Trends in incidence of lung cancer in Croatia from 2001 to 2013: gender and regional differences

PubMed Central

Siroglavić, Katarina-Josipa; Polić Vižintin, Marina; Tripković, Ingrid; Šekerija, Mario; Kukulj, Suzana

2017-01-01

Aim To provide an overview of the lung cancer incidence trends in the City of Zagreb (Zagreb), Split-Dalmatia County (SDC), and Croatia in the period from 2001 to 2013. Method Incidence data were obtained from the Croatian National Cancer Registry. For calculating incidence rates per 100 000 population, we used population estimates for the period 2001-2013 from the Croatian Bureau of Statistics. Age-standardized rates of lung cancer incidence were calculated by the direct standardization method using the European Standard Population. To describe incidence trends, we used joinpoint regression analysis. Results Joinpoint analysis showed a statistically significant decrease in lung cancer incidence in men in all regions, with an annual percentage change (APC) of -2.2% for Croatia, 1.9% for Zagreb, and -2.0% for SDC. In women, joinpoint analysis showed a statistically significant increase in the incidence for Croatia, with APC of 1.4%, a statistically significant increase of 1.0% for Zagreb, and no significant change in trend for SDC. In both genders, joinpoint analysis showed a significant decrease in age-standardized incidence rates of lung cancer, with APC of -1.3% for Croatia, -1.1% for Zagreb, and -1.6% for SDC. Conclusion There was an increase in female lung cancer incidence rate and a decrease in male lung cancer incidence rate in Croatia in 2001-20013 period, with similar patterns observed in all the investigated regions. These results highlight the importance of smoking prevention and cessation policies, especially among women and young people. PMID:29094814

Prostate cancer mortality in Serbia, 1991-2010: a joinpoint regression analysis.

PubMed

Ilic, Milena; Ilic, Irena

2016-06-01

The aim of this descriptive epidemiological study was to analyze the mortality trend of prostate cancer in Serbia (excluding the Kosovo and Metohia) from 1991 to 2010. The age-standardized prostate cancer mortality rates (per 100 000) were calculated by direct standardization, using the World Standard Population. Average annual percentage of change (AAPC) and the corresponding 95% confidence interval (CI) was computed for trend using the joinpoint regression analysis. Significantly increased trend in prostate cancer mortality was recorded in Serbia continuously from 1991 to 2010 (AAPC = +2.2, 95% CI = 1.6-2.9). Mortality rates for prostate cancer showed a significant upward trend in all men aged 50 and over: AAPC (95% CI) was +1.9% (0.1-3.8) in aged 50-59 years, +1.7% (0.9-2.6) in aged 60-69 years, +2.0% (1.2-2.9) in aged 70-79 years and +3.5% (2.4-4.6) in aged 80 years and over. According to comparability test, prostate cancer mortality trends in majority of age groups were parallel (final selected model failed to reject parallelism, P > 0.05). The increasing prostate cancer mortality trend implies the need for more effective measures of prevention, screening and early diagnosis, as well as prostate cancer treatment in Serbia. © The Author 2015. Published by Oxford University Press on behalf of Faculty of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Canadian firearms legislation and effects on homicide 1974 to 2008.

PubMed

Langmann, Caillin

2012-08-01

Canada has implemented legislation covering all firearms since 1977 and presents a model to examine incremental firearms control. The effect of legislation on homicide by firearm and the subcategory, spousal homicide, is controversial and has not been well studied to date. Legislative effects on homicide and spousal homicide were analyzed using data obtained from Statistics Canada from 1974 to 2008. Three statistical methods were applied to search for any associated effects of firearms legislation. Interrupted time series regression, ARIMA, and Joinpoint analysis were performed. Neither were any significant beneficial associations between firearms legislation and homicide or spousal homicide rates found after the passage of three Acts by the Canadian Parliament--Bill C-51 (1977), C-17 (1991), and C-68 (1995)--nor were effects found after the implementation of licensing in 2001 and the registration of rifles and shotguns in 2003. After the passage of C-68, a decrease in the rate of the decline of homicide by firearm was found by interrupted regression. Joinpoint analysis also found an increasing trend in homicide by firearm rate post the enactment of the licensing portion of C-68. Other factors found to be associated with homicide rates were median age, unemployment, immigration rates, percentage of population in low-income bracket, Gini index of income equality, population per police officer, and incarceration rate. This study failed to demonstrate a beneficial association between legislation and firearm homicide rates between 1974 and 2008.

Silent changes of tuberculosis in Iran (2005-2015): A joinpoint regression analysis.

PubMed

Marvi, Abolfazl; Asadi-Aliabadi, Mehran; Darabi, Mehdi; Rostami-Maskopaee, Fereshteh; Siamian, Hasan; Abedi, Ghasem

2017-01-01

Tuberculosis (TB) poses a severe risk to public health through the world but excessively distresses low-income nations. The aim of this study is to analyze silent changes of TB in Iran (2005-2015): A joinpoint regression analysis. This is a trend study conducted on all patients ( n = 70) that register in control disease center of Joibar (one of coastal cities and tourism destination in Northern Iran which was recognized as an independent town since 1998) during 2005-2015. The characteristics of patients imported to the SPSS 19 and variation in incidence rate of different forms of pulmonary TB (PTB) (PTB+ or PTB-) and extra-PTB (EPTB)/year was analyzed. Variation in incidence rate of TB for male and female groups and different age groups (0-14, 15-24, 25-34, 35-44, 45-54, 55-64, and above 65 years) was analyzed, variation in trend of this diseases for different groups was compared in intended years, and also, variation in incidence rate of TB was analyzed by Joinpoint Regression Software. The total number of TB was 70 cases during 2005-2015. The mean age of patients was 42.31 ± 21.26 years and median age was 40 years. About 71.4% of patients were PTB (55.7% for with PTB+ and 15.7% with PTB-) and rest of them (28.4%) were EPTB. In regard to classification of cases, 97.1% of them were new cases, 1.45% of them were relapsed cases, and 1.45% of them imported cases. In addition, history of hospitalization due to TB was observed in 44.3%. Despite recent developments of governmental health-care system in Iran and proper access to it and considering this fact that identification of TB cases with passive surveillance is possible. Hence, developing certain programs for sensitization of the covered population is essential.

Trend Analysis of Cancer Mortality and Incidence in Panama, Using Joinpoint Regression Analysis.

PubMed

Politis, Michael; Higuera, Gladys; Chang, Lissette Raquel; Gomez, Beatriz; Bares, Juan; Motta, Jorge

2015-06-01

Cancer is one of the leading causes of death worldwide and its incidence is expected to increase in the future. In Panama, cancer is also one of the leading causes of death. In 1964, a nationwide cancer registry was started and it was restructured and improved in 2012. The aim of this study is to utilize Joinpoint regression analysis to study the trends of the incidence and mortality of cancer in Panama in the last decade. Cancer mortality was estimated from the Panamanian National Institute of Census and Statistics Registry for the period 2001 to 2011. Cancer incidence was estimated from the Panamanian National Cancer Registry for the period 2000 to 2009. The Joinpoint Regression Analysis program, version 4.0.4, was used to calculate trends by age-adjusted incidence and mortality rates for selected cancers. Overall, the trend of age-adjusted cancer mortality in Panama has declined over the last 10 years (-1.12% per year). The cancers for which there was a significant increase in the trend of mortality were female breast cancer and ovarian cancer; while the highest increases in incidence were shown for breast cancer, liver cancer, and prostate cancer. Significant decrease in the trend of mortality was evidenced for the following: prostate cancer, lung and bronchus cancer, and cervical cancer; with respect to incidence, only oral and pharynx cancer in both sexes had a significant decrease. Some cancers showed no significant trends in incidence or mortality. This study reveals contrasting trends in cancer incidence and mortality in Panama in the last decade. Although Panama is considered an upper middle income nation, this study demonstrates that some cancer mortality trends, like the ones seen in cervical and lung cancer, behave similarly to the ones seen in high income countries. In contrast, other types, like breast cancer, follow a pattern seen in countries undergoing a transition to a developed economy with its associated lifestyle, nutrition, and body weight changes.

Secular trend analysis of lung cancer incidence in Sihui city, China between 1987 and 2011.

PubMed

Du, Jin-Lin; Lin, Xiao; Zhang, Li-Fang; Li, Yan-Hua; Xie, Shang-Hang; Yang, Meng-Jie; Guo, Jie; Lin, Er-Hong; Liu, Qing; Hong, Ming-Huang; Huang, Qi-Hong; Liao, Zheng-Er; Cao, Su-Mei

2015-07-31

With industrial and econom ic development in recent decades in South China, cancer incidence may have changed due to the changing lifestyle and environment. However, the trends of lung cancer and the roles of smoking and other environmental risk factors in the development of lung cancer in rural areas of South China remain unclear. The purpose of this study was to explore the lung cancer incidence trends and the possible causes of these trends. Joinpoint regression analysis and the age-period-cohort (APC) model were used to analyze the lung cancer incidence trends in Sihui, Guangdong province, China between 1987 and 2011, and explore the possible causes of these trends. A total of 2,397 lung cancer patients were involved in this study. A 3-fold increase in the incidence of lung cancer in both sexes was observed over the 25-year period. Joinpoint regression analysis showed that while the incidence continued to increase steadily in females during the entire period, a sharp acceleration was observed in males starting in 2005. The full APC model was selected to describe age, period, and birth cohort effects on lung cancer incidence trends in Sihui. The age cohorts in both sexes showed a continuously significant increase in the relative risk (RR) of lung cancer, with a peak in the eldest age group (80-84 years). The RR of lung cancer showed a fluctuating curve in both sexes. The birth cohorts identified an increased trend in both males and females; however, males had a plateau in the youngest cohorts who were born during 1955-1969. Increasing trends of the incidence of lung cancer in Sihui were dominated by the effects of age and birth cohorts. Social aging, smoking, and environmental changes may play important roles in such trends.

[The effect of increasing tobacco tax on tobacco sales in Japan].

PubMed

Ito, Yuri; Nakamura, Masakazu

2013-09-01

Since the special tobacco tax was established in 1998, the tobacco tax and price of tobacco have increased thrice, in 2003, 2006, and 2010, respectively. We evaluated the effect of increases in tax on the consumption and sales of tobacco in Japan using the annual data on the number of tobacco products sold and the total sales from Japan Tobacco, Inc. We applied the number of tobacco products sold and the total sales per year to a joinpoint regression model to examine the trends in the data. This model could help identify the year in which a decrease or increase was apparent from the data. In addition, we examined the effect of each tax increase while also considering other factors that may have caused a decrease in the levels of tobacco consumption using the method proposed by Hirano et al. According to the joinpoint regression analysis, the number of tobacco products sold started decreasing in 1998, and the trends of decrease accelerated to 5% per year, from 2005. Owing to the tax increase, tobacco sales reduced by -2.4%, -2.9%, and -10.1% (corrected for the effect of the Tohoku Great Earthquake), and price elasticity was estimated as -0.30, -0.27, and -0.28 (corrected) in 2003, 2006, and 2010, respectively. The effect of tobacco tax increase on the decrease in tobacco sales was greatest in 2010, while the price elasticity remained almost the same as it was during the previous tax increase. The sharp hike in tobacco tax in 2010 decreased the number of tobacco products sold, while the price elasticity in 2010 was similar to that in 2003 and 2006. Our findings suggest that further increase in tobacco tax is needed to reduce the damage caused by smoking in the people of Japan.

Mortality trends among Japanese dialysis patients, 1988-2013: a joinpoint regression analysis.

PubMed

Wakasugi, Minako; Kazama, Junichiro James; Narita, Ichiei

2016-09-01

Evaluation of mortality trends in dialysis patients is important for improving their prognoses. The present study aimed to examine temporal trends in deaths (all-cause, cardiovascular, noncardiovascular and the five leading causes) among Japanese dialysis patients. Mortality data were extracted from the Japanese Society of Dialysis Therapy registry. Age-standardized mortality rates were calculated by direct standardization against the 2013 dialysis population. The average annual percentage of change (APC) and the corresponding 95% confidence interval (CI) were computed for trends using joinpoint regression analysis. A total of 469 324 deaths occurred, of which 25.9% were from cardiac failure, 17.5% from infectious disease, 10.2% from cerebrovascular disorders, 8.6% from malignant tumors and 5.6% from cardiac infarction. The joinpoint trend for all-cause mortality decreased significantly, by -3.7% (95% CI -4.2 to -3.2) per year from 1988 through 2000, then decreased more gradually, by -1.4% (95% CI -1.7 to -1.2) per year during 2000-13. The improved mortality rates were mainly due to decreased deaths from cardiovascular disease, with mortality rates due to noncardiovascular disease outnumbering those of cardiovascular disease in the last decade. Among the top five causes of death, cardiac failure has shown a marked decrease in mortality rate. However, the rates due to infectious disease have remained stable during the study period [APC 0.1 (95% CI -0.2-0.3)]. Significant progress has been made, particularly with regard to the decrease in age-standardized mortality rates. The risk of cardiovascular death has decreased, while the risk of death from infection has remained unchanged for 25 years. © The Author 2016. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Hysterectomy trends in Australia, 2000-2001 to 2013-2014: joinpoint regression analysis.

PubMed

Wilson, Louise F; Pandeya, Nirmala; Mishra, Gita D

2017-10-01

Hysterectomy is a common gynecological procedure, particularly in middle and high income countries. The aim of this paper was to describe and examine hysterectomy trends in Australia from 2000-2001 to 2013-2014. For women aged 25 years and over, data on the number of hysterectomies performed in Australia annually were sourced from the National Hospital and Morbidity Database. Age-specific and age-standardized hysterectomy rates per 10 000 women were estimated with adjustment for hysterectomy prevalence in the population. Using joinpoint regression analysis, we estimated the average annual percentage change over the whole study period (2000-2014) and the annual percentage change for each identified trend line segment. A total of 431 162 hysterectomy procedures were performed between 2000-2001 and 2013-2014; an annual average of 30 797 procedures (for women aged 25+ years). The age-standardized hysterectomy rate, adjusted for underlying hysterectomy prevalence, decreased significantly over the whole study period [average annual percentage change -2.8%; 95% confidence interval (CI) -3.5%, -2.2%]. The trend was not linear with one joinpoint detected in 2008-2009. Between 2000-2001 and 2008-2009 there was a significant decrease in incidence (annual percentage change -4.4%; 95% CI -5.2%, -3.7%); from 2008-2009 to 2013-2014 the decrease was minimal and not significantly different from zero (annual percentage change -0.1%; 95% CI -1.7%, 1.5%). A similar change in trend was seen in all age groups. Hysterectomy rates in Australian women aged 25 years and over have declined in the first decade of the 21st century. However, in the last 5 years, rates appear to have stabilized. © 2017 Nordic Federation of Societies of Obstetrics and Gynecology.

Testing and referral patterns in the years surrounding the US Preventive Services Task Force recommendation against prostate-specific antigen screening.

PubMed

Hutchinson, Ryan; Akhtar, Abdulhadi; Haridas, Justin; Bhat, Deepa; Roehrborn, Claus; Lotan, Yair

2016-12-15

Since the US Preventive Services Task Force (USPSTF) recommended against prostate-specific antigen (PSA) screening, there have been conflicting reports regarding the impact on the behavior of providers. This study analyzed real-world data on PSA ordering and referral practices in the years surrounding the recommendation. A whole-institution sample of entered PSA orders and urology referrals was obtained from the electronic medical record. The study was performed at a tertiary referral center with a catchment in the southern United States. PSA examinations were defined as screening when they were ordered by providers with appointments in internal medicine, family medicine, or general internal medicine. Linear and quadratic regression analyses were performed, and joinpoint regression was used to assess for trend inflection points. Between January 2010 and July 2015, there were 275,784 unique ambulatory visits for men. There were 63,722 raw PSA orders, and 54,684 were evaluable. Primary care providers ordered 17,315 PSA tests and 858 urology referrals. The number of PSA tests per ambulatory visit, the number of referrals per ambulatory visit, the age at the time of the urology referral, and the proportion of PSA tests performed outside the recommended age range did not significantly change. The PSA value at the time of referral increased significantly (P = .022). Joinpoint analysis revealed no joinpoints in the analysis of total PSA orders, screening PSA tests, or examinations per 100 visits. In the years surrounding the USPSTF recommendation, PSA behavior did not change significantly. Patients were referred at progressively higher average PSA levels. The implications for prostate cancer outcomes from these trends warrant further research into provider variables associated with actual PSA utilization. Cancer 2016;122:3785-3793. © 2016 American Cancer Society. © 2016 American Cancer Society.

Colorectal cancer mortality trends in Córdoba, Argentina.

PubMed

Pou, Sonia Alejandra; Osella, Alberto Rubén; Eynard, Aldo Renato; Niclis, Camila; Diaz, María del Pilar

2009-12-01

Colorectal cancer is a leading cause of death worldwide for men and women, and one of the most commonly diagnosed in Córdoba, Argentina. The aim of this work was to provide an up-to-date approach to descriptive epidemiology of colorectal cancer in Córdoba throughout the estimation of mortality trends in the period 1986-2006, using Joinpoint and age-period-cohort (APC) models. Age-standardized (world population) mortality rates (ASMR), overall and truncated (35-64 years), were calculated and Joinpoint regression performed to compute the estimated annual percentage changes (EAPC). Poisson sequential models were fitted to estimate the effect of age (11 age groups), period (1986-1990, 1991-1995, 1996-2000 or 2001-2006) and cohort (13 ten-years cohorts overlapping each other by five-years) on colorectal cancer mortality rates. ASMR showed an overall significant decrease (EAPC -0.9 95%CI: -1.7, -0.2) for women, being more noticeable from 1996 onwards (EAPC -2.1 95%CI: -4.0, -0.1). Age-effect showed an important rise in both sexes, but more evident in males. Birth cohort- and period effects reflected increasing and decreasing tendencies for men and women, respectively. Differences in mortality rates were found according to sex and could be related to age-period-cohort effects linked to the ageing process, health care and lifestyle. Further research is needed to elucidate the specific age-, period- and cohort-related factors.

Consecutive Non-Significant Segments — Joinpoint Help System 4.4.0.0

Cancer.gov

Sometimes, the APC for one segment is significantly different from zero, but when an extra joinpoint in the segment is determined by the Joinpoint software, neither APCs for the two consecutive segments are significant. Why?

Analysis of cerebrovascular disease mortality trends in Andalusia (1980-2014).

PubMed

Cayuela, A; Cayuela, L; Rodríguez-Domínguez, S; González, A; Moniche, F

2017-03-15

In recent decades, mortality rates for cerebrovascular diseases (CVD) have decreased significantly in many countries. This study analyses recent tendencies in CVD mortality rates in Andalusia (1980-2014) to identify any changes in previously observed sex and age trends. CVD mortality and population data were obtained from Spain's National Statistics Institute database. We calculated age-specific and age-standardised mortality rates using the direct method (European standard population). Joinpoint regression analysis was used to estimate the annual percentage change in rates and identify significant changes in mortality trends. We also estimated rate ratios between Andalusia and Spain. Standardised rates for both males and females showed 3 periods in joinpoint regression analysis: an initial period of significant decline (1980-1997), a period of rate stabilisation (1997-2003), and another period of significant decline (2003-2014). Between 1997 and 2003, age-standardised rates stabilised in Andalusia but continued to decrease in Spain as a whole. This increased in the gap between CVD mortality rates in Andalusia and Spain for both sexes and most age groups. Copyright © 2017 The Author(s). Publicado por Elsevier España, S.L.U. All rights reserved.

Colorectal cancer mortality trends in Serbia during 1991-2010: an age-period-cohort analysis and a joinpoint regression analysis.

PubMed

Ilic, Milena; Ilic, Irena

2016-06-22

For both men and women worldwide, colorectal cancer is among the leading causes of cancer-related death. This study aimed to assess the mortality trends of colorectal cancer in Serbia between 1991 and 2010, prior to the introduction of population-based screening. Joinpoint regression analysis was used to estimate average annual percent change (AAPC) with the corresponding 95% confidence interval (CI). Furthermore, age-period-cohort analysis was performed to examine the effects of birth cohort and calendar period on the observed temporal trends. We observed a significantly increased trend in colorectal cancer mortality in Serbia during the study period (AAPC = 1.6%, 95% CI 1.3%-1.8%). Colorectal cancer showed an increased mortality trend in both men (AAPC = 2.0%, 95% CI 1.7%-2.2%) and women (AAPC = 1.0%, 95% CI 0.6%-1.4%). The temporal trend of colorectal cancer mortality was significantly affected by birth cohort (P < 0.05), whereas the study period did not significantly affect the trend (P = 0.072). Colorectal cancer mortality increased for the first several birth cohorts in Serbia (from 1916 to 1955), followed by downward flexion for people born after the 1960s. According to comparability test, overall mortality trends for colon cancer and rectal and anal cancer were not parallel (the final selected model rejected parallelism, P < 0.05). We found that colorectal cancer mortality in Serbia increased considerably over the past two decades. Mortality increased particularly in men, but the trends were different according to age group and subsite. In Serbia, interventions to reduce colorectal cancer burden, especially the implementation of a national screening program, as well as treatment improvements and measures to encourage the adoption of a healthy lifestyle, are needed.

Malignant Lymphatic and Hematopoietic Neoplasms Mortality in Serbia, 1991–2010: A Joinpoint Regression Analysis

PubMed Central

Ilic, Milena; Ilic, Irena

2014-01-01

Background Limited data on mortality from malignant lymphatic and hematopoietic neoplasms have been published for Serbia. Methods The study covered population of Serbia during the 1991–2010 period. Mortality trends were assessed using the joinpoint regression analysis. Results Trend for overall death rates from malignant lymphoid and haematopoietic neoplasms significantly decreased: by −2.16% per year from 1991 through 1998, and then significantly increased by +2.20% per year for the 1998–2010 period. The growth during the entire period was on average +0.8% per year (95% CI 0.3 to 1.3). Mortality was higher among males than among females in all age groups. According to the comparability test, mortality trends from malignant lymphoid and haematopoietic neoplasms in men and women were parallel (final selected model failed to reject parallelism, P = 0.232). Among younger Serbian population (0–44 years old) in both sexes: trends significantly declined in males for the entire period, while in females 15–44 years of age mortality rates significantly declined only from 2003 onwards. Mortality trend significantly increased in elderly in both genders (by +1.7% in males and +1.5% in females in the 60–69 age group, and +3.8% in males and +3.6% in females in the 70+ age group). According to the comparability test, mortality trend for Hodgkin's lymphoma differed significantly from mortality trends for all other types of malignant lymphoid and haematopoietic neoplasms (P<0.05). Conclusion Unfavourable mortality trend in Serbia requires targeted intervention for risk factors control, early diagnosis and modern therapy. PMID:25333862

Trends in esophageal cancer mortality in China during 1987-2009: age, period and birth cohort analyzes.

PubMed

Guo, Pi; Li, Ke

2012-04-01

Esophageal cancer is one of the most commonly diagnosed malignant tumors in China. The aim of this study was to provide the representative and comprehensive informations about the long-term mortality trends of this disease in China between 1987 and 2009, using joinpoint regression and generalized additive models (GAMs). Age-standardized mortality rates (ASMR), overall and truncated (35-64 years), were calculated using the direct calculation method, and joinpoint regression was performed to obtain the estimated annual percentage changes (EAPC). GAMs were fitted to study the effects of age, period and birth cohort on mortality trends. ASMR exhibited an overall remarked decline for rural females (EAPC=-2.3 95%CI: -3.3, -1.2), urban males (EAPC=-1.8 95%CI: -2.6, -1.0) and urban females (EAPC=-3.7 95%CI: -4.9, -2.4), but a small drop observed was not statistically significant for rural males (EAPC=-0.9 95%CI: -2.0, 0.3). The declines in ASMR were more noticeable for urban residents in recent years. Among all the residents, age effect showed an progressively increasing trend, whereas cohort effect declined steadily after the year corresponding to the maximum risk value. Period effect seemed to remain substantially unchanged throughout the years. Although variations in mortality rates were observed according to sex and area, the overall decreasing trends in esophageal cancer mortality were found in most Chinese people, aside from rural males. The findings could correspond to the changes in age- and cohort-related factors in the population. Further study is required to understand these potential factors. Copyright © 2011 Elsevier Ltd. All rights reserved.

The impact of OSHA recordkeeping regulation changes on occupational injury and illness trends in the US: a time-series analysis.

PubMed

Friedman, Lee S; Forst, Linda

2007-07-01

The Survey of Occupational Injuries and Illnesses (SOII), based on Occupational Safety and Health Administration (OSHA) logs, indicates that the number of occupational injuries and illnesses in the US has steadily declined by 35.8% between 1992-2003. However, major changes to the OSHA recordkeeping standard occurred in 1995 and 2001. The authors assessed the relation between changes in OSHA recordkeeping regulations and the trend in occupational injuries and illnesses. SOII data available from the Bureau of Labor Statistics for years 1992-2003 were collected. The authors assessed time series data using join-point regression models. Before the first major recordkeeping change in 1995, injuries and illnesses declined annually by 0.5%. In the period 1995-2000 the slope declined by 3.1% annually (95% CI -3.7% to -2.5%), followed by another more precipitous decline occurring in 2001-2003 (-8.3%; 95% CI -10.0% to -6.6%). When stratifying the data, the authors continued to observe significant changes occurring in 1995 and 2001. The substantial declines in the number of injuries and illnesses correspond directly with changes in OSHA recordkeeping rules. Changes in employment, productivity, OSHA enforcement activity and sampling error do not explain the large decline. Based on the baseline slope (join-point regression analysis, 1992-4), the authors expected a decline of 407 964 injuries and illnesses during the period of follow-up if no intervention occurred; they actually observed a decline of 2.4 million injuries and illnesses of which 2 million or 83% of the decline can be attributed to the change in the OSHA recordkeeping rules.

Mortality from cystic fibrosis in Europe: 1994-2010.

PubMed

Quintana-Gallego, Esther; Ruiz-Ramos, Miguel; Delgado-Pecellin, Isabel; Calero, Carmen; Soriano, Joan B; Lopez-Campos, Jose Luis

2016-02-01

To date, available mortality trends due to cystic fibrosis (CF) have been limited to the analysis of certain countries in different parts of the world showing that mortality trends have been constantly decreasing. However, no studies have examined Europe as a whole. The present study aims to analyze CF mortality trends by gender within the European Union (EU) and to quantify potential years of life lost (PYLL). Deaths from the 27 EU countries were obtained from the statistical office of the EU from the years 1994-2010. Crude and age-standardized mortality rates (ASR) were estimated for women and men using the standard European population, expressed in deaths per 1,000,000 persons. The PYLL from ages 0 up to 30 years were estimated. Trends were studied by a joinpoint regression analysis. During the study period, 5,130 deaths (2,443 in males and 2,687 in females) were identified. Females had a slightly higher mortality rate than males, with a downward trend observed for both genders. In males, the ASR changed from 1.34 in 1994 to 1.03 in 2010. In females, the ASR changed from 1.42 in 1994 to 0.92 in 2010. The mean age at death and PYLL increased for both genders. The joinpoint analysis did not identify any significant joinpoint for either gender for ASR or PYLL. Our data suggest a continued downward trend of CF mortality throughout the EU, with differences by country and gender. © 2015 Wiley Periodicals, Inc.

[Incidence and survival of esophageal cancer with different histological types in Linzhou between 2003 and 2012].

PubMed

Liu, S Z; Yu, L; Chen, Q; Quan, P L; Cao, X Q; Sun, X B

2017-05-06

Objective: To investigate the incidence and survival of esophageal cancer with different histological types and to understand the incidence trend and burden of esophageal cancer in Linzhou during 2003-2012. Methods: All incidence records of esophageal cancer and population reported were collected from Linzhou Cancer Registry during 2003-2012. Incidence rate was calculated using gender and histological types. Age standardized incidence rate was calculated according to world Segi's population and Chinese census data in 2000. Age standardized incidence rate by world population between 2003 and 2012 was analyzed with JoinPoint regression model and estimated annual percentage change (EAPC) was calculated. 5-year survival rate was calculated with Kaplan-Meier model. Results: There were 8 229 esophageal cancer cases in Linzhou during 2003-2012. The average annual incidence rate was 80.08/100 000 (8 229/10 276 481). Among all esophageal cancer cases, 7 019 (85.3%) were diagnosed as esophageal squamous cell carcinoma (ESCC). In Linzhou, the age standardized incidence rate by Chinese standard population and by world standard population was 80.92/100 000 and 81.85/100 000 in 2003, 67.97/100 000 and 68.63/100 000 in 2012. JoinPoint regression model showed that EAPC was-12.9% (95 %CI: -16.4%--9.1%) for other and unspecified histological type between 2003 and 2012. The EAPC was-5.5% (95 %CI: -9.2%--1.6%) for esophageal cancer between 2007 and 2012,-5.4% (95 %CI: -7.0%--3.9%) for esophageal cancer in female between 2006 and 2012,-4.9% (95 %CI: -9.5%--0.1%) for ESCC between 2007 and 2012. The 5-year prevalence of esophageal cancer was 215.49 per 100 000 (2 337/1 084 493), and 5 489 died within 5 years after incidence. 5-year survival rate of esophageal cancer was 34.6% (95 %CI: 33.5%-35.6%). Conclusion: Esophageal cancer had a decreasing trend in Linzhou. The survival rate was increasing. But, esophageal cancer was still a major burden in Linzhou. The major histological type was ESCC. ESCC had a similar decreasing trend with esophageal cancer.

Temporal trends in motor vehicle fatalities in the United States, 1968 to 2010 - a joinpoint regression analysis.

PubMed

Bandi, Priti; Silver, Diana; Mijanovich, Tod; Macinko, James

2015-12-01

In the past 40 years, a variety of factors might have impacted motor vehicle (MV) fatality trends in the US, including public health policies, engineering innovations, trauma care improvements, etc. These factors varied in their timing across states/localities, and many were targeted at particular population subgroups. In order to identify and quantify differential rates of change over time and differences in trend patterns between population subgroups, this study employed a novel analytic method to assess temporal trends in MV fatalities between 1968 and 2010, by age group and sex. Cause-specific MV fatality data from traffic injuries between 1968 and 2010, based on death certificates filed in the 50 states, and DC were obtained from Centers for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research (CDC WONDER). Long-term (1968 to 2010) and short-term (log-linear piecewise segments) trends in fatality rates were compared for males and females overall and in four separate age groups using joinpoint regression. MV fatalities declined on average by 2.4% per year in males and 2.2% per year in females between 1968 and 2010, with significant declines observed in all age groups and in both sexes. In males overall and those 25 to 64 years, sharp declines between 1968 and mid-to-late 1990s were followed by a stalling until the mid-2000s, but rates in females experienced a long-term steady decline of a lesser magnitude than males during this time. Trends in those aged <1 to 14 years and 15 to 24 years were mostly steady over time, but males had a larger decline than females in the latter age group between 1968 and the mid-2000s. In ages 65+, short-term trends were similar between sexes. Despite significant long-term declines in MV fatalities, the application of Joinpoint Regression found that progress in young adult and middle-aged adult males stalled in recent decades and rates in males declined relatively more than in females in certain age groups. Future research is needed to establish the causes of these observed trends, including the potential role of contemporaneous MV-related policies and their repeal. Such research is needed in order to better inform the design and evaluation of future population interventions addressing MV fatalities nationally.

A study of home deaths in Japan from 1951 to 2002

PubMed Central

Yang, Limin; Sakamoto, Naoko; Marui, Eiji

2006-01-01

Background Several surveys in Japan have indicated that most terminally ill Japanese patients would prefer to die at home or in a homelike setting. However, there is a great disparity between this stated preference and the reality, since most Japanese die in hospital. We report here national changes in home deaths in Japan over the last 5 decades. Using prefecture data, we also examined the factors in the medical service associated with home death in Japan. Methods Published data on place of death was obtained from the vital statistics compiled by the Ministry of Health, Labor and Welfare of Japan. We analyzed trends of home deaths from 1951 to 2002, and describe the changes in the proportion of home deaths by region, sex, age, and cause of death. Joinpoint regression analysis was used for trend analysis. Logistic regression analysis was performed to identify secular trends in home deaths, and the impact of age, sex, year of deaths and cause of deaths on home death. We also examined the association between home death and medical service factors by multiple regression analysis, using home death rate by prefectures in 2002 as a dependent variable. Results A significant decrease in the percentage of patients dying at home was observed in the results of joinpoint regression analysis. Older patients and males were more likely to die at home. Patients who died from cancer were less likely to die at home. The results of multiple regression analysis indicated that home death was related to the number of beds in hospital, ratio of daily occupied beds in general hospital, the number of families in which the elderly were living alone, and dwelling rooms. Conclusion The pattern of the place of death has not only been determined by social and demographic characteristics of the decedent, but also associated with the medical service in the community. PMID:16524485

Long-term trends of suicide by choice of method in Norway: a joinpoint regression analysis of data from 1969 to 2012.

PubMed

Puzo, Quirino; Qin, Ping; Mehlum, Lars

2016-03-11

Suicide mortality and the rates by specific methods in a population may change over time in response to concurrent changes in relevant factors in society. This study aimed to identify significant changing points in method-specific suicide mortality from 1969 to 2012 in Norway. Data on suicide mortality by specific methods and by sex and age were retrieved from the Norwegian Cause-of-Death Register. Long-term trends in age-standardized rates of suicide mortality were analyzed by using joinpoint regression analysis. The most frequently used suicide method in the total population was hanging, followed by poisoning and firearms. Men chose suicide by firearms more often than women, whereas poisoning and drowning were more frequently used by women. The joinpoint analysis revealed that the overall trend of suicide mortality significantly changed twice along the period of 1969 to 2012 for both sexes. The male age-standardized suicide rate increased by 3.1% per year until 1989, and decreased by 1.2% per year between 1994 and 2012. Among females the long-term suicide rate increased by 4.0% per year until 1988, decreased by 5.5% through 1995, and then stabilized. Both sexes experienced an upward trend for suicide by hanging during the 44-year observation period, with a particularly significant increase in 15-24 year old males. The most distinct change among men was seen for firearms after 1988 with a significant decrease through 2012 of around 5% per year. For women, significant reductions since 1985-88 were observed for suicide by drowning and poisoning. The present study demonstrates different time trends for different suicide methods with significant reductions in suicide by firearms, drowning and poisoning after the peak in the suicide rate in the late 1980s. Suicide by means of hanging continuously increased, but did not fully compensate for the reduced use of other methods. This lends some support for the effectiveness of method-specific suicide preventive measures, such as restrictions to the access to firearms, which had been implemented in Norway during the relevant time period.

Diabetes mortality in Serbia, 1991-2015 (a nationwide study): A joinpoint regression analysis.

PubMed

Ilic, Milena; Ilic, Irena

2017-02-01

The aim of this study was to analyze the mortality trends of diabetes mellitus in Serbia (excluding the Autonomous Province of Kosovo and Metohia). A population-based cross sectional study analyzing diabetes mortality in Serbia in the period 1991-2015 was carried out based on official data. The age-standardized mortality rates (per 100,000) were calculated by direct standardization, using the European Standard Population. Average annual percentage of change (AAPC) and the corresponding 95% confidence interval (CI) were computed using the joinpoint regression analysis. More than 63,000 (about 27,000 of men and 36,000 of women) diabetes deaths occurred in Serbia from 1991 to 2015. Death rates from diabetes were almost equal in men and in women (about 24.0 per 100,000) and places Serbia among the countries with the highest diabetes mortality rates in Europe. Since 1991, mortality from diabetes in men significantly increased by +1.2% per year (95% CI 0.7-1.7), but non-significantly increased in women by +0.2% per year (95% CI -0.4 to 0.7). Increased trends in diabetes type 1 mortality rates were significant in both genders in Serbia. Trends in mortality for diabetes type 2 showed a significant decrease in both genders since 2010. Given that diabetes mortality trends showed different patterns during the studied period, our results imply that further observation of trend is needed. Copyright © 2016 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.

Comparing methods of measuring geographic patterns in temporal trends: an application to county-level heart disease mortality in the United States, 1973 to 2010.

PubMed

Vaughan, Adam S; Kramer, Michael R; Waller, Lance A; Schieb, Linda J; Greer, Sophia; Casper, Michele

2015-05-01

To demonstrate the implications of choosing analytical methods for quantifying spatiotemporal trends, we compare the assumptions, implementation, and outcomes of popular methods using county-level heart disease mortality in the United States between 1973 and 2010. We applied four regression-based approaches (joinpoint regression, both aspatial and spatial generalized linear mixed models, and Bayesian space-time model) and compared resulting inferences for geographic patterns of local estimates of annual percent change and associated uncertainty. The average local percent change in heart disease mortality from each method was -4.5%, with the Bayesian model having the smallest range of values. The associated uncertainty in percent change differed markedly across the methods, with the Bayesian space-time model producing the narrowest range of variance (0.0-0.8). The geographic pattern of percent change was consistent across methods with smaller declines in the South Central United States and larger declines in the Northeast and Midwest. However, the geographic patterns of uncertainty differed markedly between methods. The similarity of results, including geographic patterns, for magnitude of percent change across these methods validates the underlying spatial pattern of declines in heart disease mortality. However, marked differences in degree of uncertainty indicate that Bayesian modeling offers substantially more precise estimates. Copyright © 2015 Elsevier Inc. All rights reserved.

Increasing incidence of thyroid cancer in the Nordic countries with main focus on Swedish data.

PubMed

Carlberg, Michael; Hedendahl, Lena; Ahonen, Mikko; Koppel, Tarmo; Hardell, Lennart

2016-07-07

Radiofrequency radiation in the frequency range 30 kHz-300 GHz was evaluated to be Group 2B, i.e. 'possibly' carcinogenic to humans, by the International Agency for Research on Cancer (IARC) at WHO in May 2011. Among the evaluated devices were mobile and cordless phones, since they emit radiofrequency electromagnetic fields (RF-EMF). In addition to the brain, another organ, the thyroid gland, also receives high exposure. The incidence of thyroid cancer is increasing in many countries, especially the papillary type that is the most radiosensitive type. We used the Swedish Cancer Register to study the incidence of thyroid cancer during 1970-2013 using joinpoint regression analysis. In women, the incidence increased statistically significantly during the whole study period; average annual percentage change (AAPC) +1.19 % (95 % confidence interval (CI) +0.56, +1.83 %). Two joinpoints were detected, 1979 and 2001, with a high increase of the incidence during the last period 2001-2013 with an annual percentage change (APC) of +5.34 % (95 % CI +3.93, +6.77 %). AAPC for all men during 1970-2013 was +0.77 % (95 % CI -0.03, +1.58 %). One joinpoint was detected in 2005 with a statistically significant increase in incidence during 2005-2013; APC +7.56 % (95 % CI +3.34, +11.96 %). Based on NORDCAN data, there was a statistically significant increase in the incidence of thyroid cancer in the Nordic countries during the same time period. In both women and men a joinpoint was detected in 2006. The incidence increased during 2006-2013 in women; APC +6.16 % (95 % CI +3.94, +8.42 %) and in men; APC +6.84 % (95 % CI +3.69, +10.08 %), thus showing similar results as the Swedish Cancer Register. Analyses based on data from the Cancer Register showed that the increasing trend in Sweden was mainly caused by thyroid cancer of the papillary type. We postulate that the whole increase cannot be attributed to better diagnostic procedures. Increasing exposure to ionizing radiation, e.g. medical computed tomography (CT) scans, and to RF-EMF (non-ionizing radiation) should be further studied. The design of our study does not permit conclusions regarding causality.

Recent lung cancer mortality trends in Europe: effect of national smoke-free legislation strengthening.

PubMed

López-Campos, Jose L; Ruiz-Ramos, Miguel; Fernandez, Esteve; Soriano, Joan B

2018-07-01

The impact of smoke-free legislation within European Union (EU) countries on lung cancer mortality has not been evaluated to date. We aimed to determine lung cancer mortality trends in the EU-27 by sex, age, and calendar year for the period of 1994 and 2012, and relate them with changes in tobacco legislation at the national level. Deaths by Eurostat in each European country were analyzed, focusing on ICD-10 codes C33 and C34 from the years 1994 to 2012. Age-standardized mortality rates (ASR) were estimated separately for women and men in the EU-27 total and within country for each one of the years studied, and the significance of changing trends was estimated by joinpoint regression analysis, exploring lag times after initiation of smoke-free legislation in every country, if any. From 1994 to 2012, there were 4 681 877 deaths from lung cancer in Europe (3 491 607 in men and 1 190 180 in women) and a nearly linear decrease in mortality rates because of lung cancer in men from was observed1994 to 2012, mirrored in women by an upward trend, narrowing the sex gap during the study period from 5.1 in 1994 to 2.8 in 2012. Joinpoint regression analysis identified a number of trend changes over time, but it appears that they were unrelated to the implementation of smoke-free legislations. A few years after the introduction of smoke-free legislations across Europe, trends of lung cancer mortality trends have not changed.

[Birth rates evolution in Spain. Birth trends in Spain from 1941 to 2010].

PubMed

Andrés de Llano, J M; Alberola López, S; Garmendia Leiza, J R; Quiñones Rubio, C; Cancho Candela, R; Ramalle-Gómara, E

2015-01-01

The aim of this study was to analyse trends of births in Spain and its Autonomous Communities (CCAA) over a 70 year period (1941-2010). The crude birth rates per 1,000 inhabitants/year were calculated by CCAA using Joinpoint regression models. Change points in trend and annual percentage of change (APC) were identified. The distribution of 38,160,305 births between 1941 and 2010 shows important changes in trends both nationally and among the CCAA. There is a general pattern for the whole country, with 5 turning points being identified with changes in trend and annual percentage change (APC). Differences are also found among regions. The analysis of trends in birth rates and the annual rates of change should enable public health authorities to properly plan pediatric care resources in our country. Copyright © 2014 Asociación Española de Pediatría. Published by Elsevier Espana. All rights reserved.

Prediction of Cancer Incidence and Mortality in Korea, 2018.

PubMed

Jung, Kyu-Won; Won, Young-Joo; Kong, Hyun-Joo; Lee, Eun Sook

2018-04-01

This study aimed to report on cancer incidence and mortality for the year 2018 to estimate Korea's current cancer burden. Cancer incidence data from 1999 to 2015 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2016 were acquired from Statistics Korea. Cancer incidence and mortality were projected by fitting a linear regression model to observed age-specific cancer rates against observed years, then multiplying the projected age-specific rates by the age-specific population. The Joinpoint regression model was used to determine at which year the linear trend changed significantly, we only used the data of the latest trend. A total of 204,909 new cancer cases and 82,155 cancer deaths are expected to occur in Korea in 2018. The most common cancer sites were lung, followed by stomach, colorectal, breast and liver. These five cancers represent half of the overall burden of cancer in Korea. For mortality, the most common sites were lung cancer, followed by liver, colorectal, stomach and pancreas. The incidence rate of all cancer in Korea are estimated to decrease gradually, mainly due to decrease of thyroid cancer. These up-to-date estimates of the cancer burden in Korea could be an important resource for planning and evaluation of cancer-control programs.

Time Trend Analysis of Cancer‏ Incidence in Caspian Sea, 2004 - 2009: A Population-based Cancer Registries Study (northern Iran).

PubMed

Salehiniya, Hamid; Ghobadi Dashdebi, Sakineh; Rafiemanesh, Hosein; Mohammadian-Hafshejani, Abdollah; Enayatrad, Mostafa

2016-01-01

Cancer is a major public health problem in the world. In Iran especially after a transition to a dynamic and urban community, the pattern of cancer has changed significantly. An important change occurred regarding the incidence of cancer at the southern shores of the Caspian Sea, including Gilan, Mazandaran and Golestan province. This study was designed it investigate the epidemiology and changes in trend of cancer incidence in the geographic region of the Caspian Sea (North of Iran). Data were collected from Cancer Registry Center report of Iran health deputy. Trends of incidence were analyzed by joinpoint regression analysis. During the study period year (2004-2009), 33,807 cases of cancer had been recorded in three provinces of Gilan, Mazandran and Golstan. Joinpoint analysis indicated a significant increase in age-standardized incidence rates (ASR) with an average annual percentage change (AAPC) 10.3, 8.5 and 5.2 in Gilan, Mazandaran and Golestan, respectively. The most common cancer in these provinces were correspondingly cancer of stomach, breast, skin, colorectal and bladder, respectively. The incidence of cancer tends to be increasing in North of Iran. These findings warrant the epidemiologic studies are helpful in planning preventive programs and recognition of risk factors.

Breast Cancer Trend in Iran from 2000 to 2009 and Prediction till 2020 using a Trend Analysis Method.

PubMed

Zahmatkesh, Bibihajar; Keramat, Afsaneh; Alavi, Nasrinossadat; Khosravi, Ahmad; Kousha, Ahmad; Motlagh, Ali Ghanbari; Darman, Mahboobeh; Partovipour, Elham; Chaman, Reza

2016-01-01

Breast cancer is the most common cancer in women worldwide with a rising incidence rate in most countries. Considering the increase in life expectancy and change in lifestyle of Iranian women, this study investigated the age-adjusted trend of breast cancer incidence during 2000-2009 and predicted its incidence to 2020. The 1997 and 2006 census results were used for the projection of female population by age through the cohort-component method over the studied years. Data from the Iranian cancer registration system were used to calculate the annual incidence rate of breast cancer. The age-adjusted incidence rate was then calculated using the WHO standard population distribution. The five-year-age-specific incidence rates were also obtained for each year and future incidence was determined using the trend analysis method. Annual percentage change (APC) was calculated through the joinpoint regression method. The bias adjusted incidence rate of breast cancer increased from 16.7 per 100,000 women in 2000 to 33.6 per 100,000 women in 2009. The incidence of breast cancer had a growing trend in almost all age groups above 30 years over the studied years. In this period, the age groups of 45-65 years had the highest incidence. Investigation into the joinpoint curve showed that the curve had a steep slope with an APC of 23.4% before the first joinpoint, but became milder after this. From 2005 to 2009, the APC was calculated as 2.7%, through which the incidence of breast cancer in 2020 was predicted as 63.0 per 100,000 women. The age-adjusted incidence rate of breast cancer continues to increas in Iranian women. It is predicted that this trend will continue until 2020. Therefore, it seems necessary to prioritize the prevention, control and care for breast cancer in Iran.

Quantifying trends in disease impact to produce a consistent and reproducible definition of an emerging infectious disease.

PubMed

Funk, Sebastian; Bogich, Tiffany L; Jones, Kate E; Kilpatrick, A Marm; Daszak, Peter

2013-01-01

The proper allocation of public health resources for research and control requires quantification of both a disease's current burden and the trend in its impact. Infectious diseases that have been labeled as "emerging infectious diseases" (EIDs) have received heightened scientific and public attention and resources. However, the label 'emerging' is rarely backed by quantitative analysis and is often used subjectively. This can lead to over-allocation of resources to diseases that are incorrectly labelled "emerging," and insufficient allocation of resources to diseases for which evidence of an increasing or high sustained impact is strong. We suggest a simple quantitative approach, segmented regression, to characterize the trends and emergence of diseases. Segmented regression identifies one or more trends in a time series and determines the most statistically parsimonious split(s) (or joinpoints) in the time series. These joinpoints in the time series indicate time points when a change in trend occurred and may identify periods in which drivers of disease impact change. We illustrate the method by analyzing temporal patterns in incidence data for twelve diseases. This approach provides a way to classify a disease as currently emerging, re-emerging, receding, or stable based on temporal trends, as well as to pinpoint the time when the change in these trends happened. We argue that quantitative approaches to defining emergence based on the trend in impact of a disease can, with appropriate context, be used to prioritize resources for research and control. Implementing this more rigorous definition of an EID will require buy-in and enforcement from scientists, policy makers, peer reviewers and journal editors, but has the potential to improve resource allocation for global health.

Research Trends in Evidence-Based Medicine: A Joinpoint Regression Analysis of More than 50 Years of Publication Data

PubMed Central

Hung, Bui The; Long, Nguyen Phuoc; Hung, Le Phi; Luan, Nguyen Thien; Anh, Nguyen Hoang; Nghi, Tran Diem; Van Hieu, Mai; Trang, Nguyen Thi Huyen; Rafidinarivo, Herizo Fabien; Anh, Nguyen Ky; Hawkes, David; Huy, Nguyen Tien; Hirayama, Kenji

2015-01-01

Background Evidence-based medicine (EBM) has developed as the dominant paradigm of assessment of evidence that is used in clinical practice. Since its development, EBM has been applied to integrate the best available research into diagnosis and treatment with the purpose of improving patient care. In the EBM era, a hierarchy of evidence has been proposed, including various types of research methods, such as meta-analysis (MA), systematic review (SRV), randomized controlled trial (RCT), case report (CR), practice guideline (PGL), and so on. Although there are numerous studies examining the impact and importance of specific cases of EBM in clinical practice, there is a lack of research quantitatively measuring publication trends in the growth and development of EBM. Therefore, a bibliometric analysis was constructed to determine the scientific productivity of EBM research over decades. Methods NCBI PubMed database was used to search, retrieve and classify publications according to research method and year of publication. Joinpoint regression analysis was undertaken to analyze trends in research productivity and the prevalence of individual research methods. Findings Analysis indicates that MA and SRV, which are classified as the highest ranking of evidence in the EBM, accounted for a relatively small but auspicious number of publications. For most research methods, the annual percent change (APC) indicates a consistent increase in publication frequency. MA, SRV and RCT show the highest rate of publication growth in the past twenty years. Only controlled clinical trials (CCT) shows a non-significant reduction in publications over the past ten years. Conclusions Higher quality research methods, such as MA, SRV and RCT, are showing continuous publication growth, which suggests an acknowledgement of the value of these methods. This study provides the first quantitative assessment of research method publication trends in EBM. PMID:25849641

Prediction of Cancer Incidence and Mortality in Korea, 2018

PubMed Central

Jung, Kyu-Won; Won, Young-Joo; Kong, Hyun-Joo; Lee, Eun Sook

2018-01-01

Purpose This study aimed to report on cancer incidence and mortality for the year 2018 to estimate Korea’s current cancer burden. Materials and Methods Cancer incidence data from 1999 to 2015 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2016 were acquired from Statistics Korea. Cancer incidence and mortality were projected by fitting a linear regression model to observed age-specific cancer rates against observed years, then multiplying the projected age-specific rates by the age-specific population. The Joinpoint regression model was used to determine at which year the linear trend changed significantly, we only used the data of the latest trend. Results A total of 204,909 new cancer cases and 82,155 cancer deaths are expected to occur in Korea in 2018. The most common cancer sites were lung, followed by stomach, colorectal, breast and liver. These five cancers represent half of the overall burden of cancer in Korea. For mortality, the most common sites were lung cancer, followed by liver, colorectal, stomach and pancreas. Conclusion The incidence rate of all cancer in Korea are estimated to decrease gradually, mainly due to decrease of thyroid cancer. These up-to-date estimates of the cancer burden in Korea could be an important resource for planning and evaluation of cancer-control programs. PMID:29566480

Prediction of cancer incidence and mortality in Korea, 2014.

PubMed

Jung, Kyu-Won; Won, Young-Joo; Kong, Hyun-Joo; Oh, Chang-Mo; Lee, Duk Hyoung; Lee, Jin Soo

2014-04-01

We studied and reported on cancer incidence and mortality rates as projected for the year 2014 in order to estimate Korea's current cancer burden. Cancer incidence data from 1999 to 2011 were obtained from the Korea National Cancer Incidence Database, and cancer mortality data from 1993 to 2012 were acquired from Statistics Korea. Cancer incidence in 2014 was projected by fitting a linear regression model to observed age-specific cancer incidence rates against observed years, then multiplying the projected age-specific rates by the age-specific population. For cancer mortality, a similar procedure was employed, except that a Joinpoint regression model was used to determine at which year the linear trend changed significantly. A total of 265,813 new cancer cases and 74,981 cancer deaths are expected to occur in Korea in 2014. Further, the crude incidence rate per 100,000 of all sites combined will likely reach 524.7 and the age-standardized incidence rate, 338.5. Meanwhile, the crude mortality rate of all sites combined and age-standardized rate are projected to be 148.0 and 84.6, respectively. Given the rapid rise in prostate cancer cases, it is anticipated to be the fourth most frequently occurring cancer site in men for the first time. Cancer has become the most prominent public health concern in Korea, and as the population ages, the nation's cancer burden will continue to increase.

Impact of hepatitis B vaccination on acute hepatitis B epidemiology in European Union/European Economic Area countries, 2006 to 2014

PubMed Central

Miglietta, Alessandro; Quinten, Chantal; Lopalco, Pier Luigi; Duffell, Erika

2018-01-01

Hepatitis B prevention in European Union/European Economic Area (EU/EEA) countries relies on vaccination programmes. We describe the epidemiology of acute hepatitis B virus (HBV) at country and EU/EEA level during 2006–2014. Using a multi-level mixed-effects Poisson regression model we assessed differences in the acute HBV infection notification rates between groups of countries that started universal HBV vaccination before/in vs after 1995; implemented or not a catch-up strategy; reached a vaccine coverage ≥ 95% vs < 95% and had a hepatitis B surface antigen prevalence ≥ 1% vs < 1%. Joinpoint regression analysis was used to assess trends by groups of countries, and additional Poisson regression models to evaluate the association between three-dose HBV vaccine coverage and acute HBV infection notification rates at country and EU/EEA level. The EU/EEA acute HBV infection notification rate decreased from 1.6 per 100,000 population in 2006 to 0.7 in 2014. No differences (p > 0.05) were found in the acute HBV infection notification rates between groups of countries, while as vaccine coverage increased, such rates decreased (p < 0.01). Countries with universal HBV vaccination before 1995, a catch-up strategy, and a vaccine coverage ≥ 95% had significant decreasing trends (p < 0.01). Ending HBV transmission in Europe by 2030 will require high vaccine coverage delivered through universal programmes, supported, where appropriate, by catch-up vaccination campaigns. PMID:29439751

National trends in the recommendation of radiotherapy after prostatectomy for prostate cancer before and after the reporting of a survival benefit in March 2009.

PubMed

Mahal, Brandon A; Hoffman, Karen E; Efstathiou, Jason A; Nguyen, Paul L

2015-06-01

Three randomized trials demonstrated that postprostatectomy adjuvant radiotherapy improves biochemical disease-free survival for patients with adverse pathologic features, and 1 trial found adjuvant radiotherapy improves overall survival. We sought to determine whether postprostatectomy radiotherapy (PPRT) utilization changed after publication of the survival benefit in March 2009. The Surveillance, Epidemiology, and End Results database was used to identify men diagnosed with prostate cancer from 2004 to 2011 who met criteria for enrollment in the randomized trials (positive margins and/or pT3-4 disease at radical prostatectomy). Joinpoint regression identified inflection points in PPRT utilization. Logistic regression was used to evaluate factors associated with PPRT recommendation. Of 35,361 men, 5104 (14.4%) received a recommendation for PPRT. In joinpoint regression, 2009 was the inflection point in PPRT utilization. In multivariable analysis, PPRT recommendations were more likely after March 2009 than before 15.8% vs. 13.5%, adjusted odds ratio (AOR; 1.09; 95% confidence interval [CI], 1.02-1.16; P = .008), in men with pT3 (vs. pT2, AOR, 2.81; 95% CI, 2.53-3.11; P < .001), pT4 (vs. pT2 AOR, 4.62; 95% CI, 3.85-5.54; P < .001), or margin positive (AOR, 1.46; 95% CI, 1.34-1.58; P < .001) disease and in men who were younger (per year decrease, AOR, 1.02; 95% CI, 1.02-1.03; P < .001), married (AOR, 1.10; 95% CI, 1.02-1.19; P = .01), or lived in metropolitan areas (AOR, 1.30; 95% CI, 1.16-1.47; P < .001). PPRT recommendations increased after the reporting of a survival benefit in March 2009, but absolute utilization rates remain low, suggesting that the oncologic community remains unconvinced that PPRT is needed for most patients with adverse features. Further work is needed to identify patients who might benefit most from PPRT. Copyright © 2015 Elsevier Inc. All rights reserved.

Trends in Mortality of Tuberculosis Patients in the United States: The Long-term Perspective

PubMed Central

Barnes, Richard F.W.; Moore, Maria Luisa; Garfein, Richard S.; Brodine, Stephanie; Strathdee, Steffanie A.; Rodwell, Timothy C.

2011-01-01

PURPOSE To describe long-term trends in TB mortality and to compare trends estimated from two different sources of public health surveillance data. METHODS Trends and changes in trend were estimated by joinpoint regression. Comparisons between datasets were made by fitting a Poisson regression model. RESULTS Since 1900, TB mortality rates estimated from death certificates have declined steeply, except for a period of no change in the 1980s. This decade had long-term consequences resulting in more TB deaths in later years than would have occurred had there been no flattening of the trend. Recent trends in TB mortality estimated from National Tuberculosis Surveillance System (NTSS) data, which record all-cause mortality, differed from trends based on death certificates. In particular, NTSS data showed TB mortality rates flattening since 2002. CONCLUSIONS Estimates of trends in TB mortality vary by data source, and therefore interpretation of the success of control efforts will depend upon the surveillance dataset used. The datasets may be subject to different biases that vary with time. One dataset showed a sustained improvement in the control of TB since the early 1990s while the other indicated that the rate of TB mortality was no longer declining. PMID:21820320

Cervical Cancer Incidence in Young U.S. Females After Human Papillomavirus Vaccine Introduction.

PubMed

Guo, Fangjian; Cofie, Leslie E; Berenson, Abbey B

2018-05-30

Since 2006, human papillomavirus vaccine has been recommended for young females in the U.S. This study aimed to compare cervical cancer incidence among young women before and after the human papillomavirus vaccine was introduced. This cross-sectional study used data from the National Program for Cancer Registries and Surveillance, Epidemiology, and End Results Incidence-U.S. Cancer Statistics 2001-2014 database for U.S. females aged 15-34 years. This study compared the 4-year average annual incidence of invasive cervical cancer in the 4 years before human papillomavirus vaccine was introduced (2003-2006) and the 4 most recent years in the vaccine era (2011-2014). Joinpoint regression models of cervical incidence from 2001 to 2014 were fitted to identify the discrete joints (year) that represent statistically significant changes in the direction of the trend after the introduction of human papillomavirus vaccination in 2006. Data were collected in 2001-2014, released, and analyzed in 2017. The 4-year average annual incidence rates for cervical cancer in 2011-2014 were 29% lower than that in 2003-2006 (6.0 vs 8.4 per 1,000,000 people, rate ratio=0.71, 95% CI=0.64, 0.80) among females aged 15-24 years, and 13.0% lower among females aged 25-34 years. Joinpoint analyses of cervical cancer incidence among females aged 15-24 years revealed a significant joint at 2009 for both squamous cell carcinoma and non-squamous cell carcinoma. Among females aged 25-34 years, there was no significant decrease in cervical cancer incidence after 2006. A significant decrease in the incidence of cervical cancer among young females after the introduction of human papillomavirus vaccine may indicate early effects of human papillomavirus vaccination. Copyright © 2018 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved.

Trends in brain cancer mortality among U.S. Gulf War veterans: 21 year follow-up.

PubMed

Barth, Shannon K; Dursa, Erin K; Bossarte, Robert M; Schneiderman, Aaron I

2017-10-01

Previous mortality studies of U.S. Gulf War veterans through 2000 and 2004 have shown an increased risk of brain cancer mortality among some deployed individuals. When veterans possibly exposed to environmental contaminants associated with demolition of the Khamisiyah Ammunition Storage Facility at Khamisiyah, Iraq, have been compared to contemporaneously deployed unexposed veterans, the results have suggested increased risk for mortality from brain cancer among the exposed. Brain cancer mortality risk in this cohort has not been updated since 2004. This study analyzes the risk for brain cancer mortality between 1991-2011 through two series of comparisons: U.S. Gulf War deployed and non-deployed veterans from the same era; and veterans possibly exposed to environmental contaminants at Khamisiyah compared to contemporaneously deployed but unexposed U.S. Gulf War veterans. Risk of brain cancer mortality was determined using logistic regression. Life test hazard models were created to plot comparisons of annual hazard rates. Joinpoint regression models were applied to assess trends in hazard rates for brain cancer mortality. U.S. Army veterans possibly exposed at Khamisiyah had similar rates of brain cancer mortality compared to those not possibly exposed; however, veterans possibly exposed had a higher risk of brain cancer in the time period immediately following the Gulf War. Results from these analyses suggest that veterans possibly exposed at Khamisiyah experienced different patterns of brain cancer mortality risk compared to the other groups. Published by Elsevier Ltd.

Pancreatic cancer mortality in Serbia from 1991-2010 – a joinpoint analysis

PubMed Central

Ilić, Milena; Vlajinac, Hristina; Marinković, Jelena; Kocev, Nikola

2013-01-01

Aim To analyze the trends of pancreatic cancer mortality in Serbia. Methods The study covered the population of Serbia in the period 1991 to 2010. Mortality trends were assessed by the joinpoint regression analysis by age and sex. Results Age-standardized mortality rates ranged from 5.93 to 8.57 per 100 000 in men and from 3.51 to 5.79 per 100 000 in women. Pancreatic cancer mortality in all age groups was higher among men than among women. It was continuously increasing since 1991 by 1.6% (95% confidence interval [CI] 1.1 to 2.0) yearly in men and by 2.2% (95% CI 1.7 to 2.7) yearly in women. Changes in mortality were not significant in younger age groups for both sexes. In older men (≥55 years), mortality was increasing, although in age groups 70-74 and 80-84 the increase was not significant. In 65-69 years old men, the increase in mortality was significant only in the period 2004 to 2010. In ≥50 years old women, mortality significantly increased from 1991 onward. In 75-79 years old women, a non-significant decrease in the period 1991 to 2000 was followed by a significant increase from 2000 to 2010. Conclusion Serbia is one of the countries with the highest pancreatic cancer mortality in the world, with increasing mortality trend in both sexes and in most age groups. PMID:23986278

Epidemiological patterns of tick-borne encephalitis in Lithuania and clinical features in adults in the light of the high incidence in recent years: a retrospective study.

PubMed

Radzišauskienė, D; Žagminas, K; Ašoklienė, L; Jasionis, A; Mameniškienė, R; Ambrozaitis, A; Jančorienė, L; Jatužis, D; Petraitytė, I; Mockienė, E

2018-02-01

Lithuania is one of the countries with the highest incidence of tick-borne encephalitis (TBE) in Europe. The aim of this study was to describe the epidemiological patterns of TBE in Lithuania, and characterize clinical features in adults in the light of the high incidence in recent years. Surveillance data available on the website of the Centre for Communicable Diseases and AIDS of Lithuania were used to describe the epidemiological patterns of TBE. The retrospective study included 712 patients hospitalized in the Centre for Infectious Diseases and the Centre for Neurology of Vilnius University in the years 2005-2014. Tick-borne encephalitis incidence rates have been increasing by 8.5% per year for the 45-year period from 1970 to 2014. The joinpoint model finds two joinpoints at 1991 and 1994, with a significant decrease of 8.4% per year (P < 0.05) prior to the joinpoint at 1991, and a rise of 195.2% afterwards. TBE presented with meningoencephalitis in 556 cases (81.3%). A total of 129 patients (18%) had a severe case of the disease. The most common neurological signs were ataxia (579, 81.3%), meningeal signs (474, 66.5%) and tremor (338, 47.5%). Limb paresis was observed in 6.3% of patients. Five patients (0.7%) died, and 544 patients (76.7%) were discharged with sequelae. Intensified efforts in promoting TBE vaccination will be needed in the light of the high incidence and expanded spatial distribution. Significant prognostic factors for severe cases of the disease were age above 61 and delayed immune response of specific immunoglobulin G. © 2017 The Authors. European Journal of Neurology published by John Wiley & Sons Ltd on behalf of European Academy of Neurology.

Ischaemic heart disease mortality in Serbia, 1991-2013; a joinpoint analysis

PubMed Central

Ilic, Milena; Ilic, Irena

2017-01-01

Background & objectives: Ischaemic heart disease (IHD) has been one of the leading causes of mortality in the world. In many European countries the mortality rates due to IHD have been rising rapidly. This study was aimed to assess the IHD mortality trend in Serbia. Methods: A population-based cross-sectional study analyzing IHD mortality in Serbia in the period 1991-2013 was carried out based on official data. The age-standardized rates (ASRs, per 100,000) were calculated using the direct method, according to the European standard population. Joinpoint analysis was used to estimate the average annual percentage change (AAPC) with the corresponding 95 per cent confidence interval (CI). Results: More than 253,000 people (143,420 men and 110,276 women) died due to IHD in Serbia during the observed period, and most of them (over 160,000 people) were patients with myocardial infarction (MI). Average annual ASR for IHD was 113.6/100,000. There was no overall significant trend for mortality due to IHD (AAPC=+0.1%, 95% CI −0.8-1.0), but there was one joinpoint: the trend significantly increased by +2.3 per cent per year from 1991 to 2006 and then significantly decreased by −6.4 per cent from 2006 to onwards. Significantly decreased mortality trends for MI in both genders were observed: according to the comparability test, mortality trends in men and women were parallel (final selected model failed to reject parallelism, P=0.0567). Interpretation & conclusions: No significant trend for mortality due to IHD was observed in Serbia during the study period. The substantial decline of mortality from IHD seen in most developed countries during the past decades was not observed in Serbia. Further efforts are required to reduce mortality from IHD in Serbian population. PMID:29664033

Recent changes in the trends of teen birth rates, 1981-2006.

PubMed

Wingo, Phyllis A; Smith, Ruben A; Tevendale, Heather D; Ferré, Cynthia

2011-03-01

To explore trends in teen birth rates by selected demographics. We used birth certificate data and joinpoint regression to examine trends in teen birth rates by age (10-14, 15-17, and 18-19 years) and race during 1981-2006 and by age and Hispanic origin during 1990-2006. Joinpoint analysis describes changing trends over successive segments of time and uses annual percentage change (APC) to express the amount of increase or decrease within each segment. For teens younger than 18 years, the decline in birth rates began in 1994 and ended in 2003 (APC: -8.03% per year for ages 10-14 years; APC: -5.63% per year for ages 15-17 years). The downward trend for 18- and 19-year-old teens began earlier (1991) and ended 1 year later (2004) (APC: -2.37% per year). For each study population, the trend was approximately level during the most recent time segment, except for continuing declines for 18- and 19-year-old white and Asian/Pacific Islander teens. The only increasing trend in the most recent time segment was for 18- and 19-year-old Hispanic teens. During these declines, the age distribution of teens who gave birth shifted to slightly older ages, and the percentage whose current birth was at least their second birth decreased. Teen birth rates were generally level during 2003/2004-2006 after the long-term declines. Rates increased among older Hispanic teens. These results indicate a need for renewed attention to effective teen pregnancy prevention programs in specific populations. Copyright © 2011. Published by Elsevier Inc.

The devil is in the details: trends in avoidable hospitalization rates by geography in British Columbia, 1990–2000

PubMed Central

Cloutier-Fisher, Denise; Penning, Margaret J; Zheng, Chi; Druyts, Eric-Bené F

2006-01-01

Background Researchers and policy makers have focussed on the development of indicators to help monitor the success of regionalization, primary care reform and other health sector restructuring initiatives. Certain indicators are useful in examining issues of equity in service provision, especially among older populations, regardless of where they live. AHRs are used as an indicator of primary care system efficiency and thus reveal information about access to general practitioners. The purpose of this paper is to examine trends in avoidable hospitalization rates (AHRs) during a period of time characterized by several waves of health sector restructuring and regionalization in British Columbia. AHRs are examined in relation to non-avoidable and total hospitalization rates as well as by urban and rural geography across the province. Methods Analyses draw on linked administrative health data from the province of British Columbia for 1990 through 2000 for the population aged 50 and over. Joinpoint regression analyses and t-tests are used to detect and describe trends in the data. Results Generally speaking, non-avoidable hospitalizations constitute the vast majority of hospitalizations in a given year (i.e. around 95%) with AHRs constituting the remaining 5% of hospitalizations. Comparing rural areas and urban areas reveals that standardized rates of avoidable, non-avoidable and total hospitalizations are consistently higher in rural areas. Joinpoint regression results show significantly decreasing trends overall; lines are parallel in the case of avoidable hospitalizations, and lines are diverging for non-avoidable and total hospitalizations, with the gap between rural and urban areas being wider at the end of the time interval than at the beginning. Conclusion These data suggest that access to effective primary care in rural communities remains problematic in BC given that rural areas did not make any gains in AHRs relative to urban areas under recent health sector restructuring initiatives. It remains important to continue to monitor the discrepancy between them as a reflection of inequity in service provision. In addition, it is important to consider alternative explanations for the observed trends paying particular attention to the needs of rural and urban populations and the factors influencing local service provision. PMID:16914056

Impact of the global financial crisis on low birth weight in Portugal: a time-trend analysis.

PubMed

Kana, Musa Abubakar; Correia, Sofia; Peleteiro, Barbara; Severo, Milton; Barros, Henrique

2017-01-01

The 2007-2008 global financial crisis had adverse consequences on population health of affected European countries. Few contemporary studies have studied its effect on perinatal indicators with long-lasting influence on adult health. Therefore, in this study, we investigated the impact of the 2007-2008 global financial crisis on low birth weight (LBW) in Portugal. Data on 2 045 155 singleton births of 1995-2014 were obtained from Statistics Portugal. Joinpoint regression analysis was performed to identify the years in which changes in LBW trends occurred, and to estimate the annual per cent changes (APC). LBW risk by time period expressed as prevalence ratios were computed using the Poisson regression. Contextual changes in sociodemographic and economic factors were provided by their trends. The joinpoint analysis identified 3 distinct periods (2 jointpoints) with different APC in LBW, corresponding to 1995-1999 (APC=4.4; 95% CI 3.2 to 5.6), 2000-2006 (APC=0.1; 95% CI -050 to 0.7) and 2007-2014 (APC=1.6; 95% CI 1.2 to 2.0). For non-Portuguese, it was, respectively, 1995-1999 (APC=1.4; 95% CI -3.9 to 7.0%), 2000-2007 (APC=-4.2; 95% CI -6.4 to -2.0) and 2008-2014 (APC=3.1; 95% CI 0.8 to 5.5). Compared with 1995-1999, all specific maternal characteristics had a 10-15% increase in LBW risk in 2000-2006 and a 20-25% increase in 2007-2014, except among migrants, for which LBW risk remained lower than in 1995-1999 but increased after the crisis. The increasing LBW risk coincides with a deceleration in gross domestic product growth rate, reduction in health expenditure, social protection allocation on family/children support and sickness. The 2007-2008 global financial crisis was associated with a significant increase in LBW, particularly among infants of non-Portuguese mothers. We recommend strengthening social policies aimed at maternity protection for vulnerable mothers and health system maintenance of social equity in perinatal healthcare.

[Cancer mortality trends in Mexico, 1980-2011].

PubMed

Torres-Sánchez, Luisa E; Rojas-Martínez, Rosalba; Escamilla-Núñez, Consuelo; de la Vara-Salazar, Elvia; Lazcano-Ponce, Eduardo

2014-01-01

To evaluate trends in cancer mortality in Mexico between 1980-2011. Through direct method and using World Population 2010 as standard population, mortality rates for all cancers and the 15 most frequent locations, adjusted for age and sex were calculated. Trends in mortality rates and annual percentage change for each type of cancer were estimated by joinpoint regression model. As a result of the reduction in mortality from lung cancer (-3.2% -1.8% in men and in women), stomach (-2.1% -2.4% in men and in women) and cervix (-4.7%); since 2004 a significant (~1% per year) decline was observed in cancer mortality in general, in all ages, and in the group of 35-64 years of both sexes. Other cancers such as breast and ovarian cancer in women; as well as for prostate cancer in men, showed a steady increase. Some of the reductions in cancer mortality may be partially attributed to the effectiveness of prevention programs. However, adequate records of population-based cancer are needed to assess the real impact of these programs; as well as designing and evaluating innovative interventions to develop more cost-effective prevention policies.

Evolution of the use of noninvasive mechanical ventilation in chronic obstructive pulmonary disease in a Spanish region, 1997-2010.

PubMed

Carpe-Carpe, Bienvenida; Hernando-Arizaleta, Lauro; Ibáñez-Pérez, M Carmen; Palomar-Rodríguez, Joaquín A; Esquinas-Rodríguez, Antonio M

2013-08-01

Noninvasive mechanical ventilation (NIV) appeared in the 1980s as an alternative to invasive mechanical ventilation (IMV) in patients with acute respiratory failure. We evaluated the introduction of NIV and the results in patients with acute exacerbation of chronic obstructive pulmonary disease in the Region of Murcia (Spain). A retrospective observational study based on the minimum basic hospital discharge data of all patients hospitalised for this pathology in all public hospitals in the region between 1997 and 2010. We performed a time trend analysis on hospital attendance, the use of each ventilatory intervention and hospital mortality through joinpoint regression. We identified 30.027 hospital discharges. Joinpoint analysis: downward trend in attendance (annual percentage change [APC]=-3.4, 95% CI: - 4.8; -2.0, P <.05) and in the group without ventilatory intervention (APC=-4.2%, -5.6; -2.8, P <.05); upward trend in the use of NIV (APC=16.4, 12.0; 20. 9, P <.05), and downward trend that was not statistically significant in IMV (APC=-4.5%, -10.3; 1.7). We observed an upward trend without statistical significance in overall mortality (APC=0.5, -1.3; 2.4) and in the group without intervention (APC=0.1, -1.6; 1.9); downward trend with statistical significance in the NIV group (APC=-7.1, -11.7; -2.2, P <.05) and not statistically significant in the IMV group (APC=-0,8, -6, 1; 4.8). The mean stay did not change substantially. The introduction of NIV has reduced the group of patients not receiving assisted ventilation. No improvement in results was found in terms of mortality or length of stay. Copyright © 2012 SEPAR. Published by Elsevier Espana. All rights reserved.

Age-period-cohort analysis of the suicide rate in Korea.

PubMed

Park, Chiho; Jee, Yon Ho; Jung, Keum Ji

2016-04-01

The suicide rate has been increasing in Korea, and the country now has the highest rank in the world. This study aimed to present the long-term trends in Korea's suicide rate using Joinpoint analysis and age-period-cohort (APC) modeling. The population and the number of suicides for each five-year age group were obtained from the National Statistical Office for the period 1984-2013 for Koreans aged 10 years and older. We determined the changes in the trends in age-standardized mortality rates using Joinpoint. APC modeling was performed to describe the trends in the suicide rate using the intrinsic estimator method. The age-standardized suicide rate in men rapidly increased from 1989 to 2004, and slightly increased thereafter, whereas the suicide rate in women increased from 1989 to 2009 and then decreased thereafter. Within the same period, the suicide rate was higher among the older age groups than in the younger groups. Within the same birth cohort, the suicide rate of the older groups was also higher than that in the younger groups. Within the same age group, the suicide rate of the younger cohorts was higher than it was in the older cohorts. In the APC modeling, old age, recent period, and having been born before 1924 were associated with higher suicide rates. The accuracy and completeness of the suicide rate data may lead to bias. This study showed an increasing trend in the suicide rates for men and women after 1989. These trends may be mainly attributed to cohort effects. Copyright © 2016 Elsevier B.V. All rights reserved.

[Trends of cancer mortality rates in children and adolescents by level of marginalization in Mexico (1990-2009)].

PubMed

Escamilla-Santiago, Ricardo Antonio; Narro-Robles, José; Fajardo-Gutiérrez, Arturo; Rascón-Pacheco, Ramón Alberto; López-Cervantes, Malaquías

2012-01-01

To determine childhood and adolescent cancer mortality by the level of marginalization in Mexico. We used 1990-2009 death certificates estimating age-standardized rates. We calculated the Average Annual Percent Change (AAPC) using the Joinpoint Regression program available at the National Cancer Institute to assess tendency. Cancer mortality rates increased. AAPC were 0.87% male and 0.96% female children, and for adolescents were: males 1.22% and females 0.63%. The neoplasm pattern in infants was leukemia -central nervous system- lymphomas; and in adolescents it was leukemia -bone and articulation- lymphomas. The increase in cancer mortality corresponded to the high and highest marginated areas of each state. The increase in highly marginated areas may be partly explained by well-documented local registration of deaths. Further studies focusing on survival are required in order to better assess the effectiveness of cancer detection and medical treatment in our country.

Past, present and future of colorectal cancer in the Kingdom of Saudi Arabia.

PubMed

Ibrahim, Ezzeldin M; Zeeneldin, Ahmed A; El-Khodary, Tawfik R; Al-Gahmi, Aboelkhair M; Bin Sadiq, Bakr M

2008-10-01

The crude frequency of colorectal cancer (CRC) is second to breast cancer in the Kingdom of Saudi Arabia (KSA). To assess the future burden of CRC in the country, we designed a model that takes into consideration the recent lifestyle pattern and the growth and aging of the population. We compared CRC statistics for KSA (using data from the National Cancer Registry) with that from the Surveillance, Epidemiology and End Results (SEER) databases of the United States of America (USA). We used the Joinpoint regression program to identify changes in secular trends, while the GLOBOCAN 2002 software was used to project future incidence and mortality. Between 1994 and 2003, age-standardized rates (ASRs) for CRC in KSA almost doubled, as compared to a nonsignificant decline in USA. Between 2001 and 2003, while the annual percent change (APC) of CRC incidence in the USA showed a nonsignificant decrease in females, APC in Saudi females showed a nonsignificant rise of six percent. On the other hand, the rising incidence among Saudi males, during the years 1999 to 2003, was significant, with an APC of 20.5%. The projection model suggested that the incidence of CRC in KSA could increase fourfold in both genders by the year 2030. In KSA, the present and expected increase in CRC rates is alarming. Pragmatic recommendations to face that challenge are discussed. The present work could serve as a model to study other prevalent types of cancer, particularly in developing countries.

Association between sudden infant death syndrome and diphtheria-tetanus-pertussis immunisation: an ecological study.

PubMed

Müller-Nordhorn, Jacqueline; Hettler-Chen, Chih-Mei; Keil, Thomas; Muckelbauer, Rebecca

2015-01-28

Sudden infant death syndrome (SIDS) continues to be one of the main causes of infant mortality in the United States. The objective of this study was to analyse the association between diphtheria-tetanus-pertussis (DTP) immunisation and SIDS over time. The Centers for Disease Control and Prevention provided the number of cases of SIDS and live births per year (1968-2009), allowing the calculation of SIDS mortality rates. Immunisation coverage was based on (1) the United States Immunization Survey (1968-1985), (2) the National Health Interview Survey (1991-1993), and (3) the National Immunization Survey (1994-2009). We used sleep position data from the National Infant Sleep Position Survey. To determine the time points at which significant changes occurred and to estimate the annual percentage change in mortality rates, we performed joinpoint regression analyses. We fitted a Poisson regression model to determine the association between SIDS mortality rates and DTP immunisation coverage (1975-2009). SIDS mortality rates increased significantly from 1968 to 1971 (+27% annually), from 1971 to 1974 (+47%), and from 1974 to 1979 (+3%). They decreased from 1979 to 1991 (-1%) and from 1991 to 2001 (-8%). After 2001, mortality rates remained constant. DTP immunisation coverage was inversely associated with SIDS mortality rates. We observed an incidence rate ratio of 0.92 (95% confidence interval: 0.87 to 0.97) per 10% increase in DTP immunisation coverage after adjusting for infant sleep position. Increased DTP immunisation coverage is associated with decreased SIDS mortality. Current recommendations on timely DTP immunisation should be emphasised to prevent not only specific infectious diseases but also potentially SIDS.

Impact of the global financial crisis on low birth weight in Portugal: a time-trend analysis

PubMed Central

Kana, Musa Abubakar; Correia, Sofia; Peleteiro, Barbara; Severo, Milton; Barros, Henrique

2017-01-01

Background The 2007–2008 global financial crisis had adverse consequences on population health of affected European countries. Few contemporary studies have studied its effect on perinatal indicators with long-lasting influence on adult health. Therefore, in this study, we investigated the impact of the 2007–2008 global financial crisis on low birth weight (LBW) in Portugal. Methods Data on 2 045 155 singleton births of 1995–2014 were obtained from Statistics Portugal. Joinpoint regression analysis was performed to identify the years in which changes in LBW trends occurred, and to estimate the annual per cent changes (APC). LBW risk by time period expressed as prevalence ratios were computed using the Poisson regression. Contextual changes in sociodemographic and economic factors were provided by their trends. Results The joinpoint analysis identified 3 distinct periods (2 jointpoints) with different APC in LBW, corresponding to 1995–1999 (APC=4.4; 95% CI 3.2 to 5.6), 2000–2006 (APC=0.1; 95% CI −050 to 0.7) and 2007–2014 (APC=1.6; 95% CI 1.2 to 2.0). For non-Portuguese, it was, respectively, 1995–1999 (APC=1.4; 95% CI −3.9 to 7.0%), 2000–2007 (APC=−4.2; 95% CI −6.4 to −2.0) and 2008–2014 (APC=3.1; 95% CI 0.8 to 5.5). Compared with 1995–1999, all specific maternal characteristics had a 10–15% increase in LBW risk in 2000–2006 and a 20–25% increase in 2007–2014, except among migrants, for which LBW risk remained lower than in 1995–1999 but increased after the crisis. The increasing LBW risk coincides with a deceleration in gross domestic product growth rate, reduction in health expenditure, social protection allocation on family/children support and sickness. Conclusions The 2007–2008 global financial crisis was associated with a significant increase in LBW, particularly among infants of non-Portuguese mothers. We recommend strengthening social policies aimed at maternity protection for vulnerable mothers and health system maintenance of social equity in perinatal healthcare. PMID:28589009

Trends in Guillain-Barré syndrome mortality in Spain from 1999 to 2013.

PubMed

Ruiz, Elena; Ramalle-Gómara, Enrique; Quiñones, Carmen; Martínez-Ochoa, Eva

2016-11-01

Guillain-Barré syndrome (GBS) is a rare disease that consists of a group of neuropathic conditions. Very few epidemiological studies of GBS have been carried out in Spain. The aim of this study was to determine the trends in GBS mortality in the total population of Spain for the period 1999 to 2013. Data on GBS deaths were drawn from the National Statistics Institute of Spain. Crude and overall age-standardised GBS mortality rates were calculated and joinpoint regression models were used to describe trend changes. Mean age of deceased by GBS each year was also assessed. The overall age-standardised GBS mortality rate was 0.71 per million in 1999 and 0.40 in 2013. It was higher in men, 1.08 vs. 0.42 in 1999 and 0.48 vs. 0.35 in 2013. There was a statistically significant decrease in mortality during the study period. All the age-standardised mortality rates decreased (overall and by gender) from 1999 to 2013. The mean age at death increased with time, from 73 years in 1999 to 77 years in 2013. GBS mortality has improved in Spain during the last 15 years. The age of death has risen and the mortality rate has decreased.

Incidence of oral cavity and pharynx cancer in New Hampshire, 1990-2007.

PubMed

Cherala, Sai S; Kelley, Kristina

2012-01-01

The purpose of this study is to describe trends of the statewide cancer and treatment-related characteristics of oral cavity and pharynx (OCP) cancer and prevalence of risk factors in New Hampshire residents from 1990-2007. This is a descriptive study on oral cavity and pharynx cancer using a state cancer registry dataset for 1990- 2007. The age-adjusted rates with 95% confidence intervals for cancer incidence rates and standard proportions for stage, treatment, and risk factors were calculated. The Joinpoint regression model was used for assessing linear trends for cancer rates. The overall differences for the period under study between age, female and male rate, and stage were analyzed using the test. During 1990-2007, oral cavity and pharynx cancer incidence rates for New Hampshire residents have remained stable. The cancer incidence rates have decreased for older age groups (greater than 59) and the 50-59 age group has shown increase in incidence rate of OCP cancer since 1990. There is significant increase in the late-stage diagnoses from 1990-2007. Early detection through periodic medical and dental examinations can reduce the risk of these cancers. Public health strategies that address the gaps identified by this study can reduce OCP cancer and protect the health of the New Hampshire population.

12-year trends in occupational class differences in short sickness absence among young women.

PubMed

Hilla, Sumanen; Jouni, Lahti; Eero, Lahelma; Olli, Pietiläinen; Ossi, Rahkonen

2015-06-01

Socioeconomic differences in sickness absence are well established among middle-aged employees but poorly known among younger employees, in particular for shorter spells. We examined trends in occupational class differences in short sickness absence among young women. The data were obtained from the registers of the City of Helsinki, Finland, and included female employees aged 18-34 years from 2002 to 2013. Self-certified (1-3 days) sickness absence spells were examined. Occupational class was classified into four hierarchical categories. Joinpoint regression models were used to identify major changes in sickness absence trends. Short sickness absence increased until 2008, after which it decreased in all occupational classes except manual workers. Differences in sickness absence between occupational classes remained over time. Routine non-manuals had the highest amount of short sickness absence, while managers and professionals had the smallest amount. Manual workers had somewhat less short sickness absence than routine non-manuals and semi-professionals. The socioeconomic differences in short sickness absence were clear among young women but not fully consistent as routine non-manuals tended to have more sickness absence than manual workers. Preventive measures are needed to narrow socioeconomic differences in young women's sickness absence especially among routine non-manuals. © 2015 the Nordic Societies of Public Health.

Gastric cancer mortality trends in Spain, 1976-2005, differences by autonomous region and sex

PubMed Central

2009-01-01

Background Gastric cancer is the second leading cause of oncologic death worldwide. One of the most noteworthy characteristics of this tumor's epidemiology is the marked decline reported in its incidence and mortality in almost every part of the globe in recent decades. This study sought to describe gastric cancer mortality time trends in Spain's regions for both sexes. Methods Mortality data for the period 1976 through 2005 were obtained from the Spanish National Statistics Institute. Cases were identified using the International Classification of Diseases 9th and 10th revision (codes 151 and C16, respectively). Crude and standardized mortality rates were calculated by geographic area, sex, and five-year period. Joinpoint regression analyses were performed to ascertain whether changes in gastric cancer mortality trends had occurred, and to estimate the annual percent change by sex and geographic area. Results Gastric cancer mortality decreased across the study period, with the downward trend being most pronounced in women and in certain regions situated in the interior and north of mainland Spain. Across the study period, there was an overall decrease of 2.90% per annum among men and 3.65% per annum among women. Generally, regions in which the rate of decline was sharpest were those that had initially registered the highest rates. However, the rate of decline was not constant throughout the study period: joinpoint analysis detected a shift in trend for both sexes in the early 1980s. Conclusion Gastric cancer mortality displayed in both sexes a downward trend during the study period, both nationally and regionally. The different trend in rates in the respective geographic areas translated as greater regional homogeneity in gastric cancer mortality by the end of the study period. In contrast, rates in women fell more than did those in men. The increasing differences between the sexes could indicate that some risk factors may be modifying the sex-specific pattern of this tumor. PMID:19785726

Trends in lung cancer death rates in Belgium and The Netherlands: a systematic analysis of temporal patterns.

PubMed

Van Hemelrijck, Mieke J J; Kabir, Zubair; Connolly, Gregory N

2009-06-01

Belgium and The Netherlands have fairly similar smoking prevalence patterns, but distinct tobacco control policies. It is our aim to use lung cancer death rates, especially among the youngest age groups (30-39 years), as indicators of past smoking behavioral patterns to evaluate recent tobacco control efforts in both countries. Lung cancer mortality rates from 1954 to 1997 and from 1950 to 2000 were investigated in Belgium and The Netherlands, respectively, using the joinpoint regression modeling technique (log-linear Poisson models) to calculate annual percent change in death rate. In the most recent period (1984-2000) overall male lung cancer death rates have been declining at a faster rate in The Netherlands than in Belgium. In contrast, overall female lung cancer death rates (between 1950 and 2000) have been increasing at a faster rate in The Netherlands than in Belgium. Since 1988, however, APCs in death rates among Dutch females have begun to level off. Interestingly, during this same period, a significant annual decline of 7.7% among the youngest Dutch women (30-39 years) has been observed. Tobacco use prevention and interventions seem to have an impact on smoking prevalence, especially among younger age groups. In The Netherlands, where aggressive anti-tobacco campaigns were introduced a few years earlier than in Belgium, male lung cancer mortality rates have been declining more rapidly, and female lung cancer mortality rates have begun to level off.

The Feto-Maternal Health Cost of Intimate Partner Violence Among Delivery-Related Discharges in the United States, 2002-2009.

PubMed

Mogos, Mulubrhan F; Araya, Winta N; Masho, Saba W; Salemi, Jason L; Shieh, Carol; Salihu, Hamisu M

2016-02-01

Our purpose was to estimate the national prevalence of intimate partner violence (IPV) among delivery-related discharges and to investigate its association with adverse feto-maternal birth outcomes and delivery-related cost. A retrospective cross-sectional analysis of delivery-related hospital discharges from 2002 to 2009 was conducted using the Nationwide Inpatient Sample (NIS). We used ICD-9-CM codes to identify IPV, covariates, and outcomes. Multivariable logistic regression modeling was used to calculate adjusted odds ratios (OR) and 95% confidence intervals (CI) for the associations between IPV and each outcome. Joinpoint regression was used for trend analysis. During the study period, 3,649 delivery-related discharges were diagnosed with IPV (11.2 per 100,000; 95% CI = [10.0, 12.4]). IPV diagnosis during delivery is associated with stillbirth (AOR = 4.12, 95% CI = [2.75, 6.17]), preterm birth (AOR = 1.97, 95% CI = [1.59, 2.44]), fetal death (AOR = 3.34, 95% CI = [1.99, 5.61]), infant with poor intrauterine growth (AOR = 1.55, 95% CI = [1.01, 2.40]), and increased inpatient hospital care cost (US$5,438.2 vs. US$4,080.1) per each discharge, incurring an additional cost of US$4,955,707 during the study period. IPV occurring during pregnancy has a significant health burden to both the mother and infant. Education about IPV; screening at periodic intervals, including during obstetric visits; and ongoing clinical care could help to reduce or eliminate adverse effects of pregnancy-related IPV. Preventing the lifelong consequences associated with IPV can have a positive effect on the overall health of all women and delivery-related health care cost. © The Author(s) 2014.

Colorectal cancer among Koreans living in South Korea versus California: incidence, mortality, and screening rates.

PubMed

Ryu, So Yeon; Crespi, Catherine M; Maxwell, Annette E

2014-08-01

This study compared trends in colorectal cancer (CRC) incidence and mortality rates among Koreans in South Korea and Korean Americans and non-Hispanic whites in California between 1999 and 2009, and examined CRC screening rates and socio-demographic correlates of CRC screening in the two Korean populations. Age-standardized CRC incidence and mortality rates of Koreans in South Korea and Korean Americans and non-Hispanic whites in California for the years 1999-2009 were obtained from annual reports of cancer statistics and modeled using joinpoint regression. Using 2009 data from the Korean National Health and Nutrition Examination Survey and the California Health Interview Survey, we estimated and compared CRC screening rates and test modalities. We used multiple logistic regression to examine socio-demographic correlates of completion of CRC screening according to the guidelines among the two Korean populations. CRC incidence and mortality rates among South Koreans increased during 1999-2009 but more slowly during the late 2000s. In California, CRC incidence increased among Korean American females but decreased among non-Hispanic whites. About 37% of South Koreans and 60% of Korean Americans reported completion of CRC screening according to guidelines in 2009. Among South Koreans, married status, higher income, and private health insurance were associated with CRC screening, adjusting for other factors. Among Korean Americans, having health insurance was associated with CRC screening. Despite almost identical CRC screening guidelines in South Korea and the USA and substantially higher screening rates among Korean Americans as compared to South Koreans, disparities remain in both populations with respect to CRC statistics. Thus, efforts to promote primary and secondary prevention of CRC in both Korean populations are critically important in both countries.

Impact of fecal immunochemical test-based screening programs on proximal and distal colorectal cancer surgery rates: A natural multiple-baseline experiment.

PubMed

Fedeli, Ugo; Zorzi, Manuel; Urso, Emanuele D L; Gennaro, Nicola; Dei Tos, Angelo P; Saugo, Mario

2015-11-15

Colorectal cancer (CRC) screening programs based on the fecal immunochemical test (FIT) were found to reduce overall CRC surgery rates, but to the authors' knowledge data by subsite are lacking. The objective of the current study was to assess the impact of FIT-based screening on proximal and distal CRC surgical resection rates. The Veneto region in Italy can be subdivided into 3 areas with staggered introduction of FIT-based screening programs: early (2002-2004), intermediate (2005-2007), and late (2008-2009) areas. Time series of proximal and distal CRC surgery were investigated in the 3 populations between 2001 and 2012 by Joinpoint regression analysis and segmented Poisson regression models. The impact of screening was similar in the study populations. Rates of distal CRC surgical resection were stable before screening, increased at the time of screening implementation (rate ratio [RR], 1.25; 95% confidence interval [95% CI], 1.14-1.37), and thereafter declined by 10% annually (RR, 0.90; 95% CI, 0.88-0.92). Rates of proximal CRC surgical resection increased by 4% annually before screening (RR, 1.04; 95% CI, 1.03-1.05) but, after a peak at the time of screening initiation, the trend was reversed. The percentage represented by proximal CRC surgery rose from 28% in 2001 to 41% in 2012. In this natural multiple-baseline experiment, consistent findings across each time series demonstrated that FIT-based screening programs have an impact both on proximal and distal CRC surgery rates. However, underlying preexisting epidemiological trends are leading to a rapidly increasing percentage of proximal CRC. © 2015 American Cancer Society.

Malaria in the Americas: trends from 1959 to 2011.

PubMed

Carter, Keith H; Singh, Prabhjot; Mujica, Oscar J; Escalada, Rainier P; Ade, Maria Paz; Castellanos, Luis Gerardo; Espinal, Marcos A

2015-02-01

Malaria has declined in recent years in countries of the American continents. In 2011, 12 of 21 endemic countries had already met their 2015 Millennium Development Goal. However, this declining trend has not been adequately evaluated. An analysis of the number of cases per 100,000 people (annual parasite index [API]) and the percentage of positive blood slides (slide positivity rate [SPR]) during the period of 1959-2011 in 21 endemic countries was done using the joinpoint regression methodology. During 1960-1979, API and SPR increased significantly and peaked in the 1980s. Since the 1990s, there have been significant declining trends in both API and SPR. Additionally, both Plasmodium vivax and P. falciparum species-specific incidence have declined. With the exception of two countries, such a collectively declining malaria trend was not observed in previous decades. This presents a unique opportunity for the Americas to seriously consider malaria elimination as a final goal. © The American Society of Tropical Medicine and Hygiene.

Malaria in the Americas: Trends from 1959 to 2011

PubMed Central

Carter, Keith H.; Singh, Prabhjot; Mujica, Oscar J.; Escalada, Rainier P.; Ade, Maria Paz; Castellanos, Luis Gerardo; Espinal, Marcos A.

2015-01-01

Malaria has declined in recent years in countries of the American continents. In 2011, 12 of 21 endemic countries had already met their 2015 Millennium Development Goal. However, this declining trend has not been adequately evaluated. An analysis of the number of cases per 100,000 people (annual parasite index [API]) and the percentage of positive blood slides (slide positivity rate [SPR]) during the period of 1959–2011 in 21 endemic countries was done using the joinpoint regression methodology. During 1960–1979, API and SPR increased significantly and peaked in the 1980s. Since the 1990s, there have been significant declining trends in both API and SPR. Additionally, both Plasmodium vivax and P. falciparum species-specific incidence have declined. With the exception of two countries, such a collectively declining malaria trend was not observed in previous decades. This presents a unique opportunity for the Americas to seriously consider malaria elimination as a final goal. PMID:25548378

Nonlinear analysis of pupillary dynamics.

PubMed

Onorati, Francesco; Mainardi, Luca Tommaso; Sirca, Fabiola; Russo, Vincenzo; Barbieri, Riccardo

2016-02-01

Pupil size reflects autonomic response to different environmental and behavioral stimuli, and its dynamics have been linked to other autonomic correlates such as cardiac and respiratory rhythms. The aim of this study is to assess the nonlinear characteristics of pupil size of 25 normal subjects who participated in a psychophysiological experimental protocol with four experimental conditions, namely “baseline”, “anger”, “joy”, and “sadness”. Nonlinear measures, such as sample entropy, correlation dimension, and largest Lyapunov exponent, were computed on reconstructed signals of spontaneous fluctuations of pupil dilation. Nonparametric statistical tests were performed on surrogate data to verify that the nonlinear measures are an intrinsic characteristic of the signals. We then developed and applied a piecewise linear regression model to detrended fluctuation analysis (DFA). Two joinpoints and three scaling intervals were identified: slope α0, at slow time scales, represents a persistent nonstationary long-range correlation, whereas α1 and α2, at middle and fast time scales, respectively, represent long-range power-law correlations, similarly to DFA applied to heart rate variability signals. Of the computed complexity measures, α0 showed statistically significant differences among experimental conditions (p<0.001). Our results suggest that (a) pupil size at constant light condition is characterized by nonlinear dynamics, (b) three well-defined and distinct long-memory processes exist at different time scales, and (c) autonomic stimulation is partially reflected in nonlinear dynamics. (c) autonomic stimulation is partially reflected in nonlinear dynamics.

Burden of cancer mortality and differences attributable to demographic aging and risk factors in Argentina, 1986-2011.

PubMed

Pou, Sonia Alejandra; Tumas, Natalia; Coquet, Julia Becaria; Niclis, Camila; Román, María Dolores; Díaz, María Del Pilar

2017-03-09

The world faces an aging population that implies a large number of people affected with chronic diseases. Argentina has reached an advanced stage of demographic transition and presents a comparatively high rate of cancer mortality within Latin America. The objectives of this study were to examine cancer mortality trends in the province of Córdoba, Argentina, between 1986 and 2011, and to analyze the differences attributable to risk variations and demographic changes. Longitudinal series of age-standardized mortality rates for overall, breast and prostate cancers were modeled by Joinpoint regression to estimate the annual percent change. The Bashir & Estève method was used to split crude mortality rate variation into three components: mortality risk, population age structure and population size. A decreasing cancer age-standardized mortality rates trend was observed (1986-2011 annual percent change: -1.4, 95%CI: -1.6, -1.2 in men; -0.8, 95%CI: -1.0, -0.6 in women), with a significant shift in 1996. There were positive crude mortality rate net changes for overall female cancer, breast and prostate cancers, which were primarily attributable to demographic changes. Inversely, overall male cancer crude mortality rate showed a 9.15% decrease, mostly due to mortality risk. Despite favorable age-standardized mortality rates trends, the influence of population aging reinforces the challenge to control cancer in populations with an increasingly aged demographic structure.

Cystic fibrosis mortality trends in Spain among infants and young children: 1981-2004.

PubMed

Ramalle-Gomara, Enrique; Perucha, Milagros; González, María-Angeles; Quiñones, Carmen; Andrés, Jesús; Posada, Manuel

2008-01-01

This paper sought to analyse mortality trends among infants and young children who died with a diagnosis of cystic fibrosis (CF) in Spain, during the period 1981-2004. Descriptive observational study, using joinpoint regression models. Data on cystic fibrosis deaths were drawn from the National Statistics Institute (Instituto Nacional de Estadística), which collects data from all death certificates in Spain. During the period 1981-2004, overall CF mortality in Spain decreased by an annual average of 4% in both sexes. A breakdown by age showed that patients under 15 years registered a declining and those over 15 years a rising mortality rate over the study period. Mean and median age at death from CF increased with time, from a median of 4.4 years (males) and 3.8 years (females) in 1981 to 20.1 years (males) and 17.7 years (females) in 2004. The results of this study show that, as in other Western countries, CF is no longer a major cause of death in childhood, and that the challenge now lies in caring for adults who suffer from this disease. The fact that our study was descriptive meant that the reasons for the decrease in CF mortality in Spain could not be identified. Other authors have shown that this decrease is associated with improved treatment for pulmonary complications, better nutritional control and lung transplants.

Early estimates of SEER cancer incidence, 2014.

PubMed

Lewis, Denise Riedel; Chen, Huann-Sheng; Cockburn, Myles G; Wu, Xiao-Cheng; Stroup, Antoinette M; Midthune, Douglas N; Zou, Zhaohui; Krapcho, Martin F; Miller, Daniel G; Feuer, Eric J

2017-07-01

Cancer incidence rates and trends for cases diagnosed through 2014 using data reported to the Surveillance, Epidemiology, and End Results (SEER) program in February 2016 and a validation of rates and trends for cases diagnosed through 2013 and submitted in February 2015 using the November 2015 submission are reported. New cancer sites include the pancreas, kidney and renal pelvis, corpus and uterus, and childhood cancer sites for ages birth to 19 years inclusive. A new reporting delay model is presented for these estimates for more consistent results with the model used for the usual November SEER submissions, adjusting for the large case undercount in the February submission. Joinpoint regression methodology was used to assess trends. Delay-adjusted rates and trends were checked for validity between the February 2016 and November 2016 submissions. Validation revealed that the delay model provides similar estimates of eventual counts using either February or November submission data. Trends declined through 2014 for prostate and colon and rectum cancer for males and females, male and female lung cancer, and cervical cancer. Thyroid cancer and liver and intrahepatic bile duct cancer increased. Pancreas (male and female) and corpus and uterus cancer demonstrated a modest increase. Slight increases occurred for male kidney and renal pelvis, and for all childhood cancer sites for ages birth to 19 years. Evaluating early cancer data submissions, adjusted for reporting delay, produces timely and valid incidence rates and trends. The results of the current study support using delay-adjusted February submission data for valid incidence rate and trend estimates over several data cycles. Cancer 2017;123:2524-34. © 2017 American Cancer Society. © 2017 American Cancer Society. This article has been contributed to by US Government employees and their work is in the public domain in the USA.

Bladder cancer mortality trends and patterns in Córdoba, Argentina (1986-2006).

PubMed

Pou, Sonia Alejandra; Osella, Alberto Ruben; Diaz, Maria Del Pilar

2011-03-01

Bladder cancer is common worldwide and the fourth most commonly diagnosed malignancy in men in Argentina. To describe bladder cancer mortality trends in Córdoba (1986-2006), considering the effect of age, period, and cohort, and to estimate the effect of arsenic exposure on bladder cancer, and its interaction with sex, while controlling by smoking habits and space and time variation of the rates. A joinpoint regression was performed to compute the estimated annual percentage changes (EAPC) of the age-standardized mortality rates (ASMR) in an adult population from Córdoba, Argentina. A Poisson model was fitted to estimate the effect of age, period, and cohort. The influence of gender, tobacco smoking (using lung cancer ASMR as surrogate), and arsenic in drinking water was examined using a hierarchical model. A favorable trend (1986-2006) in bladder cancer ASMR in both sexes was found: EAPC of -2.54 in men and -1.69 in women. There was a decreasing trend in relative risk (RR) for cohorts born in 1931 or after. The multilevel model showed an increasing risk for each increase in lung cancer ASMR unit (RR = 1.001) and a biological interaction between sex and arsenic exposure. RR was higher among men exposed to increasing As-exposure categories (RR male low exposure 3.14, RR male intermediate exposure 4.03, RR male high exposure 4.71 versus female low exposure). A non-random space-time distribution of the rates was observed. There has been a decreasing trend in ASMR for bladder cancer in Córdoba. This study confirms that bladder cancer is associated with age, gender, smoking habit, and exposure to arsenic. Moreover, an effect measure modification between exposure to arsenic and sex was found.

Incidence and mortality of lung cancer: global trends and association with socioeconomic status.

PubMed

Wong, Martin C S; Lao, Xiang Qian; Ho, Kin-Fai; Goggins, William B; Tse, Shelly L A

2017-10-30

We examined the correlation between lung cancer incidence/mortality and country-specific socioeconomic development, and evaluated its most recent global trends. We retrieved its age-standardized incidence rates from the GLOBOCAN database, and temporal patterns were assessed from global databases. We employed simple linear regression analysis to evaluate their correlations with Human Development Index (HDI) and Gross Domestic Product (GDP) per capita. The average annual percent changes (AAPC) of the trends were evaluated from join-point regression analysis. Country-specific HDI was strongly correlated with age-standardized incidence (r = 0.70) and mortality (r = 0.67), and to a lesser extent GDP (r = 0.24 to 0.55). Among men, 22 and 30 (out of 38 and 36) countries showed declining incidence and mortality trends, respectively; whilst among women, 19 and 16 countries showed increasing incidence and mortality trends, respectively. Among men, the AAPCs ranged from -2.8 to -0.6 (incidence) and -3.6 to -1.1 (mortality) in countries with declining trend, whereas among women the AAPC range was 0.4 to 8.9 (incidence) and 1 to 4.4 (mortality) in countries with increasing trend. Among women, Brazil, Spain and Cyprus had the greatest incidence increase, and all countries in Western, Southern and Eastern Europe reported increasing mortality. These findings highlighted the need for targeted preventive measures.

Trends in Hospital Admission for Diabetic Ketoacidosis in Adults With Type 1 and Type 2 Diabetes in England, 1998-2013: A Retrospective Cohort Study.

PubMed

Zhong, Victor W; Juhaeri, Juhaeri; Mayer-Davis, Elizabeth J

2018-01-31

This study determined trends in hospital admission for diabetic ketoacidosis (DKA) in adults with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) from 1998 to 2013 in England. The study population included 23,246 adults with T1DM and 241,441 adults with T2DM from the Clinical Practice Research Datalink and Hospital Episode Statistics. All hospital admissions for DKA as the primary diagnosis from 1998 to 2013 were identified. Trends in hospital admission for DKA in incidence, length of hospital stay, 30-day all-cause readmission rate, and 30-day and 1-year all-cause mortality rates were determined using joinpoint regression, negative binomial regression, and logistic regression models. For T1DM, the incidence of hospital admission for DKA increased between 1998 and 2007 and remained static until 2013. The incidence in 2013 was higher than that in 1998 (incidence rate ratio 1.53 [95% CI 1.09-2.16]). For T2DM, the incidence increased 4.24% (2.82-5.69) annually between 1998 and 2013. The length of hospital stay decreased over time for both diabetes types ( P ≤ 0.0004). Adults with T1DM were more likely to be discharged within 2 days compared with adults with T2DM (odds ratio [OR] 1.28 [1.07-1.53]). The 30-day readmission rate was higher in T1DM than in T2DM (OR 1.61 [1.04-2.50]) but remained unchanged for both diabetes types over time. Trends in 30-day and 1-year all-cause mortality rates were also stable, with no difference by diabetes type. In the previous 2 decades in England, hospitalization for DKA increased in adults with T1DM and in those with T2DM, and associated health care performance did not improve except decreased length of hospital stay. © 2018 by the American Diabetes Association.

Age- and Sex-Specific Trends in Lung Cancer Mortality over 62 Years in a Nation with a Low Effort in Cancer Prevention

PubMed Central

John, Ulrich; Hanke, Monika

2016-01-01

Background: A decrease in lung cancer mortality among females below 50 years of age has been reported for countries with significant tobacco control efforts. The aim of this study was to describe the lung cancer deaths, including the mortality rates and proportions among total deaths, for females and males by age at death in a country with a high smoking prevalence (Germany) over a time period of 62 years. Methods: The vital statistics data were analyzed using a joinpoint regression analysis stratified by age and sex. An age-period-cohort analysis was used to estimate the potential effects of sex and school education on mortality. Results: After an increase, lung cancer mortality among women aged 35–44 years remained stable from 1989 to 2009 and decreased by 10.8% per year from 2009 to 2013. Conclusions: Lung cancer mortality among females aged 35–44 years has decreased. The potential reasons include an increase in the number of never smokers, following significant increases in school education since 1950, particularly among females. PMID:27023582

Trends in fall-related injuries among older adults treated in emergency departments in the USA.

PubMed

Orces, Carlos H; Alamgir, Hasanat

2014-12-01

To examine national trends in fall-related injuries among older adults treated in emergency departments (ED) and project these injuries until the year 2030. The Web-based Injury Statistics Query and Reporting System was used to generate data on fall-related injuries treated in ED. Joinpoint regression analysis was used to examine the average annual change in injury rates over time. Fall-related injury and hospitalisation rates increased on average by 2% (95% CI 1.5% to 2.7%) and by 4% (95% CI 2.9% to 5.0%) per year, respectively. Assuming the increase in fall-related injury rates remains unchanged, the number of fall-related injuries may increase to 5.7 million by the year 2030. Fall-related injuries among older adults treated in ED increased in the USA during the study period. Moreover, a marked increase in the number of these injuries may occur over the next decades. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Population-wide folic acid fortification and preterm birth: testing the folate depletion hypothesis.

PubMed

Naimi, Ashley I; Auger, Nathalie

2015-04-01

We assess whether population-wide folic acid fortification policies were followed by a reduction of preterm and early-term birth rates in Québec among women with short and optimal interpregnancy intervals. We extracted birth certificate data for 1.3 million births between 1981 and 2010 to compute age-adjusted preterm and early-term birth rates stratified by short and optimal interpregnancy intervals. We used Joinpoint regression to detect changes in the preterm and early term birth rates and assess whether these changes coincide with the implementation of population-wide folic acid fortification. A change in the preterm birth rate occurred in 2000 among women with short (95% confidence interval [CI] = 1994, 2005) and optimal (95% CI = 1995, 2008) interpregnancy intervals. Changes in early term birth rates did not coincide with the implementation of folic acid fortification. Our results do not indicate a link between folic acid fortification and early term birth but suggest an improvement in preterm birth rates after implementation of a nationwide folic acid fortification program.

Sex Differences in Diabetes Mellitus Mortality Trends in Brazil, 1980-2012.

PubMed

Malhão, Thainá Alves; Brito, Alexandre Dos Santos; Pinheiro, Rejane Sobrino; Cabral, Cristiane da Silva; Camargo, Thais Medina Coeli Rochel de; Coeli, Claudia Medina

2016-01-01

To investigate the hypothesis that the change from the female predominance of diabetes mellitus to a standard of equality or even male preponderance can already be observed in Brazilian mortality statistics. Data on deaths for which diabetes mellitus was listed as the underlying cause were obtained from the Brazilian Mortality Information System for the years 1980 to 2012. The mortality data were also analyzed according to the multiple causes of death approach from 2001 to 2012. The population data came from the Brazilian Institute of Geography and Statistics. The mortality rates were standardized to the world population. We used a log-linear joinpoint regression to evaluate trends in age-standardized mortality rates (ASMR). From 1980 to 2012, we found a marked increment in the diabetes ASMR among Brazilian men and a less sharp increase in the rate among women, with the latter period (2003-2012) showing a slight decrease among women, though it was not statistically significant. The results of this study suggest that diabetes mellitus in Brazil has changed from a pattern of higher mortality among women compared to men to equality or even male predominance.

The present and the future of breast cancer burden in the Kingdom of Saudi Arabia.

PubMed

Ibrahim, Ezzeldin M; Zeeneldin, Ahmed A; Sadiq, Bakr Bin; Ezzat, Adnan A

2008-01-01

Despite the low cancer incidence in the Kingdom of Saudi Arabia (KSA), the country must be ready to face the challenge of foreseeable increase in cancer burden attributed to growth and aging of population. This work was designed to study female breast cancer as a model to assess future cancer burden and the impact on healthcare resources. Cancer statistics for the KSA were compared with that for the USA. The Joinpoint regression program was used to identify changes in secular trends, while the GLOBOCAN 2002 software projected future incidence and mortality. In the KSA, the age-standardized cancer rate (ASR) is 61 per 100,000 population, while the median age at diagnosis is 54 and 49 years for men and women, respectively. Fitting the ASR for breast cancer did not show any significant trend over a 10-year calendar period (16.2-18.2 per 100,000), a pattern that was similar to that for the USA in the prescreening mammography era. Considering the growth and aging of population and using conservative estimates for the annual percent change in incidence (increase) and mortality (decrease) by 2025, incidence and mortality cases are expected to increase by about 350% and 160%, respectively. In developing countries, future cancer rates could demonstrate a considerable increase and enormous demands on healthcare resources. The present work may provide an impetus to study other prevalent cancer types particularly in developing countries.

[Mortality from Suicide in the Municipalities of Mainland Portugal: Spatio-Temporal Evolution between 1980 and 2015].

PubMed

Loureiro, Adriana; Almendra, Ricardo; Costa, Cláudia; Santana, Paula

2018-01-31

Suicide is considered a public health priority. It is a complex phenomenon resulting from the interaction of several factors, which do not depend solely on individual conditions. This study analyzes the spatio-temporal evolution of suicide mortality between 1980 and 2015, identifying areas of high risk, and their variation, in the 278 municipalities of Continental Portugal. Based on the number of self-inflicted injuries and deaths from suicide and the resident population, the spatio-temporal evolution of the suicide mortality rate was assessed via: i) a Poisson joinpoint regression model, and ii) spatio-temporal clustering methods. The suicide mortality rate evolution showed statistically significant increases over three periods (1980 - 1984; 1999 - 2002 and 2006 - 2015) and two statistically significant periods of decrease (1984 - 1995 and 1995 - 1999). The spatio-temporal analysis identified five clusters of high suicide risk (relative risk >1) and four clusters of low suicide risk (relative risk < 1). The periods when suicide mortality increases seem to overlap with times of economic and financial instability. The geographical pattern of suicide risk has changed: presently, the suicide rates from the municipalities in the Center and North are showing more similarity with those seen in the South, thus increasing the ruralization of the phenomenon of suicide. Between 1980 and 2015 the spacio-temporal pattern of mortality from suicide has been changing and is a phenomenon that is currently experiencing a growing trend (since 2006) and is of higher risk in rural areas.

Sickness absence among young employees: trends from 2002 to 2013.

PubMed

Sumanen, Hilla; Pietiläinen, Olli; Lahti, Jouni; Lahelma, Eero; Rahkonen, Ossi

2015-01-01

Young adults entering employment are a key group in extending work careers, but there is a lack of research on trends in work ability among young employees. Prolonged sickness absence (SA) constitutes a risk for permanent work disability. We examined 12-year trends in SA spells among young female and male municipal employees. The data were obtained from the employers' registers in the City of Helsinki, Finland. The data included employees aged 18-24, 25-29, 30-34, and 35-54 from 2002 to 2013 (the average number for each year was 31,600). Self-certified (1-3 days) and medically certified intermediate (4-14 days) and long (15+ days) SAs were examined. Joinpoint regression models were used to identify major changes in SA trends. Younger employees had more short SAs but fewer long SAs than older employees. During the study period, SAs of almost any length first increased and later decreased among both genders, except for young men. The turning points for short SA were in 2007-2011 among younger and older employees. In intermediate and long SAs the respective turning points were in 2008-2009 and 2005-2009. Women had more SAs in all categories. Age is related to the length of absences. Given the relatively low chronic morbidity among younger employees, it is likely that reasons other than ill health account for increased SA. More evidence on factors behind the changing trends is needed in order to reduce SA and extend the working careers of young people.

The clinical and economic burden of a sustained increase in thyroid cancer incidence.

PubMed

Aschebrook-Kilfoy, Briseis; Schechter, Rebecca B; Shih, Ya-Chen Tina; Kaplan, Edwin L; Chiu, Brian C-H; Angelos, Peter; Grogan, Raymon H

2013-07-01

Thyroid cancer incidence is increasing worldwide at an alarming rate, yet little is known of the impact this increase will have on society. We sought to determine the clinical and economic burden of a sustained increase in thyroid cancer incidence in the United States and to understand how these burdens correlate with the National Cancer Institute's (NCI) prioritization of thyroid cancer research funding. We used the NCI's SEER 13 database (1992-2009) and Joinpoint regression software to identify the current clinical burden of thyroid cancer and to project future incidence through 2019. We combined Medicare reimbursement rates with American Thyroid Association guidelines, and our clinical practice to create an economic model of thyroid cancer. We obtained research-funding data from the NCI's Office of Budget and Finance. RESULTS; By 2019, papillary thyroid cancer will double in incidence and become the third most common cancer in women of all ages at a cost of $18 to $21 billion dollars in the United States. Despite these substantial clinical and economic burdens, thyroid cancer research remains significantly underfunded by comparison, and in 2009 received only $14.7 million (ranked 30th) from the NCI. The impact of thyroid cancer on society has been significantly underappreciated, as is evidenced by its low priority in national research funding levels. Increased awareness in the medical community and the general public of the societal burden of thyroid cancer, and substantial increases in research on thyroid cancer etiology, prevention, and treatment are needed to offset these growing concerns.

Leprosy and gender in Brazil: trends in an endemic area of the Northeast region, 2001-2014.

PubMed

Souza, Eliana Amorim de; Ferreira, Anderson Fuentes; Boigny, Reagan Nzundu; Alencar, Carlos Henrique; Heukelbach, Jorg; Martins-Melo, Francisco Rogerlândio; Barbosa, Jaqueline Caracas; Ramos, Alberto Novaes

2018-01-01

OBJECTIVE To analyze, stratifield by gender, trends of the new case leprosy detection rates in the general population and in children; of grade 2 disability, and of proportion of multibacillary cases, in the state of Bahia, Brazil from 2001 to 2014. METHODS A time series study based on leprosy data from the National Information System for Notifiable Diseases. The time trend analysis included Poisson regression models by infection points (Joinpoint) stratified by gender. RESULTS There was a total of 40,054 new leprosy cases with a downward trend of the overall detection rate (Average Annual Percent Change [AAPC = -0.4, 95%CI -2.8-1.9] and a non-significant increase in children under 15 years (AAPC = 0.2, 95%CI -3.9-4.5). The proportion of grade 2 disability among new cases increased significantly (AAPC = 4.0, 95%CI 1.3-6.8), as well as the proportion of multibacillary cases (AAPC = 2.2, 95%CI 0.1-4.3). Stratification by gender showed a downward trend of detection rates in females and no significant change in males; in females, there was a more pronounced upward trend of the proportion of multibacillary and grade 2 disability cases. CONCLUSIONS Leprosy is still highly endemic in the state of Bahia, with active transmission, late diagnosis, and a probable hidden endemic. There are different gender patterns, indicating the importance of early diagnosis and prompt treatment, specifically in males without neglecting the situation among females.

Incidence of Sudden Cardiac Death in a Young Active Population

PubMed Central

Farioli, Andrea; Christophi, Costas A; Quarta, Candida Cristina; Kales, Stefanos N

2015-01-01

Background Little is known about the burden of sudden cardiac death (SCD) among active, presumably healthy persons. We investigated the incidence of SCD among US male career firefighters. Methods and Results All on-duty SCDs among US male career firefighters between 1998 and 2012 were identified from the US Fire Administration and the US National Institute for Occupational Safety and Health databases. Age-specific incidence rates (IRs) of SCD with 95% CIs were computed. A joinpoint model was fitted to analyze the trend in IR and to help estimate the annual percentage change of SCD rates over the years. The effects of seasonality were assessed through a Poisson regression model. We identified 182 SCDs; based on 99 available autopsy reports, the leading underlying cause of death was coronary heart disease (79%). The overall IR was 18.1 SCDs per 100 000 person-years. The age-specific IRs of SCD ranged between 3.8 (for those aged 18 to 24 years) and 45.2 (for those aged 55 to 64 years) per 100 000 person-years. The annual rate of SCD steadily declined over time (annual percentage change −3.9%, 95% CI −5.8 to −2.0). SCD events were more frequent during January (peak-to-low ratio 1.70; 95% CI 1.09 to 2.65). In addition, the IR was 3 times higher during high-risk duties compared with low-risk duties. IRs among firefighters were lower than those observed among the US general population and US military personnel. Conclusions SCD risk in this active working population is overestimated using statistics from the general population. To address public health questions among these subpopulations, more specific studies of active adults should be conducted. PMID:26066031

Temporal Trends and Future Prediction of Breast Cancer Incidence Across Age Groups in Trivandrum, South India.

PubMed

Mathew, Aleyamma; George, Preethi Sara; Arjunan, Asha; Augustine, Paul; Kalavathy, Mc; Padmakumari, G; Mathew, Beela Sarah

2016-01-01

Increasing breast cancer (BC) incidence rates have been reported from India; causal factors for this increased incidence are not understood and diagnosis is mostly in advanced stages. Trivandrum exhibits the highest BC incidence rates in India. This study aimed to estimate trends in incidence by age from 2005- 2014, to predict rates through 2020 and to assess the stage at diagnosis of BC in Trivandrum. BC cases were obtained from the Population Based Cancer Registry, Trivandrum. Distribution of stage at diagnosis and incidence rates of BC [Age-specific (ASpR), crude (CR) and age-standardized (ASR)] are described and employed with a joinpoint regression model to estimate average annual percent changes (AAPC) and a Bayesian model to estimate predictive rates. BC accounts for 31% (2681/8737) of all female cancers in Trivandrum. Thirty-five percent (944/2681) are <50 years of age and only 9% present with stage I disease. Average age increased from 53 to 56.4 years (p=0.0001), CR (per 105 women) increased from 39 (ASR: 35.2) to 55.4 (ASR: 43.4), AAPC for CR was 5.0 (p=0.001) and ASR was 3.1 (p=0.001). Rates increased from 50 years. Predicted ASpR is 174 in 50-59 years, 231 in > 60 years and overall CR is 80 (ASR: 57) for 2019- 20. BC, mostly diagnosed in advanced stages, is rising rapidly in South India with large increases likely in the future; particularly among post-menopausal women. This increase might be due to aging and/or changes in lifestyle factors. Reasons for the increased incidence and late stage diagnosis need to be studied.

European cancer mortality predictions for the year 2014.

PubMed

Malvezzi, M; Bertuccio, P; Levi, F; La Vecchia, C; Negri, E

2014-08-01

From most recent available data, we projected cancer mortality statistics for 2014, for the European Union (EU) and its six more populous countries. Specific attention was given to pancreatic cancer, the only major neoplasm showing unfavorable trends in both sexes. Population and death certification data from stomach, colorectum, pancreas, lung, breast, uterus, prostate, leukemias and total cancers were obtained from the World Health Organisation database and Eurostat. Figures were derived for the EU, France, Germany, Italy, Poland, Spain and the UK. Projected 2014 numbers of deaths by age group were obtained by linear regression on estimated numbers of deaths over the most recent time period identified by a joinpoint regression model. In the EU in 2014, 1,323,600 deaths from cancer are predicted (742,500 men and 581,100 women), corresponding to standardized death rates of 138.1/100,000 men and 84.7/100,000 women, falling by 7% and 5%, respectively, since 2009. In men, predicted rates for the three major cancers (lung, colorectum and prostate cancer) are lower than in 2009, falling by 8%, 4% and 10%, respectively. In women, breast and colorectal cancers had favorable trends (-9% and -7%), but female lung cancer rates are predicted to rise 8%. Pancreatic cancer is the only neoplasm with a negative outlook in both sexes. Only in the young (25-49 years), EU trends become more favorable in men, while women keep registering slight predicted rises. Cancer mortality predictions for 2014 confirm the overall favorable cancer mortality trend in the EU, translating to an overall 26% fall in men since its peak in 1988, and 20% in women, and the avoidance of over 250,000 deaths in 2014 compared with the peak rate. Notable exceptions are female lung cancer and pancreatic cancer in both sexes. © The Author 2014. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Socioeconomic Factors Associated with Post-Mastectomy Immediate Reconstruction in a Contemporary Cohort of Breast Cancer Survivors.

PubMed

Schumacher, Jessica R; Taylor, Lauren J; Tucholka, Jennifer L; Poore, Samuel; Eggen, Amanda; Steiman, Jennifer; Wilke, Lee G; Greenberg, Caprice C; Neuman, Heather B

2017-10-01

Post-mastectomy reconstruction is a critical component of high-quality breast cancer care. Prior studies demonstrate socioeconomic disparity in receipt of reconstruction. Our objective was to evaluate trends in receipt of immediate reconstruction and examine socioeconomic factors associated with reconstruction in a contemporary cohort. Using the National Cancer Database, we identified women <75 years of age with stage 0-1 breast cancer treated with mastectomy (n = 297,121). Trends in immediate reconstruction rates (2004-2013) for the overall cohort and stratified by socioeconomic factors were examined using Join-point regression analysis, and annual percentage change (APC) was calculated. We then restricted our sample to a contemporary cohort (2010-2013, n = 145,577). Multivariable logistic regression identified socioeconomic factors associated with immediate reconstruction. Average adjusted predicted probabilities of receiving reconstruction were calculated. Immediate reconstruction rates increased from 27 to 48%. Although absolute rates of reconstruction for each stratification group increased, similar APCs across strata led to persistent gaps in receipt of reconstruction. On multivariable logistic regression using our contemporary cohort, race, income, education, and insurance type were all strongly associated with immediate reconstruction. Patients with the lowest predicted probability of receiving reconstruction were patients with Medicaid who lived in areas with the lowest rates of high-school graduation (Black 42.4% [95% CI 40.5-44.3], White 45.7% [95% CI 43.9-47.4]). Although reconstruction rates have increased dramatically over the past decade, lower rates persist for disadvantaged patients. Understanding how socioeconomic factors influence receipt of reconstruction, and identifying modifiable factors, are critical next steps towards identifying interventions to reduce disparities in breast cancer surgical care.

An exploratory analysis of changes in mood, anxiety and craving from pre- to post-single sessions of exercise, over 12 weeks, among patients with alcohol dependence.

PubMed

Brown, Richard A; Prince, Mark A; Minami, Haruka; Abrantes, Ana M

2016-10-01

Aerobic exercise is currently being studied as a relapse prevention strategy for individuals with alcohol use disorders. Negative affect and cravings predict relapse. The acute effects of moderate-intensity exercise have been shown to improve mood and reduce craving. The current study examined the acute effects of exercise on changes in mood, anxiety, and craving from pre- to post-exercise at each week of a 12-week moderate intensity exercise intervention with sedentary alcohol dependent adults. Twenty-six participants in the exercise condition of a larger randomized clinical trial (Brown et al., 2014) exercised in small groups at moderate intensity for 20 to 40 minutes per session. Participants rated mood, anxiety, and cravings in the present moment before and after each exercise session over the course of the 12-week intervention. Data analyses focused on effect size and interval estimation. Joinpoint analysis was used to model longitudinal trends. Increases in mood and decreases in anxiety and craving were apparent at every session. Effect size estimates revealed that average change from pre- to post-exercise was in the small to medium range with some individual sessions reaching the large range. Joinpoint analyses revealed that the pre-post exercise changes in mood increased, anxiety remained stable, and craving diminished across the 12 weeks. This study provides provisional support for a change in mood, anxiety and alcohol cravings for the role of exercise in the early recovery period for alcohol dependence. Acute single bouts of moderate-intensity exercise may help individuals with alcohol dependence manage mood, anxiety, and craving thereby reducing relapse risk, but further research is needed with a more rigorous study design.

A Population-based Study of Invasive Cervical Cancer Patients in Beijing: 1993-2008.

PubMed

Wang, Tong; Wu, Ming-Hui; Wu, Yu-Mei; Zhang, Wei-Yuan

2015-12-20

In recent years, the incidence of cervical cancer has been rising, particularly in young adults, as the second most common gynecological cancer in China. The aim of this study was to explore the incidence change and the epidemiological characteristics of cervical cancer in Beijing over the past 16 years. All the cases of the study were limited to Beijing residents diagnosed with cervical cancer and registered in Beijing from January 1, 1993, to December 31, 2008. A total of 4100 patients with cervical cancer were obtained from the Statistics Database of Beijing Cancer Registry (BJCaR). According to the registered data, we retrospectively reviewed all original cases which we can acquired in reported hospital. Cervical situ cancer, cervical metastatic cancer, non-Beijing residents and repeatedly registered cases were excluded. Totally, 3641 registered cases were verified correctly. Meanwhile, we also collected the following data: Age, occupation, detected methods, histological type, and staging. The trends of incidence and mortality were analyzed by Joinpoint Regression Program 4.1.1.1 produced by National Cancer Institute (NCI, USA). The annual percent change (APC) was calculated using the Joinpoint regression model. The crude rates of incidence and mortality were 10.4 and 1.0 per 100,000 women, respectively during 1993 to 2008. The average WHO age-standardized incidence rates were 11.5 per 100,000 women. There was a decrease in incidence annually by 8.0% (P = 0.3) during 1993-1996 and a rapid increase annually by 18.9% after 1999 (P < 0.01). The median age was 67 years in 1993, but the median age decreased to 45 years in 2008. The peak of the age-specific incidence curve was at 40 years in the most recent period (2005-2008), which was 25-30 years earlier than that in previous periods (1993-1996). In the 2224 cases, the numbers of patients with stage I, II, III and IV were 910 (40.9%), 601 (27%), 542 (24.4%), 171 (7.7%), respectively. The percentage of patients with stage I was 7.6% (13/171) in 1993-1996, but the percentage increased to 51.6% (643/1247) in 2005-2008 (P < 0.01). Otherwise the percentage of advanced stage (stage III-IV) during the same period was dropped down significantly from 52.0% (89/171) to 22.5% (280/1247) (P < 0.01). Unemployed and housewife ranked first accounting for 27.3% of the total (607/2224). Urban low-income people such as worker ranked the second accounting for 17.0% (377/2224), the third place was farmer accounting for 14.0% (312/2224). Only 381 (17.1%, 381/2224) women in 2224 were first detected cervical cancer by routine screenings. Company staff (36.5%, 139/381), professional and technical personnel (22.6%, 86/381), national official (22.0%, 84/381) occupied the top three (total 81.1%) in the 381 patients detected cervical cancer by screening. The cervical cancer incidence has showed a continuous rise in Beijing since 1999. Government-led mass screening should target the low socioeconomic population primarily. Meanwhile the government should enhance public health education of cancer screening to increase the rate of screening.

Global patterns and trends in stomach cancer incidence: Age, period and birth cohort analysis.

PubMed

Luo, Ganfeng; Zhang, Yanting; Guo, Pi; Wang, Li; Huang, Yuanwei; Li, Ke

2017-10-01

The cases of stomach cancer (SC) incidence are increasing per year and the SC burden has remained very high in some countries. We aimed to evaluate the global geographical variation in SC incidence and temporal trends from 1978 to 2007, with an emphasis on the effect of birth cohort. Joinpoint regression and age-period-cohort model were applied. From 2003 to 2007, male rate were 1.5- to 3-fold higher than female in all countries. Rates were highest in Eastern Asian and South American countries. Except for Uganda, all countries showed favorable trends. Pronounced cohort-specific increases in risk for recent birth cohorts were seen in Brazil, Colombia, Iceland, New Zealand, Norway, Uganda and US white people for males and in Australia, Brazil, Colombia, Costa Rica, Czech Republic, Ecuador, Iceland, India, Malta, New Zealand, Norway, Switzerland, United Kingdom, Uganda, US black and white people for females. The cohort-specific ratio for male significantly decreased in Japan, Malta and Spain for cohorts born since 1950 and in Austria, China, Croatia, Ecuador, Russia, Switzerland and Thailand for cohorts born since 1960 and for female in Japan for cohorts born since 1950 and in Canada, China, Croatia, Latvia, Russia and Thailand for cohorts born since 1960. Disparities in incidence and carcinogenic risk persist worldwide. The favorable trends may be due to changes in environmental exposure and lifestyle, including decreased Helicobacter pylori prevalence, increased intake of fresh fruits and vegetables, the availability of refrigeration and decreased intake of salted and preserved food and smoking prevalence. © 2017 UICC.

Gastric bypass surgeries in New Hampshire, 1996-2007.

PubMed

Cherala, Sai S

2012-01-01

Obesity is a national epidemic. Gastric bypass surgery may be the only option that provides significant long-term weight loss for people who are morbidly obese (body mass index [BMI] ≥ 40 kg/m²) or for people who have a BMI of 35 or higher and have an obesity-related comorbidity. The objective of this study was to assess trends in gastric bypass surgery in New Hampshire. Data from 1996 to 2007 from the New Hampshire Inpatient Hospital Discharge data set were analyzed. Records for patients with a gastric bypass surgery code were identified, and data on patients and hospitalizations were collected. A joinpoint regression model was used to analyze trends in surgery rates. Differences between patients and payer types were analyzed by using the Cochran-Mantel-Haenszel χ² test. The annual rate of gastric bypass surgery increased significantly from 3.3 to 22.4 per 100,000 adults between 1996 and 2007. The in-hospital death rate decreased significantly from 11% in 1996 to 1% in 2007. A greater proportion of women (78.1% during the study period) than men had this surgery. The average charge of a surgery decreased significantly from $44,484 in 1996 to $43,907 in 2007; by 2007, total annual charges were $13.9 million. Since 1996, private or "other" payers have been charged for nearly 80% of the total discharges. The number of gastric bypass surgeries has increased in New Hampshire, and so have their cost. These increases may reflect a shortage in effective primary care and preventive measures to address the obesity epidemic.

Trends and predictions to 2020 in breast cancer mortality in Europe.

PubMed

Carioli, Greta; Malvezzi, Matteo; Rodriguez, Teresa; Bertuccio, Paola; Negri, Eva; La Vecchia, Carlo

2017-12-01

We analyzed trends in mortality from breast cancer in women in 36 European countries and the European Union (EU) over the period 1970-2014, and predicted numbers of deaths and rates to 2020. We derived breast cancer death certification data and population figures from the World Health Organization and Eurostat databases. We obtained 2020 estimates using a joinpoint regression model. Overall, EU breast cancer mortality rates (world standard) declined from 17.9/100,000 in 2002 to 15.2 in 2012. The predicted 2020 rate is 13.4/100,000. The falls were largest in young women (20-49 years, -22% between 2002 and 2012). Within the EU, declines were larger in the United Kingdom (UK) and other northern and western European countries than in most central and eastern Europe. The UK has the second lowest predicted breast cancer mortality rate in 2020 (after Spain), starting from the highest one in 1970. Breast cancer mortality is predicted to rise in Poland, where the predicted 2020 rate is 15.3/100,000. We estimated that about 32,500 breast cancer deaths will be avoided in 2020 in the EU as compared to the peak rate of 1989, and a total of 475,000 breast cancer deaths over the period 1990-2020. The overall favourable breast cancer mortality trends are mainly due to a succession of improvements in the management and treatment of breast cancer, though early diagnosis and screening played a role, too. Improving breast cancer management in central and eastern Europe is a priority. Copyright © 2017 Elsevier Ltd. All rights reserved.

Trends in cervical cancer incidence and mortality in Poland: is there an impact of the introduction of the organised screening?

PubMed

Nowakowski, Andrzej; Wojciechowska, Urszula; Wieszczy, Paulina; Cybulski, Marek; Kamiński, Michał F; Didkowska, Joanna

2017-06-01

Aside from existing opportunistic screening, an organised screening programme (OSP) for cervical cancer (CC) was implemented in 2006/2007 in Poland. We applied joinpoint regression and age-period-cohort model to look for the impact of the OSP on CC incidence/mortality trends. Decline of age-standardised incidence rates (ASIRs) in the screening-age group (25-59 years) accelerated from -2.2% (95% CI -2.7 to -1.7%) between 1993 and 2008 to -6.1% (95% CI -7.7 to -4.4%) annually after 2008. In women aged 60+ years, ASIRs declined from 1986 until 2005 [annual percent change (APC) = -2.6%, 95% CI -2.9 to -2.4%] and stabilised thereafter. Decline of age-standardised mortality rates (ASMRs) in the screening-age group accelerated from -1.3% (95% CI -1.5 to -1.1%) between 1980 and 2005 to -4.7% (95% CI -5.6 to -3.8%) annually after 2005. In women aged 60+ ASMR declined between 1991 and 2004 (APC = -2.9%, 95% CI -3.5 to -2.3%) and stabilised thereafter. Relative risks of CC diagnosis and death were 0.63 (95% CI 0.62-0.65) and 0.61 (95% CI 0.59-0.63), respectively, for the most recent period compared to the reference around 1982. Implementation of the OSP possibly accelerated downward trends in the burden of CC in Polish women under the age of 60, but recent stabilisation of trends in older women requires actions.

Innovations in medical care and mortality trends from four circulatory diseases between 1970 and 2005.

PubMed

Hoffmann, Rasmus; Plug, Iris; McKee, Martin; Khoshaba, Bernadette; Westerling, Ragnar; Looman, Caspar; Rey, Gregoire; Jougla, Eric; Luis Alfonso, Jose; Lang, Katrin; Pärna, Kersti; Mackenbach, Johan P

2013-10-01

Governments have identified innovation in pharmaceuticals and medical technology as a priority for health policy. Although the contribution of medical care to health has been studied extensively in clinical settings, much less is known about its contribution to population health. We examine how innovations in the management of four circulatory disorders have influenced trends in cause-specific mortality at the population level. Based on literature reviews, we selected six medical innovations with proven effectiveness against hypertension, ischaemic heart disease, heart failure and cerebrovascular disease. We combined data on the timing of these innovations and cause-specific mortality trends (1970-2005) from seven European countries. We sought to identify associations between the introduction of innovations and favourable changes in mortality, using Joinpoint-models based on linear spline regression. For both ischaemic heart disease and cerebrovascular disease, the timing of medical innovations was associated with improved mortality in four out of five countries and five out of seven countries, respectively, depending on the innovation. This suggests that innovation has impacted positively on mortality at the population level. For hypertension and heart failure, such associations could not be identified. Although improvements in cause-specific mortality coincide with the introduction of some innovations, this is not invariably true. This is likely to reflect the incremental effects of many interventions, the time taken for them to be adopted fully and the presence of contemporaneous changes in disease incidence. Research on the impact of medical innovations on population health is limited by unreliable data on their introduction.

Leprosy and gender in Brazil: trends in an endemic area of the Northeast region, 2001–2014

PubMed Central

de Souza, Eliana Amorim; Ferreira, Anderson Fuentes; Boigny, Reagan Nzundu; Alencar, Carlos Henrique; Heukelbach, Jorg; Martins-Melo, Francisco Rogerlândio; Barbosa, Jaqueline Caracas; Ramos, Alberto Novaes

2018-01-01

ABSTRACT OBJECTIVE To analyze, stratifield by gender, trends of the new case leprosy detection rates in the general population and in children; of grade 2 disability, and of proportion of multibacillary cases, in the state of Bahia, Brazil from 2001 to 2014. METHODS A time series study based on leprosy data from the National Information System for Notifiable Diseases. The time trend analysis included Poisson regression models by infection points (Joinpoint) stratified by gender. RESULTS There was a total of 40,054 new leprosy cases with a downward trend of the overall detection rate (Average Annual Percent Change [AAPC = -0.4, 95%CI -2.8–1.9] and a non-significant increase in children under 15 years (AAPC = 0.2, 95%CI -3.9–4.5). The proportion of grade 2 disability among new cases increased significantly (AAPC = 4.0, 95%CI 1.3–6.8), as well as the proportion of multibacillary cases (AAPC = 2.2, 95%CI 0.1–4.3). Stratification by gender showed a downward trend of detection rates in females and no significant change in males; in females, there was a more pronounced upward trend of the proportion of multibacillary and grade 2 disability cases. CONCLUSIONS Leprosy is still highly endemic in the state of Bahia, with active transmission, late diagnosis, and a probable hidden endemic. There are different gender patterns, indicating the importance of early diagnosis and prompt treatment, specifically in males without neglecting the situation among females. PMID:29489990

Recent Increases in Cocaine-Related Overdose Deaths and the Role of Opioids.

PubMed

McCall Jones, Christopher; Baldwin, Grant T; Compton, Wilson M

2017-03-01

To assess trends in cocaine overdose deaths and examine the role opioids play in these deaths. We used data on drug overdose deaths in the United States from 2000 to 2015 collected in the National Vital Statistics System to calculate annual rates and numbers of cocaine-related overdose deaths overall and deaths both involving and not involving opioids. We assessed statistically significant changes in trends with joinpoint regression. Rates of cocaine-related overdose deaths increased significantly from 1.26 to 2.50 per 100 000 population from 2000 to 2006, declined to 1.35 in 2010, and increased to 2.13 in 2015. Cocaine-related overdose deaths involving opioids increased from 0.37 to 0.91 from 2000 to 2006, declined to 0.57 in 2010, and then increased to 1.36 in 2015. Cocaine-related overdose deaths not involving opioids increased from 0.89 to 1.59 from 2000 to 2006 and then declined to 0.78 in 2015. Opioids, primarily heroin and synthetic opioids, have been driving the recent increase in cocaine-related overdose deaths. This corresponds to the growing supply and use of heroin and illicitly manufactured fentanyl in the United States.

Endometrial Cancer Trends by Race and Histology in the USA: Projecting the Number of New Cases from 2015 to 2040.

PubMed

Gaber, Charles; Meza, Rafael; Ruterbusch, Julie J; Cote, Michele L

2016-10-17

The aim of this study is to explore incidence and incidence-based mortality trends for endometrial cancer in the USA and project future incident cases, accounting for differences by race and histological subtype. Data on age-adjusted and age-specific incidence and mortality rates of endometrial cancer were obtained from the Surveillance, Epidemiology, and End Results 18 registries. Trends in rates were analyzed using Joinpoint regression, and average annual percent change (AAPC) in recent years (2006-2011) was computed for histological subtypes by race. Age, histological, and race-specific rates were applied to US Census Bureau population census estimates to project new cases from 2015 to 2040, accounting for observed AAPC trends, which were progressively attenuated for the future years. The annual number of cases is projected to increase substantially from 2015 to 2040 across all racial groups. Considerable variation in incidence and mortality trends was observed both between and within racial groups when considering histology. As the US population undergoes demographic changes, incidence of endometrial cancer is projected to rise. The increase will occur in all racial groups, but larger increases will be seen in aggressive histology subtypes that disproportionately affect black women.

Sex Differences in Diabetes Mellitus Mortality Trends in Brazil, 1980-2012

PubMed Central

Brito, Alexandre dos Santos; Pinheiro, Rejane Sobrino; Cabral, Cristiane da Silva; de Camargo, Thais Medina Coeli Rochel

2016-01-01

Aims To investigate the hypothesis that the change from the female predominance of diabetes mellitus to a standard of equality or even male preponderance can already be observed in Brazilian mortality statistics. Methods Data on deaths for which diabetes mellitus was listed as the underlying cause were obtained from the Brazilian Mortality Information System for the years 1980 to 2012. The mortality data were also analyzed according to the multiple causes of death approach from 2001 to 2012. The population data came from the Brazilian Institute of Geography and Statistics. The mortality rates were standardized to the world population. We used a log-linear joinpoint regression to evaluate trends in age-standardized mortality rates (ASMR). Results From 1980 to 2012, we found a marked increment in the diabetes ASMR among Brazilian men and a less sharp increase in the rate among women, with the latter period (2003–2012) showing a slight decrease among women, though it was not statistically significant. Conclusions The results of this study suggest that diabetes mellitus in Brazil has changed from a pattern of higher mortality among women compared to men to equality or even male predominance. PMID:27275600

[Homicides in Rio de Janeiro, Brazil: an analysis of lethal violence].

PubMed

Cardoso, Francisca Letícia Miranda Gadelha; Cecchetto, Fátima Regina; Corrêa, Juliana Silva; de Souza, Tiago Oliveira

2016-04-01

The evolution of rates were analyzed for the following categories: murder, larceny, bodily harm followed by death, homicide for resistance to police resulting in death, policeman killed, missing persons and dead bodies found in the state and city of Rio de Janeiro and in Integrated Public Security Area 16 (AISP 16). An ecological study was conducted for the period from 2002 to 2013, using data from the Public Security Institute. To analyze the time trend and evolution of murder charges, resistance to police resulting in death and missing persons rates, Joinpoint regression was performed, using these rates as the dependent variables and the calendar year as the independent variable. For the other categories only the time trends of the rates were analyzed for the relative change in rates at the beginning and end of the period. There were falls in rates in all categories, except for missing persons. The murder rate showed a significant downward trend in the three locations. The results contributed to definition of the pattern of violence in the three locations based on the dialogue between the social sciences, public health and safety that made it possible to establish subjective and objective aspects linked to the study findings.

National trends in utilization and outcomes of coronary revascularization procedures among people with and without type 2 diabetes in Spain (2001–2011)

PubMed Central

2014-01-01

Background Diabetes is associated with a high risk of death due to coronary artery disease (CAD). People with diabetes suffering from CAD are frequently treated with revascularization procedures. We aim to compare trends in the use and outcomes of coronary revascularization procedures in diabetic and non-diabetic patients in Spain between 2001 and 2011. Methods We identified all patients who had undergone coronary revascularization procedures, percutaneous coronary interventions (PCI) and coronary artery bypass graft (CABG) surgeries, using national hospital discharge data. Discharges were grouped by diabetes status: type 2 diabetes and no diabetes. The incidence of discharges attributed to coronary revascularization procedures were calculated stratified by diabetes status. We calculated length of stay and in-hospital mortality (IHM). We apply joinpoint log-linear regression to identify the years in which changes in tendency occurred in the use of PCI and CABG in diabetic and non-diabetic patients. Multivariate analysis was adjusted by age, sex, year and comorbidity (Charlson comorbidity index). Results From 2001 to 2011, 434,108 PCIs and 79,986 CABGs were performed. According to the results of the joinpoint analysis, we found that sex and age-adjusted use of PCI increased by 31.4% per year from 2001 to 2003, by 15.9% per year from 2003 to 2006 and by 3.8% per year from 2006 to 2011 in patients with diabetes. IHM among patients with diabetes who underwent a PCI did not change significantly over the entire study period (OR 0.99; 95% CI 0.97-1.00). Among patients with diabetes who underwent a CABG, the sex and age-adjusted CABG incidence rate increased by 10.4% per year from 2001 to 2003, and then decreased by 1.1% through 2011. Diabetic patients who underwent a CABG had a 0.67 (95% CI 0.63-0.71) times lower probability of dying during hospitalization than those without diabetes. Conclusions The annual percent change in PCI procedures increased in diabetic and non-diabetic patients. Higher comorbidity and the female gender are associated with a higher IHM in PCI procedures. In diabetic and non-diabetic patients, we found a decrease in the use of CABG procedures. IHM was higher in patients without diabetes than in those with diabetes. PMID:24383412

Suicide rates in China, 2004-2014: comparing data from two sample-based mortality surveillance systems.

PubMed

Sha, Feng; Chang, Qingsong; Law, Yik Wa; Hong, Qi; Yip, Paul S F

2018-02-13

The decreasing suicide rate in China has been regarded as a major contributor to the decline of global suicide rate in the past decade. However, previous estimations on China's suicide rates might not be accurate, since often they were based on the data from the Ministry of Health's Vital Registration ("MOH-VR") System, which is biased towards the better-off population. This study aims to compare suicide data extracted from the MOH-VR System with a more representative mortality surveillance system, namely the Center for Disease Control and Prevention's Disease Surveillance Points ("CDC-DSP") System, and update China's national and subnational suicide rates in the period of 2004-2014. The CDC-DSP data are obtained from the National Cause-of-Death Surveillance Dataset (2004-2014) and the MOH-VR data are from the Chinese Health Statistics Yearbooks (2005-2012) and the China Health and Family Planning Statistics Yearbooks (2013-2015). First, a negative binomial regression model was used to test the associations between the source of data (CDC-DSP/MOH-VR) and suicide rates in 2004-2014. Joinpoint regression analyses and Kitagawa's decomposition method are then applied to analyze the trends of the crude suicide rates. Both systems indicated China's suicide rates decreased over the study period. However, before the two systems merged in 2013, the CDC-DSP System reported significantly higher national suicide rates (IRR = 1.18, 95% Confidence Interval [CI]: 1.13-1.24) and rural suicide rates (IRR = 1.29, 95% CI: 1.21-1.38) than the MOH-VR System. The CDC-DSP System also showed significant reversing points in 2011 (95% CI: 2006-2012) and 2006 (95% CI: 2006-2008) on the rural and urban suicide trends. Moreover, the suicide rates in the east and central urban regions were reversed in 2011 and 2008. The biased MOH-VR System underestimated China's national and rural suicide rates. Although not widely appreciated in the field of suicide research, the CDC-DSP System provides more accurate estimations on China's suicide rates and is recommended for future studies to monitor the reversing trends of suicide rates in China's more developed areas.

[Trends in mortality by assault in women in selected countries of Latin America, 2001-2011].

PubMed

Molinatti, Florencia; Acosta, Laura Débora

2015-05-01

Describe the trend in deaths by assault in women in Argentina, Brazil, Chile, Colombia, and Mexico between 2001 and 2011. Descriptive study. Mortality from assaults and undetermined intentional acts was calculated, adjusted for age, using the direct method and the World Health Organization's standard population. Joinpoint regression models were used to identify statistically significant changes. The male:female mortality ratio was compared and trends in the rates were calculated and adjusted for each of the two causes of death and the specific rates of mortality by assault in women by age group. The highest rates of assault of women were reported in Brazil, followed by Colombia, Mexico, Argentina, and Chile. Between 2001 and 2011, decreases were reported from Argentina and Colombia; in Brazil and Mexico the rates increased; and in Chile they remained stable. The highest specific rates were found in young women (15-29 years) and adults (30-44 and 45-59 years). In Colombia the rates declined in all groups, while in Mexico they increased in women aged 15 to 59 years. Only Colombia showed a decrease in mortality from undetermined intentional acts; in Argentina and Mexico there was a decrease at the beginning of the period with a later increase; in Brazil no variations were observed. Mortality from assaults on women in Brazil, Colombia, and Mexico between 2001 and 2011 was higher than the world average and the Latin American average; rates were lower in Argentina and Chile, with minor differences between the sexes. Progress must be made in terms of understanding the power relationships that underlie femicide, which should be included in national criminal legislation.

[Divergent Trends in Suicide Mortality in Navarra and Spain: 2000-2015].

PubMed

Delfrade, Josu; Sayón-Orea, Carmen; Teijeira-Álvarez, Rafael; Floristán-Floristán, Yugo; Moreno-Iribas, Conchi

2017-05-03

The aim of this study was to know the suicide mortality rates in Navarra and Spain and to compare their time trends during the period 2000-2015. Suicide data were obtained from the Instituto Nacional de Estadística [INE], Spain’s National Statistics Institute. During all the period, the coding of cause of death in Navarra was carried out using data from forensic autopsies, while in some Spanish regions this process started after 2010. A Joinpoint time series regression model was used to assess the time trend and estimate the annual percent change [APC] of the rates by sex and 4 age groups. Suicide mortality in Spain showed a significant downward trend in the overall rate between 2000-2011 [APC of -1.93% in males and -2.19% in females] followed by a significant increase in 2012-2015 [APC: 3.65% in men and 7.60% in women]. No inflection points were observed in men aged 25-44 [APC:1.26%], 45-64 [APC: 1.63%], and women over 65 years [APC:-2.18%]. In Navarra, global rates in men showed a non significant decrease [APC:-1.56%] and a significant decrease in the group of men between 25-44 years [APC:-3.19%]. Among women we observed a non significant increase [APC: 0.74%]. The rise in overall suicide rates observed in Spain since 2011, that was not observed in Navarre, could be influenced by the improvements in coding methods in several Spanish regions. However, this could not explain the decrease observed during the all period in men aged 25-44, that was even larger in Navarra.

Medical Expenditures Associated With Hypertension in the U.S., 2000-2013.

PubMed

Zhang, Donglan; Wang, Guijing; Zhang, Ping; Fang, Jing; Ayala, Carma

2017-12-01

Trends of prevalence, treatment, and control of hypertension have been documented in the U.S., but changes in medical expenditures associated with hypertension over time have not been evaluated. This study analyzed these expenditures during 2000-2013 among U.S. adults. Data from the Medical Expenditure Panel Survey were analyzed in 2016. The study population was non-institutionalized men and non-pregnant women aged ≥18 years. Hypertension was defined as ever been diagnosed with hypertension or currently taking antihypertensive medications. Medical expenditures included all payments to medical care providers. Expenditures associated with hypertension were estimated by two-part regression models and adjusted into 2015 U.S. dollars. Controlling variables included sociodemographic characteristics, marital status, insurance, region, smoking status, weight status, health status, and comorbidities. Trends were analyzed using joinpoint method. Total per-person annual expenditures associated with hypertension in 2000-2001 ($1,399) were not significantly different from those in 2012-2013 ($1,494) (average annual percent change [AAPC]= -0.6%, p=0.794), but annual national spending increased significantly from $58.7 billion to $109.1 billion (AAPC=8.3%, p=0.015), mainly because of the increase in the number of people treated for hypertension. Per-person outpatient payments were 22.7% higher in 2012-2013 than in 2000-2001 ($416 vs $322, p<0.05; AAPC=0.8%, p-trend=0.826). Payments for prescription medications took up a larger proportion of the medical expenditures associated with hypertension, compared to payments for outpatient or other services (33%-46%). During 2000-2013, annual national medical expenditures associated with hypertension increased significantly. Preventing hypertension could alleviate hypertension-associated economic burden. Copyright © 2017 American Journal of Preventive Medicine. All rights reserved.

Pancreatic cancer death rates by race among US men and women, 1970-2009.

PubMed

Ma, Jiemin; Siegel, Rebecca; Jemal, Ahmedin

2013-11-20

Few studies have examined trends in pancreatic cancer death rates in the United States, and there have been no studies examining recent trends using age-period-cohort analysis. Annual percentage change in pancreatic cancer death rates was calculated for 1970 to 2009 by sex and race among adults aged 35 to 84 years using US mortality data provided by the National Center for Health Statistics and Joinpoint Regression. Age-period-cohort modeling was performed to evaluate the changes in cohort and period effects. All statistical tests were two-sided. In white men, pancreatic cancer death rates decreased by 0.7% per year from 1970 to 1995 and then increased by 0.4% per year through 2009. Among white women, rates increased slightly from 1970 to 1984, stabilized until the late 1990s, then increased by 0.5% per year through 2009. In contrast, the rates among blacks increased between 1970 and the late 1980s (women) or early 1990s (men) and then decreased thereafter. Age-period-cohort analysis showed that pancreatic cancer death risk was highest for the 1900 to 1910 birth cohort in men and the 1920 to 1930 birth cohort in women and there was a statistically significant increase in period effects since the late 1990s in both white men and white women (two-sided Wald test, P < .001). In the United States, whites and blacks experienced opposite trends in pancreatic cancer death rates between 1970 and 2009 that are largely unexplainable by known risk factors. This study underscores the needs for urgent action to curb the increasing trends of pancreatic cancer in whites and for better understanding of the etiology of this disease.

Characteristics, survival and incidence rates and trends of primary cardiac malignancies in the United States.

PubMed

Saad, Anas M; Abushouk, Abdelrahman Ibrahim; Al-Husseini, Muneer J; Salahia, Sami; Alrefai, Anas; Afifi, Ahmed M; Abdel-Daim, Mohamed M

The available literature on the incidence, management and prognosis of primary malignant cardiac tumors [PMCTs] is limited to single-center studies, prone to small sample size and referral bias. We used data from the Surveillance, Epidemiology, and End Results [SEER]-18 registry (between 2000 and 2014) to investigate the distribution, incidence trends and the survival rates of PMCTs. We used SEER*Stat (version 8.3.4) and the National Cancer Institute's Joinpoint Regression software (version 4.5.0.1) to calculate the incidence rates and annual percentage changes [APC] of PMCTs, respectively. We later used SPSS software (version 23) to perform Kaplan-Meier survival tests and covariate-adjusted Cox models. We identified 497 patients with PMCTs, including angiosarcomas (27.3%) and Non-Hodgkin's lymphomas [NHL] (26.9%). Unlike the incidence rate of NHL (0.108 per 10 6 person-years) that increased significantly (APC=3.56%, 95% CI, [1.445 to 5.725], P=.003) over the study period, we detected no significant change (APC=1.73%, 95% CI [-3.354 to 7.081], P=.483) in the incidence of cardiac angiosarcomas (0.107 per 10 6 person-years). Moreover, our analysis showed that the overall survival of NHL is significantly better than angiosarcomas (P<.001). In addition, surgical treatment was associated with a significant improvement (P=.027) in the overall survival of PMCTs. Our analysis showed a significant increase in the incidence of cardiac-NHL over the past 14 years with a significantly better survival than angiosarcomas. To further characterize these rare tumors, future studies should report data on the medical history and diagnostic and treatment modalities in these patients. Copyright © 2017 Elsevier Inc. All rights reserved.

Cancer in patients with rheumatic diseases exposed to TNF antagonists.

PubMed

Carmona, Loreto; Abasolo, Lydia; Descalzo, Miguel A; Pérez-Zafrilla, Beatriz; Sellas, Agustí; de Abajo, Francisco; Gomez-Reino, Juan J

2011-08-01

To describe the risk of cancer in patients exposed to tumor necrosis factor (TNF) antagonists. The following 2 clinical cohorts were studied: (1) BIOBADASER 2.0: a registry of patients suffering from rheumatic diseases exposed to TNF antagonists (2531 rheumatoid arthritis (RA), 1488 spondyloarthropathies, and 675 other rheumatic conditions); and (2) EMECAR: a cohort of 789 RA patients not exposed to TNF antagonists. Cancer incidence rates (IR) per 1000 patient-years and incidence rate ratios (IRR) were calculated for BIOBADASER 2.0 and EMECAR patients. The IR over time in BIOBADASER 2.0 patients was analyzed by joinpoint regression. The IRR was estimated to compare cancer rates in exposed versus nonexposed RA patients. Standardized incidence and mortality ratios (SIR, SMR) were also estimated. Risk factors for cancer in patients exposed to TNF antagonists were investigated by generalized linear models. The SMR for cancer in BIODASER 2.0 was 0.67 (95% CI: 0.51-0.86), and the SIR was 0.1 (95% CI 0.03-0.23). The IR in RA patients exposed to TNF antagonists was 5.8 (95% CI: 4.4-7.6), and the adjusted IRR was 0.48 (95% CI: 0.09-2.45). The IR in patients with previous cancer was 26.4 (95% CI: 4.1-171.5). Age, chronic obstructive pulmonary disease, and steroids were associated with a higher risk of developing cancer. The IR decreased after the first 4 months of exposure, without statistical significance. Overall cancer and mortality rates in patients with rheumatic diseases exposed to TNF antagonists are no higher than in the background Spanish population. However special attention should be paid to elderly patients, those with previous cancers, and patients treated with steroids. Copyright © 2011 Elsevier Inc. All rights reserved.

Temporal Trends in Mortality from Ischemic and Hemorrhagic Stroke in Mexico, 1980-2012.

PubMed

Cruz, Copytzy; Campuzano-Rincón, Julio César; Calleja-Castillo, Juan Manuel; Hernández-Álvarez, Anaid; Parra, María Del Socorro; Moreno-Macias, Hortensia; Hernández-Girón, Carlos

2017-04-01

Over the past decades, the decline in mortality from stroke has been more pronounced in high-income countries than in low- and middle-income countries. We evaluated changes in temporal stroke mortality trends in Mexico according to sex and type of stroke. We assessed stroke mortality from Mexico's National Health Information System for the period from 1980 to 2012. We analyzed age-adjusted mortality rates by sex, type of stroke, and age group. The annual percentage change and the average annual percentage change (AAPC) in the slopes of the age-adjusted mortality trends were determined using joinpoint regression models. The age-adjusted mortality rates due to stroke decreased between 1980 and 2012, from 44.55 to 33.47 per 100,000 inhabitants, and the AAPC (95% confidence interval [CI]) was -.9 (-1.0 to -.7). The AAPC for females was -1.1 (-1.5 to -.7) and that for males was -.7 (-.9 to -.6). People older than 65 years showed the highest mortality throughout the period. Between 1980 and 2012, the AAPC (95% CI) for ischemic stroke was -3.8 (-4.8 to -2.8) and was -.5 (-.8 to -.2) for hemorrhagic stroke. For the same period, the AAPC for intracerebral hemorrhage (ICH) was -.7 (-1.6 to .2) and that for subarachnoid hemorrhage (SAH) was 1.6 (.4-2.8). The age-adjusted mortality rates of all strokes combined, ischemic stroke, hemorrhagic stroke, and ICH, decreased between 1980 and 2012 in Mexico. However, the increase in SAH mortality makes it necessary to explore the risk factors and clinical management of this type of stroke. Copyright © 2017 National Stroke Association. Published by Elsevier Inc. All rights reserved.

What has happened to suicides during the Greek economic crisis? Findings from an ecological study of suicides and their determinants (2003–2012)

PubMed Central

Rachiotis, George; Stuckler, David; McKee, Martin; Hadjichristodoulou, Christos

2015-01-01

Objectives There is a controversy about the impact of economic crisis on suicide rates in Greece. We analysed recent suicide data to identify who has been most affected and the relationships to economic and labour market indicators. Setting Greece. Primary and secondary outcome measures Age-specific and sex-specific suicide rates in Greece for the period 2003–2012 were calculated using data provided by the Hellenic Statistical Authority. We performed a join-point analysis to identify discontinuities in suicide trends between 2003 and 2010, prior to austerity, and in 2011–2012, during the period of austerity. Regression models were used to assess relationships between unemployment, Gross Domestic Product (GDP) and suicide rates for the entire period by age and sex. Results The mean suicide rate overall rose by 35% between 2010 and 2012, from 3.37 to 4.56/100 000 population. The suicide mortality rate for men increased from 5.75 (2003–2010) to 7.43/100 000 (2011–2012; p<0.01). Among women, the suicide rate also rose, albeit less markedly, from 1.17 to 1.55 (p=0.03). When differentiated by age group, suicide mortality increased among both sexes in the age groups 20–59 and >60 years. We found that each additional percentage point of unemployment was associated with a 0.19/100 000 population rise in suicides (95% CI 0.11 to 0.26) among working age men. Conclusions We found a clear increase in suicides among persons of working age, coinciding with austerity measures. These findings corroborate concerns that increased suicide risk in Greece is a health hazard associated with austerity measures. PMID:25807950

Effect of socioeconomic inequalities on cholecystectomy outcomes: a 10-year population-based analysis.

PubMed

Lu, Ping; Yang, Nan-Ping; Chang, Nien-Tzu; Lai, K Robert; Lin, Kai-Biao; Chan, Chien-Lung

2018-02-13

Although numerous epidemiological studies on cholecystectomy have been conducted worldwide, only a few have considered the effect of socioeconomic inequalities on cholecystectomy outcomes. Specifically, few studies have focused on the low-income population (LIP). A nationwide prospective study based on the Taiwan National Health Insurance dataset was conducted during 2003-2012. The International Classification of ICD-9-CM procedure codes 51.2 and 51.21-51.24 were identified as the inclusion criteria for cholecystectomy. Temporal trends were analyzed using a joinpoint regression, and the hierarchical linear modeling (HLM) method was used as an analytical strategy to evaluate the group-level and individual-level factors. Interactions between age, gender and SES were also tested in HLM model. Analyses were conducted on 225,558 patients. The incidence rates were 167.81 (95% CI: 159.78-175.83) per 100,000 individuals per year for the LIP and 123.24 (95% CI: 116.37-130.12) per 100,000 individuals per year for the general population (GP). After cholecystectomy, LIP patients showed higher rates of 30-day mortality, in-hospital complications, and readmission for complications, but a lower rate of routine discharge than GP patients. The hospital costs and length of stay for LIP patients were higher than those for GP patients. The multilevel analysis using HLM revealed that adverse socioeconomic status significantly negatively affects the outcomes of patients undergoing cholecystectomy. Additionally, male sex, advanced age, and high Charlson Comorbidity Index (CCI) scores were associated with higher rates of in-hospital complications and 30-day mortality. We also observed that the 30-day mortality rates for patients who underwent cholecystectomy in regional hospitals and district hospitals were significantly higher than those of patients receiving care in a medical center. Patients with a disadvantaged finance status appeared to be more vulnerable to cholecystectomy surgery. This result suggested that further interventions in the health care system are necessary to reduce this disparity.

Primary Vulvo-Vaginal Cancers: Trends in Incidence and Mortality in Poland (1999-2012).

PubMed

Banas, Tomasz; Pitynski, Kzimierz; Jach, Robert; Knafel, Anna; Ludwin, Artur; Juszczyk, Grzegorz; Nieweglowska, Dorota

2015-01-01

The aim of this study was to determine the incidence, mortality rates and trends of vulvar and vaginal cancers in Poland. Data were retrieved from the Polish National Cancer Registry. Age-standardised rates (ASRs) of cancer incidence and mortality were calculated by direct standardisation, and joinpoint regression was performed to describe the trends using the average annual percent change (AAPC). From 1999 to 2012, the number of diagnosed cases of vulvar cancer was 5,958, and the ASRs of incidence varied from 0.99 to 1.18, with a significant trend towards a decrease (AAPC -0.78; p < 0.05). The ASR of mortality varied from 0.39 to 0.62, with a slight but insignificant increase in trend (AAPC 0.72; p > 0.05). The ASR of vaginal cancer incidence varied from 0.21 to 0.31, while the ASR of mortality ranged from 0.09 to 0.22. This study also proved a significantly falling trend in vaginal cancer mortality (AAPC -4.69; p < 0.05) and a decreasing trend in vaginal cancer incidence (AAPC -1.67; p > 0.05). The rarity of vulvar and vaginal cancers as well as the decline in their incidence rates should not discourage further research on the epidemiology and treatment of these conditions. © 2015 S. Karger AG, Basel.

Temporal trends in chronic obstructive pulmonary disease mortality in Mexico, 1999-2014.

PubMed

Hernández-Garduño, E; Ocaña-Servín, H L

2017-03-01

Country of Mexico. To determine mortality trends due to chronic obstructive pulmonary disease (COPD) in Mexico between 1999 and 2014. COPD mortality data for persons aged ≥40 years from 1999 to 2014 were obtained from the official website of the Mexican Ministry of Health. Age-standardised mortality rates (ASMRs) were calculated, and joinpoint regression analysis was used to identify trends over time. The annual per cent change (APC) was determined for each trend. A total of 313,962 COPD deaths (crude rate 66.3 per 100,000 population) was reported. Between 1999 and 2014, overall ASMRs decreased from 75.5 to 62.2/100,000 (APC -0.6, P = 0.03): from 94 to 74.7 (APC -0.8, P = 0.004) in males and from 59.7 to 51.8 (APC -0.2, P = 0.4) in females. COPD mortality rates in Mexico are slowly declining overall and among males. The reduction in smoking prevalence over time, and the new cigarette taxes and smoking laws implemented during the study period, have had no immediate impact on mortality. The lack of a decline in COPD mortality among females needs to be further investigated, particularly in rural areas, where the prevalence of biomass smoke exposure remains high.

[The economic crisis at the beginning of the XXI century and mortality in Spain. Trend and impact on social inequalities. SESPAS Report 2014].

PubMed

Ruiz-Ramos, Miguel; Córdoba-Doña, Juan Antonio; Bacigalupe, Amaia; Juárez, Sol; Escolar-Pujolar, Antonio

2014-06-01

This study aimed to assess the impact of the current economic crisis on mortality trends in Spain and its effect on social inequalities in mortality in Andalusia. We used data from vital statistics and the Population Register for 1999 to 2011, as provided by the Spanish Institute of Statistics, to estimate general and sex- and age-specific mortality rates. The Longitudinal Database of the Andalusian Population (2001 census cohort) was used to estimate general mortality rates and ratios by educational level. The annual percentages of change and trends were calculated using Joinpoint regressions. No significant change in the mortality trend was observed in Spain from 2008 onward. A downward trend after 1999 was confirmed for all causes and both sexes, with the exception of nervous system-related diseases. The reduction in mortality due to traffic accidents accelerated after 2003, while the negative trend in suicide was unchanged throughout the period studied. In Andalusia, social inequalities in mortality have increased among men since the beginning of the crisis, mainly due to a more intense reduction in mortality among persons with a higher educational level. Among women, no changes were observed in the pattern of inequality. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

Suicide in Greece 1992-2012: A time-series analysis.

PubMed

Papaslanis, Theodoros; Kontaxakis, Vassilis; Christodoulou, Christos; Konstantakopoulos, George; Kontaxaki, Maria-Irini; Papadimitriou, George N

2016-08-01

Since 2008, Greece has entered a long period of economic crisis with adverse effects on various aspects of daily life. In this frame, it is quite important to examine the suicide trends in Greece. Our analysis covered the period 1992-2012. 2012 was the last year for which official suicide data were available. The inclusion of data for pre-crisis period enabled us to assess trends in suicide preceding the economic crisis, starting in 2008. Trends in sex- and age-adjusted standardized suicide rates (SSR) were analyzed using joinpoint regression. Total SSR presented statistically significant annual decrease of 0.89% (95% confidence interval (CI): -1.7, -0.1) during the period 1992-2008. After 2009, the trend in total SSR increased statistically significant annual increase (12.48%; 95% CI: 0.3%, 26.1%). SSR in males presented an initial period of modest annual decrease (-0.84%; 95% CI: -1.6%, -0.1%), during the period 1992-2008. After 2009, an annual increase by 9.25% (95% CI: 2.7%, 16.3%) was revealed. No change in female SSR trend was observed during the studied period. According to the results of this study, there is clear evidence of an increase in the overall SSR and male SSR in Greece during the period of the current financial crisis. © The Author(s) 2016.

Exploring a potential impact of a social marketing campaign on reducing oral cancer incidences in Michigan: an ecological study

PubMed Central

Lim, Sungwoo; Spavik, Georgia; Ismail, Amid I

2015-01-01

Objectives/Aims: The social marketing campaign was launched in 2005–2007 to address excess risk of oral cancer in Detroit tri-county area, Michigan. We assessed the extent to which the campaign might have contributed to decreasing risk of oral cancer using the modified interrupted time-series design. Materials and Methods: Oral cancer incidence and mortality data came from Michigan Department of Community Health, and trends of age-adjusted rates during 1990–2009 were compared between intervention and comparison counties via joinpoint regression. Results: Although mortality rates in both areas decreased in parallel manner, incidence rates decreased during and after the campaign only in the intervention counties. A similar trend was observed in the race-specific analysis. Alternative explanations, including population profiles, health-care access and pre-existing trends, were examined, and these characteristics were comparable between two areas in 1990s and 2000s. Conclusions: These results suggested that the campaign was more likely to be associated with the decreasing trend of oral cancer incidence in the intervention counties than alternative explanations. Although oral cancer is a deadly disease, its awareness has been relatively low. This study highlights a potential impact of concerted efforts to improve the oral cancer awareness in the high-risk communities. PMID:29607059

Patterns and trends in accidental poisoning death rates in the US, 1979-2014.

PubMed

Buchanich, Jeanine M; Balmert, Lauren C; Pringle, Janice L; Williams, Karl E; Burke, Donald S; Marsh, Gary M

2016-08-01

The purpose of this study was to examine US accidental poisoning death rates by demographic and geographic factors from 1979 to 2014, including High Intensity Drug Trafficking Areas. Crude and age-adjusted death rates were formed for age group, race, sex, and county for accidental poisonings (ICD 9th revision: E850-E869; ICD 10th revision: X40-X49) from 1979 to 2014 using the Mortality and Population Data System housed at the University of Pittsburgh. Rate ratios were calculated comparing rates from 2014 to 1979, overall, by sex, age group, race, and county. Joinpoint regression detected changes in trends and calculated the average annual percentage change (AAPC) as a summary measure of trend. Drug poisoning mortality rates have risen an average of 6% per year since 1979. Increases are occurring in all ages 15+, and in all race-sex groups. HIDTA counties with the highest mortality rates were in Appalachia and New Mexico. Many of the HIDTA border counties had lower rates of mortality. The drug poisoning mortality epidemic is continuing to grow. While HIDTA resources are appropriately targeted at many areas in the US most affected, rates are also rapidly rising in some non-HIDTA areas. Copyright © 2016 Elsevier Inc. All rights reserved.

Trends in the leading causes of death in Korea, 1983-2012.

PubMed

Lim, Daroh; Ha, Mina; Song, Inmyung

2014-12-01

This study aimed to analyze trends in the 10 leading causes of death in Korea from 1983 to 2012. Death rates were derived from the Korean Statistics Information Service database and age-adjusted to the 2010 population. Joinpoint regression analysis was used to identify the points when statistically significant changes occurred in the trends. Between 1983 and 2012, the age-standardized death rate (ASR) from all causes decreased by 61.6% for men and 51.2% for women. ASRs from malignant neoplasms, diabetes mellitus, and transport accidents increased initially before decreasing. ASRs from hypertensive diseases, heart diseases, cerebrovascular diseases and diseases of the liver showed favorable trends (ASR % change: -94.4%, -53.8%, -76.0%, and -78.9% for men, and -77.1%, -36.5%, -67.8%, and -79.9% for women, respectively). ASRs from pneumonia decreased until the mid-1990s and thereafter increased. ASRs from intentional self-harm increased persistently since around 1990 (ASR % change: 122.0% for men and 217.4% for women). In conclusion, death rates from all causes in Korea decreased significantly in the last three decades except in the late 1990s. Despite the great strides made in the overall mortality, temporal trends varied widely by cause. Mortality trends for malignant neoplasms, diabetes mellitus, pneumonia and intentional self-harm were unfavorable.

Exploring a potential impact of a social marketing campaign on reducing oral cancer incidences in Michigan: an ecological study.

PubMed

Lim, Sungwoo; Spavik, Georgia; Ismail, Amid I

2015-01-01

The social marketing campaign was launched in 2005-2007 to address excess risk of oral cancer in Detroit tri-county area, Michigan. We assessed the extent to which the campaign might have contributed to decreasing risk of oral cancer using the modified interrupted time-series design. Oral cancer incidence and mortality data came from Michigan Department of Community Health, and trends of age-adjusted rates during 1990-2009 were compared between intervention and comparison counties via joinpoint regression. Although mortality rates in both areas decreased in parallel manner, incidence rates decreased during and after the campaign only in the intervention counties. A similar trend was observed in the race-specific analysis. Alternative explanations, including population profiles, health-care access and pre-existing trends, were examined, and these characteristics were comparable between two areas in 1990s and 2000s. These results suggested that the campaign was more likely to be associated with the decreasing trend of oral cancer incidence in the intervention counties than alternative explanations. Although oral cancer is a deadly disease, its awareness has been relatively low. This study highlights a potential impact of concerted efforts to improve the oral cancer awareness in the high-risk communities.

Tendency for age-specific mortality with hypertension in the European Union from 1980 to 2011.

PubMed

Tao, Lichan; Pu, Cunying; Shen, Shutong; Fang, Hongyi; Wang, Xiuzhi; Xuan, Qinkao; Xiao, Junjie; Li, Xinli

2015-01-01

Tendency for mortality in hypertension has not been well-characterized in European Union (EU). Mortality data from 1980 to 2011 in EU were used to calculate age-standardized mortality rate (ASMR, per 100,000), annual percentage change (APC) and average annual percentage change (AAPC). The Joinpoint Regression Program was used to compare the changes in tendency. Mortality rates in the most recent year studied vary between different countries, with the highest rates observed in Slovakia men and Estonia women. A downward trend in ASMR was demonstrated over all age groups. Robust decreases in ASMR were observed for both men (1991-1994, APC = -13.54) and women (1996-1999, APC = -14.80) aged 55-65 years. The tendency of systolic blood pressure (SBP) from 1980 to 2009 was consistent with ASMR, and the largest decrease was observed among Belgium men and France women. In conclusion, SBP associated ASMR decreased significantly on an annual basis from 1980 to 2009 while a slight increase was observed after 2009. Discrepancies in ASMR from one country to another in EU are significant during last three decades. With a better understanding of the tendency of the prevalence of hypertension and its mortality, efforts will be made to improve awareness and help strict control of hypertension.

Tendency for age-specific mortality with hypertension in the European Union from 1980 to 2011

PubMed Central

Tao, Lichan; Pu, Cunying; Shen, Shutong; Fang, Hongyi; Wang, Xiuzhi; Xuan, Qinkao; Xiao, Junjie; Li, Xinli

2015-01-01

Tendency for mortality in hypertension has not been well-characterized in European Union (EU). Mortality data from 1980 to 2011 in EU were used to calculate age-standardized mortality rate (ASMR, per 100,000), annual percentage change (APC) and average annual percentage change (AAPC). The Joinpoint Regression Program was used to compare the changes in tendency. Mortality rates in the most recent year studied vary between different countries, with the highest rates observed in Slovakia men and Estonia women. A downward trend in ASMR was demonstrated over all age groups. Robust decreases in ASMR were observed for both men (1991-1994, APC = -13.54) and women (1996-1999, APC = -14.80) aged 55-65 years. The tendency of systolic blood pressure (SBP) from 1980 to 2009 was consistent with ASMR, and the largest decrease was observed among Belgium men and France women. In conclusion, SBP associated ASMR decreased significantly on an annual basis from 1980 to 2009 while a slight increase was observed after 2009. Discrepancies in ASMR from one country to another in EU are significant during last three decades. With a better understanding of the tendency of the prevalence of hypertension and its mortality, efforts will be made to improve awareness and help strict control of hypertension. PMID:25932090

Trends in Suicide by Level of Urbanization - United States, 1999-2015.

PubMed

Kegler, Scott R; Stone, Deborah M; Holland, Kristin M

2017-03-17

Suicide is a major and continuing public health concern in the United States. During 1999-2015, approximately 600,000 U.S. residents died by suicide, with the highest annual rate occurring in 2015 (1). Annual county-level mortality data from the National Vital Statistics System (NVSS) and annual county-level population data from the U.S. Census Bureau were used to analyze suicide rate trends during 1999-2015, with special emphasis on comparing more urban and less urban areas. U.S. counties were grouped by level of urbanization using a six-level classification scheme. To evaluate rate trends, joinpoint regression methodology was applied to the time-series data for each level of urbanization. Suicide rates significantly increased over the study period for all county groupings and accelerated significantly in 2007-2008 for the medium metro, small metro, and non-metro groupings. Understanding suicide trends by urbanization level can help identify geographic areas of highest risk and focus prevention efforts. Communities can benefit from implementing policies, programs, and practices based on the best available evidence regarding suicide prevention and key risk factors. Many approaches are applicable regardless of urbanization level, whereas certain strategies might be particularly relevant in less urban areas affected by difficult economic conditions, limited access to helping services, and social isolation.

Mortality due to cardiovascular diseases in the Americas by region, 2000-2009.

PubMed

Gawryszewski, Vilma Pinheiro; Souza, Maria de Fatima Marinho de

2014-01-01

Cardiovascular diseases are the leading cause of death worldwide. The aim here was to evaluate trends in mortality due to cardiovascular diseases in three different regions of the Americas. This was a time series study in which mortality data from three different regions in the Americas from 2000 to the latest year available were analyzed. The source of data was the Mortality Information System of the Pan-American Health Organization (PAHO). Data from 27 countries were included. Joinpoint regression analysis was used to analyze trends. During the study period, the age-adjusted mortality rates for men were higher than those of females in all regions. North America (NA) showed lower rates than Latin America countries (LAC) and the Non-Latin Caribbean (NLC). Premature deaths (30-69 years old) accounted for 22.8% of all deaths in NA, 38.0% in LAC and 41.8% in NLC. The trend analysis also showed a significant decline in the three regions. NA accumulated the largest decline. The average annual percentage change (AAPC) and 95% confidence interval was -3.9% [-4.2; -3.7] in NA; -1.8% [-2.2; -1.5] in LAC; and -1.8% [-2.7; -0.9] in NLC. Different mortality rates and reductions were observed among the three regions.

Gender disparities in mortality from infectious diseases in Serbia, 1991-2014: a time of civil wars and global crisis.

PubMed

Ilic, M; Ilic, I

2016-09-01

Infectious diseases remain one of the leading causes of death worldwide. The aim of this descriptive epidemiological study was to analyse the trends in mortality from infectious diseases in Serbia (excluding the Autonomous Province of Kosovo & Metohia) from 1991 to 2014 using joinpoint regression analysis. The mortality rates from infectious diseases were found to have increased markedly from 1991 to 1994 (+12·4% per year), followed by a significant decline from 1994 to 2009 (-4·6% per year) and then another increase from 2009 to 2014 (+4·3% per year). Throughout the study period, mortality rates were consistently higher in men than in women. Although a substantial decline was observed for young people of both sexes, no consistent pattern was evident for the middle-aged nor the elderly. Since 1991, septicaemia has emerged as a leading cause of infectious disease mortality, particularly in older men. The Yugoslav civil wars in the 1990s and the global financial crisis in 2008 corresponded with changes in the trends in mortality from infectious diseases in Serbia, with the elderly showing particular vulnerability during those time periods. Data presented in this study might be useful to improve control of infectious diseases in Serbia.

Tumour stage distribution and survival of malignant melanoma in Germany 2002-2011.

PubMed

Schoffer, Olaf; Schülein, Stefanie; Arand, Gerlinde; Arnholdt, Hans; Baaske, Dieter; Bargou, Ralf C; Becker, Nikolaus; Beckmann, Matthias W; Bodack, Yves; Böhme, Beatrix; Bozkurt, Tayfun; Breitsprecher, Regine; Buchali, Andre; Burger, Elke; Burger, Ulrike; Dommisch, Klaus; Elsner, Gudrun; Fernschild, Karin; Flintzer, Ulrike; Funke, Uwe; Gerken, Michael; Göbel, Hubert; Grobe, Norbert; Gumpp, Vera; Heinzerling, Lucie; Kempfer, Lana Raffaela; Kiani, Alexander; Klinkhammer-Schalke, Monika; Klöcking, Sabine; Kreibich, Ute; Knabner, Katrin; Kuhn, Peter; Lutze, Stine; Mäder, Uwe; Maisel, Tanja; Maschke, Jan; Middeke, Martin; Neubauer, Andreas; Niedostatek, Antje; Opazo-Saez, Anabelle; Peters, Christoph; Schell, Beatrice; Schenkirsch, Gerhard; Schmalenberg, Harald; Schmidt, Peter; Schneider, Constanze; Schubotz, Birgit; Seide, Anika; Strecker, Paul; Taubenheim, Sabine; Wackes, Matthias; Weiß, Steffen; Welke, Claudia; Werner, Carmen; Wittekind, Christian; Wulff, Jörg; Zettl, Heike; Klug, Stefanie J

2016-12-05

Over the past two decades, there has been a rising trend in malignant melanoma incidence worldwide. In 2008, Germany introduced a nationwide skin cancer screening program starting at age 35. The aims of this study were to analyse the distribution of malignant melanoma tumour stages over time, as well as demographic and regional differences in stage distribution and survival of melanoma patients. Pooled data from 61 895 malignant melanoma patients diagnosed between 2002 and 2011 and documented in 28 German population-based and hospital-based clinical cancer registries were analysed using descriptive methods, joinpoint regression, logistic regression and relative survival. The number of annually documented cases increased by 53.2% between 2002 (N = 4 779) and 2011 (N = 7 320). There was a statistically significant continuous positive trend in the proportion of stage UICC I cases diagnosed between 2002 and 2011, compared to a negative trend for stage UICC II. No trends were found for stages UICC III and IV respectively. Age (OR 0.97, 95% CI 0.97-0.97), sex (OR 1.18, 95% CI 1.11-1.25), date of diagnosis (OR 1.05, 95% CI 1.04-1.06), 'diagnosis during screening' (OR 3.24, 95% CI 2.50-4.19) and place of residence (OR 1.23, 95% CI 1.16-1.30) had a statistically significant influence on the tumour stage at diagnosis. The overall 5-year relative survival for invasive cases was 83.4% (95% CI 82.8-83.9%). No distinct changes in the distribution of malignant melanoma tumour stages among those aged 35 and older were seen that could be directly attributed to the introduction of skin cancer screening in 2008.

Neuroblastoma among children in Southern and Eastern European cancer registries: Variations in incidence and temporal trends compared to US.

PubMed

Georgakis, Marios K; Dessypris, Nick; Baka, Margarita; Moschovi, Maria; Papadakis, Vassilios; Polychronopoulou, Sophia; Kourti, Maria; Hatzipantelis, Emmanuel; Stiakaki, Eftichia; Dana, Helen; Bouka, Evdoxia; Antunes, Luis; Bastos, Joana; Coza, Daniela; Demetriou, Anna; Agius, Domenic; Eser, Sultan; Gheorghiu, Raluca; Sekerija, Mario; Trojanowski, Maciej; Zagar, Tina; Zborovskaya, Anna; Ryzhov, Anton; Tragiannidis, Athanassios; Panagopoulou, Paraskevi; Steliarova-Foucher, Eva; Petridou, Eleni Th

2018-05-15

Neuroblastoma comprises the most common neoplasm during infancy (first year of life). Our study describes incidence of neuroblastoma in Southern-Eastern Europe (SEE), including - for the first time - the Nationwide Registry for Childhood Hematological Malignancies and Solid Tumors (NARECHEM-ST)/Greece, compared to the US population, while controlling for human development index (HDI). Age-adjusted incidence rates (AIR) were calculated for 1,859 childhood (0-14 years) neuroblastoma cases, retrieved from 13 collaborating SEE registries (1990-2016), and were compared to those of SEER/US (N = 3,166; 1990-2012); temporal trends were assessed using Poisson regression and Joinpoint analyses. The overall AIR was significantly lower in SEE (10.1/million) compared to SEER (11.7 per million); the difference was maximum during infancy (43.7 vs. 53.3 per million, respectively), when approximately one-third of cases were diagnosed. Incidence rates of neuroblastoma at ages <1 and 1-4 years were positively associated with HDI, whereas lower median age at diagnosis was correlated with higher overall AIR. Distribution of primary site and histology was similar in SEE and SEER. Neuroblastoma was slightly more common among males compared to females (male-to-female ratio: 1.1), mainly among SEE infants. Incidence trends decreased in infants in Slovenia, Cyprus and SEER and increased in Ukraine and Belarus. The lower incidence in SEE compared to SEER, especially in infants living in low HDI countries possibly indicates a lower level of overdiagnosis in SEE. Hence, increases in incidence rates in infancy noted in some subpopulations should be carefully monitored to avoid the unnecessary costs health impacts of tumors that could potentially spontaneously regress. © 2017 UICC.

Maternal education and age: inequalities in neonatal death.

PubMed

Fonseca, Sandra Costa; Flores, Patricia Viana Guimarães; Camargo, Kenneth Rochel; Pinheiro, Rejane Sobrino; Coeli, Claudia Medina

2017-11-17

Evaluate the interaction between maternal age and education level in neonatal mortality, as well as investigate the temporal evolution of neonatal mortality in each stratum formed by the combination of these two risk factors. A nonconcurrent cohort study, resulting from a probabilistic relationship between the Mortality Information System and the Live Birth Information System. To investigate the risk of neonatal death we performed a logistic regression, with an odds ratio estimate for the combined variable of maternal education and age, as well as the evaluation of additive and multiplicative interaction. The neonatal mortality rate time series, according to maternal education and age, was estimated by the Joinpoint Regression program. The neonatal mortality rate in the period was 8.09‰ and it was higher in newborns of mothers with low education levels: 12.7‰ (adolescent mothers) and 12.4‰ (mother 35 years old or older). Low level of education, without the age effect, increased the chance of neonatal death by 25% (OR = 1.25, 95%CI 1.14-1.36). The isolated effect of age on neonatal death was higher for adolescent mothers (OR = 1.39, 95%CI 1.33-1.46) than for mothers aged ≥ 35 years (OR = 1.16, 95%CI 1.09-1.23). In the time-trend analysis, no age group of women with low education levels presented a reduction in the neonatal mortality rate for the period, as opposed to women with intermediate or high levels of education, where the reduction was significant, around 4% annually. Two more vulnerable groups - adolescents with low levels of education and older women with low levels of education - were identified in relation to the risk of neonatal death and inequality in reducing the mortality rate.

Maternal education and age: inequalities in neonatal death

PubMed Central

Fonseca, Sandra Costa; Flores, Patricia Viana Guimarães; Camargo, Kenneth Rochel; Pinheiro, Rejane Sobrino; Coeli, Claudia Medina

2017-01-01

ABSTRACT OBJECTIVE Evaluate the interaction between maternal age and education level in neonatal mortality, as well as investigate the temporal evolution of neonatal mortality in each stratum formed by the combination of these two risk factors. METHODS A nonconcurrent cohort study, resulting from a probabilistic relationship between the Mortality Information System and the Live Birth Information System. To investigate the risk of neonatal death we performed a logistic regression, with an odds ratio estimate for the combined variable of maternal education and age, as well as the evaluation of additive and multiplicative interaction. The neonatal mortality rate time series, according to maternal education and age, was estimated by the Joinpoint Regression program. RESULTS The neonatal mortality rate in the period was 8.09‰ and it was higher in newborns of mothers with low education levels: 12.7‰ (adolescent mothers) and 12.4‰ (mother 35 years old or older). Low level of education, without the age effect, increased the chance of neonatal death by 25% (OR = 1.25, 95%CI 1.14–1.36). The isolated effect of age on neonatal death was higher for adolescent mothers (OR = 1.39, 95%CI 1.33–1.46) than for mothers aged ≥ 35 years (OR = 1.16, 95%CI 1.09–1.23). In the time-trend analysis, no age group of women with low education levels presented a reduction in the neonatal mortality rate for the period, as opposed to women with intermediate or high levels of education, where the reduction was significant, around 4% annually. CONCLUSIONS Two more vulnerable groups – adolescents with low levels of education and older women with low levels of education – were identified in relation to the risk of neonatal death and inequality in reducing the mortality rate. PMID:29166446

Coronary angiography and myocardial revascularization following the first acute myocardial infarction in Norway during 2001-2009: Analyzing time trends and educational inequalities using data from the CVDNOR project.

PubMed

Sulo, Enxhela; Nygård, Ottar; Vollset, Stein Emil; Igland, Jannicke; Sulo, Gerhard; Ebbing, Marta; Egeland, Grace M; Hawkins, Nathaniel M; Tell, Grethe S

2016-06-01

We analyzed trends in the utilization of coronary angiography and revascularization - including percutaneous coronary intervention (PCI) or coronary artery bypass surgery (CABG) - related to the first AMI and explored potential educational inequalities in such procedures. All first AMI patients aged 35-89, hospitalized during 2001-2009 were retrieved from 'The Cardiovascular Disease in Norway' project. Information on education was obtained from The Norwegian Education Database. Gender and age group-specific trends in coronary procedures were analyzed using Joinpoint regression. Educational inequalities were explored using multivariable Poisson regression and reported as incidence rate ratios (IRR). A total of 104 836 patients (37.3% women) were included. Revascularization rates increased on average 9.0% and 15.4% per year among younger (35-64years) and older (65-89years) men. Corresponding increases among women were 5.6% and 16.6%. Compared to patients with primary education only, those with secondary and tertiary education had 8% (IRR=1.08, 95% CI; 1.06-1.10) and 12% (IRR=1.12, 95% CI; 1.09-1.14) higher revascularization rates. Educational inequalities were entirely driven by educational differences in receiving coronary angiography (IRR=1.10, 95% CI; 1.08-1.11 for secondary versus primary and IRR=1.14, 95% CI; 1.12-1.16 for tertiary versus primary education level.) Among diagnosed patients, no educational differences were observed in coronary revascularization rates. Revascularization rates increased whereas educational differences in revascularization decreased among AMI patients in Norway during 2001-2009. Lower coronary revascularization rates among patients with low education were explained by educational differences in receiving coronary angiography. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Cancer epidemiology and trends in Sistan and Baluchestan province, Iran.

PubMed

Rafiemanesh, Hosein; Mehtarpoor, Mojtaba; Mohammadian-Hafshejani, Abdollah; Salehiniya, Hamid; Enayatrad, Mostafa; Khazaei, Salman

2015-01-01

Cancer is the second leading cause of death in developing countries. In Iran, cancer is the third cause of death. The present study aimed at providing the incidence rates (crude and agestandardized) of different types of cancers in Sistan and Baluchestan province (Southeastern of Iran). Data were collected retrospectively reviewing all new cancer patients registered in Cancer Registry Center of Health Heputy for Sistan and Baluchestan province. Common cancers were defined based on the number of cases and standardized incidence rates. To compute the annual percentage change (APC), joinpoint 4.1.1.1 software was applied. A total of 3535 cases of cancers registered during 2004-2009 were identified. Of these, 46.82% occurred in females and 53.18% in males. The most frequent cancer in women was breast cancer followed by esophagus, skin, colorectal and leukemia. The 5 most frequent cancers in men were stomach, skin, leukemia, esophagus and bladder. Joinpoint analyze showed a significant increasing trend for adjusted standard incidence rate (ASIR) for both sexes (p<0.05). According to The results of the present study and comparison to previous studies for other provinces in Iran, cancer incidence in Sistan and Baluchistan is less common but trends of cancers are increasing in Sistan and Baluchestan Province. It is necessary to have a comprehensive health policy for prevention and control of this problem.

The drinking water contamination crisis in Flint: Modeling temporal trends of lead level since returning to Detroit water system.

PubMed

Goovaerts, Pierre

2017-03-01

Since Flint returned to its pre-crisis source of drinking water close to 25,000 water samples have been collected and tested for lead and copper in >10,000 residences. This paper presents the first analysis and time trend modeling of lead data, providing new insights about the impact of this intervention. The analysis started with geocoding all water lead levels (WLL) measured during an 11-month period following the return to the Detroit water supply. Each data was allocated to the corresponding tax parcel unit and linked to secondary datasets, such as the composition of service lines, year built, or census tract poverty level. Only data collected on residential parcels within the City limits were used in the analysis. One key feature of Flint data is their collection through two different sampling initiatives: (i) voluntary or homeowner-driven sampling whereby concerned citizens decided to acquire a testing kit and conduct sampling on their own (non-sentinel sites), and (ii) State-controlled sampling where data were collected bi-weekly at selected sites after training of residents by technical teams (sentinel sites). Temporal trends modeled from these two datasets were found to be statistically different with fewer sentinel data exceeding WLL thresholds ranging from 10 to 50μg/L. Even after adjusting for housing characteristics the odds ratio (OR) of measuring WLL above 15μg/L at non-sentinel sites is significantly >1 (OR=1.480) and it increases with the threshold (OR=2.055 for 50μg/L). Joinpoint regression showed that the city-wide percentage of WLL data above 15μg/L displayed four successive trends since the return to Detroit Water System. Despite the recent improvement in water quality, the culprit for differences between sampling programs needs to be identified as it impacts exposure assessment and might influence whether there is compliance or not with the Lead and Copper Rule. Copyright © 2016 Elsevier B.V. All rights reserved.

Trends of mortality from Alzheimer's disease in the European Union, 1994-2013.

PubMed

Niu, H; Alvarez-Alvarez, I; Guillen-Grima, F; Al-Rahamneh, M J; Aguinaga-Ontoso, I

2017-06-01

In many countries, Alzheimer's disease (AD) has gradually become a common disease in elderly populations. The aim of this study was to analyse trends of mortality caused by AD in the 28 member countries in the European Union (EU) over the last two decades. We extracted data for AD deaths for the period 1994-2013 in the EU from the Eurostat and World Health Organization database. Age-standardized mortality rates per 100 000 were computed. Joinpoint regression was used to analyse the trends and compute the annual percent change in the EU as a whole and by country. Analyses by gender and by European regions were conducted. Mortality from AD has risen in the EU throughout the study period. Most of the countries showed upward trends, with the sharpest increases in Slovakia, Lithuania and Romania. We recorded statistically significant increases of 4.7% and 6.0% in mortality rates in men and women, respectively, in the whole EU. Several countries showed changing trends during the study period. According to the regional analysis, northern and eastern countries showed the steepest increases, whereas in the latter years mortality has declined in western countries. Our findings provide evidence that AD mortality has increased in the EU, especially in eastern and northern European countries and in the female population. Our results could be a reference for the development of primary prevention policies. © 2017 EAN.

Trends and predictors of publicly subsidized chiropractic service use among adults age 50+.

PubMed

Votova, Kristine; Penning, Margaret J; Zheng, Chi; Brackley, Moyra E

2010-09-01

This article examines trends in and predictors of publicly subsidized chiropractic use from 1991 to 2000, a decade characterized by health care system reforms throughout North America. The sample included adults age 50+ who visited a publicly subsidized chiropractor in the Canadian province of British Columbia during the study period. Administrative claims data for chiropractic service use were drawn from the Medical Services Plan (MSP) Master file in the British Columbia Linked Health Data resource. The MSP Master file contains claims reported for every provincially insured medical service and supplementary health benefit including chiropractic visits. Joinpoint regression analyses demonstrate that while annual rates of chiropractic users did not change over the decade, visit rates decreased during this period. Predictors of a greater number of chiropractic visits include increasing age, female gender, urban residence, low to moderate income, and use of chiropractic services earlier in the decade. The trend toward decreasing visit rates over the 1990s both conflicts with and is consistent with findings from other North American chiropractic studies using similar time periods. Results indicating that low and moderate income and advancing age predict more frequent chiropractic service are novel. However, given that lower income and older individuals were exempted from chiropractic service limits during this period, these results suggest support for the responsive nature of chiropractic use to financial barriers.

Differences between Men and Women in Time Trends in Lung Cancer Mortality in Spain (1980-2013).

PubMed

Martín-Sánchez, Juan Carlos; Clèries, Ramon; Lidón-Moyano, Cristina; González-de Paz, Luis; Martínez-Sánchez, Jose M

2016-06-01

The main risk factor for lung cancer is smoking, a habit that varies according to age and sex. The objective of this study was to explore trends in lung cancer mortality by sex and age from 1980 to 2013 in Spain. We used lung cancer mortality (International Classification of Diseases code 162 for the 9th edition, and codes C33 and C34 for 10th edition) and population data from the Spanish National Statistics Institute. Crude, truncated, age-adjusted mortality and age-specific mortality rates were assessed through joinpoint regression to estimate the annual percent change (APC). Age-adjusted mortality rate significantly increased from 1980 to 1991 among men (APC=3.12%) and significantly decreased between 2001 and 2013 (APC=-1.53%), a similar pattern was observed in age-specific rates. Among women, age-adjusted mortality rate increased from 1989 (APC 1989-1997=1.82%), with the greatest increase observed from 1997 until the end of the study in 2013 (APC=4.41%). Diverging trends in the prevalence of smoking could explain the increase in the rate of lung cancer-related mortality among Spanish women since the early 1990s. Public health policies should be implemented to reduce tobacco consumption in women and halt the increase in lung cancer mortality. Copyright © 2016 SEPAR. Published by Elsevier Espana. All rights reserved.

Cancer Incidence Trend in the Hebei Spirit Oil Spill Area, from 1999 to 2014: An Ecological Study

PubMed Central

Hur, Jong-Il

2018-01-01

The Hebei Spirit oil spill (HSOS) occurred in the Republic of Korea on 7 December 2007. We aimed to describe the cancer incidence trend in Taean County before and after the oil spill. Five major cancers and leukemia were analyzed. Cancer incidence data were obtained from the Korean National Cancer Center. We compared the standardized incidence rates in Taean with those observed nationwide and selected three coastal areas. Joinpoint regression analysis was used to examine the trends in the average annual percent change and perform comparisons. The incidence rate of prostate cancer increased from 2007 to 2009 at an annual average of 39.3% (95% confidence interval (CI): −25.9, 161.8), 13.5% (95% CI: 11.7, 15.4), and 15.6% (95% CI: 11.9, 19.5), respectively, in Taean, nationwide, and in the coastal areas. The incidence of leukemia among women increased at an annual average of 9.5% (95% CI: −26.6, 63.4) in Taean and 0.6% (95% CI: 0.2, 0.9) nationwide; the rate decreased by 1.9% (95% CI: −12.8, 10.4) in the coastal areas. The trends between Taean County and the coastal areas differed only for prostate cancer (p = 0.0004). The incidence of prostate cancer among Taean County residents has increased since the HSOS. PMID:29772806

Cancer Incidence Trend in the Hebei Spirit Oil Spill Area, from 1999 to 2014: An Ecological Study.

PubMed

Choi, Kyung-Hwa; Park, Myung-Sook; Ha, Mina; Hur, Jong-Il; Cheong, Hae-Kwan

2018-05-17

The Hebei Spirit oil spill (HSOS) occurred in the Republic of Korea on 7 December 2007. We aimed to describe the cancer incidence trend in Taean County before and after the oil spill. Five major cancers and leukemia were analyzed. Cancer incidence data were obtained from the Korean National Cancer Center. We compared the standardized incidence rates in Taean with those observed nationwide and selected three coastal areas. Joinpoint regression analysis was used to examine the trends in the average annual percent change and perform comparisons. The incidence rate of prostate cancer increased from 2007 to 2009 at an annual average of 39.3% (95% confidence interval (CI): -25.9, 161.8), 13.5% (95% CI: 11.7, 15.4), and 15.6% (95% CI: 11.9, 19.5), respectively, in Taean, nationwide, and in the coastal areas. The incidence of leukemia among women increased at an annual average of 9.5% (95% CI: -26.6, 63.4) in Taean and 0.6% (95% CI: 0.2, 0.9) nationwide; the rate decreased by 1.9% (95% CI: -12.8, 10.4) in the coastal areas. The trends between Taean County and the coastal areas differed only for prostate cancer ( p = 0.0004). The incidence of prostate cancer among Taean County residents has increased since the HSOS.

Trends in Breast Cancer Stage and Mortality in Michigan (1992–2009) by Race, Socioeconomic Status, and Area Healthcare Resources

PubMed Central

Akinyemiju, Tomi F.; Soliman, Amr S.; Copeland, Glenn; Banerjee, Mousumi; Schwartz, Kendra; Merajver, Sofia D.

2013-01-01

The long-term effect of socioeconomic status (SES) and healthcare resources availability (HCA) on breast cancer stage of presentation and mortality rates among patients in Michigan is unclear. Using data from the Michigan Department of Community Health (MDCH) between 1992 and 2009, we calculated annual proportions of late-stage diagnosis and age-adjusted breast cancer mortality rates by race and zip code in Michigan. SES and HCA were defined at the zip-code level. Joinpoint regression was used to compare the Average Annual Percent Change (AAPC) in the median zip-code level percent late stage diagnosis and mortality rate for blacks and whites and for each level of SES and HCA. Between 1992 and 2009, the proportion of late stage diagnosis increased among white women [AAPC = 1.0 (0.4, 1.6)], but was statistically unchanged among black women [AAPC = −0.5 (−1.9, 0.8)]. The breast cancer mortality rate declined among whites [AAPC = −1.3% (−1.8,−0.8)], but remained statistically unchanged among blacks [AAPC = −0.3% (−0.3, 1.0)]. In all SES and HCA area types, disparities in percent late stage between blacks and whites appeared to narrow over time, while the differences in breast cancer mortality rates between blacks and whites appeared to increase over time. PMID:23637921

Trend of Suicide Rates According to Urbanity among Adolescents by Gender and Suicide Method in Korea, 1997-2012.

PubMed

Choi, Kyung-Hwa; Kim, Dong-Hyun

2015-05-13

This study aims to quantifiably evaluate the trend of the suicide rate among Korean adolescents from 1997 to 2012 according to urbanity. We used national death certificates and registration population data by administrative district for 15-19 years-old adolescents. The annual percent change (APC) and average annual percent change (AAPC) were estimated by the Joinpoint Regression Program. The suicide rate in the rural areas was higher than that in the urban areas in both genders (males (/100,000), 12.2 vs. 8.5; females (/100,000), 10.2 vs. 7.4 in 2012). However, the trend significantly increased only in the urban area (AAPC [95% CI]: males 2.6 [0.7, 4.6], females 3.3 [1.4, 5.2]). In urban areas, the suicide rate by jumping significantly increased in both genders (AAPC [95% CI]: males, 6.7 [4.3, 9.1]; females, 4.5 [3.0, 6.1]). In rural areas, the rate by self-poisoning significantly decreased by 7.9% per year for males (95% CI: -12.5, -3.0) and the rate by hanging significantly increased by 10.1% per year for females (95% CI: 2.6, 18.2). The trend and methods of suicide differ according to urbanity; therefore, a suicide prevention policy based on urbanity needs to be established for adolescents in Korea.

Self-Certified Sickness Absence among Young Municipal Employees-Changes from 2002 to 2016 and Occupational Class Differences.

PubMed

Sumanen, Hilla; Pietiläinen, Olli; Mänty, Minna

2017-09-26

We examined changes in self-certified, one-to-three day sickness absence (SA) among young employees from 2002 to 2016 and the magnitude of occupational class differences during that period. All 18-34-year-old employees of the City of Helsinki, Finland were included (2002-2016, n = ~11,725 per year). Employer's personnel and SA registers were used. Occupational class was categorized to four groups. Changes in self-certified SA from 2002 to 2016 were analyzed with Joinpoint regression and the magnitudes of occupational class differences were estimated with the relative index of inequality (RII). Most of the trends first increased and turned to decrease in 2007/2010. Managers and professionals had the least amount of SA, but steadily increasing trends were observed among men. Self-certified SA followed only partially the typical socioeconomic gradient, as routine non-manuals had the highest levels of SA. The magnitude of occupational class differences in self-certified SA was stable during the study period only among women. Self-certified SA and occupational class differences have increased in recent years among men in the lower occupational classes. Socioeconomic differences exist in self-certified SA among young employees, but gradient is only partial. Overall, high amounts of self-certified SA especially in the lower occupational classes require further studies and preventive measures.

Trend of Suicide Rates According to Urbanity among Adolescents by Gender and Suicide Method in Korea, 1997–2012

PubMed Central

Choi, Kyung-Hwa; Kim, Dong-Hyun

2015-01-01

This study aims to quantifiably evaluate the trend of the suicide rate among Korean adolescents from 1997 to 2012 according to urbanity. We used national death certificates and registration population data by administrative district for 15–19 years-old adolescents. The annual percent change (APC) and average annual percent change (AAPC) were estimated by the Joinpoint Regression Program. The suicide rate in the rural areas was higher than that in the urban areas in both genders (males (/100,000), 12.2 vs. 8.5; females (/100,000), 10.2 vs. 7.4 in 2012). However, the trend significantly increased only in the urban area (AAPC [95% CI]: males 2.6 [0.7, 4.6], females 3.3 [1.4, 5.2]). In urban areas, the suicide rate by jumping significantly increased in both genders (AAPC [95% CI]: males, 6.7 [4.3, 9.1]; females, 4.5 [3.0, 6.1]). In rural areas, the rate by self-poisoning significantly decreased by 7.9% per year for males (95% CI: −12.5, −3.0) and the rate by hanging significantly increased by 10.1% per year for females (95% CI: 2.6, 18.2). The trend and methods of suicide differ according to urbanity; therefore, a suicide prevention policy based on urbanity needs to be established for adolescents in Korea. PMID:25985313

Epidemiology characteristics and trends of incidence and morphology of stomach cancer in Iran.

PubMed

Almasi, Zeinab; Rafiemanesh, Hosein; Salehiniya, Hamid

2015-01-01

Stomach cancer is the fourth most common cancer and the second leading cause of cancer- related death through the world. It is predicted that the number of new cancer cases will be more than 15 million cases by 2020. Regarding the lack of studies on this topic in the country, we have thoroughly examined the patho-epidemiology of stomach cancer in Iran. In this cross- sectional study data were collected retrospectively reviewing all new stomach cancer patients in Cancer Registry Center report of health deputy for Iran during a 6-year period (2003-2008). The study also examined the morphology of common stomach cancers. Trends in incidence and morphology underwent joinpoint regression analysis. During the six-year period, a total of 35,171 cases of stomach cancer were registered. Average age standardized rate for females and males were equal to 7.1 and 15.1 per 100,000 persons, respectively. Most common histological type was adenocarcinoma, NOS with 21,980 cases (62.50%). The annual percentage change (APC) in age-standardized incidence rate (per 100,000) was increase in both females and males at 11.1 (CI: 4.3 to 18.3) and 9.2 (CI: 5.2 to 13.4), respectively. According to our results, the incidence of gastric cancer is increasing in Iran, so further epidemiological studies into the etiology and early detection are essential.

Trends in Local Therapy Utilization and Cost for Early-Stage Breast Cancer in Older Women: Implications for Payment and Policy Reform

DOE Office of Scientific and Technical Information (OSTI.GOV)

Shirvani, Shervin M.; Department of Radiation Oncology, Banner MD Anderson Cancer Center, Gilbert, Arizona; Jiang, Jing

Purpose: Older women with early-stage disease constitute the most rapidly growing breast cancer demographic, yet it is not known which local therapy strategies are most favored by this population in the current era. Understanding utilization trends and cost of local therapy is important for informing the design of bundled payment models as payers migrate away from fee-for-service models. We therefore used the Surveillance, Epidemiology, and End Results Medicare database to determine patterns of care and costs for local therapy among older women with breast cancer. Methods and Materials: Treatment strategy and covariables were determined in 55,327 women age ≥66 withmore » Tis-T2N0-1M0 breast cancer who underwent local therapy between 2000 and 2008. Trends in local therapy were characterized using Joinpoint. Polychotomous logistic regression determined predictors of local therapy. The median aggregate cost over the first 24 months after diagnosis was determined from Medicare claims through 2010 and reported in 2014 dollars. Results: The median age was 75. Local therapy distribution was as follows: 27,896 (50.3%) lumpectomy with external beam radiation, 18,356 (33.1%) mastectomy alone, 6159 (11.1%) lumpectomy alone, 1488 (2.7%) mastectomy with reconstruction, and 1455 (2.6%) lumpectomy with brachytherapy. Mastectomy alone declined from 39.0% in 2000 to 28.2% in 2008, and the use of breast conserving local therapies rose from 58.7% to 68.2%. Mastectomy with reconstruction was more common among the youngest, healthiest patients, whereas mastectomy alone was more common among patients living in rural low-income regions. By 2008, the costs were $36,749 for lumpectomy with brachytherapy, $35,030 for mastectomy with reconstruction, $31,388 for lumpectomy with external beam radiation, $21,993 for mastectomy alone, and $19,287 for lumpectomy alone. Conclusions: The use of mastectomy alone in older women declined in favor of breast conserving strategies between 2000 and 2008. Using these cost estimates, price points for local therapy bundles can be constructed to incentivize the treatment strategies that confer the highest value.« less

Utilization of Radiation Therapy in Norway After the Implementation of The National Cancer Plan—A National, Population-Based Study

DOE Office of Scientific and Technical Information (OSTI.GOV)

Åsli, Linn M., E-mail: linn.merete.asli@kreftregisteret.no; Kvaløy, Stein O.; Jetne, Vidar

2014-11-01

Purpose: To estimate actual utilization rates of radiation therapy (RT) in Norway, describe time trends (1997-2010), and compare these estimates with corresponding optimal RT rates. Methods and Materials: Data from the population-based Cancer Registry of Norway was used to identify all patients diagnosed with cancer and/or treated by RT for cancer in 1997-2010. Radiation therapy utilization rates (RURs) were calculated as (1) the proportion of incident cancer cases who received RT at least once within 1 year of diagnosis (RUR{sub 1Y}); and (2) the proportion who received RT within 5 years of diagnosis (RUR{sub 5Y}). The number of RT treatment courses per incidentmore » cancer case (TCI) was also calculated for all cancer sites combined. The actual RURs were compared with corresponding Australian and Canadian epidemiologic- and evidence-based model estimates and criterion-based benchmark estimates of optimal RURs. The TCIs were compared with TCI estimates from the 1997 Norwegian/National Cancer Plan (NCP). Joinpoint regression was used to identify changes in trends and to estimate annual percentage change (APC) in actual RUR{sub 1Y} and actual TCI. Results: The actual RUR{sub 5Y} (all sites) increased significantly to 29% in 2005 but still differed markedly from the Australian epidemiologic- and evidence-based model estimate of 48%. With the exception of RUR{sub 5Y} for breast cancer and RUR{sub 1Y} for lung cancers, all actual RURs were markedly lower than optimal RUR estimates. The actual TCI increased significantly during the study period, reaching 42.5% in 2010, but was still lower than the 54% recommended in the NCP. The trend for RUR{sub 1Y} (all sites) and TCI changed significantly, with the annual percentage change being largest during the first part of the study period. Conclusions: Utilization rates of RT in Norway increased after the NCP was implemented and RT capacity was increased, but they still seem to be lower than optimal levels.« less

What has happened to suicides during the Greek economic crisis? Findings from an ecological study of suicides and their determinants (2003-2012).

PubMed

Rachiotis, George; Stuckler, David; McKee, Martin; Hadjichristodoulou, Christos

2015-03-25

There is a controversy about the impact of economic crisis on suicide rates in Greece. We analysed recent suicide data to identify who has been most affected and the relationships to economic and labour market indicators. Greece. Age-specific and sex-specific suicide rates in Greece for the period 2003-2012 were calculated using data provided by the Hellenic Statistical Authority. We performed a join-point analysis to identify discontinuities in suicide trends between 2003 and 2010, prior to austerity, and in 2011-2012, during the period of austerity. Regression models were used to assess relationships between unemployment, Gross Domestic Product (GDP) and suicide rates for the entire period by age and sex. The mean suicide rate overall rose by 35% between 2010 and 2012, from 3.37 to 4.56/100,000 population. The suicide mortality rate for men increased from 5.75 (2003-2010) to 7.43/100,000 (2011-2012; p<0.01). Among women, the suicide rate also rose, albeit less markedly, from 1.17 to 1.55 (p=0.03). When differentiated by age group, suicide mortality increased among both sexes in the age groups 20-59 and >60 years. We found that each additional percentage point of unemployment was associated with a 0.19/100,000 population rise in suicides (95% CI 0.11 to 0.26) among working age men. We found a clear increase in suicides among persons of working age, coinciding with austerity measures. These findings corroborate concerns that increased suicide risk in Greece is a health hazard associated with austerity measures. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Onset of a Declining Trend in Fatal Motor Vehicle Crashes Involving Drunk-driving in Japan

PubMed Central

Nakahara, Shinji; Katanoda, Kota; Ichikawa, Masao

2013-01-01

Background In Japan, introduction of severe drunk-driving penalties and a lower blood alcohol concentration (BAC) limit in June 2002 was followed by a substantial reduction in fatal alcohol-related crashes. However, previous research suggests that this reduction started before the legal amendments. The causes of the decrease have not been studied in detail. Methods Monthly police data on fatal road traffic crashes from January 1995 to August 2006 were analyzed using a joinpoint regression model to identify change-points in the trends of the proportion of drunk-driving among drivers primarily responsible for fatal crashes. We analyzed the data by BAC level (≥0.5 or <0.5 mg/ml), then conducted analyses stratified by vehicle type (car or motorcycle) and age group (<45 or ≥45 years) only for the proportion of those with a BAC of 0.5 mg/ml or higher. Results Among all drivers, the proportion of those with a BAC of 0.5 mg/ml or higher and those with a BAC greater than 0 but less than 0.5 mg/ml showed a change-point from increase to decrease in February 2000 and in May 2002, respectively. The proportion of those with a BAC of 0.5 mg/ml or higher showed a change-point from increase to decrease in October 1999 among car drivers and in April 2000 among drivers younger than 45 years. There was no change-point among motorcyclists. A change-point from no trend to a decrease in January 2002 was observed among those 45 years or older. Conclusions The change-point identified around the end of 1999 to the start of 2000 suggests that a high-profile fatal crash in November 1999, which drew media attention and provoked public debate, triggered subsequent changes in drunk-driving behavior. PMID:23604061

Declining death rates reflect progress against cancer.

PubMed

Jemal, Ahmedin; Ward, Elizabeth; Thun, Michael

2010-03-09

The success of the "war on cancer" initiated in 1971 continues to be debated, with trends in cancer mortality variably presented as evidence of progress or failure. We examined temporal trends in death rates from all-cancer and the 19 most common cancers in the United States from 1970-2006. We analyzed trends in age-standardized death rates (per 100,000) for all cancers combined, the four most common cancers, and 15 other sites from 1970-2006 in the United States using joinpoint regression model. The age-standardized death rate for all-cancers combined in men increased from 249.3 in 1970 to 279.8 in 1990, and then decreased to 221.1 in 2006, yielding a net decline of 21% and 11% from the 1990 and 1970 rates, respectively. Similarly, the all-cancer death rate in women increased from 163.0 in 1970 to 175.3 in 1991 and then decreased to 153.7 in 2006, a net decline of 12% and 6% from the 1991 and 1970 rates, respectively. These decreases since 1990/91 translate to preventing of 561,400 cancer deaths in men and 205,700 deaths in women. The decrease in death rates from all-cancers involved all ages and racial/ethnic groups. Death rates decreased for 15 of the 19 cancer sites, including the four major cancers, with lung, colorectum and prostate cancers in men and breast and colorectum cancers in women. Progress in reducing cancer death rates is evident whether measured against baseline rates in 1970 or in 1990. The downturn in cancer death rates since 1990 result mostly from reductions in tobacco use, increased screening allowing early detection of several cancers, and modest to large improvements in treatment for specific cancers. Continued and increased investment in cancer prevention and control, access to high quality health care, and research could accelerate this progress.

Declining Death Rates Reflect Progress against Cancer

PubMed Central

Jemal, Ahmedin; Ward, Elizabeth; Thun, Michael

2010-01-01

Background The success of the “war on cancer” initiated in 1971 continues to be debated, with trends in cancer mortality variably presented as evidence of progress or failure. We examined temporal trends in death rates from all-cancer and the 19 most common cancers in the United States from 1970–2006. Methodology/Principal Findings We analyzed trends in age-standardized death rates (per 100,000) for all cancers combined, the four most common cancers, and 15 other sites from 1970–2006 in the United States using joinpoint regression model. The age-standardized death rate for all-cancers combined in men increased from 249.3 in 1970 to 279.8 in 1990, and then decreased to 221.1 in 2006, yielding a net decline of 21% and 11% from the 1990 and 1970 rates, respectively. Similarly, the all-cancer death rate in women increased from 163.0 in 1970 to 175.3 in 1991 and then decreased to 153.7 in 2006, a net decline of 12% and 6% from the 1991 and 1970 rates, respectively. These decreases since 1990/91 translate to preventing of 561,400 cancer deaths in men and 205,700 deaths in women. The decrease in death rates from all-cancers involved all ages and racial/ethnic groups. Death rates decreased for 15 of the 19 cancer sites, including the four major cancers, with lung, colorectum and prostate cancers in men and breast and colorectum cancers in women. Conclusions/Significance Progress in reducing cancer death rates is evident whether measured against baseline rates in 1970 or in 1990. The downturn in cancer death rates since 1990 result mostly from reductions in tobacco use, increased screening allowing early detection of several cancers, and modest to large improvements in treatment for specific cancers. Continued and increased investment in cancer prevention and control, access to high quality health care, and research could accelerate this progress. PMID:20231893

Educational differences in sickness absence trends among young employees from 2002 to 2013 in Helsinki, Finland.

PubMed

Sumanen, Hilla; Lahelma, Eero; Lahti, Jouni; Pietiläinen, Olli; Rahkonen, Ossi

2016-05-06

Socioeconomic differences in sickness absence (SA) are well established among older employees but poorly understood among the young. Our aim was to examine 12-year trends in educational differences in SA among young female and male employees, and to assess the magnitude of the differences. We examined annual SA spells. The data were obtained from the employer's registers and linked to Statistics Finland's register data on completed education and qualifications. Education was classified into four hierarchical groups. Joinpoint regression models were used to identify turning points in SA trends. The magnitude of the relative educational differences was estimated in accordance with the relative index of inequality for 2002, 2008 and 2013. Employees of the City of Helsinki, Finland, in 2002-2013. The analyses covered female and male employees aged 25-34 years: employees aged 35-54 years were used as a reference group. SA spells. An educational gradient emerged among younger and older women and men. SA spells increased in the early 2000s, and downward turning points were located in 2007-2010 in all educational groups among women and in most groups among men. The magnitude of the differences remained broadly stable among younger women from 2002 to 2013, and decreased slightly among older women and more strongly among younger and older men. The educational differences were greater among men than women in the early 2000s, but similar among both at the end of the study period. The changes in SA spells may reflect the economic downturn started in 2008 and resulting job insecurity. Early preventive measures aimed at reducing educational differences in SA should be focused at an early stage on those with low levels of education in particular. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Trends in gastric cancer mortality and in the prevalence of Helicobacter pylori infection in Portugal.

PubMed

Morais, Samantha; Ferro, Ana; Bastos, Ana; Castro, Clara; Lunet, Nuno; Peleteiro, Bárbara

2016-07-01

Portugal has the highest gastric cancer mortality rates in Western Europe, along with high prevalences of Helicobacter pylori infection. Monitoring their trends is essential to predict the burden of this cancer. We aimed to quantify time trends in gastric cancer mortality in Portugal and in each administrative region, and to compute short-term predictions, as well as to describe the prevalence of H. pylori infection, through a systematic review. Joinpoint analyses were used to identify significant changes in sex-specific trends in gastric cancer age-standardized mortality rates (ASMR) and to estimate annual percent changes (APC). The most recent trends were considered to compute estimates up to 2020 by adjusting Poisson regression models. We searched PubMed and IndexRMP to identify studies carried out in Portugal reporting the prevalence of H. pylori. Gastric cancer mortality has been decreasing in Portugal since 1971 in men (from ASMR=55.3/100 000; APC=-2.4, 95% confidence interval: -2.5 to -2.3) and since 1970 in women (from ASMR=28.0/100 000; APC=-2.8, 95% confidence interval: -2.9 to -2.7), although large regional differences were observed. Predicted ASMR for 2015 and 2020 were 18.8/100 000 and 16.7/100 000 for men and 8.5/100 000 and 7.4/100 000 for women, respectively. The prevalence of H. pylori varied from almost 5% at 0.5-2 years to just over 90% at 70 years or more. No consistent variation was observed since the 1990s. The downward trends in mortality rates are expected to remain in the next decades. The high prevalence of H. pylori infection across age groups and studies from different periods shows a large potential for decrease in the burden of gastric cancer in Portugal.

The epidemiological and histological trend of bladder cancer in Iran.

PubMed

Rafiemanesh, Hosein; Lotfi, Zahra; Bakhtazad, Sima; Ghoncheh, Mahshid; Salehiniya, Hamid

2018-01-01

Bladder cancer is the ninth common cancer in the world, the third common cancer among men in the Arabic and Western Asian countries, and the second in some regions of Iran (a country in the Middle East). There was no study on the epidemiological and histological trend of bladder cancer in Iran. This study aimed to the epidemiological and histological trend of bladder cancer in Iran. In this study, data were extracted from annual cancer registry reports of Iranian Ministry of Health between 2003 and 2008. Standardized incidence rates were calculated using the world standard population and incidence rate was calculated by age groups, sex, and histological type. Data on epidemiologic trend and histology were analyzed using Joinpoint software package. A total of 23,291 cases were reported. Almost 17.70% (4127 cases) were women and 82.30% (19,170 cases) men. The sex ratio (male to female) was 4.65. Joinpoint analysis showed the significant increased trend of age-standardized incidence rate (ASIR) for both sexes. The annual percentage change of standardized incidence rate was 11.5 (confidence interval [CI]: 9.0-14.0) in women and 10.8 (CI: 8.0-13.6) in men. Two histological types of transitional cell carcinoma (TCC), not otherwise specified and papillary TCC included 43.89% and 49.86% of all cancer cases, respectively. According to this study the trend of ASIR of bladder cancer in Iran is rising, so it is necessary to conduct further researches in future to provide accurate information on the cancer and investigate related risk factors and implement prevention programs in Iran.

Adult brain cancer in the U.S. black population: a Surveillance, Epidemiology, and End Results (SEER) analysis of incidence, survival, and trends.

PubMed

Gabriel, Abigail; Batey, Jason; Capogreco, Joseph; Kimball, David; Walters, Andy; Tubbs, R Shane; Loukas, Marios

2014-08-25

Despite much epidemiological research on brain cancer in the United States, the etiology for the various subtypes remains elusive. The black population in the United States currently experiences lower incidence but higher survival rates when compared to other races. Thus, the aim of this study is to analyze the trends in incidence and survival for the 6 most common primary brain tumors in the black population of the United States. The Surveillance, Epidemiology, and End Results (SEER) database was utilized in this study to analyze the incidence and survival rates for the 6 most common brain tumor subtypes. Joinpoint 3.5.2 software was used to analyze trends in the incidence of diagnosis from 1973 to 2008. A Kaplan-Meier curve was generated to analyze mean time to death and survival at 60 months. Joinpoint analysis revealed that per year the incidence of brain cancer in the U.S. black population increased by 0.11 between 1973 and 1989. After this period, a moderate decrease by 0.06 per annum was observed from 1989 to 2008. Lymphoma was the most common primary tumor subtype for black individuals ages 20-34, and glioblastoma was identified as the most common tumor subtype for black individuals in the age groups of 35-49, 50-64, 65-79, and 80+. This population-based retrospective study of brain cancer in black adults in the United States revealed significant sex and age differences in the incidence of the 6 most common brain tumor subtypes from 1973 to 2008.

Cancer incidence in northern Sweden before and after the Chernobyl nuclear power plant accident.

PubMed

Alinaghizadeh, Hassan; Tondel, Martin; Walinder, Robert

2014-08-01

Sweden received about 5 % of the total release of (137)Cs from the Chernobyl nuclear power plant accident in 1986. The distribution of the fallout mainly affected northern Sweden, where some parts of the population could have received an estimated annual effective dose of 1-2 mSv per year. It is disputed whether an increased incidence of cancer can be detected in epidemiological studies after the Chernobyl nuclear power plant accident outside the former Union of Soviet Socialist Republics. In the present paper, a possible exposure-response pattern between deposition of (137)Cs and cancer incidence after the Chernobyl nuclear power plant accident was investigated in the nine northernmost counties of Sweden (2.2 million inhabitants in 1986). The activity of (137)Cs from the fallout maps at 1986 was used as a proxy for the received dose of ionizing radiation. Diagnoses of cancer (ICD-7 code 140-209) from 1980 to 2009 were received from the Swedish Cancer Registry (273,222 cases). Age-adjusted incidence rate ratios, stratified by gender, were calculated with Poisson regression in two closed cohorts of the population in the nine counties 1980 and 1986, respectively. The follow-up periods were 1980-1985 and 1986-2009, respectively. The average surface-weighted deposition of (137)Cs at three geographical levels; county (n = 9), municipality (n = 95) and parish level (n = 612) was applied for the two cohorts to study the pre- and the post-Chernobyl periods separately. To analyze time trends, the age-standardized total cancer incidence was calculated for the general Swedish population and the population in the nine counties. Joinpoint regression was used to compare the average annual percent change in the general population and the study population within each gender. No obvious exposure-response pattern was seen in the age-adjusted total cancer incidence rate ratios. A spurious association between fallout and cancer incidence was present, where areas with the lowest incidence of cancer before the accident coincidentally had the lowest fallout of (137)Cs. Increasing the geographical resolution of exposure from nine county averages to 612 parish averages resulted in a two to three times higher value of variance in the regression model. There was a secular trend with an increase in age-standardized incidence of cancer in both genders from 1980 to 2009, but significant only in females. This trend was stronger and statistically significant for both genders in the general Swedish population compared to the nine counties. In conclusion, using both high quality cancer registry data and high resolution exposure maps of (137)Cs deposition, it was not possible to distinguish an effect of (137)Cs on cancer incidence after the Chernobyl nuclear power plant accident in Sweden.

Mortality with musculoskeletal disorders as underlying cause in Sweden 1997-2013: a time trend aggregate level study.

PubMed

Kiadaliri, Aliasghar A; Englund, Martin

2016-04-14

The aim was to assess time trend of mortality with musculoskeletal disorders (MSD) as underlying cause of death in Sweden from 1997 to 2013. We obtained data on MSD as underlying cause of death across age and sex groups from the National Board of Health and Welfare's Cause of Death Register. Age-standardized mortality rates per million population for all MSD, its six major subgroups, and all other ICD-10 (International Classification of Disease) chapters were calculated. We computed the average annual percent change (AAPC) in the mortality rates across age/sex groups using joinpoint regression analysis by fitting a regression line to the natural logarithm of the age-standardized mortality rates and calendar year as a predictor. There were a total of 7 976 deaths (0.5% of all causes deaths) with MSD as the underlying cause of death (32.5% of these deaths caused by rheumatoid arthritis [RA]). The overall age-standardized mortality rates (95% CI) were 16.0 (15.4 to 16.7) and 24.9 (24.1 to 25.7) per million among men and women, respectively (women/men rate ratio 1.55; 95%CI 1.47 to 1.63). On average, mortality rate declined by 2.3% per year and only circulatory system mortality had a more favourable decline than mortality with MSD as underlying cause. Among MSD the highest decline was observed in RA (3.7% per year) during study period. Across age groups, while there were generally stable or declining trends, spondylopathies and osteoporosis mortality among people ≥ 75 years increased by 2 and 1.5% per year, respectively. In overall, mortality with MSD as underlying cause has declined in Sweden over last two decades, with the highest decline for RA. However, there are variations across MSD subgroups which warrants further investigations.

46-Year Trends in Systemic Lupus Erythematosus Mortality in the United States, 1968 to 2013: A Nationwide Population-Based Study.

PubMed

Yen, Eric Y; Shaheen, Magda; Woo, Jennifer M P; Mercer, Neil; Li, Ning; McCurdy, Deborah K; Karlamangla, Arun; Singh, Ram R

2017-12-05

No large population-based studies have been done on systemic lupus erythematosus (SLE) mortality trends in the United States. To identify secular trends and population characteristics associated with SLE mortality. Population-based study using a national mortality database and census data. United States. All U.S. residents, 1968 through 2013. Joinpoint trend analysis of annual age-standardized mortality rates (ASMRs) for SLE and non-SLE causes by sex, race/ethnicity, and geographic region; multiple logistic regression analysis to determine independent associations of demographic variables and period with SLE mortality. There were 50 249 SLE deaths and 100 851 288 non-SLE deaths from 1968 through 2013. Over this period, the SLE ASMR decreased less than the non-SLE ASMR, with a 34.6% cumulative increase in the ratio of the former to the latter. The non-SLE ASMR decreased every year starting in 1968, whereas the SLE ASMR decreased between 1968 and 1975, increased between 1975 and 1999, and decreased thereafter. Similar patterns were seen in both sexes, among black persons, and in the South. However, statistically significant increases in the SLE ASMR did not occur among white persons over the 46-year period. Females, black persons, and residents of the South had higher SLE ASMRs and larger cumulative increases in the ratio of the SLE to the non-SLE ASMR (31.4%, 62.5%, and 58.6%, respectively) than males, other racial/ethnic groups, and residents of other regions, respectively. Multiple logistic regression showed independent associations of sex, race, and region with SLE mortality risk and revealed significant racial/ethnic differences in associations of SLE mortality with sex and region. Underreporting of SLE on death certificates may have resulted in underestimates of SLE ASMRs. Accuracy of coding on death certificates is difficult to ascertain. Rates of SLE mortality have decreased since 1968 but remain high relative to non-SLE mortality, and significant sex, racial, and regional disparities persist. None.

National and regional breast cancer incidence and mortality trends in Mexico 2001-2011: Analysis of a population-based database.

PubMed

Soto-Perez-de-Celis, Enrique; Chavarri-Guerra, Yanin

2016-04-01

Breast cancer is the most common malignancy in Mexican women since 2006. However, due to a lack of cancer registries, data is scarce. We sought to describe breast cancer trends in Mexico using population-based data from a national database and to analyze geographical and age-related differences in incidence and mortality rates. All incident breast cancer cases reported to the National Epidemiological Surveillance System and all breast cancer deaths registered by the National Institute of Statistics and Geography in Mexico from 2001 to 2011 were included. Incidence and mortality rates were calculated for each age group and for 3 geographic regions of the country. Joinpoint regression analysis was performed to examine trends in BC incidence and mortality. We estimated annual percentage change (APC) using weighted least squares log-linear regression. We found an increase in the reported national incidence, with an APC of 5.9% (95% CI 4.1-7.7, p<0.05). Women aged 60-65 had the highest increase in incidence (APC 7.89%; 95% CI 5.5 -10.3, p<0.05). Reported incidence rates were significantly increased in the Center and in the South of the country, while in the North they remained stable. Mortality rates also showed a significant increase, with an APC of 0.4% (95% CI 0.1-0.7, p<0.05). Women 85 and older had the highest increase in mortality (APC 2.99%, 95% CI 1.9-4.1; p<0.05). The reporting of breast cancer cases in Mexico had a continuous increase, which could reflect population aging, increased availability of screening, an improvement in the number of clinical facilities and better reporting of cases. Although an improvement in the detection of cases is the most likely explanation for our findings, our results point towards an epidemiological transition in Mexico and should help in guiding national policy in developing countries. Copyright © 2016 Elsevier Ltd. All rights reserved.

Sexual content in video games: an analysis of the Entertainment Software Rating Board classification from 1994 to 2013.

PubMed

Vidaña-Pérez, Dèsirée; Braverman-Bronstein, Ariela; Basto-Abreu, Ana; Barrientos-Gutierrez, Inti; Hilscher, Rainer; Barrientos-Gutierrez, Tonatiuh

2018-01-11

Background: Video games are widely used by children and adolescents and have become a significant source of exposure to sexual content. Despite evidence of the important role of media in the development of sexual attitudes and behaviours, little attention has been paid to monitor sexual content in video games. Methods: Data was obtained about sexual content and rating for 23722 video games from 1994 to 2013 from the Entertainment Software Rating Board database; release dates and information on the top 100 selling video games was also obtained. A yearly prevalence of sexual content according to rating categories was calculated. Trends and comparisons were estimated using Joinpoint regression. Results: Sexual content was present in 13% of the video games. Games rated 'Mature' had the highest prevalence of sexual content (34.5%) followed by 'Teen' (30.7%) and 'E10+' (21.3%). Over time, sexual content decreased in the 'Everyone' category, 'E10+' maintained a low prevalence and 'Teen' and 'Mature' showed a marked increase. Both top and non-top video games showed constant increases, with top selling video games having 10.1% more sexual content across the period of study. Conclusion: Over the last 20 years, the prevalence of sexual content has increased in video games with a 'Teen' or 'Mature' rating. Further studies are needed to quantify the potential association between sexual content in video games and sexual behaviour in children and adolescents.

Trends in hip fracture-related mortality in Texas, 1990-2007.

PubMed

Orces, Carlos H; Alamgir, Abul H

2011-07-01

There are limited data about trends in hip fracture-related mortality. In this study, we examined temporal trends in hip fracture mortality rates among persons aged 50 years or older in Texas between 1990 and 2007. Hip fracture-related mortality was defined as a death on the multiple cause of death record for which hip fracture was listed as a contributing cause. Population estimates for Texas were used as the denominator to calculate mortality rates per 100,000 persons. The joinpoint regression analysis was used to identify points where a statistically significant change occurred in the linear slope of the rates. A total of 14,350 death certificates listed hip fracture as a contributing cause of death. Hip fracture rates decreased predominantly among men by 0.8% (95% CI, -1.5 to -0.1) per year. Conversely, age-adjusted rates among women increased by 0.3% (95% CI, -0.4 to 1.0) per year. By race/ethnicity, hip fracture mortality rates increased annually 2.2% (95% CI, -0.1 to 4.4) among blacks, whereas the rates among whites and Hispanics remained steady. Moreover, the proportion of death records that listed nursing homes and residence as a place of death increased by 2.2% (95% CI, 1.6 to 2.9) and 8.7% (95% CI, 6.3 to 11.0) per year, respectively. Hip fracture mortality rates decreased predominantly among men in Texas during the study period. Increasing hip fracture mortality rates among blacks and nursing home residents merit further research.

Prostate Cancer in Iran: Trends in Incidence and Morphological and Epidemiological Characteristics.

PubMed

Pakzad, Reza; Rafiemanesh, Hosein; Ghoncheh, Mahshid; Sarmad, Arezoo; Salehiniya, Hamid; Hosseini, Sayedehafagh; Sepehri, Zahra; Afshari-Moghadam, Amin

2016-01-01

Prostate cancer is second most common cancer in men overall in the world, whereas it is the third most common cancer in men and the sixth most common cancer in Iran. Few studies have been conducted on the epidemiology of prostate cancer in Iran. Since ethnicity of Iranian men is different from Asian people and given the epidemiologic and demographic transition taking place in Iran, this study aimed to investigate trends of incidence and morphology of prostate cancer during 2003 - 2008 in the country. Data were collected retrospectively reviewing all new prostate cancer patients in the Cancer Registry Center of the Health Deputy for Iran during a 6-year period. Also carcinoma, NOS and adenocarcinoma, NOS morphology were surveyed. Trends analysis of incidence and morphology was by joinpoint regression. During the six years a total of 16,071 cases of prostate cancer were recorded in Iran. Most were adenocarcinomas at 95.2 percent. Trend analysis of incidence (ASR) There was a significant increase incidence, with annual percentage change (APC) of 17.3% and for morphology change percentage trends there was a significant decrease in adenocarcinoma with an APC of -1.24%. Prostate cancer is a disease of older men and the incidence is increasing in Iran. The most common morphology is adenocarcinoma this appears to be decreasing over time. Due to the changing lifestyles and the aging of the population, epidemiological studies and planning assessment of the etiology of prostate cancer and its early detection are essential.

Declining death rates from hyperglycemic crisis among adults with diabetes, U.S., 1985-2002.

PubMed

Wang, Jing; Williams, Desmond E; Narayan, K M Venkat; Geiss, Linda S

2006-09-01

To examine trends in death rates for hyperglycemic crisis (diabetic ketoacidosis or hyperglycemic hyperosmolar state) among adults with diabetes in the U.S. from 1985 to 2002. Deaths with hyperglycemic crisis as the underlying cause were identified from national mortality data. Death rates were calculated using estimates of adults with diabetes from the National Health Interview Survey as the denominator and age adjusted to the 2000 U.S. population. The trends from 1985 to 2002 were tested using joinpoint regression analysis. Deaths due to hyperglycemic crisis dropped from 2,989 in 1985 to 2,459 in 2002. During the time period, age-adjusted death rates decreased from 42.4 to 23.8 per 100,000 adults with diabetes (4.4% decrease per year, P for trend <0.01). Death rates declined in all age-groups, with the greatest decrease occurring among individuals aged > or =65 years. Age-adjusted death rates fell for all race-sex subgroups, with black men experiencing the smallest decline. About one-fifth of deaths occurred at home or on arrival at the hospital, and the death rates for hyperglycemic crisis occurring at these places declined only modestly over time (2.1% decrease per year, P for trend = 0.049). Overall death rates due to hyperglycemic crisis among adults with diabetes have declined in the U.S. However, scope for further improvement remains, especially to further reduce death rates among black men and to prevent deaths occurring at home.

Cancer mortality in Brazil

PubMed Central

Barbosa, Isabelle R.; de Souza, Dyego L.B.; Bernal, María M.; Costa, Íris do C.C.

2015-01-01

Abstract Cancer is currently in the spotlight due to their heavy responsibility as main cause of death in both developed and developing countries. Analysis of the epidemiological situation is required as a support tool for the planning of public health measures for the most vulnerable groups. We analyzed cancer mortality trends in Brazil and geographic regions in the period 1996 to 2010 and calculate mortality predictions for the period 2011 to 2030. This is an epidemiological, demographic-based study that utilized information from the Mortality Information System on all deaths due to cancer in Brazil. Mortality trends were analyzed by the Joinpoint regression, and Nordpred was utilized for the calculation of predictions. Stability was verified for the female (annual percentage change [APC] = 0.4%) and male (APC = 0.5%) sexes. The North and Northeast regions present significant increasing trends for mortality in both sexes. Until 2030, female mortality trends will not present considerable variations, but there will be a decrease in mortality trends for the male sex. There will be increases in mortality rates until 2030 for the North and Northeast regions, whereas reductions will be verified for the remaining geographic regions. This variation will be explained by the demographic structure of regions until 2030. There are pronounced regional and sex differences in cancer mortality in Brazil, and these discrepancies will continue to increase until the year 2030, when the Northeast region will present the highest cancer mortality rates in Brazil. PMID:25906105

The influence of intern home call on objectively measured perioperative outcomes.

PubMed

Kastenberg, Zachary J; Rhoads, Kim F; Melcher, Marc L; Wren, Sherry M

2013-04-01

In July 2011, surgical interns were prohibited from being on call from home by the new residency review committee guidelines on work hours. In support of the new Accreditation Council for Graduate Medical Education work-hour restrictions, we expected that a period of intern home call would correlate with increased rates of postoperative morbidity and mortality. Prospective cohort. University-affiliated tertiary Veterans Affairs Medical Center. All patients identified in the Veterans Affairs National Surgical Quality Improvement Program database who underwent an operation performed by general, vascular, urologic, or cardiac surgery services between fiscal years (FYs) 1999 and 2010 were included. During FYs 1999-2003, the first call for all patients went to an in-hospital intern. In the subsequent period (FYs 2004-2010), the first call went to an intern on home call. Thirty-day unadjusted morbidity and mortality rates and risk-adjusted observed to expected ratios were analyzed by univariate analysis and joinpoint regression, respectively. Unadjusted overall morbidity rates decreased between 1999-2003 and 2004-2010 (12.14% to 10.19%, P = .003). The risk-adjusted morbidity observed to expected ratios decreased at a uniform annual percentage change of -6.03% (P < .001). Unadjusted overall mortality rates also decreased between the 2 periods (1.76% to 1.26%; P = .05). There was no significant change in the risk-adjusted mortality observed to expected ratios during the study. The institution of an intern home call schedule was not associated with increased rates of postoperative morbidity or mortality.

Type 1 diabetes incidence and prevalence trends in a cohort of Canadian children and youth.

PubMed

Fox, Danya A; Islam, Nazrul; Sutherland, Jenny; Reimer, Kim; Amed, Shazhan

2018-05-01

Incidence rates of type 1 diabetes have long been on the rise across the globe, however, there is emerging evidence that the rate of rise may be slowing. The objective of this study was to describe trends in the incidence and prevalence of type 1 diabetes in a sample of Canadian children and youth. Cases were extracted using linked administrative datasets and a validated diabetes case-finding definition. Incidence and prevalence trends were analyzed using the JoinPoint regression analysis program. A small increase in the incidence of type 1 diabetes was observed over the 11-year period from 2002-2003 to 2012-2013. Total incident cases per year ranged from 201 (2005-2006) to 250 (2007-2008). Total prevalent cases per year ranged from 1790 (2002-2003) to 2264 (2012-2013). Incidence was highest among children aged 5 to 14 years, and lowest in the youngest (1-4 years) and oldest (15-19 years) age brackets. The most significant increase in incidence was in children aged 10 to 14 years. Age-standardized prevalence increased significantly throughout the study period. These results are similar to data from the United States but differ from European data with respect to the annual percent change for incidence as well as age-specific incidence trends. In keeping with the low mortality rates associated with type 1 diabetes, the prevalence continues to rise. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The remarkable geographical pattern of gastric cancer mortality in Ecuador.

PubMed

Montero-Oleas, Nadia; Núñez-González, Solange; Simancas-Racines, Daniel

2017-12-01

This study was aimed to describe the gastric cancer mortality trend, and to analyze the spatial distribution of gastric cancer mortality in Ecuador, between 2004 and 2015. Data were collected from the National Institute of Statistics and Census (INEC) database. Crude gastric cancer mortality rates, standardized mortality ratios (SMRs) and indirect standardized mortality rates (ISMRs) were calculated per 100,000 persons. For time trend analysis, joinpoint regression was used. The annual percentage rate change (APC) and the average annual percent change (AAPC) was computed for each province. Spatial age-adjusted analysis was used to detect high risk clusters of gastric cancer mortality, from 2010 to 2015, using Kulldorff spatial scan statistics. In Ecuador, between 2004 and 2015, gastric cancer caused a total of 19,115 deaths: 10,679 in men and 8436 in women. When crude rates were analyzed, a significant decline was detected (AAPC: -1.8%; p<0.001). ISMR also decreased, but this change was not statistically significant (APC: -0.53%; p=0.36). From 2004 to 2007 and from 2008 to 2011 the province with the highest ISMR was Carchi; and, from 2012 to 2015, was Cotopaxi. The most likely high occurrence cluster included Bolívar, Los Ríos, Chimborazo, Tungurahua, and Cotopaxi provinces, with a relative risk of 1.34 (p<0.001). There is a substantial geographic variation in gastric cancer mortality rates among Ecuadorian provinces. The spatial analysis indicates the presence of high occurrence clusters throughout the Andes Mountains. Copyright © 2017 The Authors. Published by Elsevier Ltd.. All rights reserved.

Regional variation in coronary heart disease mortality trends in Portugal, 1981-2012.

PubMed

Araújo, Carla; Pereira, Marta; Viana, Marta; Rocha, Olga Laszczyńska; Bennett, Kathleen; Lunet, Nuno; Azevedo, Ana

2016-12-01

Information is scarce about the geographic variation in time trends of mortality from coronary heart disease (CHD). We aimed to describe trends in death rates, absolute number of deaths and years of life lost (YLL) due to CHD among men and women in Portugal, by region, from 1981 to 2012. The age-standardized mortality rates from CHD were estimated by sex and region. We used joinpoint regression analysis to calculate the annual percent change (APC) in mortality and to identify points of significant change in the trend. The YLL due to premature mortality for CHD were computed using the Global Burden of Disease method. The age-adjusted mortality from CHD decreased between 1981 and 2012, both in men and women, but with significantly different APC by region. Smaller declines in rates were observed in Alentejo (men: APC 1993-2012: -2.4%; women: APC 1991-2012: -2.4%). The greatest decline was observed in Madeira between 2003 and 2012, in men (APC: -7.6%) and women (APC: -9.7%). The decline in rates in Algarve started only after 2003, whereas it was consistent from 1981 in the North and started in the 1990s in most other regions. A decrease in the number of deaths was only observed after 2000. The YLL from CHD decreased from 1981 to 2012, mainly after 2000. In Portugal, between 1981 and 2012, relative declines of CHD mortality indicators were different by geographic region. Consistent decreases in mortality rates were only observed in the Centre, Lisbon and North, the most populated and urbanized regions. Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Characteristics and comparison of colorectal cancer incidence in Beijing with other regions in the world

PubMed Central

Li, Zhongmin; Yang, Lei; Du, Changzheng; Fang, Xuedong; Wang, Ning; Gu, Jin

2017-01-01

Background Population-based epidemiologic studies about colorectal cancer are lacking in China. This study aims to provide a basis for colorectal cancer screening and prevention, through analysis and comparisons the characteristics of the trends in colorectal cancer incidence in Beijing and selected representative regions. RESULTS The annual incidence rate in Beijing region increased significantly, from 9.40/100,000 in 1998 to 18.61/100,000 in 2012. The stratified rate showed that the incidence of distal colon adenocarcinoma increased substantially in men, especially in those aged > 75 years and residing in urban areas. Although the incidence rate in Beijing is still lower than in Shanghai, Jiashan, and Hong Kong in China, it is increasing rapidly. Further, the incidence rate in Beijing is lower than in New York, Oxford and Osaka, but higher than in Mumbai and Kyadondo. The incidence trend in Beijing is increasing especially in older groups, while in other regions such as New York, it is decreasing in these age groups. Materials and Methods Colorectal cancer incidence data were obtained from Beijing Cancer Registry and Cancer Incidence in Five Continents Plus database. All incidence rates were age-standardized according to Segi's world population. Incidence trends were characterized by calculating the annual percent changes using the Joinpoint Regression Program. Conclusions Compared with other regions, Beijing has a medium level of colorectal cancer incidence, however, it is increasing significantly. There are obvious differences in the cancer subsite, sex and age distributions between Beijing and other regions. Prevention and screening of colorectal cancer in Beijing should be strengthened. PMID:28445947

Characteristics and comparison of colorectal cancer incidence in Beijing with other regions in the world.

PubMed

Li, Zhongmin; Yang, Lei; Du, Changzheng; Fang, Xuedong; Wang, Ning; Gu, Jin

2017-04-11

Population-based epidemiologic studies about colorectal cancer are lacking in China. This study aims to provide a basis for colorectal cancer screening and prevention, through analysis and comparisons the characteristics of the trends in colorectal cancer incidence in Beijing and selected representative regions. The annual incidence rate in Beijing region increased significantly, from 9.40/100,000 in 1998 to 18.61/100,000 in 2012. The stratified rate showed that the incidence of distal colon adenocarcinoma increased substantially in men, especially in those aged > 75 years and residing in urban areas. Although the incidence rate in Beijing is still lower than in Shanghai, Jiashan, and Hong Kong in China, it is increasing rapidly. Further, the incidence rate in Beijing is lower than in New York, Oxford and Osaka, but higher than in Mumbai and Kyadondo. The incidence trend in Beijing is increasing especially in older groups, while in other regions such as New York, it is decreasing in these age groups. Colorectal cancer incidence data were obtained from Beijing Cancer Registry and Cancer Incidence in Five Continents Plus database. All incidence rates were age-standardized according to Segi's world population. Incidence trends were characterized by calculating the annual percent changes using the Joinpoint Regression Program. Compared with other regions, Beijing has a medium level of colorectal cancer incidence, however, it is increasing significantly. There are obvious differences in the cancer subsite, sex and age distributions between Beijing and other regions. Prevention and screening of colorectal cancer in Beijing should be strengthened.

The change points of HbA(1C) for detection of retinopathy in Chinese type 2 diabetic patients.

PubMed

Hou, Jia-Ning; Bi, Yu-Fang; Xu, Min; Huang, Yun; Li, Xiao-Ying; Wang, Wei-Qing; Chen, Yu-Hong; Ning, Guang

2011-03-01

To investigate the change points of HbA(1C) for detection of retinopathy in Chinese type 2 diabetic patients. This cross-sectional investigation included 992 diagnosed type 2 diabetic patients, who received non-mydriatic digital fundus photography examination. Joinpoint regression software was adopted to identify the change points of HbA(1C) in association with retinopathy prevalence. The mean age of all patients was 59.1 ± 8.4 years and the duration of diabetes was 5.5 (95% CI: 5.2-5.9) years. The prevalence of retinopathy was 10.3% in total, and 4.1%, 7.4% and 19.6% in patients with different diabetes duration of ≤ 5 years, 5-10 years and >10 years, respectively. The change point of HbA(1C) was 6.5% (95%CI 5.8-7.5%), at which retinopathy prevalence began to rise sharply. Furthermore, in subjects with diabetes duration ≤ 5 years, 5-10 years and >10 years, the change points of HbA(1C) were 8.1% (95%CI 7.9-8.3%), 6.1% (95%CI 5.7-6.8%), 5.6% (95%CI 5.1-8.1%) for detection of retinopathy, respectively. The steepest increase in retinopathy prevalence occurred when HbA(1C) reached 6.5%. However, the duration of diabetes should be taken into concern, when using the change points of HbA(1C) for detection of retinopathy in diabetic patients. Copyright © 2010 Elsevier Ireland Ltd. All rights reserved.

Has information on suicide methods provided via the Internet negatively impacted suicide rates?

PubMed Central

Mergl, Roland; Hegerl, Ulrich

2017-01-01

Suicide rates in Germany consistently decreased from 1991 to 2006, but this trend was reversed in 2007. Underlying this reversal were large increases in suicides due to gassing in females and in being overrun in males. During a similar time period (2005–2013), Asian and some Western countries have also observed abrupt increases in suicides due to certain gasses, and the availability of “how-to” information on the Internet about these painless methods of suicide is thought to play a role in their increased use. This study used data from the Federal Statistics Office of Germany to examine current trends in overall suicide mortality in Germany (2007–2015) as well by age, gender, and suicide methods. Also assessed was whether suicides via newly emergent methods are associated with the frequency of corresponding Internet searches using data from Google Trends. Joinpoint regression analyses indicated significant increases in the overall suicide rate (Average Annual Percentage Change (AAPC) = 2.37%) for females, but not males. The largest annual increases were observed in gassing self-intoxication suicides (AAPC = 13.93%), the majority of which involved carbon monoxide. The increase in gassing suicides was larger in females (500%), compared to males (164%). The frequency of suicides by gassing was significantly associated with Internet searches for “carbon monoxide poisoning” for both male and female subgroups, independent of age group. This study provides the updated suicide surveillance data that are necessary for suicide prevention activities. Results are congruent with the recent abrupt rises in carbon monoxide suicides in other countries. PMID:29284015

Trends in the incidence of lower limb amputation after implementation of a Multidisciplinary Diabetic Foot Unit.

PubMed

Jiménez, Sara; Rubio, José Antonio; Álvarez, Julia; Ruiz-Grande, Fernando; Medina, Carlos

2017-04-01

Incidence of lower extremity amputations (LEA) in the population with and without diabetes mellitus (DM) was assessed after implementation of a Multidisciplinary Diabetic Foot Unit (MDFU) during 2008. Non-traumatic LEA were analyzed, and those performed before (2001-2007) and after (2008-2014) introduction of the MDFU were compared. LEA were grouped by age and sex. Their incidence was expressed as a rate per 100,000 population per year, adjusted to the standard European population. A total of 664 LEA were performed during the 2001-2014 period, 486 (73%) of them in patients with DM. Total LEA incidence was 11.2/10 5 population in DM versus 3.9/10 5 in the population without DM. Incidence of major LEA in patients with DM significantly decreased from 6.1/10 5 population in the 2001-2007 period to 4.5/10 5 in the 2008-2014 period (p=.03). Joinpoint regression analysis also showed a reduction in the trend of incidence of major LEA in patients with DM, with an annual percentage change of -3.3% [95% CI, -6.2-0.3] (p=.025). No significant differences were found for all other incidences and trends in the diabetic and non-diabetic populations. Implementation of a MDFU has been shown to be associated with a significant reduction in major amputation rate in the diabetic population, although the results are not optimal yet. Both results and work at the MDFU should be improved. Copyright © 2017 SEEN. Publicado por Elsevier España, S.L.U. All rights reserved.

Child maltreatment in Taiwan for 2004-2013: A shift in age group and forms of maltreatment.

PubMed

Chen, Chih-Tsai; Yang, Nan-Ping; Chou, Pesus

2016-02-01

Cases of child maltreatment are being increasingly reported in Taiwan. However, the trend or changes of child maltreatment in Taiwan are fragmentary and lack empirical evidence. This study analyzed the epidemiological characteristics of substantiated child maltreatment cases from the previous decade, using mortality as an indicator to investigate the care of children who experienced substantiated maltreatment in the past to determine any new developments. Data for analysis and estimates were retrieved from the Department of Statistics in the Ministry of the Interior from 2004 to 2013. Trend analyses were conducted using the Joinpoint Regression Program. The child maltreatment rate in Taiwan was found to have nearly tripled from 2004 to 2013. A greater increase in the maltreatment of girls than boys and the maltreatment of aboriginal children than non-aboriginal children was noted from 2004 to 2013. When stratified by age group, the increase in maltreatment was most pronounced in children aged 12-17 years, and girls aged 12-17 years experienced the greatest increase in maltreatment. In terms of the proportional changes of different maltreatment forms among substantiated child maltreatment cases, child neglect was decreasing. The increase in sexual abuse was higher than for any other form of maltreatment and surpassed neglect by the end of 2013. Furthermore, the mortality rate of children with substantiated maltreatment record is increasing in Taiwan, whereas the mortality rate among children without any substantiated maltreatment record is decreasing. The results of this study highlight the need for policy reform in Taiwan regarding child maltreatment. Copyright © 2015 Elsevier Ltd. All rights reserved.

Has information on suicide methods provided via the Internet negatively impacted suicide rates?

PubMed

Paul, Elise; Mergl, Roland; Hegerl, Ulrich

2017-01-01

Suicide rates in Germany consistently decreased from 1991 to 2006, but this trend was reversed in 2007. Underlying this reversal were large increases in suicides due to gassing in females and in being overrun in males. During a similar time period (2005-2013), Asian and some Western countries have also observed abrupt increases in suicides due to certain gasses, and the availability of "how-to" information on the Internet about these painless methods of suicide is thought to play a role in their increased use. This study used data from the Federal Statistics Office of Germany to examine current trends in overall suicide mortality in Germany (2007-2015) as well by age, gender, and suicide methods. Also assessed was whether suicides via newly emergent methods are associated with the frequency of corresponding Internet searches using data from Google Trends. Joinpoint regression analyses indicated significant increases in the overall suicide rate (Average Annual Percentage Change (AAPC) = 2.37%) for females, but not males. The largest annual increases were observed in gassing self-intoxication suicides (AAPC = 13.93%), the majority of which involved carbon monoxide. The increase in gassing suicides was larger in females (500%), compared to males (164%). The frequency of suicides by gassing was significantly associated with Internet searches for "carbon monoxide poisoning" for both male and female subgroups, independent of age group. This study provides the updated suicide surveillance data that are necessary for suicide prevention activities. Results are congruent with the recent abrupt rises in carbon monoxide suicides in other countries.

The effect of multiple primary rules on cancer incidence rates and trends

PubMed Central

Weir, Hannah K.; Johnson, Christopher J.; Ward, Kevin C.; Coleman, Michel P.

2018-01-01

Purpose An examination of multiple primary cancers can provide insight into the etiologic role of genes, the environment, and prior cancer treatment on a cancer patient’s risk of developing a subsequent cancer. Different rules for registering multiple primary cancers (MP) are used by cancer registries throughout the world making data comparisons difficult. Methods We evaluated the effect of SEER and IARC/IACR rules on cancer incidence rates and trends using data from the SEER Program. We estimated age-standardized incidence rate (ASIR) and trends (1975–2011) for the top 26 cancer categories using joinpoint regression analysis. Results ASIRs were higher using SEER compared to IARC/IACR rules for all cancers combined (3 %) and, in rank order, melanoma (9 %), female breast (7 %), urinary bladder (6 %), colon (4 %), kidney and renal pelvis (4 %), oral cavity and pharynx (3 %), lung and bronchus (2 %), and non-Hodgkin lymphoma (2 %). ASIR differences were largest for patients aged 65+ years. Trends were similar using both MP rules with the exception of cancers of the urinary bladder, and kidney and renal pelvis. Conclusions The choice of multiple primary coding rules effects incidence rates and trends. Compared to SEER MP coding rules, IARC/IACR rules are less complex, have not changed over time, and report fewer multiple primary cancers, particularly cancers that occur in paired organs, at the same anatomic site and with the same or related histologic type. Cancer registries collecting incidence data using SEER rules may want to consider including incidence rates and trends using IARC/IACR rules to facilitate international data comparisons. PMID:26809509

Breast cancer in South-Eastern European countries since 2000: Rising incidence and decreasing mortality at young and middle ages.

PubMed

Dimitrova, Nadya; Znaor, Ariana; Agius, Dominic; Eser, Sultan; Sekerija, Mario; Ryzhov, Anton; Primic-Žakelj, Maja; Coebergh, Jan Willem

2017-09-01

Marked variations exist in the incidence and mortality trends of major cancers in South-Eastern European (SEE) countries which have now been detailed by age for breast cancer (BC) to seek clues for improvement. We brought together and analysed data from 14 cancer registries (CRs), situated in SEE countries or directly adjacent. Age-standardised rate at world standard (ASRw) and truncated incidence and mortality rates during 2000-2010 by year, and for four age groups, were calculated. Average annual percentage change of rates was estimated using Joinpoint regression. Annual incidence rates increased significantly in countries and age groups, by 2-4% (15-39 years), 2-5% (40-49), 1-4% (50-69) and 1-6% (at 70+). Mortality rates decreased significantly in all age-groups in most countries, but increased up to 5% annually above age 55 in Ukraine, Serbia, Moldova and Cyprus. The BC data quality was evaluated by internationally agreed indicators which appeared suboptimal for Moldova, Bosnia and Herzegovina and Romania. The observed variations of incidence trends reflect the influence of risk factors, as well as levels of early detection activities (screening). While mortality rates were mostly decreasing, probably due to improved cancer care and introduction of more effective systemic treatment regimens, the worrying increasing mortality trends in the 55-plus age groups in some countries have to be addressed by health professionals and policymakers. In order to assess and monitor the effects of cancer control activities in the region, the CRs need substantial investments. Copyright © 2017 Elsevier Ltd. All rights reserved.

Worldwide trends in gastric cancer mortality (1980-2011), with predictions to 2015, and incidence by subtype.

PubMed

Ferro, Ana; Peleteiro, Bárbara; Malvezzi, Matteo; Bosetti, Cristina; Bertuccio, Paola; Levi, Fabio; Negri, Eva; La Vecchia, Carlo; Lunet, Nuno

2014-05-01

Gastric cancer incidence and mortality decreased substantially over the last decades in most countries worldwide, with differences in the trends and distribution of the main topographies across regions. To monitor recent mortality trends (1980-2011) and to compute short-term predictions (2015) of gastric cancer mortality in selected countries worldwide, we analysed mortality data provided by the World Health Organization. We also analysed incidence of cardia and non-cardia cancers using data from Cancer Incidence in Five Continents (2003-2007). The joinpoint regression over the most recent calendar periods gave estimated annual percent changes (EAPC) around -3% for the European Union (EU) and major European countries, as well as in Japan and Korea, and around -2% in North America and major Latin American countries. In the United States of America (USA), EU and other major countries worldwide, the EAPC, however, were lower than in previous years. The predictions for 2015 show that a levelling off of rates is expected in the USA and a few other countries. The relative contribution of cardia and non-cardia gastric cancers to the overall number of cases varies widely, with a generally higher proportion of cardia cancers in countries with lower gastric cancer incidence and mortality rates (e.g. the USA, Canada and Denmark). Despite the favourable mortality trends worldwide, in some countries the declines are becoming less marked. There still is the need to control Helicobacter pylori infection and other risk factors, as well as to improve diagnosis and management, to further reduce the burden of gastric cancer. Copyright © 2014 Elsevier Ltd. All rights reserved.

Incidence and Trends in Hypoglycemia Hospitalization in Adults With Type 1 and Type 2 Diabetes in England, 1998-2013: A Retrospective Cohort Study.

PubMed

Zhong, Victor W; Juhaeri, Juhaeri; Cole, Stephen R; Kontopantelis, Evangelos; Shay, Christina M; Gordon-Larsen, Penny; Mayer-Davis, Elizabeth J

2017-12-01

To determine trends in hospitalization for hypoglycemia in adults with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in England. Adults with T1DM or T2DM were identified from 398 of the 684 practices within the Clinical Practice Research Datalink, for which linkage to the Hospital Episode Statistics was possible. Hypoglycemia as the primary reason for hospitalization between 1998 and 2013 was extracted. Trends were estimated using joinpoint regression models for adults with T1DM, young and middle-aged adults with T2DM (18-64 years), and elderly adults with T2DM (≥65 years), respectively. Among 23,246 adults with T1DM, 1,591 hypoglycemia hospitalizations occurred during 121,262 person-years. Among 241,441 adults with T2DM, 3,738 hypoglycemia hospitalizations occurred during 1,344,818 person-years. In adults with T1DM, the incidence increased 3.74% (95% CI 1.70-5.83) annually from 1998 to 2013. In young and middle-aged adults with T2DM, the annual incidence increase was 4.12% (0.61-7.75) from 1998 to 2013. In elderly adults with T2DM, the incidence increased 8.59% (5.76-11.50) annually from 1998 to 2009, and decreased 8.05% (-14.48 to -1.13) annually from 2009 to 2013, but the incidence was still higher in 2013 than 1998 (adjusted rate ratio 3.01 [1.76-5.14]). Trends in HbA 1c level did not parallel trends of hypoglycemia hospitalization for both diabetes types. A possible reason for declined hypoglycemia trend in 2009-2013 in elderly adults with T2DM may be continuously decreased sulfonylurea use after 2009, which was not seen in young and middle-aged adults with T2DM. Hypoglycemia requiring hospitalization has been an increasing burden in adults with T1DM and T2DM in England in the previous two decades, with the exception of the decline in elderly adults with T2DM starting in 2009. © 2017 by the American Diabetes Association.

Mortality and Case Fatality Due to Visceral Leishmaniasis in Brazil: A Nationwide Analysis of Epidemiology, Trends and Spatial Patterns

PubMed Central

Martins-Melo, Francisco Rogerlândio; Lima, Mauricélia da Silveira; Ramos, Alberto Novaes; Alencar, Carlos Henrique; Heukelbach, Jorg

2014-01-01

Background Visceral leishmaniasis (VL) is a significant public health problem in Brazil and several regions of the world. This study investigated the magnitude, temporal trends and spatial distribution of mortality related to VL in Brazil. Methods We performed a study based on secondary data obtained from the Brazilian Mortality Information System. We included all deaths in Brazil from 2000 to 2011, in which VL was recorded as cause of death. We present epidemiological characteristics, trend analysis of mortality and case fatality rates by joinpoint regression models, and spatial analysis using municipalities as geographical units of analysis. Results In the study period, 12,491,280 deaths were recorded in Brazil. VL was mentioned in 3,322 (0.03%) deaths. Average annual age-adjusted mortality rate was 0.15 deaths per 100,000 inhabitants and case fatality rate 8.1%. Highest mortality rates were observed in males (0.19 deaths/100,000 inhabitants), <1 year-olds (1.03 deaths/100,000 inhabitants) and residents in Northeast region (0.30 deaths/100,000 inhabitants). Highest case fatality rates were observed in males (8.8%), ≥70 year-olds (43.8%) and residents in South region (17.7%). Mortality and case fatality rates showed a significant increase in Brazil over the period, with different patterns between regions: increasing mortality rates in the North (Annual Percent Change – APC: 9.4%; 95% confidence interval – CI: 5.3 to 13.6), and Southeast (APC: 8.1%; 95% CI: 2.6 to 13.9); and increasing case fatality rates in the Northeast (APC: 4.0%; 95% CI: 0.8 to 7.4). Spatial analysis identified a major cluster of high mortality encompassing a wide geographic range in North and Northeast Brazil. Conclusions Despite ongoing control strategies, mortality related to VL in Brazil is increasing. Mortality and case fatality vary considerably between regions, and surveillance and control measures should be prioritized in high-risk clusters. Early diagnosis and treatment are fundamental strategies for reducing case fatality of VL in Brazil. PMID:24699517

Mortality Trends for Neglected Tropical Diseases in the State of Sergipe, Brazil, 1980-2013.

PubMed

Costa de Albuquerque, Marcos Antônio; Dias, Danielle Menezes; Vieira, Lucas Teixeira; Lima, Carlos Anselmo; da Silva, Angela Maria

2017-02-08

Neglected Tropical Diseases are a set of communicable diseases that affect the population so low socioeconomic status, particularly 1.4 billion people who are living below the poverty level. This study has investigated the magnitude and mortality time trends for these diseases in the state of Sergipe, Northeast Region of Brazil. We conducted an ecological study of time series, based on secondary data derived from the Mortality Information System of the Ministry of Health. The mortality rates (crude, age-standardized rates and proportional ratio) were calculated from the deaths due to Neglected Tropical Diseases in the state of Sergipe, from 1980 to 2013. The time trends were obtained using the Joinpoint regression model. Three hundred six thousand and eight hundred seventy-two deaths were certified in the state and Neglected Tropical Diseases were mentioned as the underlying cause in 1,203 certificates (0.39%). Mean number of deaths was 35.38 per year, and crude and age-standardized mortality rates were, respectively: 2.16 per 100 000 inhabitants (95% CI: 1.45-2.87) and 2.87 per 100 000 inhabitants (95% CI: 1.93-3.82); the proportional mortality ratio was 0.41% (95% CI: 0.27-0.54). In that period, Schistosomiasis caused 654 deaths (54.36%), followed by Chagas disease, with 211 (17.54%), and by Leishmaniases, with 142 (11.80%) deaths. The other diseases totalized 196 deaths (16.30%). There were increasing mortality trends for Neglected Tropical Diseases, Schistosomiasis and Chagas disease in the last 15 years, according to the age-standardized rates, and stability of the mortality trends for Leishmaniases. The Neglected Tropical Diseases show increasing trends and are a real public health problem in the state of Sergipe, since they are responsible for significant mortality rates. The following diseases call attention for showing greater number of deaths in the period of study: Schistosomiasis, Chagas disease and Leishmaniases. We finally suggest that public managers take appropriate actions to develop new strategies in epidemiological and therapeutic surveillance, and in the follow-up of these patients.

Trends in HIV testing, prevalence among first-time testers, and incidence in most-at-risk populations in Spain: the EPI-VIH Study, 2000 to 2009.

PubMed

Diez, M; Bleda, M J; Varela, J R; Ordonana, J; Azpiri, M A; Vall, M; Santos, C; Viloria, L; de Armas, C; Urena, J M; Trullen, J; Pueyo, I; Martinez, B; Puerta, T; Vera, M; Sanz, I; Junquera, M L; Landa, M C; Martinez, E; Camara, M M; Belda, J; Bru, F J; Diaz, A

2014-11-27

During 2000 to 2009, data on people undergoing HIV testing and on those newly diagnosed with HIV were collected in a network of 20 Spanish clinics specialising in sexually transmitted infections and/or HIV testing and counselling. The number of tests performed, overall and disaggregated by different variables, was obtained. HIV prevalence among first-time testers and HIV incidence among repeat testers were calculated. To evaluate trends, joinpoint regression models were fitted. In total, 236,939 HIV tests were performed for 165,745 individuals. Overall HIV prevalence among persons seeking HIV testing was 2.5% (95% CI: 2.4 to 2.6). Prevalence was highest in male sex workers who had sex with other men (19.0% (95% CI: 16.7 to 21.4)) and was lowest in female sex workers (0.8% (95% CI: 0.7 to 0.9)). Significant trends in prevalence were observed in men who have sex with men (MSM) (increasing) and heterosexual individuals (decreasing). The incidence analysis included 30,679 persons, 64,104 person-years (py) of follow-up and 642 seroconversions. The overall incidence rate (IR) was 1.0/100 py (95% CI: 0.9/100 to 1.1/100). Incidence was significantly higher in men and transgender females than in women (1.8/100 py (95% CI: 1.6 to 1.9), 1.2/100 py (95% CI: 0.5 to 2.8) and 0.1/100 py (95% CI: 0.09 to 0.2) respectively) and increased with age until 35–39 years. IRs in MSM and people who inject drugs were significantly greater than in heterosexual individuals (2.5/100 py (95% CI: 2.3 to 2.7), 1.6/100 py (95% CI: 1.1 to 2.2) and 0.1/100 py (95% CI: 0.09 to 0.2) respectively), and an upward trend was observed in MSM. Our results call for HIV prevention to be reinforced in MSM and transgender women in Spain.

European cancer mortality predictions for the year 2018 with focus on colorectal cancer.

PubMed

Malvezzi, M; Carioli, G; Bertuccio, P; Boffetta, P; Levi, F; La Vecchia, C; Negri, E

2018-04-01

We projected cancer mortality statistics for 2018 for the European Union (EU) and its six more populous countries, using the most recent available data. We focused on colorectal cancer. We obtained cancer death certification data from stomach, colorectum, pancreas, lung, breast, uterus, ovary, prostate, bladder, leukaemia, and total cancers from the World Health Organisation database and projected population data from Eurostat. We derived figures for France, Germany, Italy, Poland, Spain, the UK, and the EU in 1970-2012. We predicted death numbers by age group and age-standardized (world population) rates for 2018 through joinpoint regression models. EU total cancer mortality rates are predicted to decline by 10.3% in men between 2012 and 2018, reaching a predicted rate of 128.9/100 000, and by 5.0% in women with a rate of 83.6. The predicted total number of cancer deaths is 1 382 000 when compared with 1 333 362 in 2012 (+3.6%). We confirmed a further fall in male lung cancer, but an unfavourable trend in females, with a rate of 14.7/100 000 for 2018 (13.9 in 2012, +5.8%) and 94 500 expected deaths, higher than the rate of 13.7 and 92 700 deaths from breast cancer. Colorectal cancer predicted rates are 15.8/100 000 men (-6.7%) and 9.2 in women (-7.5%); declines are expected in all age groups. Pancreatic cancer is stable in men, but in women it rose +2.8% since 2012. Ovarian, uterine and bladder cancer rates are predicted to decline further. In 2018 alone, about 392 300 cancer deaths were avoided compared with peak rates in the late 1980s. We predicted continuing falls in mortality rates from major cancer sites in the EU and its major countries to 2018. Exceptions are pancreatic cancer and lung cancer in women. Improved treatment and-above age 50 years-organized screening may account for recent favourable colorectal cancer trends.

Treatment Utilization Among Adolescent Substance Users: Findings from the 2002 to 2013 National Survey on Drug Use and Health.

PubMed

Haughwout, Sarah P; Harford, Thomas C; Castle, I-Jen P; Grant, Bridget F

2016-08-01

Adolescent substance users face serious health and social consequences and benefit from early diagnosis and treatment. The objectives of this study were to observe trends in treatment utilization; examine correlates of treatment utilization and treatment types/settings among adolescent substance users with and without substance use disorder (SUD); and assess gender differences. National Survey on Drug Use and Health data were pooled across 2002 to 2013, with a combined sample of 79,885 past-year substance users ages 12 to 17 (17,510 with SUD and 62,375 without SUD). Treatment was defined as receiving treatment or counseling for use of alcohol or any drug, not counting cigarettes. Trends were assessed by joinpoint linear regression, and multivariable logistic regression assessed odds ratios of treatment utilization. Percentages of past-year treatment use did not change in 2002 to 2013. Treatment utilization was more prevalent among adolescents with SUD than without (11.4% vs. 1.4%) and among males than females. Among adolescents with and without SUD, criminal justice involvement and perceiving a need for treatment increased adolescent treatment utilization, while SUDs other than alcohol abuse, older age, and talking to parents increased treatment use among adolescents with SUD, and polysubstance use and male gender increased treatment among those without SUD. Treatment gaps persisted among non-Hispanic Blacks for both groups with and without SUD, male Hispanics with SUD, female non-Hispanic Asians without SUD, and private insurance coverages. Gender differences were observed in SUD, race/ethnicity, and insurance coverage. Most adolescents received treatment for both alcohol and drug use, and self-help group and outpatient rehabilitation facility were the most used treatment settings. Treatment utilization among adolescents with past-year substance use remained low and unimproved in 2002 to 2013. Treatment gaps among minority populations, insurance coverage, and in educating adolescents on seeking relevant treatment must be addressed. Using screening processes such as Screening, Brief Intervention, and Referral to Treatment, health professionals can help prevent lifelong SUD by recognizing and addressing substance misuse early. Copyright © 2016 by the Research Society on Alcoholism.

Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study.

PubMed

Ling, Rebecca; Lee, Joon

2016-10-12

Infodemiology can offer practical and feasible health research applications through the practice of studying information available on the Web. Google Trends provides publicly accessible information regarding search behaviors in a population, which may be studied and used for health campaign evaluation and disease monitoring. Additional studies examining the use and effectiveness of Google Trends for these purposes remain warranted. The objective of our study was to explore the use of infodemiology in the context of health campaign evaluation and chronic disease monitoring. It was hypothesized that following a launch of a campaign, there would be an increase in information seeking behavior on the Web. Second, increasing and decreasing disease patterns in a population would be associated with search activity patterns. This study examined 4 different diseases: human immunodeficiency virus (HIV) infection, stroke, colorectal cancer, and marijuana use. Using Google Trends, relative search volume data were collected throughout the period of February 2004 to January 2015. Campaign information and disease statistics were obtained from governmental publications. Search activity trends were graphed and assessed with disease trends and the campaign interval. Pearson product correlation statistics and joinpoint methodology analyses were used to determine significance. Disease patterns and online activity across all 4 diseases were significantly correlated: HIV infection (r=.36, P<.001), stroke (r=.40, P<.001), colorectal cancer (r= -.41, P<.001), and substance use (r=.64, P<.001). Visual inspection and the joinpoint analysis showed significant correlations for the campaigns on colorectal cancer and marijuana use in stimulating search activity. No significant correlations were observed for the campaigns on stroke and HIV regarding search activity. The use of infoveillance shows promise as an alternative and inexpensive solution to disease surveillance and health campaign evaluation. Further research is needed to understand Google Trends as a valid and reliable tool for health research.

Trends in gastrointestinal cancer incidence in Iran, 2001-2010: a joinpoint analysis

PubMed Central

Motlagh, Ali; Karimi Jaberi, Maryam

2016-01-01

OBJECTIVES The main purpose of this study was to evaluate changes in the time trends of stomach, colorectal, and esophageal cancer during the past decade in Iran. METHODS Cancer incidence data for the years 2001 to 2010 were obtained from the cancer registration of the Ministry of Health. All incidence rates were directly age-standardized to the world standard population. In order to identified significant changes in time trends, we performed a joinpoint analysis. The annual percent change (APC) for each segment of the trends was then calculated. RESULTS The incidence of stomach cancer increased from 4.18 and 2.41 per 100,000 population in men and women, respectively, in 2001 to 17.06 (APC, 16.7%) and 8.85 (APC, 16.2%) per 100,000 population in 2010 for men and women, respectively. The corresponding values for colorectal cancer were 2.12 and 2.00 per 100,000 population for men and women, respectively, in 2001 and 11.28 (APC, 20.0%) and 10.33 (APC, 20.0%) per 100,000 in 2010. For esophageal cancer, the corresponding increase was from 3.25 and 2.10 per 100,000 population in 2001 to 5.57 (APC, 12.0%) and 5.62 (APC, 11.2%) per 100,000 population among men and women, respectively. The incidence increased most rapidly for stomach cancer in men and women aged 80 years and older (APC, 23.7% for men; APC, 18.6% for women), for colorectal cancer in men aged 60 to 69 years (APC, 24.2%) and in women aged 50 to 59 years (APC, 25.1%), and for esophageal cancer in men and women aged 80 years and older (APC, 17.5% for men; APC,15.3% for women) over the period of the study. CONCLUSIONS The incidence of gastrointestinal cancer significantly increased during the past decade. Therefore, monitoring the trends of cancer incidence can assist efforts for cancer prevention and control. PMID:27923268

Decline in new psychoactive substance use disorders following legislation targeting headshops: Evidence from national addiction treatment data.

PubMed

Smyth, Bobby P; Lyons, Suzi; Cullen, Walter

2017-09-01

New psychoactive substances (NPS) have hedonic effects that may lead to dependence. Headshops selling NPS increased in number in Ireland from late 2009. Legislation was enacted in May and August of 2010 that caused their closure. It is unknown whether such events impact the rate of NPS use disorders. We conducted a population-based study using the Irish national database of episodes of addiction treatment between 2009 and 2012. We examined trends in the rate of NPS-related treatment episodes among young adults. Joinpoint trend analysis software was used to identify significant changes in trend. Of the 31 284 episodes of addiction treatment commenced by adults aged 18 to 34 years, 756 (2.4%) were NPS related. In 2012, the 12-month moving average rate had fallen 48% from its peak in 2010, from 9.0/100 000 to 4.7/100 000. Joinpoint analysis indicated that the rate of NPS related episodes increased by 218% (95% confidence interval 86 to 445, P = 0.001) every 4 months until the first third of 2010. From that point, the rate declined by 9.8% (95% confidence interval -14.1 to -5.4, P = 0.001) per 4-month period. There was no significant trend change in the rate of non-NPS related treatment episodes. Over the 2 years after the enactment of prohibition-styled legislation targeting NPS and headshops, the rate of NPS related addiction treatment episodes among young adults declined progressively and substantially. We found no coinciding trend change in the rate of episodes linked to other drug groups. [Smyth BP, Lyons S, Cullen W. Decline in new psychoactive substance use disorders following legislation targeting headshops: Evidence fromnational addiction treatment data. Drug Alcohol Rev 2017;00:000-000]. © 2017 Australasian Professional Society on Alcohol and other Drugs.

Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study

PubMed Central

2016-01-01

Background Infodemiology can offer practical and feasible health research applications through the practice of studying information available on the Web. Google Trends provides publicly accessible information regarding search behaviors in a population, which may be studied and used for health campaign evaluation and disease monitoring. Additional studies examining the use and effectiveness of Google Trends for these purposes remain warranted. Objective The objective of our study was to explore the use of infodemiology in the context of health campaign evaluation and chronic disease monitoring. It was hypothesized that following a launch of a campaign, there would be an increase in information seeking behavior on the Web. Second, increasing and decreasing disease patterns in a population would be associated with search activity patterns. This study examined 4 different diseases: human immunodeficiency virus (HIV) infection, stroke, colorectal cancer, and marijuana use. Methods Using Google Trends, relative search volume data were collected throughout the period of February 2004 to January 2015. Campaign information and disease statistics were obtained from governmental publications. Search activity trends were graphed and assessed with disease trends and the campaign interval. Pearson product correlation statistics and joinpoint methodology analyses were used to determine significance. Results Disease patterns and online activity across all 4 diseases were significantly correlated: HIV infection (r=.36, P<.001), stroke (r=.40, P<.001), colorectal cancer (r= −.41, P<.001), and substance use (r=.64, P<.001). Visual inspection and the joinpoint analysis showed significant correlations for the campaigns on colorectal cancer and marijuana use in stimulating search activity. No significant correlations were observed for the campaigns on stroke and HIV regarding search activity. Conclusions The use of infoveillance shows promise as an alternative and inexpensive solution to disease surveillance and health campaign evaluation. Further research is needed to understand Google Trends as a valid and reliable tool for health research. PMID:27733330

Internet search query analysis can be used to demonstrate the rapidly increasing public awareness of palliative care in the USA.

PubMed

McLean, Sarah; Lennon, Paul; Glare, Paul

2017-01-27

A lack of public awareness of palliative care (PC) has been identified as one of the main barriers to appropriate PC access. Internet search query analysis is a novel methodology, which has been effectively used in surveillance of infectious diseases, and can be used to monitor public awareness of health-related topics. We aimed to demonstrate the utility of internet search query analysis to evaluate changes in public awareness of PC in the USA between 2005 and 2015. Google Trends provides a referenced score for the popularity of a search term, for defined regions over defined time periods. The popularity of the search term 'palliative care' was measured monthly between 1/1/2005 and 31/12/2015 in the USA and in the UK. Results were analysed using independent t-tests and joinpoint analysis. The mean monthly popularity of the search term increased between 2008-2009 (p<0.001), 2011-2012 (p<0.001), 2013-2014 (p=0.004) and 2014-2015 (p=0.002) in the USA. Joinpoint analysis was used to evaluate the monthly percentage change (MPC) in the popularity of the search term. In the USA, the MPC increase was 0.6%/month (p<0.05); in the UK the MPC of 0.05% was non-significant. Although internet search query surveillance is a novel methodology, it is freely accessible and has significant potential to monitor health-seeking behaviour among the public. PC is rapidly growing in the USA, and the rapidly increasing public awareness of PC as demonstrated in this study, in comparison with the UK, where PC is relatively well established is encouraging in increasingly ensuring appropriate PC access for all. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/.

The impact of codeine re-scheduling on misuse: a retrospective review of calls to Australia's largest poisons centre.

PubMed

Cairns, Rose; Brown, Jared A; Buckley, Nicholas A

2016-10-01

Codeine is the most commonly used opioid in the world, and is available over the counter (OTC) in many countries, including Australia. Several countries are reconsidering codeine's OTC status due to concerns over addiction and misuse, with serious morbidity and mortality being reported. Australia's Therapeutic Goods Administration restricted codeine containing analgesics to 'Pharmacist Only' in 2010, and has recently been considering further up-scheduling to make codeine 'Prescription Only'. This paper estimated Australian trends of codeine misuse over the past 12 years, and examined whether trends changed following previous rescheduling efforts in 2010. A retrospective review of calls regarding codeine misuse made to the New South Wales Poisons Information Centre (NSWPIC, Australia's largest poisons centre), 2004-15. Joinpoint software was used to quantify the average annual change in calls, and whether there was a significant change in trend at any time, including following rescheduling. Australia. Four hundred patients about whom a call was made to the NSWPIC. Calls per year, patient age, gender, tablets taken per day, formulation used, symptom disposition. The NSWPIC database contained 400 cases of codeine combination analgesic misuse from 2004 to 2015. Joinpoint analysis showed that the frequency of cases increased significantly from 2004 to 2015, with an average annual percentage change (AAPC) of 19.5% [95% confidence interval (CI) = 13.8-25.5% P < 0.0001] for paracetamol/codeine and 17.9% (95% CI = 7.9-28.9%, P < 0.01) for ibuprofen/codeine. No significant change in trend was seen at any time, including following 2010 rescheduling. The median age of patients was 34 and 27 years for paracetamol/codeine and ibuprofen/codeine cases, respectively. Gender distribution was approximately equal. Clinical features reported were consistent with codeine, paracetamol and ibuprofen toxicity. Misuse of codeine combination products appears to be increasing in Australia. Limited rescheduling in 2010 failed to curb this increase. © 2016 Society for the Study of Addiction.

Trends in stroke hospitalisation rates in Extremadura between 2002 and 2014: Changing the notion of stroke as a disease of the elderly.

PubMed

Ramírez-Moreno, J M; Felix-Redondo, F J; Fernández-Bergés, D; Lozano-Mera, L

2016-10-21

The incidence of stroke in Spain has been evaluated in several studies, whose results are highly variable and not comparable. No studies of stroke have analysed epidemiological changes in younger patients. We conducted a retrospective observational study using the Spanish health system's Minimum Data Set and included all patients older than 19 hospitalised due to stroke (ICD-9-CM codes 434.01, 434.11, 434.91, 430, 431, 432.9, 436, and 435) between 2002 and 2013. The analysis was performed using joinpoint regression. A total of 39,321 patients were identified (47.25% were women); 3.73% were aged 20-44, 6.29% were 45-54, 11.49% were 55-64, 23.89% were 65-74, and 54.60% were > 74 years. The hospitalisation rate due to ischaemic stroke has increased significantly in men aged 45-54 (+6.7%; 95% CI, 3.3-10.2) and in women aged 20-44 and 45-54 (+6.1%; 95% CI, 0.8-11.7 and +5.7%; 95% CI, 3.0-8.4, respectively). We also observed a significant increase in the rate of hospitalisation due to ischaemic stroke in men aged over 74 (+4.2%; 95% CI, 1.3-7.2). The rate of hospitalisations due to transient ischaemic attack has also increased significantly whereas the rate of hospitalisations due to brain haemorrhage has stabilised over time. Our results provide indirect evidence that the epidemiological profile of stroke is changing based on the increase in hospitalisation rates in young adults. Copyright © 2016 Sociedad Española de Neurología. Publicado por Elsevier España, S.L.U. All rights reserved.

Descriptive Analysis on the Impacts of Universal Zero-Markup Drug Policy on a Chinese Urban Tertiary Hospital

PubMed Central

Yang, Dong

2016-01-01

Background Universal Zero-Markup Drug Policy (UZMDP) mandates no price mark-ups on any drug dispensed by a healthcare institution, and covers the medicines not included in the China’s National Essential Medicine System. Five tertiary hospitals in Beijing, China implemented UZMDP in 2012. Its impacts on these hospitals are unknown. We described the effects of UZMDP on a participating hospital, Jishuitan Hospital, Beijing, China (JST). Methods This retrospective longitudinal study examined the hospital-level data of JST and city-level data of tertiary hospitals of Beijing, China (BJT) 2009–2015. Rank-sum tests and join-point regression analyses were used to assess absolute changes and differences in trends, respectively. Results In absolute terms, after the UZDMP implementation, there were increased annual patient-visits and decreased ratios of medicine-to-healthcare-charges (RMOH) in JST outpatient and inpatient services; however, in outpatient service, physician work-days decreased and physician-workload and inflation-adjusted per-visit healthcare charges increased, while the inpatient physician work-days increased and inpatient mortality-rate reduced. Interestingly, the decreasing trend in inpatient mortality-rate was neutralized after UZDMP implementation. Compared with BJT and under influence of UZDMP, JST outpatient and inpatient services both had increasing trends in annual patient-visits (annual percentage changes[APC] = 8.1% and 6.5%, respectively) and decreasing trends in RMOH (APC = -4.3% and -5.4%, respectively), while JST outpatient services had increasing trend in inflation-adjusted per-visit healthcare charges (APC = 3.4%) and JST inpatient service had decreasing trend in inflation-adjusted per-visit medicine-charges (APC = -5.2%). Conclusion Implementation of UZMDP seems to increase annual patient-visits, reduce RMOH and have different impacts on outpatient and inpatient services in a Chinese urban tertiary hospital. PMID:27627811

Firearm injuries in the United States.

PubMed

Fowler, Katherine A; Dahlberg, Linda L; Haileyesus, Tadesse; Annest, Joseph L

2015-10-01

This paper examines the epidemiology of fatal and nonfatal firearm violence in the United States. Trends over two decades in homicide, assault, self-directed and unintentional firearm injuries are described along with current demographic characteristics of victimization and health impact. Fatal firearm injury data were obtained from the National Vital Statistics System (NVSS). Nonfatal firearm injury data were obtained from the National Electronic Injury Surveillance System (NEISS). Trends were tested using Joinpoint regression analyses. CDC Cost of Injury modules were used to estimate costs associated with firearm deaths and injuries. More than 32,000 persons die and over 67,000 persons are injured by firearms each year. Case fatality rates are highest for self-harm related firearm injuries, followed by assault-related injuries. Males, racial/ethnic minority populations, and young Americans (with the exception of firearm suicide) are disproportionately affected. The severity of such injuries is distributed relatively evenly across outcomes from outpatient treatment to hospitalization to death. Firearm injuries result in over $48 billion in medical and work loss costs annually, particularly fatal firearm injuries. From 1993 to 1999, rates of firearm violence declined significantly. Declines were seen in both fatal and nonfatal firearm violence and across all types of intent. While unintentional firearm deaths continued to decline from 2000 to 2012, firearm suicides increased and nonfatal firearm assaults increased to their highest level since 1995. Firearm injuries are an important public health problem in the United States, contributing substantially each year to premature death, illness, and disability. Understanding the nature and impact of the problem is only a first step toward preventing firearm violence. A science-driven approach to understand risk and protective factors and identify effective solutions is key to achieving measurable reductions in firearm violence. Published by Elsevier Inc.

Recent trends in breast cancer incidence in US white women by county-level urban/rural and poverty status.

PubMed

Hausauer, Amelia K; Keegan, Theresa H M; Chang, Ellen T; Glaser, Sally L; Howe, Holly; Clarke, Christina A

2009-06-26

Unprecedented declines in invasive breast cancer rates occurred in the United States between 2001 and 2004, particularly for estrogen receptor-positive tumors among non-Hispanic white women over 50 years. To understand the broader public health import of these reductions among previously unstudied populations, we utilized the largest available US cancer registry resource to describe age-adjusted invasive and in situ breast cancer incidence trends for non-Hispanic white women aged 50 to 74 years overall and by county-level rural/urban and poverty status. We obtained invasive and in situ breast cancer incidence data for the years 1997 to 2004 from 29 population-based cancer registries participating in the North American Association of Central Cancer Registries resource. Annual age-adjusted rates were examined overall and by rural/urban and poverty of patients' counties of residence at diagnosis. Joinpoint regression was used to assess trends by annual quarter of diagnosis. Between 2001 and 2004, overall invasive breast cancer incidence fell 13.2%, with greater reductions among women living in urban (-13.8%) versus rural (-7.5%) and low- (-13.0%) or middle- (-13.8%) versus high- (-9.6%) poverty counties. Most incidence rates peaked around 1999 then declined after second quarter 2002, although in rural counties, rates decreased monotonically after 1999. Similar but more attenuated patterns were seen for in situ cancers. Breast cancer rates fell more substantially in urban and low-poverty, affluent counties than in rural or high-poverty counties. These patterns likely reflect a major influence of reductions in hormone therapy use after July 2002 but cannot exclude possible effects due to screening patterns, particularly among rural populations where hormone therapy use was probably less prevalent.

Dialysis for end stage renal disease financed through the Brazilian National Health System, 2000 to 2012

PubMed Central

2014-01-01

Background Chronic kidney disease has become a public health problem worldwide. Its terminal stage requires renal replacement therapy – dialysis or transplantation – for the maintenance of life, resulting in high economic and social costs. Though the number of patients with end-stage renal disease treated by dialysis in Brazil is among the highest in the world, current estimates of incidence and prevalence are imprecise. Our aim is to describe incidence and prevalence trends and the epidemiologic profile of end-stage renal disease patients receiving publically-financed dialysis in Brazil between 2000 and 2012. Methods We internally linked records of the High Complexity Procedure Authorization/Renal Replacement Therapy (APAC/TRS) system so as to permit analyses of incidence and prevalence of dialysis over the period 2000-2012. We characterized temporal variations in the incidence and prevalence using Joinpoint regression. Results Over the period, 280,667 patients received publically-financed dialysis, 57.2% of these being male. The underlying disease causes listed were hypertension (20.8%), diabetes (12.0%) and glomerulonephritis (7.7%); for 42.3%, no specific cause was recorded. Hemodialysis was the therapeutic modality in 90.1%. Over this period, prevalence increased 47%, rising 3.6% (95% CI 3.2% - 4.0%)/year. Incidence increased 20%, or 1.8% (1.1% – 2.5%)/year. Incidence increased in both sexes, in all regions of the country and particularly in older age groups. Conclusions Incidence and prevalence of end-stage renal disease receiving publically-financed dialysis treatment has increased notably. The linkage approach developed will permit continuous future monitoring of these indicators. PMID:25008169

Is Patient Safety Improving? National Trends in Patient Safety Indicators: 1998–2007

PubMed Central

Downey, John R; Hernandez-Boussard, Tina; Banka, Gaurav; Morton, John M

2012-01-01

Context Emphasis has been placed on quality and patient safety in medicine; however, little is known about whether quality over time has actually improved in areas such as patient safety indicators (PSIs). Objective To determine whether national trends for hospital PSIs have improved from 1998 to 2007. Design, Setting, and Participants Using PSI criteria from the Agency for Healthcare Research and Quality, PSIs were identified in the Nationwide Inpatient Sample (NIS) for all eligible inpatient admissions between 1998 and 2007. Joinpoint regression was used to estimate annual percentage changes (APCs) for PSIs. Main Outcome Measure Annual percent change for PSIs. Results From 1998 to 2007, 7.6 million PSI events occurred for over 69 million hospitalizations. A total of 14 PSIs showed statistically significant trends. Seven PSIs had increasing APC: postoperative pulmonary embolism or deep vein thrombosis (8.94), postoperative physiological or metabolic derangement (7.67), postoperative sepsis (7.17), selected infections due to medical care (4.05), decubitus ulcer (3.05), accidental puncture or laceration (2.64), and postoperative respiratory failure (1.46). Seven PSIs showed decreasing APCs: birth trauma injury to neonate (−17.79), failure to rescue (−6.05), postoperative hip fracture (−5.86), obstetric trauma–vaginal without instrument (−5.69), obstetric trauma–vaginal with instrument (−4.11), iatrogenic pneumothorax (−2.5), and postoperative wound dehiscence (−1.8). Conclusion This is the first study to establish national trends of PSIs during the past decade indicating areas for potential quality improvement prioritization. While many factors influence these trends, the results indicate opportunities for either emulation or elimination of current patient safety trends. PMID:22150789

Geographic variation in trends and characteristics of teen childbearing among American Indians and Alaska Natives, 1990-2007.

PubMed

Wingo, Phyllis A; Lesesne, Catherine A; Smith, Ruben A; de Ravello, Lori; Espey, David K; Arambula Solomon, Teshia G; Tucker, Myra; Thierry, Judith

2012-12-01

To study teen birth rates, trends, and socio-demographic and pregnancy characteristics of AI/AN across geographic regions in the US. The birth rate for US teenagers 15-19 years reached a historic low in 2009 (39.1 per 1,000) and yet remains one of the highest teen birth rates among industrialized nations. In the US, teen birth rates among Hispanic, non-Hispanic black, and American Indian/Alaska Native (AI/AN) youth are consistently two to three times the rate among non-Hispanic white teens. Birth certificate data for females younger than age 20 were used to calculate birth rates (live births per 1,000 women) and joinpoint regression to describe trends in teen birth rates by age (<15, 15-17, 18-19) and region (Aberdeen, Alaska, Bemidji, Billings, California, Nashville, Oklahoma, Portland, Southwest). Birth rates for AI/AN teens varied across geographic regions. Among 15-19-year-old AI/AN, rates ranged from 24.35 (California) to 123.24 (Aberdeen). AI/AN teen birth rates declined from the early 1990s into the 2000s for all three age groups. Among 15-17-year-olds, trends were approximately level during the early 2000s-2007 in six regions and declined in the others. Among 18-19-year-olds, trends were significantly increasing during the early 2000s-2007 in three regions, significantly decreasing in one, and were level in the remaining regions. Among AI/AN, cesarean section rates were lower in Alaska (4.1%) than in other regions (16.4-26.6%). This is the first national study to describe regional variation in AI/AN teen birth rates. These data may be used to target limited resources for teen pregnancy intervention programs and guide research.

Pneumonia Mortality in Children Aged <5 Years in 56 Countries: A Retrospective Analysis of Trends from 1960 to 2012.

PubMed

Wu, Jie; Yang, Shigui; Cao, Qing; Ding, Cheng; Cui, Yuanxia; Zhou, Yuqing; Li, Yiping; Deng, Min; Wang, Chencheng; Xu, Kaijin; Ruan, Bing; Li, Lanjuan

2017-10-30

Pneumonia is now the second leading cause of death for children aged <5 years worldwide. However, analyses of the long-term evolution of under-5 mortality from pneumonia are still scarce in the literature. We aimed to explore long-term trends of under-5 mortality from pneumonia in 56 countries from 1960 to 2012. Data on under-5 mortality from pneumonia were extracted from the World Health Organization mortality database. Long-term trends were assessed for 56 countries and for 4 national income transition groups. We also used joinpoint regression analysis to detect distinct period segments of long-term trends and estimate the annual percent of changes of each period segment. The average mortality rate from pneumonia for children aged 0-4 years in 56 countries declined from 163.0 per 100000 children (95% confidence interval [CI], 119.4 to 212.8) in 1960 to 9.9 per 100000 children (95% CI, 6.4 to 13.4) in 2012, with an average annual percent of change of -5.6% (95% CI, -7.2% to -3.9%). The temporal trends of childhood mortality were different between national income transition groups. Our findings suggest a striking overall downward trend in under-5 mortality from pneumonia between 1960 and 2012. However, the rate and absolute terms of decline differ by national income transition group. These variable patterns between national income transition groups may inform further intervention setting and priority setting. © The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com.

Association of A1C and Fasting Plasma Glucose Levels With Diabetic Retinopathy Prevalence in the U.S. Population

PubMed Central

Cheng, Yiling J.; Gregg, Edward W.; Geiss, Linda S.; Imperatore, Giuseppina; Williams, Desmond E.; Zhang, Xinzhi; Albright, Ann L.; Cowie, Catherine C.; Klein, Ronald; Saaddine, Jinan B.

2009-01-01

OBJECTIVE To examine the association of A1C levels and fasting plasma glucose (FPG) with diabetic retinopathy in the U.S. population and to compare the ability of the two glycemic measures to discriminate between people with and without retinopathy. RESEARCH DESIGN AND METHODS This study included 1,066 individuals aged ≥40 years from the 2005–2006 National Health and Nutrition Examination Survey. A1C, FPG, and 45° color digital retinal images were assessed. Retinopathy was defined as a level ≥14 on the Early Treatment Diabetic Retinopathy Study severity scale. We used joinpoint regression to identify linear inflections of prevalence of retinopathy in the association between A1C and FPG. RESULTS The overall prevalence of retinopathy was 11%, which is appreciably lower than the prevalence in people with diagnosed diabetes (36%). There was a sharp increase in retinopathy prevalence in those with A1C ≥5.5% or FPG ≥5.8 mmol/l. After excluding 144 people using hypoglycemic medication, the change points for the greatest increase in retinopathy prevalence were A1C 5.5% and FPG 7.0 mmol/l. The coefficients of variation were 15.6 for A1C and 28.8 for FPG. Based on the areas under the receiver operating characteristic curves, A1C was a stronger discriminator of retinopathy (0.71 [95% CI 0.66–0.76]) than FPG (0.65 [0.60 – 0.70], P for difference = 0.009). CONCLUSIONS The steepest increase in retinopathy prevalence occurs among individuals with A1C ≥5.5% and FPG ≥5.8 mmol/l. A1C discriminates prevalence of retinopathy better than FPG. PMID:19875604

Brief Report: Rheumatoid Arthritis as the Underlying Cause of Death in Thirty-One Countries, 1987-2011: Trend Analysis of World Health Organization Mortality Database.

PubMed

Kiadaliri, Aliasghar A; Felson, David T; Neogi, Tuhina; Englund, Martin

2017-08-01

To examine trends in rheumatoid arthritis (RA) as an underlying cause of death (UCD) in 31 countries across the world from 1987 to 2011. Data on mortality and population were collected from the World Health Organization mortality database and from the United Nations Population Prospects database. Age-standardized mortality rates (ASMRs) were calculated by means of direct standardization. We applied joinpoint regression analysis to identify trends. Between-country disparities were examined using between-country variance and the Gini coefficient. Due to low numbers of deaths, we smoothed the ASMRs using a 3-year moving average. Changes in the number of RA deaths between 1987 and 2011 were decomposed using 2 counterfactual scenarios. The absolute number of deaths with RA registered as the UCD decreased from 9,281 (0.12% of all-cause deaths) in 1987 to 8,428 (0.09% of all-cause deaths) in 2011. The mean ASMR decreased from 7.1 million person-years in 1987-1989 to 3.7 million person-years in 2009-2011 (48.2% reduction). A reduction of ≥25% in the ASMR occurred in 21 countries, while a corresponding increase was observed in 3 countries. There was a persistent reduction in RA mortality, and on average, the ASMR declined by 3.0% per year. The absolute and relative between-country disparities decreased during the study period. The rates of mortality attributable to RA have declined globally. However, we observed substantial between-country disparities in RA mortality, although these disparities decreased over time. Population aging combined with a decline in RA mortality may lead to an increase in the economic burden of disease that should be taken into consideration in policy-making. © 2017, American College of Rheumatology.

The Trends in Cardiovascular Diseases and Respiratory Diseases Mortality in Urban and Rural China, 1990-2015.

PubMed

Sun, Weiwei; Zhou, Yun; Zhang, Zhuang; Cao, Limin; Chen, Weihong

2017-11-15

With the rapid development of the economy over the past 20 years, the mortality rates from cardiovascular diseases (CVDs) and respiratory diseases (RDs) have changed in China. This study aimed to analyze the trends of mortality rates and years of life lost (YLLs) from CVDs and RDs in the rural and urban population from 1990 to 2015. Using data from Chinese yearbooks, joinpoint regression analysis was employed to estimate the annual percent change (APC) of mortality rates from CVDs and RDs. YLLs due to CVDs and RDs were calculated by a standard method, adopting recommended standard life expectancy at birth values of 80 years for men and 82.5 years for women. Age-standardized mortality rates and YLL rates were calculated by using the direct method based on the Chinese population from the sixth population census of 2010. Age-standardized mortality rates from CVDs for urban residents and from RDs for both urban and rural residents showed decreasing trends in China from 1990 to 2015. Age-standardized mortality rates from CVDs among rural residents remained constant during above period and outstripped those among urban residents gradually. The age-standardized YLL rates of CVDs for urban and rural residents decreased 35.2% and 8.3% respectively. Additionally, the age-standardized YLL rates of RDs for urban and rural residents decreased 64.2% and 79.0% respectively. The age-standardized mortality and YLL rates from CVDs and RDs gradually decreased in China from 1990 to 2015. We observed more substantial declines of the mortality rates from CVDs in urban areas and from RDs in rural areas.

Decreases in Smoking-Related Cancer Mortality Rates Are Associated with Birth Cohort Effects in Korean Men.

PubMed

Jee, Yon Ho; Shin, Aesun; Lee, Jong-Keun; Oh, Chang-Mo

2016-12-05

Background: This study aimed to examine trends in smoking-related cancer mortality rates and to investigate the effect birth cohort on smoking-related cancer mortality in Korean men. Methods: The number of smoking-related cancer deaths and corresponding population numbers were obtained from Statistics Korea for the period 1984-2013. Joinpoint regression analysis was used to detect changes in trends in age-standardized mortality rates. Birth-cohort specific mortality rates were illustrated by 5 year age groups. Results: The age-standardized mortality rates for oropharyngeal decreased from 2003 to 2013 (annual percent change (APC): -3.1 (95% CI, -4.6 to -1.6)) and lung cancers decreased from 2002 to 2013 (APC -2.4 (95% CI -2.7 to -2.2)). The mortality rates for esophageal declined from 1994 to 2002 (APC -2.5 (95% CI -4.1 to -0.8)) and from 2002 to 2013 (APC -5.2 (95% CI -5.7 to -4.7)) and laryngeal cancer declined from 1995 to 2013 (average annual percent change (AAPC): -3.3 (95% CI -4.7 to -1.8)). By the age group, the trends for the smoking-related cancer mortality except for oropharyngeal cancer have changed earlier to decrease in the younger age group. The birth-cohort specific mortality rates and age-period-cohort analysis consistently showed that all birth cohorts born after 1930 showed reduced mortality of smoking-related cancers. Conclusions: In Korean men, smoking-related cancer mortality rates have decreased. Our findings also indicate that current decreases in smoking-related cancer mortality rates have mainly been due to a decrease in the birth cohort effect, which suggest that decrease in smoking rates.

Incidence, Trends and Ethnic Differences of Oropharyngeal, Anal and Cervical Cancers: Singapore, 1968-2012

PubMed Central

Lam, Jennifer O.; Lim, Wei-Yen; Chow, Khuan-Yew; D’Souza, Gypsyamber

2015-01-01

In recent decades, several Western countries have reported an increase in oropharyngeal and anal cancers caused by human papillomavirus (HPV). Trends in HPV-associated cancers in Asia have not been as well described. We describe the epidemiology of potentially HPV-related cancers reported to the Singapore Cancer Registry from 1968–2012. Analysis included 998 oropharyngeal squamous cell carcinoma (OPSCC), 183 anal squamous cell carcinoma (ASCC) and 8,019 invasive cervical cancer (ICC) cases. Additionally, 368 anal non-squamous cell carcinoma (ANSCC) and 2,018 non-oropharyngeal head and neck carcinoma (non-OP HNC) cases were included as comparators. Age-standardized incidence rates (ASR) were determined by gender and ethnicity (Chinese, Malay and Indian). Joinpoint regression was used to evaluate annual percentage change (APC) in incidence. OPSCC incidence increased in both genders (men 1993–2012, APC = 1.9%, p<0.001; women 1968–2012, APC = 2.0%, p = 0.01) and was 5 times higher in men than women. In contrast, non-OP HNC incidence declined between 1968–2012 among men (APC = -1.6%, p<0.001) and women (APC = -0.4%, p = 0.06). ASCC and ANSCC were rare (ASR = 0.2 and 0.7 per 100,000 person-years, respectively) and did not change significantly over time except for increasing ANSCCs in men (APC = 2.8%, p<0.001). ICC was the most common HPV-associated cancer (ASR = 19.9 per 100,000 person-years) but declined significantly between 1968–2012 (APC = -2.4%). Incidence of each cancer varied across ethnicities. Similar to trends in Western countries, OPSCC incidence increased in recent years, while non-OP HNC decreased. ICC remains the most common HPV-related cancer in Singapore, but Pap screening programs have led to consistently decreasing incidence. PMID:26720001

Decreases in Smoking-Related Cancer Mortality Rates Are Associated with Birth Cohort Effects in Korean Men

PubMed Central

Jee, Yon Ho; Shin, Aesun; Lee, Jong-Keun; Oh, Chang-Mo

2016-01-01

Background: This study aimed to examine trends in smoking-related cancer mortality rates and to investigate the effect birth cohort on smoking-related cancer mortality in Korean men. Methods: The number of smoking-related cancer deaths and corresponding population numbers were obtained from Statistics Korea for the period 1984–2013. Joinpoint regression analysis was used to detect changes in trends in age-standardized mortality rates. Birth-cohort specific mortality rates were illustrated by 5 year age groups. Results: The age-standardized mortality rates for oropharyngeal decreased from 2003 to 2013 (annual percent change (APC): −3.1 (95% CI, −4.6 to −1.6)) and lung cancers decreased from 2002 to 2013 (APC −2.4 (95% CI −2.7 to −2.2)). The mortality rates for esophageal declined from 1994 to 2002 (APC −2.5 (95% CI −4.1 to −0.8)) and from 2002 to 2013 (APC −5.2 (95% CI −5.7 to −4.7)) and laryngeal cancer declined from 1995 to 2013 (average annual percent change (AAPC): −3.3 (95% CI −4.7 to −1.8)). By the age group, the trends for the smoking-related cancer mortality except for oropharyngeal cancer have changed earlier to decrease in the younger age group. The birth-cohort specific mortality rates and age-period-cohort analysis consistently showed that all birth cohorts born after 1930 showed reduced mortality of smoking-related cancers. Conclusions: In Korean men, smoking-related cancer mortality rates have decreased. Our findings also indicate that current decreases in smoking-related cancer mortality rates have mainly been due to a decrease in the birth cohort effect, which suggest that decrease in smoking rates. PMID:27929405

Using Hashimoto thyroiditis as gold standard to determine the upper limit value of thyroid stimulating hormone in a Chinese cohort.

PubMed

Li, Yu; Chen, Dong-Ning; Cui, Jing; Xin, Zhong; Yang, Guang-Ran; Niu, Ming-Jia; Yang, Jin-Kui

2016-11-06

Subclinical hypothyroidism, commonly caused by Hashimoto thyroiditis (HT), is a risk factor for cardiovascular diseases. This disorder is defined as merely having elevated serum thyroid stimulating hormone (TSH) levels. However, the upper limit of reference range for TSH is debated recently. This study was to determine the cutoff value for the upper normal limit of TSH in a cohort using the prevalence of Hashimoto thyroiditis as "gold" calibration standard. The research population was medical staff of 2856 individuals who took part in health examination annually. Serum free triiodothyronine (FT3), free thyroxine (FT4), TSH, thyroid peroxidase antibody (TPAb), thyroglobulin antibody (TGAb) and other biochemistry parameters were tested. Meanwhile, thyroid ultrasound examination was performed. The diagnosis of HT was based on presence of thyroid antibodies (TPAb and TGAb) and abnormalities of thyroid ultrasound examination. We used two different methods to estimate the cutoff point of TSH based on the prevalence of HT. Joinpoint regression showed the prevalence of HT increased significantly at the ninth decile of TSH value corresponding to 2.9 mU/L. ROC curve showed a TSH cutoff value of 2.6 mU/L with the maximized sensitivity and specificity in identifying HT. Using the newly defined cutoff value of TSH can detect patients with hyperlipidemia more efficiently, which may indicate our approach to define the upper limit of TSH can make more sense from the clinical point of view. A significant increase in the prevalence of HT occurred among individuals with a TSH of 2.6-2.9 mU/L made it possible to determine the cutoff value of normal upper limit of TSH.

The effectiveness of national guidance in changing analgesic prescribing in primary care from 2002 to 2009: An observational database study

PubMed Central

Bedson, J; Belcher, J; Martino, OI; Ndlovu, M; Rathod, T; Walters, K; Dunn, KM; Jordan, KP

2013-01-01

Background Numerous national guidelines have been issued to assist general practitioners’ safe analgesic prescribing. Their effectiveness is unclear. The objective of this study was to examine trends in general practitioners’ prescribing behaviour in relation to national guidelines. Methods This was a retrospective observational database study of registered adult patients prescribed an analgesic (2002–2009) from the Consultations in Primary Care Archive – 12 North Staffordshire general practices. Prescribing guidance from the UK Medicines Regulatory Health Authority (MHRA) regarding non-steroidal anti-inflammatory drugs (NSAIDs) and co-proxamol, and the National Institute for Health and Clinical Excellence (NICE) osteoarthritis (OA) management guidelines were considered. Analgesic prescribing rates were examined, arranged according to a classification of six equipotent medication groups: (1) basic analgesics; (2)–(5) increasingly potent opioids and (6) NSAIDs. In each quarter from 2002 to 2009, the number of patients per 10,000 registered population receiving a prescription for the first time from each group was determined. Quarters associated with significant changes in the underlying prescribing trend were determined using joinpoint regression. Results A significant decrease in incident co-proxamol and Cox-2 prescribing occurred around the time of the first MHRA advice to stop using them and were rarely prescribed thereafter. The new prescribing of weak analgesics (e.g., co-codamol 8/500) increased at this same time. Initiating topical NSAIDs significantly increased around the time of the NICE OA guidelines. Conclusions Significant prescribing changes occurred when national advice and guidelines were issued. The effectiveness of this advice may vary depending upon the content and method of dissemination. Further evaluation of the optimal methods for delivering prescribing guidance is required. PMID:22865816

The International Epidemiology of Lung Cancer: Latest Trends, Disparities, and Tumor Characteristics

PubMed Central

Cheng, Ting-Yuan David; Cramb, Susanna M.; Baade, Peter D.; Youlden, Danny R.; Nwogu, Chukwumere; Reid, Mary E.

2017-01-01

Introduction We aim to update global lung cancer epidemiology and describe changing trends and disparities. Methods We presented country-specific incidence and mortality from GLOBOCAN 2012, by region and socioeconomic factors via the Human Development Index (HDI). Between- and within-country incidence by histological type was analyzed from Cancer Incidence in Five Continents Volume X (IARC). Trend analyses including the IARC data, cancer registries, and the WHO Mortality database were conducted using Joinpoint regression. Survival was compared between and within countries, and by histology. Results In 2012, there were 1.82 and 1.59 million new cases and deaths of lung cancer worldwide, respectively. Incidence was highest in very high HDI countries and lowest in low HDI countries (42.2 vs. 7.9/100,000 for males and 21.8 vs. 3.1/100,000 for females, respectively). In most countries with a very high HDI, as male incidence decreased gradually (ranging from −0.3% in Spain to −2.5% in the USA each year), female incidence continued to increase (by 1.4% each year in Australia to 6.1% in recent years in Spain). While histology varied between countries, adenocarcinoma was more common than squamous cell carcinoma, particularly among females (e.g., in Chinese females, the adenocarcinoma-to-squamous cell carcinoma ratio=6.6). Five-year relative survival varied from 2% (Libya) to 30% (Japan), with substantial within-country differences. Conclusion Lung cancer will continue to be a major health problem well through the first half of this century. Preventive strategies, particularly tobacco control, tailored to populations at highest risk are key to reduce the global burden of lung cancer. PMID:27364315

Firearm injuries in the United States

PubMed Central

Fowler, Katherine A.; Dahlberg, Linda L.; Haileyesus, Tadesse; Annest, Joseph L.

2015-01-01

Objective This paper examines the epidemiology of fatal and nonfatal firearm violence in the United States. Trends over two decades in homicide, assault, self-directed and unintentional firearm injuries are described along with current demographic characteristics of victimization and health impact. Method Fatal firearm injury data were obtained from the National Vital Statistics System (NVSS). Nonfatal firearm injury data were obtained from the National Electronic Injury Surveillance System (NEISS). Trends were tested using Joinpoint regression analyses. CDC Cost of Injury modules were used to estimate costs associated with firearm deaths and injuries. Results More than 32,000 persons die and over 67,000 persons are injured by firearms each year. Case fatality rates are highest for self-harm related firearm injuries, followed by assault-related injuries. Males, racial/ethnic minority populations, and young Americans (with the exception of firearm suicide) are disproportionately affected. The severity of such injuries is distributed relatively evenly across outcomes from outpatient treatment to hospitalization to death. Firearm injuries result in over $48 billion in medical and work loss costs annually, particularly fatal firearm injuries. From 1993 to 1999, rates of firearm violence declined significantly. Declines were seen in both fatal and nonfatal firearm violence and across all types of intent. While unintentional firearm deaths continued to decline from 2000 to 2012, firearm suicides increased and nonfatal firearm assaults increased to their highest level since 1995. Conclusion Firearm injuries are an important public health problem in the United States, contributing substantially each year to premature death, illness, and disability. Understanding the nature and impact of the problem is only a first step toward preventing firearm violence. A science-driven approach to understand risk and protective factors and identify effective solutions is key to achieving measurable reductions in firearm violence. PMID:26116133

The effect of contextual factors on unintentional injury hospitalization: from the Korea National Hospital Discharge Survey.

PubMed

Lee, Hye Ah; Han, Hyejin; Lee, Seonhwa; Park, Bomi; Park, Bo Hyun; Lee, Won Kyung; Park, Ju Ok; Hong, Sungok; Kim, Young Taek; Park, Hyesook

2018-03-13

It has been suggested that health risks are affected by geographical area, but there are few studies on contextual effects using multilevel analysis, especially regarding unintentional injury. This study investigated trends in unintentional injury hospitalization rates over the past decade in Korea, and also examined community-level risk factors while controlling for individual-level factors. Using data from the 2004 to 2013 Korea National Hospital Discharge Survey (KNHDS), trends in age-adjusted injury hospitalization rate were conducted using the Joinpoint Regression Program. Based on the 2013 KNHDS, we collected community-level factors by linking various data sources and selected dominant factors related to injury hospitalization through a stepwise method. Multilevel analysis was performed to assess the community-level factors while controlling for individual-level factors. In 2004, the age-adjusted unintentional injury hospitalization rate was 1570.1 per 100,000 population and increased to 1887.1 per 100,000 population in 2013. The average annual percent change in rate of hospitalizations due to unintentional injury was 2.31% (95% confidence interval: 1.8-2.9). It was somewhat higher for females than for males (3.25% vs. 1.64%, respectively). Both community- and individual-level factors were found to significantly influence unintentional injury hospitalization risk. As community-level risk factors, finance utilization capacity of the local government and neighborhood socioeconomic status, were independently associated with unintentional injury hospitalization after controlling for individual-level factors, and accounted for 19.9% of community-level variation in unintentional injury hospitalization. Regional differences must be considered when creating policies and interventions. Further studies are required to evaluate specific factors related to injury mechanism.

Medicaid Coverage for Tobacco Dependence Treatments in Massachusetts and Associated Decreases in Smoking Prevalence

PubMed Central

Land, Thomas; Warner, Donna; Paskowsky, Mark; Cammaerts, Ayesha; Wetherell, LeAnn; Kaufmann, Rachel; Zhang, Lei; Malarcher, Ann; Pechacek, Terry; Keithly, Lois

2010-01-01

Background Approximately 50% of smokers die prematurely from tobacco-related diseases. In July 2006, the Massachusetts health care reform law mandated tobacco cessation coverage for the Massachusetts Medicaid population. The new benefit included behavioral counseling and all medications approved for tobacco cessation treatment by the U.S. Food and Drug Administration (FDA). Between July 1, 2006 and December 31, 2008, a total of 70,140 unique Massachusetts Medicaid subscribers used the newly available benefit, which is approximately 37% of all Massachusetts Medicaid smokers. Given the high utilization rate, the objective of this study is to determine if smoking prevalence decreased significantly after the initiation of tobacco cessation coverage. Methods and Findings Smoking prevalence was evaluated pre- to post-benefit using 1999 through 2008 data from the Massachusetts Behavioral Risk Factor Survey (BRFSS). The crude smoking rate decreased from 38.3% (95% C.I. 33.6%–42.9%) in the pre-benefit period compared to 28.3% (95% C.I.: 24.0%–32.7%) in the post-benefit period, representing a decline of 26 percent. A demographically adjusted smoking rate showed a similar decrease in the post-benefit period. Trend analyses reflected prevalence decreases that accrued over time. Specifically, a joinpoint analysis of smoking prevalence among Massachusetts Medicaid benefit-eligible members (age 18–64) from 1999 through 2008 found a decreasing trend that was coincident with the implementation of the benefit. Finally, a logistic regression that controlled for demographic factors also showed that the trend in smoking decreased significantly from July 1, 2006 to December 31, 2008. Conclusion These findings suggest that a tobacco cessation benefit that includes coverage for medications and behavioral treatments, has few barriers to access, and involves broad promotion can significantly reduce smoking prevalence. PMID:20305787

Nationwide cohort study on the epidemiology and survival outcomes of thyroid cancer

PubMed Central

Liu, Fu-Chao; Lin, Huan-Tang; Lin, Shu-Fu; Kuo, Chang-Fu; Chung, Ting-Ting; Yu, Huang-Ping

2017-01-01

In the past three decades, the thyroid cancer incidence has surged globally. Herein, the Taiwan National Health Insurance database was used to identify thyroid cancer patients and to estimate the prevalence and incidence of thyroid cancer during 1997-2012. The Taiwan Cancer Registry and the National Death Registry databases were crosslinked to obtain information on the histological subtypes and survival rates. Joinpoint regression analysis was used for estimating the average annual percentage changes (APCs) in prevalence, incidence, and survival. The age-standardized incidence of thyroid cancer increased from 5.66 per 100,000 person-years in 1997 to 12.30 per 100,000 person-years in 2012, with an average APC of 5.1 (6.9 in males, 4.6 in females). Thyroid cancer was more prevalent in patients with high socioeconomic status and in urban areas. Papillary carcinoma was the most abundant subtype, with a 2.9-fold increase of incident cases noted during 1998-2012 (from 80.6% to 89.8% of all cases). Among the different treatments, partial thyroidectomy increased the most (average APC, 17.3). The overall survival rates by sex and subtype remained stable over time, with 5-year survival rates of 90.2% in 1997 and 92.4% in 2010. In conclusion, 2.2- and 4.2-fold increases in the incidence and prevalence of thyroid cancer, respectively, were observed during 1997-2012 in Taiwan. The surging incidence of thyroid cancer but stable survival rates, and mainly increased in the papillary subtype, altogether imply enhanced detection of subclinical lesions. A true increase due to environmental carcinogens might also be responsible, but warrant further investigations. PMID:29108240

Trends in Sales of Flavored and Menthol Tobacco Products in the United States during 2011–2015

PubMed Central

Kuiper, Nicole M; Gammon, Doris; Loomis, Brett; Falvey, Kyle; Wang, Teresa W.; King, Brian A.; Rogers, Todd

2017-01-01

Introduction Flavors can mask the harshness of tobacco and make it appealing to young people. This study assessed flavored and menthol tobacco product sales at the national and state levels. Methods Universal Product Code (UPC) tobacco sales data collected by Nielsen were combined for convenience stores and all-outlets-combined during October 22, 2011–January 9, 2016. Products were characterized as flavored, menthol, or non-flavored/non-menthol. Total unit sales, and the proportion of flavored and menthol unit sales, were assessed nationally and by state for seven tobacco products. Joinpoint Regression was used to assess trends in average monthly percentage change. Results Nationally, the proportion of flavored and menthol sales in 2015 was as follows: cigarettes (32.5% menthol), large cigars (26.1% flavored), cigarillos (47.5% flavored, 0.2% menthol), little cigars (21.8% flavored, 19.4% menthol), chewing tobacco (1.4% flavored, 0.7% menthol), moist snuff (3.0% flavored, 57.0% menthol), and snus (88.5% menthol). From 2011-2015, sales increased for flavored cigarillos and chewing tobacco, as well as for menthol cigarettes, little cigars, moist snuff and snus. Sales decreased for flavored large cigars, moist snuff and snus, and for menthol chewing tobacco. State-level variations were observed by product; for example, flavored little cigar sales ranged from 4.4% (Maine) to 69.3% (Utah) and flavored cigarillo sales ranged from 26.6% (Maine) to 63.0% (Maryland). Conclusions Menthol and flavored sales have increased since 2011, particularly for the products with the highest number of units sold, and significant state variation exists. Efforts to restrict flavored tobacco product sales could reduce overall U.S. tobacco consumption. PMID:28575408

Mobile phone use and incidence of glioma in the Nordic countries 1979-2008: consistency check.

PubMed

Deltour, Isabelle; Auvinen, Anssi; Feychting, Maria; Johansen, Christoffer; Klaeboe, Lars; Sankila, Risto; Schüz, Joachim

2012-03-01

Some case-control studies have reported increased risks of glioma associated with mobile phone use. If true, this would ultimately affect the time trends for incidence rates (IRs). Correspondingly, lack of change in IRs would exclude certain magnitudes of risk. We investigated glioma IR trends in the Nordic countries, and compared the observed with expected incidence rates under various risk scenarios. We analyzed annual age-standardized incidence rates in men and women aged 20 to 79 years during 1979-2008 using joinpoint regression (35,250 glioma cases). Probabilities of detecting various levels of relative risk were computed using simulations. For the period 1979 through 2008, the annual percent change in incidence rates was 0.4% (95% confidence interval = 0.1% to 0.6%) among men and 0.3% (0.1% to 0.5%) among women. Incidence rates have decreased in young men (20-39 years) since 1987, remained stable in middle-aged men (40-59 years) throughout the 30-year study period, and increased slightly in older men (60-79 years). In simulations, assumed relative risks for all users of 2.0 for an induction time of up to 15 years, 1.5 for up to 10 years, and 1.2 for up to 5 years were incompatible with observed incidence time trends. For heavy users of mobile phones, risks of 2.0 for up to 5 years' induction were also incompatible. No clear trend change in glioma incidence rates was observed. Several of the risk increases seen in case-control studies appear to be incompatible with the observed lack of incidence rate increase in middle-aged men. This suggests longer induction periods than currently investigated, lower risks than reported from some case-control studies, or the absence of any association.

Increased age and race-specific incidence of cervical cancer after correction for hysterectomy prevalence in the United States from 2000 to 2009.

PubMed

Rositch, Anne F; Nowak, Rebecca G; Gravitt, Patti E

2014-07-01

Invasive cervical cancer is thought to decline in women over 65 years old, the age at which cessation of routine cervical cancer screening is recommended. However, national cervical cancer incidence rates do not account for the high prevalence of hysterectomy in the United States. Using estimates of hysterectomy prevalence from the Behavioral Risk Factor Surveillance System (BRFSS), hysterectomy-corrected age-standardized and age-specific incidence rates of cervical cancer were calculated from the Surveillance, Epidemiology, and End Results (SEER) 18 registry in the United States from 2000 to 2009. Trends in corrected cervical cancer incidence across age were analyzed using Joinpoint regression. Unlike the relative decline in uncorrected rates, corrected rates continue to increase after age 35-39 (APC(CORRECTED) = 10.43) but at a slower rate than in 20-34 years (APC(CORRECTED) = 161.29). The highest corrected incidence was among 65- to 69-year-old women, with a rate of 27.4 cases per 100,000 women as opposed to the highest uncorrected rate of 15.6 cases per 100,000 aged 40 to 44 years. Correction for hysterectomy had the largest impact on older, black women given their high prevalence of hysterectomy. Correction for hysterectomy resulted in higher age-specific cervical cancer incidence rates, a shift in the peak incidence to older women, and an increase in the disparity in cervical cancer incidence between black and white women. Given the high and nondeclining rate of cervical cancer in women over the age of 60 to 65 years, when women are eligible to exit screening, risk and screening guidelines for cervical cancer in older women may need to be reconsidered. © 2014 American Cancer Society.

The Contribution of Reverse Shoulder Arthroplasty to Utilization of Primary Shoulder Arthroplasty

PubMed Central

Jain, Nitin B.; Yamaguchi, Ken

2014-01-01

Background We assessed the contribution of reverse shoulder arthroplasty to overall utilization of primary shoulder arthroplasty, and present age and sex stratified national rates of shoulder arthroplasty. We also assessed contemporary complication rates, mortality, and indications for shoulder arthroplasty, as well as estimates and indications for revision arthroplasty. Methods We used the Nationwide Inpatient Samples for 2009–2011 to calculate estimates of shoulder arthroplasty and assessed trends using joinpoint regression. Results The cumulative estimated utilization of primary shoulder arthroplasty (total anatomical, hemi, and reverse) increased significantly from 52,397 procedures (95% CI=47,093–57,701) in 2009 to 67,184 cases (95% CI=60,638–73,731) in 2011. Reverse shoulder arthroplasty accounted for 42% of all primary shoulder arthroplasty procedures in 2011. The diagnosis of concomitant diagnosis of osteoarthritis and rotator cuff impairment was found in only 29.8% of reverse shoulder arthroplasty cases. The highest rate of reverse shoulder arthroplasty was in the 75–84 year female sub-group (77; 95% CI=67–87). Revision cases were 8.8% and 8.2% of all shoulder arthroplasties in 2009 and 2011, respectively, and 35% of revision cases were secondary to mechanical complications/loosening while 18% were due to dislocation. Conclusions The utilization of primary shoulder arthroplasty significantly increased in just a three year time span, with a major contribution from reverse shoulder arthroplasty in 2011. Indications appear to have expanded as a large percentage of patients did not have rotator cuff pathology. The burden from revision arthroplasties was also substantial and efforts to optimize outcomes and longevity of primary shoulder arthroplasty are needed. Level of evidence Epidemiology Study, Database Analysis PMID:25304043

[Tobacco use by adolescents in Barcelona (Spain) and trends in the last 20 years].

PubMed

Ariza, Carles; García-Continente, Xavier; Villalbí, Joan Ramon; Sánchez-Martínez, Francesca; Pérez, Anna; Nebot, Manel

2014-01-01

Smoking is a preventable cause of early death and the habit starts in adolescence. The aim of this study was to describe tobacco consumption in secondary school students in 2008 and trends in the last 20 years in Barcelona. We analyzed the trend in tobacco consumption by comparing data from 8 surveys carried out between 1987 and 2008 in the 8th (2nd year of Compulsory Secondary Education), 10th (4th year of Compulsory Secondary Education) and 12th (2nd year of Compulsory Secondary Education) years of secondary school. The FRESC questionnaire was used. Data on regular and daily consumption and associated factors in 2008 were gathered and compared with those corresponding to the previous studies. Percentages of annual change were calculated with Joinpoint regression and data were stratified by sex and year of education. In 2008, 6.1% of boys and 4.5% of girls in the 8th year, 15.8% and 20.4% of those in the 10th year, respectively, and 26.1% and 33.1% of those in the 12th year, respectively, were regular smokers. A strong association was noted between regular smoking and cannabis consumption in three school years, as well as with having friends who were smokers and poor school performance. At 15-16 years old, the average annual decrease from 1996 to 2008 was 6.8% in girls and 6.1% in boys. Adolescent smoking has been decreasing in the last few years in Barcelona. There is a strong association between tobacco use and cannabis consumption. Copyright © 2013 SESPAS. Published by Elsevier Espana. All rights reserved.

Trends and predictions to 2020 in breast cancer mortality: Americas and Australasia.

PubMed

Carioli, Greta; Malvezzi, Matteo; Rodriguez, Teresa; Bertuccio, Paola; Negri, Eva; La Vecchia, Carlo

2018-02-01

We considered trends in breast cancer mortality for 12 American and 8 Australasian countries during 1970-2014, and predicted rates for 2020. We obtained official death certification data for breast cancer and population figures from the World Health Organization, Pan American Health Organization and United Nations databases. We derived age-standardized rates (world standard population), and predictions for 2020 using joinpoint regression. Breast cancer mortality trends were favourable in North America and Oceania, and a further 10% reduction in their overall rates is predicted for 2020, to reach values of 11-12/100,000 women, i.e. about 50% lower than their top rates in the later 1980's. Hong Kong, Japan and Korea did not show appreciable trends, but their rates remained below 10/100,000. Mexico, Chile, Colombia, Brazil also had stable rates, below or around 10/100,000. Breast cancer mortality was higher in Argentina, Cuba and Venezuela, and only Argentina showed some favourable trends over recent years, and predictions to 2020 around 16/100,000. Trends and predictions were less favourable in Israel, New Zealand, and the Philippines than in most other countries with predicted rates in 2020 between 13 and 16/100,000. In several high-income countries, the fall in breast cancer mortality, due to improved treatment and diagnosis, has been the major success in the management of any common cancer over the last three decades. There are, however, persistent disparities in the global decline in breast cancer, which call for urgent management improvements in several areas of the world, particularly in middle-income countries. Copyright © 2017 Elsevier Ltd. All rights reserved.

[Breast cancer in México: a 10-year trend analysis on incidence and age at diagnosis].

PubMed

Salinas-Martínez, Ana María; Juárez-Ruiz, Abigail; Mathiew-Quirós, Álvaro; Guzmán-De la Garza, Francisco Javier; Santos-Lartigue, Adriana; Escobar-Moreno, César

2014-01-01

Breast cancer is an important public health problem. Some countries have achieved a downward trend while in others, continues ascending. In México, information on incidence and age at diagnosis is isolated in time, and knowledge on trend analysis is lacking. To examine the 2003-2012 trend of the incidence rate and age at diagnosis of breast cancer in the northeast of México. We also analyze the trend of positivity to nodes, hormone receptors and HER2; and its association with age at diagnosis. This is an epidemiological study of breast cancer patients in a tertiary care hospital in Monterrey, México (n = 3,488). Only new cases with a histology report were included; if this was not available, the cytology result was considered. Trend analysis was performed using the JoinPoint regression program Version 3.5. The breast cancer incidence rate increased from 26.7 to 49.8 per 100,000 between 2003 and 2011 (p < 0.05). The adjusted rate showed an annual percentage rate of change of +6.2% (95%CI 4.2, 8.2). The mean age was 55.7 ± 13.7 years and remained stable over time. Nodes, hormone receptors and HER2 positivity rate also remained stable over time. Age < 50 years increased twice the risk for positivity to nodes (OR 2.0, 95%CI 1.4, 2.7), ER-PR- (OR 1.8, 95% CI 1.4, 2.4) and ER-PR-HER2- (OR 1.9, 95%CI 1.5, 2.5). The 10-year analysis showed a significant upward trend. This study represents a first effort in our country, for determining patterns on incidence and age at diagnosis of breast cancer, as well as that of biomarkers.

The burden of liver cancer in Asians and Pacific Islanders in the Greater San Francisco Bay Area, 1990 through 2004

PubMed Central

Chang, Ellen T.; Keegan, Theresa H. M.; Gomez, Scarlett L.; Le, Gem M.; Clarke, Christina A.; So, Samuel K. S.; Glaser, Sally L.

2009-01-01

Background No previous U.S. study has examined time trends in the incidence rate of liver cancer in the high-risk Asian/Pacific Islander population. We evaluated liver cancer incidence trends in Chinese, Filipino, Japanese, Korean, and Vietnamese males and females in the Greater San Francisco Bay Area of California between 1990 and 2004. Methods Populations at risk were estimated using the cohort component demographic method. Annual percentage changes (APCs) in age-adjusted incidence rates of primary liver cancer among Asians/Pacific Islanders in the Greater Bay Area Cancer Registry were calculated using joinpoint regression analysis. Results The incidence rate of liver cancer between 1990 and 2004 did not change significantly in Asian/Pacific Islander males or females overall. However, the incidence rate declined, albeit statistically non-significantly, in Chinese males (APC =−1.6% [95% confidence interval (CI) =−3.4%, 0.3%], Japanese males (APC = −4.9%, 95% CI =−10.7%, 1.2%), and Japanese females (APC =−3.6%, 95% CI =−8.9%, 2.0%). Incidence rates remained consistently high for Vietnamese, Korean, and Filipino males and females. Trends in the incidence rate of hepatocellular carcinoma were comparable to those for liver cancer. While disparities in liver cancer incidence between Asians/Pacific Islanders and other racial/ethnic groups diminished between 1990–1994 and 2000–2004, those among Asian subgroups increased. Conclusions Liver cancer continues to affect Asian/Pacific Islander Americans disproportionately, with consistently high incidence rates in most subgroups. Culturally targeted prevention methods are needed to reduce the high rates of liver cancer in this growing population in the U.S. PMID:17385214

Mortality from idiopathic pulmonary fibrosis: a temporal trend analysis in Brazil, 1979-2014

PubMed Central

Algranti, Eduardo; Saito, Cézar Akiyoshi; Silva, Diego Rodrigues Mendonça e; Carneiro, Ana Paula Scalia; Bussacos, Marco Antonio

2017-01-01

ABSTRACT Objective: To analyze mortality from idiopathic pulmonary fibrosis (IPF) in Brazil over the period 1979-2014. Methods: Microdata were extracted from the Brazilian National Ministry of Health Mortality Database. Only deaths for which the underlying cause was coded as International Classification of Diseases version 9 (ICD-9) 515 or 516.3 (until 1995) or as ICD version 10 (ICD-10) J84.1 (from 1996 onward) were included in our analysis. Standardized mortality rates were calculated for the 2010 Brazilian population. The annual trend in mortality rates was analyzed by joinpoint regression. We calculated risk ratios (RRs) by age group, time period of death, and gender, using a person-years denominator. Results: A total of 32,092 deaths were recorded in the study period. Standardized mortality rates trended upward, rising from 0.24/100,000 population in 1979 to 1.10/100,000 population in 2014. The annual upward trend in mortality rates had two inflection points, in 1992 and 2008, separating three distinct time segments with an annual growth of 2.2%, 6.8%, and 2.4%, respectively. The comparison of RRs for the age groups, using the 50- to 54-year age group as a reference, and for the study period, using 1979-1984 as a reference, were 16.14 (14.44-16.36) and 6.71 (6.34-7.12), respectively. Men compared with women had higher standardized mortality rates (per 100,000 person-years) in all age groups. Conclusion: Brazilian IPF mortality rates are lower than those of other countries, suggesting underdiagnosis or underreporting. The temporal trend is similar to those reported in the literature and is not explained solely by population aging. PMID:29340493

Esophageal Cancer Clinical Presentation: Trends in the Last 3 Decades in a Large Italian Series.

PubMed

Cavallin, Francesco; Scarpa, Marco; Cagol, Matteo; Alfieri, Rita; Ruol, Alberto; Sileni, Vanna Chiarion; Ancona, Ermanno; Castoro, Carlo

2018-01-01

The aim of this study was to investigate trends in patients' characteristics and comorbidities in esophageal cancer (EC) patients. Identifying changing pattern is essential to understand and predict further changes and to plan surgical procedures and resource allocation. Trends in patients' characteristics and comorbidities were evaluated in 4440 EC patients at the Center for Esophageal Diseases in Padova, Italy, during 1980 to 2011. Joinpoint regression analysis was performed to evaluate trends and to estimate annual percentage changes (APCs). During the study period, there has been a statistically significant increment of the rate of esophageal adenocarcinoma (APC 3.70). The rates of elderly and of asymptomatic patients increased over time (APCs 0.98 and 6.24), whereas the rates of malnutrition, alcoholic drinking, and gastric ulcer decreased (APCs -1.50, -1.72, and -5.20). Reflux rate increased until 1997 and decreased thereafter (APCs 6.96 and -4.48), whereas the rate of Barrett esophagus increased until 1992 (APC 35.84) and then leveled. The rates of patients with previous neoplasms increased over time (APCs 3.22 and 4.86). There have been significant changes in systemic comorbidities, with an increase of hypertension and cardiac disease (APCs 7.56 and 1.86) and a decrease of advanced liver disease and pulmonary disease (APCs -2.67 and -1.74). The current EC patient has more often an esophageal adenocarcinoma and is more frequently elderly, asymptomatic, a survivor of previous neoplasms, and a patient with hypertension and cardiac disease than 30 years ago. On the contrary, malnutrition, alcoholic drinking, gastric ulcer, pulmonary disease, and advanced liver disease decreased.

Comparison of oropharyngeal and oral cavity squamous cell cancer incidence and trends in New Zealand and Queensland, Australia.

PubMed

Elwood, J Mark; Youlden, Danny R; Chelimo, Carol; Ioannides, Sally J; Baade, Peter D

2014-02-01

Increases in the incidence of squamous cell oropharyngeal cancer (OPC) have been reported from some countries, but have not been assessed in Australia or New Zealand. This study examines trends for squamous cell OPC and squamous cell oral cavity cancer (OCC) in two similarly sized populations, New Zealand and Queensland, Australia. Incidence data for 1982-2010 were obtained from the respective population-based cancer registries for squamous cell OPC and OCC, by subsite, sex, and age. Time trends and annual percentage changes (APCs) were assessed by joinpoint regression. The incidence rates of squamous cell OPC in males in New Zealand since 2005 and Queensland since 2006 have increased rapidly, with APCs of 11.9% and 10.6% respectively. The trends were greatest at ages 50-69 and followed more gradual increases previously. In females, rates increased by 2.1% per year in New Zealand from 1982, but by only 0.9% (not significant) in Queensland. In contrast, incidence rates for OCC decreased by 1.2% per year in males in Queensland since 1982, but remained stable for females in Queensland and for both sexes in New Zealand. Overall, incidence rates for both OCC and OPC were substantially higher in Queensland than in New Zealand. In males in both areas, OPC incidence is now higher than that of OCC. Incidence rates of squamous cell OPC have increased rapidly in men, while rates of OCC have been stable or reducing, showing distinct etiologies. This has both clinical and public health importance, including implications for the extension of human papilloma virus (HPV) vaccination to males. Copyright © 2014 Elsevier Ltd. All rights reserved.

Effects of the economic crisis on smoking prevalence and number of smokers in the USA.

PubMed

Gallus, Silvano; Ghislandi, Simone; Muttarak, Raya

2015-01-01

Scanty and controversial information is available on the impact of macroeconomic fluctuations on smoking behaviour. No study has quantified the effects of fiscal crises on smoking prevalence. This study aimed to investigate the effects of the 2007-2008 economic crisis on smoking prevalence and number of smokers in the USA. Using data from the repeated Behavioural Risk Factor Surveillance System (BRFSS) surveys in pre-crisis (2005-2007) and post-crisis (2009-2010) periods on a total of 1,981,607 US adults, we separated the expected (after allowance for the demographic growth of the US population, secular smoking prevalence trends and changes in sociodemographic characteristics) from the unexpected (assumed attributable to the economic crisis) changes in the number of smokers across different employment statuses. Joinpoint regression analysis revealed no significant changes in smoking prevalence trends over the period 2005-2010. The crisis resulted in an increase in the number of smokers in the US by 0.6 million. This is largely due to an unexpected decrease of 1.7 million smokers among employed and an increase of 2.4 million smokers among unemployed individuals, whose smoking prevalence also remains extremely high in the post-crisis period (32.6%). The 2008 financial crisis had a weak effect on smoking prevalence. The pro-cyclical relationship (ie, the crisis results in a lower number of smokers) found among the employed is offset by the counter-cyclical relationship (ie, the crisis results in a higher number of smokers) found among unemployed individuals. Public health interventions should specifically target those in unemployment, particularly in hard times. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

Ulcerative colitis-associated hospitalization costs: A population-based study

PubMed Central

Coward, Stephanie; Heitman, Steven J; Clement, Fiona; Hubbard, James; Proulx, Marie-Claude; Zimmer, Scott; Panaccione, Remo; Seow, Cynthia; Leung, Yvette; Datta, Neel; Ghosh, Subrata; Myers, Robert P; Swain, Mark; Kaplan, Gilaad G

2015-01-01

BACKGROUND: Hospitalization costs for ulcerative colitis (UC) following the introduction of infliximab have not been evaluated. OBJECTIVE: To study predictors of costs for UC patients who were hospitalized for a flare or colectomy. METHODS: Population-based surveillance identified adults (≥18 years of age) admitted to hospital for UC flare or colectomy between 2001 and 2009 in the Calgary Health Zone (Alberta). Medical charts were reviewed and patients stratified into three admission types: responsive to inpatient medical therapy (n=307); emergent colectomy (n=227); and elective colectomy (n=208). The annual median cost with interquartile range (IQR) was calculated. Linear regression determined the effect of admission type on hospital charges after adjusting for age, sex, smoking, comorbidities, disease extent, medication use (eg, infliximab) and year. The adjusted cost increase was presented as the percent increase with 95% CIs. Joinpoint analysis assessed for an inflection point in hospital cost after the introduction of infliximab. RESULTS: Median hospitalization cost for UC flare, emergent colectomy and elective colectomy, respectively, were: $5,499 (IQR $3,374 to $8,904), $23,698 (IQR $17,981 to $32,385) and $14,316 (IQR $11,932 to $18,331). Adjusted hospitalization costs increased approximately 6.0% annually (95% CI 4.5% to 7.5%). Adjusted costs were higher for patients who underwent an elective colectomy (percent increase cost 179.8% [95% CI 151.6% to 211.1%]) or an emergent colectomy (percent increase cost 211.1% [95% CI 183.2% to 241.6%]) than medically responsive patients. Infliximab in hospital was an independent predictor of increased costs (percent increase cost 69.5% [95% CI 49.2% to 92.5%]). No inflection points were identified. CONCLUSION: Hospitalization costs for UC increased due to colectomy and infliximab. PMID:26079072

Descriptive Analysis on the Impacts of Universal Zero-Markup Drug Policy on a Chinese Urban Tertiary Hospital.

PubMed

Tian, Wei; Yuan, Jiangfan; Yang, Dong; Zhang, Lanjing

2016-01-01

Universal Zero-Markup Drug Policy (UZMDP) mandates no price mark-ups on any drug dispensed by a healthcare institution, and covers the medicines not included in the China's National Essential Medicine System. Five tertiary hospitals in Beijing, China implemented UZMDP in 2012. Its impacts on these hospitals are unknown. We described the effects of UZMDP on a participating hospital, Jishuitan Hospital, Beijing, China (JST). This retrospective longitudinal study examined the hospital-level data of JST and city-level data of tertiary hospitals of Beijing, China (BJT) 2009-2015. Rank-sum tests and join-point regression analyses were used to assess absolute changes and differences in trends, respectively. In absolute terms, after the UZDMP implementation, there were increased annual patient-visits and decreased ratios of medicine-to-healthcare-charges (RMOH) in JST outpatient and inpatient services; however, in outpatient service, physician work-days decreased and physician-workload and inflation-adjusted per-visit healthcare charges increased, while the inpatient physician work-days increased and inpatient mortality-rate reduced. Interestingly, the decreasing trend in inpatient mortality-rate was neutralized after UZDMP implementation. Compared with BJT and under influence of UZDMP, JST outpatient and inpatient services both had increasing trends in annual patient-visits (annual percentage changes[APC] = 8.1% and 6.5%, respectively) and decreasing trends in RMOH (APC = -4.3% and -5.4%, respectively), while JST outpatient services had increasing trend in inflation-adjusted per-visit healthcare charges (APC = 3.4%) and JST inpatient service had decreasing trend in inflation-adjusted per-visit medicine-charges (APC = -5.2%). Implementation of UZMDP seems to increase annual patient-visits, reduce RMOH and have different impacts on outpatient and inpatient services in a Chinese urban tertiary hospital.

Colorectal carcinoma mortality among Appalachian men and women, 1969-1999.

PubMed

Armstrong, Lori R; Thompson, Trevor; Hall, H Irene; Coughlin, Steven S; Steele, Brooke; Rogers, Joe D

2004-12-15

Colorectal carcinoma screening can reduce mortality, but residents of poor or medically underserved areas may face barriers to screening. The current study assessed colorectal carcinoma mortality in Appalachia, a historically underserved area, from 1969 to 1999. All counties within the 13-state Appalachian region, which stretches from southern New York to northern Mississippi, were used to calculate annual death rates for the 31-year period. Joinpoint regression analysis was used to examine trends by age and race for the Appalachian region and the remainder of the United States. Five-year rates for 1995-1999 age-adjusted to the 2000 U.S. standard population were calculated by race and age group for the Appalachian region and elsewhere in the United States. Trend analysis showed that colorectal carcinoma death rates among both racial and gender groups studied had declined in recent years. Despite this, the rates for white males and white females were still significantly higher in Appalachia than in the rest of the country at the end of the study period, 1999. Five-year colorectal carcinoma death rates among white males (ages < 50, 50-59, and 70-79 years) and white females (ages < 50, 50-59, 70-79, > or = 80 years) were significantly higher in Appalachia than elsewhere in the United States, whereas rates among black females 60-69 and 70-79 years old were significantly lower in Appalachia. The Appalachian region may benefit from targeted prevention efforts to eliminate disparities in the colorectal carcinoma death rates among subgroups. Further studies are needed to determine whether the higher death rates in specific Appalachian subgroups are related to a higher incidence of the disease, the cancer being at a later stage at diagnosis, poorer treatment, or other factors.

Mortality from Musculoskeletal Disorders Including Rheumatoid Arthritis in Southern Sweden: A Multiple-cause-of-death Analysis, 1998-2014.

PubMed

Kiadaliri, Aliasghar A; Turkiewicz, Aleksandra; Englund, Martin

2017-05-01

To assess mortality related to musculoskeletal (MSK) disorders and rheumatoid arthritis (RA), specifically, among adults (aged ≥ 20 yrs) in southern Sweden using the multiple-cause-of-death approach. All death certificates (DC; n = 201,488) from 1998 to 2014 for adults in the region of Skåne were analyzed when mortality from MSK disorders and RA was listed as the underlying and nonunderlying cause of death (UCD/NUCD). Trends in age-standardized mortality rates (ASMR) were evaluated using joinpoint regression, and associated causes were identified by age- and sex-adjusted observed/expected ratios. MSK (RA) was mentioned on 2.8% (0.8%) of all DC and selected as UCD in 0.6% (0.2%), with higher values among women. Proportion of MSK disorder deaths from all deaths increased from 2.7% in 1998 to 3.1% in 2014, and declined from 0.9% to 0.5% for RA. The mean age at death was higher in DC with mention of MSK/RA than in DC without. The mean ASMR for MSK (RA) was 15.5 (4.3) per 100,000 person-years and declined by 1.1% (3.8%) per year during 1998-2014. When MSK/RA were UCD, pneumonia and heart failure were the main NUCD. When MSK/RA were NUCD, the leading UCD were ischemic heart disease and neoplasms. The greatest observed/expected ratios were seen for infectious diseases (including sepsis) and blood diseases. We observed significant reduction in MSK and RA mortality rates and increase in the mean age at death. Further analyses are required to investigate determinants of these improvements in MSK/RA survival and their potential effect on the Swedish healthcare systems.

Musculoskeletal disorders as underlying cause of death in 58 countries, 1986-2011: trend analysis of WHO mortality database.

PubMed

Kiadaliri, Aliasghar A; Woolf, Anthony D; Englund, Martin

2017-02-02

Due to low mortality rate of musculoskeletal disorders (MSK) less attention has been paid to MSK as underlying cause of death in the general population. The aim was to examine trend in MSK as underlying cause of death in 58 countries across globe during 1986-2011. Data on mortality were collected from the WHO mortality database and population data were obtained from the United Nations. Annual sex-specific age-standardized mortality rates (ASMR) were calculated by means of direct standardization using the WHO world standard population. We applied joinpoint regression analysis for trend analysis. Between-country disparities were examined using between-country variance and Gini coefficient. The changes in number of MSK deaths between 1986 and 2011 were decomposed using two counterfactual scenarios. The number of MSK deaths increased by 67% between 1986 and 2011 mainly due to population aging. The mean ASMR changed from 17.2 and 26.6 per million in 1986 to 18.1 and 25.1 in 2011 among men and women, respectively (median: 7.3% increase in men and 9.0% reduction in women). Declines in ASMR of 25% or more were observed for men (women) in 13 (19) countries, while corresponding increases were seen for men (women) in 25 (14) countries. In both sexes, ASMR declined during 1986-1997, then increased during 1997-2001 and again declined over 2001-2011. Despite decline over time, there were substantial between-country disparities in MSK mortality and its temporal trend. We found substantial variations in MSK mortality and its trends between countries, regions and also between sex and age groups. Promoted awareness and better management of MSK might partly explain reduction in MSK mortality, but variations across countries warrant further investigations.

Increasing hip fracture rates among older adults in Ecuador: analysis of the National Hospital Discharge System, 1999-2016.

PubMed

Orces, Carlos H; Gavilanez, Enrique Lopez

2017-12-07

The Ecuadorian hospital discharge system examined trends in hip fracture hospitalization rates among older adults. A significant upward trend in hip fracture rates occurred in both genders over the study period. Previous research has reported increasing hip fracture rates in Ecuador. Thus, this study aimed to extend previous findings by examining the nationwide incidence of hip fractures among adults aged 65 years and older between 1999 and 2016. A secondary objective was to compare hip fracture trends among older Ecuadorians with their counterparts in the United States (U.S.). The National Hospital Discharge System and the Healthcare Cost and Utilization Project net were assessed to identify older adults hospitalized with a principal diagnosis of hip fractures in Ecuador and the U.S., respectively. The Joinpoint regression analysis software was used to examine the average annual percent change in hip fracture rates. A total of 20,091 adults with a mean age of 82.3 (SD 8.1) years were hospitalized with a principal diagnosis of hip fractures during the study period. After an adjustment for age, hip fracture rates increased annually on average by 4.6% (95% CI 3.8%, 5.4%) from 96.4/100,000 in 1999 to 173.1/100,000 persons in 2016. Between 1999 and 2014, hip fracture age-adjusted rates decreased on average by - 2.5% (95% CI - 2.7%, - 2.3%) among older adults in the U.S. while hip fracture rates steadily increased by 4.6% (95% CI, 3.6%, 5.7%) per year in their Ecuadorian counterparts. Hip fracture rates markedly increased among older adults in Ecuador. The present findings should alert public health authorities to implement policies of osteoporosis awareness and prevention in Ecuador.

Effects of MHRA drug safety advice on time trends in prescribing volume and indices of clinical toxicity for quinine

PubMed Central

Acheampong, Paul; Cooper, Gill; Khazaeli, Behshad; Lupton, David J; White, Sue; May, Margaret T; Thomas, Simon H L

2013-01-01

Aims To ascertain the effects of the Medicines and Healthcare products Regulatory Agency's (MHRA) safety update in June 2010 on the volume of prescribing of quinine and on indices of quinine toxicity. Methods We analysed quarterly primary care total and quinine prescribing data for England and quinine prescribing volume for individual Primary Care Trusts in the North East of England from 2007/8 to 2011/12 obtained from the ePACT.net database. We also analysed quinine toxicity enquiries to the National Poisons Information Service (NPIS) via Toxbase® and by telephone between 2004/5 and 2011/12. Joinpoint regression and Pearson's correlation tests were used to ascertain changes in trends in prescribing and indices of toxicity and associations between prescribing and indices of toxicity, respectively. Results Total prescribing continued to increase, but annual growth in quinine prescribing in England declined from 6.0 to −0.6% following the MHRA update [difference −0.04 (95% confidence interval −0.07 to −0.01) quinine prescriptions per 100 patients per quarter, P = 0.0111]. Much larger reductions were observed in Primary Care Trusts that introduced comprehensive prescribing reviews. The previously increasing trend in Toxbase® quinine searches was reversed [difference −19.76 (95% confidence interval −39.28 to −9.20) user sessions per quarter, P = 0.0575]. Telephone enquiries to NPIS for quinine have declined, with stabilization of the proportion of moderate to severe cases of quinine poisoning since the update. Conclusions The MHRA advice was followed by limited reductions in the growth in quinine prescribing and in indicators of quinine overdose and toxicity. Quinine prescribing, however, remains common, and further efforts are needed to reduce availability and use. PMID:23594200

Breast cancer in Asian Americans in California, 1988-2013: increasing incidence trends and recent data on breast cancer subtypes.

PubMed

Gomez, Scarlett Lin; Von Behren, Julie; McKinley, Meg; Clarke, Christina A; Shariff-Marco, Salma; Cheng, Iona; Reynolds, Peggy; Glaser, Sally L

2017-07-01

In contrast to other US racial/ethnic groups, Asian Americans (AA) have experienced steadily increasing breast cancer rates in recent decades. To better understand potential contributors to this increase, we examined incidence trends by age and stage among women from seven AA ethnic groups in California from 1988 to 2013, and incidence patterns by subtype and age at diagnosis for the years 2009 through 2013. Joinpoint regression was applied to California Cancer Registry data to calculate annual percentage change (APC) for incidence trends. Incidence rate ratios were used to compare rates for AA ethnic groups relative to non-Hispanic whites (NHW). All AA groups except Japanese experienced incidence increases, with the largest among Koreans in 1988-2006 (APC 4.7, 95% CI 3.8, 5.7) and Southeast Asians in 1988-2013 (APC 2.5, 95% CI 0.8, 4.2). Among women younger than age 50, large increases occurred for Vietnamese and other Southeast Asians; among women over age 50, increasing trends occurred in all AA ethnic groups. Rates increased for distant-stage disease among Filipinas (2.2% per year, 95% CI 0.4, 3.9). Compared to NHW, Filipinas and older Vietnamese had higher incidence rates of some HER2+ subtypes. Breast cancer incidence rates have risen rapidly among California AA, with the greatest increases in Koreans and Southeast Asians. Culturally tailored efforts to increase awareness of and attention to breast cancer risk factors are needed. Given the relatively higher rates of HER2-overexpressing subtypes in some AA ethnicities, research including these groups and their potentially unique exposures may help elucidate disease etiology.

Time trends in lifetime incidence rates of first-time diagnosed anorexia nervosa and bulimia nervosa across 16 years in a Danish nationwide psychiatric registry study.

PubMed

Steinhausen, Hans-Christoph; Jensen, Christina Mohr

2015-11-01

To study recent time trends in the incidence of diagnosed anorexia nervosa (AN) and bulimia nervosa (BN) based on nationwide psychiatric register data. The Danish Psychiatric Central Research Registry was used to identify the incidence of diagnosed cases with AN and BN at the ages of 4-65 years from 1995 to 2010. Age- and sex-adjusted incidence rates per 100,000 person-years were calculated and were adjusted for time trends in the total number of people diagnosed in psychiatry. Time trends were analyzed using JoinPoint regression analysis. A total of N = 5,902 persons had a first-time incidence of AN, and a total of N = 5,113 had first-time incidence of BN. Incidence rates increased for AN from 6.4 to 12.6 per 100,000 person-years, and for BN from 6.3 to 7.2 per 100,000 person-years. In 2010, the male-to-female ratio was 1:8 for AN, and 1:20 for BN. There was an earlier onset for AN than for BN, and age at incidence decreased during the observation period for AN but not for BN. A sizeable part of the increasing incidence rates for AN and in particular, the younger AN age groups, could be attributed to an increase in the total number of N = 249,607 persons with first-time diagnoses in psychiatry. Incidence rates had increased slightly for AN, but were stable for BN across 16 years in this nationwide study and to a large extent were reflective of a general increase in diagnosed mental disorders. © 2015 Wiley Periodicals, Inc.

Preventable Hospitalization Rates and Neighborhood Poverty among New York City Residents, 2008-2013.

PubMed

Bocour, Angelica; Tria, Maryellen

2016-12-01

Knowing which demographic groups have higher rates of preventable hospitalizations can help identify geographic areas where improvements in primary care access and quality can be made. This study assessed whether preventable hospitalization rates by neighborhood poverty decreased from 2008 to 2013 and whether the gap between very high and low poverty neighborhoods changed. We examined trends in age-adjusted preventable hospitalization rates and rate ratios by neighborhood poverty overall and by sex using JoinPoint regression. Prevention Quality Indicators (PQIs) developed by the Agency for Healthcare Research and Quality were applied to inpatient hospitalization data from the New York State Department of Health's Statewide Planning and Research Cooperative System. PQIs were classified into composites. From 2008 to 2013, preventable hospitalization rates per 100,000 adults across each poverty group decreased. For very high poverty neighborhoods (ZIP codes with ≥30 % of persons living below the federal poverty level (FPL)), there were significant decreases overall (3430.56 to 2543.10, annual percent change [APC] = -5.91 %), for diabetes (676.15 to 500.83, APC = -5.75 %), respiratory (830.78 to 660.29, APC = -4.85 %), circulatory (995.69 to 701.81, APC = -7.24 %), and acute composites (928.18 to 680.17, APC = -5.62 %). The rate ratios also decreased over time; however, in 2013, the rates for very high poverty neighborhoods were two to four times higher than low poverty neighborhoods (ZIP codes with <10 % of persons below the FPL). While preventable hospitalization rates have decreased over time, disparities still exist. These findings underscore the need to ensure adequate access to quality and timely primary care among individuals living in high poverty neighborhoods.

Decreasing trends in cardiovascular mortality in Turkey between 1988 and 2008

PubMed Central

2013-01-01

Background Cardiovascular disease (CVD) mortality increased in developed countries until the 1970s then started to decline. Turkey is about to complete its demographic transition, which may also influence mortality trends. This study evaluated trends in coronary heart disease (CHD) and stroke mortality between 1988 and 2008. Methods The number of deaths by cause (ICD-8), age and sex were obtained from the Turkish Statistical Institute (TurkStat) annually between 1988 and 2008. Population statistics were based on census data (1990 and 2000) and Turkstat projections. European population standardised mortality rates for CHD and stroke were calculated for men and women over 35 years old. Joinpoint Regression was used to identify the points at which a statistically significant (p < 0.05) change of the trend occurred. Results The CHD mortality rate increased by 2.9% in men and 2.0% in women annually from 1988 to 1994, then started to decline. The annual rate of decline for men was 1.7% between 1994–2008, whilst in women it was 2.8% between 1994–2000 and 6.7% between 2005–2008 (p < 0.05 for all periods). Stroke mortality declined between 1990–1994 (annual fall of 3.8% in both sexes), followed by a slight increase between 1994–2004 (0.6% in men, 1.1% in women), then a further decline until 2008 (annual reduction of 4.4% in men, 7.9% in women) (p < 0.05 for all periods). Conclusions A decrease in CVD mortality was observed from 1995 onwards in Turkey. The causes need to be explored in detail to inform future policy priorities in noncommunicable disease control. PMID:24079269

Differences in Childhood Leukemia Incidence and Survival between Southern Thailand and the United States: A Population-Based Analysis

PubMed Central

Demanelis, Kathryn; Sriplung, Hutcha; Meza, Rafael; Wiangnon, Surapon; Rozek, Laura S.; Scheurer, Michael E.; Lupo, Philip J.

2015-01-01

BACKGROUND Childhood leukemia incidence and survival varies globally, and this variation may be attributed to environmental risk factors, genetics, and/or disparities in diagnosis and treatment. PROCEDURE We analyzed childhood leukemia incidence and survival trends in children age 0–19 years from 1990 to 2011 in Songkhla, Thailand (n=316) and compared these results to US data from the Surveillance, Epidemiology, and End Results (SEER) registry (n=6,738). We computed relative survival using Ederer II and estimated survival functions using the Kaplan-Meier method. Changes in incidence and five-year survival by year of diagnosis were evaluated using joinpoint regression and are reported as annual percent changes (APC). RESULTS The age-standardized incidence of leukemia was 3.2 and 4.1 cases per 100,000 in Songkhla and SEER-9, respectively. In Songkhla, incidence from 1990–2011 significantly increased for leukemia (APC=1.7%, p=0.031) and acute lymphoblastic leukemia (ALL) (APC=1.8%, p=0.033). Acute myeloid leukemia (AML) incidence significantly increased (APC=4.2%, p=0.044) and was significantly different from the US (p=0.026), where incidence was stable during the same period (APC=0.3%, p=0.541). The overall five-year relative survival for leukemia was lower than that reported in the US (43% vs. 79%). Five-year survival significantly improved by at least 2% per year from 1990–2011 in Songkhla for leukemia, ALL, and AML (p<0.050). CONCLUSIONS While leukemia and ALL incidence increased in Songkhla, differences in leukemia trends, particularly AML incidence, may suggest etiologic or diagnostic differences between Songkhla and the US. This work highlights the importance of evaluating childhood cancer trends in low- and middle-income countries. PMID:25962869

Epidemiology Characteristics and Trends of Lung Cancer Incidence in Iran.

PubMed

Almasi, Zeinab; Salehiniya, Hamid; Amoori, Neda; Enayatrad, Mostafa

2016-01-01

Lung cancer is one of the most common cancers in the world and a major cause of death from cancer. One of the important indicators to compare the prevalence and incidence of the disease is a change in the trend. The aim of this study was to investigate the changes in the incidence of lung cancer in Iran. This study was conducted based on existing data obtained from a national registry of cancer cases and the Disease Management Center of Ministry of Health in Iran. All cases registered in the country were included during 2003-2008. Incidence rates were reported based on the direct method and standard population of World Health Organization. The study also examined the morphology of common lung cancers. Trends in incidence underwent joinpoint regression analysis. Based on the results of this study, 14,403 cases of lung cancer have been recorded of which 10,582 cases were in men and 3,821 in women. Highest incidence rates were observed in the 80-84 age group. Considerable variation across provinces was evident. In females squamous cell carcinoma (SCC) demonstrated a reduction from 24% to 16% of lesions over the period of study, while adenocarcinoma rose from 21% to 29%. In males a similar reduction in SCC was apparent (42% to 29%, again with increase in AC (13 % to 18%). The results show that the increase in the incidence of lung cancer the trend is that more men than women and in men and may be caused by changes in smoking pattern. The incidence of lung cancer in the North West and West provinces was higher than in other regions.

Nasopharyngeal carcinoma incidence in North Tunisia: negative trends in adults but not adolescents, 1994-2006.

PubMed

Wided, Ben Ayoub Hizem; Hamouda, Boussen; Hamadi, Hsairi; Mansour, Ben Abdallah

2015-01-01

Nasopharyngeal carcinoma (NPC) is the second most common neoplasm of head and neck in Tunisia. The distribution is bimodal with a first period occurrence between 15 and 20 years old and a second peak at around 50 years of age. Undifferentiated carcinoma of nasopharynx type III (UCNT) is the predominant histological type (93.4%). Data of cancer registry of North Tunisia confirmed that it is an intermediate risk area for NPC with overall ASRs of 3.6 and 1.6/100,000 respectively in males and females. This study aimed to present the evolution of incidence rate of nasopharyngeal carcinoma over a period of 12 years (1994-2006). Data of cancer registry of North Tunisia (NTCR), covering half of the Tunisian population, were used to determine evolution of NPC incidence, calculated by 5 year periods. The estimated annual percentage change (EAPC) was used as an estimate of the trend. To best summarize the behavior or the data trend across years, we used a join-point regression program. Between 1994 and 2006, we observed negative annual average change of standardized incidence in men and women (-3.3% and -2.7%) also for the standardized incidences which showed a rather important decline (26.4% in males and 22.3% in females). The truncated age standardized incidence rate of NPC in adults aged of 30 years old and more (N=1209) decreased by -0.4% per year from 1994 to 2006 over time in north Tunisia dropping from 6.09 to 4.14 person-years. However, the rate was relatively stable during this period among youths aged 0-29 years (N=233) in both sexes. NPC demonstrated a favorable evolution from 1994-2006 probably due to a improvement in socioeconomic conditions.

Rising population of survivors of oral squamous cell cancer in the United States.

PubMed

Patel, Mira A; Blackford, Amanda L; Rettig, Eleni M; Richmon, Jeremy D; Eisele, David W; Fakhry, Carole

2016-05-01

The incidence of oropharyngeal cancer (OPC) and a subset of oral cavity cancer (OCC) is increasing in the United States. To the authors' knowledge, the presumed growing prevalence of survivors of OPC and OCC has not been investigated to date. Retrospective analysis of Surveillance, Epidemiology, and End Results data (1975-2012) estimated changes in incidence, 5-year cause-specific survival, and prevalence for OPC and OCC. Changes in incidence, cause-specific survival and prevalence were estimated by linear regression and expressed as the percentage change (B). Differences in incidence trends over time were determined by joinpoint analysis. The incidence of OPC increased by 62.6% from 1975 through 2012. Notable increases in OPC incidence were observed among men, white individuals, and those of younger ages. The 5-year survival for OPC increased significantly for all sexes, races, and individuals aged >30 years, with white individuals and males experiencing the largest increase in survival. By contrast, the incidence of OCC declined by 22.3% during the same time period. OCC incidence decreased across all groups but increased among individuals aged 30 to 39 years. Significant increases in survival were observed for OCC, except for those who were female, black, and aged <40 years. The prevalence of survivors of OPC increased from 2000 to 2012 (B, 115.1 per 100,000 individuals per year; P<.0001), whereas the prevalence of survivors of OCC significantly decreased (B, -15.8 per 100,000 individuals per year; P<.0001). The prevalence of survivors of OPC is increasing, whereas the prevalence of survivors of OCC is declining. These data portend significant implications for long-term care planning for survivors of OPC and OCC. Cancer 2016;122:1380-1387. © 2016 American Cancer Society. © 2016 American Cancer Society.

Oral cancer incidence and survival rates in the Republic of Ireland, 1994-2009.

PubMed

Ali, Hala; Sinnott, Sarah-Jo; Corcoran, Paul; Deady, Sandra; Sharp, Linda; Kabir, Zubair

2016-12-20

Oral cancer is a significant public health problem world-wide and exerts high economic, social, psychological, and physical burdens on patients, their families, and on their primary care providers. We set out to describe the changing trends in incidence and survival rates of oral cancer in Ireland between 1994 and 2009. National data on incident oral cancers [ICD 10 codes C01-C06] were obtained from the National Cancer Registry Ireland from 1994 to 2009. We estimated annual percentage change (APC) in oral cancer incidence during 1994-2009 using joinpoint regression software (version 4.2.0.2). The lifetime risk of oral cancer to age 79 was estimated using Irish incidence and population data from 2007 to 2009. Survival rates were also examined using Kaplan-Meier curves and Cox proportional hazard models to explore the influence of several demographic/lifestyle covariates with follow-up to end 2012. Data were obtained on 2,147 oral cancer incident cases. Men accounted for two-thirds of oral cancer cases (n = 1,430). Annual rates in men decreased significantly during 1994-2001 (APC = -4.8 %, 95 % CI: -8.7 to -0.7) and then increased moderately (APC = 2.3 %, 95 % CI: -0.9 to 5.6). In contrast, annual incidence increased significantly in women throughout the study period (APC = 3.2 %, 95 % CI: 1.9 to 4.6). There was an elevated risk of death among oral cancer patients who were: older than 60 years of age; smokers; unemployed or retired; those living in the most deprived areas; and those whose tumour was sited in the base of the tongue. Being married and diagnosed in more recent years were associated with reduced risk of death. Oral cancer increased significantly in both sexes between 1999 and 2009 in Ireland. Our analyses demonstrate the influence of measured factors such as smoking, time of diagnosis and age on observed trends. Unmeasured factors such as alcohol use, HPV and dietary factors may also be contributing to increased trends. Several of these are modifiable risk factors which are crucial for informing public health policies, and thus more research is needed.

Poisson Mixture Regression Models for Heart Disease Prediction.

PubMed

Mufudza, Chipo; Erol, Hamza

2016-01-01

Early heart disease control can be achieved by high disease prediction and diagnosis efficiency. This paper focuses on the use of model based clustering techniques to predict and diagnose heart disease via Poisson mixture regression models. Analysis and application of Poisson mixture regression models is here addressed under two different classes: standard and concomitant variable mixture regression models. Results show that a two-component concomitant variable Poisson mixture regression model predicts heart disease better than both the standard Poisson mixture regression model and the ordinary general linear Poisson regression model due to its low Bayesian Information Criteria value. Furthermore, a Zero Inflated Poisson Mixture Regression model turned out to be the best model for heart prediction over all models as it both clusters individuals into high or low risk category and predicts rate to heart disease componentwise given clusters available. It is deduced that heart disease prediction can be effectively done by identifying the major risks componentwise using Poisson mixture regression model.

Poisson Mixture Regression Models for Heart Disease Prediction

PubMed Central

Erol, Hamza

2016-01-01

Early heart disease control can be achieved by high disease prediction and diagnosis efficiency. This paper focuses on the use of model based clustering techniques to predict and diagnose heart disease via Poisson mixture regression models. Analysis and application of Poisson mixture regression models is here addressed under two different classes: standard and concomitant variable mixture regression models. Results show that a two-component concomitant variable Poisson mixture regression model predicts heart disease better than both the standard Poisson mixture regression model and the ordinary general linear Poisson regression model due to its low Bayesian Information Criteria value. Furthermore, a Zero Inflated Poisson Mixture Regression model turned out to be the best model for heart prediction over all models as it both clusters individuals into high or low risk category and predicts rate to heart disease componentwise given clusters available. It is deduced that heart disease prediction can be effectively done by identifying the major risks componentwise using Poisson mixture regression model. PMID:27999611

Parametric regression model for survival data: Weibull regression model as an example

PubMed Central

2016-01-01

Weibull regression model is one of the most popular forms of parametric regression model that it provides estimate of baseline hazard function, as well as coefficients for covariates. Because of technical difficulties, Weibull regression model is seldom used in medical literature as compared to the semi-parametric proportional hazard model. To make clinical investigators familiar with Weibull regression model, this article introduces some basic knowledge on Weibull regression model and then illustrates how to fit the model with R software. The SurvRegCensCov package is useful in converting estimated coefficients to clinical relevant statistics such as hazard ratio (HR) and event time ratio (ETR). Model adequacy can be assessed by inspecting Kaplan-Meier curves stratified by categorical variable. The eha package provides an alternative method to model Weibull regression model. The check.dist() function helps to assess goodness-of-fit of the model. Variable selection is based on the importance of a covariate, which can be tested using anova() function. Alternatively, backward elimination starting from a full model is an efficient way for model development. Visualization of Weibull regression model after model development is interesting that it provides another way to report your findings. PMID:28149846

Introduction to the use of regression models in epidemiology.

PubMed

Bender, Ralf

2009-01-01

Regression modeling is one of the most important statistical techniques used in analytical epidemiology. By means of regression models the effect of one or several explanatory variables (e.g., exposures, subject characteristics, risk factors) on a response variable such as mortality or cancer can be investigated. From multiple regression models, adjusted effect estimates can be obtained that take the effect of potential confounders into account. Regression methods can be applied in all epidemiologic study designs so that they represent a universal tool for data analysis in epidemiology. Different kinds of regression models have been developed in dependence on the measurement scale of the response variable and the study design. The most important methods are linear regression for continuous outcomes, logistic regression for binary outcomes, Cox regression for time-to-event data, and Poisson regression for frequencies and rates. This chapter provides a nontechnical introduction to these regression models with illustrating examples from cancer research.

Interpretation of commonly used statistical regression models.

PubMed

Kasza, Jessica; Wolfe, Rory

2014-01-01

A review of some regression models commonly used in respiratory health applications is provided in this article. Simple linear regression, multiple linear regression, logistic regression and ordinal logistic regression are considered. The focus of this article is on the interpretation of the regression coefficients of each model, which are illustrated through the application of these models to a respiratory health research study. © 2013 The Authors. Respirology © 2013 Asian Pacific Society of Respirology.

A new approach to correct the QT interval for changes in heart rate using a nonparametric regression model in beagle dogs.

PubMed

Watanabe, Hiroyuki; Miyazaki, Hiroyasu

2006-01-01

Over- and/or under-correction of QT intervals for changes in heart rate may lead to misleading conclusions and/or masking the potential of a drug to prolong the QT interval. This study examines a nonparametric regression model (Loess Smoother) to adjust the QT interval for differences in heart rate, with an improved fitness over a wide range of heart rates. 240 sets of (QT, RR) observations collected from each of 8 conscious and non-treated beagle dogs were used as the materials for investigation. The fitness of the nonparametric regression model to the QT-RR relationship was compared with four models (individual linear regression, common linear regression, and Bazett's and Fridericia's correlation models) with reference to Akaike's Information Criterion (AIC). Residuals were visually assessed. The bias-corrected AIC of the nonparametric regression model was the best of the models examined in this study. Although the parametric models did not fit, the nonparametric regression model improved the fitting at both fast and slow heart rates. The nonparametric regression model is the more flexible method compared with the parametric method. The mathematical fit for linear regression models was unsatisfactory at both fast and slow heart rates, while the nonparametric regression model showed significant improvement at all heart rates in beagle dogs.

Modified Regression Correlation Coefficient for Poisson Regression Model

NASA Astrophysics Data System (ADS)

Kaengthong, Nattacha; Domthong, Uthumporn

2017-09-01

This study gives attention to indicators in predictive power of the Generalized Linear Model (GLM) which are widely used; however, often having some restrictions. We are interested in regression correlation coefficient for a Poisson regression model. This is a measure of predictive power, and defined by the relationship between the dependent variable (Y) and the expected value of the dependent variable given the independent variables [E(Y|X)] for the Poisson regression model. The dependent variable is distributed as Poisson. The purpose of this research was modifying regression correlation coefficient for Poisson regression model. We also compare the proposed modified regression correlation coefficient with the traditional regression correlation coefficient in the case of two or more independent variables, and having multicollinearity in independent variables. The result shows that the proposed regression correlation coefficient is better than the traditional regression correlation coefficient based on Bias and the Root Mean Square Error (RMSE).

The end of the decline in cervical cancer mortality in Spain: trends across the period 1981-2012.

PubMed

Cervantes-Amat, Marta; López-Abente, Gonzalo; Aragonés, Nuria; Pollán, Marina; Pastor-Barriuso, Roberto; Pérez-Gómez, Beatriz

2015-04-15

In Spain, cervical cancer prevention is based on opportunistic screening, due to the disease's traditionally low incidence and mortality rates. Changes in sexual behaviour, tourism and migration have, however, modified the probability of exposure to human papilloma virus among Spaniards. This study thus sought to evaluate recent cervical cancer mortality trends in Spain. We used annual female population figures and individual records of deaths certified as cancer of cervix, reclassifying deaths recorded as unspecified uterine cancer to correct coding quality problems. Joinpoint models were fitted to estimate change points in trends, as well as the annual (APC) and average annual percentage change. Log-linear Poisson models were also used to study age-period-cohort effects on mortality trends and their change points. 1981 marked the beginning of a decline in cervical cancer mortality (APC(1981-2003): -3.2; 95% CI:-3.4;-3.0) that ended in 2003, with rates reaching a plateau in the last decade (APC2003-2012: 0.1; 95% CI:-0.9; 1.2). This trend, which was observable among women aged 45-46 years (APC(2003-2012): 1.4; 95% CI:-0.1;2.9) and over 65 years (APC(2003-2012): -0.1; 95% CI:-1.9;1.7), was clearest in Spain's Mediterranean and Southern regions. The positive influence of opportunistic screening is not strong enough to further reduce cervical cancer mortality rates in the country. Our results suggest that the Spanish Health Authorities should reform current prevention programmes and surveillance strategies in order to confront the challenges posed by cervical cancer.

Mortality trends for tuberculosis in European Union countries, 2000-2010.

PubMed

Al-Rahamneh, Moad J; Al-Rahamneh, Anas; Guillén-Grima, Francisco; Arnedo-Pena, Alberto; Aguinaga-Ontoso, Inés

The objective of this study was to update and analyze tuberculosis (TB) mortality data in the European Union between 2000 and 2010 separately for men and women and try to detect if there have been any changes in trends in each country and the association with the economic situation and inequalities. Data were extracted for tuberculosis deaths in 2000-2010 for 29 European Union countries and for Switzerland, via the World Health Organization (WHO) European detailed mortality database (DMDB), using the Mortality tabulation list 1 (MTL1) codes for men and women separately for one age group (20-85+). We estimated age-standardised mortality rates, and analyzed data using the Joinpoint Regression Program for men and women separately in the European Union overall and by individual country for each year. Between 2000 and 2010, there were 68,771 recorded tuberculosis deaths in the European Union and the mortality rates were higher for men than women in the entire study zone. Overall, TB mortality rates declined linearly for both genders, but more in women than in men (from 5.43/100,000 in 2000 to 2.59/100,000 in 2010 in men and from 1.37/100,000 in 2000 to 0.51/100,000 in 2010 in women). There was decline in both genders for the entire study period, with a significant Estimated Annual Percentage Change (EAPC) of -8.1 for women and -7 for men when alpha<0.05 and with a 95% confidence interval (CI). A higher tuberculosis mortality was associated with lower economic resources and greater inequalities. TB mortality rates in the European Union decreased overall in 2000-2010 for both genders. Men have higher TB mortality rates than women in all countries. Our findings were consistent with the downward TB mortality trend in many other countries worldwide. Copyright © 2017 Elsevier España, S.L.U. and Sociedad Española de Enfermedades Infecciosas y Microbiología Clínica. All rights reserved.

Increasing trends in the incidence and prevalence rates of type 1 diabetes among children and adolescents in the Netherlands.

PubMed

Fazeli Farsani, Soulmaz; Souverein, Patrick C; van der Vorst, Marja M J; Knibbe, Catherijne A J; Herings, Ron M C; de Boer, Anthonius; Mantel-Teeuwisse, Aukje K

2016-02-01

To assess the trends in the incidence and prevalence rates of type 1 diabetes (T1D) among children and adolescents in the Netherlands. A population-based cohort study was conducted in the Dutch PHARMO record linkage system (1998-2011). All children and adolescents aged ≤19 yr with at least one insulin dispensing (as a proxy for T1D) were identified and the numbers of incident and prevalent cases (numerators) were calculated. Overall age-adjusted (0-19 yr) incidence and prevalence rates together with age- and sex-specific rates of T1D and their 95% confidence intervals (CI) were calculated using data from the Dutch Central Bureau of Statistics as denominator. Trends over time were assessed using Joinpoint regression software (National Cancer Institute, Bethesda, MD, USA). In 2011, the overall age-adjusted incidence and prevalence rates of T1D were 25.2/100 000 (95% CI, 23.7-26.8) person-years (PY) and 174.4/100 000 (95% CI, 170.2-178.5) children, respectively. The average annual percentage change (AAPC) in the overall age-adjusted incidence and prevalence rate was 3.7% (95% CI, 1.8-5.7) and 3.8% (95% CI, 2.4-5.2), respectively. While during the study period the largest increases in the incidence and prevalence rates of T1D were observed for the oldest age groups (10-14 and 15-19 yr), a decreasing trend was detected for the 0- to 4-yr-old category (with AAPCs of -1.8 (95% CI, -9.9 to 7.1) and -6.9% (95% CI, -11.5 to -2.1) for incidence and prevalence, respectively). Age-adjusted incidence (1999-2011) and prevalence rates (1998-2011) of T1D in Dutch children (aged 0-19 yr) continued to increase and a shift was observed to a later onset of the disease. © 2014 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Trends in incidence, mortality and survival of penile squamous cell carcinoma in Norway 1956-2015.

PubMed

Hansen, Bo T; Orumaa, Madleen; Lie, A Kathrine; Brennhovd, Bjørn; Nygård, Mari

2018-04-15

We examine trends in incidence, mortality and survival of penile squamous cell carcinoma (SCC) in Norway over 60 years. Data on all cases of penile cancer diagnosed in Norway during 1956-2015 were obtained from the Cancer Registry of Norway. Trends in age-standardized rates of penile SCC incidence, mortality and 5-year relative survival were assessed by the annual percentage change statistic and joinpoint regression. A total of 1,596 penile cancer cases were diagnosed during 1956-2015, among which 1,474 (92.4%) were SCC. During 2011-2015, the age-standardized incidence and mortality of penile SCC were 0.91 (95% confidence interval (CI): 0.78; 1.05) and 0.50 (0.42; 0.60) per 100,000, respectively, and the 5-year relative survival was 61.6% (41.9; 76.4). The incidence of SCC increased during 1956-2015, with an average annual percentage change (AAPC) of 0.80% (0.46; 1.15). The increase was strongest among men diagnosed at a relatively early age (age<=64 years; AAPC: 1.47% (0.90; 2.05)). Mortality also increased over the study period (AAPC: 0.47% (0.10; 0.85)), whereas 5-year relative survival did not change (AAPC: 0.08% (-0.19; 0.36)). We conclude that the incidence of penile SCC has increased at a moderate and constant rate during 1956-2015, and that the most consistent increase occurred among younger men. Mortality also increased during the study period. However, survival did not change, thus changes in diagnostics and treatment had little impact on survival from penile SCC. Since a substantial proportion of penile SCC is caused by human papillomavirus (HPV), the incidence increase may in part be attributed to increased exposure to HPV in the population. © 2017 The Authors International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Reduction in Neisseria meningitidis infection in Italy after Meningococcal C conjugate vaccine introduction: A time trend analysis of 1994–2012 series

PubMed Central

de Waure, Chiara; Miglietta, Alessandro; Nedovic, Darko; Mereu, Giovanna; Ricciardi, Walter

2016-01-01

The incidence of invasive meningococcal disease (IMD) in Italy is among the lowest in Europe. Meningococcal C conjugate vaccine (MCC) was introduced in 2005 for 12 months old infants. The aim of this study was to describe the epidemiology of IMD in Italy from 1994 to 2012 and to evaluate the impact of MCC introduction. Data about Neisseria meningitidis (N. meningitidis) cases were drawn from the National Surveillance of Invasive Bacterial Diseases. The average incidence of IMD during 1994–2012 in Italy was 0.36 per 100,000 (95%CI 0.30; 0.40). N. meningitidis B was the most frequent serogroup and infants less than 12 months old were the most affected. Joinpoint analysis showed a statistically significant reduction in the incidence of N. meningitidis C related IMD after MCC introduction: the Annual Percentage Change declined from 21.8 (95%CI 15.1; 28.9) in 1994–2005 to −19.9 (95%CI −28.2; −10.7) afterwards. No changes were observed with respect to N. meningitidis B related IMD. Poisson regression showed a statistically significant reduction in the incidence of IMD both associated to N. meningitidis C (Incidence Rate Ratio 0.33; 95%CI 0.29; 0.37) and due to all serogroups (Incidence Rate Ratio 0.70; 95%CI 0.65; 0.75) in the post-vaccination period compared to the pre-vaccination one. On the other hand, the incidence of N. meningitidis B related IMD did not decrease. Our results suggest that MCC had an impact in decreasing the incidence of N. meningitidis C related IMD. However, data on typing are incomplete and efforts are needed to make them available for studying the need and the impact of other meningococcal vaccines. PMID:26308192

Trends in procedures for infertility and caesarean sections: was NICE disinvestment guidance implemented? NICE recommendation reminders.

PubMed

Chamberlain, Charlotte A; Martin, Richard M; Busby, John; Gilbert, Rebecca; Cahill, David J; Hollingworth, William

2013-02-06

National Institute for Health and Clinical Excellence (NICE) clinical guidelines and subsequent NICE issued 'recommendation reminders' advocate discontinuing two fertility procedures and caesarean sections in women with hepatitis. We assess whether NICE guidance in 2004 and recommendation reminders were associated with a change in the rate of clinical procedures performed. Routine inpatient Hospital Episode Statistics (HES) data were extracted from the HES database for 1st April 1998 to 31st March 2010 using OPCS procedure codes for varicocele operations in infertile men, endometrial biopsies in infertile women and caesarean sections in women with hepatitis B or C. We used Joinpoint regression to identify points in time when the trend in procedure rates changed markedly, to identify any influence of the release of NICE guidance. Between 1998-2010, planned caesarean sections in women with and without hepatitis B or C increased yearly (annual percentage change (APC) 4.9%, 95% CI 2.1% to 7.7%) in women with hepatitis, compared with women without (APC 4.0% [95% CI 2.7% to 5.3%] up to 2001, APC -0.6% [95% CI -2.8% to 1.8%] up to 2004 and 1.3% [95% CI 0.8% to 1.8%] up to 2010). In infertile women under 40 years of age, endometrial biopsies for investigation of infertility increased, APC 6.0% (95% CI 3.6% to 8.4%) up to 2003, APC 1.5% (95% CI -4.3% to 7.7%) to 2007 followed by APC 12.8% (95% CI 1.0% to 26.0%) to 2010. Varicocele procedures remained relatively static between 1998 and 2010 (APC -0.5%, 95% CI -2.3% to 1.3%). There was no decline in use of the three studied procedures, contrary to NICE guidance, and no change in uptake associated with the timing of NICE guidance or recommendation reminders. 'Do not do' recommendation reminders may be ineffective at improving clinical practice or achieving disinvestment.

Trends in annual sales and current use of cigarettes, cigars, roll-your-own tobacco, pipes, and smokeless tobacco among US adults, 2002-2012.

PubMed

Agaku, Israel T; Alpert, Hillel R

2016-07-01

Regulatory imbalances exist in the treatment of cigarettes and non-cigarette tobacco products in the USA. We assessed whether declines in cigarette consumption during 2002-2012 were offset by increased use of non-cigarette tobacco products-cigars, pipes, roll-your-own (RYO) and smokeless tobacco. Industry-reported taxable removals (actual sales) were converted into packs for cigarettes and cigarette pack equivalents (CPEs) for loose tobacco (RYO plus pipe tobacco) and moist snuff. Cigars were not converted to CPEs because of their heterogeneity in size/tobacco content. Per capita sales were calculated for the US adult population aged ≥18 years based on the US Census Bureau data. Self-reported data on current (past 30-day) tobacco use among US adults aged ≥18 years were from the National Survey on Drug Use and Health (NSDUH). Joinpoint and logistic regression were used to assess linear trends during 2002-2012. During 2002-2012, cigarette sales declined from 96.91 to 59.85 cigarette packs per capita; increases occurred for sale of cigars (30.51-57.42 cigars per capita), loose tobacco (2.50-5.63 CPEs per capita) and moist snuff (10.64-14.58 CPEs per capita; all p<0.05 for trend). Self-reported current cigarette smoking declined during 2002-2012 (27.4-23.6%); increases were noted for current RYO (2.6-3.6%) and smokeless tobacco use (3.5-3.7%; all p<0.05 for trend). The increase in non-cigarette tobacco consumption is a public health concern because all tobacco products are harmful. Eliminating imbalances in tax structure and regulations between cigarettes and non-cigarette tobacco products may help reduce aggregate tobacco consumption. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

Trends in incidence, mortality and survival of penile squamous cell carcinoma in Norway 1956–2015

PubMed Central

Orumaa, Madleen; Lie, A. Kathrine; Brennhovd, Bjørn; Nygård, Mari

2017-01-01

We examine trends in incidence, mortality and survival of penile squamous cell carcinoma (SCC) in Norway over 60 years. Data on all cases of penile cancer diagnosed in Norway during 1956–2015 were obtained from the Cancer Registry of Norway. Trends in age‐standardized rates of penile SCC incidence, mortality and 5‐year relative survival were assessed by the annual percentage change statistic and joinpoint regression. A total of 1,596 penile cancer cases were diagnosed during 1956–2015, among which 1,474 (92.4%) were SCC. During 2011–2015, the age‐standardized incidence and mortality of penile SCC were 0.91 (95% confidence interval (CI): 0.78; 1.05) and 0.50 (0.42; 0.60) per 100,000, respectively, and the 5‐year relative survival was 61.6% (41.9; 76.4). The incidence of SCC increased during 1956–2015, with an average annual percentage change (AAPC) of 0.80% (0.46; 1.15). The increase was strongest among men diagnosed at a relatively early age (age<=64 years; AAPC: 1.47% (0.90; 2.05)). Mortality also increased over the study period (AAPC: 0.47% (0.10; 0.85)), whereas 5‐year relative survival did not change (AAPC: 0.08% (−0.19; 0.36)). We conclude that the incidence of penile SCC has increased at a moderate and constant rate during 1956–2015, and that the most consistent increase occurred among younger men. Mortality also increased during the study period. However, survival did not change, thus changes in diagnostics and treatment had little impact on survival from penile SCC. Since a substantial proportion of penile SCC is caused by human papillomavirus (HPV), the incidence increase may in part be attributed to increased exposure to HPV in the population. PMID:29205336

Estimating average annual per cent change in trend analysis

PubMed Central

Clegg, Limin X; Hankey, Benjamin F; Tiwari, Ram; Feuer, Eric J; Edwards, Brenda K

2009-01-01

Trends in incidence or mortality rates over a specified time interval are usually described by the conventional annual per cent change (cAPC), under the assumption of a constant rate of change. When this assumption does not hold over the entire time interval, the trend may be characterized using the annual per cent changes from segmented analysis (sAPCs). This approach assumes that the change in rates is constant over each time partition defined by the transition points, but varies among different time partitions. Different groups (e.g. racial subgroups), however, may have different transition points and thus different time partitions over which they have constant rates of change, making comparison of sAPCs problematic across groups over a common time interval of interest (e.g. the past 10 years). We propose a new measure, the average annual per cent change (AAPC), which uses sAPCs to summarize and compare trends for a specific time period. The advantage of the proposed AAPC is that it takes into account the trend transitions, whereas cAPC does not and can lead to erroneous conclusions. In addition, when the trend is constant over the entire time interval of interest, the AAPC has the advantage of reducing to both cAPC and sAPC. Moreover, because the estimated AAPC is based on the segmented analysis over the entire data series, any selected subinterval within a single time partition will yield the same AAPC estimate—that is it will be equal to the estimated sAPC for that time partition. The cAPC, however, is re-estimated using data only from that selected subinterval; thus, its estimate may be sensitive to the subinterval selected. The AAPC estimation has been incorporated into the segmented regression (free) software Joinpoint, which is used by many registries throughout the world for characterizing trends in cancer rates. Copyright © 2009 John Wiley & Sons, Ltd. PMID:19856324

Trends in AIDS-related mortality among people aged 60 years and older in Brazil: a nationwide population-based study.

PubMed

Lima, Mauricélia da Silveira; Firmo, Andréa Acioly Maia; Martins-Melo, Francisco Rogerlândio

2016-12-01

The success of antiretroviral therapy has led to an increase in the number of older people living with human immunodeficiency virus worldwide. This study analyzed the epidemiological patterns and time trends of acquired immunodeficiency syndrome (AIDS) related mortality in people aged 60 and older in Brazil from 2000 to 2011. Secondary mortality data from the Brazilian Mortality Information System was used to perform a nationwide population-based study, which included all AIDS-related deaths among people aged 60 years and older in Brazil from 2000 to 2011. Crude and age-adjusted mortality rates (per 100,000 inhabitants) were calculated by sex, age group and place of residence. Trends over time were assessed using joinpoint regression analysis. In the 12-year study period, 12,491,280 deaths were recorded in Brazil, of which 144,175 were AIDS-related deaths. A total of 8194 AIDS-related deaths was identified in people aged 60 years and older (0.12% of all deaths and 5.7% of AIDS-related deaths). The overall age-adjusted mortality rate for the period was 4.30 deaths/100,000 inhabitants (95% confidence interval: 3.99-4.64). Males (6.45 deaths/100,000 inhabitants), aged 60-64 years (6.63 deaths/100,000 inhabitants) and residing in the South region (5.94 deaths/100,000 inhabitants) had the highest mortality rates. We observed a significant increase in mortality at the national level and in all the Brazilian regions, with a sharper increase in the most socioeconomically disadvantaged regions of the country, such as the North and Northeast. The findings show that AIDS in older people is an increasing public health problem in Brazil, and reinforce the need to establish public policies for the prevention, early diagnosis and appropriate clinical treatment of this age group.

The long-term spatial-temporal trends and burden of esophageal cancer in one high-risk area: A population-registered study in Feicheng, China

PubMed Central

Sun, Xiubin; Zhao, Deli; Liu, Yi; Liu, Yunxia; Yuan, Zhongshang; Wang, Jialin; Xue, Fuzhong

2017-01-01

Background Feicheng County is a high-risk area for esophageal cancer in Shandong province, China. It is important to determine the long-term spatio-temporal trends in epidemiological characteristics and the burden of esophageal cancer, especially since the implementation of the national esophageal cancer screening program for early detection and treatment in 2005. Methods The data collected in Feicheng County from 2001 to 2012 was extracted from the whole-population cancer registry system. The incidence, mortality, disability-adjusted life years (DALY) and changing trends in esophageal cancer according to age and sex were calculated and described. Results The incidence rate of esophageal cancer in Feicheng was consistently high, and increased significantly for male, but not for female from 2001 to 2012, according to the joinpoint regression analysis. The highest and lowest yearly crude incidence rates were 160.78 and 95.97 per 100000 for males, and 81.36 and 52.17 per 100000 for females. The highest and lowest crude yearly mortality rates were 122.26 and 94.40 per 100000 for males, and 60.75 and 49.35 per 100000for females. Esophageal squamous cell carcinoma was the main pathology type and the tumor location changed significantly from 2001 to 2012. Overall, the DALY remained roughly stable and was estimated as 11.50 for males and 4.90 for females per 1000 people. The burden was mainly caused by premature death. There is an obvious spatial pattern in the distribution of incidence density and burden. Conclusion Esophageal cancer remains a public health issue in Feicheng County with a high incidence, mortality and disease burden. The incidence and burden have obvious spatial heterogeneity, and further studies should be conducted to identify geographical risk factors for precise local prevention and control measures. PMID:28267769

Ten-years trends in renal replacement therapy for end-stage renal disease in mainland France: Lessons from the French Renal Epidemiology and Information Network (REIN) registry.

PubMed

Vigneau, Cécile; Kolko, Anne; Stengel, Bénédicte; Jacquelinet, Christian; Landais, Paul; Rieu, Philippe; Bayat, Sahar; Couchoud, Cécile

2017-06-01

The incidence rate of renal replacement therapy (RRT) for end-stage renal disease (ESRD) is decreasing in several countries, but not in France. We studied the RRT trends in mainland France from 2005 to 2014 to understand the reasons for this discrepancy and determine the effects of ESRD management changes. Data were extracted from the French Renal Epidemiology and Information Network registry. Time trends of RRT incidence and prevalence rates, patients' clinical and treatment characteristics were analysed using the Joinpoint regression program and annual percentage changes. Survival within the first year of RRT was analysed using Kaplan-Meier estimates for 4 periods of time. The overall age- and gender-adjusted RRT incidence rate increased from 144 to 159 individuals per million inhabitants (pmi) (+0.8% per year; 95% CI: 0.5-1.2) and the prevalence from 903 to 1141 pmi (+2.4% per year; 95% CI: 2.2-2.7). This increase concerned exclusively ESRD associated with type 2 diabetes (+4.0%; 3.4-4.6) and mostly elderly men. Despite patient aging and increasing comorbidity burden and a persistent 30% rate of emergency dialysis start, the one-year survival rate slightly improved from 82.1% (81.4-82.8) to 83.8% (83.3-84.4). Pre-emptive wait listing for renal transplantation and the percentage of wait-listed patients within one year after dialysis start strongly increased (from 5.6% to 15.5% and from 29% to 39%, respectively). Kidney transplantation and survival significantly improved despite the heavier patient burden. However, the rise in type 2 diabetes-related ESRD and the stable high rate of emergency dialysis start remain major issues. Copyright © 2016 Association Société de néphrologie. Published by Elsevier Masson SAS. All rights reserved.

Time trend in incidence of malignant neoplasms of the central nervous system in relation to mobile phone use among young people in Japan.

PubMed

Sato, Yasuto; Kiyohara, Kosuke; Kojimahara, Noriko; Yamaguchi, Naohito

2016-07-01

The aim of this study was to examine whether incidence of malignant neoplasms of the central nervous system from 1993 to 2010 has increased among young people in Japan, and whether the increase could be explained by increase in mobile phone use. Joinpoint regression analysis of incidence data was performed. Subsequently, the expected incidence rate was calculated assuming that the relative risk was 1.4 for those who used mobile phones more than 1640 h cumulatively. Annual percent change was 3.9% (95% confidence interval [CI], 1.6-6.3) for men in their 20s from 1993 to 2010, 12.3% (95% CI, 3.3-22.1) for women in their 20s from 2002 to 2010, 2.7% (95% CI, 1.3-4.1) for men in their 30s from 1993 to 2010, and 3.0% (95% CI, 1.4-4.7) for women in their 30s from 1993 to 2010. Change in incidence rates from 1993 to 2010 was 0.92 per 100,000 people for men in their 20s, 0.83 for women in their 20s, 0.89 for men in their 30s, and 0.74 for women in their 30s. Change in expected incidence rates from 1993 to 2010 was 0.08 per 100,000 people for men in their 20s, 0.03 for women in their 20s, 0.15 for men in their 30s, and 0.05 for women in their 30s. Patterns in sex-, age-, and period-specific incidence increases are inconsistent with sex-, age-, and period-specific prevalence trends, suggesting the overall incidence increase cannot be explained by heavy mobile phone use. Bioelectromagnetics. 37:282-289, 2016. © 2016 Wiley Periodicals, Inc. © 2016 Wiley Periodicals, Inc.

Fall-related mortality in southern Sweden: a multiple cause of death analysis, 1998-2014.

PubMed

Kiadaliri, Aliasghar A; Rosengren, Björn E; Englund, Martin

2017-10-22

To investigate temporal trend in fall mortality among adults (aged ≥20 years) in southern Sweden using multiple cause of death data. We examined all death certificates (DCs, n=2 01 488) in adults recorded in the Skåne region during 1998-2014. We identified all fall deaths using International Statistical Classification of Diseases (ICD)-10 codes (W00-W19) and calculated the mortality rates by age and sex. Temporal trends were evaluated using joinpoint regression and associated causes were identified by age-adjusted and sex-adjusted observed/expected ratios. Falls were mentioned on 1.0% and selected as underlying cause in 0.7% of all DCs, with the highest frequency among those aged ≥70 years. The majority (75.6%) of fall deaths were coded as unspecified fall (ICD-10 code: W19) followed by falling on or from stairs/steps (7.7%, ICD-10 code: W10) and other falls on the same level (6.3%, ICD-10 code: W18). The mean age at fall deaths increased from 77.5 years in 1998-2002 to 82.9 years in 2010-2014 while for other deaths it increased from 78.5 to 79.8 years over the same period. The overall mean age-standardised rate of fall mortality was 8.3 and 4.0 per 1 00 000 person-years in men and women, respectively, and increased by 1.7% per year in men and 0.8% per year in women during 1998-2014. Head injury and diseases of the circulatory system were recorded as contributing cause on 48.7% of fall deaths. There is an increasing trend of deaths due to falls in southern Sweden. Further investigations are required to explain this observation particularly among elderly men. © Article author(s) (or their employer(s) unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Age-period-cohort analysis of suicide mortality by gender among white and black Americans, 1983-2012.

PubMed

Wang, Zhenkun; Yu, Chuanhua; Wang, Jinyao; Bao, Junzhe; Gao, Xudong; Xiang, Huiyun

2016-07-13

Previous studies suggested that the racial differences in U.S. suicide rates are decreasing, particularly for African Americans, but the cause behind the temporal variations has yet to be determined. This study aims to investigate the long-term trends in suicide mortality in the U.S. between 1983 and 2012 and to examine age-, period-, and cohort-specific effects by gender and race. Suicide mortality data were collected from the Web-based Injury Statistics Query and Reporting System (WISQARS) and analyzed with the Joinpoint regression and age-period-cohort (APC) analysis. We found that although age-standardized rate of suicide in white males, white females, black males, and black females all changed at different degrees, the overall situation almost has not changed since these changes offset each other. By APC analysis, while the age effect on suicide demonstrate an obvious difference between white males and females (with the peak at 75 to 79 for white males and 45 to 54 for white females), young black people are predominantly susceptible to suicide (risk peaks in early 20s for black males and late 20s for black females). Cohort effects all showed a descending trend, except that in white males and females which showed an obvious increase peaked in around cohort 1960. There was a similar period effect trend between different genders in the same race group, but between the races, differences were found in the period before 1990 and after 2000. We confirmed that the distinction in age-specific suicide rate patterns does exist by gender and by race after controlling for period and cohort effects, which suggested that minorities' age patterns of suicide may have been masked up by the white people in the whole population. The differences of period effects and cohort effects between white and black Americans were likely to be mainly explained by the difference in race susceptibility to economic depression.

Was the economic crisis 1997-1998 responsible for rising suicide rates in East/Southeast Asia? A time-trend analysis for Japan, Hong Kong, South Korea, Taiwan, Singapore and Thailand.

PubMed

Chang, Shu-Sen; Gunnell, David; Sterne, Jonathan A C; Lu, Tsung-Hsueh; Cheng, Andrew T A

2009-04-01

In 1997-1998 a widespread economic crisis hit the economies of many East/Southeast Asian countries; its impact on suicide rates across the region has not been systematically documented. We investigated the impact of the Asian economic crisis (1997-1998) on suicide in Japan, Hong Kong, South Korea, Taiwan, Singapore and Thailand. Suicide and population data for the period 1985-2006 were extracted from the World Health Organisation's mortality database and Taiwanese mortality statistics. Sex-specific age-standardised suicide rates for people aged 15years or above were analysed using joinpoint regression. Trends in divorce, marriage, unemployment, gross domestic product (GDP) per capita and alcohol consumption were compared with trends in suicide rates graphically and using time-series analysis. Suicide mortality decreased in the late 1980s and early 1990s but subsequently increased markedly in all countries except Singapore, which had steadily declining suicide rates throughout the study period. Compared to 1997, male rates in 1998 rose by 39% in Japan, 44% in Hong Kong and 45% in Korea; rises in female rates were less marked. Male rates also rose in Thailand, but accurate data were incomplete. The economic crisis was associated with 10,400 more suicides in 1998 compared to 1997 in Japan, Hong Kong and Korea. Similar increases in suicide rates were not seen in Taiwan and Singapore, the two countries where the economic crisis had a smaller impact on GDP and unemployment. Time-series analyses indicated that some of the crisis's impact on male suicides was attributable to increases in unemployment. These findings suggest an association of the Asian economic crisis with a sharp increase in suicide mortality in some, but not all, East/Southeast Asian countries, and that these increases were most closely associated with rises in unemployment.

Global temporal patterns of pancreatic cancer and association with socioeconomic development.

PubMed

Wong, Martin C S; Jiang, Johnny Y; Liang, Miaoyin; Fang, Yuan; Yeung, Ming Sze; Sung, Joseph J Y

2017-06-09

Pancreatic cancer induces a substantial global burden. We examined its global incidence/mortality rates and their correlation with socioeconomic development (Human Development Index [HDI] and Gross Domestic Product [GDP] in 2000 as proxy measures). Data on age-standardized incidence/mortality rates in 2012 were retrieved from the GLOBOCAN database. Temporal patterns in 1998-2007 were assessed for 39 countries according to gender. The Average Annual Percent Change (AAPC) of the incidence/mortality trends was evaluated using joinpoint regression analysis. The age-standardized incidence ranged between 0.8-8.9/100,000. When compared among countries, Brazil (AAPC = 10.4, 95%C.I. = 0.8,21) and France (AAPC = 4.7, 95%C.I. = 3.6,5.9) reported the highest incidence rise in men. The greatest increase in women was reported in Thailand (AAPC = 7, 95%C.I. = 2.1,12.1) and Ecuador (AAPC = 4.3, 95%C.I. = 1.3,7.3). For mortality, the Philippines (APCC = 4.3, 95%C.I. = 2,6.6) and Croatia (AAPC = 2, 95% C.I. = 0,3.9) reported the biggest increase among men. The Philippines (AAPC = 5.8, 95% C.I. 4.5,7.2) and Slovakia (AAPC = 3.1, 95% C.I. 0.9,5.3) showed the most prominent rise among women. Its incidence was positively correlated with HDI (men: r = 0.66; women: r = 0.70) and GDP (men: r = 0.29; women: r = 0.28, all p < 0.05), and similarly for mortality (men: r = 0.67; women: r = 0.72 [HDI]; men: r = 0.23; women: r = 0.28 [GDP]). In summary, the incidence and mortality of pancreatic cancer were rising in many countries, requiring regular surveillance.

Trends of main indicators of leprosy in Brazilian municipalities with high risk of leprosy transmission, 2001-2012.

PubMed

Freitas, Lucia R S; Duarte, Elisabeth C; Garcia, Leila P

2016-09-05

Leprosy incidence has reduced in recent years in Brazil, although the disease still persists as a public health problem in some regions. To investigate the trends of selected leprosy indicators in Brazilian municipalities with high risk of transmission is essential to provide effective control of the disease, yet this area has not been investigated. This is an ecological time-series study with multiple groups using Notifiable Diseases Information System (SINAN) data. All 692 municipalities of the states of Mato Grosso, Tocantins, Rondônia, Pará and Maranhão were included. The incidence rates of leprosy were calculated, as well as incidence rates in children under 15 years per 100,000 inhabitants and rates of new cases presenting grade-2 disabilities per 100,000 inhabitants. Joinpoint Regression was used to analyse the time trends of the different indicators studied. The spatial distribution of temporal variations of the indicators in the period was presented. Between 2001 and 2012, 176,929 leprosy cases were notified in the area studied, this being equivalent to 34.6 % of total cases in Brazil. In the aggregate of municipalities, there was a reduction in incidence rate of leprosy from 89.10 to 56.98 new cases per 100,000 inhabitants between 2001 and 2012, with a significant reduction between 2003 and 2012 (APC: - 6.2 %, 95 % CI: -7.2 % to -5.2 %). The incidence rate in <15 years also reduced significantly between 2003 and 2012 (APC: -5.6 %; 95 % CI: -7.2 % to -4.1 %). The rate of new cases with grade 2 disability remained stable between 2001 and 2012 (APC: -1.3 %; 95 % CI: -2.6 % to 0.1 %). Despite the reduction in the leprosy incidence rate, strategies for controlling this disease need to be enhanced to enable early case detection, especially in hyperendemic municipalities, in order to prevent disability.

An ecological study of prostate cancer mortality in the USA and UK, 1975-2004: are divergent trends a consequence of treatment, screening or artefact?

PubMed Central

Collin, Simon M; Martin, Richard M; Metcalfe, Chris; Gunnell, David; Albertsen, Peter; Neal, David; Hamdy, Freddie; Stephens, Peter; Lane, J Athene; Moore, Rollo; Donovan, Jenny

2009-01-01

Background There is no conclusive evidence that screening based on prostate-specific antigen (PSA) tests reduces prostate cancer mortality. In the USA uptake of PSA testing has been rapid, but is much less common in the UK. Purpose To investigate trends in prostate cancer mortality and incidence in the USA and UK from 1975-2004, contrasting these with trends in screening and treatment. Methods Joinpoint regression analysis of cancer mortality statistics from Cancer Research UK and the USA National Cancer Institute Surveillance Epidemiology and End Results (SEER) program was used to estimate the annual percentage change in prostate cancer mortality in each country and the points in time when trends changed. Results Age-specific and age-adjusted prostate cancer mortality peaked in the early 1990s at almost identical rates in both countries, but age-adjusted mortality in the USA subsequently declined by 4.2% (95% CI 4.0-4.3%) per annum, four times the rate of decline in the UK (1.1%; 0.8-1.4%). The mortality decline in the USA was greatest and most sustained in those ≥75 years, whereas death rates had plateaued in this age group in the UK by 2000. Conclusion The striking decline in prostate cancer mortality in the USA compared with the UK between 1994-2004 coincided with much higher uptake of PSA screening in the USA. Explanations for the different trends in mortality include the possibility of an early impact of initial screening rounds on men with more aggressive asymptomatic disease in the USA, different approaches to treatment in the two countries, and bias related to the misattribution of cause of death. Speculation over the role of screening will continue until evidence from randomised controlled trials is published. PMID:18424233

Inequalities in global health inequalities research: A 50-year bibliometric analysis (1966-2015)

PubMed Central

Pericàs, Juan M.; Benach, Joan

2018-01-01

Background Increasing evidence shows that health inequalities exist between and within countries, and emphasis has been placed on strengthening the production and use of the global health inequalities research, so as to improve capacities to act. Yet, a comprehensive overview of this evidence base is still needed, to determine what is known about the global and historical scientific production on health inequalities to date, how is it distributed in terms of country income groups and world regions, how has it changed over time, and what international collaboration dynamics exist. Methods A comprehensive bibliometric analysis of the global scientific production on health inequalities, from 1966 to 2015, was conducted using Scopus database. The historical and global evolution of the study of health inequalities was considered, and through joinpoint regression analysis and visualisation network maps, the preceding questions were examined. Findings 159 countries (via authorship affiliation) contributed to this scientific production, three times as many countries than previously found. Scientific output on health inequalities has exponentially grown over the last five decades, with several marked shift points, and a visible country-income group affiliation gradient in the initiation and consistent publication frequency. Higher income countries, especially Anglo-Saxon and European countries, disproportionately dominate first and co-authorship, and are at the core of the global collaborative research networks, with the Global South on the periphery. However, several country anomalies exist that suggest that the causes of these research inequalities, and potential underlying dependencies, run deeper than simply differences in country income and language. Conclusions Whilst the global evidence base has expanded, Global North-South research gaps exist, persist and, in some cases, are widening. Greater understanding of the structural determinants of these research inequalities and national research capacities is needed, to further strengthen the evidence base, and support the long term agenda for global health equity. PMID:29385197

Global Incidence and Mortality for Prostate Cancer: Analysis of Temporal Patterns and Trends in 36 Countries.

PubMed

Wong, Martin C S; Goggins, William B; Wang, Harry H X; Fung, Franklin D H; Leung, Colette; Wong, Samuel Y S; Ng, Chi Fai; Sung, Joseph J Y

2016-11-01

Prostate cancer (PCa) is a leading cause of mortality and morbidity globally, but its specific geographic patterns and temporal trends are under-researched. To test the hypotheses that PCa incidence is higher and PCa mortality is lower in countries with higher socioeconomic development, and that temporal trends for PCa incidence have increased while mortality has decreased over time. Data on age-standardized incidence and mortality rates in 2012 were retrieved from the GLOBOCAN database. Temporal patterns were assessed for 36 countries using data obtained from Cancer incidence in five continents volumes I-X and the World Health Organization mortality database. Correlations between incidence or mortality rates and socioeconomic indicators (human development index [HDI] and gross domestic product [GDP]) were evaluated. The average annual percent change in PCa incidence and mortality in the most recent 10 yr according to join-point regression. Reported PCa incidence rates varied more than 25-fold worldwide in 2012, with the highest incidence rates observed in Micronesia/Polynesia, the USA, and European countries. Mortality rates paralleled the incidence rates except for Africa, where PCa mortality rates were the highest. Countries with higher HDI (r=0.58) and per capita GDP (r=0.62) reported greater incidence rates. According to the most recent 10-yr temporal data available, most countries experienced increases in incidence, with sharp rises in incidence rates in Asia and Northern and Western Europe. A substantial reduction in mortality rates was reported in most countries, except in some Asian countries and Eastern Europe, where mortality increased. Data in regional registries could be underestimated. PCa incidence has increased while PCa mortality has decreased in most countries. The reported incidence was higher in countries with higher socioeconomic development. The incidence of prostate cancer has shown high variations geographically and over time, with smaller variations in mortality. Copyright © 2016 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Impact of Enhanced Detection on the Increase in Thyroid Cancer Incidence in the United States: Review of Incidence Trends by Socioeconomic Status Within the Surveillance, Epidemiology, and End Results Registry, 1980–2008

PubMed Central

Li, Nan; Du, Xianglin L.; Reitzel, Lorraine R.; Xu, Li

2013-01-01

Background In the past 3 decades, the incidence of thyroid cancer in the United States has been increasing. There has been debate on whether the increase is real or an artifact of improved diagnostic scrutiny. Our hypothesis is that both improved detection and a real increase have contributed to the increase. Methods Because socioeconomic status (SES) may be a surrogate for access to diagnostic technology, we compared thyroid cancer incidence trends between high- and low-SES counties within the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries. The incidence trends were assessed using joinpoint regression analysis. Results In high-SES counties, thyroid cancer incidence increased moderately (annual percentage change 1 [APC1]=2.5, p<0.05) before the late 1990s and more pronounced (APC2=6.3, p<0.05) after the late 1990s. In low-SES counties, incidence increased steadily with an APC of 3.5 (p<0.05) during the entire study period (1980–2008). For tumors ≤4.0 cm, incidence was higher in high-SES counties, and APC was higher for high- than low-SES counties after the late 1990s. For tumors >4.0 cm, high- and low-SES counties had similar increasing incidence trends. Similarly, for tumors ≤2.0 cm, the incidence trends differed between counties that are in or adjacent to metropolitan areas and counties that are in rural areas, whereas for tumors >2.0 cm, all counties regardless of area of residence had similar increasing trends. Conclusions Enhanced detection likely contributed to the increased thyroid cancer incidence in the past decades, but cannot fully explain the increase, suggesting that a true increase exists. Efforts should be made to identify the cause of this true increase. PMID:23043274

Impact of enhanced detection on the increase in thyroid cancer incidence in the United States: review of incidence trends by socioeconomic status within the surveillance, epidemiology, and end results registry, 1980-2008.

PubMed

Li, Nan; Du, Xianglin L; Reitzel, Lorraine R; Xu, Li; Sturgis, Erich M

2013-01-01

In the past 3 decades, the incidence of thyroid cancer in the United States has been increasing. There has been debate on whether the increase is real or an artifact of improved diagnostic scrutiny. Our hypothesis is that both improved detection and a real increase have contributed to the increase. Because socioeconomic status (SES) may be a surrogate for access to diagnostic technology, we compared thyroid cancer incidence trends between high- and low-SES counties within the Surveillance, Epidemiology, and End Results 9 (SEER 9) registries. The incidence trends were assessed using joinpoint regression analysis. In high-SES counties, thyroid cancer incidence increased moderately (annual percentage change 1 [APC1]=2.5, p<0.05) before the late 1990s and more pronounced (APC2=6.3, p<0.05) after the late 1990s. In low-SES counties, incidence increased steadily with an APC of 3.5 (p<0.05) during the entire study period (1980-2008). For tumors ≤4.0 cm, incidence was higher in high-SES counties, and APC was higher for high- than low-SES counties after the late 1990s. For tumors >4.0 cm, high- and low-SES counties had similar increasing incidence trends. Similarly, for tumors ≤2.0 cm, the incidence trends differed between counties that are in or adjacent to metropolitan areas and counties that are in rural areas, whereas for tumors >2.0 cm, all counties regardless of area of residence had similar increasing trends. Enhanced detection likely contributed to the increased thyroid cancer incidence in the past decades, but cannot fully explain the increase, suggesting that a true increase exists. Efforts should be made to identify the cause of this true increase.

Central nervous system tumours among adolescents and young adults (15-39 years) in Southern and Eastern Europe: Registration improvements reveal higher incidence rates compared to the US.

PubMed

Georgakis, Marios K; Panagopoulou, Paraskevi; Papathoma, Paraskevi; Tragiannidis, Athanasios; Ryzhov, Anton; Zivkovic-Perisic, Snezana; Eser, Sultan; Taraszkiewicz, Łukasz; Sekerija, Mario; Žagar, Tina; Antunes, Luis; Zborovskaya, Anna; Bastos, Joana; Florea, Margareta; Coza, Daniela; Demetriou, Anna; Agius, Domenic; Strahinja, Rajko M; Sfakianos, Georgios; Nikas, Ioannis; Kosmidis, Sofia; Razis, Evangelia; Pourtsidis, Apostolos; Kantzanou, Maria; Dessypris, Nick; Petridou, Eleni Th

2017-11-01

To present incidence of central nervous system (CNS) tumours among adolescents and young adults (AYAs; 15-39 years) derived from registries of Southern and Eastern Europe (SEE) in comparison to the Surveillance, Epidemiology and End Results (SEER), US and explore changes due to etiological parameters or registration improvement via evaluating time trends. Diagnoses of 11,438 incident malignant CNS tumours in AYAs (1990-2014) were retrieved from 14 collaborating SEE cancer registries and 13,573 from the publicly available SEER database (1990-2012). Age-adjusted incidence rates (AIRs) were calculated; Poisson and joinpoint regression analyses were performed for temporal trends. The overall AIR of malignant CNS tumours among AYAs was higher in SEE (28.1/million) compared to SEER (24.7/million). Astrocytomas comprised almost half of the cases in both regions, albeit the higher proportion of unspecified cases in SEE registries (30% versus 2.5% in SEER). Similar were the age and gender distributions across SEE and SEER with a male-to-female ratio of 1.3 and an overall increase of incidence by age. Increasing temporal trends in incidence were documented in four SEE registries (Greater Poland, Portugal North, Turkey-Izmir and Ukraine) versus an annual decrease in Croatia (-2.5%) and a rather stable rate in SEER (-0.3%). This first report on descriptive epidemiology of AYAs malignant CNS tumours in the SEE area shows higher incidence rates as compared to the United States of America and variable temporal trends that may be linked to registration improvements. Hence, it emphasises the need for optimisation of cancer registration processes, as to enable the in-depth evaluation of the observed patterns by disease subtype. Copyright © 2017 Elsevier Ltd. All rights reserved.

Opposite trends in the consumption of manufactured and roll-your-own cigarettes in Spain (1991-2020).

PubMed

Fu, Marcela; Martínez-Sánchez, Jose M; Clèries, Ramon; Villalbí, Joan R; Daynard, Richard A; Connolly, Gregory N; Fernández, Esteve

2014-12-10

The aim of this study is to describe trends in the consumption of manufactured and roll-your-own cigarettes between 1991 and 2012 in Spain, and to project these trends up to 2020. We estimated daily consumption per capita during 1991-2012 using data on sales of manufactured cigarettes (20-packs) and rolling tobacco (kg) from the Tobacco Market Commission, and using data of the Spanish adult population from the National Statistics Institute. We considered different weights (0.5, 0.8 and 1 g) to compute the number of rolled cigarettes per capita. We computed the annual per cent of change and assessed possible changes in trends using joinpoint regression, and projected the consumption up to 2020 using Bayesian methods. Daily consumption per capita of manufactured cigarettes decreased on average by 3.0% per year in 1991-2012, from 7.6 to 3.8 units, with three trend changes. However, daily consumption per capita of roll-your-own cigarettes increased on average by 14.1% per year, from 0.07 to 0.92 units of 0.5 g, with unchanged trends. Together, daily consumption per capita decreased between 2.9% and 2.5%, depending on the weight of the roll-your-own cigarettes. Projections up to 2020 indicate a decrease of manufactured cigarettes (1.75 units per capita) but an increase of roll-your-own cigarettes (1.25 units per capita). While the consumption per capita of manufactured cigarettes has decreased in the past years in Spain, the consumption of roll-your-own cigarettes has increased at an annual rate around 14% over the past years. Whereas a net decrease in cigarette consumption is expected in the future, use of roll-your-own cigarettes will continue to increase. Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.

[Safety and health in workers employed in industry. Data from Industrial Accidents Compensation Board (INAIL) and National Social Security Institute (INPS), Veneto Region, 1994-2002].

PubMed

Mastrangelo, G; Carassai, Patrizia; Carletti, Claudia; Cattani, F; De Zorzi, Lia; Di Loreto, G; Dini, M; Mattioni, G; Mundo, Antonietta; Noceta, R; Ortolani, G; Piccioni, M; Sartori, Angela; Sereno, Antonella; Priolo, G; Scoizzato, L; Marangi, G; Marchiori, L

2008-01-01

A decreasing time trend for occupational injuries and sickness absence would be the effect of the new legislation (D.Lgs. 626/94 and successive laws) on prevention in occupational settings. Conversely, the reduction of INPS disability would reflect a health improvement due to non-occupational causes. The aim of the study was to investigate the efficacy of the new legislation among employees in industry (where the law was mainly applied), via the time trend of three standardized rates in the Veneto Region. The numerator for the rate of occupational accidents (cases occurring in industry workers in the Veneto Region, broken down for sex, age and calendar years) was supplied by INAIL. The denominator for the above rate, as well as numerators and denominators for disability and sickness absence were supplied by INPS. Data were available from 1994 to 2002 for accidents and disability, and from 1997 to 2002 for sickness absence. In every year from 1994 to 2002, the rates were standardized for age and sex with the direct method, using an internal "standard" population. The time trend of year-specific standardized rates was analyzed by Joinpoint regression software. Among industrial workers in the Veneto Region, occupational accidents increased by 0.4% yearly, while disability decreased by 2.56% from 1994 to 2002. Sick absence increased up to 1999, then decreased. This epidemiological pattern is difficult to explain. The increase in accidents could be due to the increase of non-European Union workers and/or to the fact that accidents on the way to or from work were recognized as occupational accidents by INAIL starting from 2000. Both these phenomena could have contributed to increase the rate that was otherwise diminishing. On the other hand, this same situation could be due to insufficient efficacy of the legislation (D.Lgs. 626/94 and successive laws) for preventing occupational accidents and diseases.

Regression modeling of ground-water flow

USGS Publications Warehouse

Cooley, R.L.; Naff, R.L.

1985-01-01

Nonlinear multiple regression methods are developed to model and analyze groundwater flow systems. Complete descriptions of regression methodology as applied to groundwater flow models allow scientists and engineers engaged in flow modeling to apply the methods to a wide range of problems. Organization of the text proceeds from an introduction that discusses the general topic of groundwater flow modeling, to a review of basic statistics necessary to properly apply regression techniques, and then to the main topic: exposition and use of linear and nonlinear regression to model groundwater flow. Statistical procedures are given to analyze and use the regression models. A number of exercises and answers are included to exercise the student on nearly all the methods that are presented for modeling and statistical analysis. Three computer programs implement the more complex methods. These three are a general two-dimensional, steady-state regression model for flow in an anisotropic, heterogeneous porous medium, a program to calculate a measure of model nonlinearity with respect to the regression parameters, and a program to analyze model errors in computed dependent variables such as hydraulic head. (USGS)

Changing Trends of Types of Skin Cancer in Iran.

PubMed

Razi, Saeid; Rafiemanesh, Hosein; Ghoncheh, Mahshid; Khani, Yousef; Salehiniya, Hamid

2015-01-01

Skin cancer is the most common type of cancer worldwide. It has an increasing trend. This study investigated the epidemiological trend and morphological changes in skin cancer in Iran. This study was done using existing data, extracted from the National Cancer Registry System and the Disease Management Center of Iranian Ministry of Health between 2003 and 2008. Data on epidemiologic trend was analyzed using Joinpoint software package. The incidence of skin cancer is increasing in Iran, and more in men than women. There was a declining trend for basal cell carcinoma. Basal squamous cell carcinoma and melanoma had an increasing trend. The increase of skin cancer was related to squamous cell carcinoma. Our findings indicated that the increase of skin cancer was attributed to squamous cell carcinoma. It is necessary to be planning for the control and prevention of this disease as a priority for health policy makers.

The Application of the Cumulative Logistic Regression Model to Automated Essay Scoring

ERIC Educational Resources Information Center

Haberman, Shelby J.; Sinharay, Sandip

2010-01-01

Most automated essay scoring programs use a linear regression model to predict an essay score from several essay features. This article applied a cumulative logit model instead of the linear regression model to automated essay scoring. Comparison of the performances of the linear regression model and the cumulative logit model was performed on a…

The association of the original OSHA chemical hazard communication standard with reductions in acute work injuries/illnesses in private industry and the industrial releases of chemical carcinogens.

PubMed

Oleinick, Arthur

2014-02-01

OSHA predicted the original chemical Hazard Communication Standard (HCS) would cumulatively reduce the lost workday acute injury/illness rate for exposure events by 20% over 20 years and reduce exposure to chemical carcinogens. JoinPoint trend software identified changes in the rate of change of BLS rates for days away from work for acute injuries/illnesses during 1992-2009 for manufacturing and nonmanufacturing industries for both chemical, noxious or allergenic injury exposure events and All other exposure events. The annual percent change in the rates was used to adjust observed numbers of cases to estimate their association with the standard. A case-control study of EPA's Toxic Release Inventory 1988-2009 data compared carcinogen and non-carcinogens' releases. The study estimates that the HCS was associated with a reduction in the number of acute injuries/illnesses due to chemical injury exposure events over the background rate in the range 107,569-459,395 (Hudson method/modified BIC model) depending on whether the HCS is treated as a marginal or sole factor in the decrease. Carcinogen releases have declined at a substantially faster rate than control non-carcinogens. The previous HCS standard was associated with significant reductions in chemical event acute injuries/illnesses and chemical carcinogen exposures. © 2013 Wiley Periodicals, Inc.

Moderation analysis using a two-level regression model.

PubMed

Yuan, Ke-Hai; Cheng, Ying; Maxwell, Scott

2014-10-01

Moderation analysis is widely used in social and behavioral research. The most commonly used model for moderation analysis is moderated multiple regression (MMR) in which the explanatory variables of the regression model include product terms, and the model is typically estimated by least squares (LS). This paper argues for a two-level regression model in which the regression coefficients of a criterion variable on predictors are further regressed on moderator variables. An algorithm for estimating the parameters of the two-level model by normal-distribution-based maximum likelihood (NML) is developed. Formulas for the standard errors (SEs) of the parameter estimates are provided and studied. Results indicate that, when heteroscedasticity exists, NML with the two-level model gives more efficient and more accurate parameter estimates than the LS analysis of the MMR model. When error variances are homoscedastic, NML with the two-level model leads to essentially the same results as LS with the MMR model. Most importantly, the two-level regression model permits estimating the percentage of variance of each regression coefficient that is due to moderator variables. When applied to data from General Social Surveys 1991, NML with the two-level model identified a significant moderation effect of race on the regression of job prestige on years of education while LS with the MMR model did not. An R package is also developed and documented to facilitate the application of the two-level model.

The microcomputer scientific software series 2: general linear model--regression.

Treesearch

Harold M. Rauscher

1983-01-01

The general linear model regression (GLMR) program provides the microcomputer user with a sophisticated regression analysis capability. The output provides a regression ANOVA table, estimators of the regression model coefficients, their confidence intervals, confidence intervals around the predicted Y-values, residuals for plotting, a check for multicollinearity, a...

Climate variations and salmonellosis transmission in Adelaide, South Australia: a comparison between regression models

NASA Astrophysics Data System (ADS)

Zhang, Ying; Bi, Peng; Hiller, Janet

2008-01-01

This is the first study to identify appropriate regression models for the association between climate variation and salmonellosis transmission. A comparison between different regression models was conducted using surveillance data in Adelaide, South Australia. By using notified salmonellosis cases and climatic variables from the Adelaide metropolitan area over the period 1990-2003, four regression methods were examined: standard Poisson regression, autoregressive adjusted Poisson regression, multiple linear regression, and a seasonal autoregressive integrated moving average (SARIMA) model. Notified salmonellosis cases in 2004 were used to test the forecasting ability of the four models. Parameter estimation, goodness-of-fit and forecasting ability of the four regression models were compared. Temperatures occurring 2 weeks prior to cases were positively associated with cases of salmonellosis. Rainfall was also inversely related to the number of cases. The comparison of the goodness-of-fit and forecasting ability suggest that the SARIMA model is better than the other three regression models. Temperature and rainfall may be used as climatic predictors of salmonellosis cases in regions with climatic characteristics similar to those of Adelaide. The SARIMA model could, thus, be adopted to quantify the relationship between climate variations and salmonellosis transmission.

[Evaluation of estimation of prevalence ratio using bayesian log-binomial regression model].

PubMed

Gao, W L; Lin, H; Liu, X N; Ren, X W; Li, J S; Shen, X P; Zhu, S L

2017-03-10

To evaluate the estimation of prevalence ratio ( PR ) by using bayesian log-binomial regression model and its application, we estimated the PR of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea in their infants by using bayesian log-binomial regression model in Openbugs software. The results showed that caregivers' recognition of infant' s risk signs of diarrhea was associated significantly with a 13% increase of medical care-seeking. Meanwhile, we compared the differences in PR 's point estimation and its interval estimation of medical care-seeking prevalence to caregivers' recognition of risk signs of diarrhea and convergence of three models (model 1: not adjusting for the covariates; model 2: adjusting for duration of caregivers' education, model 3: adjusting for distance between village and township and child month-age based on model 2) between bayesian log-binomial regression model and conventional log-binomial regression model. The results showed that all three bayesian log-binomial regression models were convergence and the estimated PRs were 1.130(95 %CI : 1.005-1.265), 1.128(95 %CI : 1.001-1.264) and 1.132(95 %CI : 1.004-1.267), respectively. Conventional log-binomial regression model 1 and model 2 were convergence and their PRs were 1.130(95 % CI : 1.055-1.206) and 1.126(95 % CI : 1.051-1.203), respectively, but the model 3 was misconvergence, so COPY method was used to estimate PR , which was 1.125 (95 %CI : 1.051-1.200). In addition, the point estimation and interval estimation of PRs from three bayesian log-binomial regression models differed slightly from those of PRs from conventional log-binomial regression model, but they had a good consistency in estimating PR . Therefore, bayesian log-binomial regression model can effectively estimate PR with less misconvergence and have more advantages in application compared with conventional log-binomial regression model.

Evaluation of weighted regression and sample size in developing a taper model for loblolly pine

Treesearch

Kenneth L. Cormier; Robin M. Reich; Raymond L. Czaplewski; William A. Bechtold

1992-01-01

A stem profile model, fit using pseudo-likelihood weighted regression, was used to estimate merchantable volume of loblolly pine (Pinus taeda L.) in the southeast. The weighted regression increased model fit marginally, but did not substantially increase model performance. In all cases, the unweighted regression models performed as well as the...

Parameters Estimation of Geographically Weighted Ordinal Logistic Regression (GWOLR) Model

NASA Astrophysics Data System (ADS)

Zuhdi, Shaifudin; Retno Sari Saputro, Dewi; Widyaningsih, Purnami

2017-06-01

A regression model is the representation of relationship between independent variable and dependent variable. The dependent variable has categories used in the logistic regression model to calculate odds on. The logistic regression model for dependent variable has levels in the logistics regression model is ordinal. GWOLR model is an ordinal logistic regression model influenced the geographical location of the observation site. Parameters estimation in the model needed to determine the value of a population based on sample. The purpose of this research is to parameters estimation of GWOLR model using R software. Parameter estimation uses the data amount of dengue fever patients in Semarang City. Observation units used are 144 villages in Semarang City. The results of research get GWOLR model locally for each village and to know probability of number dengue fever patient categories.

Modelling fourier regression for time series data- a case study: modelling inflation in foods sector in Indonesia

NASA Astrophysics Data System (ADS)

Prahutama, Alan; Suparti; Wahyu Utami, Tiani

2018-03-01

Regression analysis is an analysis to model the relationship between response variables and predictor variables. The parametric approach to the regression model is very strict with the assumption, but nonparametric regression model isn’t need assumption of model. Time series data is the data of a variable that is observed based on a certain time, so if the time series data wanted to be modeled by regression, then we should determined the response and predictor variables first. Determination of the response variable in time series is variable in t-th (yt), while the predictor variable is a significant lag. In nonparametric regression modeling, one developing approach is to use the Fourier series approach. One of the advantages of nonparametric regression approach using Fourier series is able to overcome data having trigonometric distribution. In modeling using Fourier series needs parameter of K. To determine the number of K can be used Generalized Cross Validation method. In inflation modeling for the transportation sector, communication and financial services using Fourier series yields an optimal K of 120 parameters with R-square 99%. Whereas if it was modeled by multiple linear regression yield R-square 90%.

Applying Kaplan-Meier to Item Response Data

ERIC Educational Resources Information Center

McNeish, Daniel

2018-01-01

Some IRT models can be equivalently modeled in alternative frameworks such as logistic regression. Logistic regression can also model time-to-event data, which concerns the probability of an event occurring over time. Using the relation between time-to-event models and logistic regression and the relation between logistic regression and IRT, this…

A Model Comparison for Count Data with a Positively Skewed Distribution with an Application to the Number of University Mathematics Courses Completed

ERIC Educational Resources Information Center

Liou, Pey-Yan

2009-01-01

The current study examines three regression models: OLS (ordinary least square) linear regression, Poisson regression, and negative binomial regression for analyzing count data. Simulation results show that the OLS regression model performed better than the others, since it did not produce more false statistically significant relationships than…

Breeding value accuracy estimates for growth traits using random regression and multi-trait models in Nelore cattle.

PubMed

Boligon, A A; Baldi, F; Mercadante, M E Z; Lobo, R B; Pereira, R J; Albuquerque, L G

2011-06-28

We quantified the potential increase in accuracy of expected breeding value for weights of Nelore cattle, from birth to mature age, using multi-trait and random regression models on Legendre polynomials and B-spline functions. A total of 87,712 weight records from 8144 females were used, recorded every three months from birth to mature age from the Nelore Brazil Program. For random regression analyses, all female weight records from birth to eight years of age (data set I) were considered. From this general data set, a subset was created (data set II), which included only nine weight records: at birth, weaning, 365 and 550 days of age, and 2, 3, 4, 5, and 6 years of age. Data set II was analyzed using random regression and multi-trait models. The model of analysis included the contemporary group as fixed effects and age of dam as a linear and quadratic covariable. In the random regression analyses, average growth trends were modeled using a cubic regression on orthogonal polynomials of age. Residual variances were modeled by a step function with five classes. Legendre polynomials of fourth and sixth order were utilized to model the direct genetic and animal permanent environmental effects, respectively, while third-order Legendre polynomials were considered for maternal genetic and maternal permanent environmental effects. Quadratic polynomials were applied to model all random effects in random regression models on B-spline functions. Direct genetic and animal permanent environmental effects were modeled using three segments or five coefficients, and genetic maternal and maternal permanent environmental effects were modeled with one segment or three coefficients in the random regression models on B-spline functions. For both data sets (I and II), animals ranked differently according to expected breeding value obtained by random regression or multi-trait models. With random regression models, the highest gains in accuracy were obtained at ages with a low number of weight records. The results indicate that random regression models provide more accurate expected breeding values than the traditionally finite multi-trait models. Thus, higher genetic responses are expected for beef cattle growth traits by replacing a multi-trait model with random regression models for genetic evaluation. B-spline functions could be applied as an alternative to Legendre polynomials to model covariance functions for weights from birth to mature age.

Evaluating differential effects using regression interactions and regression mixture models

PubMed Central

Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung

2015-01-01

Research increasingly emphasizes understanding differential effects. This paper focuses on understanding regression mixture models, a relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their formulation, and their assumptions are compared using Monte Carlo simulations and real data analysis. The capabilities of regression mixture models are described and specific issues to be addressed when conducting regression mixtures are proposed. The paper aims to clarify the role that regression mixtures can take in the estimation of differential effects and increase awareness of the benefits and potential pitfalls of this approach. Regression mixture models are shown to be a potentially effective exploratory method for finding differential effects when these effects can be defined by a small number of classes of respondents who share a typical relationship between a predictor and an outcome. It is also shown that the comparison between regression mixture models and interactions becomes substantially more complex as the number of classes increases. It is argued that regression interactions are well suited for direct tests of specific hypotheses about differential effects and regression mixtures provide a useful approach for exploring effect heterogeneity given adequate samples and study design. PMID:26556903

Evaluating Differential Effects Using Regression Interactions and Regression Mixture Models

ERIC Educational Resources Information Center

Van Horn, M. Lee; Jaki, Thomas; Masyn, Katherine; Howe, George; Feaster, Daniel J.; Lamont, Andrea E.; George, Melissa R. W.; Kim, Minjung

2015-01-01

Research increasingly emphasizes understanding differential effects. This article focuses on understanding regression mixture models, which are relatively new statistical methods for assessing differential effects by comparing results to using an interactive term in linear regression. The research questions which each model answers, their…

Modeling absolute differences in life expectancy with a censored skew-normal regression approach

PubMed Central

Clough-Gorr, Kerri; Zwahlen, Marcel

2015-01-01

Parameter estimates from commonly used multivariable parametric survival regression models do not directly quantify differences in years of life expectancy. Gaussian linear regression models give results in terms of absolute mean differences, but are not appropriate in modeling life expectancy, because in many situations time to death has a negative skewed distribution. A regression approach using a skew-normal distribution would be an alternative to parametric survival models in the modeling of life expectancy, because parameter estimates can be interpreted in terms of survival time differences while allowing for skewness of the distribution. In this paper we show how to use the skew-normal regression so that censored and left-truncated observations are accounted for. With this we model differences in life expectancy using data from the Swiss National Cohort Study and from official life expectancy estimates and compare the results with those derived from commonly used survival regression models. We conclude that a censored skew-normal survival regression approach for left-truncated observations can be used to model differences in life expectancy across covariates of interest. PMID:26339544

Error Covariance Penalized Regression: A novel multivariate model combining penalized regression with multivariate error structure.

PubMed

Allegrini, Franco; Braga, Jez W B; Moreira, Alessandro C O; Olivieri, Alejandro C

2018-06-29

A new multivariate regression model, named Error Covariance Penalized Regression (ECPR) is presented. Following a penalized regression strategy, the proposed model incorporates information about the measurement error structure of the system, using the error covariance matrix (ECM) as a penalization term. Results are reported from both simulations and experimental data based on replicate mid and near infrared (MIR and NIR) spectral measurements. The results for ECPR are better under non-iid conditions when compared with traditional first-order multivariate methods such as ridge regression (RR), principal component regression (PCR) and partial least-squares regression (PLS). Copyright © 2018 Elsevier B.V. All rights reserved.

Analyzing Student Learning Outcomes: Usefulness of Logistic and Cox Regression Models. IR Applications, Volume 5

ERIC Educational Resources Information Center

Chen, Chau-Kuang

2005-01-01

Logistic and Cox regression methods are practical tools used to model the relationships between certain student learning outcomes and their relevant explanatory variables. The logistic regression model fits an S-shaped curve into a binary outcome with data points of zero and one. The Cox regression model allows investigators to study the duration…

Robust geographically weighted regression of modeling the Air Polluter Standard Index (APSI)

NASA Astrophysics Data System (ADS)

Warsito, Budi; Yasin, Hasbi; Ispriyanti, Dwi; Hoyyi, Abdul

2018-05-01

The Geographically Weighted Regression (GWR) model has been widely applied to many practical fields for exploring spatial heterogenity of a regression model. However, this method is inherently not robust to outliers. Outliers commonly exist in data sets and may lead to a distorted estimate of the underlying regression model. One of solution to handle the outliers in the regression model is to use the robust models. So this model was called Robust Geographically Weighted Regression (RGWR). This research aims to aid the government in the policy making process related to air pollution mitigation by developing a standard index model for air polluter (Air Polluter Standard Index - APSI) based on the RGWR approach. In this research, we also consider seven variables that are directly related to the air pollution level, which are the traffic velocity, the population density, the business center aspect, the air humidity, the wind velocity, the air temperature, and the area size of the urban forest. The best model is determined by the smallest AIC value. There are significance differences between Regression and RGWR in this case, but Basic GWR using the Gaussian kernel is the best model to modeling APSI because it has smallest AIC.

Bayesian Unimodal Density Regression for Causal Inference

ERIC Educational Resources Information Center

Karabatsos, George; Walker, Stephen G.

2011-01-01

Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…

Bayesian Estimation of Multivariate Latent Regression Models: Gauss versus Laplace

ERIC Educational Resources Information Center

Culpepper, Steven Andrew; Park, Trevor

2017-01-01

A latent multivariate regression model is developed that employs a generalized asymmetric Laplace (GAL) prior distribution for regression coefficients. The model is designed for high-dimensional applications where an approximate sparsity condition is satisfied, such that many regression coefficients are near zero after accounting for all the model…

A simple approach to power and sample size calculations in logistic regression and Cox regression models.

PubMed

Vaeth, Michael; Skovlund, Eva

2004-06-15

For a given regression problem it is possible to identify a suitably defined equivalent two-sample problem such that the power or sample size obtained for the two-sample problem also applies to the regression problem. For a standard linear regression model the equivalent two-sample problem is easily identified, but for generalized linear models and for Cox regression models the situation is more complicated. An approximately equivalent two-sample problem may, however, also be identified here. In particular, we show that for logistic regression and Cox regression models the equivalent two-sample problem is obtained by selecting two equally sized samples for which the parameters differ by a value equal to the slope times twice the standard deviation of the independent variable and further requiring that the overall expected number of events is unchanged. In a simulation study we examine the validity of this approach to power calculations in logistic regression and Cox regression models. Several different covariate distributions are considered for selected values of the overall response probability and a range of alternatives. For the Cox regression model we consider both constant and non-constant hazard rates. The results show that in general the approach is remarkably accurate even in relatively small samples. Some discrepancies are, however, found in small samples with few events and a highly skewed covariate distribution. Comparison with results based on alternative methods for logistic regression models with a single continuous covariate indicates that the proposed method is at least as good as its competitors. The method is easy to implement and therefore provides a simple way to extend the range of problems that can be covered by the usual formulas for power and sample size determination. Copyright 2004 John Wiley & Sons, Ltd.

Comparative evaluation of urban storm water quality models

NASA Astrophysics Data System (ADS)

Vaze, J.; Chiew, Francis H. S.

2003-10-01

The estimation of urban storm water pollutant loads is required for the development of mitigation and management strategies to minimize impacts to receiving environments. Event pollutant loads are typically estimated using either regression equations or "process-based" water quality models. The relative merit of using regression models compared to process-based models is not clear. A modeling study is carried out here to evaluate the comparative ability of the regression equations and process-based water quality models to estimate event diffuse pollutant loads from impervious surfaces. The results indicate that, once calibrated, both the regression equations and the process-based model can estimate event pollutant loads satisfactorily. In fact, the loads estimated using the regression equation as a function of rainfall intensity and runoff rate are better than the loads estimated using the process-based model. Therefore, if only estimates of event loads are required, regression models should be used because they are simpler and require less data compared to process-based models.

Clinical workload in UK primary care: a retrospective analysis of 100 million consultations in England, 2007-14.

PubMed

Hobbs, F D Richard; Bankhead, Clare; Mukhtar, Toqir; Stevens, Sarah; Perera-Salazar, Rafael; Holt, Tim; Salisbury, Chris

2016-06-04

Primary care is the main source of health care in many health systems, including the UK National Health Service (NHS), but few objective data exist for the volume and nature of primary care activity. With rising concerns that NHS primary care workload has increased substantially, we aimed to assess the direct clinical workload of general practitioners (GPs) and practice nurses in primary care in the UK. We did a retrospective analysis of GP and nurse consultations of non-temporary patients registered at 398 English general practices between April, 2007, and March, 2014. We used data from electronic health records routinely entered in the Clinical Practice Research Datalink, and linked CPRD data to national datasets. Trends in age-standardised and sex-standardised consultation rates were modelled with joinpoint regression analysis. The dataset comprised 101,818,352 consultations and 20,626,297 person-years of observation. The crude annual consultation rate per person increased by 10·51%, from 4·67 in 2007-08, to 5·16 in 2013-14. Consultation rates were highest in infants (age 0-4 years) and elderly people (≥85 years), and were higher for female patients than for male patients of all ages. The greatest increases in age-standardised and sex-standardised rates were in GPs, with a rise of 12·36% per 10,000 person-years, compared with 0·9% for practice nurses. GP telephone consultation rates doubled, compared with a 5·20% rise in surgery consultations, which accounted for 90% of all consultations. The mean duration of GP surgery consultations increased by 6·7%, from 8·65 min (95% CI 8·64-8·65) to 9·22 min (9·22-9·23), and overall workload increased by 16%. Our findings show a substantial increase in practice consultation rates, average consultation duration, and total patient-facing clinical workload in English general practice. These results suggest that English primary care as currently delivered could be reaching saturation point. Notably, our data only explore direct clinical workload and not indirect activities and professional duties, which have probably also increased. This and additional research questions, including the outcomes of workload changes on other sectors of health care, need urgent answers for primary care provision internationally. Department of Health Policy Research Programme. Copyright © 2016 Hobbs et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd.. All rights reserved.

Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study.

PubMed

Yang, Shigui; Wu, Jie; Ding, Cheng; Cui, Yuanxia; Zhou, Yuqing; Li, Yiping; Deng, Min; Wang, Chencheng; Xu, Kaijin; Ren, Jingjing; Ruan, Bing; Li, Lanjuan

2017-07-01

The model of infectious disease prevention and control changed significantly in China after the outbreak in 2003 of severe acute respiratory syndrome (SARS), but trends and epidemiological features of infectious diseases are rarely studied. In this study, we aimed to assess specific incidence and mortality trends of 45 notifiable infectious diseases from 2004 to 2013 in China and to investigate the overall effectiveness of current prevention and control strategies. Incidence and mortality data for 45 notifiable infectious diseases were extracted from a WChinese public health science data centre from 2004 to 2013, which covers 31 provinces in mainland China. We estimated the annual percentage change in incidence of each infectious disease using joinpoint regression. Between January, 2004, and December, 2013, 54 984 661 cases of 45 infectious diseases were reported (average yearly incidence 417·98 per 100 000). The infectious diseases with the highest yearly incidence were hand, foot, and mouth disease (114·48 per 100 000), hepatitis B (81·57 per 100 000), and tuberculosis (80·33 per 100 000). 132 681 deaths were reported among the 54 984 661 cases (average yearly mortality 1·01 deaths per 100 000; average case fatality 2·4 per 1000). Overall yearly incidence of infectious disease was higher among males than females and was highest among children younger than 10 years. Overall yearly mortality was higher among males than females older than 20 years and highest among individuals older than 80 years. Average yearly incidence rose from 300·54 per 100 000 in 2004 to 483·63 per 100 000 in 2013 (annual percentage change 5·9%); hydatid disease (echinococcosis), hepatitis C, and syphilis showed the fastest growth. The overall increasing trend changed after 2009, and the annual percentage change in incidence of infectious disease in 2009-13 (2·3%) was significantly lower than in 2004-08 (6·2%). Although the overall incidence of infectious diseases was increasing from 2004, the rate levelled off after 2009. Effective prevention and control strategies are needed for diseases with the highest incidence-including hand, foot, and mouth disease, hepatitis B, and tuberculosis-and those with the fastest rates of increase (including hydatid disease, hepatitis C, and syphilis). Chinese Ministry of Science and Technology, National Natural Science Foundation (China). Copyright © 2017 Elsevier Ltd. All rights reserved.

A generalized right truncated bivariate Poisson regression model with applications to health data.

PubMed

Islam, M Ataharul; Chowdhury, Rafiqul I

2017-01-01

A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models using marginal-conditional approach. Estimation and test procedures are illustrated for bivariate Poisson regression models with applications to Health and Retirement Study data on number of health conditions and the number of health care services utilized. The proposed test statistics are easy to compute and it is evident from the results that the models fit the data very well. A comparison between the right truncated and untruncated bivariate Poisson regression models using the test for nonnested models clearly shows that the truncated model performs significantly better than the untruncated model.

A generalized right truncated bivariate Poisson regression model with applications to health data

PubMed Central

Islam, M. Ataharul; Chowdhury, Rafiqul I.

2017-01-01

A generalized right truncated bivariate Poisson regression model is proposed in this paper. Estimation and tests for goodness of fit and over or under dispersion are illustrated for both untruncated and right truncated bivariate Poisson regression models using marginal-conditional approach. Estimation and test procedures are illustrated for bivariate Poisson regression models with applications to Health and Retirement Study data on number of health conditions and the number of health care services utilized. The proposed test statistics are easy to compute and it is evident from the results that the models fit the data very well. A comparison between the right truncated and untruncated bivariate Poisson regression models using the test for nonnested models clearly shows that the truncated model performs significantly better than the untruncated model. PMID:28586344

A Technique of Fuzzy C-Mean in Multiple Linear Regression Model toward Paddy Yield

NASA Astrophysics Data System (ADS)

Syazwan Wahab, Nur; Saifullah Rusiman, Mohd; Mohamad, Mahathir; Amira Azmi, Nur; Che Him, Norziha; Ghazali Kamardan, M.; Ali, Maselan

2018-04-01

In this paper, we propose a hybrid model which is a combination of multiple linear regression model and fuzzy c-means method. This research involved a relationship between 20 variates of the top soil that are analyzed prior to planting of paddy yields at standard fertilizer rates. Data used were from the multi-location trials for rice carried out by MARDI at major paddy granary in Peninsular Malaysia during the period from 2009 to 2012. Missing observations were estimated using mean estimation techniques. The data were analyzed using multiple linear regression model and a combination of multiple linear regression model and fuzzy c-means method. Analysis of normality and multicollinearity indicate that the data is normally scattered without multicollinearity among independent variables. Analysis of fuzzy c-means cluster the yield of paddy into two clusters before the multiple linear regression model can be used. The comparison between two method indicate that the hybrid of multiple linear regression model and fuzzy c-means method outperform the multiple linear regression model with lower value of mean square error.

Spatial Assessment of Model Errors from Four Regression Techniques

Treesearch

Lianjun Zhang; Jeffrey H. Gove; Jeffrey H. Gove

2005-01-01

Fomst modelers have attempted to account for the spatial autocorrelations among trees in growth and yield models by applying alternative regression techniques such as linear mixed models (LMM), generalized additive models (GAM), and geographicalIy weighted regression (GWR). However, the model errors are commonly assessed using average errors across the entire study...

Can We Use Regression Modeling to Quantify Mean Annual Streamflow at a Global-Scale?

NASA Astrophysics Data System (ADS)

Barbarossa, V.; Huijbregts, M. A. J.; Hendriks, J. A.; Beusen, A.; Clavreul, J.; King, H.; Schipper, A.

2016-12-01

Quantifying mean annual flow of rivers (MAF) at ungauged sites is essential for a number of applications, including assessments of global water supply, ecosystem integrity and water footprints. MAF can be quantified with spatially explicit process-based models, which might be overly time-consuming and data-intensive for this purpose, or with empirical regression models that predict MAF based on climate and catchment characteristics. Yet, regression models have mostly been developed at a regional scale and the extent to which they can be extrapolated to other regions is not known. In this study, we developed a global-scale regression model for MAF using observations of discharge and catchment characteristics from 1,885 catchments worldwide, ranging from 2 to 106 km2 in size. In addition, we compared the performance of the regression model with the predictive ability of the spatially explicit global hydrological model PCR-GLOBWB [van Beek et al., 2011] by comparing results from both models to independent measurements. We obtained a regression model explaining 89% of the variance in MAF based on catchment area, mean annual precipitation and air temperature, average slope and elevation. The regression model performed better than PCR-GLOBWB for the prediction of MAF, as root-mean-square error values were lower (0.29 - 0.38 compared to 0.49 - 0.57) and the modified index of agreement was higher (0.80 - 0.83 compared to 0.72 - 0.75). Our regression model can be applied globally at any point of the river network, provided that the input parameters are within the range of values employed in the calibration of the model. The performance is reduced for water scarce regions and further research should focus on improving such an aspect for regression-based global hydrological models.

Developing a predictive tropospheric ozone model for Tabriz

NASA Astrophysics Data System (ADS)

Khatibi, Rahman; Naghipour, Leila; Ghorbani, Mohammad A.; Smith, Michael S.; Karimi, Vahid; Farhoudi, Reza; Delafrouz, Hadi; Arvanaghi, Hadi

2013-04-01

Predictive ozone models are becoming indispensable tools by providing a capability for pollution alerts to serve people who are vulnerable to the risks. We have developed a tropospheric ozone prediction capability for Tabriz, Iran, by using the following five modeling strategies: three regression-type methods: Multiple Linear Regression (MLR), Artificial Neural Networks (ANNs), and Gene Expression Programming (GEP); and two auto-regression-type models: Nonlinear Local Prediction (NLP) to implement chaos theory and Auto-Regressive Integrated Moving Average (ARIMA) models. The regression-type modeling strategies explain the data in terms of: temperature, solar radiation, dew point temperature, and wind speed, by regressing present ozone values to their past values. The ozone time series are available at various time intervals, including hourly intervals, from August 2010 to March 2011. The results for MLR, ANN and GEP models are not overly good but those produced by NLP and ARIMA are promising for the establishing a forecasting capability.

Unitary Response Regression Models

ERIC Educational Resources Information Center

Lipovetsky, S.

2007-01-01

The dependent variable in a regular linear regression is a numerical variable, and in a logistic regression it is a binary or categorical variable. In these models the dependent variable has varying values. However, there are problems yielding an identity output of a constant value which can also be modelled in a linear or logistic regression with…

Modelling infant mortality rate in Central Java, Indonesia use generalized poisson regression method

NASA Astrophysics Data System (ADS)

Prahutama, Alan; Sudarno

2018-05-01

The infant mortality rate is the number of deaths under one year of age occurring among the live births in a given geographical area during a given year, per 1,000 live births occurring among the population of the given geographical area during the same year. This problem needs to be addressed because it is an important element of a country’s economic development. High infant mortality rate will disrupt the stability of a country as it relates to the sustainability of the population in the country. One of regression model that can be used to analyze the relationship between dependent variable Y in the form of discrete data and independent variable X is Poisson regression model. Recently The regression modeling used for data with dependent variable is discrete, among others, poisson regression, negative binomial regression and generalized poisson regression. In this research, generalized poisson regression modeling gives better AIC value than poisson regression. The most significant variable is the Number of health facilities (X1), while the variable that gives the most influence to infant mortality rate is the average breastfeeding (X9).

[From clinical judgment to linear regression model.

PubMed

Palacios-Cruz, Lino; Pérez, Marcela; Rivas-Ruiz, Rodolfo; Talavera, Juan O

2013-01-01

When we think about mathematical models, such as linear regression model, we think that these terms are only used by those engaged in research, a notion that is far from the truth. Legendre described the first mathematical model in 1805, and Galton introduced the formal term in 1886. Linear regression is one of the most commonly used regression models in clinical practice. It is useful to predict or show the relationship between two or more variables as long as the dependent variable is quantitative and has normal distribution. Stated in another way, the regression is used to predict a measure based on the knowledge of at least one other variable. Linear regression has as it's first objective to determine the slope or inclination of the regression line: Y = a + bx, where "a" is the intercept or regression constant and it is equivalent to "Y" value when "X" equals 0 and "b" (also called slope) indicates the increase or decrease that occurs when the variable "x" increases or decreases in one unit. In the regression line, "b" is called regression coefficient. The coefficient of determination (R 2 ) indicates the importance of independent variables in the outcome.

Impact of multicollinearity on small sample hydrologic regression models

NASA Astrophysics Data System (ADS)

Kroll, Charles N.; Song, Peter

2013-06-01

Often hydrologic regression models are developed with ordinary least squares (OLS) procedures. The use of OLS with highly correlated explanatory variables produces multicollinearity, which creates highly sensitive parameter estimators with inflated variances and improper model selection. It is not clear how to best address multicollinearity in hydrologic regression models. Here a Monte Carlo simulation is developed to compare four techniques to address multicollinearity: OLS, OLS with variance inflation factor screening (VIF), principal component regression (PCR), and partial least squares regression (PLS). The performance of these four techniques was observed for varying sample sizes, correlation coefficients between the explanatory variables, and model error variances consistent with hydrologic regional regression models. The negative effects of multicollinearity are magnified at smaller sample sizes, higher correlations between the variables, and larger model error variances (smaller R2). The Monte Carlo simulation indicates that if the true model is known, multicollinearity is present, and the estimation and statistical testing of regression parameters are of interest, then PCR or PLS should be employed. If the model is unknown, or if the interest is solely on model predictions, is it recommended that OLS be employed since using more complicated techniques did not produce any improvement in model performance. A leave-one-out cross-validation case study was also performed using low-streamflow data sets from the eastern United States. Results indicate that OLS with stepwise selection generally produces models across study regions with varying levels of multicollinearity that are as good as biased regression techniques such as PCR and PLS.

Real estate value prediction using multivariate regression models

NASA Astrophysics Data System (ADS)

Manjula, R.; Jain, Shubham; Srivastava, Sharad; Rajiv Kher, Pranav

2017-11-01

The real estate market is one of the most competitive in terms of pricing and the same tends to vary significantly based on a lot of factors, hence it becomes one of the prime fields to apply the concepts of machine learning to optimize and predict the prices with high accuracy. Therefore in this paper, we present various important features to use while predicting housing prices with good accuracy. We have described regression models, using various features to have lower Residual Sum of Squares error. While using features in a regression model some feature engineering is required for better prediction. Often a set of features (multiple regressions) or polynomial regression (applying a various set of powers in the features) is used for making better model fit. For these models are expected to be susceptible towards over fitting ridge regression is used to reduce it. This paper thus directs to the best application of regression models in addition to other techniques to optimize the result.

Comparison Between Linear and Non-parametric Regression Models for Genome-Enabled Prediction in Wheat

PubMed Central

Pérez-Rodríguez, Paulino; Gianola, Daniel; González-Camacho, Juan Manuel; Crossa, José; Manès, Yann; Dreisigacker, Susanne

2012-01-01

In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The linear models were linear on marker effects and included the Bayesian LASSO, Bayesian ridge regression, Bayes A, and Bayes B. The non-linear models (this refers to non-linearity on markers) were reproducing kernel Hilbert space (RKHS) regression, Bayesian regularized neural networks (BRNN), and radial basis function neural networks (RBFNN). These statistical models were compared using 306 elite wheat lines from CIMMYT genotyped with 1717 diversity array technology (DArT) markers and two traits, days to heading (DTH) and grain yield (GY), measured in each of 12 environments. It was found that the three non-linear models had better overall prediction accuracy than the linear regression specification. Results showed a consistent superiority of RKHS and RBFNN over the Bayesian LASSO, Bayesian ridge regression, Bayes A, and Bayes B models. PMID:23275882

Comparison between linear and non-parametric regression models for genome-enabled prediction in wheat.

PubMed

Pérez-Rodríguez, Paulino; Gianola, Daniel; González-Camacho, Juan Manuel; Crossa, José; Manès, Yann; Dreisigacker, Susanne

2012-12-01

In genome-enabled prediction, parametric, semi-parametric, and non-parametric regression models have been used. This study assessed the predictive ability of linear and non-linear models using dense molecular markers. The linear models were linear on marker effects and included the Bayesian LASSO, Bayesian ridge regression, Bayes A, and Bayes B. The non-linear models (this refers to non-linearity on markers) were reproducing kernel Hilbert space (RKHS) regression, Bayesian regularized neural networks (BRNN), and radial basis function neural networks (RBFNN). These statistical models were compared using 306 elite wheat lines from CIMMYT genotyped with 1717 diversity array technology (DArT) markers and two traits, days to heading (DTH) and grain yield (GY), measured in each of 12 environments. It was found that the three non-linear models had better overall prediction accuracy than the linear regression specification. Results showed a consistent superiority of RKHS and RBFNN over the Bayesian LASSO, Bayesian ridge regression, Bayes A, and Bayes B models.

Regression-Based Norms for a Bi-factor Model for Scoring the Brief Test of Adult Cognition by Telephone (BTACT).

PubMed

Gurnani, Ashita S; John, Samantha E; Gavett, Brandon E

2015-05-01

The current study developed regression-based normative adjustments for a bi-factor model of the The Brief Test of Adult Cognition by Telephone (BTACT). Archival data from the Midlife Development in the United States-II Cognitive Project were used to develop eight separate linear regression models that predicted bi-factor BTACT scores, accounting for age, education, gender, and occupation-alone and in various combinations. All regression models provided statistically significant fit to the data. A three-predictor regression model fit best and accounted for 32.8% of the variance in the global bi-factor BTACT score. The fit of the regression models was not improved by gender. Eight different regression models are presented to allow the user flexibility in applying demographic corrections to the bi-factor BTACT scores. Occupation corrections, while not widely used, may provide useful demographic adjustments for adult populations or for those individuals who have attained an occupational status not commensurate with expected educational attainment. © The Author 2015. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Regression Model Term Selection for the Analysis of Strain-Gage Balance Calibration Data

NASA Technical Reports Server (NTRS)

Ulbrich, Norbert Manfred; Volden, Thomas R.

2010-01-01

The paper discusses the selection of regression model terms for the analysis of wind tunnel strain-gage balance calibration data. Different function class combinations are presented that may be used to analyze calibration data using either a non-iterative or an iterative method. The role of the intercept term in a regression model of calibration data is reviewed. In addition, useful algorithms and metrics originating from linear algebra and statistics are recommended that will help an analyst (i) to identify and avoid both linear and near-linear dependencies between regression model terms and (ii) to make sure that the selected regression model of the calibration data uses only statistically significant terms. Three different tests are suggested that may be used to objectively assess the predictive capability of the final regression model of the calibration data. These tests use both the original data points and regression model independent confirmation points. Finally, data from a simplified manual calibration of the Ames MK40 balance is used to illustrate the application of some of the metrics and tests to a realistic calibration data set.

Panel regressions to estimate low-flow response to rainfall variability in ungaged basins

USGS Publications Warehouse

Bassiouni, Maoya; Vogel, Richard M.; Archfield, Stacey A.

2016-01-01

Multicollinearity and omitted-variable bias are major limitations to developing multiple linear regression models to estimate streamflow characteristics in ungaged areas and varying rainfall conditions. Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. Using annual rainfall and selected basin characteristics at 86 gaged streams in the Hawaiian Islands, regional regression models for three stream classes were developed to estimate the annual low-flow duration discharges. Three panel-regression structures (random effects, fixed effects, and pooled) were compared to traditional regression methods, in which space is substituted for time. Results indicated that panel regression generally was able to reproduce the temporal behavior of streamflow and reduce the standard errors of model coefficients compared to traditional regression, even for models in which the unobserved heterogeneity between streams is significant and the variance inflation factor for rainfall is much greater than 10. This is because both spatial and temporal variability were better characterized in panel regression. In a case study, regional rainfall elasticities estimated from panel regressions were applied to ungaged basins on Maui, using available rainfall projections to estimate plausible changes in surface-water availability and usable stream habitat for native species. The presented panel-regression framework is shown to offer benefits over existing traditional hydrologic regression methods for developing robust regional relations to investigate streamflow response in a changing climate.

Panel regressions to estimate low-flow response to rainfall variability in ungaged basins

NASA Astrophysics Data System (ADS)

Bassiouni, Maoya; Vogel, Richard M.; Archfield, Stacey A.

2016-12-01

Multicollinearity and omitted-variable bias are major limitations to developing multiple linear regression models to estimate streamflow characteristics in ungaged areas and varying rainfall conditions. Panel regression is used to overcome limitations of traditional regression methods, and obtain reliable model coefficients, in particular to understand the elasticity of streamflow to rainfall. Using annual rainfall and selected basin characteristics at 86 gaged streams in the Hawaiian Islands, regional regression models for three stream classes were developed to estimate the annual low-flow duration discharges. Three panel-regression structures (random effects, fixed effects, and pooled) were compared to traditional regression methods, in which space is substituted for time. Results indicated that panel regression generally was able to reproduce the temporal behavior of streamflow and reduce the standard errors of model coefficients compared to traditional regression, even for models in which the unobserved heterogeneity between streams is significant and the variance inflation factor for rainfall is much greater than 10. This is because both spatial and temporal variability were better characterized in panel regression. In a case study, regional rainfall elasticities estimated from panel regressions were applied to ungaged basins on Maui, using available rainfall projections to estimate plausible changes in surface-water availability and usable stream habitat for native species. The presented panel-regression framework is shown to offer benefits over existing traditional hydrologic regression methods for developing robust regional relations to investigate streamflow response in a changing climate.

Multiresponse semiparametric regression for modelling the effect of regional socio-economic variables on the use of information technology

NASA Astrophysics Data System (ADS)

Wibowo, Wahyu; Wene, Chatrien; Budiantara, I. Nyoman; Permatasari, Erma Oktania

2017-03-01

Multiresponse semiparametric regression is simultaneous equation regression model and fusion of parametric and nonparametric model. The regression model comprise several models and each model has two components, parametric and nonparametric. The used model has linear function as parametric and polynomial truncated spline as nonparametric component. The model can handle both linearity and nonlinearity relationship between response and the sets of predictor variables. The aim of this paper is to demonstrate the application of the regression model for modeling of effect of regional socio-economic on use of information technology. More specific, the response variables are percentage of households has access to internet and percentage of households has personal computer. Then, predictor variables are percentage of literacy people, percentage of electrification and percentage of economic growth. Based on identification of the relationship between response and predictor variable, economic growth is treated as nonparametric predictor and the others are parametric predictors. The result shows that the multiresponse semiparametric regression can be applied well as indicate by the high coefficient determination, 90 percent.

Linear regression metamodeling as a tool to summarize and present simulation model results.

PubMed

Jalal, Hawre; Dowd, Bryan; Sainfort, François; Kuntz, Karen M

2013-10-01

Modelers lack a tool to systematically and clearly present complex model results, including those from sensitivity analyses. The objective was to propose linear regression metamodeling as a tool to increase transparency of decision analytic models and better communicate their results. We used a simplified cancer cure model to demonstrate our approach. The model computed the lifetime cost and benefit of 3 treatment options for cancer patients. We simulated 10,000 cohorts in a probabilistic sensitivity analysis (PSA) and regressed the model outcomes on the standardized input parameter values in a set of regression analyses. We used the regression coefficients to describe measures of sensitivity analyses, including threshold and parameter sensitivity analyses. We also compared the results of the PSA to deterministic full-factorial and one-factor-at-a-time designs. The regression intercept represented the estimated base-case outcome, and the other coefficients described the relative parameter uncertainty in the model. We defined simple relationships that compute the average and incremental net benefit of each intervention. Metamodeling produced outputs similar to traditional deterministic 1-way or 2-way sensitivity analyses but was more reliable since it used all parameter values. Linear regression metamodeling is a simple, yet powerful, tool that can assist modelers in communicating model characteristics and sensitivity analyses.

An Entropy-Based Measure for Assessing Fuzziness in Logistic Regression

PubMed Central

Weiss, Brandi A.; Dardick, William

2015-01-01

This article introduces an entropy-based measure of data–model fit that can be used to assess the quality of logistic regression models. Entropy has previously been used in mixture-modeling to quantify how well individuals are classified into latent classes. The current study proposes the use of entropy for logistic regression models to quantify the quality of classification and separation of group membership. Entropy complements preexisting measures of data–model fit and provides unique information not contained in other measures. Hypothetical data scenarios, an applied example, and Monte Carlo simulation results are used to demonstrate the application of entropy in logistic regression. Entropy should be used in conjunction with other measures of data–model fit to assess how well logistic regression models classify cases into observed categories. PMID:29795897

An Entropy-Based Measure for Assessing Fuzziness in Logistic Regression.

PubMed

Weiss, Brandi A; Dardick, William

2016-12-01

This article introduces an entropy-based measure of data-model fit that can be used to assess the quality of logistic regression models. Entropy has previously been used in mixture-modeling to quantify how well individuals are classified into latent classes. The current study proposes the use of entropy for logistic regression models to quantify the quality of classification and separation of group membership. Entropy complements preexisting measures of data-model fit and provides unique information not contained in other measures. Hypothetical data scenarios, an applied example, and Monte Carlo simulation results are used to demonstrate the application of entropy in logistic regression. Entropy should be used in conjunction with other measures of data-model fit to assess how well logistic regression models classify cases into observed categories.

Escalating burden of breast cancer in southern Thailand: analysis of 1990-2010 incidence and prediction of future trends.

PubMed

Virani, Shama; Sriplung, Hutcha; Rozek, Laura S; Meza, Rafael

2014-06-01

Thailand is undergoing an epidemiologic transition, with decreasing incidence of infectious diseases and increasing rates of chronic conditions, including cancer. Breast cancer has the highest incidence rates among females both in the southern region Thailand and throughout Thailand. However, there is a lack of research on the epidemiology of this and other cancers. Here we use cancer incidence data from the Songkhla Cancer Registry to characterize and analyze the incidence of breast cancer in Southern Thailand. We use joinpoint analysis, age-period-cohort models and nordpred analysis to investigate the incidence of breast cancer in Southern Thailand from 1990 to 2010 and project future trends from 2010 to 2029. We found that age-adjusted breast cancer incidence rates in Southern Thailand increased by almost 300% from 1990 to 2010 going from 10.0 to 27.8 cases per 100,000 person-years. Both period and cohort effects played a role in shaping the increase in incidence. Three distinct incidence projection methods consistently suggested that incidence rates will continue to increase in the future with incidence for women age 50 and above increasing at a higher rate than for women below 50. To date, this is the first study to examine Thai breast cancer incidence from a regional registry. This study provides a basis for future planning strategies in breast cancer prevention and to guide hypotheses for population-based epidemiologic research in Thailand. Copyright © 2014 Elsevier Ltd. All rights reserved.

Predicting Quantitative Traits With Regression Models for Dense Molecular Markers and Pedigree

PubMed Central

de los Campos, Gustavo; Naya, Hugo; Gianola, Daniel; Crossa, José; Legarra, Andrés; Manfredi, Eduardo; Weigel, Kent; Cotes, José Miguel

2009-01-01

The availability of genomewide dense markers brings opportunities and challenges to breeding programs. An important question concerns the ways in which dense markers and pedigrees, together with phenotypic records, should be used to arrive at predictions of genetic values for complex traits. If a large number of markers are included in a regression model, marker-specific shrinkage of regression coefficients may be needed. For this reason, the Bayesian least absolute shrinkage and selection operator (LASSO) (BL) appears to be an interesting approach for fitting marker effects in a regression model. This article adapts the BL to arrive at a regression model where markers, pedigrees, and covariates other than markers are considered jointly. Connections between BL and other marker-based regression models are discussed, and the sensitivity of BL with respect to the choice of prior distributions assigned to key parameters is evaluated using simulation. The proposed model was fitted to two data sets from wheat and mouse populations, and evaluated using cross-validation methods. Results indicate that inclusion of markers in the regression further improved the predictive ability of models. An R program that implements the proposed model is freely available. PMID:19293140

Support vector methods for survival analysis: a comparison between ranking and regression approaches.

PubMed

Van Belle, Vanya; Pelckmans, Kristiaan; Van Huffel, Sabine; Suykens, Johan A K

2011-10-01

To compare and evaluate ranking, regression and combined machine learning approaches for the analysis of survival data. The literature describes two approaches based on support vector machines to deal with censored observations. In the first approach the key idea is to rephrase the task as a ranking problem via the concordance index, a problem which can be solved efficiently in a context of structural risk minimization and convex optimization techniques. In a second approach, one uses a regression approach, dealing with censoring by means of inequality constraints. The goal of this paper is then twofold: (i) introducing a new model combining the ranking and regression strategy, which retains the link with existing survival models such as the proportional hazards model via transformation models; and (ii) comparison of the three techniques on 6 clinical and 3 high-dimensional datasets and discussing the relevance of these techniques over classical approaches fur survival data. We compare svm-based survival models based on ranking constraints, based on regression constraints and models based on both ranking and regression constraints. The performance of the models is compared by means of three different measures: (i) the concordance index, measuring the model's discriminating ability; (ii) the logrank test statistic, indicating whether patients with a prognostic index lower than the median prognostic index have a significant different survival than patients with a prognostic index higher than the median; and (iii) the hazard ratio after normalization to restrict the prognostic index between 0 and 1. Our results indicate a significantly better performance for models including regression constraints above models only based on ranking constraints. This work gives empirical evidence that svm-based models using regression constraints perform significantly better than svm-based models based on ranking constraints. Our experiments show a comparable performance for methods including only regression or both regression and ranking constraints on clinical data. On high dimensional data, the former model performs better. However, this approach does not have a theoretical link with standard statistical models for survival data. This link can be made by means of transformation models when ranking constraints are included. Copyright © 2011 Elsevier B.V. All rights reserved.

Construction of mathematical model for measuring material concentration by colorimetric method

NASA Astrophysics Data System (ADS)

Liu, Bing; Gao, Lingceng; Yu, Kairong; Tan, Xianghua

2018-06-01

This paper use the method of multiple linear regression to discuss the data of C problem of mathematical modeling in 2017. First, we have established a regression model for the concentration of 5 substances. But only the regression model of the substance concentration of urea in milk can pass through the significance test. The regression model established by the second sets of data can pass the significance test. But this model exists serious multicollinearity. We have improved the model by principal component analysis. The improved model is used to control the system so that it is possible to measure the concentration of material by direct colorimetric method.

Developing and testing a global-scale regression model to quantify mean annual streamflow

NASA Astrophysics Data System (ADS)

Barbarossa, Valerio; Huijbregts, Mark A. J.; Hendriks, A. Jan; Beusen, Arthur H. W.; Clavreul, Julie; King, Henry; Schipper, Aafke M.

2017-01-01

Quantifying mean annual flow of rivers (MAF) at ungauged sites is essential for assessments of global water supply, ecosystem integrity and water footprints. MAF can be quantified with spatially explicit process-based models, which might be overly time-consuming and data-intensive for this purpose, or with empirical regression models that predict MAF based on climate and catchment characteristics. Yet, regression models have mostly been developed at a regional scale and the extent to which they can be extrapolated to other regions is not known. In this study, we developed a global-scale regression model for MAF based on a dataset unprecedented in size, using observations of discharge and catchment characteristics from 1885 catchments worldwide, measuring between 2 and 106 km2. In addition, we compared the performance of the regression model with the predictive ability of the spatially explicit global hydrological model PCR-GLOBWB by comparing results from both models to independent measurements. We obtained a regression model explaining 89% of the variance in MAF based on catchment area and catchment averaged mean annual precipitation and air temperature, slope and elevation. The regression model performed better than PCR-GLOBWB for the prediction of MAF, as root-mean-square error (RMSE) values were lower (0.29-0.38 compared to 0.49-0.57) and the modified index of agreement (d) was higher (0.80-0.83 compared to 0.72-0.75). Our regression model can be applied globally to estimate MAF at any point of the river network, thus providing a feasible alternative to spatially explicit process-based global hydrological models.

Predicting U.S. Army Reserve Unit Manning Using Market Demographics

DTIC Science & Technology

2015-06-01

develops linear regression , classification tree, and logistic regression models to determine the ability of the location to support manning requirements... logistic regression model delivers predictive results that allow decision-makers to identify locations with a high probability of meeting unit...manning requirements. The recommendation of this thesis is that the USAR implement the logistic regression model. 14. SUBJECT TERMS U.S

External Tank Liquid Hydrogen (LH2) Prepress Regression Analysis Independent Review Technical Consultation Report

NASA Technical Reports Server (NTRS)

Parsons, Vickie s.

2009-01-01

The request to conduct an independent review of regression models, developed for determining the expected Launch Commit Criteria (LCC) External Tank (ET)-04 cycle count for the Space Shuttle ET tanking process, was submitted to the NASA Engineering and Safety Center NESC on September 20, 2005. The NESC team performed an independent review of regression models documented in Prepress Regression Analysis, Tom Clark and Angela Krenn, 10/27/05. This consultation consisted of a peer review by statistical experts of the proposed regression models provided in the Prepress Regression Analysis. This document is the consultation's final report.

Stochastic Approximation Methods for Latent Regression Item Response Models

ERIC Educational Resources Information Center

von Davier, Matthias; Sinharay, Sandip

2010-01-01

This article presents an application of a stochastic approximation expectation maximization (EM) algorithm using a Metropolis-Hastings (MH) sampler to estimate the parameters of an item response latent regression model. Latent regression item response models are extensions of item response theory (IRT) to a latent variable model with covariates…

Using Weighted Least Squares Regression for Obtaining Langmuir Sorption Constants

USDA-ARS?s Scientific Manuscript database

One of the most commonly used models for describing phosphorus (P) sorption to soils is the Langmuir model. To obtain model parameters, the Langmuir model is fit to measured sorption data using least squares regression. Least squares regression is based on several assumptions including normally dist...

Regression analysis using dependent Polya trees.

PubMed

Schörgendorfer, Angela; Branscum, Adam J

2013-11-30

Many commonly used models for linear regression analysis force overly simplistic shape and scale constraints on the residual structure of data. We propose a semiparametric Bayesian model for regression analysis that produces data-driven inference by using a new type of dependent Polya tree prior to model arbitrary residual distributions that are allowed to evolve across increasing levels of an ordinal covariate (e.g., time, in repeated measurement studies). By modeling residual distributions at consecutive covariate levels or time points using separate, but dependent Polya tree priors, distributional information is pooled while allowing for broad pliability to accommodate many types of changing residual distributions. We can use the proposed dependent residual structure in a wide range of regression settings, including fixed-effects and mixed-effects linear and nonlinear models for cross-sectional, prospective, and repeated measurement data. A simulation study illustrates the flexibility of our novel semiparametric regression model to accurately capture evolving residual distributions. In an application to immune development data on immunoglobulin G antibodies in children, our new model outperforms several contemporary semiparametric regression models based on a predictive model selection criterion. Copyright © 2013 John Wiley & Sons, Ltd.

[Application of negative binomial regression and modified Poisson regression in the research of risk factors for injury frequency].

PubMed

Cao, Qingqing; Wu, Zhenqiang; Sun, Ying; Wang, Tiezhu; Han, Tengwei; Gu, Chaomei; Sun, Yehuan

2011-11-01

To Eexplore the application of negative binomial regression and modified Poisson regression analysis in analyzing the influential factors for injury frequency and the risk factors leading to the increase of injury frequency. 2917 primary and secondary school students were selected from Hefei by cluster random sampling method and surveyed by questionnaire. The data on the count event-based injuries used to fitted modified Poisson regression and negative binomial regression model. The risk factors incurring the increase of unintentional injury frequency for juvenile students was explored, so as to probe the efficiency of these two models in studying the influential factors for injury frequency. The Poisson model existed over-dispersion (P < 0.0001) based on testing by the Lagrangemultiplier. Therefore, the over-dispersion dispersed data using a modified Poisson regression and negative binomial regression model, was fitted better. respectively. Both showed that male gender, younger age, father working outside of the hometown, the level of the guardian being above junior high school and smoking might be the results of higher injury frequencies. On a tendency of clustered frequency data on injury event, both the modified Poisson regression analysis and negative binomial regression analysis can be used. However, based on our data, the modified Poisson regression fitted better and this model could give a more accurate interpretation of relevant factors affecting the frequency of injury.

Geodesic least squares regression on information manifolds

DOE Office of Scientific and Technical Information (OSTI.GOV)

Verdoolaege, Geert, E-mail: geert.verdoolaege@ugent.be

We present a novel regression method targeted at situations with significant uncertainty on both the dependent and independent variables or with non-Gaussian distribution models. Unlike the classic regression model, the conditional distribution of the response variable suggested by the data need not be the same as the modeled distribution. Instead they are matched by minimizing the Rao geodesic distance between them. This yields a more flexible regression method that is less constrained by the assumptions imposed through the regression model. As an example, we demonstrate the improved resistance of our method against some flawed model assumptions and we apply thismore » to scaling laws in magnetic confinement fusion.« less

Background stratified Poisson regression analysis of cohort data.

PubMed

Richardson, David B; Langholz, Bryan

2012-03-01

Background stratified Poisson regression is an approach that has been used in the analysis of data derived from a variety of epidemiologically important studies of radiation-exposed populations, including uranium miners, nuclear industry workers, and atomic bomb survivors. We describe a novel approach to fit Poisson regression models that adjust for a set of covariates through background stratification while directly estimating the radiation-disease association of primary interest. The approach makes use of an expression for the Poisson likelihood that treats the coefficients for stratum-specific indicator variables as 'nuisance' variables and avoids the need to explicitly estimate the coefficients for these stratum-specific parameters. Log-linear models, as well as other general relative rate models, are accommodated. This approach is illustrated using data from the Life Span Study of Japanese atomic bomb survivors and data from a study of underground uranium miners. The point estimate and confidence interval obtained from this 'conditional' regression approach are identical to the values obtained using unconditional Poisson regression with model terms for each background stratum. Moreover, it is shown that the proposed approach allows estimation of background stratified Poisson regression models of non-standard form, such as models that parameterize latency effects, as well as regression models in which the number of strata is large, thereby overcoming the limitations of previously available statistical software for fitting background stratified Poisson regression models.

Procedures for adjusting regional regression models of urban-runoff quality using local data

USGS Publications Warehouse

Hoos, A.B.; Sisolak, J.K.

1993-01-01

Statistical operations termed model-adjustment procedures (MAP?s) can be used to incorporate local data into existing regression models to improve the prediction of urban-runoff quality. Each MAP is a form of regression analysis in which the local data base is used as a calibration data set. Regression coefficients are determined from the local data base, and the resulting `adjusted? regression models can then be used to predict storm-runoff quality at unmonitored sites. The response variable in the regression analyses is the observed load or mean concentration of a constituent in storm runoff for a single storm. The set of explanatory variables used in the regression analyses is different for each MAP, but always includes the predicted value of load or mean concentration from a regional regression model. The four MAP?s examined in this study were: single-factor regression against the regional model prediction, P, (termed MAP-lF-P), regression against P,, (termed MAP-R-P), regression against P, and additional local variables (termed MAP-R-P+nV), and a weighted combination of P, and a local-regression prediction (termed MAP-W). The procedures were tested by means of split-sample analysis, using data from three cities included in the Nationwide Urban Runoff Program: Denver, Colorado; Bellevue, Washington; and Knoxville, Tennessee. The MAP that provided the greatest predictive accuracy for the verification data set differed among the three test data bases and among model types (MAP-W for Denver and Knoxville, MAP-lF-P and MAP-R-P for Bellevue load models, and MAP-R-P+nV for Bellevue concentration models) and, in many cases, was not clearly indicated by the values of standard error of estimate for the calibration data set. A scheme to guide MAP selection, based on exploratory data analysis of the calibration data set, is presented and tested. The MAP?s were tested for sensitivity to the size of a calibration data set. As expected, predictive accuracy of all MAP?s for the verification data set decreased as the calibration data-set size decreased, but predictive accuracy was not as sensitive for the MAP?s as it was for the local regression models.

Accounting for measurement error in log regression models with applications to accelerated testing.

PubMed

Richardson, Robert; Tolley, H Dennis; Evenson, William E; Lunt, Barry M

2018-01-01

In regression settings, parameter estimates will be biased when the explanatory variables are measured with error. This bias can significantly affect modeling goals. In particular, accelerated lifetime testing involves an extrapolation of the fitted model, and a small amount of bias in parameter estimates may result in a significant increase in the bias of the extrapolated predictions. Additionally, bias may arise when the stochastic component of a log regression model is assumed to be multiplicative when the actual underlying stochastic component is additive. To account for these possible sources of bias, a log regression model with measurement error and additive error is approximated by a weighted regression model which can be estimated using Iteratively Re-weighted Least Squares. Using the reduced Eyring equation in an accelerated testing setting, the model is compared to previously accepted approaches to modeling accelerated testing data with both simulations and real data.

Use of empirical likelihood to calibrate auxiliary information in partly linear monotone regression models.

PubMed

Chen, Baojiang; Qin, Jing

2014-05-10

In statistical analysis, a regression model is needed if one is interested in finding the relationship between a response variable and covariates. When the response depends on the covariate, then it may also depend on the function of this covariate. If one has no knowledge of this functional form but expect for monotonic increasing or decreasing, then the isotonic regression model is preferable. Estimation of parameters for isotonic regression models is based on the pool-adjacent-violators algorithm (PAVA), where the monotonicity constraints are built in. With missing data, people often employ the augmented estimating method to improve estimation efficiency by incorporating auxiliary information through a working regression model. However, under the framework of the isotonic regression model, the PAVA does not work as the monotonicity constraints are violated. In this paper, we develop an empirical likelihood-based method for isotonic regression model to incorporate the auxiliary information. Because the monotonicity constraints still hold, the PAVA can be used for parameter estimation. Simulation studies demonstrate that the proposed method can yield more efficient estimates, and in some situations, the efficiency improvement is substantial. We apply this method to a dementia study. Copyright © 2013 John Wiley & Sons, Ltd.

Logistic regression for dichotomized counts.

PubMed

Preisser, John S; Das, Kalyan; Benecha, Habtamu; Stamm, John W

2016-12-01

Sometimes there is interest in a dichotomized outcome indicating whether a count variable is positive or zero. Under this scenario, the application of ordinary logistic regression may result in efficiency loss, which is quantifiable under an assumed model for the counts. In such situations, a shared-parameter hurdle model is investigated for more efficient estimation of regression parameters relating to overall effects of covariates on the dichotomous outcome, while handling count data with many zeroes. One model part provides a logistic regression containing marginal log odds ratio effects of primary interest, while an ancillary model part describes the mean count of a Poisson or negative binomial process in terms of nuisance regression parameters. Asymptotic efficiency of the logistic model parameter estimators of the two-part models is evaluated with respect to ordinary logistic regression. Simulations are used to assess the properties of the models with respect to power and Type I error, the latter investigated under both misspecified and correctly specified models. The methods are applied to data from a randomized clinical trial of three toothpaste formulations to prevent incident dental caries in a large population of Scottish schoolchildren. © The Author(s) 2014.

The Equivalence of Regression Models Using Difference Scores and Models Using Separate Scores for Each Informant: Implications for the Study of Informant Discrepancies

ERIC Educational Resources Information Center

Laird, Robert D.; Weems, Carl F.

2011-01-01

Research on informant discrepancies has increasingly utilized difference scores. This article demonstrates the statistical equivalence of regression models using difference scores (raw or standardized) and regression models using separate scores for each informant to show that interpretations should be consistent with both models. First,…

Guidelines and Procedures for Computing Time-Series Suspended-Sediment Concentrations and Loads from In-Stream Turbidity-Sensor and Streamflow Data

USGS Publications Warehouse

Rasmussen, Patrick P.; Gray, John R.; Glysson, G. Douglas; Ziegler, Andrew C.

2009-01-01

In-stream continuous turbidity and streamflow data, calibrated with measured suspended-sediment concentration data, can be used to compute a time series of suspended-sediment concentration and load at a stream site. Development of a simple linear (ordinary least squares) regression model for computing suspended-sediment concentrations from instantaneous turbidity data is the first step in the computation process. If the model standard percentage error (MSPE) of the simple linear regression model meets a minimum criterion, this model should be used to compute a time series of suspended-sediment concentrations. Otherwise, a multiple linear regression model using paired instantaneous turbidity and streamflow data is developed and compared to the simple regression model. If the inclusion of the streamflow variable proves to be statistically significant and the uncertainty associated with the multiple regression model results in an improvement over that for the simple linear model, the turbidity-streamflow multiple linear regression model should be used to compute a suspended-sediment concentration time series. The computed concentration time series is subsequently used with its paired streamflow time series to compute suspended-sediment loads by standard U.S. Geological Survey techniques. Once an acceptable regression model is developed, it can be used to compute suspended-sediment concentration beyond the period of record used in model development with proper ongoing collection and analysis of calibration samples. Regression models to compute suspended-sediment concentrations are generally site specific and should never be considered static, but they represent a set period in a continually dynamic system in which additional data will help verify any change in sediment load, type, and source.

Population heterogeneity in the salience of multiple risk factors for adolescent delinquency.

PubMed

Lanza, Stephanie T; Cooper, Brittany R; Bray, Bethany C

2014-03-01

To present mixture regression analysis as an alternative to more standard regression analysis for predicting adolescent delinquency. We demonstrate how mixture regression analysis allows for the identification of population subgroups defined by the salience of multiple risk factors. We identified population subgroups (i.e., latent classes) of individuals based on their coefficients in a regression model predicting adolescent delinquency from eight previously established risk indices drawn from the community, school, family, peer, and individual levels. The study included N = 37,763 10th-grade adolescents who participated in the Communities That Care Youth Survey. Standard, zero-inflated, and mixture Poisson and negative binomial regression models were considered. Standard and mixture negative binomial regression models were selected as optimal. The five-class regression model was interpreted based on the class-specific regression coefficients, indicating that risk factors had varying salience across classes of adolescents. Standard regression showed that all risk factors were significantly associated with delinquency. Mixture regression provided more nuanced information, suggesting a unique set of risk factors that were salient for different subgroups of adolescents. Implications for the design of subgroup-specific interventions are discussed. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Two levels ARIMAX and regression models for forecasting time series data with calendar variation effects

NASA Astrophysics Data System (ADS)

Suhartono, Lee, Muhammad Hisyam; Prastyo, Dedy Dwi

2015-12-01

The aim of this research is to develop a calendar variation model for forecasting retail sales data with the Eid ul-Fitr effect. The proposed model is based on two methods, namely two levels ARIMAX and regression methods. Two levels ARIMAX and regression models are built by using ARIMAX for the first level and regression for the second level. Monthly men's jeans and women's trousers sales in a retail company for the period January 2002 to September 2009 are used as case study. In general, two levels of calendar variation model yields two models, namely the first model to reconstruct the sales pattern that already occurred, and the second model to forecast the effect of increasing sales due to Eid ul-Fitr that affected sales at the same and the previous months. The results show that the proposed two level calendar variation model based on ARIMAX and regression methods yields better forecast compared to the seasonal ARIMA model and Neural Networks.

Regression Models for Identifying Noise Sources in Magnetic Resonance Images

PubMed Central

Zhu, Hongtu; Li, Yimei; Ibrahim, Joseph G.; Shi, Xiaoyan; An, Hongyu; Chen, Yashen; Gao, Wei; Lin, Weili; Rowe, Daniel B.; Peterson, Bradley S.

2009-01-01

Stochastic noise, susceptibility artifacts, magnetic field and radiofrequency inhomogeneities, and other noise components in magnetic resonance images (MRIs) can introduce serious bias into any measurements made with those images. We formally introduce three regression models including a Rician regression model and two associated normal models to characterize stochastic noise in various magnetic resonance imaging modalities, including diffusion-weighted imaging (DWI) and functional MRI (fMRI). Estimation algorithms are introduced to maximize the likelihood function of the three regression models. We also develop a diagnostic procedure for systematically exploring MR images to identify noise components other than simple stochastic noise, and to detect discrepancies between the fitted regression models and MRI data. The diagnostic procedure includes goodness-of-fit statistics, measures of influence, and tools for graphical display. The goodness-of-fit statistics can assess the key assumptions of the three regression models, whereas measures of influence can isolate outliers caused by certain noise components, including motion artifacts. The tools for graphical display permit graphical visualization of the values for the goodness-of-fit statistic and influence measures. Finally, we conduct simulation studies to evaluate performance of these methods, and we analyze a real dataset to illustrate how our diagnostic procedure localizes subtle image artifacts by detecting intravoxel variability that is not captured by the regression models. PMID:19890478

Regression Model for Light Weight and Crashworthiness Enhancement Design of Automotive Parts in Frontal CAR Crash

NASA Astrophysics Data System (ADS)

Bae, Gihyun; Huh, Hoon; Park, Sungho

This paper deals with a regression model for light weight and crashworthiness enhancement design of automotive parts in frontal car crash. The ULSAB-AVC model is employed for the crash analysis and effective parts are selected based on the amount of energy absorption during the crash behavior. Finite element analyses are carried out for designated design cases in order to investigate the crashworthiness and weight according to the material and thickness of main energy absorption parts. Based on simulations results, a regression analysis is performed to construct a regression model utilized for light weight and crashworthiness enhancement design of automotive parts. An example for weight reduction of main energy absorption parts demonstrates the validity of a regression model constructed.

Army College Fund Cost-Effectiveness Study

DTIC Science & Technology

1990-11-01

Section A.2 presents a theory of enlistment supply to provide a basis for specifying the regression model , The model Is specified in Section A.3, which...Supplementary materials are included in the final four sections. Section A.6 provides annual trends in the regression model variables. Estimates of the model ...millions, A.S. ESTIMATION OF A YOUTH EARNINGS FORECASTING MODEL Civilian pay is an important explanatory variable in the regression model . Previous

RRegrs: an R package for computer-aided model selection with multiple regression models.

PubMed

Tsiliki, Georgia; Munteanu, Cristian R; Seoane, Jose A; Fernandez-Lozano, Carlos; Sarimveis, Haralambos; Willighagen, Egon L

2015-01-01

Predictive regression models can be created with many different modelling approaches. Choices need to be made for data set splitting, cross-validation methods, specific regression parameters and best model criteria, as they all affect the accuracy and efficiency of the produced predictive models, and therefore, raising model reproducibility and comparison issues. Cheminformatics and bioinformatics are extensively using predictive modelling and exhibit a need for standardization of these methodologies in order to assist model selection and speed up the process of predictive model development. A tool accessible to all users, irrespectively of their statistical knowledge, would be valuable if it tests several simple and complex regression models and validation schemes, produce unified reports, and offer the option to be integrated into more extensive studies. Additionally, such methodology should be implemented as a free programming package, in order to be continuously adapted and redistributed by others. We propose an integrated framework for creating multiple regression models, called RRegrs. The tool offers the option of ten simple and complex regression methods combined with repeated 10-fold and leave-one-out cross-validation. Methods include Multiple Linear regression, Generalized Linear Model with Stepwise Feature Selection, Partial Least Squares regression, Lasso regression, and Support Vector Machines Recursive Feature Elimination. The new framework is an automated fully validated procedure which produces standardized reports to quickly oversee the impact of choices in modelling algorithms and assess the model and cross-validation results. The methodology was implemented as an open source R package, available at https://www.github.com/enanomapper/RRegrs, by reusing and extending on the caret package. The universality of the new methodology is demonstrated using five standard data sets from different scientific fields. Its efficiency in cheminformatics and QSAR modelling is shown with three use cases: proteomics data for surface-modified gold nanoparticles, nano-metal oxides descriptor data, and molecular descriptors for acute aquatic toxicity data. The results show that for all data sets RRegrs reports models with equal or better performance for both training and test sets than those reported in the original publications. Its good performance as well as its adaptability in terms of parameter optimization could make RRegrs a popular framework to assist the initial exploration of predictive models, and with that, the design of more comprehensive in silico screening applications.Graphical abstractRRegrs is a computer-aided model selection framework for R multiple regression models; this is a fully validated procedure with application to QSAR modelling.

Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis

PubMed Central

Ebrahimzadeh, Farzad; Hajizadeh, Ebrahim; Vahabi, Nasim; Almasian, Mohammad; Bakhteyar, Katayoon

2015-01-01

Background: Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. Methods: In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were selected by the stratified and cluster sampling; relevant variables were measured and for prediction of unwanted pregnancy, logistic regression, discriminant analysis, and probit regression models and SPSS software version 21 were used. To compare these models, indicators such as sensitivity, specificity, the area under the ROC curve, and the percentage of correct predictions were used. Results: The prevalence of unwanted pregnancies was 25.3%. The logistic and probit regression models indicated that parity and pregnancy spacing, contraceptive methods, household income and number of living male children were related to unwanted pregnancy. The performance of the models based on the area under the ROC curve was 0.735, 0.733, and 0.680 for logistic regression, probit regression, and linear discriminant analysis, respectively. Conclusion: Given the relatively high prevalence of unwanted pregnancies in Khorramabad, it seems necessary to revise family planning programs. Despite the similar accuracy of the models, if the researcher is interested in the interpretability of the results, the use of the logistic regression model is recommended. PMID:26793655

Prediction of unwanted pregnancies using logistic regression, probit regression and discriminant analysis.

PubMed

Ebrahimzadeh, Farzad; Hajizadeh, Ebrahim; Vahabi, Nasim; Almasian, Mohammad; Bakhteyar, Katayoon

2015-01-01

Unwanted pregnancy not intended by at least one of the parents has undesirable consequences for the family and the society. In the present study, three classification models were used and compared to predict unwanted pregnancies in an urban population. In this cross-sectional study, 887 pregnant mothers referring to health centers in Khorramabad, Iran, in 2012 were selected by the stratified and cluster sampling; relevant variables were measured and for prediction of unwanted pregnancy, logistic regression, discriminant analysis, and probit regression models and SPSS software version 21 were used. To compare these models, indicators such as sensitivity, specificity, the area under the ROC curve, and the percentage of correct predictions were used. The prevalence of unwanted pregnancies was 25.3%. The logistic and probit regression models indicated that parity and pregnancy spacing, contraceptive methods, household income and number of living male children were related to unwanted pregnancy. The performance of the models based on the area under the ROC curve was 0.735, 0.733, and 0.680 for logistic regression, probit regression, and linear discriminant analysis, respectively. Given the relatively high prevalence of unwanted pregnancies in Khorramabad, it seems necessary to revise family planning programs. Despite the similar accuracy of the models, if the researcher is interested in the interpretability of the results, the use of the logistic regression model is recommended.

Correlation and simple linear regression.

PubMed

Eberly, Lynn E

2007-01-01

This chapter highlights important steps in using correlation and simple linear regression to address scientific questions about the association of two continuous variables with each other. These steps include estimation and inference, assessing model fit, the connection between regression and ANOVA, and study design. Examples in microbiology are used throughout. This chapter provides a framework that is helpful in understanding more complex statistical techniques, such as multiple linear regression, linear mixed effects models, logistic regression, and proportional hazards regression.

Linear Multivariable Regression Models for Prediction of Eddy Dissipation Rate from Available Meteorological Data

NASA Technical Reports Server (NTRS)

MCKissick, Burnell T. (Technical Monitor); Plassman, Gerald E.; Mall, Gerald H.; Quagliano, John R.

2005-01-01

Linear multivariable regression models for predicting day and night Eddy Dissipation Rate (EDR) from available meteorological data sources are defined and validated. Model definition is based on a combination of 1997-2000 Dallas/Fort Worth (DFW) data sources, EDR from Aircraft Vortex Spacing System (AVOSS) deployment data, and regression variables primarily from corresponding Automated Surface Observation System (ASOS) data. Model validation is accomplished through EDR predictions on a similar combination of 1994-1995 Memphis (MEM) AVOSS and ASOS data. Model forms include an intercept plus a single term of fixed optimal power for each of these regression variables; 30-minute forward averaged mean and variance of near-surface wind speed and temperature, variance of wind direction, and a discrete cloud cover metric. Distinct day and night models, regressing on EDR and the natural log of EDR respectively, yield best performance and avoid model discontinuity over day/night data boundaries.

Stochastic Approximation Methods for Latent Regression Item Response Models. Research Report. ETS RR-09-09

ERIC Educational Resources Information Center

von Davier, Matthias; Sinharay, Sandip

2009-01-01

This paper presents an application of a stochastic approximation EM-algorithm using a Metropolis-Hastings sampler to estimate the parameters of an item response latent regression model. Latent regression models are extensions of item response theory (IRT) to a 2-level latent variable model in which covariates serve as predictors of the…

An Entropy-Based Measure for Assessing Fuzziness in Logistic Regression

ERIC Educational Resources Information Center

Weiss, Brandi A.; Dardick, William

2016-01-01

This article introduces an entropy-based measure of data-model fit that can be used to assess the quality of logistic regression models. Entropy has previously been used in mixture-modeling to quantify how well individuals are classified into latent classes. The current study proposes the use of entropy for logistic regression models to quantify…

Exact Analysis of Squared Cross-Validity Coefficient in Predictive Regression Models

ERIC Educational Resources Information Center

Shieh, Gwowen

2009-01-01

In regression analysis, the notion of population validity is of theoretical interest for describing the usefulness of the underlying regression model, whereas the presumably more important concept of population cross-validity represents the predictive effectiveness for the regression equation in future research. It appears that the inference…

Building Regression Models: The Importance of Graphics.

ERIC Educational Resources Information Center

Dunn, Richard

1989-01-01

Points out reasons for using graphical methods to teach simple and multiple regression analysis. Argues that a graphically oriented approach has considerable pedagogic advantages in the exposition of simple and multiple regression. Shows that graphical methods may play a central role in the process of building regression models. (Author/LS)

Testing Different Model Building Procedures Using Multiple Regression.

ERIC Educational Resources Information Center

Thayer, Jerome D.

The stepwise regression method of selecting predictors for computer assisted multiple regression analysis was compared with forward, backward, and best subsets regression, using 16 data sets. The results indicated the stepwise method was preferred because of its practical nature, when the models chosen by different selection methods were similar…

Hierarchical cluster-based partial least squares regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models.

PubMed

Tøndel, Kristin; Indahl, Ulf G; Gjuvsland, Arne B; Vik, Jon Olav; Hunter, Peter; Omholt, Stig W; Martens, Harald

2011-06-01

Deterministic dynamic models of complex biological systems contain a large number of parameters and state variables, related through nonlinear differential equations with various types of feedback. A metamodel of such a dynamic model is a statistical approximation model that maps variation in parameters and initial conditions (inputs) to variation in features of the trajectories of the state variables (outputs) throughout the entire biologically relevant input space. A sufficiently accurate mapping can be exploited both instrumentally and epistemically. Multivariate regression methodology is a commonly used approach for emulating dynamic models. However, when the input-output relations are highly nonlinear or non-monotone, a standard linear regression approach is prone to give suboptimal results. We therefore hypothesised that a more accurate mapping can be obtained by locally linear or locally polynomial regression. We present here a new method for local regression modelling, Hierarchical Cluster-based PLS regression (HC-PLSR), where fuzzy C-means clustering is used to separate the data set into parts according to the structure of the response surface. We compare the metamodelling performance of HC-PLSR with polynomial partial least squares regression (PLSR) and ordinary least squares (OLS) regression on various systems: six different gene regulatory network models with various types of feedback, a deterministic mathematical model of the mammalian circadian clock and a model of the mouse ventricular myocyte function. Our results indicate that multivariate regression is well suited for emulating dynamic models in systems biology. The hierarchical approach turned out to be superior to both polynomial PLSR and OLS regression in all three test cases. The advantage, in terms of explained variance and prediction accuracy, was largest in systems with highly nonlinear functional relationships and in systems with positive feedback loops. HC-PLSR is a promising approach for metamodelling in systems biology, especially for highly nonlinear or non-monotone parameter to phenotype maps. The algorithm can be flexibly adjusted to suit the complexity of the dynamic model behaviour, inviting automation in the metamodelling of complex systems.

Hierarchical Cluster-based Partial Least Squares Regression (HC-PLSR) is an efficient tool for metamodelling of nonlinear dynamic models

PubMed Central

2011-01-01

Background Deterministic dynamic models of complex biological systems contain a large number of parameters and state variables, related through nonlinear differential equations with various types of feedback. A metamodel of such a dynamic model is a statistical approximation model that maps variation in parameters and initial conditions (inputs) to variation in features of the trajectories of the state variables (outputs) throughout the entire biologically relevant input space. A sufficiently accurate mapping can be exploited both instrumentally and epistemically. Multivariate regression methodology is a commonly used approach for emulating dynamic models. However, when the input-output relations are highly nonlinear or non-monotone, a standard linear regression approach is prone to give suboptimal results. We therefore hypothesised that a more accurate mapping can be obtained by locally linear or locally polynomial regression. We present here a new method for local regression modelling, Hierarchical Cluster-based PLS regression (HC-PLSR), where fuzzy C-means clustering is used to separate the data set into parts according to the structure of the response surface. We compare the metamodelling performance of HC-PLSR with polynomial partial least squares regression (PLSR) and ordinary least squares (OLS) regression on various systems: six different gene regulatory network models with various types of feedback, a deterministic mathematical model of the mammalian circadian clock and a model of the mouse ventricular myocyte function. Results Our results indicate that multivariate regression is well suited for emulating dynamic models in systems biology. The hierarchical approach turned out to be superior to both polynomial PLSR and OLS regression in all three test cases. The advantage, in terms of explained variance and prediction accuracy, was largest in systems with highly nonlinear functional relationships and in systems with positive feedback loops. Conclusions HC-PLSR is a promising approach for metamodelling in systems biology, especially for highly nonlinear or non-monotone parameter to phenotype maps. The algorithm can be flexibly adjusted to suit the complexity of the dynamic model behaviour, inviting automation in the metamodelling of complex systems. PMID:21627852

A consistent framework for Horton regression statistics that leads to a modified Hack's law

USGS Publications Warehouse

Furey, P.R.; Troutman, B.M.

2008-01-01

A statistical framework is introduced that resolves important problems with the interpretation and use of traditional Horton regression statistics. The framework is based on a univariate regression model that leads to an alternative expression for Horton ratio, connects Horton regression statistics to distributional simple scaling, and improves the accuracy in estimating Horton plot parameters. The model is used to examine data for drainage area A and mainstream length L from two groups of basins located in different physiographic settings. Results show that confidence intervals for the Horton plot regression statistics are quite wide. Nonetheless, an analysis of covariance shows that regression intercepts, but not regression slopes, can be used to distinguish between basin groups. The univariate model is generalized to include n > 1 dependent variables. For the case where the dependent variables represent ln A and ln L, the generalized model performs somewhat better at distinguishing between basin groups than two separate univariate models. The generalized model leads to a modification of Hack's law where L depends on both A and Strahler order ??. Data show that ?? plays a statistically significant role in the modified Hack's law expression. ?? 2008 Elsevier B.V.

Evaluation of Regression Models of Balance Calibration Data Using an Empirical Criterion

NASA Technical Reports Server (NTRS)

Ulbrich, Norbert; Volden, Thomas R.

2012-01-01

An empirical criterion for assessing the significance of individual terms of regression models of wind tunnel strain gage balance outputs is evaluated. The criterion is based on the percent contribution of a regression model term. It considers a term to be significant if its percent contribution exceeds the empirical threshold of 0.05%. The criterion has the advantage that it can easily be computed using the regression coefficients of the gage outputs and the load capacities of the balance. First, a definition of the empirical criterion is provided. Then, it is compared with an alternate statistical criterion that is widely used in regression analysis. Finally, calibration data sets from a variety of balances are used to illustrate the connection between the empirical and the statistical criterion. A review of these results indicated that the empirical criterion seems to be suitable for a crude assessment of the significance of a regression model term as the boundary between a significant and an insignificant term cannot be defined very well. Therefore, regression model term reduction should only be performed by using the more universally applicable statistical criterion.

Widen NomoGram for multinomial logistic regression: an application to staging liver fibrosis in chronic hepatitis C patients.

PubMed

Ardoino, Ilaria; Lanzoni, Monica; Marano, Giuseppe; Boracchi, Patrizia; Sagrini, Elisabetta; Gianstefani, Alice; Piscaglia, Fabio; Biganzoli, Elia M

2017-04-01

The interpretation of regression models results can often benefit from the generation of nomograms, 'user friendly' graphical devices especially useful for assisting the decision-making processes. However, in the case of multinomial regression models, whenever categorical responses with more than two classes are involved, nomograms cannot be drawn in the conventional way. Such a difficulty in managing and interpreting the outcome could often result in a limitation of the use of multinomial regression in decision-making support. In the present paper, we illustrate the derivation of a non-conventional nomogram for multinomial regression models, intended to overcome this issue. Although it may appear less straightforward at first sight, the proposed methodology allows an easy interpretation of the results of multinomial regression models and makes them more accessible for clinicians and general practitioners too. Development of prediction model based on multinomial logistic regression and of the pertinent graphical tool is illustrated by means of an example involving the prediction of the extent of liver fibrosis in hepatitis C patients by routinely available markers.

Robust mislabel logistic regression without modeling mislabel probabilities.

PubMed

Hung, Hung; Jou, Zhi-Yu; Huang, Su-Yun

2018-03-01

Logistic regression is among the most widely used statistical methods for linear discriminant analysis. In many applications, we only observe possibly mislabeled responses. Fitting a conventional logistic regression can then lead to biased estimation. One common resolution is to fit a mislabel logistic regression model, which takes into consideration of mislabeled responses. Another common method is to adopt a robust M-estimation by down-weighting suspected instances. In this work, we propose a new robust mislabel logistic regression based on γ-divergence. Our proposal possesses two advantageous features: (1) It does not need to model the mislabel probabilities. (2) The minimum γ-divergence estimation leads to a weighted estimating equation without the need to include any bias correction term, that is, it is automatically bias-corrected. These features make the proposed γ-logistic regression more robust in model fitting and more intuitive for model interpretation through a simple weighting scheme. Our method is also easy to implement, and two types of algorithms are included. Simulation studies and the Pima data application are presented to demonstrate the performance of γ-logistic regression. © 2017, The International Biometric Society.

Application of Semiparametric Spline Regression Model in Analyzing Factors that In uence Population Density in Central Java

NASA Astrophysics Data System (ADS)

Sumantari, Y. D.; Slamet, I.; Sugiyanto

2017-06-01

Semiparametric regression is a statistical analysis method that consists of parametric and nonparametric regression. There are various approach techniques in nonparametric regression. One of the approach techniques is spline. Central Java is one of the most densely populated province in Indonesia. Population density in this province can be modeled by semiparametric regression because it consists of parametric and nonparametric component. Therefore, the purpose of this paper is to determine the factors that in uence population density in Central Java using the semiparametric spline regression model. The result shows that the factors which in uence population density in Central Java is Family Planning (FP) active participants and district minimum wage.

Development of an anaerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test

PubMed Central

Ham, Joo-ho; Park, Hun-Young; Kim, Youn-ho; Bae, Sang-kon; Ko, Byung-hoon

2017-01-01

[Purpose] The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model. [Methods] We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20–59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined. [Results] Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model. [Conclusion] These results suggest that HRT is a useful parameter for predicting HRLT and HRVT. PMID:29036765

OPLS statistical model versus linear regression to assess sonographic predictors of stroke prognosis.

PubMed

Vajargah, Kianoush Fathi; Sadeghi-Bazargani, Homayoun; Mehdizadeh-Esfanjani, Robab; Savadi-Oskouei, Daryoush; Farhoudi, Mehdi

2012-01-01

The objective of the present study was to assess the comparable applicability of orthogonal projections to latent structures (OPLS) statistical model vs traditional linear regression in order to investigate the role of trans cranial doppler (TCD) sonography in predicting ischemic stroke prognosis. The study was conducted on 116 ischemic stroke patients admitted to a specialty neurology ward. The Unified Neurological Stroke Scale was used once for clinical evaluation on the first week of admission and again six months later. All data was primarily analyzed using simple linear regression and later considered for multivariate analysis using PLS/OPLS models through the SIMCA P+12 statistical software package. The linear regression analysis results used for the identification of TCD predictors of stroke prognosis were confirmed through the OPLS modeling technique. Moreover, in comparison to linear regression, the OPLS model appeared to have higher sensitivity in detecting the predictors of ischemic stroke prognosis and detected several more predictors. Applying the OPLS model made it possible to use both single TCD measures/indicators and arbitrarily dichotomized measures of TCD single vessel involvement as well as the overall TCD result. In conclusion, the authors recommend PLS/OPLS methods as complementary rather than alternative to the available classical regression models such as linear regression.

Development of an anaerobic threshold (HRLT, HRVT) estimation equation using the heart rate threshold (HRT) during the treadmill incremental exercise test.

PubMed

Ham, Joo-Ho; Park, Hun-Young; Kim, Youn-Ho; Bae, Sang-Kon; Ko, Byung-Hoon; Nam, Sang-Seok

2017-09-30

The purpose of this study was to develop a regression model to estimate the heart rate at the lactate threshold (HRLT) and the heart rate at the ventilatory threshold (HRVT) using the heart rate threshold (HRT), and to test the validity of the regression model. We performed a graded exercise test with a treadmill in 220 normal individuals (men: 112, women: 108) aged 20-59 years. HRT, HRLT, and HRVT were measured in all subjects. A regression model was developed to estimate HRLT and HRVT using HRT with 70% of the data (men: 79, women: 76) through randomization (7:3), with the Bernoulli trial. The validity of the regression model developed with the remaining 30% of the data (men: 33, women: 32) was also examined. Based on the regression coefficient, we found that the independent variable HRT was a significant variable in all regression models. The adjusted R2 of the developed regression models averaged about 70%, and the standard error of estimation of the validity test results was 11 bpm, which is similar to that of the developed model. These results suggest that HRT is a useful parameter for predicting HRLT and HRVT. ©2017 The Korean Society for Exercise Nutrition

Weather variability and the incidence of cryptosporidiosis: comparison of time series poisson regression and SARIMA models.

PubMed

Hu, Wenbiao; Tong, Shilu; Mengersen, Kerrie; Connell, Des

2007-09-01

Few studies have examined the relationship between weather variables and cryptosporidiosis in Australia. This paper examines the potential impact of weather variability on the transmission of cryptosporidiosis and explores the possibility of developing an empirical forecast system. Data on weather variables, notified cryptosporidiosis cases, and population size in Brisbane were supplied by the Australian Bureau of Meteorology, Queensland Department of Health, and Australian Bureau of Statistics for the period of January 1, 1996-December 31, 2004, respectively. Time series Poisson regression and seasonal auto-regression integrated moving average (SARIMA) models were performed to examine the potential impact of weather variability on the transmission of cryptosporidiosis. Both the time series Poisson regression and SARIMA models show that seasonal and monthly maximum temperature at a prior moving average of 1 and 3 months were significantly associated with cryptosporidiosis disease. It suggests that there may be 50 more cases a year for an increase of 1 degrees C maximum temperature on average in Brisbane. Model assessments indicated that the SARIMA model had better predictive ability than the Poisson regression model (SARIMA: root mean square error (RMSE): 0.40, Akaike information criterion (AIC): -12.53; Poisson regression: RMSE: 0.54, AIC: -2.84). Furthermore, the analysis of residuals shows that the time series Poisson regression appeared to violate a modeling assumption, in that residual autocorrelation persisted. The results of this study suggest that weather variability (particularly maximum temperature) may have played a significant role in the transmission of cryptosporidiosis. A SARIMA model may be a better predictive model than a Poisson regression model in the assessment of the relationship between weather variability and the incidence of cryptosporidiosis.

Spatial Double Generalized Beta Regression Models: Extensions and Application to Study Quality of Education in Colombia

ERIC Educational Resources Information Center

Cepeda-Cuervo, Edilberto; Núñez-Antón, Vicente

2013-01-01

In this article, a proposed Bayesian extension of the generalized beta spatial regression models is applied to the analysis of the quality of education in Colombia. We briefly revise the beta distribution and describe the joint modeling approach for the mean and dispersion parameters in the spatial regression models' setting. Finally, we motivate…

Hidden Connections between Regression Models of Strain-Gage Balance Calibration Data

NASA Technical Reports Server (NTRS)

Ulbrich, Norbert

2013-01-01

Hidden connections between regression models of wind tunnel strain-gage balance calibration data are investigated. These connections become visible whenever balance calibration data is supplied in its design format and both the Iterative and Non-Iterative Method are used to process the data. First, it is shown how the regression coefficients of the fitted balance loads of a force balance can be approximated by using the corresponding regression coefficients of the fitted strain-gage outputs. Then, data from the manual calibration of the Ames MK40 six-component force balance is chosen to illustrate how estimates of the regression coefficients of the fitted balance loads can be obtained from the regression coefficients of the fitted strain-gage outputs. The study illustrates that load predictions obtained by applying the Iterative or the Non-Iterative Method originate from two related regression solutions of the balance calibration data as long as balance loads are given in the design format of the balance, gage outputs behave highly linear, strict statistical quality metrics are used to assess regression models of the data, and regression model term combinations of the fitted loads and gage outputs can be obtained by a simple variable exchange.

Investigating the Performance of Alternate Regression Weights by Studying All Possible Criteria in Regression Models with a Fixed Set of Predictors

ERIC Educational Resources Information Center

Waller, Niels; Jones, Jeff

2011-01-01

We describe methods for assessing all possible criteria (i.e., dependent variables) and subsets of criteria for regression models with a fixed set of predictors, x (where x is an n x 1 vector of independent variables). Our methods build upon the geometry of regression coefficients (hereafter called regression weights) in n-dimensional space. For a…

Logistic models--an odd(s) kind of regression.

PubMed

Jupiter, Daniel C

2013-01-01

The logistic regression model bears some similarity to the multivariable linear regression with which we are familiar. However, the differences are great enough to warrant a discussion of the need for and interpretation of logistic regression. Copyright © 2013 American College of Foot and Ankle Surgeons. Published by Elsevier Inc. All rights reserved.

Survival Data and Regression Models

NASA Astrophysics Data System (ADS)

Grégoire, G.

2014-12-01

We start this chapter by introducing some basic elements for the analysis of censored survival data. Then we focus on right censored data and develop two types of regression models. The first one concerns the so-called accelerated failure time models (AFT), which are parametric models where a function of a parameter depends linearly on the covariables. The second one is a semiparametric model, where the covariables enter in a multiplicative form in the expression of the hazard rate function. The main statistical tool for analysing these regression models is the maximum likelihood methodology and, in spite we recall some essential results about the ML theory, we refer to the chapter "Logistic Regression" for a more detailed presentation.

ℓ(p)-Norm multikernel learning approach for stock market price forecasting.

PubMed

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ(1)-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ(p)-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ(1)-norm multiple support vector regression model.

Annual Report to the Nation on the Status of Cancer, 1975–2005, Featuring Trends in Lung Cancer, Tobacco Use, and Tobacco Control

PubMed Central

Thun, Michael J.; Ries, Lynn A. G.; Howe, Holly L.; Weir, Hannah K.; Center, Melissa M.; Ward, Elizabeth; Wu, Xiao-Cheng; Eheman, Christie; Anderson, Robert; Ajani, Umed A.; Kohler, Betsy; Edwards, Brenda K.

2008-01-01

Background The American Cancer Society, the Centers for Disease Control and Prevention (CDC), the National Cancer Institute (NCI), and the North American Association of Central Cancer Registries (NAACCR) collaborate annually to provide updated information on cancer occurrence and trends in the United States. This year’s report includes trends in lung cancer incidence and death rates, tobacco use, and tobacco control by state of residence. Methods Information on invasive cancers was obtained from the NCI, CDC, and NAACCR and information on mortality from the CDC's National Center for Health Statistics. Annual percentage changes in the age-standardized incidence and death rates (2000 US population standard) for all cancers combined and for the top 15 cancers were estimated by joinpoint analysis of long-term (1975–2005) trends and by least squares linear regression of short-term (1996–2005) trends. All statistical tests were two-sided. Results Both incidence and death rates from all cancers combined decreased statistically significantly (P < .05) in men and women overall and in most racial and ethnic populations. These decreases were driven largely by declines in both incidence and death rates for the three most common cancers in men (lung, colorectum, and prostate) and for two of the three leading cancers in women (breast and colorectum), combined with a leveling off of lung cancer death rates in women. Although the national trend in female lung cancer death rates has stabilized since 2003, after increasing for several decades, there is prominent state and regional variation. Lung cancer incidence and/or death rates among women increased in 18 states, 16 of them in the South or Midwest, where, on average, the prevalence of smoking was higher and the annual percentage decrease in current smoking among adult women was lower than in the West and Northeast. California was the only state with decreasing lung cancer incidence and death rates in women. Conclusions Although the decrease in overall cancer incidence and death rates is encouraging, large state and regional differences in lung cancer trends among women underscore the need to maintain and strengthen many state tobacco control programs. PMID:19033571

Trends in procedures for infertility and caesarean sections: was NICE disinvestment guidance implemented? NICE recommendation reminders

PubMed Central

2013-01-01

Background National Institute for Health and Clinical Excellence (NICE) clinical guidelines and subsequent NICE issued ‘recommendation reminders’ advocate discontinuing two fertility procedures and caesarean sections in women with hepatitis. We assess whether NICE guidance in 2004 and recommendation reminders were associated with a change in the rate of clinical procedures performed. Methods Routine inpatient Hospital Episode Statistics (HES) data were extracted from the HES database for 1st April 1998 to 31st March 2010 using OPCS procedure codes for varicocele operations in infertile men, endometrial biopsies in infertile women and caesarean sections in women with hepatitis B or C. We used Joinpoint regression to identify points in time when the trend in procedure rates changed markedly, to identify any influence of the release of NICE guidance. Results Between 1998-2010, planned caesarean sections in women with and without hepatitis B or C increased yearly (annual percentage change (APC) 4.9%, 95% CI 2.1% to 7.7%) in women with hepatitis, compared with women without (APC 4.0% [95% CI 2.7% to 5.3%] up to 2001, APC -0.6% [95% CI -2.8% to 1.8%] up to 2004 and 1.3% [95% CI 0.8% to 1.8%] up to 2010). In infertile women under 40 years of age, endometrial biopsies for investigation of infertility increased, APC 6.0% (95% CI 3.6% to 8.4%) up to 2003, APC 1.5% (95% CI -4.3% to 7.7%) to 2007 followed by APC 12.8% (95% CI 1.0% to 26.0%) to 2010. Varicocele procedures remained relatively static between 1998 and 2010 (APC -0.5%, 95% CI -2.3% to 1.3%). Conclusions There was no decline in use of the three studied procedures, contrary to NICE guidance, and no change in uptake associated with the timing of NICE guidance or recommendation reminders. ‘Do not do’ recommendation reminders may be ineffective at improving clinical practice or achieving disinvestment. PMID:23388377

Incidence trends and patterns of breast cancer in Sri Lanka: an analysis of the national cancer database.

PubMed

Fernando, Ashan; Jayarajah, Umesh; Prabashani, Saumyakala; Fernando, Eshani A; Seneviratne, Sanjeewa A

2018-04-27

A gradual decline in the incidence of breast cancer is documented in developed countries especially over last two decades, while in developing countries the incidence continues to rise. We conducted this study to examine trends in incidence of breast cancer in a developing country, Sri Lanka. A retrospective cohort evaluation of patients with breast cancer during 2001-2010 was performed using population based data from the Sri Lanka National Cancer Registry. Trends in incidence were analysed using Joinpoint regression analysis. The age standardized incidence of female breast cancer in Sri Lanka appears to have increased from 17.3 per 100,000 in 2001 (95% confidence interval [95% CI] 16.5-18.2) to 24.7 per 100,000 in 2010 (95% CI 23.7-25.7); a 1.4-fold increase (p < 0.05) with an estimated annual percentage change (EAPC) of 4.4 (95% CI 3.3-5.5). Highest incidence of breast cancer was seen among women of 60 to 64-year age group which has increased from 68.1 to 100.2 per 100,000 over this period (EAPC 4.6%, 95% CI 3.9-5.2, p < 0.001 for trend). A substantially greater increase was observed among women older than 50 years (from 50.4 to 76.9 per 100,000; EAPC 5.5, 95% CI 4.1-7.0, p < 0.05) compared with women younger than 50 years (from 32.0 to 39.6 per 100,000; EAPC 2.3, 95% CI 1.1-3.5, p < 0.05). A gradual but a significant increase in the incidence of female breast cancer is observed in Sri Lanka. A rapid rise in the breast cancer incidence among post-menopausal women appears to be the major contributor towards this increase. Improving cancer data collection appears to have been a contributor to the observed increase. However, an inherent increase is also likely as differential rates of increase were observed by age groups. Further research is needed to identify the reasons for the observed increase which may help with future cancer control efforts in Sri Lanka.

The rise in metastasectomy across cancer types over the past decade.

PubMed

Bartlett, Edmund K; Simmons, Kristina D; Wachtel, Heather; Roses, Robert E; Fraker, Douglas L; Kelz, Rachel R; Karakousis, Giorgos C

2015-03-01

Although studies of metastasectomy have been limited primarily to institutional experiences, reports of favorable long-term outcomes have generated increasing interest. In the current study, the authors attempted to define the national practice patterns in metastasectomy for 4 common malignancies with varying responsiveness to systemic therapy. The National (Nationwide) Inpatient Sample was used to estimate the national incidence of metastasectomy for colorectal cancer, lung cancer, breast cancer, and melanoma from 2000 through 2011. Incidence-adjusted rates were determined for liver, lung, brain, small bowel, and adrenal metastasectomies. The average annual percentage change (AAPC) in metastasectomy by cancer type was calculated using joinpoint regression. Colorectal cancer was the most common indication for metastasectomy (87,407 cases; 95% confidence interval [95% CI], 86,307-88,507 cases) followed by lung cancer (58,245 cases; 95% CI, 57,453-59,036 cases), breast cancer (26,271 cases; 95% CI, 25,672-26,870 cases), and melanoma (20,298 cases; 95% CI, 19,897-20,699 cases). Metastasectomy increased significantly for all cancer types over the study period: colorectal cancer (AAPC, 6.83; 95% CI, 5.7-7.9), lung cancer (AAPC, 5.8; 95% CI, 5.1-6.4), breast cancer (AAPC, 5.5; 95% CI, 3.7-7.3), and melanoma (AAPC, 4.03; 95% CI, 2.1-6.0). Despite an increasing number of comorbidities in patients undergoing metastasectomy (P<.05 for each cancer type), inpatient mortality rates after metastasectomy fell for all cancer types, most significantly for colorectal (AAPC, -5.49; 95% CI, -8.2 to -2.7) and lung (AAPC, -6.2; 95% CI, -11.7 to -0.3) cancers. The increasing performance of metastasectomy was largely driven by high-volume institutions, in which patients had a lower mean number of comorbidities (P<.01 for all cancer types) and lower inpatient mortality (P<.01 for all cancers except melanoma). From 2000 through 2011, the performance of metastasectomy increased substantially across common cancer types, notwithstanding various advances in systemic therapies. Metastasectomy was performed more safely, despite increasing patient comorbidity. High-volume institutions appeared to drive practice patterns. © 2014 American Cancer Society.

Trends in Sales of Flavored and Menthol Tobacco Products in the United States During 2011-2015.

PubMed

Kuiper, Nicole M; Gammon, Doris; Loomis, Brett; Falvey, Kyle; Wang, Teresa W; King, Brian A; Rogers, Todd

2018-05-03

Flavors can mask the harshness of tobacco and make it appealing to young people. This study assessed flavored and menthol tobacco product sales at the national and state levels. Universal Product Code tobacco sales data collected by Nielsen were combined for convenience stores and all-outlets-combined during October 22, 2011-January 9, 2016. Products were characterized as flavored, menthol, or non-flavored/non-menthol. Total unit sales, and the proportion of flavored and menthol unit sales, were assessed nationally and by state for seven tobacco products. Joinpoint regression was used to assess trends in average monthly percentage change. Nationally, the proportion of flavored and menthol sales in 2015 was as follows: cigarettes (32.5% menthol), large cigars (26.1% flavored), cigarillos (47.5% flavored, 0.2% menthol), little cigars (21.8% flavored, 19.4% menthol), chewing tobacco (1.4% flavored, 0.7% menthol), moist snuff (3.0% flavored, 57.0% menthol), and snus (88.5% menthol). From 2011 to 2015, sales increased for flavored cigarillos and chewing tobacco, as well as for menthol cigarettes, little cigars, moist snuff, and snus. Sales decreased for flavored large cigars, moist snuff, and snus, and for menthol chewing tobacco. State-level variations were observed by product; for example, flavored little cigar sales ranged from 4.4% (Maine) to 69.3% (Utah) and flavored cigarillo sales ranged from 26.6% (Maine) to 63.0% (Maryland). Menthol and flavored sales have increased since 2011, particularly for the products with the highest number of units sold, and significant state variation exists. Efforts to restrict flavored tobacco product sales could reduce overall U.S. tobacco consumption. Flavors in tobacco products can mask the harshness of tobacco and make these products more appealing to young people. This is the first study to assess national and state-level trends in flavored and menthol tobacco product sales. These findings underscore the importance of population-based interventions to address flavored tobacco product use at the national, state, and local levels. Additionally, further monitoring of flavored and menthol tobacco product sales can inform potential future regulatory efforts at the national, state, and local levels.

Global incidence and outcome of testicular cancer

PubMed Central

Shanmugalingam, Thurkaa; Soultati, Aspasia; Chowdhury, Simon; Rudman, Sarah; Van Hemelrijck, Mieke

2013-01-01

Background Testicular cancer is a rare tumor type accounting for 1% of malignancies in men. It is, however, the most common cancer in young men in Western populations. The incidence of testicular cancer is increasing globally, although a decline in mortality rates has been reported in Western countries. It is important to identify whether the variations in trends observed between populations are linked to genetic or environmental factors. Methods Age-standardized incidence rates and age-standardized mortality rates for testicular cancer were obtained for men of all ages in ten countries from the Americas, Asia, Europe, and Oceania using the Cancer Incidence in Five Continents (CI5plus) and World Health Organization (WHO) mortality databases. The annual percent change was calculated using Joinpoint regression to assess temporal changes between geographical regions. Results Testicular cancer age-standardized incidence rates are highest in New Zealand (7.8), UK (6.3), Australia (6.1), Sweden (5.6), USA (5.2), Poland (4.9), and Spain (3.8) per 100,000 men. India, China, and Colombia had the lowest incidence (0.5, 1.3, and 2.2, respectively) per 100,000 men. The annual percent changes for overall testicular cancer incidence significantly increased in the European countries Sweden 2.4%, (2.2; 2.6); UK 2.9%, (2.2; 3.6); and Spain 5.0%, (1.7; 8.4), Australia 3.0%, (2.2; 3.7), and China 3.5%, (1.9; 5.1). India had the lowest overall testicular cancer incidence −1.7%, (−2.5; −0.8). Annual percent changes for overall testicular cancer mortality rates were decreasing in all study populations, with the greatest decline observed in Sweden −4.2%, (−4.8; −3.6) and China −4.9%, (−6.5; −3.3). Conclusion Testicular cancer is increasing in incidence in many countries; however, mortality rates remain low and most men are cured. An understanding of the risks and long-term side effects of treatment are important in managing men with this disease. PMID:24204171

Long-term trends and survival analysis of esophageal and gastric cancer in Yangzhong, 1991-2013.

PubMed

Hua, Zhaolai; Zheng, Xianzhi; Xue, Hengchuan; Wang, Jianming; Yao, Jun

2017-01-01

To describe the long-term trends of the incidence, mortality and survival of upper digestive tract cancers in a high-risk area of China. We extracted esophageal and gastric cancer cases diagnosed from 1991 to 2013 through the Yangzhong Cancer Registry and calculated the crude and age-standardized incidence and mortality rates. Cancer trends were calculated using the Joinpoint Regression Program and were reported using the annual percentage change (APC). The cancer-specific survival rates were evaluated and compared between groups using the Kaplan-Meier method and log-rank test. The age-standardized incidence rate of esophageal cancer declined from 107.06 per 100,000 person-years (male: 118.05 per 100,000 person-years; female: 97.42 per 100,000 person-years) in 1991 to 37.04 per 100,000 person-years (male: 46.43 per 100,000 person-years; female: 27.26 per 100,000 person-years) in 2013, with an APC of -2.5% (95% confidence interval (CI): -3.4%, -1.5%) for males and -4.9% (95% CI:-5.8%, -3.9%) for females. The age-standardized incidence rate of gastric cancer was 165.11 per 100,000 person-years (male: 225.39 per 100,000 person-years; female: 113.34 per 100,000 person-years) in 1991 and 53.46 per 100,000 person-years (male: 76.51 per 100,000 person-years; female: 32.43 per 100,000 person-years) in 2013, with the APC of -3.6% (95% CI: -4.5%, -2.7%) for males and -4.8% (95% CI: -5.7%, -3.9%) for females. The median survival time was 3.0 years for patients with esophageal or gastric cancer. Cancer cases detected after 2004 had a better prognosis. The age-standardized incidence rates of both esophageal and gastric cancer continuously decreased since 1991 through 2013, whereas the mortality rate remained stable before 2004 and significantly declined following the massive endoscopic screening program initiated in 2004. The survival probability of patients with esophageal and gastric cancer has improved obviously in recent decades.

Estimating average alcohol consumption in the population using multiple sources: the case of Spain.

PubMed

Sordo, Luis; Barrio, Gregorio; Bravo, María J; Villalbí, Joan R; Espelt, Albert; Neira, Montserrat; Regidor, Enrique

2016-01-01

National estimates on per capita alcohol consumption are provided regularly by various sources and may have validity problems, so corrections are needed for monitoring and assessment purposes. Our objectives were to compare different alcohol availability estimates for Spain, to build the best estimate (actual consumption), characterize its time trend during 2001-2011, and quantify the extent to which other estimates (coverage) approximated actual consumption. Estimates were: alcohol availability from the Spanish Tax Agency (Tax Agency availability), World Health Organization (WHO availability) and other international agencies, self-reported purchases from the Spanish Food Consumption Panel, and self-reported consumption from population surveys. Analyses included calculating: between-agency discrepancy in availability, multisource availability (correcting Tax Agency availability by underestimation of wine and cider), actual consumption (adjusting multisource availability by unrecorded alcohol consumption/purchases and alcohol losses), and coverage of selected estimates. Sensitivity analyses were undertaken. Time trends were characterized by joinpoint regression. Between-agency discrepancy in alcohol availability remained high in 2011, mainly because of wine and spirits, although some decrease was observed during the study period. The actual consumption was 9.5 l of pure alcohol/person-year in 2011, decreasing 2.3 % annually, mainly due to wine and spirits. 2011 coverage of WHO availability, Tax Agency availability, self-reported purchases, and self-reported consumption was 99.5, 99.5, 66.3, and 28.0 %, respectively, generally with downward trends (last three estimates, especially self-reported consumption). The multisource availability overestimated actual consumption by 12.3 %, mainly due to tourism imbalance. Spanish estimates of per capita alcohol consumption show considerable weaknesses. Using uncorrected estimates, especially self-reported consumption, for monitoring or other purposes is misleading. To obtain conservative estimates of alcohol-attributable disease burden or heavy drinking prevalence, self-reported consumption should be shifted upwards by more than 85 % (91 % in 2011) of Tax Agency or WHO availability figures. The weaknesses identified can probably also be found worldwide, thus much empirical work remains to be done to improve estimates of per capita alcohol consumption.

Multiple-Instance Regression with Structured Data

NASA Technical Reports Server (NTRS)

Wagstaff, Kiri L.; Lane, Terran; Roper, Alex

2008-01-01

We present a multiple-instance regression algorithm that models internal bag structure to identify the items most relevant to the bag labels. Multiple-instance regression (MIR) operates on a set of bags with real-valued labels, each containing a set of unlabeled items, in which the relevance of each item to its bag label is unknown. The goal is to predict the labels of new bags from their contents. Unlike previous MIR methods, MI-ClusterRegress can operate on bags that are structured in that they contain items drawn from a number of distinct (but unknown) distributions. MI-ClusterRegress simultaneously learns a model of the bag's internal structure, the relevance of each item, and a regression model that accurately predicts labels for new bags. We evaluated this approach on the challenging MIR problem of crop yield prediction from remote sensing data. MI-ClusterRegress provided predictions that were more accurate than those obtained with non-multiple-instance approaches or MIR methods that do not model the bag structure.

Poisson regression models outperform the geometrical model in estimating the peak-to-trough ratio of seasonal variation: a simulation study.

PubMed

Christensen, A L; Lundbye-Christensen, S; Dethlefsen, C

2011-12-01

Several statistical methods of assessing seasonal variation are available. Brookhart and Rothman [3] proposed a second-order moment-based estimator based on the geometrical model derived by Edwards [1], and reported that this estimator is superior in estimating the peak-to-trough ratio of seasonal variation compared with Edwards' estimator with respect to bias and mean squared error. Alternatively, seasonal variation may be modelled using a Poisson regression model, which provides flexibility in modelling the pattern of seasonal variation and adjustments for covariates. Based on a Monte Carlo simulation study three estimators, one based on the geometrical model, and two based on log-linear Poisson regression models, were evaluated in regards to bias and standard deviation (SD). We evaluated the estimators on data simulated according to schemes varying in seasonal variation and presence of a secular trend. All methods and analyses in this paper are available in the R package Peak2Trough[13]. Applying a Poisson regression model resulted in lower absolute bias and SD for data simulated according to the corresponding model assumptions. Poisson regression models had lower bias and SD for data simulated to deviate from the corresponding model assumptions than the geometrical model. This simulation study encourages the use of Poisson regression models in estimating the peak-to-trough ratio of seasonal variation as opposed to the geometrical model. Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events.

PubMed

Kempe, P T; van Oppen, P; de Haan, E; Twisk, J W R; Sluis, A; Smit, J H; van Dyck, R; van Balkom, A J L M

2007-09-01

Two methods for predicting remissions in obsessive-compulsive disorder (OCD) treatment are evaluated. Y-BOCS measurements of 88 patients with a primary OCD (DSM-III-R) diagnosis were performed over a 16-week treatment period, and during three follow-ups. Remission at any measurement was defined as a Y-BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short- and long-term predictors for OCD remission show overlap.

Floating Data and the Problem with Illustrating Multiple Regression.

ERIC Educational Resources Information Center

Sachau, Daniel A.

2000-01-01

Discusses how to introduce basic concepts of multiple regression by creating a large-scale, three-dimensional regression model using the classroom walls and floor. Addresses teaching points that should be covered and reveals student reaction to the model. Finds that the greatest benefit of the model is the low fear, walk-through, nonmathematical…

Regression Model Optimization for the Analysis of Experimental Data

NASA Technical Reports Server (NTRS)

Ulbrich, N.

2009-01-01

A candidate math model search algorithm was developed at Ames Research Center that determines a recommended math model for the multivariate regression analysis of experimental data. The search algorithm is applicable to classical regression analysis problems as well as wind tunnel strain gage balance calibration analysis applications. The algorithm compares the predictive capability of different regression models using the standard deviation of the PRESS residuals of the responses as a search metric. This search metric is minimized during the search. Singular value decomposition is used during the search to reject math models that lead to a singular solution of the regression analysis problem. Two threshold dependent constraints are also applied. The first constraint rejects math models with insignificant terms. The second constraint rejects math models with near-linear dependencies between terms. The math term hierarchy rule may also be applied as an optional constraint during or after the candidate math model search. The final term selection of the recommended math model depends on the regressor and response values of the data set, the user s function class combination choice, the user s constraint selections, and the result of the search metric minimization. A frequently used regression analysis example from the literature is used to illustrate the application of the search algorithm to experimental data.

Adjusting for overdispersion in piecewise exponential regression models to estimate excess mortality rate in population-based research.

PubMed

Luque-Fernandez, Miguel Angel; Belot, Aurélien; Quaresma, Manuela; Maringe, Camille; Coleman, Michel P; Rachet, Bernard

2016-10-01

In population-based cancer research, piecewise exponential regression models are used to derive adjusted estimates of excess mortality due to cancer using the Poisson generalized linear modelling framework. However, the assumption that the conditional mean and variance of the rate parameter given the set of covariates x i are equal is strong and may fail to account for overdispersion given the variability of the rate parameter (the variance exceeds the mean). Using an empirical example, we aimed to describe simple methods to test and correct for overdispersion. We used a regression-based score test for overdispersion under the relative survival framework and proposed different approaches to correct for overdispersion including a quasi-likelihood, robust standard errors estimation, negative binomial regression and flexible piecewise modelling. All piecewise exponential regression models showed the presence of significant inherent overdispersion (p-value <0.001). However, the flexible piecewise exponential model showed the smallest overdispersion parameter (3.2 versus 21.3) for non-flexible piecewise exponential models. We showed that there were no major differences between methods. However, using a flexible piecewise regression modelling, with either a quasi-likelihood or robust standard errors, was the best approach as it deals with both, overdispersion due to model misspecification and true or inherent overdispersion.

Bias in logistic regression due to imperfect diagnostic test results and practical correction approaches.

PubMed

Valle, Denis; Lima, Joanna M Tucker; Millar, Justin; Amratia, Punam; Haque, Ubydul

2015-11-04

Logistic regression is a statistical model widely used in cross-sectional and cohort studies to identify and quantify the effects of potential disease risk factors. However, the impact of imperfect tests on adjusted odds ratios (and thus on the identification of risk factors) is under-appreciated. The purpose of this article is to draw attention to the problem associated with modelling imperfect diagnostic tests, and propose simple Bayesian models to adequately address this issue. A systematic literature review was conducted to determine the proportion of malaria studies that appropriately accounted for false-negatives/false-positives in a logistic regression setting. Inference from the standard logistic regression was also compared with that from three proposed Bayesian models using simulations and malaria data from the western Brazilian Amazon. A systematic literature review suggests that malaria epidemiologists are largely unaware of the problem of using logistic regression to model imperfect diagnostic test results. Simulation results reveal that statistical inference can be substantially improved when using the proposed Bayesian models versus the standard logistic regression. Finally, analysis of original malaria data with one of the proposed Bayesian models reveals that microscopy sensitivity is strongly influenced by how long people have lived in the study region, and an important risk factor (i.e., participation in forest extractivism) is identified that would have been missed by standard logistic regression. Given the numerous diagnostic methods employed by malaria researchers and the ubiquitous use of logistic regression to model the results of these diagnostic tests, this paper provides critical guidelines to improve data analysis practice in the presence of misclassification error. Easy-to-use code that can be readily adapted to WinBUGS is provided, enabling straightforward implementation of the proposed Bayesian models.

An Expert System for the Evaluation of Cost Models

DTIC Science & Technology

1990-09-01

contrast to the condition of equal error variance, called homoscedasticity. (Reference: Applied Linear Regression Models by John Neter - page 423...normal. (Reference: Applied Linear Regression Models by John Neter - page 125) Click Here to continue -> Autocorrelation Click Here for the index - Index...over time. Error terms correlated over time are said to be autocorrelated or serially correlated. (REFERENCE: Applied Linear Regression Models by John

Digital Image Restoration Under a Regression Model - The Unconstrained, Linear Equality and Inequality Constrained Approaches

DTIC Science & Technology

1974-01-01

REGRESSION MODEL - THE UNCONSTRAINED, LINEAR EQUALITY AND INEQUALITY CONSTRAINED APPROACHES January 1974 Nelson Delfino d’Avila Mascarenha;? Image...Report 520 DIGITAL IMAGE RESTORATION UNDER A REGRESSION MODEL THE UNCONSTRAINED, LINEAR EQUALITY AND INEQUALITY CONSTRAINED APPROACHES January...a two- dimensional form adequately describes the linear model . A dis- cretization is performed by using quadrature methods. By trans

Variable selection and model choice in geoadditive regression models.

PubMed

Kneib, Thomas; Hothorn, Torsten; Tutz, Gerhard

2009-06-01

Model choice and variable selection are issues of major concern in practical regression analyses, arising in many biometric applications such as habitat suitability analyses, where the aim is to identify the influence of potentially many environmental conditions on certain species. We describe regression models for breeding bird communities that facilitate both model choice and variable selection, by a boosting algorithm that works within a class of geoadditive regression models comprising spatial effects, nonparametric effects of continuous covariates, interaction surfaces, and varying coefficients. The major modeling components are penalized splines and their bivariate tensor product extensions. All smooth model terms are represented as the sum of a parametric component and a smooth component with one degree of freedom to obtain a fair comparison between the model terms. A generic representation of the geoadditive model allows us to devise a general boosting algorithm that automatically performs model choice and variable selection.

Bayesian isotonic density regression

PubMed Central

Wang, Lianming; Dunson, David B.

2011-01-01

Density regression models allow the conditional distribution of the response given predictors to change flexibly over the predictor space. Such models are much more flexible than nonparametric mean regression models with nonparametric residual distributions, and are well supported in many applications. A rich variety of Bayesian methods have been proposed for density regression, but it is not clear whether such priors have full support so that any true data-generating model can be accurately approximated. This article develops a new class of density regression models that incorporate stochastic-ordering constraints which are natural when a response tends to increase or decrease monotonely with a predictor. Theory is developed showing large support. Methods are developed for hypothesis testing, with posterior computation relying on a simple Gibbs sampler. Frequentist properties are illustrated in a simulation study, and an epidemiology application is considered. PMID:22822259

Linear regression crash prediction models : issues and proposed solutions.

DOT National Transportation Integrated Search

2010-05-01

The paper develops a linear regression model approach that can be applied to : crash data to predict vehicle crashes. The proposed approach involves novice data aggregation : to satisfy linear regression assumptions; namely error structure normality ...

Should metacognition be measured by logistic regression?

PubMed

Rausch, Manuel; Zehetleitner, Michael

2017-03-01

Are logistic regression slopes suitable to quantify metacognitive sensitivity, i.e. the efficiency with which subjective reports differentiate between correct and incorrect task responses? We analytically show that logistic regression slopes are independent from rating criteria in one specific model of metacognition, which assumes (i) that rating decisions are based on sensory evidence generated independently of the sensory evidence used for primary task responses and (ii) that the distributions of evidence are logistic. Given a hierarchical model of metacognition, logistic regression slopes depend on rating criteria. According to all considered models, regression slopes depend on the primary task criterion. A reanalysis of previous data revealed that massive numbers of trials are required to distinguish between hierarchical and independent models with tolerable accuracy. It is argued that researchers who wish to use logistic regression as measure of metacognitive sensitivity need to control the primary task criterion and rating criteria. Copyright © 2017 Elsevier Inc. All rights reserved.

Modelling of capital asset pricing by considering the lagged effects

NASA Astrophysics Data System (ADS)

Sukono; Hidayat, Y.; Bon, A. Talib bin; Supian, S.

2017-01-01

In this paper the problem of modelling the Capital Asset Pricing Model (CAPM) with the effect of the lagged is discussed. It is assumed that asset returns are analysed influenced by the market return and the return of risk-free assets. To analyse the relationship between asset returns, the market return, and the return of risk-free assets, it is conducted by using a regression equation of CAPM, and regression equation of lagged distributed CAPM. Associated with the regression equation lagged CAPM distributed, this paper also developed a regression equation of Koyck transformation CAPM. Results of development show that the regression equation of Koyck transformation CAPM has advantages, namely simple as it only requires three parameters, compared with regression equation of lagged distributed CAPM.

[Comparison of predictive effect between the single auto regressive integrated moving average (ARIMA) model and the ARIMA-generalized regression neural network (GRNN) combination model on the incidence of scarlet fever].

PubMed

Zhu, Yu; Xia, Jie-lai; Wang, Jing

2009-09-01

Application of the 'single auto regressive integrated moving average (ARIMA) model' and the 'ARIMA-generalized regression neural network (GRNN) combination model' in the research of the incidence of scarlet fever. Establish the auto regressive integrated moving average model based on the data of the monthly incidence on scarlet fever of one city, from 2000 to 2006. The fitting values of the ARIMA model was used as input of the GRNN, and the actual values were used as output of the GRNN. After training the GRNN, the effect of the single ARIMA model and the ARIMA-GRNN combination model was then compared. The mean error rate (MER) of the single ARIMA model and the ARIMA-GRNN combination model were 31.6%, 28.7% respectively and the determination coefficient (R(2)) of the two models were 0.801, 0.872 respectively. The fitting efficacy of the ARIMA-GRNN combination model was better than the single ARIMA, which had practical value in the research on time series data such as the incidence of scarlet fever.

Mixed conditional logistic regression for habitat selection studies.

PubMed

Duchesne, Thierry; Fortin, Daniel; Courbin, Nicolas

2010-05-01

1. Resource selection functions (RSFs) are becoming a dominant tool in habitat selection studies. RSF coefficients can be estimated with unconditional (standard) and conditional logistic regressions. While the advantage of mixed-effects models is recognized for standard logistic regression, mixed conditional logistic regression remains largely overlooked in ecological studies. 2. We demonstrate the significance of mixed conditional logistic regression for habitat selection studies. First, we use spatially explicit models to illustrate how mixed-effects RSFs can be useful in the presence of inter-individual heterogeneity in selection and when the assumption of independence from irrelevant alternatives (IIA) is violated. The IIA hypothesis states that the strength of preference for habitat type A over habitat type B does not depend on the other habitat types also available. Secondly, we demonstrate the significance of mixed-effects models to evaluate habitat selection of free-ranging bison Bison bison. 3. When movement rules were homogeneous among individuals and the IIA assumption was respected, fixed-effects RSFs adequately described habitat selection by simulated animals. In situations violating the inter-individual homogeneity and IIA assumptions, however, RSFs were best estimated with mixed-effects regressions, and fixed-effects models could even provide faulty conclusions. 4. Mixed-effects models indicate that bison did not select farmlands, but exhibited strong inter-individual variations in their response to farmlands. Less than half of the bison preferred farmlands over forests. Conversely, the fixed-effect model simply suggested an overall selection for farmlands. 5. Conditional logistic regression is recognized as a powerful approach to evaluate habitat selection when resource availability changes. This regression is increasingly used in ecological studies, but almost exclusively in the context of fixed-effects models. Fitness maximization can imply differences in trade-offs among individuals, which can yield inter-individual differences in selection and lead to departure from IIA. These situations are best modelled with mixed-effects models. Mixed-effects conditional logistic regression should become a valuable tool for ecological research.

ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches.

PubMed

Sharma, Ashok K; Srivastava, Gopal N; Roy, Ankita; Sharma, Vineet K

2017-01-01

The experimental methods for the prediction of molecular toxicity are tedious and time-consuming tasks. Thus, the computational approaches could be used to develop alternative methods for toxicity prediction. We have developed a tool for the prediction of molecular toxicity along with the aqueous solubility and permeability of any molecule/metabolite. Using a comprehensive and curated set of toxin molecules as a training set, the different chemical and structural based features such as descriptors and fingerprints were exploited for feature selection, optimization and development of machine learning based classification and regression models. The compositional differences in the distribution of atoms were apparent between toxins and non-toxins, and hence, the molecular features were used for the classification and regression. On 10-fold cross-validation, the descriptor-based, fingerprint-based and hybrid-based classification models showed similar accuracy (93%) and Matthews's correlation coefficient (0.84). The performances of all the three models were comparable (Matthews's correlation coefficient = 0.84-0.87) on the blind dataset. In addition, the regression-based models using descriptors as input features were also compared and evaluated on the blind dataset. Random forest based regression model for the prediction of solubility performed better ( R 2 = 0.84) than the multi-linear regression (MLR) and partial least square regression (PLSR) models, whereas, the partial least squares based regression model for the prediction of permeability (caco-2) performed better ( R 2 = 0.68) in comparison to the random forest and MLR based regression models. The performance of final classification and regression models was evaluated using the two validation datasets including the known toxins and commonly used constituents of health products, which attests to its accuracy. The ToxiM web server would be a highly useful and reliable tool for the prediction of toxicity, solubility, and permeability of small molecules.

ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches

PubMed Central

Sharma, Ashok K.; Srivastava, Gopal N.; Roy, Ankita; Sharma, Vineet K.

2017-01-01

The experimental methods for the prediction of molecular toxicity are tedious and time-consuming tasks. Thus, the computational approaches could be used to develop alternative methods for toxicity prediction. We have developed a tool for the prediction of molecular toxicity along with the aqueous solubility and permeability of any molecule/metabolite. Using a comprehensive and curated set of toxin molecules as a training set, the different chemical and structural based features such as descriptors and fingerprints were exploited for feature selection, optimization and development of machine learning based classification and regression models. The compositional differences in the distribution of atoms were apparent between toxins and non-toxins, and hence, the molecular features were used for the classification and regression. On 10-fold cross-validation, the descriptor-based, fingerprint-based and hybrid-based classification models showed similar accuracy (93%) and Matthews's correlation coefficient (0.84). The performances of all the three models were comparable (Matthews's correlation coefficient = 0.84–0.87) on the blind dataset. In addition, the regression-based models using descriptors as input features were also compared and evaluated on the blind dataset. Random forest based regression model for the prediction of solubility performed better (R2 = 0.84) than the multi-linear regression (MLR) and partial least square regression (PLSR) models, whereas, the partial least squares based regression model for the prediction of permeability (caco-2) performed better (R2 = 0.68) in comparison to the random forest and MLR based regression models. The performance of final classification and regression models was evaluated using the two validation datasets including the known toxins and commonly used constituents of health products, which attests to its accuracy. The ToxiM web server would be a highly useful and reliable tool for the prediction of toxicity, solubility, and permeability of small molecules. PMID:29249969

Comparison of Regression Analysis and Transfer Function in Estimating the Parameters of Central Pulse Waves from Brachial Pulse Wave.

PubMed

Chai, Rui; Xu, Li-Sheng; Yao, Yang; Hao, Li-Ling; Qi, Lin

2017-01-01

This study analyzed ascending branch slope (A_slope), dicrotic notch height (Hn), diastolic area (Ad) and systolic area (As) diastolic blood pressure (DBP), systolic blood pressure (SBP), pulse pressure (PP), subendocardial viability ratio (SEVR), waveform parameter (k), stroke volume (SV), cardiac output (CO), and peripheral resistance (RS) of central pulse wave invasively and non-invasively measured. Invasively measured parameters were compared with parameters measured from brachial pulse waves by regression model and transfer function model. Accuracy of parameters estimated by regression and transfer function model, was compared too. Findings showed that k value, central pulse wave and brachial pulse wave parameters invasively measured, correlated positively. Regression model parameters including A_slope, DBP, SEVR, and transfer function model parameters had good consistency with parameters invasively measured. They had same effect of consistency. SBP, PP, SV, and CO could be calculated through the regression model, but their accuracies were worse than that of transfer function model.

ℓ p-Norm Multikernel Learning Approach for Stock Market Price Forecasting

PubMed Central

Shao, Xigao; Wu, Kun; Liao, Bifeng

2012-01-01

Linear multiple kernel learning model has been used for predicting financial time series. However, ℓ 1-norm multiple support vector regression is rarely observed to outperform trivial baselines in practical applications. To allow for robust kernel mixtures that generalize well, we adopt ℓ p-norm multiple kernel support vector regression (1 ≤ p < ∞) as a stock price prediction model. The optimization problem is decomposed into smaller subproblems, and the interleaved optimization strategy is employed to solve the regression model. The model is evaluated on forecasting the daily stock closing prices of Shanghai Stock Index in China. Experimental results show that our proposed model performs better than ℓ 1-norm multiple support vector regression model. PMID:23365561

Analyzing hospitalization data: potential limitations of Poisson regression.

PubMed

Weaver, Colin G; Ravani, Pietro; Oliver, Matthew J; Austin, Peter C; Quinn, Robert R

2015-08-01

Poisson regression is commonly used to analyze hospitalization data when outcomes are expressed as counts (e.g. number of days in hospital). However, data often violate the assumptions on which Poisson regression is based. More appropriate extensions of this model, while available, are rarely used. We compared hospitalization data between 206 patients treated with hemodialysis (HD) and 107 treated with peritoneal dialysis (PD) using Poisson regression and compared results from standard Poisson regression with those obtained using three other approaches for modeling count data: negative binomial (NB) regression, zero-inflated Poisson (ZIP) regression and zero-inflated negative binomial (ZINB) regression. We examined the appropriateness of each model and compared the results obtained with each approach. During a mean 1.9 years of follow-up, 183 of 313 patients (58%) were never hospitalized (indicating an excess of 'zeros'). The data also displayed overdispersion (variance greater than mean), violating another assumption of the Poisson model. Using four criteria, we determined that the NB and ZINB models performed best. According to these two models, patients treated with HD experienced similar hospitalization rates as those receiving PD {NB rate ratio (RR): 1.04 [bootstrapped 95% confidence interval (CI): 0.49-2.20]; ZINB summary RR: 1.21 (bootstrapped 95% CI 0.60-2.46)}. Poisson and ZIP models fit the data poorly and had much larger point estimates than the NB and ZINB models [Poisson RR: 1.93 (bootstrapped 95% CI 0.88-4.23); ZIP summary RR: 1.84 (bootstrapped 95% CI 0.88-3.84)]. We found substantially different results when modeling hospitalization data, depending on the approach used. Our results argue strongly for a sound model selection process and improved reporting around statistical methods used for modeling count data. © The Author 2015. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.

Predicting School Enrollments Using the Modified Regression Technique.

ERIC Educational Resources Information Center

Grip, Richard S.; Young, John W.

This report is based on a study in which a regression model was constructed to increase accuracy in enrollment predictions. A model, known as the Modified Regression Technique (MRT), was used to examine K-12 enrollment over the past 20 years in 2 New Jersey school districts of similar size and ethnicity. To test the model's accuracy, MRT was…

Analysis of Multivariate Experimental Data Using A Simplified Regression Model Search Algorithm

NASA Technical Reports Server (NTRS)

Ulbrich, Norbert M.

2013-01-01

A new regression model search algorithm was developed that may be applied to both general multivariate experimental data sets and wind tunnel strain-gage balance calibration data. The algorithm is a simplified version of a more complex algorithm that was originally developed for the NASA Ames Balance Calibration Laboratory. The new algorithm performs regression model term reduction to prevent overfitting of data. It has the advantage that it needs only about one tenth of the original algorithm's CPU time for the completion of a regression model search. In addition, extensive testing showed that the prediction accuracy of math models obtained from the simplified algorithm is similar to the prediction accuracy of math models obtained from the original algorithm. The simplified algorithm, however, cannot guarantee that search constraints related to a set of statistical quality requirements are always satisfied in the optimized regression model. Therefore, the simplified algorithm is not intended to replace the original algorithm. Instead, it may be used to generate an alternate optimized regression model of experimental data whenever the application of the original search algorithm fails or requires too much CPU time. Data from a machine calibration of NASA's MK40 force balance is used to illustrate the application of the new search algorithm.

Regression analysis and transfer function in estimating the parameters of central pulse waves from brachial pulse wave.

PubMed

Chai Rui; Li Si-Man; Xu Li-Sheng; Yao Yang; Hao Li-Ling

2017-07-01

This study mainly analyzed the parameters such as ascending branch slope (A_slope), dicrotic notch height (Hn), diastolic area (Ad) and systolic area (As) diastolic blood pressure (DBP), systolic blood pressure (SBP), pulse pressure (PP), subendocardial viability ratio (SEVR), waveform parameter (k), stroke volume (SV), cardiac output (CO) and peripheral resistance (RS) of central pulse wave invasively and non-invasively measured. These parameters extracted from the central pulse wave invasively measured were compared with the parameters measured from the brachial pulse waves by a regression model and a transfer function model. The accuracy of the parameters which were estimated by the regression model and the transfer function model was compared too. Our findings showed that in addition to the k value, the above parameters of the central pulse wave and the brachial pulse wave invasively measured had positive correlation. Both the regression model parameters including A_slope, DBP, SEVR and the transfer function model parameters had good consistency with the parameters invasively measured, and they had the same effect of consistency. The regression equations of the three parameters were expressed by Y'=a+bx. The SBP, PP, SV, CO of central pulse wave could be calculated through the regression model, but their accuracies were worse than that of transfer function model.

A comparison of methods for the analysis of binomial clustered outcomes in behavioral research.

PubMed

Ferrari, Alberto; Comelli, Mario

2016-12-01

In behavioral research, data consisting of a per-subject proportion of "successes" and "failures" over a finite number of trials often arise. This clustered binary data are usually non-normally distributed, which can distort inference if the usual general linear model is applied and sample size is small. A number of more advanced methods is available, but they are often technically challenging and a comparative assessment of their performances in behavioral setups has not been performed. We studied the performances of some methods applicable to the analysis of proportions; namely linear regression, Poisson regression, beta-binomial regression and Generalized Linear Mixed Models (GLMMs). We report on a simulation study evaluating power and Type I error rate of these models in hypothetical scenarios met by behavioral researchers; plus, we describe results from the application of these methods on data from real experiments. Our results show that, while GLMMs are powerful instruments for the analysis of clustered binary outcomes, beta-binomial regression can outperform them in a range of scenarios. Linear regression gave results consistent with the nominal level of significance, but was overall less powerful. Poisson regression, instead, mostly led to anticonservative inference. GLMMs and beta-binomial regression are generally more powerful than linear regression; yet linear regression is robust to model misspecification in some conditions, whereas Poisson regression suffers heavily from violations of the assumptions when used to model proportion data. We conclude providing directions to behavioral scientists dealing with clustered binary data and small sample sizes. Copyright © 2016 Elsevier B.V. All rights reserved.

Predicting Air Permeability of Handloom Fabrics: A Comparative Analysis of Regression and Artificial Neural Network Models

NASA Astrophysics Data System (ADS)

Mitra, Ashis; Majumdar, Prabal Kumar; Bannerjee, Debamalya

2013-03-01

This paper presents a comparative analysis of two modeling methodologies for the prediction of air permeability of plain woven handloom cotton fabrics. Four basic fabric constructional parameters namely ends per inch, picks per inch, warp count and weft count have been used as inputs for artificial neural network (ANN) and regression models. Out of the four regression models tried, interaction model showed very good prediction performance with a meager mean absolute error of 2.017 %. However, ANN models demonstrated superiority over the regression models both in terms of correlation coefficient and mean absolute error. The ANN model with 10 nodes in the single hidden layer showed very good correlation coefficient of 0.982 and 0.929 and mean absolute error of only 0.923 and 2.043 % for training and testing data respectively.

Quantifying the statistical importance of utilizing regression over classic energy intensity calculations for tracking efficiency improvements in industry

DOE Office of Scientific and Technical Information (OSTI.GOV)

Nimbalkar, Sachin U.; Wenning, Thomas J.; Guo, Wei

In the United States, manufacturing facilities account for about 32% of total domestic energy consumption in 2014. Robust energy tracking methodologies are critical to understanding energy performance in manufacturing facilities. Due to its simplicity and intuitiveness, the classic energy intensity method (i.e. the ratio of total energy use over total production) is the most widely adopted. However, the classic energy intensity method does not take into account the variation of other relevant parameters (i.e. product type, feed stock type, weather, etc.). Furthermore, the energy intensity method assumes that the facilities’ base energy consumption (energy use at zero production) is zero,more » which rarely holds true. Therefore, it is commonly recommended to utilize regression models rather than the energy intensity approach for tracking improvements at the facility level. Unfortunately, many energy managers have difficulties understanding why regression models are statistically better than utilizing the classic energy intensity method. While anecdotes and qualitative information may convince some, many have major reservations about the accuracy of regression models and whether it is worth the time and effort to gather data and build quality regression models. This paper will explain why regression models are theoretically and quantitatively more accurate for tracking energy performance improvements. Based on the analysis of data from 114 manufacturing plants over 12 years, this paper will present quantitative results on the importance of utilizing regression models over the energy intensity methodology. This paper will also document scenarios where regression models do not have significant relevance over the energy intensity method.« less

A menu-driven software package of Bayesian nonparametric (and parametric) mixed models for regression analysis and density estimation.

PubMed

Karabatsos, George

2017-02-01

Most of applied statistics involves regression analysis of data. In practice, it is important to specify a regression model that has minimal assumptions which are not violated by data, to ensure that statistical inferences from the model are informative and not misleading. This paper presents a stand-alone and menu-driven software package, Bayesian Regression: Nonparametric and Parametric Models, constructed from MATLAB Compiler. Currently, this package gives the user a choice from 83 Bayesian models for data analysis. They include 47 Bayesian nonparametric (BNP) infinite-mixture regression models; 5 BNP infinite-mixture models for density estimation; and 31 normal random effects models (HLMs), including normal linear models. Each of the 78 regression models handles either a continuous, binary, or ordinal dependent variable, and can handle multi-level (grouped) data. All 83 Bayesian models can handle the analysis of weighted observations (e.g., for meta-analysis), and the analysis of left-censored, right-censored, and/or interval-censored data. Each BNP infinite-mixture model has a mixture distribution assigned one of various BNP prior distributions, including priors defined by either the Dirichlet process, Pitman-Yor process (including the normalized stable process), beta (two-parameter) process, normalized inverse-Gaussian process, geometric weights prior, dependent Dirichlet process, or the dependent infinite-probits prior. The software user can mouse-click to select a Bayesian model and perform data analysis via Markov chain Monte Carlo (MCMC) sampling. After the sampling completes, the software automatically opens text output that reports MCMC-based estimates of the model's posterior distribution and model predictive fit to the data. Additional text and/or graphical output can be generated by mouse-clicking other menu options. This includes output of MCMC convergence analyses, and estimates of the model's posterior predictive distribution, for selected functionals and values of covariates. The software is illustrated through the BNP regression analysis of real data.

Estimation of Standard Error of Regression Effects in Latent Regression Models Using Binder's Linearization. Research Report. ETS RR-07-09

ERIC Educational Resources Information Center

Li, Deping; Oranje, Andreas

2007-01-01

Two versions of a general method for approximating standard error of regression effect estimates within an IRT-based latent regression model are compared. The general method is based on Binder's (1983) approach, accounting for complex samples and finite populations by Taylor series linearization. In contrast, the current National Assessment of…

Linear regression in astronomy. II

NASA Technical Reports Server (NTRS)

Feigelson, Eric D.; Babu, Gutti J.

1992-01-01

A wide variety of least-squares linear regression procedures used in observational astronomy, particularly investigations of the cosmic distance scale, are presented and discussed. The classes of linear models considered are (1) unweighted regression lines, with bootstrap and jackknife resampling; (2) regression solutions when measurement error, in one or both variables, dominates the scatter; (3) methods to apply a calibration line to new data; (4) truncated regression models, which apply to flux-limited data sets; and (5) censored regression models, which apply when nondetections are present. For the calibration problem we develop two new procedures: a formula for the intercept offset between two parallel data sets, which propagates slope errors from one regression to the other; and a generalization of the Working-Hotelling confidence bands to nonstandard least-squares lines. They can provide improved error analysis for Faber-Jackson, Tully-Fisher, and similar cosmic distance scale relations.

Retargeted Least Squares Regression Algorithm.

PubMed

Zhang, Xu-Yao; Wang, Lingfeng; Xiang, Shiming; Liu, Cheng-Lin

2015-09-01

This brief presents a framework of retargeted least squares regression (ReLSR) for multicategory classification. The core idea is to directly learn the regression targets from data other than using the traditional zero-one matrix as regression targets. The learned target matrix can guarantee a large margin constraint for the requirement of correct classification for each data point. Compared with the traditional least squares regression (LSR) and a recently proposed discriminative LSR models, ReLSR is much more accurate in measuring the classification error of the regression model. Furthermore, ReLSR is a single and compact model, hence there is no need to train two-class (binary) machines that are independent of each other. The convex optimization problem of ReLSR is solved elegantly and efficiently with an alternating procedure including regression and retargeting as substeps. The experimental evaluation over a range of databases identifies the validity of our method.

SEMIPARAMETRIC QUANTILE REGRESSION WITH HIGH-DIMENSIONAL COVARIATES

PubMed Central

Zhu, Liping; Huang, Mian; Li, Runze

2012-01-01

This paper is concerned with quantile regression for a semiparametric regression model, in which both the conditional mean and conditional variance function of the response given the covariates admit a single-index structure. This semiparametric regression model enables us to reduce the dimension of the covariates and simultaneously retains the flexibility of nonparametric regression. Under mild conditions, we show that the simple linear quantile regression offers a consistent estimate of the index parameter vector. This is a surprising and interesting result because the single-index model is possibly misspecified under the linear quantile regression. With a root-n consistent estimate of the index vector, one may employ a local polynomial regression technique to estimate the conditional quantile function. This procedure is computationally efficient, which is very appealing in high-dimensional data analysis. We show that the resulting estimator of the quantile function performs asymptotically as efficiently as if the true value of the index vector were known. The methodologies are demonstrated through comprehensive simulation studies and an application to a real dataset. PMID:24501536

Computation of nonlinear least squares estimator and maximum likelihood using principles in matrix calculus

NASA Astrophysics Data System (ADS)

Mahaboob, B.; Venkateswarlu, B.; Sankar, J. Ravi; Balasiddamuni, P.

2017-11-01

This paper uses matrix calculus techniques to obtain Nonlinear Least Squares Estimator (NLSE), Maximum Likelihood Estimator (MLE) and Linear Pseudo model for nonlinear regression model. David Pollard and Peter Radchenko [1] explained analytic techniques to compute the NLSE. However the present research paper introduces an innovative method to compute the NLSE using principles in multivariate calculus. This study is concerned with very new optimization techniques used to compute MLE and NLSE. Anh [2] derived NLSE and MLE of a heteroscedatistic regression model. Lemcoff [3] discussed a procedure to get linear pseudo model for nonlinear regression model. In this research article a new technique is developed to get the linear pseudo model for nonlinear regression model using multivariate calculus. The linear pseudo model of Edmond Malinvaud [4] has been explained in a very different way in this paper. David Pollard et.al used empirical process techniques to study the asymptotic of the LSE (Least-squares estimation) for the fitting of nonlinear regression function in 2006. In Jae Myung [13] provided a go conceptual for Maximum likelihood estimation in his work “Tutorial on maximum likelihood estimation

Predicting 30-day Hospital Readmission with Publicly Available Administrative Database. A Conditional Logistic Regression Modeling Approach.

PubMed

Zhu, K; Lou, Z; Zhou, J; Ballester, N; Kong, N; Parikh, P

2015-01-01

This article is part of the Focus Theme of Methods of Information in Medicine on "Big Data and Analytics in Healthcare". Hospital readmissions raise healthcare costs and cause significant distress to providers and patients. It is, therefore, of great interest to healthcare organizations to predict what patients are at risk to be readmitted to their hospitals. However, current logistic regression based risk prediction models have limited prediction power when applied to hospital administrative data. Meanwhile, although decision trees and random forests have been applied, they tend to be too complex to understand among the hospital practitioners. Explore the use of conditional logistic regression to increase the prediction accuracy. We analyzed an HCUP statewide inpatient discharge record dataset, which includes patient demographics, clinical and care utilization data from California. We extracted records of heart failure Medicare beneficiaries who had inpatient experience during an 11-month period. We corrected the data imbalance issue with under-sampling. In our study, we first applied standard logistic regression and decision tree to obtain influential variables and derive practically meaning decision rules. We then stratified the original data set accordingly and applied logistic regression on each data stratum. We further explored the effect of interacting variables in the logistic regression modeling. We conducted cross validation to assess the overall prediction performance of conditional logistic regression (CLR) and compared it with standard classification models. The developed CLR models outperformed several standard classification models (e.g., straightforward logistic regression, stepwise logistic regression, random forest, support vector machine). For example, the best CLR model improved the classification accuracy by nearly 20% over the straightforward logistic regression model. Furthermore, the developed CLR models tend to achieve better sensitivity of more than 10% over the standard classification models, which can be translated to correct labeling of additional 400 - 500 readmissions for heart failure patients in the state of California over a year. Lastly, several key predictor identified from the HCUP data include the disposition location from discharge, the number of chronic conditions, and the number of acute procedures. It would be beneficial to apply simple decision rules obtained from the decision tree in an ad-hoc manner to guide the cohort stratification. It could be potentially beneficial to explore the effect of pairwise interactions between influential predictors when building the logistic regression models for different data strata. Judicious use of the ad-hoc CLR models developed offers insights into future development of prediction models for hospital readmissions, which can lead to better intuition in identifying high-risk patients and developing effective post-discharge care strategies. Lastly, this paper is expected to raise the awareness of collecting data on additional markers and developing necessary database infrastructure for larger-scale exploratory studies on readmission risk prediction.

Prediction models for clustered data: comparison of a random intercept and standard regression model

PubMed Central

2013-01-01

Background When study data are clustered, standard regression analysis is considered inappropriate and analytical techniques for clustered data need to be used. For prediction research in which the interest of predictor effects is on the patient level, random effect regression models are probably preferred over standard regression analysis. It is well known that the random effect parameter estimates and the standard logistic regression parameter estimates are different. Here, we compared random effect and standard logistic regression models for their ability to provide accurate predictions. Methods Using an empirical study on 1642 surgical patients at risk of postoperative nausea and vomiting, who were treated by one of 19 anesthesiologists (clusters), we developed prognostic models either with standard or random intercept logistic regression. External validity of these models was assessed in new patients from other anesthesiologists. We supported our results with simulation studies using intra-class correlation coefficients (ICC) of 5%, 15%, or 30%. Standard performance measures and measures adapted for the clustered data structure were estimated. Results The model developed with random effect analysis showed better discrimination than the standard approach, if the cluster effects were used for risk prediction (standard c-index of 0.69 versus 0.66). In the external validation set, both models showed similar discrimination (standard c-index 0.68 versus 0.67). The simulation study confirmed these results. For datasets with a high ICC (≥15%), model calibration was only adequate in external subjects, if the used performance measure assumed the same data structure as the model development method: standard calibration measures showed good calibration for the standard developed model, calibration measures adapting the clustered data structure showed good calibration for the prediction model with random intercept. Conclusion The models with random intercept discriminate better than the standard model only if the cluster effect is used for predictions. The prediction model with random intercept had good calibration within clusters. PMID:23414436

Prediction models for clustered data: comparison of a random intercept and standard regression model.

PubMed

Bouwmeester, Walter; Twisk, Jos W R; Kappen, Teus H; van Klei, Wilton A; Moons, Karel G M; Vergouwe, Yvonne

2013-02-15

When study data are clustered, standard regression analysis is considered inappropriate and analytical techniques for clustered data need to be used. For prediction research in which the interest of predictor effects is on the patient level, random effect regression models are probably preferred over standard regression analysis. It is well known that the random effect parameter estimates and the standard logistic regression parameter estimates are different. Here, we compared random effect and standard logistic regression models for their ability to provide accurate predictions. Using an empirical study on 1642 surgical patients at risk of postoperative nausea and vomiting, who were treated by one of 19 anesthesiologists (clusters), we developed prognostic models either with standard or random intercept logistic regression. External validity of these models was assessed in new patients from other anesthesiologists. We supported our results with simulation studies using intra-class correlation coefficients (ICC) of 5%, 15%, or 30%. Standard performance measures and measures adapted for the clustered data structure were estimated. The model developed with random effect analysis showed better discrimination than the standard approach, if the cluster effects were used for risk prediction (standard c-index of 0.69 versus 0.66). In the external validation set, both models showed similar discrimination (standard c-index 0.68 versus 0.67). The simulation study confirmed these results. For datasets with a high ICC (≥15%), model calibration was only adequate in external subjects, if the used performance measure assumed the same data structure as the model development method: standard calibration measures showed good calibration for the standard developed model, calibration measures adapting the clustered data structure showed good calibration for the prediction model with random intercept. The models with random intercept discriminate better than the standard model only if the cluster effect is used for predictions. The prediction model with random intercept had good calibration within clusters.

Functional mixture regression.

PubMed

Yao, Fang; Fu, Yuejiao; Lee, Thomas C M

2011-04-01

In functional linear models (FLMs), the relationship between the scalar response and the functional predictor process is often assumed to be identical for all subjects. Motivated by both practical and methodological considerations, we relax this assumption and propose a new class of functional regression models that allow the regression structure to vary for different groups of subjects. By projecting the predictor process onto its eigenspace, the new functional regression model is simplified to a framework that is similar to classical mixture regression models. This leads to the proposed approach named as functional mixture regression (FMR). The estimation of FMR can be readily carried out using existing software implemented for functional principal component analysis and mixture regression. The practical necessity and performance of FMR are illustrated through applications to a longevity analysis of female medflies and a human growth study. Theoretical investigations concerning the consistent estimation and prediction properties of FMR along with simulation experiments illustrating its empirical properties are presented in the supplementary material available at Biostatistics online. Corresponding results demonstrate that the proposed approach could potentially achieve substantial gains over traditional FLMs.

Breast Cancer in Lampang, a Province in Northern Thailand: Analysis of 1993-2012 Incidence Data and Future Trends.

PubMed

Lalitwongsa, Somkiat; Pongnikorn, Donsuk; Daoprasert, Karnchana; Sriplung, Hutcha; Bilheem, Surichai

2015-01-01

The recent epidemiologic transition in Thailand, with decreasing incidence of infectious diseases along with increasing rates of chronic conditions, including cancer, is a serious problem for the country. Breast cancer has the highest incidence rates among females throughout Thailand. Lampang is a province in the upper part of Northern Thailand. A study was needed to identify the current burden, and the future trends of breast cancer in upper Northern Thai women. Here we used cancer incidence data from the Lampang Cancer Registry to characterize and analyze the local incidence of breast cancer. Joinpoint analysis, age period cohort model and Nordpred package were used to investigate the incidences of breast cancer in the province from 1993 to 2012 and to project future trends from 2013 to 2030. Age-standardized incidence rates (world) of breast cancer in the upper parts of Northern Thailand increased from 16.7 to 26.3 cases per 100,000 female population which is equivalent to an annual percentage change of 2.0-2.8%, according to the method used. Linear drift effects played a role in shaping the increase of incidence. The three projection method suggested that incidence rates would continue to increase in the future with incidence for women aged 50 and above, increasing at a higher rate than for women below the age of 50. The current early detection measures increase detection rates of early disease. Preparation of a budget for treatment facilities and human resources, both in surgical and medical oncology, is essential.

Modelling subject-specific childhood growth using linear mixed-effect models with cubic regression splines.

PubMed

Grajeda, Laura M; Ivanescu, Andrada; Saito, Mayuko; Crainiceanu, Ciprian; Jaganath, Devan; Gilman, Robert H; Crabtree, Jean E; Kelleher, Dermott; Cabrera, Lilia; Cama, Vitaliano; Checkley, William

2016-01-01

Childhood growth is a cornerstone of pediatric research. Statistical models need to consider individual trajectories to adequately describe growth outcomes. Specifically, well-defined longitudinal models are essential to characterize both population and subject-specific growth. Linear mixed-effect models with cubic regression splines can account for the nonlinearity of growth curves and provide reasonable estimators of population and subject-specific growth, velocity and acceleration. We provide a stepwise approach that builds from simple to complex models, and account for the intrinsic complexity of the data. We start with standard cubic splines regression models and build up to a model that includes subject-specific random intercepts and slopes and residual autocorrelation. We then compared cubic regression splines vis-à-vis linear piecewise splines, and with varying number of knots and positions. Statistical code is provided to ensure reproducibility and improve dissemination of methods. Models are applied to longitudinal height measurements in a cohort of 215 Peruvian children followed from birth until their fourth year of life. Unexplained variability, as measured by the variance of the regression model, was reduced from 7.34 when using ordinary least squares to 0.81 (p < 0.001) when using a linear mixed-effect models with random slopes and a first order continuous autoregressive error term. There was substantial heterogeneity in both the intercept (p < 0.001) and slopes (p < 0.001) of the individual growth trajectories. We also identified important serial correlation within the structure of the data (ρ = 0.66; 95 % CI 0.64 to 0.68; p < 0.001), which we modeled with a first order continuous autoregressive error term as evidenced by the variogram of the residuals and by a lack of association among residuals. The final model provides a parametric linear regression equation for both estimation and prediction of population- and individual-level growth in height. We show that cubic regression splines are superior to linear regression splines for the case of a small number of knots in both estimation and prediction with the full linear mixed effect model (AIC 19,352 vs. 19,598, respectively). While the regression parameters are more complex to interpret in the former, we argue that inference for any problem depends more on the estimated curve or differences in curves rather than the coefficients. Moreover, use of cubic regression splines provides biological meaningful growth velocity and acceleration curves despite increased complexity in coefficient interpretation. Through this stepwise approach, we provide a set of tools to model longitudinal childhood data for non-statisticians using linear mixed-effect models.

Advanced statistics: linear regression, part II: multiple linear regression.

PubMed

Marill, Keith A

2004-01-01

The applications of simple linear regression in medical research are limited, because in most situations, there are multiple relevant predictor variables. Univariate statistical techniques such as simple linear regression use a single predictor variable, and they often may be mathematically correct but clinically misleading. Multiple linear regression is a mathematical technique used to model the relationship between multiple independent predictor variables and a single dependent outcome variable. It is used in medical research to model observational data, as well as in diagnostic and therapeutic studies in which the outcome is dependent on more than one factor. Although the technique generally is limited to data that can be expressed with a linear function, it benefits from a well-developed mathematical framework that yields unique solutions and exact confidence intervals for regression coefficients. Building on Part I of this series, this article acquaints the reader with some of the important concepts in multiple regression analysis. These include multicollinearity, interaction effects, and an expansion of the discussion of inference testing, leverage, and variable transformations to multivariate models. Examples from the first article in this series are expanded on using a primarily graphic, rather than mathematical, approach. The importance of the relationships among the predictor variables and the dependence of the multivariate model coefficients on the choice of these variables are stressed. Finally, concepts in regression model building are discussed.

Categorical regression dose-response modeling

EPA Science Inventory

The goal of this training is to provide participants with training on the use of the U.S. EPA’s Categorical Regression soft¬ware (CatReg) and its application to risk assessment. Categorical regression fits mathematical models to toxicity data that have been assigned ord...

A SEMIPARAMETRIC BAYESIAN MODEL FOR CIRCULAR-LINEAR REGRESSION

EPA Science Inventory

We present a Bayesian approach to regress a circular variable on a linear predictor. The regression coefficients are assumed to have a nonparametric distribution with a Dirichlet process prior. The semiparametric Bayesian approach gives added flexibility to the model and is usefu...

Using "Excel" for White's Test--An Important Technique for Evaluating the Equality of Variance Assumption and Model Specification in a Regression Analysis

ERIC Educational Resources Information Center

Berenson, Mark L.

2013-01-01

There is consensus in the statistical literature that severe departures from its assumptions invalidate the use of regression modeling for purposes of inference. The assumptions of regression modeling are usually evaluated subjectively through visual, graphic displays in a residual analysis but such an approach, taken alone, may be insufficient…

A review of logistic regression models used to predict post-fire tree mortality of western North American conifers

Treesearch

Travis Woolley; David C. Shaw; Lisa M. Ganio; Stephen Fitzgerald

2012-01-01

Logistic regression models used to predict tree mortality are critical to post-fire management, planning prescribed bums and understanding disturbance ecology. We review literature concerning post-fire mortality prediction using logistic regression models for coniferous tree species in the western USA. We include synthesis and review of: methods to develop, evaluate...

Model Robust Calibration: Method and Application to Electronically-Scanned Pressure Transducers

NASA Technical Reports Server (NTRS)

Walker, Eric L.; Starnes, B. Alden; Birch, Jeffery B.; Mays, James E.

2010-01-01

This article presents the application of a recently developed statistical regression method to the controlled instrument calibration problem. The statistical method of Model Robust Regression (MRR), developed by Mays, Birch, and Starnes, is shown to improve instrument calibration by reducing the reliance of the calibration on a predetermined parametric (e.g. polynomial, exponential, logarithmic) model. This is accomplished by allowing fits from the predetermined parametric model to be augmented by a certain portion of a fit to the residuals from the initial regression using a nonparametric (locally parametric) regression technique. The method is demonstrated for the absolute scale calibration of silicon-based pressure transducers.

Criterion for evaluating the predictive ability of nonlinear regression models without cross-validation.

PubMed

Kaneko, Hiromasa; Funatsu, Kimito

2013-09-23

We propose predictive performance criteria for nonlinear regression models without cross-validation. The proposed criteria are the determination coefficient and the root-mean-square error for the midpoints between k-nearest-neighbor data points. These criteria can be used to evaluate predictive ability after the regression models are updated, whereas cross-validation cannot be performed in such a situation. The proposed method is effective and helpful in handling big data when cross-validation cannot be applied. By analyzing data from numerical simulations and quantitative structural relationships, we confirm that the proposed criteria enable the predictive ability of the nonlinear regression models to be appropriately quantified.

Robust inference under the beta regression model with application to health care studies.

PubMed

Ghosh, Abhik

2017-01-01

Data on rates, percentages, or proportions arise frequently in many different applied disciplines like medical biology, health care, psychology, and several others. In this paper, we develop a robust inference procedure for the beta regression model, which is used to describe such response variables taking values in (0, 1) through some related explanatory variables. In relation to the beta regression model, the issue of robustness has been largely ignored in the literature so far. The existing maximum likelihood-based inference has serious lack of robustness against outliers in data and generate drastically different (erroneous) inference in the presence of data contamination. Here, we develop the robust minimum density power divergence estimator and a class of robust Wald-type tests for the beta regression model along with several applications. We derive their asymptotic properties and describe their robustness theoretically through the influence function analyses. Finite sample performances of the proposed estimators and tests are examined through suitable simulation studies and real data applications in the context of health care and psychology. Although we primarily focus on the beta regression models with a fixed dispersion parameter, some indications are also provided for extension to the variable dispersion beta regression models with an application.

Differentially private distributed logistic regression using private and public data.

PubMed

Ji, Zhanglong; Jiang, Xiaoqian; Wang, Shuang; Xiong, Li; Ohno-Machado, Lucila

2014-01-01

Privacy protecting is an important issue in medical informatics and differential privacy is a state-of-the-art framework for data privacy research. Differential privacy offers provable privacy against attackers who have auxiliary information, and can be applied to data mining models (for example, logistic regression). However, differentially private methods sometimes introduce too much noise and make outputs less useful. Given available public data in medical research (e.g. from patients who sign open-consent agreements), we can design algorithms that use both public and private data sets to decrease the amount of noise that is introduced. In this paper, we modify the update step in Newton-Raphson method to propose a differentially private distributed logistic regression model based on both public and private data. We try our algorithm on three different data sets, and show its advantage over: (1) a logistic regression model based solely on public data, and (2) a differentially private distributed logistic regression model based on private data under various scenarios. Logistic regression models built with our new algorithm based on both private and public datasets demonstrate better utility than models that trained on private or public datasets alone without sacrificing the rigorous privacy guarantee.

Experimental and computational prediction of glass transition temperature of drugs.

PubMed

Alzghoul, Ahmad; Alhalaweh, Amjad; Mahlin, Denny; Bergström, Christel A S

2014-12-22

Glass transition temperature (Tg) is an important inherent property of an amorphous solid material which is usually determined experimentally. In this study, the relation between Tg and melting temperature (Tm) was evaluated using a data set of 71 structurally diverse druglike compounds. Further, in silico models for prediction of Tg were developed based on calculated molecular descriptors and linear (multilinear regression, partial least-squares, principal component regression) and nonlinear (neural network, support vector regression) modeling techniques. The models based on Tm predicted Tg with an RMSE of 19.5 K for the test set. Among the five computational models developed herein the support vector regression gave the best result with RMSE of 18.7 K for the test set using only four chemical descriptors. Hence, two different models that predict Tg of drug-like molecules with high accuracy were developed. If Tm is available, a simple linear regression can be used to predict Tg. However, the results also suggest that support vector regression and calculated molecular descriptors can predict Tg with equal accuracy, already before compound synthesis.

Nonlinear-regression flow model of the Gulf Coast aquifer systems in the south-central United States

USGS Publications Warehouse

Kuiper, L.K.

1994-01-01

A multiple-regression methodology was used to help answer questions concerning model reliability, and to calibrate a time-dependent variable-density ground-water flow model of the gulf coast aquifer systems in the south-central United States. More than 40 regression models with 2 to 31 regressions parameters are used and detailed results are presented for 12 of the models. More than 3,000 values for grid-element volume-averaged head and hydraulic conductivity are used for the regression model observations. Calculated prediction interval half widths, though perhaps inaccurate due to a lack of normality of the residuals, are the smallest for models with only four regression parameters. In addition, the root-mean weighted residual decreases very little with an increase in the number of regression parameters. The various models showed considerable overlap between the prediction inter- vals for shallow head and hydraulic conductivity. Approximate 95-percent prediction interval half widths for volume-averaged freshwater head exceed 108 feet; for volume-averaged base 10 logarithm hydraulic conductivity, they exceed 0.89. All of the models are unreliable for the prediction of head and ground-water flow in the deeper parts of the aquifer systems, including the amount of flow coming from the underlying geopressured zone. Truncating the domain of solution of one model to exclude that part of the system having a ground-water density greater than 1.005 grams per cubic centimeter or to exclude that part of the systems below a depth of 3,000 feet, and setting the density to that of freshwater does not appreciably change the results for head and ground-water flow, except for locations close to the truncation surface.

A primer for biomedical scientists on how to execute model II linear regression analysis.

PubMed

Ludbrook, John

2012-04-01

1. There are two very different ways of executing linear regression analysis. One is Model I, when the x-values are fixed by the experimenter. The other is Model II, in which the x-values are free to vary and are subject to error. 2. I have received numerous complaints from biomedical scientists that they have great difficulty in executing Model II linear regression analysis. This may explain the results of a Google Scholar search, which showed that the authors of articles in journals of physiology, pharmacology and biochemistry rarely use Model II regression analysis. 3. I repeat my previous arguments in favour of using least products linear regression analysis for Model II regressions. I review three methods for executing ordinary least products (OLP) and weighted least products (WLP) regression analysis: (i) scientific calculator and/or computer spreadsheet; (ii) specific purpose computer programs; and (iii) general purpose computer programs. 4. Using a scientific calculator and/or computer spreadsheet, it is easy to obtain correct values for OLP slope and intercept, but the corresponding 95% confidence intervals (CI) are inaccurate. 5. Using specific purpose computer programs, the freeware computer program smatr gives the correct OLP regression coefficients and obtains 95% CI by bootstrapping. In addition, smatr can be used to compare the slopes of OLP lines. 6. When using general purpose computer programs, I recommend the commercial programs systat and Statistica for those who regularly undertake linear regression analysis and I give step-by-step instructions in the Supplementary Information as to how to use loss functions. © 2011 The Author. Clinical and Experimental Pharmacology and Physiology. © 2011 Blackwell Publishing Asia Pty Ltd.

Simulating land-use changes by incorporating spatial autocorrelation and self-organization in CLUE-S modeling: a case study in Zengcheng District, Guangzhou, China

NASA Astrophysics Data System (ADS)

Mei, Zhixiong; Wu, Hao; Li, Shiyun

2018-06-01

The Conversion of Land Use and its Effects at Small regional extent (CLUE-S), which is a widely used model for land-use simulation, utilizes logistic regression to estimate the relationships between land use and its drivers, and thus, predict land-use change probabilities. However, logistic regression disregards possible spatial autocorrelation and self-organization in land-use data. Autologistic regression can depict spatial autocorrelation but cannot address self-organization, while logistic regression by considering only self-organization (NElogistic regression) fails to capture spatial autocorrelation. Therefore, this study developed a regression (NE-autologistic regression) method, which incorporated both spatial autocorrelation and self-organization, to improve CLUE-S. The Zengcheng District of Guangzhou, China was selected as the study area. The land-use data of 2001, 2005, and 2009, as well as 10 typical driving factors, were used to validate the proposed regression method and the improved CLUE-S model. Then, three future land-use scenarios in 2020: the natural growth scenario, ecological protection scenario, and economic development scenario, were simulated using the improved model. Validation results showed that NE-autologistic regression performed better than logistic regression, autologistic regression, and NE-logistic regression in predicting land-use change probabilities. The spatial allocation accuracy and kappa values of NE-autologistic-CLUE-S were higher than those of logistic-CLUE-S, autologistic-CLUE-S, and NE-logistic-CLUE-S for the simulations of two periods, 2001-2009 and 2005-2009, which proved that the improved CLUE-S model achieved the best simulation and was thereby effective to a certain extent. The scenario simulation results indicated that under all three scenarios, traffic land and residential/industrial land would increase, whereas arable land and unused land would decrease during 2009-2020. Apparent differences also existed in the simulated change sizes and locations of each land-use type under different scenarios. The results not only demonstrate the validity of the improved model but also provide a valuable reference for relevant policy-makers.

Time series modeling by a regression approach based on a latent process.

PubMed

Chamroukhi, Faicel; Samé, Allou; Govaert, Gérard; Aknin, Patrice

2009-01-01

Time series are used in many domains including finance, engineering, economics and bioinformatics generally to represent the change of a measurement over time. Modeling techniques may then be used to give a synthetic representation of such data. A new approach for time series modeling is proposed in this paper. It consists of a regression model incorporating a discrete hidden logistic process allowing for activating smoothly or abruptly different polynomial regression models. The model parameters are estimated by the maximum likelihood method performed by a dedicated Expectation Maximization (EM) algorithm. The M step of the EM algorithm uses a multi-class Iterative Reweighted Least-Squares (IRLS) algorithm to estimate the hidden process parameters. To evaluate the proposed approach, an experimental study on simulated data and real world data was performed using two alternative approaches: a heteroskedastic piecewise regression model using a global optimization algorithm based on dynamic programming, and a Hidden Markov Regression Model whose parameters are estimated by the Baum-Welch algorithm. Finally, in the context of the remote monitoring of components of the French railway infrastructure, and more particularly the switch mechanism, the proposed approach has been applied to modeling and classifying time series representing the condition measurements acquired during switch operations.

Estimating linear temporal trends from aggregated environmental monitoring data

USGS Publications Warehouse

Erickson, Richard A.; Gray, Brian R.; Eager, Eric A.

2017-01-01

Trend estimates are often used as part of environmental monitoring programs. These trends inform managers (e.g., are desired species increasing or undesired species decreasing?). Data collected from environmental monitoring programs is often aggregated (i.e., averaged), which confounds sampling and process variation. State-space models allow sampling variation and process variations to be separated. We used simulated time-series to compare linear trend estimations from three state-space models, a simple linear regression model, and an auto-regressive model. We also compared the performance of these five models to estimate trends from a long term monitoring program. We specifically estimated trends for two species of fish and four species of aquatic vegetation from the Upper Mississippi River system. We found that the simple linear regression had the best performance of all the given models because it was best able to recover parameters and had consistent numerical convergence. Conversely, the simple linear regression did the worst job estimating populations in a given year. The state-space models did not estimate trends well, but estimated population sizes best when the models converged. We found that a simple linear regression performed better than more complex autoregression and state-space models when used to analyze aggregated environmental monitoring data.

An adaptive two-stage analog/regression model for probabilistic prediction of small-scale precipitation in France

NASA Astrophysics Data System (ADS)

Chardon, Jérémy; Hingray, Benoit; Favre, Anne-Catherine

2018-01-01

Statistical downscaling models (SDMs) are often used to produce local weather scenarios from large-scale atmospheric information. SDMs include transfer functions which are based on a statistical link identified from observations between local weather and a set of large-scale predictors. As physical processes driving surface weather vary in time, the most relevant predictors and the regression link are likely to vary in time too. This is well known for precipitation for instance and the link is thus often estimated after some seasonal stratification of the data. In this study, we present a two-stage analog/regression model where the regression link is estimated from atmospheric analogs of the current prediction day. Atmospheric analogs are identified from fields of geopotential heights at 1000 and 500 hPa. For the regression stage, two generalized linear models are further used to model the probability of precipitation occurrence and the distribution of non-zero precipitation amounts, respectively. The two-stage model is evaluated for the probabilistic prediction of small-scale precipitation over France. It noticeably improves the skill of the prediction for both precipitation occurrence and amount. As the analog days vary from one prediction day to another, the atmospheric predictors selected in the regression stage and the value of the corresponding regression coefficients can vary from one prediction day to another. The model allows thus for a day-to-day adaptive and tailored downscaling. It can also reveal specific predictors for peculiar and non-frequent weather configurations.

Predicting recycling behaviour: Comparison of a linear regression model and a fuzzy logic model.

PubMed

Vesely, Stepan; Klöckner, Christian A; Dohnal, Mirko

2016-03-01

In this paper we demonstrate that fuzzy logic can provide a better tool for predicting recycling behaviour than the customarily used linear regression. To show this, we take a set of empirical data on recycling behaviour (N=664), which we randomly divide into two halves. The first half is used to estimate a linear regression model of recycling behaviour, and to develop a fuzzy logic model of recycling behaviour. As the first comparison, the fit of both models to the data included in estimation of the models (N=332) is evaluated. As the second comparison, predictive accuracy of both models for "new" cases (hold-out data not included in building the models, N=332) is assessed. In both cases, the fuzzy logic model significantly outperforms the regression model in terms of fit. To conclude, when accurate predictions of recycling and possibly other environmental behaviours are needed, fuzzy logic modelling seems to be a promising technique. Copyright © 2015 Elsevier Ltd. All rights reserved.

Newer classification and regression tree techniques: Bagging and Random Forests for ecological prediction

Treesearch

Anantha M. Prasad; Louis R. Iverson; Andy Liaw; Andy Liaw

2006-01-01

We evaluated four statistical models - Regression Tree Analysis (RTA), Bagging Trees (BT), Random Forests (RF), and Multivariate Adaptive Regression Splines (MARS) - for predictive vegetation mapping under current and future climate scenarios according to the Canadian Climate Centre global circulation model.

Prediction by regression and intrarange data scatter in surface-process studies

USGS Publications Warehouse

Toy, T.J.; Osterkamp, W.R.; Renard, K.G.

1993-01-01

Modeling is a major component of contemporary earth science, and regression analysis occupies a central position in the parameterization, calibration, and validation of geomorphic and hydrologic models. Although this methodology can be used in many ways, we are primarily concerned with the prediction of values for one variable from another variable. Examination of the literature reveals considerable inconsistency in the presentation of the results of regression analysis and the occurrence of patterns in the scatter of data points about the regression line. Both circumstances confound utilization and evaluation of the models. Statisticians are well aware of various problems associated with the use of regression analysis and offer improved practices; often, however, their guidelines are not followed. After a review of the aforementioned circumstances and until standard criteria for model evaluation become established, we recommend, as a minimum, inclusion of scatter diagrams, the standard error of the estimate, and sample size in reporting the results of regression analyses for most surface-process studies. ?? 1993 Springer-Verlag.

Applicability of Monte Carlo cross validation technique for model development and validation using generalised least squares regression

NASA Astrophysics Data System (ADS)

Haddad, Khaled; Rahman, Ataur; A Zaman, Mohammad; Shrestha, Surendra

2013-03-01

SummaryIn regional hydrologic regression analysis, model selection and validation are regarded as important steps. Here, the model selection is usually based on some measurements of goodness-of-fit between the model prediction and observed data. In Regional Flood Frequency Analysis (RFFA), leave-one-out (LOO) validation or a fixed percentage leave out validation (e.g., 10%) is commonly adopted to assess the predictive ability of regression-based prediction equations. This paper develops a Monte Carlo Cross Validation (MCCV) technique (which has widely been adopted in Chemometrics and Econometrics) in RFFA using Generalised Least Squares Regression (GLSR) and compares it with the most commonly adopted LOO validation approach. The study uses simulated and regional flood data from the state of New South Wales in Australia. It is found that when developing hydrologic regression models, application of the MCCV is likely to result in a more parsimonious model than the LOO. It has also been found that the MCCV can provide a more realistic estimate of a model's predictive ability when compared with the LOO.

Multiple regression analysis in modelling of carbon dioxide emissions by energy consumption use in Malaysia

NASA Astrophysics Data System (ADS)

Keat, Sim Chong; Chun, Beh Boon; San, Lim Hwee; Jafri, Mohd Zubir Mat

2015-04-01

Climate change due to carbon dioxide (CO2) emissions is one of the most complex challenges threatening our planet. This issue considered as a great and international concern that primary attributed from different fossil fuels. In this paper, regression model is used for analyzing the causal relationship among CO2 emissions based on the energy consumption in Malaysia using time series data for the period of 1980-2010. The equations were developed using regression model based on the eight major sources that contribute to the CO2 emissions such as non energy, Liquefied Petroleum Gas (LPG), diesel, kerosene, refinery gas, Aviation Turbine Fuel (ATF) and Aviation Gasoline (AV Gas), fuel oil and motor petrol. The related data partly used for predict the regression model (1980-2000) and partly used for validate the regression model (2001-2010). The results of the prediction model with the measured data showed a high correlation coefficient (R2=0.9544), indicating the model's accuracy and efficiency. These results are accurate and can be used in early warning of the population to comply with air quality standards.

Partial Least Squares with Structured Output for Modelling the Metabolomics Data Obtained from Complex Experimental Designs: A Study into the Y-Block Coding.

PubMed

Xu, Yun; Muhamadali, Howbeer; Sayqal, Ali; Dixon, Neil; Goodacre, Royston

2016-10-28

Partial least squares (PLS) is one of the most commonly used supervised modelling approaches for analysing multivariate metabolomics data. PLS is typically employed as either a regression model (PLS-R) or a classification model (PLS-DA). However, in metabolomics studies it is common to investigate multiple, potentially interacting, factors simultaneously following a specific experimental design. Such data often cannot be considered as a "pure" regression or a classification problem. Nevertheless, these data have often still been treated as a regression or classification problem and this could lead to ambiguous results. In this study, we investigated the feasibility of designing a hybrid target matrix Y that better reflects the experimental design than simple regression or binary class membership coding commonly used in PLS modelling. The new design of Y coding was based on the same principle used by structural modelling in machine learning techniques. Two real metabolomics datasets were used as examples to illustrate how the new Y coding can improve the interpretability of the PLS model compared to classic regression/classification coding.

Methods for calculating confidence and credible intervals for the residual between-study variance in random effects meta-regression models

PubMed Central

2014-01-01

Background Meta-regression is becoming increasingly used to model study level covariate effects. However this type of statistical analysis presents many difficulties and challenges. Here two methods for calculating confidence intervals for the magnitude of the residual between-study variance in random effects meta-regression models are developed. A further suggestion for calculating credible intervals using informative prior distributions for the residual between-study variance is presented. Methods Two recently proposed and, under the assumptions of the random effects model, exact methods for constructing confidence intervals for the between-study variance in random effects meta-analyses are extended to the meta-regression setting. The use of Generalised Cochran heterogeneity statistics is extended to the meta-regression setting and a Newton-Raphson procedure is developed to implement the Q profile method for meta-analysis and meta-regression. WinBUGS is used to implement informative priors for the residual between-study variance in the context of Bayesian meta-regressions. Results Results are obtained for two contrasting examples, where the first example involves a binary covariate and the second involves a continuous covariate. Intervals for the residual between-study variance are wide for both examples. Conclusions Statistical methods, and R computer software, are available to compute exact confidence intervals for the residual between-study variance under the random effects model for meta-regression. These frequentist methods are almost as easily implemented as their established counterparts for meta-analysis. Bayesian meta-regressions are also easily performed by analysts who are comfortable using WinBUGS. Estimates of the residual between-study variance in random effects meta-regressions should be routinely reported and accompanied by some measure of their uncertainty. Confidence and/or credible intervals are well-suited to this purpose. PMID:25196829

Evaluation of accuracy of linear regression models in predicting urban stormwater discharge characteristics.

PubMed

Madarang, Krish J; Kang, Joo-Hyon

2014-06-01

Stormwater runoff has been identified as a source of pollution for the environment, especially for receiving waters. In order to quantify and manage the impacts of stormwater runoff on the environment, predictive models and mathematical models have been developed. Predictive tools such as regression models have been widely used to predict stormwater discharge characteristics. Storm event characteristics, such as antecedent dry days (ADD), have been related to response variables, such as pollutant loads and concentrations. However it has been a controversial issue among many studies to consider ADD as an important variable in predicting stormwater discharge characteristics. In this study, we examined the accuracy of general linear regression models in predicting discharge characteristics of roadway runoff. A total of 17 storm events were monitored in two highway segments, located in Gwangju, Korea. Data from the monitoring were used to calibrate United States Environmental Protection Agency's Storm Water Management Model (SWMM). The calibrated SWMM was simulated for 55 storm events, and the results of total suspended solid (TSS) discharge loads and event mean concentrations (EMC) were extracted. From these data, linear regression models were developed. R(2) and p-values of the regression of ADD for both TSS loads and EMCs were investigated. Results showed that pollutant loads were better predicted than pollutant EMC in the multiple regression models. Regression may not provide the true effect of site-specific characteristics, due to uncertainty in the data. Copyright © 2014 The Research Centre for Eco-Environmental Sciences, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

A gentle introduction to quantile regression for ecologists

USGS Publications Warehouse

Cade, B.S.; Noon, B.R.

2003-01-01

Quantile regression is a way to estimate the conditional quantiles of a response variable distribution in the linear model that provides a more complete view of possible causal relationships between variables in ecological processes. Typically, all the factors that affect ecological processes are not measured and included in the statistical models used to investigate relationships between variables associated with those processes. As a consequence, there may be a weak or no predictive relationship between the mean of the response variable (y) distribution and the measured predictive factors (X). Yet there may be stronger, useful predictive relationships with other parts of the response variable distribution. This primer relates quantile regression estimates to prediction intervals in parametric error distribution regression models (eg least squares), and discusses the ordering characteristics, interval nature, sampling variation, weighting, and interpretation of the estimates for homogeneous and heterogeneous regression models.

4D-Fingerprint Categorical QSAR Models for Skin Sensitization Based on Classification Local Lymph Node Assay Measures

PubMed Central

Li, Yi; Tseng, Yufeng J.; Pan, Dahua; Liu, Jianzhong; Kern, Petra S.; Gerberick, G. Frank; Hopfinger, Anton J.

2008-01-01

Currently, the only validated methods to identify skin sensitization effects are in vivo models, such as the Local Lymph Node Assay (LLNA) and guinea pig studies. There is a tremendous need, in particular due to novel legislation, to develop animal alternatives, eg. Quantitative Structure-Activity Relationship (QSAR) models. Here, QSAR models for skin sensitization using LLNA data have been constructed. The descriptors used to generate these models are derived from the 4D-molecular similarity paradigm and are referred to as universal 4D-fingerprints. A training set of 132 structurally diverse compounds and a test set of 15 structurally diverse compounds were used in this study. The statistical methodologies used to build the models are logistic regression (LR), and partial least square coupled logistic regression (PLS-LR), which prove to be effective tools for studying skin sensitization measures expressed in the two categorical terms of sensitizer and non-sensitizer. QSAR models with low values of the Hosmer-Lemeshow goodness-of-fit statistic, χHL2, are significant and predictive. For the training set, the cross-validated prediction accuracy of the logistic regression models ranges from 77.3% to 78.0%, while that of PLS-logistic regression models ranges from 87.1% to 89.4%. For the test set, the prediction accuracy of logistic regression models ranges from 80.0%-86.7%, while that of PLS-logistic regression models ranges from 73.3%-80.0%. The QSAR models are made up of 4D-fingerprints related to aromatic atoms, hydrogen bond acceptors and negatively partially charged atoms. PMID:17226934

Random regression analyses using B-splines functions to model growth from birth to adult age in Canchim cattle.

PubMed

Baldi, F; Alencar, M M; Albuquerque, L G

2010-12-01

The objective of this work was to estimate covariance functions using random regression models on B-splines functions of animal age, for weights from birth to adult age in Canchim cattle. Data comprised 49,011 records on 2435 females. The model of analysis included fixed effects of contemporary groups, age of dam as quadratic covariable and the population mean trend taken into account by a cubic regression on orthogonal polynomials of animal age. Residual variances were modelled through a step function with four classes. The direct and maternal additive genetic effects, and animal and maternal permanent environmental effects were included as random effects in the model. A total of seventeen analyses, considering linear, quadratic and cubic B-splines functions and up to seven knots, were carried out. B-spline functions of the same order were considered for all random effects. Random regression models on B-splines functions were compared to a random regression model on Legendre polynomials and with a multitrait model. Results from different models of analyses were compared using the REML form of the Akaike Information criterion and Schwarz' Bayesian Information criterion. In addition, the variance components and genetic parameters estimated for each random regression model were also used as criteria to choose the most adequate model to describe the covariance structure of the data. A model fitting quadratic B-splines, with four knots or three segments for direct additive genetic effect and animal permanent environmental effect and two knots for maternal additive genetic effect and maternal permanent environmental effect, was the most adequate to describe the covariance structure of the data. Random regression models using B-spline functions as base functions fitted the data better than Legendre polynomials, especially at mature ages, but higher number of parameters need to be estimated with B-splines functions. © 2010 Blackwell Verlag GmbH.

Predicting ecological flow regime at ungaged sites: A comparison of methods

USGS Publications Warehouse

Murphy, Jennifer C.; Knight, Rodney R.; Wolfe, William J.; Gain, W. Scott

2012-01-01

Nineteen ecologically relevant streamflow characteristics were estimated using published rainfall–runoff and regional regression models for six sites with observed daily streamflow records in Kentucky. The regional regression model produced median estimates closer to the observed median for all but two characteristics. The variability of predictions from both models was generally less than the observed variability. The variability of the predictions from the rainfall–runoff model was greater than that from the regional regression model for all but three characteristics. Eight characteristics predicted by the rainfall–runoff model display positive or negative bias across all six sites; biases are not as pronounced for the regional regression model. Results suggest that a rainfall–runoff model calibrated on a single characteristic is less likely to perform well as a predictor of a range of other characteristics (flow regime) when compared with a regional regression model calibrated individually on multiple characteristics used to represent the flow regime. Poor model performance may misrepresent hydrologic conditions, potentially distorting the perceived risk of ecological degradation. Without prior selection of streamflow characteristics, targeted calibration, and error quantification, the widespread application of general hydrologic models to ecological flow studies is problematic. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

Modeling Tetanus Neonatorum case using the regression of negative binomial and zero-inflated negative binomial

NASA Astrophysics Data System (ADS)

Amaliana, Luthfatul; Sa'adah, Umu; Wayan Surya Wardhani, Ni

2017-12-01

Tetanus Neonatorum is an infectious disease that can be prevented by immunization. The number of Tetanus Neonatorum cases in East Java Province is the highest in Indonesia until 2015. Tetanus Neonatorum data contain over dispersion and big enough proportion of zero-inflation. Negative Binomial (NB) regression is an alternative method when over dispersion happens in Poisson regression. However, the data containing over dispersion and zero-inflation are more appropriately analyzed by using Zero-Inflated Negative Binomial (ZINB) regression. The purpose of this study are: (1) to model Tetanus Neonatorum cases in East Java Province with 71.05 percent proportion of zero-inflation by using NB and ZINB regression, (2) to obtain the best model. The result of this study indicates that ZINB is better than NB regression with smaller AIC.

Penalized nonparametric scalar-on-function regression via principal coordinates

PubMed Central

Reiss, Philip T.; Miller, David L.; Wu, Pei-Shien; Hua, Wen-Yu

2016-01-01

A number of classical approaches to nonparametric regression have recently been extended to the case of functional predictors. This paper introduces a new method of this type, which extends intermediate-rank penalized smoothing to scalar-on-function regression. In the proposed method, which we call principal coordinate ridge regression, one regresses the response on leading principal coordinates defined by a relevant distance among the functional predictors, while applying a ridge penalty. Our publicly available implementation, based on generalized additive modeling software, allows for fast optimal tuning parameter selection and for extensions to multiple functional predictors, exponential family-valued responses, and mixed-effects models. In an application to signature verification data, principal coordinate ridge regression, with dynamic time warping distance used to define the principal coordinates, is shown to outperform a functional generalized linear model. PMID:29217963

Analysis of Sting Balance Calibration Data Using Optimized Regression Models

NASA Technical Reports Server (NTRS)

Ulbrich, N.; Bader, Jon B.

2010-01-01

Calibration data of a wind tunnel sting balance was processed using a candidate math model search algorithm that recommends an optimized regression model for the data analysis. During the calibration the normal force and the moment at the balance moment center were selected as independent calibration variables. The sting balance itself had two moment gages. Therefore, after analyzing the connection between calibration loads and gage outputs, it was decided to choose the difference and the sum of the gage outputs as the two responses that best describe the behavior of the balance. The math model search algorithm was applied to these two responses. An optimized regression model was obtained for each response. Classical strain gage balance load transformations and the equations of the deflection of a cantilever beam under load are used to show that the search algorithm s two optimized regression models are supported by a theoretical analysis of the relationship between the applied calibration loads and the measured gage outputs. The analysis of the sting balance calibration data set is a rare example of a situation when terms of a regression model of a balance can directly be derived from first principles of physics. In addition, it is interesting to note that the search algorithm recommended the correct regression model term combinations using only a set of statistical quality metrics that were applied to the experimental data during the algorithm s term selection process.

Estimating extent of mortality associated with the Douglas-fir beetle in the Central and Northern Rockies

Treesearch

Jose F. Negron; Willis C. Schaupp; Kenneth E. Gibson; John Anhold; Dawn Hansen; Ralph Thier; Phil Mocettini

1999-01-01

Data collected from Douglas-fir stands infected by the Douglas-fir beetle in Wyoming, Montana, Idaho, and Utah, were used to develop models to estimate amount of mortality in terms of basal area killed. Models were built using stepwise linear regression and regression tree approaches. Linear regression models using initial Douglas-fir basal area were built for all...

Deep ensemble learning of sparse regression models for brain disease diagnosis.

PubMed

Suk, Heung-Il; Lee, Seong-Whan; Shen, Dinggang

2017-04-01

Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effectiveness in handling high-dimensional data but with a small number of training samples, especially in medical problems. In the meantime, deep learning methods have been making great successes by outperforming the state-of-the-art performances in various applications. In this paper, we propose a novel framework that combines the two conceptually different methods of sparse regression and deep learning for Alzheimer's disease/mild cognitive impairment diagnosis and prognosis. Specifically, we first train multiple sparse regression models, each of which is trained with different values of a regularization control parameter. Thus, our multiple sparse regression models potentially select different feature subsets from the original feature set; thereby they have different powers to predict the response values, i.e., clinical label and clinical scores in our work. By regarding the response values from our sparse regression models as target-level representations, we then build a deep convolutional neural network for clinical decision making, which thus we call 'Deep Ensemble Sparse Regression Network.' To our best knowledge, this is the first work that combines sparse regression models with deep neural network. In our experiments with the ADNI cohort, we validated the effectiveness of the proposed method by achieving the highest diagnostic accuracies in three classification tasks. We also rigorously analyzed our results and compared with the previous studies on the ADNI cohort in the literature. Copyright © 2017 Elsevier B.V. All rights reserved.

Deep ensemble learning of sparse regression models for brain disease diagnosis

PubMed Central

Suk, Heung-Il; Lee, Seong-Whan; Shen, Dinggang

2018-01-01

Recent studies on brain imaging analysis witnessed the core roles of machine learning techniques in computer-assisted intervention for brain disease diagnosis. Of various machine-learning techniques, sparse regression models have proved their effectiveness in handling high-dimensional data but with a small number of training samples, especially in medical problems. In the meantime, deep learning methods have been making great successes by outperforming the state-of-the-art performances in various applications. In this paper, we propose a novel framework that combines the two conceptually different methods of sparse regression and deep learning for Alzheimer’s disease/mild cognitive impairment diagnosis and prognosis. Specifically, we first train multiple sparse regression models, each of which is trained with different values of a regularization control parameter. Thus, our multiple sparse regression models potentially select different feature subsets from the original feature set; thereby they have different powers to predict the response values, i.e., clinical label and clinical scores in our work. By regarding the response values from our sparse regression models as target-level representations, we then build a deep convolutional neural network for clinical decision making, which thus we call ‘ Deep Ensemble Sparse Regression Network.’ To our best knowledge, this is the first work that combines sparse regression models with deep neural network. In our experiments with the ADNI cohort, we validated the effectiveness of the proposed method by achieving the highest diagnostic accuracies in three classification tasks. We also rigorously analyzed our results and compared with the previous studies on the ADNI cohort in the literature. PMID:28167394

Advanced statistics: linear regression, part I: simple linear regression.

PubMed

Marill, Keith A

2004-01-01

Simple linear regression is a mathematical technique used to model the relationship between a single independent predictor variable and a single dependent outcome variable. In this, the first of a two-part series exploring concepts in linear regression analysis, the four fundamental assumptions and the mechanics of simple linear regression are reviewed. The most common technique used to derive the regression line, the method of least squares, is described. The reader will be acquainted with other important concepts in simple linear regression, including: variable transformations, dummy variables, relationship to inference testing, and leverage. Simplified clinical examples with small datasets and graphic models are used to illustrate the points. This will provide a foundation for the second article in this series: a discussion of multiple linear regression, in which there are multiple predictor variables.

OPC modeling by genetic algorithm

NASA Astrophysics Data System (ADS)

Huang, W. C.; Lai, C. M.; Luo, B.; Tsai, C. K.; Tsay, C. S.; Lai, C. W.; Kuo, C. C.; Liu, R. G.; Lin, H. T.; Lin, B. J.

2005-05-01

Optical proximity correction (OPC) is usually used to pre-distort mask layouts to make the printed patterns as close to the desired shapes as possible. For model-based OPC, a lithographic model to predict critical dimensions after lithographic processing is needed. The model is usually obtained via a regression of parameters based on experimental data containing optical proximity effects. When the parameters involve a mix of the continuous (optical and resist models) and the discrete (kernel numbers) sets, the traditional numerical optimization method may have difficulty handling model fitting. In this study, an artificial-intelligent optimization method was used to regress the parameters of the lithographic models for OPC. The implemented phenomenological models were constant-threshold models that combine diffused aerial image models with loading effects. Optical kernels decomposed from Hopkin"s equation were used to calculate aerial images on the wafer. Similarly, the numbers of optical kernels were treated as regression parameters. This way, good regression results were obtained with different sets of optical proximity effect data.

A land use regression model for ambient ultrafine particles in Montreal, Canada: A comparison of linear regression and a machine learning approach.

PubMed

Weichenthal, Scott; Ryswyk, Keith Van; Goldstein, Alon; Bagg, Scott; Shekkarizfard, Maryam; Hatzopoulou, Marianne

2016-04-01

Existing evidence suggests that ambient ultrafine particles (UFPs) (<0.1µm) may contribute to acute cardiorespiratory morbidity. However, few studies have examined the long-term health effects of these pollutants owing in part to a need for exposure surfaces that can be applied in large population-based studies. To address this need, we developed a land use regression model for UFPs in Montreal, Canada using mobile monitoring data collected from 414 road segments during the summer and winter months between 2011 and 2012. Two different approaches were examined for model development including standard multivariable linear regression and a machine learning approach (kernel-based regularized least squares (KRLS)) that learns the functional form of covariate impacts on ambient UFP concentrations from the data. The final models included parameters for population density, ambient temperature and wind speed, land use parameters (park space and open space), length of local roads and rail, and estimated annual average NOx emissions from traffic. The final multivariable linear regression model explained 62% of the spatial variation in ambient UFP concentrations whereas the KRLS model explained 79% of the variance. The KRLS model performed slightly better than the linear regression model when evaluated using an external dataset (R(2)=0.58 vs. 0.55) or a cross-validation procedure (R(2)=0.67 vs. 0.60). In general, our findings suggest that the KRLS approach may offer modest improvements in predictive performance compared to standard multivariable linear regression models used to estimate spatial variations in ambient UFPs. However, differences in predictive performance were not statistically significant when evaluated using the cross-validation procedure. Crown Copyright © 2015. Published by Elsevier Inc. All rights reserved.

Premium analysis for copula model: A case study for Malaysian motor insurance claims

NASA Astrophysics Data System (ADS)

Resti, Yulia; Ismail, Noriszura; Jaaman, Saiful Hafizah

2014-06-01

This study performs premium analysis for copula models with regression marginals. For illustration purpose, the copula models are fitted to the Malaysian motor insurance claims data. In this study, we consider copula models from Archimedean and Elliptical families, and marginal distributions of Gamma and Inverse Gaussian regression models. The simulated results from independent model, which is obtained from fitting regression models separately to each claim category, and dependent model, which is obtained from fitting copula models to all claim categories, are compared. The results show that the dependent model using Frank copula is the best model since the risk premiums estimated under this model are closely approximate to the actual claims experience relative to the other copula models.

Predicting nitrogen loading with land-cover composition: how can watershed size affect model performance?

PubMed

Zhang, Tao; Yang, Xiaojun

2013-01-01

Watershed-wide land-cover proportions can be used to predict the in-stream non-point source pollutant loadings through regression modeling. However, the model performance can vary greatly across different study sites and among various watersheds. Existing literature has shown that this type of regression modeling tends to perform better for large watersheds than for small ones, and that such a performance variation has been largely linked with different interwatershed landscape heterogeneity levels. The purpose of this study is to further examine the previously mentioned empirical observation based on a set of watersheds in the northern part of Georgia (USA) to explore the underlying causes of the variation in model performance. Through the combined use of the neutral landscape modeling approach and a spatially explicit nutrient loading model, we tested whether the regression model performance variation over the watershed groups ranging in size is due to the different watershed landscape heterogeneity levels. We adopted three neutral landscape modeling criteria that were tied with different similarity levels in watershed landscape properties and used the nutrient loading model to estimate the nitrogen loads for these neutral watersheds. Then we compared the regression model performance for the real and neutral landscape scenarios, respectively. We found that watershed size can affect the regression model performance both directly and indirectly. Along with the indirect effect through interwatershed heterogeneity, watershed size can directly affect the model performance over the watersheds varying in size. We also found that the regression model performance can be more significantly affected by other physiographic properties shaping nitrogen delivery effectiveness than the watershed land-cover heterogeneity. This study contrasts with many existing studies because it goes beyond hypothesis formulation based on empirical observations and into hypothesis testing to explore the fundamental mechanism.

Regression: The Apple Does Not Fall Far From the Tree.

PubMed

Vetter, Thomas R; Schober, Patrick

2018-05-15

Researchers and clinicians are frequently interested in either: (1) assessing whether there is a relationship or association between 2 or more variables and quantifying this association; or (2) determining whether 1 or more variables can predict another variable. The strength of such an association is mainly described by the correlation. However, regression analysis and regression models can be used not only to identify whether there is a significant relationship or association between variables but also to generate estimations of such a predictive relationship between variables. This basic statistical tutorial discusses the fundamental concepts and techniques related to the most common types of regression analysis and modeling, including simple linear regression, multiple regression, logistic regression, ordinal regression, and Poisson regression, as well as the common yet often underrecognized phenomenon of regression toward the mean. The various types of regression analysis are powerful statistical techniques, which when appropriately applied, can allow for the valid interpretation of complex, multifactorial data. Regression analysis and models can assess whether there is a relationship or association between 2 or more observed variables and estimate the strength of this association, as well as determine whether 1 or more variables can predict another variable. Regression is thus being applied more commonly in anesthesia, perioperative, critical care, and pain research. However, it is crucial to note that regression can identify plausible risk factors; it does not prove causation (a definitive cause and effect relationship). The results of a regression analysis instead identify independent (predictor) variable(s) associated with the dependent (outcome) variable. As with other statistical methods, applying regression requires that certain assumptions be met, which can be tested with specific diagnostics.

Comparison of modeling methods to predict the spatial distribution of deep-sea coral and sponge in the Gulf of Alaska

NASA Astrophysics Data System (ADS)

Rooper, Christopher N.; Zimmermann, Mark; Prescott, Megan M.

2017-08-01

Deep-sea coral and sponge ecosystems are widespread throughout most of Alaska's marine waters, and are associated with many different species of fishes and invertebrates. These ecosystems are vulnerable to the effects of commercial fishing activities and climate change. We compared four commonly used species distribution models (general linear models, generalized additive models, boosted regression trees and random forest models) and an ensemble model to predict the presence or absence and abundance of six groups of benthic invertebrate taxa in the Gulf of Alaska. All four model types performed adequately on training data for predicting presence and absence, with regression forest models having the best overall performance measured by the area under the receiver-operating-curve (AUC). The models also performed well on the test data for presence and absence with average AUCs ranging from 0.66 to 0.82. For the test data, ensemble models performed the best. For abundance data, there was an obvious demarcation in performance between the two regression-based methods (general linear models and generalized additive models), and the tree-based models. The boosted regression tree and random forest models out-performed the other models by a wide margin on both the training and testing data. However, there was a significant drop-off in performance for all models of invertebrate abundance ( 50%) when moving from the training data to the testing data. Ensemble model performance was between the tree-based and regression-based methods. The maps of predictions from the models for both presence and abundance agreed very well across model types, with an increase in variability in predictions for the abundance data. We conclude that where data conforms well to the modeled distribution (such as the presence-absence data and binomial distribution in this study), the four types of models will provide similar results, although the regression-type models may be more consistent with biological theory. For data with highly zero-inflated distributions and non-normal distributions such as the abundance data from this study, the tree-based methods performed better. Ensemble models that averaged predictions across the four model types, performed better than the GLM or GAM models but slightly poorer than the tree-based methods, suggesting ensemble models might be more robust to overfitting than tree methods, while mitigating some of the disadvantages in predictive performance of regression methods.

Wavelet regression model in forecasting crude oil price

NASA Astrophysics Data System (ADS)

Hamid, Mohd Helmie; Shabri, Ani

2017-05-01

This study presents the performance of wavelet multiple linear regression (WMLR) technique in daily crude oil forecasting. WMLR model was developed by integrating the discrete wavelet transform (DWT) and multiple linear regression (MLR) model. The original time series was decomposed to sub-time series with different scales by wavelet theory. Correlation analysis was conducted to assist in the selection of optimal decomposed components as inputs for the WMLR model. The daily WTI crude oil price series has been used in this study to test the prediction capability of the proposed model. The forecasting performance of WMLR model were also compared with regular multiple linear regression (MLR), Autoregressive Moving Average (ARIMA) and Generalized Autoregressive Conditional Heteroscedasticity (GARCH) using root mean square errors (RMSE) and mean absolute errors (MAE). Based on the experimental results, it appears that the WMLR model performs better than the other forecasting technique tested in this study.

Modeling brook trout presence and absence from landscape variables using four different analytical methods

USGS Publications Warehouse

Steen, Paul J.; Passino-Reader, Dora R.; Wiley, Michael J.

2006-01-01

As a part of the Great Lakes Regional Aquatic Gap Analysis Project, we evaluated methodologies for modeling associations between fish species and habitat characteristics at a landscape scale. To do this, we created brook trout Salvelinus fontinalis presence and absence models based on four different techniques: multiple linear regression, logistic regression, neural networks, and classification trees. The models were tested in two ways: by application to an independent validation database and cross-validation using the training data, and by visual comparison of statewide distribution maps with historically recorded occurrences from the Michigan Fish Atlas. Although differences in the accuracy of our models were slight, the logistic regression model predicted with the least error, followed by multiple regression, then classification trees, then the neural networks. These models will provide natural resource managers a way to identify habitats requiring protection for the conservation of fish species.

Bivariate least squares linear regression: Towards a unified analytic formalism. I. Functional models

NASA Astrophysics Data System (ADS)

Caimmi, R.

2011-08-01

Concerning bivariate least squares linear regression, the classical approach pursued for functional models in earlier attempts ( York, 1966, 1969) is reviewed using a new formalism in terms of deviation (matrix) traces which, for unweighted data, reduce to usual quantities leaving aside an unessential (but dimensional) multiplicative factor. Within the framework of classical error models, the dependent variable relates to the independent variable according to the usual additive model. The classes of linear models considered are regression lines in the general case of correlated errors in X and in Y for weighted data, and in the opposite limiting situations of (i) uncorrelated errors in X and in Y, and (ii) completely correlated errors in X and in Y. The special case of (C) generalized orthogonal regression is considered in detail together with well known subcases, namely: (Y) errors in X negligible (ideally null) with respect to errors in Y; (X) errors in Y negligible (ideally null) with respect to errors in X; (O) genuine orthogonal regression; (R) reduced major-axis regression. In the limit of unweighted data, the results determined for functional models are compared with their counterparts related to extreme structural models i.e. the instrumental scatter is negligible (ideally null) with respect to the intrinsic scatter ( Isobe et al., 1990; Feigelson and Babu, 1992). While regression line slope and intercept estimators for functional and structural models necessarily coincide, the contrary holds for related variance estimators even if the residuals obey a Gaussian distribution, with the exception of Y models. An example of astronomical application is considered, concerning the [O/H]-[Fe/H] empirical relations deduced from five samples related to different stars and/or different methods of oxygen abundance determination. For selected samples and assigned methods, different regression models yield consistent results within the errors (∓ σ) for both heteroscedastic and homoscedastic data. Conversely, samples related to different methods produce discrepant results, due to the presence of (still undetected) systematic errors, which implies no definitive statement can be made at present. A comparison is also made between different expressions of regression line slope and intercept variance estimators, where fractional discrepancies are found to be not exceeding a few percent, which grows up to about 20% in the presence of large dispersion data. An extension of the formalism to structural models is left to a forthcoming paper.

Parsimonious estimation of the Wechsler Memory Scale, Fourth Edition demographically adjusted index scores: immediate and delayed memory.

PubMed

Miller, Justin B; Axelrod, Bradley N; Schutte, Christian

2012-01-01

The recent release of the Wechsler Memory Scale Fourth Edition contains many improvements from a theoretical and administration perspective, including demographic corrections using the Advanced Clinical Solutions. Although the administration time has been reduced from previous versions, a shortened version may be desirable in certain situations given practical time limitations in clinical practice. The current study evaluated two- and three-subtest estimations of demographically corrected Immediate and Delayed Memory index scores using both simple arithmetic prorating and regression models. All estimated values were significantly associated with observed index scores. Use of Lin's Concordance Correlation Coefficient as a measure of agreement showed a high degree of precision and virtually zero bias in the models, although the regression models showed a stronger association than prorated models. Regression-based models proved to be more accurate than prorated estimates with less dispersion around observed values, particularly when using three subtest regression models. Overall, the present research shows strong support for estimating demographically corrected index scores on the WMS-IV in clinical practice with an adequate performance using arithmetically prorated models and a stronger performance using regression models to predict index scores.

An optimal sample data usage strategy to minimize overfitting and underfitting effects in regression tree models based on remotely-sensed data

USGS Publications Warehouse

Gu, Yingxin; Wylie, Bruce K.; Boyte, Stephen; Picotte, Joshua J.; Howard, Danny; Smith, Kelcy; Nelson, Kurtis

2016-01-01

Regression tree models have been widely used for remote sensing-based ecosystem mapping. Improper use of the sample data (model training and testing data) may cause overfitting and underfitting effects in the model. The goal of this study is to develop an optimal sampling data usage strategy for any dataset and identify an appropriate number of rules in the regression tree model that will improve its accuracy and robustness. Landsat 8 data and Moderate-Resolution Imaging Spectroradiometer-scaled Normalized Difference Vegetation Index (NDVI) were used to develop regression tree models. A Python procedure was designed to generate random replications of model parameter options across a range of model development data sizes and rule number constraints. The mean absolute difference (MAD) between the predicted and actual NDVI (scaled NDVI, value from 0–200) and its variability across the different randomized replications were calculated to assess the accuracy and stability of the models. In our case study, a six-rule regression tree model developed from 80% of the sample data had the lowest MAD (MADtraining = 2.5 and MADtesting = 2.4), which was suggested as the optimal model. This study demonstrates how the training data and rule number selections impact model accuracy and provides important guidance for future remote-sensing-based ecosystem modeling.

Precision Efficacy Analysis for Regression.

ERIC Educational Resources Information Center

Brooks, Gordon P.

When multiple linear regression is used to develop a prediction model, sample size must be large enough to ensure stable coefficients. If the derivation sample size is inadequate, the model may not predict well for future subjects. The precision efficacy analysis for regression (PEAR) method uses a cross- validity approach to select sample sizes…

An appraisal of convergence failures in the application of logistic regression model in published manuscripts.

PubMed

Yusuf, O B; Bamgboye, E A; Afolabi, R F; Shodimu, M A

2014-09-01

Logistic regression model is widely used in health research for description and predictive purposes. Unfortunately, most researchers are sometimes not aware that the underlying principles of the techniques have failed when the algorithm for maximum likelihood does not converge. Young researchers particularly postgraduate students may not know why separation problem whether quasi or complete occurs, how to identify it and how to fix it. This study was designed to critically evaluate convergence issues in articles that employed logistic regression analysis published in an African Journal of Medicine and medical sciences between 2004 and 2013. Problems of quasi or complete separation were described and were illustrated with the National Demographic and Health Survey dataset. A critical evaluation of articles that employed logistic regression was conducted. A total of 581 articles was reviewed, of which 40 (6.9%) used binary logistic regression. Twenty-four (60.0%) stated the use of logistic regression model in the methodology while none of the articles assessed model fit. Only 3 (12.5%) properly described the procedures. Of the 40 that used the logistic regression model, the problem of convergence occurred in 6 (15.0%) of the articles. Logistic regression tends to be poorly reported in studies published between 2004 and 2013. Our findings showed that the procedure may not be well understood by researchers since very few described the process in their reports and may be totally unaware of the problem of convergence or how to deal with it.

Determinant of securitization asset pricing in Malaysia

NASA Astrophysics Data System (ADS)

Bakri, M. H.; Ali, R.; Ismail, S.; Sufian, F.; Baharom, A. H.

2014-12-01

Malaysian firms have been reported involve in Asset Back Securities since 1986s where Cagamas is a pioneer. This research aims to examine the factor influencing primary market spread. Least square method and regression analysis are applied for the study period 2004-2012. The result shows one determinants in internal regression model and three determinants in external regression influence or contribute to the primary market spread and are statistically significant in developing the securitization in Malaysia. It can be concluded that transaction size significantly contribute to the determinant primary market spread in internal regression model while liquidity, transaction size and crisis is significant in both regression model. From five hypotheses, three hypotheses support that the determinants have a relationship with primary market spread.

Application of third molar development and eruption models in estimating dental age in Malay sub-adults.

PubMed

Mohd Yusof, Mohd Yusmiaidil Putera; Cauwels, Rita; Deschepper, Ellen; Martens, Luc

2015-08-01

The third molar development (TMD) has been widely utilized as one of the radiographic method for dental age estimation. By using the same radiograph of the same individual, third molar eruption (TME) information can be incorporated to the TMD regression model. This study aims to evaluate the performance of dental age estimation in individual method models and the combined model (TMD and TME) based on the classic regressions of multiple linear and principal component analysis. A sample of 705 digital panoramic radiographs of Malay sub-adults aged between 14.1 and 23.8 years was collected. The techniques described by Gleiser and Hunt (modified by Kohler) and Olze were employed to stage the TMD and TME, respectively. The data was divided to develop three respective models based on the two regressions of multiple linear and principal component analysis. The trained models were then validated on the test sample and the accuracy of age prediction was compared between each model. The coefficient of determination (R²) and root mean square error (RMSE) were calculated. In both genders, adjusted R² yielded an increment in the linear regressions of combined model as compared to the individual models. The overall decrease in RMSE was detected in combined model as compared to TMD (0.03-0.06) and TME (0.2-0.8). In principal component regression, low value of adjusted R(2) and high RMSE except in male were exhibited in combined model. Dental age estimation is better predicted using combined model in multiple linear regression models. Copyright © 2015 Elsevier Ltd and Faculty of Forensic and Legal Medicine. All rights reserved.

Estimation of variance in Cox's regression model with shared gamma frailties.

PubMed

Andersen, P K; Klein, J P; Knudsen, K M; Tabanera y Palacios, R

1997-12-01

The Cox regression model with a shared frailty factor allows for unobserved heterogeneity or for statistical dependence between the observed survival times. Estimation in this model when the frailties are assumed to follow a gamma distribution is reviewed, and we address the problem of obtaining variance estimates for regression coefficients, frailty parameter, and cumulative baseline hazards using the observed nonparametric information matrix. A number of examples are given comparing this approach with fully parametric inference in models with piecewise constant baseline hazards.

Pseudo-second order models for the adsorption of safranin onto activated carbon: comparison of linear and non-linear regression methods.

PubMed

Kumar, K Vasanth

2007-04-02

Kinetic experiments were carried out for the sorption of safranin onto activated carbon particles. The kinetic data were fitted to pseudo-second order model of Ho, Sobkowsk and Czerwinski, Blanchard et al. and Ritchie by linear and non-linear regression methods. Non-linear method was found to be a better way of obtaining the parameters involved in the second order rate kinetic expressions. Both linear and non-linear regression showed that the Sobkowsk and Czerwinski and Ritchie's pseudo-second order models were the same. Non-linear regression analysis showed that both Blanchard et al. and Ho have similar ideas on the pseudo-second order model but with different assumptions. The best fit of experimental data in Ho's pseudo-second order expression by linear and non-linear regression method showed that Ho pseudo-second order model was a better kinetic expression when compared to other pseudo-second order kinetic expressions.

Genetic Programming Transforms in Linear Regression Situations

NASA Astrophysics Data System (ADS)

Castillo, Flor; Kordon, Arthur; Villa, Carlos

The chapter summarizes the use of Genetic Programming (GP) inMultiple Linear Regression (MLR) to address multicollinearity and Lack of Fit (LOF). The basis of the proposed method is applying appropriate input transforms (model respecification) that deal with these issues while preserving the information content of the original variables. The transforms are selected from symbolic regression models with optimal trade-off between accuracy of prediction and expressional complexity, generated by multiobjective Pareto-front GP. The chapter includes a comparative study of the GP-generated transforms with Ridge Regression, a variant of ordinary Multiple Linear Regression, which has been a useful and commonly employed approach for reducing multicollinearity. The advantages of GP-generated model respecification are clearly defined and demonstrated. Some recommendations for transforms selection are given as well. The application benefits of the proposed approach are illustrated with a real industrial application in one of the broadest empirical modeling areas in manufacturing - robust inferential sensors. The chapter contributes to increasing the awareness of the potential of GP in statistical model building by MLR.

Multiple linear regression and regression with time series error models in forecasting PM10 concentrations in Peninsular Malaysia.

PubMed

Ng, Kar Yong; Awang, Norhashidah

2018-01-06

Frequent haze occurrences in Malaysia have made the management of PM 10 (particulate matter with aerodynamic less than 10 μm) pollution a critical task. This requires knowledge on factors associating with PM 10 variation and good forecast of PM 10 concentrations. Hence, this paper demonstrates the prediction of 1-day-ahead daily average PM 10 concentrations based on predictor variables including meteorological parameters and gaseous pollutants. Three different models were built. They were multiple linear regression (MLR) model with lagged predictor variables (MLR1), MLR model with lagged predictor variables and PM 10 concentrations (MLR2) and regression with time series error (RTSE) model. The findings revealed that humidity, temperature, wind speed, wind direction, carbon monoxide and ozone were the main factors explaining the PM 10 variation in Peninsular Malaysia. Comparison among the three models showed that MLR2 model was on a same level with RTSE model in terms of forecasting accuracy, while MLR1 model was the worst.

SCI model structure determination program (OSR) user's guide. [optimal subset regression

NASA Technical Reports Server (NTRS)

1979-01-01

The computer program, OSR (Optimal Subset Regression) which estimates models for rotorcraft body and rotor force and moment coefficients is described. The technique used is based on the subset regression algorithm. Given time histories of aerodynamic coefficients, aerodynamic variables, and control inputs, the program computes correlation between various time histories. The model structure determination is based on these correlations. Inputs and outputs of the program are given.

An Investigation of the Fit of Linear Regression Models to Data from an SAT[R] Validity Study. Research Report 2011-3

ERIC Educational Resources Information Center

Kobrin, Jennifer L.; Sinharay, Sandip; Haberman, Shelby J.; Chajewski, Michael

2011-01-01

This study examined the adequacy of a multiple linear regression model for predicting first-year college grade point average (FYGPA) using SAT[R] scores and high school grade point average (HSGPA). A variety of techniques, both graphical and statistical, were used to examine if it is possible to improve on the linear regression model. The results…

Differentially private distributed logistic regression using private and public data

PubMed Central

2014-01-01

Background Privacy protecting is an important issue in medical informatics and differential privacy is a state-of-the-art framework for data privacy research. Differential privacy offers provable privacy against attackers who have auxiliary information, and can be applied to data mining models (for example, logistic regression). However, differentially private methods sometimes introduce too much noise and make outputs less useful. Given available public data in medical research (e.g. from patients who sign open-consent agreements), we can design algorithms that use both public and private data sets to decrease the amount of noise that is introduced. Methodology In this paper, we modify the update step in Newton-Raphson method to propose a differentially private distributed logistic regression model based on both public and private data. Experiments and results We try our algorithm on three different data sets, and show its advantage over: (1) a logistic regression model based solely on public data, and (2) a differentially private distributed logistic regression model based on private data under various scenarios. Conclusion Logistic regression models built with our new algorithm based on both private and public datasets demonstrate better utility than models that trained on private or public datasets alone without sacrificing the rigorous privacy guarantee. PMID:25079786

Penalized spline estimation for functional coefficient regression models.

PubMed

Cao, Yanrong; Lin, Haiqun; Wu, Tracy Z; Yu, Yan

2010-04-01

The functional coefficient regression models assume that the regression coefficients vary with some "threshold" variable, providing appreciable flexibility in capturing the underlying dynamics in data and avoiding the so-called "curse of dimensionality" in multivariate nonparametric estimation. We first investigate the estimation, inference, and forecasting for the functional coefficient regression models with dependent observations via penalized splines. The P-spline approach, as a direct ridge regression shrinkage type global smoothing method, is computationally efficient and stable. With established fixed-knot asymptotics, inference is readily available. Exact inference can be obtained for fixed smoothing parameter λ, which is most appealing for finite samples. Our penalized spline approach gives an explicit model expression, which also enables multi-step-ahead forecasting via simulations. Furthermore, we examine different methods of choosing the important smoothing parameter λ: modified multi-fold cross-validation (MCV), generalized cross-validation (GCV), and an extension of empirical bias bandwidth selection (EBBS) to P-splines. In addition, we implement smoothing parameter selection using mixed model framework through restricted maximum likelihood (REML) for P-spline functional coefficient regression models with independent observations. The P-spline approach also easily allows different smoothness for different functional coefficients, which is enabled by assigning different penalty λ accordingly. We demonstrate the proposed approach by both simulation examples and a real data application.

Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida

USGS Publications Warehouse

Yobbi, D.K.

2000-01-01

A nonlinear least-squares regression technique for estimation of ground-water flow model parameters was applied to an existing model of the regional aquifer system underlying west-central Florida. The regression technique minimizes the differences between measured and simulated water levels. Regression statistics, including parameter sensitivities and correlations, were calculated for reported parameter values in the existing model. Optimal parameter values for selected hydrologic variables of interest are estimated by nonlinear regression. Optimal estimates of parameter values are about 140 times greater than and about 0.01 times less than reported values. Independently estimating all parameters by nonlinear regression was impossible, given the existing zonation structure and number of observations, because of parameter insensitivity and correlation. Although the model yields parameter values similar to those estimated by other methods and reproduces the measured water levels reasonably accurately, a simpler parameter structure should be considered. Some possible ways of improving model calibration are to: (1) modify the defined parameter-zonation structure by omitting and/or combining parameters to be estimated; (2) carefully eliminate observation data based on evidence that they are likely to be biased; (3) collect additional water-level data; (4) assign values to insensitive parameters, and (5) estimate the most sensitive parameters first, then, using the optimized values for these parameters, estimate the entire data set.

Prediction of dynamical systems by symbolic regression

NASA Astrophysics Data System (ADS)

Quade, Markus; Abel, Markus; Shafi, Kamran; Niven, Robert K.; Noack, Bernd R.

2016-07-01

We study the modeling and prediction of dynamical systems based on conventional models derived from measurements. Such algorithms are highly desirable in situations where the underlying dynamics are hard to model from physical principles or simplified models need to be found. We focus on symbolic regression methods as a part of machine learning. These algorithms are capable of learning an analytically tractable model from data, a highly valuable property. Symbolic regression methods can be considered as generalized regression methods. We investigate two particular algorithms, the so-called fast function extraction which is a generalized linear regression algorithm, and genetic programming which is a very general method. Both are able to combine functions in a certain way such that a good model for the prediction of the temporal evolution of a dynamical system can be identified. We illustrate the algorithms by finding a prediction for the evolution of a harmonic oscillator based on measurements, by detecting an arriving front in an excitable system, and as a real-world application, the prediction of solar power production based on energy production observations at a given site together with the weather forecast.

Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: a case study in the Sarvian area, central Iran

NASA Astrophysics Data System (ADS)

Mansouri, Edris; Feizi, Faranak; Jafari Rad, Alireza; Arian, Mehran

2018-03-01

This paper uses multivariate regression to create a mathematical model for iron skarn exploration in the Sarvian area, central Iran, using multivariate regression for mineral prospectivity mapping (MPM). The main target of this paper is to apply multivariate regression analysis (as an MPM method) to map iron outcrops in the northeastern part of the study area in order to discover new iron deposits in other parts of the study area. Two types of multivariate regression models using two linear equations were employed to discover new mineral deposits. This method is one of the reliable methods for processing satellite images. ASTER satellite images (14 bands) were used as unique independent variables (UIVs), and iron outcrops were mapped as dependent variables for MPM. According to the results of the probability value (p value), coefficient of determination value (R2) and adjusted determination coefficient (Radj2), the second regression model (which consistent of multiple UIVs) fitted better than other models. The accuracy of the model was confirmed by iron outcrops map and geological observation. Based on field observation, iron mineralization occurs at the contact of limestone and intrusive rocks (skarn type).

SPSS macros to compare any two fitted values from a regression model.

PubMed

Weaver, Bruce; Dubois, Sacha

2012-12-01

In regression models with first-order terms only, the coefficient for a given variable is typically interpreted as the change in the fitted value of Y for a one-unit increase in that variable, with all other variables held constant. Therefore, each regression coefficient represents the difference between two fitted values of Y. But the coefficients represent only a fraction of the possible fitted value comparisons that might be of interest to researchers. For many fitted value comparisons that are not captured by any of the regression coefficients, common statistical software packages do not provide the standard errors needed to compute confidence intervals or carry out statistical tests-particularly in more complex models that include interactions, polynomial terms, or regression splines. We describe two SPSS macros that implement a matrix algebra method for comparing any two fitted values from a regression model. The !OLScomp and !MLEcomp macros are for use with models fitted via ordinary least squares and maximum likelihood estimation, respectively. The output from the macros includes the standard error of the difference between the two fitted values, a 95% confidence interval for the difference, and a corresponding statistical test with its p-value.

Evaluation of three statistical prediction models for forensic age prediction based on DNA methylation.

PubMed

Smeers, Inge; Decorte, Ronny; Van de Voorde, Wim; Bekaert, Bram

2018-05-01

DNA methylation is a promising biomarker for forensic age prediction. A challenge that has emerged in recent studies is the fact that prediction errors become larger with increasing age due to interindividual differences in epigenetic ageing rates. This phenomenon of non-constant variance or heteroscedasticity violates an assumption of the often used method of ordinary least squares (OLS) regression. The aim of this study was to evaluate alternative statistical methods that do take heteroscedasticity into account in order to provide more accurate, age-dependent prediction intervals. A weighted least squares (WLS) regression is proposed as well as a quantile regression model. Their performances were compared against an OLS regression model based on the same dataset. Both models provided age-dependent prediction intervals which account for the increasing variance with age, but WLS regression performed better in terms of success rate in the current dataset. However, quantile regression might be a preferred method when dealing with a variance that is not only non-constant, but also not normally distributed. Ultimately the choice of which model to use should depend on the observed characteristics of the data. Copyright © 2018 Elsevier B.V. All rights reserved.

The consequences of ignoring measurement invariance for path coefficients in structural equation models

PubMed Central

Guenole, Nigel; Brown, Anna

2014-01-01

We report a Monte Carlo study examining the effects of two strategies for handling measurement non-invariance – modeling and ignoring non-invariant items – on structural regression coefficients between latent variables measured with item response theory models for categorical indicators. These strategies were examined across four levels and three types of non-invariance – non-invariant loadings, non-invariant thresholds, and combined non-invariance on loadings and thresholds – in simple, partial, mediated and moderated regression models where the non-invariant latent variable occupied predictor, mediator, and criterion positions in the structural regression models. When non-invariance is ignored in the latent predictor, the focal group regression parameters are biased in the opposite direction to the difference in loadings and thresholds relative to the referent group (i.e., lower loadings and thresholds for the focal group lead to overestimated regression parameters). With criterion non-invariance, the focal group regression parameters are biased in the same direction as the difference in loadings and thresholds relative to the referent group. While unacceptable levels of parameter bias were confined to the focal group, bias occurred at considerably lower levels of ignored non-invariance than was previously recognized in referent and focal groups. PMID:25278911

A Constrained Linear Estimator for Multiple Regression

ERIC Educational Resources Information Center

Davis-Stober, Clintin P.; Dana, Jason; Budescu, David V.

2010-01-01

"Improper linear models" (see Dawes, Am. Psychol. 34:571-582, "1979"), such as equal weighting, have garnered interest as alternatives to standard regression models. We analyze the general circumstances under which these models perform well by recasting a class of "improper" linear models as "proper" statistical models with a single predictor. We…

Using Gamma and Quantile Regressions to Explore the Association between Job Strain and Adiposity in the ELSA-Brasil Study: Does Gender Matter?

PubMed

Fonseca, Maria de Jesus Mendes da; Juvanhol, Leidjaira Lopes; Rotenberg, Lúcia; Nobre, Aline Araújo; Griep, Rosane Härter; Alves, Márcia Guimarães de Mello; Cardoso, Letícia de Oliveira; Giatti, Luana; Nunes, Maria Angélica; Aquino, Estela M L; Chor, Dóra

2017-11-17

This paper explores the association between job strain and adiposity, using two statistical analysis approaches and considering the role of gender. The research evaluated 11,960 active baseline participants (2008-2010) in the ELSA-Brasil study. Job strain was evaluated through a demand-control questionnaire, while body mass index (BMI) and waist circumference (WC) were evaluated in continuous form. The associations were estimated using gamma regression models with an identity link function. Quantile regression models were also estimated from the final set of co-variables established by gamma regression. The relationship that was found varied by analytical approach and gender. Among the women, no association was observed between job strain and adiposity in the fitted gamma models. In the quantile models, a pattern of increasing effects of high strain was observed at higher BMI and WC distribution quantiles. Among the men, high strain was associated with adiposity in the gamma regression models. However, when quantile regression was used, that association was found not to be homogeneous across outcome distributions. In addition, in the quantile models an association was observed between active jobs and BMI. Our results point to an association between job strain and adiposity, which follows a heterogeneous pattern. Modelling strategies can produce different results and should, accordingly, be used to complement one another.

Modelling of binary logistic regression for obesity among secondary students in a rural area of Kedah

NASA Astrophysics Data System (ADS)

Kamaruddin, Ainur Amira; Ali, Zalila; Noor, Norlida Mohd.; Baharum, Adam; Ahmad, Wan Muhamad Amir W.

2014-07-01

Logistic regression analysis examines the influence of various factors on a dichotomous outcome by estimating the probability of the event's occurrence. Logistic regression, also called a logit model, is a statistical procedure used to model dichotomous outcomes. In the logit model the log odds of the dichotomous outcome is modeled as a linear combination of the predictor variables. The log odds ratio in logistic regression provides a description of the probabilistic relationship of the variables and the outcome. In conducting logistic regression, selection procedures are used in selecting important predictor variables, diagnostics are used to check that assumptions are valid which include independence of errors, linearity in the logit for continuous variables, absence of multicollinearity, and lack of strongly influential outliers and a test statistic is calculated to determine the aptness of the model. This study used the binary logistic regression model to investigate overweight and obesity among rural secondary school students on the basis of their demographics profile, medical history, diet and lifestyle. The results indicate that overweight and obesity of students are influenced by obesity in family and the interaction between a student's ethnicity and routine meals intake. The odds of a student being overweight and obese are higher for a student having a family history of obesity and for a non-Malay student who frequently takes routine meals as compared to a Malay student.

EMD-regression for modelling multi-scale relationships, and application to weather-related cardiovascular mortality

NASA Astrophysics Data System (ADS)

Masselot, Pierre; Chebana, Fateh; Bélanger, Diane; St-Hilaire, André; Abdous, Belkacem; Gosselin, Pierre; Ouarda, Taha B. M. J.

2018-01-01

In a number of environmental studies, relationships between natural processes are often assessed through regression analyses, using time series data. Such data are often multi-scale and non-stationary, leading to a poor accuracy of the resulting regression models and therefore to results with moderate reliability. To deal with this issue, the present paper introduces the EMD-regression methodology consisting in applying the empirical mode decomposition (EMD) algorithm on data series and then using the resulting components in regression models. The proposed methodology presents a number of advantages. First, it accounts of the issues of non-stationarity associated to the data series. Second, this approach acts as a scan for the relationship between a response variable and the predictors at different time scales, providing new insights about this relationship. To illustrate the proposed methodology it is applied to study the relationship between weather and cardiovascular mortality in Montreal, Canada. The results shed new knowledge concerning the studied relationship. For instance, they show that the humidity can cause excess mortality at the monthly time scale, which is a scale not visible in classical models. A comparison is also conducted with state of the art methods which are the generalized additive models and distributed lag models, both widely used in weather-related health studies. The comparison shows that EMD-regression achieves better prediction performances and provides more details than classical models concerning the relationship.

Improving precision of glomerular filtration rate estimating model by ensemble learning.

PubMed

Liu, Xun; Li, Ningshan; Lv, Linsheng; Fu, Yongmei; Cheng, Cailian; Wang, Caixia; Ye, Yuqiu; Li, Shaomin; Lou, Tanqi

2017-11-09

Accurate assessment of kidney function is clinically important, but estimates of glomerular filtration rate (GFR) by regression are imprecise. We hypothesized that ensemble learning could improve precision. A total of 1419 participants were enrolled, with 1002 in the development dataset and 417 in the external validation dataset. GFR was independently estimated from age, sex and serum creatinine using an artificial neural network (ANN), support vector machine (SVM), regression, and ensemble learning. GFR was measured by 99mTc-DTPA renal dynamic imaging calibrated with dual plasma sample 99mTc-DTPA GFR. Mean measured GFRs were 70.0 ml/min/1.73 m 2 in the developmental and 53.4 ml/min/1.73 m 2 in the external validation cohorts. In the external validation cohort, precision was better in the ensemble model of the ANN, SVM and regression equation (IQR = 13.5 ml/min/1.73 m 2 ) than in the new regression model (IQR = 14.0 ml/min/1.73 m 2 , P < 0.001). The precision of ensemble learning was the best of the three models, but the models had similar bias and accuracy. The median difference ranged from 2.3 to 3.7 ml/min/1.73 m 2 , 30% accuracy ranged from 73.1 to 76.0%, and P was > 0.05 for all comparisons of the new regression equation and the other new models. An ensemble learning model including three variables, the average ANN, SVM, and regression equation values, was more precise than the new regression model. A more complex ensemble learning strategy may further improve GFR estimates.

A regression-based 3-D shoulder rhythm.

PubMed

Xu, Xu; Lin, Jia-hua; McGorry, Raymond W

2014-03-21

In biomechanical modeling of the shoulder, it is important to know the orientation of each bone in the shoulder girdle when estimating the loads on each musculoskeletal element. However, because of the soft tissue overlying the bones, it is difficult to accurately derive the orientation of the clavicle and scapula using surface markers during dynamic movement. The purpose of this study is to develop two regression models which predict the orientation of the clavicle and the scapula. The first regression model uses humerus orientation and individual factors such as age, gender, and anthropometry data as the predictors. The second regression model includes only the humerus orientation as the predictor. Thirty-eight participants performed 118 static postures covering the volume of the right hand reach. The orientation of the thorax, clavicle, scapula and humerus were measured with a motion tracking system. Regression analysis was performed on the Euler angles decomposed from the orientation of each bone from 26 randomly selected participants. The regression models were then validated with the remaining 12 participants. The results indicate that for the first model, the r(2) of the predicted orientation of the clavicle and the scapula ranged between 0.31 and 0.65, and the RMSE obtained from the validation dataset ranged from 6.92° to 10.39°. For the second model, the r(2) ranged between 0.19 and 0.57, and the RMSE obtained from the validation dataset ranged from 6.62° and 11.13°. The derived regression-based shoulder rhythm could be useful in future biomechanical modeling of the shoulder. Copyright © 2014 The Authors. Published by Elsevier Ltd.. All rights reserved.

Adjusting for Confounding in Early Postlaunch Settings: Going Beyond Logistic Regression Models.

PubMed

Schmidt, Amand F; Klungel, Olaf H; Groenwold, Rolf H H

2016-01-01

Postlaunch data on medical treatments can be analyzed to explore adverse events or relative effectiveness in real-life settings. These analyses are often complicated by the number of potential confounders and the possibility of model misspecification. We conducted a simulation study to compare the performance of logistic regression, propensity score, disease risk score, and stabilized inverse probability weighting methods to adjust for confounding. Model misspecification was induced in the independent derivation dataset. We evaluated performance using relative bias confidence interval coverage of the true effect, among other metrics. At low events per coefficient (1.0 and 0.5), the logistic regression estimates had a large relative bias (greater than -100%). Bias of the disease risk score estimates was at most 13.48% and 18.83%. For the propensity score model, this was 8.74% and >100%, respectively. At events per coefficient of 1.0 and 0.5, inverse probability weighting frequently failed or reduced to a crude regression, resulting in biases of -8.49% and 24.55%. Coverage of logistic regression estimates became less than the nominal level at events per coefficient ≤5. For the disease risk score, inverse probability weighting, and propensity score, coverage became less than nominal at events per coefficient ≤2.5, ≤1.0, and ≤1.0, respectively. Bias of misspecified disease risk score models was 16.55%. In settings with low events/exposed subjects per coefficient, disease risk score methods can be useful alternatives to logistic regression models, especially when propensity score models cannot be used. Despite better performance of disease risk score methods than logistic regression and propensity score models in small events per coefficient settings, bias, and coverage still deviated from nominal.

A fuzzy adaptive network approach to parameter estimation in cases where independent variables come from an exponential distribution

NASA Astrophysics Data System (ADS)

Dalkilic, Turkan Erbay; Apaydin, Aysen

2009-11-01

In a regression analysis, it is assumed that the observations come from a single class in a data cluster and the simple functional relationship between the dependent and independent variables can be expressed using the general model; Y=f(X)+[epsilon]. However; a data cluster may consist of a combination of observations that have different distributions that are derived from different clusters. When faced with issues of estimating a regression model for fuzzy inputs that have been derived from different distributions, this regression model has been termed the [`]switching regression model' and it is expressed with . Here li indicates the class number of each independent variable and p is indicative of the number of independent variables [J.R. Jang, ANFIS: Adaptive-network-based fuzzy inference system, IEEE Transaction on Systems, Man and Cybernetics 23 (3) (1993) 665-685; M. Michel, Fuzzy clustering and switching regression models using ambiguity and distance rejects, Fuzzy Sets and Systems 122 (2001) 363-399; E.Q. Richard, A new approach to estimating switching regressions, Journal of the American Statistical Association 67 (338) (1972) 306-310]. In this study, adaptive networks have been used to construct a model that has been formed by gathering obtained models. There are methods that suggest the class numbers of independent variables heuristically. Alternatively, in defining the optimal class number of independent variables, the use of suggested validity criterion for fuzzy clustering has been aimed. In the case that independent variables have an exponential distribution, an algorithm has been suggested for defining the unknown parameter of the switching regression model and for obtaining the estimated values after obtaining an optimal membership function, which is suitable for exponential distribution.

Determining factors influencing survival of breast cancer by fuzzy logistic regression model.

PubMed

Nikbakht, Roya; Bahrampour, Abbas

2017-01-01

Fuzzy logistic regression model can be used for determining influential factors of disease. This study explores the important factors of actual predictive survival factors of breast cancer's patients. We used breast cancer data which collected by cancer registry of Kerman University of Medical Sciences during the period of 2000-2007. The variables such as morphology, grade, age, and treatments (surgery, radiotherapy, and chemotherapy) were applied in the fuzzy logistic regression model. Performance of model was determined in terms of mean degree of membership (MDM). The study results showed that almost 41% of patients were in neoplasm and malignant group and more than two-third of them were still alive after 5-year follow-up. Based on the fuzzy logistic model, the most important factors influencing survival were chemotherapy, morphology, and radiotherapy, respectively. Furthermore, the MDM criteria show that the fuzzy logistic regression have a good fit on the data (MDM = 0.86). Fuzzy logistic regression model showed that chemotherapy is more important than radiotherapy in survival of patients with breast cancer. In addition, another ability of this model is calculating possibilistic odds of survival in cancer patients. The results of this study can be applied in clinical research. Furthermore, there are few studies which applied the fuzzy logistic models. Furthermore, we recommend using this model in various research areas.