Growing gaps: The importance of income and family for educational inequalities in mortality among Swedish men and women 1990-2009.

PubMed

Östergren, Olof

2015-08-01

Although absolute levels of mortality have decreased among Swedish men and women in recent decades, educational inequalities in mortality have increased, especially among women. The aim of this study is to disentangle the role of income and family type in educational inequalities in mortality in Sweden during 1990-2009, focusing on gender differences. Data on individuals born in Sweden between the ages of 30 and 74 years were collected from total population registries, covering a total of 529,275 deaths and 729 million person-months. Temporary life expectancies (age 30-74 years) by education were calculated using life tables, and rate ratios were estimated with Poisson regression with robust standard errors. Temporary life expectancy improved among all groups except low educated women. Relative educational inequalities in mortality (RRs) increased from 1.79 to 1.98 among men and from 1.78 to 2.10 among women. Variation in family type explained some of the inequalities among men, but not among women, and did not contribute to the trend. Variation in income explained a larger part of the educational inequalities among men compared to women and also explained the increase in educational inequalities in mortality among men and women. Increasing educational inequalities in mortality in Sweden may be attributed to the increase in income inequalities in mortality. © 2015 the Nordic Societies of Public Health.

Do people die from income inequality of a decade ago?

PubMed

Zheng, Hui

2012-07-01

The long-term impact of income inequality on health has not been fully explored in the current literature. Until now, 4 studies have examined the lagged effect on population/group mortality rate at the aggregate level, and 7 studies have investigated the effect of income inequality on subsequent individual mortality risk within a restricted time period. These 11 studies suffer from the same limitation: they do not simultaneously control for a series of preceding income inequalities. The results of these studies are also mixed. Using the U.S. National Health Interview Survey data 1986-2004 with mortality follow-up data 1986-2006 (n = 701,179), this study investigates the lagged effects of national-level income inequality on individual mortality risk. These effects are tested by using a discrete-time hazard model where contemporaneous and preceding income inequalities are treated as time-varying person-specific covariates, which then track a series of income inequalities that a respondent faces from the survey year until s/he dies or is censored. Findings suggest that income inequality did not have an instantaneous detrimental effect on individual mortality risk, but began exerting its influence 5 years later. This effect peaked at 7 years, and then diminished after 12 years. This pattern generally held for three measures of income inequality: the Gini coefficient, the Atkinson index, and the Theil entropy index. The findings suggest that income inequality has a long-term detrimental impact on individual mortality risk. This study also explains discrepancies in the existant literature. Copyright © 2012 Elsevier Ltd. All rights reserved.

Do racial inequities in infant mortality correspond to variations in societal conditions? A study of state-level income inequality in the U.S., 1992-2007.

PubMed

Siddiqi, Arjumand; Jones, Marcella K; Bruce, Donald J; Erwin, Paul C

2016-09-01

Prior studies have examined the association between income inequality and overall infant mortality rates (IMR). We examine effects of income inequality on racial inequities in IMR over the period 1992-2007 in the U.S. Race-specific state IMR data were obtained from 1992 to 2007, from which absolute and relative IMR inequities were calculated. Fixed and random effects models, adjusted for state-level median income, percent poverty, percent high school graduates, and unemployment rate, were used to determine contemporaneous and lagged state-level associations between income inequality and racial IMR inequities. Racial IMR inequities varied significantly across the U.S. Contemporaneous income inequality was negatively associated with white IMR only. Two-year lagged income inequality was negatively associated with black IMR and had the most pronounced effect on racial inequities in IMR. Future studies should consider lagged effects of income inequality on IMR and other health outcomes, and should examine other potential societal conditions that may account for state-level variations in racial IMR inequities. Copyright © 2016 Elsevier Ltd. All rights reserved.

Does higher income inequality adversely influence infant mortality rates? Reconciling descriptive patterns and recent research findings.

PubMed

Siddiqi, Arjumand; Jones, Marcella K; Erwin, Paul Campbell

2015-04-01

As the struggle continues to explain the relatively high rates of infant mortality (IMR) exhibited in the United States, a renewed emphasis is being placed on the role of possible 'contextual' determinants. Cross-sectional and short time-series studies have found that higher income inequality is associated with higher IMR at the state level. Yet, descriptively, the longer-term trends in income inequality and in IMR seem to call such results into question. To assess whether, over the period 1990-2007, state-level income inequality is associated with state-level IMR; to examine whether the overall effect of income inequality on IMR over this period varies by state; to test whether the association between income inequality and IMR varies across this time period. IMR data--number of deaths per 1000 live births in a given state and year--were obtained from the U.S. Centers for Disease Control Wonder database. Income inequality was measured using the Gini coefficient, which varies from zero (complete equality) to 100 (complete inequality). Covariates included state-level poverty rate, median income, and proportion of high school graduates. Fixed and random effects regressions were conducted to test hypotheses. Fixed effects models suggested that, overall, during the period 1990-2007, income inequality was inversely associated with IMR (β = -0.07, SE (0.01)). Random effects models suggested that when the relationship was allowed to vary at the state-level, it remained inverse (β = -0.05, SE (0.01)). However, an interaction between income inequality and time suggested that, as time increased, the effect of income inequality had an increasingly positive association with total IMR (β = 0.009, SE (0.002)). The influence of state income inequality on IMR is dependent on time, which may proxy for time-dependent aspects of societal context. Copyright © 2015 Elsevier Ltd. All rights reserved.

Income Inequality and Mortality: Results From a Longitudinal Study of Older Residents of São Paulo, Brazil

PubMed Central

Chiavegatto Filho, Alexandre D. P.; Lebrão, Maria Lúcia; Kawachi, Ichiro

2013-01-01

Objectives. We determined whether community-level income inequality was associated with mortality among a cohort of older adults in São Paulo, Brazil. Methods. We analyzed the Health, Well-Being, and Aging (SABE) survey, a sample of community-dwelling older adults in São Paulo (2000–2007). We used survival analysis to examine the relationship between income inequality and risk for mortality among older individuals living in 49 districts of São Paulo. Results. Compared with individuals living in the most equal districts (lowest Gini quintile), rates of mortality were higher for those living in the second (adjusted hazard ratio [AHR] = 1.44, 95% confidence interval [CI] = 0.87, 2.41), third (AHR = 1.96, 95% CI = 1.20, 3.20), fourth (AHR = 1.34, 95% CI = 0.81, 2.20), and fifth quintile (AHR = 1.74, 95% CI = 1.10, 2.74). When we imputed missing data and used poststratification weights, the adjusted hazard ratios for quintiles 2 through 5 were 1.72 (95% CI = 1.13, 2.63), 1.41 (95% CI = 0.99, 2.05), 1.13 (95% = 0.75, 1.70) and 1.30 (95% CI = 0.90, 1.89), respectively. Conclusions. We did not find a dose–response relationship between area-level income inequality and mortality. Our findings could be consistent with either a threshold association of income inequality and mortality or little overall association. PMID:23865709

Wider income gaps, wider waistbands? An ecological study of obesity and income inequality.

PubMed

Pickett, Kate E; Kelly, Shona; Brunner, Eric; Lobstein, Tim; Wilkinson, Richard G

2005-08-01

To see if obesity, deaths from diabetes, and daily calorie intake are associated with income inequality among developed countries. Ecological study of 21 developed countries.Countries: Countries were eligible for inclusion if they were among the top 50 countries with the highest gross national income per capita by purchasing power parity in 2002, had a population over 3 million, and had available data on income inequality and outcome measures. Percentage of obese (body mass index >30) adult men and women, diabetes mortality rates, and calorie consumption per capita per day. Adjusting for gross national per capita income, income inequality was positively correlated with the percentage of obese men (r = 0.48, p = 0.03), the percentage of obese women (r = 0.62, p = 0.003), diabetes mortality rates per 1 million people (r = 0.46, p = 0.04), and average calories per capita per day (r = 0.50, p = 0.02). Correlations were stronger if analyses were weighted for population size. The effect of income inequality on female obesity was independent of average calorie intake. Obesity, diabetes mortality, and calorie consumption were associated with income inequality in developed countries. Increased nutritional problems may be a consequence of the psychosocial impact of living in a more hierarchical society.

Income Inequality and Child Mortality in Wealthy Nations.

PubMed

Collison, David

2016-01-01

This chapter presents evidence of a relationship between child mortality data and socio-economic factors in relatively wealthy nations. The original study on child mortality that is reported here, which first appeared in a UK medical journal, was undertaken in a school of business by academics with accounting and finance backgrounds. The rationale explaining why academics from such disciplines were drawn to investigate these issues is given in the first part of the chapter. The findings related to child mortality data were identified as a special case of a wide range of social and health indicators that are systematically related to the different organisational approaches of capitalist societies. In particular, the so-called Anglo-American countries show consistently poor outcomes over a number of indicators, including child mortality. Considerable evidence has been adduced in the literature to show the importance of income inequality as an explanation for such findings. An important part of the chapter is the overview of a relatively recent publication in the epidemiological literature entitled The Spirit Level: Why Equality Is Better for Everyone, which was written by Wilkinson and Pickett. © 2016 S. Karger AG, Basel.

Wider income gaps, wider waistbands? An ecological study of obesity and income inequality

PubMed Central

Pickett, K.; Kelly, S.; Brunner, E.; Lobstein, T.; Wilkinson, R.

2005-01-01

Objectives: To see if obesity, deaths from diabetes, and daily calorie intake are associated with income inequality among developed countries. Design: Ecological study of 21 developed countries. Countries: Countries were eligible for inclusion if they were among the top 50 countries with the highest gross national income per capita by purchasing power parity in 2002, had a population over 3 million, and had available data on income inequality and outcome measures. Main outcome measures: Percentage of obese (body mass index >30) adult men and women, diabetes mortality rates, and calorie consumption per capita per day. Results: Adjusting for gross national per capita income, income inequality was positively correlated with the percentage of obese men (r = 0.48, p = 0.03), the percentage of obese women (r = 0.62, p = 0.003), diabetes mortality rates per 1 million people (r = 0.46, p = 0.04), and average calories per capita per day (r = 0.50, p = 0.02). Correlations were stronger if analyses were weighted for population size. The effect of income inequality on female obesity was independent of average calorie intake. Conclusions: Obesity, diabetes mortality, and calorie consumption were associated with income inequality in developed countries. Increased nutritional problems may be a consequence of the psychosocial impact of living in a more hierarchical society. PMID:16020644

Educational inequalities in mortality are larger at low levels of income: A register-based study on premature mortality among 2.3 million Swedes, 2006-2009.

PubMed

Östergren, Olof

2018-08-01

Education develops skills that help individuals use available material resources more efficiently. When material resources are scarce, each decision becomes comparatively more important. Education may also protect from health-related income decline, since the highly educated tend to work in occupations with lower physical demands. Educational inequalities in health may, therefore, be more pronounced at lower levels of income. The aim of this study is to assess whether the shape of the income gradient in premature mortality depends on the level of education. Total population data on education, income and mortality was obtained by linking several Swedish registers. Income was defined as five-year average disposable household income for ages 35-64 and mortality follow-up covered the period 2006-2009. The final population comprised 2.3 million individuals, 6.2 million person-years and 14,362 deaths. Income was modeled using splines in order to allow variation in the functional form of the association across educational categories. Poisson regression with robust standard errors was used. The curvilinear shape of the association between income and mortality was more pronounced among those with a low education. Both absolute and relative educational inequalities in premature mortality tended to be larger at low levels of income. The greatest income differences in mortality were observed for those with a low education and the smallest for the highly educated. Education and income interact as predictors of mortality. Education is a more important factor for health when access to material resources is limited.

The global impact of income inequality on health by age: an observational study.

PubMed

Dorling, Danny; Mitchell, Richard; Pearce, Jamie

2007-10-27

To explore whether the apparent impact of income inequality on health, which has been shown for wealthier nations, is replicated worldwide, and whether the impact varies by age. Observational study. 126 countries of the world for which complete data on income inequality and mortality by age and sex were available around the year 2002 (including 94.4% of world human population). Data on mortality were from the World Health Organization and income data were taken from the annual reports of the United Nations Development Programme. Mortality in 5-year age bands for each sex by income inequality and income level. At ages 15-29 and 25-39 variations in income inequality seem more closely correlated with mortality worldwide than do variations in material wealth. This relation is especially strong among the poorest countries in Africa. Mortality is higher for a given level of overall income in more unequal nations. Income inequality seems to have an influence worldwide, especially for younger adults. Social inequality seems to have a universal negative impact on health.

Ecological analysis of the health effects of income inequality in Argentina.

PubMed

De Maio, Fernando G

2008-05-01

Despite a large body of empirical literature, a consensus has not been reached concerning the health effects of income inequality. This study contributes to ongoing debates by examining the robustness of the income inequality-population health relationship in Argentina, using five different income inequality indexes (each sensitive to inequalities in differing parts of the income spectrum) and five measures of population health. Cross-sectional, ecological study. Income and self-reported morbidity data from Argentina's 2001 Encuesta de Condiciones de Vida (Survey of living conditions) were analysed at the provincial level. Provincial rates of male/female life expectancy and infant mortality were drawn from the Instituto Nacional de Estadistica y Censos database. Life expectancy was correlated in the expected direction with provincial-level income inequality (operationalized as the Gini coefficient) for both males (r=-0.55, P<0.01) and females (r=-0.61, P<0.01), but this association was not robust for all five income inequality indexes. In contrast, infant mortality, self-reported poor health and self-reported activity limitation were not correlated with any of the income inequality indexes. This study adds further complexity to the literature on the health effects of income inequality by highlighting the important effects of operational definitions. Mortality and morbidity data cannot be used as reasonably interchangeable variables (a common practice in this literature), and the choice of income inequality indicator may influence the results.

Income inequality, the psychosocial environment, and health: comparisons of wealthy nations.

PubMed

Lynch, J; Smith, G D; Hillemeier, M; Shaw, M; Raghunathan, T; Kaplan, G

2001-07-21

The theory that income inequality and characteristics of the psychosocial environment (indexed by such things as social capital and sense of control over life's circumstances) are key determinants of health and could account for health differences between countries has become influential in health inequalities research and for population health policy. We examined cross-sectional associations between income inequality and low birthweight, life expectancy, self-rated health, and age-specific and cause-specific mortality among countries providing data in wave III (around 1989-92) of the Luxembourg Income Study. We also used data from the 1990-91 wave of the World Values Survey (WVS). We obtained life expectancy, mortality, and low birthweight data from the WHO Statistical Information System. Among the countries studied, higher income inequality was strongly associated with greater infant mortality (r=0.69, p=0.004 for women; r=0.74, p=0.002 for men). Associations between income inequality and mortality declined with age at death, and then reversed among those aged 65 years and older. Income inequality was inconsistently associated with specific causes of death and was not associated with coronary heart disease (CHD), breast or prostate cancer, cirrhosis, or diabetes mortality. Countries that had greater trade union membership and political representation by women had better child mortality profiles. Differences between countries in levels of social capital showed generally weak and somewhat inconsistent associations with cause-specific and age-specific mortality. Income inequality and characteristics of the psychosocial environment like trust, control, and organisational membership do not seem to be key factors in understanding health differences between these wealthy countries. The associations that do exist are largely limited to child health outcomes and cirrhosis. Explanations for between-country differences in health will require an appreciation of the complex

Socioeconomic inequalities and mortality trends in BRICS, 1990-2010.

PubMed

Mújica, Oscar J; Vázquez, Enrique; Duarte, Elisabeth C; Cortez-Escalante, Juan J; Molina, Joaquin; Barbosa da Silva Junior, Jarbas

2014-06-01

To explore the presence and magnitude of--and change in--socioeconomic and health inequalities between and within Brazil, the Russian Federation, India, China and South Africa--the countries known as BRICS--between 1990 and 2010. Comparable data on socioeconomic and health indicators, at both country and primary subnational levels, were obtained from publicly available sources. Health inequalities between and within countries were identified and summarized by using standard gap and gradient metrics. Four of the BRICS countries showed increases in both income level and income inequality between 1990 and 2010. The exception was Brazil, where income inequality decreased over the same period. Between-country inequalities in level of education and access to sanitation remained mostly unchanged but the largest between-country difference in mean life expectancy increased, from 9 years in 1990 to 20 years in 2010. Throughout the study period, there was disproportionality in the burden of disease between BRICS. However, the national infant mortality rate fell substantially over the study period in all five countries. In Brazil and China, the magnitude of subnational income-related inequalities in infant mortality, both absolute and relative, also decreased substantially. Despite the economic prosperity and general improvements in health seen since 1990, profound inequalities in health persist both within and between BRICS. However, the substantial reductions observed--within Brazil and China--in the inequalities in income-related levels of infant mortality are encouraging.

Socioeconomic inequality in neonatal mortality in countries of low and middle income: a multicountry analysis.

PubMed

McKinnon, Britt; Harper, Sam; Kaufman, Jay S; Bergevin, Yves

2014-03-01

Neonatal mortality rates (NMRs) in countries of low and middle income have been only slowly decreasing; coverage of essential maternal and newborn health services needs to increase, particularly for disadvantaged populations. Our aim was to produce comparable estimates of changes in socioeconomic inequalities in NMR in the past two decades across these countries. We used data from Demographic and Health Surveys (DHS) for countries in which a survey was done in 2008 or later and one about 10 years previously. We measured absolute inequalities with the slope index of inequality and relative inequalities with the relative index of inequality. We used an asset-based wealth index and maternal education as measures of socioeconomic position and summarised inequality estimates for all included countries with random-effects meta-analysis. 24 low-income and middle-income countries were eligible for inclusion. In most countries, absolute and relative wealth-related and educational inequalities in NMR decreased between survey 1 and survey 2. In five countries (Cameroon, Nigeria, Malawi, Mozambique, and Uganda), the difference in NMR between the top and bottom of the wealth distribution was reduced by more than two neonatal deaths per 1000 livebirths per year. By contrast, wealth-related inequality increased by more than 1·5 neonatal deaths per 1000 livebirths per year in Ethiopia and Cambodia. Patterns of change in absolute and relative educational inequalities in NMR were similar to those of wealth-related NMR inequalities, although the size of educational inequalities tended to be slightly larger. Socioeconomic inequality in NMR seems to have decreased in the past two decades in most countries of low and middle income. However, a substantial survival advantage remains for babies born into wealthier households with a high educational level, which should be considered in global efforts to further reduce NMR. Canadian Institutes of Health Research. Copyright © 2014 Mc

Income inequality and income segregation.

PubMed

Reardon, Sean F; Bischoff, Kendra

2011-01-01

This article investigates how the growth in income inequality from 1970 to 2000 affected patterns of income segregation along three dimensions: the spatial segregation of poverty and affluence, race-specific patterns of income segregation, and the geographic scale of income segregation. The evidence reveals a robust relationship between income inequality and income segregation, an effect that is larger for black families than for white families. In addition, income inequality affects income segregation primarily through its effect on the large-scale spatial segregation of affluence rather than by affecting the spatial segregation of poverty or by altering small-scale patterns of income segregation.

National mortality rates: the impact of inequality?

PubMed

Wilkinson, R G

1992-08-01

Although health is closely associated with income differences within each country there is, at best, only a weak link between national mortality rates and average income among the developed countries. On the other hand, there is evidence of a strong relationship between national mortality rates and the scale of income differences within each society. These three elements are coherent if health is affected less by changes in absolute material standards across affluent populations than it is by relative income or the scale of income differences and the resulting sense of disadvantage within each society. Rather than socioeconomic mortality differentials representing a distribution around given national average mortality rates, it is likely that the degree of income inequality indicates the burden of relative deprivation on national mortality rates.

Income inequality, poverty, and population health: evidence from recent data for the United States.

PubMed

Ram, Rati

2005-12-01

In this study, state-level US data for the years 2000 and 1990 are used to provide additional evidence on the roles of income inequality and poverty in population health. Five main points are noted. First, contrary to the suggestion made in several recent studies, the income inequality parameter is observed to be quite robust and carries statistical significance in mortality equations estimated from several observation sets and a fairly wide variety of specificational choices. Second, the evidence does not indicate that significance of income inequality is lost when education variables are included. Third, similarly, the income inequality parameter shows significance when a race variable is added, and also when both race and urbanization terms are entered. Fourth, while poverty is seen to have some mortality-increasing consequence, the role of income inequality appears stronger. Fifth, income inequality retains statistical significance when a quadratic income term is added and also if the log-log version of a fairly inclusive model is estimated. I therefore suggest that the recent skepticism articulated by several scholars in regard to the robustness of the income inequality parameters in mortality equations estimated from the US data should be reconsidered.

Socioeconomic inequalities and mortality trends in BRICS, 1990–2010

PubMed Central

Mújica, Oscar J; Vázquez, Enrique; Duarte, Elisabeth C; Cortez-Escalante, Juan J; Molina, Joaquin

2014-01-01

Abstract Objective To explore the presence and magnitude of – and change in – socioeconomic and health inequalities between and within Brazil, the Russian Federation, India, China and South Africa – the countries known as BRICS – between 1990 and 2010. Methods Comparable data on socioeconomic and health indicators, at both country and primary subnational levels, were obtained from publicly available sources. Health inequalities between and within countries were identified and summarized by using standard gap and gradient metrics. Findings Four of the BRICS countries showed increases in both income level and income inequality between 1990 and 2010. The exception was Brazil, where income inequality decreased over the same period. Between-country inequalities in level of education and access to sanitation remained mostly unchanged but the largest between-country difference in mean life expectancy increased, from 9 years in 1990 to 20 years in 2010. Throughout the study period, there was disproportionality in the burden of disease between BRICS. However, the national infant mortality rate fell substantially over the study period in all five countries. In Brazil and China, the magnitude of subnational income-related inequalities in infant mortality, both absolute and relative, also decreased substantially. Conclusion Despite the economic prosperity and general improvements in health seen since 1990, profound inequalities in health persist both within and between BRICS. However, the substantial reductions observed – within Brazil and China – in the inequalities in income-related levels of infant mortality are encouraging. PMID:24940014

Income inequality and happiness.

PubMed

Oishi, Shigehiro; Kesebir, Selin; Diener, Ed

2011-09-01

Using General Social Survey data from 1972 to 2008, we found that Americans were on average happier in the years with less national income inequality than in the years with more national income inequality. We further demonstrated that this inverse relation between income inequality and happiness was explained by perceived fairness and general trust. That is, Americans trusted other people less and perceived other people to be less fair in the years with more national income inequality than in the years with less national income inequality. The negative association between income inequality and happiness held for lower-income respondents, but not for higher-income respondents. Most important, we found that the negative link between income inequality and the happiness of lower-income respondents was explained not by lower household income, but by perceived unfairness and lack of trust.

Countries with women inequalities have higher stroke mortality.

PubMed

Kim, Young Dae; Jung, Yo Han; Caso, Valeria; Bushnell, Cheryl D; Saposnik, Gustavo

2017-10-01

Background Stroke outcomes can differ by women's legal or socioeconomic status. Aim We investigated whether differences in women's rights or gender inequalities were associated with stroke mortality at the country-level. Methods We used age-standardized stroke mortality data from 2008 obtained from the World Health Organization. We compared female-to-male stroke mortality ratio and stroke mortality rates in women and men between countries according to 50 indices of women's rights from Women, Business and the Law 2016 and Gender Inequality Index from the Human Development Report by the United Nations Development Programme. We also compared stroke mortality rate and income at the country-level. Results In our study, 176 countries with data available on stroke mortality rate in 2008 and indices of women's rights were included. There were 46 (26.1%) countries where stroke mortality in women was higher than stroke mortality in men. Among them, 29 (63%) countries were located in Sub-Saharan African region. After adjusting by country income level, higher female-to-male stroke mortality ratio was associated with 14 indices of women's rights, including differences in getting a job or opening a bank account, existence of domestic violence legislation, and inequalities in ownership right to property. Moreover, there was a higher female-to-male stroke mortality ratio among countries with higher Gender Inequality Index (r = 0.397, p < 0.001). Gender Inequality Index was more likely to be associated with stroke mortality rate in women than that in men (p < 0.001). Conclusions Our study suggested that the gender inequality status is associated with women's stroke outcomes.

National mortality rates: the impact of inequality?

PubMed Central

Wilkinson, R G

1992-01-01

Although health is closely associated with income differences within each country there is, at best, only a weak link between national mortality rates and average income among the developed countries. On the other hand, there is evidence of a strong relationship between national mortality rates and the scale of income differences within each society. These three elements are coherent if health is affected less by changes in absolute material standards across affluent populations than it is by relative income or the scale of income differences and the resulting sense of disadvantage within each society. Rather than socioeconomic mortality differentials representing a distribution around given national average mortality rates, it is likely that the degree of income inequality indicates the burden of relative deprivation on national mortality rates. PMID:1636827

Healthcare investment and income inequality.

PubMed

Bhattacharjee, Ayona; Shin, Jong Kook; Subramanian, Chetan; Swaminathan, Shailender

2017-12-01

This paper examines how the relative shares of public and private health expenditures impact income inequality. We study a two period overlapping generation's growth model in which longevity is determined by both private and public health expenditure and human capital is the engine of growth. Increased investment in health, reduces mortality, raises return to education and affects income inequality. In such a framework we show that the cross-section earnings inequality is non-decreasing in the private share of health expenditure. We test this prediction empirically using a variable that proxies for the relative intensity of investments (private versus public) using vaccination data from the National Sample Survey Organization for 76 regions in India in the year 1986-87. We link this with region-specific expenditure inequality data for the period 1987-2012. Our empirical findings, though focused on a specific health investment (vaccines), suggest that an increase in the share of the privately provided health care results in higher inequality. Copyright © 2017 Elsevier B.V. All rights reserved.

Stagnant Neonatal Mortality and Persistent Health Inequality in Middle-Income Countries: A Case Study of the Philippines

PubMed Central

Kraft, Aleli D.; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

2013-01-01

Background The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country’s socioeconomic-related child health inequality. Methodology Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Findings Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. Conclusion The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality – that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system – to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child

Stagnant neonatal mortality and persistent health inequality in middle-income countries: a case study of the Philippines.

PubMed

Kraft, Aleli D; Nguyen, Kim-Huong; Jimenez-Soto, Eliana; Hodge, Andrew

2013-01-01

The probability of survival through childhood continues to be unequal in middle-income countries. This study uses data from the Philippines to assess trends in the prevalence and distribution of child mortality and to evaluate the country's socioeconomic-related child health inequality. Using data from four Demographic and Health Surveys we estimated levels and trends of neonatal, infant, and under-five mortality from 1990 to 2007. Mortality estimates at national and subnational levels were produced using both direct and indirect methods. Concentration indices were computed to measure child health inequality by wealth status. Multivariate regression analyses were used to assess the contribution of interventions and socioeconomic factors to wealth-related inequality. Despite substantial reductions in national under-five and infant mortality rates in the early 1990s, the rates of declines have slowed in recent years and neonatal mortality rates remain stubbornly high. Substantial variations across urban-rural, regional, and wealth equity-markers are evident, and suggest that the gaps between the best and worst performing sub-populations will either be maintained or widen in the future. Of the variables tested, recent wealth-related inequalities are found to be strongly associated with social factors (e.g. maternal education), regional location, and access to health services, such as facility-based delivery. The Philippines has achieved substantial progress towards Millennium Development Goal 4, but this success masks substantial inequalities and stagnating neonatal mortality trends. This analysis supports a focus on health interventions of high quality--that is, not just facility-based delivery, but delivery by trained staff at well-functioning facilities and supported by a strong referral system--to re-start the long term decline in neonatal mortality and to reduce persistent within-country inequalities in child health.

Income Inequality in Non-communicable Diseases Mortality among the Regions of the Slovak Republic.

PubMed

Gavurová, Beáta; Kováč, Viliam; Šoltés, Michal; Kot, Sebastian; Majerník, Jaroslav

2017-12-01

A great amount of non-communicable disease deaths poses a threat for all people and therefore represents the challenge for health policy makers, health providers and other health or social policy actors. The aim of this study is to analyse regional differences in non-communicable disease mortality in the Slovak Republic, and to quantify the relationship between mortality and economic indicators of the Slovak regions. Standardised mortality rates adjusted for age, sex, region, and period were calculated applying direct standardisation methods with the European standard population covering the time span from 2005 to 2013. The impact of income indicators on standardised mortality rates was calculated using the panel regression models. The Bratislava region reaches the lowest values of standardised mortality rate for non-communicable diseases for both sexes. On the other side, the Nitra region has the highest standardised mortality rate for non-communicable diseases. Income quintile ratio has the highest effect on mortality, however, the expected positive impact is not confirmed. Gini coefficient at the 0.001 significance level and social benefits at the 0.01 significance level look like the most influencing variables on the standardised mortality rate. By addition of one percentage point of Gini coefficient, mortality rate increases by 148.19 units. When a share of population receiving social benefits increases by one percentage point, the standardised mortality rate will increase by 22.36 units. Non-communicable disease mortality together with income inequalities among the regions of the Slovak Republic highlight the importance of economic impact on population health. Copyright© by the National Institute of Public Health, Prague 2017.

Nonmarital First Births, Marriage, and Income Inequality.

PubMed

Cherlin, Andrew J; Ribar, David; Yasutake, Suzumi

2016-08-01

Many aggregate-level studies suggest a relationship between economic inequality and socio-demographic outcomes such as family formation, health, and mortality; but individual-level evidence is lacking. Nor is there satisfactory evidence on the mechanisms by which inequality may have an effect. We study the determinants of transitions to a nonmarital first birth as a single parent or as a cohabiting parent compared to transitions to marriage prior to a first birth among unmarried, childless young adults in the National Longitudinal Survey of Youth, 1997 cohort, from 1997 to 2011. We include measures of county-group-level household income inequality and of the availability of jobs typically held by high-school graduates and which pay above-poverty wages. We find that greater income inequality is associated with a reduced likelihood of transitioning to marriage prior to a first birth for both women and men. The association between levels of inequality and transitions to marriage can be partially accounted for by the availability of jobs of the type we measured. Some models also suggest that greater income inequality is associated with a reduced likelihood of transitioning to a first birth while cohabiting.

Nonmarital First Births, Marriage, and Income Inequality

PubMed Central

Cherlin, Andrew J.; Ribar, David; Yasutake, Suzumi

2017-01-01

Many aggregate-level studies suggest a relationship between economic inequality and socio-demographic outcomes such as family formation, health, and mortality; but individual-level evidence is lacking. Nor is there satisfactory evidence on the mechanisms by which inequality may have an effect. We study the determinants of transitions to a nonmarital first birth as a single parent or as a cohabiting parent compared to transitions to marriage prior to a first birth among unmarried, childless young adults in the National Longitudinal Survey of Youth, 1997 cohort, from 1997 to 2011. We include measures of county-group-level household income inequality and of the availability of jobs typically held by high-school graduates and which pay above-poverty wages. We find that greater income inequality is associated with a reduced likelihood of transitioning to marriage prior to a first birth for both women and men. The association between levels of inequality and transitions to marriage can be partially accounted for by the availability of jobs of the type we measured. Some models also suggest that greater income inequality is associated with a reduced likelihood of transitioning to a first birth while cohabiting. PMID:29176906

Regional differences of standardised mortality rates for ischemic heart diseases in the Slovak Republic for the period 1996-2013 in the context of income inequality.

PubMed

Gavurová, Beáta; Vagašová, Tatiana

2016-12-01

The aim of paper is to analyse the development of standardised mortality rates for ischemic heart diseases in relation to the income inequality in the regions of Slovakia. This paper assesses different types of income indicators, such as mean equivalised net income per household, Gini coefficient, unemployment rate, at risk of poverty threshold (60 % of national median), S80/S20 and their effect on mortality. Using data from the Slovak mortality database 1996-2013, the method of direct standardisation was applied to eliminate variances resulted from differences in age structures of the population across regions and over time. To examine the relationships between income indicators and standardised mortality rates, we used the tools of descriptive statistics and methods of correlation and regression analysis. At first, we show that Slovakia has the worst values of standardised mortality rates for ischemic heart diseases in EU countries. Secondly, mortality rates are significantly higher for males compared with females. Thirdly, mortality rates are improving from Eastern Slovakia to Western Slovakia; additionally, high differences in the results of variability are seen among Slovak regions. Finally, the unemployment rate, the poverty rate and equivalent disposable income were statistically significant income indicators. Main contribution of paper is to demonstrate regional differences between mortality and income inequality, and to point out the long-term unsatisfactory health outcomes.

The role of income inequality and social policies on income-related health inequalities in Europe.

PubMed

Jutz, Regina

2015-10-31

The aim of the paper is to examine the role of income inequality and redistribution for income-related health inequalities in Europe. This paper contributes in two ways to the literature on macro determinants of socio-economic inequalities in health. First, it widens the distinctive focus of the research field on welfare state regimes to quantifiable measures such as social policy indicators. Second, looking at income differences completes studies on socio-economic health inequalities, which often analyse health inequalities based on educational differences. Using data from the European Values Study (2008/2009), 42 European countries are available for analysis. Country characteristics are derived from SWIID, Eurostat, and ILO and include indicators for income inequality, social policies, and economic performance. The data is analysed by using a two-step hierarchical estimation approach: At the first step-the individual level-the effect of household income on self-assessed health is extracted and introduced as an indicator measuring income-related health inequalities at the second step, the country-level. Individual-level analyses reveal that income-related health inequalities exist all across Europe. Results from country-level analyses show that higher income inequality is significantly positively related to higher health inequalities while social policies do not show significant relations. Nevertheless, the results show the expected negative association between social policies and health inequalities. Economic performance also has a reducing influence on health inequalities. In all models, income inequality was the dominating explanatory effect for health inequalities. The analyses indicate that income inequality has more impact on health inequalities than social policies. On the contrary, social policies seemed to matter to all individuals regardless of socio-economic position since it is significantly positively linked to overall population health. Even though

The associations between US state and local social spending, income inequality, and individual all-cause and cause-specific mortality: The National Longitudinal Mortality Study.

PubMed

Kim, Daniel

2016-03-01

To investigate government state and local spending on public goods and income inequality as predictors of the risks of dying. Data on 431,637 adults aged 30-74 and 375,354 adults aged 20-44 in the 48 contiguous US states were used from the National Longitudinal Mortality Study to estimate the impacts of state and local spending and income inequality on individual risks of all-cause and cause-specific mortality for leading causes of death in younger and middle-aged adults and older adults. To reduce bias, models incorporated state fixed effects and instrumental variables. Each additional $250 per capita per year spent on welfare predicted a 3-percentage point (-0.031, 95% CI: -0.059, -0.0027) lower probability of dying from any cause. Each additional $250 per capita spent on welfare and education predicted 1.6-percentage point (-0.016, 95% CI: -0.031, -0.0011) and 0.8-percentage point (-0.008, 95% CI: -0.0156, -0.00024) lower probabilities of dying from coronary heart disease (CHD), respectively. No associations were found for colon cancer or chronic obstructive pulmonary disease; for diabetes, external injury, and suicide, estimates were inverse but modest in magnitude. A 0.1 higher Gini coefficient (higher income inequality) predicted 1-percentage point (0.010, 95% CI: 0.0026, 0.0180) and 0.2-percentage point (0.002, 95% CI: 0.001, 0.002) higher probabilities of dying from CHD and suicide, respectively. Empirical linkages were identified between state-level spending on welfare and education and lower individual risks of dying, particularly from CHD and all causes combined. State-level income inequality predicted higher risks of dying from CHD and suicide. Copyright © 2015 The Author. Published by Elsevier Inc. All rights reserved.

Impact of income and income inequality on infant health outcomes in the United States.

PubMed

Olson, Maren E; Diekema, Douglas; Elliott, Barbara A; Renier, Colleen M

2010-12-01

The goal was to investigate the relationships of income and income inequality with neonatal and infant health outcomes in the United States. The 2000-2004 state data were extracted from the Kids Count Data Center. Health indicators included proportion of preterm births (PTBs), proportion of infants with low birth weight (LBW), proportion of infants with very low birth weight (VLBW), and infant mortality rate (IMR). Income was evaluated on the basis of median family income and proportion of federal poverty levels; income inequality was measured by using the Gini coefficient. Pearson correlations evaluated associations between the proportion of children living in poverty and the health indicators. Linear regression evaluated predictive relationships between median household income, proportion of children living in poverty, and income inequality for the 4 health indicators. Median family income was negatively correlated with all birth outcomes (PTB, r = -0.481; LBW, r = -0.295; VLBW, r = -0.133; IMR, r = -0.432), and the Gini coefficient was positively correlated (PTB, r = 0.339; LBW, r = 0.398; VLBW, r = 0.460; IMR, r = 0.114). The Gini coefficient explained a significant proportion of the variance in rate for each outcome in linear regression models with median family income. Among children living in poverty, the role of income decreased as the degree of poverty decreased, whereas the role of income inequality increased. Both income and income inequality affect infant health outcomes in the United States. The health of the poorest infants was affected more by absolute wealth than relative wealth.

Income inequality and health in China: A panel data analysis.

PubMed

Bakkeli, Nan Zou

2016-05-01

During the last decades, the level of income inequality in China has increased dramatically. Despite rapid economic growth and improved living conditions, the health performance in China has dropped compared to the period before the economic reform. The "Wilkinson hypothesis" suggests that increased income inequality in a society is correlated to worse health performance. China is a particular interesting case due to the rapid socioeconomic change in the country. This study uses the China Health and Nutrition Survey (CHNS) to address the question of whether income inequality has an impact on individuals' risks of having health problems in China. Unlike previous studies with health measures such as self-reported health or mortality rate, our study uses physical functions to measure individual health. By analysing panel data using county/city-level dummies and year fixed-effects, we found that income inequality does not have a significant impact on individuals' risks of having health problems. This result is robust when changing between different indicators for income inequality. Copyright © 2016 Elsevier Ltd. All rights reserved.

Inequalities of Income and Inequalities of Longevity: A Cross-Country Study

PubMed Central

Plümper, Thomas

2016-01-01

Objectives. We examined the effects of market income inequality (income inequality before taxes and transfers) and income redistribution via taxes and transfers on inequality in longevity. Methods. We used life tables to compute Gini coefficients of longevity inequality for all individuals and for individuals who survived to at least 10 years of age. We regressed longevity inequality on market income inequality and income redistribution, and we controlled for potential confounders, in a cross-sectional time-series sample of up to 28 predominantly Western developed countries and up to 37 years (1974–2011). Results. Income inequality before taxes and transfers was positively associated with inequality in the number of years lived; income redistribution (the difference between market income inequality and income inequality after taxes and transfers were accounted for) was negatively associated with longevity inequality. Conclusions. To the extent that our estimated effects derived from observational data are causal, governments can reduce longevity inequality not only via public health policies, but also via their influence on market income inequality and the redistribution of incomes from the relatively rich to the relatively poor. PMID:26562120

Income inequality and periodontal diseases in rich countries: an ecological cross-sectional study.

PubMed

Sabbah, Wael; Sheiham, Aubrey; Bernabé, Eduardo

2010-10-01

There are adverse effects of income inequality on morbidity and mortality. This relationship has not been adequately examined in relation to oral health. To examine the relationship between income inequality and periodontal disease in rich countries. Adults aged 35-44 years in 17 rich countries with populations of more than 2 million. National level data on periodontal disease, income inequality and absolute national income were collected from 17 rich countries with populations of more than 2m. Pearson and partial correlations were used to examine the relationship between income inequality and percentage of 35-44-year-old adults with periodontal pockets > or = 4 mm and > or = 6 mm deep, adjusting for absolute national income. Higher levels of income inequality were significantly associated with higher levels of periodontal disease, independently of absolute national income. Absolute income was not associated with levels of periodontal disease in these 17 rich countries. Income inequality appears to be an important contextual determinant of periodontal disease. The results emphasise the importance of relative income rather than absoluteincome in relation to periodontal disease in rich countries.

Income inequality and adolescent fertility in low-income countries.

PubMed

Castro, Ruben; Fajnzylber, Eduardo

2017-09-28

: The well-known socioeconomic gradient in health does not imply that income inequality by itself has any effect on well-being. However, there is evidence of a positive association between income inequality and adolescent fertility across countries. Nevertheless, this key finding is not focused on low-income countries. This study applies a multilevel logistic regression of country-level adolescent fertility on country-level income inequality plus individual-level income and controls to the Demographic and Health Surveys data. A negative association between income inequality and adolescent fertility was found among low-income countries, controlling for income (OR = 0.981; 95%CI: 0.963-0.999). Different measures and different subsamples of countries show the same results. Therefore, the international association between income inequality and adolescent fertility seems more complex than previously thought.

Do Socioeconomic Inequalities in Neonatal Mortality Reflect Inequalities in Coverage of Maternal Health Services? Evidence from 48 Low- and Middle-Income Countries.

PubMed

McKinnon, Britt; Harper, Sam; Kaufman, Jay S

2016-02-01

To examine socioeconomic and health system determinants of wealth-related inequalities in neonatal mortality rates (NMR) across 48 low- and middle-income countries. We used data from Demographic and Health Surveys conducted between 2006 and 2012. Absolute and relative inequalities for NMR and coverage of antenatal care, facility-based delivery, and Caesarean delivery were measured using the Slope Index of Inequality and Relative Index of Inequality, respectively. Meta-regression was used to assess whether variation in the magnitude of NMR inequalities was associated with inequalities in coverage of maternal health services, and whether country-level economic and health system factors were associated with mean NMR and socioeconomic inequality in NMR. Of the three maternal health service indicators examined, the magnitude of socioeconomic inequality in NMR was most strongly related to inequalities in antenatal care. NMR inequality was greatest in countries with higher out-of-pocket health expenditures, more doctors per capita, and a higher adolescent fertility rate. Determinants of lower mean NMR (e.g., higher government health expenditures and a greater number of nurses/midwives per capita) differed from factors associated with lower NMR inequality. Reducing the financial burden of maternal health services and achieving universal coverage of antenatal care may contribute to a reduction in socioeconomic differences in NMR. Further investigation of the mechanisms contributing to these cross-national associations seems warranted.

Long-term association of economic inequality and mortality in adult Costa Ricans.

PubMed

Modrek, Sepideh; Dow, William H; Rosero-Bixby, Luis

2012-01-01

Despite the large number of studies, mostly in developed economies, there is limited consensus on the health effects of inequality. Recently a related literature has examined the relationship between relative deprivation and health as a mechanism to explain the economic inequality and health relationship. This study evaluates the relationship between mortality and economic inequality, as measured by area-level Gini coefficients, as well as the relationship between mortality and relative deprivation, in the context of a middle-income country, Costa Rica. We followed a nationally representative prospective cohort of approximately 16,000 individuals aged 30 and over who were randomly selected from the 1984 census. These individuals were then linked to the Costa Rican National Death Registry until Dec. 31, 2007. Hazard models were used to estimate the relative risk of mortality for all-cause and cardiovascular disease mortality for two indicators: canton-level income inequality and relative deprivation based on asset ownership. Results indicate that there was an unexpectedly negative association between canton income inequality and mortality, but the relationship is not robust to the inclusion of canton fixed-effects. In contrast, we find a positive association between relative deprivation and mortality, which is robust to the inclusion of canton fixed-effects. Taken together, these results suggest that deprivation relative to those higher in a hierarchy is more detrimental to health than the overall dispersion of the hierarchy itself, within the Costa Rican context. Copyright © 2011 Elsevier Ltd. All rights reserved.

Preterm Birth in the Context of Increasing Income Inequality.

PubMed

Wallace, Maeve E; Mendola, Pauline; Chen, Zhen; Hwang, Beom Seuk; Grantz, Katherine L

2016-01-01

Preterm birth is a leading cause of infant morbidity and mortality. Little is known about the contextual effect of U.S. income inequality on preterm birth, an issue of increasing concern given that the current economic divide is the largest since 1928. We examined changes in inequality over time in relation to preterm birth among singleton deliveries from an electronic medical record-based cohort (n = 223,512) conducted in 11 U.S. states and the District of Columbia from 2002 to 2008. Increasing income inequality was defined as a positive change in state-level Gini coefficient from the year prior to birth. Multi-level models estimated the independent effect of increasing inequality on preterm birth (>22 and <37 weeks) controlling for maternal demographics, health behaviors, insurance status, chronic medical conditions, and state-level poverty and unemployment during the year of birth. The preterm birth rate was 12.3% where inequality increased and 10.9% where it did not. After adjustment, increasing inequality remained significantly associated with preterm birth (adjusted odds ratio 1.07, 95% confidence interval 1.04, 1.11). We observed no significant interaction by insurance status or race, suggesting that increasing inequality had a broad effect across the population. The contextual effect of increasing income inequality on preterm birth risk merits further study.

Standardised mortality rate for cerebrovascular diseases in the Slovak Republic from 1996 to 2013 in the context of income inequalities and its international comparison.

PubMed

Gavurová, Beáta; Kováč, Viliam; Vagašová, Tatiana

2017-12-01

Non-communicable diseases represent one of the greatest challenges for health policymakers. The main objective of this study is to analyse the development of standardised mortality rates for cerebrovascular disease, which is one of the most common causes of deaths, in relation to income inequality in individual regions of the Slovak Republic. Direct standardisation was applied using data from the Slovak mortality database, covering the time period from 1996 to 2013. The standardised mortality rate declined by 4.23% in the Slovak Republic. However, since 1996, the rate has been higher by almost 33% in men than in women. Standardised mortality rates were lower in the northern part of the Slovak Republic than in the southern part. The regression models demonstrated an impact of the observed income-related dimensions on these rates. The income quintile ratio and Gini coefficient appeared to be the most influencing variables. The results of the analysis highlight valuable baseline information for creating new support programmes aimed at eliminating health inequalities in relation to health and social policy.

How can inequalities in mortality be reduced? A quantitative analysis of 6 risk factors in 21 European populations.

PubMed

Eikemo, Terje A; Hoffmann, Rasmus; Kulik, Margarete C; Kulhánová, Ivana; Toch-Marquardt, Marlen; Menvielle, Gwenn; Looman, Caspar; Jasilionis, Domantas; Martikainen, Pekka; Lundberg, Olle; Mackenbach, Johan P

2014-01-01

Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk factors suggests that this is feasible.

How Can Inequalities in Mortality Be Reduced? A Quantitative Analysis of 6 Risk Factors in 21 European Populations

PubMed Central

Eikemo, Terje A.; Hoffmann, Rasmus; Kulik, Margarete C.; Kulhánová, Ivana; Toch-Marquardt, Marlen; Menvielle, Gwenn; Looman, Caspar; Jasilionis, Domantas; Martikainen, Pekka; Lundberg, Olle; Mackenbach, Johan P.

2014-01-01

Background Socioeconomic inequalities in mortality are one of the greatest challenges for health policy in all European countries, but the potential for reducing these inequalities is unclear. We therefore quantified the impact of equalizing the distribution of six risk factors for mortality: smoking, overweight, lack of physical exercise, lack of social participation, low income, and economic inactivity. Methods We collected and harmonized data on mortality and risk factors by educational level for 21 European populations in the early 2000s. The impact of the risk factors on mortality in each educational group was determined using Population Attributable Fractions. We estimated the impact on inequalities in mortality of two scenarios: a theoretical upward levelling scenario in which inequalities in the risk factor were completely eliminated, and a more realistic best practice scenario, in which inequalities in the risk factor were reduced to those seen in the country with the smallest inequalities for that risk factor. Findings In general, upward levelling of inequalities in smoking, low income and economic inactivity hold the greatest potential for reducing inequalities in mortality. While the importance of low income is similar across Europe, smoking is more important in the North and East, and overweight in the South. On the basis of best practice scenarios the potential for reducing inequalities in mortality is often smaller, but still substantial in many countries for smoking and physical inactivity. Interpretation Theoretically, there is a great potential for reducing inequalities in mortality in most European countries, for example by equity-oriented tobacco control policies, income redistribution and employment policies. Although it is necessary to achieve substantial degrees of upward levelling to make a notable difference for inequalities in mortality, the existence of best practice countries with more favourable distributions for some of these risk

Income inequality and 30 day outcomes after acute myocardial infarction, heart failure, and pneumonia: retrospective cohort study.

PubMed

Lindenauer, Peter K; Lagu, Tara; Rothberg, Michael B; Avrunin, Jill; Pekow, Penelope S; Wang, Yongfei; Krumholz, Harlan M

2013-02-14

To examine the association between income inequality and the risk of mortality and readmission within 30 days of hospitalization. Retrospective cohort study of Medicare beneficiaries in the United States. Hierarchical, logistic regression models were developed to estimate the association between income inequality (measured at the US state level) and a patient's risk of mortality and readmission, while sequentially controlling for patient, hospital, other state, and patient socioeconomic characteristics. We considered a 0.05 unit increase in the Gini coefficient as a measure of income inequality. US acute care hospitals. Patients aged 65 years and older, and hospitalized in 2006-08 with a principal diagnosis of acute myocardial infarction, heart failure, or pneumonia. Risk of death within 30 days of admission or rehospitalization for any cause within 30 days of discharge. The potential number of excess deaths and readmissions associated with higher levels of inequality in US states in the three highest quarters of income inequality were compared with corresponding data in US states in the lowest quarter. Mortality analyses included 555,962 admissions (4348 hospitals) for acute myocardial infarction, 1,092,285 (4484) for heart failure, and 1,146,414 (4520); readmission analyses included 553,037 (4262), 1,345,909 (4494), and 1,345,909 (4524) admissions, respectively. In 2006-08, income inequality in US states (as measured by the average Gini coefficient over three years) varied from 0.41 in Utah to 0.50 in New York. Multilevel models showed no significant association between income inequality and mortality within 30 days of admission for patients with acute myocardial infarction, heart failure, or pneumonia. By contrast, income inequality was associated with rehospitalization (acute myocardial infarction, risk ratio 1.09 (95% confidence interval 1.03 to 1.15), heart failure 1.07 (1.01 to 1.12), pneumonia 1.09 (1.03 to 1.15)). Further adjustment for individual income

Educational Inequality and Income Inequality: An Empirical Study on China

ERIC Educational Resources Information Center

Yang, Jun; Huang, Xiao; Li, Xiaoyu

2009-01-01

Based on the endogenous growth theory, this paper uses the Gini coefficient to measure educational inequality and studies the empirical relationship between educational inequality and income inequality through a simultaneous equation model. The results show that: (1) Income inequality leads to educational inequality while the reduction of…

Socioeconomic inequalities in mortality and repeated measurement of explanatory risk factors in a 25 years follow-up.

PubMed

Skalická, Věra; Ringdal, Kristen; Witvliet, Margot I

2015-01-01

Socioeconomic inequalities in mortality can be explained by different groups of risk factors. However, little is known whether repeated measurement of risk factors can provide better explanation of socioeconomic inequalities in health. Our study examines the extent to which relative educational and income inequalities in mortality might be explained by explanatory risk factors (behavioral, psychosocial, biomedical risk factors and employment) measured at two points in time, as compared to one measurement at baseline. From the Norwegian total county population-based HUNT Study (years 1984-86 and 1995-1997, respectively) 61 513 men and women aged 25-80 (82.5% of all enrolled) were followed-up for mortality in 25 years until 2009, employing a discrete time survival analysis. Socioeconomic inequalities in mortality were observed. As compared to their highest socioeconomic counterparts, the lowest educated men had an OR (odds ratio) of 1.41 (95% CI 1.29-1.55) and for the lowest income quartile OR = 1.59 (1.48-1.571), for women OR = 1.35 (1.17-1.55), and OR = 1.40 (1.28-1.52), respectively. Baseline explanatory variables attenuated the association between education and income with mortality by 54% and 54% in men, respectively, and by 69% and 18% in women. After entering time-varying variables, this attainment increased to 63% and 59% in men, respectively, and to 25% (income) in women, with no improvement in regard to education in women. Change in biomedical factors and employment did not amend the explanation. Addition of a second measurement for risk factors provided only a modest improvement in explaining educational and income inequalities in mortality in Norwegian men and women. Accounting for change in behavior provided the largest improvement in explained inequalities in mortality for both men and women, as compared to measurement at baseline. Psychosocial factors explained the largest share of income inequalities in mortality for men, but repeated measurement of

Income inequality in today's China.

PubMed

Xie, Yu; Zhou, Xiang

2014-05-13

Using multiple data sources, we establish that China's income inequality since 2005 has reached very high levels, with the Gini coefficient in the range of 0.53-0.55. Analyzing comparable survey data collected in 2010 in China and the United States, we examine social determinants that help explain China's high income inequality. Our results indicate that a substantial part of China's high income inequality is due to regional disparities and the rural-urban gap. The contributions of these two structural forces are particularly strong in China, but they play a negligible role in generating the overall income inequality in the United States, where individual-level and family-level income determinants, such as family structure and race/ethnicity, play a much larger role.

Is wealthier always healthier? The impact of national income level, inequality, and poverty on public health in Latin America.

PubMed

Biggs, Brian; King, Lawrence; Basu, Sanjay; Stuckler, David

2010-07-01

Despite findings indicating that both national income level and income inequality are each determinants of public health, few have studied how national income level, poverty and inequality interact with each other to influence public health outcomes. We analyzed the relationship between gross domestic product (GDP) per capita in purchasing power parity, extreme poverty rates, the gini coefficient for personal income and three common measures of public health: life expectancy, infant mortality rates, and tuberculosis (TB) mortality rates. Introducing poverty and inequality as modifying factors, we then assessed whether the relationship between GDP and health differed during times of increasing, decreasing, and decreasing or constant poverty and inequality. Data were taken from twenty-two Latin American countries from 1960 to 2007 from the December 2008 World Bank World Development Indicators, World Health Organization Global Tuberculosis Database 2008, and the Socio-Economic Database for Latin America and the Caribbean. Consistent with previous studies, we found increases in GDP have a sizable positive impact on population health. However, the strength of the relationship is powerfully influenced by changing levels of poverty and inequality. When poverty was increasing, greater GDP had no significant effect on life expectancy or TB mortality, and only led to a small reduction in infant mortality rates. When inequality was rising, greater GDP had only a modest effect on life expectancy and infant mortality rates, and no effect on TB mortality rates. In sharp contrast, during times of decreasing or constant poverty and inequality, there was a very strong relationship between increasing GDP and higher life expectancy and lower TB and infant mortality rates. Finally, inequality and poverty were found to exert independent, substantial effects on the relationship between national income level and health. Wealthier is indeed healthier, but how much healthier depends on how

Quantifying the individual-level association between income and mortality risk in the United States using the National Longitudinal Mortality Study.

PubMed

Brodish, Paul Henry; Hakes, Jahn K

2016-12-01

Policy makers would benefit from being able to estimate the likely impact of potential interventions to reverse the effects of rapidly rising income inequality on mortality rates. Using multiple cohorts of the National Longitudinal Mortality Study (NLMS), we estimate the absolute income effect on premature mortality in the United States. A multivariate Poisson regression using the natural logarithm of equivilized household income establishes the magnitude of the absolute income effect on mortality. We calculate mortality rates for each income decile of the study sample and mortality rate ratios relative to the decile containing mean income. We then apply the estimated income effect to two kinds of hypothetical interventions that would redistribute income. The first lifts everyone with an equivalized household income at or below the U.S. poverty line (in 2000$) out of poverty, to the income category just above the poverty line. The second shifts each family's equivalized income by, in turn, 10%, 20%, 30%, or 40% toward the mean household income, equivalent to reducing the Gini coefficient by the same percentage in each scenario. We also assess mortality disparities of the hypothetical interventions using ratios of mortality rates of the ninth and second income deciles, and test sensitivity to the assumption of causality of income on mortality by halving the mortality effect per unit of equivalized household income. The estimated absolute income effect would produce a three to four percent reduction in mortality for a 10% reduction in the Gini coefficient. Larger mortality reductions result from larger reductions in the Gini, but with diminishing returns. Inequalities in estimated mortality rates are reduced by a larger percentage than overall estimated mortality rates under the same hypothetical redistributions. Copyright © 2016 Elsevier Ltd. All rights reserved.

The Relationship between Income Inequality and Inequality in Schooling

ERIC Educational Resources Information Center

Mayer, Susan E.

2010-01-01

Children of affluent parents get more schooling than children of poor parents, which seems to imply that reducing income inequality would reduce inequality in schooling. Similarly, one of the best predictors of an individual's income is his educational attainment, which seems to imply that reducing inequality in schooling will reduce income…

Decomposing Educational Inequalities in Child Mortality: A Temporal Trend Analysis of Access to Water and Sanitation in Peru

PubMed Central

Bohra, Tasneem; Benmarhnia, Tarik; McKinnon, Britt; Kaufman, Jay S.

2017-01-01

Previous studies of inequality in health and mortality have largely focused on income-based inequality. Maternal education plays an important role in determining access to water and sanitation, and inequalities in child mortality arising due to differential access, especially in low- and middle-income countries such as Peru. This article aims to explain education-related inequalities in child mortality in Peru using a regression-based decomposition of the concentration index of child mortality. The analysis combines a concentration index created along a cumulative distribution of the Demographic and Health Surveys sample ranked according to maternal education, and decomposition measures the contribution of water and sanitation to educational inequalities in child mortality. We observed a large education-related inequality in child mortality and access to water and sanitation. There is a need for programs and policies in child health to focus on ensuring equity and to consider the educational stratification of the population to target the most disadvantaged segments of the population. PMID:27821698

Income Inequality and Intergenerational Income Mobility in the United States

PubMed Central

Bloome, Deirdre

2015-01-01

Is there a relationship between family income inequality and income mobility across generations in the United States? As family income inequality rose in the United States, parental resources available for improving children’s health, education, and care diverged. The amount and rate of divergence also varied across US states. Researchers and policy analysts have expressed concern that relatively high inequality might be accompanied by relatively low mobility, tightening the connection between individuals’ incomes during childhood and adulthood. Using data from the Panel Study of Income Dynamics, the National Longitudinal Survey of Youth, and various government sources, this paper exploits state and cohort variation to estimate the relationship between inequality and mobility. Results provide very little support for the hypothesis that inequality shapes mobility in the United States. The inequality children experienced during youth had no robust association with their economic mobility as adults. Formal analysis reveals that offsetting effects could underlie this result. In theory, mobility-enhancing forces may counterbalance mobility-reducing effects. In practice, the results suggest that in the US context, the intergenerational transmission of income may not be very responsive to changes in inequality. PMID:26388653

Socioeconomic Inequalities in Mortality and Repeated Measurement of Explanatory Risk Factors in a 25 Years Follow-Up

PubMed Central

Skalická, Věra; Ringdal, Kristen; Witvliet, Margot I.

2015-01-01

Background Socioeconomic inequalities in mortality can be explained by different groups of risk factors. However, little is known whether repeated measurement of risk factors can provide better explanation of socioeconomic inequalities in health. Our study examines the extent to which relative educational and income inequalities in mortality might be explained by explanatory risk factors (behavioral, psychosocial, biomedical risk factors and employment) measured at two points in time, as compared to one measurement at baseline. Methods and Findings From the Norwegian total county population-based HUNT Study (years 1984–86 and 1995–1997, respectively) 61 513 men and women aged 25–80 (82.5% of all enrolled) were followed-up for mortality in 25 years until 2009, employing a discrete time survival analysis. Socioeconomic inequalities in mortality were observed. As compared to their highest socioeconomic counterparts, the lowest educated men had an OR (odds ratio) of 1.41 (95% CI 1.29–1.55) and for the lowest income quartile OR = 1.59 (1.48–1.571), for women OR = 1.35 (1.17–1.55), and OR = 1.40 (1.28–1.52), respectively. Baseline explanatory variables attenuated the association between education and income with mortality by 54% and 54% in men, respectively, and by 69% and 18% in women. After entering time-varying variables, this attainment increased to 63% and 59% in men, respectively, and to 25% (income) in women, with no improvement in regard to education in women. Change in biomedical factors and employment did not amend the explanation. Conclusions Addition of a second measurement for risk factors provided only a modest improvement in explaining educational and income inequalities in mortality in Norwegian men and women. Accounting for change in behavior provided the largest improvement in explained inequalities in mortality for both men and women, as compared to measurement at baseline. Psychosocial factors explained the largest share of income

Accounting for the dead in the longitudinal analysis of income-related health inequalities

PubMed Central

Petrie, Dennis; Allanson, Paul; Gerdtham, Ulf-G.

2011-01-01

This paper develops an accounting framework to consider the effect of deaths on the longitudinal analysis of income-related health inequalities. Ignoring deaths or using Inverse Probability Weights (IPWs) to re-weight the sample for mortality-related attrition can produce misleading results. Incorporating deaths into the longitudinal analysis of income-related health inequalities provides a more complete picture in terms of the evaluation of health changes in respect to socioeconomic status. We illustrate our work by investigating health mobility from 1999 till 2004 using the British Household Panel Survey (BHPS). We show that for Scottish males explicitly accounting for the dead rather than using IPWs to account for mortality-related attrition changes the direction of the relationship between relative health changes and initial income position, from negative to positive, while for other groups it significantly increases the strength of the positive relationship. Incorporating the dead may be vital in the longitudinal analysis of health inequalities. PMID:21820193

Accounting for the dead in the longitudinal analysis of income-related health inequalities.

PubMed

Petrie, Dennis; Allanson, Paul; Gerdtham, Ulf G

2011-09-01

This paper develops an accounting framework to consider the effect of deaths on the longitudinal analysis of income-related health inequalities. Ignoring deaths or using Inverse Probability Weights (IPWs) to re-weight the sample for mortality-related attrition can produce misleading results. Incorporating deaths into the longitudinal analysis of income-related health inequalities provides a more complete picture in terms of the evaluation of health changes in respect to socioeconomic status. We illustrate our work by investigating health mobility from 1999 till 2004 using the British Household Panel Survey (BHPS). We show that for Scottish males explicitly accounting for the dead rather than using IPWs to account for mortality-related attrition changes the direction of the relationship between relative health changes and initial income position, from negative to positive, while for other groups it significantly increases the strength of the positive relationship. Incorporating the dead may be vital in the longitudinal analysis of health inequalities. Copyright © 2011 Elsevier B.V. All rights reserved.

Decomposing Educational Inequalities in Child Mortality: A Temporal Trend Analysis of Access to Water and Sanitation in Peru.

PubMed

Bohra, Tasneem; Benmarhnia, Tarik; McKinnon, Britt; Kaufman, Jay S

2017-01-11

Previous studies of inequality in health and mortality have largely focused on income-based inequality. Maternal education plays an important role in determining access to water and sanitation, and inequalities in child mortality arising due to differential access, especially in low- and middle-income countries such as Peru. This article aims to explain education-related inequalities in child mortality in Peru using a regression-based decomposition of the concentration index of child mortality. The analysis combines a concentration index created along a cumulative distribution of the Demographic and Health Surveys sample ranked according to maternal education, and decomposition measures the contribution of water and sanitation to educational inequalities in child mortality. We observed a large education-related inequality in child mortality and access to water and sanitation. There is a need for programs and policies in child health to focus on ensuring equity and to consider the educational stratification of the population to target the most disadvantaged segments of the population. © The American Society of Tropical Medicine and Hygiene.

Ecological analysis of teen birth rates: association with community income and income inequality.

PubMed

Gold, R; Kawachi, I; Kennedy, B P; Lynch, J W; Connell, F A

2001-09-01

To examine whether per capita income and income inequality are independently associated with teen birth rate in populous U.S. counties. This study used 1990 U.S. Census data and National Center for Health Statistics birth data. Income inequality was measured with the 90:10 ratio, a ratio of percent of cumulative income held by the richest and poorest population deciles. Linear regression and analysis of variance were used to assess associations between county-level average income, income inequality, and teen birth rates among counties with population greater than 100,000. Among teens aged 15-17, income inequality and per capita income were independently associated with birth rate; the mean birth rate was 54 per 1,000 in counties with low income and high income inequality, and 19 per 1,000 in counties with high income and low inequality. Among older teens (aged 18-19) only per capita income was significantly associated with birth rate. Although teen childbearing is the result of individual behaviors, these findings suggest that community-level factors such as income and income inequality may contribute significantly to differences in teen birth rates.

Income-related health inequalities across regions in Korea

PubMed Central

2011-01-01

Introduction In addition to economic inequalities, there has been growing concern over socioeconomic inequalities in health across income levels and/or regions. This study measures income-related health inequalities within and between regions and assesses the possibility of convergence of socioeconomic inequalities in health as regional incomes converge. Methods We considered a total of 45,233 subjects (≥ 19 years) drawn from the four waves of the Korean National Health and Nutrition Examination Survey (KNHANES). We considered true health as a latent variable following a lognormal distribution. We obtained ill-health scores by matching self-rated health (SRH) to its distribution and used the Gini Coefficient (GC) and an income-related ill-health Concentration Index (CI) to examine inequalities in income and health, respectively. Results The GC estimates were 0.3763 and 0.0657 for overall and spatial inequalities, respectively. The overall CI was -0.1309, and the spatial CI was -0.0473. The spatial GC and CI estimates were smaller than their counterparts, indicating substantial inequalities in income (from 0.3199 in Daejeon to 0.4233 Chungnam) and income-related health inequalities (from -0.1596 in Jeju and -0.0844 in Ulsan) within regions. The results indicate a positive relationship between the GC and the average ill-health and a negative relationship between the CI and the average ill-health. Those regions with a low level of health tended to show an unequal distribution of income and health. In addition, there was a negative relationship between the GC and the CI, that is, the larger the income inequalities, the larger the health inequalities were. The GC was negatively related to the average regional income, indicating that an increase in a region's average income reduced income inequalities in the region. On the other hand, the CI showed a positive relationship, indicating that an increase in a region's average income reduced health inequalities in the

Income inequality in today’s China

PubMed Central

Xie, Yu; Zhou, Xiang

2014-01-01

Using multiple data sources, we establish that China's income inequality since 2005 has reached very high levels, with the Gini coefficient in the range of 0.53–0.55. Analyzing comparable survey data collected in 2010 in China and the United States, we examine social determinants that help explain China’s high income inequality. Our results indicate that a substantial part of China’s high income inequality is due to regional disparities and the rural-urban gap. The contributions of these two structural forces are particularly strong in China, but they play a negligible role in generating the overall income inequality in the United States, where individual-level and family-level income determinants, such as family structure and race/ethnicity, play a much larger role. PMID:24778237

Global variance in female population height: the influence of education, income, human development, life expectancy, mortality and gender inequality in 96 nations.

PubMed

Mark, Quentin J

2014-01-01

Human height is a heritable trait that is known to be influenced by environmental factors and general standard of living. Individual and population stature is correlated with health, education and economic achievement. Strong sexual selection pressures for stature have been observed in multiple diverse populations, however; there is significant global variance in gender equality and prohibitions on female mate selection. This paper explores the contribution of general standard of living and gender inequality to the variance in global female population heights. Female population heights of 96 nations were culled from previously published sources and public access databases. Factor analysis with United Nations international data on education rates, life expectancy, incomes, maternal and childhood mortality rates, ratios of gender participation in education and politics, the Human Development Index (HDI) and the Gender Inequality Index (GII) was run. Results indicate that population heights vary more closely with gender inequality than with population health, income or education.

Socioeconomic Inequality in mortality using 12-year follow-up data from nationally representative surveys in South Korea.

PubMed

Khang, Young-Ho; Kim, Hye-Ryun

2016-03-22

Investigations into socioeconomic inequalities in mortality have rarely used long-term mortality follow-up data from nationally representative samples in Asian countries. A limited subset of indicators for socioeconomic position was employed in prior studies on socioeconomic inequalities in mortality. We examined socioeconomic inequalities in mortality using follow-up 12-year mortality data from nationally representative samples of South Koreans. A total of 10,137 individuals who took part in the 1998 and 2001 Korea National Health and Nutrition Examination Surveys were linked to mortality data from Statistics Korea. Of those individuals, 1,219 (12.1 %) had died as of December 2012. Cox proportional hazard models were used to estimate the relative risks of mortality according to a wide range of socioeconomic position (SEP) indicators after taking into account primary sampling units, stratification, and sample weights. Our analysis showed strong evidence that individuals with disadvantaged SEP indicators had greater all-cause mortality risks than their counterparts. The magnitude of the association varied according to gender, age group, and specific SEP indicators. Cause-specific analyses using equivalized income quintiles showed that the magnitude of mortality inequalities tended to be greater for cardiovascular disease and external causes than for cancer. Inequalities in mortality exist in every aspect of SEP indicators, both genders, and age groups, and four broad causes of deaths. The South Korean economic development, previously described as effective in both economic growth and relatively equitable income distribution, should be scrutinized regarding its impact on socioeconomic mortality inequalities. Policy measures to reduce inequalities in mortality should be implemented in South Korea.

Income inequality in the developing world.

PubMed

Ravallion, Martin

2014-05-23

Should income inequality be of concern in developing countries? New data reveal less income inequality in the developing world than 30 years ago. However, this is due to falling inequality between countries. Average inequality within developing countries has been slowly rising, though staying fairly flat since 2000. As a rule, higher rates of growth in average incomes have not put upward pressure on inequality within countries. Growth has generally helped reduce the incidence of absolute poverty, but less so in more unequal countries. High inequality also threatens to stall future progress against poverty by attenuating growth prospects. Perceptions of rising absolute gaps in living standards between the rich and the poor in growing economies are also consistent with the evidence. Copyright © 2014, American Association for the Advancement of Science.

Progressive taxation, income inequality, and happiness.

PubMed

Oishi, Shigehiro; Kushlev, Kostadin; Schimmack, Ulrich

2018-01-01

Income inequality has become one of the more widely debated social issues today. The current article explores the role of progressive taxation in income inequality and happiness. Using historical data in the United States from 1962 to 2014, we found that income inequality was substantially smaller in years when the income tax was more progressive (i.e., a higher tax rate for higher income brackets), even when controlling for variables like stock market performance and unemployment rate. Time lag analyses further showed that higher progressive taxation predicted increasingly lower income inequality up to 5 years later. Data from the General Social Survey (1972-2014; N = 59,599) with U.S. residents (hereafter referred to as "Americans") showed that during years with higher progressive taxation rates, less wealthy Americans-those in the lowest 40% of the income distribution-tended to be happier, whereas the richest 20% were not significantly less happy. Mediational analyses confirmed that the association of progressive taxation with the happiness of less wealthy Americans can be explained by lower income inequality in years with higher progressive taxation. A separate sample of Americans polled online (N = 373) correctly predicted the positive association between progressive taxation and the happiness of poorer Americans but incorrectly expected a strong negative association between progressive taxation and the happiness of richer Americans. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Income Inequality and U.S. Tax Policy

ERIC Educational Resources Information Center

Crocco, Margaret S.; Marri, Anand R.; Wylie, Scott

2011-01-01

Many social scientists have recently commented on the high levels of income inequality in the United States. Indeed, the last time income inequality was as great as it is today was 1928, the year before the stock market crash ushered in the Great Depression. In this article, the authors offer a historical look at income inequality and taxation in…

Income Inequality and the Education Divide.

ERIC Educational Resources Information Center

Welch, Mary A., Ed.

1998-01-01

The economics of the decision to go to college or obtain technical training is discussed in this booklet. To stay competitive in the job market requires constant educational updating. The following questions are discussed: (1) how income inequality is measured; (2) how income is distributed in the United States; (3) why income inequality is…

Educational assortative mating and income inequality in Denmark.

PubMed

Breen, Richard; Andersen, Signe Hald

2012-08-01

Many writers have expressed a concern that growing educational assortative mating will lead to greater inequality between households in their earnings or income. In this article, we examine the relationship between educational assortative mating and income inequality in Denmark between 1987 and 2006. Denmark is widely known for its low level of income inequality, but the Danish case provides a good test of the relationship between educational assortative mating and inequality because although income inequality increased over the period we consider, educational homogamy declined. Using register data on the exact incomes of the whole population, we find that change in assortative mating increased income inequality but that these changes were driven by changes in the educational distributions of men and women rather than in the propensity for people to choose a partner with a given level of education.

Common mental disorders, neighbourhood income inequality and income deprivation: small-area multilevel analysis.

PubMed

Fone, David; Greene, Giles; Farewell, Daniel; White, James; Kelly, Mark; Dunstan, Frank

2013-04-01

Common mental disorders are more prevalent in areas of high neighbourhood socioeconomic deprivation but whether the prevalence varies with neighbourhood income inequality is not known. To investigate the hypothesis that the interaction between small-area income deprivation and income inequality was associated with individual mental health. Multilevel analysis of population data from the Welsh Health Survey, 2003/04-2010. A total of 88,623 respondents aged 18-74 years were nested within 50,587 households within 1887 lower super output areas (neighbourhoods) and 22 unitary authorities (regions), linked to the Gini coefficient (income inequality) and the per cent of households living in poverty (income deprivation). Mental health was measured using the Mental Health Inventory MHI-5 as a discrete variable and as a 'case' of common mental disorder. High neighbourhood income inequality was associated with better mental health in low-deprivation neighbourhoods after adjusting for individual and household risk factors (parameter estimate +0.70 (s.e. = 0.33), P = 0.036; odds ratio (OR) for common mental disorder case 0.92, 95% CI 0.88-0.97). Income inequality at regional level was significantly associated with poorer mental health (parameter estimate -1.35 (s.e. = 0.54), P = 0.012; OR = 1.13, 95% CI 1.04-1.22). The associations between common mental disorders, income inequality and income deprivation are complex. Income inequality at neighbourhood level is less important than income deprivation as a risk factor for common mental disorders. The adverse effect of income inequality starts to operate at the larger regional level.

Using quantile regression to examine the effects of inequality across the mortality distribution in the U.S. counties

PubMed Central

Yang, Tse-Chuan; Chen, Vivian Yi-Ju; Shoff, Carla; Matthews, Stephen A.

2012-01-01

The U.S. has experienced a resurgence of income inequality in the past decades. The evidence regarding the mortality implications of this phenomenon has been mixed. This study employs a rarely used method in mortality research, quantile regression (QR), to provide insight into the ongoing debate of whether income inequality is a determinant of mortality and to investigate the varying relationship between inequality and mortality throughout the mortality distribution. Analyzing a U.S. dataset where the five-year (1998–2002) average mortality rates were combined with other county-level covariates, we found that the association between inequality and mortality was not constant throughout the mortality distribution and the impact of inequality on mortality steadily increased until the 80th percentile. When accounting for all potential confounders, inequality was significantly and positively related to mortality; however, this inequality–mortality relationship did not hold across the mortality distribution. A series of Wald tests confirmed this varying inequality–mortality relationship, especially between the lower and upper tails. The large variation in the estimated coefficients of the Gini index suggested that inequality had the greatest influence on those counties with a mortality rate of roughly 9.95 deaths per 1000 population (80th percentile) compared to any other counties. Furthermore, our results suggest that the traditional analytic methods that focus on mean or median value of the dependent variable can be, at most, applied to a narrow 20 percent of observations. This study demonstrates the value of QR. Our findings provide some insight as to why the existing evidence for the inequality–mortality relationship is mixed and suggest that analytical issues may play a role in clarifying whether inequality is a robust determinant of population health. PMID:22497847

Growing Income Inequality Threatens American Education

ERIC Educational Resources Information Center

Duncan, Greg J.; Murnane, Richard J.

2014-01-01

The first of two articles in consecutive months describes the origins and nature of growing income inequality, and some of its consequences for American children. It documents the increased family income inequality that's occurred over the past 40 years and shows that the increased income disparity has been more than matched by an expanding…

Does gender inequity increase men's mortality risk in the United States? A multilevel analysis of data from the National Longitudinal Mortality Study.

PubMed

Kavanagh, Shane A; Shelley, Julia M; Stevenson, Christopher

2017-12-01

A number of theoretical approaches suggest that gender inequity may give rise to health risks for men. This study undertook a multilevel analysis to ascertain if state-level measures of gender inequity are predictors of men's mortality in the United States. Data for the analysis were taken primarily from the National Longitudinal Mortality Study, which is based on a random sample of the non-institutionalised population. The full data set included 174,703 individuals nested within 50 states and had a six-year follow-up for mortality. Gender inequity was measured by nine variables: higher education, reproductive rights, abortion provider access, elected office, management, business ownership, labour force participation, earnings and relative poverty. Covariates at the individual level were age, income, education, race/ethnicity, marital status and employment status. Covariates at the state level were income inequality and per capita gross domestic product. The results of logistic multilevel modelling showed a number of measures of state-level gender inequity were significantly associated with men's mortality. In all of these cases greater gender inequity was associated with an increased mortality risk. In fully adjusted models for all-age adult men the elected office (OR 1.05 95% CI 1.01-1.09), business ownership (OR 1.04 95% CI 1.01-1.08), earnings (OR 1.04 95% CI 1.01-1.08) and relative poverty (OR 1.07 95% CI 1.03-1.10) measures all showed statistically significant effects for each 1 standard deviation increase in the gender inequity z -score. Similar effects were seen for working-age men. In older men (65+ years) only the earnings and relative poverty measures were statistically significant. This study provides evidence that gender inequity may increase men's health risks. The effect sizes while small are large enough across the range of gender inequity identified to have important population health implications.

Child wellbeing and income inequality in rich societies: ecological cross sectional study.

PubMed

Pickett, Kate E; Wilkinson, Richard G

2007-11-24

To examine associations between child wellbeing and material living standards (average income), the scale of differentiation in social status (income inequality), and social exclusion (children in relative poverty) in rich developed societies. Ecological, cross sectional studies. Cross national comparisons of 23 rich countries; cross state comparisons within the United States. Children and young people. The Unicef index of child wellbeing and its components for rich countries; eight comparable measures for the US states and District of Columbia (teenage births, juvenile homicides, infant mortality, low birth weight, educational performance, dropping out of high school, overweight, mental health problems). The overall index of child wellbeing was negatively correlated with income inequality (r=-0.64, P=0.001) and percentage of children in relative poverty (r=-0.67, P=0.001) but not with average income (r=0.15, P=0.50). Many more indicators of child wellbeing were associated with income inequality or children in relative poverty, or both, than with average incomes. Among the US states and District of Columbia all indicators were significantly worse in more unequal states. Only teenage birth rates and the proportion of children dropping out of high school were lower in richer states. Improvements in child wellbeing in rich societies may depend more on reductions in inequality than on further economic growth.

Common mental disorders, neighbourhood income inequality and income deprivation: small-area multilevel analysis

PubMed Central

Fone, David; Greene, Giles; Farewell, Daniel; White, James; Kelly, Mark; Dunstan, Frank

2013-01-01

Background Common mental disorders are more prevalent in areas of high neighbourhood socioeconomic deprivation but whether the prevalence varies with neighbourhood income inequality is not known. Aims To investigate the hypothesis that the interaction between small-area income deprivation and income inequality was associated with individual mental health. Method Multilevel analysis of population data from the Welsh Health Survey, 2003/04–2010. A total of 88 623 respondents aged 18–74 years were nested within 50 587 households within 1887 lower super output areas (neighbourhoods) and 22 unitary authorities (regions), linked to the Gini coefficient (income inequality) and the per cent of households living in poverty (income deprivation). Mental health was measured using the Mental Health Inventory MHI-5 as a discrete variable and as a ‘case’ of common mental disorder. Results High neighbourhood income inequality was associated with better mental health in low-deprivation neighbourhoods after adjusting for individual and household risk factors (parameter estimate +0.70 (s.e. = 0.33), P = 0.036; odds ratio (OR) for common mental disorder case 0.92, 95% CI 0.88–0.97). Income inequality at regional level was significantly associated with poorer mental health (parameter estimate -1.35 (s.e. = 0.54), P = 0.012; OR = 1.13, 95% CI 1.04–1.22). Conclusions The associations between common mental disorders, income inequality and income deprivation are complex. Income inequality at neighbourhood level is less important than income deprivation as a risk factor for common mental disorders. The adverse effect of income inequality starts to operate at the larger regional level. PMID:23470284

Widening Income Inequalities: Higher Education's Role in Serving Low Income Students

ERIC Educational Resources Information Center

Dalton, Jon C.; Crosby, Pamela C.

2015-01-01

Many scholars argue that America is becoming a dangerously divided nation because of increasing inequality, especially in income distribution. This article examines the problem of widening income inequality with particular focus on the role that colleges and universities and their student affairs organizations play in serving low income students…

Inequality, income, and poverty: comparative global evidence.

PubMed

Fosu, Augustin Kwasi

2010-01-01

Objectives. The study seeks to provide comparative global evidence on the role of income inequality, relative to income growth, in poverty reduction.Methods. An analysis-of-covariance model is estimated using a large global sample of 1980–2004 unbalanced panel data, with the headcount measure of poverty as the dependent variable, and the Gini coefficient and PPP-adjusted mean income as explanatory variables. Both random-effects and fixed-effects methods are employed in the estimation.Results. The responsiveness of poverty to income is a decreasing function of inequality, and the inequality elasticity of poverty is actually larger than the income elasticity of poverty. Furthermore, there is a large variation across regions (and countries) in the relative effects of inequality on poverty.Conclusion. Income distribution plays a more important role than might be traditionally acknowledged in poverty reduction, though this importance varies widely across regions and countries.

American Higher Education and Income Inequality

ERIC Educational Resources Information Center

Hill, Catharine B.

2016-01-01

This paper demonstrates that increasing income inequality can contribute to the trends we see in American higher education, particularly in the selective, private nonprofit and public sectors. Given these institutions' selective admissions and commitment to socioeconomic diversity, the paper demonstrates how increasing income inequality leads to…

Income inequality, alcohol use, and alcohol-related problems.

PubMed

Karriker-Jaffe, Katherine J; Roberts, Sarah C M; Bond, Jason

2013-04-01

We examined the relationship between state-level income inequality and alcohol outcomes and sought to determine whether associations of inequality with alcohol consumption and problems would be more evident with between-race inequality measures than with the Gini coefficient. We also sought to determine whether inequality would be most detrimental for disadvantaged individuals. Data from 2 nationally representative samples of adults (n = 13,997) from the 2000 and 2005 National Alcohol Surveys were merged with state-level inequality and neighborhood disadvantage indicators from the 2000 US Census. We measured income inequality using the Gini coefficient and between-race poverty ratios (Black-White and Hispanic-White). Multilevel models accounted for clustering of respondents within states. Inequality measured by poverty ratios was positively associated with light and heavy drinking. Associations between poverty ratios and alcohol problems were strongest for Blacks and Hispanics compared with Whites. Household poverty did not moderate associations with income inequality. Poverty ratios were associated with alcohol use and problems, whereas overall income inequality was not. Higher levels of alcohol problems in high-inequality states may be partly due to social context.

Inequalities in mortality during and after restructuring of the New Zealand economy: repeated cohort studies

PubMed Central

2008-01-01

Objectives To determine whether disparities between income and mortality changed during a period of major structural and macroeconomic reform and to estimate the changing contribution of different diseases to these disparities. Design Repeated cohort studies. Data sources 1981, 1986, 1991, 1996, and 2001 censuses linked to mortality data. Population Total New Zealand population, ages 1-74 years. Methods Mortality rates standardised for age and ethnicity were calculated for each census cohort by level of household income. Standardised rate differences and rate ratios, and slope and relative indices of inequality (SII and RII), were calculated to measure disparities on both absolute and relative scales. Results All cause mortality rates declined over the 25 year study period in all groups stratified by sex, age, and income, except for 25-44 year olds of both sexes on low incomes among whom there was little change. In all age groups pooled, relative inequalities increased from 1981-4 to 1996-9 (RIIs increased from 1.85 (95% confidence interval 1.67 to 2.04) to 2.54 (2.29 to 2.82) for males and from 1.54 (1.35 to 1.76) to 2.12 (1.88 to 2.39) for females), then stabilised in 2001-4 (RIIs of 2.60 (2.34 to 2.89) and 2.18 (1.93 to 2.45), respectively). Absolute inequalities were stable over time, with a possible fall from 1996-9 to 2001-4. Cardiovascular disease was the major contributor to the observed disparities between income and mortality but decreased in importance from 45% in 1981-4 to 33% in 2001-4 for males and from 50% to 29% for females. The corresponding contribution of cancer increased from 16% to 22% for males and from 12% to 25% for females. Conclusions During and after restructuring of the economy disparities in mortality between income groups in New Zealand increased in relative terms (but not in absolute terms), but it is difficult to confidently draw a causal link with structural reforms. The contribution of different causes of death to this inequality

Income Inequality, Alcohol Use, and Alcohol-Related Problems

PubMed Central

C. M. Roberts, Sarah; Bond, Jason

2013-01-01

Objectives. We examined the relationship between state-level income inequality and alcohol outcomes and sought to determine whether associations of inequality with alcohol consumption and problems would be more evident with between-race inequality measures than with the Gini coefficient. We also sought to determine whether inequality would be most detrimental for disadvantaged individuals. Methods. Data from 2 nationally representative samples of adults (n = 13 997) from the 2000 and 2005 National Alcohol Surveys were merged with state-level inequality and neighborhood disadvantage indicators from the 2000 US Census. We measured income inequality using the Gini coefficient and between-race poverty ratios (Black–White and Hispanic–White). Multilevel models accounted for clustering of respondents within states. Results. Inequality measured by poverty ratios was positively associated with light and heavy drinking. Associations between poverty ratios and alcohol problems were strongest for Blacks and Hispanics compared with Whites. Household poverty did not moderate associations with income inequality. Conclusions. Poverty ratios were associated with alcohol use and problems, whereas overall income inequality was not. Higher levels of alcohol problems in high-inequality states may be partly due to social context. PMID:23237183

Should we worry about income inequality?

PubMed

Wade, Robert Hunter

2006-01-01

Liberals (in the European sense) argue that a liberal free-market economic policy regime-nationally and globally-is good for economic growth and poverty reduction and for keeping income inequality within tolerable limits. Second, they argue that substantial income inequality is desirable because of its good effects on other things, notably incentives, innovation, and panache; and conversely, they dismiss concerns about growing inequality as "the politics of envy." Third, they argue that the core liberal theory of capitalist political economy satisfactorily explains the central tendencies in the role of the state in advanced capitalist economies. This essay challenges all three arguments on both conceptual and empirical grounds. It then suggests why the arguments are nevertheless widely accepted, proposes criteria for deciding how much inequality is fair, and ends by suggesting ways for achieving higher salience for income redistribution (downwards) in political agendas.

Income inequality and obesity prevalence among OECD countries.

PubMed

Su, Dejun; Esqueda, Omar A; Li, Lifeng; Pagán, José A

2012-07-01

Using recent pooled data from the World Health Organization Global Infobase and the World Factbook compiled by the Central Intelligence Agency of the United States, this study assesses the relation between income inequality and obesity prevalence among 31 OECD countries through a series of bivariate and multivariate linear regressions. The United States and Mexico well lead OECD countries in both obesity prevalence and income inequality. A sensitivity analysis suggests that the inclusion or exclusion of these two extreme cases can fundamentally change the findings. When the two countries are included, the results reveal a positive correlation between income inequality and obesity prevalence. This correlation is more salient among females than among males. Income inequality alone is associated with 16% and 35% of the variations in male and female obesity rates, respectively, across OECD countries in 2010. Higher levels of income inequality in the 2005-2010 period were associated with a more rapid increase in obesity prevalence from 2002 to 2010. These associations, however, virtually disappear when the US and Mexico have been excluded from the analysis. Findings from this study underscore the importance of assessing the impact of extreme cases on the relation between income inequality and health outcomes. The potential pathways from income inequality to the alarmingly high rates of obesity in the cases of the US and Mexico warrant further research.

Income inequality and schizophrenia: increased schizophrenia incidence in countries with high levels of income inequality.

PubMed

Burns, Jonathan K; Tomita, Andrew; Kapadia, Amy S

2014-03-01

Income inequality is associated with numerous negative health outcomes. There is evidence that ecological-level socio-environmental factors may increase risk for schizophrenia. The aim was to investigate whether measures of income inequality are associated with incidence of schizophrenia at the country level. We conducted a systematic review of incidence rates for schizophrenia, reported between 1975 and 2011. For each country, national measures of income inequality (Gini coefficient) along with covariate risk factors for schizophrenia were obtained. Multi-level mixed-effects Poisson regression was performed to investigate the relationship between Gini coefficients and incidence rates of schizophrenia controlling for covariates. One hundred and seven incidence rates (from 26 countries) were included. Mean incidence of schizophrenia was 18.50 per 100,000 (SD = 11.9; range = 1.7-67). There was a significant positive relationship between incidence rate of schizophrenia and Gini coefficient (β = 1.02; Z = 2.28; p = .02; 95% CI = 1.00, 1.03). Countries characterized by a large rich-poor gap may be at increased risk of schizophrenia. We suggest that income inequality impacts negatively on social cohesion, eroding social capital, and that chronic stress associated with living in highly disparate societies places individuals at risk of schizophrenia.

Changes in income inequality and the health of immigrants

PubMed Central

Hamilton, Tod G.; Kawachi, Ichiro

2016-01-01

Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. PMID:23352417

Impact of Income Inequality on the Nation's Health.

PubMed

López, Diego B; Loehrer, Andrew P; Chang, David C

2016-10-01

Income inequality in the United States has been increasing in recent decades. It is unclear whether income inequality has an independent effect on health outcomes, or whether it simply correlates with increasing levels of poverty. The goal of this study was to evaluate whether income inequality is significantly associated with US county health care expenditures and health care use. Cross-sectional analysis of county health expenditure data from the Health Resources and Services Administration's Area Resources File, county income inequality measures (Gini coefficient) from the Census' American Community Survey, and estimates of potentially preventable admissions and potentially discretionary procedures from the Nationwide Inpatient Sample (1998 to 2011). Datasets were linked via county Federal Information Processing Standard codes. Multivariable linear and Poisson regression analyses were performed at the county level adjusting for county characteristics. A total of 1,237 counties (of 3,144) were included. Income inequality was associated with higher health care expenditures, with each 1 percentage-point increase in county Gini coefficient associated with a US$40,008 increase in annual county Medicare cost (p = 0.003), and an increase of 174.7 total county Medicare inpatient days per year (p < 0.001). Even after accounting for poverty level and county characteristics, counties with higher inequality had higher potentially preventable admission (eg 4.86 rate ratio for low-birth-weight hospital admissions in the top income inequality quartile compared with bottom quartile; p < 0.001) and a higher incidence of potentially discretionary procedures (eg 1.79 rate ratio for prostatectomy for benign prostatic hyperplasia in the top income inequality quartile compared with bottom quartile; p < 0.001). Income inequality is independently associated with higher health care expenditures and more health care use, with increases in both potentially discretionary procedures and in

Socioeconomic and Tobacco Mediation of Ethnic Inequalities in Mortality over Time

PubMed Central

Disney, George; Valeri, Linda; Atkinson, June; Teng, Andrea; Wilson, Nick; Gurrin, Lyle

2018-01-01

Background: Racial/ethnic inequalities in mortality may be reducible by addressing socioeconomic factors and smoking. To our knowledge, this is the first study to estimate trends over multiple decades in (1) mediation of racial/ethnic inequalities in mortality (between Māori and Europeans in New Zealand) by socioeconomic factors, (2) additional mediation through smoking, and (3) inequalities had there never been smoking. Methods: We estimated natural (1 and 2 above) and controlled mediation effects (3 above) in census-mortality cohorts for 1981–1984 (1.1 million people), 1996–1999 (1.5 million), and 2006–2011 (1.5 million) for 25- to 74-year-olds in New Zealand, using a weighting of regression predicted outcomes. Results: Socioeconomic factors explained 46% of male inequalities in all three cohorts and made an increasing contribution over time among females from 30.4% (95% confidence interval = 18.1%, 42.7%) in 1981–1984 to 41.9% (36.0%, 48.0%). Including smoking with socioeconomic factors only modestly altered the percentage mediated for males, but more substantially increased it for females, for example, 7.7% (5.5%, 10.0%) in 2006–2011. A counterfactual scenario of having eradicated tobacco in the past (but unchanged socioeconomic distribution) lowered mortality for all sex-by-ethnic groups and resulted in a 12.2% (2.9%, 20.8%) and 21.2% (11.6%, 31.0%) reduction in the absolute mortality gap between Māori and Europeans in 2006–2011, for males and females, respectively. Conclusions: Our study predicts that, in this high-income country, reducing socioeconomic disparities between ethnic groups would greatly reduce ethnic inequalities in mortality over the long run. Eradicating tobacco would notably reduce ethnic inequalities in absolute but not relative mortality. PMID:29642084

Gender differences in socioeconomic inequality in mortality.

PubMed

Mustard, C A; Etches, J

2003-12-01

There is uncertainty about whether position in a socioeconomic hierarchy confers different mortality risks on men and women. The objective of this study was to conduct a systematic review of gender differences in socioeconomic inequality in risk of death. This research systematically reviewed observational cohort studies describing all cause or cause specific mortality for populations aged 25-64 in developed countries. For inclusion in the review, mortality had to be reported stratified by gender and by one or more measures of socioeconomic status. For all eligible studies, five absolute and six relative measures of the socioeconomic inequality in mortality were computed for male and female populations separately. A total of 136 published papers were reviewed for eligibility, with 58 studies deemed eligible for inclusion. Of these eligible studies, 20 papers published data that permitted the computation of both absolute and relative measures of inequality. Absolute measures of socioeconomic mortality inequality for men and women generally agreed, with about 90% of studies indicating that male mortality was more unequal than female mortality across socioeconomic groups. In contrast, the pattern of relative inequality results across the 20 studies suggested that male and female socioeconomic inequality in mortality was equivalent. Inferences about gender differences in socioeconomic inequality in mortality are sensitive to the choice of inequality measure. Wider understanding of this methodological issue would improve the clarity of the reporting and synthesis of evidence on the magnitude of health inequalities in populations.

Income Mobility Breeds Tolerance for Income Inequality: Cross-National and Experimental Evidence.

PubMed

Shariff, Azim F; Wiwad, Dylan; Aknin, Lara B

2016-05-01

American politicians often justify income inequality by referencing the opportunities people have to move between economic stations. Though past research has shown associations between income mobility and resistance to wealth redistribution policies, no experimental work has tested whether perceptions of mobility influence tolerance for inequality. In this article, we present a cross-national comparison showing that income mobility is associated with tolerance for inequality and experimental work demonstrating that perceptions of higher mobility directly affect attitudes toward inequality. We find support for both the prospect of upward mobility and the view that peoples' economic station is the product of their own efforts, as mediating mechanisms. © The Author(s) 2016.

Changes in income inequality and the health of immigrants.

PubMed

Hamilton, Tod G; Kawachi, Ichiro

2013-03-01

Research suggests that income inequality is inversely associated with health. This association has been documented in studies that utilize variation in income inequality across countries or across time from a single country. The primary criticism of these approaches is their inability to account for potential confounders that are associated with income inequality. This paper uses variation in individual experiences of income inequality among immigrants within the United States (U.S.) to evaluate whether individuals who moved from countries with greater income inequality than the U.S. have better health than those who migrated from countries with less income in equality than the U.S. Utilizing individual-level (March Current Population Survey) and country-level data (the United Nations Human Development Reports), we show that among immigrants who have resided in the U.S. between 6 and 20 years, self-reported health is more favorable for the immigrants in the former category (i.e., greater income inequality) than those in the latter (i.e., lower income inequality). Results also show that self-reported health is better among immigrants from more developed countries and those who have more years of education, are male, and are married. Copyright © 2012. Published by Elsevier Ltd.

Income Inequality and Happiness: An Inverted U-Shaped Curve.

PubMed

Yu, Zonghuo; Wang, Fei

2017-01-01

Numerous studies agree that income inequality, rather than absolute income, is an important predictor of happiness. However, its specific role has been controversial. We argue that income inequality and happiness should exhibit an inverted U-shaped relationship due to the dynamic competing process between two effects: when income inequality is relatively low, the signal effect will be the dominating factor, in which individuals feel happy because they consider income inequality as a signal of social mobility and expect upward mobility; however, if income inequality level increases beyond a critical point, the jealousy effect will become the dominating factor, in which individuals tend to be unhappy because they are disillusioned about the prospect of upward mobility and jealous of their wealthier peers. This hypothesis is tested in a longitudinal dataset on the United States and a cross-national dataset on several European countries. In both datasets, the Gini coefficient (a common index of a society's income inequality) and its quadratic term were significant predictors of personal happiness. Further examinations of the quadratic relationships showed that the signal effect was only presented in the European data, while the jealousy effect was presented in both datasets. These findings shed new light on our understanding of the relationship between income inequality and personal happiness.

Income Inequality and Happiness: An Inverted U-Shaped Curve

PubMed Central

Yu, Zonghuo; Wang, Fei

2017-01-01

Numerous studies agree that income inequality, rather than absolute income, is an important predictor of happiness. However, its specific role has been controversial. We argue that income inequality and happiness should exhibit an inverted U-shaped relationship due to the dynamic competing process between two effects: when income inequality is relatively low, the signal effect will be the dominating factor, in which individuals feel happy because they consider income inequality as a signal of social mobility and expect upward mobility; however, if income inequality level increases beyond a critical point, the jealousy effect will become the dominating factor, in which individuals tend to be unhappy because they are disillusioned about the prospect of upward mobility and jealous of their wealthier peers. This hypothesis is tested in a longitudinal dataset on the United States and a cross-national dataset on several European countries. In both datasets, the Gini coefficient (a common index of a society’s income inequality) and its quadratic term were significant predictors of personal happiness. Further examinations of the quadratic relationships showed that the signal effect was only presented in the European data, while the jealousy effect was presented in both datasets. These findings shed new light on our understanding of the relationship between income inequality and personal happiness. PMID:29225588

Better off than we know: distorted perceptions of incomes and income inequality in America.

PubMed

Chambers, John R; Swan, Lawton K; Heesacker, Martin

2014-02-01

Three studies examined Americans' perceptions of incomes and income inequality using a variety of criterion measures. Contrary to recent findings indicating that Americans underestimate wealth inequality, we found that Americans not only overestimated the rise of income inequality over time, but also underestimated average incomes. Thus, economic conditions in America are more favorable than people seem to realize. Furthermore, ideological differences emerged in two of these studies, such that political liberals overestimated the rise of inequality more than political conservatives. Implications of these findings for public policy debates and ideological disagreements are discussed.

Income inequality and child maltreatment in the United States.

PubMed

Eckenrode, John; Smith, Elliott G; McCarthy, Margaret E; Dineen, Michael

2014-03-01

To examine the relation between county-level income inequality and rates of child maltreatment. Data on substantiated reports of child abuse and neglect from 2005 to 2009 were obtained from the National Child Abuse and Neglect Data System. County-level data on income inequality and children in poverty were obtained from the American Community Survey. Data for additional control variables were obtained from the American Community Survey and the Health Resources and Services Administration Area Resource File. The Gini coefficient was used as the measure of income inequality. Generalized additive models were estimated to explore linear and nonlinear relations among income inequality, poverty, and child maltreatment. In all models, state was included as a fixed effect to control for state-level differences in victim rates. Considerable variation in income inequality and child maltreatment rates was found across the 3142 US counties. Income inequality, as well as child poverty rate, was positively and significantly correlated with child maltreatment rates at the county level. Controlling for child poverty, demographic and economic control variables, and state-level variation in maltreatment rates, there was a significant linear effect of inequality on child maltreatment rates (P < .0001). This effect was stronger for counties with moderate to high levels of child poverty. Higher income inequality across US counties was significantly associated with higher county-level rates of child maltreatment. The findings contribute to the growing literature linking greater income inequality to a range of poor health and well-being outcomes in infants and children.

Income inequality, poverty and crime across nations.

PubMed

Pare, Paul-Philippe; Felson, Richard

2014-09-01

We examine the relationship between income inequality, poverty, and different types of crime. Our results are consistent with recent research in showing that inequality is unrelated to homicide rates when poverty is controlled. In our multi-level analyses of the International Crime Victimization Survey we find that inequality is unrelated to assault, robbery, burglary, and theft when poverty is controlled. We argue that there are also theoretical reasons to doubt that the level of income inequality of a country affects the likelihood of criminal behaviour. © London School of Economics and Political Science 2014.

Income, income inequality and youth smoking in low- and middle-income countries.

PubMed

Li, David X; Guindon, G Emmanuel

2013-04-01

To examine the relationships between income, income inequality and current smoking among youth in low- and middle-income countries. Pooled cross-sectional data from the Global Youth Tobacco Surveys, conducted in low- and middle-income countries, were used to conduct multi-level logistic analyses that accounted for the nesting of students in schools and of schools in countries. A total of 169 283 students aged 13-15 from 63 low- and middle-income countries. Current smoking was defined as having smoked at least one cigarette in the past 30 days. Gross domestic product (GDP) per capita was our measure of absolute income. Contemporaneous and lagged (10-year) Gini coefficients, as well as the income share ratio of the top decile of incomes to the bottom decile, were our measures of income inequality. Our analyses reveal a significant positive association between levels of income and youth smoking. We find that a 10% increase in GDP per capita increases the odds of being a current smoker by at least 2.5%, and potentially considerably more. Our analyses also suggest a relationship between the distribution of incomes and youth smoking: youth from countries with more unequal distributions of income tend to have higher odds of currently smoking. There is a positive association between gross domestic product and the odds of a young person in a low- and middle-income country being a current smoker. Given the causal links between smoking and a wide range of youth morbidities, the association between smoking and income inequality may underlie a substantial portion of the health disparities observed that are currently experiencing rapid economic growth. © 2012 The Authors, Addiction © 2012 Society for the Study of Addiction.

Early-life income inequality and adolescent health and well-being.

PubMed

Elgar, Frank J; Gariépy, Geneviève; Torsheim, Torbjørn; Currie, Candace

2017-02-01

A prevailing hypothesis about the association between income inequality and poor health is that inequality intensifies social hierarchies, increases stress, erodes social and material resources that support health, and subsequently harms health. However, the evidence in support of this hypothesis is limited by cross-sectional, ecological studies and a scarcity of developmental studies. To address this limitation, we used pooled, multilevel data from the Health Behaviour in School-aged Children study to examine lagged, cumulative, and trajectory associations between early-life income inequality and adolescent health and well-being. Psychosomatic symptoms and life satisfaction were assessed in surveys of 11- to 15-year-olds in 40 countries between 1994 and 2014. We linked these data to national Gini indices of income inequality for every life year from 1979 to 2014. The results showed that exposure to income inequality from 0 to 4 years predicted psychosomatic symptoms and lower life satisfaction in females after controlling lifetime mean income inequality, national per capita income, family affluence, age, and cohort and period effects. The cumulative income inequality exposure in infancy and childhood (i.e., average Gini index from birth to age 10) related to lower life satisfaction in female adolescents but not to symptoms. Finally, individual trajectories in early-life inequality (i.e., linear slopes in Gini indices from birth to 10 years) related to fewer symptoms and higher life satisfaction in females, indicating that earlier exposures mattered more to predicting health and wellbeing. No such associations with early-life income inequality were found in males. These results help to establish the antecedent-consequence conditions in the association between income inequality and health and suggest that both the magnitude and timing of income inequality in early life have developmental consequences that manifest in reduced health and well-being in adolescent girls

Hispanic Population Growth and Rural Income Inequality

ERIC Educational Resources Information Center

Parrado, Emilio A.; Kandel, William A.

2010-01-01

We analyze the relationship between Hispanic population growth and changes in U.S. rural income inequality from 1990 through 2000. Applying comparative approaches used for urban areas we disentangle Hispanic population growth's contribution to inequality by comparing and statistically modeling changes in the family income Gini coefficient across…

[Income-related health inequalities in France in 2004: Decomposition and explanations].

PubMed

Tubeuf, S

2009-10-01

This analysis supplements existing work on social health inequalities at two levels: the measurement of health and the measurement of inequalities. Firstly, individual health status was measured using a subjective health indicator corrected within a promising cardinalisation method which had not yet been carried out on French data. Secondly, this study used an innovative methodology to measure income-related health inequalities, to understand the relationships between income, income inequality, various social determinants, and health. The analysis was based on a sample of working-age adults from the 2004 Health and Health Insurance Survey. The methodology used in the study measures the total income-related health inequality using the concentration index. This index is based on a linear model explaining health according to several individual characteristics, such as age, sex, and various socioeconomic characteristics. The method thus takes into account both the causal relationships between the various explicative factors introduced in the model and their relationship with health. Furthermore, it concretely measures the contribution of the social determinants to income-related health inequalities. The results show an income-related health inequality favouring individuals with a higher income. Moreover, income level, supplementary private health insurance, education level, and social class account for the main contributions to inequality. Therefore, the decomposition method highlights population groups that policies should target. The study suggests that reducing income inequality is not sufficient to lower income-related health inequalities in France in 2004 and needs to be supplemented with the reduction of the relationship between income and health and the reduction of income inequality over socioeconomic status.

The Dynamics of Wealth Inequality and the Effect of Income Distribution.

PubMed

Berman, Yonatan; Ben-Jacob, Eshel; Shapira, Yoash

2016-01-01

The rapid increase of wealth inequality in the past few decades is one of the most disturbing social and economic issues of our time. Studying its origin and underlying mechanisms is essential for policy aiming to control and even reverse this trend. In that context, controlling the distribution of income, using income tax or other macroeconomic policy instruments, is generally perceived as effective for regulating the wealth distribution. We provide a theoretical tool, based on the realistic modeling of wealth inequality dynamics, to describe the effects of personal savings and income distribution on wealth inequality. Our theoretical approach incorporates coupled equations, solved using iterated maps to model the dynamics of wealth and income inequality. Notably, using the appropriate historical parameter values we were able to capture the historical dynamics of wealth inequality in the United States during the course of the 20th century. It is found that the effect of personal savings on wealth inequality is substantial, and its major decrease in the past 30 years can be associated with the current wealth inequality surge. In addition, the effect of increasing income tax, though naturally contributing to lowering income inequality, might contribute to a mild increase in wealth inequality and vice versa. Plausible changes in income tax are found to have an insignificant effect on wealth inequality, in practice. In addition, controlling the income inequality, by progressive taxation, for example, is found to have a very small effect on wealth inequality in the short run. The results imply, therefore, that controlling income inequality is an impractical tool for regulating wealth inequality.

National income inequality and ineffective health insurance in 35 low- and middle-income countries.

PubMed

Alvarez, Francisco N; El-Sayed, Abdulrahman M

2017-05-01

Global health policy efforts to improve health and reduce financial burden of disease in low- and middle-income countries (LMIC) has fuelled interest in expanding access to health insurance coverage to all, a movement known as Universal Health Coverage (UHC). Ineffective insurance is a measure of failure to achieve the intended outcomes of health insurance among those who nominally have insurance. This study aimed to evaluate the relation between national-level income inequality and the prevalence of ineffective insurance. We used Standardized World Income Inequality Database (SWIID) Gini coefficients for 35 LMICs and World Health Survey (WHS) data about insurance from 2002 to 2004 to fit multivariable regression models of the prevalence of ineffective insurance on national Gini coefficients, adjusting for GDP per capita. Greater inequality predicted higher prevalence of ineffective insurance. When stratifying by individual-level covariates, higher inequality was associated with greater ineffective insurance among sub-groups traditionally considered more privileged: youth, men, higher education, urban residence and the wealthiest quintile. Stratifying by World Bank country income classification, higher inequality was associated with ineffective insurance among upper-middle income countries but not low- or lower-middle income countries. We hypothesize that these associations may be due to the imprint of underlying social inequalities as countries approach decreasing marginal returns on improved health insurance by income. Our findings suggest that beyond national income, income inequality may predict differences in the quality of insurance, with implications for efforts to achieve UHC. © The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

The relationships between income inequality, welfare regimes and aggregate health: a systematic review.

PubMed

Kim, Ki-Tae

2017-06-01

: When analysing the relationships between income inequality, welfare regimes and aggregate health at the cross-national level, previous primary articles and systematic reviews reach inconsistent conclusions. Contrary to theoretical expectations, equal societies or the Social Democratic welfare regime do not always have the best aggregate health when compared with those of other relatively unequal societies or other welfare regimes. This article will shed light on the controversial subjects with a new decomposition systematic review method. The decomposition systematic review method breaks down an individual empirical article, if necessary, into multiple findings based on an article's use of the following four components: independent variable, dependent variable, method and dataset. This decomposition method extracts 107 findings from the selected 48 articles, demonstrating the dynamics between the four components. 'The age threshold effect' is recognized over which the hypothesized relations between income inequality, welfare regimes and aggregate health reverse. The hypothesis is supported mainly for younger infant and child health indicators, but not for adult health or general health indicators such as life expectancy. Further three threshold effects (income, gender and period) have also been put forward. The negative relationship between income inequality and aggregate health, often termed as the Wilkinson Hypothesis, was not generally observed in all health indicators except for infant and child mortality. The Scandinavian welfare regime reveals worse-than-expected outcomes in all health indicators except infant and child mortality. © The Author 2017. Published by Oxford University Press on behalf of the European Public Health Association. All rights reserved.

Income inequality: A complex network analysis of US states

NASA Astrophysics Data System (ADS)

Gogas, Periklis; Gupta, Rangan; Miller, Stephen M.; Papadimitriou, Theophilos; Sarantitis, Georgios Antonios

2017-10-01

This study performs a long-run, inter-temporal analysis of income inequality in the US spanning the period 1916-2012. We employ both descriptive analysis and the Threshold-Minimum Dominating Set methodology from Graph Theory, to examine the evolution of inequality through time. In doing so, we use two alternative measures of inequality: the Top 1% share of income and the Gini coefficient. This provides new insight on the literature of income inequality across the US states. Several empirical findings emerge. First, a heterogeneous evolution of inequality exists across the four focal sub-periods. Second, the results differ between the inequality measures examined. Finally, we identify groups of similarly behaving states in terms of inequality. The US authorities can use these findings to identify inequality trends and innovations and/or examples to investigate the causes of inequality within the US and implement appropriate policies.

The Dynamics of Wealth Inequality and the Effect of Income Distribution

PubMed Central

Berman, Yonatan; Shapira, Yoash

2016-01-01

The rapid increase of wealth inequality in the past few decades is one of the most disturbing social and economic issues of our time. Studying its origin and underlying mechanisms is essential for policy aiming to control and even reverse this trend. In that context, controlling the distribution of income, using income tax or other macroeconomic policy instruments, is generally perceived as effective for regulating the wealth distribution. We provide a theoretical tool, based on the realistic modeling of wealth inequality dynamics, to describe the effects of personal savings and income distribution on wealth inequality. Our theoretical approach incorporates coupled equations, solved using iterated maps to model the dynamics of wealth and income inequality. Notably, using the appropriate historical parameter values we were able to capture the historical dynamics of wealth inequality in the United States during the course of the 20th century. It is found that the effect of personal savings on wealth inequality is substantial, and its major decrease in the past 30 years can be associated with the current wealth inequality surge. In addition, the effect of increasing income tax, though naturally contributing to lowering income inequality, might contribute to a mild increase in wealth inequality and vice versa. Plausible changes in income tax are found to have an insignificant effect on wealth inequality, in practice. In addition, controlling the income inequality, by progressive taxation, for example, is found to have a very small effect on wealth inequality in the short run. The results imply, therefore, that controlling income inequality is an impractical tool for regulating wealth inequality. PMID:27105224

Income Inequality, Global Economy and the State

ERIC Educational Resources Information Center

Lee, Cheol-Sung; Nielsen, Francois; Alderson, Arthur S.

2007-01-01

We investigate interrelationship among income inequality, global economy and the role of the state using an unbalanced panel data set with 311 observations on 60 countries, dated from 1970 to 1994. The analysis proceeds in two stages. First, we test for effects on income inequality of variables characterizing the situation of a society in the…

Health-income inequality: the effects of the Icelandic economic collapse.

PubMed

Asgeirsdóttir, Tinna Laufey; Ragnarsdóttir, Dagný Osk

2014-07-25

Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18-79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal expenditures go to limiting the relationship

Health-income inequality: the effects of the Icelandic economic collapse

PubMed Central

2014-01-01

Introduction Health-income inequality has been the focus of many studies. The relationship between economic conditions and health has also been widely studied. However, not much is known about how changes in aggregate economic conditions relate to health-income inequality. Nevertheless, such knowledge would have both scientific and practical value as substantial public expenditures are used to decrease such inequalities and opportunities to do so may differ over the business cycle. For this reason we examine the effect of the Icelandic economic collapse in 2008 on health-income inequality. Methods The data used come from a health and lifestyle survey carried out by the Public Health Institute of Iceland in 2007 and 2009. A stratified random sample of 9,807 individuals 18–79 years old received questionnaires and a total of 42.1% answered in both years. As measures of health-income inequality, health-income concentration indices are calculated and decomposed into individual-level determinants. Self-assessed health is used as the health measure in the analyses, but three different measures of income are used: individual income, household income, and equivalized household income. Results In both years there is evidence of health-income inequality favoring the better off. However, changes are apparent between years. For males health-income inequality increases after the crisis while it remains fairly stable for females or slightly decreases. The decomposition analyses show that income itself and disability constitute the most substantial determinants of inequality. The largest increases in contributions between years for males come from being a student, having low education and being obese, as well as age and income but those changes are sensitive to the income measure used. Conclusions Changes in health and income over the business cycle can differ across socioeconomic strata, resulting in cyclicality of income-related health distributions. As substantial fiscal

Province-Level Income Inequality and Health Outcomes in Canadian Adolescents

PubMed Central

McGrath, Jennifer J.

2015-01-01

Objective To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Methods Participants (aged 12–17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Results Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Conclusions Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. PMID:25324533

What explains the association between neighborhood-level income inequality and the risk of fatal overdose in New York City?

PubMed

Nandi, Arijit; Galea, Sandro; Ahern, Jennifer; Bucciarelli, Angela; Vlahov, David; Tardiff, Kenneth

2006-08-01

Accidental drug overdose is a substantial cause of mortality for drug users. Using a multilevel case-control study we previously have shown that neighborhood-level income inequality may be an important determinant of overdose death independent of individual-level factors. Here we hypothesized that the level of environmental disorder, the level of police activity, and the quality of the built environment in a neighborhood mediate this association. Data from the New York City (NYC) Mayor's Management Report, the NYC Police Department, and the NYC Housing and Vacancy Survey were used to define constructs for the level of environmental disorder, the level of police activity and the quality of the built environment, respectively. In multivariable models the odds of death due to drug overdose in neighborhoods in the top decile of income inequality compared to the most equitable neighborhoods decreased from 1.63 to 1.12 when adjusting for the three potential mediators. Path analyses show that the association between income inequality and the rate of drug overdose mortality was primarily explained by an indirect effect through the level of environmental disorder and the quality of the built environment in a neighborhood. Implications of these findings for the reduction of drug overdose mortality associated with the distribution of income are discussed.

Does income inequality have lasting effects on health and trust?

PubMed

Rözer, Jesper Jelle; Volker, Beate

2016-01-01

According to the income inequality hypothesis, income inequality is associated with poorer health. One important proposed mechanism for this effect is reduced trust. In this study, we argue that income inequality during a person's formative years (i.e., around age 16) may have lasting consequences for trust and health. Multilevel analyses of data from the combined World Values Survey and European Values Study that were collected between 1981 and 2014 support our prediction and show that income inequality is associated with ill health in young adults, in part because it reduces their social trust. The negative consequences of income inequality remain stable for a substantial period of life but eventually fade away and have no effect after age 36. Copyright © 2015 Elsevier Ltd. All rights reserved.

Beyond the income inequality hypothesis and human health: a worldwide exploration.

PubMed

Idrovo, Alvaro J; Ruiz-Rodríguez, Myriam; Manzano-Patiño, Abigail P

2010-08-01

To analyze whether the relationship between income inequality and human health is mediated through social capital, and whether political regime determines differences in income inequality and social capital among countries. Path analysis of cross sectional ecological data from 110 countries. Life expectancy at birth was the outcome variable, and income inequality (measured by the Gini coefficient), social capital (measured by the Corruption Perceptions Index or generalized trust), and political regime (measured by the Index of Freedom) were the predictor variables. Corruption Perceptions Index (an indirect indicator of social capital) was used to include more developing countries in the analysis. The correlation between Gini coefficient and predictor variables was calculated using Spearman's coefficients. The path analysis was designed to assess the effect of income inequality, social capital proxies and political regime on life expectancy. The path coefficients suggest that income inequality has a greater direct effect on life expectancy at birth than through social capital. Political regime acts on life expectancy at birth through income inequality. Income inequality and social capital have direct effects on life expectancy at birth. The "class/welfare regime model" can be useful for understanding social and health inequalities between countries, whereas the "income inequality hypothesis" which is only a partial approach is especially useful for analyzing differences within countries.

Income inequality within urban settings and depressive symptoms among adolescents.

PubMed

Pabayo, Roman; Dunn, Erin C; Gilman, Stephen E; Kawachi, Ichiro; Molnar, Beth E

2016-10-01

Although recent evidence has shown that area-level income inequality is related to increased risk for depression among adults, few studies have tested this association among adolescents. We analysed the cross-sectional data from a sample of 1878 adolescents living in 38 neighbourhoods participating in the 2008 Boston Youth Survey. Using multilevel linear regression modelling, we: (1) estimated the association between neighbourhood income inequality and depressive symptoms, (2) tested for cross-level interactions between sex and neighbourhood income inequality and (3) examined neighbourhood social cohesion as a mediator of the relationship between income inequality and depressive symptoms. The association between neighbourhood income inequality and depressive symptoms varied significantly by sex, with girls in higher income inequality neighbourhood reporting higher depressive symptom scores, but not boys. Among girls, a unit increase in Gini Z-score was associated with more depressive symptoms (β=0.38, 95% CI 0.28 to 0.47, p=0.01) adjusting for nativity, neighbourhood income, social cohesion, crime and social disorder. There was no evidence that the association between income inequality and depressive symptoms was due to neighbourhood-level differences in social cohesion. The distribution of incomes within an urban area adversely affects adolescent girls' mental health; future work is needed to understand why, as well as to examine in greater depth the potential consequences of inequality for males, which may have been difficult to detect here. 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/

Income inequality and alcohol attributable harm in Australia.

PubMed

Dietze, Paul M; Jolley, Damien J; Chikritzhs, Tanya N; Clemens, Susan; Catalano, Paul; Stockwell, Tim

2009-02-25

There is little research on the relationship between key socioeconomic variables and alcohol related harms in Australia. The aim of this research was to examine the relationship between income inequality and the rates of alcohol-attributable hospitalisation and death at a local-area level in Australia. We conducted a cross sectional ecological analysis at a Local Government Area (LGA) level of associations between data on alcohol caused harms and income inequality data after adjusting for socioeconomic disadvantage and remoteness of LGAs.The main outcome measures used were matched rate ratios for four measures of alcohol caused harm; acute (primarily related to the short term consequences of drinking) and chronic (primarily related to the long term consequences of drinking) alcohol-attributable hospitalisation and acute and chronic alcohol-attributable death. Matching was undertaken using control conditions (non-alcohol-attributable) at an LGA level. A total of 885 alcohol-attributable deaths and 19467 alcohol-attributable hospitalisations across all LGAs were available for analysis. After weighting by the total number of cases in each LGA, the matched rate ratios of acute and chronic alcohol-attributable hospitalisation and chronic alcohol-attributable death were associated with the squared centred Gini coefficients of LGAs. This relationship was evident after adjusting for socioeconomic disadvantage and remoteness of LGAs. For both measures of hospitalisation the relationship was curvilinear; increases in income inequality were initially associated with declining rates of hospitalisation followed by large increases as the Gini coefficient increased beyond 0.15. The pattern for chronic alcohol-attributable death was similar, but without the initial decrease. There was no association between income inequality and acute alcohol-attributable death, probably due to the relatively small number of these types of death. We found a curvilinear relationship between income

Association between gender inequality index and child mortality rates: a cross-national study of 138 countries.

PubMed

Brinda, Ethel Mary; Rajkumar, Anto P; Enemark, Ulrika

2015-03-09

Gender inequality weakens maternal health and harms children through many direct and indirect pathways. Allied biological disadvantage and psychosocial adversities challenge the survival of children of both genders. United Nations Development Programme (UNDP) has recently developed a Gender Inequality Index to measure the multidimensional nature of gender inequality. The global impact of Gender Inequality Index on the child mortality rates remains uncertain. We employed an ecological study to investigate the association between child mortality rates and Gender Inequality Indices of 138 countries for which UNDP has published the Gender Inequality Index. Data on child mortality rates and on potential confounders, such as, per capita gross domestic product and immunization coverage, were obtained from the official World Health Organization and World Bank sources. We employed multivariate non-parametric robust regression models to study the relationship between these variables. Women in low and middle income countries (LMICs) suffer significantly more gender inequality (p < 0.001). Gender Inequality Index (GII) was positively associated with neonatal (β = 53.85; 95% CI 41.61-64.09), infant (β = 70.28; 95% CI 51.93-88.64) and under five mortality rates (β = 68.14; 95% CI 49.71-86.58), after adjusting for the effects of potential confounders (p < 0.001). We have documented statistically significant positive associations between GII and child mortality rates. Our results suggest that the initiatives to curtail child mortality rates should extend beyond medical interventions and should prioritize women's rights and autonomy. We discuss major pathways connecting gender inequality and child mortality. We present the socio-economic problems, which sustain higher gender inequality and child mortality in LMICs. We further discuss the potential solutions pertinent to LMICs. Dissipating gender barriers and focusing on social well-being of women may augment the survival of

Educational inequalities in tuberculosis mortality in sixteen European populations

PubMed Central

Álvarez, J. L.; Kunst, A. E.; Leinsalu, M.; Bopp, M.; Strand, B. H.; Menvielle, Gwenn; Lundberg, O.; Martikainen, P.; Deboosere, P.; Kalediene, R.; Artnik, B.; Mackenbach, J. P.; Richardus, J. H.

2011-01-01

Objective We aim to describe the magnitude of socioeconomic inequalities in tuberculosis (TB) mortality by level of education in male, female, urban, and rural populations in several European countries. Design Data were obtained from the Eurothine project covering 16 populations between 1990 and 2003. Age- and sex-standardized mortality rates, the Relative Index of Inequality, and the slope index of inequality were used to assess educational inequalities. Results The number of TB deaths reported was 8530, with a death rate of 3 per 100 000 per year, of which 73% were males. Educational inequalities in TB mortality were present in all European populations. Inequalities in TB mortality were larger than in total mortality. Relative and absolute inequalities were large in Eastern Europe, and Baltic countries but relatively small in Southern countries and in Norway, Finland, and Sweden. Mortality inequalities were observed among both men and women, and in both rural and urban populations. Conclusions Socioeconomic inequalities in TB mortality exist in all European countries. Firm political commitment is required to reduce inequalities in the social determinants of TB incidence. Targeted public health measures are called for to improve vulnerable groups’ access to treatment and thereby reduce TB mortality. PMID:22008757

[Mental income inequality: a "virus" which affects health and happiness].

PubMed

Bouffard, Léandre; Dubé, Micheline

2013-01-01

The purpose of this paper is to demonstrate the impact of income inequality on various indexes of mental health and on happiness in wealthy nations. Initially, the unequal distribution of income is documented in wealthy nations, especially in the United States of America. After the World War II, income equality was at a level never reached before, but since the eighties, income inequality has raised dramatically in many industrialized countries. The 2008 crisis has worsened the situation in many of them, particularly in the United States. Furthermore, prejudices have increased against women, Blacks, Spanish-speakers and those who receive social welfare. A selective review of the literature is made in order to document the impact of income inequality on a few indicators of mental health (from WHO, UN, UNICEF, OCDE and World Bank) and on happiness, defined here as life satisfaction. Income inequality is positively related to the following indexes: Index of Mental Illness from the WHO (0.73), Index of the United Nations' Office on Drug Consumption (0.63) and a composite Index of ten psychosocial problems, constituted by Wilkinson and Pickett, 2013 (0.87). On the other hand, income inequality is negatively associated to the UNICEF Index of Child Well-Being (-0.71). Furthermore, the level of anxiety and of depression is higher in countries where income inequality is greater. The correlation between happiness and income inequality in the 23 wealthy nations is -0.48; this correlation becomes -0.41 after control of the effect of the GNP (Gross National Product). These results support the idea that it is relative income - not absolute income - which matters in the evaluation of our life and of our happiness. In underdeveloped nations, any increase in GNP promotes the well-being of the citizens; whereas in wealthy nations, it is the equality of the distribution that is more important. Many arguments supporting the causal relation from income inequality to psychosocial

Education's Effect on Income Inequality: An Economic Globalisation Perspective

ERIC Educational Resources Information Center

Wells, Ryan

2006-01-01

Utilising a globalisation framework this study contributes to discussions concerning inequality, education, and development by re-examining the effects of educational and economic variables on income inequality. This research shows that the effects of education on income inequality are affected by the level of economic freedom in a country, and…

Province-level income inequality and health outcomes in Canadian adolescents.

PubMed

Quon, Elizabeth C; McGrath, Jennifer J

2015-03-01

To examine the effects of provincial income inequality (disparity between rich and poor), independent of provincial income and family socioeconomic status, on multiple adolescent health outcomes. Participants (aged 12-17 years; N = 11,899) were from the Canadian National Longitudinal Survey of Children and Youth. Parental education, household income, province income inequality, and province mean income were measured. Health outcomes were measured across a number of domains, including self-rated health, mental health, health behaviors, substance use behaviors, and physical health. Income inequality was associated with injuries, general physical symptoms, and limiting conditions, but not associated with most adolescent health outcomes and behaviors. Income inequality had a moderating effect on family socioeconomic status for limiting conditions, hyperactivity/inattention, and conduct problems, but not for other outcomes. Province-level income inequality was associated with some physical and mental health outcomes in adolescents, which has research and policy implications for this age-group. © The Author 2014. Published by Oxford University Press on behalf of the Society of Pediatric Psychology. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Decomposing socioeconomic inequality in infant mortality in Iran.

PubMed

Hosseinpoor, Ahmad Reza; Van Doorslaer, Eddy; Speybroeck, Niko; Naghavi, Mohsen; Mohammad, Kazem; Majdzadeh, Reza; Delavar, Bahram; Jamshidi, Hamidreza; Vega, Jeanette

2006-10-01

Although measuring socioeconomic inequality in population health indicators like infant mortality is important, more interesting for policy purposes is to try to explain infant mortality inequality. The objective of this paper is to quantify for the first time the determinants' contributions of socioeconomic inequality in infant mortality in Iran. A nationally representative sample of 108 875 live births from October 1990 to September 1999 was selected. The data were taken from the Iranian Demographic and Health Survey (DHS) conducted in 2000. Households' socioeconomic status was measured using principal component analysis. The concentration index of infant mortality was used as our measure of socioeconomic inequality and decomposed into its determining factors. The largest contributions to inequality in infant mortality were owing to household economic status (36.2%) and mother's education (20.9%). Residency in rural/urban areas (13.9%), birth interval (13.0%), and hygienic status of toilet (11.9%) also proved important contributors to the measured inequality. The findings indicate that socioeconomic inequality in infant mortality in Iran is determined not only by health system functions but also by factors beyond the scope of health authorities and care delivery system. This implies that in addition to reducing inequalities in wealth and education, investments in water and sanitation infrastructure and programmes (especially in rural areas) are necessary to realize improvements of inequality in infant mortality across society. These findings can be instrumental for the recent 5 year Economic, Social and Cultural Development Plan of Iran, which identified the reduction of inequalities in social determinants of health.

Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research

PubMed Central

Friedman, Samuel R.; Tempalski, Barbara; Brady, Joanne E.; West, Brooke S.; Pouget, Enrique R.; Williams, Leslie D.; Des Jarlais, Don C.; Cooper, Hannah L.F.

2017-01-01

This paper reviews and then discusses selected findings from a seventeen year study about the population prevalence of people who inject drugs (PWID) and of HIV prevalence and mortality among PWID in 96 large US metropolitan areas. Unlike most research, this study was conducted with the metropolitan area as the level of analysis. It found that metropolitan area measures of income inequality and of structural racism predicted all of these outcomes, and that rates of arrest for heroin and/or cocaine predicted HIV prevalence and mortality but did not predict changes in PWID population prevalence. Income inequality and measures of structural racism were associated with hard drug arrests or other properties of policing. These findings, whose limitations and implications for further research are discussed, suggest that efforts to respond to HIV and to drug injection should include supra-individual efforts to reduce both income inequality and racism. At a time when major social movements in many countries are trying to reduce inequality, racism and oppression (including reforming drug laws), these macro-social issues in public health should be both addressable and a priority in both research and action. PMID:27198555

Income inequality, drug-related arrests, and the health of people who inject drugs: Reflections on seventeen years of research.

PubMed

Friedman, Samuel R; Tempalski, Barbara; Brady, Joanne E; West, Brooke S; Pouget, Enrique R; Williams, Leslie D; Des Jarlais, Don C; Cooper, Hannah L F

2016-06-01

This paper reviews and then discusses selected findings from a seventeen year study about the population prevalence of people who inject drugs (PWID) and of HIV prevalence and mortality among PWID in 96 large US metropolitan areas. Unlike most research, this study was conducted with the metropolitan area as the level of analysis. It found that metropolitan area measures of income inequality and of structural racism predicted all of these outcomes, and that rates of arrest for heroin and/or cocaine predicted HIV prevalence and mortality but did not predict changes in PWID population prevalence. Income inequality and measures of structural racism were associated with hard drug arrests or other properties of policing. These findings, whose limitations and implications for further research are discussed, suggest that efforts to respond to HIV and to drug injection should include supra-individual efforts to reduce both income inequality and racism. At a time when major social movements in many countries are trying to reduce inequality, racism and oppression (including reforming drug laws), these macro-social issues in public health should be both addressable and a priority in both research and action. Copyright © 2016 Elsevier B.V. All rights reserved.

Income inequality in Romania: The exponential-Pareto distribution

NASA Astrophysics Data System (ADS)

Oancea, Bogdan; Andrei, Tudorel; Pirjol, Dan

2017-03-01

We present a study of the distribution of the gross personal income and income inequality in Romania, using individual tax income data, and both non-parametric and parametric methods. Comparing with official results based on household budget surveys (the Family Budgets Survey and the EU-SILC data), we find that the latter underestimate the income share of the high income region, and the overall income inequality. A parametric study shows that the income distribution is well described by an exponential distribution in the low and middle incomes region, and by a Pareto distribution in the high income region with Pareto coefficient α = 2.53. We note an anomaly in the distribution in the low incomes region (∼9,250 RON), and present a model which explains it in terms of partial income reporting.

Whose health is affected by income inequality? A multilevel interaction analysis of contemporaneous and lagged effects of state income inequality on individual self-rated health in the United States.

PubMed

Subramanian, S V; Kawachi, Ichiro

2006-06-01

The empirical relationship between income inequality and health has been much debated and discussed. Recent reviews suggest that the current evidence is mixed, with the relationship between state income inequality and health in the United States (US) being perhaps the most robust. In this paper, we examine the multilevel interactions between state income inequality, individual poor self-rated health, and a range of individual demographic and socioeconomic markers in the US. We use the pooled data from the 1995 and 1997 Current Population Surveys, and the data on state income inequality (represented using Gini coefficient) from the 1990, 1980, and 1970 US Censuses. Utilizing a cross-sectional multilevel design of 201,221 adults nested within 50 US states we calibrated two-level binomial hierarchical mixed models (with states specified as a random effect). Our analyses suggest that for a 0.05 change in the state income inequality, the odds ratio (OR) of reporting poor health was 1.30 (95% CI: 1.17-1.45) in a conditional model that included individual age, sex, race, marital status, education, income, and health insurance coverage as well as state median income. With few exceptions, we did not find strong statistical support for differential effects of state income inequality across different population groups. For instance, the relationship between state income inequality and poor health was steeper for whites compared to blacks (OR=1.34; 95% CI: 1.20-1.48) and for individuals with incomes greater than $75,000 compared to less affluent individuals (OR=1.65; 95% CI: 1.26-2.15). Our findings, however, primarily suggests an overall (as opposed to differential) contextual effect of state income inequality on individual self-rated poor health. To the extent that contemporaneous state income inequality differentially affects population sub-groups, our analyses suggest that the adverse impact of inequality is somewhat stronger for the relatively advantaged socioeconomic

Income inequality and high blood pressure in Colombia: a multilevel analysis.

PubMed

Lucumi, Diego I; Schulz, Amy J; Roux, Ana V Diez; Grogan-Kaylor, Andrew

2017-11-21

The objective of this research was to examine the association between income inequality and high blood pressure in Colombia. Using a nationally representative Colombian sample of adults, and data from departments and municipalities, we fit sex-stratified linear and logistic multilevel models with blood pressure as a continuous and binary variable, respectively. In adjusted models, women living in departments with the highest quintile of income inequality in 1997 had higher systolic blood pressure than their counterparts living in the lowest quintile of income inequality (mean difference 4.42mmHg; 95%CI: 1.46, 7.39). Women living in departments that were at the fourth and fifth quintile of income inequality in 1994 were more likely to have hypertension than those living in departments at the first quintile in the same year (OR: 1.56 and 1.48, respectively). For men, no associations of income inequality with either systolic blood pressure or hypertension were observed. Our findings are consistent with the hypothesis that income inequality is associated with increased risk of high blood pressure for women. Future studies to analyze pathways linking income inequality to high blood pressure in Colombia are needed.

Socioeconomic inequalities in mortality in 16 European cities.

PubMed

Borrell, Carme; Marí-Dell'olmo, Marc; Palència, Laia; Gotsens, Mercè; Burström, B O; Domínguez-Berjón, Felicitas; Rodríguez-Sanz, Maica; Dzúrová, Dagmar; Gandarillas, Ana; Hoffmann, Rasmus; Kovacs, Katalin; Marinacci, Chiara; Martikainen, Pekka; Pikhart, Hynek; Corman, Diana; Rosicova, Katarina; Saez, Marc; Santana, Paula; Tarkiainen, Lasse; Puigpinós, Rosa; Morrison, Joana; Pasarín, M Isabel; Díez, Èlia

2014-05-01

To explore inequalities in total mortality between small areas of 16 European cities for men and women, as well as to analyse the relationship between these geographical inequalities and their socioeconomic indicators. A cross-sectional ecological design was used to analyse small areas in 16 European cities (26,229,104 inhabitants). Most cities had mortality data for a period between 2000 and 2008 and population size data for the same period. Socioeconomic indicators included an index of socioeconomic deprivation, unemployment, and educational level. We estimated standardised mortality ratios and controlled for their variability using Bayesian models. We estimated relative risk of mortality and excess number of deaths according to socioeconomic indicators. We observed a consistent pattern of inequality in mortality in almost all cities, with mortality increasing in parallel with socioeconomic deprivation. Socioeconomic inequalities in mortality were more pronounced for men than women, and relative inequalities were greater in Eastern and Northern European cities, and lower in some Western (men) and Southern (women) European cities. The pattern of excess number of deaths was slightly different, with greater inequality in some Western and Northern European cities and also in Budapest, and lower among women in Madrid and Barcelona. In this study, we report a consistent pattern of socioeconomic inequalities in mortality in 16 European cities. Future studies should further explore specific causes of death, in order to determine whether the general pattern observed is consistent for each cause of death.

Individual Income, Area Deprivation, and Health: Do Income-Related Health Inequalities Vary by Small Area Deprivation?

PubMed

Siegel, Martin; Mielck, Andreas; Maier, Werner

2015-11-01

This paper aims to explore potential associations between health inequalities related to socioeconomic deprivation at the individual and the small area level. We use German cross-sectional survey data for the years 2002 and 2006, and measure small area deprivation via the German Index of Multiple Deprivation. We test the differences between concentration indices of income-related and small area deprivation related inequalities in obesity, hypertension, and diabetes. Our results suggest that small area deprivation and individual income both yield inequalities in health favoring the better-off, where individual income-related inequalities are significantly more pronounced than those related to small area deprivation. We then apply a semiparametric extension of Wagstaff's corrected concentration index to explore how individual-level health inequalities vary with the degree of regional deprivation. We find that the concentration of obesity, hypertension, and diabetes among lower income groups also exists at the small area level. The degree of deprivation-specific income-related inequalities in the three health outcomes exhibits only little variations across different levels of multiple deprivation for both sexes. Copyright © 2014 John Wiley & Sons, Ltd.

National Income, Inequality and Global Patterns of Cigarette Use

PubMed Central

Pampel, Fred

2011-01-01

Declining tobacco use in high-income nations and rising tobacco use in low- and middle-income nations raises questions about the sources of worldwide patterns of smoking. Theories posit a curvilinear influence of national income based on the balance of affordability and health-cost effects. In addition, however, economic inequality, gender inequality and government policies may moderate the rise and fall in smoking prevalence with national income. This study tests these arguments using aggregate data for 145 nations and measures of smoking prevalence circa 2000. The results show nonlinear effects of national income for males that take the form of an inverted U, but show linear effects for females. They also show non-additive effects of economic inequality for males that moderate both the rise and decline of smoking with national income and non-additive effects of gender equality for females that moderate the positive effect of national income. PMID:21874072

Publicly financed healthcare and income inequality in Canada.

PubMed

Corscadden, Lisa; Allin, Sara; Wolfson, Michael; Grignon, Michel

2014-01-01

Income inequality is currently the focus of considerable public and policy attention. Public services such as healthcare and education play a role in reducing income inequality in the population. This study looks at how healthcare affects the distribution of income across five income groups. Specifically, it estimates the tax contributions and the value of benefits received from physician services, drugs and hospital services over a person's lifetime. We found that benefits received from publicly funded healthcare in Canada reduce the income gap between the highest- and lowest-income groups by 16%. This analysis provides a starting point for future research to explore the distributional effects of different options for financing healthcare. Copyright © 2014 Longwoods Publishing.

Socioeconomic inequalities in premature mortality in Colombia, 1998-2007: the double burden of non-communicable diseases and injuries.

PubMed

Arroyave, Ivan; Burdorf, Alex; Cardona, Doris; Avendano, Mauricio

2014-07-01

Non-communicable diseases have become the leading cause of death in middle-income countries, but mortality from injuries and infections remains high. We examined the contribution of specific causes to disparities in adult premature mortality (ages 25-64) by educational level from 1998 to 2007 in Colombia. Data from mortality registries were linked to population censuses to obtain mortality rates by educational attainment. We used Poisson regression to model trends in mortality by educational attainment and estimated the contribution of specific causes to the Slope Index of Inequality. Men and women with only primary education had higher premature mortality than men and women with post-secondary education (RRmen=2.60, 95% confidence interval [CI]: 2.56, 2.64; RRwomen=2.36, CI: 2.31, 2.42). Mortality declined in all educational groups, but declines were significantly larger for higher-educated men and women. Homicide explained 55.1% of male inequalities while non-communicable diseases explained 62.5% of female inequalities and 27.1% of male inequalities. Infections explained a small proportion of inequalities in mortality. Injuries and non-communicable diseases contribute considerably to disparities in premature mortality in Colombia. Multi-sector policies to reduce both interpersonal violence and non-communicable disease risk factors are required to curb mortality disparities. Copyright © 2014 Elsevier Inc. All rights reserved.

Socioeconomic inequalities in premature mortality in Colombia, 1998-2007: The double burden of non-communicable diseases and injuries

PubMed Central

Arroyave, Ivan; Burdorf, Alex; Cardona, Doris; Avendano, Mauricio

2014-01-01

Objectives Non-communicable diseases have become the leading cause of death in middle-income countries, but mortality from injuries and infections remains high. We examined the contribution of specific causes to disparities in adult premature mortality (ages 25-64) by educational level from 1998 to 2007 in Colombia. Methods Data from mortality registries were linked to population censuses to obtain mortality rates by educational attainment. We used Poisson regression to model trends in mortality by educational attainment and estimated the contribution of specific causes to the Slope Index of Inequality. Results Men and women with only primary education had higher premature mortality than men and women with post-secondary education (RRmen=2·60, 95% confidence interval [CI]:2·56, 2·64; RRwomen=2·36, CI:2·31, 2·42). Mortality declined in all educational groups, but declines were significantly larger for higher-educated men and women. Homicide explained 55·1% of male inequalities while non-communicable diseases explained 62·5% of female inequalities and 27·1% of male inequalities. Infections explained a small proportion of inequalities in mortality. Conclusion Injuries and non-communicable diseases contribute considerably to disparities in premature mortality in Colombia. Multi-sector policies to reduce both interpersonal violence and non-communicable disease risk factors are required to curb mortality disparities. PMID:24674854

The Health Effects of Income Inequality: Averages and Disparities.

PubMed

Truesdale, Beth C; Jencks, Christopher

2016-01-01

Much research has investigated the association of income inequality with average life expectancy, usually finding negative correlations that are not very robust. A smaller body of work has investigated socioeconomic disparities in life expectancy, which have widened in many countries since 1980. These two lines of work should be seen as complementary because changes in average life expectancy are unlikely to affect all socioeconomic groups equally. Although most theories imply long and variable lags between changes in income inequality and changes in health, empirical evidence is confined largely to short-term effects. Rising income inequality can affect individuals in two ways. Direct effects change individuals' own income. Indirect effects change other people's income, which can then change a society's politics, customs, and ideals, altering the behavior even of those whose own income remains unchanged. Indirect effects can thus change both average health and the slope of the relationship between individual income and health.

Income inequality is associated with stronger social comparison effects: The effect of relative income on life satisfaction.

PubMed

Cheung, Felix; Lucas, Richard E

2016-02-01

Previous research has shown that having rich neighbors is associated with reduced levels of subjective well-being, an effect that is likely due to social comparison. The current study examined the role of income inequality as a moderator of this relative income effect. Multilevel analyses were conducted on a sample of more than 1.7 million people from 2,425 counties in the United States. Results showed that higher income inequality was associated with stronger relative income effects. In other words, people were more strongly influenced by the income of their neighbors when income inequality was high. (c) 2016 APA, all rights reserved).

Income Inequality Is Associated with Stronger Social Comparison Effects: The Effect of Relative Income on Life Satisfaction

PubMed Central

Cheung, Felix; Lucas, Richard E.

2015-01-01

Previous research has shown that having rich neighbors is associated with reduced levels of subjective well-being, an effect that is likely due to social comparison. The current study examined the role of income inequality as a moderator of this relative income effect. Multilevel analyses were conducted on a sample of over 1.7 million people from 2,425 counties in the United States. Results showed that higher income inequality was associated with stronger relative income effects. In other words, people were more strongly influenced by the income of their neighbors when income inequality was high. PMID:26191957

Rising U.S. income inequality, gender and individual self-rated health, 1972-2004.

PubMed

Zheng, Hui

2009-11-01

The effect of income inequality on health has been a contested topic among social scientists. Most previous research is based on cross-sectional comparisons rather than temporal comparisons. Using data from the General Social Survey and the U.S. Census Bureau, this study examines how rising income inequality affects individual self-rated health in the U.S. from 1972 to 2004. Data are analyzed using hierarchical generalized linear models. The findings suggest a significant association between income inequality and individual self-rated health. The dramatic increase in income inequality from 1972 to 2004 increases the odds of worse self-rated health by 9.4 percent. These findings hold for three measures of income inequality: the Gini coefficient, the Atkinson Index, and the Theil entropy index. Results also suggest that overall income inequality and gender-specific income inequality harm men's, but not women's, self-rated health. These findings also hold for the three measures of income inequality. These findings suggest that inattention to gender composition may explain apparent discrepancies across previous studies.

Decomposition of the Inequality of Income Distribution by Income Types—Application for Romania

NASA Astrophysics Data System (ADS)

Andrei, Tudorel; Oancea, Bogdan; Richmond, Peter; Dhesi, Gurjeet; Herteliu, Claudiu

2017-09-01

This paper identifies the salient factors that characterize the inequality income distribution for Romania. Data analysis is rigorously carried out using sophisticated techniques borrowed from classical statistics (Theil). Decomposition of the inequalities measured by the Theil index is also performed. This study relies on an exhaustive (11.1 million records for 2014) data-set for total personal gross income of Romanian citizens.

Is Income Inequality a Determinant of Population Health? Part 1. A Systematic Review

PubMed Central

Lynch, John; Smith, George Davey; Harper, Sam; Hillemeier, Marianne; Ross, Nancy; Kaplan, George A; Wolfson, Michael

2004-01-01

This article reviews 98 aggregate and multilevel studies examining the associations between income inequality and health. Overall, there seems to be little support for the idea that income inequality is a major, generalizable determinant of population health differences within or between rich countries. Income inequality may, however, directly influence some health outcomes, such as homicide in some contexts. The strongest evidence for direct health effects is among states in the United States, but even that is somewhat mixed. Despite little support for a direct effect of income inequality on health per se, reducing income inequality by raising the incomes of the most disadvantaged will improve their health, help reduce health inequalities, and generally improve population health. PMID:15016244

The dynamics of income-related health inequality among American children.

PubMed

Chatterji, Pinka; Lahiri, Kajal; Song, Jingya

2013-05-01

We estimate and decompose income-related inequality in child health in the USA and analyze its dynamics using the recently introduced health mobility index. Data come from the 1997, 2002, and 2007 waves of the Child Development Supplement of the Panel Study of Income Dynamics. The findings show that income-related child health inequality remains stable as children grow up and enter adolescence. The main factor underlying income-related child health inequality is income itself, although other factors, such as maternal education, also play a role. Decomposition of income-related health mobility indicates that health changes over time are more favorable to children with lower initial family incomes versus children with higher initial family incomes. However, offsetting this effect, our findings also suggest that changes in income ranking over time are positively related to children's subsequent health status. Copyright © 2012 John Wiley & Sons, Ltd.

Income inequality and subjective well-being: a systematic review and meta-analysis.

PubMed

Ngamaba, Kayonda Hubert; Panagioti, Maria; Armitage, Christopher J

2018-03-01

Reducing income inequality is one possible approach to boost subjective well-being (SWB). Nevertheless, previous studies have reported positive, null and negative associations between income inequality and SWB. This study reports the first systematic review and meta-analysis of the relationship between income inequality and SWB, and seeks to understand the heterogeneity in the literature. This systematic review was conducted according to guidance (PRISMA and Cochrane Handbook) and searches (between January 1980 and October 2017) were carried out using Web of Science, Medline, Embase and PsycINFO databases. Thirty-nine studies were included in the review, but poor data reporting meant that only 24 studies were included in the meta-analysis. The narrative analysis of 39 studies found negative, positive and null associations between income inequality and SWB. The meta-analysis confirmed these findings. The overall association between income inequality and SWB was almost zero and not statistically significant (pooled r = - 0.01, 95% CI - 0.08 to 0.06; Q = 563.10, I 2  = 95.74%, p < 0.001), suggesting no association between income inequality and SWB. Subgroup analyses showed that the association between income inequality and SWB was moderated by the country economic development (i.e. developed countries: r = - 0.06, 95% CI -0.10 to -0.02 versus developing countries: r = 0.16, 95% CI 0.09-0.23). The association between income inequality and SWB was not influenced by: (a) the measure used to assess SWB, (b) geographic region, or (c) the way in which income inequality was operationalised. The association between income inequality and SWB is weak, complex and moderated by the country economic development.

Association of Income Inequality With Pediatric Hospitalizations for Ambulatory Care-Sensitive Conditions.

PubMed

Bettenhausen, Jessica L; Colvin, Jeffrey D; Berry, Jay G; Puls, Henry T; Markham, Jessica L; Plencner, Laura M; Krager, Molly K; Johnson, Matthew B; Queen, Mary Ann; Walker, Jacqueline M; Latta, Grant M; Riss, Robert R; Hall, Matt

2017-06-05

The level of income inequality (ie, the variation in median household income among households within a geographic area), in addition to family-level income, is associated with worsened health outcomes in children. To determine the influence of income inequality on pediatric hospitalization rates for ambulatory care-sensitive conditions (ACSCs) and whether income inequality affects use of resources per hospitalization for ACSCs. This retrospective, cross-sectional analysis used the 2014 State Inpatient Databases of the Healthcare Cost and Utilization Project of 14 states to evaluate all hospital discharges for patients aged 0 to 17 years (hereafter referred to as children) from January 1 through December 31, 2014. Using the 2014 American Community Survey (US Census), income inequality (Gini index; range, 0 [perfect equality] to 1.00 [perfect inequality]), median household income, and total population of children aged 0 to 17 years for each zip code in the 14 states were measured. The Gini index for zip codes was divided into quartiles for low, low-middle, high-middle, and high income inequality. Rate, length of stay, and charges for pediatric hospitalizations for ACSCs. A total of 79 275 hospitalizations for ACSCs occurred among the 21 737 661 children living in the 8375 zip codes in the 14 included states. After adjustment for median household income and state of residence, ACSC hospitalization rates per 10 000 children increased significantly as income inequality increased from low (27.2; 95% CI, 26.5-27.9) to low-middle (27.9; 95% CI, 27.4-28.5), high-middle (29.2; 95% CI, 28.6-29.7), and high (31.8; 95% CI, 31.2-32.3) categories (P < .001). A significant, clinically unimportant longer length of stay was found for high inequality (2.5 days; 95% CI, 2.4-2.5 days) compared with low inequality (2.4 days; 95% CI, 2.4-2.5 days; P < .001) zip codes and between charges ($765 difference among groups; P < .001). Children living in areas of high income

Income-related inequalities and inequities in Irish healthcare utilization.

PubMed

Bourke, Jane

2009-08-01

The aim of this article is to determine the extent of and changes in horizontal inequity in general practitioner and medical specialist utilization in Ireland from 1997 to 2001. Horizontal equity refers to people in equal need of treatment receiving similar treatment regardless of income. After accounting for the differences in the need for such care, this study reports relatively low pro-poor horizontal inequity with respect to general practitioner utilization, increasing slightly between 1997 and 2001. This study finds that a generally pro-rich horizontal inequity distribution in 1997 is replaced by a generally pro-poor distribution in 2001 with respect to medical specialist utilization.

High economic inequality leads higher-income individuals to be less generous

PubMed Central

Côté, Stéphane; House, Julian; Willer, Robb

2015-01-01

Research on social class and generosity suggests that higher-income individuals are less generous than poorer individuals. We propose that this pattern emerges only under conditions of high economic inequality, contexts that can foster a sense of entitlement among higher-income individuals that, in turn, reduces their generosity. Analyzing results of a unique nationally representative survey that included a real-stakes giving opportunity (n = 1,498), we found that in the most unequal US states, higher-income respondents were less generous than lower-income respondents. In the least unequal states, however, higher-income individuals were more generous. To better establish causality, we next conducted an experiment (n = 704) in which apparent levels of economic inequality in participants’ home states were portrayed as either relatively high or low. Participants were then presented with a giving opportunity. Higher-income participants were less generous than lower-income participants when inequality was portrayed as relatively high, but there was no association between income and generosity when inequality was portrayed as relatively low. This research finds that the tendency for higher-income individuals to be less generous pertains only when inequality is high, challenging the view that higher-income individuals are necessarily more selfish, and suggesting a previously undocumented way in which inequitable resource distributions undermine collective welfare. PMID:26598668

High economic inequality leads higher-income individuals to be less generous.

PubMed

Côté, Stéphane; House, Julian; Willer, Robb

2015-12-29

Research on social class and generosity suggests that higher-income individuals are less generous than poorer individuals. We propose that this pattern emerges only under conditions of high economic inequality, contexts that can foster a sense of entitlement among higher-income individuals that, in turn, reduces their generosity. Analyzing results of a unique nationally representative survey that included a real-stakes giving opportunity (n = 1,498), we found that in the most unequal US states, higher-income respondents were less generous than lower-income respondents. In the least unequal states, however, higher-income individuals were more generous. To better establish causality, we next conducted an experiment (n = 704) in which apparent levels of economic inequality in participants' home states were portrayed as either relatively high or low. Participants were then presented with a giving opportunity. Higher-income participants were less generous than lower-income participants when inequality was portrayed as relatively high, but there was no association between income and generosity when inequality was portrayed as relatively low. This research finds that the tendency for higher-income individuals to be less generous pertains only when inequality is high, challenging the view that higher-income individuals are necessarily more selfish, and suggesting a previously undocumented way in which inequitable resource distributions undermine collective welfare.

Does Income Inequality Harm Health? New Cross-National Evidence

ERIC Educational Resources Information Center

Beckfield, Jason

2004-01-01

The provocative hypothesis that income inequality harms population health has sparked a large body of research, some of which has reported strong associations between income inequality and population health. Cross-national evidence is frequently cited in support of this important hypothesis, but the hypothesis remains controversial, and the…

The role of city income inequality, sex ratio and youth mortality rates in the effect of violent victimization on health-risk behaviors in Brazilian adolescents.

PubMed

Ramos, Dandara de Oliveira; Daly, Martin; Seidl-de-Moura, Maria Lucia; Nadanovsky, Paulo

2017-05-01

This study integrates insights from evolutionary psychology and social epidemiology to present a novel approach to contextual effects on health-risk behaviors (unprotected sex, drunkenness episodes, drugs and tobacco experimentation) among adolescents. Using data from the 2012 Brazilian National Survey of Adolescent Health (PeNSE), we first analyzed the effects of self-reported violent victimization on health-risk behaviors of 47,371 adolescents aged 10-19 nested in the 26 Brazilian state capitals and the Federal District. We then explored whether the magnitude of these associations was correlated with cues of environmental harshness and unpredictability (youth external mortality and income inequality) and mating competition (sex ratio) from the city level. Results indicated that self-reported violent victimization is associated with an increased chance of engagement in health-risk behaviors in all Brazilian state capitals, for both males and females, but the magnitude of these associations varies in relation to broader environmental factors, such as the cities' age-specific mortality rates, and specifically for females, income inequality and sex ratio. In addition to introducing a novel theoretical and empirical approach to contextual effects on adolescent health-risk behaviors, our findings reinforce the need to consider synergies between people's life experiences and the conditions where they live, when studying health-risk behaviors in adolescence. Copyright © 2017 Elsevier Ltd. All rights reserved.

Income inequality and fear of crime across the European region

PubMed Central

Vauclair, Christin-Melanie; Bratanova, Boyka

2016-01-01

This paper aims to take a holistic approach to studying fear of crime by testing predictors at multiple levels of analyses. Data from the European Social Survey (N = 56,752 from 29 countries) were used to test and extend the Income Inequality and Sense of Vulnerability Hypotheses. The findings confirm that (1) individuals in societies with greater income inequalities are more fearful of crime, and (2) older or disabled people as well as women report greater fear of crime. Contrary to the hypotheses, ethnic majority and not ethnic minority members report greater fear of crime, if they reside in high income inequality countries. It is further demonstrated that fear of crime explains the inverse association between income inequality and subjective well-being in this particular subsample. PMID:28579924

Global effects of income and income inequality on adult height and sexual dimorphism in height.

PubMed

Bogin, Barry; Scheffler, Christiane; Hermanussen, Michael

2017-03-01

Average adult height of a population is considered a biomarker of the quality of the health environment and economic conditions. The causal relationships between height and income inequality are not well understood. We analyze data from 169 countries for national average heights of men and women and national-level economic factors to test two hypotheses: (1) income inequality has a greater association with average adult height than does absolute income; and (2) neither income nor income inequality has an effect on sexual dimorphism in height. Average height data come from the NCD-RisC health risk factor collaboration. Economic indicators are derived from the World Bank data archive and include gross domestic product (GDP), Gross National Income per capita adjusted for personal purchasing power (GNI_PPP), and income equality assessed by the Gini coefficient calculated by the Wagstaff method. Hypothesis 1 is supported. Greater income equality is most predictive of average height for both sexes. GNI_PPP explains a significant, but smaller, amount of the variation. National GDP has no association with height. Hypothesis 2 is rejected. With greater average adult height there is greater sexual dimorphism. Findings support a growing literature on the pernicious effects of inequality on growth in height and, by extension, on health. Gradients in height reflect gradients in social disadvantage. Inequality should be considered a pollutant that disempowers people from the resources needed for their own healthy growth and development and for the health and good growth of their children. © 2017 Wiley Periodicals, Inc.

Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries.

PubMed

Devaux, Marion

2015-01-01

A key policy objective in OECD countries is to achieve adequate access to health care for all people on the basis of need. Previous studies have shown that there are inequities in health care services utilisation (HCSU) in the OECD area. In recent years, measures have been taken to enhance health care access. This paper re-examines income-related inequities in doctor visits among 18 selected OECD countries, updating previous results for 12 countries with 2006-2009 data, and including six new countries. Inequalities in preventive care services are also considered for the first time. The indirect standardisation procedure is used to estimate the need-adjusted HCSU and concentration indexes are derived to gauge inequalities and inequities. Overall, inequities in HCSU remain present in OECD countries. In most countries, for the same health care needs, people with higher incomes are more likely to consult a doctor than those with lower incomes. Pro-rich inequalities in dental visits and cancer screening uptake are also found in nearly all countries, although the magnitude of these varies among countries. These findings suggest that further monitoring of inequalities is essential in order to assess whether country policy objectives are achieved on a regular basis.

Population health in an era of rising income inequality: USA, 1980-2015.

PubMed

Bor, Jacob; Cohen, Gregory H; Galea, Sandro

2017-04-08

Income inequality in the USA has increased over the past four decades. Socioeconomic gaps in survival have also increased. Life expectancy has risen among middle-income and high-income Americans whereas it has stagnated among poor Americans and even declined in some demographic groups. Although the increase in income inequality since 1980 has been driven largely by soaring top incomes, the widening of survival inequalities has occurred lower in the distribution-ie, between the poor and upper-middle class. Growing survival gaps across income percentiles since 2001 reflect falling real incomes among poor Americans as well as an increasingly strong association between low income and poor health. Changes in individual risk factors such as smoking, obesity, and substance abuse play a part but do not fully explain the steeper gradient. Distal factors correlated with rising inequality including unequal access to technological innovations, increased geographical segregation by income, reduced economic mobility, mass incarceration, and increased exposure to the costs of medical care might have reduced access to salutary determinants of health among low-income Americans. Having missed out on decades of income growth and longevity gains, low-income Americans are increasingly left behind. Without interventions to decouple income and health, or to reduce inequalities in income, we might see the emergence of a 21st century health-poverty trap and the further widening and hardening of socioeconomic inequalities in health. Copyright © 2017 Elsevier Ltd. All rights reserved.

Impact of national income and inequality on sugar and caries relationship.

PubMed

Masood, M; Masood, Y; Newton, T

2012-01-01

The aim of this study was to examine the impact that national income and income inequality in high and low income countries have on the relationship between dental caries and sugar consumption. An ecological study design was used in this study of 73 countries. The mean decayed, missing, or filled permanent teeth (DMFT) for 12-year-old children were obtained from the WHO Oral Health Country/Area Profile Programme. United Nations Food and Agricultural Organization data were used for per capita sugar consumption. Gross national incomes per capita based on purchasing power parity and the Gini coefficient were obtained from World Bank data. Bivariate and multivariate linear regression analysis was performed to estimate the associations between mean DMFT and per capita sugar consumption in different income and income inequality countries. Bivariate and multivariate regression analysis showed that countries with a high national income and low income inequality have a strong negative association between sugar consumption and caries (B = -2.80, R2 = 0.17), whereas countries with a low income and high income inequality have a strong positive relationship between DMFT and per capita sugar consumption (B = -0.89, R2 = 0.20). The relationship between per capita consumption of sugar and dental caries is modified by the absolute level of income of the country, but not by the level of income inequality within a country. Copyright © 2012 S. Karger AG, Basel.

The Inequality Footprints of Nations: A Novel Approach to Quantitative Accounting of Income Inequality

PubMed Central

Alsamawi, Ali; Murray, Joy; Lenzen, Manfred; Moran, Daniel; Kanemoto, Keiichiro

2014-01-01

In this study we use economic input-output analysis to calculate the inequality footprint of nations. An inequality footprint shows the link that each country's domestic economic activity has to income distribution elsewhere in the world. To this end we use employment and household income accounts for 187 countries and an historical time series dating back to 1990. Our results show that in 2010, most developed countries had an inequality footprint that was higher than their within-country inequality, meaning that in order to support domestic lifestyles, these countries source imports from more unequal economies. Amongst exceptions are the United States and United Kingdom, which placed them on a par with many developing countries. Russia has a high within-country inequality nevertheless it has the lowest inequality footprint in the world, which is because of its trade connections with the Commonwealth of Independent States and Europe. Our findings show that the commodities that are inequality-intensive, such as electronic components, chemicals, fertilizers, minerals, and agricultural products often originate in developing countries characterized by high levels of inequality. Consumption of these commodities may implicate within-country inequality in both developing and developed countries. PMID:25353333

The inequality footprints of nations: a novel approach to quantitative accounting of income inequality.

PubMed

Alsamawi, Ali; Murray, Joy; Lenzen, Manfred; Moran, Daniel; Kanemoto, Keiichiro

2014-01-01

In this study we use economic input-output analysis to calculate the inequality footprint of nations. An inequality footprint shows the link that each country's domestic economic activity has to income distribution elsewhere in the world. To this end we use employment and household income accounts for 187 countries and an historical time series dating back to 1990. Our results show that in 2010, most developed countries had an inequality footprint that was higher than their within-country inequality, meaning that in order to support domestic lifestyles, these countries source imports from more unequal economies. Amongst exceptions are the United States and United Kingdom, which placed them on a par with many developing countries. Russia has a high within-country inequality nevertheless it has the lowest inequality footprint in the world, which is because of its trade connections with the Commonwealth of Independent States and Europe. Our findings show that the commodities that are inequality-intensive, such as electronic components, chemicals, fertilizers, minerals, and agricultural products often originate in developing countries characterized by high levels of inequality. Consumption of these commodities may implicate within-country inequality in both developing and developed countries.

Trends and socioeconomic inequalities in amenable mortality in Switzerland with international comparisons.

PubMed

Feller, Anita; Schmidlin, Kurt; Clough-Gorr, Kerri M

2017-08-14

Amenable mortality is a composite measure of deaths from conditions that might be avoided by timely and effective healthcare. It was developed as an indicator to study health care quality. We calculated mortality rates for the population aged 0-74 years for the time-period 1996-2010 and the following groups of causes of death: amenable conditions, ischaemic heart diseases (IHD, defined as partly amenable) and remaining conditions. We compared the Swiss results with those published for 16 other high-income countries. To examine the association between amenable mortality and socioeconomic position, we calculated hazard ratios (HRs) by using Cox regression. Amenable mortality fell from 49.5 (95% confidence interval [CI] 48.2-51.0) to 35.7 (34.6-36.9) in males and from 55.0 (53.6-56.4) to 43.4 (42.2-44.6) per 100 000 person-years in females, when 1996-1998 was compared with 2008-2010. IHD mortality declined from 64.7 (95% CI 63.1-66.3) to 33.8 (32.8-34.8) in males and from 18.0 (17.2-18.7) to 8.5 (8.0-9.0) in females. However, between 1996-1998 and 2008-2010 the proportion of all-cause mortality attributed to amenable causes remained stable in both sexes (around 12% in males and 26% in females). Compared with 16 other high-income countries, Switzerland had the lowest rates of amenable mortality and ranked among the top five with the lowest ischaemic heart disease mortality. HRs of amenable causes in the lowest socioeconomic position quintile were 1.77 (95% CI 1.66-1.90) for males and 1.78 (1.47-2.16) for females compared with 1.62 (1.58-1.66) and 1.38 (1.33-1.43) for unamenable mortality. For ischaemic heart disease, HRs in the lowest socioeconomic position quintile were 1.76 (95% CI 1.66-1.87) for males and 2.33 (2.07-2.62) for females. Amenable mortality declined substantially in Switzerland with comparably low death rates for amenable causes. Similar to previous international studies, these Swiss results showed substantial socioeconomic inequalities in amenable

Area-level income inequality and oral health among Australian adults—A population-based multilevel study

PubMed Central

2018-01-01

Background A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth) and poor self-rated oral health) among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. Methods For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. Results LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Conclusion Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse

Area-level income inequality and oral health among Australian adults-A population-based multilevel study.

PubMed

Singh, Ankur; Harford, Jane; Antunes, José Leopoldo Ferreira; Peres, Marco A

2018-01-01

A lack of evidence exists on the association between area-level income inequality and oral health within Australia. This study examined associations between area-level income inequality and oral health outcomes (inadequate dentition (<21 teeth) and poor self-rated oral health) among Australian adults. Variations in the association between area-level income inequality and oral health outcomes according to area-level mean income were also assessed. Finally, household-income gradients in oral health outcomes according to area-level income inequality were compared. For the analyses, data on Australian dentate adults (n = 5,165 nested in 435 Local Government Areas (LGAs)) was obtained from the National Dental Telephone Interview Survey-2013. Multilevel multivariable logistic regression models with random intercept and fixed slopes were fitted to test associations between area-level income inequality and oral health outcomes, examine variations in associations according to area-level mean income, and examine variations in household-income gradients in outcomes according to area-level income inequality. Covariates included age, sex, LGA-level mean weekly household income, geographic remoteness and household income. LGA-level income inequality was not associated with poor self-rated oral health and inversely associated with inadequate dentition (OR: 0.64; 95% CI: 0.48, 0.87) after adjusting for covariates. Inverse association between income inequality and inadequate dentition at the individual level was limited to LGAs within the highest tertile of mean weekly household income. Household income gradients in both outcomes showed poorer oral health at lower levels of household income. The household income gradients for inadequate dentition varied according to the LGA-level income inequality. Findings suggest that income inequality at the LGA-level in Australia is not positively associated with poorer oral health outcomes. Inverse association between income inequality and

The role of neighborhood income inequality in adolescent aggression and violence.

PubMed

Pabayo, Roman; Molnar, Beth E; Kawachi, Ichiro

2014-10-01

Being a perpetrator or victim of assaults can have detrimental effects on the development and health of adolescents. Area-level income inequality has been suggested to be associated with crime and aggressive behavior. However, most prior research on this association has been ecological. Therefore, the purpose of this investigation was to describe the association between neighborhood-level income inequality and aggression and violence outcomes. Data were collected from a sample of 1,878 adolescents living in 38 neighborhoods participating in the 2008 Boston Youth Survey. We used multilevel logistic regression models to estimate the association between neighborhood income inequality and attacking someone with a weapon, being attacked by someone with a weapon, being physically assaulted, being shown a gun by someone in the neighborhood, shot at by someone in the neighborhood, witnessing someone getting murdered in the past year, and having a close family member or friend murdered. Race and income inequality cross-level interactions were tested. Analyses were stratified by sex. Among nonblack boys, after adjusting for nativity, age, neighborhood-level income, crime, disorder, and proportion of the neighborhood that is black, income inequality was associated with an increased risk for committing acts of aggression and being a victim of violence. Among nonblack girls, those living in neighborhoods with high-income inequality were more likely to witness someone die a violent death in the previous year, in comparison to those in more equal neighborhoods. Income inequality appears to be related to aggression and victimization outcomes among nonblack adolescents living in Boston. Copyright © 2014 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

Not just smoking and high-tech medicine: socioeconomic inequities in US mortality rates, overall and by race/ethnicity, 1960–2006

PubMed Central

Krieger, Nancy; Chen, Jarvis T.; Kosheleva, Anna; Waterman, Pamela D.

2011-01-01

Recent research on the post-1980 widening of US socioeconomic mortality inequalities has emphasized the contribution of smoking and high-tech medicine, with some studies treating the growing inequalities as effectively inevitable. No studies, however, have analyzed long-term trends in US mortality rates and inequities unrelated to smoking or due to lack of basic medical care, even as a handful have shown that US socioeconomic inequalities in overall mortality shrank between the mid-1960s and 1980. We accordingly analyzed US mortality data for 1960–2006, stratified by county income quintile and race/ethnicity, for mortality unrelated to smoking and preventable by 1960s standards of medical care. Key findings were that relative and absolute socioeconomic inequalities in US mortality unrelated to smoking and preventable by 1960s medical care standards shrank between the 1960s and 1980 and then increased and stagnated, with absolute rates on par with several leading causes of death, and with the burden worst for US populations of color. None of these findings can be attributed to trends in smoking-related deaths and access to high-tech medicine, and they also demonstrate that socioeconomic inequities in mortality can shrink and need not inevitably rise. PMID:22611656

Income Inequality and US Children's Secondhand Smoke Exposure: Distinct Associations by Race-Ethnicity.

PubMed

Shenassa, Edmond D; Rossen, Lauren M; Cohen, Jonathan; Morello-Frosch, Rachel; Payne-Sturges, Devon C

2017-11-01

Prior studies have found considerable racial and ethnic disparities in secondhand smoke (SHS) exposure. Although a number of individual-level determinants of this disparity have been identified, contextual determinants of racial and ethnic disparities in SHS exposure remain unexamined. The objective of this study was to examine disparities in serum cotinine in relation to area-level income inequality among 14 649 children from the National Health and Nutrition Examination Survey. We fit log-normal regression models to examine disparities in serum cotinine in relation to Metropolitan Statistical Areas level income inequality among 14 649 nonsmoking children aged 3-15 from the National Health and Nutrition Examination Survey (1999-2012). Non-Hispanic black children had significantly lower serum cotinine than non-Hispanic white children (-0.26; 95% CI: -0.38, -0.15) in low income inequality areas, but this difference was attenuated in areas with high income inequality (0.01; 95% CI: -0.16, 0.18). Serum cotinine declined for non-Hispanic white and Mexican American children with increasing income inequality. Serum cotinine did not change as a function of the level of income inequality among non-Hispanic black children. We have found evidence of differential associations between SHS exposure and income inequality by race and ethnicity. Further examination of environments which engender SHS exposure among children across various racial/ethnic subgroups can foster a better understanding of how area-level income inequality relates to health outcomes such as levels of SHS exposure and how those associations differ by race/ethnicity. In the United States, the association between children's risk of SHS exposure and income inequality is modified by race/ethnicity in a manner that is inconsistent with theories of income inequality. In overall analysis this association appears to be as predicted by theory. However, race-specific analyses reveal that higher levels of income

Inequalities in oral health: Understanding the contributions of education and income.

PubMed

Farmer, Julie; Phillips, Rebecca C; Singhal, Sonica; Quiñonez, Carlos

2017-09-14

To quantify the extent to which income and education explain gradients in oral health outcomes. Using data from the Canadian Community Health Survey (CCHS 2003), binary logistic regression models were constructed to examine the relationship between income and education on self-reported oral health (SROH) and chewing difficulties (CD) while controlling for age, sex, ethnicity, employment status and dental insurance coverage. The relative index of inequality (RII) was utilized to quantify the extent to which income and education explain gradients in poor SROH and CD. Income and education gradients were present for SROH and CD. From fully adjusted models, income inequalities were greater for CD (RIIinc = 2.85) than for SROH (RIIinc = 2.75), with no substantial difference in education inequalities between the two. Income explained 37.4% and 42.4% of the education gradient in SROH and CD respectively, whereas education explained 45.2% and 6.1% of income gradients in SROH and CD respectively. Education appears to play a larger role than income when explaining inequalities in SROH; however, it is the opposite for CD. In this sample of the Canadian adult population, income explained over one third of the education gradient in SROH and CDs, whereas the contribution of education to income gradients varied by choice of self-reported outcome. Results call for stakeholders to improve affordability of dental care in order to reduce inequalities in the Canadian population.

Income inequality and depressive symptoms in South Africa: A longitudinal analysis of the National Income Dynamics Study.

PubMed

Adjaye-Gbewonyo, Kafui; Avendano, Mauricio; Subramanian, S V; Kawachi, Ichiro

2016-11-01

Research suggests that income inequality may detrimentally affect mental health. We examined the relationship between district-level income inequality and depressive symptoms among individuals in South Africa-one of the most unequal countries in the world-using longitudinal data from Wave 1 (2008) and Wave 3 (2012) of the National Income Dynamics Study. Depressive symptoms were measured using the Center for Epidemiological Studies of Depression Short Form while district Gini coefficients were estimated from census and survey sources. Age, African population group, being single, being female, and having lower household income were independently associated with higher depressive symptoms. However, in longitudinal, fixed-effects regression models controlling for several factors, district-level Gini coefficients were not significantly associated with depressive symptoms scores. Our results do not support the hypothesis of a causal link between income inequality and depressive symptoms in the short-run. Possible explanations include the high underlying levels of inequality in all districts, or potential lags in the effect of inequality on depression. Copyright © 2016 Elsevier Ltd. All rights reserved.

Income inequality and homicide rates in Rio de Janeiro, Brazil.

PubMed Central

Szwarcwald, C L; Bastos, F I; Viacava, F; de Andrade, C L

1999-01-01

OBJECTIVES: This study determined the effect of income inequality on homicide rates in the state of Rio de Janeiro, Brazil. METHODS: We conducted an ecological study at 2 geographical levels, municipalities in the state of Rio de Janeiro and administrative regions in the municipality of Rio de Janeiro. The association between homicide and income inequality was tested by multiple regression procedures, with adjustment for other socioeconomic indicators. RESULTS: For the municipalities of Rio de Janeiro State, no association between homicide and income concentration was found an outcome that can be explained by the municipalities' different degrees of urbanization. However, for the administrative regions in the city of Rio de Janeiro, the 2 income inequality indicators were strongly correlated with the outcome variable (P < .01). Higher homicide rates were found precisely in the sector of the city that has the greatest concentration of slum residents and the highest degree of income inequality. CONCLUSIONS: The findings suggest that social policies specifically aimed at low-income urban youth, particularly programs to reduce the harmful effects of relative deprivation, may have an important impact on the homicide rate. PMID:10358673

Associations of gender inequality with child malnutrition and mortality across 96 countries.

PubMed

Marphatia, A A; Cole, T J; Grijalva-Eternod, C; Wells, J C K

2016-01-01

National efforts to reduce low birth weight (LBW) and child malnutrition and mortality prioritise economic growth. However, this may be ineffective, while rising gross domestic product (GDP) also imposes health costs, such as obesity and non-communicable disease. There is a need to identify other potential routes for improving child health. We investigated associations of the Gender Inequality Index (GII), a national marker of women's disadvantages in reproductive health, empowerment and labour market participation, with the prevalence of LBW, child malnutrition (stunting and wasting) and mortality under 5 years in 96 countries, adjusting for national GDP. The GII displaced GDP as a predictor of LBW, explaining 36% of the variance. Independent of GDP, the GII explained 10% of the variance in wasting and stunting and 41% of the variance in child mortality. Simulations indicated that reducing GII could lead to major reductions in LBW, child malnutrition and mortality in low- and middle-income countries. Independent of national wealth, reducing women's disempowerment relative to men may reduce LBW and promote child nutritional status and survival. Longitudinal studies are now needed to evaluate the impact of efforts to reduce societal gender inequality.

Income-related inequality and inequity in the use of dental services in Finland after a major subsidization reform.

PubMed

Raittio, Eero; Kiiskinen, Urpo; Helminen, Sari; Aromaa, Arpo; Suominen, Anna Liisa

2015-06-01

In Finland, a major oral healthcare reform (OHCR), implemented during 2001-2002, opened the public dental services (PDS) and extended subsidies for private dental services to entire adult population. Before the reform, adults born earlier than 1956 were not entitled to use PDS nor did they receive any reimbursements for their private dental costs. We aimed to examine changes in the income-related inequality and inequity in the use of dental services among the adult Finns after the reform. Representative data from Finnish adults born in 1970 or earlier were gathered from three identical postal surveys concerning the use of dental services and subjective perceptions of oral health. Those surveys were conducted before the OHCR in 2001 (n = 1907) and after the OHCR in 2004 (n = 1629) and 2007 (n = 1509). We used concentration index and its decomposition to analyse income-related inequality and inequity in the use of dental services and factors associated with them. Results showed that pro-rich inequality and inequity in the overall use of dental services narrowed from 2001 to 2004. However, between 2004 and 2007, pro-rich inequality and inequity widened, so it returned to a rather similar level in 2007 as it had been in 2001. Most of the pro-rich inequality and inequity were related to regular dental visiting habit and income level. While there was pro-poor inequality and inequity in the use of PDS, there was pro-rich inequality and inequity in the use of private dental services throughout the study years. It seems that income-related inequality and inequity in the use of dental services narrowed only temporarily after the reform. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Trends in educational inequalities in cause specific mortality in Norway from 1960 to 2010: a turning point for educational inequalities in cause specific mortality of Norwegian men after the millennium?

PubMed

Strand, Bjørn Heine; Steingrímsdóttir, Ólöf Anna; Grøholt, Else-Karin; Ariansen, Inger; Graff-Iversen, Sidsel; Næss, Øyvind

2014-11-24

Educational inequalities in total mortality in Norway have widened during 1960-2000. We wanted to investigate if inequalities have continued to increase in the post millennium decade, and which causes of deaths were the main drivers. All deaths (total and cause specific) in the adult Norwegian population aged 45-74 years over five decades, until 2010 were included; in all 708,449 deaths and over 62 million person years. Two indices of inequalities were used to measure inequality and changes in inequalities over time, on the relative scale (Relative Index of Inequality, RII) and on the absolute scale (Slope Index of Inequality, SII). Relative inequalities in total mortality increased over the five decades in both genders. Among men absolute inequalities stabilized during 2000-2010, after steady, significant increases each decade back to the 1960s, while in women, absolute inequalities continued to increase significantly during the last decade. The stabilization in absolute inequalities among men in the last decade was mostly due to a fall in inequalities in cardiovascular disease (CVD) mortality and lung cancer and respiratory disease mortality. Still, in this last decade, the absolute inequalities in cause-specific mortality among men were mostly due to cardiovascular diseases (CVD) (34% of total mortality inequality), lung cancer and respiratory diseases (21%). Among women the absolute inequalities in mortality were mostly due to lung cancer and chronic lower respiratory tract diseases (30%) and CVD (27%). In men, absolute inequalities in mortality have stopped increasing, seemingly due to reduction in inequalities in CVD mortality. Absolute inequality in mortality continues to widen among women, mostly due to death from lung cancer and chronic lung disease. Relative educational inequalities in mortality are still on the rise for Norwegian men and women.

Income-related inequalities in diseases and health conditions over the business cycle.

PubMed

Ásgeirsdóttir, Tinna Laufey; Jóhannsdóttir, Hildur Margrét

2017-12-01

How business cycles affect income-related distribution of diseases and health disorders is largely unknown. We examine how the prevalence of thirty diseases and health conditions is distributed across the income spectrum using survey data collected in Iceland in 2007, 2009 and 2012. Thus, we are able to take advantage of the unusually sharp changes in economic conditions in Iceland during the Great Recession initiated in 2008 and the partial recovery that had already taken place by 2012 to analyze how income-related health inequality changed across time periods that can be described as a boom, crisis and recovery. The concentration curve and the concentration index are calculated for each disease, both overall and by gender. In all cases, we find a considerable income-related health inequality favoring higher income individuals, with a slight increase over the study period. Between 2007 and 2009, our results indicate increased inequality for women but decreased inequality for men. Between 2009 and 2012 on the contrary, men's inequality increases but women's decreases. The overarching result is thus that the economic hardship of the crisis temporarily increased female income-related health inequality, but decreased that of men.

Income inequality among American states and the incidence of major depression.

PubMed

Pabayo, Roman; Kawachi, Ichiro; Gilman, Stephen E

2014-02-01

Although cross-sectional and ecological studies have shown that higher area-level income inequality is related to increased risk for depression, few longitudinal studies have been conducted. This investigation examines the relationship between state-level income inequality and major depression among adults participating in a population-based, representative longitudinal study. We used data from the National Epidemiologic Survey on Alcohol and Related Conditions (n=34 653). Respondents completed structured diagnostic interviews at baseline (2001-2002) and follow-up (2004-2005). Weighted multilevel modelling was used to determine if U.S. state-level income inequality (measured by the Gini coefficient) was a significant predictor of depression at baseline and at follow-up, while controlling for individual-level and state-level covariates. We also repeated the longitudinal analyses, excluding those who had a history of depression or at baseline, in order to test whether income inequality was related to incident depression. State-level inequality was associated with increased incidence of depression among women but not men. In comparison to women residing in states belonging to the lowest quintile of income inequality, women were at increased risk for depression in the second (OR=1.18, 95% CI 0.86 to 1.62), third (OR=1.22, 95% CI 0.91 to 1.62), fourth (OR=1.37, 95% CI 1.03 to 1.82) and fifth (OR=1.50, 95% CI 1.14 to 1.96) quintiles at follow-up (p<0.05 for the linear trend). Living in a state with higher income inequality increases the risk for the development of depression among women.

Is wealthier always healthier in poor countries? The health implications of income, inequality, poverty, and literacy in India.

PubMed

Rajan, Keertichandra; Kennedy, Jonathan; King, Lawrence

2013-07-01

Standard policy prescriptions for improving public health in less developed countries (LDCs) prioritise raising average income levels over redistributive policies since it is widely accepted that 'wealthier is healthier'. It is argued that income inequality becomes a significant predictor of public health only after the 'epidemiological transition'. This paper tests this theory in India, where rising income levels have not been matched by improvements in public health. We use state-, district-, and individual-level data to investigate the relationship between infant and under-five mortality, and average income, poverty, income inequality, and literacy. Our analysis shows that at both state- and district-level public health is negatively associated with average income and positively associated with poverty. But, at both levels, controlling for poverty and literacy renders average income statistically insignificant. At state-level, only literacy remains a significant and negative predictor. At the less aggregated district-level, both poverty and literacy predict public health but literacy has a stronger effect than poverty. Inequality does not predict public health at state- or district-levels. At the individual-level, however, it is a strong predictor of self-reported ailment, even after we control for district average income, individual income, and individual education. Our analysis suggests that wealthier is indeed healthier in India - but only to the extent that high average incomes reflect low poverty and high literacy. Furthermore, inequality has a strong effect on self-reported health. Standard policy prescriptions, then, need revision: first, alleviating poverty may be more effective than raising average income levels; second, non-income goods like literacy may make an important contribution to public health; and third, policy should be based on a broader understanding of societal well-being and the factors that promote it. Copyright © 2013 Elsevier Ltd. All

The stability of income inequality in Brazil, 2006-2012: an estimate using income tax data and household surveys.

PubMed

Medeiros, Marcelo; de Souza, Pedro Herculano Guimarães Ferreira; de Castro, Fábio Ávila

2015-04-01

the level and evolution of income inequality among adults in Brazil between 2006 and 2012. to calculate the level of inequality, its trend over the years and the share of income growth appropriated by different social groups. We combined tax data from the Annual Personal Income Tax Returns (Declaração Anual de Ajuste do Imposto de Renda da Pessoa Física - DIRPF) and the Brazilian National Household Survey (Pesquisa Nacional por Amostra de Domicílios - PNAD) to construct a complete distribution of total income among adults in Brazil. We applied Pareto interpolations to income tax tabulations to arrive at the distribution within income groups. We tested the results, comparing the PNAD to the Brazilian Consumption and Expenditure Survey (Pesquisa de Orçamentos Familiares - POF) and to data from the Census Subsample Survey (Census. We found evidence that income inequality in Brazil is higher than previously thought and that it remained stable between 2006 and 2012; in making these findings, we thus diverged from most studies on the dynamics of inequality in Brazil.. There was income growth, but the top incomes have appropriated most of this growth.

Are health inequalities rooted in the past? Income inequalities in metabolic syndrome decomposed by childhood conditions

PubMed Central

San Sebastian, Miguel; Ivarsson, Anneli; Weinehall, Lars; Gustafsson, Per E.

2017-01-01

Abstract Background: Early life is thought of as a foundation for health inequalities in adulthood. However, research directly examining the contribution of childhood circumstances to the integrated phenomenon of adult social inequalities in health is absent. The present study aimed to examine whether, and to what degree, social conditions during childhood explain income inequalities in metabolic syndrome in mid-adulthood. Methods: The sample (N = 12 481) comprised all 40- and 50-year-old participants in the Västerbotten Intervention Program in Northern Sweden 2008, 2009 and 2010. Measures from health examinations were used to operationalize metabolic syndrome, which was linked to register data including socioeconomic conditions at age 40–50 years, as well as childhood conditions at participant age 10–12 years. Income inequality in metabolic syndrome in middle age was estimated by the concentration index and decomposed by childhood and current socioeconomic conditions using decomposition analysis. Results: Childhood conditions jointed explained 7% (men) to 10% (women) of health inequalities in middle age. Adding mid-adulthood sociodemographic factors showed a dominant contribution of chiefly current income and educational level in both gender. In women, the addition of current factors slightly attenuated the contribution of childhood conditions, but with paternal income and education still contributing. In contrast, the corresponding addition in men removed all explanation attributable to childhood conditions. Conclusions: Despite that the influence of early life conditions to adult health inequalities was considerably smaller than that of concurrent conditions, the study suggests that early interventions against social inequalities potentially could reduce health inequalities in the adult population for decades to come. PMID:27744345

Does government provision of healthcare explain the relationship between income inequality and low birthweight?

PubMed

Lhila, Aparna

2009-10-01

This paper estimates the relationship between state and county income inequality and low birthweight (LBW) in the U.S. It examines whether more unequal societies are also less healthy because such societies have lower investment in population health. The model includes an extensive list of community and individual controls and community fixed-effects. Results show that unequal states in fact have greater social investments, and absent these investments children born in such states would be more likely to be LBW. Using alternate measures of inequality reveals that income inequality in the upper tail of the income distribution is not related to LBW; but inequality in the lower tail of the income distribution is associated with increased LBW where the supply of healthcare mitigates the effect of income inequality. Consistent with prior findings, county income inequality is not significantly related to LBW.

Income-related inequalities in inadequate dentition over time in Australia, Brazil and USA adults.

PubMed

Peres, Marco A; Luzzi, Liana; Peres, Karen G; Sabbah, Wael; Antunes, Jose L; Do, Loc G

2015-06-01

To assess changes over time of the absolute and relative household income-related inequalities in inadequate dentition (ID) among Australians, Brazilians and USA adults. This study used nationwide oral health survey data from Australia (n = 1200 in 1999; n = 2729 in 2005), Brazil (n = 13 431 in 2003; n = 9779 in 2010) and USA (n = 2542 in 1999; n = 1596 in 2005). Absolute income inequalities were calculated using Absolute Concentration Index (ACI) and Slope Index of Inequality (SII), while relative inequalities were calculated using Relative Concentration Index (RCI) and Relative Index of Inequality (RII). Prevalence of ID in the studied period dropped from 8.7% to 3.1% in Australia; from 42.1% to 22.4% in Brazil; and remained stable in USA, nearly 8.0%. Absolute income inequalities were highest in Brazil, followed by the USA and Australia; relative inequalities were lower in Brazil than in Australia and the USA. ID was higher among Brazilian females (2010) and for the poorest group in all countries and periods. A remarkable reduction in absolute inequalities were found in Australia [Slope Index of Inequality (SII) and AIC 60%] and in Brazil (SII 25%; ACI 33%) while relative inequalities increased both in Australia (RCI and RII 40%) and in Brazil (RCI 24%; RII 38%). No changes in absolute and relative income inequalities were found in the USA. There were still persistent absolute and relative income inequalities in ID in all examined countries. There has been a reduction in absolute income inequalities in ID but an increase in relative income inequalities. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

An exploratory multilevel analysis of income, income inequality and self-rated health of the elderly in China.

PubMed

Feng, Zhixin; Wang, Wenfei Winnie; Jones, Kelvyn; Li, Yaqing

2012-12-01

In the last three decades, China has experienced rapid economic development and growing economic inequality, such that economic disparities between rural and urban areas, as well as coastal and interior areas have deepened. Since the late 1990s China has also experienced an ageing population which has attracted attention to the wellbeing of the rapidly growing number of elderly. This research aims to characterise province differences in health and to explore the effects of individual income and economic disparity in the form of income inequality on health outcomes of the elderly. The study is based on the Chinese Longitudinal Healthy Longevity Survey data collected in 2008 for 23 provinces. Multilevel logistic models are employed to investigate the relationship between income, income inequality and self-rated health for the elderly using both individual and province-level variables. Results are presented as relative odds ratios, and for province differentials as Median Odds Ratios. The analysis is deliberately exploratory so as to find evidence of income effects if they exist and particular attention is placed on how province-level inequality (contemporaneous and lagged) may moderate individual relationships. The results show that the health of the elderly is not only affected by individual income (the odds of poor health are 3 times greater for the elderly with the lowest income compared to those at the upper quartile) but also by a small main effect for province-level income inequality (odds ratio of 1.019). There are significant cross-level interactions such that where inequality is high there are greater differences between those with and without formal education, and between men and women with the latter experiencing poorer health. Crown Copyright © 2012. Published by Elsevier Ltd. All rights reserved.

Retirement Patterns and Income Inequality

ERIC Educational Resources Information Center

Fasang, Anette Eva

2012-01-01

How do social policies shape life courses, and which consequences do different life course patterns hold for individuals? This article engages the example of retirement in Germany and Britain to analyze life course patterns and their consequences for income inequality. Sequence analysis is used to measure retirement trajectories. The liberal…

Provincial income inequality and self‐reported health status in China during 1991–7

PubMed Central

Pei, X; Rodriguez, E

2006-01-01

Background The relationship between income inequality and health has been widely explored. Today there is some evidence suggesting that good health is inversely related to income inequality. After the economic reforms initiated in the early 1980s, China experienced one of the fastest‐growing income inequalities in the world. The state of China in the 1990s is focussed on and possible effects of provincial income inequality on individual health status are explored. Methods A multilevel regression model is used to analyse the data collected in 1991, 1993 and 1997 from nine provinces included in the China Health and Nutrition Survey. The effects of provincial Gini coefficients on self‐rated health in each year are evaluated by two logistic regressions estimating the odds ratios of reporting poor or fair health. The patterns of this effect are compared among the survey years and also among different demographic groups. Results The analyses show an independent effect of income inequality on self‐reported health after adjusting for individual and household variables. Furthermore, the effect of income distribution is not attenuated when household income and provincial gross domestic product per capita are included in the model. The results show that there is an increased risk of about 10–15% on average for fair or poor health for people living in provinces with greater income inequalities compared with provinces with modest income inequalities. Conclusions In China, societal income inequality appears to be an important determinant of population health during 1991–7. PMID:17108303

The effect of poverty, social inequity, and maternal education on infant mortality in Nicaragua, 1988-1993.

PubMed Central

Peña, R; Wall, S; Persson, L A

2000-01-01

OBJECTIVES: This study assessed the effect of poverty and social inequity on infant mortality risks in Nicaragua from 1988 to 1993 and the preventive role of maternal education. METHODS: A cohort analysis of infant survival, based on reproductive histories of a representative sample of 10,867 women aged 15 to 49 years in León, Nicaragua, was conducted. A total of 7073 infants were studied; 342 deaths occurred during 6394 infant-years of follow-up. Outcome measures were infant mortality rate (IMR) and relative mortality risks for different groups. RESULTS: IMR was 50 per 1000 live births. Poverty, expressed as unsatisfied basic needs (UBN) of the household, increased the risk of infant death (adjusted relative risk [RR] = 1.49; 95% confidence interval [CI] = 1.15, 1.92). Social inequity, expressed as the contrast between the household UBN and the predominant UBN of the neighborhood, further increased the risk (adjusted RR = 1.74; 95% CI = 1.12, 2.71). A protective effect of the mother's educational level was seen only in poor households. CONCLUSIONS: Apart from absolute level of poverty, social inequity may be an independent risk factor for infant mortality in a low-income country. In poor households, female education may contribute to preventing infant mortality. PMID:10630139

Social Class and Income Inequality in the United States: Ownership, Authority, and Personal Income Distribution from 1980 to 2010

PubMed Central

Wodtke, Geoffrey T.

2016-01-01

This study outlines a theory of social class based on workplace ownership and authority relations, and it investigates the link between social class and growth in personal income inequality since the 1980s. Inequality trends are governed by changes in between-class income differences, changes in the relative size of different classes, and changes in within-class income dispersion. Data from the General Social Survey are used to investigate each of these changes in turn and to evaluate their impact on growth in inequality at the population level. Results indicate that between-class income differences grew by about 60 percent since the 1980s and that the relative size of different classes remained fairly stable. A formal decomposition analysis indicates that changes in the relative size of different social classes had a small dampening effect and that growth in between-class income differences had a large inflationary effect on trends in personal income inequality. PMID:27087695

Social Class and Income Inequality in the United States: Ownership, Authority, and Personal Income Distribution from 1980 to 2010.

PubMed

Wodtke, Geoffrey T

2016-03-01

This study outlines a theory of social class based on workplace ownership and authority relations, and it investigates the link between social class and growth in personal income inequality since the 1980s. Inequality trends are governed by changes in between-class income differences, changes in the relative size of different classes, and changes in within-class income dispersion. Data from the General Social Survey are used to investigate each of these changes in turn and to evaluate their impact on growth in inequality at the population level. Results indicate that between-class income differences grew by about 60% since the 1980s and that the relative size of different classes remained fairly stable. A formal decomposition analysis indicates that changes in the relative size of different social classes had a small dampening effect and that growth in between-class income differences had a large inflationary effect on trends in personal income inequality.

Gender differences in socioeconomic inequality of alcohol-attributable mortality: A systematic review and meta-analysis.

PubMed

Probst, Charlotte; Roerecke, Michael; Behrendt, Silke; Rehm, Jürgen

2015-05-01

The present analysis contributes to understanding the societal distribution of alcohol-attributable harm by investigating socioeconomic inequality and related gender differences in alcohol-attributable mortality. A systematic literature search was performed on Web of Science, MEDLINE, PsycINFO and ETOH from their inception until February 2013. Articles were included when they reported data on alcohol-attributable mortality by socioeconomic status (SES), operationalised as education, occupation, employment status or income. Gender-specific relative risks (RR) comparing low with high SES were pooled using random effects meta-analyses. Gender differences were additionally investigated in random effects meta-regressions. Nineteen articles from 14 countries were included. For women, significant RRs across all measures of SES, except employment status, were found, ranging between 1.75 [95% confidence interval (CI) 1.21-2.54; occupation] and 4.78 (95% CI 2.57-8.87; income). For men, all measures of SES showed significant RRs ranging between 2.88 (95% CI 2.45-3.40; income) and 12.25 (95% CI 11.45-13.10; employment status). While RRs for men were in general slightly higher, only for occupation this gender difference was above chance (P = 0.01). Results refer to deaths 100% attributable to alcohol. The results are predominantly based on data from high-income countries, limiting generalisability. Alcohol-attributable mortality is strongly distributed to the disadvantage of persons with a low SES. Marked gender differences in this inequality were found for occupation. Possibly male-dominated occupations of low SES were more strongly related to risky drinking cultures compared with female-dominated occupations of the same SES. © 2014 Australasian Professional Society on Alcohol and other Drugs.

Socioeconomic hierarchy and health gradient in Europe: the role of income inequality and of social origins.

PubMed

Chauvel, Louis; Leist, Anja K

2015-11-14

Health inequalities reflect multidimensional inequality (income, education, and other indicators of socioeconomic position) and vary across countries and welfare regimes. To which extent there is intergenerational transmission of health via parental socioeconomic status has rarely been investigated in comparative perspective. The study sought to explore if different measures of stratification produce the same health gradient and to which extent health gradients of income and of social origins vary with level of living and income inequality. A total of 299,770 observations were available from 18 countries assessed in EU-SILC 2005 and 2011 data, which contain information on social origins. Income inequality (Gini) and level of living were calculated from EU-SILC. Logit rank transformation provided normalized inequalities and distributions of income and social origins up to the extremes of the distribution and was used to investigate net comparable health gradients in detail. Multilevel random-slope models were run to post-estimate best linear unbiased predictors (BLUPs) and related standard deviations of residual intercepts (median health) and slopes (income-health gradients) per country and survey year. Health gradients varied across different measures of stratification, with origins and income producing significant slopes after controls. Income inequality was associated with worse average health, but income inequality and steepness of the health gradient were only marginally associated. Linear health gradients suggest gains in health per rank of income and of origins even at the very extremes of the distribution. Intergenerational transmission of status gains in importance in countries with higher income inequality. Countries differ in the association of income inequality and income-related health gradient, and low income inequality may mask health problems of vulnerable individuals with low status. Not only income inequality, but other country characteristics such

The less healthy urban population: income-related health inequality in China.

PubMed

Yang, Wei; Kanavos, Panos

2012-09-18

Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. The study finds that the poor are less likely to report their health status as "excellent or good" and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality.

The less healthy urban population: income-related health inequality in China

PubMed Central

2012-01-01

Background Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. Methods This paper empirically assesses the magnitude of rural/urban disparities in income-related adult health status, i.e., self-assessed health (SAH) and physical activity limitation, using Concentration Indices. It then uses decomposition methods to unravel the causes of inequalities and their variations across urban and rural populations. Data from the China Health and Nutrition Survey (CHNS) 2006 are used. Results The study finds that the poor are less likely to report their health status as “excellent or good” and are more likely to have physical activity limitation. Such inequality is more pronounced for the urban population than for the rural population. Results from the decomposition analysis suggest that, for the urban population, 76.47 per cent to 79.07 per cent of inequalities are driven by non-demographic/socioeconomic-related factors, among which income, job status and educational level are the most important factors. For the rural population, 48.19 per cent to 77.78 per cent of inequalities are driven by non-demographic factors. Income and educational attainment appear to have a prominent influence on inequality. Conclusion The findings suggest that policy targeting the poor, especially the urban poor, is needed in order to reduce health inequality. PMID:22989200

Income inequality, distributive fairness and political trust in Latin America.

PubMed

Zmerli, Sonja; Castillo, Juan Carlos

2015-07-01

In the wake of rising levels of income inequality during the past two decades, widespread concerns emerged about the social and political consequences of the widening gap between the poor and the rich that can be observed in many established democracies. Several empirical studies substantiate the link between macro-level income inequality and political attitudes and behavior, pointing at its broad and negative implications for political equality. Accordingly, these implications are expected to be accentuated in contexts of high inequality, as is the case in Latin America. Despite these general concerns about the consequences of income inequality, few studies have accounted for the importance of individual perceptions of distributive fairness in regard to trust in political institutions. Even less is known about the extent to which distributive fairness perceptions co-vary with objective indicators of inequality. Moreover, the research in this area has traditionally focused on OECD countries, which have lower indexes of inequality than the rest of the world. This study aims at filling this gap by focusing on the relevance of distributive fairness perceptions and macro-level inequality for political trust and on how these two levels interact in Latin American countries. The analyses are based on the Latinobarometer survey 2011, which consists of 18 countries. Multilevel estimations suggest that both dimensions of inequality are negatively associated with political trust but that higher levels of macro-level inequality attenuate rather than increase the strength of the negative association between distributive fairness perceptions and political trust. Copyright © 2015 Elsevier Inc. All rights reserved.

Socioeconomic inequalities in mortality from conditions amenable to medical interventions: do they reflect inequalities in access or quality of health care?

PubMed Central

2012-01-01

Background Previous studies have reported large socioeconomic inequalities in mortality from conditions amenable to medical intervention, but it is unclear whether these can be attributed to inequalities in access or quality of health care, or to confounding influences such as inequalities in background risk of diseases. We therefore studied whether inequalities in mortality from conditions amenable to medical intervention vary between countries in patterns which differ from those observed for other (non-amenable) causes of death. More specifically, we hypothesized that, as compared to non-amenable causes, inequalities in mortality from amenable causes are more strongly associated with inequalities in health care use and less strongly with inequalities in common risk factors for disease such as smoking. Methods Cause-specific mortality data for people aged 30–74 years were obtained for 14 countries, and were analysed by calculating age-standardized mortality rates and relative risks comparing a lower with a higher educational group. Survey data on health care use and behavioural risk factors for people aged 30–74 years were obtained for 12 countries, and were analysed by calculating age-and sex-adjusted odds ratios comparing a low with a higher educational group. Patterns of association were explored by calculating correlation coefficients. Results In most countries and for most amenable causes of death substantial inequalities in mortality were observed, but inequalities in mortality from amenable causes did not vary between countries in patterns that are different from those seen for inequalities in non-amenable mortality. As compared to non-amenable causes, inequalities in mortality from amenable causes are not more strongly associated with inequalities in health care use. Inequalities in mortality from amenable causes are also not less strongly associated with common risk factors such as smoking. Conclusions We did not find evidence that inequalities in

Income Inequality or Performance Gap? A Multilevel Study of School Violence in 52 Countries.

PubMed

Contreras, Dante; Elacqua, Gregory; Martinez, Matias; Miranda, Álvaro

2015-11-01

The purpose of the study was to examine the association between income inequality and school violence and between the performance inequality and school violence in two international samples. The study used data from Trends in International Mathematics and Science Study 2011 and from the Central Intelligence Agency of United States which combined information about academic performance and students' victimization (physical and social) for 269,456 fourth-grade students and 261,747 eighth-grade students, with gross domestic product and income inequality data in 52 countries. Ecological correlations tested associations between income inequality and victimization and between school performance inequality and victimization among countries. Multilevel ordinal regression and multilevel regression analyses tested the strength of these associations when controlling for socioeconomic and academic performance inequality at school level and family socioeconomic status and academic achievement at student level. Income inequality was associated with victimization rates in both fourth and eighth grade (r ≈ .60). Performance inequality shows stronger association with victimization among eighth graders (r ≈ .46) compared with fourth graders (r ≈ .30). Multilevel analyses indicate that both an increase in the income inequality in the country and school corresponds with more frequent physical and social victimization. On the other hand, an increase in the performance inequality at the system level shows no consistent association to victimization. However, school performance inequality seems related to an increase in both types of victimizations. Our results contribute to the finding that income inequality is a determinant of school violence. This result holds regardless of the national performance inequality between students. Copyright © 2015 Society for Adolescent Health and Medicine. Published by Elsevier Inc. All rights reserved.

[Inequalities in mortality in the Italian longitudinal studies].

PubMed

Cardano, M; Costa, G; Demaria, M; Merler, E; Biggeri, A

1999-01-01

The article presents some of the most relevant results on inequalities in mortality, obtained by the two Italian longitudinal studies carried out in Turin, and Tuscany (in Leghorn and Florence). The two studies share the same methodology. Each database contains census data, information from population register and from death certificates. The authors approach this issue not in an analytical way (as they did in the works cited in the reference list), but answering some questions, relevant both from a scientific and a political point of view. How big are the health inequalities in Italy? Are the health inequalities in Italy increasing or decreasing? Are the health inequalities due to absolute or to relative deprivation? Does the mortality profile of the Italian population express the presence of old or new health inequalities? Can the health inequalities be reduced? The study's results prove that the health inequalities in Italy are deep and strictly related to individuals' position in the social fabric. Facing the other questions the authors focus only in the Turin data. From the 1970's to the 1990's the health inequalities in Turin have increased, despite of general improvement of population's health condition and the progressive reduction of the size of deprived groups. Turin data support both the hypotheses on the source of health inequalities, using long term unemployment as absolute deprivation's indicator, and status' inconsistency as (a row) indicator of relative deprivation. The growth of drug-related causes of death (AIDS and overdose) shows that in the Turin and--quite reasonably--Italian population old and new health inequalities live together. The essay closes offering evidence on the possibility to reduce health inequalities. For this purpose the authors analyses the Turin trend of avoidable deaths and infant and adolescent mortality.

Tract- and County-Level Income Inequality and Individual Risk of Obesity in the United States

PubMed Central

Fan, Jessie X.; Wen, Ming; Kowaleski-Jones, Lori

2015-01-01

Objectives We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Methods Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003–2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. Results At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Conclusions Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. PMID:26680289

Tract- and county-level income inequality and individual risk of obesity in the United States.

PubMed

Fan, Jessie X; Wen, Ming; Kowaleski-Jones, Lori

2016-01-01

We tested three alternative hypotheses regarding the relationship between income inequality and individual risk of obesity at two geographical scales: U.S. Census tract and county. Income inequality was measured by Gini coefficients, created from the 2000 U.S. Census. Obesity was clinically measured in the 2003-2008 National Health and Nutrition Examination Survey (NHANES). The individual measures and area measures were geo-linked to estimate three sets of multi-level models: tract only, county only, and tract and county simultaneously. Gender was tested as a moderator. At both the tract and county levels, higher income inequality was associated with lower individual risk of obesity. The size of the coefficient was larger for county-level Gini than for tract-level Gini; and controlling income inequality at one level did not reduce the impact of income inequality at the other level. Gender was not a significant moderator for the obesity-income inequality association. Higher tract and county income inequality was associated with lower individual risk of obesity, indicating that at least at the tract and county levels and in the context of cross-sectional data, the public health goal of reducing the rate of obesity is in line with anti-poverty policies of addressing poverty through mixed-income development where neighborhood income inequality is likely higher than homogeneous neighborhoods. Copyright © 2015 Elsevier Inc. All rights reserved.

Squeezing blood from a stone: how income inequality affects the health of the American workforce.

PubMed

Williams, Jessica Allia R; Rosenstock, Linda

2015-04-01

Income inequality is very topical-in both political and economic circles-but although income and socioeconomic status are known determinants of health status, income inequality has garnered scant attention with respect to the health of US workers. By several measures, income inequality in the United States has risen since 1960. In addition to pressures from an increasingly competitive labor market, with cash wages losing out to benefits, workers face pressures from changes in work organization. We explored these factors and the mounting evidence of income inequality as a contributing factor to poorer health for the workforce. Although political differences may divide the policy approaches undertaken, addressing income inequality is likely to improve the overall social and health conditions for those affected.

Squeezing Blood From a Stone: How Income Inequality Affects the Health of the American Workforce

PubMed Central

Rosenstock, Linda

2015-01-01

Income inequality is very topical—in both political and economic circles—but although income and socioeconomic status are known determinants of health status, income inequality has garnered scant attention with respect to the health of US workers. By several measures, income inequality in the United States has risen since 1960. In addition to pressures from an increasingly competitive labor market, with cash wages losing out to benefits, workers face pressures from changes in work organization. We explored these factors and the mounting evidence of income inequality as a contributing factor to poorer health for the workforce. Although political differences may divide the policy approaches undertaken, addressing income inequality is likely to improve the overall social and health conditions for those affected. PMID:25713936

Are health inequalities really not the smallest in the Nordic welfare states? A comparison of mortality inequality in 37 countries.

PubMed

Popham, Frank; Dibben, Chris; Bambra, Clare

2013-05-01

Research comparing mortality by socioeconomic status has found that inequalities are not the smallest in the Nordic countries. This is in contrast to expectations given these countries' policy focus on equity. An alternative way of studying inequality has been little used to compare inequalities across welfare states and may yield a different conclusion. We used average life expectancy lost per death as a measure of total inequality in mortality derived from death rates from the Human Mortality Database for 37 countries in 2006 that we grouped by welfare state type. We constructed a theoretical 'lowest mortality comparator country' to study, by age, why countries were not achieving the smallest inequality and the highest life expectancy. We also studied life expectancy as there is an important correlation between it and inequality. On average, Nordic countries had the highest life expectancy and smallest inequalities for men but not women. For both men and women, Nordic countries had particularly low younger age mortality contributing to smaller inequality and higher life expectancy. Although older age mortality in the Nordic countries is not the smallest. There was variation within Nordic countries with Sweden, Iceland and Norway having higher life expectancy and smaller inequalities than Denmark and Finland (for men). Our analysis suggests that the Nordic countries do have the smallest inequalities in mortality for men and for younger age groups. However, this is not the case for women. Reducing premature mortality among older age groups would increase life expectancy and reduce inequality further in Nordic countries.

Are health inequalities really not the smallest in the Nordic welfare states? A comparison of mortality inequality in 37 countries

PubMed Central

Popham, Frank; Dibben, Chris; Bambra, Clare

2013-01-01

Background Research comparing mortality by socioeconomic status has found that inequalities are not the smallest in the Nordic countries. This is in contrast to expectations given these countries’ policy focus on equity. An alternative way of studying inequality has been little used to compare inequalities across welfare states and may yield a different conclusion. Methods We used average life expectancy lost per death as a measure of total inequality in mortality derived from death rates from the Human Mortality Database for 37 countries in 2006 that we grouped by welfare state type. We constructed a theoretical ‘lowest mortality comparator country’ to study, by age, why countries were not achieving the smallest inequality and the highest life expectancy. We also studied life expectancy as there is an important correlation between it and inequality. Results On average, Nordic countries had the highest life expectancy and smallest inequalities for men but not women. For both men and women, Nordic countries had particularly low younger age mortality contributing to smaller inequality and higher life expectancy. Although older age mortality in the Nordic countries is not the smallest. There was variation within Nordic countries with Sweden, Iceland and Norway having higher life expectancy and smaller inequalities than Denmark and Finland (for men). Conclusions Our analysis suggests that the Nordic countries do have the smallest inequalities in mortality for men and for younger age groups. However, this is not the case for women. Reducing premature mortality among older age groups would increase life expectancy and reduce inequality further in Nordic countries. PMID:23386671

Nations’ Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap

PubMed Central

Durante, Federica; Fiske, Susan T.; Kervyn, Nicolas; Cuddy, Amy J. C.; Akande, Adebowale (Debo); Adetoun, Bolanle E.; Adewuyi, Modupe F.; Tserere, Magdeline M.; Ramiah, Ananthi Al; Mastor, Khairul Anwar; Barlow, Fiona Kate; Bonn, Gregory; Tafarodi, Romin W.; Bosak, Janine; Cairns, Ed; Doherty, Claire; Capozza, Dora; Chandran, Anjana; Chryssochoou, Xenia; Iatridis, Tilemachos; Contreras, Juan Manuel; Costa-Lopes, Rui; González, Roberto; Lewis, Janet I.; Tushabe, Gerald; Leyens, Jacques-Philippe; Mayorga, Renée; Rouhana, Nadim N.; Castro, Vanessa Smith; Perez, Rolando; Rodríguez-Bailón, Rosa; Moya, Miguel; Morales Marente, Elena; Palacios Gálvez, Marisol; Sibley, Chris G.; Asbrock, Frank; Storari, Chiara C.

2013-01-01

Income inequality undermines societies: the more inequality, the more health problems, social tensions, and the lower social mobility, trust, life expectancy. Given people’s tendency to legitimate existing social arrangements, the Stereotype Content Model (SCM) argues that ambivalence—perceiving many groups as either warm or competent, but not both—may help maintain socio-economic disparities. The association between stereotype ambivalence and income inequality in 37 cross-national samples from Europe, the Americas, Oceania, Asia, and Africa investigates how groups’ overall warmth-competence, status-competence, and competition-warmth correlations vary across societies, and whether these variations associate with income inequality (Gini index). More unequal societies report more ambivalent stereotypes, while more equal ones dislike competitive groups and do not necessarily respect them as competent. Unequal societies may need ambivalence for system stability: income inequality compensates groups with partially positive social images. PMID:23039178

Does government expenditure reduce inequalities in infant mortality rates in low- and middle-income countries?: A time-series, ecological analysis of 48 countries from 1993 to 2013.

PubMed

Baker, Peter; Hone, Thomas; Reeves, Aaron; Avendano, Mauricio; Millett, Christopher

2018-06-27

Inequalities in infant mortality rates (IMRs) are rising in some low- and middle-income countries (LMICs) and decreasing in others, but the explanation for these divergent trends is unclear. We investigate whether government expenditures and redistribution are associated with reductions in inequalities in IMRs. We estimated country-level fixed-effects panel regressions for 48 LMICs (142 country observations). Slope and Relative Indices of Inequality in IMRs (SII and RII) were calculated from Demographic and Health Surveys between 1993 and 2013. RII and SII were regressed on government expenditure (total, health and non-health) and redistribution, controlling for gross domestic product (GDP), private health expenditures, a democracy indicator, country fixed effects and time. Mean SII and RII was 39.12 and 0.69, respectively. In multivariate models, a 1 percentage point increase in total government expenditure (% of GDP) was associated with a decrease in SII of -2.468 [95% confidence intervals (CIs): -4.190, -0.746] and RII of -0.026 (95% CIs: -0.048, -0.004). Lower inequalities were associated with higher non-health government expenditure, but not higher government health expenditure. Associations with inequalities were non-significant for GDP, government redistribution, and private health expenditure. Understanding how non-health government expenditure reduces inequalities in IMR, and why health expenditures may not, will accelerate progress towards the Sustainable Development Goals.

Socioeconomic inequality in smoking in low-income and middle-income countries: results from the World Health Survey.

PubMed

Hosseinpoor, Ahmad Reza; Parker, Lucy Anne; Tursan d'Espaignet, Edouard; Chatterji, Somnath

2012-01-01

To assess the magnitude and pattern of socioeconomic inequality in current smoking in low and middle income countries. We used data from the World Health Survey [WHS] in 48 low-income and middle-income countries to estimate the crude prevalence of current smoking according to household wealth quintile. A Poisson regression model with a robust variance was used to generate the Relative Index of Inequality [RII] according to wealth within each of the countries studied. In males, smoking was disproportionately prevalent in the poor in the majority of countries. In numerous countries the poorest men were over 2.5 times more likely to smoke than the richest men. Socioeconomic inequality in women was more varied showing patterns of both pro-rich and pro-poor inequality. In 20 countries pro-rich relative socioeconomic inequality was statistically significant: the poorest women had a higher prevalence of smoking compared to the richest women. Conversely, in 9 countries women in the richest population groups had a statistically significant greater risk of smoking compared to the poorest groups. Both the pattern and magnitude of relative inequality may vary greatly between countries. Prevention measures should address the specific pattern of smoking inequality observed within a population.

Socioeconomic Inequality in Smoking in Low-Income and Middle-Income Countries: Results from the World Health Survey

PubMed Central

Hosseinpoor, Ahmad Reza; Parker, Lucy Anne; Tursan d'Espaignet, Edouard; Chatterji, Somnath

2012-01-01

Objectives To assess the magnitude and pattern of socioeconomic inequality in current smoking in low and middle income countries. Methods We used data from the World Health Survey [WHS] in 48 low-income and middle-income countries to estimate the crude prevalence of current smoking according to household wealth quintile. A Poisson regression model with a robust variance was used to generate the Relative Index of Inequality [RII] according to wealth within each of the countries studied. Results In males, smoking was disproportionately prevalent in the poor in the majority of countries. In numerous countries the poorest men were over 2.5 times more likely to smoke than the richest men. Socioeconomic inequality in women was more varied showing patterns of both pro-rich and pro-poor inequality. In 20 countries pro-rich relative socioeconomic inequality was statistically significant: the poorest women had a higher prevalence of smoking compared to the richest women. Conversely, in 9 countries women in the richest population groups had a statistically significant greater risk of smoking compared to the poorest groups. Conclusion Both the pattern and magnitude of relative inequality may vary greatly between countries. Prevention measures should address the specific pattern of smoking inequality observed within a population. PMID:22952617

Household income, income inequality, and health-related quality of life measured by the EQ-5D in Shaanxi, China: a cross-sectional study.

PubMed

Tan, Zhijun; Shi, Fuyan; Zhang, Haiyue; Li, Ning; Xu, Yongyong; Liang, Ying

2018-03-14

In advanced economies, economic factors have been found to be associated with many health outcomes, including health-related quality of life (HRQL), and people's health is affected more by income inequality than by absolute income. However, few studies have examined the association of income inequality and absolute income with HRQL in transitional economies using individual data. This paper focuses on the effects of county or district income inequality and absolute income on the HRQL measured by EQ-5D and the differences between rural and urban regions in Shaanxi province, China. Data were collected from the 2008 National Health Service Survey conducted in Shaanxi, China. The EQ-5D index based on Japanese weights was employed as a health indicator. The income inequality was calculated on the basis of self-reported income. The special requirements for complex survey data analysis were considered in the bivariate analysis and linear regression models. The mean of the EQ-5D index was 94.6. The EQ-5D index of people with low income was lower than that in the high-income group (for people in the rural region: 93.2 v 96.1, P < 0.01; for people in the urban region: 95.5 v 96.8, P < 0.01). Compared with people with moderate inequality, the EQ-5D index of those with high inequality was relatively lower (for people living in the rural region: 91.1 v 95.8, P < 0.01; for people living in the urban region: 95.6 v 97.3, P < 0.01). Adjusted by age, gender, education, marital status, employment, medical insurance, and chronic disease, all the coefficients of the low-income group and high income inequality were significantly negative. After stratifying by income group, all the effects of high income inequality remained negative in both income groups. However, the coefficients of the models in the high income group were not statistically significant. Income inequality has damaging effects on HRQL in Shaanxi, China, especially for people with low income. In addition

Inequality in Maternal Mortality in Iran: An Ecologic Study

PubMed Central

Tajik, Parvin; Nedjat, Saharnaz; Afshar, Nozhat Emami; Changizi, Nasrin; Yazdizadeh, Bahareh; Azemikhah, Arash; Aamrolalaei, Sima; Majdzadeh, Reza

2012-01-01

Background: Maternal mortality (MM) is an avoidable death and there is national, international and political commitment to reduce it. The objective of this study is to examine the relation of MM to socioeconomic factors and its inequality in Iran's provinces at an ecologic level. Methods: The overall MM from each province was considered for 3 years from 2004 to 2006. The five independent variables whose relations were studied included the literacy rate among men and women in each province, mean annual household income per capita, Gini coefficients in each province, and Human Development Index (HDI). The correlation of Maternal Mortality Ratio (MMR) to the above five variables was evaluated through Pearson's correlation coefficient (simple and weighted for each province's population) and linear regression – by considering MMR as the dependent variable and the Gini coefficient, HDI, and difference in literacy rate among men and women as the independent variables. Results: The mean MMR in the years 2004–2006 was 24.7 in 100,000 live births. The correlation coefficients between MMR and literacy rate among women, literacy rate among men, the mean annual household income per capita, Gini coefficient and HDI were 0.82, 0.90, –0.61, 0.52 and –0.77, respectively. Based on multivariate regression, MMR was significantly associated with HDI (standardized B=–0.93) and difference in literacy rate among men and women (standardized B=–0.47). However, MMR was not significantly associated with the Gini coefficient. Conclusion: This study shows the association between socioeconomic variables and their inequalities with MMR in Iran's provinces at an ecologic level. In addition to the other direct interventions performed to reduce MM, it seems essential to especially focus on more distal factors influencing MMR. PMID:22347608

Income inequality, social capital and self-rated health and dental status in older Japanese.

PubMed

Aida, Jun; Kondo, Katsunori; Kondo, Naoki; Watt, Richard G; Sheiham, Aubrey; Tsakos, Georgios

2011-11-01

The erosion of social capital in more unequal societies is one mechanism for the association between income inequality and health. However, there are relatively few multi-level studies on the relation between income inequality, social capital and health outcomes. Existing studies have not used different types of health outcomes, such as dental status, a life-course measure of dental disease reflecting physical function in older adults, and self-rated health, which reflects current health status. The objective of this study was to assess whether individual and community social capital attenuated the associations between income inequality and two disparate health outcomes, self-rated health and dental status in Japan. Self-administered questionnaires were mailed to subjects in an ongoing Japanese prospective cohort study, the Aichi Gerontological Evaluation Study Project in 2003. Responses in Aichi, Japan, obtained from 5715 subjects and 3451 were included in the final analysis. The Gini coefficient was used as a measure of income inequality. Trust and volunteering were used as cognitive and structural individual-level social capital measures. Rates of subjects reporting mistrust and non-volunteering in each local district were used as cognitive and structural community-level social capital variables respectively. The covariates were sex, age, marital status, education, individual- and community-level equivalent income and smoking status. Dichotomized responses of self-rated health and number of remaining teeth were used as outcomes in multi-level logistic regression models. Income inequality was significantly associated with poor dental status and marginally significantly associated with poor self-rated health. Community-level structural social capital attenuated the covariate-adjusted odds ratio of income inequality for self-rated health by 16% whereas the association between income inequality and dental status was not substantially changed by any social capital

Income inequality in the United States and its potential effect on oral health.

PubMed

Moeller, Jamie; Starkel, Rebecca; Quiñonez, Carlos; Vujicic, Marko

2017-06-01

The authors explored the relationship between income inequality and self-reported oral health and oral health-related quality of life. The authors used an online survey to gather data about US adults' perceptions of their overall oral health and how oral health affected their quality of life. The authors categorized respondents as coming from areas of low, medium, or high income inequality on the basis of a county-level Gini coefficient. Results of χ 2 tests and an analysis of variance indicated that there was a significant association between income inequality and oral health as measured by using the overall condition of the mouth and teeth, life satisfaction, and frequency of experiencing functional and social problems related to oral health. Generally, adults from areas of lower income inequality reported better oral health and oral health-related quality of life. Income inequality has the potential to affect both functional and social dimensions of oral health, possibly through a psychosocial pathway. Future research is necessary to determine whether any causal link exists. Our findings may inform oral health policy. Long-term policies designed to improve the oral health of Americans could work best when supported by policies designed to reduce levels of income inequality, and thereby, may reduce oral health inequalities. Further research is needed to examine the effectiveness of such policies. Copyright © 2017 American Dental Association. Published by Elsevier Inc. All rights reserved.

National Income, Inequality and Global Patterns of Cigarette Use

ERIC Educational Resources Information Center

Pampel, Fred

2007-01-01

Declining tobacco use in high-income nations and rising tobacco use in low- and middle-income nations raises questions about the sources of worldwide patterns of smoking. Theories posit a curvilinear influence of national income based on the balance of affordability and health-cost effects. In addition, however, economic inequality, gender…

Nations' income inequality predicts ambivalence in stereotype content: how societies mind the gap.

PubMed

Durante, Federica; Fiske, Susan T; Kervyn, Nicolas; Cuddy, Amy J C; Akande, Adebowale Debo; Adetoun, Bolanle E; Adewuyi, Modupe F; Tserere, Magdeline M; Ramiah, Ananthi Al; Mastor, Khairul Anwar; Barlow, Fiona Kate; Bonn, Gregory; Tafarodi, Romin W; Bosak, Janine; Cairns, Ed; Doherty, Claire; Capozza, Dora; Chandran, Anjana; Chryssochoou, Xenia; Iatridis, Tilemachos; Contreras, Juan Manuel; Costa-Lopes, Rui; González, Roberto; Lewis, Janet I; Tushabe, Gerald; Leyens, Jacques-Philippe; Mayorga, Renée; Rouhana, Nadim N; Castro, Vanessa Smith; Perez, Rolando; Rodríguez-Bailón, Rosa; Moya, Miguel; Morales Marente, Elena; Palacios Gálvez, Marisol; Sibley, Chris G; Asbrock, Frank; Storari, Chiara C

2013-12-01

Income inequality undermines societies: The more inequality, the more health problems, social tensions, and the lower social mobility, trust, life expectancy. Given people's tendency to legitimate existing social arrangements, the stereotype content model (SCM) argues that ambivalence-perceiving many groups as either warm or competent, but not both-may help maintain socio-economic disparities. The association between stereotype ambivalence and income inequality in 37 cross-national samples from Europe, the Americas, Oceania, Asia, and Africa investigates how groups' overall warmth-competence, status-competence, and competition-warmth correlations vary across societies, and whether these variations associate with income inequality (Gini index). More unequal societies report more ambivalent stereotypes, whereas more equal ones dislike competitive groups and do not necessarily respect them as competent. Unequal societies may need ambivalence for system stability: Income inequality compensates groups with partially positive social images. © 2012 The British Psychological Society.

Inequalities in premature mortality in Britain: observational study from 1921 to 2007.

PubMed

Thomas, Bethan; Dorling, Danny; Smith, George Davey

2010-07-22

To report on the extent of inequality in premature mortality as measured between geographical areas in Britain. Observational study of routinely collected mortality data and public records. Population subdivided by age, sex, and geographical area (parliamentary constituencies from 1991 to2007, pre-1974 local authorities over a longer time span). Great Britain. Entire population aged under 75 from 1990 to 2007, and entire population aged under 65 in the periods 1921-39, 1950-3, 1959-63, 1969-73, and 1981-2007. Relative index of inequality (RII) and ratios of inequality in age-sex standardised mortality ratios under ages 75 and 65. The relative index of inequality is the relative rate of mortality for the hypothetically worst-off compared with the hypothetically best-off person in the population, assuming a linear association between socioeconomic position and risk of mortality. The ratio of inequality is the ratio of the standardised mortality ratio of the most deprived 10% to the least deprived 10%. When measured by the relative index of inequality, geographical inequalities in age-sex standardised rates of mortality below age 75 have increased every two years from 1990-1 to 2006-7 without exception. Over this period the relative index of inequality increased from 1.61 (95% confidence interval 1.52 to 1.69) in 1990-1 to 2.14 (2.02 to 2.27) in 2006-7. Simple ratios indicated a brief period around 2001 when a small reduction in inequality was recorded, but this was quickly reversed and inequalities up to the age of 75 have now reached the highest levels reported since at least 1990. Similarly, inequalities in mortality ratios under the age of 65 improved slightly in the early years of this century but the latest figures surpass the most extreme previously reported. Comparison of crudely age-sex standardised rates for those below age 65 from historical records showed that geographical inequalities in mortality are higher in the most recent decade than in any similar

Country-level economic disparity and child mortality related to housing and injuries: a study in 26 European countries.

PubMed

Sengoelge, Mathilde; Elling, Berty; Laflamme, Lucie; Hasselberg, Marie

2013-10-01

Adverse living standards are associated with poorer child health and safety. This study investigates whether adverse housing and neighbourhood conditions contribute to explain country-level associations between a country's economic level and income inequality and child mortality, specifically injury mortality. Ecological, cross-sectional study. Twenty-six European countries were grouped according to two country-level economic measures from Eurostat: gross domestic product (GDP) and income inequality. Adverse country-level housing and neighbourhood conditions were assessed using data from the 2006 European Union Income Social Inclusion and Living Conditions Database (n=203 000). Child mortality incidence rates were derived for children aged 1-14 years for all causes, all injuries, road traffic injuries and unintentional injuries excluding road traffic. Linear regression analysis was applied to measure whether housing or neighbourhood conditions have a significant association with child mortality and whether a strain modified the association between GDP/income inequality and mortality. Country-level income inequality and GDP demonstrated a significant association with child mortality for all outcomes. A significant association was also found between housing strain and all child mortality outcomes, but not for neighbourhood strain. Housing strain partially modified the relationship between income inequality and GDP and all child mortality outcomes, with the exception of income inequality and road traffic injury mortality showing full mediation by housing strain. Adverse housing conditions are a likely pathway in the country-level association between income inequality and economic GDP and child injury mortality.

Regional income inequality model based on theil index decomposition and weighted variance coeficient

NASA Astrophysics Data System (ADS)

Sitepu, H. R.; Darnius, O.; Tambunan, W. N.

2018-03-01

Regional income inequality is an important issue in the study on economic development of a certain region. Rapid economic development may not in accordance with people’s per capita income. The method of measuring the regional income inequality has been suggested by many experts. This research used Theil index and weighted variance coefficient in order to measure the regional income inequality. Regional income decomposition which becomes the productivity of work force and their participation in regional income inequality, based on Theil index, can be presented in linear relation. When the economic assumption in j sector, sectoral income value, and the rate of work force are used, the work force productivity imbalance can be decomposed to become the component in sectors and in intra-sectors. Next, weighted variation coefficient is defined in the revenue and productivity of the work force. From the quadrate of the weighted variation coefficient result, it was found that decomposition of regional revenue imbalance could be analyzed by finding out how far each component contribute to regional imbalance which, in this research, was analyzed in nine sectors of economic business.

Income differentials in functional disability in old age: relative risks of onset, recovery, decline, attrition and mortality.

PubMed

Broese van Groenou, Marjolein I; Deeg, Dorly J H; Penninx, Brenda W J H

2003-04-01

Socioeconomic status (SES) differences in health decline in late life may be underestimated, because the relatively higher risks of attrition of lower-SES persons are seldom taken into account. This longitudinal study aimed at comparing income differences in the course of disability, non-mortality attrition and mortality in older adults. A sample population of 3107 older adults who participated in the 1992/1993 baseline of the Longitudinal Aging Study Amsterdam was examined regarding changes in functional disability in 1998/1999. SES was indicated by household income. Multinomial regression analyses revealed that, for men without disability at baseline, the relative rate for attrition was four times higher and the mortality rate was twice as high for low-income vs high-income persons. For non-disabled women, the relative risk for the onset of disability was nearly twice as high for low-income vs high-income persons. For both men and women, these risks decreased only slightly when behavioral and psychosocial risk factors were taken into account. Among persons with disability at baseline, the relative risks for attrition (for women) and mortality (for men) were twice as high for low-income persons, but no income differences were found with respect to recovery and decline. Adjustment for risk factors decreased the relative risks for attrition and mortality to a non-significant level. Income inequality in health in late life is to a large degree explained by the higher incidence of disability among lower-status women and by the higher attrition and mortality risks among lower-status men.

Socioeconomic and Racial/Ethnic Disparities in Cancer Mortality, Incidence, and Survival in the United States, 1950–2014: Over Six Decades of Changing Patterns and Widening Inequalities

PubMed Central

Jemal, Ahmedin

2017-01-01

We analyzed socioeconomic and racial/ethnic disparities in US mortality, incidence, and survival rates from all-cancers combined and major cancers from 1950 to 2014. Census-based deprivation indices were linked to national mortality and cancer data for area-based socioeconomic patterns in mortality, incidence, and survival. The National Longitudinal Mortality Study was used to analyze individual-level socioeconomic and racial/ethnic patterns in mortality. Rates, risk-ratios, least squares, log-linear, and Cox regression were used to examine trends and differentials. Socioeconomic patterns in all-cancer, lung, and colorectal cancer mortality changed dramatically over time. Individuals in more deprived areas or lower education and income groups had higher mortality and incidence rates than their more affluent counterparts, with excess risk being particularly marked for lung, colorectal, cervical, stomach, and liver cancer. Education and income inequalities in mortality from all-cancers, lung, prostate, and cervical cancer increased during 1979–2011. Socioeconomic inequalities in cancer mortality widened as mortality in lower socioeconomic groups/areas declined more slowly. Mortality was higher among Blacks and lower among Asian/Pacific Islanders and Hispanics than Whites. Cancer patient survival was significantly lower in more deprived neighborhoods and among most ethnic-minority groups. Cancer mortality and incidence disparities may reflect inequalities in smoking, obesity, physical inactivity, diet, alcohol use, screening, and treatment. PMID:28408935

Has Growing Income Inequality Come to an End?

ERIC Educational Resources Information Center

Ryscavage, Paul

The Gini index of household income indicates that, after rising for the past 2 decades, the inequality of income distribution in the United States stabilized between 1987 and 1991. This paper examines this apparent stabilization to determine whether other measures can corroborate the Gini index and to identify any changes in underlying factors…

Income-related children's health inequality and health achievement in China.

PubMed

Chen, Lu; Wu, Ya; Coyte, Peter C

2014-10-29

This study assessed income-related health inequality and health achievement in children in China, and additionally, examined province-level variations in health achievement. Longitudinal data on 19,801 children under 18 years of age were derived from the China Health and Nutrition Survey. Income-related health inequality and health achievement were measured by the Health Concentration and Health Achievement Indices, respectively. Panel data with a fixed effect multiple regression model was employed to examine province-level variations in health achievement. A growing trend was towards greater health inequality among Chinese children over the last two decades. Although health achievement was getting better over time, the pro-rich inequality component has lessened the associated gain in achievement. Health achievement was positively impacted by middle school enrollments, the urbanization rate, inflation-adjusted per capita gross domestic product, and per capita public health spending. This study has provided evidence that average health status of Chinese children has improved, but inequality has widened. Widening inequality slowed the growth in health achievement for children over time. There were wide variations in health achievement throughout China.

Educational inequalities in mortality and associated risk factors: German--versus French-speaking Switzerland.

PubMed

Faeh, David; Bopp, Matthias

2010-09-22

Between the French- and German-speaking areas of Switzerland, there are distinct differences in mortality, similar to those between Germany and France. Assessing corresponding inequalities may elucidate variations in mortality and risk factors, thereby uncovering public health potential. Our aim was to analyze educational inequalities in all-cause and cause-specific mortality in the two Swiss regions and to compare this with inequalities in behavioural risk factors and self-rated health. The Swiss National Cohort, a longitudinal census-based record linkage study, provided mortality and survival time data (3.5 million individuals, 40-79 years, 261,314 deaths, 1990-2000). The Swiss Health Survey 1992/93 provided cross-sectional data on risk factors. Inequalities were calculated as percentage of change in mortality rate (survival time, hazard ratio) or risk factor prevalence (odds ratio) per year of additional education using multivariable Cox and logistic regression. Significant inequalities in mortality were found for all causes of death in men and for most causes in women. Inequalities were largest in men for causes related to smoking and alcohol use and in women for circulatory diseases. Gradients in all-cause mortality were more pronounced in younger and middle-aged men, especially in German-speaking Switzerland. Mortality inequalities tended to be larger in German-speaking Switzerland whereas inequalities in associated risk factors were generally more pronounced in French-speaking Switzerland. With respect to inequalities in mortality and associated risk factors, we found characteristic differences between German- and French-speaking Switzerland, some of which followed gradients described in Europe. These differences only partially reflected inequalities in associated risk factors.

Income, Wealth and Health Inequalities - A Scottish Social Justice Perspective.

PubMed

Molony, Elspeth; Duncan, Christine

2016-01-01

This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice-health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare.

Socioeconomic inequality and its determinants regarding infant mortality in iran.

PubMed

Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

2014-06-01

Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children's addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case's home asset, education and job of the household's head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality.

Social inequalities in mortality by cause among men and women in France.

PubMed

Saurel-Cubizolles, M-J; Chastang, J-F; Menvielle, G; Leclerc, A; Luce, D

2009-03-01

The aim of this study was to compare inequalities in mortality (all causes and by cause) by occupational group and educational level between men and women living in France in the 1990s. Data were analysed from a permanent demographic sample currently including about one million people. The French Institute of Statistics (INSEE) follows the subjects and collects demographic, social and occupational information from the census schedules and vital status forms. Causes of death were obtained from the national file of the French Institute of Health and Medical Research (INSERM). A relative index of inequality (RII) was calculated to quantify inequalities as a function of educational level and occupational group. Overall all-cause mortality, mortality due to cancer, mortality due to cardiovascular disease and mortality due to external causes (accident, suicide, violence) were considered. Overall, social inequalities were found to be wider among men than among women, for all-cause mortality, cancer mortality and external-cause mortality. However, this trend was not observed for cardiovascular mortality, for which the social inequalities were greater for women than for men, particularly for mortality due to ischaemic cardiac diseases. This study provides evidence for persistent social inequalities in mortality in France, in both men and women. These findings highlight the need for greater attention to social determinants of health. The reduction of cardiovascular disease mortality in low educational level groups should be treated as a major public health priority.

Income-related inequality in health and health care utilization in Chile, 2000-2009.

PubMed

Vásquez, Felipe; Paraje, Guillermo; Estay, Manuel

2013-02-01

To measure and explain income-related inequalities in health and health care utilization in the period 2000 - 2009 in Chile, while assessing variations within the country and determinants of inequalities. Data from the National Socioeconomic Characterization Survey for 2000, 2003, and 2009 were used to measure inequality in health and health care utilization. Income-related inequality in health care utilization was assessed with standardized concentration indices for the probability and total number of visits to specialized care, generalized care, emergency care, dental care, mental health care, and hospital care. Self-assessed health status and physical limitations were used as proxies for health care need. Standardization was performed with demographic and need variables. The decomposition method was applied to estimate the contribution of each factor used to calculate the concentration index, including ethnicity, employment status, health insurance, and region of residence. In Chile, people in lower-income quintiles report worse health status and more physical limitations than people in higher quintiles. In terms of health service utilization, pro-rich inequities were found for specialized and dental visits with a slight pro-rich utilization for general practitioners and all physician visits. All pro-rich inequities have decreased over time. Emergency room visits and hospitalizations are concentrated among lower-income quintiles and have increased over time. Higher education and private health insurance contribute to a pro-rich inequity in dentist, general practitioner, specialized, and all physician visits. Income contributes to a pro-rich inequity in specialized and dentist visits, whereas urban residence and economic activity contribute to a pro-poor inequity in emergency room visits. The pattern of health care utilization in Chile is consistent with policies implemented in the country and in the intended direction. The significant income inequality in the

Income Inequality, Race, and Child Well-Being: An Aggregate Analysis in the 50 United States

ERIC Educational Resources Information Center

McLeod, Jane D.; Nonnemaker, James M.; Call, Kathleen Thiede

2004-01-01

Interest in income inequality as a predictor of health has exploded since the mid-1990s. Recent analyses suggest, however, that the effect of income inequality on population health is not robust to a control for the racial composition of the population. That observation raises two interpretational questions. First, does income inequality have an…

Income inequality and mental illness-related morbidity and resilience: a systematic review and meta-analysis.

PubMed

Ribeiro, Wagner Silva; Bauer, Annette; Andrade, Mário César Rezende; York-Smith, Marianna; Pan, Pedro Mario; Pingani, Luca; Knapp, Martin; Coutinho, Evandro Silva Freire; Evans-Lacko, Sara

2017-07-01

Studies of the association between income inequality and mental health have shown mixed results, probably due to methodological heterogeneity. By dealing with such heterogeneity through a systematic review and meta-analysis, we examine the association between income inequality, mental health problems, use of mental health services, and resilience (defined as the ability to cope with adversity). We searched the Global Health, PsychARTICLES, PsycINFO, Social Policy and Practice, Embase and MEDLINE databases up to July 6, 2016, for quantitative studies of the association of income inequality with prevalence or incidence of mental disorders or mental health problems, use of mental health services, and resilience. Eligible studies used standardised instruments at the individual level, and income inequality at the aggregated, contextual, and ecological level. We extracted study characteristics, sampling, exposure, outcomes, statistical modelling, and parameters from articles. Because several studies did not provide enough statistical information to be included in a meta-analysis, we did a narrative synthesis to summarise results with studies categorised as showing either a positive association, mixed results, or no association. The primary outcome in the random-effects meta-analysis was mental health-related morbidity, defined as the prevalence or incidence of any mental health problem. This study is registered with PROSPERO, number CRD42016036377. Our search identified 15 615 non-duplicate references, of which 113 were deemed potentially relevant and were assessed for eligibility, leading to the inclusion of 27 studies in the qualitative synthesis. Nine articles found a positive association between income inequality and the prevalence or incidence of mental health problems; ten articles found mixed results, with positive association in some subgroups and non-significant or negative association in other subgroups; and eight articles found no association between income

Multivariate Analysis of Income Inequality: Data from 32 Nations.

ERIC Educational Resources Information Center

Stack, Steven

To analyze income inequality in 32 nations, the research tested hypotheses based upon eight socioeconomic variables. The first seven variables, often tested in income research, were: political participation, industrial development, population growth, educational level, inflation rate, economic growth, and technological complexity. The eighth…

Family structure and income inequality in families with children, 1976 to 2000.

PubMed

Martin, Molly A

2006-08-01

Using 24 years of data from the March supplements to the Current Population Survey and detailed categories of family structure, including cohabiting unions, I assess the contribution of changes in family structure to the dramatic rise in family income inequality. Between 1976 and 2000, family structure shifts explain 41% of the increase in inequality, but the influence of family structure change is not uniform within this period or across racial-ethnic groups. In general, the estimated role of family structure change is inversely related to the magnitude of the changes in inequality. Furthermore, by including cohabitation, I find lower levels of total inequality and a weaker role for demographic shifts in family structure for trends in income inequality.

School bullying, homicide and income inequality: a cross-national pooled time series analysis.

PubMed

Elgar, Frank J; Pickett, Kate E; Pickett, William; Craig, Wendy; Molcho, Michal; Hurrelmann, Klaus; Lenzi, Michela

2013-04-01

To examine the relation between income inequality and school bullying (perpetration, victimisation and bully/victims) and explore whether the relation is attributable to international differences in violent crime. Between 1994 and 2006, the Health Behaviour in School-aged Children study surveyed 117 nationally representative samples of adolescents about their involvement in school bullying over the previous 2 months. Country prevalence rates of bullying were matched to data on income inequality and homicides. With time and country differences held constant, income inequality positively related to the prevalence of bullying others at least twice (b = 0.25), victimisation by bullying at least twice (b = 0.29) and both bullied and victimisation at least twice (b = 0.40). The relation between income inequality and victimisation was partially mediated by country differences in homicides. Understanding the social determinants of school bullying facilitates anti-bullying policy by identifying groups at risk and exposing its cultural and economic influences. This study found that cross-national differences in income inequality related to the prevalence of school bullying in most age and gender groups due, in part, to a social milieu of interpersonal violence.

Examining the lag time between state-level income inequality and individual disabilities: a multilevel analysis.

PubMed

Gadalla, Tahany M; Fuller-Thomson, Esme

2008-12-01

State-level income inequality has been found to have an effect on individual health outcomes, even when controlled for important individual-level variables such as income, education, age, and gender. The effect of income inequality on health may not be immediate and may, in fact, have a substantial lag time between exposure to inequality and eventual health outcome. We used the 2006 American Community Survey to examine the association of state-level income inequality and 2 types of physical disabilities. We used 6 different lag times, ranging between 0 and 25 years, on the total sample and on those who resided in their state of birth. Income inequality in 1986 had the strongest correlation with 2006 disability levels. Odds ratios were consistently 10% higher for those born in the same state compared with the total population.

Shape of the association between income and mortality: a cohort study of Denmark, Finland, Norway and Sweden in 1995 and 2003

PubMed Central

Mortensen, Laust H; Rehnberg, Johan; Dahl, Espen; Diderichsen, Finn; Elstad, Jon Ivar; Martikainen, Pekka; Rehkopf, David; Tarkiainen, Lasse; Fritzell, Johan

2016-01-01

Objectives Prior work has examined the shape of the income–mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income–mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed. Setting Population-based cohort study of Denmark, Finland, Norway and Sweden. Participants We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years. Results A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries. Conclusions A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time. PMID:28011804

Socioeconomic Inequality and Its Determinants Regarding Infant Mortality in Iran

PubMed Central

Damghanian, Maryam; Shariati, Mohammad; Mirzaiinajmabadi, Khadigeh; Yunesian, Masud; Emamian, Mohammad Hassan

2014-01-01

Background: Infant mortality rate is a useful indicator of health conditions in the society, the racial and socioeconomic inequality of which is from the most important measures of social inequality. Objectives: The aim of this study was to determine the socioeconomic inequality and its determinants regarding infant mortality in an Iranian population. Patients and Methods: This cross-sectional study was performed on 3794 children born during 2010-2011 in Shahroud, Iran. Based on children’s addresses and phone numbers, 3412 were available and finally 3297 participated in the study. A data collection form was filled out through interviewing the mothers as well as using health records. Using principal component analysis, the study population was divided to high and low socioeconomic groups based on the case’s home asset, education and job of the household’s head, marital status, and composition of the household members. Inequality between the groups with regard to infant mortality was investigated by Blinder-Oaxaca decomposition method. Results: The mortality rate was 15.1 per 1000 live births in the high socioeconomic group and 42.3 per 1000 in the low socioeconomic group. Mother's education, consanguinity of parents, and infant's nutrition type and birth weight constituted 44% of the gap contributing factors. Child's gender, high-risk pregnancy, and living area had no impact on the gap. Conclusions: There was considerable socioeconomic inequality regarding infant mortality in Shahroud. Mother's education was the most contributing factor in this inequality. PMID:25068048

Post universal health coverage trend and geographical inequalities of mortality in Thailand.

PubMed

Aungkulanon, Suchunya; Tangcharoensathien, Viroj; Shibuya, Kenji; Bundhamcharoen, Kanitta; Chongsuvivatwong, Virasakdi

2016-11-22

Thailand has achieved remarkable improvement in health status since the achievement of universal health coverage in 2002. Health equity has improved significantly. However, challenges on health inequity still remain.This study aimed to determine the trends of geographical inequalities in disease specific mortality in Thailand after the country achieved universal health coverage. National vital registration data from 2001 to 2014 were used to calculate age-adjusted mortality rate and standardized mortality ratio (SMR). To minimize large variations in mortality across administrative districts, the adjacent districts were systematically grouped into "super-districts" by taking into account the population size and proximity. Geographical mortality inequality among super-districts was measured by the coefficient of variation. Mixed effects modeling was used to test the difference in trends between super-districts. The overall SMR steadily declined from 1.2 in 2001 to 0.9 in 2014. The upper north and upper northeast regions had higher SMR whereas Greater Bangkok achieved the lowest SMR. Decreases in SMR were mostly seen in Greater Bangkok and the upper northern region. Coefficient of variation of SMR rapidly decreased from 20.0 in 2001 to 12.5 in 2007 and remained close to this value until 2014. The mixed effects modelling revealed significant differences in trends of SMR across super-districts. Inequality in mortality declined among adults (≥15 years old) but increased in children (0-14 years old). A declining trend in inequality of mortality was seen in almost all regions except Greater Bangkok where the inequality in SMR remained high throughout the study period. A decline in the adult mortality inequality across almost all regions of Thailand followed universal health coverage. Inequalities in child mortality rates and among residents of Greater Bangkok need further exploration.

Global income-related inequalities in HIV testing.

PubMed

Larose, Auburn; Moore, Spencer; Harper, Sam; Lynch, John

2011-09-01

Voluntary counseling and testing (VCT) is an important prevention initiative in reducing HIV/AIDS transmission. Despite current global prevention efforts, many low- and middle-income countries continue reporting low VCT levels. Little is known about the association of within- and between-country socioeconomic inequalities and VCT. Based on the 'inverse equity hypothesis,' this study examines the degree to which low socioeconomic groups in developing countries are disadvantaged in VCT. Using recently released data from the 2002 to 2003 World Health Survey (WHS) for 106 705 individuals in 49 countries, this study used multilevel logistic regression to examine the association of individual- and national-level factors with VCT, and whether national economic development moderated the association between individual income and VCT. Individual income was based on country-specific income quintiles. National economic development was based on national gross domestic product per capita (GDP/c). Effect modification was evaluated with the likelihood ratio test (G(2)). Individuals eligible for the VCT question of the WHS were adults between the ages of 18-49 years; women who had given birth in the last 2 years were excluded from this question. VCT was more likely among higher income quintiles and in countries with higher GDP/c. GDP/c moderated the association between individual income and VCT whereby relative income differences in VCT were greater in countries with lower GDP/c (G(2)= 9.21; P= 0.002). Individual socio-demographic characteristics were also associated with the likelihood of a person having VCT. Relative socioeconomic inequalities in VCT coverage appear to decline when higher SES groups reach a certain level of coverage. These findings suggest that changes to international VCT programs may be necessary to moderate the relative VCT differences between high- and low-income individuals in lower GDP/c nations.

Who are Your Joneses? Socio-Specific Income Inequality and Trust.

PubMed

Stephany, Fabian

2017-01-01

Trust is a good approach to explain the functioning of markets, institutions or society as a whole. It is a key element in almost every commercial transaction over time and might be one of the main explanations of economic success and development. Trust diminishes the more we perceive others to have economically different living realities. In most of the relevant contributions, scholars have taken a macro perspective on the inequality-trust linkage, with an aggregation of both trust and inequality on a country level. However, patterns of within-country inequality and possibly influential determinants, such as perception and socioeconomic reference, remained undetected. This paper offers the opportunity to look at the interplay between inequality and trust at a more refined level. A measure of (generalized) trust emerges from ESS 5 survey which asks "... generally speaking, would you say that most people can be trusted, or that you can't be too careful in dealing with people? ". With the use of 2009 EU-SILC data, measurements of income inequality are developed for age-specific groups of society in 22 countries. A sizable variation in inequality measures can be noticed. Even in low inequality countries, like Sweden, income imbalances within certain age groups have the potential to undermine social trust.

Impact of Income Inequality and Other Social Determinants on Suicide Rate in Brazil

PubMed Central

Machado, Daiane Borges; Rasella, Davide; dos Santos, Darci Neves

2015-01-01

Studies about suicide worldwide have mainly focused on individual-level psychiatric risk factors. In Brazil, suicide is an important public health problem. Brazil has evidenced important socioeconomic changes over the last decades, leading to decreasing income inequality. However, the impact of income inequality on suicide rate has never been studied in the country. Purpose To analyze whether income inequality and other social determinants are associated with suicide rate in Brazil. Method This study used panel data from all 5,507 Brazilian municipalities from 2000 to 2011. Suicide rates were calculated by sex and standardized by age for each municipality and year. The independent variables of the regression model included the Gini Index, per capita income, percentage of individuals with up to eight years of education, urbanization, average number of residents per household, percentage of divorced people, of Catholics, Pentecostals, and Evangelicals. A multivariable negative binomial regression for panel data with fixed-effects specification was performed. Results The Gini index was positively associated with suicide rates; the rate ratio (RR) was 1.055 (95% CI: 1.011–1.101). Of the other social determinants, income had a significant negative association with suicide rates (RR: 0.968, 95% CI: 0.948–0.988), whereas a low-level education had a positive association (RR: 1.015, 95% CI: 1.010–1.021). Conclusions Income inequality represents a community-level risk factor for suicide rates in Brazil. The decrease in income inequality, increase in income per capita, and decrease in the percentage of individuals who did not complete basic studies may have counteracted the increase in suicides in the last decade. Other changes, such as the decrease in the mean residents per household, may have contributed to their increase. Therefore, the implementation of social policies that may improve the population’s socioeconomic conditions and reduce income inequality in

Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992-2003.

PubMed

Puigpinós, Rosa; Borrell, Carme; Antunes, José Leopoldo Ferreira; Azlor, Enric; Pasarín, M Isabel; Serral, Gemma; Pons-Vigués, Mariona; Rodríguez-Sanz, Maica; Fernández, Esteve

2009-01-23

The objective of this study was to assess trends in cancer mortality by educational level in Barcelona from 1992 to 2003. The study population comprised Barcelona inhabitants aged 20 years or older. Data on cancer deaths were supplied by the system of information on mortality. Educational level was obtained from the municipal census. Age-standardized rates by educational level were calculated. We also fitted Poisson regression models to estimate the relative index of inequality (RII) and the Slope Index of Inequalities (SII). All were calculated for each sex and period (1992-1994, 1995-1997, 1998-2000, and 2001-2003). Cancer mortality was higher in men and women with lower educational level throughout the study period. Less-schooled men had higher mortality by stomach, mouth and pharynx, oesophagus, larynx and lung cancer. In women, there were educational inequalities for cervix uteri, liver and colon cancer. Inequalities of overall and specific types of cancer mortality remained stable in Barcelona; although a slight reduction was observed for some cancers. This study has identified those cancer types presenting the greatest inequalities between men and women in recent years and shown that in Barcelona there is a stable trend in inequalities in the burden of cancer.

Trends in inequalities in premature cancer mortality by educational level in Colombia, 1998-2007.

PubMed

de Vries, Esther; Arroyave, Ivan; Pardo, Constanza; Wiesner, Carolina; Murillo, Raul; Forman, David; Burdorf, Alex; Avendaño, Mauricio

2015-05-01

There is a paucity of studies on socioeconomic inequalities in cancer mortality in developing countries. We examined trends in inequalities in cancer mortality by educational attainment in Colombia during a period of epidemiological transition and rapid expansion of health insurance coverage. Population mortality data (1998-2007) were linked to census data to obtain age-standardised cancer mortality rates by educational attainment at ages 25-64 years for stomach, cervical, prostate, lung, colorectal, breast and other cancers. We used Poisson regression to model mortality by educational attainment and estimated the contribution of specific cancers to the slope index of inequality in cancer mortality. We observed large educational inequalities in cancer mortality, particularly for cancer of the cervix (rate ratio (RR) primary vs tertiary groups=5.75, contributing 51% of cancer inequalities), stomach (RR=2.56 for males, contributing 49% of total cancer inequalities and RR=1.98 for females, contributing 14% to total cancer inequalities) and lung (RR=1.64 for males contributing 17% of total cancer inequalities and 1.32 for females contributing 5% to total cancer inequalities). Total cancer mortality rates declined faster among those with higher education, with the exception of mortality from cervical cancer, which declined more rapidly in the lower educational groups. There are large socioeconomic inequalities in preventable cancer mortality in Colombia, which underscore the need for intensifying prevention efforts. Reduction of cervical cancer can be achieved through reducing human papilloma virus infection, early detection and improved access to treatment of preneoplastic lesions. Reinforcing antitobacco measures may be particularly important to curb inequalities in cancer mortality. 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.

Is the relative increase in income inequality related to tooth loss in middle-aged adults?

PubMed

Goulart, Mariél de Aquino; Vettore, Mario Vianna

2016-01-01

To assess whether Brazilian middle-aged adults living in cities that experienced a relative increase on income inequality were more likely to have severe tooth loss and lack a functional dentition. Data on Brazilian adults aged 35-44 years from state capitals and Federal District from the 2010 Brazilian Oral Health Survey (SBBrasil 2010) were analyzed. Clinically assessed tooth loss outcomes were severe tooth loss (<9 remaining natural teeth) and lack of functional dentition (<21 natural teeth). Income inequality was assessed by Gini Index in 1991, 2000, and 2003 using tertiles of distribution. Variation in Gini Index was assessed by changes in the tertiles distribution between years. Multilevel logistic regression models were used to estimate odds ratios (ORs) and 95 percent confidence intervals (95 percent CI) between variation in income inequality and tooth loss outcomes adjusting for individual socio-demographic characteristics. Prevalence of severe tooth loss and lack of functional dentition was 4.8 percent and 21.2 percent, respectively. Individuals living in cities with moderate and high increase in income inequality between 1991 and 2003 were more likely to have severe tooth loss and lack a functional dentition in 2010 compared with those living in cities with stable income inequality in the same period. Relationships between low family income and both tooth loss outcomes were significantly attenuated by relative increases in income inequality. Relative increases in income inequality were significantly associated with severe tooth loss and lack of a functional dentition in Brazilian middle-aged adults. © 2015 American Association of Public Health Dentistry.

Trends in inequalities in premature cancer mortality by educational level in Colombia, 1998–2007

PubMed Central

de Vries, Esther; Arroyave, Ivan; Pardo, Constanza; Wiesner, Carolina; Murillo, Raul; Forman, David; Burdorf, Alex; Avendaño, Mauricio

2015-01-01

Background There is paucity of studies on socioeconomic inequalities in cancer mortality in developing countries. We examined trends in inequalities in cancer mortality by educational attainment in Colombia during a period of epidemiological transition and a rapid expansion of health insurance coverage. Methods Population mortality data (1998–2007) were linked to census data to obtain age-standardised cancer mortality rates by educational attainment at ages 25–64 years for stomach, cervical, prostate, lung, colorectal, breast and other cancers. We used Poisson regression to model mortality by educational attainment and estimated the contribution of specific cancers to the Slope Index of Inequality in cancer mortality. Results We observed large educational inequalities in cancer mortality, particularly for cancer of the cervix (RR primary versus tertiary groups=5.75, contributing 51% of cancer inequalities), stomach (RR=2.56 for males, contributing 49% of total cancer inequalities, and RR=1.98 for females, contributing 14% to total cancer inequalities), and lung (RR=1.64 for males contributing 17% of total cancer inequalities, and 1.32 for females contributing 5% to total cancer inequalities). Total cancer mortality rates declined faster among those with higher education, with the exception of mortality from cervical cancer, which declined more rapidly in the lower educational groups. Conclusion There are large socioeconomic inequalities in preventable cancer mortality in Colombia, which underscore the need for intensifying prevention efforts. Reducing cervical cancer through reducing HPV infection, early detection and improved access to treatment of preneoplasic lesions. Reinforcing anti-tobacco measures may be particularly important to curb inequalities in cancer mortality. PMID:25492898

The effect of private tubewells on income and income inequality in rural Pakistan

NASA Astrophysics Data System (ADS)

Wang, Zhiyu; Huang, Qiuqiong; Giordano, Mark

2015-08-01

Since the introduction of private tubewells in rural Pakistan, farmers have increasingly used groundwater to supplement canal water for irrigation and improve the reliability of the water supply. Farmers obtain groundwater either from their own tubewells or from other well owners. This paper examines the effect of private tubewells on rural income, both in terms of income level and income distribution since it may differ across farmers with different irrigation status (only canal water, canal water and groundwater from own tubewell, and canal water and purchased groundwater). The results show that private tubewells work to enhance rural income and reduce income inequality in rural Pakistan.

Racial Inequality Trends and the Intergenerational Persistence of Income and Family Structure

PubMed Central

Bloome, Deirdre

2015-01-01

Racial disparity in family incomes remained remarkably stable over the past 40 years in the United States despite major legal and social reforms. Previous scholarship presents two primary explanations for persistent inequality through a period of progressive change. One highlights continuity: because socioeconomic status is transmitted from parents to children, disparities created through histories of discrimination and opportunity denial may dissipate slowly. The second highlights change: because family income results from joining individual earnings in family units, changing family compositions can offset individuals’ changing economic chances. I examine whether black-white family income inequality trends are better characterized by the persistence of existing disadvantage (continuity) or shifting forms of disadvantage (change). I combine cross-sectional and panel analysis using Current Population Survey, Panel Study of Income Dynamics, Census, and National Vital Statistics data. Results suggest that African Americans experience relatively extreme intergenerational continuity (low upward mobility) and discontinuity (high downward mobility); both helped maintain racial inequality. Yet, intergenerational discontinuities allow new forms of disadvantage to emerge. On net, racial inequality trends are better characterized by changing forms of disadvantage than by continuity. Economic trends were equalizing but demographic trends were disequalizing; as family structures shifted, family incomes did not fully reflect labor-market gains. PMID:26456973

Wealth inequality and health: a political economy perspective.

PubMed

Nowatzki, Nadine R

2012-01-01

Despite a plethora of studies on income inequality and health, researchers have been unable to make any firm conclusions as a result of methodological and theoretical limitations. Within this body of research, there has been a call for studies of wealth inequality and health. Wealth is far more unequally distributed than income and is conceptually unique from income. This paper discusses the results of bivariate cross-sectional analyses of the relationship between wealth inequality (Gini coefficient) and population health (life expectancy and infant mortality) in 14 wealthy countries. The results confirm that wealth inequality is associated with poor population health. Both unweighted and weighted correlations between wealth inequality and health are strong and significant, even after controlling for a variety of potential aggregate-level confounders, including gross domestic product per capita, and after excluding the United States, the most unequal country. The results are strongest for female life expectancy and infant mortality. The author outlines potential pathways through which wealth inequality might affect health, using specific countries to illustrate. The article concludes with policy recommendations that could contribute to a more equitable distribution of wealth and, ultimately, decreased health disparities.

Dental care coverage and income-related inequalities in foregone dental care in Europe during the great recession.

PubMed

Elstad, Jon Ivar

2017-08-01

This study examines income inequalities in foregone dental care in 23 European countries during the years with global economic crisis. Associations between dental care coverage from public health budgets or social insurance, and income-related inequalities in perceived access to dental care, are analysed. Survey data 2008-2013 from 23 countries were combined with country data on macro-economic conditions and coverage for dental care. Foregone dental care was defined as self-reported abstentions from needed dental care because of costs or other crisis-related reasons. Age-standardized percentages reporting foregone dental care were estimated for respondents, age 20-74, in the lowest and highest income quartile. Associations between dental care coverage and income inequalities in foregone dental care, adjusted for macro-economic indicators, were examined by country-level regression models. In all 23 countries, respondents in the lowest income quartile reported significantly higher levels of foregone dental care than respondents in the highest quartile. During 2008-2013, income inequalities in foregone dental care widened significantly in 13 of 23 countries, but decreased in only three countries. Adjusted for countries' macro-economic situation and severity of the economic crisis, higher dental care coverage was significantly associated with smaller income inequalities in foregone dental care and less widening of these inequalities. Income-related inequalities in dental care have widened in Europe during the years with global economic crisis. Higher dental care coverage corresponded to less income-related inequalities in foregone dental care and less widening of these inequalities. © 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

The ethical and policy implications of research on income inequality and child well-being.

PubMed

Pickett, Kate E; Wilkinson, Richard G

2015-03-01

Child well-being is important for lifelong health and well-being. Although there is a robust evidence base linking social determinants of health (eg, relative poverty and income inequality) to child well-being, social and public health policy tends to focus on interventions to mitigate their effects, rather than remove the root causes. The goal of this study was to examine associations between child well-being and income inequality. We compared reported rates of childhood well-being in the 2007 and 2013 UNICEF reports on child well-being in wealthy countries. Twenty indicators of child well-being (excluding child poverty) were defined consistently in both the 2007 and 2013 reports. These variables were used to create an indicator of change in child well-being over the approximate decade 2000 to 2010. For our analyses of income inequality, we used the Organization for Economic Cooperation and Development Gini coefficient of income inequality for 2009 and change between 2000 and 2009, respectively. The overall index of child well-being in 2013 was closely and negatively correlated with income inequality (r = -0.60, P = .004) but not with average income (r = -0.3460, P = .12). Adjustment for income inequality, children in relative poverty, and the child poverty gap did not change the lack of association between average income and child well-being in 2013 in wealthy countries. Between 2000 and 2010, child well-being scores improved most in Italy, Norway, Portugal, the United Kingdom, and Germany. The biggest declines were seen in Sweden, Canada, Japan, Switzerland, and France. Countries that experienced the largest increases in income inequality had significantly greater declines in child well-being (r = -0.51, P = .02). Children born into socioeconomically disadvantaged families suffer worse child well-being and its lifelong implications, in all societies, worldwide. Our analyses show, however, that some wealthy societies are able to mitigate these inequalities; these

Income Inequality and Its Consequences for Life Satisfaction: What Role Do Social Cognitions Play?

ERIC Educational Resources Information Center

Schneider, Simone M.

2012-01-01

While it is generally agreed that income inequality affects an individual's well-being, researchers disagree on whether people living in areas of high income disparity report more or less happiness than those in more equal environments, thereby indicating the need to study how and why income inequality matters to the individual's well-being.…

Income, Wealth and Health Inequalities — A Scottish Social Justice Perspective

PubMed Central

Molony, Elspeth; Duncan, Christine

2016-01-01

This paper considers health inequalities through a social justice perspective. The authors draw on a variety of existing sources of evidence, including experiential, scientific and contextual knowledge. The authors work with NHS Health Scotland, a national Health Board working to reduce health inequalities and improve health. Working closely with the Scottish Government and with a variety of stakeholders across different sectors, NHS Health Scotland's vision for a fairer, healthier Scotland is founded on the principles of social justice. The paper takes social justice as the starting point and explores what it means for two interlinked paradigms of social injustice—health inequality and income inequality. Utilising the wealth of evidence synthesised by NHS Health Scotland as well as drawing on the writings and evidence of philosophers, epidemiologists, the Scottish Government and international bodies, the authors explore the links between income and wealth inequality, social justice, the right to health and health inequalities. The paper ends by considering the extent to which there is appetite for social change in Scotland by considering the attitudes of the people of Scotland and of Britain to poverty, inequality and welfare. PMID:29546160

Rising inequalities in income and health in China: Who is left behind?

PubMed Central

Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

2013-01-01

In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991–2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. PMID:24189450

Shape of the association between income and mortality: a cohort study of Denmark, Finland, Norway and Sweden in 1995 and 2003.

PubMed

Mortensen, Laust H; Rehnberg, Johan; Dahl, Espen; Diderichsen, Finn; Elstad, Jon Ivar; Martikainen, Pekka; Rehkopf, David; Tarkiainen, Lasse; Fritzell, Johan

2016-12-23

Prior work has examined the shape of the income-mortality association, but work has not compared gradients between countries. In this study, we focus on changes over time in the shape of income-mortality gradients for 4 Nordic countries during a period of rising income inequality. Context and time differentials in shape imply that the relationship between income and mortality is not fixed. Population-based cohort study of Denmark, Finland, Norway and Sweden. We collected data on individuals aged 25 or more in 1995 (n=12.98 million individuals, 0.84 million deaths) and 2003 (n=13.08 million individuals, 0.90 million deaths). We then examined the household size equivalised disposable income at the baseline year in relation to the rate of mortality in the following 5 years. A steep income gradient in mortality in men and women across all age groups except the oldest old in Denmark, Finland, Norway and Sweden. From the 1990s to 2000s mortality dropped, but generally more so in the upper part of the income distribution than in the lower part. As a consequence, the shape of the income gradient in mortality changed. The shift in the shape of the association was similar in all 4 countries. A non-linear gradient exists between income and mortality in most cases and because of a more rapid mortality decline among those with high income the income gradient has become steeper over time. 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/.

Gender bias in under-five mortality in low/middle-income countries.

PubMed

Costa, Janaína Calu; da Silva, Inacio Crochemore Mohnsam; Victora, Cesar Gomes

2017-01-01

Due to biological reasons, boys are more likely to die than girls. The detection of gender bias requires knowing the expected relation between male and female mortality rates at different levels of overall mortality, in the absence of discrimination. Our objective was to compare two approaches aimed at assessing excess female under-five mortality rate (U5MR) in low/middle-income countries. We compared the two approaches using data from 60 Demographic and Health Surveys (2005-2014). The prescriptive approach compares observed mortality rates with historical patterns in Western societies where gender discrimination was assumed to be low or absent. The descriptive approach is derived from global estimates of all countries with available data, including those affected by gender bias. The prescriptive approach showed significant excess female U5MR in 20 countries, compared with only one country according to the descriptive approach. Nevertheless, both models showed similar country rankings. The 13 countries with the highest and the 10 countries with the lowest rankings were the same according to both approaches. Differences in excess female mortality among world regions were significant, but not among country income groups. Both methods are useful for monitoring time trends, detecting gender-based inequalities and identifying and addressing its causes. The prescriptive approach seems to be more sensitive in the identification of gender bias, but needs to be updated using data from populations with current-day structures of causes of death.

The Kids are All Right? Income Inequality and Civic Engagement among Our Nation's Youth.

PubMed

Godfrey, Erin B; Cherng, Hua-Yu Sebastian

2016-11-01

Prior work suggests that income inequality depresses civic participation among adults. However, associations between income inequality and youth civic engagement have not been assessed. This is true despite evidence that other features of communities influence youth civic development. To fill the gap, we examine associations between county-level income inequality and civic engagement among a nationally representative sample of 12,240 15-year-olds (50 % female). We find opposite patterns than those suggested by the adult literature. Higher county-level income inequality is associated with slightly more civic engagement (greater importance of helping others, higher rates of volunteering often), and this is particularly true for low-socioeconomic status and racial/ethnic minority youth. Potential developmental and structural explanations for these differences are offered. In addition, practical implications of these findings are drawn, and future research directions for scholars studying youth are proposed.

Democracy and growth in divided societies: A health-inequality trap?

PubMed

Powell-Jackson, Timothy; Basu, Sanjay; Balabanova, Dina; McKee, Martin; Stuckler, David

2011-07-01

Despite a tremendous increase in financial resources, many countries are not on track to achieve the child and maternal mortality targets set out in the Millennium Development Goals 4 and 5. It is commonly argued that two main social factors - improved democratic governance and aggregate income - will ultimately lead to progress in reducing child and maternal mortality. However, these two factors alone may be insufficient to achieve progress in settings where there is a high level of social division. To test the effects of growth and democratisation, and their interaction with social inequalities, we regressed data on child and maternal mortality rates for 192 countries against internationally used indexes of income, democracy, and population inequality (including income, ethnic, linguistic, and religious divisions) covering the period 1970-2007. We found that a higher degree of social division, especially ethnic and linguistic fractionalisation, was significantly associated with greater child and maternal mortality rates. We further found that, even in democratic states, greater social division was associated with lower overall population access to healthcare and lesser expansion of health system infrastructure. Perversely, while greater democratisation and aggregate income were associated with reduced maternal and child mortality overall, in regions with high levels of ethnic fragmentation the health benefits of democratisation and rising income were undermined and, at high levels of inequality reversed, so that democracy and growth were adversely related to child and maternal mortality. These findings are consistent with literature suggesting that high degrees of social division in the context of democratisation can strengthen the power of dominant elite and ethnic groups in political decision-making, resulting in health and welfare policies that deprive minority groups (a health-inequality trap). Thus, we show that improving economic growth and democratic

Changes in contribution of causes of death to socioeconomic mortality inequalities in Korean adults.

PubMed

Jung-Choi, Kyunghee; Khang, Young Ho; Cho, Hong Jun

2011-11-01

This study aimed to analyze long-term trends in the contribution of each cause of death to socioeconomic inequalities in all-cause mortality among Korean adults. Data were collected from death certificates between 1990 and 2004 and from censuses in 1990, 1995, and 2000. Age-standardized death rates by gender were produced according to education as the socioeconomic position indicator, and the slope index of inequality was calculated to evaluate the contribution of each cause of death to socioeconomic inequalities in all-cause mortality. Among adults aged 25-44, accidental injuries with transport accidents, suicide, liver disease and cerebrovascular disease made relatively large contributions to socioeconomic inequalities in all-cause mortality, while, among adults aged 45-64, liver disease, cerebrovascular disease, transport accidents, liver cancer, and lung cancer did so. Ischemic heart disease, a very important contributor to socioeconomic mortality inequality in North America and Western Europe, showed a very low contribution (less than 3%) in both genders of Koreans. Considering the contributions of different causes of death to absolute mortality inequalities, establishing effective strategies to reduce socioeconomic inequalities in mortality is warranted.

[Social inequalities in the mortality due to cardiovascular diseases in Italy].

PubMed

Costa, G; Cadum, E; Faggiano, F; Cardano, M; Demaria, M

1999-06-01

Social inequalities in cardiovascular disease mortality are described in this paper focusing on the results of the Studio Longitudinale Torinese (SLT), an investigation that links census data with the statistical data that are currently available. The overall results confirm that cardiovascular disease mortality is higher in less-advantaged socioeconomic groups, irrespectively of the social indicator used: education, social class, housing quality, job security. Stratified data shows less important inequalities among ischemic heart disease as compared to cerebrovascular mortality. The differences are even more complex when the age groups in the two genders are analyzed, revealing cohort effects. Overall, the results agree with the previous survey carried out by ISTAT on 1981 Italian mortality, which confirmed the variations in inequalities according to geographical areas, gender and age. Differences in access to the health system are likely to be related to the differences detected for geographical areas, while differences in personal history and attitude towards health-associated behavior should explain age and gender variations in inequalities. Equity must be included in the evaluation of preventive programs and health-care models. Epidemiological and social research should be encouraged to better understand the factors that influence inequalities in cardiovascular disease mortality and in the health status of the population at large.

Widening socioeconomic inequalities in mortality in six Western European countries.

PubMed

Mackenbach, Johan P; Bos, Vivian; Andersen, Otto; Cardano, Mario; Costa, Giuseppe; Harding, Seeromanie; Reid, Alison; Hemström, Orjan; Valkonen, Tapani; Kunst, Anton E

2003-10-01

During the past decades a widening of the relative gap in death rates between upper and lower socioeconomic groups has been reported for several European countries. Although differential mortality decline for cardiovascular diseases has been suggested as an important contributory factor, it is not known what its quantitative contribution was, and to what extent other causes of death have contributed to the widening gap in total mortality. We collected data on mortality by educational level and occupational class among men and women from national longitudinal studies in Finland, Sweden, Norway, Denmark, England/Wales, and Italy (Turin), and analysed age-standardized death rates in two recent time periods (1981-1985 and 1991-1995), both total mortality and by cause of death. For simplicity, we report on inequalities in mortality between two broad socioeconomic groups (high and low educational level, non-manual and manual occupations). Relative inequalities in total mortality have increased in all six countries, but absolute differences in total mortality were fairly stable, with the exception of Finland where an increase occurred. In most countries, mortality from cardiovascular diseases declined proportionally faster in the upper socioeconomic groups. The exception is Italy (Turin) where the reverse occurred. In all countries with the exception of Italy (Turin), changes in cardiovascular disease mortality contributed about half of the widening relative gap for total mortality. Other causes also made important contributions to the widening gap in total mortality. For these causes, widening inequalities were sometimes due to increasing mortality rates in the lower socioeconomic groups. We found rising rates of mortality from lung cancer, breast cancer, respiratory disease, gastrointestinal disease, and injuries among men and/or women in lower socioeconomic groups in several countries. Reducing socioeconomic inequalities in mortality in Western Europe critically

Outward migration may alter population dynamics and income inequality

NASA Astrophysics Data System (ADS)

Shayegh, Soheil

2017-11-01

Climate change impacts may drive affected populations to migrate. However, migration decisions in response to climate change could have broader effects on population dynamics in affected regions. Here, I model the effect of climate change on fertility rates, income inequality, and human capital accumulation in developing countries, focusing on the instrumental role of migration as a key adaptation mechanism. In particular, I investigate how climate-induced migration in developing countries will affect those who do not migrate. I find that holding all else constant, climate change raises the return on acquiring skills, because skilled individuals have greater migration opportunities than unskilled individuals. In response to this change in incentives, parents may choose to invest more in education and have fewer children. This may ultimately reduce local income inequality, partially offsetting some of the damages of climate change for low-income individuals who do not migrate.

Does Expanding Higher Education Reduce Income Inequality in Emerging Economy? Evidence from Pakistan

ERIC Educational Resources Information Center

Qazi, Wasim; Raza, Syed Ali; Jawaid, Syed Tehseen; Karim, Mohd Zaini Abd

2018-01-01

This study investigates the impact of development in the higher education sector, on the Income Inequality in Pakistan, by using the annual time series data from 1973 to 2012. The autoregressive distributed lag bound testing co-integration approach confirms the existence of long-run relationship between higher education and income inequality.…

Digital Inequality and Developmental Trajectories of Low-income, Immigrant, and Minority Children.

PubMed

Katz, Vikki S; Gonzalez, Carmen; Clark, Kevin

2017-11-01

Children growing up in the United States today are more ethnically and racially diverse than at any time in the nation's history. Because of rising income inequality, almost half of the 72 million children in the United States are also growing up in low-income families, with immigrant and children of color disproportionately likely to be within their ranks. Children in low-income households are more likely to face a number of social challenges, including constrained access to the Internet and devices that connect to it (ie, digital inequality), which can exacerbate other, more entrenched disparities between them and their more privileged counterparts. Although the American Academy of Pediatrics' new guidelines encourage clinicians to reduce children's overexposure to technology, we argue for a more nuanced approach that also considers how digital inequality can reduce low-income children's access to a range of social opportunities. We review previous research on how digital inequality affects children's learning and development and identify areas where more research is needed on how digital inequality relates to specific aspects of children's developmental trajectories, and to identify what interventions at the family, school, and community levels can mitigate the adverse effects of digital inequality as children move through their formal schooling. On the basis of the evidence to date, we conclude with guidelines for clinicians related to supporting digital connectivity and more equitable access to social opportunity for the increasingly diverse population of children growing up in the United States. Copyright © 2017 by the American Academy of Pediatrics.

Educational Inequalities in Post-Hip Fracture Mortality: A NOREPOS Study.

PubMed

Omsland, Tone K; Eisman, John A; Naess, Øyvind; Center, Jacqueline R; Gjesdal, Clara G; Tell, Grethe S; Emaus, Nina; Meyer, Haakon E; Søgaard, Anne Johanne; Holvik, Kristin; Schei, Berit; Forsmo, Siri; Magnus, Jeanette H

2015-12-01

Hip fractures are associated with high excess mortality. Education is an important determinant of health, but little is known about educational inequalities in post-hip fracture mortality. Our objective was to investigate educational inequalities in post-hip fracture mortality and to examine whether comorbidity or family composition could explain any association. We conducted a register-based population study of Norwegians aged 50 years and older from 2002 to 2010. We measured total mortality according to educational attainment in 56,269 hip fracture patients (NORHip) and in the general Norwegian population. Both absolute and relative educational inequalities in mortality in people with and without hip fracture were compared. There was an educational gradient in post-hip fracture mortality in both sexes. Compared with those with primary education only, the age-adjusted relative risk (RR) of mortality in hip fracture patients with tertiary education was 0.82 (95% confidence interval [CI] 0.77-0.87) in men and 0.79 (95% CI 0.75-0.84) in women. Additional adjustments for Charlson comorbidity index, marital status, and number of children did not materially change the estimates. Regardless of educational attainment, the 1-year age-adjusted mortality was three- to fivefold higher in hip fracture patients compared with peers in the general population without fracture. The absolute differences in 1-year mortality according to educational attainment were considerably larger in hip fracture patients than in the population without hip fracture. Absolute educational inequalities in mortality were higher after hip fracture compared with the general population without hip fracture and were not mediated by comorbidity or family composition. Investigation of other possible mediating factors might help to identify new targets for interventions, based on lower educational attainment, to reduce post-hip fracture mortality. © 2015 American Society for Bone and Mineral Research.

Socioeconomic inequalities in cause-specific mortality in 15 European cities.

PubMed

Marí-Dell'Olmo, Marc; Gotsens, Mercè; Palència, Laia; Burström, Bo; Corman, Diana; Costa, Giuseppe; Deboosere, Patrick; Díez, Èlia; Domínguez-Berjón, Felicitas; Dzúrová, Dagmar; Gandarillas, Ana; Hoffmann, Rasmus; Kovács, Katalin; Martikainen, Pekka; Demaria, Moreno; Pikhart, Hynek; Rodríguez-Sanz, Maica; Saez, Marc; Santana, Paula; Schwierz, Cornelia; Tarkiainen, Lasse; Borrell, Carme

2015-05-01

Socioeconomic inequalities are increasingly recognised as an important public health issue, although their role in the leading causes of mortality in urban areas in Europe has not been fully evaluated. In this study, we used data from the INEQ-CITIES study to analyse inequalities in cause-specific mortality in 15 European cities at the beginning of the 21st century. A cross-sectional ecological study was carried out to analyse 9 of the leading specific causes of death in small areas from 15 European cities. Using a hierarchical Bayesian spatial model, we estimated smoothed Standardized Mortality Ratios, relative risks and 95% credible intervals for cause-specific mortality in relation to a socioeconomic deprivation index, separately for men and women. We detected spatial socioeconomic inequalities for most causes of mortality studied, although these inequalities differed markedly between cities, being more pronounced in Northern and Central-Eastern Europe. In the majority of cities, most of these causes of death were positively associated with deprivation among men, with the exception of prostatic cancer. Among women, diabetes, ischaemic heart disease, chronic liver diseases and respiratory diseases were also positively associated with deprivation in most cities. Lung cancer mortality was positively associated with deprivation in Northern European cities and in Kosice, but this association was non-existent or even negative in Southern European cities. Finally, breast cancer risk was inversely associated with deprivation in three Southern European cities. The results confirm the existence of socioeconomic inequalities in many of the main causes of mortality, and reveal variations in their magnitude between different European cities. 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.

Rising inequalities in income and health in China: who is left behind?

PubMed

Baeten, Steef; Van Ourti, Tom; van Doorslaer, Eddy

2013-12-01

In recent decades, China has experienced double-digit economic growth rates and rising inequality. This paper implements a new decomposition approach using the China Health and Nutrition Survey (1991-2006) to examine the extent to which changes in level and distribution of incomes and in income mobility are related to health disparities between rich and poor. We find that health disparities in China relate to rising income inequality and in particular to the adverse health and income experience of older (wo)men, but not to the growth rate of average incomes over the last decades. These findings suggest that replacement incomes and pensions at older ages may be one of the most important policy levers for reducing health disparities between rich and poor Chinese. Copyright © 2013 Elsevier B.V. All rights reserved.

Trends in socioeconomic inequalities in cancer mortality in Barcelona: 1992–2003

PubMed Central

Puigpinós, Rosa; Borrell, Carme; Antunes, José Leopoldo Ferreira; Azlor, Enric; Pasarín, M Isabel; Serral, Gemma; Pons-Vigués, Mariona; Rodríguez-Sanz, Maica; Fernández, Esteve

2009-01-01

Background The objective of this study was to assess trends in cancer mortality by educational level in Barcelona from 1992 to 2003. Methods The study population comprised Barcelona inhabitants aged 20 years or older. Data on cancer deaths were supplied by the system of information on mortality. Educational level was obtained from the municipal census. Age-standardized rates by educational level were calculated. We also fitted Poisson regression models to estimate the relative index of inequality (RII) and the Slope Index of Inequalities (SII). All were calculated for each sex and period (1992–1994, 1995–1997, 1998–2000, and 2001–2003). Results Cancer mortality was higher in men and women with lower educational level throughout the study period. Less-schooled men had higher mortality by stomach, mouth and pharynx, oesophagus, larynx and lung cancer. In women, there were educational inequalities for cervix uteri, liver and colon cancer. Inequalities of overall and specific types of cancer mortality remained stable in Barcelona; although a slight reduction was observed for some cancers. Conclusion This study has identified those cancer types presenting the greatest inequalities between men and women in recent years and shown that in Barcelona there is a stable trend in inequalities in the burden of cancer. PMID:19166582

Tackling socioeconomic inequalities and non-communicable diseases in low-income and middle-income countries under the Sustainable Development agenda.

PubMed

Niessen, Louis W; Mohan, Diwakar; Akuoku, Jonathan K; Mirelman, Andrew J; Ahmed, Sayem; Koehlmoos, Tracey P; Trujillo, Antonio; Khan, Jahangir; Peters, David H

2018-05-19

Five Sustainable Development Goals (SDGs) set targets that relate to the reduction of health inequalities nationally and worldwide. These targets are poverty reduction, health and wellbeing for all, equitable education, gender equality, and reduction of inequalities within and between countries. The interaction between inequalities and health is complex: better economic and educational outcomes for households enhance health, low socioeconomic status leads to chronic ill health, and non-communicable diseases (NCDs) reduce income status of households. NCDs account for most causes of early death and disability worldwide, so it is alarming that strong scientific evidence suggests an increase in the clustering of non-communicable conditions with low socioeconomic status in low-income and middle-income countries since 2000, as previously seen in high-income settings. These conditions include tobacco use, obesity, hypertension, cancer, and diabetes. Strong evidence from 283 studies overwhelmingly supports a positive association between low-income, low socioeconomic status, or low educational status and NCDs. The associations have been differentiated by sex in only four studies. Health is a key driver in the SDGs, and reduction of health inequalities and NCDs should become key in the promotion of the overall SDG agenda. A sustained reduction of general inequalities in income status, education, and gender within and between countries would enhance worldwide equality in health. To end poverty through elimination of its causes, NCD programmes should be included in the development agenda. National programmes should mitigate social and health shocks to protect the poor from events that worsen their frail socioeconomic condition and health status. Programmes related to universal health coverage of NCDs should specifically target susceptible populations, such as elderly people, who are most at risk. Growing inequalities in access to resources for prevention and treatment need to

Inequality in child mortality across different states of India: a comparative study.

PubMed

De, Partha; Dhar, Arpita

2013-12-01

The burden of social inequality falls disproportionately on child health and survival. This inequality raises the question of how wide this gap is, or what its relation is with the level of child mortality. Whether these disparities are increasing or declining with the development and how they differ from region to region or from state to state within the country needs to be looked into. As a measure of inequality and to compare the disparities between different states of India, concentration curves and indices are constructed from infant and under five mortality data classified under different quintiles of wealth index from the National Family Health Survey (NFHS-3) data of India. Inequality measures indicate that inequality in child mortality is more concentrated in the comparatively developed states than the poorer states in India.

Mobility and volatility: What is behind the rising income inequality in the United States

NASA Astrophysics Data System (ADS)

Wu, Huixuan; Li, Yao

2018-02-01

Inequality of family incomes in the United States has increased significantly in the past four decades. This is largely interpreted as a result of unequal mobility, e.g., the rich can get richer at a faster pace than the rest of the population. However, using nationally representative data and the Fokker-Planck equation, our study shows that income mobility in the United States has remained stable. Instead, we find another factor - income volatility, which measures the instability of incomes - has increased considerably and caused the surge of income inequality. In addition, the rising volatility is associated with the plummeting of income-growth opportunity, creating the feeling that the American Dream is in decline. Volatility has often been overlooked in previous studies on inequality, partially because mobility and volatility are usually studied separately. By contrast, the Fokker-Planck equation takes both mobility and volatility into consideration, making it a more comprehensive model.

Income inequality and status seeking: searching for positional goods in unequal U.S. States.

PubMed

Walasek, Lukasz; Brown, Gordon D A

2015-04-01

It is well established that income inequality is associated with lower societal well-being, but the psychosocial causes of this relationship are poorly understood. A social-rank hypothesis predicts that members of unequal societies are likely to devote more of their resources to status-seeking behaviors such as acquiring positional goods. We used Google Correlate to find search terms that correlated with our measure of income inequality, and we controlled for income and other socioeconomic factors. We found that of the 40 search terms used more frequently in states with greater income inequality, more than 70% were classified as referring to status goods (e.g., designer brands, expensive jewelry, and luxury clothing). In contrast, 0% of the 40 search terms used more frequently in states with less income inequality were classified as referring to status goods. Finally, we showed how residual-based analysis offers a new methodology for using Google Correlate to provide insights into societal attitudes and motivations while avoiding confounds and high risks of spurious correlations. © The Author(s) 2015.

Socioeconomic inequalities in risk factors for non communicable diseases in low-income and middle-income countries: results from the World Health Survey

PubMed Central

2012-01-01

Background Monitoring inequalities in non communicable disease risk factor prevalence can help to inform and target effective interventions. The prevalence of current daily smoking, low fruit and vegetable consumption, physical inactivity, and heavy episodic alcohol drinking were quantified and compared across wealth and education levels in low- and middle-income country groups. Methods This study included self-reported data from 232,056 adult participants in 48 countries, derived from the 2002–2004 World Health Survey. Data were stratified by sex and low- or middle-income country status. The main outcome measurements were risk factor prevalence rates reported by wealth quintile and five levels of educational attainment. Socioeconomic inequalities were measured using the slope index of inequality, reflecting differences in prevalence rates, and the relative index of inequality, reflecting the prevalence ratio between the two extremes of wealth or education accounting for the entire distribution. Data were adjusted for confounding factors: sex, age, marital status, area of residence, and country of residence. Results Smoking and low fruit and vegetable consumption were significantly higher among lower socioeconomic groups. The highest wealth-related absolute inequality was seen in smoking among men of low- income country group (slope index of inequality 23.0 percentage points; 95% confidence interval 19.6, 26.4). The slope index of inequality for low fruit and vegetable consumption across the entire distribution of education was around 8 percentage points in both sexes and both country income groups. Physical inactivity was less prevalent in populations of low socioeconomic status, especially in low-income countries (relative index of inequality: (men) 0.46, 95% confidence interval 0.33, 0.64; (women) 0.52, 95% confidence interval 0.42, 0.65). Mixed patterns were found for heavy drinking. Conclusions Disaggregated analysis of the prevalence of non

Socioeconomic inequalities in cause specific mortality among older people in France.

PubMed

Menvielle, Gwenn; Leclerc, Annette; Chastang, Jean-François; Luce, Danièle

2010-05-19

European comparative studies documented a clear North-South divide in socioeconomic inequalities with cancer being the most important contributor to inequalities in total mortality among middle aged men in Latin Europe (France, Spain, Portugal, Italy). The aim of this paper is to investigate educational inequalities in mortality by gender, age and causes of death in France, with a special emphasis on people aged 75 years and more. We used data from a longitudinal population sample that includes 1% of the French population. Risk of death (total and cause specific) in the period 1990-1999 according to education was analysed using Cox regression models by age group (45-59, 60-74, and 75+). Inequalities were quantified using both relative (ratio) and absolute (difference) measures. Relative inequalities decreased with age but were still observed in the oldest age group. Absolute inequalities increased with age. This increase was particularly pronounced for cardiovascular diseases. The contribution of different causes of death to absolute inequalities in total mortality differed between age groups. In particular, the contribution of cancer deaths decreased substantially between the age groups 60-74 years and 75 years and more, both in men and in women. This study suggests that the large contribution of cancer deaths to the excess mortality among low educated people that was observed among middle aged men in Latin Europe is not observed among French people aged 75 years and more. This should be confirmed among other Latin Europe countries.

Income inequality is associated with adolescent fertility in Brazil: a longitudinal multilevel analysis of 5,565 municipalities.

PubMed

Chiavegatto Filho, Alexandre D P; Kawachi, Ichiro

2015-02-07

Brazil has one of the highest adolescent fertility rates in the world. Income inequality has been frequently linked to overall adolescent health, but studies that analyzed its association with adolescent fertility have been performed only in developed countries. Brazil, in the past decade, has presented a rare combination of increasing per capita income and decreasing income inequality, which could influence future desirable pathways for other countries. We analyzed every live birth from 2000 and from 2010 in each of the 5,565 municipalities of Brazil, a total of 6,049,864 births, which included 1,247,145 (20.6%) births from women aged 15 to 19. Income inequality was assessed by the Gini Coefficient and adolescent fertility by the ratio between the number of live births from women aged 15 to 19 and the number of women aged 15 to 19, calculated for each municipality. We first applied multilevel models separately for 2000 and 2010 to test the cross-sectional association between income inequality and adolescent fertility. We then fitted longitudinal first-differences multilevel models to control for time-invariant effects. We also performed a sensitivity analysis to include only municipality with satisfactory birth record coverage. Our results indicate a consistent and positive association between income inequality and adolescent fertility. After controlling for per capita income, college access, youth homicide rate and adult fertility, higher income inequality was significantly associated with higher adolescent fertility for both 2000 and 2010. The longitudinal multilevel models found similar results. The sensitivity analysis indicated that the results for the association between income inequality and adolescent fertility were robust. Adult fertility was also significantly associated with adolescent fertility in the cross-sectional and longitudinal models. Income inequality is expected to be a leading concern for most countries in the near future. Our results suggest

Neonatal Mortality and Inequalities in Bangladesh: Differential Progress and Sub-national Developments.

PubMed

Minnery, Mark; Firth, Sonja; Hodge, Andrew; Jimenez-Soto, Eliana

2015-09-01

A rapid reduction in under-five mortality has put Bangladesh on-track to reach Millennium Development Goal 4. Little research, however, has been conducted into neonatal reductions and sub-national rates in the country, with considerable disparities potentially masked by national reductions. The aim of this paper is to estimate national and sub-national rates of neonatal mortality to compute relative and absolute inequalities between sub-national groups and draw comparisons with rates of under-five mortality. Mortality rates for under-five children and neonates were estimated directly for 1980-1981 to 2010-2011 using data from six waves of the Demographic and Health Survey. Rates were stratified by levels of rural/urban location, household wealth and maternal education. Absolute and relative inequalities within these groups were measured by rate differences and ratios, and where possible, slope and relative indices of inequality. National mortality was shown to have decreased dramatically although at differential rates for under-fives and neonates. Across all equity markers, a general pattern of declining absolute but constant relative inequalities was found. For mortality rates stratified by education and wealth mixed evidence suggests that relative inequalities may have also fallen. Although disparities remain, Bangladesh has achieved a rare combination of substantive reductions in mortality levels without increases in relative inequalities. A coalescence of substantial increases in coverage and equitable distribution of key child and neonatal interventions with widespread health sectoral and policy changes over the last 30 years may in part explain this exceptional pattern.

Contribution of smoking to socioeconomic inequalities in mortality: a study of 14 European countries, 1990-2004.

PubMed

Gregoraci, G; van Lenthe, F J; Artnik, B; Bopp, M; Deboosere, P; Kovács, K; Looman, C W N; Martikainen, P; Menvielle, G; Peters, F; Wojtyniak, B; de Gelder, R; Mackenbach, J P

2017-05-01

Smoking contributes to socioeconomic inequalities in mortality, but the extent to which this contribution has changed over time and driven widening or narrowing inequalities in total mortality remains unknown. We studied socioeconomic inequalities in smoking-attributable mortality and their contribution to inequalities in total mortality in 1990-1994 and 2000-2004 in 14 European countries. We collected, harmonised and standardised population-wide data on all-cause and lung-cancer mortality by age, gender, educational and occupational level in 14 European populations in 1990-1994 and 2000-2004. Smoking-attributable mortality was indirectly estimated using the Preston-Glei-Wilmoth method. In 2000-2004, smoking-attributable mortality was higher in lower socioeconomic groups in all countries among men, and in all countries except Spain, Italy and Slovenia, among women, and the contribution of smoking to socioeconomic inequalities in mortality varied between 19% and 55% among men, and between -1% and 56% among women. Since 1990-1994, absolute inequalities in smoking-attributable mortality and the contribution of smoking to inequalities in total mortality have decreased in most countries among men, but increased among women. In many European countries, smoking has become less important as a determinant of socioeconomic inequalities in mortality among men, but not among women. Inequalities in smoking remain one of the most important entry points for reducing inequalities in mortality. 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 Chilean infant mortality decline: improvement for whom? Socioeconomic and geographic inequalities in infant mortality, 1990-2005.

PubMed

Hertel-Fernandez, Alexander Warren; Giusti, Alejandro Esteban; Sotelo, Juan Manuel

2007-10-01

To measure socioeconomic inequalities and differential risk in infant mortality on national and regional levels in Chile from 1990 to 2005, and propose new policy targets. The study analysed Chilean vital events registries from 1990 to 2005 for infant mortality by maternal education, head of household occupational status, cause, age and location of death. Annual infant mortality rates and relative risk were calculated by maternal education and head of household occupational status for each cause and age of death. Socioeconomic inequalities were then mapped to 29 regional health services. Reductions in the national infant mortality rate were driven by reductions among highly educated mothers, while recent stagnation in the national rate is caused by high levels of infant mortality among uneducated mothers. These vulnerable households are particularly prone to infant mortality risk due to infectious disease and trauma. We also identify clustering of high socioeconomic inequalities in infant mortality throughout the poorer north, indigenous south and densely populated metropolitan centre of Santiago. Finally, we report large inequities in vital statistics coverage, with infant deaths among vulnerable households much more likely to be inadequately defined than in the remaining population. These results indicate that the socioeconomically disadvantaged in Chile are at a significantly higher risk for infant mortality by infectious diseases and trauma during the first month of life. Efforts to reduce national infant mortality in Chile and other countries must involve policies that target child survival for at-risk populations for specific diseases, ages and locations.

Bring out your dead!: A study of income inequality and life expectancy in the United States, 2000-2010.

PubMed

Hill, Terrence D; Jorgenson, Andrew

2018-01-01

We test whether income inequality undermines female and male life expectancy in the United States. We employ data for all 50 states and the District of Columbia and two-way fixed effects to model state-level average life expectancy as a function of multiple income inequality measures and time-varying characteristics. We find that state-level income inequality is inversely associated with female and male life expectancy. We observe this general pattern across four measures of income inequality and under the rigorous conditions of state-specific and year-specific fixed effects. If income inequality undermines life expectancy, redistribution policies could actually improve the health of states. Copyright © 2017 Elsevier Ltd. All rights reserved.

Socially disparate trends in lifespan variation: a trend study on income and mortality based on nationwide Danish register data.

PubMed

Brønnum-Hansen, Henrik

2017-05-17

Social inequality trends in life expectancy are not informative as to changes in social disparity in the age-at-death distribution. The purpose of the study was to investigate social differentials in trends and patterns of adult mortality in Denmark. Register data on income and mortality from 1986 to 2014 were used to investigate trends in life expectancy, life disparity and the threshold age that separates 'premature' and 'late' deaths. Mortality compression was quantified and compared between income quartiles. Since 1986, male life expectancy increased by 4.2 years for the lowest income quartile and by 8.4 years for the highest income quartile. The clear compression of mortality apparent in the highest income quartile did not occur for the lowest income quartile. Premature and late deaths accounted both by 2.1 years of the increase in life expectancy in the lowest income quartile and by 6.0 and 2.4 years, respectively, in the highest income quartile. Life expectancy increased by 5.2 years among women in the lowest income quartile, 2.4 years due to premature deaths and 2.8 years due to late deaths. The gain in life expectancy among women in the highest income quartile of 5.6 years was distributed by 5.0 and 0.6 years due to premature and late deaths, respectively. The study demonstrates that the increasing social gap in mortality appears differently in the change of the age-at-death distribution. Thus, no compression of mortality was seen in the lowest income quartile. The results do not provide support for a uniformly extension of pension age for all. © 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.

Impact of income inequality and other social determinants on suicide rate in Brazil.

PubMed

Machado, Daiane Borges; Rasella, Davide; Dos Santos, Darci Neves

2015-01-01

To analyze whether income inequality and other social determinants are associated with suicide rate in Brazil. This study used panel data from all 5,507 Brazilian municipalities from 2000 to 2011. Suicide rates were calculated by sex and standardized by age for each municipality and year. The independent variables of the regression model included the Gini Index, per capita income, percentage of individuals with up to eight years of education, urbanization, average number of residents per household, percentage of divorced people, of Catholics, Pentecostals, and Evangelicals. A multivariable negative binomial regression for panel data with fixed-effects specification was performed. The Gini index was positively associated with suicide rates; the rate ratio (RR) was 1.055 (95% CI: 1.011-1.101). Of the other social determinants, income had a significant negative association with suicide rates (RR: 0.968, 95% CI: 0.948-0.988), whereas a low-level education had a positive association (RR: 1.015, 95% CI: 1.010-1.021). Income inequality represents a community-level risk factor for suicide rates in Brazil. The decrease in income inequality, increase in income per capita, and decrease in the percentage of individuals who did not complete basic studies may have counteracted the increase in suicides in the last decade. Other changes, such as the decrease in the mean residents per household, may have contributed to their increase. Therefore, the implementation of social policies that may improve the population's socioeconomic conditions and reduce income inequality in Brazil, and in other low and middle-income countries, can help to reduce suicide rates.

Should Less Inequality in Education Lead to a More Equal Income Distribution?

ERIC Educational Resources Information Center

Foldvari, Peter; van Leeuwen, Bas

2011-01-01

In this paper, we revisit the question whether inequality in education and human capital is closely related to income inequality. Using the most popular functional forms describing the relationship between, first, output and human capital and, second, education and human capital, we find that the effect of inequality in schooling on income…

Neighborhood income inequality, social capital and emotional distress among adolescents: A population-based study.

PubMed

Vilhjalmsdottir, Arndis; Gardarsdottir, Ragna B; Bernburg, Jon Gunnar; Sigfusdottir, Inga Dora

2016-08-01

Theory holds that income inequality may harm adolescent mental health by reducing social capital within neighborhood communities. However, research on this topic has been very limited. We use multilevel data on 102 public schools and 5958 adolescents in Iceland (15 and 16 years old) to examine whether income inequality within neighborhoods is associated with emotional distress in adolescents. Moreover, we test whether indicators of social capital, including social trust and embeddedness in neighborhood social networks, mediate this contextual effect. The findings show that neighborhood income inequality positively influences emotional distress of individual adolescents, net of their personal household situations and social relations. However, although the indicators of social capital negatively influence emotional distress, they do not mediate the contextual effect of neighborhood income inequality. The study illustrates the role of economic disparities in adolescent mental health, but calls for more research on the underlying social and social-psychological mechanisms. Copyright © 2016 The Foundation for Professionals in Services for Adolescents. Published by Elsevier Ltd. All rights reserved.

Income Inequality and Adolescent Gambling Severity: Findings from a Large-Scale Italian Representative Survey

PubMed Central

Canale, Natale; Vieno, Alessio; Lenzi, Michela; Griffiths, Mark D.; Borraccino, Alberto; Lazzeri, Giacomo; Lemma, Patrizia; Scacchi, Luca; Santinello, Massimo

2017-01-01

Background: Studies have shown that problems related to adult gambling have a geographical and social gradient. For instance, adults experiencing gambling-related harms live in areas of greater deprivation; are unemployed, and have lower income. However, little is known about the impact of socioeconomic inequalities on adolescent problem gambling. The main purpose of the present study was to investigate the contextual influences of income inequality on at-risk or problem gambling (ARPG) in a large-scale nationally representative sample of Italian adolescents. A secondary aim was to analyze the association between perceived social support (from family, peers, teachers, and classmates) and ARPG. Methods: Data from the 2013–2014 Health Behavior in School-aged Children Survey (HBSC) Study was used for cross-sectional analyses of ARPG. A total of 20,791 15-year-old students completed self-administered questionnaires. Region-level data on income inequality (GINI index) and overall wealth (GDP per capita) were retrieved from the National Institute of Statistics (Istat). The data were analyzed using the multi-level logistic regression analysis, with students at the first level and regions at the second level. Results: The study demonstrated a North–South gradient for the prevalence of ARPG, with higher prevalence of ARPG in the Southern/Islands/Central Regions (e.g., 11% in Sicily) than in Northern Italy (e.g., 2% in Aosta Valley). Students in regions of high-income inequality were significantly more likely than those in regions of low-income inequality to be at-risk or problem gamblers (following adjustment for sex, family structure, family affluence, perceived social support, and regionale wealth). Additionally, perceived social support from parents and teachers were negatively related to ARPG. Conclusions: Income inequality may have a contextual influence on ARPG. More specifically, living in regions of highest income inequality appeared to be a potential factor

Socioeconomic Inequalities Persist Despite Declining Stunting Prevalence in Low- and Middle-Income Countries.

PubMed

da Silva, Inácio Crochemore M; França, Giovanny V; Barros, Aluisio J D; Amouzou, Agbessi; Krasevec, Julia; Victora, Cesar G

2018-02-01

Global stunting prevalence has been nearly halved between 1990 and 2016, but it remains unclear whether this decline has benefited poor and rural populations within low- and middle-income countries (LMICs). We assessed time trends in stunting among children <5 y of age (under-5) according to household wealth and place of residence in 67 LMICs. Stunting prevalence was analyzed in 217 nationally representative Demographic and Health Surveys and Multiple Indicator Cluster Surveys from 67 countries with ≥2 surveys between 1993 and 2014. National estimates were stratified by wealth and area of residence, comparing the poorest 40% with the wealthiest 60%, and those residing in urban and rural areas. Time trends were calculated for LMICs by using multilevel regression models weighted by under-5 population, with stratification by wealth and by residence. Trends in absolute (slope index of inequality; SII) and relative (concentration index; CIX) inequalities were calculated. Mean prevalences in 1993 were 53.7% in low-income and 48.2% in middle-income countries, with annual average linear declines of 0.76 and 0.72 percentage points (pp), respectively. Although similar slopes of declines were observed for the poorest 40% and wealthiest 60% groups in all countries (0.78 and 0.74 pp, respectively), absolute and relative inequalities increased over time in low-income countries (SII increased from -19.3% in 1993 to -23.7% in 2014 and CIX increased from -6.2% to -10.8% in the same period). In middle-income countries, socioeconomic inequalities remained stable. Overall, stunting prevalence decreased more rapidly among rural than for urban children (0.78 and 0.55 pp, respectively). The prevalence of stunting is decreasing. Poor-rich gaps are stable in middle-income countries and slightly increasing in low-income countries. Rural-urban inequalities are decreasing over time.

Joint Effects of Structural Racism and Income Inequality on Small-for-Gestational-Age Birth

PubMed Central

Wallace, Maeve E.; Liu, Danping; Grantz, Katherine L.

2015-01-01

Objectives. We examined potential synergistic effects of racial and socioeconomic inequality associated with small-for-gestational-age (SGA) birth. Methods. Electronic medical records from singleton births to White and Black women in 10 US states and the District of Columbia (n = 121 758) were linked to state-level indicators of structural racism, including the ratios of Blacks to Whites who were employed, were incarcerated, and had a bachelor’s or higher degree. We used state-level Gini coefficients to assess income inequality. Generalized estimating equations models were used to quantify the adjusted odds of SGA birth associated with each indicator and the joint effects of structural racism and income inequality. Results. Structural racism indicators were associated with higher odds of SGA birth, and similar effects were observed for both races. The joint effects of racial and income inequality were significantly associated with SGA birth only when levels of both were high; in areas with high inequality levels, adjusted odds ratios ranged from 1.81 to 2.11 for the 3 structural racism indicators. Conclusions. High levels of racial inequality and socioeconomic inequality appear to increase the risk of SGA birth, particularly when they co-occur. PMID:26066964

Joint Effects of Structural Racism and Income Inequality on Small-for-Gestational-Age Birth.

PubMed

Wallace, Maeve E; Mendola, Pauline; Liu, Danping; Grantz, Katherine L

2015-08-01

We examined potential synergistic effects of racial and socioeconomic inequality associated with small-for-gestational-age (SGA) birth. Electronic medical records from singleton births to White and Black women in 10 US states and the District of Columbia (n = 121 758) were linked to state-level indicators of structural racism, including the ratios of Blacks to Whites who were employed, were incarcerated, and had a bachelor's or higher degree. We used state-level Gini coefficients to assess income inequality. Generalized estimating equations models were used to quantify the adjusted odds of SGA birth associated with each indicator and the joint effects of structural racism and income inequality. Structural racism indicators were associated with higher odds of SGA birth, and similar effects were observed for both races. The joint effects of racial and income inequality were significantly associated with SGA birth only when levels of both were high; in areas with high inequality levels, adjusted odds ratios ranged from 1.81 to 2.11 for the 3 structural racism indicators. High levels of racial inequality and socioeconomic inequality appear to increase the risk of SGA birth, particularly when they co-occur.

Income inequality, disinvestment in health care and use of dental services.

PubMed

Bhandari, Bishal; Newton, Jonathan T; Bernabé, Eduardo

2015-01-01

To explore the interrelationships between income inequality, disinvestment in health care, and use of dental services at country level. This study pooled national estimates for use of dental services among adults aged 18 years or older from the 70 countries that participated in the World Health Survey from 2002 to 2004, together with aggregate data on national income (GDP per capita), income inequality (Gini coefficient), and disinvestment in health care (total health expenditure and dentist-to-population ratio) from various international sources. Use of dental services was defined as having had dental problems in the last 12 months and having received any treatment to address those needs. Associations between variables were explored using Pearson correlation coefficients and linear regression. Data from 63 countries representing the six WHO regions were analyzed. Use of dental services was negatively correlated with Gini coefficient (Pearson correlation coefficient -0.48, P < 0.001) and positively correlated with GDP per capita (0.40, P < 0.05), total health expenditure (0.45, P < 0.001), and dentist-to-population ratio (0.67, P < 0.001). The association between Gini coefficient and use of dental services was attenuated but remained significant after adjustments for GDP per capita, total health expenditure, and dentist-to-population ratio (regression coefficient -0.36; 95% CI -0.57, -0.15). This study shows an inverse relationship between income inequality and use of dental services. Of the two indicators of disinvestment in health care assessed, only dentist-to-population ratio was associated with income inequality and use of dental services. © 2014 American Association of Public Health Dentistry.

Regional inequalities in premature mortality in Great Britain

PubMed Central

Laroze, Denise; Neumayer, Eric

2018-01-01

Premature mortality exhibits strong spatial patterns in Great Britain. Local authorities that are located further North and West, that are more distant from its political centre London and that are more urban tend to have a higher premature mortality rate. Premature mortality also tends to cluster among geographically contiguous and proximate local authorities. We develop a novel analytical research design that relies on spatial pattern recognition to demonstrate that an empirical model that contains only socio-economic variables can eliminate these spatial patterns almost entirely. We demonstrate that socioeconomic factors across local authority districts explain 81 percent of variation in female and 86 percent of variation in male premature mortality in 2012–14. As our findings suggest, policy-makers cannot hope that health policies alone suffice to significantly reduce inequalities in health. Rather, it requires strong efforts to reduce the inequalities in socio-economic factors, or living conditions for short, in order to overcome the spatial disparities in health, of which premature mortality is a clear indication. PMID:29489918

Population increase, economic growth, educational inequality, and income distribution: some recent evidence.

PubMed

Ram, R

1984-04-01

The relationship between population increase, economic growth, education and income inequality was examined in a cross-section study based on data from 26 developing and 2 developed countries. As other studies have noted, high population growth is associated with a less equal income distribution. A 1 percentage point reduction in the rate of population growth tends to raise the income share of the poorest 80% in the less developed world by almost 5 percentage points and is associated with a 1.7 percentage point increase in the income share of the poorest 40%. The relationship between short-run income growth and equality, on the other hand, is strong and positive. Estimates suggest that a 1 percentage point increase in the short-run rate of growth of the gross domestic product (GDP) increases the income share of the bottom 80% by about 2 percentage points and that of the poorest 40% by almost 1 percentage point. Although higher mean schooling appears to be a mild equalizer, educational inequality does not appear to have an adverse effect on income distribution. Overall, these results challenge the widely held belief that there must be a growth-equity trade-off. Moreover, they suggest that the impact of educational inequality on income distribution may be different from that observed in earlier studies, implying a need for caution in using these earlier results as a basis for educational policy development.

Income inequality and educational assortative mating: Evidence from the Luxembourg Income Study.

PubMed

Monaghan, David

2015-07-01

Though extensive research has explored the prevalence of educational assortative mating, what causes its variation across countries and over time is not well understood. Using data from the Luxembourg Income Study Database, I investigate the hypothesis that assortative mating by income is influenced by income inequality between educational strata. I find that in countries with greater returns to education, the odds of any sort of union that crosses educational boundaries is substantially reduced. However, I do not find substantial evidence of an effect of changes in returns to education on marital sorting within countries. Educational and labor market parity between males and females appear to be negatively related to marital sorting. Copyright © 2015 Elsevier Inc. All rights reserved.

Early diffusion of gene expression profiling in breast cancer patients associated with areas of high income inequality.

PubMed

Ponce, Ninez A; Ko, Michelle; Liang, Su-Ying; Armstrong, Joanne; Toscano, Michele; Chanfreau-Coffinier, Catherine; Haas, Jennifer S

2015-04-01

With the Affordable Care Act reducing coverage disparities, social factors could prominently determine where and for whom innovations first diffuse in health care markets. Gene expression profiling is a potentially cost-effective innovation that guides chemotherapy decisions in early-stage breast cancer, but adoption has been uneven across the United States. Using a sample of commercially insured women, we evaluated whether income inequality in metropolitan areas was associated with receipt of gene expression profiling during its initial diffusion in 2006-07. In areas with high income inequality, gene expression profiling receipt was higher than elsewhere, but it was associated with a 10.6-percentage-point gap between high- and low-income women. In areas with low rates of income inequality, gene expression profiling receipt was lower, with no significant differences by income. Even among insured women, income inequality may indirectly shape diffusion of gene expression profiling, with benefits accruing to the highest-income patients in the most unequal places. Policies reducing gene expression profiling disparities should address low-inequality areas and, in unequal places, practice settings serving low-income patients. Project HOPE—The People-to-People Health Foundation, Inc.

Income inequality and cardiovascular disease risk factors in a highly unequal country: a fixed-effects analysis from South Africa.

PubMed

Adjaye-Gbewonyo, Kafui; Kawachi, Ichiro; Subramanian, S V; Avendano, Mauricio

2018-03-06

Chronic stress associated with high income inequality has been hypothesized to increase CVD risk and other adverse health outcomes. However, most evidence comes from high-income countries, and there is limited evidence on the link between income inequality and biomarkers of chronic stress and risk for CVD. This study examines how changes in income inequality over recent years relate to changes in CVD risk factors in South Africa, home to some of the highest levels of income inequality globally. We linked longitudinal data from 9356 individuals interviewed in the 2008 and 2012 National Income Dynamics Study to district-level Gini coefficients estimated from census and survey data. We investigated whether subnational district income inequality was associated with several modifiable risk factors for cardiovascular disease (CVD) in South Africa, including body mass index (BMI), waist circumference, blood pressure, physical inactivity, smoking, and high alcohol consumption. We ran individual fixed-effects models to examine the association between changes in income inequality and changes in CVD risk factors over time. Linear models were used for continuous metabolic outcomes while conditional Poisson models were used to estimate risk ratios for dichotomous behavioral outcomes. Both income inequality and prevalence of most CVD risk factors increased over the period of study. In longitudinal fixed-effects models, changes in district Gini coefficients were not significantly associated with changes in CVD risk factors. Our findings do not support the hypothesis that subnational district income inequality is associated with CVD risk factors within the high-inequality setting of South Africa.

Exploring the inequality-mortality relationship in the US with Bayesian spatial modeling

PubMed Central

Yang, Tse-Chuan; Jensen, Leif

2014-01-01

While there is evidence to suggest that socioeconomic inequality within places is associated with mortality rates among people living within them, the empirical connection between the two remains unsettled as potential confounders associated with racial and social structure are overlooked. This study seeks to test this relationship, to determine whether it is due to differential levels of deprivation and social capital, and does so with intrinsically conditional autoregressive Bayesian spatial modeling that effectively addresses the bias introduced by spatial dependence. We find that deprivation and social capital partly but not completely account for why inequality is positively associated with mortality and that spatial modeling generates more accurate predictions than does the traditional approach. We advance the literature by unveiling the intervening roles of social capital and deprivation in the inequality-mortality relationship and offering new evidence that inequality matters in US county mortality rates. PMID:26166920

Inequalities in health: living conditions and infant mortality in Northeastern Brazil

PubMed Central

Carvalho, Renata Alves da Silva; Santos, Victor Santana; de Melo, Cláudia Moura; Gurgel, Ricardo Queiroz; Oliveira, Cristiane Costa da Cunha

2015-01-01

OBJECTIVE To analyze the variation of infant mortality as per condition of life in the urban setting. METHODS Ecological study performed with data regarding registered deaths of children under the age of one who resided in Aracaju, SE, Northeastern Brazil, from 2001 to 2010. Infant mortality inequalities were assessed based on the spatial distribution of the Living Conditions Index for each neighborhood, classified into four strata. The average mortality rates of 2001-2005 and 2006-2010 were compared using the Student’s t-test. RESULTS Average infant mortality rates decreased from 25.3 during 2001-2005 to 17.7 deaths per 1,000 live births in 2006-2010. Despite the decrease in the rates in all the strata during that decade, inequality of infant mortality risks increased in neighborhoods with worse living conditions compared with that in areas with better living conditions. CONCLUSIONS Infant mortality rates in Aracaju showed a decline, but with important differences among neighborhoods. The assessment based on a living condition perspective can explain the differences in the risks of infant mortality rates in urban areas, highlighting health inequalities in infant mortality as a multidimensional issue. PMID:25741650