Preschool Speech Error Patterns Predict Articulation and Phonological Awareness Outcomes in Children with Histories of Speech Sound Disorders

ERIC Educational Resources Information Center

Preston, Jonathan L.; Hull, Margaret; Edwards, Mary Louise

2013-01-01

Purpose: To determine if speech error patterns in preschoolers with speech sound disorders (SSDs) predict articulation and phonological awareness (PA) outcomes almost 4 years later. Method: Twenty-five children with histories of preschool SSDs (and normal receptive language) were tested at an average age of 4;6 (years;months) and were followed up…

Cross-National Analysis of the Associations among Mental Disorders and Suicidal Behavior: Findings from the WHO World Mental Health Surveys

PubMed Central

Nock, Matthew K.; Hwang, Irving; Sampson, Nancy; Kessler, Ronald C.; Angermeyer, Matthias; Beautrais, Annette; Borges, Guilherme; Bromet, Evelyn; Bruffaerts, Ronny; de Girolamo, Giovanni; de Graaf, Ron; Florescu, Silvia; Gureje, Oye; Haro, Josep Maria; Hu, Chiyi; Huang, Yueqin; Karam, Elie G.; Kawakami, Norito; Kovess, Viviane; Levinson, Daphna; Posada-Villa, Jose; Sagar, Rajesh; Tomov, Toma; Viana, Maria Carmen; Williams, David R.

2009-01-01

Background Suicide is a leading cause of death worldwide. Mental disorders are among the strongest predictors of suicide; however, little is known about which disorders are uniquely predictive of suicidal behavior, the extent to which disorders predict suicide attempts beyond their association with suicidal thoughts, and whether these associations are similar across developed and developing countries. This study was designed to test each of these questions with a focus on nonfatal suicide attempts. Methods and Findings Data on the lifetime presence and age-of-onset of Diagnostic and Statistical Manual of Mental Disorders, 4th Edition (DSM-IV) mental disorders and nonfatal suicidal behaviors were collected via structured face-to-face interviews with 108,664 respondents from 21 countries participating in the WHO World Mental Health Surveys. The results show that each lifetime disorder examined significantly predicts the subsequent first onset of suicide attempt (odds ratios [ORs] = 2.9–8.9). After controlling for comorbidity, these associations decreased substantially (ORs = 1.5–5.6) but remained significant in most cases. Overall, mental disorders were equally predictive in developed and developing countries, with a key difference being that the strongest predictors of suicide attempts in developed countries were mood disorders, whereas in developing countries impulse-control, substance use, and post-traumatic stress disorders were most predictive. Disaggregation of the associations between mental disorders and nonfatal suicide attempts showed that these associations are largely due to disorders predicting the onset of suicidal thoughts rather than predicting progression from thoughts to attempts. In the few instances where mental disorders predicted the transition from suicidal thoughts to attempts, the significant disorders are characterized by anxiety and poor impulse-control. The limitations of this study include the use of retrospective self-reports of lifetime occurrence and age-of-onset of mental disorders and suicidal behaviors, as well as the narrow focus on mental disorders as predictors of nonfatal suicidal behaviors, each of which must be addressed in future studies. Conclusions This study found that a wide range of mental disorders increased the odds of experiencing suicide ideation. However, after controlling for psychiatric comorbidity, only disorders characterized by anxiety and poor impulse-control predict which people with suicide ideation act on such thoughts. These findings provide a more fine-grained understanding of the associations between mental disorders and subsequent suicidal behavior than previously available and indicate that mental disorders predict suicidal behaviors similarly in both developed and developing countries. Future research is needed to delineate the mechanisms through which people come to think about suicide and subsequently progress from ideation to attempts. Please see later in the article for Editors' Summary PMID:19668361

Multimethod Investigation of Interpersonal Functioning in Borderline Personality Disorder

PubMed Central

Stepp, Stephanie D.; Hallquist, Michael N.; Morse, Jennifer Q.; Pilkonis, Paul A.

2011-01-01

Even though interpersonal functioning is of great clinical importance for patients with borderline personality disorder (BPD), the comparative validity of different assessment methods for interpersonal dysfunction has not yet been tested. This study examined multiple methods of assessing interpersonal functioning, including self- and other-reports, clinical ratings, electronic diaries, and social cognitions in three groups of psychiatric patients (N=138): patients with (1) BPD, (2) another personality disorder, and (3) Axis I psychopathology only. Using dominance analysis, we examined the predictive validity of each method in detecting changes in symptom distress and social functioning six months later. Across multiple methods, the BPD group often reported higher interpersonal dysfunction scores compared to other groups. Predictive validity results demonstrated that self-report and electronic diary ratings were the most important predictors of distress and social functioning. Our findings suggest that self-report scores and electronic diary ratings have high clinical utility, as these methods appear most sensitive to change. PMID:21808661

Promoting Homework Adherence in Cognitive-Behavioral Therapy for Adolescent Depression

PubMed Central

Jungbluth, Nathaniel J.; Shirk, Stephen R.

2012-01-01

Objective This study used prospective, observational methods to evaluate six features of therapist behavior as predictors of homework adherence in cognitive-behavioral therapy (CBT) for adolescent depression, with the goal of identifying therapist strategies with the potential to improve adolescent adherence. Therapist behaviors were expected to interact with initial levels of client resistance or adherence to predict subsequent homework completion. Method Participants were 50 referred adolescents (33 females, 54% ethnic minority) ages 14–18 (M=15.9) meeting diagnostic criteria for a depressive disorder, and without co-morbid psychotic disorder, bipolar disorder, autism spectrum disorder, intellectual disability, or concurrent treatments. Therapist homework-related behaviors were coded from audiotapes of Sessions 1 and 2 and used to predict adolescents’ homework adherence, coded from audiotapes of Sessions 2 and 3. Results Several therapist behaviors were predictive of subsequent homework adherence, particularly for initially resistant or non-adherent adolescents. Stronger homework rationale and greater time allocated to explaining homework in Session 1 predicted greater adherence at Session 2, particularly for initially resistant adolescents. Stronger rationale and eliciting reactions/troubleshooting obstacles in Session 2 predicted greater adherence at Session 3, particularly for adolescents who were less adherent to prior homework. Conclusions Strategies such as providing a strong rationale, allocating more time to assigning homework, and eliciting reactions/troubleshooting obstacles may be effective ways to bolster homework adherence among initially less engaged, depressed teens. PMID:23237021

Development of Anxiety Disorders in a Traumatized Pediatric Population: A Preliminary Longitudinal Evaluation

ERIC Educational Resources Information Center

Cortes, Adriana M.; Saltzman, Kassey M.; Weems, Carl F.; Regnault, Heather P.; Reiss, Allan L.; Carrion, Victor G.

2005-01-01

Objective: The current study was conducted to determine if post-traumatic stress disorder (PTSD) symptomatology predicted later development of non-PTSD anxiety disorders in children and adolescents victimized by interpersonal trauma. Methods: Thirty-four children with a history of interpersonal trauma and no initial diagnosis of anxiety disorder…

Parent and Child Agreement on Anxiety Disorder Symptoms Using the DISC Predictive Scales

ERIC Educational Resources Information Center

Weems, Carl F.; Feaster, Daniel J.; Horigian, Viviana E.; Robbins, Michael S.

2011-01-01

Growing recognition of the negative impact of anxiety disorders in the lives of youth has made their identification an important clinical task. Multiple perspective assessment (e.g., parents, children) is generally considered a preferred method in the assessment of anxiety disorder symptoms, although it has been generally thought that disagreement…

A new approach to applying feedforward neural networks to the prediction of musculoskeletal disorder risk.

PubMed

Chen, C L; Kaber, D B; Dempsey, P G

2000-06-01

A new and improved method to feedforward neural network (FNN) development for application to data classification problems, such as the prediction of levels of low-back disorder (LBD) risk associated with industrial jobs, is presented. Background on FNN development for data classification is provided along with discussions of previous research and neighborhood (local) solution search methods for hard combinatorial problems. An analytical study is presented which compared prediction accuracy of a FNN based on an error-back propagation (EBP) algorithm with the accuracy of a FNN developed by considering results of local solution search (simulated annealing) for classifying industrial jobs as posing low or high risk for LBDs. The comparison demonstrated superior performance of the FNN generated using the new method. The architecture of this FNN included fewer input (predictor) variables and hidden neurons than the FNN developed based on the EBP algorithm. Independent variable selection methods and the phenomenon of 'overfitting' in FNN (and statistical model) generation for data classification are discussed. The results are supportive of the use of the new approach to FNN development for applications to musculoskeletal disorders and risk forecasting in other domains.

Managerial Quality and Risk of Depressive Disorders Among Danish Eldercare Workers

PubMed Central

Rugulies, Reiner; Jakobsen, Louise M.; Madsen, Ida E.H.; Borg, Vilhelm; Carneiro, Isabella G.; Aust, Birgit

2018-01-01

Objective: To examine whether low managerial quality predicts risk of depressive disorders. Methods: Using multilevel mixed-effects logistic regression analyses we examined the prospective association of individual-level and workplace-mean managerial quality with onset of depressive disorders among 5244 eldercare workers from 274 workplaces during 20 months follow-up. Results: Low managerial quality predicted onset of depressive disorders in both the individual-level (odds ratio [OR] = 1.85, 95% confidence interval [CI] = 1.25 to 2.76) and the workplace-mean analysis (OR = 1.48, 95% CI = 1.06 to 2.07). Low individual-level managerial quality predicted onset of depressive disorders when workplace-mean managerial quality was high (OR = 3.10, 95% CI = 1.71 to 5.62) but not when it was low (OR = 1.07, 95% CI = 0.61 to 1.87). This interaction was statistically significant (P = 0.03). Conclusions: Both low individual-level and low workplace-mean managerial quality predicted risk of depressive disorders. The association was strongest among individuals reporting low managerial quality at workplaces with high workplace-mean managerial quality. PMID:29023339

Adolescent Eating Disorders Predict Psychiatric, High-Risk Behaviors and Weight Outcomes in Young Adulthood

PubMed Central

Micali, Nadia; Solmi, Francesca; Horton, Nicholas J.; Crosby, Ross D.; Eddy, Kamryn T.; Calzo, Jerel P.; Sonneville, Kendrin R.; Swanson, Sonja A.; Field, Alison E.

2015-01-01

Objective To investigate whether anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and other specified feeding and eating disorders (OSFED), including purging disorder (PD), subthreshold BN, and BED at ages 14 and 16, are prospectively associated with later depression, anxiety disorders, alcohol and substance use, and self-harm. Method Eating disorders were ascertained at 14 and 16 years of age in 6,140 youth at age 14 (58% of those eligible) and 5,069 at age 16 (52% of those eligible) as part of the prospective Avon Longitudinal Study of Parents and Children (ALSPAC). Outcomes (depression, anxiety disorders, binge drinking, drug use, deliberate self-harm, weight status) were measured using interviews and questionnaires about 2 years following predictors. Generalized estimating equation models adjusting for gender, socio-demographic variables, and prior outcome were used to examine prospective associations between eating disorders and each outcome. Results All eating disorders were predictive of later anxiety disorders. AN, BN, BED, PD, and OSFED were prospectively associated with depression (respectively AN: odds ratio [OR]=1.39 [95% CIs: 1.00-1.94]; BN: OR=3.39[1.25-9.20]; BED: OR=2.00 [1.06-3.75]; PD: OR=2.56 [1.38-4.74]). All eating disorders but AN predicted drug use and deliberate self-harm (BN: OR=5.72[2.22-14.72], PD: OR=4.88[2.78-8.57], subthreshold BN: OR=3.97[1.44-10.98], subthreshold BED: OR=2.32[1.43-3.75]). Whilst BED and BN predicted obesity (respectively OR=3.58 [1.06-12.14] and OR=6.42 [1.69-24.30]), AN was prospectively associated with underweight. Conclusions Adolescent eating disorders, including subthreshold presentations, predict negative outcomes, including mental health disorders, substance use, deliberate self-harm, and weight outcomes. This study highlights the high public health and clinical burden of eating disorders among adolescents. PMID:26210334

The Twilight Zone between Protein Order and Disorder

PubMed Central

Szilágyi, A.; Györffy, D.; Závodszky, P.

2008-01-01

The amino acid composition of intrinsically disordered proteins and protein segments characteristically differs from that of ordered proteins. This observation forms the basis of several disorder prediction methods. These, however, usually perform worse for smaller proteins (or segments) than for larger ones. We show that the regions of amino acid composition space corresponding to ordered and disordered proteins overlap with each other, and the extent of the overlap (the “twilight zone”) is larger for short than for long chains. To explain this finding, we used two-dimensional lattice model proteins containing hydrophobic, polar, and charged monomers and revealed the relation among chain length, amino acid composition, and disorder. Because the number of chain configurations exponentially grows with chain length, a larger fraction of longer chains can reach a low-energy, ordered state than do shorter chains. The amount of information carried by the amino acid composition about whether a protein or segment is (dis)ordered grows with increasing chain length. Smaller proteins rely more on specific interactions for stability, which limits the possible accuracy of disorder prediction methods. For proteins in the “twilight zone”, size can determine order, as illustrated by the example of two-state homodimers. PMID:18441033

The twilight zone between protein order and disorder.

PubMed

Szilágyi, A; Györffy, D; Závodszky, P

2008-08-01

The amino acid composition of intrinsically disordered proteins and protein segments characteristically differs from that of ordered proteins. This observation forms the basis of several disorder prediction methods. These, however, usually perform worse for smaller proteins (or segments) than for larger ones. We show that the regions of amino acid composition space corresponding to ordered and disordered proteins overlap with each other, and the extent of the overlap (the "twilight zone") is larger for short than for long chains. To explain this finding, we used two-dimensional lattice model proteins containing hydrophobic, polar, and charged monomers and revealed the relation among chain length, amino acid composition, and disorder. Because the number of chain configurations exponentially grows with chain length, a larger fraction of longer chains can reach a low-energy, ordered state than do shorter chains. The amount of information carried by the amino acid composition about whether a protein or segment is (dis)ordered grows with increasing chain length. Smaller proteins rely more on specific interactions for stability, which limits the possible accuracy of disorder prediction methods. For proteins in the "twilight zone", size can determine order, as illustrated by the example of two-state homodimers.

Environmental Pressure May Change the Composition Protein Disorder in Prokaryotes

PubMed Central

Vicedo, Esmeralda; Schlessinger, Avner; Rost, Burkhard

2015-01-01

Many prokaryotic organisms have adapted to incredibly extreme habitats. The genomes of such extremophiles differ from their non-extremophile relatives. For example, some proteins in thermophiles sustain high temperatures by being more compact than homologs in non-extremophiles. Conversely, some proteins have increased volumes to compensate for freezing effects in psychrophiles that survive in the cold. Here, we revealed that some differences in organisms surviving in extreme habitats correlate with a simple single feature, namely the fraction of proteins predicted to have long disordered regions. We predicted disorder with different methods for 46 completely sequenced organisms from diverse habitats and found a correlation between protein disorder and the extremity of the environment. More specifically, the overall percentage of proteins with long disordered regions tended to be more similar between organisms of similar habitats than between organisms of similar taxonomy. For example, predictions tended to detect substantially more proteins with long disordered regions in prokaryotic halophiles (survive high salt) than in their taxonomic neighbors. Another peculiar environment is that of high radiation survived, e.g. by Deinococcus radiodurans. The relatively high fraction of disorder predicted in this extremophile might provide a shield against mutations. Although our analysis fails to establish causation, the observed correlation between such a simplistic, coarse-grained, microscopic molecular feature (disorder content) and a macroscopic variable (habitat) remains stunning. PMID:26252577

Prediction of active sites of enzymes by maximum relevance minimum redundancy (mRMR) feature selection.

PubMed

Gao, Yu-Fei; Li, Bi-Qing; Cai, Yu-Dong; Feng, Kai-Yan; Li, Zhan-Dong; Jiang, Yang

2013-01-27

Identification of catalytic residues plays a key role in understanding how enzymes work. Although numerous computational methods have been developed to predict catalytic residues and active sites, the prediction accuracy remains relatively low with high false positives. In this work, we developed a novel predictor based on the Random Forest algorithm (RF) aided by the maximum relevance minimum redundancy (mRMR) method and incremental feature selection (IFS). We incorporated features of physicochemical/biochemical properties, sequence conservation, residual disorder, secondary structure and solvent accessibility to predict active sites of enzymes and achieved an overall accuracy of 0.885687 and MCC of 0.689226 on an independent test dataset. Feature analysis showed that every category of the features except disorder contributed to the identification of active sites. It was also shown via the site-specific feature analysis that the features derived from the active site itself contributed most to the active site determination. Our prediction method may become a useful tool for identifying the active sites and the key features identified by the paper may provide valuable insights into the mechanism of catalysis.

Anxiety Disorders in Adolescents and Psychosocial Outcomes at Age 30

PubMed Central

Essau, Cecilia A.; Lewinsohn, Peter M.; Olaya, Beatriz; Seeley, John R.

2014-01-01

Background Anxiety disorders are associated with adverse psychosocial functioning, and are predictive of a wide range of psychiatric disorders in adulthood. Objective The present study examined the associations between anxiety disorders during childhood and adolescence and psychosocial outcomes at age 30, and sought to address the extent to which psychopathology after age 19 mediated these relations. Method Eight hundred and sixteen participants from a large community sample were interviewed twice during adolescence, at age 24, and at age 30. They completed self-report measures of psychosocial functioning and semi-structured diagnostic interviews during adolescence and young adulthood. Results Childhood anxiety only predicted less years of completed education at age 30, whereas adolescent anxiety predicted income, unemployment, maladjustment, poor coping skills, more chronic stress and life events. Adult major depressive disorder (MDD) was the only disorder predicted by childhood anxiety, whereas adolescent anxiety predicted MDD, substance (SUD) and alcohol abuse/dependence (AUD) in adulthood. No adult psychopathology mediated the relationship between childhood anxiety disorders and psychosocial outcomes at age 30. Adult MDD, SUD and AUD partially or completely mediated the association between adolescent anxiety and most domains of psychosocial functioning at age 30. Limitations The participants are ethically and geographically homogenous, and changes in the diagnostic criteria and the interview schedules across the assessment periods. Conclusion Adolescent anxiety, compared to childhood anxiety, is associated with more adverse psychosocial outcomes at age 30. Adolescent anxiety affects negative outcomes at age 30 directly and through MDD, SUD and AUD. PMID:24456837

Adolescent eating disorder behaviours and cognitions: gender-specific effects of child, maternal and family risk factors

PubMed Central

Micali, N.; De Stavola, B.; Ploubidis, G.; Simonoff, E.; Treasure, J.; Field, A. E.

2015-01-01

Background Eating disorder behaviours begin in adolescence. Few longitudinal studies have investigated childhood risk and protective factors. Aims To investigate the prevalence of eating disorder behaviours and cognitions and associated childhood psychological, physical and parental risk factors among a cohort of 14-year-old children. Method Data were collected from 6140 boys and girls aged 14 years. Gender-stratified models were used to estimate prospective associations between childhood body dissatisfaction, body mass index (BMI), self-esteem, maternal eating disorder and family economic disadvantage on adolescent eating disorder behaviours and cognitions. Results Childhood body dissatisfaction strongly predicted eating disorder cognitions in girls, but only in interaction with BMI in boys. Higher self-esteem had a protective effect, particularly in boys. Maternal eating disorder predicted body dissatisfaction and weight/shape concern in adolescent girls and dieting in boys. Conclusions Risk factors for eating disorder behaviours and cognitions vary according to gender. Prevention strategies should be gender-specific and target modifiable predictors in childhood and early adolescence. PMID:26206865

Latent Classes of Adolescent Posttraumatic Stress Disorder Predict Functioning and Disorder after 1 Year

ERIC Educational Resources Information Center

Ayer, Lynsay; Danielson, Carla Kmett; Amstadter, Ananda B.; Ruggiero, Ken; Saunders, Ben; Kilpatrick, Dean

2011-01-01

Objective: To identify latent classes of posttraumatic stress disorder (PTSD) symptoms in a national sample of adolescents, and to test their associations with PTSD and functional impairment 1 year later. Method: A total of 1,119 trauma-exposed youth aged 12 through 17 years (mean = 14.99 years, 51% female and 49% male) participating in the…

Oppositional Defiant Disorder dimensions: genetic influences and risk for later psychopathology

PubMed Central

Mikolajewski, Amy J.; Taylor, Jeanette; Iacono, William G.

2016-01-01

Background This study was undertaken to determine how well two Oppositional Defiant Disorder (ODD) dimensions (irritable and headstrong/hurtful) assessed in childhood predict late adolescent psychopathology and the degree to which these outcomes can be attributed to genetic influences shared with ODD dimensions. Methods Psychopathology was assessed via diagnostic interviews of 1225 twin pairs at ages 11 and 17. Results Consistent with hypotheses, the irritable dimension uniquely predicted overall internalizing problems, whereas the headstrong/hurtful dimension uniquely predicted substance use disorder symptoms. Both dimensions were predictive of antisocial behavior, and overall externalizing problems. The expected relationships between the irritable dimension and specific internalizing disorders were not found. Twin modeling showed the irritable and headstrong/hurtful dimensions were related to late adolescent psychopathology symptoms through common genetic influences. Conclusions Symptoms of ODD in childhood pose a significant risk for various mental health outcomes in late adolescence. Further, common genetic influences underlie the covariance between irritable symptoms in childhood and overall internalizing problems in late adolescence, whereas headstrong/hurtful symptoms share genetic influences with substance use disorder symptoms. Antisocial behavior and overall externalizing share common genetic influences with both the irritable and headstrong/hurtful dimensions. PMID:28059443

Exasperating or Exceptional? Parents' Interpretations of Their Child's ADHD Behavior

ERIC Educational Resources Information Center

Lench, Heather C.; Levine, Linda J.; Whalen, Carol K.

2013-01-01

Objective: Attention Deficit/Hyperactivity Disorder (ADHD) is a commonly diagnosed childhood disorder associated with parent--child conflict and parental stress. This investigation explored whether parents' interpretation of symptomatic behavior predicted negative interactions with and perceptions of their child. Method: We recruited parents of…

Perplexities and Provocations of Eating Disorders

ERIC Educational Resources Information Center

Halmi, Katherine A.

2009-01-01

Background: Etiological hypotheses of eating disorders, anorexia nervosa and bulimia nervosa have not produced informative research for predictably effective treatment. Methods: The rationale for applying a model of allostasis, a dysregulation of reward circuits with activation of brain and hormonal stress responses to maintain apparent stability,…

Screening and Predicting Posttraumatic Stress and Depression in Children Following Single-Incident Trauma

ERIC Educational Resources Information Center

Nixon, Reginald D. V.; Ellis, Alicia A.; Nehmy, Thomas J.; Ball, Shelley-Anne

2010-01-01

Three screening methods to predict posttraumatic stress disorder (PTSD) and depression symptoms in children following single-incident trauma were tested. Children and adolescents (N = 90; aged 7-17 years) were assessed within 4 weeks of an injury that led to hospital treatment and followed up 3 and 6 months later. Screening methods were adapted…

Childhood CBCL Bipolar Profile and Adolescent/Young Adult Personality Disorders: A 9-year Follow-up

PubMed Central

Halperin, Jeffrey M.; Rucklidge, Julia J.; Powers, Robyn L.; Miller, Carlin J.; Newcorn, Jeffrey H.

2010-01-01

Background To assess the late adolescent psychiatric outcomes associated with a positive Child Behavior Checklist – Juvenile Bipolar Disorder Phenotype (CBCL-JBD) in children diagnosed with ADHD and followed over a 9-year period. Methods Parents of 152 children diagnosed as ADHD (ages 7–11 years) completed the CBCL. Ninety of these parents completed it again 9 years later as part of a comprehensive evaluation of Axis I and II diagnoses as assessed using semi-structured interviews. As previously proposed, the CBCL-JBD phenotype was defined as T-scores of 70 or greater on the Attention Problems, Aggression, and Anxiety/Depression subscales. Results The CBCL-JBD phenotype was found in 31% of those followed but only 4.9% of the sample continued to meet the phenotype criteria at follow up. Only two of the sample developed Bipolar Disorder by late adolescence and only one of those had the CBCL-JBD profile in childhood. The proxy did not predict any Axis I disorders. However, the CBCL-JBD proxy was highly predictive of later personality disorders. Limitations Only a subgroup of the original childhood sample was followed. Given this sample was confined to children with ADHD, it is not known whether the prediction of personality disorders from CBCL scores would generalize to a wider community or clinical population Conclusions A positive CBCL-JBD phenotype profile in childhood does not predict Axis I Disorders in late adolescence; however, it may be prognostic of the emergence of personality disorders. PMID:21056910

Life stress and mental disorders in the South African Stress and Health study

PubMed Central

Seedat, Soraya; Stein, Dan J; Jackson, Pamela B; Heeringa, Steven G; Williams, David R; Myer, Landon

2011-01-01

Background Although stressful life events (SLEs) are associated with psychopathology, the contribution from distal and proximal events and the specificity of their association with common mental disorders require further exploration. We examined the association of recent life events and past adversities to mood, anxiety, substance use and impulse control disorders in South Africa. Methods Data were analysed from the South African Stress and Health study, a population-based study of mental disorders in a nationally representative sample of 4 351 adults. Psychiatric disorders were assessed with the Composite International Diagnostic Interview (CIDI). This included questions covering early and later SLEs (negative life events, relationship stress, partner violence, social strain and adverse events during childhood) and various socio-demographic variables. Logistic regression models were constructed for 3 957 respondents (2 371 female, 1 586 male) with no missing covariate data, to assess life stress and socio-demographic predictors of 12-month and lifetime disorder. Results Recent negative life events and relationship problems were significant predictors of any 12-month disorder and any lifetime disorder. Physical partner violence predicted any lifetime disorder. There was evidence of specificity for the prediction of mood versus anxiety disorders, with childhood adversity specifically associated with mood disorders but not anxiety disorders. Single marital status was the strongest socio-demographic predictor of any 12-month and any lifetime disorder. Conclusions Stressful life events, distal and proximal, contribute significantly and independently to the prediction of major psychiatric disorders among South Africans, underscoring the importance of screening adversities in adults with common mental disorders, and of providing appropriate adjunctive interventions. PMID:19588801

Correlates Associated with Unipolar Depressive Disorders in a Latino Population

PubMed Central

Correa-Fernandez, Virmarie; Carrión-Baralt, José R.; Alegría, Margarita; Albizu-García, Carmen E.

2014-01-01

Background This study reports the comparison and associations of demographic, clinical, and psychosocial correlates with three unipolar depressive disorders: dysthymia (DYS), major depression (MD), and double depression (DD), and examines to which extent these variables predict the disorders. Sampling and Method Previously collected data from 563 adults from a community in Puerto Rico were analyzed. One hundred and thirty individuals with DYS, 260 with MD, and 173 with DD were compared by demographic variables, psychiatric and physical comorbidity, familial psychopathology, psychosocial stressors, functional impairment, self-reliance, problem recognition and formal use of mental health services. Multinomial regression was used to assess the association of the predictor variables with each of the three disorders. Results Similarities outweighed the discrepancies between disorders. The main differences observed were between MD and DD, while DYS shared common characteristics with both MD and DD. After other variables were controlled, anxiety, functional impairment, and problem recognition most strongly predicted a DD diagnosis while age predicted a DYS diagnosis. Conclusion MD, DYS, and DD are not completely different disorders but they do differ in key aspects that might be relevant for nosology, research, and practice. A dimensional system that incorporates specific categories of disorders would better reflect the different manifestations of unipolar depressive disorders. PMID:23006435

Prediction of 7-year psychopathology from mother-infant joint attention behaviours: a nested case–control study

PubMed Central

2013-01-01

Background To investigate whether later diagnosis of psychiatric disorder can be predicted from analysis of mother-infant joint attention (JA) behaviours in social-communicative interaction at 12 months. Method Using data from a large contemporary birth cohort, we examined 159 videos of a mother-infant interaction for joint attention behaviour when children were aged one year, sampled from within the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort. Fifty-three of the videos involved infants who were later considered to have a psychiatric disorder at seven years and 106 were same aged controls. Psychopathologies included in the case group were disruptive behaviour disorders, oppositional-conduct disorder, attention-deficit/hyperactivity disorder, pervasive development disorder, anxiety and depressive disorders. Psychiatric diagnoses were obtained using the Development and Wellbeing Assessment when the children were seven years old. Results None of the three JA behaviours (shared look rate, shared attention rate and shared attention intensity) showed a significant association with the primary outcome of case–control status. Only shared look rate predicted any of the exploratory sub-diagnosis outcomes and was found to be positively associated with later oppositional-conduct disorders (OR [95% CI]: 1.5 [1.0, 2.3]; p = 0.041). Conclusions JA behaviours did not, in general, predict later psychopathology. However, shared look was positively associated with later oppositional-conduct disorders. This suggests that some features of JA may be early markers of later psychopathology. Further investigation will be required to determine whether any JA behaviours can be used to screen for families in need of intervention. PMID:24063312

Temperament clusters associate with anxiety disorder comorbidity in depression.

PubMed

Paavonen, Vesa; Luoto, Kaisa; Lassila, Antero; Leinonen, Esa; Kampman, Olli

2018-08-15

Individual temperament is associated with psychiatric morbidity and could explain differences in psychiatric comorbidities. We investigated the association of temperament profile clusters with anxiety disorder comorbidity in patients with depression. We assessed the temperament of 204 specialized care-treated depressed patients with the Temperament and Character Inventory (TCI-R) and their diagnoses with the Mini International Neuropsychiatric Interview. Two-step cluster analysis was used for defining patients' temperament profiles and logistic regression analysis was used for predicting different anxiety disorders for various temperament profiles. Four temperament clusters were found: 1) Novelty seekers with highest Novelty Seeking scores (n = 56),2) Persistent with highest Persistence scores (n = 36), 3) Reserved with lowest Novelty Seeking scores (n = 66) and 4) Wearied with highest Harm avoidance, lowest Reward Dependence and lowest Persistence scores (n = 58). After adjusting for clinical variables, panic disorder and/or agoraphobia were predicted by Novelty seekers' temperament profile with odds ratio [OR] = 3.5 (95% confidence interval [CI] = 1.8 - 6.9, p < 0.001), social anxiety disorder was predicted by Wearied temperament profile with OR = 3.4 (95% CI = 1.6 - 7.5, p = 0.002), and generalized anxiety disorder was predicted by Reserved temperament profile with OR = 2.6 (95% CI = 1.2 - 5.3, p = 0.01). The patients' temperament profiles were assessed while displaying depressive symptoms, which may have affected results. Temperament clusters with unique dimensional profiles were specifically associated with different anxiety disorders in this study. These results suggest that TCI-R could offer a valuable dimensional method for predicting the risk of anxiety disorders in diverse depressed patients. Copyright © 2018 Elsevier B.V. All rights reserved.

Association of testosterone levels and future suicide attempts in females with bipolar disorder

PubMed Central

Sher, Leo; Grunebaum, Michael F.; Sullivan, Gregory M.; Burke, Ainsley K.; Cooper, Thomas B.; Mann, J. John; Oquendo, Maria A.

2015-01-01

Background Considerable evidence suggests that testosterone may play a role in the pathophysiology of mood disorders in females. This is the first prospective study to examine whether blood testosterone levels predict suicide attempts in females with bipolar disorder. Methods Females with a DSM-IV diagnosis of a bipolar disorder in a depressive or mixed episode with at least one past suicide attempt were enrolled. Demographic and clinical parameters were assessed and recorded. Plasma testosterone was assayed using a double antibody radioimmunoassay procedure. Patients were followed up prospectively for up to 2.5 years. Results At baseline, testosterone levels positively correlated with the number of previous major depressive episodes and suicide attempts. Cox proportional hazards regression analysis found that higher baseline testosterone levels predicted suicide attempts during the follow-up period. Limitations A limitation of the study is that the sample size is modest. Another limitation is that we did not have a bipolar nonattempter or healthy volunteer control group for comparison. Conclusion Testosterone levels may predict suicidal behavior in women with bipolar disorder. PMID:25012416

Antisocial Behavioral Syndromes and Three-Year Quality of Life Outcomes in United States Adults

PubMed Central

Goldstein, Risë B.; Dawson, Deborah A.; Smith, Sharon M.; Grant, Bridget F.

2013-01-01

Objective To examine 3-year quality-of-life (QOL) outcomes among United States adults with Diagnostic and Statistical Manual of Mental Disorders – Fourth Edition (DSM-IV) antisocial personality disorder (ASPD), syndromal adult antisocial behavior without conduct disorder (CD) before age 15 (AABS, not a DSM-IV diagnosis), or no antisocial behavioral syndrome at baseline. Method Face-to-face interviews (n= 34,653). Psychiatric disorders were assessed using the Alcohol Use Disorder and Associated Disabilities Interview Schedule – DSM-IV Version. Health-related QOL was assessed using the Short-Form 12-Item Health Survey, version 2 (SF-12v2). Other outcomes included past-year Perceived Stress Scale-4 (PSS-4) scores, employment, receipt of Supplemental Security Income (SSI), welfare, and food stamps, and participation in social relationships. Results ASPD and AABS predicted poorer employment, financial dependency, social relationship, and physical health outcomes. Relationships of antisociality to SSI and food stamp receipt and physical health scales were modified by baseline age. Both antisocial syndromes predicted higher PSS-4, AABS predicted lower SF-12v2 Vitality, and ASPD predicted lower SF-12v2 Social Functioning scores in women. Conclusion Similar prediction of QOL by ASPD and AABS suggests limited utility of requiring CD before age 15 to diagnose ASPD. Findings underscore the need to improve prevention and treatment of antisocial syndromes. PMID:22375904

Investigation of time-dependent risk of mental disorders after infertility diagnosis, through survival analysis and data mining: a nationwide cohort study.

PubMed

Wang, Jong-Yi; Chen, Jen-De; Huang, Chun-Chi; Liu, Chiu-Shong; Chung, Tsai-Fang; Hsieh, Ming-Hong; Wang, Chia-Woei

2018-06-01

Infertile patients are vulnerable to mental disorders. However, a time-dependent model predicting the onset of mental disorders specific to infertile patients is lacking. This study examined the risk factors for the development of mental disorders in infertile patients and measured the duration until the occurrence of mental disorders after a diagnosis of infertility. A total of 13,317 infertile patients in the 2002-2013 Taiwan National Health Insurance Research Database were observed. The 11 independent variables included in the hypothesised model, together with the dates of infertility and mental disorder diagnoses, were analysed using Cox proportional hazards. Data-mining methods using C5.0 and Apriori supplemented the statistical analyses. The total prevalence rate of mental disorders among infertile patients in Taiwan was 12.41%, including anxiety (4.66%), depression (1.81%) and other mental disorders (5.94%). The average time interval for onset of mental illness identified using survival analysis was 1.67 years. Income, occupation, treatment method, co-morbidity, region and hospital level and ownership were significant predictors of development of mental illness (all p < .05). The four categories of factors associated with time-dependent onset were demographics, health, health care provider and geographical characteristics. Certain patient characteristics may predict a higher likelihood of onset of a specific mental disorder. Clinical practitioners may use the findings to identify high-risk patients and make timely health interventions.

Prospective study of risk factors for suicidal behavior in individuals with anxiety disorders.

PubMed

Uebelacker, L A; Weisberg, R; Millman, M; Yen, S; Keller, M

2013-07-01

Anxiety disorders are very common and increase risk for suicide attempts. Little is known about predictors of increased risk specifically among individuals with anxiety disorders. The purpose of this study was to investigate whether specific anxiety disorders and other co-morbid psychiatric disorders, physical health, or work or social functioning increased the future likelihood of a suicide attempts among individuals with anxiety disorders. Method In this prospective study, 676 individuals with an anxiety disorder were followed for an average of 12 years. As hypothesized, we found that post-traumatic stress disorder, major depressive disorder (MDD), intermittent depressive disorder (IDD), epilepsy, pain, and poor work and social functioning all predicted a shorter time to a suicide attempt in univariate analyses. In multivariate analyses, baseline MDD and IDD were independent predictors of time to suicide attempt, even when controlling for a past history of suicide attempt. No specific anxiety disorder was an independent predictor of time to attempt in this anxiety-disordered sample. Adding baseline physical health variables and social functioning did not improve the ability of the model to predict time to suicide attempt. Mood disorders and past history of suicide attempts are the most powerful predictors of a future suicide attempt in this sample of individuals, all of whom have an anxiety disorder.

Perceived Criticism Predicts Outcome of Psychotherapy for Panic Disorder: Replication and Extension

PubMed Central

Chambless, Dianne L.; Allred, Kelly M.; Chen, Fang Fang; McCarthy, Kevin S.; Milrod, Barbara; Barber, Jacques P.

2016-01-01

Objective We tested the relation of perceived criticism from a parent or spouse/romantic partner to outcome of psychotherapy for panic disorder. Method Participants were 130 patients with panic disorder (79% with agoraphobia) who received 24 twice weekly sessions of Panic-Focused Psychodynamic Psychotherapy, Cognitive-Behavioral Therapy, or Applied Relaxation Therapy. Patients were predominantly White (75%), female (64%), and non-Hispanic (85%). At baseline, Week 5 of treatment, termination, and at 6- and 12-month follow-up, patients rated perceived criticism from the relative with whom they lived. Independent evaluators assessed the severity of panic disorder at baseline, Weeks 1, 5, and 9 of treatment, termination, and the two follow-up points. Data were analyzed with piecewise (treatment phase, follow-up phase) latent growth curve modeling. Results The latent intercept for perceived criticism at baseline predicted the latent slope for panic severity in the follow-up (p = .04) but not the active treatment phase (p = .50). In contrast, the latent intercept for panic disorder severity at baseline did not predict the latent slope on perceived criticism in either phase (ps ≥ .29). Nor did the slopes of perceived criticism and panic disorder severity covary across treatment (p = .31) or follow-up (p =.13). Indeed, perceived criticism did not change significantly across treatment (p =.45), showing the stability of this perception regardless of significant change in severity of patients’ panic disorder (p < .001). Conclusions Because perceived criticism predicts worse long-term treatment outcome for panic disorder, study findings argue for interventions to address perceived criticism in treatment. PMID:28045286

Do patterns of change during treatment for panic disorder predict future panic symptoms?

PubMed Central

Steinman, Shari A.; Hunter, Michael D.; Teachman, Bethany A.

2012-01-01

Background and Objectives Cognitive-behavioral therapies are currently the gold standard for panic disorder treatment, with well-documented treatment response. However, following interventions, some individuals continue to improve, while others experience a return of symptoms. The field lacks reliable ways to predict follow-up symptomology. In the current study, a cluster analysis with a repeated measures design was conducted to examine change patterns over 12 weeks of cognitive behavioral group therapy for panic disorder. The central aim of the study was to evaluate if change patterns predict level of panic symptom severity at a six month follow-up in this sample. Methods Individuals with panic disorder (N = 36) completed a measure of panic symptoms (Panic Disorder Severity Scale) at the outset of every therapy session and at a six month follow-up. Results Results revealed three patterns of change in this specific trial, which significantly predicted level of panic symptoms six months post-treatment, beyond initial or final level of panic symptoms, and beyond total symptom change. Limitations Given the relatively small, lab-based sample, replications in other settings and samples will be important. Conclusions Overall, results provide initial evidence that change patterns are meaningful predictors of panic symptom severity well after the final session of treatment. PMID:23187115

Modifiable risk factors predicting major depressive disorder at four year follow-up: a decision tree approach.

PubMed

Batterham, Philip J; Christensen, Helen; Mackinnon, Andrew J

2009-11-22

Relative to physical health conditions such as cardiovascular disease, little is known about risk factors that predict the prevalence of depression. The present study investigates the expected effects of a reduction of these risks over time, using the decision tree method favoured in assessing cardiovascular disease risk. The PATH through Life cohort was used for the study, comprising 2,105 20-24 year olds, 2,323 40-44 year olds and 2,177 60-64 year olds sampled from the community in the Canberra region, Australia. A decision tree methodology was used to predict the presence of major depressive disorder after four years of follow-up. The decision tree was compared with a logistic regression analysis using ROC curves. The decision tree was found to distinguish and delineate a wide range of risk profiles. Previous depressive symptoms were most highly predictive of depression after four years, however, modifiable risk factors such as substance use and employment status played significant roles in assessing the risk of depression. The decision tree was found to have better sensitivity and specificity than a logistic regression using identical predictors. The decision tree method was useful in assessing the risk of major depressive disorder over four years. Application of the model to the development of a predictive tool for tailored interventions is discussed.

Prospective, population-based study of the transition from major depressive disorder to bipolar disorder

PubMed Central

Gilman, Stephen E.; Dupuy, Jamie M.; Perlis, Roy H.

2013-01-01

Objective It is currently not possible to determine which individuals with unipolar depression are at highest risk for a manic episode. This study investigates clinical and psychosocial risk factors for mania among individuals with major depressive disorder (MDD), indicating diagnostic conversion from MDD to bipolar I disorder. Methods We fitted logistic regression models to predict the first onset of a manic episode among 6,214 cases of lifetime MDD according to DSM-IV criteria in the National Epidemiologic Survey on Alcohol and Related Conditions. Results Approximately 1 in 20 individuals with MDD transitioned to bipolar disorder during the study's 3-year follow-up period. Demographic risk factors for the transition from MDD to bipolar disorder included younger age, Black race/ethnicity, and less than high school education. Clinical characteristics of depression (e.g., age at first onset, presence of atypical features) were not associated with diagnostic conversion. However, prior psychopathology was associated with the transition to bipolar disorder: history of social phobia (Odds Ratio=2.20; 95% Confidence Interval=1.47, 3.30) and generalized anxiety disorder (OR=1.58; CI=1.06, 2.35). Lastly, we identified environmental stressors over the life course that predicted the transition to bipolar disorder: these include a history of child abuse (OR=1.26; CI=1.12, 1.42) and past-year problems with one's social support group (OR=1.79; CI=1.19, 2.68). The overall predictive power of these risk factors based on a receiver operating curve analysis is modest. Conclusions A wide range of demographic, clinical, and environmental risk factors were identified that indicate a heightened risk for the transition to bipolar disorder. Additional work is needed to further enhance the prediction of bipolar disorder among cases of MDD, and to determine whether interventions targeting these factors could reduce the risk of bipolar disorder. PMID:22394428

Predicting methylphenidate response in attention deficit hyperactivity disorder: a preliminary study.

PubMed

Johnston, Blair A; Coghill, David; Matthews, Keith; Steele, J Douglas

2015-01-01

Methylphenidate (MPH) is established as the main pharmacological treatment for patients with attention deficit hyperactivity disorder (ADHD). Whilst MPH is generally a highly effective treatment, not all patients respond, and some experience adverse reactions. Currently, there is no reliable method to predict how patients will respond, other than by exposure to a trial of medication. In this preliminary study, we sought to investigate whether an accurate predictor of clinical response to methylphenidate could be developed for individual patients, using sociodemographic, clinical and neuropsychological measures. Of the 43 boys with ADHD included in this proof-of-concept study, 30 were classed as responders and 13 as non-responders to MPH, with no significant differences in age nor verbal intelligence quotient (IQ) between the groups. Here we report the application of a multivariate analysis approach to the prediction of clinical response to MPH, which achieved an accuracy of 77% (p = 0.005). The most important variables to the classifier were performance on a 'go/no go' task and comorbid conduct disorder. This preliminary study suggested that further investigation is merited. Achieving a highly significant accuracy of 77% for the prediction of MPH response is an encouraging step towards finding a reliable and clinically useful method that could minimise the number of children needlessly being exposed to MPH. © The Author(s) 2014.

Clusters of Behaviors and Beliefs Predicting Adolescent Depression: Implications for Prevention

PubMed Central

Paunesku, David; Ellis, Justin; Fogel, Joshua; Kuwabara, Sachiko A; Gollan, Jackie; Gladstone, Tracy; Reinecke, Mark; Van Voorhees, Benjamin W.

2009-01-01

OBJECTIVE Risk factors for various disorders are known to cluster. However, the factor structure for behaviors and beliefs predicting depressive disorder in adolescents is not known. Knowledge of this structure can facilitate prevention planning. METHODS We used the National Longitudinal Study of Adolescent Health (AddHealth) data set to conduct an exploratory factor analysis to identify clusters of behaviors/experiences predicting the onset of major depressive disorder (MDD) at 1-year follow-up (N=4,791). RESULTS Four factors were identified: family/interpersonal relations, self-emancipation, avoidant problem solving/low self-worth, and religious activity. Strong family/interpersonal relations were the most significantly protective against depression at one year follow-up. Avoidant problem solving/low self-worth was not predictive of MDD on its own, but significantly amplified the risks associated with delinquency. CONCLUSION Depression prevention interventions should consider giving family relationships a more central role in their efforts. Programs teaching problem solving skills may be most appropriate for reducing MDD risk in delinquent youth. PMID:20502621

Parental Attention-Deficit/Hyperactivity Disorder Predicts Child and Parent Outcomes of Parental Friendship Coaching Treatment

ERIC Educational Resources Information Center

Griggs, Marissa Swaim; Mikami, Amori Yee

2011-01-01

Objective: This study investigated the impact of parental attention-deficit/hyperactivity disorder (ADHD) symptoms on the peer relationships and parent-child interaction outcomes of children with ADHD among families completing a randomized controlled trial of parental friendship coaching (PFC) relative to control families. Method: Participants…

Adolescents' Reported Reasons for Alcohol and Marijuana Use as Predictors of Substance Use and Problems in Adulthood*

PubMed Central

Patrick, Megan E.; Schulenberg, John E.; O'malley, Patrick M.; Johnston, Lloyd D.; Bachman, Jerald G.

2011-01-01

Objective: The aim of this study was to examine how reasons for substance use at age 18 relate to alcohol and marijuana use at ages 18 and 35 and to symptoms of alcohol use disorder and marijuana use disorder at age 35. Method: Bivariate correlation and multivariate regression analyses were conducted to examine the prediction of substance use and misuse by social/recreational, coping with negative affect, compulsive, and drug effect reasons for alcohol and marijuana use. Control variables included gender, race/ethnicity, parent education, and previous substance use (for age 35 outcomes). Results: Social/recreational, coping, and drug effect reasons for drinking predicted symptoms of alcohol use disorder 17 years later. Reasons for marijuana use were generally associated only with concurrent marijuana use; an exception was that drug effect reasons predicted marijuana use disorder at age 35. Conclusions: The long-term longitudinal predictive power of reasons for alcohol use (and, to a lesser extent, for marijuana use) suggests that adolescents' self-reported reasons, in particular those involving regulating emotions and experiences, may be early risk factors for continued use and misuse of substances into adulthood. PMID:21138717

Basic traits predict the prevalence of personality disorder across the life span: the example of psychopathy.

PubMed

Vachon, David D; Lynam, Donald R; Widiger, Thomas A; Miller, Joshua D; McCrae, Robert R; Costa, Paul T

2013-05-01

Personality disorders (PDs) may be better understood in terms of dimensions of general personality functioning rather than as discrete categorical conditions. Personality-trait descriptions of PDs are robust across methods and settings, and PD assessments based on trait measures show good construct validity. The study reported here extends research showing that basic traits (e.g., impulsiveness, warmth, straightforwardness, modesty, and deliberation) can re-create the epidemiological characteristics associated with PDs. Specifically, we used normative changes in absolute trait levels to simulate age-related differences in the prevalence of psychopathy in a forensic setting. Results demonstrated that trait information predicts the rate of decline for psychopathy over the life span; discriminates the decline of psychopathy from that of a similar disorder, antisocial PD; and accurately predicts the differential decline of subfactors of psychopathy. These findings suggest that basic traits provide a parsimonious account of PD prevalence across the life span.

Genome-scale prediction of proteins with long intrinsically disordered regions.

PubMed

Peng, Zhenling; Mizianty, Marcin J; Kurgan, Lukasz

2014-01-01

Proteins with long disordered regions (LDRs), defined as having 30 or more consecutive disordered residues, are abundant in eukaryotes, and these regions are recognized as a distinct class of biologically functional domains. LDRs facilitate various cellular functions and are important for target selection in structural genomics. Motivated by the lack of methods that directly predict proteins with LDRs, we designed Super-fast predictor of proteins with Long Intrinsically DisordERed regions (SLIDER). SLIDER utilizes logistic regression that takes an empirically chosen set of numerical features, which consider selected physicochemical properties of amino acids, sequence complexity, and amino acid composition, as its inputs. Empirical tests show that SLIDER offers competitive predictive performance combined with low computational cost. It outperforms, by at least a modest margin, a comprehensive set of modern disorder predictors (that can indirectly predict LDRs) and is 16 times faster compared to the best currently available disorder predictor. Utilizing our time-efficient predictor, we characterized abundance and functional roles of proteins with LDRs over 110 eukaryotic proteomes. Similar to related studies, we found that eukaryotes have many (on average 30.3%) proteins with LDRs with majority of proteomes having between 25 and 40%, where higher abundance is characteristic to proteomes that have larger proteins. Our first-of-its-kind large-scale functional analysis shows that these proteins are enriched in a number of cellular functions and processes including certain binding events, regulation of catalytic activities, cellular component organization, biogenesis, biological regulation, and some metabolic and developmental processes. A webserver that implements SLIDER is available at http://biomine.ece.ualberta.ca/SLIDER/. Copyright © 2013 Wiley Periodicals, Inc.

A Naturalistic Examination of Social Comparisons and Disordered Eating Thoughts, Urges, and Behaviors in College Women

PubMed Central

Fitzsimmons-Craft, Ellen E.; Ciao, Anna C.; Accurso, Erin C.

2015-01-01

Objective We examined the effects of body, eating, and exercise social comparisons on prospective disordered eating thoughts and urges (i.e., restriction thoughts, exercise thoughts, vomiting thoughts, binge eating urges) and behaviors (i.e., restriction attempts, exercising for weight/shape reasons, vomiting, binge eating) among college women using ecological momentary assessment (EMA). Method Participants were 232 college women who completed a two-week EMA protocol, in which they used their personal electronic devices to answer questions three times per day. Generalized estimating equation models were used to assess body, eating, and exercise comparisons as predictors of disordered eating thoughts, urges, and behaviors at the next report, adjusting for body dissatisfaction, negative affect, and the disordered eating thought/urge/behavior at the prior report, as well as body mass index. Results Body comparisons prospectively predicted more intense levels of certain disordered eating thoughts (i.e., thoughts about restriction and exercise). Eating comparisons prospectively predicted an increased likelihood of subsequent engagement in all disordered eating behaviors examined except vomiting. Exercise comparisons prospectively predicted less intense thoughts about exercise and an increased likelihood of subsequent vomiting. Discussion Social comparisons are associated with later disordered eating thoughts and behaviors in the natural environment and may need to be specifically targeted in eating disorder prevention and intervention efforts. Targeting body comparisons may be helpful in terms of reducing disordered eating thoughts, but eating and exercise comparisons are also important and may need to be addressed in order to decrease engagement in actual disordered eating behaviors. PMID:26610301

Predictors and Moderators of Response to Cognitive Behavioral Therapy and Medication for the Treatment of Binge Eating Disorder

PubMed Central

Grilo, Carlos. M.; Masheb, Robin M.; Crosby, Ross D.

2012-01-01

Objective To examine predictors and moderators of response to cognitive-behavioral therapy (CBT) and medication treatments for binge-eating disorder (BED). Method 108 BED patients in a randomized double-blind placebo-controlled trial testing CBT and fluoxetine treatments were assessed prior, throughout-, and post-treatment. Demographic factors, psychiatric and personality-disorder co-morbidity, eating-disorder psychopathology, psychological features, and two sub-typing methods (negative-affect, overvaluation of shape/weight) were tested as predictors and moderators for the primary outcome of remission from binge-eating and four secondary dimensional outcomes (binge-eating frequency, eating-disorder psychopathology, depression, and body mass index). Mixed-effects-models analyzed all available data for each outcome variable. In each model, effects for baseline value and treatment were included with tests of both prediction and moderator effects. Results Several demographic and clinical variables significantly predicted and/or moderated outcomes. One demographic variable signaled a statistical advantage for medication-only (younger participants had greater binge-eating reductions) whereas several demographic and clinical variables (lower self-esteem, negative-affect, and overvaluation of shape/weight) signaled better improvements if receiving CBT. Overvaluation was the most salient predictor/moderator of outcomes. Overvaluation significantly predicted binge-eating remission (29% of participants with versus 57% of participants without overvaluation remitted). Overvaluation was especially associated with lower remission rates if receiving medication-only (10% versus 42% for participants without overvaluation). Overvaluation moderated dimensional outcomes: participants with overvaluation had significantly greater reductions in eating-disorder psychopathology and depression levels if receiving CBT. Overvaluation predictor/moderator findings persisted after controlling for negative-affect. Conclusions Our findings have clinical utility for prescription of CBT and medication and implications for refinement of the BED diagnosis. PMID:22289130

Do Executive Function Deficits Predict Later Substance Use Disorders among Adolescents and Young Adults?

ERIC Educational Resources Information Center

Wilens, Timothy E.; Martelon, MaryKate; Fried, Ronna; Petty, Carter; Bateman, Clancey; Biederman, Joseph

2011-01-01

Objective: There is increasing interest regarding the risk and overlap of executive function deficits (EFDs) in stable cigarette smoking and substance use disorders (SUD). Therefore, we examined whether earlier EFD was a risk factor for subsequent cigarette smoking and SUD and further explored the relationship between EFD and SUD. Method: We…

Patient Adherence Predicts Outcome from Cognitive Behavioral Therapy in Obsessive-Compulsive Disorder

ERIC Educational Resources Information Center

Simpson, Helen Blair; Maher, Michael J.; Wang, Yuanjia; Bao, Yuanyuan; Foa, Edna B.; Franklin, Martin

2011-01-01

Objective: To examine the effects of patient adherence on outcome from exposure and response prevention (EX/RP) therapy in adults with obsessive-compulsive disorder (OCD). Method: Thirty adults with OCD were randomized to EX/RP (n = 15) or EX/RP augmented by motivational interviewing strategies (n = 15). Both treatments included 3 introductory…

Phonological Awareness and Types of Sound Errors in Preschoolers with Speech Sound Disorders

ERIC Educational Resources Information Center

Preston, Jonathan; Edwards, Mary Louise

2010-01-01

Purpose: Some children with speech sound disorders (SSD) have difficulty with literacy-related skills, particularly phonological awareness (PA). This study investigates the PA skills of preschoolers with SSD by using a regression model to evaluate the degree to which PA can be concurrently predicted by types of speech sound errors. Method:…

The Predictors of Distress in Parents of Children with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Firth, Ian; Dryer, Rachel

2013-01-01

Background: It is well recognised that parents of children with autism spectrum disorder (ASD) often experience clinically significant levels of stress and depression. This study examined which ASD characteristic best predicted parental distress. Method: Parents of 109 children aged between 4 and 12 (M age = 7.89, SD = 2.43) completed self-report…

Family Factors Predict Treatment Outcome for Pediatric Obsessive-Compulsive Disorder

ERIC Educational Resources Information Center

Peris, Tara S.; Sugar, Catherine A.; Bergman, R. Lindsey; Chang, Susanna; Langley, Audra; Piacentini, John

2012-01-01

Objective: To examine family conflict, parental blame, and poor family cohesion as predictors of treatment outcome for youths receiving family-focused cognitive behavioral therapy (FCBT) for obsessive-compulsive disorder (OCD). Method: We analyzed data from a sample of youths who were randomized to FCBT (n = 49; 59% male; M age = 12.43 years) as…

Early Anxious/Withdrawn Behaviours Predict Later Internalising Disorders

ERIC Educational Resources Information Center

Goodwin, Renee D.; Fergusson, David M.; Horwood, L. John

2004-01-01

Background: The aim of the study was to examine the association between anxious/withdrawn behaviours at age 8 and the development of internalising disorders in adolescence and young adulthood (ages 16-21). Methods: Data were gathered over the course of a 21-year longitudinal study of a birth cohort of over 1,000 New-Zealand-born young people. Over…

Exploring the predictive power of polygenic scores derived from genome-wide association studies: a study of 10 complex traits.

PubMed

So, Hon-Cheong; Sham, Pak C

2017-03-15

It is hoped that advances in our knowledge in disease genomics will contribute to personalized medicine such as individualized preventive strategies or early diagnoses of diseases. With the growth of genome-wide association studies (GWAS) in the past decade, how far have we reached this goal? In this study we explored the predictive ability of polygenic risk scores (PRSs) derived from GWAS for a range of complex disease and traits. We first proposed a new approach to evaluate predictive performances of PRS at arbitrary P -value thresholds. The method was based on corrected estimates of effect sizes, accounting for possible false positives and selection bias. This approach requires no distributional assumptions and only requires summary statistics as input. The validity of the approach was verified in simulations. We explored the predictive power of PRS for ten complex traits, including type 2 diabetes (DM), coronary artery disease (CAD), triglycerides, high- and low-density lipoprotein, total cholesterol, schizophrenia (SCZ), bipolar disorder (BD), major depressive disorder and anxiety disorders. We found that the predictive ability of PRS for CAD and DM were modest (best AUC = 0.608 and 0.607) while for lipid traits the prediction R-squared ranged from 16.1 to 29.8%. For psychiatric disorders, the predictive power for SCZ was estimated to be the highest (best AUC 0.820), followed by BD. Predictive performance of other psychiatric disorders ranged from 0.543 to 0.585. Psychiatric traits tend to have more gradual rise in AUC when significance thresholds increase and achieve the best predictive power at higher P -values than cardiometabolic traits. hcso@cuhk.edu.hk ; pcsham@hku.hk. Supplementary data are available at Bioinformatics online. © The Author 2016. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com

Modeling disordered protein interactions from biophysical principles

PubMed Central

Christoffer, Charles; Terashi, Genki

2017-01-01

Disordered protein-protein interactions (PPIs), those involving a folded protein and an intrinsically disordered protein (IDP), are prevalent in the cell, including important signaling and regulatory pathways. IDPs do not adopt a single dominant structure in isolation but often become ordered upon binding. To aid understanding of the molecular mechanisms of disordered PPIs, it is crucial to obtain the tertiary structure of the PPIs. However, experimental methods have difficulty in solving disordered PPIs and existing protein-protein and protein-peptide docking methods are not able to model them. Here we present a novel computational method, IDP-LZerD, which models the conformation of a disordered PPI by considering the biophysical binding mechanism of an IDP to a structured protein, whereby a local segment of the IDP initiates the interaction and subsequently the remaining IDP regions explore and coalesce around the initial binding site. On a dataset of 22 disordered PPIs with IDPs up to 69 amino acids, successful predictions were made for 21 bound and 18 unbound receptors. The successful modeling provides additional support for biophysical principles. Moreover, the new technique significantly expands the capability of protein structure modeling and provides crucial insights into the molecular mechanisms of disordered PPIs. PMID:28394890

Affect systems, changes in body mass index, disordered eating and stress: an 18-month longitudinal study in women

PubMed Central

Kupeli, N.; Norton, S.; Chilcot, J.; Campbell, I. C.; Schmidt, U. H.; Troop, N. A.

2017-01-01

ABSTRACT Background: Evidence suggests that stress plays a role in changes in body weight and disordered eating. The present study examined the effect of mood, affect systems (attachment and social rank) and affect regulatory processes (self-criticism, self-reassurance) on the stress process and how this impacts on changes in weight and disordered eating. Methods: A large sample of women participated in a community-based prospective, longitudinal online study in which measures of body mass index (BMI), disordered eating, perceived stress, attachment, social rank, mood and self-criticism/reassurance were measured at 6-monthly intervals over an 18-month period. Results: Latent Growth Curve Modelling showed that BMI increased over 18 months while stress and disordered eating decreased and that these changes were predicted by high baseline levels of these constructs. Independently of this, however, increases in stress predicted a reduction in BMI which was, itself, predicted by baseline levels of self-hatred and unfavourable social comparison. Conclusions: This study adds support to the evidence that stress is important in weight change. In addition, this is the first study to show in a longitudinal design, that social rank and self-criticism (as opposed to self-reassurance) at times of difficulty predict increases in stress and, thus, suggests a role for these constructs in weight regulation. PMID:28553564

Relationship between hypnosis and personality trait in participants with high or low hypnotic susceptibility

PubMed Central

Zhang, Yingchun; Wang, Yunke; Shen, Chanchan; Ye, Yingying; Shen, Si; Zhang, Bingren; Wang, Jiawei; Chen, Wei; Wang, Wei

2017-01-01

Background The relationship between normal personality and hypnotic susceptibility is important for understanding mental processing and mental disorders, but it is less consistent in normal people or in patients with a psychiatric disorder. We have hypothesized that the correlation exists but varies in individuals with different levels of hypnotizability. Participants and methods We invited 72 individuals with high (HIGH group) and 47 individuals with low (LOW group) hypnotic susceptibilities to undertake tests of NEO-PI-R and the Stanford Hypnotic Susceptibility Scale, Form C (SHSSC). Results The HIGH group scored significantly higher than the LOW group did on openness to experience and its facet openness to feelings. In the LOW group, SHSSC total was positively predicted by openness to ideas; age regression was positively predicted by openness to experience and negatively predicted by extraversion; anosmia to ammonia was negatively predicted by agreeableness; and negative visual hallucination was positively predicted by openness to experience. In the HIGH group, hallucinated voice was positively predicted by openness to experience and negatively predicted by agreeableness, and posthypnotic amnesia was positively predicted by extraversion and negatively predicted by openness to experience. Conclusion The associations between normal personality traits and hypnotic susceptibility items were weak and different in the two groups, which imply that managing mental or somatoform disorders might be through adjusting hypnotizability and mobilizing personality functions. PMID:28435270

Telemonitoring with respect to Mood Disorders and Information and Communication Technologies: Overview and Presentation of the PSYCHE Project

PubMed Central

Javelot, Hervé; Spadazzi, Anne; Weiner, Luisa; Garcia, Sonia; Gentili, Claudio; Kosel, Markus; Bertschy, Gilles

2014-01-01

This paper reviews what we know about prediction in relation to mood disorders from the perspective of clinical, biological, and physiological markers. It then also presents how information and communication technologies have developed in the field of mood disorders, from the first steps, for example, the transition from paper and pencil to more sophisticated methods, to the development of ecological momentary assessment methods and, more recently, wearable systems. These recent developments have paved the way for the use of integrative approaches capable of assessing multiple variables. The PSYCHE project stands for Personalised monitoring SYstems for Care in mental HEalth. PMID:25050321

Telemonitoring with respect to mood disorders and information and communication technologies: overview and presentation of the PSYCHE project.

PubMed

Javelot, Hervé; Spadazzi, Anne; Weiner, Luisa; Garcia, Sonia; Gentili, Claudio; Kosel, Markus; Bertschy, Gilles

2014-01-01

This paper reviews what we know about prediction in relation to mood disorders from the perspective of clinical, biological, and physiological markers. It then also presents how information and communication technologies have developed in the field of mood disorders, from the first steps, for example, the transition from paper and pencil to more sophisticated methods, to the development of ecological momentary assessment methods and, more recently, wearable systems. These recent developments have paved the way for the use of integrative approaches capable of assessing multiple variables. The PSYCHE project stands for Personalised monitoring SYstems for Care in mental HEalth.

An Expert System for Diagnosis of Sleep Disorder Using Fuzzy Rule-Based Classification Systems

NASA Astrophysics Data System (ADS)

Septem Riza, Lala; Pradini, Mila; Fitrajaya Rahman, Eka; Rasim

2017-03-01

Sleep disorder is an anomaly that could cause problems for someone’ sleeping pattern. Nowadays, it becomes an issue since people are getting busy with their own business and have no time to visit the doctors. Therefore, this research aims to develop a system used for diagnosis of sleep disorder using Fuzzy Rule-Based Classification System (FRBCS). FRBCS is a method based on the fuzzy set concepts. It consists of two steps: (i) constructing a model/knowledge involving rulebase and database, and (ii) prediction over new data. In this case, the knowledge is obtained from experts whereas in the prediction stage, we perform fuzzification, inference, and classification. Then, a platform implementing the method is built with a combination between PHP and the R programming language using the “Shiny” package. To validate the system that has been made, some experiments have been done using data from a psychiatric hospital in West Java, Indonesia. Accuracy of the result and computation time are 84.85% and 0.0133 seconds, respectively.

Use of a machine learning framework to predict substance use disorder treatment success

PubMed Central

Kelmansky, Diana; van der Laan, Mark; Sahker, Ethan; Jones, DeShauna; Arndt, Stephan

2017-01-01

There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed. PMID:28394905

Use of a machine learning framework to predict substance use disorder treatment success.

PubMed

Acion, Laura; Kelmansky, Diana; van der Laan, Mark; Sahker, Ethan; Jones, DeShauna; Arndt, Stephan

2017-01-01

There are several methods for building prediction models. The wealth of currently available modeling techniques usually forces the researcher to judge, a priori, what will likely be the best method. Super learning (SL) is a methodology that facilitates this decision by combining all identified prediction algorithms pertinent for a particular prediction problem. SL generates a final model that is at least as good as any of the other models considered for predicting the outcome. The overarching aim of this work is to introduce SL to analysts and practitioners. This work compares the performance of logistic regression, penalized regression, random forests, deep learning neural networks, and SL to predict successful substance use disorders (SUD) treatment. A nationwide database including 99,013 SUD treatment patients was used. All algorithms were evaluated using the area under the receiver operating characteristic curve (AUC) in a test sample that was not included in the training sample used to fit the prediction models. AUC for the models ranged between 0.793 and 0.820. SL was superior to all but one of the algorithms compared. An explanation of SL steps is provided. SL is the first step in targeted learning, an analytic framework that yields double robust effect estimation and inference with fewer assumptions than the usual parametric methods. Different aspects of SL depending on the context, its function within the targeted learning framework, and the benefits of this methodology in the addiction field are discussed.

The impact of machine learning techniques in the study of bipolar disorder: A systematic review.

PubMed

Librenza-Garcia, Diego; Kotzian, Bruno Jaskulski; Yang, Jessica; Mwangi, Benson; Cao, Bo; Pereira Lima, Luiza Nunes; Bermudez, Mariane Bagatin; Boeira, Manuela Vianna; Kapczinski, Flávio; Passos, Ives Cavalcante

2017-09-01

Machine learning techniques provide new methods to predict diagnosis and clinical outcomes at an individual level. We aim to review the existing literature on the use of machine learning techniques in the assessment of subjects with bipolar disorder. We systematically searched PubMed, Embase and Web of Science for articles published in any language up to January 2017. We found 757 abstracts and included 51 studies in our review. Most of the included studies used multiple levels of biological data to distinguish the diagnosis of bipolar disorder from other psychiatric disorders or healthy controls. We also found studies that assessed the prediction of clinical outcomes and studies using unsupervised machine learning to build more consistent clinical phenotypes of bipolar disorder. We concluded that given the clinical heterogeneity of samples of patients with BD, machine learning techniques may provide clinicians and researchers with important insights in fields such as diagnosis, personalized treatment and prognosis orientation. Copyright © 2017 Elsevier Ltd. All rights reserved.

Behavioral activation and inhibition system's role in predicting addictive behaviors of patients with bipolar disorder of Roozbeh Psychiatric Hospital

PubMed Central

Abbasi, Moslem; Sadeghi, Hasan; Pirani, Zabih; Vatandoust, Leyla

2016-01-01

Background: Nowadays, prevalence of addictive behaviors among bipolar patients is considered to be a serious health threat by the World Health Organization. The aim of this study is to investigate the role of behavioral activation and inhibition systems in predicting addictive behaviors of male patients with bipolar disorder at the Roozbeh Psychiatric Hospital. Materials and Methods: The research method used in this study is correlation. The study population consisted of 80 male patients with bipolar disorder referring to the psychiatrics clinics of Tehran city in 2014 who were referred to the Roozbeh Psychiatric Hospital. To collect data, the international and comprehensive inventory diagnostic interview, behavioral activation and inhibition systems scale, and addictive behaviors scale were used. Results: The results showed that there is a positive and significant relationship between behavioral activation systems and addictive behaviors (addictive eating, alcohol addiction, television addiction, cigarette addiction, mobile addiction, etc.). In addition, correlation between behavioral inhibition systems and addictive behaviors (addictive eating, alcohol addiction, TV addiction, cigarette addiction, mobile addiction) is significantly negative. Finally, regression analysis showed that behavioral activation and inhibition systems could significantly predict 47% of addictive behaviors in patients with bipolar disorder. Conclusions: It can be said that the patients with bipolar disorder use substance and addictive behaviors for enjoyment and as pleasure stimulants; they also use substances to suppress unpleasant stimulants and negative emotions. These results indicate that behavioral activation and inhibition systems have an important role in the incidence and exacerbation of addictive behaviors. Therefore, preventive interventions in this direction seem to be necessary. PMID:28194203

Promoting homework adherence in cognitive-behavioral therapy for adolescent depression.

PubMed

Jungbluth, Nathaniel J; Shirk, Stephen R

2013-01-01

This study used prospective, observational methods to evaluate six features of therapist behavior as predictors of homework adherence in cognitive-behavioral therapy for adolescent depression, with the goal of identifying therapist strategies with the potential to improve adolescent adherence. Therapist behaviors were expected to interact with initial levels of client resistance or adherence to predict subsequent homework completion. Participants were 50 referred adolescents (33 female, 54% ethnic minority) ages 14 to 18 (M = 15.9) meeting diagnostic criteria for a depressive disorder, and without comorbid psychotic disorder, bipolar disorder, autism spectrum disorder, intellectual disability, or concurrent treatments. Therapist homework-related behaviors were coded from audiotapes of Sessions 1 and 2 and used to predict adolescents' homework adherence, coded from audiotapes of Sessions 2 and 3. Several therapist behaviors were predictive of subsequent homework adherence, particularly for initially resistant or nonadherent adolescents. Stronger homework rationale and greater time allocated to explaining homework in Session 1 predicted greater adherence at Session 2, particularly for initially resistant adolescents. Stronger rationale and eliciting reactions/troubleshooting obstacles in Session 2 predicted greater adherence at Session 3, particularly for adolescents who were less adherent to prior homework. Strategies such as providing a strong rationale, allocating more time to assigning homework, and eliciting reactions/troubleshooting obstacles may be effective ways to bolster homework adherence among initially less engaged, depressed teens.

Which Childhood and Adolescent Psychiatric Disorders predict which Young Adult Disorders?

PubMed Central

Copeland, William E.; Shanahan, Lilly; Costello, E. Jane; Angold, Adrian

2009-01-01

Context Most adults with a psychiatric disorder first met diagnostic criteria during childhood and/or adolescence, yet specific homotypic and heterotypic patterns of prediction have not been firmly established. Objective To establish which childhood and adolescent psychiatric disorders predict particular young adult disorders when accounting for comorbidities, disaggregating similar disorders, and examining childhood and adolescent predictors separately. Design/Setting/Patients Eleven waves of data from the prospective population-based Great Smoky Mountains Study (N = 1,420) were used, covering children in the community ages 9−16, 19, and 21 years old. Outcome Common psychiatric disorders were assessed in childhood (ages 9 to 12) and adolescence (ages 13 to 16) with the Child and Adolescent Psychiatric Assessment, and in young adulthood (ages 19 and 21) with the Young Adult Psychiatric Assessment. Results Adolescent depression significantly predicted young adult depression in the bivariate analysis, but this effect was entirely accounted for by comorbidity of adolescent depression with adolescent oppositional defiant disorder, anxiety and substance disorders in adjusted analyses. Generalized anxiety and depression cross-predicted each other, and oppositional defiant disorder (but not conduct disorder) predicted later anxiety disorders and depression. Evidence of homotypic prediction was supported for substance use disorders, antisocial personality disorder (from conduct disorder) and anxiety disorders, although this effect was primary accounted for by DSM-III-R overanxious disorder. Conclusions Stringent tests of homotypic and heterotypic prediction patterns suggest a more developmentally and diagnostically nuanced picture in comparison with the previous literature. The putative link between adolescent and young adult depression was not supported. Oppositional defiant disorder was singular in being part of the developmental history of a wide range of young adult disorders. PMID:19581568

The association between parental mental health and behavioral disorders in pre-school children

PubMed Central

Karimzadeh, Mansoureh; Rostami, Mohammad; Teymouri, Robab; Moazzen, Zahra; Tahmasebi, Siyamak

2017-01-01

Background and Aim Behavioral disorders among children reflect psychological problems of parents, as mental illness of either parent would increase the likelihood of mental disorder in the child. In view of the negative relationship between parents’ and children’s illness, the current study intended to determine the correlation between mental health of parents and behavioral disorders of pre-school children. Methods The present descriptive-correlational research studied 80 children registered at pre-school centers in Pardis Township, Tehran, Iran during 2014–2015 using convenience sampling. The research tools included General Health Questionnaire (GHQ) and Preschool Behavior Questionnaire (PBQ). The resulted data were analyzed using Pearson Product-moment Correlation Coefficient and regression analysis in SPSS 21. Results The research results showed that there was a significant positive correlation between all dimensions of mental health of parents with general behavioral disorders (p<0.001). The results of the regression analysis showed that parents’ depression was the first and the only predictive variable of behavioral disorders in children with 26.8% predictive strength. Conclusion Given the strong relationship between children’s behavioral disorders and parents’ general health, and the significant role of parents’ depression in children’s behavioral disorders, it seems necessary to take measures to decrease the impact of parents’ disorders on children. PMID:28848622

Contributions of Morphological Awareness Skills to Word-Level Reading and Spelling in First-Grade Children with and without Speech Sound Disorder

ERIC Educational Resources Information Center

Apel, Kenn; Lawrence, Jessika

2011-01-01

Purpose: In this study, the authors compared the morphological awareness abilities of children with speech sound disorder (SSD) and children with typical speech skills and examined how morphological awareness ability predicted word-level reading and spelling performance above other known contributors to literacy development. Method: Eighty-eight…

Predictors of Secondary Attention-Deficit/Hyperactivity Disorder in Children and Adolescents 6 to 24 Months after Traumatic Brain Injury

ERIC Educational Resources Information Center

Max, Jeffrey E.; Schachar, Russell J.; Levin, Harvey S.; Ewing-Cobbs, Linda; Chapman, Sandra B.; Dennis, Maureen; Saunders, Ann; Landis, Julie

2005-01-01

Objective: To assess the phenomenology and predictive factors of attention-deficit/hyperactivity disorder (ADHD) after traumatic brain injury (TBI), also called secondary ADHD (SADHD). Method: Children without preinjury ADHD 5-14 years old with TBI from consecutive admissions (n = 143) to five trauma centers were observed prospectively from 6 to…

The Obsessive Compulsive Scale of the Child Behavior Checklist Predicts Obsessive-Compulsive Disorder: A Receiver Operating Characteristic Curve Analysis

ERIC Educational Resources Information Center

Hudziak, James J.; Althoff, Robert R.; Stanger, Catherine; van Beijsterveldt, C. E. M.; Nelson, Elliot C.; Hanna, Gregory L.; Boomsma, Dorret I.; Todd, Richard D.

2006-01-01

Background: The purpose of this study was to determine a score on the Obsessive Compulsive Scale (OCS) from the Child Behavior Checklist (CBCL) to screen for obsessive compulsive disorder (OCD) in children and to rigorously test the specificity and sensitivity of a single cutpoint. Methods: A receiver operating characteristic (ROC) curve analysis…

COMT Val[superscript 108/158] Met Gene Variant, Birth Weight, and Conduct Disorder in Children with ADHD

ERIC Educational Resources Information Center

Sengupta, Sarojini M.; Grizenko, Natalie; Schmitz, Norbert; Schwartz, George; Amor, Leila Ben; Bellingham, Johanne; de Guzman, Rosherrie; Polotskaia, Anna; Stepanian, Marina Ter; Thakur, Geeta; Joober, Ridha

2006-01-01

Objective: In a recent study, Thapar and colleagues reported that COMT "gene variant and birth weight predict early-onset antisocial behavior in children" with attention-deficit/hyperactivity disorder. We have attempted to replicate these findings in a group of ADHD children using a similar research design. Method: Children (n = 191)…

Impact of early adolescent anxiety disorders on self-esteem development from adolescence to young adulthood

PubMed Central

Maldonado, Lizmarie; Huang, Yangxin; Chen, Ren; Kasen, Stephanie; Cohen, Patricia; Chen, Henian

2013-01-01

Purpose To examine the association between early adolescent anxiety disorders and self-esteem development from early adolescence to young adulthood. Methods Self-esteem was measured at mean ages 13, 16 and 22 for 821 participants from the Children in the Community Study, a population-based longitudinal cohort. Anxiety disorders were measured at mean age 13 years. Multilevel growth models were employed to analyze the change in self-esteem from early adolescence to young adulthood and to evaluate whether adolescent anxiety disorders predict both average and slope of self-esteem development. Results Self-esteem increased during adolescence and continued to increase in young adulthood. Girls had lower average self-esteem than boys, but this difference disappeared when examining the effect of anxiety. Adolescents with anxiety disorder had lower self-esteem, on average, compared with healthy adolescents (effect size (ES) =−0.35, p<0.01). Social phobia was found to have the greatest relative impact on average self-esteem (ES=−0.30, p<0.01), followed by overanxious disorder (ES=−0.17, p<0.05), and simple phobia (ES=−0.17, p<0.05). Obsessive compulsive-disorder (OCD) predicted a significant decline in self-esteem from adolescence to young-adulthood ( =−0.1, p<0.05). Separation anxiety disorder was not found to have any significant impact on self-esteem development. Conclusions All but one of the assessed adolescent anxiety disorders were related to lower self-esteem, with social phobia having the greatest impact. OCD predicted a decline in self-esteem trajectory with age. The importance of raising self-esteem in adolescents with anxiety and other mental disorders is discussed. PMID:23648133

The relationships between perfectionism, pathological worry and generalised anxiety disorder

PubMed Central

2014-01-01

Background The relationships between perfectionism, pathological worry and generalised anxiety disorder (GAD) were investigated in a clinical sample presenting for treatment of perfectionism. Method This study explored the utility of perfectionism in predicting pathological worry in a sample of individuals with elevated perfectionism and GAD (n = 36). Following this, the study examined whether perfectionism could predict a principal GAD diagnosis in the full sample (n = 42). Results Scores on the perfectionism dimensions Concern over Mistakes, Personal Standards, and Clinical Perfectionism significantly predicted pathological worry among participants with GAD after controlling for gender and depression. The perfectionism dimension Doubts about Actions significantly predicted whether individuals from the full sample received a principal diagnosis of GAD. Conclusions These findings support certain dimensions of perfectionism having significant associations with pathological worry and GAD. PMID:24693946

Predicting individual brain functional connectivity using a Bayesian hierarchical model.

PubMed

Dai, Tian; Guo, Ying

2017-02-15

Network-oriented analysis of functional magnetic resonance imaging (fMRI), especially resting-state fMRI, has revealed important association between abnormal connectivity and brain disorders such as schizophrenia, major depression and Alzheimer's disease. Imaging-based brain connectivity measures have become a useful tool for investigating the pathophysiology, progression and treatment response of psychiatric disorders and neurodegenerative diseases. Recent studies have started to explore the possibility of using functional neuroimaging to help predict disease progression and guide treatment selection for individual patients. These studies provide the impetus to develop statistical methodology that would help provide predictive information on disease progression-related or treatment-related changes in neural connectivity. To this end, we propose a prediction method based on Bayesian hierarchical model that uses individual's baseline fMRI scans, coupled with relevant subject characteristics, to predict the individual's future functional connectivity. A key advantage of the proposed method is that it can improve the accuracy of individualized prediction of connectivity by combining information from both group-level connectivity patterns that are common to subjects with similar characteristics as well as individual-level connectivity features that are particular to the specific subject. Furthermore, our method also offers statistical inference tools such as predictive intervals that help quantify the uncertainty or variability of the predicted outcomes. The proposed prediction method could be a useful approach to predict the changes in individual patient's brain connectivity with the progression of a disease. It can also be used to predict a patient's post-treatment brain connectivity after a specified treatment regimen. Another utility of the proposed method is that it can be applied to test-retest imaging data to develop a more reliable estimator for individual functional connectivity. We show there exists a nice connection between our proposed estimator and a recently developed shrinkage estimator of connectivity measures in the neuroimaging community. We develop an expectation-maximization (EM) algorithm for estimation of the proposed Bayesian hierarchical model. Simulations studies are performed to evaluate the accuracy of our proposed prediction methods. We illustrate the application of the methods with two data examples: the longitudinal resting-state fMRI from ADNI2 study and the test-retest fMRI data from Kirby21 study. In both the simulation studies and the fMRI data applications, we demonstrate that the proposed methods provide more accurate prediction and more reliable estimation of individual functional connectivity as compared with alternative methods. Copyright © 2017 Elsevier Inc. All rights reserved.

Mental Health Disorders, Psychological Distress, and Suicidality in a Diverse Sample of Lesbian, Gay, Bisexual, and Transgender Youths

PubMed Central

Garofalo, Robert; Emerson, Erin M.

2010-01-01

Objectives. We examined associations of race/ethnicity, gender, and sexual orientation with mental disorders among lesbian, gay, bisexual, and transgender (LGBT) youths. Methods. We assessed mental disorders by administering a structured diagnostic interview to a community sample of 246 LGBT youths aged 16 to 20 years. Participants also completed the Brief Symptom Inventory 18 (BSI 18). Results. One third of participants met criteria for any mental disorder, 17% for conduct disorder, 15% for major depression, and 9% for posttraumatic stress disorder. Anorexia and bulimia were rare. Lifetime suicide attempts were frequent (31%) but less so in the prior 12 months (7%). Few racial/ethnic and gender differences were statistically significant. Bisexually identified youths had lower prevalences of every diagnosis. The BSI 18 had high negative predictive power (90%) and low positive predictive power (25%) for major depression. Conclusions. LGBT youths had higher prevalences of mental disorder diagnoses than youths in national samples, but were similar to representative samples of urban, racial/ethnic minority youths. Suicide behaviors were similar to those among representative youth samples in the same geographic area. Questionnaires measuring psychological distress may overestimate depression prevalence among this population. PMID:20966378

Prediction of outcome in internet-delivered cognitive behaviour therapy for paediatric obsessive-compulsive disorder: A machine learning approach.

PubMed

Lenhard, Fabian; Sauer, Sebastian; Andersson, Erik; Månsson, Kristoffer Nt; Mataix-Cols, David; Rück, Christian; Serlachius, Eva

2018-03-01

There are no consistent predictors of treatment outcome in paediatric obsessive-compulsive disorder (OCD). One reason for this might be the use of suboptimal statistical methodology. Machine learning is an approach to efficiently analyse complex data. Machine learning has been widely used within other fields, but has rarely been tested in the prediction of paediatric mental health treatment outcomes. To test four different machine learning methods in the prediction of treatment response in a sample of paediatric OCD patients who had received Internet-delivered cognitive behaviour therapy (ICBT). Participants were 61 adolescents (12-17 years) who enrolled in a randomized controlled trial and received ICBT. All clinical baseline variables were used to predict strictly defined treatment response status three months after ICBT. Four machine learning algorithms were implemented. For comparison, we also employed a traditional logistic regression approach. Multivariate logistic regression could not detect any significant predictors. In contrast, all four machine learning algorithms performed well in the prediction of treatment response, with 75 to 83% accuracy. The results suggest that machine learning algorithms can successfully be applied to predict paediatric OCD treatment outcome. Validation studies and studies in other disorders are warranted. Copyright © 2017 John Wiley & Sons, Ltd.

Risk Prediction Models in Psychiatry: Toward a New Frontier for the Prevention of Mental Illnesses.

PubMed

Bernardini, Francesco; Attademo, Luigi; Cleary, Sean D; Luther, Charles; Shim, Ruth S; Quartesan, Roberto; Compton, Michael T

2017-05-01

We conducted a systematic, qualitative review of risk prediction models designed and tested for depression, bipolar disorder, generalized anxiety disorder, posttraumatic stress disorder, and psychotic disorders. Our aim was to understand the current state of research on risk prediction models for these 5 disorders and thus future directions as our field moves toward embracing prediction and prevention. Systematic searches of the entire MEDLINE electronic database were conducted independently by 2 of the authors (from 1960 through 2013) in July 2014 using defined search criteria. Search terms included risk prediction, predictive model, or prediction model combined with depression, bipolar, manic depressive, generalized anxiety, posttraumatic, PTSD, schizophrenia, or psychosis. We identified 268 articles based on the search terms and 3 criteria: published in English, provided empirical data (as opposed to review articles), and presented results pertaining to developing or validating a risk prediction model in which the outcome was the diagnosis of 1 of the 5 aforementioned mental illnesses. We selected 43 original research reports as a final set of articles to be qualitatively reviewed. The 2 independent reviewers abstracted 3 types of data (sample characteristics, variables included in the model, and reported model statistics) and reached consensus regarding any discrepant abstracted information. Twelve reports described models developed for prediction of major depressive disorder, 1 for bipolar disorder, 2 for generalized anxiety disorder, 4 for posttraumatic stress disorder, and 24 for psychotic disorders. Most studies reported on sensitivity, specificity, positive predictive value, negative predictive value, and area under the (receiver operating characteristic) curve. Recent studies demonstrate the feasibility of developing risk prediction models for psychiatric disorders (especially psychotic disorders). The field must now advance by (1) conducting more large-scale, longitudinal studies pertaining to depression, bipolar disorder, anxiety disorders, and other psychiatric illnesses; (2) replicating and carrying out external validations of proposed models; (3) further testing potential selective and indicated preventive interventions; and (4) evaluating effectiveness of such interventions in the context of risk stratification using risk prediction models. © Copyright 2017 Physicians Postgraduate Press, Inc.

Maternal and family factors and child eating pathology: risk and protective relationships

PubMed Central

2014-01-01

Background Previous studies have found associations between maternal and family factors and child eating disorder symptoms. However, it is not clear whether family factors predict eating disorder symptoms specifically, or relate to more general child psychopathology, of which eating disorder symptoms may be one component. This study aimed to identify maternal and family factors that may predict increases or decreases in child eating disorder symptoms over time, accounting for children’s body mass index z-scores and levels of general psychological distress. Methods Participants were 221 mother-child dyads from the Childhood Growth and Development Study, a prospective cohort study in Western Australia. Participants were assessed at baseline, 1-year follow-up and 2-year follow-up using interview and self-report measures. Children had a mean age of 10 years at baseline and 46% were male. Linear mixed models and generalised estimating equations were used to identify predictors of children’s eating disorder symptoms, with outcome variables including a global index of eating disorder psychopathology, levels of dietary restraint, levels of emotional eating, and the presence of loss of control (‘binge’) eating. Results Children of mothers with a current or past eating disorder reported significantly higher levels of global eating disorder symptoms and emotional eating than other children, and mothers with a current or past eating disorder reported significantly more concern about their children’s weight than other mothers. Maternal concern about child weight, rather than maternal eating disorder symptoms, was significant in predicting child eating disorder symptoms over time. Family exposure to stress and low maternal education were additional risk factors for eating disorder symptoms, whilst child-reported family satisfaction was a protective factor. Conclusions After adjusting for relevant confounding variables, maternal concern about child weight, children’s level of family satisfaction, family exposure to stress, and maternal education are unique predictors of child eating disorder symptoms. PMID:24808944

Low RMRratio as a Surrogate Marker for Energy Deficiency, the Choice of Predictive Equation Vital for Correctly Identifying Male and Female Ballet Dancers at Risk.

PubMed

Staal, Sarah; Sjödin, Anders; Fahrenholtz, Ida; Bonnesen, Karen; Melin, Anna Katarina

2018-06-22

Ballet dancers are reported to have an increased risk for energy deficiency with or without disordered eating behavior. A low ratio between measured ( m ) and predicted ( p ) resting metabolic rate (RMR ratio  < 0.90) is a recognized surrogate marker for energy deficiency. We aimed to evaluate the prevalence of suppressed RMR using different methods to calculate p RMR and to explore associations with additional markers of energy deficiency. Female (n = 20) and male (n = 20) professional ballet dancers, 19-35 years of age, were enrolled. m RMR was assessed by respiratory calorimetry (ventilated open hood). p RMR was determined using the Cunningham and Harris-Benedict equations, and different tissue compartments derived from whole-body dual-energy X-ray absorptiometry assessment. The protocol further included assessment of body composition and bone mineral density, blood pressure, disordered eating (Eating Disorder Inventory-3), and for females, the Low Energy Availability in Females Questionnaire. The prevalence of suppressed RMR was generally high but also clearly dependent on the method used to calculate p RMR, ranging from 25% to 80% in males and 35% to 100% in females. Five percent had low bone mineral density, whereas 10% had disordered eating and 25% had hypotension. Forty percent of females had elevated Low Energy Availability in Females Questionnaire score and 50% were underweight. Suppressed RMR was associated with elevated Low Energy Availability in Females Questionnaire score in females and with higher training volume in males. In conclusion, professional ballet dancers are at risk for energy deficiency. The number of identified dancers at risk varies greatly depending on the method used to predict RMR when using RMR ratio as a marker for energy deficiency.

Implicit affective associations predict snack choice for those with low, but not high levels of eating disorder symptomatology

PubMed Central

Ellis, Erin M.; Kiviniemi, Marc T.; Cook-Cottone, Catherine

2014-01-01

OBJECTIVE The central purpose of the current study was to examine whether eating disorder symptomatology moderates the extent to which implicitly and explicitly measured affective associations with fruits, or the feelings and emotions individuals associate with them, predict food choice. METHOD Participants (N=107) completed both implicit and explicit measures of affective associations with fruits, a self-report of eating disorder symptomatology, and their cognitive beliefs about fruits. In a subsequent snack selection task, they selected either a granola bar or fruit as a measure of their food choice behavior. RESULTS Logistic regression analyses revealed that eating disorder symptomatology moderated the relation of implicit affective associations on behavior, OR=0.27, p=.024, 95% CI (0.085, 0.84). A test of the simple effects indicated that implicit affective associations predicted snack choice at or below mean symptomatology levels [OR=2.073, p=.02, 95% CI (1.12, 3.84)], but not at high levels [OR=0.56, p=.28, 95% CI (0.18, 1.74)]. The effects of explicit measures on eating behavior were not moderated by eating disorder symptomatology (ps>.05). CONCLUSION These findings advance our understanding of both the relation of implicit affective associations on behavior, as well as the ways in which eating disorder symptomatology may impact the decision-making process, thereby perpetuating disorder-related eating behavior. These findings have implications for both health decision-making theory and practice, as well as for the study and treatment of eating disorders. PMID:24630936

Predictors of Broad Dimensions of Psychopathology among Patients with Panic Disorder after Cognitive-Behavioral Therapy

PubMed Central

Kondo, Masaki; Ino, Keiko; Imai, Risa; Ii, Toshitaka; Furukawa, Toshi A.; Akechi, Tatsuo

2018-01-01

Background Many patients with panic disorder meet criteria for at least one other diagnosis, most commonly other anxiety or mood disorders. Cognitive-behavioral therapy is the best empirically supported psychotherapy for panic disorder. There is now evidence indicating that cognitive-behavioral therapy for panic disorder yields positive benefits upon comorbid disorders. Objectives The present study aimed to examine the predictors of broad dimensions of psychopathology in panic disorder after cognitive-behavioral therapy. Methods Two hundred patients affected by panic disorder were treated with manualized group cognitive-behavioral therapy. We examined if the baseline personality dimensions of NEO Five Factor Index predicted the subscales of Symptom Checklist-90 Revised at endpoint using multiple regression analysis based on the intention-to-treat principle. Results Conscientiousness score of NEO Five Factor Index at baseline was a predictor of four Symptom Checklist-90 Revised subscales including obsessive-compulsive (β = −0.15, P < 0.01), depression (β = −0.13, P < 0.05), phobic anxiety (β = −0.15, P < 0.05), and Global Severity Index (β = −0.13, P < 0.05). Conclusion Conscientiousness at baseline may predict several dimensions of psychopathology in patients with panic disorder after cognitive-behavioral therapy. For the purpose of improving a wide range of psychiatric symptoms with patients affected by panic disorder, it may be useful to pay more attention to this personal trait at baseline. PMID:29721499

Prediction Error Representation in Individuals with Generalized Anxiety Disorder During Passive Avoidance

PubMed Central

White, Stuart F.; Geraci, Marilla; Lewis, Elizabeth; Leshin, Joseph; Teng, Cindy; Averbeck, Bruno; Meffert, Harma; Ernst, Monique; Blair, James R.; Grillon, Christian; Blair, Karina S.

2017-01-01

Objective Deficits in reinforcement-based decision-making have been reported in Generalized Anxiety Disorder. However, the pathophysiology of these deficits is largely unknown, extant studies have mainly examined youth and the integrity of core functional processes underpinning decision-making remain undetermined. In particular, it is unclear whether the representation of reinforcement prediction error (PE: the difference between received and expected reinforcement) is disrupted in Generalized Anxiety Disorder. The current study addresses these issues in adults with the disorder. Methods Forty-six un-medicated individuals with Generalized Anxiety Disorder and 32 healthy controls group-matched on IQ, gender and age, completed a passive avoidance task while undergoing functional MRI. Results Behaviorally, individuals with Generalized Anxiety Disorder showed impaired reinforcement-based decision-making. Imaging results revealed that during feedback, individuals with Generalized Anxiety Disorder relative to healthy controls showed a reduced correlation between PE and activity within ventromedial prefrontal cortex, ventral striatum and other structures implicated in decision-making. In addition, individuals with Generalized Anxiety Disorder relative to healthy participants showed a reduced correlation between punishment, but not reward, PEs and activity within bilateral lentiform nucleus/putamen. Conclusions This is the first study to identify computational impairments during decision-making in Generalized Anxiety Disorder. PE signaling is significantly disrupted in individuals with the disorder and may underpin the decision-making deficits observed in patients with GAD. PMID:27631963

Relationship of Personality Disorders to the Course of Major Depressive Disorder in a Nationally Representative Sample

PubMed Central

Skodol, Andrew E.; Grilo, Carlos M.; Keyes, Katherine; Geier, Timothy; Grant, Bridget F.; Hasin, Deborah S.

2011-01-01

Objective The purpose of this study was to examine the effects of specific personality disorder co-morbidity on the course of major depressive disorder in a nationally-representative sample. Method Data were drawn from 1,996 participants in a national survey. Participants who met criteria for major depressive disorder at baseline in face-to-face interviews (2001–2002) were re-interviewed three years later (2004–2005) to determine persistence and recurrence. Predictors included all DSM-IV personality disorders. Control variables included demographic characteristics, other Axis I disorders, family and treatment histories, and previously established predictors of the course of major depressive disorder. Results 15.1% of participants had persistent major depressive disorder and 7.3% of those who remitted had a recurrence. Univariate analyses indicated that avoidant, borderline, histrionic, paranoid, schizoid, and schizotypal personality disorders all elevated the risk for persistence. With Axis I co-morbidity controlled, all but histrionic personality disorder remained significant. With all other personality disorders controlled, borderline and schizotypal remained significant predictors. In final, multivariate analyses that controlled for age at onset of major depressive disorder, number of previous episodes, duration of current episode, family history, and treatment, borderline personality disorder remained a robust predictor of major depressive disorder persistence. Neither personality disorders nor other clinical variables predicted recurrence. Conclusions In this nationally-representative sample of adults with major depressive disorder, borderline personality disorder robustly predicted persistence, a finding that converges with recent clinical studies. Personality psychopathology, particularly borderline personality disorder, should be assessed in all patients with major depressive disorder, considered in prognosis, and addressed in treatment. PMID:21245088

The Prediction of Disruptive Behaviour Disorders in an Urban Community Sample: The Contribution of Person-Centred Analyses

ERIC Educational Resources Information Center

Burt, Keith B.; Hay, Dale F.; Pawlby, Susan; Harold, Gordon; Sharp, Deborah

2004-01-01

Background: Variable- and person-centred analyses were used to examine prediction of middle childhood behaviour problems from earlier child and family measures. Method: A community sample of 164 families, initially recruited at antenatal clinics at two South London practices, was assessed for children's behaviour problems and cognitive ability,…

Analyzing depression tendency of web posts using an event-driven depression tendency warning model.

PubMed

Tung, Chiaming; Lu, Wenhsiang

2016-01-01

The Internet has become a platform to express individual moods/feelings of daily life, where authors share their thoughts in web blogs, micro-blogs, forums, bulletin board systems or other media. In this work, we investigate text-mining technology to analyze and predict the depression tendency of web posts. In this paper, we defined depression factors, which include negative events, negative emotions, symptoms, and negative thoughts from web posts. We proposed an enhanced event extraction (E3) method to automatically extract negative event terms. In addition, we also proposed an event-driven depression tendency warning (EDDTW) model to predict the depression tendency of web bloggers or post authors by analyzing their posted articles. We compare the performance among the proposed EDDTW model, negative emotion evaluation (NEE) model, and the diagnostic and statistical manual of mental disorders-based depression tendency evaluation method. The EDDTW model obtains the best recall rate and F-measure at 0.668 and 0.624, respectively, while the diagnostic and statistical manual of mental disorders-based method achieves the best precision rate of 0.666. The main reason is that our enhanced event extraction method can increase recall rate by enlarging the negative event lexicon at the expense of precision. Our EDDTW model can also be used to track the change or trend of depression tendency for each post author. The depression tendency trend can help doctors to diagnose and even track depression of web post authors more efficiently. This paper presents an E3 method to automatically extract negative event terms in web posts. We also proposed a new EDDTW model to predict the depression tendency of web posts and possibly help bloggers or post authors to early detect major depressive disorder. Copyright © 2015 Elsevier B.V. All rights reserved.

Posttraumatic Stress Disorder: Diagnostic Data Analysis by Data Mining Methodology

PubMed Central

Marinić, Igor; Supek, Fran; Kovačić, Zrnka; Rukavina, Lea; Jendričko, Tihana; Kozarić-Kovačić, Dragica

2007-01-01

Aim To use data mining methods in assessing diagnostic symptoms in posttraumatic stress disorder (PTSD) Methods The study included 102 inpatients: 51 with a diagnosis of PTSD and 51 with psychiatric diagnoses other than PTSD. Several models for predicting diagnosis were built using the random forest classifier, one of the intelligent data analysis methods. The first prediction model was based on a structured psychiatric interview, the second on psychiatric scales (Clinician-administered PTSD Scale – CAPS, Positive and Negative Syndrome Scale – PANSS, Hamilton Anxiety Scale – HAMA, and Hamilton Depression Scale – HAMD), and the third on combined data from both sources. Additional models placing more weight on one of the classes (PTSD or non-PTSD) were trained, and prototypes representing subgroups in the classes constructed. Results The first model was the most relevant for distinguishing PTSD diagnosis from comorbid diagnoses such as neurotic, stress-related, and somatoform disorders. The second model pointed out the scores obtained on the Clinician-administered PTSD Scale (CAPS) and additional Positive and Negative Syndrome Scale (PANSS) scales, together with comorbid diagnoses of neurotic, stress-related, and somatoform disorders as most relevant. In the third model, psychiatric scales and the same group of comorbid diagnoses were found to be most relevant. Specialized models placing more weight on either the PTSD or non-PTSD class were able to better predict their targeted diagnoses at some expense of overall accuracy. Class subgroup prototypes mainly differed in values achieved on psychiatric scales and frequency of comorbid diagnoses. Conclusion Our work demonstrated the applicability of data mining methods for the analysis of structured psychiatric data for PTSD. In all models, the group of comorbid diagnoses, including neurotic, stress-related, and somatoform disorders, surfaced as important. The important attributes of the data, based on the structured psychiatric interview, were the current symptoms and conditions such as presence and degree of disability, hospitalizations, and duration of military service during the war, while CAPS total scores, symptoms of increased arousal, and PANSS additional criteria scores were indicated as relevant from the psychiatric symptom scales. PMID:17436383

Parent, Family, and Neighborhood Effects on the Development of Child Substance Use and Other Psychopathology From Preschool to the Start of Adulthood*

PubMed Central

Buu, Anne; DiPiazza, Cydney; Wang, Jing; Puttler, Leon I.; Fitzgerald, Hiram E.; Zucker, Robert A.

2009-01-01

Objective: We examined the long-term effects of childhood familial and neighborhood risk on adolescent substance use and psychiatric symptomatology. Method: This study used data from an ongoing 2-decade long study that recruited alcoholic and neighborhood control families through fathers' drunk-driving records and door-to-door canvassing in a four county area. The sample included 220 male, initially 3- to 5-year-old children of the participant families, who received in-home assessments at baseline and thereafter at 3-year intervals. Parental lifetime psychopathology and offspring symptomatology at ages 18-20 were assessed by semistructured diagnostic interviews. Census tract variables were used to indicate neighborhood characteristics. Results: The isomorphic parental symptomatology predicted offspring psychopathology. For marijuana-use disorder, major depressive disorder, and nicotine dependence, the other parental comorbidities were also significant predictors. Neighborhood residential instability in childhood contributed to the development of late adolescent alcohol-use disorder, marijuana-use disorder, major depressive disorder, antisocial personality disorder, and nicotine-dependence symptomatology. Although lower family socioeconomic status in childhood contributed to more adolescent marijuana-use disorder, major depressive disorder, and nicotine-dependence symptoms, neighborhood socioeconomic status did not predict adolescent psychopathology. Longitudinal changes in neighborhood environments from early childhood to adolescence had significant effects on alcohol-use disorder, marijuana-use disorder, and major depressive disorder symptoms in late adolescence. A higher frequency of family mobility from early childhood to adolescence predicted more nicotine-dependence symptoms in late adolescence. Conclusions: Findings indicate that parental psychopathology, family socioeconomic status, and neighborhood residential instability are all important risk factors for the development of substance-use disorder and other comorbid psychopathology. Intervention programming might effectively use these early parental psychopathology indicators to identify risk and might target community activity to stabilize the social environment and provide youth services to counteract the effects of family transience. PMID:19515288

Trajectories of Preschool Disorders to Full DSM Depression at School Age and Early Adolescence: Continuity of Preschool Depression

PubMed Central

Luby, Joan L.; Gaffrey, Michael S.; Tillman, Rebecca; April, Laura M.; Belden, Andy C.

2014-01-01

Background Preschool-onset depression, a developmentally adapted form of depression arising between the ages of 3–6, has demonstrated numerous features of validity including characteristic alterations in stress reactivity and brain function. Notably, this validated syndrome with multiple clinical markers is characterized by sub-threshold DSM Major Depressive Disorder criteria, raising questions about its clinical significance. To clarify the utility and public health significance of the preschool-onset depression construct, diagnostic outcomes of this group at school age and adolescence were investigated. Methods We investigated the likelihood of meeting full DSM Major Depressive Disorder criteria in later childhood (i.e., ≥ age 6) as a function of preschool depression, other preschool Axis I disorders, maternal depression, parenting non-support and traumatic life events in a longitudinal prospective study of preschool children. Results Preschool-onset depression emerged as a robust predictor of DSM-5 Major Depressive Disorder in later childhood even after accounting for the effect of maternal depression and other risk factors. Preschool-onset conduct disorder also predicted DSM-5 Major Depressive Disorder in later childhood, but this association was partially mediated by maternal non-support, reducing the effect of preschool conduct disorder in predicting DSM depression by 21%. Discussion Study findings provide evidence that this preschool depressive syndrome is a robust risk factor for meeting full DSM criteria for Major Depressive Disorder in later childhood over and above other established risk factors. Preschool conduct disorder also predicted Major Depressive Disorder but was mediated by maternal non-support. Findings suggest that attention to preschool depression and conduct disorder in addition to maternal depression and exposure to trauma should now become an important factor for identification of young children at highest risk for later MDD who should be targeted for early interventions. PMID:24700355

Psychotic experiences and psychotic disorders at age 18 in relation to psychotic experiences at age 12 in a longitudinal population-based cohort study.

PubMed

Zammit, Stanley; Kounali, Daphne; Cannon, Mary; David, Anthony S; Gunnell, David; Heron, Jon; Jones, Peter B; Lewis, Shôn; Sullivan, Sarah; Wolke, Dieter; Lewis, Glyn

2013-07-01

OBJECTIVE The authors examined the development of psychotic experiences and psychotic disorders in a large population-based sample of young adults and explored their relationship to psychotic phenomena earlier in childhood. METHOD The authors conducted a longitudinal birth cohort study of individuals assessed with the semistructured Psychosis-Like Symptom Interviews at ages 12 and 18 years. RESULTS Of the 4,724 individuals interviewed at age 18, 433 (9.2%) had either suspected (N=203 [4.3%]) or definite (N=230 [4.9%]) psychotic experiences. Of these, 79 (1.7%) met criteria for a psychotic disorder, and of those, only 50% sought professional help. All psychotic outcomes were more likely in young women and in those from socioeconomically disadvantaged backgrounds. Of the participants who had psychotic experiences at age 12, 78.7% had remitted by age 18. The risk of psychotic disorders at age 18 was greater in those with suspected (odds ratio=5.6, 95% CI=2.6-12.1) and especially in those with definite (odds ratio=12.7, 95% CI=6.2-26.1) psychotic experiences at age 12, and also among those with psychotic experiences at age 12 attributed to sleep or fever or with nonpsychotic experiences such as depersonalization. The positive predictive values for increasing frequency of experiences at age 12 predicting psychotic disorders at age 18 ranged from 5.5% to 22.8%. CONCLUSIONS Despite evidence for a continuum of psychotic experiences from as early as age 12, positive predictive values for predicting psychotic disorders were too low to offer real potential for targeted interventions. Psychotic disorders in young adults are relatively uncommon, but they constitute an important unmet need for care given that half of the individuals in this study who met criteria for a psychiatric disorder had not sought help for these problems despite high levels of associated distress and impairment.

Mental disorders among English-speaking Mexican immigrants to the US compared to a national sample of Mexicans.

PubMed

Breslau, Joshua; Aguilar-Gaxiola, Sergio; Borges, Guilherme; Castilla-Puentes, Ruby Cecilia; Kendler, Kenneth S; Medina-Mora, Maria-Elena; Su, Maxwell; Kessler, Ronald C

2007-05-30

Our understanding of the relationship between immigration and mental health can be advanced by comparing immigrants pre- and post-immigration with residents of the immigrants' home countries. DSM-IV anxiety and mood disorders were assessed using identical methods in representative samples of English-speaking Mexican immigrants to the US, a subsample of the US National Comorbidity Survey Replication (NCSR), and Mexicans, the Mexican National Comorbidity Survey (MNCS). Retrospective reports of age of onset of disorders and, in the immigrant sample, age of immigration were analyzed to study the associations of pre-existing mental disorders with immigration and of immigration with the subsequent onset and persistence of mental disorders. Pre-existing anxiety disorders predicted immigration (OR=3.0; 95% CI 1.2-7.4). Immigration predicted subsequent onset of anxiety (OR=1.9; 95% CI 0.9-3.9) and mood (OR=2.3; 95% CI 1.3-4.0) disorders and persistence of anxiety (OR=3.7 95% CI 1.2-11.2) disorders. The results are inconsistent with the "healthy immigrant" hypothesis (that mentally healthy people immigrate) and partly consistent with the "acculturation stress" hypothesis (i.e., that stresses of living in a foreign culture promote mental disorder). Replication and extension of these results in a larger bi-national sample using a single field staff are needed.

How disordered is my protein and what is its disorder for? A guide through the “dark side” of the protein universe

PubMed Central

Lieutaud, Philippe; Uversky, Alexey V.; Uversky, Vladimir N.; Longhi, Sonia

2016-01-01

ABSTRACT In the last 2 decades it has become increasingly evident that a large number of proteins are either fully or partially disordered. Intrinsically disordered proteins lack a stable 3D structure, are ubiquitous and fulfill essential biological functions. Their conformational heterogeneity is encoded in their amino acid sequences, thereby allowing intrinsically disordered proteins or regions to be recognized based on properties of these sequences. The identification of disordered regions facilitates the functional annotation of proteins and is instrumental for delineating boundaries of protein domains amenable to structural determination with X-ray crystallization. This article discusses a comprehensive selection of databases and methods currently employed to disseminate experimental and putative annotations of disorder, predict disorder and identify regions involved in induced folding. It also provides a set of detailed instructions that should be followed to perform computational analysis of disorder. PMID:28232901

Lower extremity EMG-driven modeling of walking with automated adjustment of musculoskeletal geometry

PubMed Central

Meyer, Andrew J.; Patten, Carolynn

2017-01-01

Neuromusculoskeletal disorders affecting walking ability are often difficult to manage, in part due to limited understanding of how a patient’s lower extremity muscle excitations contribute to the patient’s lower extremity joint moments. To assist in the study of these disorders, researchers have developed electromyography (EMG) driven neuromusculoskeletal models utilizing scaled generic musculoskeletal geometry. While these models can predict individual muscle contributions to lower extremity joint moments during walking, the accuracy of the predictions can be hindered by errors in the scaled geometry. This study presents a novel EMG-driven modeling method that automatically adjusts surrogate representations of the patient’s musculoskeletal geometry to improve prediction of lower extremity joint moments during walking. In addition to commonly adjusted neuromusculoskeletal model parameters, the proposed method adjusts model parameters defining muscle-tendon lengths, velocities, and moment arms. We evaluated our EMG-driven modeling method using data collected from a high-functioning hemiparetic subject walking on an instrumented treadmill at speeds ranging from 0.4 to 0.8 m/s. EMG-driven model parameter values were calibrated to match inverse dynamic moments for five degrees of freedom in each leg while keeping musculoskeletal geometry close to that of an initial scaled musculoskeletal model. We found that our EMG-driven modeling method incorporating automated adjustment of musculoskeletal geometry predicted net joint moments during walking more accurately than did the same method without geometric adjustments. Geometric adjustments improved moment prediction errors by 25% on average and up to 52%, with the largest improvements occurring at the hip. Predicted adjustments to musculoskeletal geometry were comparable to errors reported in the literature between scaled generic geometric models and measurements made from imaging data. Our results demonstrate that with appropriate experimental data, joint moment predictions for walking generated by an EMG-driven model can be improved significantly when automated adjustment of musculoskeletal geometry is included in the model calibration process. PMID:28700708

Conformational Entropy of Intrinsically Disordered Proteins from Amino Acid Triads

PubMed Central

Baruah, Anupaul; Rani, Pooja; Biswas, Parbati

2015-01-01

This work quantitatively characterizes intrinsic disorder in proteins in terms of sequence composition and backbone conformational entropy. Analysis of the normalized relative composition of the amino acid triads highlights a distinct boundary between globular and disordered proteins. The conformational entropy is calculated from the dihedral angles of the middle amino acid in the amino acid triad for the conformational ensemble of the globular, partially and completely disordered proteins relative to the non-redundant database. Both Monte Carlo (MC) and Molecular Dynamics (MD) simulations are used to characterize the conformational ensemble of the representative proteins of each group. The results show that the globular proteins span approximately half of the allowed conformational states in the Ramachandran space, while the amino acid triads in disordered proteins sample the entire range of the allowed dihedral angle space following Flory’s isolated-pair hypothesis. Therefore, only the sequence information in terms of the relative amino acid triad composition may be sufficient to predict protein disorder and the backbone conformational entropy, even in the absence of well-defined structure. The predicted entropies are found to agree with those calculated using mutual information expansion and the histogram method. PMID:26138206

Gambling disorder-related illegal acts: Regression model of associated factors

PubMed Central

Gorsane, Mohamed Ali; Reynaud, Michel; Vénisse, Jean-Luc; Legauffre, Cindy; Valleur, Marc; Magalon, David; Fatséas, Mélina; Chéreau-Boudet, Isabelle; Guilleux, Alice; JEU Group; Challet-Bouju, Gaëlle; Grall-Bronnec, Marie

2017-01-01

Background and aims Gambling disorder-related illegal acts (GDRIA) are often crucial events for gamblers and/or their entourage. This study was designed to determine the predictive factors of GDRIA. Methods Participants were 372 gamblers reporting at least three DSM-IV-TR (American Psychiatric Association, 2000) criteria. They were assessed on the basis of sociodemographic characteristics, gambling-related characteristics, their personality profile, and psychiatric comorbidities. A multiple logistic regression was performed to identify the relevant predictors of GDRIA and their relative contribution to the prediction of the presence of GDRIA. Results Multivariate analysis revealed a higher South Oaks Gambling Scale score, comorbid addictive disorders, and a lower level of income as GDRIA predictors. Discussion and conclusion An original finding of this study was that the comorbid addictive disorder effect might be mediated by a disinhibiting effect of stimulant substances on GDRIA. Further studies are necessary to replicate these results, especially in a longitudinal design, and to explore specific therapeutic interventions. PMID:28198636

Gambling disorder-related illegal acts: Regression model of associated factors.

PubMed

Gorsane, Mohamed Ali; Reynaud, Michel; Vénisse, Jean-Luc; Legauffre, Cindy; Valleur, Marc; Magalon, David; Fatséas, Mélina; Chéreau-Boudet, Isabelle; Guilleux, Alice; Challet-Bouju, Gaëlle; Grall-Bronnec, Marie

2017-03-01

Background and aims Gambling disorder-related illegal acts (GDRIA) are often crucial events for gamblers and/or their entourage. This study was designed to determine the predictive factors of GDRIA. Methods Participants were 372 gamblers reporting at least three DSM-IV-TR (American Psychiatric Association, 2000) criteria. They were assessed on the basis of sociodemographic characteristics, gambling-related characteristics, their personality profile, and psychiatric comorbidities. A multiple logistic regression was performed to identify the relevant predictors of GDRIA and their relative contribution to the prediction of the presence of GDRIA. Results Multivariate analysis revealed a higher South Oaks Gambling Scale score, comorbid addictive disorders, and a lower level of income as GDRIA predictors. Discussion and conclusion An original finding of this study was that the comorbid addictive disorder effect might be mediated by a disinhibiting effect of stimulant substances on GDRIA. Further studies are necessary to replicate these results, especially in a longitudinal design, and to explore specific therapeutic interventions.

Are obsessive-compulsive symptoms impulsive, compulsive or both?

PubMed Central

Chamberlain, Samuel R; Leppink, Eric W.; Redden, Sarah A.; Grant, Jon E.

2017-01-01

Background The relationships between obsessive-compulsive symptoms and distinct forms of impulsivity and compulsivity are unclear. Such examination would be relevant in terms of how best to classify psychiatric disorders and in understanding candidate ‘latent traits’ that extend across a continuum between normalcy and clinical disorders. Method 515 young adults (aged 18-29 years) completed the Padua Inventory and undertook detailed clinical and neurocognitive assessments. Relationships between obsessive-compulsive symptoms and distinct types of impulsivity and compulsivity were evaluated using linear regression modelling. Results Obsessive-compulsive symptoms were significantly predicted by female gender, lower quality of life, psychiatric disorders in general (but not impulse control disorders), and worse extra-dimensional set-shifting. Obsessive-compulsive symptoms were not significantly predicted by alcohol/nicotine consumption, stop-signal reaction times, or decision-making abilities. Conclusion These data indicate that obsessive-compulsive symptoms are more related to certain forms of compulsivity than to impulsivity. These findings have important implications for diagnostic conceptualizations and neurobiological models. PMID:27234191

Functional outcomes of child and adolescent ODD symptoms in young adult men

PubMed Central

Burke, Jeffrey D.; Rowe, Richard; Boylan, Khrista

2013-01-01

Background ODD is considered to be a disorder of childhood, yet evidence suggests that prevalence rates of the disorder are stable into late adolescence and trajectories of symptoms persist into young adulthood. Functional outcomes associated with ODD through childhood and adolescence include conflict within families, poor peer relationships, peer rejection and academic difficulties. Little examination of functional outcomes in adulthood associated with ODD has been undertaken. Method Data for the present analyses come from a clinic referred sample of 177 boys aged 7 to 12 followed up annually to age 18 and again at age 24. Annual parental report of psychopathology through adolescence was used to predict self-reported functional outcomes at 24. Results Controlling for parent reported symptoms of ADHD, CD, depression and anxiety, ODD symptoms from childhood through adolescence predicted poorer age 24 functioning with peers, poorer romantic relationships, a poorer paternal relationship, and having nobody who would provide a recommendation for a job. CD symptoms predicted workplace problems, poor maternal relationship, lower academic attainment and violent injuries. Only parent reported ODD symptoms and child reported CD symptoms predicted a composite of poor adult outcomes. Conclusion ODD is a disorder that significantly interferes with functioning, particularly in social or interpersonal relationships. The persistence of impairment associated with ODD into young adulthood calls for a reconsideration of ODD as a disorder limited to childhood. PMID:24117754

Anticipatory Activation in the Amygdala and Anterior Cingulate in Generalized Anxiety Disorder and Prediction of Treatment Response

PubMed Central

Nitschke, Jack B.; Sarinopoulos, Issidoros; Oathes, Desmond J.; Johnstone, Tom; Whalen, Paul J.; Davidson, Richard J.; Kalin, Ned H.

2009-01-01

Objective The anticipation of adverse outcomes, or worry, is a cardinal symptom of generalized anxiety disorder. Prior work with healthy subjects has shown that anticipating aversive events recruits a network of brain regions, including the amygdala and anterior cingulate cortex. This study tested whether patients with generalized anxiety disorder have alterations in anticipatory amygdala function and whether anticipatory activity in the anterior cingulate cortex predicts treatment response. Method Functional magnetic resonance imaging (fMRI) was employed with 14 generalized anxiety disorder patients and 12 healthy comparison subjects matched for age, sex, and education. The event-related fMRI paradigm was composed of one warning cue that preceded aversive pictures and a second cue that preceded neutral pictures. Following the fMRI session, patients received 8 weeks of treatment with extended-release venlafaxine. Results Patients with generalized anxiety disorder showed greater anticipatory activity than healthy comparison subjects in the bilateral dorsal amygdala preceding both aversive and neutral pictures. Building on prior reports of pretreatment anterior cingulate cortex activity predicting treatment response, anticipatory activity in that area was associated with clinical outcome 8 weeks later following treatment with venlafaxine. Higher levels of pretreatment anterior cingulate cortex activity in anticipation of both aversive and neutral pictures were associated with greater reductions in anxiety and worry symptoms. Conclusions These findings of heightened and indiscriminate amygdala responses to anticipatory signals in generalized anxiety disorder and of anterior cingulate cortex associations with treatment response provide neurobiological support for the role of anticipatory processes in the pathophysiology of generalized anxiety disorder. PMID:19122007

The prevalence and correlates of binge eating disorder in the WHO World Mental Health Surveys

PubMed Central

Kessler, Ronald C.; Berglund, Patricia A.; Chiu, Wai Tat; Deitz, Anne C.; Hudson, James I.; Shahly, Victoria; Aguilar-Gaxiola, Sergio; Alonso, Jordi; Angermeyer, Matthias C.; Benjet, Corina; Bruffaerts, Ronny; de Girolamo, Giovanni; de Graaf, Ron; Haro, Josep Maria; Kovess-Masfety, Viviane; O’Neill, Siobhan; Posada-Villa, Jose; Sasu, Carmen; Scott, Kate; Viana, Maria Carmen; Xavier, Miguel

2013-01-01

Background Little population-based data exist outside the United States on the epidemiology of binge eating disorder (BED). Cross-national data on BED are presented and compared to bulimia nervosa (BN) based on the WHO World Mental Health Surveys. Methods Community surveys with 24,124 respondents (ages 18+) across 14 mostly upper-middle and high income countries assessed lifetime and 12-month DSM-IV mental disorders with the WHO Composite International Diagnostic Interview. Physical disorders were assessed with a chronic conditions checklist. Results Country-specific lifetime prevalence estimates are consistently (median; inter-quartile range) higher for BED (1.4%;0.8–1.9%) than BN (0.8%;0.4–1.0%). Median age-of-onset is in the late teens to early 20s for both disorders but slightly younger for BN. Persistence is slightly higher for BN (6.5 years; 2.2–15.4) than BED (4.3 years; 1.0–11.7). Lifetime risk of both disorders is elevated for women and recent cohorts. Retrospective reports suggest that comorbid anxiety, mood, and disruptive behavior disorders predict subsequent onset of BN somewhat more strongly than BED and that BN predicts subsequent comorbid psychiatric disorders somewhat more strongly than does BED. Significant comorbidities with physical conditions are due almost entirely to BN and BED predicting subsequent onset of these conditions, again with BN somewhat stronger than BED. Role impairments are similar for BN and BED. Fewer than half of lifetime BN or BED cases receive treatment. Conclusions BED represents a public health problem at least equal to BN. Low treatment rates highlight the clinical importance of questioning patients about eating problems even when not included among presenting complaints. PMID:23290497

Parent- and Self-Reported Dimensions of Oppositionality in Youth: Construct Validity, Concurrent Validity, and the Prediction of Criminal Outcomes in Adulthood

ERIC Educational Resources Information Center

Aebi, Marcel; Plattner, Belinda; Metzke, Christa Winkler; Bessler, Cornelia; Steinhausen, Hans-Christoph

2013-01-01

Background: Different dimensions of oppositional defiant disorder (ODD) have been found as valid predictors of further mental health problems and antisocial behaviors in youth. The present study aimed at testing the construct, concurrent, and predictive validity of ODD dimensions derived from parent- and self-report measures. Method: Confirmatory…

What Do Childhood Anxiety Disorders Predict?

ERIC Educational Resources Information Center

Bittner, Antje; Egger, Helen L.; Erkanli, Alaattin; Costello, E. Jane; Foley, Debra L.; Angold, Adrian

2007-01-01

Background: Few longitudinal studies of child and adolescent psychopathology have examined the links between specific childhood anxiety disorders and adolescent psychiatric disorder. In this paper we test the predictive specificity of separation anxiety disorder (SAD), overanxious disorder (OAD), generalized anxiety disorder (GAD), and social…

Eating Disorder Symptomatology and Identity Formation in Adolescence: A Cross-Lagged Longitudinal Approach.

PubMed

Verschueren, Margaux; Claes, Laurence; Bogaerts, Annabel; Palmeroni, Nina; Gandhi, Amarendra; Moons, Philip; Luyckx, Koen

2018-01-01

Introduction: Eating disorder symptomatology, comprising both psychological and behavioral aspects of subclinical eating concerns, constitutes a clear precursor of developing eating disorders. It is crucial to investigate its antecedents and correlates to subsequently inform eating disorder prevention programs. The present study focused on identity formation, a core developmental task in adolescence, that has increasingly been linked to eating disorder development. Our main aim was to examine the temporal sequence between eating disorder symptomatology and identity formation. Methods: Data on eating disorder symptomatology and identity formation were collected in 530 high school students (at Time 1: mean age = 15 years; SD = 1.84; range: 12-18 years; 50.6% females) using self-report questionnaires at three annual measurement points. Cross-lagged structural equation modeling was performed to examine the directionality of effects. Results: Results indicated bidirectional effects between eating disorder symptomatology and identity formation. Identity confusion seemed to increase vulnerability to body dissatisfaction and bulimia symptoms, whereas identity synthesis seemed to protect against their development. Additionally, identity synthesis seemed to protect against the development of drive for thinness as well. At the same time, body dissatisfaction and bulimia symptoms positively predicted identity confusion and negatively predicted identity synthesis over time. Conclusion: The present study adds to the growing body of literature on identity and eating disorders by focusing on their temporal interplay in a community sample of adolescents. As bidirectional effects emerged, a greater emphasis on identity formation in eating disorder prevention programs is advocated.

Eating Disorder Symptomatology and Identity Formation in Adolescence: A Cross-Lagged Longitudinal Approach

PubMed Central

Verschueren, Margaux; Claes, Laurence; Bogaerts, Annabel; Palmeroni, Nina; Gandhi, Amarendra; Moons, Philip; Luyckx, Koen

2018-01-01

Introduction: Eating disorder symptomatology, comprising both psychological and behavioral aspects of subclinical eating concerns, constitutes a clear precursor of developing eating disorders. It is crucial to investigate its antecedents and correlates to subsequently inform eating disorder prevention programs. The present study focused on identity formation, a core developmental task in adolescence, that has increasingly been linked to eating disorder development. Our main aim was to examine the temporal sequence between eating disorder symptomatology and identity formation. Methods: Data on eating disorder symptomatology and identity formation were collected in 530 high school students (at Time 1: mean age = 15 years; SD = 1.84; range: 12–18 years; 50.6% females) using self-report questionnaires at three annual measurement points. Cross-lagged structural equation modeling was performed to examine the directionality of effects. Results: Results indicated bidirectional effects between eating disorder symptomatology and identity formation. Identity confusion seemed to increase vulnerability to body dissatisfaction and bulimia symptoms, whereas identity synthesis seemed to protect against their development. Additionally, identity synthesis seemed to protect against the development of drive for thinness as well. At the same time, body dissatisfaction and bulimia symptoms positively predicted identity confusion and negatively predicted identity synthesis over time. Conclusion: The present study adds to the growing body of literature on identity and eating disorders by focusing on their temporal interplay in a community sample of adolescents. As bidirectional effects emerged, a greater emphasis on identity formation in eating disorder prevention programs is advocated. PMID:29915548

Automatic approach/avoidance tendencies towards food and the course of anorexia nervosa.

PubMed

Neimeijer, Renate A M; de Jong, Peter J; Roefs, Anne

2015-08-01

The aim of the present study was to investigate the role of automatic approach/avoidance tendencies for food in Anorexia Nervosa (AN). We used a longitudinal approach and tested whether a reduction in eating disorder symptoms is associated with enhanced approach tendencies towards food and whether approach tendencies towards food at baseline are predictive for treatment outcome after one year follow up. The Affective Simon Task-manikin version (AST-manikin) was administered to measure automatic approach/avoidance tendencies towards high-caloric and low-caloric food in young AN patients. Percentage underweight and eating disorder symptoms as indexed by the EDE-Q were determined both during baseline and at one year follow up. At baseline anorexia patients showed an approach tendency for low caloric food, but not for high caloric food, whereas at 1 year follow up, they have an approach tendency for both high and low caloric food. Change in approach bias was neither associated with change in underweight nor with change in eating disorder symptoms. Strength of approach/avoidance tendencies was not predictive for percentage underweight. Although approach tendencies increased after one year, approach tendencies were neither associated with concurrent change in eating disorder symptoms nor predictive for treatment success as indexed by EDE-Q. This implicates that, so far, there is no reason to add a method designed to directly target approach/avoidance tendencies to the conventional approach to treat patients with a method designed to influence the more deliberate processes in AN. Copyright © 2015 Elsevier Ltd. All rights reserved.

Predicting mental disorders from hypothalamic-pituitary-adrenal axis functioning: a 3-year follow-up in the TRAILS study.

PubMed

Nederhof, E; van Oort, F V A; Bouma, E M C; Laceulle, O M; Oldehinkel, A J; Ormel, J

2015-08-01

Hypothalamic-pituitary-adrenal axis functioning, with cortisol as its major output hormone, has been presumed to play a key role in the development of psychopathology. Predicting affective disorders from diurnal cortisol levels has been inconclusive, whereas the predictive value of stress-induced cortisol concentrations has not been studied before. The aim of this study was to predict mental disorders over a 3-year follow-up from awakening and stress-induced cortisol concentrations. Data were used from 561 TRAILS (TRacking Adolescents' Individual Lives Survey) participants, a prospective cohort study of Dutch adolescents. Saliva samples were collected at awakening and half an hour later and during a social stress test at age 16. Mental disorders were assessed 3 years later with the Composite International Diagnostic Interview (CIDI). A lower cortisol awakening response (CAR) marginally significantly predicted new disorders [odds ratio (OR) 0.77, p = 0.06]. A flat recovery slope predicted disorders with a first onset after the experimental session (OR 1.27, p = 0.04). Recovery revealed smaller, non-significant ORs when predicting new onset affective or anxiety disorders, major depressive disorder, or dependence disorders in three separate models, corrected for all other new onsets. Our results suggest that delayed recovery and possibly reduced CAR are indicators of a more general risk status and may be part of a common pathway to psychopathology. Delayed recovery suggests that individuals at risk for mental disorders perceived the social stress test as less controllable and less predictable.

Psychopathology in adolescent offspring of parents with panic disorder, major depression, or both: a 10-year follow-up.

PubMed

Hirshfeld-Becker, Dina R; Micco, Jamie A; Henin, Aude; Petty, Carter; Faraone, Stephen V; Mazursky, Heather; Bruett, Lindsey; Rosenbaum, Jerrold F; Biederman, Joseph

2012-11-01

The authors examined the specificity and course of psychiatric disorders from early childhood through adolescence in offspring of parents with confirmed panic disorder and major depressive disorder. The authors examined rates of psychiatric disorders at 10-year-follow-up (mean age, 14 years) in four groups: offspring of referred parents with panic and depression (N=137), offspring of referred parents with panic without depression (N=26), offspring of referred parents with depression without panic (N=48), and offspring of nonreferred parents with neither disorder (N=80). Follow-up assessments relied on structured interviews with the adolescents and their mothers; diagnoses were rated present if endorsed by either. Parental panic disorder, independently of parental depression, predicted lifetime rates in offspring of multiple anxiety disorders, panic disorder, agoraphobia, social phobia, and obsessive-compulsive disorder. Parental depression independently predicted offspring bipolar, drug use, and disruptive behavior disorders. Parental panic and depression interacted to predict specific phobia and major depressive disorder. Phobias were elevated in all at-risk groups, and depression was elevated in both offspring groups of parents with depression (with or without panic disorder), with the highest rates in the offspring of parents with depression only. Parental depression independently predicted new onset of depression, parental panic disorder independently predicted new onset of social phobia, and the two interacted to predict new onset of specific phobia and generalized anxiety disorder. At-risk offspring continue to develop new disorders as they progress through adolescence. These results support the need to screen and monitor the offspring of adults presenting for treatment of panic disorder or major depressive disorder.

Internet-Based Motivation Program for Women With Eating Disorders: Eating Disorder Pathology and Depressive Mood Predict Dropout

PubMed Central

Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

2014-01-01

Background One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. Objective The aim of the present study was to identify predictors of dropout from this Web program. Methods A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants’ age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. Results The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Conclusions Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment. PMID:24686856

Predicting quality of life in multiple sclerosis: accounting for physical disability, fatigue, cognition, mood disorder, personality, and behavior change.

PubMed

Benedict, Ralph H B; Wahlig, Elizabeth; Bakshi, Rohit; Fishman, Inna; Munschauer, Frederick; Zivadinov, Robert; Weinstock-Guttman, Bianca

2005-04-15

Health-related quality of life (HQOL) is poor in multiple sclerosis (MS) but the clinical precipitants of the problem are not well understood. Previous correlative studies demonstrated relationships between various clinical parameters and diminished HQOL in MS. Unfortunately, these studies failed to account for multiple predictors in the same analysis. We endeavored to determine what clinical parameters account for most variance in predicting HQOL, and employability, while accounting for disease course, physical disability, fatigue, cognition, mood disorder, personality, and behavior disorder. In 120 MS patients, we measured HQOL (MS Quality of Life-54) and vocational status (employed vs. disabled) and then conducted detailed clinical testing. Data were analyzed by linear and logistic regression methods. MS patients reported lower HQOL (p<0.001) and were more likely to be disabled (45% of patients vs. 0 controls). Physical HQOL was predicted by fatigue, depression, and physical disability. Mental HQOL was associated with only depression and fatigue. In contrast, vocational status was predicted by three cognitive tests, conscientiousness, and disease duration (p<0.05). Thus, for the first time, we predicted HQOL in MS while accounting for measures from these many clinical domains. We conclude that self-report HQOL indices are most strongly predicted by measures of depression, whereas vocational status is predicted primarily by objective measures of cognitive function. The findings highlight core clinical problems that merit early identification and further research regarding the development of effective treatment.

Machine learning of structural magnetic resonance imaging predicts psychopathic traits in adolescent offenders.

PubMed

Steele, Vaughn R; Rao, Vikram; Calhoun, Vince D; Kiehl, Kent A

2017-01-15

Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these models are applied to discriminating clinical groups such as schizophrenic patients from healthy controls or from patients with bipolar disorder. A more nuanced model might be to discriminate between levels of personality traits. Here, as a proof of concept, we take an initial step toward developing prediction models to differentiate individuals based on a personality disorder: psychopathy. We included three groups of adolescent participants: incarcerated youth with elevated psychopathic traits (i.e., callous and unemotional traits and conduct disordered traits; n=71), incarcerated youth with low psychopathic traits (n=72), and non-incarcerated youth as healthy controls (n=21). Support vector machine (SVM) learning models were developed to separate these groups using an out-of-sample cross-validation method on voxel-based morphometry (VBM) data. Regions of interest from the paralimbic system, identified in an independent forensic sample, were successful in differentiating youth groups. Models seeking to classify incarcerated individuals to have high or low psychopathic traits achieved 69.23% overall accuracy. As expected, accuracy increased in models differentiating healthy controls from individuals with high psychopathic traits (82.61%) and low psychopathic traits (80.65%). Here we have laid the foundation for using neural correlates of personality traits to identify group membership within and beyond psychopathy. This is only the first step, of many, toward prediction models using neural measures as a proxy for personality traits. As these methods are improved, prediction models with neural measures of personality traits could have far-reaching impact on diagnosis, treatment, and prediction of future behavior. Copyright © 2015 Elsevier Inc. All rights reserved.

Machine Learning of Structural Magnetic Resonance Imaging Predicts Psychopathic Traits in Adolescent Offenders

PubMed Central

Steele, Vaughn R.; Rao, Vikram; Calhoun, Vince D.; Kiehl, Kent A.

2015-01-01

Classification models are becoming useful tools for finding patterns in neuroimaging data sets that are not observable to the naked eye. Many of these models are applied to discriminating clinical groups such as schizophrenic patients from healthy controls or from patients with bipolar disorder. A more nuanced model might be to discriminate between levels of personality traits. Here, as a proof-of-concept, we take an initial step toward developing prediction models to differentiate individuals based on a personality disorder: psychopathy. We included three groups of adolescent participants: incarcerated youth with elevated psychopathic traits (i.e., callous and unemotional traits and conduct disordered traits; n = 71), incarcerated youth with low psychopathic traits (n =72), and non-incarcerated youth as healthy controls (n = 21). Support vector machine (SVM) learning models were developed to separate these groups using an out-of-sample cross-validation method on voxel-based morphometry (VBM) data. Regions-of-interest from the paralimbic system, identified in an independent forensic sample, were successful in differentiating youth groups. Models seeking to classify incarcerated individuals to have high or low psychopathic traits achieved 69.23% overall accuracy. As expected, accuracy increased in models differentiating healthy controls from individuals with high psychopathic traits (82.61%) and low psychopathic traits (80.65%). Here we have laid the foundation for using neural correlates of personality traits to identify group membership within and beyond psychopathy. This is only the first step, of many, toward prediction models using neural measures as a proxy for personality traits. As these methods are improved, prediction models with neural measures of personality traits could have far-reaching impact on diagnosis, treatment, and prediction of future behavior. PMID:26690808

The association between team climate at work and mental health in the Finnish Health 2000 Study.

PubMed

Sinokki, M; Hinkka, K; Ahola, K; Koskinen, S; Klaukka, T; Kivimäki, M; Puukka, P; Lönnqvist, J; Virtanen, M

2009-08-01

Depression, anxiety and alcohol use disorders are common mental health problems in the working population. However, the team climate at work related to these disorders has not been studied using standardised interview methods and it is not known whether poor team climate predicts antidepressant use. This study investigated whether team climate at work was associated with DSM-IV depressive, anxiety and alcohol use disorders and subsequent antidepressant medication in a random sample of Finnish employees. The nationally representative sample comprised 3347 employees aged 30-64 years. Team climate was measured with a self-assessment scale. Diagnoses of depressive, anxiety and alcohol use disorders were based on the Composite International Diagnostic Interview. Data on the purchase of antidepressant medication in a 3-year follow-up period were collected from a nationwide pharmaceutical register of the Social Insurance Institution. In the risk factor adjusted models, poor team climate at work was significantly associated with depressive disorders (OR 1.61, 95% CI 1.10 to 2.36) but not with alcohol use disorders. The significance of the association between team climate and anxiety disorders disappeared when the model was adjusted for job control and job demands. Poor team climate also predicted antidepressant medication (OR 1.53, 95% CI 1.02 to 2.30). A poor team climate at work is associated with depressive disorders and subsequent antidepressant use.

Stressful Life Events Predict Eating Disorder Relapse Following Remission: Six-Year Prospective Outcomes

PubMed Central

Grilo, Carlos M.; Pagano, Maria E.; Stout, Robert L.; Markowitz, John C.; Ansell, Emily B.; Pinto, Anthony; Zanarini, Mary C.; Yen, Shirley; Skodol, Andrew E.

2012-01-01

Objective To examine prospectively the natural course of bulimia nervosa (BN) and eating disorder not-otherwise-specified (EDNOS) and test for the effects of stressful life events (SLE) on relapse after remission from these eating disorders. Method 117 female patients with BN (N = 35) or EDNOS (N = 82) were prospectively followed for 72 months using structured interviews performed at baseline, 6- and 12-months, and then yearly thereafter. ED were assessed with the structured clinical interview for DSM-IV, and monitored over time with the longitudinal interval follow-up evaluation. Personality disorders were assessed with the diagnostic interview for DSM-IV-personality-disorders, and monitored over time with the follow-along-version. The occurrence and specific timing of SLE were assessed with the life events assessment interview. Cox proportional-hazard-regression-analyses tested associations between time-varying levels of SLE and ED relapse, controlling for comorbid psychiatric disorders, ED duration, and time-varying personality-disorder status. Results ED relapse probability was 43%; BN and EDNOS did not differ in time to relapse. Negative SLE significantly predicted ED relapse; elevated work and social stressors were significant predictors. Psychiatric comorbidity, ED duration, and time-varying personality-disorder status were not significant predictors. Discussion Higher work and social stress represent significant warning signs for triggering relapse for women with remitted BN and EDNOS. PMID:21448971

Identifying intrinsically disordered protein regions likely to undergo binding-induced helical transitions.

PubMed

Glover, Karen; Mei, Yang; Sinha, Sangita C

2016-10-01

Many proteins contain intrinsically disordered regions (IDRs) lacking stable secondary and ordered tertiary structure. IDRs are often implicated in macromolecular interactions, and may undergo structural transitions upon binding to interaction partners. However, as binding partners of many protein IDRs are unknown, these structural transitions are difficult to verify and often are poorly understood. In this study we describe a method to identify IDRs that are likely to undergo helical transitions upon binding. This method combines bioinformatics analyses followed by circular dichroism spectroscopy to monitor 2,2,2-trifluoroethanol (TFE)-induced changes in secondary structure content of these IDRs. Our results demonstrate that there is no significant change in the helicity of IDRs that are not predicted to fold upon binding. IDRs that are predicted to fold fall into two groups: one group does not become helical in the presence of TFE and includes examples of IDRs that form β-strands upon binding, while the other group becomes more helical and includes examples that are known to fold into helices upon binding. Therefore, we propose that bioinformatics analyses combined with experimental evaluation using TFE may provide a general method to identify IDRs that undergo binding-induced disorder-to-helix transitions. Copyright © 2016 Elsevier B.V. All rights reserved.

A Bioinformatics Approach to the Structure, Function, and Evolution of the Nucleoprotein of the Order Mononegavirales

PubMed Central

Cleveland, Sean B.; Davies, John; McClure, Marcella A.

2011-01-01

The goal of this Bioinformatic study is to investigate sequence conservation in relation to evolutionary function/structure of the nucleoprotein of the order Mononegavirales. In the combined analysis of 63 representative nucleoprotein (N) sequences from four viral families (Bornaviridae, Filoviridae, Rhabdoviridae, and Paramyxoviridae) we predict the regions of protein disorder, intra-residue contact and co-evolving residues. Correlations between location and conservation of predicted regions illustrate a strong division between families while high- lighting conservation within individual families. These results suggest the conserved regions among the nucleoproteins, specifically within Rhabdoviridae and Paramyxoviradae, but also generally among all members of the order, reflect an evolutionary advantage in maintaining these sites for the viral nucleoprotein as part of the transcription/replication machinery. Results indicate conservation for disorder in the C-terminus region of the representative proteins that is important for interacting with the phosphoprotein and the large subunit polymerase during transcription and replication. Additionally, the C-terminus region of the protein preceding the disordered region, is predicted to be important for interacting with the encapsidated genome. Portions of the N-terminus are responsible for N∶N stability and interactions identified by the presence or lack of co-evolving intra-protein contact predictions. The validation of these prediction results by current structural information illustrates the benefits of the Disorder, Intra-residue contact and Compensatory mutation Correlator (DisICC) pipeline as a method for quickly characterizing proteins and providing the most likely residues and regions necessary to target for disruption in viruses that have little structural information available. PMID:21559282

Stress reactivity predicts symptom improvement in children with anxiety disorders.

PubMed

Dieleman, Gwendolyn C; Huizink, Anja C; Tulen, Joke H M; Utens, Elisabeth M W J; Tiemeier, Henning

2016-05-15

We examined the longitudinal associations of autonomic nervous system (ANS) and hypothalamic-pituitary-adrenal (HPA) axis rest and reactivity measures with anxiety and depressive symptoms at one-year follow-up in children with anxiety disorders. In a clinical sample of 152 children with a primary DSM-IV anxiety disorder, aged 8 to 12 years, anxiety and depressive symptoms were assessed with the Multidimensional Anxiety Scale for Children and the Children's Depression Inventory at pre-treatment baseline and one year later, after treatment with cognitive behavioral therapy. At baseline, children participated in a 70min stress task. Salivary cortisol was measured directly prior to and 20min post stress task. Skin conductance level (SCL), heart rate and high frequency heart rate variability (HRV) were continuously measured during rest and the stress task. To investigate if rest or reactivity measures predicted anxiety and depressive symptoms at one year follow-up, linear regression analyses were conducted for rest and reactivity measures of SCL, heart rate, HRV and cortisol separately. Higher SCL reactivity predicted less decrease of anxiety symptoms at one-year follow-up. Cortisol reactivity showed a weak association with depressive symptoms at one-year follow-up: lower cortisol reactivity predicted less decrease in depressive symptoms. Only self-reported anxiety and depressive symptoms were used. However, all predictors were objective biological measures, hence there is no risk of shared method variance bias. These findings suggest that pre-treatment HPA and ANS responsiveness to stress are predictive biomarkers for a lack of symptom improvement in children with a clinical anxiety disorder. Copyright © 2016 Elsevier B.V. All rights reserved.

Pattern destabilization and emotional processing in cognitive therapy for personality disorders

PubMed Central

Hayes, Adele M.; Yasinski, Carly

2015-01-01

Clinical trials of treatments for personality disorders can provide a medium for studying the process of therapeutic change with particularly entrenched and self-perpetuating systems and might reveal important principles of system transition. We examined the extent to which maladaptive personality patterns were destabilized in a trial of cognitive therapy personality disorders (CT-PD) and how destabilization was associated with emotional processing and treatment outcomes. Dynamic systems theory was used as a theoretical framework for studying change. Method: Participants were 27 patients diagnosed with Avoidant or Obsessive Compulsive Personality Disorder (AVPD or OCPD), who completed an open trial of CT-PD. Raters coded treatment sessions using a coding system that operationalizes emotional processing, as well as cognitive, affective, behavioral, and somatic components of pathological (negative) and more adaptive (positive) patterns of functioning. Pattern destabilization (dispersion) scores during the early phase of treatment (phase 1: session 1–10) and the schema-focused phase (phase 2: session 11–34) were calculated using a program called GridWare. Results: More pattern destabilization and emotional processing in the schema-focused phase of CT-PD predicted more improvement in personality disorder symptoms and positive pattern strength at the end of treatment, whereas these variables in phase 1 did not predict outcome. Conclusion: In addition to illustrating a quantitative method for studying destabilization and change of patterns of psychopathology, we present findings that are consistent with recent updates of emotional processing theory and with principles from dynamic systems theory. PMID:25755647

Predicting clinical symptoms of attention deficit hyperactivity disorder based on temporal patterns between and within intrinsic connectivity networks.

PubMed

Wang, Xun-Heng; Jiao, Yun; Li, Lihua

2017-10-24

Attention deficit hyperactivity disorder (ADHD) is a common brain disorder with high prevalence in school-age children. Previously developed machine learning-based methods have discriminated patients with ADHD from normal controls by providing label information of the disease for individuals. Inattention and impulsivity are the two most significant clinical symptoms of ADHD. However, predicting clinical symptoms (i.e., inattention and impulsivity) is a challenging task based on neuroimaging data. The goal of this study is twofold: to build predictive models for clinical symptoms of ADHD based on resting-state fMRI and to mine brain networks for predictive patterns of inattention and impulsivity. To achieve this goal, a cohort of 74 boys with ADHD and a cohort of 69 age-matched normal controls were recruited from the ADHD-200 Consortium. Both structural and resting-state fMRI images were obtained for each participant. Temporal patterns between and within intrinsic connectivity networks (ICNs) were applied as raw features in the predictive models. Specifically, sample entropy was taken asan intra-ICN feature, and phase synchronization (PS) was used asan inter-ICN feature. The predictive models were based on the least absolute shrinkage and selectionator operator (LASSO) algorithm. The performance of the predictive model for inattention is r=0.79 (p<10 -8 ), and the performance of the predictive model for impulsivity is r=0.48 (p<10 -8 ). The ICN-related predictive patterns may provide valuable information for investigating the brain network mechanisms of ADHD. In summary, the predictive models for clinical symptoms could be beneficial for personalizing ADHD medications. Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Evaluation of the diagnostic yield of dental radiography and cone-beam computed tomography for the identification of dental disorders in small to medium-sized brachycephalic dogs.

PubMed

Döring, Sophie; Arzi, Boaz; Hatcher, David C; Kass, Philip H; Verstraete, Frank J M

2018-01-01

OBJECTIVE To evaluate the diagnostic yield of dental radiography (Rad method) and cone-beam CT (CBCT) methods for the identification of 31 predefined dental disorders in brachycephalic dogs. ANIMALS 19 client-owned brachycephalic dogs admitted for evaluation and treatment of dental disease. PROCEDURES 31 predefined dental disorders were evaluated separately and scored by use of dental radiography and 3 CBCT software modules (serial CBCT slices and custom cross sections, tridimensional rendering, and reconstructed panoramic views). A qualitative scoring system was used. Dental disorders were grouped into 10 categories for statistical analysis. Point of reference for presence or absence of a dental disorder was determined as the method that could be used to clearly identify the disorder as being present. Accuracy, sensitivity, specificity, and positive and negative predictive values were calculated with the McNemar χ 2 test of marginal homogeneity of paired data. RESULTS When all 3 CBCT methods were used in combination, the diagnostic yield of CBCT was significantly higher than that of dental radiography for 4 of 10 categories (abnormal eruption, abnormally shaped roots, periodontitis, and tooth resorption) and higher, although not significantly so, for all categories, except for 1 (loss of tooth integrity). CONCLUSIONS AND CLINICAL RELEVANCE CBCT provided more detailed information than did dental radiography. Therefore, CBCT would be better suited for use in diagnosing dental disorders in brachycephalic dogs.

Frequency weighting derived from power absorption of fingers-hand-arm system under z(h)-axis vibration.

PubMed

Dong, Ren G; Welcome, Daniel E; McDowell, Thomas W; Wu, John Z; Schopper, Aaron W

2006-01-01

The objectives of this study are to derive the frequency weighting from three vibration power absorption (VPA) methods (finger VPA, palm VPA, and total or hand VPA), and to explore whether these energy methods are better than the currently accepted acceleration method. To calculate the VPA weightings, the mechanical impedance of eight subjects exposed to a broadband random vibration spectrum in the z(h)-axis using 18 combinations of hand couplings and applied forces was measured. The VPA weightings were compared with the frequency weighting specified in ISO 5349-1 [2001. Mechanical Vibration--Measurement and Evaluation of Human Exposure to Hand--Transmitted Vibration--Part 1: General Requirements. International Organization for Standardization, Geneva, Switzerland]. This study found that the hand and palm VPA weightings are very similar to the ISO weighting but the finger VPA weighting for the combined grip and push action is much higher than the ISO weighting at frequencies higher than 25 Hz. Therefore, this study predicted that the total power absorption of the entire hand-arm system is likely to be correlated with psychophysical response or subjective sensation. However, if the ISO weighting method cannot yield good predictions of the vibration-induced disorders in the fingers and hand, the hand and palm energy methods are unlikely to yield significantly better predictions. The finger VPA is a vibration measure between unweighted and ISO weighted accelerations. The palm VPA method may have some value for studying the disorders in the wrist-arm system.

Predictive Validity of Attentional Functions in Differentiating Children with and without ADHD: A Componential Analysis

ERIC Educational Resources Information Center

Kaufmann, Liane; Zieren, Nikola; Zotter, Sibylle; Karall, Daniela; Scholl-Burgi, Sabine; Haberlandt, Edda; Fimm, Bruno

2010-01-01

Aim: The objective of this study was to investigate which attentional components are of predictive utility in differentiating children with attention-deficit-hyperactivity disorder, combined type (ADHD-C) from their peers without ADHD. Methods: Thirty-four children participated in the study: 17 males with ADHD-C (mean age 10y 4mo, SD 1y 9mo) and…

RISK FOR SWITCH FROM UNIPOLAR TO BIPOLAR DISORDER IN YOUTH WITH ADHD: A LONG TERM PROSPECTIVE CONTROLLED STUDY

PubMed Central

Biederman, Joseph; Petty, Carter R.; Byrne, Deirdre; Wong, Patricia; Wozniak, Janet; Faraone, Stephen V.

2009-01-01

Background To investigate whether ADHD is a risk factor for switches from unipolar to bipolar disorder over time. Methods Data from two large controlled longitudinal family studies of boys and girls with and without ADHD and their siblings were used. Subjects (n=168) were followed prospectively and blindly over an average follow up period of 7 years. Comparisons were made between youth with unipolar major depression who did and did not switch to full or subthreshold BP-I disorder at the follow-up assessment. Subjects were assessed at baseline and follow-up on multiple domains of functioning. Positive family history of parental psychiatric disorders was also compared between groups. Results ADHD was associated with a significantly higher risk for switches from unipolar to bipolar disorder (28% vs 6%; z=2.80, p=0.005). In subjects with ADHD, switches from unipolar to bipolar disorder were predicted by baseline comorbid conduct disorder, school behavior problems, and a positive family history of parental mood disorder. Limitations Psychosis was an exclusionary criterion in the original ascertainment of the studies of ADHD probands, so we were unable to test this as a predictor of switching to BPD. Conclusions ADHD is a risk factor for switches from unipolar to bipolar disorder, and switches could be predicted by the presence of baseline conduct disorder, school behavior problems, and a positive family history of a mood disorder in a parent. These characteristics can aid clinicians in their treatment of youth with MDD. PMID:19324422

Childhood adversity, early-onset depressive/anxiety disorders, and adult-onset asthma.

PubMed

Scott, Kate M; Von Korff, Michael; Alonso, Jordi; Angermeyer, Matthias C; Benjet, Corina; Bruffaerts, Ronny; de Girolamo, Giovanni; Haro, Josep Maria; Kessler, Ronald C; Kovess, Viviane; Ono, Yutaka; Ormel, Johan; Posada-Villa, José

2008-11-01

To investigate a) whether childhood adversity predicts adult-onset asthma; b) whether early-onset depressive/anxiety disorders predict adult-onset asthma; and c) whether childhood adversity and early-onset depressive/anxiety disorders predict adult-onset asthma independently of each other. Previous research has suggested, but not established, that childhood adversity may predict adult-onset asthma and, moreover, that the association between mental disorders and asthma may be a function of shared risk factors, such as childhood adversity. Ten cross-sectional population surveys of household-residing adults (>18 years, n = 18,303) assessed mental disorders with the Composite International Diagnostic Interview (CIDI 3.0) as part of the World Mental Health surveys. Assessment of a range of childhood family adversities was included. Asthma was ascertained by self-report of lifetime diagnosis and age of diagnosis. Survival analyses calculated hazard ratios (HRs) for risk of adult-onset (>age 20 years) asthma as a function of number and type of childhood adversities and early-onset (

Protein disorder in the human diseasome: unfoldomics of human genetic diseases

PubMed Central

Midic, Uros; Oldfield, Christopher J; Dunker, A Keith; Obradovic, Zoran; Uversky, Vladimir N

2009-01-01

Background Intrinsically disordered proteins lack stable structure under physiological conditions, yet carry out many crucial biological functions, especially functions associated with regulation, recognition, signaling and control. Recently, human genetic diseases and related genes were organized into a bipartite graph (Goh KI, Cusick ME, Valle D, Childs B, Vidal M, et al. (2007) The human disease network. Proc Natl Acad Sci U S A 104: 8685–8690). This diseasome network revealed several significant features such as the common genetic origin of many diseases. Methods and findings We analyzed the abundance of intrinsic disorder in these diseasome network proteins by means of several prediction algorithms, and we analyzed the functional repertoires of these proteins based on prior studies relating disorder to function. Our analyses revealed that (i) Intrinsic disorder is common in proteins associated with many human genetic diseases; (ii) Different disease classes vary in the IDP contents of their associated proteins; (iii) Molecular recognition features, which are relatively short loosely structured protein regions within mostly disordered sequences and which gain structure upon binding to partners, are common in the diseasome, and their abundance correlates with the intrinsic disorder level; (iv) Some disease classes have a significant fraction of genes affected by alternative splicing, and the alternatively spliced regions in the corresponding proteins are predicted to be highly disordered; and (v) Correlations were found among the various diseasome graph-related properties and intrinsic disorder. Conclusion These observations provide the basis for the construction of the human-genetic-disease-associated unfoldome. PMID:19594871

Associations of Adolescent Emotional and Loss of Control Eating with 1-year Changes in Disordered Eating, Weight and Adiposity

PubMed Central

Stojek, Monika M. K.; Tanofsky-Kraff, Marian; Shomaker, Lauren B.; Kelly, Nichole R.; Thompson, Katherine A.; Mehari, Rim D.; Marwitz, Shannon E.; Demidowich, Andrew P.; Galescu, Ovidiu A.; Brady, Sheila M.; Yanovski, Susan Z.; Yanovski, Jack A.

2016-01-01

Objective Adolescent emotional-eating, referring to eating in response to negative affective states, is frequently reported by those with loss of control (LOC) eating. Although LOC eating has been shown to predict exacerbated disordered eating and excess weight/adiposity gain, the extent to which emotional-eating, either alone or in combination with LOC, predicts adverse outcomes has not been determined. Thus, we examined associations of baseline emotional-eating with changes in disordered eating, BMI, and adiposity over 1-year, and to what degree the presence or absence of baseline LOC moderated these associations. Methods 189 non-treatment-seeking youth (15.4±1.4y; 66% female; 67% non-Hispanic White, 38% overweight [BMI ≥85th %ile]) completed the emotional-eating Scale for Children/Adolescents and the Eating Disorder Examination interview at baseline and again at 1-year. Air displacement plethysmography assessed adiposity at both time points. Results Baseline emotional-eating alone was not significantly associated with the development of objective binge eating or changes in disordered eating attitudes, BMI or adiposity 1-year later. However, baseline emotional-eating interacted with the presence of baseline LOC in the prediction of 1-year outcomes. Among adolescents with LOC eating, greater baseline emotional-eating was related to increased disordered eating attitudes (p=.03), BMI (p=.04), and adiposity (p=.04) at 1-year, after correcting for false discovery rate. Discussion Emotional-eating among youth also reporting LOC was associated with adverse outcomes over 1-year. Adolescents who report both behaviors may represent a subset of individuals at especially high risk for exacerbated disordered eating and excess weight gain. PMID:27753140

Anxiety and depression as bidirectional risk factors for one another: A meta-analysis of longitudinal studies.

PubMed

Jacobson, Nicholas C; Newman, Michelle G

2017-11-01

Not only do anxiety and depression diagnoses tend to co-occur, but their symptoms are highly correlated. Although a plethora of research has examined longitudinal associations between anxiety and depression, these data have not yet been effectively synthesized. To address this need, the current study undertook a systematic review and meta-analysis of 66 studies involving 88,336 persons examining the prospective relationship between anxiety and depression at both symptom and disorder levels. Using mixed-effect models, results suggested that all types of anxiety symptoms predicted later depressive symptoms (r = .34), and all types of depressive symptoms predicted later anxiety symptoms (r = .31). Although anxiety symptoms more strongly predicted depressive symptoms than vice versa, the difference in effect size for this analysis was very small and likely not clinically meaningful. Additionally, all types of diagnosed anxiety disorders predicted all types of later depressive disorders (OR = 2.77), and all depressive disorders predicted later anxiety disorders (OR = 2.73). Most anxiety and depressive disorders predicted each other with similar degrees of strength, but depressive disorders more strongly predicted social anxiety disorder (OR = 6.05) and specific phobia (OR = 2.93) than vice versa. Contrary to conclusions of prior reviews, our findings suggest that depressive disorders may be prodromes for social and specific phobia, whereas other anxiety and depressive disorders are bidirectional risk factors for one another. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

Explanation of Obsessive-Compulsive Disorder and Major Depressive Disorder on the Basis of Thought-Action Fusion

PubMed Central

Ghamari Kivi, Hossein; Mohammadipour Rik, Ne’mat; Sadeghi Movahhed, Fariba

2013-01-01

Objective: Thought-action fusion (TAF) refers to the tendency to assume incorrect causal relationship between one’s own thoughts and external reality, in which, thoughts and actions are treated as equivalents. This construct is present to development and maintenance of many psychological disorders. The aim of the present study was to predict obsessive-compulsive disorder (OCD) and its types, and major depressive disorder (MDD) with TAF and its levels. Methods: Two groups, included 50 persons with OCD and MDD, respectively, were selected by convenience sampling method in private and governmental psychiatric centers in Ardabil, Iran. Then, they responded to Beck Depression Inventory, Padua Inventory and TAF scale. Data were analysed using multiple regressions analysis by stepwise method. Results: TAF or its subtypes (moral TAF, likelihood-self TAF and likelihood-others TAF) can explain 14% of MDD variance (p < 0.01), 15% of OCD variance (p < 0.01), and 8-21% of OCD types variance (p < 0.05). Moral TAF had high levels in OCD and MDD. Conclusion: The construct of TAF is not specific factor for OCD, and it is present in MDD, too. Declaration of interest: None. PMID:24644509

Escalation to Major Depressive Disorder among Adolescents with Subthreshold Depressive Symptoms: Evidence of Distinct Subgroups at Risk

PubMed Central

Hill, Ryan M.; Pettit, Jeremy W.; Lewinsohn, Peter M.; Seeley, John R.; Klein, Daniel N.

2014-01-01

Background The presence of subthreshold depressive symptoms (SubD) in adolescence is associated with high prospective risk of developing Major Depressive Disorder (MDD). Little is known about variables that predict escalation from SubD to MDD. This study used a longitudinal prospective design in a community sample of adolescents to identify combinations of risk factors that predicted escalation from SubD to MDD. Methods Classification tree analysis was used to identify combinations of risk factors that improved the sensitivity and specificity of prediction of MDD onset among 424 adolescents with a lifetime history of SubD. Results Of the 424, 144 developed MDD during the follow-up period. Evidence for multiple subgroups was found: Among adolescents with poor friend support, the highest risk of escalation was among participants with lifetime histories of an anxiety or substance use disorder. Among adolescents with high friend support, those reporting multiple major life events in the past year or with a history of an anxiety disorder were at highest risk of escalation. Limitations Study findings may not inform prevention efforts for individuals who first develop SubD during adulthood. This study did not examine the temporal ordering of predictors involved in escalation from SubD to MDD. Conclusions Adolescents with a history of SubD were at highest risk of escalation to MDD in the presence of poor friend support and an anxiety or substance use disorder, or in the presence of better friend support, multiple major life events, and an anxiety disorder. Findings may inform case identification approaches for adolescent depression prevention programs. PMID:24655777

The relevance of personality traits in impulsivity-related disorders: From substance use disorders and gambling disorder to bulimia nervosa

PubMed Central

del Pino-Gutiérrez, Amparo; Jiménez-Murcia, Susana; Fernández-Aranda, Fernando; Agüera, Zaida; Granero, Roser; Hakansson, Anders; Fagundo, Ana B.; Bolao, Ferran; Valdepérez, Ana; Mestre-Bach, Gemma; Steward, Trevor; Penelo, Eva; Moragas, Laura; Aymamí, Neus; Gómez-Peña, Mónica; Rigol-Cuadras, Assumpta; Martín-Romera, Virginia; Menchón, José M.

2017-01-01

Background and aims The main aim of this study was to analyze and describe the clinical characteristics and shared personality traits in different impulsivity–compulsivity spectrum disorders: substance use disorders (SUD), gambling disorder (GD), and bulimia nervosa (BN). The specific aims were to compare personality differences among individuals with pure SUD, BN with and without SUD, and GD with and without SUD. In addition, we assessed the differential predictive capacity of clinical and personality variables in relation to diagnostic subtype. Methods The sample comprised 998 subjects diagnosed according to DSM-IV-TR criteria: 101 patients were diagnosed with SUD, 482 with GD, 359 with BN, 11 with GD + SUD, and 45 patients with BN + SUD. Various assessment instruments were administered, as well as other clinical measures, to evaluate their predictive capacity. Results Marked differences in personality traits were observed between groups. Novelty seeking, harm avoidance, self-directedness, cooperation, and self-transcendence best differentiated the groups. Notably, novelty seeking was significantly higher in the two dual pathology subgroups. Patients with dual pathology showed the most dysfunctional personality profiles. Discussion and conclusion Our results indicate the existence of shared dysfunctional personality traits among the groups studied, especially in novelty seeking and self-directedness. PMID:28838248

The relevance of personality traits in impulsivity-related disorders: From substance use disorders and gambling disorder to bulimia nervosa.

PubMed

Del Pino-Gutiérrez, Amparo; Jiménez-Murcia, Susana; Fernández-Aranda, Fernando; Agüera, Zaida; Granero, Roser; Hakansson, Anders; Fagundo, Ana B; Bolao, Ferran; Valdepérez, Ana; Mestre-Bach, Gemma; Steward, Trevor; Penelo, Eva; Moragas, Laura; Aymamí, Neus; Gómez-Peña, Mónica; Rigol-Cuadras, Assumpta; Martín-Romera, Virginia; Menchón, José M

2017-09-01

Background and aims The main aim of this study was to analyze and describe the clinical characteristics and shared personality traits in different impulsivity-compulsivity spectrum disorders: substance use disorders (SUD), gambling disorder (GD), and bulimia nervosa (BN). The specific aims were to compare personality differences among individuals with pure SUD, BN with and without SUD, and GD with and without SUD. In addition, we assessed the differential predictive capacity of clinical and personality variables in relation to diagnostic subtype. Methods The sample comprised 998 subjects diagnosed according to DSM-IV-TR criteria: 101 patients were diagnosed with SUD, 482 with GD, 359 with BN, 11 with GD + SUD, and 45 patients with BN + SUD. Various assessment instruments were administered, as well as other clinical measures, to evaluate their predictive capacity. Results Marked differences in personality traits were observed between groups. Novelty seeking, harm avoidance, self-directedness, cooperation, and self-transcendence best differentiated the groups. Notably, novelty seeking was significantly higher in the two dual pathology subgroups. Patients with dual pathology showed the most dysfunctional personality profiles. Discussion and conclusion Our results indicate the existence of shared dysfunctional personality traits among the groups studied, especially in novelty seeking and self-directedness.

Suicidal Ideation in Anxiety-Disordered Youth: Identifying Predictors of Risk

PubMed Central

O'Neil Rodriguez, Kelly A.; Kendall, Philip C.

2014-01-01

Objective Evidence is mixed regarding an independent association between anxiety and suicidality. Beyond associations with demographic factors and depression, do anxiety disorders increase risk for suicidality in youth? Given that not all anxiety-disordered youth experience suicidal ideation, potential predictors of risk also require investigation. Method The present study examined (a) the independent relationship between anxiety and suicidal ideation and (b) emotion dysregulation and distress intolerance as predictors of risk for suicidal ideation in a sample of anxiety-disordered youth aged 7-17 (N = 86, M = 11.5). Youth and their parents reported on suicidality, emotion dysregulation, and distress intolerance. Distress tolerance was also measured by a computerized behavioral task. Results Results support an independent relationship between anxiety symptomatology and youth-reported suicidal ideation, controlling for depressive symptoms. Youth self-report of emotion dysregulation and distress intolerance predicted higher levels of suicidal ideation in univariate analyses. In a multivariate analysis including all significant predictors, only anxiety symptomatology uniquely predicted suicidal ideation. Conclusions Results provide recommendations for the assessment and treatment of suicidality in anxiety-disordered youth. Suggestions for future research investigating the relationship between anxiety and suicidal ideation are offered. PMID:24156368

Identification of Atg3 as an intrinsically disordered polypeptide yields insights into the molecular dynamics of autophagy-related proteins in yeast.

PubMed

Popelka, Hana; Uversky, Vladimir N; Klionsky, Daniel J

2014-06-01

The mechanism of autophagy relies on complex cell signaling and regulatory processes. Each cell contains many proteins that lack a rigid 3-dimensional structure under physiological conditions. These dynamic proteins, called intrinsically disordered proteins (IDPs) and protein regions (IDPRs), are predominantly involved in cell signaling and regulation. Yet, very little is known about their presence among proteins of the core autophagy machinery. In this work, we characterized the autophagy protein Atg3 from yeast and human along with 2 variants to show that Atg3 is an IDPRs-containing protein and that disorder/order predicted for these proteins from their amino acid sequence corresponds to their experimental characteristics. Based on this consensus, we applied the same prediction methods to all known Atg proteins from Saccharomyces cerevisiae. The data presented here provide an insight into the structural dynamics of each Atg protein. They also show that intrinsic disorder at various levels has to be taken into consideration for about half of the Atg proteins. This work should become a useful tool that will facilitate and encourage exploration of protein intrinsic disorder in autophagy.

Functional outcomes of child and adolescent mental disorders. Current disorder most important but psychiatric history matters as well.

PubMed

Ormel, J; Oerlemans, A M; Raven, D; Laceulle, O M; Hartman, C A; Veenstra, R; Verhulst, F C; Vollebergh, W; Rosmalen, J G M; Reijneveld, S A; Oldehinkel, A J

2017-05-01

Various sources indicate that mental disorders are the leading contributor to the burden of disease among youth. An important determinant of functioning is current mental health status. This study investigated whether psychiatric history has additional predictive power when predicting individual differences in functional outcomes. We used data from the Dutch TRAILS study in which 1778 youths were followed from pre-adolescence into young adulthood (retention 80%). Of those, 1584 youths were successfully interviewed, at age 19, using the World Health Organization Composite International Diagnostic Interview (CIDI 3.0) to assess current and past CIDI-DSM-IV mental disorders. Four outcome domains were assessed at the same time: economic (e.g. academic achievement, social benefits, financial difficulties), social (early motherhood, interpersonal conflicts, antisocial behavior), psychological (e.g. suicidality, subjective well-being, loneliness), and health behavior (e.g. smoking, problematic alcohol, cannabis use). Out of the 19 outcomes, 14 were predicted by both current and past disorders, three only by past disorders (receiving social benefits, psychiatric hospitalization, adolescent motherhood), and two only by current disorder (absenteeism, obesity). Which type of disorders was most important depended on the outcome. Adjusted for current disorder, past internalizing disorders predicted in particular psychological outcomes while externalizing disorders predicted in particular health behavior outcomes. Economic and social outcomes were predicted by a history of co-morbidity of internalizing and externalizing disorder. The risk of problematic cannabis use and alcohol consumption dropped with a history of internalizing disorder. To understand current functioning, it is necessary to examine both current and past psychiatric status.

Occupational imbalance and the role of perceived stress in predicting stress-related disorders.

PubMed

Håkansson, Carita; Ahlborg, Gunnar

2017-03-02

Stress-related disorders are the main reason for sick leave in many European countries. The aim of the present study was to explore whether perceived occupational imbalance predicts stress-related disorders, potential gender differences, and to explore the mediating role of perceived stress. Longitudinal data on 2223 employees in a public organization in Sweden were collected by surveys, and analyzed by logistic regression. Occupational imbalance predicted stress-related disorders among both women and men. However, what aspects of occupational imbalance which predicted stress-related disorders differ by gender. Perceived stress was not a mediator in these associations. How women and men perceived their occupational balance affected the risk of stress-related disorders. The results may be used to develop effective strategies to decrease stress-related disorders.

Social Anxiety Predicts Aggression in Children with ASD: Clinical Comparisons with Socially Anxious and Oppositional Youth

ERIC Educational Resources Information Center

Pugliese, Cara E.; White, Bradley A.; White, Susan W.; Ollendick, Thomas H.

2013-01-01

The present study examined the degree to which social anxiety predicts aggression in children with high functioning autism spectrum disorders (HFASD, n = 20) compared to children with Social Anxiety Disorder (SAD, n = 20) or with Oppositional Defiant Disorder or Conduct Disorder (ODD/CD, n = 20). As predicted, children with HFASD reported levels…

Prestimulus Inhibition of Saccades in Adults With and Without Attention-Deficit/Hyperactivity Disorder as an Index of Temporal Expectations.

PubMed

Dankner, Yarden; Shalev, Lilach; Carrasco, Marisa; Yuval-Greenberg, Shlomit

2017-07-01

Knowing when to expect important events to occur is critical for preparing context-appropriate behavior. However, anticipation is inherently complicated to assess because conventional measurements of behavior, such as accuracy and reaction time, are available only after the predicted event has occurred. Anticipatory processes, which occur prior to target onset, are typically measured only retrospectively by these methods. In this study, we utilized a novel approach for assessing temporal expectations through the dynamics of prestimulus saccades. Results showed that saccades of neurotypical participants were inhibited prior to the onset of stimuli that appeared at predictable compared with less predictable times. No such inhibition was found in most participants with attention-deficit/hyperactivity disorder (ADHD), and particularly not in those who experienced difficulties in sustaining attention over time. These findings suggest that individuals with ADHD, especially those with sustained-attention deficits, have diminished ability to benefit from temporal predictability, and this could account for some of their context-inappropriate behaviors.

Epileptic Seizures Prediction Using Machine Learning Methods

PubMed Central

Usman, Syed Muhammad

2017-01-01

Epileptic seizures occur due to disorder in brain functionality which can affect patient's health. Prediction of epileptic seizures before the beginning of the onset is quite useful for preventing the seizure by medication. Machine learning techniques and computational methods are used for predicting epileptic seizures from Electroencephalograms (EEG) signals. However, preprocessing of EEG signals for noise removal and features extraction are two major issues that have an adverse effect on both anticipation time and true positive prediction rate. Therefore, we propose a model that provides reliable methods of both preprocessing and feature extraction. Our model predicts epileptic seizures' sufficient time before the onset of seizure starts and provides a better true positive rate. We have applied empirical mode decomposition (EMD) for preprocessing and have extracted time and frequency domain features for training a prediction model. The proposed model detects the start of the preictal state, which is the state that starts few minutes before the onset of the seizure, with a higher true positive rate compared to traditional methods, 92.23%, and maximum anticipation time of 33 minutes and average prediction time of 23.6 minutes on scalp EEG CHB-MIT dataset of 22 subjects. PMID:29410700

A machine learning approach using EEG data to predict response to SSRI treatment for major depressive disorder.

PubMed

Khodayari-Rostamabad, Ahmad; Reilly, James P; Hasey, Gary M; de Bruin, Hubert; Maccrimmon, Duncan J

2013-10-01

The problem of identifying, in advance, the most effective treatment agent for various psychiatric conditions remains an elusive goal. To address this challenge, we investigate the performance of the proposed machine learning (ML) methodology (based on the pre-treatment electroencephalogram (EEG)) for prediction of response to treatment with a selective serotonin reuptake inhibitor (SSRI) medication in subjects suffering from major depressive disorder (MDD). A relatively small number of most discriminating features are selected from a large group of candidate features extracted from the subject's pre-treatment EEG, using a machine learning procedure for feature selection. The selected features are fed into a classifier, which was realized as a mixture of factor analysis (MFA) model, whose output is the predicted response in the form of a likelihood value. This likelihood indicates the extent to which the subject belongs to the responder vs. non-responder classes. The overall method was evaluated using a "leave-n-out" randomized permutation cross-validation procedure. A list of discriminating EEG biomarkers (features) was found. The specificity of the proposed method is 80.9% while sensitivity is 94.9%, for an overall prediction accuracy of 87.9%. There is a 98.76% confidence that the estimated prediction rate is within the interval [75%, 100%]. These results indicate that the proposed ML method holds considerable promise in predicting the efficacy of SSRI antidepressant therapy for MDD, based on a simple and cost-effective pre-treatment EEG. The proposed approach offers the potential to improve the treatment of major depression and to reduce health care costs. Copyright © 2013 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.

Preschool Neuropsychological Measures as Predictors of Later Attention Deficit Hyperactivity Disorder

PubMed Central

Breaux, Rosanna P.; Griffith, Shayl F.; Harvey, Elizabeth A.

2016-01-01

The present study examined preschool neuropsychological measures as predictors of school-age attention deficit hyperactivity disorder (ADHD). Participants included 168 children (91 males) who completed neuropsychological measures at ages 3 and 4, and who were evaluated for ADHD and oppositional defiant disorder at age 6. The Conners’ Kiddie Continuous Performance Test (K-CPT), NEPSY Statue subtest, and a delay aversion task significantly distinguished at-risk children who later did and did not meet criteria for ADHD, with poor to fair overall predictive power, specificity, and sensitivity. However, only the K-CPT ADHD Confidence Index and battery added incremental predictive validity beyond early ADHD symptoms. This battery approach, which required impairment on at least 2 of the 3 significant measures, yielded fair overall predictive power, specificity, and sensitivity, and correctly classified 67% of children. In addition, there was some support for the specificity hypothesis, with evidence that cool executive function measures (K-CPT and Statue subtest) tended to predict inattentive symptoms. These findings suggest that neuropsychological deficits are evident by preschool-age in children with ADHD, but neuropsychological tests may still misclassify approximately one-third of children if used alone. Thus, neuropsychological measures may be a useful component of early ADHD assessments, but should be used with caution and in combination with other assessment methods. PMID:26936037

An Investigation of Depression, Trauma History, and Symptom Severity in Individuals Enrolled in a Treatment Trial for Chronic PTSD

PubMed Central

Bedard-Gilligan, Michele; Duax Jakob, Jeanne M.; Doane, Lisa Stines; Jaeger, Jeff; Eftekhari, Afsoon; Feeny, Norah; Zoellner, Lori A.

2015-01-01

Objectives To explore how factors such as major depressive disorder (MDD) and trauma history, including the presence of childhood abuse, influence diverse clinical outcomes such as severity and functioning in a sample with posttraumatic stress disorder (PTSD). Method In this study, 200 men and women seeking treatment for chronic PTSD in a clinical trial were assessed for trauma history and major depressive disorder and compared on symptom severity, psychosocial functioning, dissociation, treatment history, and extent of diagnostic co-occurrence. Results Overall, childhood abuse did not consistently predict clinical severity. However, co-occurring MDD, and to a lesser extent a high level of trauma exposure, did predict greater severity, worse functioning, greater dissociation, more extensive treatment history, and additional co-occurring disorders. Conclusions These findings suggest that presence of co-occurring depression may be a more critical marker of severity and impairment than history of childhood abuse or repeated trauma exposure. Furthermore, they emphasize the importance of assessing MDD and its impact on treatment seeking and treatment response for those with PTSD. PMID:25900026

Source-Specific Oppositional Defiant Disorder among Inner-City Children: Prospective Prediction and Moderation

ERIC Educational Resources Information Center

Drabick, Deborah A. G.; Bubier, Jennifer; Chen, Diane; Price, Julia; Lanza, H. Isabella

2011-01-01

We examined prospective prediction from parent- and teacher-reported oppositional defiant disorder (ODD) symptoms to parent-reported ODD, conduct disorder (CD), major depressive disorder (MDD), and generalized anxiety disorder symptoms and whether child executive functioning abilities moderated these relations among an urban, low-income sample of…

Predicting outcomes of group cognitive behavior therapy for patients with affective and neurotic disorders.

PubMed

Hooke, Geoffrey R; Page, Andrew C

2002-10-01

An attempt was made to predict outcomes following group Cognitive Behavior Therapy (CBT) for patients with affective and neurotic disorders. A group of 348 patients at a private psychiatric clinic, treated in a group CBT program, completed the Depression, Anxiety, and Stress Scale (DASS) before and after treatment. Prior to treatment, data from the Locus of Control of Behavior (LCB), a Global Assessment of Function (GAF), the Health of the Nation Outcome Scales (HoNOS), and the Rosenberg Self Esteem Scale (RSE) were also collected. Results indicated that posttreatment stress scores of all patients were predicted by pretreatment stress and self-esteem. Among patients with neurotic disorders, posttreatment anxiety was predicted by initial anxiety and self-esteem whereas among patients with affective disorders, posttreatment anxiety scores were predicted by initial anxiety and GAF. For patients with neurotic disorders, self-esteem did not predict variance in posttreatment depression in addition to that explained by pretreatment depression. In contrast, for patients with affective disorders, pretreatment depression and Locus of Control predicted posttreatment depression.

Exploratory factor analysis of borderline personality disorder criteria in hospitalized adolescents.

PubMed

Becker, Daniel F; McGlashan, Thomas H; Grilo, Carlos M

2006-01-01

The authors examined the factor structure of borderline personality disorder (BPD) in hospitalized adolescents and also sought to add to the theoretical and clinical understanding of any homogeneous components by determining whether they may be related to specific forms of Axis I pathology. Subjects were 123 adolescent inpatients, who were reliably assessed with structured diagnostic interviews for Diagnostic and Statistical Manual of Mental Disorders, Revised Third Edition Axes I and II disorders. Exploratory factor analysis identified BPD components, and logistic regression analyses tested whether these components were predictive of specific Axis I disorders. Factor analysis revealed a 4-factor solution that accounted for 67.0% of the variance. Factor 1 ("suicidal threats or gestures" and "emptiness or boredom") predicted depressive disorders and alcohol use disorders. Factor 2 ("affective instability," "uncontrolled anger," and "identity disturbance") predicted anxiety disorders and oppositional defiant disorder. Factor 3 ("unstable relationships" and "abandonment fears") predicted only anxiety disorders. Factor 4 ("impulsiveness" and "identity disturbance") predicted conduct disorder and substance use disorders. Exploratory factor analysis of BPD criteria in adolescent inpatients revealed 4 BPD factors that appear to differ from those reported for similar studies of adults. The factors represent components of self-negation, irritability, poorly modulated relationships, and impulsivity--each of which is associated with characteristic Axis I pathology. These findings shed light on the nature of BPD in adolescents and may also have implications for treatment.

Examination of Predictors and Moderators for Self-help Treatments of Binge Eating Disorder

PubMed Central

Masheb, Robin M.; Grilo, Carlos M.

2008-01-01

Predictors and moderators of outcomes were examined in 75 overweight patients with binge eating disorder (BED) who participated in a randomized clinical trial of guided self-help treatments. Age variables, psychiatric and personality disorder comorbidity and clinical characteristics were tested as predictors and moderators of treatment outcomes. Current age and age of BED onset did not predict outcomes. Key dimensional outcomes (binge frequency, eating psychopathology, and negative affect) were predominately predicted, but not moderated, by their respective pretreatment levels. Presence of personality disorders, particularly Cluster C, predicted both post-treatment negative affect and eating disorder psychopathology. Negative affect, but not major depressive disorder, predicted attrition, and post-treatment negative affect and eating disorder psychopathology. Despite the prognostic significance of these findings for dimensional outcomes, none of the variables tested were predictive of binge remission (i.e., a categorical outcome). No moderator effects were found. The present study found poorer prognosis for patients with negative affect and personality disorders suggesting that treatment outcomes may be enhanced by attending to the cognitive and personality styles of these patients. PMID:18837607

The Path from Childhood Behavioural Disorders to Felony Offending: Investigating the Role of Adolescent Drinking, Peer Marginalization, and School Failure

PubMed Central

Savolainen, Jukka; Mason, W. Alex; Bolen, Jonathan D.; Chmelka, Mary B.; Hurtig, Tuula; Ebeling, Hanna; Nordström, Tanja; Taanila, Anja

2016-01-01

Background Although a pathway from childhood behavioural disorders to criminal offending is well-established, the aetiological processes remain poorly understood. Also, it is not clear if attention deficit hyperactivity disorder (ADHD) is predictive of crime in the absence of comorbid disruptive behaviour disorder (DBD). Hypothesis We examined two research questions: (1) Does ADHD have a unique effect on the risk of criminal offending, independently of DBD? (2) Is the effect of childhood behavioural disorders on criminal offending direct or mediated by adolescent processes related to school experience, substance misuse, and peers? Method Structural equation modelling, with latent variables, was applied to longitudinally collected data on 4,644 males from the 1986 Northern Finland Birth Cohort Study. Results Both ADHD and DBD separately predicted felony conviction risk. Most of these effects were mediated by adolescent alcohol use and low academic performance. The effect of DBD was stronger and included a direct pathway to criminal offending. Conclusion Findings were more consistent with the life course mediation hypothesis of pathways into crime, in that the effects of each disorder category were mediated by heavy drinking and educational failure. Preventing these adolescent risk outcomes may be an effective approach to closing pathways to criminal behaviour among behaviourally disordered children. However, as there was some evidence of a direct pathway from DBD, effective treatments targeting this disorder are also expected to reduce criminal offending. PMID:25250918

The role of body image psychological flexibility on the treatment of eating disorders in a residential facility.

PubMed

Bluett, E J; Lee, E B; Simone, M; Lockhart, G; Twohig, M P; Lensegrav-Benson, Tera; Quakenbush-Roberts, Benita

2016-12-01

The purpose of this study was to test whether pre-treatment levels of psychological flexibility would longitudinally predict quality of life and eating disorder risk in patients at a residential treatment facility for eating disorders. Data on body image psychological flexibility, quality of life, and eating disorder risk were collected from 63 adolescent and 50 adult, female, residential patients (N=113) diagnosed with an eating disorder. These same measures were again collected at post-treatment. Sequential multiple regression analyses were performed to test whether pre-treatment levels of psychological flexibility longitudinally predicted quality of life and eating disorder risk after controlling for age and baseline effects. Pre-treatment psychological flexibility significantly predicted post-treatment quality of life with approximately 19% of the variation being attributable to age and pre-treatment psychological flexibility. Pre-treatment psychological flexibility also significantly predicted post-treatment eating disorder risk with nearly 30% of the variation attributed to age and pre-treatment psychological flexibility. This study suggests that levels of psychological flexibility upon entering treatment for an eating disorder longitudinally predict eating disorder outcome and quality of life. Copyright © 2016 Elsevier Ltd. All rights reserved.

Major depressive disorder subtypes to predict long-term course

PubMed Central

van Loo, Hanna M.; Cai, Tianxi; Gruber, Michael J.; Li, Junlong; de Jonge, Peter; Petukhova, Maria; Rose, Sherri; Sampson, Nancy A.; Schoevers, Robert A.; Wardenaar, Klaas J.; Wilcox, Marsha A.; Al-Hamzawi, Ali Obaid; Andrade, Laura Helena; Bromet, Evelyn J.; Bunting, Brendan; Fayyad, John; Florescu, Silvia E.; Gureje, Oye; Hu, Chiyi; Huang, Yueqin; Levinson, Daphna; Medina-Mora, Maria Elena; Nakane, Yoshibumi; Posada-Villa, Jose; Scott, Kate M.; Xavier, Miguel; Zarkov, Zahari; Kessler, Ronald C.

2016-01-01

Background Variation in course of major depressive disorder (MDD) is not strongly predicted by existing subtype distinctions. A new subtyping approach is considered here. Methods Two data mining techniques, ensemble recursive partitioning and Lasso generalized linear models (GLMs) followed by k-means cluster analysis, are used to search for subtypes based on index episode symptoms predicting subsequent MDD course in the World Mental Health (WMH) Surveys. The WMH surveys are community surveys in 16 countries. Lifetime DSM-IV MDD was reported by 8,261 respondents. Retrospectively reported outcomes included measures of persistence (number of years with an episode; number of with an episode lasting most of the year) and severity (hospitalization for MDD; disability due to MDD). Results Recursive partitioning found significant clusters defined by the conjunctions of early onset, suicidality, and anxiety (irritability, panic, nervousness-worry-anxiety) during the index episode. GLMs found additional associations involving a number of individual symptoms. Predicted values of the four outcomes were strongly correlated. Cluster analysis of these predicted values found three clusters having consistently high, intermediate, or low predicted scores across all outcomes. The high-risk cluster (30.0% of respondents) accounted for 52.9-69.7% of high persistence and severity and was most strongly predicted by index episode severe dysphoria, suicidality, anxiety, and early onset. A total symptom count, in comparison, was not a significant predictor. Conclusions Despite being based on retrospective reports, results suggest that useful MDD subtyping distinctions can be made using data mining methods. Further studies are needed to test and expand these results with prospective data. PMID:24425049

First-principles studiesy of the order-disorder phase transition in FeCo using Wang-Landau Monte-Carlo method

NASA Astrophysics Data System (ADS)

Pei, Zongrui; Eisenbach, Markus; Stocks, G. Malcolm

Simulating order-disorder phase transitions in magnetic materials requires the accurate treatment of both the atomic and magnetic interactions, which span a vast configuration space. Using FeCo as a prototype system, we demonstrate that this can be addressed by combining the Locally Self-consistent Multiple Scattering (LSMS) method with the Wang-Landau (WL) Monte-Carlo algorithm. Fe-Co based materials are interesting magnetic materials but a reliable phase diagram of the binary Fe-Co system is still difficult to obtain. Using the combined WL-LSMS method we clarify the existence of the disordered A2 phase and predict the Curie temperature between it and the ordered B2 phase. The WL-LSMS method is readily applicable to the study of second-order phase transitions in other binary and multi-component alloys, thereby providing a means to the direct simulation of order-disorder phase transitions in complex alloys without need of intervening classical model Hamiltonians. We also demonstrate the capability of our method to guide the design of new magnetic materials. This research was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences, Materials Science and Engineering Division and it used Oak Ridge Leadership Computing Facility resources at Oak Ridge National Laboratory.

Prediction of Human Phenotype Ontology terms by means of hierarchical ensemble methods.

PubMed

Notaro, Marco; Schubach, Max; Robinson, Peter N; Valentini, Giorgio

2017-10-12

The prediction of human gene-abnormal phenotype associations is a fundamental step toward the discovery of novel genes associated with human disorders, especially when no genes are known to be associated with a specific disease. In this context the Human Phenotype Ontology (HPO) provides a standard categorization of the abnormalities associated with human diseases. While the problem of the prediction of gene-disease associations has been widely investigated, the related problem of gene-phenotypic feature (i.e., HPO term) associations has been largely overlooked, even if for most human genes no HPO term associations are known and despite the increasing application of the HPO to relevant medical problems. Moreover most of the methods proposed in literature are not able to capture the hierarchical relationships between HPO terms, thus resulting in inconsistent and relatively inaccurate predictions. We present two hierarchical ensemble methods that we formally prove to provide biologically consistent predictions according to the hierarchical structure of the HPO. The modular structure of the proposed methods, that consists in a "flat" learning first step and a hierarchical combination of the predictions in the second step, allows the predictions of virtually any flat learning method to be enhanced. The experimental results show that hierarchical ensemble methods are able to predict novel associations between genes and abnormal phenotypes with results that are competitive with state-of-the-art algorithms and with a significant reduction of the computational complexity. Hierarchical ensembles are efficient computational methods that guarantee biologically meaningful predictions that obey the true path rule, and can be used as a tool to improve and make consistent the HPO terms predictions starting from virtually any flat learning method. The implementation of the proposed methods is available as an R package from the CRAN repository.

Predicting Future Antisocial Personality Disorder in Males from a Clinical Assessment in Childhood

ERIC Educational Resources Information Center

Lahey, Benjamin B.; Loeber, Rolf; Burke, Jeffrey D.; Applegate, Brooks

2005-01-01

It is essential to identify childhood predictors of adult antisocial personality disorder (APD) to target early prevention. It has variously been hypothesized that APD is predicted by childhood conduct disorder (CD), attention-deficit/hyperactivity disorder (ADHD), or both disorders. To test these competing hypotheses, the authors used data from a…

Explanation of obsessive-compulsive disorder and major depressive disorder on the basis of thought-action fusion.

PubMed

Ghamari Kivi, Hossein; Mohammadipour Rik, Ne'mat; Sadeghi Movahhed, Fariba

2013-01-01

Thought-action fusion (TAF) refers to the tendency to assume incorrect causal relationship between one's own thoughts and external reality, in which, thoughts and actions are treated as equivalents. This construct is present to development and maintenance of many psychological disorders. The aim of the present study was to predict obsessive-compulsive disorder (OCD) and its types, and major depressive disorder (MDD) with TAF and its levels. Two groups, included 50 persons with OCD and MDD, respectively, were selected by convenience sampling method in private and governmental psychiatric centers in Ardabil, Iran. Then, they responded to Beck Depression Inventory, Padua Inventory and TAF scale. Data were analysed using multiple regressions analysis by stepwise method. TAF or its subtypes (moral TAF, likelihood-self TAF and likelihood-others TAF) can explain 14% of MDD variance (p < 0.01), 15% of OCD variance (p < 0.01), and 8-21% of OCD types variance (p < 0.05). Moral TAF had high levels in OCD and MDD. The construct of TAF is not specific factor for OCD, and it is present in MDD, too. None.

General theory for calculating disorder-averaged Green's function correlators within the coherent potential approximation

NASA Astrophysics Data System (ADS)

Zhou, Chenyi; Guo, Hong

2017-01-01

We report a diagrammatic method to solve the general problem of calculating configurationally averaged Green's function correlators that appear in quantum transport theory for nanostructures containing disorder. The theory treats both equilibrium and nonequilibrium quantum statistics on an equal footing. Since random impurity scattering is a problem that cannot be solved exactly in a perturbative approach, we combine our diagrammatic method with the coherent potential approximation (CPA) so that a reliable closed-form solution can be obtained. Our theory not only ensures the internal consistency of the diagrams derived at different levels of the correlators but also satisfies a set of Ward-like identities that corroborate the conserving consistency of transport calculations within the formalism. The theory is applied to calculate the quantum transport properties such as average ac conductance and transmission moments of a disordered tight-binding model, and results are numerically verified to high precision by comparing to the exact solutions obtained from enumerating all possible disorder configurations. Our formalism can be employed to predict transport properties of a wide variety of physical systems where disorder scattering is important.

[Parameters of prosaccades and antisaccades as potential markers of anxiety disorders].

PubMed

Shalaginova, I G; Vakoliuk, I A; Ecina, I G

To evaluate the parameters of visually-induced saccades and antisaccades in drug-naïve patients with anxiety disorders. A sample consisted of 18 subjects, including 10 healthy people and 8 patients with the diagnosis of anxiety disorder (ICD-10 items F43.0, F41.0, F41.1, F42). The authors' method of video-oculography was used to assess eye-movement reactions. An increase in latency of correct antisaccades (AS) and visually-induced saccades (VIS) in patients with anxiety disorders was found. The effectiveness of task performance did not differ compared to healthy controls. A decreased generation of predictive saccades was identified in the experimental group. Possible neurophysiological foundations of the saccadic dysfunctions are discussed.

Predictors of 12-Step Attendance and Participation for Individuals with Stimulant Use Disorders

PubMed Central

Hatch-Maillette, Mary; Wells, Elizabeth A.; Doyle, Suzanne R.; Brigham, Gregory S.; Daley, Dennis; DiCenzo, Jessica; Donovan, Dennis; Garrett, Sharon; Horigian, Viviana E.; Jenkins, Lindsay; Killeen, Therese; Owens, Mandy; Perl, Harold I.

2017-01-01

Objective Few studies have examined the effectiveness of 12-step peer recovery support programs with drug use disorders, especially stimulant use, and it is difficult to know how outcomes related to 12-step attendance and participation generalize to individuals with non-alcohol substance use disorders (SUDs). Method A clinical trial of 12-step facilitation (N=471) focusing on individuals with cocaine or methamphetamine use disorders allowed examination of four questions: Q1) To what extent do treatment-seeking stimulant users use 12-step programs and, which ones? Q2) Do factors previously found to predict 12-step participation among those with alcohol use disorders also predict participation among stimulant users? Q3) What specific baseline “12-step readiness” factors predict subsequent 12-step participation and attendance? And Q4) Does stimulant drug of choice differentially predict 12-step participation and attendance? Results The four outcomes variables, Attendance, Speaking, Duties at 12-step meetings, and other peer recovery support Activities, were not related to baseline demographic or substance problem history or severity. Drug of choice was associated with differential days of Alcoholics Anonymous (AA) and Narcotics Anonymous (NA) attendance among those who reported attending, and cocaine users reported more days of attending AA or NA at 1-, 3- and 6-month follow-ups than did methamphetamine users. Pre-randomization measures of Perceived Benefit of 12-step groups predicted 12-step Attendance at 3- and 6-month follow-ups. Pre-randomization 12-step Attendance significantly predicted number of other Self-Help Activities at end-of-treatment, 3- and 6-month follow-ups. Pre-randomization Perceived Benefit and problem severity both predicted number of Self-Help Activities at end-of-treatment and 3-month follow-up. Pre-randomization Perceived Barriers to 12-step groups were negatively associated with Self-Help Activities at end-of-treatment and 3-month follow-up. Whether or not one participated in any Duties was predicted at all time points by pre-randomization involvement in Self-Help Activities. Conclusions The primary finding of this study is one of continuity: prior attendance and active involvement with 12-step programs were the main signs pointing to future involvement. Limitations and Recommendations are discussed. PMID:27431050

A literature review of the application of the Geriatric Depression Scale, Depression Anxiety Stress Scales and Post-traumatic Stress Disorder Checklist to community nursing cohorts.

PubMed

Allen, Jacqui; Annells, Merilyn

2009-04-01

To explore through literature review the appropriateness of three common tools for use by community nurses to screen war veteran and war widow(er) clients for depression, anxiety and post-traumatic stress disorder. War veterans and, to a lesser extent, war widow(er)s, are prone to mental health challenges, especially depression, anxiety and post-traumatic stress disorder. Community nurses do not accurately identify such people with depression and related disorders although they are well positioned to do so. The use of valid and reliable self-report tools is one method of improving nurses' identification of people with actual or potential mental health difficulties for referral to a general practitioner or mental health practitioner for diagnostic assessment and treatment. The Geriatric Depression Scale, Depression Anxiety Stress Scales and Post-traumatic Stress Disorder Checklist are frequently recommended for mental health screening but the appropriateness of using the tools for screening war veteran and war widow(er) community nursing clients who are often aged and have functional impairment, is unknown. Systematic review. Current literature informs that the Geriatric Depression Scale accurately predicts a diagnosis of depression in community nursing cohorts. The three Depression Anxiety Stress Scales subscales of depression, anxiety and stress are valid; however, no studies were identified that compared the performance of the Depression Anxiety Stress Scales in predicting diagnoses of depression or anxiety. The Post-traumatic Stress Disorder Checklist predicts post-traumatic stress disorder in community cohorts although no studies meeting the selection criteria included male participants. This review provides recommendations for the use of the Geriatric Depression Scale, Depression Anxiety Stress Scales and The Post-traumatic Stress Disorder Checklist based on examination of the published evidence for the application of these screening tools in samples approximated to community nursing cohorts. Findings and recommendations would guide community nurses, managers and health planners in the selection of mental health screening tools to promote holistic community nursing care.

Using the mood disorder questionnaire and bipolar spectrum diagnostic scale to detect bipolar disorder and borderline personality disorder among eating disorder patients

PubMed Central

2013-01-01

Background Screening scales for bipolar disorder including the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) have been plagued by high false positive rates confounded by presence of borderline personality disorder. This study examined the accuracy of these scales for detecting bipolar disorder among patients referred for eating disorders and explored the possibility of simultaneous assessment of co-morbid borderline personality disorder. Methods Participants were 78 consecutive female patients who were referred for evaluation of an eating disorder. All participants completed the mood and eating disorder sections of the SCID-I/P and the borderline personality disorder section of the SCID-II, in addition to the MDQ and BSDS. Predictive validity of the MDQ and BSDS was evaluated by Receiver Operating Characteristic analysis of the Area Under the Curve (AUC). Results Fifteen (19%) and twelve (15%) patients fulfilled criteria for bipolar II disorder and borderline personality disorder, respectively. The AUCs for bipolar II disorder were 0.78 (MDQ) and 0.78 (BDSD), and the AUCs for borderline personality disorder were 0.75 (MDQ) and 0.79 (BSDS). Conclusions Among patients being evaluated for eating disorders, the MDQ and BSDS show promise as screening questionnaires for both bipolar disorder and borderline personality disorder. PMID:23443034

Early Risk and Resiliency Factors Predict Chronic Posttraumatic Stress Disorder in Caregivers of Patients Admitted to a Neuroscience ICU.

PubMed

Choi, Karmel W; Shaffer, Kelly M; Zale, Emily L; Funes, Christopher J; Koenen, Karestan C; Tehan, Tara; Rosand, Jonathan; Vranceanu, Ana-Maria

2018-05-01

Informal caregivers-that is, close family and friends providing unpaid emotional or instrumental care-of patients admitted to ICUs are at risk for posttraumatic stress disorder. As a first step toward developing interventions to prevent posttraumatic stress disorder in ICU caregivers, we examined the predictive validity of psychosocial risk screening during admission for caregiver posttraumatic stress disorder at 3 and 6 months post hospitalization. An observational, prospective study. Ninety-nine caregivers were recruited as part of a longitudinal research program of patient-caregiver dyads in a neuroscience ICU. None. Caregiver posttraumatic stress disorder symptoms were assessed during admission (baseline), 3 months, and 6 months post hospitalization. We 1) characterized prevalence of clinically significant symptoms at each time point 2); calculated sensitivity and specificity of baseline posttraumatic stress disorder screening in predicting posttraumatic stress disorder at 3 and 6 months; and 3) used recursive partitioning to select potential baseline factors and examine the extent to which they helped predict clinically significant posttraumatic stress disorder symptoms at each time point. Rates of caregiver posttraumatic stress disorder remained relatively stable over time (16-22%). Screening for posttraumatic stress disorder at baseline predicted posttraumatic stress disorder at 3 and 6 months with moderate sensitivity (75-80%) and high specificity (92-95%). Screening for posttraumatic stress disorder at baseline was associated with caregiver anxiety, mindfulness (i.e., ability to be aware of one's thoughts and feelings in the moment), and bond with patient. Furthermore, baseline posttraumatic stress disorder screening was the single most relevant predictor of posttraumatic stress disorder at 3 and 6 months, such that other baseline factors did not significantly improve predictive ability. Screening neuroscience ICU caregivers for clinically significant posttraumatic stress disorder symptoms during admission is the single most important way to identify the majority of those likely to suffer from chronic posttraumatic stress disorder following discharge. Addressing early posttraumatic stress disorder symptoms and their psychosocial correlates during admission may help prevent chronic posttraumatic stress disorder in these at-risk caregivers.

Predictors and moderators of response to cognitive behavioral therapy and medication for the treatment of binge eating disorder.

PubMed

Grilo, Carlos M; Masheb, Robin M; Crosby, Ross D

2012-10-01

To examine predictors and moderators of response to cognitive behavioral therapy (CBT) and medication treatments for binge-eating disorder (BED). 108 BED patients in a randomized double-blind placebo-controlled trial testing CBT and fluoxetine treatments were assessed prior, throughout, and posttreatment. Demographic factors, psychiatric and personality disorder comorbidity, eating disorder psychopathology, psychological features, and 2 subtyping methods (negative affect, overvaluation of shape/weight) were tested as predictors and moderators for the primary outcome of remission from binge eating and 4 secondary dimensional outcomes (binge-eating frequency, eating disorder psychopathology, depression, and body mass index). Mixed-effects models analyzed all available data for each outcome variable. In each model, effects for baseline value and treatment were included with tests of both prediction and moderator effects. Several demographic and clinical variables significantly predicted and/or moderated outcomes. One demographic variable signaled a statistical advantage for medication only (younger participants had greater binge-eating reductions), whereas several demographic and clinical variables (lower self-esteem, negative affect, and overvaluation of shape/weight) signaled better improvements if receiving CBT. Overvaluation was the most salient predictor/moderator of outcomes. Overvaluation significantly predicted binge-eating remission (29% of participants with vs. 57% of participants without overvaluation remitted). Overvaluation was especially associated with lower remission rates if receiving medication only (10% vs. 42% for participants without overvaluation). Overvaluation moderated dimensional outcomes: Participants with overvaluation had significantly greater reductions in eating disorder psychopathology and depression levels if receiving CBT. Overvaluation predictor/moderator findings persisted after controlling for negative affect. Our findings have clinical utility for prescription of CBT and medication and implications for refinement of the BED diagnosis. (PsycINFO Database Record (c) 2012 APA, all rights reserved).

Clinical Predictors of Response to Cognitive-Behavioral Therapy in Pediatric Anxiety Disorders: The Genes for Treatment (GxT) Study

PubMed Central

Hudson, Jennifer L.; Keers, Robert; Roberts, Susanna; Coleman, Jonathan R.I.; Breen, Gerome; Arendt, Kristian; Bögels, Susan; Cooper, Peter; Creswell, Cathy; Hartman, Catharina; Heiervang, Einar R.; Hötzel, Katrin; In-Albon, Tina; Lavallee, Kristen; Lyneham, Heidi J.; Marin, Carla E.; McKinnon, Anna; Meiser-Stedman, Richard; Morris, Talia; Nauta, Maaike; Rapee, Ronald M.; Schneider, Silvia; Schneider, Sophie C.; Silverman, Wendy K.; Thastum, Mikael; Thirlwall, Kerstin; Waite, Polly; Wergeland, Gro Janne; Lester, Kathryn J.; Eley, Thalia C.

2015-01-01

Objective The Genes for Treatment study is an international, multisite collaboration exploring the role of genetic, demographic, and clinical predictors in response to cognitive-behavioral therapy (CBT) in pediatric anxiety disorders. The current article, the first from the study, examined demographic and clinical predictors of response to CBT. We hypothesized that the child’s gender, type of anxiety disorder, initial severity and comorbidity, and parents’ psychopathology would significantly predict outcome. Method A sample of 1,519 children 5 to 18 years of age with a primary anxiety diagnosis received CBT across 11 sites. Outcome was defined as response (change in diagnostic severity) and remission (absence of the primary diagnosis) at each time point (posttreatment, 3-, 6-, and/or 12-month follow-up) and analyzed using linear and logistic mixed models. Separate analyses were conducted using data from posttreatment and follow-up assessments to explore the relative importance of predictors at these time points. Results Individuals with social anxiety disorder (SoAD) had significantly poorer outcomes (poorer response and lower rates of remission) than those with generalized anxiety disorder (GAD). Although individuals with specific phobia (SP) also had poorer outcomes than those with GAD at posttreatment, these differences were not maintained at follow-up. Both comorbid mood and externalizing disorders significantly predicted poorer outcomes at posttreatment and follow-up, whereas self-reported parental psychopathology had little effect on posttreatment outcomes but significantly predicted response (although not remission) at follow-up. Conclusion SoAD, nonanxiety comorbidity, and parental psychopathology were associated with poorer outcomes after CBT. The results highlight the need for enhanced treatments for children at risk for poorer outcomes. PMID:26004660

Rumination, anxiety, depressive symptoms and subsequent depression in adolescents at risk for psychopathology: a longitudinal cohort study

PubMed Central

2013-01-01

Background A ruminative style of responding to low mood is associated with subsequent high depressive symptoms and depressive disorder in children, adolescents and adults. Scores on self-report rumination scales correlate strongly with scores on anxiety and depression symptom scales. This may confound any associations between rumination and subsequent depression. Methods Our sample comprised 658 healthy adolescents at elevated risk for psychopathology. This study applied ordinal item (non-linear) factor analysis to pooled items from three self-report questionnaires to explore whether there were separate, but correlated, constructs of rumination, depression and anxiety. It then tested whether rumination independently predicted depressive disorder and depressive symptoms over the subsequent 12 months, after adjusting for confounding variables. Results We identified a single rumination factor, which was correlated with factors representing cognitive symptoms of depression, somatic symptoms of depression and anxiety symptoms; and one factor representing adaptive responses to low mood. Elevated rumination scores predicted onset of depressive disorders over the subsequent year (p = 0.035), and levels of depressive symptoms 12 months later (p < 0.0005), after adjustment for prior levels of depressive and anxiety symptoms. Conclusion High rumination predicts onset of depressive disorder in healthy adolescents. Therapy that reduces rumination and increases distraction/problem-solving may reduce onset and relapse rates of depression. PMID:24103296

The Relationship between Defense Patterns and DSM-5 Maladaptive Personality Domains.

PubMed

Granieri, Antonella; La Marca, Luana; Mannino, Giuseppe; Giunta, Serena; Guglielmucci, Fanny; Schimmenti, Adriano

2017-01-01

Aim: Research has extensively examined the relationship between defense mechanisms (DM) and personality traits. However, no study to date has explored if specific defenses (alone or in combination) are able to predict dysfunctional variants of personality domains, as conceived in the alternative DSM-5 model for personality disorders. This study aimed to investigate the relationship between DMs and DSM-5 maladaptive personality domains among adults. Materials and Methods: Three hundred and twenty-eight adults aged between 18 and 64 years old completed measures on DMs and maladapive personality domains. Regression analyses were performed to determine which DMs predicted the maladaptive personality domains of negative affectivity, detachment, antagonism, disinhibition, and psychoticism. Results: According to psychoanalytic literature, results showed that immature defenses positively predicted maladaptive personality domain scores, whereas mature defenses were generally related with better personality functioning. Moreover, different defense patterns emerged as significant predictors of the maladaptive personality domains comprised in the alternative DSM-5 model for personality disorder. Discussion: Our findings support the view that defense patterns represent core components of personality and its disorders, and suggest that an increased use of immature defenses and a reduced use of mature defenses have a negative impact on the development of personality.

[Discipline styles and co-morbid disorders of adolescents with attention deficit hyperactivity disorder: a longitudinal study].

PubMed

Colomer-Diago, Carla; Berenguer-Forner, Carmen; Tárraga-Mínguez, Raúl; Miranda-Casas, Ana

2014-02-24

Problems in cognitive functioning, social and educational development of children with attention deficit hyperactivity disorder (ADHD) continue to be present in adolescence and adulthood. Although the literature shows a significant relationship between the use of dysfunctional discipline methods and severity in the course of ADHD, follow-up studies have been rare. To analyze parenting style and ADHD symptomatology assessed in childhood (time 1) to predict the oppositional behavior and cognitive problems in early adolescence (time 2), and to study, depending on the use of dysfunctional parenting style, the course of oppositional behavior and cognitive problems. Forty-five children with ADHD-combined presentation were assessed in two different moments: time 1 (ages: 6-13) and time 2 (ages: 8-16). Oppositionism and cognitive problems in the follow-up were predicted by dysfunctional discipline styles and ADHD severity (assessed in time 1). Oppositional behavior increased between time 1 and time 2 in children with a dysfunctional parenting, whereas a decrease on oppositional symptoms was observed in the functional parenting group (time x discipline interaction effect). Dysfunctional parenting practices in childhood predicted cognitive and behavioral problems associated in adolescence. The findings have implications for the planning of interventions.

The role of steroids in the prediction of affective disorders in adult men.

PubMed

Šrámková, Monika; Dušková, Michaela; Hill, Martin; Bičíková, Marie; Řípová, Daniela; Mohr, Pavel; Stárka, Luboslav

2017-05-01

Anxiety and mood disorders (AMD) are the most frequent mental disorders in the human population. They have recently shown increasing prevalence, and commonly disrupt personal and working lives. The aim of our study was to analyze the spectrum of circulating steroids in order to discover differences that could potentially be markers of affective depression or anxiety, and identify which steroids could be a predictive component for these diseases. We studied the steroid metabolome including 47 analytes in 20 men with depression (group D), 20 men with anxiety (group AN) and 30 healthy controls. OPLS and multivariate regression models were used for statistical analysis. Discrimination of group D from controls by the OPLS method was absolute, as was group AN from controls (sensitivity=1.000 (0.839, 1.000), specificity=1.000 (0.887, 1.000)). Relatively good predictivity was also found for discrimination between group D from AN (sensitivity=0.850 (0.640, 0.948), specificity=0.900 (0.699, 0.972)). Selected circulating steroids, including those that are neuroactive and neuroprotective, can be useful tools for discriminating between these affective diseases in adult men. Copyright © 2016. Published by Elsevier Inc.

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics.

PubMed

Rho, Mi Jung; Lee, Hyeseon; Lee, Taek-Ho; Cho, Hyun; Jung, Dong Jin; Kim, Dai-Jin; Choi, In Young

2017-12-27

Background : Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; Methods : Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We identified 481 IGD gamers and 3087 normal Internet gamers, based on Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria. Logistic regression analysis was applied to identify significant risk factors for IGD; Results : The following eight risk factors were found to be significantly associated with IGD: functional and dysfunctional impulsivity (odds ratio: 1.138), belief self-control (1.034), anxiety (1.086), pursuit of desired appetitive goals (1.105), money spent on gaming (1.005), weekday game time (1.081), offline community meeting attendance (2.060), and game community membership (1.393; p < 0.05 for all eight risk factors); Conclusions : These risk factors allow for the prediction and diagnosis of IGD. In the future, these risk factors could also be used to inform clinical services for IGD diagnosis and treatment.

Risk Factors for Internet Gaming Disorder: Psychological Factors and Internet Gaming Characteristics

PubMed Central

Lee, Hyeseon; Lee, Taek-Ho; Cho, Hyun; Kim, Dai-Jin; Choi, In Young

2017-01-01

Background: Understanding the risk factors associated with Internet gaming disorder (IGD) is important to predict and diagnose the condition. The purpose of this study is to identify risk factors that predict IGD based on psychological factors and Internet gaming characteristics; Methods: Online surveys were conducted between 26 November and 26 December 2014. There were 3568 Korean Internet game users among a total of 5003 respondents. We identified 481 IGD gamers and 3087 normal Internet gamers, based on Diagnostic and Statistical Manual for Mental Disorders (DSM-5) criteria. Logistic regression analysis was applied to identify significant risk factors for IGD; Results: The following eight risk factors were found to be significantly associated with IGD: functional and dysfunctional impulsivity (odds ratio: 1.138), belief self-control (1.034), anxiety (1.086), pursuit of desired appetitive goals (1.105), money spent on gaming (1.005), weekday game time (1.081), offline community meeting attendance (2.060), and game community membership (1.393; p < 0.05 for all eight risk factors); Conclusions: These risk factors allow for the prediction and diagnosis of IGD. In the future, these risk factors could also be used to inform clinical services for IGD diagnosis and treatment. PMID:29280953

The Relationship between Defense Patterns and DSM-5 Maladaptive Personality Domains

PubMed Central

Granieri, Antonella; La Marca, Luana; Mannino, Giuseppe; Giunta, Serena; Guglielmucci, Fanny; Schimmenti, Adriano

2017-01-01

Aim: Research has extensively examined the relationship between defense mechanisms (DM) and personality traits. However, no study to date has explored if specific defenses (alone or in combination) are able to predict dysfunctional variants of personality domains, as conceived in the alternative DSM-5 model for personality disorders. This study aimed to investigate the relationship between DMs and DSM-5 maladaptive personality domains among adults. Materials and Methods: Three hundred and twenty-eight adults aged between 18 and 64 years old completed measures on DMs and maladapive personality domains. Regression analyses were performed to determine which DMs predicted the maladaptive personality domains of negative affectivity, detachment, antagonism, disinhibition, and psychoticism. Results: According to psychoanalytic literature, results showed that immature defenses positively predicted maladaptive personality domain scores, whereas mature defenses were generally related with better personality functioning. Moreover, different defense patterns emerged as significant predictors of the maladaptive personality domains comprised in the alternative DSM-5 model for personality disorder. Discussion: Our findings support the view that defense patterns represent core components of personality and its disorders, and suggest that an increased use of immature defenses and a reduced use of mature defenses have a negative impact on the development of personality. PMID:29163301

Pedophilia: an evaluation of diagnostic and risk prediction methods.

PubMed

Wilson, Robin J; Abracen, Jeffrey; Looman, Jan; Picheca, Janice E; Ferguson, Meaghan

2011-06-01

One hundred thirty child sexual abusers were diagnosed using each of following four methods: (a) phallometric testing, (b) strict application of Diagnostic and Statistical Manual of Mental Disorders (4th ed., text revision [DSM-IV-TR]) criteria, (c) Rapid Risk Assessment of Sex Offender Recidivism (RRASOR) scores, and (d) "expert" diagnoses rendered by a seasoned clinician. Comparative utility and intermethod consistency of these methods are reported, along with recidivism data indicating predictive validity for risk management. Results suggest that inconsistency exists in diagnosing pedophilia, leading to diminished accuracy in risk assessment. Although the RRASOR and DSM-IV-TR methods were significantly correlated with expert ratings, RRASOR and DSM-IV-TR were unrelated to each other. Deviant arousal was not associated with any of the other methods. Only the expert ratings and RRASOR scores were predictive of sexual recidivism. Logistic regression analyses showed that expert diagnosis did not add to prediction of sexual offence recidivism over and above RRASOR alone. Findings are discussed within a context of encouragement of clinical consistency and evidence-based practice regarding treatment and risk management of those who sexually abuse children.

[Open narcissism, covered narcissism and personality disorders as predictive factors of treatment response in an out-patient Drug Addiction Unit].

PubMed

Salazar-Fraile, José; Ripoll-Alandes, Carmen; Bobes, Julio

2010-01-01

Although a high prevalence of personality disorders has been reported in substance users, the literature on their value for predicting treatment response is controversial. On the other hand, while the predictive validity of personality traits as predictors of response to drug abuse or dependence has been studied, research on the validity of narcissistic personality traits is scarce. To study the predictive value of personality disorders, narcissistic personality traits and self-esteem for predicting treatment response. We assessed 78 patients attended at an addiction treatment unit using personality disorder diagnoses and measures of self-esteem, narcissism and covert (hypersensitive) narcissism. These variables were used in a Cox survival model as predictive variables of time to relapse into drug use. Hypersensitive (covert) narcissism and borderline and passive-aggressive personality disorders were risk factors for relapse into drug use, while open narcissism was a protective factor. Self-esteem did not show predictive validity. Personality disorders characterized by impulsivity-instability and passivity-resentfulness show higher risk of relapse into drug abuse. Personality traits characterized by high sensitivity to humiliation increase the risk of relapse, whereas pride and self-confidence are protective factors.

Development of Antisocial Personality Disorder in Detained Youths: The Predictive Value of Mental Disorders

ERIC Educational Resources Information Center

Washburn, Jason J.; Romero, Erin Gregory; Welty, Leah J.; Abram, Karen M.; Teplin, Linda A.; McClelland, Gary M.; Paskar, Leah D.

2007-01-01

Antisocial personality disorder (APD) is a serious public and mental health concern. Understanding how well conduct disorder (CD) and other mental disorders predict the development of APD among youths involved in the juvenile justice system is critical for prevention. The authors used a stratified random sample of 1,112 detained youths to examine…

Disrupted prediction errors index social deficits in autism spectrum disorder

PubMed Central

Balsters, Joshua H; Apps, Matthew A J; Bolis, Dimitris; Lehner, Rea; Gallagher, Louise; Wenderoth, Nicole

2017-01-01

Abstract Social deficits are a core symptom of autism spectrum disorder; however, the perturbed neural mechanisms underpinning these deficits remain unclear. It has been suggested that social prediction errors—coding discrepancies between the predicted and actual outcome of another’s decisions—might play a crucial role in processing social information. While the gyral surface of the anterior cingulate cortex signalled social prediction errors in typically developing individuals, this crucial social signal was altered in individuals with autism spectrum disorder. Importantly, the degree to which social prediction error signalling was aberrant correlated with diagnostic measures of social deficits. Effective connectivity analyses further revealed that, in typically developing individuals but not in autism spectrum disorder, the magnitude of social prediction errors was driven by input from the ventromedial prefrontal cortex. These data provide a novel insight into the neural substrates underlying autism spectrum disorder social symptom severity, and further research into the gyral surface of the anterior cingulate cortex and ventromedial prefrontal cortex could provide more targeted therapies to help ameliorate social deficits in autism spectrum disorder. PMID:28031223

Connecting clinical and actuarial prediction with rule-based methods.

PubMed

Fokkema, Marjolein; Smits, Niels; Kelderman, Henk; Penninx, Brenda W J H

2015-06-01

Meta-analyses comparing the accuracy of clinical versus actuarial prediction have shown actuarial methods to outperform clinical methods, on average. However, actuarial methods are still not widely used in clinical practice, and there has been a call for the development of actuarial prediction methods for clinical practice. We argue that rule-based methods may be more useful than the linear main effect models usually employed in prediction studies, from a data and decision analytic as well as a practical perspective. In addition, decision rules derived with rule-based methods can be represented as fast and frugal trees, which, unlike main effects models, can be used in a sequential fashion, reducing the number of cues that have to be evaluated before making a prediction. We illustrate the usability of rule-based methods by applying RuleFit, an algorithm for deriving decision rules for classification and regression problems, to a dataset on prediction of the course of depressive and anxiety disorders from Penninx et al. (2011). The RuleFit algorithm provided a model consisting of 2 simple decision rules, requiring evaluation of only 2 to 4 cues. Predictive accuracy of the 2-rule model was very similar to that of a logistic regression model incorporating 20 predictor variables, originally applied to the dataset. In addition, the 2-rule model required, on average, evaluation of only 3 cues. Therefore, the RuleFit algorithm appears to be a promising method for creating decision tools that are less time consuming and easier to apply in psychological practice, and with accuracy comparable to traditional actuarial methods. (c) 2015 APA, all rights reserved).

Help-seeking intentions in college students: an exploration of eating disorder specific help-seeking and general psychological help-seeking.

PubMed

Tillman, Kathleen S; Sell, Darcie M

2013-04-01

This study investigated help-seeking intentions for eating disorders and general psychological problems in college students. Participants reported that they would be more likely to seek help for a friend with an eating disorder than for themselves if they were experiencing an eating disorder. Multiple factors (i.e., sex, year in college, knowledge of eating disorders, and knowledge of available resources) were assessed to determine the prediction of help-seeking intentions. Only the knowledge of eating disorders significantly predicted whether or not a student would be willing to seek help for a friend with a general psychological disorder. None of these factors predicted willingness to seek help for friends with an eating disorder. Copyright © 2013 Elsevier Ltd. All rights reserved.

Do Work Characteristics Predict Health Deterioration Among Employees with Chronic Diseases?

PubMed

de Wind, Astrid; Boot, Cécile R L; Sewdas, Ranu; Scharn, Micky; van den Heuvel, Swenne G; van der Beek, Allard J

2018-06-01

Purpose In our ageing workforce, the increasing numbers of employees with chronic diseases are encouraged to prolong their working lives. It is important to prevent health deterioration in this vulnerable group. This study aims to investigate whether work characteristics predict health deterioration over a 3-year period among employees with (1) chronic diseases, and, more specifically, (2) musculoskeletal and psychological disorders. Methods The study population consisted of 5600 employees aged 45-64 years with a chronic disease, who participated in the Dutch Study on Transitions in Employment, Ability and Motivation (STREAM). Information on work characteristics was derived from the baseline questionnaire. Health deterioration was defined as a decrease in general health (SF-12) between baseline and follow-up (1-3 years). Crude and adjusted logistic regression analyses were performed to investigate prediction of health deterioration by work characteristics. Subgroup analyses were performed for employees with musculoskeletal and psychological disorders. Results At follow-up, 19.2% of the employees reported health deterioration (N = 1075). Higher social support of colleagues or supervisor predicted health deterioration in the crude analyses in the total group, and the groups with either musculoskeletal or psychological disorders (ORs 1.11-1.42). This effect was not found anymore in the adjusted analyses. The other work characteristics did not predict health deterioration in any group. Conclusions This study did not support our hypothesis that work characteristics predict health deterioration among employees with chronic diseases. As our study population succeeded continuing employment to 45 years and beyond, it was probably a relatively healthy selection of employees.

Fetal growth and psychiatric and socioeconomic problems: population-based sibling comparison

PubMed Central

Class, Quetzal A.; Rickert, Martin E.; Larsson, Henrik; Lichtenstein, Paul; D’Onofrio, Brian M.

2014-01-01

Background It is unclear whether associations between fetal growth and psychiatric and socioeconomic problems are consistent with causal mechanisms. Aims To estimate the extent to which associations are a result of unmeasured confounding factors using a sibling-comparison approach. Method We predicted outcomes from continuously measured birth weight in a Swedish population cohort (n = 3 291 773), while controlling for measured and unmeasured confounding. Results In the population, lower birth weight (⩽2500 g) increased the risk of all outcomes. Sibling-comparison models indicated that lower birth weight independently predicted increased risk for autism spectrum disorder (hazard ratio for low birth weight = 2.44, 95% CI 1.99-2.97) and attention-deficit hyperactivity disorder. Although attenuated, associations remained for psychotic or bipolar disorder and educational problems. Associations with suicide attempt, substance use problems and social welfare receipt, however, were fully attenuated in sibling comparisons. Conclusions Results suggest that fetal growth, and factors that influence it, contribute to psychiatric and socioeconomic problems. PMID:25257067

Biomarkers for Psychiatry: The Journey from Fantasy to Fact, a Report of the 2013 CINP Think Tank

PubMed Central

Millan, Mark J.; Bahn, Sabine; Bertolino, Alessandro; Turck, Christoph W.; Kapur, Shitij; Möller, Hans-Jürgen; Dean, Brian

2015-01-01

Background: A think tank sponsored by the Collegium Internationale Neuropsychopharmacologium (CINP) debated the status and prospects of biological markers for psychiatric disorders, focusing on schizophrenia and major depressive disorder. Methods: Discussions covered markers defining and predicting specific disorders or domains of dysfunction, as well as predicting and monitoring medication efficacy. Deliberations included clinically useful and viable biomarkers, why suitable markers are not available, and the need for tightly-controlled sample collection. Results: Different types of biomarkers, appropriate sensitivity, specificity, and broad-based exploitability were discussed. Whilst a number of candidates are in the discovery phases, all will require replication in larger, real-life cohorts. Clinical cost-effectiveness also needs to be established. Conclusions: Since a single measure is unlikely to suffice, multi-modal strategies look more promising, although they bring greater technical and implementation complexities. Identifying reproducible, robust biomarkers will probably require pre-competitive consortia to provide the resources needed to identify, validate, and develop the relevant clinical tests. PMID:25899066

Basolateral amygdala–ventromedial prefrontal cortex connectivity predicts cognitive behavioural therapy outcome in adults with obsessive–compulsive disorder

PubMed Central

Fullana, Miquel A.; Zhu, Xi; Alonso, Pino; Cardoner, Narcís; Real, Eva; López-Solà, Clara; Segalàs, Cinto; Subirà, Marta; Galfalvy, Hanga; Menchón, José M.; Simpson, H. Blair; Marsh, Rachel; Soriano-Mas, Carles

2017-01-01

Background Cognitive behavioural therapy (CBT), including exposure and ritual prevention, is a first-line treatment for obsessive–compulsive disorder (OCD), but few reliable predictors of CBT outcome have been identified. Based on research in animal models, we hypothesized that individual differences in basolateral amygdala–ventromedial prefrontal cortex (BLA–vmPFC) communication would predict CBT outcome in patients with OCD. Methods We investigated whether BLA–vmPFC resting-state functional connectivity (rs-fc) predicts CBT outcome in patients with OCD. We assessed BLA–vmPFC rs-fc in patients with OCD on a stable dose of a selective serotonin reuptake inhibitor who then received CBT and in healthy control participants. Results We included 73 patients with OCD and 84 healthy controls in our study. Decreased BLA–vmPFC rs-fc predicted a better CBT outcome in patients with OCD and was also detected in those with OCD compared with healthy participants. Additional analyses revealed that decreased BLA–vmPFC rs-fc uniquely characterized the patients with OCD who responded to CBT. Limitations We used a sample of convenience, and all patients were receiving pharmacological treatment for OCD. Conclusion In this large sample of patients with OCD, BLA–vmPFC functional connectivity predicted CBT outcome. These results suggest that future research should investigate the potential of BLA–vmPFC pathways to inform treatment selection for CBT across patients with OCD and anxiety disorders. PMID:28632120

Mother chair reparation to decrease subjective disorders in exclusive breast-feeding period

NASA Astrophysics Data System (ADS)

Santiana, M. A.; Yusuf, M.; Lokantara, W. D.

2018-01-01

Exclusive breastfeeding is the responsibility of the mother after childbirth. A specific constraint arise for the mother when during the breastfeeding process, the place is not in accordance with the physiological condition of the mother's body. A not physiologically corrected lactation place will cause subjective disorders for breastfeeding mothers. Complaints that arise include quick tiredness, with certain muscles sore and pain, which will ultimately decrease the motivation of the mothers to perform exclusive breastfeeding especially in the first six months of the baby's birth. An improved ergonomic designed chair, this research used experimental method with group within treatment (treatment by subject) to solve the problem. The study took place in Maternity Clinic “CB” Badung regency, Bali. Subjective disorders are measured based on general fatigue and musculoskeletal disorders mothers breastfeeding. Fatigue is predicted using 30 items of questionnaires while musculoskeletal compaints are predicted from the Nordic Body Map questionnaire. Data were analyzed descriptively and inferentially in an experiment condition using using t-pair test. The results showed that there were significant differences in fatigue in general and skeletal musculoskeletal disorders between treatment 1 (using old chair) with treatment 2 (using repaired seats) in breastfeeding mothers. Fatigue in general decreased by 35.6% and skeletal musculoskeletal disorders decreased by 26.8%. It was concluded that improved breastfeeding mothers' seats may decrease subjective disorders during exclusive breastfeeding. It is therefore advisable for breastfeeding mothers to use seats that match their anthropometry.

Satisfaction with Life in Orofacial Pain Disorders: Associations and Theoretical Implications

PubMed Central

Boggero, Ian A.; Rojas-Ramirez, Marcia V.; de Leeuw, Reny; Carlson, Charles R.

2016-01-01

Aims To test if patients with masticatory myofascial pain, local myalgia, centrally mediated myalgia, disc displacement, capsulitis/synovitis, or continuous neuropathic pain differed in self-reported satisfaction with life. The study also tested if satisfaction with life was similarly predicted by measures of physical, emotional, and social functioning across disorders. Methods Satisfaction with life, fatigue, affective distress, social support, and pain data were extracted from the medical records of 343 patients seeking treatment for chronic orofacial pain. Patients were grouped by primary diagnosis assigned following their initial appointment. Satisfaction with life was compared between disorders, with and without pain intensity entered as a covariate. Disorder-specific linear regression models using physical, emotional, and social predictors of satisfaction with life were computed. Results Patients with centrally mediated myalgia reported significantly lower satisfaction with life than did patients with any of the other five disorders. Inclusion of pain intensity as a covariate weakened but did not eliminate the effect. Satisfaction with life was predicted by measures of physical, emotional, and social functioning, but these associations were not consistent across disorders. Conclusions Results suggest that reduced satisfaction with life in patients with centrally mediated myalgia is not due only to pain intensity. There may be other factors that predispose people to both reduced satisfaction with life and centrally mediated myalgia. Furthermore, the results suggest that satisfaction with life is differentially influenced by physical, emotional, and social functioning in different orofacial pain disorders. PMID:27128473

Structural Disorder within Henipavirus Nucleoprotein and Phosphoprotein: From Predictions to Experimental Assessment

PubMed Central

Darbon, Hervé; Longhi, Sonia

2010-01-01

Henipaviruses are newly emerged viruses within the Paramyxoviridae family. Their negative-strand RNA genome is packaged by the nucleoprotein (N) within α-helical nucleocapsid that recruits the polymerase complex made of the L protein and the phosphoprotein (P). To date structural data on Henipaviruses are scarce, and their N and P proteins have never been characterized so far. Using both computational and experimental approaches we herein show that Henipaviruses N and P proteins possess large intrinsically disordered regions. By combining several disorder prediction methods, we show that the N-terminal domain of P (PNT) and the C-terminal domain of N (NTAIL) are both mostly disordered, although they contain short order-prone segments. We then report the cloning, the bacterial expression, purification and characterization of Henipavirus PNT and NTAIL domains. By combining gel filtration, dynamic light scattering, circular dichroism and nuclear magnetic resonance, we show that both NTAIL and PNT belong to the premolten globule sub-family within the class of intrinsically disordered proteins. This study is the first reported experimental characterization of Henipavirus P and N proteins. The evidence that their respective N-terminal and C-terminal domains are highly disordered under native conditions is expected to be invaluable for future structural studies by helping to delineate N and P protein domains amenable to crystallization. In addition, following previous hints establishing a relationship between structural disorder and protein interactivity, the present results suggest that Henipavirus PNT and NTAIL domains could be involved in manifold protein-protein interactions. PMID:20657787

Ventral Striatum Functional Connectivity as a Predictor of Adolescent Depressive Disorder in a Longitudinal Community-Based Sample.

PubMed

Pan, Pedro Mario; Sato, João R; Salum, Giovanni A; Rohde, Luis A; Gadelha, Ary; Zugman, Andre; Mari, Jair; Jackowski, Andrea; Picon, Felipe; Miguel, Eurípedes C; Pine, Daniel S; Leibenluft, Ellen; Bressan, Rodrigo A; Stringaris, Argyris

2017-11-01

Previous studies have implicated aberrant reward processing in the pathogenesis of adolescent depression. However, no study has used functional connectivity within a distributed reward network, assessed using resting-state functional MRI (fMRI), to predict the onset of depression in adolescents. This study used reward network-based functional connectivity at baseline to predict depressive disorder at follow-up in a community sample of adolescents. A total of 637 children 6-12 years old underwent resting-state fMRI. Discovery and replication analyses tested intrinsic functional connectivity (iFC) among nodes of a putative reward network. Logistic regression tested whether striatal node strength, a measure of reward-related iFC, predicted onset of a depressive disorder at 3-year follow-up. Further analyses investigated the specificity of this prediction. Increased left ventral striatum node strength predicted increased risk for future depressive disorder (odds ratio=1.54, 95% CI=1.09-2.18), even after excluding participants who had depressive disorders at baseline (odds ratio=1.52, 95% CI=1.05-2.20). Among 11 reward-network nodes, only the left ventral striatum significantly predicted depression. Striatal node strength did not predict other common adolescent psychopathology, such as anxiety, attention deficit hyperactivity disorder, and substance use. Aberrant ventral striatum functional connectivity specifically predicts future risk for depressive disorder. This finding further emphasizes the need to understand how brain reward networks contribute to youth depression.

Testing Mediators Hypothesized to Account for the Effects of a Dissonance Eating Disorder Prevention Program Over Longer-Term Follow-Up

PubMed Central

Stice, Eric; Marti, C. Nathan; Rohde, Paul; Shaw, Heather

2011-01-01

Objective Test the hypothesis that reductions in thin-ideal internalization and body dissatisfaction mediate the effects of a dissonance-based eating disorder prevention program on reductions in eating disorder symptoms over 1-year follow-up. Method Data were drawn from a randomized effectiveness trial in which 306 female high school students (M age = 15.7 SD = 1.1) with body image concerns were randomized to the 4-session dissonance-based prevention program or an educational brochure control condition, wherein school counselors and nurses were responsible for participant recruitment and intervention delivery. Results Dissonance participants showed greater reductions in thin-ideal internalization, body dissatisfaction, and eating disorder symptoms; change in thin-ideal internalization predicted change in body dissatisfaction and symptoms; change in body dissatisfaction predicted change in symptoms; and all indirect effects were significant. Change in thin-ideal internalization fully mediated the effects of intervention condition on change in body dissatisfaction and partially mediated the effects on symptoms; change in body dissatisfaction partially mediated the effect of intervention condition on change in symptoms. Conclusions Findings provided support for the intervention theory of this eating disorder prevention program over longer-term follow-up, extending the evidence base for this effective intervention. PMID:21500884

State-Level Policies and Psychiatric Morbidity In Lesbian, Gay, and Bisexual Populations

PubMed Central

Keyes, Katherine M.; Hasin, Deborah S.

2009-01-01

Objectives. We investigated the modifying effect of state-level policies on the association between lesbian, gay, or bisexual status and the prevalence of psychiatric disorders. Methods. Data were from wave 2 of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), a nationally representative study of noninstitutionalized US adults (N = 34 653). States were coded for policies extending protections against hate crimes and employment discrimination based on sexual orientation. Results. Compared with living in states with policies extending protections, living in states without these policies predicted a significantly stronger association between lesbian, gay, or bisexual status and psychiatric disorders in the past 12 months, including generalized anxiety disorder (F = 3.87; df = 2; P = .02), post-traumatic stress disorder (F = 3.42; df = 2; P = .04), and dysthymia (F = 5.20; df = 2; P = .02). Living in states with policies that did not extend protections also predicted a stronger relation between lesbian, gay, or bisexual status and psychiatric comorbidity (F = 2.47; df = 2; P = .04). Conclusions. State-level protective policies modify the effect of lesbian, gay, or bisexual status on psychiatric disorders. Policies that reduce discrimination against gays and lesbians are urgently needed to protect the health and well-being of this population. PMID:19833997

Fear of childbirth and obstetrical events as predictors of postnatal symptoms of depression and post-traumatic stress disorder.

PubMed

Fairbrother, Nichole; Woody, Sheila R

2007-12-01

This prospective study examined psychological and obstetrical predictors of enduring postpartum symptoms of depression and post-traumatic stress disorder. Contrary to prediction, prenatal fear of childbirth did not significantly predict symptoms of depression or post-traumatic stress disorder at one month postpartum, but anxiety sensitivity was an unexpected predictor that merits further investigation. Several obstetrical and neonatal variables significantly predicted symptoms of post-traumatic disorder, but not depression.

Assessment of sexual orientation using the hemodynamic brain response to visual sexual stimuli.

PubMed

Ponseti, Jorge; Granert, Oliver; Jansen, Olav; Wolff, Stephan; Mehdorn, Hubertus; Bosinski, Hartmut; Siebner, Hartwig

2009-06-01

The assessment of sexual orientation is of importance to the diagnosis and treatment of sex offenders and paraphilic disorders. Phallometry is considered gold standard in objectifying sexual orientation, yet this measurement has been criticized because of its intrusiveness and limited reliability. To evaluate whether the spatial response pattern to sexual stimuli as revealed by a change in blood oxygen level-dependent (BOLD) signal can be used for individual classification of sexual orientation. We used a preexisting functional MRI (fMRI) data set that had been acquired in a nonclinical sample of 12 heterosexual men and 14 homosexual men. During fMRI, participants were briefly exposed to pictures of same-sex and opposite-sex genitals. Data analysis involved four steps: (i) differences in the BOLD response to female and male sexual stimuli were calculated for each subject; (ii) these contrast images were entered into a group analysis to calculate whole-brain difference maps between homosexual and heterosexual participants; (iii) a single expression value was computed for each subject expressing its correspondence to the group result; and (iv) based on these expression values, Fisher's linear discriminant analysis and the kappa-nearest neighbor classification method were used to predict the sexual orientation of each subject. Sensitivity and specificity of the two classification methods in predicting individual sexual orientation. Both classification methods performed well in predicting individual sexual orientation with a mean accuracy of >85% (Fisher's linear discriminant analysis: 92% sensitivity, 85% specificity; kappa-nearest neighbor classification: 88% sensitivity, 92% specificity). Despite the small sample size, the functional response patterns of the brain to sexual stimuli contained sufficient information to predict individual sexual orientation with high accuracy. These results suggest that fMRI-based classification methods hold promise for the diagnosis of paraphilic disorders (e.g., pedophilia).

Profile and predictors of service needs for families of children with autism spectrum disorders

PubMed Central

Zwaigenbaum, Lonnie; Nicholas, David

2015-01-01

Purpose: Increasing demand for autism services is straining service systems. Tailoring services to best meet families’ needs could improve their quality of life and decrease burden on the system. We explored overall, best, and worst met service needs, and predictors of those needs, for families of children with autism spectrum disorders. Methods: Parents of 143 children with autism spectrum disorders (2–18 years) completed a survey including demographic and descriptive information, the Family Needs Survey–Revised, and an open-ended question about service needs. Descriptive statistics characterize the sample and determine the degree to which items were identified and met as needs. Predictors of total and unmet needs were modeled with regression or generalized linear model. Qualitative responses were thematically analyzed. Results: The most frequently identified overall and unmet service needs were information on services, family support, and respite care. The funding and quality of professional support available were viewed positively. Decreased child’s age and income and being an older mother predicted more total needs. Having an older child or mother, lower income, and disruptive behaviors predicted more total unmet needs, yet only disruptive behaviors predicted proportional unmet need. Child’s language or intellectual abilities did not predict needs. Conclusion: Findings can help professionals, funders, and policy-makers tailor services to best meet families’ needs. PMID:25073749

Cognitive-behavioral therapy for obsessive–compulsive disorder: access to treatment, prediction of long-term outcome with neuroimaging

PubMed Central

O’Neill, Joseph; Feusner, Jamie D

2015-01-01

This article reviews issues related to a major challenge to the field for obsessive–compulsive disorder (OCD): improving access to cognitive-behavioral therapy (CBT). Patient-related barriers to access include the stigma of OCD and reluctance to take on the demands of CBT. Patient-external factors include the shortage of trained CBT therapists and the high costs of CBT. The second half of the review focuses on one partial, yet plausible aid to improve access – prediction of long-term response to CBT, particularly using neuroimaging methods. Recent pilot data are presented revealing a potential for pretreatment resting-state functional magnetic resonance imaging and magnetic resonance spectroscopy of the brain to forecast OCD symptom severity up to 1 year after completing CBT. PMID:26229514

The relationship between the FFM and personality disorders in a personnel selection sample.

PubMed

Nederström, Mikael; Furnham, Adrian

2012-10-01

The relationships between the Five Factor Model (FFM) personality and personality disorders were investigated. A sample of real-life job applicants completed two personality questionnaires with different theoretical backgrounds in a psychological assessment center. The job applicants provided self-descriptions both on the FFM inventory and on a personality disorder trait inventory. A subsample of these candidates was interviewed by expert psychologists upon entrance to the assessment center. The psychologists assessed the same disorder traits of each target in job interviews. Both self-descriptions were used to predict the expert assessments. The results demonstrated considerable overlap between the FFM measures of normal and measures of abnormal personality in both samples and regardless of assessment method. © 2012 The Authors. Scandinavian Journal of Psychology © 2012 The Scandinavian Psychological Associations.

Non-equilibrium Green's functions method: Non-trivial and disordered leads

NASA Astrophysics Data System (ADS)

He, Yu; Wang, Yu; Klimeck, Gerhard; Kubis, Tillmann

2014-11-01

The non-equilibrium Green's function algorithm requires contact self-energies to model charge injection and extraction. All existing approaches assume infinitely periodic leads attached to a possibly quite complex device. This contradicts today's realistic devices in which contacts are spatially inhomogeneous, chemically disordered, and impacting the overall device characteristics. This work extends the complex absorbing potentials method for arbitrary, ideal, or non-ideal leads in atomistic tight binding representation. The algorithm is demonstrated on a Si nanowire with periodic leads, a graphene nanoribbon with trumpet shape leads, and devices with leads of randomly alloyed Si0.5Ge0.5. It is found that alloy randomness in the leads can reduce the predicted ON-state current of Si0.5Ge0.5 transistors by 45% compared to conventional lead methods.

Resolving phase stability in the Ti-O binary with first-principles statistical mechanics methods

NASA Astrophysics Data System (ADS)

Gunda, N. S. Harsha; Puchala, Brian; Van der Ven, Anton

2018-03-01

The Ti-O system consists of a multitude of stable and metastable oxides that are used in wide ranging applications. In this work we investigate phase stability in the Ti-O binary from first principles. We perform a systematic search for ground state structures as a function of oxygen concentration by considering oxygen-vacancy and/or titanium-vacancy orderings over four parent crystal structures: (i) hcp Ti, (ii) ω -Ti, (iii) rocksalt, and (iv) hcp oxygen containing interstitial titanium. We explore phase stability at finite temperature using cluster expansion Hamiltonians and Monte Carlo simulations. The calculations predict a high oxygen solubility in hcp Ti and the stability of suboxide phases that undergo order-disorder transitions upon heating. Vacancy ordered rocksalt phases are also predicted at low temperature that disorder to form an extended solid solution at high temperatures. Predicted stable and metastable phase diagrams are qualitatively consistent with experimental observations, however, important discrepancies are revealed between first-principles density functional theory predictions of phase stability and the current understanding of phase stability in this system.

Concordance between actual and pharmacogenetic predicted desvenlafaxine dose needed to achieve remission in major depressive disorder: a 10-week open-label study

PubMed Central

Müller, Daniel J.; Ng, Chee H.; Byron, Keith; Berk, Michael; Singh, Ajeet B.

2017-01-01

Background Pharmacogenetic-based dosing support tools have been developed to personalize antidepressant-prescribing practice. However, the clinical validity of these tools has not been adequately tested, particularly for specific antidepressants. Objective To examine the concordance between the actual dose and a polygene pharmacogenetic predicted dose of desvenlafaxine needed to achieve symptom remission. Materials and methods A 10-week, open-label, prospective trial of desvenlafaxine among Caucasian adults with major depressive disorder (n=119) was conducted. Dose was clinically adjusted and at the completion of the trial, the clinical dose needed to achieve remission was compared with the predicted dose needed to achieve remission. Results Among remitters (n=95), there was a strong concordance (Kendall’s τ-b=0.84, P=0.0001; Cohen’s κ=0.82, P=0.0001) between the actual and the predicted dose need to achieve symptom remission, showing high sensitivity (≥85%), specificity (≥86%), and accuracy (≥89%) of the tool. Conclusion Findings provide initial evidence for the clinical validity of a polygene pharmacogenetic-based tool for desvenlafaxine dosing. PMID:27779571

Prediction of Spontaneous Protein Deamidation from Sequence-Derived Secondary Structure and Intrinsic Disorder.

PubMed

Lorenzo, J Ramiro; Alonso, Leonardo G; Sánchez, Ignacio E

2015-01-01

Asparagine residues in proteins undergo spontaneous deamidation, a post-translational modification that may act as a molecular clock for the regulation of protein function and turnover. Asparagine deamidation is modulated by protein local sequence, secondary structure and hydrogen bonding. We present NGOME, an algorithm able to predict non-enzymatic deamidation of internal asparagine residues in proteins in the absence of structural data, using sequence-based predictions of secondary structure and intrinsic disorder. Compared to previous algorithms, NGOME does not require three-dimensional structures yet yields better predictions than available sequence-only methods. Four case studies of specific proteins show how NGOME may help the user identify deamidation-prone asparagine residues, often related to protein gain of function, protein degradation or protein misfolding in pathological processes. A fifth case study applies NGOME at a proteomic scale and unveils a correlation between asparagine deamidation and protein degradation in yeast. NGOME is freely available as a webserver at the National EMBnet node Argentina, URL: http://www.embnet.qb.fcen.uba.ar/ in the subpage "Protein and nucleic acid structure and sequence analysis".

Antisocial Personality Disorder and Borderline Symptoms are Differentially Related to Impulsivity and Course of Illness in Bipolar Disorder

PubMed Central

Swann, Alan C.; Lijffijt, Marijn; Lane, Scott D.; Steinberg, Joel L.; Moeller, F. Gerard

2012-01-01

Background Interactions between characteristics of bipolar and Axis II cluster B disorders are clinically and diagnostically challenging. Characteristics associated with personality disorders may be dimensional aspects of bipolar disorder. We investigated relationships among antisocial personality disorder (ASPD) or borderline personality disorder symptoms, impulsivity, and course of illness in bipolar disorder. Methods Subjects with bipolar disorder were recruited from the community. Diagnosis was by Structured Clinical Interview for DSM-IV (SCID-I and –II), psychiatric symptom assessment by the Change version of the Schedule for Affective Disorders and Schizophrenia (SADS-C), severity of axis II symptoms by ASPD and borderline personality disorder SCID-II symptoms, and impulsivity by the Barratt Impulsiveness Scale (BIS-11). Results ASPD and borderline symptoms were not related to clinical state or affective symptoms. Borderline symptoms correlated with BIS-11 impulsivity scores, and predicted history of suicide attempts independently of the relationship to impulsivity. ASPD symptoms were more strongly related to course of illness, including early onset, frequent episodes, and substance-related disorders. These effects persisted after allowance for gender and substance-use disorder history. Conclusions Personality disorder symptoms appear to be dimensional, trait-like characteristics of bipolar disorder. ASPD and Borderline symptoms are differentially related to impulsivity and course of illness. PMID:22835849

Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT‐HD

PubMed Central

Long, Jeffrey D.

2015-01-01

Abstract Background It is well known in Huntington's disease that cytosine‐adenine‐guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years. Methods One thousand seventy‐eight Huntington's disease gene–expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean = 5, standard deviation = 3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right‐censored data. Results Adding 34 variables along with cytosine‐adenine‐guanine and age substantially increased predictive accuracy relative to cytosine‐adenine‐guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5‐y predictive accuracy than when using cytosine‐adenine‐guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model. Conclusions Measurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine‐adenine‐guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection. © 2015 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society PMID:26340420

Don't panic: interpretation bias is predictive of new onsets of panic disorder.

PubMed

Woud, Marcella L; Zhang, Xiao Chi; Becker, Eni S; McNally, Richard J; Margraf, Jürgen

2014-01-01

Psychological models of panic disorder postulate that interpretation of ambiguous material as threatening is an important maintaining factor for the disorder. However, demonstrations of whether such a bias predicts onset of panic disorder are missing. In the present study, we used data from the Dresden Prediction Study, in which a epidemiologic sample of young German women was tested at two time points approximately 17 months apart, allowing the study of biased interpretation as a potential risk factor. At time point one, participants completed an Interpretation Questionnaire including two types of ambiguous scenarios: panic-related and general threat-related. Analyses revealed that a panic-related interpretation bias predicted onset of panic disorder, even after controlling for two established risk factors: anxiety sensitivity and fear of bodily sensations. This is the first prospective study demonstrating the incremental validity of interpretation bias as a predictor of panic disorder onset. Copyright © 2013 Elsevier Ltd. All rights reserved.

Can Classification Tree Analyses Help Improve Decision Making About Treatments for Depression and Anxiety Disorders? A Preliminary Investigation

PubMed Central

Rhodes, Louisa; Naumann, Ulrike M.

2011-01-01

Objective: To identify how decisions about treatment are being made in secondary services for anxiety disorders and depression and, specifically, whether it was possible to predict the decisions to refer for evidence-based treatments. Method: Post hoc classification tree analysis was performed using a sample from an audit on implementation of the National Institute for Health and Clinical Excellence Guidelines for Depression and Anxiety Disorders. The audit was of 5 teams offering secondary care services; they included psychiatrists, psychologists, community psychiatric nurses, social workers, dual-diagnosis workers, and vocational workers. The patient sample included all of those with a primary problem of depression (n = 56) or an anxiety disorder (n = 16) who were offered treatment from February 16 to April 3, 2009. The outcome variable was whether or not evidence-based treatments were offered, and the predictor variables were presenting problem, risk, comorbid problem, social problems, and previous psychiatric history. Results: Treatment decisions could be more accurately predicted for anxiety disorders (93% correct) than for depression (55%). For anxiety disorders, the presence or absence of social problems was a good predictor for whether evidence-based or non–evidence-based treatments were offered; 44% (4/9) of those with social problems vs 100% (6/6) of those without social problems were offered evidence-based treatments. For depression, patients’ risk rating had the largest impact on treatment decisions, although no one variable could be identified as individually predictive of all treatment decisions. Conclusions: Treatment decisions were generally consistent for anxiety disorders but more idiosyncratic for depression, making the development of a decision-making model very difficult for depression. The lack of clarity of some terms in the clinical guidelines and the more complex nature of depression could be factors contributing to this difficulty. Further research is needed to understand the complex nature of decision making with depressed patients. PMID:22295255

Attachment and emotion regulation in substance addictions and behavioral addictions.

PubMed

Estévez, Ana; Jáuregui, Paula; Sánchez-Marcos, Inmaculada; López-González, Hibai; Griffiths, Mark D

2017-12-01

Background Risky behaviors have been related to emotional regulation and attachment, which may constitute risk factors for developing an addictive behavior. However, there may also be differences between substance and non-substance-related addictions. Aims This study aimed to examine the relationship of emotional regulation and attachment, with substance (alcohol and drug abuse), and non-substance-related addictions (gambling disorder, video game addiction, and problematic Internet use) in adolescents and emerging adults. The study also aimed to examine gender differences for such predictors. Methods The sample comprised 472 students aged 13-21 years recruited from high schools and vocational education centers. Results Findings demonstrated that emotion regulation was predictive of all addictive behaviors assessed in this study (alcohol and drug abuse, gambling disorder, video game addiction, and problematic Internet use), whereas attachment predicted non-substance-related addictions (gambling disorder, video game addiction, and problematic Internet use). In addition, gender differences were found, with females scoring significantly higher in maternal and peer attachment, whereas males scored significantly higher in gambling disorder and video game addiction. Conclusion The findings may be useful for preventive and clinical interventions conducted with youth regarding addictive behaviors.

Crosswalk between DSM-IV Dependence and DSM-5 Substance Use Disorders for Opioids, Cannabis, Cocaine and Alcohol

PubMed Central

Compton, Wilson M.; Dawson, Deborah A.; Goldstein, Risë B.; Grant, Bridget F.

2013-01-01

Background Ascertaining agreement between DSM-IV and DSM-5 is important to determine the applicability of treatments for DSM-IV conditions to persons diagnosed according to the proposed DSM-5. Methods Data from a nationally representative sample of US adults were used to compare concordance of past-year DSM-IV Opioid, Cannabis, Cocaine and Alcohol Dependence with past-year DSM-5 disorders at thresholds of 3+, 4+ 5+ and 6+ positive DSM-5 criteria among past-year users of opioids (n=264), cannabis (n=1,622), cocaine (n=271) and alcohol (n=23,013). Substance-specific 2×2 tables yielded overall concordance (kappa), sensitivity, specificity, positive predictive values (PPV) and negative predictive values (NPV). Results For DSM-IV Alcohol, Cocaine and Opioid Dependence, optimal concordance occurred when 4+ DSM-5 criteria were endorsed, corresponding to the threshold for moderate DSM-5 Alcohol, Cocaine and Opioid Use Disorders. Maximal concordance of DSM-IV Cannabis Dependence and DSM-5 Cannabis Use Disorder occurred when 6+ criteria were endorsed, corresponding to the threshold for severe DSM-5 Cannabis Use Disorder. At these optimal thresholds, sensitivity, specificity, PPV and NPV generally exceeded 85% (>75% for cannabis). Conclusions Overall, excellent correspondence of DSM-IV Dependence with DSM-5 Substance Use Disorders was documented in this general population sample of alcohol, cannabis, cocaine and opioid users. Applicability of treatments tested for DSM-IV Dependence is supported by these results for those with a DSM-5 Alcohol, Cocaine or Opioid Use Disorder of at least moderate severity or Severe Cannabis Use Disorder. Further research is needed to provide evidence for applicability of treatments for persons with milder substance use disorders. PMID:23642316

Conduct Disorder and Psychosocial Outcomes at Age 30: Early Adult Psychopathology as a Potential Mediator

ERIC Educational Resources Information Center

Olino, Thomas M.; Seeley, John R.; Lewinsohn, Peter M.

2010-01-01

Conduct disorder (CD) is associated with a number of adverse psychosocial outcomes in adulthood. There is consistent evidence that CD is predictive of antisocial behavior, but mixed evidence that CD is predictive of other externalizing and internalizing disorders. Further, externalizing and internalizing disorders are often associated with similar…

Does Acute Stress Disorder Predict Posttraumatic Stress Disorder Following Bank Robbery?

ERIC Educational Resources Information Center

Hansen, Maj; Elklit, Ask

2013-01-01

Unfortunately, the number of bank robberies is increasing and little is known about the subsequent risk of posttraumatic stress disorder (PTSD). Several studies have investigated the prediction of PTSD through the presence of acute stress disorder (ASD). However, there have only been a few studies following nonsexual assault. The present study…

Development and Preliminary Performance of a Risk Factor Screen to Predict Posttraumatic Psychological Disorder After Trauma Exposure

PubMed Central

Carlson, Eve B.; Palmieri, Patrick A.; Spain, David A.

2017-01-01

Objective We examined data from a prospective study of risk factors that increase vulnerability or resilience, exacerbate distress, or foster recovery to determine whether risk factors accurately predict which individuals will later have high posttraumatic (PT) symptom levels and whether brief measures of risk factors also accurately predict later symptom elevations. Method Using data from 129 adults exposed to traumatic injury of self or a loved one, we conducted receiver operating characteristic (ROC) analyses of 14 risk factors assessed by full-length measures, determined optimal cutoff scores and calculated predictive performance for the nine that were most predictive. For five risk factors, we identified sets of items that accounted for 90% of variance in total scores and calculated predictive performance for sets of brief risk measures. Results A set of nine risk factors assessed by full measures identified 89% of those who later had elevated PT symptoms (sensitivity) and 78% of those who did not (specificity). A set of four brief risk factor measures assessed soon after injury identified 86% of those who later had elevated PT symptoms and 72% of those who did not. Conclusions Use of sets of brief risk factor measures shows promise of accurate prediction of PT psychological disorder and probable PTSD or depression. Replication of predictive accuracy is needed in a new and larger sample. PMID:28622811

[Research on etiological aspects of dual pathology].

PubMed

Barea, Juan; Benito, Ana; Mateu, César; Martín, Eva; López, Nuria; Haro, Gonzalo

2010-01-01

It is important to assess the interaction between family psychopathologic history (FH), family dynamics (FD), behavior disorders, substance-use disorders and personality disorders (PD). Cross-sectional design. The sample was made up of 350 subjects with substance-use disorders who were assessed for FH including alcoholism and substance-use disorders through an interview; for substance use via a questionnaire; for FD; for PD using the International Personality Disorder Examination (IPDE); for behavior problems in adolescence; and for disocial disorder. Correlated variables were included in logistic regression models. Early age of onset for substance use is related to FH of substance use disorders and poorer FD. FH of alcoholism, substance-use disorders and psychiatric disorders are related to poorer FD. Early age of onset for substance use, FH and a disruptive FD are related to behavior problems and disocial disorder. Early age of onset for substance use, FH, disruptive FD, behavior problems and disocial disorder are related to presence of PD. Logistic regression predicted the presence of PD by age of onset for use of methadone (CI(95):1.005/3.222; p=0.048) and of other opiates (CI(95):0.864/0.992;p=0.028). FH score in alcoholism predicted Borderline Personality Disorder (CI(95):1.137- 2.942; p=0.013), and age of onset of cocaine use predicted Antisocial Personality Disorder (CI(95):0.864/0.992; p=0.028). FH of substance use and own use predict the presence of some PDs.

A test of the vulnerability model: temperament and temperament change as predictors of future mental disorders - the TRAILS study.

PubMed

Laceulle, Odilia M; Ormel, Johan; Vollebergh, Wilma A M; van Aken, Marcel A G; Nederhof, Esther

2014-03-01

This study aimed to test the vulnerability model of the relationship between temperament and mental disorders using a large sample of adolescents from the TRacking Adolescents Individual Lives' Survey (TRAILS). The vulnerability model argues that particular temperaments can place individuals at risk for the development of mental health problems. Importantly, the model may imply that not only baseline temperament predicts mental health problems prospectively, but additionally, that changes in temperament predict corresponding changes in risk for mental health problems. Data were used from 1195 TRAILS participants. Adolescent temperament was assessed both at age 11 and at age 16. Onset of mental disorders between age 16 and 19 was assessed at age 19, by means of the World Health Organization Composite International Diagnostic Interview (WHO CIDI). Results showed that temperament at age 11 predicted future mental disorders, thereby providing support for the vulnerability model. Moreover, temperament change predicted future mental disorders above and beyond the effect of basal temperament. For example, an increase in frustration increased the risk of mental disorders proportionally. This study confirms, and extends, the vulnerability model. Consequences of both temperament and temperament change were general (e.g., changes in frustration predicted both internalizing and externalizing disorders) as well as dimension specific (e.g., changes in fear predicted internalizing but not externalizing disorders). These findings confirm previous studies, which showed that mental disorders have both unique and shared underlying temperamental risk factors. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Discriminant of validity the Wender Utah rating scale in Iranian adults.

PubMed

Farokhzadi, Farideh; Mohammadi, Mohammad Reza; Salmanian, Maryam

2014-01-01

The aim of this study is the normalization of the Wender Utah rating scale which is used to detect adults with Attention-Deficit and Hyperactivity Disorder (ADHD). Available sampling method was used to choose 400 parents of children (200 parents of children with ADHD as compared to 200 parents of normal children). Wender Utah rating scale, which has been designed to diagnose ADHD in adults, is filled out by each of the parents to most accurately diagnose of ADHD in parents. Wender Utah rating scale was divided into 6 sub scales which consist of dysthymia, oppositional defiant disorder; school work problems, conduct disorder, anxiety, and ADHD were analyzed with exploratory factor analysis method. The value of (Kaiser-Meyer-Olkin) KMO was 86.5% for dysthymia, 86.9% for oppositional defiant disorder, 77.5% for school related problems, 90.9% for conduct disorder, 79.6% for anxiety and 93.5% for Attention deficit/hyperactivity disorder, also the chi square value based on Bartlett's Test was 2242.947 for dysthymia, 2239.112 for oppositional defiant disorder, 1221.917 for school work problems, 5031.511 for conduct, 1421.1 for anxiety, and 7644.122 for ADHD. Since mentioned values were larger than the chi square critical values (P<0.05), it found that the factor correlation matrix is appropriate for factor analysis. Based on the findings, we can conclude that Wender Utah rating scale can be appropriately used for predicting dysthymia, oppositional defiant disorder, school work problems, conduct disorder, anxiety, in adults with ADHD.

Report on the sixth blind test of organic crystal structure prediction methods

PubMed Central

Reilly, Anthony M.; Cooper, Richard I.; Adjiman, Claire S.; Bhattacharya, Saswata; Boese, A. Daniel; Brandenburg, Jan Gerit; Bygrave, Peter J.; Bylsma, Rita; Campbell, Josh E.; Car, Roberto; Case, David H.; Chadha, Renu; Cole, Jason C.; Cosburn, Katherine; Cuppen, Herma M.; Curtis, Farren; Day, Graeme M.; DiStasio Jr, Robert A.; Dzyabchenko, Alexander; van Eijck, Bouke P.; Elking, Dennis M.; van den Ende, Joost A.; Facelli, Julio C.; Ferraro, Marta B.; Fusti-Molnar, Laszlo; Gatsiou, Christina-Anna; Gee, Thomas S.; de Gelder, René; Ghiringhelli, Luca M.; Goto, Hitoshi; Grimme, Stefan; Guo, Rui; Hofmann, Detlef W. M.; Hoja, Johannes; Hylton, Rebecca K.; Iuzzolino, Luca; Jankiewicz, Wojciech; de Jong, Daniël T.; Kendrick, John; de Klerk, Niek J. J.; Ko, Hsin-Yu; Kuleshova, Liudmila N.; Li, Xiayue; Lohani, Sanjaya; Leusen, Frank J. J.; Lund, Albert M.; Lv, Jian; Ma, Yanming; Marom, Noa; Masunov, Artëm E.; McCabe, Patrick; McMahon, David P.; Meekes, Hugo; Metz, Michael P.; Misquitta, Alston J.; Mohamed, Sharmarke; Monserrat, Bartomeu; Needs, Richard J.; Neumann, Marcus A.; Nyman, Jonas; Obata, Shigeaki; Oberhofer, Harald; Oganov, Artem R.; Orendt, Anita M.; Pagola, Gabriel I.; Pantelides, Constantinos C.; Pickard, Chris J.; Podeszwa, Rafal; Price, Louise S.; Price, Sarah L.; Pulido, Angeles; Read, Murray G.; Reuter, Karsten; Schneider, Elia; Schober, Christoph; Shields, Gregory P.; Singh, Pawanpreet; Sugden, Isaac J.; Szalewicz, Krzysztof; Taylor, Christopher R.; Tkatchenko, Alexandre; Tuckerman, Mark E.; Vacarro, Francesca; Vasileiadis, Manolis; Vazquez-Mayagoitia, Alvaro; Vogt, Leslie; Wang, Yanchao; Watson, Rona E.; de Wijs, Gilles A.; Yang, Jack; Zhu, Qiang; Groom, Colin R.

2016-01-01

The sixth blind test of organic crystal structure prediction (CSP) methods has been held, with five target systems: a small nearly rigid molecule, a polymorphic former drug candidate, a chloride salt hydrate, a co-crystal and a bulky flexible molecule. This blind test has seen substantial growth in the number of participants, with the broad range of prediction methods giving a unique insight into the state of the art in the field. Significant progress has been seen in treating flexible molecules, usage of hierarchical approaches to ranking structures, the application of density-functional approximations, and the establishment of new workflows and ‘best practices’ for performing CSP calculations. All of the targets, apart from a single potentially disordered Z′ = 2 polymorph of the drug candidate, were predicted by at least one submission. Despite many remaining challenges, it is clear that CSP methods are becoming more applicable to a wider range of real systems, including salts, hydrates and larger flexible molecules. The results also highlight the potential for CSP calculations to complement and augment experimental studies of organic solid forms. PMID:27484368

The Relationship between ADHD Symptoms, Mood Instability, and Self-Reported Offending

ERIC Educational Resources Information Center

Gudjonsson, Gisli H.; Sigurdsson, Jon Fridrik; Adalsteinsson, Tomas F.; Young, Susan

2013-01-01

Objective: To investigate the relative importance of ADHD symptoms, mood instability, and antisocial personality disorder traits in predicting self-reported offending. Method: A total of 295 Icelandic students completed two scales of offending behavior and measures of ADHD symptoms, mood instability, and antisocial personality traits. Results:…

Recovery from Schizophrenia in Community-Based Psychosocial Rehabilitation Settings: Rates and Predictors

ERIC Educational Resources Information Center

Lim, Caroline; Barrio, Concepción; Hernandez, Mercedes; Barragán, Armando; Brekke, John S.

2017-01-01

Objective: We assessed the rate of recovery from schizophrenia in community-based psychosocial rehabilitation and whether psychosocial attributes predicted the achievement of recovery beyond demographic and clinical characteristics. Methods: We used data from 246 individuals with schizophrenia spectrum disorder collected at baseline and at 6 and…

Treatment of Phobic Disorders Using Cognitive and Exposure Methods: A Self-Efficacy Analysis.

ERIC Educational Resources Information Center

Biran, Mia; Wilson, G. Terence

1981-01-01

Examined predictions derived from self-efficacy theory in comparing the effects of exposure and cognitive interventions with simple phobics. Guided exposure (GE) was significantly superior to cognitive restructuring (CR) in enhancing approach behavior, increasing level and strength of self-efficacy, reducing subjective fear, and decreasing…

A Longitudinal Twin Study on the Association between ADHD Symptoms and Reading

ERIC Educational Resources Information Center

Greven, Corina U.; Rijsdijk, Fruhling V.; Asherson, Philip; Plomin, Robert

2012-01-01

Background: Attention deficit hyperactivity disorder (ADHD) and reading disability commonly co-occur because of shared genetic risk factors. However, the stability and change of these genetic influences and the predictive relationships underlying this association longitudinally remain unclear. Methods: ADHD symptoms and reading were assessed as…

A Proposal for a Dimensional Classification System Based on the Shared Features of the DSM-IV Anxiety and Mood Disorders: Implications for Assessment and Treatment

PubMed Central

Brown, Timothy A.; Barlow, David H.

2010-01-01

A wealth of evidence attests to the extensive current and lifetime diagnostic comorbidity of the DSM-IV anxiety and mood disorders. Research has shown that the considerable cross-sectional covariation of DSM-IV emotional disorders is accounted for by common higher-order dimensions such as neuroticism/behavioral inhibition (N/BI) and low positive affect/behavioral activation. Longitudinal studies have indicated that the temporal covariation of these disorders can be explained by changes in N/BI and in some cases, initial levels of N/BI are predictive of the temporal course of emotional disorders. Moreover, the marked phenotypal overlap of the DSM-IV anxiety and mood disorder constructs is a frequent source of diagnostic unreliability (e.g., temporal overlap in the shared features of generalized anxiety disorder and mood disorders, situation specificity of panic attacks in panic disorder and specific phobia). Although dimensional approaches have been considered as a method to address the drawbacks associated with the extant prototypical nosology (e.g., inadequate assessment of individual differences in disorder severity), these proposals do not reconcile key problems in current classification such as modest reliability and high comorbidity. The current paper considers an alternative approach that emphasizes empirically supported common dimensions of emotional disorders over disorder-specific criteria sets. The selection and assessment of these dimensions are discussed along with how these methods could be implemented to promote more reliable and valid diagnosis, prognosis, and treatment planning. For instance, the advantages of this classification system are discussed in context of current transdiagnostic treatment protocols that are efficaciously applied to a variety of disorders by targeting their shared features. PMID:19719339

Attachment Style and Resiliency in Patients with Obsessive-Compulsive Personality Disorder

PubMed Central

Zakiei, Ali; Farnia, Vahid; Khkian, Zinab; Shakeri, Jalal; Golshani, Sanobar

2017-01-01

Background The goal of the present study was to determine the relationships between attachment styles and resiliency in obsessive-compulsive personality disorder. Methods A random sample of 260 subjects was obtained from the population of undergraduate students of the Nour Branch of Islamic Azad University, which is located in Mazandaran, and these subjects were enrolled in this descriptive and correlational study. The collected data included the subjects' responses to an adult attachment style questionnaire, resilience scale, and obsessive-compulsive personality disorder questionnaire. The data were analyzed with Pearson correlation coefficient indices and multiple regressions. Results The results of the data analysis showed a positive correlation (relationship) between ambivalent/avoidant attachment styles and obsessive-compulsive personality disorder and a negative correlation between resilience and obsessive-compulsive personality disorder. Furthermore, these results demonstrated that attachment style and resiliency can predict obsessive-compulsive personality disorder. In addition, no significant relationships were found between the demographic variables (convertibles) and obsessive-compulsive personality disorder. Conclusion These results suggested that attachment style and resiliency contribute to the development of obsessive-compulsive personality disorder. PMID:28197331

Reading Skills of Students With Speech Sound Disorders at Three Stages of Literacy Development

PubMed Central

Skebo, Crysten M.; Lewis, Barbara A.; Freebairn, Lisa A.; Tag, Jessica; Ciesla, Allison Avrich; Stein, Catherine M.

2015-01-01

Purpose The relationship between phonological awareness, overall language, vocabulary, and nonlinguistic cognitive skills to decoding and reading comprehension was examined for students at 3 stages of literacy development (i.e., early elementary school, middle school, and high school). Students with histories of speech sound disorders (SSD) with and without language impairment (LI) were compared to students without histories of SSD or LI (typical language; TL). Method In a cross-sectional design, students ages 7;0 (years; months) to 17;9 completed tests that measured reading, language, and nonlinguistic cognitive skills. Results For the TL group, phonological awareness predicted decoding at early elementary school, and overall language predicted reading comprehension at early elementary school and both decoding and reading comprehension at middle school and high school. For the SSD-only group, vocabulary predicted both decoding and reading comprehension at early elementary school, and overall language predicted both decoding and reading comprehension at middle school and decoding at high school. For the SSD and LI group, overall language predicted decoding at all 3 literacy stages and reading comprehension at early elementary school and middle school, and vocabulary predicted reading comprehension at high school. Conclusion Although similar skills contribute to reading across the age span, the relative importance of these skills changes with children’s literacy stages. PMID:23833280

WAVELET-DOMAIN REGRESSION AND PREDICTIVE INFERENCE IN PSYCHIATRIC NEUROIMAGING

PubMed Central

Reiss, Philip T.; Huo, Lan; Zhao, Yihong; Kelly, Clare; Ogden, R. Todd

2016-01-01

An increasingly important goal of psychiatry is the use of brain imaging data to develop predictive models. Here we present two contributions to statistical methodology for this purpose. First, we propose and compare a set of wavelet-domain procedures for fitting generalized linear models with scalar responses and image predictors: sparse variants of principal component regression and of partial least squares, and the elastic net. Second, we consider assessing the contribution of image predictors over and above available scalar predictors, in particular via permutation tests and an extension of the idea of confounding to the case of functional or image predictors. Using the proposed methods, we assess whether maps of a spontaneous brain activity measure, derived from functional magnetic resonance imaging, can meaningfully predict presence or absence of attention deficit/hyperactivity disorder (ADHD). Our results shed light on the role of confounding in the surprising outcome of the recent ADHD-200 Global Competition, which challenged researchers to develop algorithms for automated image-based diagnosis of the disorder. PMID:27330652

Theoretical study of the transfer integral and density of states in spiro-linked triphenylamine derivatives.

PubMed

Kirkpatrick, James; Nelson, Jenny

2005-08-22

We present a method for calculating the parameters that control hopping transport in disordered molecular solids, i.e., the transfer integrals and the distribution of transport site energies. Average values of these parameters are obtained by performing quantum-chemical calculations on a large ensemble of bimolecular complexes in random relative orientations. The method is applied to triphenylamine (TPA) and three differently substituted spiro-linked phenylamine compounds, 2,2',7,7'-tetrakis-(N,N-di-4-methoxyphenylamino)-9,9'-spirobifluorene (spiro-MeOTAD), 2,2'7,7'-tetrakis-(N,N-diphenylhenylamino)-9,9'-spirobifluorene (spiro-TAD), and 2,2',7,7'-tetrakis-(N,N-di-m-methylphenylamino)-9,9'-spirobifluorene (spiro-m-TTB). In the case of TPA, the dependence of the root-mean-square hole transfer integral J on intermolecular separation r for the ensemble of relative orientations is compared with that obtained by performing the same calculations for a fixed, approximately cofacial, orientation of the two TPA molecules. The calculation for the disordered geometry predicts a larger localization radius r0, where J approximately exp(-r/r0), than the calculation for the fixed orientation and is in better agreement with experiment. In the case of the spiro-linked compounds, results from our method are compared with parameters extracted from time-of-flight mobility measurements analyzed with the Gaussian disorder model (GDM). We find that the highest occupied molecular-orbital (HOMO) energies of the bimolecular complexes are distributed on an asymmetric peak, whose width varies in qualitative agreement with the value of the energetic disorder sigma obtained from experimental data using the GDM. The mean-square hole transfer integral varies in accordance with the experimentally determined value of the mobility prefactor micro0. The differences between the differently substituted compounds are interpreted in terms of differences in the spatial extent of the wave function. Spiro-MeOTAD was found to have a greater localization radius, which leads to both a larger transfer integral and a broader distribution of HOMO energies than either of the other compounds. For these compounds, differences in energetic disorder could not be explained in terms of differences in the permanent dipole moment. Our method is proposed as an approximate means of predicting the effect of chemical structure on the values of transport parameters in disordered molecular films.

Longitudinal Prediction of Disruptive Behavior Disorders in Adolescent Males from Multiple Risk Domains

PubMed Central

Trentacosta, Christopher J.; Hyde, Luke W.; Goodlett, Benjamin D.; Shaw, Daniel S.

2012-01-01

The disruptive behavior disorders are among the most prevalent youth psychiatric disorders, and they predict numerous problematic outcomes in adulthood. This study examined multiple domains of risk during early childhood and early adolescence as longitudinal predictors of disruptive behavior disorder diagnoses among adolescent males. Early adolescent risks in the domains of sociodemographic factors, the caregiving context, and youth attributes were examined as mediators of associations between early childhood risks and disruptive behavior disorder diagnoses. Participants were 309 males from a longitudinal study of low-income mothers and their sons. Caregiving and youth risk during early adolescence each predicted the likelihood of receiving a disruptive behavior disorder diagnosis. Furthermore, sociodemographic and caregiving risk during early childhood were indirectly associated with disruptive behavior disorder diagnoses via their association with early adolescent risk. The findings suggest that preventive interventions targeting risk across domains may reduce the prevalence of disruptive behavior disorders. PMID:23239427

The association between interpersonal problems and treatment outcome in patients with eating disorders.

PubMed

Ung, Elise Meyn; Erichsen, Cecilie Birkmose; Poulsen, Stig; Lau, Marianne Engelbrecht; Simonsen, Sebastian; Davidsen, Annika Helgadóttir

2017-01-01

Interpersonal problems are thought to play an essential role in the development and maintenance of eating disorders. The aim of the current study was to investigate whether a specific interpersonal profile could be identified in a group of patients diagnosed with Bulimia Nervosa, Binge Eating Disorder, or Eating Disorders Not Otherwise Specified, and to explore if specific types of interpersonal problems were systematically related to treatment outcome in this group of patients. The participants were 159 patients who received systemic/narrative outpatient group psychotherapy. Interpersonal problems were measured at baseline, and eating disorder symptoms were measured pre- and post treatment. Data were analysed with the Structural Summary Method, a particular method for the analysis of the Inventory of Interpersonal Problems, and hierarchical regression analysis was conducted. The patients demonstrated a generally Non-assertive and Friendly-submissive interpersonal style. No significant association between the overall level of interpersonal problems and treatment outcome was identified. However, the results showed a correlation between being cold and hostile and poor treatment outcome, while being domineering showed a trend approaching significance in predicting better treatment outcome. The results indicate that patients with eating disorders show a specific interpersonal profile, and suggest that particular types of interpersonal problems are associated with treatment outcome.

Prediction of the binding affinities of peptides to class II MHC using a regularized thermodynamic model

PubMed Central

2010-01-01

Background The binding of peptide fragments of extracellular peptides to class II MHC is a crucial event in the adaptive immune response. Each MHC allotype generally binds a distinct subset of peptides and the enormous number of possible peptide epitopes prevents their complete experimental characterization. Computational methods can utilize the limited experimental data to predict the binding affinities of peptides to class II MHC. Results We have developed the Regularized Thermodynamic Average, or RTA, method for predicting the affinities of peptides binding to class II MHC. RTA accounts for all possible peptide binding conformations using a thermodynamic average and includes a parameter constraint for regularization to improve accuracy on novel data. RTA was shown to achieve higher accuracy, as measured by AUC, than SMM-align on the same data for all 17 MHC allotypes examined. RTA also gave the highest accuracy on all but three allotypes when compared with results from 9 different prediction methods applied to the same data. In addition, the method correctly predicted the peptide binding register of 17 out of 18 peptide-MHC complexes. Finally, we found that suboptimal peptide binding registers, which are often ignored in other prediction methods, made significant contributions of at least 50% of the total binding energy for approximately 20% of the peptides. Conclusions The RTA method accurately predicts peptide binding affinities to class II MHC and accounts for multiple peptide binding registers while reducing overfitting through regularization. The method has potential applications in vaccine design and in understanding autoimmune disorders. A web server implementing the RTA prediction method is available at http://bordnerlab.org/RTA/. PMID:20089173

Modeling charge transport in organic photovoltaic materials.

PubMed

Nelson, Jenny; Kwiatkowski, Joe J; Kirkpatrick, James; Frost, Jarvist M

2009-11-17

The performance of an organic photovoltaic cell depends critically on the mobility of charge carriers within the constituent molecular semiconductor materials. However, a complex combination of phenomena that span a range of length and time scales control charge transport in disordered organic semiconductors. As a result, it is difficult to rationalize charge transport properties in terms of material parameters. Until now, efforts to improve charge mobilities in molecular semiconductors have proceeded largely by trial and error rather than through systematic design. However, recent developments have enabled the first predictive simulation studies of charge transport in disordered organic semiconductors. This Account describes a set of computational methods, specifically molecular modeling methods, to simulate molecular packing, quantum chemical calculations of charge transfer rates, and Monte Carlo simulations of charge transport. Using case studies, we show how this combination of methods can reproduce experimental mobilities with few or no fitting parameters. Although currently applied to material systems of high symmetry or well-defined structure, further developments of this approach could address more complex systems such anisotropic or multicomponent solids and conjugated polymers. Even with an approximate treatment of packing disorder, these computational methods simulate experimental mobilities within an order of magnitude at high electric fields. We can both reproduce the relative values of electron and hole mobility in a conjugated small molecule and rationalize those values based on the symmetry of frontier orbitals. Using fully atomistic molecular dynamics simulations of molecular packing, we can quantitatively replicate vertical charge transport along stacks of discotic liquid crystals which vary only in the structure of their side chains. We can reproduce the trends in mobility with molecular weight for self-organizing polymers using a cheap, coarse-grained structural simulation method. Finally, we quantitatively reproduce the field-effect mobility in disordered C60 films. On the basis of these results, we conclude that all of the necessary building blocks are in place for the predictive simulation of charge transport in macromolecular electronic materials and that such methods can be used as a tool toward the future rational design of functional organic electronic materials.

Quantitative forecasting of PTSD from early trauma responses: a Machine Learning application.

PubMed

Galatzer-Levy, Isaac R; Karstoft, Karen-Inge; Statnikov, Alexander; Shalev, Arieh Y

2014-12-01

There is broad interest in predicting the clinical course of mental disorders from early, multimodal clinical and biological information. Current computational models, however, constitute a significant barrier to realizing this goal. The early identification of trauma survivors at risk of post-traumatic stress disorder (PTSD) is plausible given the disorder's salient onset and the abundance of putative biological and clinical risk indicators. This work evaluates the ability of Machine Learning (ML) forecasting approaches to identify and integrate a panel of unique predictive characteristics and determine their accuracy in forecasting non-remitting PTSD from information collected within 10 days of a traumatic event. Data on event characteristics, emergency department observations, and early symptoms were collected in 957 trauma survivors, followed for fifteen months. An ML feature selection algorithm identified a set of predictors that rendered all others redundant. Support Vector Machines (SVMs) as well as other ML classification algorithms were used to evaluate the forecasting accuracy of i) ML selected features, ii) all available features without selection, and iii) Acute Stress Disorder (ASD) symptoms alone. SVM also compared the prediction of a) PTSD diagnostic status at 15 months to b) posterior probability of membership in an empirically derived non-remitting PTSD symptom trajectory. Results are expressed as mean Area Under Receiver Operating Characteristics Curve (AUC). The feature selection algorithm identified 16 predictors, present in ≥ 95% cross-validation trials. The accuracy of predicting non-remitting PTSD from that set (AUC = .77) did not differ from predicting from all available information (AUC = .78). Predicting from ASD symptoms was not better then chance (AUC = .60). The prediction of PTSD status was less accurate than that of membership in a non-remitting trajectory (AUC = .71). ML methods may fill a critical gap in forecasting PTSD. The ability to identify and integrate unique risk indicators makes this a promising approach for developing algorithms that infer probabilistic risk of chronic posttraumatic stress psychopathology based on complex sources of biological, psychological, and social information. Copyright © 2014 Elsevier Ltd. All rights reserved.

The presence, predictive utility, and clinical significance of body dysmorphic symptoms in women with eating disorders

PubMed Central

2013-01-01

Background Both eating disorders (EDs) and body dysmorphic disorder (BDD) are disorders of body image. This study aimed to assess the presence, predictive utility, and impact of clinical features commonly associated with BDD in women with EDs. Methods Participants recruited from two non-clinical cohorts of women, symptomatic and asymptomatic of EDs, completed a survey on ED (EDE-Q) and BDD (BDDE-SR) psychopathology, psychological distress (K-10), and quality of life (SF-12). Results A strong correlation was observed between the total BDDE-SR and the global EDE-Q scores (r = 0.79, p < 0.001). Multivariate analyses demonstrated that participants with probable EDs (n = 61) and BDD (n = 23) scored higher on 28 of the 30 BDDE-SR items compared to healthy controls (n = 173; all p < 0.05), indicating greater severity of BDD symptoms. BDD participants also scored higher than ED participants on 15 of the 30 BDDE-SR items (all p < 0.05). The remaining 15 items that ED and BDD participants scored similarly on (all p > 0.05) measured appearance checking, reassurance-seeking, camouflaging, comparison-making, and social avoidance. In addition to these behaviors, inspection of sensitivity (Se) and specificity (Sp) revealed that BDDE-SR items measuring preoccupation and dissatisfaction with appearance were most predictive of ED cases (Se and Sp > 0.60). Higher total BDDE-SR scores were associated with greater distress on the K-10 and poorer quality of life on the SF-12 (all p < 0.01). Conclusions Clinical features central to the model of BDD are common in, predictive of, and associated with impairment in women with EDs. Practice implications are that these features be included in the assessment and treatment of EDs. PMID:24999401

Prognostic significance of functional somatic symptoms in adolescence: a 15-year community-based follow-up study of adolescents with depression compared with healthy peers

PubMed Central

2012-01-01

Background There is a lack of population-based long-term longitudinal research on mental health status and functional physical/somatic symptoms. Little is known about the long-term mental health outcomes associated with somatic symptoms or the temporal relationship between depression and such symptoms. This 15-year study followed up adolescents with depression and matched controls, screened from a population-based sample, who reported different numbers of somatic symptoms. Methods The total population of 16–17-year-olds in Uppsala, Sweden, was screened for depression in 1991–1993. Adolescents who screened positive and an equal number of healthy controls took part in a semi-structured diagnostic interview. In addition, 21 different self-rated somatic symptoms were assessed. Sixty-four percent of those adolescents participated in a follow-up structured interview 15 years later. Results Somatic symptoms in adolescence predicted depression and other adult mental disorders regardless of the presence of adolescent depression. In adolescents with depression, the number of functional somatic symptoms predicted, in a dose response relationship, suicidal behavior, bipolar episodes, and psychotic episodes as well as chronic and recurrent depression. Contrary to expectations, the somatic symptoms of abdominal pain and perspiration without exertion better predicted depression than all DSM-IV depressive symptoms. Abdominal pain persisted as an independent strong predictor of depression and anxiety, even after controlling for other important confounders. Conclusions Somatic symptoms in adolescence can predict severe adult mental health disorders. The number of somatic symptoms concurrent with adolescent depression is, in a stepwise manner, linked to suicidal attempts, bipolar disorders, psychotic disorders, and recurrent and chronic depression. These findings can be useful in developing treatment guidelines for patients with somatic symptoms. PMID:22839681

Cognitive Performance and Long-Term Social Functioning in Psychotic Disorder: A Three-Year Follow-Up Study

PubMed Central

Simons, Claudia J. P.; Bartels-Velthuis, Agna A.; Pijnenborg, Gerdina H. M.

2016-01-01

Objective Studies have linked cognitive functioning to everyday social functioning in psychotic disorders, but the nature of the relationships between cognition, social cognition, symptoms, and social functioning remains unestablished. Modelling the contributions of non-social and social cognitive ability in the prediction of social functioning may help in more clearly defining therapeutic targets to improve functioning. Method In a sample of 745 patients with a non-affective psychotic disorder, the associations between cognition and social cognition at baseline on the one hand, and self-reported social functioning three years later on the other, were analysed. First, case-control comparisons were conducted; associations were subsequently further explored in patients, investigating the potential mediating role of symptoms. Analyses were repeated in a subsample of 233 patients with recent-onset psychosis. Results Information processing speed and immediate verbal memory were stronger associated with social functioning in patients than in healthy controls. Most cognition variables significantly predicted social functioning at follow-up, whereas social cognition was not associated with social functioning. Symptoms were robustly associated with follow-up social functioning, with negative symptoms fully mediating most associations between cognition and follow-up social functioning. Illness duration did not moderate the strength of the association between cognitive functioning and follow-up social functioning. No associations were found between (social) cognition and follow-up social functioning in patients with recent-onset psychosis. Conclusions Although cognitive functioning is associated with later social functioning in psychotic disorder, its role in explaining social functioning outcome above negative symptoms appears only modest. In recent-onset psychosis, cognition may have a negligible role in predicting later social functioning. Moreover, social cognition tasks may not predict self-reported social functioning. PMID:27082629

Preschool Anxiety Disorders Predict Different Patterns of Amygdala-Prefrontal Connectivity at School-Age

PubMed Central

Carpenter, Kimberly L. H.; Angold, Adrian; Chen, Nan-Kuei; Copeland, William E.; Gaur, Pooja; Pelphrey, Kevin; Song, Allen W.; Egger, Helen L.

2015-01-01

Objective In this prospective, longitudinal study of young children, we examined whether a history of preschool generalized anxiety, separation anxiety, and/or social phobia is associated with amygdala-prefrontal dysregulation at school-age. As an exploratory analysis, we investigated whether distinct anxiety disorders differ in the patterns of this amygdala-prefrontal dysregulation. Methods Participants were children taking part in a 5-year study of early childhood brain development and anxiety disorders. Preschool symptoms of generalized anxiety, separation anxiety, and social phobia were assessed with the Preschool Age Psychiatric Assessment (PAPA) in the first wave of the study when the children were between 2 and 5 years old. The PAPA was repeated at age 6. We conducted functional MRIs when the children were 5.5 to 9.5 year old to assess neural responses to viewing of angry and fearful faces. Results A history of preschool social phobia predicted less school-age functional connectivity between the amygdala and the ventral prefrontal cortices to angry faces. Preschool generalized anxiety predicted less functional connectivity between the amygdala and dorsal prefrontal cortices in response to fearful faces. Finally, a history of preschool separation anxiety predicted less school-age functional connectivity between the amygdala and the ventral prefrontal cortices to angry faces and greater school-age functional connectivity between the amygdala and dorsal prefrontal cortices to angry faces. Conclusions Our results suggest that there are enduring neurobiological effects associated with a history of preschool anxiety, which occur over-and-above the effect of subsequent emotional symptoms. Our results also provide preliminary evidence for the neurobiological differentiation of specific preschool anxiety disorders. PMID:25625285

Subthreshold Depressive Disorder in Adolescents: Predictors of Escalation to Full-Syndrome Depressive Disorders

PubMed Central

KLEIN, DANIEL N.; SHANKMAN, STEWART A.; LEWINSOHN, PETER M.; SEELEY, JOHN R.

2010-01-01

Objectives Subthreshold depressive disorder is one of the best established risk factors for the onset of full-syndrome depressive disorders. However, many youths with subthreshold depressive disorder do not develop full-syndrome depression. We examined predictors of escalation to full-syndrome depressive disorders in a community sample of 225 adolescents with subthreshold depressive disorder. Method Criteria for subthreshold depressive disorder were an episode of depressed mood or loss of interest or pleasure lasting at least 1 week and at least two of the seven other DSM-IV-associated symptoms for major depression. Participants were assessed four times from mid-adolescence to age 30 years using semistructured diagnostic interviews. Results The estimated risk for escalation to full-syndrome depressive disorders was 67%. Five variables accounted for unique variance in predicting escalation: severity of depressive symptoms, medical conditions/symptoms, history of suicidal ideation, history of anxiety disorder, and familial loading for depression. Adolescents with three or more risk factors had an estimated 90% chance of escalating to full-syndrome depressive disorder, compared with 47% of adolescents with fewer than three risk factors. Conclusions These data may be useful in identifying a subgroup of youths with subthreshold depressive disorder who are at especially high risk for escalating to full-syndrome depressive disorders. PMID:19465876

History of Major Depressive Disorder Prospectively Predicts Worse Quality of Life in Women with Breast Cancer

PubMed Central

Small, Brent J.; Minton, Susan; Andrykowski, Michael; Jacobsen, Paul B.

2012-01-01

Background Data are scarce about whether past history of major depressive disorder in the absence of current depression places breast cancer patients at risk for worse quality of life. Purpose The current study prospectively examined quality of life during chemotherapy in breast cancer patients with a history of resolved major depressive disorder (n=29) and no history of depression (n=144). Methods Women with Stages 0–II breast cancer were assessed prior to and at the completion of chemotherapy. Major depressive disorder was assessed via structured interview and quality of life with the SF-36. Results Patients with past major depressive disorder displayed greater declines in physical functioning relative to patients with no history of depression (p≤0.01). Conclusions Findings suggest that breast cancer patients with a history of resolved major depressive disorder are at increased risk for declines in physical functioning during chemotherapy relative to patients with no history of depression. PMID:22167580

Stressful life events as predictors of functioning: findings from the Collaborative Longitudinal Personality Disorders Study

PubMed Central

Pagano, M. E.; Skodol, A. E.; Stout, R. L.; Shea, M. T.; Yen, S.; Grilo, C. M.; Sanislow, C. A.; Bender, D. S.; McGlashan, T. H.; Zanarini, M. C.; Gunderson, J. G.

2008-01-01

Objective Although much attention has been given to the effects of adverse childhood experiences on the development of personality disorders (PDs), we know far less about how recent life events influence the ongoing course of functioning. We examined the extent to which PD subjects differ in rates of life events and the extent to which life events impact psychosocial functioning. Method A total of 633 subjects were drawn from the Collaborative Longitudinal Personality Disorders Study (CLPS), a multi-site study of four personality disorders – schizotypal (STPD), borderline (BPD), avoidant (AVPD), obsessive-compulsive (OCPD) – and a comparison group of major depressive disorders (MDD) without PD. Results Borderline personality disorder subjects reported significantly more total negative life events than other PDs or subjects with MDD. Negative events, especially interpersonal events, predicted decreased psychosocial functioning over time. Conclusion Our findings indicate higher rates of negative events in subjects with more severe PDs and suggest that negative life events adversely impact multiple areas of psychosocial functioning. PMID:15521826

Moderation of the Relationship Between Reward Expectancy and Prediction Error-Related Ventral Striatal Reactivity by Anhedonia in Unmedicated Major Depressive Disorder: Findings From the EMBARC Study

PubMed Central

Greenberg, Tsafrir; Chase, Henry W.; Almeida, Jorge R.; Stiffler, Richelle; Zevallos, Carlos R.; Aslam, Haris A.; Deckersbach, Thilo; Weyandt, Sarah; Cooper, Crystal; Toups, Marisa; Carmody, Thomas; Kurian, Benji; Peltier, Scott; Adams, Phillip; McInnis, Melvin G.; Oquendo, Maria A.; McGrath, Patrick J.; Fava, Maurizio; Weissman, Myrna; Parsey, Ramin; Trivedi, Madhukar H.; Phillips, Mary L.

2016-01-01

Objective Anhedonia, disrupted reward processing, is a core symptom of major depressive disorder. Recent findings demonstrate altered reward-related ventral striatal reactivity in depressed individuals, but the extent to which this is specific to anhedonia remains poorly understood. The authors examined the effect of anhedonia on reward expectancy (expected outcome value) and prediction error-(discrepancy between expected and actual outcome) related ventral striatal reactivity, as well as the relationship between these measures. Method A total of 148 unmedicated individuals with major depressive disorder and 31 healthy comparison individuals recruited for the multisite EMBARC (Establishing Moderators and Biosignatures of Antidepressant Response in Clinical Care) study underwent functional MRI during a well-validated reward task. Region of interest and whole-brain data were examined in the first- (N=78) and second- (N=70) recruited cohorts, as well as the total sample, of depressed individuals, and in healthy individuals. Results Healthy, but not depressed, individuals showed a significant inverse relationship between reward expectancy and prediction error-related right ventral striatal reactivity. Across all participants, and in depressed individuals only, greater anhedonia severity was associated with a reduced reward expectancy-prediction error inverse relationship, even after controlling for other symptoms. Conclusions The normal reward expectancy and prediction error-related ventral striatal reactivity inverse relationship concords with conditioning models, predicting a shift in ventral striatal responding from reward outcomes to reward cues. This study shows, for the first time, an absence of this relationship in two cohorts of unmedicated depressed individuals and a moderation of this relationship by anhedonia, suggesting reduced reward-contingency learning with greater anhedonia. These findings help elucidate neural mechanisms of anhedonia, as a step toward identifying potential biosignatures of treatment response. PMID:26183698

Specific expectancies are associated with symptomatic outcomes and side effect burden in a trial of chamomile extract for Generalized Anxiety Disorder

PubMed Central

Keefe, John R.; Amsterdam, Jay; Li, Qing S; Soeller, Irene; DeRubeis, Robert; Mao, Jun J

2017-01-01

Objective Patient expectancies are hypothesized to contribute to the efficacy and side effects of psychiatric treatments, but little research has investigated this hypothesis in the context of psychopharmacological therapies for anxiety. We prospectively investigated whether expectancies predicted efficacy and adverse events in oral therapy for Generalized Anxiety Disorder (GAD), controlling for confounding patient characteristics correlating with outcomes. Methods Expectancies regarding treatment efficacy and side effects were assessed at baseline of an eight week open-label phase of a trial of chamomile for Generalized Anxiety Disorder (GAD). The primary outcome was patient-reported GAD-7 scores, with clinical response and treatment-emergent side-effects as secondary outcomes. Expectancies were used to predict symptomatic and side-effect outcomes. Results Very few baseline patient characteristics predicted either type of expectancy. Controlling for a patient’s predicted recovery based on their baseline characteristics, higher efficacy expectancies at baseline predicted greater change on the GAD-7 (adjusted β = −0.19, p = 0.011). Efficacy expectancies also predicted a higher likelihood of attaining clinical response (adjusted odds ratio = 1.69, p = 0.002). Patients with higher side effect expectancies reported more side effects (adjusted log expected count = 0.26, p = 0.038). Efficacy expectancies were unrelated to side effect reports (log expected count = −0.05, p = 0.680), and side effect expectancies were unrelated to treatment efficacy (β = 0.08, p = 0.306). Conclusions Patients entering chamomile treatment for GAD with more favorable self-generated expectancies for the treatment experience greater improvement and fewer adverse events. Aligning patient expectancies with treatment selections may optimize outcomes. PMID:27716513

[Predictive factors of anxiety disorders].

PubMed

Domschke, K

2014-10-01

Anxiety disorders are among the most frequent mental disorders in Europe (12-month prevalence 14%) and impose a high socioeconomic burden. The pathogenesis of anxiety disorders is complex with an interaction of biological, environmental and psychosocial factors contributing to the overall disease risk (diathesis-stress model). In this article, risk factors for anxiety disorders will be presented on several levels, e.g. genetic factors, environmental factors, gene-environment interactions, epigenetic mechanisms, neuronal networks ("brain fear circuit"), psychophysiological factors (e.g. startle response and CO2 sensitivity) and dimensional/subclinical phenotypes of anxiety (e.g. anxiety sensitivity and behavioral inhibition), and critically discussed regarding their potential predictive value. The identification of factors predictive of anxiety disorders will possibly allow for effective preventive measures or early treatment interventions, respectively, and reduce the individual patient's suffering as well as the overall socioeconomic burden of anxiety disorders.

A Cerebellar Framework for Predictive Coding and Homeostatic Regulation in Depressive Disorder.

PubMed

Schutter, Dennis J L G

2016-02-01

Depressive disorder is associated with abnormalities in the processing of reward and punishment signals and disturbances in homeostatic regulation. These abnormalities are proposed to impair error minimization routines for reducing uncertainty. Several lines of research point towards a role of the cerebellum in reward- and punishment-related predictive coding and homeostatic regulatory function in depressive disorder. Available functional and anatomical evidence suggests that in addition to the cortico-limbic networks, the cerebellum is part of the dysfunctional brain circuit in depressive disorder as well. It is proposed that impaired cerebellar function contributes to abnormalities in predictive coding and homeostatic dysregulation in depressive disorder. Further research on the role of the cerebellum in depressive disorder may further extend our knowledge on the functional and neural mechanisms of depressive disorder and development of novel antidepressant treatments strategies targeting the cerebellum.

OPAL: prediction of MoRF regions in intrinsically disordered protein sequences.

PubMed

Sharma, Ronesh; Raicar, Gaurav; Tsunoda, Tatsuhiko; Patil, Ashwini; Sharma, Alok

2018-06-01

Intrinsically disordered proteins lack stable 3-dimensional structure and play a crucial role in performing various biological functions. Key to their biological function are the molecular recognition features (MoRFs) located within long disordered regions. Computationally identifying these MoRFs from disordered protein sequences is a challenging task. In this study, we present a new MoRF predictor, OPAL, to identify MoRFs in disordered protein sequences. OPAL utilizes two independent sources of information computed using different component predictors. The scores are processed and combined using common averaging method. The first score is computed using a component MoRF predictor which utilizes composition and sequence similarity of MoRF and non-MoRF regions to detect MoRFs. The second score is calculated using half-sphere exposure (HSE), solvent accessible surface area (ASA) and backbone angle information of the disordered protein sequence, using information from the amino acid properties of flanks surrounding the MoRFs to distinguish MoRF and non-MoRF residues. OPAL is evaluated using test sets that were previously used to evaluate MoRF predictors, MoRFpred, MoRFchibi and MoRFchibi-web. The results demonstrate that OPAL outperforms all the available MoRF predictors and is the most accurate predictor available for MoRF prediction. It is available at http://www.alok-ai-lab.com/tools/opal/. ashwini@hgc.jp or alok.sharma@griffith.edu.au. Supplementary data are available at Bioinformatics online.

Gender differences in the effects of childhood adversity on alcohol, drug, and polysubstance-related disorders.

PubMed

Evans, Elizabeth A; Grella, Christine E; Upchurch, Dawn M

2017-07-01

To examine gender differences in the associations between childhood adversity and different types of substance use disorders and whether gender moderates these relationships. We analyzed data from 19,209 women and 13,898 men as provided by Wave 2 (2004-2005) of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC) to examine whether gender moderates the associations between childhood adversity and DSM-IV defined lifetime occurrence of alcohol, drug, and polysubstance-related disorders. We used multinomial logistic regression, weighted to be representative of the US adult civilian, noninstitutionalized population, and we calculated predicted probabilities by gender, controlling for covariates. To test which specific moderation contrasts were statistically significant, we conducted pair-wise comparisons corrected for multiple comparisons using Bonferroni's method. For each type of substance use disorder, risk was increased by more exposure to childhood adversity, and women had a lower risk than men. However, moderation effects revealed that with more experiences of childhood adversity, the gender gap in predicted probability for a disorder narrowed in relation to alcohol, it converged in relation to drugs such that risk among women surpassed that among men, and it widened in relation to polysubstances. Knowledge regarding substance-specific gender differences associated with childhood adversity exposure can inform evidence-based treatments. It may also be useful for shaping other types of gender-sensitive public health initiatives to ameliorate or prevent different types of substance use disorders.

Taste Reward Circuitry Related Brain Structures Characterize Ill and Recovered Anorexia Nervosa and Bulimia Nervosa

PubMed Central

Frank, Guido K.; Shott, Megan E.; Hagman, Jennifer O.; Mittal, Vijay A.

2013-01-01

Objective The pathophysiology of the eating disorder anorexia nervosa remains obscure, but structural brain alterations could be functionally important biomarkers. Here we assessed taste pleasantness and reward sensitivity in relation to brain structure, which might be related to food avoidance commonly seen in eating disorders. Method We used structural magnetic resonance brain imaging to study gray and white matter volumes in individuals with restricting type currently ill (n = 19) or recovered-anorexia nervosa (n = 24), bulimia nervosa (n= 19) and healthy control women (n=24). Results All eating disorder groups showed increased gray matter volume of the medial orbitofrontal cortex (gyrus rectus). Manually tracing confirmed larger gyrus rectus volume, and predicted taste pleasantness across all groups. The analyses also indicated other morphological differences between diagnostic categories: Ill and recovered-anorexia nervosa had increased right, while bulimia nervosa had increased left antero-ventral insula gray matter volumes compared to controls. Furthermore, dorsal striatum volumes were reduced in recovered-anorexia and bulimia nervosa, and predicted sensitivity to reward in the eating disorder groups. The eating disorder groups also showed reduced white matter in right temporal and parietal areas when compared to healthy controls. Notably, the results held when controlling for a range of covariates (e.g., age, depression, anxiety, medications). Conclusion Brain structure in medial orbitofrontal cortex, insula and striatum is altered in eating disorders and suggests altered brain circuitry that has been associated with taste pleasantness and reward value. PMID:23680873

Does Older Age Confer an Increased Risk of Incident Neurocognitive Disorders Among Persons Living with HIV Disease?

PubMed Central

Sheppard, David P.; Woods, Steven Paul; Bondi, Mark W.; Gilbert, Paul E.; Massman, Paul J.; Doyle, Katie L.

2015-01-01

Objective This study aimed to determine the combined effects of age and HIV infection on the risk of incident neurocognitive disorders. Method A total of 146 neurocognitively normal participants were enrolled at baseline into one of four groups based on age (≤ 40 years and ≥ 50 years) and HIV serostatus resulting in 24 younger HIV−, 27 younger HIV+, 39 older HIV−, and 56 older HIV+ individuals. All participants were administered a standardized clinical neuropsychological battery at baseline and 14.3 ±0.2 months later. Results A logistic regression predicting incident neurocognitive disorders from HIV, age group, and their interaction was significant (χ2[4] = 13.56, p = .009), with a significant main effect of HIV serostatus (χ2[1] = 5.01, p = .025), but no main effect of age or age by HIV interaction (ps > .10). Specifically, 15.7 percent of the HIV+ individuals had an incident neurocognitive disorder as compared to 3.2 percent of the HIV− group (odds ratio = 4.8 [1.2, 32.6]). Among older HIV+ adults, lower baseline cognitive reserve, prospective memory, and verbal fluency each predicted incident neurocognitive disorders at follow-up. Conclusions Independent of age, HIV infection confers a nearly 5-fold risk for developing a neurocognitive disorder over approximately one year. Individuals with lower cognitive reserve and mild weaknesses in higher-order neurocognitive functions may be targeted for closer clinical monitoring and preventative measures. PMID:26367342

Validating new summary indices for the Childhood Trauma Interview: associations with first onsets of major depressive disorder and anxiety disorders.

PubMed

Vrshek-Schallhorn, Suzanne; Wolitzky-Taylor, Kate; Doane, Leah D; Epstein, Alyssa; Sumner, Jennifer A; Mineka, Susan; Zinbarg, Richard E; Craske, Michelle G; Isaia, Ashley; Hammen, Constance; Adam, Emma K

2014-09-01

Childhood and adolescent adversity is of great interest in relation to risk for psychopathology, and interview measures of adversity are thought to be more reliable and valid than their questionnaire counterparts. One interview measure, the Childhood Trauma Interview (CTI; Fink et al., 1995), has been positively evaluated relative to similar measures, but there are some psychometric limitations to an existing scoring approach that limit the full potential of this measure. We propose several new summary indices for the CTI that permit examination of different types of adversity and different developmental periods. Our approach creates several summary indices: one sums the severity scores of adversities endorsed; another utilizes the number of minor and major (moderate to severe) adversities. The new indices were examined in association with first onsets of major depressive disorder (MDD) and anxiety disorders across a 5-year period using annual clinical diagnostic interviews (Structured Clinical Interview for DSM-IV-TR). Summary scores derived with the previously used approach were also examined for comparison. Data on 332 participants came from the Youth Emotion Project, a longitudinal study of risk for emotional disorders. Results support the predictive validity of the proposed summary scoring methods and indicate that several forms of major (but typically not minor) adversity are significantly associated with first onsets of MDD and anxiety disorders. Finally, multivariate regression models show that, in many instances, the new indices contributed significant unique variance predicting disorder onsets over and above the previously used summary indices. PsycINFO Database Record (c) 2014 APA, all rights reserved.

What Good are Positive Emotions for Treatment? Trait Positive Emotionality Predicts Response to Cognitive Behavioral Therapy for Anxiety

PubMed Central

Taylor, Charles T.; Knapp, Sarah E.; Bomyea, Jessica A.; Ramsawh, Holly J.; Paulus, Martin P.; Stein, Murray B.

2017-01-01

Objective Cognitive behavioral therapy (CBT) is empirically supported for the treatment of anxiety disorders; however, not all individuals achieve recovery following CBT. Positive emotions serve a number of functions that theoretically should facilitate response to CBT – they promote flexible patterns of information processing and assimilation of new information, encourage approach-oriented behavior, and speed physiological recovery from negative emotions. We conducted a secondary analysis of an existing clinical trial dataset to test the a priori hypothesis that individual differences in trait positive emotions would predict CBT response for anxiety. Method Participants meeting diagnostic criteria for panic disorder (n=28) or generalized anxiety disorder (n=31) completed 10 weekly individual CBT sessions. Trait positive emotionality was assessed at pre-treatment, and severity of anxiety symptoms and associated impairment was assessed throughout treatment. Results Participants who reported a greater propensity to experience positive emotions at pre-treatment displayed the largest reduction in anxiety symptoms as well as fewer symptoms following treatment. Positive emotions remained a robust predictor of change in symptoms when controlling for baseline depression severity. Conclusions Initial evidence supports the predictive value of trait positive emotions as a prognostic indicator for CBT outcome in a GAD and PD sample. PMID:28342947

Secretive Food Concocting in Binge Eating: Test of a Famine Hypothesis

PubMed Central

Boggiano, Mary M.; Turan, Bulent; Maldonado, Christine R.; Oswald, Kimberly D.; Shuman, Ellen S.

2016-01-01

Objective Food concocting, or making strange food mixtures, is well documented in the famine and experimental semistarvation literature and appears anecdotally in rare descriptions of eating disorder (ED) patients but has never been scientifically investigated. Here we do so in the context of binge-eating using a “famine hypothesis of concocting.” Method A sample of 552 adults varying in binge eating and dieting traits completed a Concocting Survey created for this study. Exploratory ED groups were created to obtain predictions as to the nature of concocting in clinical populations. Results Binge eating predicted the 24.6% of participants who reported having ever concocted but dietary restraint, independently, even after controlling for binge eating, predicted its frequency and salience. Craving was the main motive. Emotions while concocting mirrored classic high-arousal symptoms associated with drug use; while eating the concoctions were associated with intensely negative/self-deprecating emotions. Concocting prevalence and salience was greater in the anorexia > bulimia > BED > no ED groups, consistent with their respectively incrementing dieting scores. Discussion Concocting distinguishes binge eating from other overeating and, consistent with the famine hypothesis, is accounted for by dietary restraint. Unlike its adaptive function in famine, concocting could worsen binge-eating disorders by increasing negative effect, shame, and secrecy. Its assessment in these disorders may prove therapeutically valuable. PMID:23255044

Symptom Dimensions in Obsessive-Compulsive Disorder and Obsessive Beliefs.

PubMed

Cordeiro, Trinette; Sharma, Mahendra P; Thennarasu, Kandavel; Reddy, Y C Janardhan

2015-01-01

Obsessive-compulsive disorder (OCD) is a heterogeneous condition with a few major symptom dimensions. These symptom dimensions are thought to have unique clinical and neurobiological correlates. There seems to be a specific relation between OCD symptom dimensions and obsessive beliefs, but the findings are not consistent across studies. There is also a paucity of literature from culturally diverse settings. One of the reasons for the varied findings could be due to the method employed in measuring OCD symptoms. In this study, we examined the relation between symptom dimensions and obsessive beliefs using the Dimensional Yale-Brown Obsessive-Compulsive Scale and the Obsessive Beliefs Questionnaire respectively in 75 patients with Diagnostic and Statistical Manual of Mental Disorders-Fourth Edition OCD. Perfectionism predicted both aggressive and symmetry dimensions whereas responsibility beliefs predicted sexual and religious dimensions. The findings suggest that certain obsessive beliefs predicted certain OCD symptom dimensions, but results are not entirely consistent with the published literature suggesting the possibility of cross-cultural variations. That the symptom dimensions have unique belief domains support the argument that symptom dimensions could be targeted to reduce the heterogeneity in etiological and treatment studies of OCD. Therapeutic interventions may have to aim at modifying unique belief domains underlying certain symptom dimensions rather than having generic cognitive-behavioral strategies.

Personality Disorder Symptom Severity Predicts Onset of Mood Episodes and Conversion to Bipolar I Disorder in Individuals with Bipolar Spectrum Disorder

PubMed Central

Ng, Tommy H.; Burke, Taylor A.; Stange, Jonathan P.; Walshaw, Patricia D.; Weiss, Rachel B.; Urosevic, Snezana; Abramson, Lyn Y.; Alloy, Lauren B.

2017-01-01

Although personality disorders (PDs) are highly comorbid with bipolar spectrum disorders (BSDs), little longitudinal research has been conducted to examine the prospective impact of PD symptoms on the course of BSDs. The aim of this study is to examine whether PD symptom severity predicts shorter time to onset of bipolar mood episodes and conversion to bipolar I disorder over time among individuals with less severe BSDs. Participants (n = 166) with bipolar II disorder, cyclothymia, or bipolar disorder not otherwise specified completed diagnostic interview assessments of PD symptoms and self-report measures of mood symptoms at baseline. They were followed prospectively with diagnostic interviews every four months for an average of 3.02 years. Cox proportional hazard regression analyses indicated that overall PD symptom severity significantly predicted shorter time to onset of hypomanic (hazard ratio [HR]= 1.42; p < .001) and major depressive episodes (HR = 1.51; p < .001) and conversion to bipolar I disorder (HR = 2.51; p < .001), after controlling for mood symptoms. Results also suggested that cluster B severity predicted shorter time to onset of hypomanic episodes (HR = 1.38; p = .002) and major depressive episodes (HR = 1.35; p = .01) and conversion to bipolar I disorder (HR = 2.77; p < .001), whereas cluster C severity (HR= 1.56; p < .001) predicted shorter time to onset of major depressive episodes. These results support predisposition models in suggesting that PD symptoms may act as a risk factor for a more severe course of BSDs. PMID:28368159

Personality disorder symptom severity predicts onset of mood episodes and conversion to bipolar I disorder in individuals with bipolar spectrum disorder.

PubMed

Ng, Tommy H; Burke, Taylor A; Stange, Jonathan P; Walshaw, Patricia D; Weiss, Rachel B; Urosevic, Snezana; Abramson, Lyn Y; Alloy, Lauren B

2017-04-01

Although personality disorders (PDs) are highly comorbid with bipolar spectrum disorders (BSDs), little longitudinal research has been conducted to examine the prospective impact of PD symptoms on the course of BSDs. The aim of this study is to examine whether PD symptom severity predicts shorter time to onset of bipolar mood episodes and conversion to bipolar I disorder over time among individuals with less severe BSDs. Participants (n = 166) with bipolar II disorder, cyclothymia, or bipolar disorder not otherwise specified completed diagnostic interview assessments of PD symptoms and self-report measures of mood symptoms at baseline. They were followed prospectively with diagnostic interviews every 4 months for an average of 3.02 years. Cox proportional hazard regression analyses indicated that overall PD symptom severity significantly predicted shorter time to onset of hypomanic (hazard ratio [HR] = 1.42; p < .001) and major depressive episodes (HR = 1.51; p < .001) and conversion to bipolar I disorder (HR = 2.51; p < .001), after controlling for mood symptoms. Results also suggested that cluster B severity predicted shorter time to onset of hypomanic episodes (HR = 1.38; p = .002) and major depressive episodes (HR = 1.35; p = .01) and conversion to bipolar I disorder (HR = 2.77; p < .001), whereas cluster C severity (HR = 1.56; p < .001) predicted shorter time to onset of major depressive episodes. These results support predisposition models in suggesting that PD symptoms may act as a risk factor for a more severe course of BSDs. (PsycINFO Database Record (c) 2017 APA, all rights reserved).

The DSM-5 Levels of Personality Functioning and Severity of Iranian Patients With Antisocial and Borderline Personality Disorders

PubMed Central

Amini, Mehdi; Pourshahbaz, Abbas; Mohammadkhani, Parvaneh; Khodaie Ardakani, Mohammad Reza; Lotfi, Mozhgan

2015-01-01

Background: Fundamental problems with Personality Disorders (PD) diagnostic system in the previous version of DSM, led to the revision of DSM. Therefore, a multidimensional system has been proposed for diagnosis of personality disorder features in DSM-5. In the dimensional approach of DSM-5, personality disorders diagnosis is based on levels of personality functioning (Criteria A) and personality trait domains (Criteria B). Objectives: The purpose of this study was firstly, to examine the DSM-5 levels of personality functioning in antisocial and borderline personality disorders, and second, to explore which levels of personality functioning in patients with antisocial and borderline personality disorders can better predicted severity than others. Patients and Methods: This study had a cross sectional design. The participants consisted of 252 individuals with antisocial (n = 122) and borderline personality disorders (n = 130). They were recruited from Tehran prisoners, and clinical psychology and psychiatry centers of Razi and Taleghani Hospitals, Tehran, Iran. The sample was selected based on judgmental sampling. The SCID-II-PQ, SCID-II and DSM-5 levels of personality functioning were used to diagnose and assess personality disorders. The data were analyzed by correlation and multiple regression analysis. All statistical analyses were performed using the SPSS 16 software. Results: Firstly, it was found that DSM-5 levels of personality functioning have a strong correlation with antisocial and borderline personality symptoms, specially intimacy and self-directedness (P < 0.001). Secondly, the findings showed that identity, intimacy and self-directedness significantly predicted antisocial personality disorder severity (P < 0.0001). The results showed that intimacy and empathy were good predictors of borderline personality disorder severity, as well (P < 0.0001). Conclusions: Overall, our findings showed that levels of personality functioning are a significant predictor of personality disorders severity. The results partially confirm existing studies. PMID:26430521

Low pre-treatment end-tidal CO2 predicts dropout from cognitive-behavioral therapy for anxiety and related disorders.

PubMed

Tolin, David F; Billingsley, Amber L; Hallion, Lauren S; Diefenbach, Gretchen J

2017-03-01

Recent clinical trial research suggests that baseline low end-tidal CO 2 (ETCO 2 , the biological marker of hyperventilation) may predict poorer response to cognitive-behavioral therapy (CBT) for anxiety-related disorders. The present study examined the predictive value of baseline ETCO 2 among patients treated for such disorders in a naturalistic clinical setting. Sixty-nine adults with a primary diagnosis of a DSM-5 anxiety disorder, obsessive-compulsive disorder, or posttraumatic stress disorder completed a 4-min assessment of resting ETCO 2 , and respiration rate (the first minute was analyzed). Lower ETCO 2 was not associated with a diagnosis of panic disorder, and was associated with lower subjective distress ratings on certain measures. Baseline ETCO 2 significantly predicted treatment dropout: those meeting cutoff criteria for hypocapnia were more than twice as likely to drop out of treatment, and ETCO 2 significantly predicted dropout beyond other pre-treatment variables. Weekly measurement suggested that the lower-ETCO 2 patients who dropped out were not responding well to treatment prior to dropout. The present results, along with previous clinical trial data, suggest that lower pre-treatment ETCO 2 is a negative prognostic indicator for CBT for anxiety-related disorders. It is suggested that patients with lower ETCO 2 might benefit from additional intervention that targets respiratory abnormality. Copyright © 2016 Elsevier Ltd. All rights reserved.

Psychosocial stressors and the prognosis of major depression: a test of Axis IV

PubMed Central

Gilman, Stephen E.; Trinh, Nhi-Ha; Smoller, Jordan W.; Fava, Maurizio; Murphy, Jane M.; Breslau, Joshua

2013-01-01

Background Axis IV is for reporting “psychosocial and environmental problems that may affect the diagnosis, treatment, and prognosis of mental disorders.” No studies have examined the prognostic value of Axis IV in DSM-IV. Method We analyzed data from 2,497 participants in the National Epidemiologic Survey on Alcohol and Related Conditions with major depressive episode (MDE). We hypothesized that psychosocial stressors predict a poor prognosis of MDE. Secondarily, we hypothesized that psychosocial stressors predict a poor prognosis of anxiety and substance use disorders. Stressors were defined according to DSM-IV’s taxonomy, and empirically using latent class analysis. Results Primary support group problems, occupational problems, and childhood adversity increased the risks of depressive episodes and suicidal ideation by 20–30%. Associations of the empirically derived classes of stressors with depression were larger in magnitude. Economic stressors conferred a 1.5-fold increase in risk for a depressive episode (CI=1.2–1.9); financial and interpersonal instability conferred a 1.3-fold increased risk of recurrent depression (CI=1.1–1.6). These two classes of stressors also predicted the recurrence of anxiety and substance use disorders. Stressors were not related to suicidal ideation independent from depression severity. Conclusions Psychosocial and environmental problems are associated with the prognosis of MDE and other Axis I disorders. Though DSM-IV’s taxonomy of stressors stands to be improved, these results provide empirical support for the prognostic value of Axis IV. Future work is needed to determine the reliability of Axis IV assessments in clinical practice, and the usefulness of this information to improving the clinical course of mental disorders. PMID:22640506

Post-traumatic stress disorder associated with sexual assault among women in the WHO World Mental Health Surveys

PubMed Central

Scott, Kate M.; Koenen, Karestan C.; King, Andrew; Petukhova, Maria V.; Alonso, Jordi; Bromet, Evelyn J.; Bruffaerts, Ronny; Bunting, Brendan; de Jonge, Peter; Haro, Josep Maria; Karam, Elie G.; Lee, Sing; Medina-Mora, Maria Elena; Navarro-Mateu, Fernando; Sampson, Nancy A.; Shahly, Victoria; Stein, Dan J.; Torres, Yolanda; Zaslavsky, Alan M.; Kessler, Ronald C.

2018-01-01

Background Sexual assault is a global concern with PTSD one of the common sequelae. Early intervention can help prevent PTSD, making identification of those at high risk for the disorder a priority. Lack of representative sampling of both sexual assault survivors and sexual assaults in prior studies might have reduced the ability to develop accurate prediction models for early identification of high-risk sexual assault survivors. Methods Data come from 12 face-to-face, cross-sectional surveys of community-dwelling adults conducted in 11 countries. Analysis was based on the data from the 411 women from these surveys for whom sexual assault was the randomly selected lifetime traumatic event (TE). Seven classes of predictors were assessed: socio-demographics, characteristics of the assault, the respondent’s retrospective perception that she could have prevented the assault, other prior lifetime TEs, exposure to childhood family adversities and prior mental disorders. Results Prevalence of DSM-IV PTSD associated with randomly-selected sexual assaults was 20.2%. PTSD was more common for repeated than single-occurrence victimization and positively associated with prior TEs and childhood adversities. Respondent perception that she could have prevented the assault interacted with history of mental disorder such that it reduced odds of PTSD but only among women without prior disorders (OR 0.2, 95% CI 0.1-0.9). The final model estimated that 40.3% of women with PTSD would be found among the 10% with the highest predicted risk. Conclusions Whether counterfactual preventability cognitions are adaptive may depend on mental health history. Predictive modelling may be useful in targeting high-risk women for preventive interventions. PMID:28625214

Risk factors predict post-traumatic stress disorder differently in men and women

PubMed Central

Christiansen, Dorte M; Elklit, Ask

2008-01-01

Background About twice as many women as men develop post-traumatic stress disorder (PTSD), even though men as a group are exposed to more traumatic events. Exposure to different trauma types does not sufficiently explain why women are more vulnerable. Methods The present work examines the effect of age, previous trauma, negative affectivity (NA), anxiety, depression, persistent dissociation, and social support on PTSD separately in men and women. Subjects were exposed to either a series of explosions in a firework factory near a residential area or to a high school stabbing incident. Results Some gender differences were found in the predictive power of well known risk factors for PTSD. Anxiety predicted PTSD in men, but not in women, whereas the opposite was found for depression. Dissociation was a better predictor for PTSD in women than in men in the explosion sample but not in the stabbing sample. Initially, NA predicted PTSD better in women than men in the explosion sample, but when compared only to other significant risk factors, it significantly predicted PTSD for both men and women in both studies. Previous traumatic events and age did not significantly predict PTSD in either gender. Conclusion Gender differences in the predictive value of social support on PTSD appear to be very complex, and no clear conclusions can be made based on the two studies included in this article. PMID:19017412

Predictive Validity of ICD-10 Hyperkinetic Disorder Relative to DSM-IV Attention-Deficit/Hyperactivity Disorder among Younger Children

ERIC Educational Resources Information Center

Lahey, Benjamin B.; Pelham, William E.; Chronis, Andrea; Massetti, Greta; Kipp, Heidi; Ehrhardt, Ashley; Lee, Steve S.

2006-01-01

Background: Little is known about the predictive validity of hyperkinetic disorder (HKD) as defined by the Diagnostic Criteria for Research for mental and behavioral disorders of the tenth edition of the International Classification of Diseases (ICD-10; World Health Organization, 1993), particularly when the diagnosis is given to younger children.…

Comparison of the Adult ADHD Self Report Scale Screener for DSM-IV and DSM-5 in a Dually Diagnosed Correctional Population.

PubMed

Bastiaens, Leo; Galus, James

2018-06-01

The diagnosis of Attention Deficit Hyperactivity Disorder in adults with Substance Use Disorders is complicated. A specific screening tool, such as the World Health Organization Adult ADHD Self Report Scale Screener can be the first step in identifying the condition. Recently, the screener has been revised because the Diagnostic and Statistical Manual of Mental Disorders, Fifth edition, made some changes to the criteria for Attention Deficit Hyperactivity Disorder. This study compared the screeners based upon the Fourth and Fifth edition of the Manual. One hundred and forty patients, including seventy with Attention Deficit Hyperactivity Disorder, completed both screeners, independent from a clinical diagnostic interview. The sensitivity, specificity, and predictive values were calculated based on four different scoring methods: a categorical score of three or four positive answers, and a dimensional score of twelve or fourteen. Both screening instruments appeared to perform equally without significant differences between them, no matter which scoring system was used. However, the only satisfactory result was obtained using the dimensional scoring with a cutoff of 12, providing a sensitivity and negative predictive value above 80%. This is a lower cut off than recommended in community and clinic samples. It is possible that the cut off of the screener may need to be adjusted depending on the circumstances within which it is used.

Moving From Static to Dynamic Models of the Onset of Mental Disorder: A Review.

PubMed

Nelson, Barnaby; McGorry, Patrick D; Wichers, Marieke; Wigman, Johanna T W; Hartmann, Jessica A

2017-05-01

In recent years, there has been increased focus on subthreshold stages of mental disorders, with attempts to model and predict which individuals will progress to full-threshold disorder. Given this research attention and the clinical significance of the issue, this article analyzes the assumptions of the theoretical models in the field. Psychiatric research into predicting the onset of mental disorder has shown an overreliance on one-off sampling of cross-sectional data (ie, a snapshot of clinical state and other risk markers) and may benefit from taking dynamic changes into account in predictive modeling. Cross-disciplinary approaches to complex system structures and changes, such as dynamical systems theory, network theory, instability mechanisms, chaos theory, and catastrophe theory, offer potent models that can be applied to the emergence (or decline) of psychopathology, including psychosis prediction, as well as to transdiagnostic emergence of symptoms. Psychiatric research may benefit from approaching psychopathology as a system rather than as a category, identifying dynamics of system change (eg, abrupt vs gradual psychosis onset), and determining the factors to which these systems are most sensitive (eg, interpersonal dynamics and neurochemical change) and the individual variability in system architecture and change. These goals can be advanced by testing hypotheses that emerge from cross-disciplinary models of complex systems. Future studies require repeated longitudinal assessment of relevant variables through either (or a combination of) micro-level (momentary and day-to-day) and macro-level (month and year) assessments. Ecological momentary assessment is a data collection technique appropriate for micro-level assessment. Relevant statistical approaches are joint modeling and time series analysis, including metric-based and model-based methods that draw on the mathematical principles of dynamical systems. This next generation of prediction studies may more accurately model the dynamic nature of psychopathology and system change as well as have treatment implications, such as introducing a means of identifying critical periods of risk for mental state deterioration.

Predictive classification of pediatric bipolar disorder using atlas-based diffusion weighted imaging and support vector machines.

PubMed

Mwangi, Benson; Wu, Mon-Ju; Bauer, Isabelle E; Modi, Haina; Zeni, Cristian P; Zunta-Soares, Giovana B; Hasan, Khader M; Soares, Jair C

2015-11-30

Previous studies have reported abnormalities of white-matter diffusivity in pediatric bipolar disorder. However, it has not been established whether these abnormalities are able to distinguish individual subjects with pediatric bipolar disorder from healthy controls with a high specificity and sensitivity. Diffusion-weighted imaging scans were acquired from 16 youths diagnosed with DSM-IV bipolar disorder and 16 demographically matched healthy controls. Regional white matter tissue microstructural measurements such as fractional anisotropy, axial diffusivity and radial diffusivity were computed using an atlas-based approach. These measurements were used to 'train' a support vector machine (SVM) algorithm to predict new or 'unseen' subjects' diagnostic labels. The SVM algorithm predicted individual subjects with specificity=87.5%, sensitivity=68.75%, accuracy=78.12%, positive predictive value=84.62%, negative predictive value=73.68%, area under receiver operating characteristic curve (AUROC)=0.7812 and chi-square p-value=0.0012. A pattern of reduced regional white matter fractional anisotropy was observed in pediatric bipolar disorder patients. These results suggest that atlas-based diffusion weighted imaging measurements can distinguish individual pediatric bipolar disorder patients from healthy controls. Notably, from a clinical perspective these findings will contribute to the pathophysiological understanding of pediatric bipolar disorder. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Non-equilibrium Green's functions method: Non-trivial and disordered leads

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

He, Yu, E-mail: heyuyhe@gmail.com; Wang, Yu; Klimeck, Gerhard

2014-11-24

The non-equilibrium Green's function algorithm requires contact self-energies to model charge injection and extraction. All existing approaches assume infinitely periodic leads attached to a possibly quite complex device. This contradicts today's realistic devices in which contacts are spatially inhomogeneous, chemically disordered, and impacting the overall device characteristics. This work extends the complex absorbing potentials method for arbitrary, ideal, or non-ideal leads in atomistic tight binding representation. The algorithm is demonstrated on a Si nanowire with periodic leads, a graphene nanoribbon with trumpet shape leads, and devices with leads of randomly alloyed Si{sub 0.5}Ge{sub 0.5}. It is found that alloy randomnessmore » in the leads can reduce the predicted ON-state current of Si{sub 0.5}Ge{sub 0.5} transistors by 45% compared to conventional lead methods.« less

Lifetime mental disorders and suicidal behaviour in South Africa.

PubMed

Khasakhala, L; Sorsdahl, K R; Harder, V S; Williams, D R; Stein, D J; Ndetei, D M

2011-05-01

There is relatively little data on the relationship between lifetime mental disorders and suicidal behaviour in low and middle income countries. This study examines the relationship between lifetime mental disorders, and subsequent suicide ideation, plans, and suicide attempts in South Africa. A national survey of 4185 South African adults was conducted using the World Health Organization Composite International Diagnostic Interview (CIDI) to generate psychiatric diagnoses and suicidal behaviour. Bivariate, multivariate and discrete-time survival analyses were employed to investigate the associations between mental disorders and subsequent suicide ideation, plans, and attempts. Sixty-one percent of people who seriously considered killing themselves at some point in their lifetime reported having a prior DSM-IV disorder. Mental disorders predict the onset of suicidal ideation, but have weaker effects in predicting suicide plans or attempts. After controlling for comorbid mental disorders, PTSD was the strongest predictor of suicidal ideation and attempts. There is a relationship between number of mental disorders and suicidal behaviour, with comorbidity having significantly sub-additive effects. Consistent with data from the developed world, mental disorders are strong predictors of suicidal behaviour, and these associations are more often explained by the prediction of ideation, rather than the prediction of attempts amongst ideators. This suggests some universality of the relevant mechanisms underlying the genesis of suicidal thoughts, and the progression to suicide attempts.

Predicting posttraumatic stress disorder in children and parents following accidental child injury: evaluation of the Screening Tool for Early Predictors of Posttraumatic Stress Disorder (STEPP).

PubMed

van Meijel, Els P M; Gigengack, Maj R; Verlinden, Eva; Opmeer, Brent C; Heij, Hugo A; Goslings, J Carel; Bloemers, Frank W; Luitse, Jan S K; Boer, Frits; Grootenhuis, Martha A; Lindauer, Ramón J L

2015-05-12

Children and their parents are at risk of posttraumatic stress disorder (PTSD) following injury due to pediatric accidental trauma. Screening could help predict those at greatest risk and provide an opportunity for monitoring so that early intervention may be provided. The purpose of this study was to evaluate the Screening Tool for Early Predictors of Posttraumatic Stress Disorder (STEPP) in a mixed-trauma sample in a non-English speaking country (the Netherlands). Children aged 8-18 and one of their parents were recruited in two academic level I trauma centers. The STEPP was assessed in 161 children (mean age 13.9 years) and 156 parents within one week of the accident. Three months later, clinical diagnoses and symptoms of PTSD were assessed in 147 children and 135 parents. We used the Anxiety Disorders Interview Schedule for DSM-IV - Child and Parent version, the Children's Revised Impact of Event Scale and the Impact of Event Scale-Revised. Receiver Operating Characteristic analyses were performed to estimate the Areas Under the Curve as a measure of performance and to determine the optimal cut-off score in our sample. Sensitivity, specificity, positive and negative predictive values were calculated. The aim was to maximize both sensitivity and negative predictive values. PTSD was diagnosed in 12% of the children; 10% of their parents scored above the cut-off point for PTSD. At the originally recommended cut-off scores (4 for children, 3 for parents), the sensitivity in our sample was 41% for children and 54% for parents. Negative predictive values were 92% for both groups. Adjusting the cut-off scores to 2 improved sensitivity to 82% for children and 92% for parents, with negative predictive values of 92% and 96%, respectively. With adjusted cut-off scores, the STEPP performed well: 82% of the children and 92% of the parents with a subsequent positive diagnosis were identified correctly. Special attention in the screening procedure is required because of a high rate of false positives. The STEPP appears to be a valid and useful instrument that can be used in the Netherlands as a first screening method in stepped psychotrauma care following accidents.

Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports.

PubMed

Kessler, R C; van Loo, H M; Wardenaar, K J; Bossarte, R M; Brenner, L A; Cai, T; Ebert, D D; Hwang, I; Li, J; de Jonge, P; Nierenberg, A A; Petukhova, M V; Rosellini, A J; Sampson, N A; Schoevers, R A; Wilcox, M A; Zaslavsky, A M

2016-10-01

Heterogeneity of major depressive disorder (MDD) illness course complicates clinical decision-making. Although efforts to use symptom profiles or biomarkers to develop clinically useful prognostic subtypes have had limited success, a recent report showed that machine-learning (ML) models developed from self-reports about incident episode characteristics and comorbidities among respondents with lifetime MDD in the World Health Organization World Mental Health (WMH) Surveys predicted MDD persistence, chronicity and severity with good accuracy. We report results of model validation in an independent prospective national household sample of 1056 respondents with lifetime MDD at baseline. The WMH ML models were applied to these baseline data to generate predicted outcome scores that were compared with observed scores assessed 10-12 years after baseline. ML model prediction accuracy was also compared with that of conventional logistic regression models. Area under the receiver operating characteristic curve based on ML (0.63 for high chronicity and 0.71-0.76 for the other prospective outcomes) was consistently higher than for the logistic models (0.62-0.70) despite the latter models including more predictors. A total of 34.6-38.1% of respondents with subsequent high persistence chronicity and 40.8-55.8% with the severity indicators were in the top 20% of the baseline ML-predicted risk distribution, while only 0.9% of respondents with subsequent hospitalizations and 1.5% with suicide attempts were in the lowest 20% of the ML-predicted risk distribution. These results confirm that clinically useful MDD risk-stratification models can be generated from baseline patient self-reports and that ML methods improve on conventional methods in developing such models.

Testing a machine-learning algorithm to predict the persistence and severity of major depressive disorder from baseline self-reports

PubMed Central

Kessler, Ronald C.; van Loo, Hanna M.; Wardenaar, Klaas J.; Bossarte, Robert M.; Brenner, Lisa A.; Cai, Tianxi; Ebert, David Daniel; Hwang, Irving; Li, Junlong; de Jonge, Peter; Nierenberg, Andrew A.; Petukhova, Maria V.; Rosellini, Anthony J.; Sampson, Nancy A.; Schoevers, Robert A.; Wilcox, Marsha A.; Zaslavsky, Alan M.

2015-01-01

Heterogeneity of major depressive disorder (MDD) illness course complicates clinical decision-making. While efforts to use symptom profiles or biomarkers to develop clinically useful prognostic subtypes have had limited success, a recent report showed that machine learning (ML) models developed from self-reports about incident episode characteristics and comorbidities among respondents with lifetime MDD in the World Health Organization World Mental Health (WMH) Surveys predicted MDD persistence, chronicity, and severity with good accuracy. We report results of model validation in an independent prospective national household sample of 1,056 respondents with lifetime MDD at baseline. The WMH ML models were applied to these baseline data to generate predicted outcome scores that were compared to observed scores assessed 10–12 years after baseline. ML model prediction accuracy was also compared to that of conventional logistic regression models. Area under the receiver operating characteristic curve (AUC) based on ML (.63 for high chronicity and .71–.76 for the other prospective outcomes) was consistently higher than for the logistic models (.62–.70) despite the latter models including more predictors. 34.6–38.1% of respondents with subsequent high persistence-chronicity and 40.8–55.8% with the severity indicators were in the top 20% of the baseline ML predicted risk distribution, while only 0.9% of respondents with subsequent hospitalizations and 1.5% with suicide attempts were in the lowest 20% of the ML predicted risk distribution. These results confirm that clinically useful MDD risk stratification models can be generated from baseline patient self-reports and that ML methods improve on conventional methods in developing such models. PMID:26728563

Structural protein descriptors in 1-dimension and their sequence-based predictions.

PubMed

Kurgan, Lukasz; Disfani, Fatemeh Miri

2011-09-01

The last few decades observed an increasing interest in development and application of 1-dimensional (1D) descriptors of protein structure. These descriptors project 3D structural features onto 1D strings of residue-wise structural assignments. They cover a wide-range of structural aspects including conformation of the backbone, burying depth/solvent exposure and flexibility of residues, and inter-chain residue-residue contacts. We perform first-of-its-kind comprehensive comparative review of the existing 1D structural descriptors. We define, review and categorize ten structural descriptors and we also describe, summarize and contrast over eighty computational models that are used to predict these descriptors from the protein sequences. We show that the majority of the recent sequence-based predictors utilize machine learning models, with the most popular being neural networks, support vector machines, hidden Markov models, and support vector and linear regressions. These methods provide high-throughput predictions and most of them are accessible to a non-expert user via web servers and/or stand-alone software packages. We empirically evaluate several recent sequence-based predictors of secondary structure, disorder, and solvent accessibility descriptors using a benchmark set based on CASP8 targets. Our analysis shows that the secondary structure can be predicted with over 80% accuracy and segment overlap (SOV), disorder with over 0.9 AUC, 0.6 Matthews Correlation Coefficient (MCC), and 75% SOV, and relative solvent accessibility with PCC of 0.7 and MCC of 0.6 (0.86 when homology is used). We demonstrate that the secondary structure predicted from sequence without the use of homology modeling is as good as the structure extracted from the 3D folds predicted by top-performing template-based methods.

No association between serum cholesterol and death by suicide in patients with schizophrenia, bipolar affective disorder, or major depressive disorder

PubMed Central

2013-01-01

Background Previous research on serum total cholesterol and suicidality has yielded conflicting results. Several studies have reported a link between low serum total cholesterol and suicidality, whereas others have failed to replicate these findings, particularly in patients with major affective disorders. These discordant findings may reflect the fact that studies often do not distinguish between patients with bipolar and unipolar depression; moreover, definitions and classification schemes for suicide attempts in the literature vary widely. Methods Subjects were patients with one of the three major psychiatric disorders commonly associated with suicide: schizophrenia, bipolar affective disorder, and major depressive disorder (MDD). We compared serum lipid levels in patients who died by suicide (82 schizophrenia, 23 bipolar affective disorder, and 67 MDD) and non-suicide controls (200 schizophrenia, 49 bipolar affective disorder, and 175 MDD). Results Serum lipid profiles did not differ between patients who died by suicide and control patients in any diagnostic group. Conclusions Our results do not support the use of biological indicators such as serum total cholesterol to predict suicide risk among patients with a major psychiatric disorder. PMID:24308827

Elevated amniotic fluid lactate predicts labor disorders and cesarean delivery in nulliparous women at term.

PubMed

Murphy, Martina; Butler, Michelle; Coughlan, Barbara; Brennan, Donal; O'Herlihy, Colm; Robson, Michael

2015-11-01

We sought to assess amniotic fluid lactate (AFL) at diagnosis of spontaneous labor at term (≥37 weeks) as a predictor of labor disorders (dystocia) and cesarean delivery (CD). This was a single-institution, prospective cohort study of 905 singleton, cephalic, term (≥37 weeks) nulliparous women in spontaneous labor. A standard management of labor (active management of labor) including a standard oxytocin regimen up to a maximum dose of 30 mU/min was applied. AFL was measured using a point-of-care device (LMU061; ObsteCare, Stockholm, Sweden). Labor arrest in the first stage of labor was defined as the need for oxytocin when cervical dilatation was <1 cm/h over 2 hours and in the second stage of labor by poor descent and rotation over 1 hour. Standard statistical analysis included analysis of variance, Pearson correlations, and binary logistic regression. Unsupervised decision tree analysis with 10-fold cross-validation was used to identify AFL thresholds. AFL was normally distributed and did not correlate with age, body mass index, or gestation. Unsupervised decision tree analysis demonstrated that AFL could be divided into 3 groups: 0-4.9 mmol/L (n = 118), 5.0-9.9 mmol/L (n = 707), and ≥10.0 mmol/L (n = 80). Increasing AFL was associated with higher total oxytocin dose (P = .001), labor disorders (P = .005), and CD (P ≤ .001). Multivariable regression analysis demonstrated that women with AFL ≥5.0-9.9 mmol/L (odds ratio [OR], 1.6; 95% confidence interval [CI], 1.06-2.39) and AFL ≥10.0 mmol/L (OR, 1.72; 95% CI, 1.01-2.93) were independent predictors of a labor disorder. AFL ≥5.0-9.9 mmol/L did not predict CD but multivariable analysis confirmed that AFL ≥10.0 mmol/L was an independent predictor of CD (OR, 3.35; 95% CI, 1.73-6.46). AFL ≥5.0-9.9 mmol/L had a sensitivity of 89% in predicting a labor disorder and a sensitivity of 93% in predicting CD with a 97% negative predictive value. AFL ≥10.0 mmol/L was highly specific but lacked sensitivity for CD. There was no difference in birthweight of infants according to labor disorder and delivery method. AFL at diagnosis of labor in spontaneously laboring single cephalic nulliparous term women is an independent predictor of a labor disorder and CD. These data suggest that women with AFL between 5.0-9.9 mmol/L with a labor disorder may be amenable to correction using the active management of labor protocol. Copyright © 2015 Elsevier Inc. All rights reserved.

Readiness to Recover in Adolescent Anorexia Nervosa: Prediction of Hospital Admission

ERIC Educational Resources Information Center

Ametller, L.; Castro, J.; Serrano, E.; Martinez, E.; Toro, J.

2005-01-01

Objectives: To determine if motivation to change in anorexia nervosa during treatment is a predictor of hospitalisation in adolescent patients. Method: The Anorexia Nervosa Stages of Change Questionnaire (ANSOCQ), the Eating Disorders Inventory-2 (EDI-2) and the Beck Depression Inventory (BDI) were administered to a group of 70 anorexia nervosa…

A Computational Model Quantifies the Effect of Anatomical Variability on Velopharyngeal Function

ERIC Educational Resources Information Center

Inouye, Joshua M.; Perry, Jamie L.; Lin, Kant Y.; Blemker, Silvia S.

2015-01-01

Purpose: This study predicted the effects of velopharyngeal (VP) anatomical parameters on VP function to provide a greater understanding of speech mechanics and aid in the treatment of speech disorders. Method: We created a computational model of the VP mechanism using dimensions obtained from magnetic resonance imaging measurements of 10 healthy…

Severity of Hyperacusis Predicts Individual Differences in Speech Perception in Williams Syndrome

ERIC Educational Resources Information Center

Elsabbagh, M.; Cohen, H.; Cohen, M.; Rosen, S.; Karmiloff-Smith, A.

2011-01-01

Background: Williams Syndrome (WS) is a neurodevelopmental disorder of genetic origin, characterised by relative proficiency in language in the face of serious impairment in several other domains. Individuals with WS display an unusual sensitivity to noise, known as hyperacusis. Methods: In this study, we examined the extent to which hyperacusis…

Predicting Posttraumatic Stress Symptoms Longitudinally in a Representative Sample of Hospitalized Injured Adolescents

ERIC Educational Resources Information Center

Zatzick, Douglas F.; Grossman, David C.; Russo, Joan; Pynoos, Robert; Berliner, Lucy; Jurkovich, Gregory; Sabin, Janice A.; Katon, Wayne; Ghesquiere, Angela; McCauley, Elizabeth; Rivara, Frederick P.

2006-01-01

Objective: Adolescents constitute a high-risk population for traumatic physical injury, yet few longitudinal investigations have assessed the development of posttraumatic stress disorder (PTSD) symptoms over time in representative samples. Method: Between July 2002 and August 2003,108 randomly selected injured adolescent patients ages 12 to 18 and…

Developmental Dyslexia: Predicting Individual Risk

ERIC Educational Resources Information Center

Thompson, Paul A.; Hulme, Charles; Nash, Hannah M.; Gooch, Debbie; Hayiou-Thomas, Emma; Snowling, Margaret J.

2015-01-01

Background: Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods: The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6…

Elevated Childhood Serotonergic Function Protects against Adolescent Aggression in Disruptive Boys

ERIC Educational Resources Information Center

Halperin, Jeffrey M.; Kalmar, Jessica H.; Schulz, Kurt P.; Marks, David J.; Sharma, Vanshdeep; Newcorn, Jeffrey H.

2006-01-01

Objective: This longitudinal study examined whether responsiveness of the neurotransmitter serotonin (5-HT) in childhood predicts adolescent aggression. Method: Boys (N = 33) with disruptive behavior disorders who received assessments of central 5-HT function via the prolactin response to fenfluramine between 1990 and 1994 when they were 7 to 11…

The course of early disinhibited social engagement among post-institutionalized adopted children

PubMed Central

Lawler, Jamie M.; Koss, Kalsea J.; Doyle, Colleen M.; Gunnar, Megan R.

2016-01-01

Background Approximately 20% of post-institutionalized (PI) children exhibit disinhibited social engagement (DSE) or the propensity to approach and engage strangers. There is little longitudinal research examining changes in DSE after adoption, or methods of identifying children with persistent behaviors. Methods DSE was assessed observationally four times during the first two years post-adoption in PI children 16-36 months at adoption (n=68) relative to same-age non-adopted children (n=52). At age 5, a validated interview determined which PI children met criteria for Disinhibited Social Engagement Disorder (DSED). Results DSE trajectories initially increased and then stabilized. PIs had higher DSE levels initially and a steeper increase rate than NAs. When separated into physical and non-physical DSE components, group differences arose in initial physical DSE and the rate of change of non-physical DSE. DSE rate of increase predicted DSED diagnosis, as did longer institutional duration and poorer institutional care. Conclusions The rate of increase in DSE post-adoption, rather than the level observed at adoption, is predictive of disordered social engagement by age 5 years. PMID:27460336

The role of hypoxia in oral cancer and potentially malignant disorders: a review.

PubMed

Kujan, Omar; Shearston, Kate; Farah, Camile S

2017-04-01

Oral and oropharyngeal cancer are major health problems globally with over 500 000 new cases diagnosed annually. Despite the fact that oral cancer is a preventable disease and has the potential for early detection, the overall survival rate remains at around 50%. Most oral cancer cases are preceded by a group of clinical lesions designated 'potentially malignant disorders'. It is difficult to predict if and when these lesions may transform to malignancy, and in turn it is difficult to agree on appropriate management strategies. Understanding underlying molecular pathways would help in predicting the malignant transformation of oral potentially malignant disorders and ultimately identifying effective methods for early detection and prevention of oral cancer. Reprogramming energy metabolism is an emerging hallmark of cancer that is predominantly controlled by hypoxia-induced genes regulating angiogenesis, tumour vascularization, invasion, drug resistance and metastasis. This review aims to highlight the role of hypoxia in oral carcinogenesis and to suggest future research implications in this arena. © 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Predictive Utility of Personality Disorder in Depression: Comparison of Outcomes and Taxonomic Approach.

PubMed

Newton-Howes, Giles; Mulder, Roger; Ellis, Pete M; Boden, Joseph M; Joyce, Peter

2017-09-19

There is debate around the best model for diagnosing personality disorder, both in terms of its relationship to the empirical data and clinical utility. Four randomized controlled trials examining various treatments for depression were analyzed at an individual patient level. Three different approaches to the diagnosis of personality disorder were analyzed in these patients. A total of 578 depressed patients were included in the analysis. Personality disorder, however measured, was of little predictive utility in the short term but added significantly to predictive modelling of medium-term outcomes, accounting for more than twice as much of the variance in social functioning outcome as depression psychopathology. Personality disorder assessment is of predictive utility with longer timeframes and when considering social outcomes as opposed to symptom counts. This utility is sufficiently great that there appears to be value in assessing personality; however, no particular approach outperforms any other.

Identifying Childhood Characteristics that Underlie Pre-Morbid Risk for Substance Use Disorders: Socialization and Boldness

PubMed Central

Hicks, Brian M.; Iacono, William G.; McGue, Matt

2013-01-01

Utilizing a longitudinal twin study (N = 2510), we identified the child characteristics present prior to initiation of substance use that best predicted later substance use disorders. Two independent traits accounted for the majority of pre-morbid risk: socialization (conformity to rules and conventional values) and boldness (sociability and social assurance, stress resilience, and thrill seeking). Low socialization was associated with disruptive behavior disorders, parental externalizing disorders, and environmental adversity, and exhibited moderate genetic (.45) and shared environmental influences (.30). Boldness was highly heritable (.71) and associated with less internalizing distress and environmental adversity. Together, these traits exhibited robust associations with adolescent and young adult substance use disorders (R = .48 and .50, respectively), and incremental prediction over disruptive behavior disorders, parental externalizing disorders, and environmental adversity. Results were replicated in an independent sample. Socialization and boldness offer a novel conceptualization of underlying risk for substance use disorders that has the potential to improve prediction and theory with implications for basic research, prevention, and intervention. PMID:24280373

Identifying childhood characteristics that underlie premorbid risk for substance use disorders: socialization and boldness.

PubMed

Hicks, Brian M; Iacono, William G; McGue, Matt

2014-02-01

We utilized a longitudinal twin study (N = 2,510) to identify the child characteristics present prior to initiation of substance use that best predicted later substance use disorders. Two independent traits accounted for the majority of premorbid risk: socialization (conformity to rules and conventional values) and boldness (sociability and social assurance, stress resilience, and thrill seeking). Low socialization was associated with disruptive behavior disorders, parental externalizing disorders, and environmental adversity and exhibited moderate genetic (0.45) and shared environmental influences (0.30). Boldness was highly heritable (0.71) and associated with less internalizing distress and environmental adversity. In combination, these traits exhibited robust associations with adolescent and young adult substance use disorders (R = .48 and .50, respectively) and incremental prediction over disruptive behavior disorders, parental externalizing disorders, and environmental adversity. The results were replicated in an independent sample. Socialization and boldness offer a novel conceptualization of underlying risk for substance use disorders that has the potential to improve prediction and theory with implications for basic research, prevention, and intervention.

Predictors of First-Onset Substance Use Disorders During the Prospective Course of Bipolar Spectrum Disorders in Adolescents

PubMed Central

Goldstein, Benjamin I.; Strober, Michael; Axelson, David; Goldstein, Tina R.; Gill, Mary Kay; Hower, Heather; Dickstein, Daniel; Hunt, Jeffrey; Yen, Shirley; Kim, Eunice; Ha, Wonho; Liao, Fangzi; Fan, Jieyu; Iyengar, Satish; Ryan, Neal D.; Keller, Martin B.; Birmaher, Boris

2013-01-01

Objective Substance use disorders (SUD) are common and problematic in bipolar disorder (BP). We prospectively examined predictors of first-onset SUD among adolescents with BP. Method Adolescents (12–17 years old; N=167) in the Course and Outcome of Bipolar Youth (COBY) study fulfilling criteria for BP-I, BP-II, or operationalized BP not otherwise specified, without SUD at intake, were included. Baseline demographic, clinical, and family history variables, and clinical variables assessed during follow-up, were examined in relation to first-onset SUD. Participants were prospectively interviewed every 38.5±22.2 weeks for an average of 4.25±2.11 years. Results First-onset SUD developed among 32% of subjects, after a mean of 2.7±2.0 years from intake. Lifetime alcohol experimentation at intake most robustly predicted first-onset SUD. Lifetime oppositional defiant disorder and panic disorder, family history of SUD, low family cohesiveness, and absence of antidepressant treatment at intake were also associated with increased risk of SUD, whereas BP subtype was not. Risk of SUD increased with increasing number of these six predictors: 54.7% of subjects with ≥3 predictors developed SUD vs. 14.1% of those with <3 predictors (Hazard Ratio 5.41 95% CI 2.7–11.0 p<0.0001). Greater hypo/manic symptom severity in the preceding 12 weeks predicted greater likelihood of SUD onset. Lithium exposure in the preceding 12 weeks predicted lower likelihood of SUD. Conclusions This study identifies several predictors of first-onset SUD in the COBY sample which, if replicated, may suggest targets of preventive interventions for SUD among youth with BP. Treatment-related findings are inconclusive and must be interpreted tentatively given the limitations of observational naturalistic treatment data. There is a substantial window of opportunity between BP and SUD onset during which preventive strategies may be employed. PMID:24074469

Pattern recognition and functional neuroimaging help to discriminate healthy adolescents at risk for mood disorders from low risk adolescents.

PubMed

Mourão-Miranda, Janaina; Oliveira, Leticia; Ladouceur, Cecile D; Marquand, Andre; Brammer, Michael; Birmaher, Boris; Axelson, David; Phillips, Mary L

2012-01-01

There are no known biological measures that accurately predict future development of psychiatric disorders in individual at-risk adolescents. We investigated whether machine learning and fMRI could help to: 1. differentiate healthy adolescents genetically at-risk for bipolar disorder and other Axis I psychiatric disorders from healthy adolescents at low risk of developing these disorders; 2. identify those healthy genetically at-risk adolescents who were most likely to develop future Axis I disorders. 16 healthy offspring genetically at risk for bipolar disorder and other Axis I disorders by virtue of having a parent with bipolar disorder and 16 healthy, age- and gender-matched low-risk offspring of healthy parents with no history of psychiatric disorders (12-17 year-olds) performed two emotional face gender-labeling tasks (happy/neutral; fearful/neutral) during fMRI. We used Gaussian Process Classifiers (GPC), a machine learning approach that assigns a predictive probability of group membership to an individual person, to differentiate groups and to identify those at-risk adolescents most likely to develop future Axis I disorders. Using GPC, activity to neutral faces presented during the happy experiment accurately and significantly differentiated groups, achieving 75% accuracy (sensitivity = 75%, specificity = 75%). Furthermore, predictive probabilities were significantly higher for those at-risk adolescents who subsequently developed an Axis I disorder than for those at-risk adolescents remaining healthy at follow-up. We show that a combination of two promising techniques, machine learning and neuroimaging, not only discriminates healthy low-risk from healthy adolescents genetically at-risk for Axis I disorders, but may ultimately help to predict which at-risk adolescents subsequently develop these disorders.

A diagnosis of bipolar spectrum disorder predicts diagnostic conversion from unipolar depression to bipolar disorder: a 5-year retrospective study.

PubMed

Woo, Young Sup; Shim, In Hee; Wang, Hee-Ryung; Song, Hoo Rim; Jun, Tae-Youn; Bahk, Won-Myong

2015-03-15

The major aims of this study were to identify factors that may predict the diagnostic conversion from major depressive disorder (MDD) to bipolar disorder (BP) and to evaluate the predictive performance of the bipolar spectrum disorder (BPSD) diagnostic criteria. The medical records of 250 patients with a diagnosis of MDD for at least 5 years were retrospectively reviewed for this study. The diagnostic conversion from MDD to BP was observed in 18.4% of 250 MDD patients, and the diagnostic criteria for BPSD predicted this conversion with high sensitivity (0.870) and specificity (0.917). A family history of BP, antidepressant-induced mania/hypomania, brief major depressive episodes, early age of onset, antidepressant wear-off, and antidepressant resistance were also independent predictors of this conversion. This study was conducted using a retrospective design and did not include structured diagnostic interviews. The diagnostic criteria for BPSD were highly predictive of the conversion from MDD to BP, and conversion was associated with several clinical features of BPSD. Thus, the BPSD diagnostic criteria may be useful for the prediction of bipolar diathesis in MDD patients. Copyright © 2014 Elsevier B.V. All rights reserved.

Can personality traits predict increases in manic and depressive symptoms?

PubMed Central

Lozano, Brian E.; Johnson, Sheri L.

2010-01-01

Background There has been limited research investigating personality traits as predictors of manic and depressive symptoms in bipolar individuals. The present study investigated the relation between personality traits and the course of bipolar disorder. The purpose of this study was to identify specific personality traits that predict the course of manic and depressive symptoms experienced by bipolar individuals. Methods The sample consisted of 39 participants with bipolar I disorder assessed by the Structured Clinical Interview for DSM-IV. Personality was assessed using the NEO Five-Factor Inventory. The Modified Hamilton Rating Scale for Depression and the Bech–Rafaelsen Mania Rating Scale were used to assess symptom severity on a monthly basis. Results Consistent with previous research on unipolar depression, high Neuroticism predicted increases in depressive symptoms across time while controlling for baseline symptoms. Additionally, high Conscientiousness, particularly the Achievement Striving facet, predicted increases in manic symptoms across time. Limitations The current study was limited by the small number of participants, the reliance on a shortened version of a self-report personality measure, and the potential state-dependency of the personality measures. Conclusions Specific personality traits may assist in predicting bipolar symptoms across time. Further studies are needed to tease apart the state-dependency of personality. PMID:11246086

Younger age, female sex, and high number of awakenings and arousals predict fatigue in patients with sleep disorders: a retrospective polysomnographic observational study

PubMed Central

Veauthier, Christian

2013-01-01

Background The Fatigue Severity Scale (FSS) is widely used to assess fatigue, not only in the context of multiple sclerosis-related fatigue, but also in many other medical conditions. Some polysomnographic studies have shown high FSS values in sleep-disordered patients without multiple sclerosis. The Modified Fatigue Impact Scale (MFIS) has increasingly been used in order to assess fatigue, but polysomnographic data investigating sleep-disordered patients are thus far unavailable. Moreover, the pathophysiological link between sleep architecture and fatigue measured with the MFIS and the FSS has not been previously investigated. Methods This was a retrospective observational study (n = 410) with subgroups classified according to sleep diagnosis. The statistical analysis included nonparametric correlation between questionnaire results and polysomnographic data, age and sex, and univariate and multiple logistic regression. Results The multiple logistic regression showed a significant relationship between FSS/MFIS values and younger age and female sex. Moreover, there was a significant relationship between FSS values and number of arousals and between MFIS values and number of awakenings. Conclusion Younger age, female sex, and high number of awakenings and arousals are predictive of fatigue in sleep-disordered patients. Further investigations are needed to find the pathophysiological explanation for these relationships. PMID:24109185

Evidence for a Heritable Brain Basis to Deviance-Promoting Deficits in Self-Control

PubMed Central

Yancey, James R.; Venables, Noah C.; Hicks, Brian M.; Patrick, Christopher J.

2013-01-01

Purpose Classic criminological theories emphasize the role of impaired self-control in behavioral deviancy. Reduced amplitude of the P300 brain response is reliably observed in individuals with antisocial and substance-related problems, suggesting it may serve as a neurophysiological indicator of deficiencies in self-control that confer liability to deviancy. Methods The current study evaluated the role of self-control capacity — operationalized by scores on a scale measure of trait disinhibition — in mediating the relationship between P300 brain response and behavioral deviancy in a sample of adult twins (N=419) assessed for symptoms of antisocial/addictive disorders and P300 brain response. Results As predicted, greater disorder symptoms and higher trait disinhibition scores each predicted smaller P300 amplitude, and trait disinhibition mediated observed relations between antisocial/addictive disorders and P300 response. Further, twin modeling analyses revealed that trait disinhibition scores and disorder symptoms reflected a common genetic liability, and this genetic liability largely accounted for the observed phenotypic relationship between antisocial-addictive problems and P300 brain response. Conclusions These results provide further evidence that heritable weaknesses in self-control capacity confer liability to antisocial/addictive outcomes and that P300 brain response indexes this dispositional liability. PMID:24187392

EEG Analytics for Early Detection of Autism Spectrum Disorder: A data-driven approach.

PubMed

Bosl, William J; Tager-Flusberg, Helen; Nelson, Charles A

2018-05-01

Autism spectrum disorder (ASD) is a complex and heterogeneous disorder, diagnosed on the basis of behavioral symptoms during the second year of life or later. Finding scalable biomarkers for early detection is challenging because of the variability in presentation of the disorder and the need for simple measurements that could be implemented routinely during well-baby checkups. EEG is a relatively easy-to-use, low cost brain measurement tool that is being increasingly explored as a potential clinical tool for monitoring atypical brain development. EEG measurements were collected from 99 infants with an older sibling diagnosed with ASD, and 89 low risk controls, beginning at 3 months of age and continuing until 36 months of age. Nonlinear features were computed from EEG signals and used as input to statistical learning methods. Prediction of the clinical diagnostic outcome of ASD or not ASD was highly accurate when using EEG measurements from as early as 3 months of age. Specificity, sensitivity and PPV were high, exceeding 95% at some ages. Prediction of ADOS calibrated severity scores for all infants in the study using only EEG data taken as early as 3 months of age was strongly correlated with the actual measured scores. This suggests that useful digital biomarkers might be extracted from EEG measurements.

A morphometric signature of depressive symptoms in unmedicated patients with mood disorders.

PubMed

Wise, T; Marwood, L; Perkins, A M; Herane-Vives, A; Williams, S C R; Young, A H; Cleare, A J; Arnone, D

2018-04-22

A growing literature indicates that unipolar depression and bipolar depression are associated with alterations in grey matter volume. However, it is unclear to what degree these patterns of morphometric change reflect symptom dimensions. Here, we aimed to predict depressive symptoms and hypomanic symptoms based on patterns of grey matter volume using machine learning. We used machine learning methods combined with voxel-based morphometry to predict depressive and self-reported hypomanic symptoms from grey matter volume in a sample of 47 individuals with unmedicated unipolar and bipolar depression. We were able to predict depressive severity from grey matter volume in the anteroventral bilateral insula in both unipolar depression and bipolar depression. Self-reported hypomanic symptoms did not predict grey matter loss with a significant degree of accuracy. The results of this study suggest that patterns of grey matter volume alteration in the insula are associated with depressive symptom severity across unipolar and bipolar depression. Studies using other modalities and exploring other brain regions with a larger sample are warranted to identify other systems that may be associated with depressive and hypomanic symptoms across affective disorders. © 2018 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Pupillary reactivity to negative stimuli prospectively predicts recurrence of major depressive disorder in women.

PubMed

Kudinova, Anastacia Y; Burkhouse, Katie L; Siegle, Greg; Owens, Max; Woody, Mary L; Gibb, Brandon E

2016-12-01

There is a large body of research supporting the association between disrupted physiological reactivity to negative stimuli and depression. The present study aimed to examine whether physiological reactivity to emotional stimuli, assessed via pupil dilation, served as a biological marker of risk for depression recurrence among individuals who are known to be at a higher risk due to having previous history of depression. Participants were 57 women with a history of major depressive disorder (MDD). Pupil dilation to angry, happy, sad, and neutral faces was recorded. Participants' diagnoses and symptoms were assessed 24 months after the initial assessment. We found that women's pupillary reactivity to negative (sad or angry faces) but not positive stimuli prospectively predicted MDD recurrence. Additionally, we found that both hyper- and hypopupillary reactivity to angry faces predicted risk for MDD recurrence. These findings suggest that disrupted physiological response to negative stimuli indexed via pupillary dilation could serve as a physiological marker of MDD risk, thus presenting clinicians with a convenient and inexpensive method to predict which of the at-risk women are more likely to experience depression recurrence. © 2016 Society for Psychophysiological Research.

Preschool Predictors of School-Age Academic Achievement in Autism Spectrum Disorder

PubMed Central

Miller, Lauren E.; Burke, Jeffrey D.; Troyb, Eva; Knoch, Kelley; Herlihy, Lauren E.; Fein, Deborah A.

2017-01-01

Objective Characterization of academic functioning in children with autism spectrum disorder (ASD), particularly predictors of achievement, may have important implications for intervention. The current study aimed to characterize achievement profiles, confirm associations between academic ability and concurrent intellectual and social skills, and explore preschool predictors of school-age academic achievement in a sample of children with ASD. Method Children with ASD (N = 26) were evaluated at the approximate ages of two, four, and ten years. Multiple regression was used to predict school-age academic achievement in reading and mathematics from both concurrent (i.e., school-age) and preschool variables. Results Children with ASD demonstrated a weakness in reading comprehension relative to word reading. There was a smaller difference between mathematics skills; math reasoning was lower than numerical operations, but this did not quite reach trend level significance. Concurrent IQ and social skills were associated with school-age academic achievement across domains. Preschool verbal abilities significantly predicted school-age reading comprehension, above and beyond concurrent IQ, and early motor functioning predicted later math skills. Conclusions Specific developmental features of early ASD predict specific aspects of school-age achievement. Early intervention targeting language and motor skills may improve later achievement in this population. PMID:27705180

Subthreshold Symptoms of Depression in Preadolescent Girls Are Stable and Predictive of Depressive Disorders

ERIC Educational Resources Information Center

Keenan, Kate; Hipwell, Alsion; Feng, Xin; Babinski, Dara; Hinze, Amanda; Rischall, Michal; Henneberger, Angela

2008-01-01

Symptoms of depression are investigated among 232 preadolescent girls to study if they were predictive and stable of depression. Findings show that early symptoms of depression among preadolescent girls predict depressive disorders. Implications for preventive measures are discussed.

Symptoms of prolonged grief and posttraumatic stress following loss: A latent class analysis.

PubMed

Maccallum, Fiona; Bryant, Richard A

2018-04-01

Individuals vary in how they respond to bereavement. Those who experience poor bereavement outcomes often report symptoms from more than one diagnostic category. This study sought to identify groups of individuals who share similar patterns of prolonged grief disorder and posttraumatic stress disorder symptoms to determine whether these profiles are differentially related to negative appraisals thought to contribute to prolonged grief disorder and posttraumatic stress disorder symptomatology. Participants were 185 bereaved adults. Latent class analysis was used to identify subgroups of individuals who showed similar patterns of co-occurrence of prolonged grief disorder and posttraumatic stress disorder symptoms. Multinomial regression was used to examine the extent to which appraisal domains and sociodemographic and loss factors predicted class membership. Latent class analysis revealed three classes of participants: a low symptom group, a high prolonged grief disorder symptom group, and a high prolonged grief disorder and posttraumatic stress disorder symptom group. Membership of the prolonged grief disorder group and prolonged grief disorder and posttraumatic stress disorder group was predicted by higher mean negative self-related appraisals. Demographic and loss-related factors did not predict group membership. These findings have implications for understanding co-occurrence of prolonged grief disorder and posttraumatic stress disorder symptoms following bereavement. Findings are consistent with theoretical models highlighting the importance of negative self-related beliefs in prolonged grief disorder.

Relationship between Chinese adjective descriptors of personality and emotional symptoms in young Chinese patients with bipolar disorders.

PubMed

Yu, Enyan; Li, Huihui; Fan, Hongying; Gao, Qianqian; Tan, Yunfei; Lou, Junyao; Zhang, Jie; Wang, Wei

2015-12-01

To investigate whether personality traits are related to emotional symptoms (mania, hypomania, and depression) in Chinese patients with bipolar disorders. Patients with bipolar I and II disorders, and healthy volunteers, were assessed using the Chinese Adjective Descriptors of Personality (CADP) questionnaire, Mood Disorder Questionnaire (MDQ), Hypomanic Checklist (HCL-32), and Plutchik-van Praag Depression Inventory (PVP). Seventy-three patients with bipolar I disorder, 35 with bipolar II disorder and 216 healthy controls were included. Bipolar I and II groups scored significantly higher on MDQ, HCL-32 and PVP scales than controls; the bipolar II group scored lower on the MDQ, but higher on the HCL-32 and PVP than bipolar I. In the bipolar I group, the CADP Intelligent trait (β, 0.25) predicted MDQ; Intelligent (β, -0.24), Agreeable (β, 0.22) and Emotional (β, 0.34) traits predicted PVP. In the bipolar II group, Intelligent (β, 0.22), Agreeable (β, -0.24) and Unsocial (β, 0.31) traits predicted MDQ; Intelligent (β, -0.20), Agreeable (β, -0.31) and Emotional (β, -0.26) traits predicted HCL-32. Four out of five Chinese personality traits were associated with emotional symptoms in patients with bipolar I or II disorder, but displayed different associations depending on disorder type. © The Author(s) 2015.

Relationship of drug-addicted patients' personality disorders to social problem-solving changes during the rehabilitation process.

PubMed

Kolesnikova, Jelena; Miezitis, Solveiga; Osis, Guntars

2013-08-01

Drug-addicted patients exhibit various personality disorders that interfere with their adaptation to society, as well as their ability to participate in the rehabilitation process. The Latvian Rehabilitation Programme for drug addicts includes social problem-solving training to help patients reintegrate into society. However, the role of personality disorders has not been investigated in relation to this process. The aim of the study is to assess whether personality disorders predict changes in dimensions of social problem-solving after 6 months of rehabilitation for drug-addicted patients. The sample of this study consists of 31 drug-addicted patients from the Latvian rehabilitation centres aged 21-35 (females 21%, males 79%). Two inventories are used: the Social Problem-Solving Inventory--Revised (SPSI-R) and Millon(TM) Clinical Multiaxial Inventory--III (MCMI-III) adapted into Russian. Results of the study indicated that some MCMI-III personality disorders (Schizoid and Histrionic) negatively predicted SPSI-R Positive problem orientation, and narcissistic disorder positively predicted SPSI-R Avoidance style after 6 months in the Latvian Rehabilitation Programme. The other personality disorders did not predict social problem-solving dimensions. The results of the study suggest that some personality disorders are related to changes in social problem-solving dimensions for drug-addicted patients. Hence, it is important to consider the implications of particular personality disorders to facilitate the implementation of social problem-solving rehabilitation programmes.

A multinational study of mental disorders, marriage, and divorce

PubMed Central

Breslau, J.; Miller, E.; Jin, R.; Sampson, N. A.; Alonso, J.; Andrade, L. H.; Bromet, E. J.; de Girolamo, G.; Demyttenaere, K.; Fayyad, J.; Fukao, A.; Gălăon, M.; Gureje, O.; He, Y.; Hinkov, H. R.; Hu, C.; Kovess-Masfety, V.; Matschinger, H.; Medina-Mora, M. E.; Ormel, J.; Posada-Villa, J.; Sagar, R.; Scott, K. M.; Kessler, R. C.

2014-01-01

Objective Estimate predictive associations of mental disorders with marriage and divorce in a cross-national sample. Method Population surveys of mental disorders included assessment of age at first marriage in 19 countries (n = 46 128) and age at first divorce in a subset of 12 countries (n = 30 729). Associations between mental disorders and subsequent marriage and divorce were estimated in discrete time survival models. Results Fourteen of 18 premarital mental disorders are associated with lower likelihood of ever marrying (odds ratios ranging from 0.6 to 0.9), but these associations vary across ages of marriage. Associations between premarital mental disorders and marriage are generally null for early marriage (age 17 or younger), but negative associations come to predominate at later ages. All 18 mental disorders are positively associated with divorce (odds ratios ranging from 1.2 to 1.8). Three disorders, specific phobia, major depression, and alcohol abuse, are associated with the largest population attributable risk proportions for both marriage and divorce. Conclusion This evidence adds to research demonstrating adverse effects of mental disorders on life course altering events across a diverse range of socioeconomic and cultural settings. These effects should be included in considerations of public health investments in preventing and treating mental disorders. PMID:21534936

Adolescent Eating Disorders Predict Psychiatric, High-Risk Behaviors and Weight Outcomes in Young Adulthood.

PubMed

Micali, Nadia; Solmi, Francesca; Horton, Nicholas J; Crosby, Ross D; Eddy, Kamryn T; Calzo, Jerel P; Sonneville, Kendrin R; Swanson, Sonja A; Field, Alison E

2015-08-01

To investigate whether anorexia nervosa (AN), bulimia nervosa (BN), binge eating disorder (BED), and other specified feeding and eating disorders (OSFED), including purging disorder (PD), subthreshold BN, and BED at ages 14 and 16 years, are prospectively associated with later depression, anxiety disorders, alcohol and substance use, and self-harm. Eating disorders were ascertained at ages 14 and 16 years in 6,140 youth at age 14 (58% of those eligible) and 5,069 at age 16 (52% of those eligible) as part of the prospective Avon Longitudinal Study of Parents and Children (ALSPAC). Outcomes (depression, anxiety disorders, binge drinking, drug use, deliberate self-harm, weight status) were measured using interviews and questionnaires about 2 years after predictors. Generalized estimating equation models adjusting for gender, socio-demographic variables, and prior outcome were used to examine prospective associations between eating disorders and each outcome. All eating disorders were predictive of later anxiety disorders. AN, BN, BED, PD, and OSFED were prospectively associated with depression (respectively AN: odds ratio [OR] = 1.39, 95% CI = 1.00-1.94; BN: OR = 3.39, 95% CI = 1.25-9.20; BED: OR = 2.00, 95% CI = 1.06-3.75; and PD: OR = 2.56, 95% CI = 1.38-4.74). All eating disorders but AN predicted drug use and deliberate self-harm (BN: OR = 5.72, 95% CI = 2.22-14.72; PD: OR = 4.88, 95% CI = 2.78-8.57; subthreshold BN: OR = 3.97, 95% CI = 1.44-10.98; and subthreshold BED: OR = 2.32, 95% CI = 1.43-3.75). Although BED and BN predicted obesity (respectively OR = 3.58, 95% CI = 1.06-12.14 and OR = 6.42, 95% CI = 1.69-24.30), AN was prospectively associated with underweight. Adolescent eating disorders, including subthreshold presentations, predict negative outcomes, including mental health disorders, substance use, deliberate self-harm, and weight outcomes. This study highlights the high public health and clinical burden of eating disorders among adolescents. Copyright © 2015 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Specific phobia predicts psychopathology in young women

PubMed Central

Margraf, Jürgen; Vriends, Noortje; Meyer, Andrea H.; Becker, Eni S.

2009-01-01

Background Although specific phobia is characterized by an early age at onset and by high rates of comorbidity, few studies have examined comorbid relationships prospectively. Objectives The present study investigated the association between specific phobia and the risk of a broad range of psychopathology among young women in the community. Method Data came from the Dresden Predictor Study in which 1,538 German women (18–25 years) completed a diagnostic interview at two time points. Results Women with specific phobia had a twofold increase in odds of developing any anxiety disorder, generalized anxiety disorder, depression, and any somatoform disorder during 17 months, compared to women without specific phobia. Except for depression, these associations persisted after adjustment for all comorbid mental disorders. Conclusions Specific phobia thus appears to be a risk factor for a variety of problems. The result further underpins the necessity for early intervention for specific phobia to prevent later mental health problems. PMID:19888542

Clinical and Serological Predictors of Suicide in Schizophrenia and Major Mood Disorders.

PubMed

Dickerson, Faith; Origoni, Andrea; Schweinfurth, Lucy A B; Stallings, Cassie; Savage, Christina L G; Sweeney, Kevin; Katsafanas, Emily; Wilcox, Holly C; Khushalani, Sunil; Yolken, Robert

2018-03-01

Persons with serious mental illness are at high risk for suicide, but this outcome is difficult to predict. Serological markers may help to identify suicide risk. We prospectively assessed 733 persons with a schizophrenia spectrum disorder, 483 with bipolar disorder, and 76 with major depressive disorder for an average of 8.15 years. The initial evaluation consisted of clinical and demographic data as well as a blood samples from which immunoglobulin G antibodies to herpes viruses and Toxoplasma gondii were measured. Suicide was determined using data from the National Death Index. Cox proportional hazard regression models examined the role of baseline variables on suicide outcomes. Suicide was associated with male sex, divorced/separated status, Caucasian race, and elevated levels of antibodies to Cytomegalovirus (CMV). Increasing levels of CMV antibodies were associated with increasing hazard ratios for suicide. The identification of serological variables associated with suicide might provide more personalized methods for suicide prevention.

Mentally disordered women in jail: who receives services?

PubMed Central

Teplin, L A; Abram, K M; McClelland, G M

1997-01-01

OBJECTIVES: Many jail inmates have severe psychiatric disorders (e.g., schizophrenia, major affective disorders). The courts have mandated that detainees have a constitutional right to treatment. We investigated what proportion of female jail detainees needed mental health services, what proportion received services, and what variables predicted who received services. METHODS: Trained interviewers administered a psychiatric evaluation (the NIMH Diagnostic Interview Schedule) to 1272 randomly selected female jail detainees during jail intake in a large Midwestern city. Project staff then documented whether women subsequently received services, using records and case files. RESULTS: Of the women who needed services, 23.5% received them while they were in jail. Type of disorder, treatment history, and socio-demographic variables all affected the odds of a mentally ill woman's receiving services. CONCLUSIONS: Correctional health care is a growing national public health problem. The magnitude of mental health service needs far exceeds current resources. PMID:9146439

Therapygenetics: Using genetic markers to predict response to psychological treatment for mood and anxiety disorders

PubMed Central

2013-01-01

Considerable variation is evident in response to psychological therapies for mood and anxiety disorders. Genetic factors alongside environmental variables and gene-environment interactions are implicated in the etiology of these disorders and it is plausible that these same factors may also be important in predicting individual differences in response to psychological treatment. In this article, we review the evidence that genetic variation influences psychological treatment outcomes with a primary focus on mood and anxiety disorders. Unlike most past work, which has considered prediction of response to pharmacotherapy, this article reviews recent work in the field of therapygenetics, namely the role of genes in predicting psychological treatment response. As this is a field in its infancy, methodological recommendations are made and opportunities for future research are identified. PMID:23388219

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

Gorai, Prashun; Toberer, Eric S.; Stevanović, Vladan

Here, at room temperature and above, most magnetic materials adopt a spin-disordered (paramagnetic) state whose electronic properties can differ significantly from their low-temperature, spin-ordered counterparts. Yet computational searches for new functional materials usually assume some type of magnetic order. In the present work, we demonstrate a methodology to incorporate spin disorder in computational searches and predict the electronic properties of the paramagnetic phase. We implement this method in a high-throughput framework to assess the potential for thermoelectric performance of 1350 transition-metal sulfides and find that all magnetic systems we identify as promising in the spin-ordered ground state cease to bemore » promising in the paramagnetic phase due to disorder-induced deterioration of the charge carrier transport properties. We also identify promising non-magnetic candidates that do not suffer from these spin disorder effects. In addition to identifying promising materials, our results offer insights into the apparent scarcity of magnetic systems among known thermoelectrics and highlight the importance of including spin disorder in computational searches.« less

Internet-based motivation program for women with eating disorders: eating disorder pathology and depressive mood predict dropout.

PubMed

von Brachel, Ruth; Hötzel, Katrin; Hirschfeld, Gerrit; Rieger, Elizabeth; Schmidt, Ulrike; Kosfelder, Joachim; Hechler, Tanja; Schulte, Dietmar; Vocks, Silja

2014-03-31

One of the main problems of Internet-delivered interventions for a range of disorders is the high dropout rate, yet little is known about the factors associated with this. We recently developed and tested a Web-based 6-session program to enhance motivation to change for women with anorexia nervosa, bulimia nervosa, or related subthreshold eating pathology. The aim of the present study was to identify predictors of dropout from this Web program. A total of 179 women took part in the study. We used survival analyses (Cox regression) to investigate the predictive effect of eating disorder pathology (assessed by the Eating Disorders Examination-Questionnaire; EDE-Q), depressive mood (Hopkins Symptom Checklist), motivation to change (University of Rhode Island Change Assessment Scale; URICA), and participants' age at dropout. To identify predictors, we used the least absolute shrinkage and selection operator (LASSO) method. The dropout rate was 50.8% (91/179) and was equally distributed across the 6 treatment sessions. The LASSO analysis revealed that higher scores on the Shape Concerns subscale of the EDE-Q, a higher frequency of binge eating episodes and vomiting, as well as higher depression scores significantly increased the probability of dropout. However, we did not find any effect of the URICA or age on dropout. Women with more severe eating disorder pathology and depressive mood had a higher likelihood of dropping out from a Web-based motivational enhancement program. Interventions such as ours need to address the specific needs of women with more severe eating disorder pathology and depressive mood and offer them additional support to prevent them from prematurely discontinuing treatment.

Threat Related Selective Attention Predicts Treatment Success in Childhood Anxiety Disorders

ERIC Educational Resources Information Center

Legerstee, Jeroen S.; Tulen, Joke H. M.; Kallen, Victor L.; Dieleman, Gwen C.; Treffers, Philip D. A.; Verhulst, Frank C.; Utens, Elisabeth M. W. J.

2009-01-01

Threat-related selective attention was found to predict the success of the treatment of childhood anxiety disorders through administering a pictorial dot-probe task to 131 children with anxiety disorders prior to cognitive behavioral therapy. The diagnostic status of the subjects was evaluated with a semistructured clinical interview at both pre-…

Validation Study of a Predictive Algorithm to Evaluate Opioid Use Disorder in a Primary Care Setting

PubMed Central

Sharma, Maneesh; Lee, Chee; Kantorovich, Svetlana; Tedtaotao, Maria; Smith, Gregory A.

2017-01-01

Background: Opioid abuse in chronic pain patients is a major public health issue. Primary care providers are frequently the first to prescribe opioids to patients suffering from pain, yet do not always have the time or resources to adequately evaluate the risk of opioid use disorder (OUD). Purpose: This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm (“profile”) incorporating phenotypic and, more uniquely, genotypic risk factors. Methods and Results: In a validation study with 452 participants diagnosed with OUD and 1237 controls, the algorithm successfully categorized patients at high and moderate risk of OUD with 91.8% sensitivity. Regardless of changes in the prevalence of OUD, sensitivity of the algorithm remained >90%. Conclusion: The algorithm correctly stratifies primary care patients into low-, moderate-, and high-risk categories to appropriately identify patients in need for additional guidance, monitoring, or treatment changes. PMID:28890908

Childhood Anxiety Trajectories and Adolescent Disordered Eating: Findings from the NICHD Study of Early Child Care and Youth Development

PubMed Central

Zerwas, Stephanie; Von Holle, Ann; Watson, Hunna; Gottfredson, Nisha; Bulik, Cynthia M.

2015-01-01

Objective The goal of the present paper was to examine whether childhood anxiety trajectories predict eating psychopathology. We predicted that girls with trajectories of increasing anxiety across childhood would have significantly greater risk of disordered eating in adolescence in comparison to girls with stable or decreasing trajectories of anxiety over childhood. Method Data were collected as part of the prospective longitudinal NICHD Study of Early Child Care and Youth Development (N=450 girls). Childhood anxiety was assessed yearly (54 months through 6th grade) via maternal report on the Child Behavior Checklist. Disordered eating behaviors were assessed at age 15 via adolescent self-report on the Eating Attitudes Test (EAT-26). We conducted latent growth mixture modeling to define girls’ childhood anxiety trajectories. Maternal sensitivity, maternal postpartum depression, maternal anxiety, and child temperament were included as predictors of trajectory membership. Results The best fitting model included three trajectories of childhood anxiety, the low-decreasing class (22.9% of girls), the high-increasing class (35.4%), and the high-decreasing class (41.6%). Mothers with more symptoms of depression and separation anxiety had girls who were significantly more likely to belong to the high-increasing anxiety trajectory. There were no significant differences in adolescent disordered eating for girls across the three childhood anxiety trajectories. Conclusions Childhood anxiety, as captured by maternal report, may not be the most robust predictor of adolescent disordered eating and may be of limited utility for prevention programs that aim to identify children in the community at greatest risk for disordered eating. PMID:24938214

Child maltreatment increases sensitivity to adverse social contexts: Neighborhood physical disorder and incident binge drinking in Detroit

PubMed Central

Keyes, Katherine M.; McLaughlin, Katie A.; Koenen, Karestan C.; Goldmann, Emily; Uddin, Monica; Galea, Sandro

2011-01-01

INTRODUCTION Exposure to child maltreatment is associated with elevated risk for behavioral disorders in adulthood. One explanation for this life-course association is that child maltreatment increases vulnerability to the effects of subsequent stressors; however, the extent to which maltreatment increases sensitivity to social context has never been examined. We evaluated whether the association between neighborhood physical disorder and binge drinking was modified by child maltreatment exposure. METHODS Data were drawn from the Detroit Neighborhood Health Study, a prospective representative sample of predominately African Americans in the Detroit population. Neighborhood physical disorder was measured via systematic neighborhood assessment. Child maltreatment indicators included self-reported physical, sexual, and emotional abuse. Incident binge drinking was defined as at least one episode of ≥5 drinks (men) or ≥4 drinks (women) in the past 30-day period among those with no binge drinking at baseline (N=1,013). RESULTS Child maltreatment and neighborhood physical disorder interacted to predict incident binge drinking (B=0.16, p=0.02) and maximum number of past 30-day drinks (B=0.15, p=0.04), such that neighborhood physical disorder predicted problematic alcohol use only among individuals with high exposure to child maltreatment. CONCLUSION The results add to the growing literature that African Americans in the U.S. are exposed to an array of stressors that have pernicious consequences for problematic alcohol use. Our results document the need for increased attention to the potential for at-risk alcohol use among populations with a high degree of stress exposure. PMID:21981990

Identifying a clinical signature of suicidality among patients with mood disorders: a pilot study using a machine learning approach

PubMed Central

Passos, Ives Cavalcante; Mwangi, Benson; Cao, Bo; Hamilton, Jane E; Wu, Mon-Ju; Zhang, Xiang Yang; Zunta-Soares, Giovana B.; Quevedo, Joao; Kauer-Sant'Anna, Marcia; Kapczinski, Flávio; Soares, Jair C.

2016-01-01

Objective A growing body of evidence has put forward clinical risk factors associated with patients with mood disorders that attempt suicide. However, what is not known is how to integrate clinical variables into a clinically useful tool in order to estimate the probability of an individual patient attempting suicide. Method A total of 144 patients with mood disorders were included. Clinical variables associated with suicide attempts among patients with mood disorders and demographic variables were used to ‘train’ a machine learning algorithm. The resulting algorithm was utilized in identifying novel or ‘unseen’ individual subjects as either suicide attempters or non-attempters. Three machine learning algorithms were implemented and evaluated. Results All algorithms distinguished individual suicide attempters from non-attempters with prediction accuracy ranging between 65%-72% (p<0.05). In particular, the relevance vector machine (RVM) algorithm correctly predicted 103 out of 144 subjects translating into 72% accuracy (72.1% sensitivity and 71.3% specificity) and an area under the curve of 0.77 (p<0.0001). The most relevant predictor variables in distinguishing attempters from non-attempters included previous hospitalizations for depression, a history of psychosis, cocaine dependence and post-traumatic stress disorder (PTSD) comorbidity. Conclusion Risk for suicide attempt among patients with mood disorders can be estimated at an individual subject level by incorporating both demographic and clinical variables. Future studies should examine the performance of this model in other populations and its subsequent utility in facilitating selection of interventions to prevent suicide. PMID:26773901

Usefulness of Heavy Drinking and Binge Drinking for the Diagnosis of Alcohol Use Disorder

PubMed Central

Kim, Seong Gu; Sung, Han Na

2016-01-01

Background This research investigated the sensitivity and specificity of heavy and binge drinking for screening of alcohol use disorder. Methods This retrospective study was conducted with 976 adults who visited the Sun Health Screening Center for health screenings in 2015. Daily drinking amount, drinking frequency per week, and weekly drinking amount were investigated. Using criteria from the National Institute on Alcohol Abuse and Alcoholism, participants were classified as normal drinkers, heavy drinkers, or binge drinkers, and grouped by age and sex. The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of heavy and binge drinking were compared for the diagnosis of alcohol abuse and alcohol dependence using the Diagnostic and Statistical Manual of Mental Disorders (DSM) 4th edition-text revision and alcohol use disorder using the DSM 5th edition. Results The sensitivity of heavy and binge drinking for the diagnosis of alcohol abuse, alcohol dependence, and alcohol use disorder were 51.7%, 43.8%, and 35.3%, and 69.0%, 62.5%, and 48.2%, respectively. The specificity of these were 90.1%, 91.7%, and 95.5%, and 84.3%, 86.8%, and 91.2%, respectively. The PPV of these were 24.8%, 40.5%, and 72.7%, and 21.7%, 38.0%, and 65.2%, respectively. The NPV of these were 96.7%, 92.6%, and 81.2%, and 97.8%, 94.7%, and 83.7%, respectively. Conclusion Heavy and binge drinking did not show enough diagnostic power to screen DSM alcohol use disorder although they did show high specificity and NPV. PMID:27468339

A systematic review and secondary data analysis of the interactions between the serotonin transporter 5-HTTLPR polymorphism and environmental and psychological factors in eating disorders

PubMed Central

Rozenblat, Vanja; Ong, Deborah; Fuller-Tyszkiewicz, Matthew; Akkermann, Kirsti; Collier, David; Engels, Rutger C.M.E; Fernandez-Aranda, Fernando; Harro, Jaanus; Homberg, Judith R.; Karwautz, Andreas; Kiive, Evelyn; Klump, Kelly L.; Larson, Christine L.; Racine, Sarah E.; Richardson, Jodie; Steiger, Howard; Stoltenberg, Scott F.; van Strien, Tatjana; Wagner, Gudrun; Treasure, Janet; Krug, Isabel

2016-01-01

Objectives To summarize and synthesize the growing gene x environment (GxE) research investigating the promoter region of the serotonin transporter gene (5-HTTLPR) in the eating disorders (ED) field, and overcome the common limitation of low sample size, by undertaking a systematic review followed by a secondary data meta-analysis of studies identified by the review. Method A systematic review of articles using PsycINFO, PubMed, and EMBASE was undertaken to identify studies investigating the interaction between 5-HTTLPR and an environmental or psychological factor, with an ED-related outcome variable. Seven studies were identified by the systematic review, with complete data sets of five community (n=1750, 64.5% female) and two clinical (n=426, 100% female) samples combined to perform four secondary-data analyses: 5-HTTLPR x Traumatic Life Events to predict ED status (n=909), 5-HTTLPR x Sexual and Physical Abuse to predict bulimic symptoms (n=1097), 5-HTTLPR x Depression to predict bulimic symptoms (n=1256), and 5-HTTLPR x Impulsiveness to predict disordered eating (n=1149). Results Under a multiplicative model, the low function (s) allele of 5-HTTLPR interacted with traumatic life events and experiencing both sexual and physical abuse (but not only one) to predict increased likelihood of an ED and bulimic symptoms, respectively. However, under an additive model there was also an interaction between sexual and physical abuse considered independently and 5-HTTLPR, and no interaction with traumatic life events. No other GxE interactions were significant. Conclusion Early promising results should be followed-up with continued cross-institutional collaboration in order to achieve the large sample sizes necessary for genetic research. PMID:27701012

Study on a pattern classification method of soil quality based on simplified learning sample dataset

USGS Publications Warehouse

Zhang, Jiahua; Liu, S.; Hu, Y.; Tian, Y.

2011-01-01

Based on the massive soil information in current soil quality grade evaluation, this paper constructed an intelligent classification approach of soil quality grade depending on classical sampling techniques and disordered multiclassification Logistic regression model. As a case study to determine the learning sample capacity under certain confidence level and estimation accuracy, and use c-means algorithm to automatically extract the simplified learning sample dataset from the cultivated soil quality grade evaluation database for the study area, Long chuan county in Guangdong province, a disordered Logistic classifier model was then built and the calculation analysis steps of soil quality grade intelligent classification were given. The result indicated that the soil quality grade can be effectively learned and predicted by the extracted simplified dataset through this method, which changed the traditional method for soil quality grade evaluation. ?? 2011 IEEE.

Examining overgeneral autobiographical memory as a risk factor for adolescent depression.

PubMed

Rawal, Adhip; Rice, Frances

2012-05-01

Identifying risk factors for adolescent depression is an important research aim. Overgeneral autobiographical memory (OGM) is a feature of adolescent depression and a candidate cognitive risk factor for future depression. However, no study has ascertained whether OGM predicts the onset of adolescent depressive disorder. OGM was investigated as a predictor of depressive disorder and symptoms in a longitudinal study of high-risk adolescents. In addition, cross-sectional associations between OGM and current depression and OGM differences between depressed adolescents with different clinical outcomes were examined over time. A 1-year longitudinal study of adolescents at familial risk for depression (n = 277, 10-18 years old) was conducted. Autobiographical memory was assessed at baseline. Clinical interviews assessed diagnostic status at baseline and follow-up. Currently depressed adolescents showed an OGM bias compared with adolescents with no disorder and those with anxiety or externalizing disorders. OGM to negative cues predicted the onset of depressive disorder and depressive symptoms at follow-up in adolescents free from depressive disorder at baseline. This effect was independent of the contribution of age, IQ, and baseline depressive symptoms. OGM did not predict onset of anxiety or externalizing disorders. Adolescents with depressive disorder at both assessments were not more overgeneral than adolescents who recovered from depressive disorder over the follow-up period. OGM to negative cues predicted the onset of depressive disorder (but not other disorders) and depressive symptoms over time in adolescents at familial risk for depression. Results are consistent with OGM as a risk factor for depression. Copyright © 2012 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Anatomical brain images alone can accurately diagnose chronic neuropsychiatric illnesses.

PubMed

Bansal, Ravi; Staib, Lawrence H; Laine, Andrew F; Hao, Xuejun; Xu, Dongrong; Liu, Jun; Weissman, Myrna; Peterson, Bradley S

2012-01-01

Diagnoses using imaging-based measures alone offer the hope of improving the accuracy of clinical diagnosis, thereby reducing the costs associated with incorrect treatments. Previous attempts to use brain imaging for diagnosis, however, have had only limited success in diagnosing patients who are independent of the samples used to derive the diagnostic algorithms. We aimed to develop a classification algorithm that can accurately diagnose chronic, well-characterized neuropsychiatric illness in single individuals, given the availability of sufficiently precise delineations of brain regions across several neural systems in anatomical MR images of the brain. We have developed an automated method to diagnose individuals as having one of various neuropsychiatric illnesses using only anatomical MRI scans. The method employs a semi-supervised learning algorithm that discovers natural groupings of brains based on the spatial patterns of variation in the morphology of the cerebral cortex and other brain regions. We used split-half and leave-one-out cross-validation analyses in large MRI datasets to assess the reproducibility and diagnostic accuracy of those groupings. In MRI datasets from persons with Attention-Deficit/Hyperactivity Disorder, Schizophrenia, Tourette Syndrome, Bipolar Disorder, or persons at high or low familial risk for Major Depressive Disorder, our method discriminated with high specificity and nearly perfect sensitivity the brains of persons who had one specific neuropsychiatric disorder from the brains of healthy participants and the brains of persons who had a different neuropsychiatric disorder. Although the classification algorithm presupposes the availability of precisely delineated brain regions, our findings suggest that patterns of morphological variation across brain surfaces, extracted from MRI scans alone, can successfully diagnose the presence of chronic neuropsychiatric disorders. Extensions of these methods are likely to provide biomarkers that will aid in identifying biological subtypes of those disorders, predicting disease course, and individualizing treatments for a wide range of neuropsychiatric illnesses.

Single Subject Prediction of Brain Disorders in Neuroimaging: Promises and Pitfalls

PubMed Central

Arbabshirani, Mohammad R.; Plis, Sergey; Sui, Jing; Calhoun, Vince D.

2016-01-01

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modalities such as structural, functional and diffusion MRI, along with machine learning techniques, hundreds of studies have been carried out for accurate classification of patients with heterogeneous mental and neurodegenerative disorders such as schizophrenia and Alzheimer's disease. More than 500 studies have been published during the past quarter century on single subject prediction focused on a multiple brain disorders. In the first part of this study, we provide a survey of more than 200 reports in this field with a focus on schizophrenia, mild cognitive impairment (MCI), Alzheimer's disease (AD), depressive disorders, autism spectrum disease (ASD) and attention-deficit hyperactivity disorder (ADHD). Detailed information about those studies such as sample size, type and number of extracted features and reported accuracy are summarized and discussed. To our knowledge, this is by far the most comprehensive review of neuroimaging-based single subject prediction of brain disorders. In the second part, we present our opinion on major pitfalls of those studies from a machine learning point of view. Common biases are discussed and suggestions are provided. Moreover, emerging trends such as decentralized data sharing, multimodal brain imaging, differential diagnosis, disease subtype classification and deep learning are also discussed. Based on this survey, there are extensive evidences showing the great potential of neuroimaging data for single subject prediction of various disorders. However, the main bottleneck of this exciting field is still the limited sample size, which could be potentially addressed by modern data sharing models such as the ones discussed in this paper. Emerging big data technologies and advanced data-intensive machine learning methodologies such as deep learning have coincided with an increasing need for accurate, robust and generalizable single subject prediction of brain disorders during an exciting time. In this report, we survey the past and offer some opinions regarding the road ahead. PMID:27012503

Single subject prediction of brain disorders in neuroimaging: Promises and pitfalls.

PubMed

Arbabshirani, Mohammad R; Plis, Sergey; Sui, Jing; Calhoun, Vince D

2017-01-15

Neuroimaging-based single subject prediction of brain disorders has gained increasing attention in recent years. Using a variety of neuroimaging modalities such as structural, functional and diffusion MRI, along with machine learning techniques, hundreds of studies have been carried out for accurate classification of patients with heterogeneous mental and neurodegenerative disorders such as schizophrenia and Alzheimer's disease. More than 500 studies have been published during the past quarter century on single subject prediction focused on a multiple brain disorders. In the first part of this study, we provide a survey of more than 200 reports in this field with a focus on schizophrenia, mild cognitive impairment (MCI), Alzheimer's disease (AD), depressive disorders, autism spectrum disease (ASD) and attention-deficit hyperactivity disorder (ADHD). Detailed information about those studies such as sample size, type and number of extracted features and reported accuracy are summarized and discussed. To our knowledge, this is by far the most comprehensive review of neuroimaging-based single subject prediction of brain disorders. In the second part, we present our opinion on major pitfalls of those studies from a machine learning point of view. Common biases are discussed and suggestions are provided. Moreover, emerging trends such as decentralized data sharing, multimodal brain imaging, differential diagnosis, disease subtype classification and deep learning are also discussed. Based on this survey, there is extensive evidence showing the great potential of neuroimaging data for single subject prediction of various disorders. However, the main bottleneck of this exciting field is still the limited sample size, which could be potentially addressed by modern data sharing models such as the ones discussed in this paper. Emerging big data technologies and advanced data-intensive machine learning methodologies such as deep learning have coincided with an increasing need for accurate, robust and generalizable single subject prediction of brain disorders during an exciting time. In this report, we survey the past and offer some opinions regarding the road ahead. Copyright © 2016 Elsevier Inc. All rights reserved.

Children's Problems Predict Adults' "DSM-IV" Disorders across 24 Years

ERIC Educational Resources Information Center

Reef, Joni; van Meurs, Inge; Verhulst, Frank C.; van der Ende, Jan

2010-01-01

Objective: The goal of this study was to determine continuities of a broad range of psychopathology from childhood into middle adulthood in a general population sample across a 24-year follow-up. Method: In 1983, parent ratings of children's problems were collected with the Child Behavior Checklist (CBCL) in a general population sample of 2,076…

Validity of Sudden Gains in Acute Phase Treatment of Depression

ERIC Educational Resources Information Center

Vittengl, Jeffrey R.; Clark, Lee Anna; Jarrett, Robin B.

2005-01-01

The authors examined the validity of sudden gains identified with T. Z. Tang and R. J. DeRubeis's (1999) method in 2 clinical data sets that involved treatment of major depressive disorder (N=227). Sudden gains replicated among self- and clinician reports of depressive symptoms and predicted better psychosocial functioning at the acute phase…

Sympathetic- and Parasympathetic-Linked Cardiac Function and Prediction of Externalizing Behavior, Emotion Regulation, and Prosocial Behavior among Preschoolers Treated for ADHD

ERIC Educational Resources Information Center

Beauchaine, Theodore P.; Gatzke-Kopp, Lisa; Neuhaus, Emily; Chipman, Jane; Reid, M. Jamila; Webster-Stratton, Carolyn

2013-01-01

Objective: To evaluate measures of cardiac activity and reactivity as prospective biomarkers of treatment response to an empirically supported behavioral intervention for attention-deficit/hyperactivity disorder (ADHD). Method: Cardiac preejection period (PEP), an index of sympathetic-linked cardiac activity, and respiratory sinus arrhythmia…

Ethnic Differences in Parental Beliefs of Attention-Deficit/Hyperactivity Disorder and Treatment

ERIC Educational Resources Information Center

Pham, Andy V.; Carlson, John S.; Kosciulek, John F.

2010-01-01

Objective: A survey study was conducted to explore ethnic differences in parental beliefs about the causes and treatments of ADHD and whether these beliefs predicted treatment preference. Method: Ethnically diverse parents of 5- to 12-year-old children with ADHD (n = 58) and without ADHD (n = 61) completed a questionnaire developed by the authors…

Implicit Learning Abilities Predict Treatment Response in Autism Spectrum Disorders

DTIC Science & Technology

2015-09-01

2 AWARD NUMBER: W81XWH-14-1-0261 TITLE: Implicit Learning Abilities Predict Treatment Response in Autism Spectrum Disorders PRINCIPAL...Treatment Response in Autism Spectrum Disorders 5b. GRANT NUMBER W81XWH-14-1-0261 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT NUMBER...for Autism Spectrum Disorder (ASD), but almost half of the children do not make significant gains. Implicit learning skills are integral to

Prediction of psychosis across protocols and risk cohorts using automated language analysis

PubMed Central

Corcoran, Cheryl M.; Carrillo, Facundo; Fernández‐Slezak, Diego; Bedi, Gillinder; Klim, Casimir; Javitt, Daniel C.; Bearden, Carrie E.; Cecchi, Guillermo A.

2018-01-01

Language and speech are the primary source of data for psychiatrists to diagnose and treat mental disorders. In psychosis, the very structure of language can be disturbed, including semantic coherence (e.g., derailment and tangentiality) and syntactic complexity (e.g., concreteness). Subtle disturbances in language are evident in schizophrenia even prior to first psychosis onset, during prodromal stages. Using computer‐based natural language processing analyses, we previously showed that, among English‐speaking clinical (e.g., ultra) high‐risk youths, baseline reduction in semantic coherence (the flow of meaning in speech) and in syntactic complexity could predict subsequent psychosis onset with high accuracy. Herein, we aimed to cross‐validate these automated linguistic analytic methods in a second larger risk cohort, also English‐speaking, and to discriminate speech in psychosis from normal speech. We identified an automated machine‐learning speech classifier – comprising decreased semantic coherence, greater variance in that coherence, and reduced usage of possessive pronouns – that had an 83% accuracy in predicting psychosis onset (intra‐protocol), a cross‐validated accuracy of 79% of psychosis onset prediction in the original risk cohort (cross‐protocol), and a 72% accuracy in discriminating the speech of recent‐onset psychosis patients from that of healthy individuals. The classifier was highly correlated with previously identified manual linguistic predictors. Our findings support the utility and validity of automated natural language processing methods to characterize disturbances in semantics and syntax across stages of psychotic disorder. The next steps will be to apply these methods in larger risk cohorts to further test reproducibility, also in languages other than English, and identify sources of variability. This technology has the potential to improve prediction of psychosis outcome among at‐risk youths and identify linguistic targets for remediation and preventive intervention. More broadly, automated linguistic analysis can be a powerful tool for diagnosis and treatment across neuropsychiatry. PMID:29352548

Prediction of psychosis across protocols and risk cohorts using automated language analysis.

PubMed

Corcoran, Cheryl M; Carrillo, Facundo; Fernández-Slezak, Diego; Bedi, Gillinder; Klim, Casimir; Javitt, Daniel C; Bearden, Carrie E; Cecchi, Guillermo A

2018-02-01

Language and speech are the primary source of data for psychiatrists to diagnose and treat mental disorders. In psychosis, the very structure of language can be disturbed, including semantic coherence (e.g., derailment and tangentiality) and syntactic complexity (e.g., concreteness). Subtle disturbances in language are evident in schizophrenia even prior to first psychosis onset, during prodromal stages. Using computer-based natural language processing analyses, we previously showed that, among English-speaking clinical (e.g., ultra) high-risk youths, baseline reduction in semantic coherence (the flow of meaning in speech) and in syntactic complexity could predict subsequent psychosis onset with high accuracy. Herein, we aimed to cross-validate these automated linguistic analytic methods in a second larger risk cohort, also English-speaking, and to discriminate speech in psychosis from normal speech. We identified an automated machine-learning speech classifier - comprising decreased semantic coherence, greater variance in that coherence, and reduced usage of possessive pronouns - that had an 83% accuracy in predicting psychosis onset (intra-protocol), a cross-validated accuracy of 79% of psychosis onset prediction in the original risk cohort (cross-protocol), and a 72% accuracy in discriminating the speech of recent-onset psychosis patients from that of healthy individuals. The classifier was highly correlated with previously identified manual linguistic predictors. Our findings support the utility and validity of automated natural language processing methods to characterize disturbances in semantics and syntax across stages of psychotic disorder. The next steps will be to apply these methods in larger risk cohorts to further test reproducibility, also in languages other than English, and identify sources of variability. This technology has the potential to improve prediction of psychosis outcome among at-risk youths and identify linguistic targets for remediation and preventive intervention. More broadly, automated linguistic analysis can be a powerful tool for diagnosis and treatment across neuropsychiatry. © 2018 World Psychiatric Association.

Predictors of Response to Ketamine in Treatment Resistant Major Depressive Disorder and Bipolar Disorder

PubMed Central

Park, Caroline; Rosenblat, Joshua D.; Subramaniapillai, Mehala; Zuckerman, Hannah; Fus, Dominika; Lee, Yena L.; Pan, Zihang; Brietzke, Elisa; Mansur, Rodrigo B.; Cha, Danielle S.; Lui, Leanna M. W.; McIntyre, Roger S.

2018-01-01

Objectives: Extant evidence indicates that ketamine exerts rapid antidepressant effects in treatment-resistant depressive (TRD) symptoms as a part of major depressive disorder (MDD) and bipolar disorder (BD). The identification of depressed sub-populations that are more likely to benefit from ketamine treatment remains a priority. In keeping with this view, the present narrative review aims to identify the pretreatment predictors of response to ketamine in TRD as part of MDD and BD. Method: Electronic search engines PubMed/MEDLINE, ClinicalTrials.gov, and Scopus were searched for relevant articles from inception to January 2018. The search term ketamine was cross-referenced with the terms depression, major depressive disorder, bipolar disorder, predictors, and response and/or remission. Results: Multiple baseline pretreatment predictors of response were identified, including clinical (i.e., Body Mass Index (BMI), history of suicide, family history of alcohol use disorder), peripheral biochemistry (i.e., adiponectin levels, vitamin B12 levels), polysomnography (abnormalities in delta sleep ratio), neurochemistry (i.e., glutamine/glutamate ratio), neuroimaging (i.e., anterior cingulate cortex activity), genetic variation (i.e., Val66Met BDNF allele), and cognitive functioning (i.e., processing speed). High BMI and a positive family history of alcohol use disorder were the most replicated predictors. Conclusions: A pheno-biotype of depression more, or less likely, to benefit with ketamine treatment is far from complete. Notwithstanding, metabolic-inflammatory alterations are emerging as possible pretreatment response predictors of depressive symptom improvement, most notably being cognitive impairment. Sophisticated data-driven computational methods that are iterative and agnostic are more likely to provide actionable baseline pretreatment predictive information. PMID:29673146

Anxiety sensitivity, catastrophic misinterpretations and panic self-efficacy in the prediction of panic disorder severity: towards a tripartite cognitive model of panic disorder.

PubMed

Sandin, Bonifacio; Sánchez-Arribas, Carmen; Chorot, Paloma; Valiente, Rosa M

2015-04-01

The present study examined the contribution of three main cognitive factors (i.e., anxiety sensitivity, catastrophic misinterpretations of bodily symptoms, and panic self-efficacy) in predicting panic disorder (PD) severity in a sample of patients with a principal diagnosis of panic disorder. It was hypothesized that anxiety sensitivity (AS), catastrophic misinterpretation of bodily sensations, and panic self-efficacy are uniquely related to panic disorder severity. One hundred and sixty-eight participants completed measures of AS, catastrophic misinterpretations of panic-like sensations, and panic self-efficacy prior to receiving treatment. Results of multiple linear regression analyses indicated that AS, catastrophic misinterpretations and panic self-efficacy independently predicted panic disorder severity. Results of path analyses indicated that AS was direct and indirectly (mediated by catastrophic misinterpretations) related with panic severity. Results provide evidence for a tripartite cognitive account of panic disorder. Copyright © 2015 Elsevier Ltd. All rights reserved.

LSTM for diagnosis of neurodegenerative diseases using gait data

NASA Astrophysics Data System (ADS)

Zhao, Aite; Qi, Lin; Li, Jie; Dong, Junyu; Yu, Hui

2018-04-01

Neurodegenerative diseases (NDs) usually cause gait disorders and postural disorders, which provides an important basis for NDs diagnosis. By observing and analyzing these clinical manifestations, medical specialists finally give diagnostic results to the patient, which is inefficient and can be easily affected by doctors' subjectivity. In this paper, we propose a two-layer Long Short-Term Memory (LSTM) model to learn the gait patterns exhibited in the three NDs. The model was trained and tested using temporal data that was recorded by force-sensitive resistors including time series, such as stride interval and swing interval. Our proposed method outperforms other methods in literature in accordance with accuracy of the predicted diagnostic result. Our approach aims at providing the quantitative assessment so that to indicate the diagnosis and treatment of these neurodegenerative diseases in clinic

Suicide, Hospital-Presenting Suicide Attempts, and Criminality in Bipolar Disorder: Examination of Risk for Multiple Adverse Outcomes

PubMed Central

Webb, Roger T.; Lichtenstein, Paul; Larsson, Henrik; Geddes, John R.; Fazel, Seena

2014-01-01

Objective To compare risks for suicidality and criminality in a national cohort of people diagnosed with bipolar disorder, and to assess how risk factor profiles differ between these outcomes. Method We conducted 2 case-cohort studies using interlinked Swedish national registers. Primarily, using International Classification of Diseases (ICD) coding, we identified 15,337 people diagnosed with bipolar disorder, 1973–2009, matched by age and gender to 20 individuals per case sampled randomly from the general population. We estimated risks of suicide and hospital-presenting attempted suicide, and violent and nonviolent criminal offending. We separately assessed these risks among 14,677 unaffected siblings matched to a second general population sample. Results 22.2% of bipolar disorder cohort members engaged in suicidal or criminal acts after diagnosis. They were at greatly elevated risk for completed suicide (risk ratio = 18.8; 95% CI, 16.0–22.2), attempted suicide (risk ratio = 14.3; 95% CI, 13.5–15.2), violent crime (risk ratio = 5.0; 95% CI, 4.6–5.4), and nonviolent crime (risk ratio = 2.9; 95% CI, 2.8–3.1) compared with the general population. Elevations in risk were far less marked among the unaffected siblings than in the bipolar disorder cohort. Three factors independently predicted raised risk of all 4 adverse outcomes: if the first 2 patient episodes for bipolar disorder required admission, a history of attempted suicide, and a history of diagnosed alcohol/drug disorder. Criminal offending before bipolar diagnosis was an especially strong independent predictor of criminality after diagnosis. Conclusions The combined risk of suicidality or criminality is substantially elevated in both relative and absolute terms. Clinical prediction rules focusing on multiple vulnerabilities following onset of bipolar disorder, especially when there is history of attempted suicide, substance misuse disorders, or criminal offending, may improve risk management. PMID:25191918

Thermoelectricity in transition metal compounds: The role of spin disorder

DOE PAGES

Gorai, Prashun; Toberer, Eric S.; Stevanović, Vladan

2016-11-01

Here, at room temperature and above, most magnetic materials adopt a spin-disordered (paramagnetic) state whose electronic properties can differ significantly from their low-temperature, spin-ordered counterparts. Yet computational searches for new functional materials usually assume some type of magnetic order. In the present work, we demonstrate a methodology to incorporate spin disorder in computational searches and predict the electronic properties of the paramagnetic phase. We implement this method in a high-throughput framework to assess the potential for thermoelectric performance of 1350 transition-metal sulfides and find that all magnetic systems we identify as promising in the spin-ordered ground state cease to bemore » promising in the paramagnetic phase due to disorder-induced deterioration of the charge carrier transport properties. We also identify promising non-magnetic candidates that do not suffer from these spin disorder effects. In addition to identifying promising materials, our results offer insights into the apparent scarcity of magnetic systems among known thermoelectrics and highlight the importance of including spin disorder in computational searches.« less

The recognition of mental health disorders and its association with psychiatric scepticism, knowledge of psychiatry, and the Big Five personality factors: an investigation using the overclaiming technique.

PubMed

Swami, Viren; Persaud, Raj; Furnham, Adrian

2011-03-01

The present study examined the general public's ability to recognise mental health disorders and this ability's association with psychiatric scepticism, knowledge of psychiatry, and the Big Five personality factors. A total of 477 members of the British general public completed an overclaiming scale, in which they were asked to rate the degree to which they believed 20 mental health disorders (of which five were foils designed to resemble real disorders) were real or fake. Participants also completed a novel scale measuring psychiatric scepticism, a single-item measure of knowledge of psychiatry, and a measure of the Big Five personality factors. Results showed that participants were significantly more likely to rate foils as fake disorders than real disorders. In addition, the difference between real and foil ratings was significantly predicted by knowledge of psychiatry, psychiatric scepticism, and the Big Five personality factors of agreeableness and openness to experience. These results are discussed in relation to the overclaiming technique as a novel method to study mental health literacy.

[Predictors of remission from major depressive disorder in secondary care].

PubMed

Salvo, Lilian; Saldivia, Sandra; Parra, Carlos; Cifuentes, Manuel; Bustos, Claudio; Acevedo, Paola; Díaz, Marcela; Ormazabal, Mitza; Guerra, Ivonne; Navarrete, Nicol; Bravo, Verónica; Castro, Andrea

2017-12-01

Background The knowledge of predictive factors in depression should help to deal with the disease. Aim To assess potential predictors of remission of major depressive disorders (MDD) in secondary care and to propose a predictive model. Material and Methods A 12 month follow-up study was conducted in a sample of 112 outpatients at three psychiatric care centers of Chile, with baseline and quarterly assessments. Demographic, psychosocial, clinical and treatment factors as potential predictors, were assessed. A clinical interview with the checklist of DSM-IV diagnostic criteria, the Hamilton Depression Scale and the List of Threatening Experiences and Multidimensional Scale of Perceived Social Support were applied. Results The number of stressful events, perceived social support, baseline depression scores, melancholic features, time prior to beginning treatment at the secondary level and psychotherapeutic sessions were included in the model as predictors of remission. Sex, age, number of previous depressive episodes, psychiatric comorbidity and medical comorbidity were not significantly related with remission. Conclusions This model allows to predict depression score at six months with 70% of accuracy and the score at 12 months with 72% of accuracy.

Observational study to calculate addictive risk to opioids: a validation study of a predictive algorithm to evaluate opioid use disorder

PubMed Central

Brenton, Ashley; Richeimer, Steven; Sharma, Maneesh; Lee, Chee; Kantorovich, Svetlana; Blanchard, John; Meshkin, Brian

2017-01-01

Background Opioid abuse in chronic pain patients is a major public health issue, with rapidly increasing addiction rates and deaths from unintentional overdose more than quadrupling since 1999. Purpose This study seeks to determine the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated single-nucleotide polymorphisms (SNPs). Patients and methods The Proove Opioid Risk (POR) algorithm determines the predictability of aberrant behavior to opioids using a comprehensive scoring algorithm incorporating phenotypic risk factors and neuroscience-associated SNPs. In a validation study with 258 subjects with diagnosed opioid use disorder (OUD) and 650 controls who reported using opioids, the POR successfully categorized patients at high and moderate risks of opioid misuse or abuse with 95.7% sensitivity. Regardless of changes in the prevalence of opioid misuse or abuse, the sensitivity of POR remained >95%. Conclusion The POR correctly stratifies patients into low-, moderate-, and high-risk categories to appropriately identify patients at need for additional guidance, monitoring, or treatment changes. PMID:28572737

Associations in the longitudinal course of body dysmorphic disorder with major depression, obsessive-compulsive disorder, and social phobia.

PubMed

Phillips, Katharine A; Stout, Robert L

2006-06-01

Body dysmorphic disorder (BDD) is an impairing and relatively common disorder that has high comorbidity with certain Axis I disorders. However, the longitudinal associations between BDD and comorbid disorders have not previously been examined. Such information may shed light on the nature of BDD's relationship to putative "near-neighbor" disorders, such as major depression, obsessive-compulsive disorder (OCD), and social phobia. This study examined time-varying associations between BDD and these comorbid disorders in 161 participants over 1-3 years of follow-up in the first prospective longitudinal study of the course of BDD. We found that BDD had significant longitudinal associations with major depression--that is, change in the status of BDD and major depression was closely linked in time, with improvement in major depression predicting BDD remission, and, conversely, improvement in BDD predicting depression remission. We also found that improvement in OCD predicted BDD remission, but that BDD improvement did not predict OCD remission. No significant longitudinal associations were found for BDD and social phobia (although the results for analyses of OCD and social phobia were less numerically stable). These findings suggest (but do not prove) that BDD may be etiologically linked to major depression and OCD, i.e., that BDD may be a member of both the putative OCD spectrum and the affective spectrum. However, BDD does not appear to simply be a symptom of these comorbid disorders, as BDD symptoms persisted in a sizable proportion of subjects who remitted from these comorbid disorders. Additional studies are needed to elucidate the nature of BDD's relationship to commonly co-occurring disorders, as this issue has important theoretical and clinical implications.

Associations in the Longitudinal Course of Body Dysmorphic Disorder with Major Depression, Obsessive Compulsive Disorder, and Social Phobia

PubMed Central

Phillips, Katharine A.; Stout, Robert L.

2009-01-01

Body dysmorphic disorder (BDD) is an impairing and relatively common disorder that has high comorbidity with certain Axis I disorders. However, the longitudinal associations between BDD and comorbid disorders have not previously been examined. Such information may shed light on the nature of BDD’s relationship to putative “near-neighbor” disorders, such as major depression, obsessive-compulsive disorder (OCD), and social phobia. This study examined time-varying associations between BDD and these comorbid disorders in 161 participants over 1 to 3 years of follow-up in the first prospective longitudinal study of the course of BDD. We found that BDD had significant longitudinal associations with major depression – that is, change in the status of BDD and major depression were closely linked in time, with improvement in major depression predicting BDD remission, and, conversely, improvement in BDD predicting depression remission. We also found that improvement in OCD predicted BDD remission, but that BDD improvement did not predict OCD remission. No significant longitudinal associations were found for BDD and social phobia (although the results for analyses of OCD and social phobia were less numerically stable). These findings suggest (but do not prove) that BDD may be etiologically linked to major depression and OCD – i.e., that BDD may be a member of both the putative OCD spectrum and the affective spectrum. However, BDD does not appear to simply be a symptom of these comorbid disorders, as BDD symptoms persisted in a sizable proportion of subjects who remitted from these comorbid disorders. Additional studies are needed to elucidate the nature of BDD’s relationship to commonly co-occurring disorders, as this issue has important theoretical and clinical implications. PMID:16309706

Estimating a Preference-Based Index from the Clinical Outcomes in Routine Evaluation–Outcome Measure (CORE-OM)

PubMed Central

Brazier, John E.; Rowen, Donna; Barkham, Michael

2013-01-01

Background. The Clinical Outcomes in Routine Evaluation–Outcome Measure (CORE-OM) is used to evaluate the effectiveness of psychological therapies in people with common mental disorders. The objective of this study was to estimate a preference-based index for this population using CORE-6D, a health state classification system derived from the CORE-OM consisting of a 5-item emotional component and a physical item, and to demonstrate a novel method for generating states that are not orthogonal. Methods. Rasch analysis was used to identify 11 emotional health states from CORE-6D that were frequently observed in the study population and are, thus, plausible (in contrast, conventional statistical design might generate implausible states). Combined with the 3 response levels of the physical item of CORE-6D, they generate 33 plausible health states, 18 of which were selected for valuation. A valuation survey of 220 members of the public in South Yorkshire, United Kingdom, was undertaken using the time tradeoff (TTO) method. Regression analysis was subsequently used to predict values for all possible states described by CORE-6D. Results. A number of multivariate regression models were built to predict values for the 33 health states of CORE-6D, using the Rasch logit value of the emotional state and the response level of the physical item as independent variables. A cubic model with high predictive value (adjusted R2 = 0.990) was selected to predict TTO values for all 729 CORE-6D health states. Conclusion. The CORE-6D preference-based index will enable the assessment of cost-effectiveness of interventions for people with common mental disorders using existing and prospective CORE-OM data sets. The new method for generating states may be useful for other instruments with highly correlated dimensions. PMID:23178639

Child sexual abuse, post-traumatic stress disorder, and substance use: predictors of revictimization in adult sexual assault survivors.

PubMed

Ullman, Sarah E; Najdowski, Cynthia J; Filipas, Henrietta H

2009-01-01

This study examined the unique effects of child sexual abuse simultaneously with post-traumatic stress disorder symptom clusters, problem drinking, and illicit drug use in relation to sexual revictimization in a community sample of female adult sexual assault victims. Participants (N=555) completed two surveys a year apart. Child sexual abuse predicted more post-traumatic stress disorder symptoms in adult sexual assault victims. Posttraumatic stress disorder numbing symptoms directly predicted revictimization, whereas other post-traumatic stress disorder symptoms (reexperiencing, avoidance, and arousal) were related to problem drinking, which in turn predicted revictimization. Thus, numbing symptoms and problem drinking may be independent risk factors for sexual revictimization in adult sexual assault victims, particularly for women with a history of childhood sexual abuse.

Reaction Time Variability Associated with Reading Skills in Poor Readers with ADHD

PubMed Central

Tamm, Leanne; Epstein, Jeffery N.; Denton, Carolyn A.; Vaughn, Aaron J.; Peugh, James; Willcutt, Erik G.

2014-01-01

Objective Linkages between neuropsychological functioning (i.e., response inhibition, processing speed, reaction time variability) and word reading have been documented among children with Attention-Deficit/Hyperactivity Disorder (ADHD) and children with Reading Disorders. However, associations between neuropsychological functioning and other aspects of reading (i.e., fluency, comprehension) have not been well-documented among children with comorbid ADHD and Reading Disorder. Method Children with ADHD and poor word reading (i.e., ≤25th percentile) completed a stop signal task (SST) and tests of word reading, reading fluency, and reading comprehension. Multivariate multiple regression was conducted predicting the reading skills from SST variables [i.e., mean reaction time (MRT), reaction time standard deviation (SDRT), and stop signal reaction time (SSRT)]. Results SDRT predicted word reading, reading fluency, and reading comprehension. MRT and SSRT were not associated with any reading skill. After including word reading in models predicting reading fluency and reading comprehension, the effects of SDRT were minimized. Discussion Reaction time variability (i.e., SDRT) reflects impairments in information processing and failure to maintain executive control. The pattern of results from this study suggest SDRT exerts its effects on reading fluency and reading comprehension through its effect on word reading (i.e., decoding) and that this relation may be related to observed deficits in higher-level elements of reading. PMID:24528537

Cognitive Mediators of Treatment for Social Anxiety Disorder: Comparing Acceptance and Commitment Therapy and Cognitive-Behavioral Therapy

PubMed Central

Niles, Andrea N.; Burklund, Lisa J.; Arch, Joanna J.; Lieberman, Matthew D.; Saxbe, Darby; Craske, Michelle G.

2016-01-01

Objective To assess the relationship between session-by-session mediators and treatment outcomes in traditional cognitive-behavioral therapy (CBT) and acceptance and commitment therapy (ACT) for social anxiety disorder. Method Session-by-session changes in negative cognitions (a theorized mediator of CBT) and experiential avoidance (a theorized mediator of ACT) were assessed in 50 adult outpatients randomized to CBT (n = 25) or ACT (n = 25) for DSM-IV social anxiety disorder. Results Multilevel modeling analyses revealed significant nonlinear decreases in the proposed mediators in both treatments, with ACT showing steeper decline than CBT at the beginning of treatment and CBT showing steeper decline than ACT at the end of treatment. Curvature (or the nonlinear effect) of experiential avoidance during treatment significantly mediated posttreatment social anxiety symptoms and anhedonic depression in ACT, but not in CBT, with steeper decline of the Acceptance and Action Questionnaire at the beginning of treatment predicting fewer symptoms in ACT only. Curvature of negative cognitions during both treatments predicted outcome, with steeper decline of negative cognitions at the beginning of treatment predicting lower posttreatment social anxiety and depressive symptoms. Conclusions Rate of change in negative cognitions at the beginning of treatment is an important predictor of change across both ACT and CBT, whereas rate of change in experiential avoidance at the beginning of treatment is a mechanism specific to ACT. PMID:25022777

Do dimensional psychopathology measures relate to creative achievement or divergent thinking?

PubMed Central

Zabelina, Darya L.; Condon, David; Beeman, Mark

2014-01-01

Previous research provides disparate accounts of the putative association between creativity and psychopathology, including schizotypy, psychoticism, hypomania, bipolar disorder, ADHD, and autism spectrum disorders. To examine these association, healthy, non-clinical participants completed several psychopathology-spectrum measures, often postulated to associate with creativity: the Schizotypal Personality Questionnaire, the Psychoticism scale, the Personality Inventory for DSM-5, the Hypomanic Personality Scale, the Attention Deficit/Hyperactivity Disorder scale, the Beck Depression Inventory, and the Autism-Spectrum Quotient. The goal of Study 1 was to evaluate the factor structure of these dimensional psychopathology measures and, in particular, to evaluate the case for a strong general factor(s). None of the factor solutions between 1 and 10 factors provided a strong fit with the data based on the most commonly used metrics. The goal of Study 2 was to determine whether these psychopathology scales predict, independently, two measures of creativity: 1. a measure of participants' real-world creative achievements, and 2. divergent thinking, a laboratory measure of creative cognition. After controlling for academic achievement, psychoticism and hypomania reliably predicted real-world creative achievement and divergent thinking scored with the consensual assessment technique. None of the psychopathology-spectrum scales reliably predicted divergent thinking scored with the manual scoring method. Implications for the potential links between several putative creative processes and risk factors for psychopathology are discussed. PMID:25278919

Do dimensional psychopathology measures relate to creative achievement or divergent thinking?

PubMed

Zabelina, Darya L; Condon, David; Beeman, Mark

2014-01-01

Previous research provides disparate accounts of the putative association between creativity and psychopathology, including schizotypy, psychoticism, hypomania, bipolar disorder, ADHD, and autism spectrum disorders. To examine these association, healthy, non-clinical participants completed several psychopathology-spectrum measures, often postulated to associate with creativity: the Schizotypal Personality Questionnaire, the Psychoticism scale, the Personality Inventory for DSM-5, the Hypomanic Personality Scale, the Attention Deficit/Hyperactivity Disorder scale, the Beck Depression Inventory, and the Autism-Spectrum Quotient. The goal of Study 1 was to evaluate the factor structure of these dimensional psychopathology measures and, in particular, to evaluate the case for a strong general factor(s). None of the factor solutions between 1 and 10 factors provided a strong fit with the data based on the most commonly used metrics. The goal of Study 2 was to determine whether these psychopathology scales predict, independently, two measures of creativity: 1. a measure of participants' real-world creative achievements, and 2. divergent thinking, a laboratory measure of creative cognition. After controlling for academic achievement, psychoticism and hypomania reliably predicted real-world creative achievement and divergent thinking scored with the consensual assessment technique. None of the psychopathology-spectrum scales reliably predicted divergent thinking scored with the manual scoring method. Implications for the potential links between several putative creative processes and risk factors for psychopathology are discussed.

Risk factors for eating disorder symptoms at 12 years of age: A 6-year longitudinal cohort study.

PubMed

Evans, Elizabeth H; Adamson, Ashley J; Basterfield, Laura; Le Couteur, Ann; Reilly, Jessica K; Reilly, John J; Parkinson, Kathryn N

2017-01-01

Eating disorders pose risks to health and wellbeing in young adolescents, but prospective studies of risk factors are scarce and this has impeded prevention efforts. This longitudinal study aimed to examine risk factors for eating disorder symptoms in a population-based birth cohort of young adolescents at 12 years. Participants from the Gateshead Millennium Study birth cohort (n = 516; 262 girls and 254 boys) completed self-report questionnaire measures of eating disorder symptoms and putative risk factors at age 7 years, 9 years and 12 years, including dietary restraint, depressive symptoms and body dissatisfaction. Body mass index (BMI) was also measured at each age. Within-time correlates of eating disorder symptoms at 12 years of age were greater body dissatisfaction for both sexes and, for girls only, higher depressive symptoms. For both sexes, higher eating disorder symptoms at 9 years old significantly predicted higher eating disorder symptoms at 12 years old. Dietary restraint at 7 years old predicted boys' eating disorder symptoms at age 12, but not girls'. Factors that did not predict eating disorder symptoms at 12 years of age were BMI (any age), girls' dietary restraint at 7 years and body dissatisfaction at 7 and 9 years of age for both sexes. In this population-based study, different patterns of predictors and correlates of eating disorder symptoms were found for girls and boys. Body dissatisfaction, a purported risk factor for eating disorder symptoms in young adolescents, developed concurrently with eating disorder symptoms rather than preceding them. However, restraint at age 7 and eating disorder symptoms at age 9 years did predict 12-year eating disorder symptoms. Overall, our findings suggest that efforts to prevent disordered eating might beneficially focus on preadolescent populations. Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

The influence of comorbid disorders on the episodicity of bipolar disorder in youth.

PubMed

Yen, S; Stout, R; Hower, H; Killam, M A; Weinstock, L M; Topor, D R; Dickstein, D P; Hunt, J I; Gill, M K; Goldstein, T R; Goldstein, B I; Ryan, N D; Strober, M; Sala, R; Axelson, D A; Birmaher, B; Keller, M B

2016-04-01

Bipolar disorder (BP) frequently co-occurs with other psychiatric disorders. We examine whether course of anxiety disorders (ANX), attention deficit hyperactivity disorder (ADHD), disruptive behavior disorders (DBD), and substance use disorders (SUD) influence likelihood of recovery and recurrence of depression and mania in BP youth. Weekly ratings of psychiatric disorder intensity were obtained from 413 participants of the Course and Outcome of BP Youth project, followed for an average of 7.75 years. Multiple-event Cox proportional hazards regression analyses examined worsening of comorbid disorders as predictors of mood episode recovery and recurrence. Increased severity in ANX and SUD predicted longer time to recovery and less time to next depressive episode, and less time to next manic episode. Multivariate models with ANX and SUD found that significant effects of ANX remained, but SUD only predicted longer time to depression recovery. Increased severity of ADHD and DBD predicted shorter time to recurrence for depressive and manic episodes. There are significant time-varying relationships between the course of comorbid disorders and episodicity of depression and mania in BP youth. Worsening of comorbid conditions may present as a precursor to mood episode recurrence or warn of mood episode protraction. © 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Prior Mental Disorders and Lifetime Suicidal Behaviors Among US Army Soldiers in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS).

PubMed

Millner, Alexander J; Ursano, Robert J; Hwang, Irving; J King, Andrew; Naifeh, James A; Sampson, Nancy A; Zaslavsky, Alan M; Stein, Murray B; Kessler, Ronald C; Nock, Matthew K

2017-09-19

We report on associations of retrospectively reported temporally prior mental disorders and Army career characteristics with subsequent first onset of suicidal behaviors in a large, representative sample of US Army soldiers who participated in the Consolidated All-Army Survey of the Army Study to Assess Risk and Resilience in Servicemembers (N = 29,982). Results reveal that among men and women, all self-reported lifetime disorders measured (some assessed with screening scales) are associated with subsequent onset of suicide ideation. Among men, three disorders characterized by agitation and impulsiveness (intermittent explosive disorder, panic disorder, and substance disorders) predict the transition from suicide ideation to attempt. For both men and women, being in the Regular Army (vs. National Guard or Army Reserve) predicts suicide attempts in the total sample. For men, a history of deployment and junior rank are predictors of suicide attempts after adjusting for preenlistment disorders but not accounting for pre- and postenlistment disorders, suggesting that postenlistment disorders account for some of the increased suicide risk among these career characteristics. Overall, these results highlight associations between mental disorders and suicidal behaviors, but underscore limitations predicting which people with ideation attempt suicide. © 2017 The American Association of Suicidology.

Predictive Validity of a Cigarette Purchase Task in a Randomized Controlled Trial of Contingent Vouchers for Smoking in Individuals With Substance Use Disorders

PubMed Central

Mackillop, James; Murphy, Cara M.; Martin, Rosemarie A.; Stojek, Monika; Tidey, Jennifer W.; Colby, Suzanne M.

2016-01-01

Abstract Introduction: A cigarette purchase task (CPT) is a behavioral economic measure of the reinforcing value of smoking in monetary terms (ie, cigarette demand). This study investigated whether cigarette demand predicted response to contingent monetary rewards for abstinence among individuals with substance use disorders. It also sought to replicate evidence for greater price sensitivity at whole-dollar pack price transitions (ie, left-digit effects). Methods: Participants ( N = 338) were individuals in residential substance use disorder treatment who participated in a randomized controlled trial that compared contingent vouchers to noncontingent vouchers for smoking abstinence. Baseline demand indices were used to predict number of abstinent days during the 14-day voucher period (after the reduction lead-in) and at 1 and 3 months afterward. Results: Demand indices correlated with measures of smoking and nicotine dependence. As measured by elasticity, intensity and Omax , higher demand significantly predicted fewer abstinent exhaled carbon monoxide readings during voucher period for individuals in the noncontingent vouchers condition. Breakpoint exhibited a trend-level association with abstinent exhaled carbon monoxide readings. Demand indices did not predict abstinence in the contingent vouchers group, and did not predict abstinence at 1- and 3-month follow-ups. Left-digit price transitions were associated with significantly greater reductions in consumption. Conclusions: The association of cigarette demand with smoking behavior only in the group for whom abstinence was not incentivized indicates that CPT assesses the value of smoking more than the value of money per se and that vouchers counteract the effects of the intrinsic reinforcing value of cigarettes. Results provide initial short-term evidence of predictive validity for the CPT indices. Implications: This study provides the first evidence of the validity of the CPT for predicting early response to brief advice for smoking cessation plus nicotine replacement in smokers with substance dependence. However, demand for cigarettes did not predict voucher-based treatment response, indicating that incentives serve as a powerful motivator not to smoke that acts in opposition to the intrinsic reinforcing value of cigarettes and that the indices reflect the value of smoking more than the value of money per se. PMID:26498173

Pattern destabilization and emotional processing in cognitive therapy for personality disorders.

PubMed

Hayes, Adele M; Yasinski, Carly

2015-01-01

Clinical trials of treatments for personality disorders can provide a medium for studying the process of therapeutic change with particularly entrenched and self-perpetuating systems and might reveal important principles of system transition. We examined the extent to which maladaptive personality patterns were destabilized in a trial of cognitive therapy personality disorders (CT-PD) and how destabilization was associated with emotional processing and treatment outcomes. Dynamic systems theory was used as a theoretical framework for studying change. Participants were 27 patients diagnosed with Avoidant or Obsessive Compulsive Personality Disorder (AVPD or OCPD), who completed an open trial of CT-PD. Raters coded treatment sessions using a coding system that operationalizes emotional processing, as well as cognitive, affective, behavioral, and somatic components of pathological (negative) and more adaptive (positive) patterns of functioning. Pattern destabilization (dispersion) scores during the early phase of treatment (phase 1: session 1-10) and the schema-focused phase (phase 2: session 11-34) were calculated using a program called GridWare. More pattern destabilization and emotional processing in the schema-focused phase of CT-PD predicted more improvement in personality disorder symptoms and positive pattern strength at the end of treatment, whereas these variables in phase 1 did not predict outcome. In addition to illustrating a quantitative method for studying destabilization and change of patterns of psychopathology, we present findings that are consistent with recent updates of emotional processing theory and with principles from dynamic systems theory.

Using patient self-reports to study heterogeneity of treatment effects in major depressive disorder

PubMed Central

Kessler, R.C.; van Loo, H.M.; Wardenaar, K.J.; Bossarte, R.M.; Brenner, L.A.; Ebert, D.D; de Jonge, P.; Nierenberg, A.A.; Rosellini, A.J.; Sampson, N.A.; Schoevers, R.A.; Wilcox, M.A.; Zaslavsky, A.M.

2016-01-01

Aims Clinicians need guidance to address the heterogeneity of treatment responses of patients with major depressive disorder (MDD). While prediction schemes based on symptom clustering and biomarkers have so far not yielded results of sufficient strength to inform clinical decision-making, prediction schemes based on big data predictive analytic models might be more practically useful. Methods We review evidence suggesting that prediction equations based on symptoms and other easily-assessed clinical features found in previous research to predict MDD treatment outcomes might provide a foundation for developing predictive analytic clinical decision support models that could help clinicians select optimal (personalized) MDD treatments. These methods could also be useful in targeting patient subsamples for more expensive biomarker assessments. Results Approximately two dozen baseline variables obtained from medical records or patient reports have been found repeatedly in MDD treatment trials to predict overall treatment outcomes (i.e., intervention versus control) or differential treatment outcomes (i.e., intervention A versus intervention B). Similar evidence has been found in observational studies of MDD persistence-severity. However, no treatment studies have yet attempted to develop treatment outcome equations using the full set of these predictors. Promising preliminary empirical results coupled with recent developments in statistical methodology suggest that models could be developed to provide useful clinical decision support in personalized treatment selection. These tools could also provide a strong foundation to increase statistical power in focused studies of biomarkers and MDD heterogeneity of treatment response in subsequent controlled trials. Conclusions Coordinated efforts are needed to develop a protocol for systematically collecting information about established predictors of heterogeneity of MDD treatment response in large observational treatment studies, applying and refining these models in subsequent pragmatic trials, carrying out pooled secondary analyses to extract the maximum amount of information from these coordinated studies, and using this information to focus future discovery efforts in the segment of the patient population in which continued uncertainty about treatment response exists. PMID:26810628

Evaluation of a Decision Support System for Obstructive Sleep Apnea with Nonlinear Analysis of Respiratory Signals.

PubMed

Kaimakamis, Evangelos; Tsara, Venetia; Bratsas, Charalambos; Sichletidis, Lazaros; Karvounis, Charalambos; Maglaveras, Nikolaos

2016-01-01

Obstructive Sleep Apnea (OSA) is a common sleep disorder requiring the time/money consuming polysomnography for diagnosis. Alternative methods for initial evaluation are sought. Our aim was the prediction of Apnea-Hypopnea Index (AHI) in patients potentially suffering from OSA based on nonlinear analysis of respiratory biosignals during sleep, a method that is related to the pathophysiology of the disorder. Patients referred to a Sleep Unit (135) underwent full polysomnography. Three nonlinear indices (Largest Lyapunov Exponent, Detrended Fluctuation Analysis and Approximate Entropy) extracted from two biosignals (airflow from a nasal cannula, thoracic movement) and one linear derived from Oxygen saturation provided input to a data mining application with contemporary classification algorithms for the creation of predictive models for AHI. A linear regression model presented a correlation coefficient of 0.77 in predicting AHI. With a cutoff value of AHI = 8, the sensitivity and specificity were 93% and 71.4% in discrimination between patients and normal subjects. The decision tree for the discrimination between patients and normal had sensitivity and specificity of 91% and 60%, respectively. Certain obtained nonlinear values correlated significantly with commonly accepted physiological parameters of people suffering from OSA. We developed a predictive model for the presence/severity of OSA using a simple linear equation and additional decision trees with nonlinear features extracted from 3 respiratory recordings. The accuracy of the methodology is high and the findings provide insight to the underlying pathophysiology of the syndrome. Reliable predictions of OSA are possible using linear and nonlinear indices from only 3 respiratory signals during sleep. The proposed models could lead to a better study of the pathophysiology of OSA and facilitate initial evaluation/follow up of suspected patients OSA utilizing a practical low cost methodology. ClinicalTrials.gov NCT01161381.

Energy-loss spectrum for inelastic scattering of charged particles in disordered systems near the critical point

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

Gerasimov, O. I.; Adamian, V. M.

The behavior of the theoretically predicted correlational ''fine''energy-loss spectrum of inelastic electron scattering in disordered systemsclose to single resonance is investigated near the critical point. In extendingour earlier work, it is shown that the relation of the statistical expressionof the cross section of energy loss to the function which describes the lineshape in an ideal gas asymptotically increases near the critical point as apower law. ''Fracton'' interpretation of display of the localization of asingle excitation in disordered systems in the resonance-line shape of theenergy-loss spectrum is suggested. The possibility of direct determination ofthe pair distribution function (without Fourier transformation ofmore » the structurefactor) using the method of charged-particle scattering is discussed.« less

The effect of magnification lenses on reducing musculoskeletal discomfort among dentists.

PubMed

Aghilinejad, Mashallah; Kabir-Mokamelkhah, Elaheh; Talebi, Atefeh; Soleimani, Roghayeh; Dehghan, Naser

2016-01-01

Background: Work-related musculoskeletal disorders are the most important problems in the health workforce. These discomforts cause many working days losses, increase absenteeism from work, and impose annual economic costs. Awkward posture is the most important factor among the risk factors for work-related musculoskeletal disorders. This study aimed at implementing an interventional ergonomic program to minimize musculoskeletal disorder among dentists. Methods: This semi- experimental study was conducted on 75 dentists of Milad hospital using a census method. The Nordic Questionnaire was used to determine the prevalence of musculoskeletal disorders. In this study, the intervention was to apply optical magnification lens whose impact on reducing musculoskeletal disorder had been previously investigated. Corlett and Bishop Scale was used to evaluate musculoskeletal disorders before and after the intervention. Paired t-test was conducted to compare the discomfort intensity before and after the intervention. Results: The results revealed that the prevalence of musculoskeletal disorders in neck, back, shoulder, and arm were higher than other areas of the body in dentists. There was a significant difference in discomfort intensity of the neck, shoulder, arm, back, elbow, forearm, and the whole body after the ergonomic intervention (p<0.05). Surveys on improving working conditions using the magnification lens revealed that more than 89% of the individuals expressed that the use of the lens increased the ease while working. Conclusion: The present study revealed that the use of optical magnification loupes, because of providing a suitable posture while working, could reduce musculoskeletal disorders in different areas of the body. Thus, we can predict that the prevalence of musculoskeletal disorders will be reduced in dentists in a long run if they use optical magnification loupes.

The unfoldomics decade: an update on intrinsically disordered proteins.

PubMed

Dunker, A Keith; Oldfield, Christopher J; Meng, Jingwei; Romero, Pedro; Yang, Jack Y; Chen, Jessica Walton; Vacic, Vladimir; Obradovic, Zoran; Uversky, Vladimir N

2008-09-16

Our first predictor of protein disorder was published just over a decade ago in the Proceedings of the IEEE International Conference on Neural Networks (Romero P, Obradovic Z, Kissinger C, Villafranca JE, Dunker AK (1997) Identifying disordered regions in proteins from amino acid sequence. Proceedings of the IEEE International Conference on Neural Networks, 1: 90-95). By now more than twenty other laboratory groups have joined the efforts to improve the prediction of protein disorder. While the various prediction methodologies used for protein intrinsic disorder resemble those methodologies used for secondary structure prediction, the two types of structures are entirely different. For example, the two structural classes have very different dynamic properties, with the irregular secondary structure class being much less mobile than the disorder class. The prediction of secondary structure has been useful. On the other hand, the prediction of intrinsic disorder has been revolutionary, leading to major modifications of the more than 100 year-old views relating protein structure and function. Experimentalists have been providing evidence over many decades that some proteins lack fixed structure or are disordered (or unfolded) under physiological conditions. In addition, experimentalists are also showing that, for many proteins, their functions depend on the unstructured rather than structured state; such results are in marked contrast to the greater than hundred year old views such as the lock and key hypothesis. Despite extensive data on many important examples, including disease-associated proteins, the importance of disorder for protein function has been largely ignored. Indeed, to our knowledge, current biochemistry books don't present even one acknowledged example of a disorder-dependent function, even though some reports of disorder-dependent functions are more than 50 years old. The results from genome-wide predictions of intrinsic disorder and the results from other bioinformatics studies of intrinsic disorder are demanding attention for these proteins. Disorder prediction has been important for showing that the relatively few experimentally characterized examples are members of a very large collection of related disordered proteins that are wide-spread over all three domains of life. Many significant biological functions are now known to depend directly on, or are importantly associated with, the unfolded or partially folded state. Here our goal is to review the key discoveries and to weave these discoveries together to support novel approaches for understanding sequence-function relationships. Intrinsically disordered protein is common across the three domains of life, but especially common among the eukaryotic proteomes. Signaling sequences and sites of posttranslational modifications are frequently, or very likely most often, located within regions of intrinsic disorder. Disorder-to-order transitions are coupled with the adoption of different structures with different partners. Also, the flexibility of intrinsic disorder helps different disordered regions to bind to a common binding site on a common partner. Such capacity for binding diversity plays important roles in both protein-protein interaction networks and likely also in gene regulation networks. Such disorder-based signaling is further modulated in multicellular eukaryotes by alternative splicing, for which such splicing events map to regions of disorder much more often than to regions of structure. Associating alternative splicing with disorder rather than structure alleviates theoretical and experimentally observed problems associated with the folding of different length, isomeric amino acid sequences. The combination of disorder and alternative splicing is proposed to provide a mechanism for easily "trying out" different signaling pathways, thereby providing the mechanism for generating signaling diversity and enabling the evolution of cell differentiation and multicellularity. Finally, several recent small molecules of interest as potential drugs have been shown to act by blocking protein-protein interactions based on intrinsic disorder of one of the partners. Study of these examples has led to a new approach for drug discovery, and bioinformatics analysis of the human proteome suggests that various disease-associated proteins are very rich in such disorder-based drug discovery targets.

Depressed parents' attachment: effects on offspring suicidal behavior in a longitudinal, family study

PubMed Central

MacGregor, Erica K.; Grunebaum, Michael F.; Galfalvy, Hanga C.; Melhem, Nadine; Burke, Ainsley K.; Brent, David A.; Oquendo, Maria A.; Mann, J. John

2015-01-01

Objective To investigate relationships of depressed parents' attachment style to offspring suicidal behavior. Method 244 parents diagnosed with a DSM-IV depressive episode completed the Adult Attachment Questionnaire at study entry. Baseline and yearly follow-up interviews of their 488 offspring tracked suicidal behavior and psychopathology. Survival analysis and marginal regression models with correlated errors for siblings investigated the relationship between parent insecure attachment traits and offspring characteristics. Data analyzed were collected 1992–2008 during a longitudinal family study completed January 31, 2014. Results Parent avoidant attachment predicted offspring suicide attempts at a trend level (p=0.083). Parent anxious attachment did not predict offspring attempts (p=0.961). In secondary analyses, anxious attachment in parents was associated with offspring impulsivity (p=0.034), and in offspring suicide attempters, was associated with greater intent (p=0.045) and lethality of attempts (p=0.003). Avoidant attachment in parents was associated with offspring impulsivity (p=0.025) and major depressive disorder (p=0.012). Parent avoidant attachment predicted a greater number of suicide attempts (p=0.048) and greater intent in offspring attempters (p=0.003). Results were comparable after adjusting for parent diagnosis of borderline personality disorder. Conclusion Insecure avoidant, but not anxious, attachment in depressed parents may predict offspring suicide attempt. Insecure parent attachment traits were associated with impulsivity and major depressive disorder in all offspring, and with more severe suicidal behavior in offspring attempters. Insecure parental attachment merits further study as a potential target to reduce risk of offspring psychopathology and more severe suicidal behavior. PMID:25098943

Delinquency, Aggression, and Attention-Related Problem Behaviors Differentially Predict Adolescent Substance Use in Individuals Diagnosed with ADHD

PubMed Central

Harty, Seth C.; Galanopoulos, Stavroula; Newcorn, Jeffrey H.; Halperin, Jeffrey M.

2013-01-01

Objective To measure the degree to which childhood and adolescent ratings of aggression, attention, and delinquency are related to adolescent substance use outcomes in youth diagnosed with Attention-deficit/Hyperactivity Disorder (ADHD). Background Childhood externalizing disorders have been shown to predict adolescent maladaptive substance use, but few studies have examined the differential predictive utility of two distinct dimensions of externalizing behavior; aggression and delinquency. Methods Ninety-seven clinically referred children with ADHD initially took part in this research protocol when they were on average 9.05 years of age, and were seen again on average 9.30 years later. Participants’ parents were administered the Child Behavior Checklist (CBCL) at baseline and follow-up, and youth completed the Youth Self Report (YSR) in adolescence. At follow-up, substance use severity and diagnosis were assessed using semi-structured psychiatric interviews administered separately to parents and adolescents. Linear and binary logistic regressions were used to determine the association of CBCL- and YSR-rated attention problems, aggression and delinquency to adolescent substance use. Results Childhood and adolescent delinquency, but not aggression, as rated by parents and youths, predicted adolescent substance use disorders (SUD) and substance use severity (all p <.05). After accounting for the associations of delinquency and aggression with adolescent substance use, ratings of attention problems in childhood and adolescence were negatively associated with substance use outcome. Conclusions Children with ADHD who exhibit high rates of delinquency are at risk for later substance and may require targeted prevention, intervention, and follow-up services. PMID:24131161

Alcohol Use Disorders and Risk Factor Interactions for Adolescent Suicidal Ideation and Attempts.

ERIC Educational Resources Information Center

Kelly, Thomas M.; Lynch, Kevin G.; Donovan, John E.; Clark, Duncan B.

2001-01-01

Adolescents diagnosed with at least one mental disorder were studied to determine predictors of suicidal ideation and suicide attempts. Major depression was predictive of suicidal ideation and attempts for both genders. Chronic stress was found predictive of male suicidal ideations, while low self esteem and family dysfunction were predictive in…

Parental social anxiety disorder prospectively predicts toddlers' fear/avoidance in a social referencing paradigm.

PubMed

Aktar, Evin; Majdandžić, Mirjana; de Vente, Wieke; Bögels, Susan M

2014-01-01

Anxiety runs in families. Observational learning of anxious behavior from parents with anxiety disorders plays an important role in the intergenerational transmission of anxiety. We investigated the link between parental anxiety (parental lifetime anxiety disorders and expressed parental anxiety) and toddler fear/avoidance during social referencing (SR) situations. Toddlers (N = 117) participated with both parents (with lifetime social anxiety disorder, other nonsocial anxiety disorders, lifetime comorbid social and other anxiety disorders, or without anxiety disorders) in a longitudinal study. Behavioral inhibition (BI) was measured at 12 months via observational tasks. At 30 months, children were confronted with a stranger and a remote-control robot in SR situations, separately with each parent. Children's fear and avoidance, and parents' expressions of anxiety, encouragement, and overcontrol were observed. Toddlers of parents with lifetime social anxiety disorder (alone and comorbid with other anxiety disorders) showed more fear/avoidance in SR situations than toddlers of parents without anxiety disorders, while the effect of other anxiety disorders alone was not significant. Although expressed parental anxiety at 30 months in SR situations did not significantly predict toddlers' fear/avoidance, higher levels of expressed anxiety at 12 months in SR situations by parents with comorbid social and other anxiety disorders predicted higher levels of fear/avoidance. BI at 12 months predicted toddlers' fear/avoidance only with mothers, but not with fathers. Parental lifetime social anxiety disorders may be a stronger predictor of children's fear/avoidance than parents' expressions of anxiety in SR situations in toddlerhood. End of infancy may be a sensitive time for learning of anxiety from parents with comorbid lifetime social and nonsocial anxiety disorders in SR situations. Fathers are as important as mothers in the transmission of anxiety via SR. Furthermore, children may act relatively free of their early temperament in SR situations with fathers. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Anxiety Sensitivity Mediates Relations between Emotional Disorders and Smoking

PubMed Central

Zvolensky, Michael J.; Farris, Samantha G.; Leventhal, Adam; Schmidt, Norman B.

2014-01-01

Objectives Research has documented consistent and robust relations between emotional disorders (i.e., depressive and anxiety disorders) and smoking. Yet, it is presently unclear whether anxiety sensitivity, the fear of aversive internal anxiety states, may account for the relations between emotional disorders and various smoking processes, including nicotine dependence, perceived barriers to smoking cessation, and severity of problematic symptoms while quitting during past cessation attempts. Method Participants (n = 465) were treatment-seeking daily tobacco smokers recruited as part of a larger tobacco cessation study. Baseline (pre-treatment) data were utilized. Emotional disorders were assessed via clinical diagnostic interview; self-report measures were used to assess anxiety sensitivity and three criterion variables: nicotine dependence, barriers to smoking cessation, and severity of problematic symptoms while quitting in past attempts. Results Emotional disorders were predictive of higher levels of nicotine dependence, greater perceived barriers to cessation, and greater severity of problematic symptoms while quitting in past attempts; each of these relations were accounted for by the indirect effect of anxiety sensitivity. Discussion The present findings suggest that anxiety sensitivity may be an important transdiagnostic construct in explicating the nature of the relations between emotional disorders and various smoking processes. PMID:25222178

Utilization of protein intrinsic disorder knowledge in structural proteomics

PubMed Central

Oldfield, Christopher J.; Xue, Bin; Van, Ya-Yue; Ulrich, Eldon L.; Markley, John L.; Dunker, A. Keith; Uversky, Vladimir N.

2014-01-01

Intrinsically disordered proteins (IDPs) and proteins with long disordered regions are highly abundant in various proteomes. Despite their lack of well-defined ordered structure, these proteins and regions are frequently involved in crucial biological processes. Although in recent years these proteins have attracted the attention of many researchers, IDPs represent a significant challenge for structural characterization since these proteins can impact many of the processes in the structure determination pipeline. Here we investigate the effects of IDPs on the structure determination process and the utility of disorder prediction in selecting and improving proteins for structural characterization. Examination of the extent of intrinsic disorder in existing crystal structures found that relatively few protein crystal structures contain extensive regions of intrinsic disorder. Although intrinsic disorder is not the only cause of crystallization failures and many structured proteins cannot be crystallized, filtering out highly disordered proteins from structure-determination target lists is still likely to be cost effective. Therefore it is desirable to avoid highly disordered proteins from structure-determination target lists and we show that disorder prediction can be applied effectively to enrich structure determination pipelines with proteins more likely to yield crystal structures. For structural investigation of specific proteins, disorder prediction can be used to improve targets for structure determination. Finally, a framework for considering intrinsic disorder in the structure determination pipeline is proposed. PMID:23232152

Distinct responses to predictable and unpredictable threat in anxiety pathologies: effect of panic attack.

PubMed

Grillon, Christian; O'Connell, Katherine; Lieberman, Lynne; Alvarez, Gabriella; Geraci, Marilla; Pine, Daniel S; Ernst, Monique

2017-10-01

Delineating specific clinical phenotypes of anxiety disorders is a crucial step toward better classification and understanding of these conditions. The present study sought to identify differential aversive responses to predictable and unpredictable threat of shock in healthy comparisons and in non-medicated anxiety patients with and without a history of panic attacks (PAs). 143 adults (72 healthy controls; 71 patients with generalized anxiety disorder (GAD) or/and social anxiety disorder (SAD), 24 with and 47 without PAs) were exposed to three conditions: 1) predictable shocks signaled by a cue, 2) unpredictable shocks, and 3) no shock. Startle magnitude was used to assess aversive responses. Across disorders, a PA history was specifically associated with hypersensitivity to unpredictable threat. By disorder, SAD was associated with hypersensitivity to predictable threat, whereas GAD was associated with exaggerated baseline startle. These results identified three physiological patterns. The first is hypersensitivity to unpredictable threat in individuals with PAs. The second is hypersensitivity to predictable threat, which characterizes SAD. The third is enhanced baseline startle in GAD, which may reflect propensity for self-generated anxious thoughts in the absence of imminent danger. These results inform current thinking by linking specific clinical features to particular physiology profiles.

Childhood adversities and adult psychopathology in the National Comorbidity Survey Replication (NCS-R) III: associations with functional impairment related to DSM-IV disorders.

PubMed

McLaughlin, K A; Green, J G; Gruber, M J; Sampson, N A; Zaslavsky, A M; Kessler, R C

2010-05-01

Despite evidence that childhood adversities (CAs) are associated with increased risk of mental disorders, little is known about their associations with disorder-related impairment. We report the associations between CAs and functional impairment associated with 12-month DSM-IV disorders in a national sample. We used data from the US National Comorbidity Survey Replication (NCS-R). Respondents completed diagnostic interviews that assessed 12-month DSM-IV disorder prevalence and impairment. Associations of 12 retrospectively reported CAs with impairment among cases (n=2242) were assessed using multiple regression analysis. Impairment measures included a dichotomous measure of classification in the severe range of impairment on the Sheehan Disability Scale (SDS) and a measure of self-reported number of days out of role due to emotional problems in the past 12 months. CAs were positively and significantly associated with impairment. Predictive effects of CAs on the SDS were particularly pronounced for anxiety disorders and were significant in predicting increased days out of role associated with mood, anxiety and disruptive behavior disorders. Predictive effects persisted throughout the life course and were not accounted for by disorder co-morbidity. CAs associated with maladaptive family functioning (MFF; parental mental illness, substance disorder, criminality, family violence, abuse, neglect) were more consistently associated with impairment than other CAs. The joint effects of co-morbid MFF CAs were significantly subadditive. Simulations suggest that CAs account for 19.6% of severely impairing disorders and 17.4% of days out of role. CAs predict greater disorder-related impairment, highlighting the ongoing clinical significance of CAs at every stage of the life course.

Risk Assessment for Parents Who Suspect Their Child Has Autism Spectrum Disorder: Machine Learning Approach.

PubMed

Ben-Sasson, Ayelet; Robins, Diana L; Yom-Tov, Elad

2018-04-24

Parents are likely to seek Web-based communities to verify their suspicions of autism spectrum disorder markers in their child. Automated tools support human decisions in many domains and could therefore potentially support concerned parents. The objective of this study was to test the feasibility of assessing autism spectrum disorder risk in parental concerns from Web-based sources, using automated text analysis tools and minimal standard questioning. Participants were 115 parents with concerns regarding their child's social-communication development. Children were 16- to 30-months old, and 57.4% (66/115) had a family history of autism spectrum disorder. Parents reported their concerns online, and completed an autism spectrum disorder-specific screener, the Modified Checklist for Autism in Toddlers-Revised, with Follow-up (M-CHAT-R/F), and a broad developmental screener, the Ages and Stages Questionnaire (ASQ). An algorithm predicted autism spectrum disorder risk using a combination of the parent's text and a single screening question, selected by the algorithm to enhance prediction accuracy. Screening measures identified 58% (67/115) to 88% (101/115) of children at risk for autism spectrum disorder. Children with a family history of autism spectrum disorder were 3 times more likely to show autism spectrum disorder risk on screening measures. The prediction of a child's risk on the ASQ or M-CHAT-R was significantly more accurate when predicted from text combined with an M-CHAT-R question selected (automatically) than from the text alone. The frequently automatically selected M-CHAT-R questions that predicted risk were: following a point, make-believe play, and concern about deafness. The internet can be harnessed to prescreen for autism spectrum disorder using parental concerns by administering a few standardized screening questions to augment this process. ©Ayelet Ben-Sasson, Diana L Robins, Elad Yom-Tov. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 24.04.2018.

[Lack of assertiveness in patients with eating disorders].

PubMed

Behar A, Rosa; Manzo G, Rodrigo; Casanova Z, Dunny

2006-03-01

Low self-assertion has been noted as an important feature among patients with eating disorders. To verify, in a female population, if assertiveness is related or has a predictive capacity for the development of eating disorders. An structured clinical interview, the Eating Attitudes Test (EAT-40) and the Rathus Assertiveness Scale (RAS) were administered to 62 patients that fulfilled the DSM-IV diagnostic criteria for eating disorders and to 120 female students without eating problems. Patients with eating disorders ranked significantly higher on the EAT-40 and its factors (p <0.001) and showed a lower level of assertiveness on the RAS (p <0.001). Assertiveness measured by RAS and its factors was inversely related to EAT-40 and its items (r= -0.21). The predictive capability of the lack of self-assertion in the development of an eating disorder reached 53%, when patients with eating disorders and subjects at risk were considered together and compared to students without such disorder. Lack of assertiveness is a significant trait in patients with eating disorders; it may worsen its outcome and even perpetuate symptoms. Low self-assertion may be considered a predictive factor in the development of an eating disorder and must be managed from a preventive or therapeutic point of view.

A wavelet-based technique to predict treatment outcome for Major Depressive Disorder.

PubMed

Mumtaz, Wajid; Xia, Likun; Mohd Yasin, Mohd Azhar; Azhar Ali, Syed Saad; Malik, Aamir Saeed

2017-01-01

Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant's treatment outcome may help during antidepressant's selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant's treatment outcome for the MDD patients.

Early Response to treatment in Eating Disorders: A Systematic Review and a Diagnostic Test Accuracy Meta-Analysis.

PubMed

Nazar, Bruno Palazzo; Gregor, Louise Kathrine; Albano, Gaia; Marchica, Angelo; Coco, Gianluca Lo; Cardi, Valentina; Treasure, Janet

2017-03-01

Early response to eating disorders treatment is thought to predict a later favourable outcome. A systematic review of the literature and meta-analyses examined the robustness of this concept. The criteria used across studies to define early response were summarised following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Diagnostic Test Accuracy methodology was used to estimate the size of the effect. Findings from 24 studies were synthesized and data from 14 studies were included in the meta-analysis. In Anorexia Nervosa, the odds ratio of early response predicting remission was 4.85(95%CI: 2.94-8.01) and the summary Area Under the Curve (AUC) = .77. In Bulimia Nervosa, the odds ratio was 2.75(95%CI:1.24-6.09) and AUC = .67. For Binge Eating Disorder, the odds ratio was 5.01(95%CI: 3.38-7.42) and AUC = .71. Early behaviour change accurately predicts later symptom remission for Anorexia Nervosa and Binge Eating Disorder but there is less predictive accuracy for Bulimia Nervosa. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association. Copyright © 2016 John Wiley & Sons, Ltd and Eating Disorders Association.

Lay perceptions of predictive testing for diabetes based on DNA test results versus family history assessment: a focus group study.

PubMed

Wijdenes-Pijl, Miranda; Dondorp, Wybo J; Timmermans, Danielle Rm; Cornel, Martina C; Henneman, Lidewij

2011-07-05

This study assessed lay perceptions of issues related to predictive genetic testing for multifactorial diseases. These perceived issues may differ from the "classic" issues, e.g. autonomy, discrimination, and psychological harm that are considered important in predictive testing for monogenic disorders. In this study, type 2 diabetes was used as an example, and perceptions with regard to predictive testing based on DNA test results and family history assessment were compared. Eight focus group interviews were held with 45 individuals aged 35-70 years with (n = 3) and without (n = 1) a family history of diabetes, mixed groups of these two (n = 2), and diabetes patients (n = 2). All interviews were transcribed and analysed using Atlas-ti. Most participants believed in the ability of a predictive test to identify people at risk for diabetes and to motivate preventive behaviour. Different reasons underlying motivation were considered when comparing DNA test results and a family history risk assessment. A perceived drawback of DNA testing was that diabetes was considered not severe enough for this type of risk assessment. In addition, diabetes family history assessment was not considered useful by some participants, since there are also other risk factors involved, not everyone has a diabetes family history or knows their family history, and it might have a negative influence on family relations. Respect for autonomy of individuals was emphasized more with regard to DNA testing than family history assessment. Other issues such as psychological harm, discrimination, and privacy were only briefly mentioned for both tests. The results suggest that most participants believe a predictive genetic test could be used in the prevention of multifactorial disorders, such as diabetes, but indicate points to consider before both these tests are applied. These considerations differ with regard to the method of assessment (DNA test or obtaining family history) and also differ from monogenic disorders.

School Contextual Features of Social Disorder and Mental Health Complaints—A Multilevel Analysis of Swedish Sixth-Grade Students

PubMed Central

Modin, Bitte; Plenty, Stephanie; Låftman, Sara B.; Bergström, Malin; Berlin, Marie; Hjern, Anders

2018-01-01

This study addressed school-contextual features of social disorder in relation to sixth-grade students’ experiences of bullying victimization and mental health complaints. It investigated, firstly, whether the school’s concentrations of behavioural problems were associated with individual students’ likelihood of being bullied, and secondly, whether the school’s concentrations of behavioural problems and bullying victimization predicted students’ emotional and psychosomatic health complaints. The data were derived from the Swedish National Survey of Mental Health among Children and Young People, carried out among sixth-grade students (approximately 12–13 years old) in Sweden in 2009. The analyses were based on information from 59,510 students distributed across 1999 schools. The statistical method used was multilevel modelling. While students’ own behavioural problems were associated with an elevated risk of being bullied, attending a school with a higher concentration of students with behavioural problems also increased the likelihood of being bullied. Attending a school with higher levels of bullying victimization and behavioural problems predicted more emotional and psychosomatic complaints, even when adjusting for their individual level analogues. The findings indicate that school-level features of social disorder influence bullying victimization and mental health complaints among students. PMID:29351244

The Limited Effects of Obstetrical and Neonatal Complications on Conduct and ADHD Symptoms in Middle Childhood

PubMed Central

Wagner, Anna I.; Schmidt, Nicole L.; Lemery-Chalfant, Kathryn; Leavitt, Lewis A.; Goldsmith, H. Hill

2016-01-01

Objective The purpose of this study was to examine the effects of a wide range of obstetrical and neonatal complications as well as socioeconomic variables on the behaviors characterized by attention deficit hyperactivity disorder (ADHD), conduct disorder (CD) and oppositional defiant disorder (ODD). Method Data were collected on 7–8 year old twins, using multiple instruments assessing many areas of individual and family functioning. The influence of several aspects of prenatal care, labor and delivery, and early life were considered as well as indicators of socioeconomic status such as family income and maternal education. Results The observed associations were stronger for ADHD than CD symptoms and stronger for females than males. Family income and gender significantly predicted both behavioral outcomes, while birthweight predicted ADHD symptoms only. However, the presence of ADHD and conduct symptom behaviors were not associated with an occurrence of more obstetrical or neonatal complications as indicated by hierarchical linear modeling (HLM) analyses. Conclusions By school age, behavioral problems related to inattention, impulsivity, hyperactivity, defiance, and conduct are relatively unaffected by general adversity in the neonatal and perinatal periods. PMID:19433988

The Epidemiology and Associated Phenomenology of Formal Thought Disorder: A Systematic Review

PubMed Central

Roche, Eric; Creed, Lisa; MacMahon, Donagh; Brennan, Daria; Clarke, Mary

2015-01-01

Background: Authors of the Diagnostic and Statistical Manual, Fifth Edition (DSM-V) have recommended to “integrate dimensions into clinical practice.” The epidemiology and associated phenomenology of formal thought disorder (FTD) have been described but not reviewed. We aimed to carry out a systematic review of FTD to this end. Methods: A systematic review of FTD literature, from 1978 to 2013, using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Results: A total of 881 abstracts were reviewed and 120 articles met inclusion criteria; articles describing FTD factor structure (n = 15), prevalence and longitudinal course (n = 41), role in diagnosis (n = 22), associated clinical variables (n = 56), and influence on outcome (n = 35) were included. Prevalence estimates for FTD in psychosis range from 5% to 91%. Dividing FTD into domains, by factor analysis, can accurately identify 91% of psychotic diagnoses. FTD is associated with increased clinical severity. Poorer outcomes are predicted by negative thought disorder, more so than the typical construct of “disorganized speech.” Conclusion: FTD is a common symptom of psychosis and may be considered a marker of illness severity. Detailed dimensional assessment of FTD can clarify diagnosis and may help predict prognosis. PMID:25180313

Defining Treatment Response and Remission in Child Anxiety: Signal Detection Analysis Using the Pediatric Anxiety Rating Scale

ERIC Educational Resources Information Center

Caporino, Nicole E.; Brodman, Douglas M.; Kendall, Philip C.; Albano, Anne Marie; Sherrill, Joel; Piacentini, John; Sakolsky, Dara; Birmaher, Boris; Compton, Scott N.; Ginsburg, Golda; Rynn, Moira; McCracken, James; Gosch, Elizabeth; Keeton, Courtney; March, John; Walkup, John T.

2013-01-01

Objective: To determine optimal Pediatric Anxiety Rating Scale (PARS) percent reduction and raw score cut-offs for predicting treatment response and remission among children and adolescents with anxiety disorders. Method: Data were from a subset of youth (N = 438; 7-17 years of age) who participated in the Child/Adolescent Anxiety Multimodal Study…

Discovery of serum biomarkers predicting development of a subsequent depressive episode in social anxiety disorder.

PubMed

Gottschalk, M G; Cooper, J D; Chan, M K; Bot, M; Penninx, B W J H; Bahn, S

2015-08-01

Although social anxiety disorder (SAD) is strongly associated with the subsequent development of a depressive disorder (major depressive disorder or dysthymia), no underlying biological risk factors are known. We aimed to identify biomarkers which predict depressive episodes in SAD patients over a 2-year follow-up period. One hundred sixty-five multiplexed immunoassay analytes were investigated in blood serum of 143 SAD patients without co-morbid depressive disorders, recruited within the Netherlands Study of Depression and Anxiety (NESDA). Predictive performance of identified biomarkers, clinical variables and self-report inventories was assessed using receiver operating characteristics curves (ROC) and represented by the area under the ROC curve (AUC). Stepwise logistic regression resulted in the selection of four serum analytes (AXL receptor tyrosine kinase, vascular cell adhesion molecule 1, vitronectin, collagen IV) and four additional variables (Inventory of Depressive Symptomatology, Beck Anxiety Inventory somatic subscale, depressive disorder lifetime diagnosis, BMI) as optimal set of patient parameters. When combined, an AUC of 0.86 was achieved for the identification of SAD individuals who later developed a depressive disorder. Throughout our analyses, biomarkers yielded superior discriminative performance compared to clinical variables and self-report inventories alone. We report the discovery of a serum marker panel with good predictive performance to identify SAD individuals prone to develop subsequent depressive episodes in a naturalistic cohort design. Furthermore, we emphasise the importance to combine biological markers, clinical variables and self-report inventories for disease course predictions in psychiatry. Following replication in independent cohorts, validated biomarkers could help to identify SAD patients at risk of developing a depressive disorder, thus facilitating early intervention. Copyright © 2015 Elsevier Inc. All rights reserved.

Serum biomarkers predictive of depressive episodes in panic disorder.

PubMed

Gottschalk, M G; Cooper, J D; Chan, M K; Bot, M; Penninx, B W J H; Bahn, S

2016-02-01

Panic disorder with or without comorbid agoraphobia (PD/PDA) has been linked to an increased risk to develop subsequent depressive episodes, yet the underlying pathophysiology of these disorders remains poorly understood. We aimed to identify a biomarker panel predictive for the development of a depressive disorder (major depressive disorder and/or dysthymia) within a 2-year-follow-up period. Blood serum concentrations of 165 analytes were evaluated in 120 PD/PDA patients without depressive disorder baseline diagnosis (6-month-recency) in the Netherlands Study of Depression and Anxiety (NESDA). We assessed the predictive performance of serum biomarkers, clinical, and self-report variables using receiver operating characteristics curves (ROC) and the area under the ROC curve (AUC). False-discovery-rate corrected logistic regression model selection of serum analytes and covariates identified an optimal predictive panel comprised of tetranectin and creatine kinase MB along with patient gender and scores from the Inventory of Depressive Symptomatology (IDS) rating scale. Combined, an AUC of 0.87 was reached for identifying the PD/PDA patients who developed a depressive disorder within 2 years (n = 44). The addition of biomarkers represented a significant (p = 0.010) improvement over using gender and IDS alone as predictors (AUC = 0.78). For the first time, we report on a combination of biological serum markers, clinical variables and self-report inventories that can detect PD/PDA patients at increased risk of developing subsequent depressive disorders with good predictive performance in a naturalistic cohort design. After an independent validation our proposed biomarkers could prove useful in the detection of at-risk PD/PDA patients, allowing for early therapeutic interventions and improving clinical outcome. Copyright © 2015 Elsevier Ltd. All rights reserved.

Development and validation of a prediction algorithm for the onset of common mental disorders in a working population.

PubMed

Fernandez, Ana; Salvador-Carulla, Luis; Choi, Isabella; Calvo, Rafael; Harvey, Samuel B; Glozier, Nicholas

2018-01-01

Common mental disorders are the most common reason for long-term sickness absence in most developed countries. Prediction algorithms for the onset of common mental disorders may help target indicated work-based prevention interventions. We aimed to develop and validate a risk algorithm to predict the onset of common mental disorders at 12 months in a working population. We conducted a secondary analysis of the Household, Income and Labour Dynamics in Australia Survey, a longitudinal, nationally representative household panel in Australia. Data from the 6189 working participants who did not meet the criteria for a common mental disorders at baseline were non-randomly split into training and validation databases, based on state of residence. Common mental disorders were assessed with the mental component score of 36-Item Short Form Health Survey questionnaire (score ⩽45). Risk algorithms were constructed following recommendations made by the Transparent Reporting of a multivariable prediction model for Prevention Or Diagnosis statement. Different risk factors were identified among women and men for the final risk algorithms. In the training data, the model for women had a C-index of 0.73 and effect size (Hedges' g) of 0.91. In men, the C-index was 0.76 and the effect size was 1.06. In the validation data, the C-index was 0.66 for women and 0.73 for men, with positive predictive values of 0.28 and 0.26, respectively Conclusion: It is possible to develop an algorithm with good discrimination for the onset identifying overall and modifiable risks of common mental disorders among working men. Such models have the potential to change the way that prevention of common mental disorders at the workplace is conducted, but different models may be required for women.

Self-mutilation and suicide attempts: relationships to bipolar disorder, borderline personality disorder, temperament and character.

PubMed

Joyce, Peter R; Light, Katrina J; Rowe, Sarah L; Cloninger, C Robert; Kennedy, Martin A

2010-03-01

Self-mutilation has traditionally been associated with borderline personality disorder, and seldom examined separately from suicide attempts. Clinical experience suggests that self-mutilation is common in bipolar disorder. A family study was conducted on the molecular genetics of depression and personality, in which the proband had been treated for depression. All probands and parents or siblings were interviewed with a structured interview and completed the Temperament and Character Inventory. Fourteen per cent of subjects interviewed reported a history of self-mutilation, mostly by wrist cutting. Self-mutilation was more common in bipolar I disorder subjects then in any other diagnostic groups. In multiple logistic regression self-mutilation was predicted by mood disorder diagnosis and harm avoidance, but not by borderline personality disorder. Furthermore, the relatives of non-bipolar depressed probands with self-mutilation had higher rates of bipolar I or II disorder and higher rates of self-mutilation. Sixteen per cent of subjects reported suicide attempts and these were most common in those with bipolar I disorder and in those with borderline personality disorder. On multiple logistic regression, however, only mood disorder diagnosis and harm avoidance predicted suicide attempts. Suicide attempts, unlike self-mutilation, were not familial. Self-mutilation and suicide attempts are only partially overlapping behaviours, although both are predicted by mood disorder diagnosis and harm avoidance. Self-mutilation has a particularly strong association with bipolar disorder. Clinicians need to think of bipolar disorder, not borderline personality disorder, when assessing an individual who has a history of self-mutilation.

Consciousness Indexing and Outcome Prediction with Resting-State EEG in Severe Disorders of Consciousness.

PubMed

Stefan, Sabina; Schorr, Barbara; Lopez-Rolon, Alex; Kolassa, Iris-Tatjana; Shock, Jonathan P; Rosenfelder, Martin; Heck, Suzette; Bender, Andreas

2018-04-17

We applied the following methods to resting-state EEG data from patients with disorders of consciousness (DOC) for consciousness indexing and outcome prediction: microstates, entropy (i.e. approximate, permutation), power in alpha and delta frequency bands, and connectivity (i.e. weighted symbolic mutual information, symbolic transfer entropy, complex network analysis). Patients with unresponsive wakefulness syndrome (UWS) and patients in a minimally conscious state (MCS) were classified into these two categories by fitting and testing a generalised linear model. We aimed subsequently to develop an automated system for outcome prediction in severe DOC by selecting an optimal subset of features using sequential floating forward selection (SFFS). The two outcome categories were defined as UWS or dead, and MCS or emerged from MCS. Percentage of time spent in microstate D in the alpha frequency band performed best at distinguishing MCS from UWS patients. The average clustering coefficient obtained from thresholding beta coherence performed best at predicting outcome. The optimal subset of features selected with SFFS consisted of the frequency of microstate A in the 2-20 Hz frequency band, path length obtained from thresholding alpha coherence, and average path length obtained from thresholding alpha coherence. Combining these features seemed to afford high prediction power. Python and MATLAB toolboxes for the above calculations are freely available under the GNU public license for non-commercial use ( https://qeeg.wordpress.com ).

Diagnostic efficiency of DSM-IV criteria for obsessive compulsive personality disorder in patients with binge eating disorder.

PubMed

Grilo, C M

2004-01-01

This study examined the diagnostic efficiency of the DSM-IV criteria for obsessive compulsive personality disorder (OCPD) in patients with binge eating disorder (BED). Two hundred and eleven consecutive adult patients with axis I diagnoses of BED were reliably assessed with semi-structured diagnostic interviews. Conditional probabilities-sensitivity, specificity, positive predictive power (PPP), and negative predictive power (NPP)-were calculated for each of the eight criteria for OCPD, using the 'best-estimate' OCPD diagnosis as the standard. The diagnostic efficiencies of the OCPD criteria were variable, with three criteria failing to have predictive value (PPP<0.50). The best inclusion criterion (highest PPP) was 'Perfectionism,' which was also the overall most predictive criterion. The findings suggest ordering of the DSM-IV criteria for OCPD based on performance and call into question the utility of some criteria.

Association between parental psychopathology and suicidal behavior among adult offspring: results from the cross-sectional South African Stress and Health survey

PubMed Central

2014-01-01

Background Prior studies have demonstrated a link between parental psychopathology and offspring suicidal behavior. However, it remains unclear what aspects of suicidal behavior among adult offspring are predicted by specific parental mental disorders, especially in Africa. This study set out to investigate the association between parental psychopathology and suicidal behavior among their adult offspring in a South African general population sample. Method Parental psychopathology and suicidal behavior in offspring were assessed using structured interviews among 4,315 respondents from across South Africa. The WHO CIDI was used to collect data on suicidal behavior, while the Family History Research Diagnostic Criteria Interview was used to assess prior parental psychopathology. Bivariate and multivariate survival models tested the associations between the type and number parental mental disorders (including suicide) and lifetime suicidal behavior in the offspring. Associations between a range of parental disorders and the onset of subsequent suicidal behavior (suicidal ideation, plans, and attempts) among adult offspring were tested. Results The presence of parental psychopathology significantly increased the odds of suicidal behavior among their adult offspring. More specifically, parental panic disorder was associated with offspring suicidal ideation, while parental panic disorder, generalized anxiety disorder and suicide were significantly associated with offspring suicide attempts. Among those with suicidal ideation, none of the tested forms of parental psychopathology was associated with having suicide plans or attempts. There was a dose–response relationship between the number of parental disorders and odds of suicidal ideation. Conclusions Parental psychopathology increases the odds of suicidal behavior among their adult offspring in the South African context, replicating results found in other regions. Specific parental disorders predicted the onset and persistence of suicidal ideation or attempts in their offspring. Further research into these associations is recommended in order to determine the mechanisms through which parent psychopathology increases the odds of suicidal behavior among offspring. PMID:24592882

Who Gets the Most Out of Cognitive-Behavioral Therapy for Anxiety Disorders?

PubMed Central

Glenn, Daniel; Golinelli, Daniela; Rose, Raphael D.; Roy-Byrne, Peter; Stein, Murray B.; Sullivan, Greer; Bystritksy, Alexander; Sherbourne, Cathy; Craske, Michelle G.

2013-01-01

Objective The present study explored treatment dose and patient engagement as predictors of treatment outcome in cognitive behavioral therapy (CBT) for anxiety disorders. Method Measures of high versus low treatment dose, and high versus low patient engagement in CBT were compared as predictors of 12 and 18 month outcomes for patients being treated for anxiety disorders with CBT (with or without concurrent pharmacotherapy) in primary care settings as part of a randomized controlled effectiveness trial of the Coordinated Anxiety Learning and Management (CALM) intervention. Measures of dose (attendance, exposure completion) and engagement in CBT (homework adherence, commitment) were collected throughout treatment, and blinded follow-up phone assessments of outcome measures (12-item Brief Symptom Inventory, Patient Health Questionnaire 8, Sheehan Disability Scale) were completed at 12 and 18 months. Propensity score weighting controlled for baseline differences in demographics and symptom severity between patients with high and low dose and engagement. These analyses included the 439 patients that selected CBT as treatment modality. Results Completing exposures, high attendance, and being more homework adherent predicted better outcomes across all measures at 12 and 18 months, and high CBT commitment predicted better outcomes on all measures at 18 months. Conclusions This study found that higher treatment dose and patient engagement in CBT for anxiety disorders were stable and robust predictors of greater reductions in anxiety symptoms, depression symptoms, and functional disability. PMID:23750465

Interest Level in 2-Year-Olds with Autism Spectrum Disorder Predicts Rate of Verbal, Nonverbal, and Adaptive Skill Acquisition

ERIC Educational Resources Information Center

Klintwall, Lars; Macari, Suzanne; Eikeseth, Svein; Chawarska, Katarzyna

2015-01-01

Recent studies have suggested that skill acquisition rates for children with autism spectrum disorders receiving early interventions can be predicted by child motivation. We examined whether level of interest during an Autism Diagnostic Observation Schedule assessment at 2?years predicts subsequent rates of verbal, nonverbal, and adaptive skill…

The Utility of Thin Slice Ratings for Predicting Language Growth in Children with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Walton, Katherine M.; Ingersoll, Brooke R.

2016-01-01

Literature on "Thin Slice" ratings indicates that a number of personality characteristics and behaviors can be accurately predicted by ratings of very short segments (<5?min) of behavior. This study examined the utility of Thin Slice ratings of young children with autism spectrum disorder for predicting developmental skills and…

Predicting U.S. Army suicides after hospitalizations with psychiatric diagnoses in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

PubMed Central

Kessler, Ronald C.; Warner, LTC Christopher H.; Ivany, LTC Christopher; Petukhova, Maria V.; Rose, Sherri; Bromet, Evelyn J.; Brown, LTC Millard; Cai, Tianxi; Colpe, Lisa J.; Cox, Kenneth L.; Fullerton, Carol S.; Gilman, Stephen E.; Gruber, Michael J.; Heeringa, Steven G.; Lewandowski-Romps, Lisa; Li, Junlong; Millikan-Bell, Amy M.; Naifeh, James A.; Nock, Matthew K.; Rosellini, Anthony J.; Sampson, Nancy A.; Schoenbaum, Michael; Stein, Murray B.; Wessely, Simon; Zaslavsky, Alan M.; Ursano, Robert J.

2014-01-01

IMPORTANCE The U.S. Army experienced a sharp rise in suicides beginning in 2004. Administrative data show that among those at highest risk are soldiers in the 12 months after inpatient treatment of a psychiatric disorder. OBJECTIVE To develop an actuarial risk algorithm predicting suicide in the 12 months after US Army soldier inpatient treatment of a psychiatric disorder to target expanded post-hospital care. DESIGN, SETTING, AND PARTICIPANTS There were 53,769 hospitalizations of active duty soldiers in 2004–2009 with ICD-9-CM psychiatric admission diagnoses. Administrative data available prior to hospital discharge abstracted from a wide range of data systems (socio81 demographic, Army career, criminal justice, medical/pharmacy) were used to predict suicides in the subsequent 12 months using machine learning methods (regression trees, penalized regressions) designed to evaluate cross-validated linear, nonlinear, and interactive predictive associations. MAIN OUTCOME Suicides of soldiers hospitalized with psychiatric disorders in the 12 months after hospital discharge. RESULTS 68 soldiers died by suicide within 12 months of hospital discharge (12.0% of all Army suicides), equivalent to 263.9 suicides/100,000 person-years compared to 18.5 suicides/100,000 person-years in the total Army. Strongest predictors included socio-demographics (male, late age of enlistment), criminal offenses (verbal violence, weapons possession), prior suicidality, aspects of prior psychiatric inpatient and outpatient treatment, and disorders diagnosed during the focal hospitalizations. 52.9% of post-hospital suicides occurred after the 5% of hospitalizations with highest predicted suicide risk (3,824.1 suicides/100,000 person years). These highest-risk hospitalizations also accounted for significantly elevated proportions of several other adverse post-hospital outcomes (unintentional injury deaths, suicide attempts, re-hospitalizations). CONCLUSIONS AND RELEVANCE The high concentration of risk of suicides and other adverse outcomes might justify targeting expanded post-hospital interventions to soldiers classified as having highest post-hospital suicide risk, although final determination requires careful consideration of intervention costs, comparative effectiveness, and possible adverse effects. PMID:25390793

Projected rates of psychological disorders and suicidality among soldiers based on simulations of matched general population data

PubMed Central

Gadermann, Anne M.; Gilman, Stephen E.; McLaughlin, Katie A.; Nock, Matthew K.; Petukhova, Maria; Sampson, Nancy A.; Kessler, Ronald C.

2014-01-01

Limited data are available on lifetime prevalence and age-of-onset distributions of psychological disorders and suicidal behaviors among Army personnel. We used simulation methods to approximate such estimates based on analysis of data from a U.S. national general population survey with the socio-demographic profile of U.S. Army personnel. Estimated lifetime prevalence of any DSM-IV anxiety, mood, behavior, or substance disorder in this sample was 53.1 percent (17.7 percent for mood disorders, 27.2 percent for anxiety disorders, 22.7 percent for behavior disorders, and 14.4 percent for substance disorders). The vast majority of cases had onsets prior to the expected age-of-enlistment if they were in the Army (91.6 percent). Lifetime prevalence was 14.2 percent for suicidal ideation, 5.4 percent for suicide plans, and 4.5 percent for suicide attempts. The proportion of estimated pre-enlistment onsets was between 68.4 percent (suicide plans) and 82.4 percent (suicidal ideation). Externalizing disorders with onsets prior to expected age-of-enlistment and internalizing disorders with onsets after expected age-of-enlistment significantly predicted post-enlistment suicide attempts, with population attributable risk proportions of 41.8 percent and 38.8 percent, respectively. Implications of these findings are discussed for interventions designed to screen, detect, and treat psychological disorders and suicidality in the Army. PMID:23025127

Obstetric Complications as Risk Factors for Schizophrenia Spectrum Psychoses in Offspring of Mothers With Psychotic Disorder

PubMed Central

Suvisaari, Jaana M.

2013-01-01

Background: Obstetric complications have predicted future development of schizophrenia in previous studies, but they are also more common in mothers with schizophrenia. The aims of this study were to compare the occurrence of obstetric complications in children of mothers with schizophrenia spectrum psychoses and control children, and to investigate whether obstetric complications predicted children’s psychiatric morbidity. Method: The Helsinki High-Risk (HR) Study monitors females born between 1916 and 1948 and treated for schizophrenia spectrum disorders in Helsinki psychiatric hospitals, their offspring born between 1941 and 1977, and controls. We examined information on obstetric complications and neonatal health of 271 HR and 242 control offspring. We compared the frequency of obstetric complications and neonatal health problems in the HR group vs controls and in HR children who later developed psychotic disorders vs healthy HR children. A Cox regression model was used to assess whether problems in pregnancy or delivery predicted psychiatric morbidity within the HR group. Results: Few differences between HR and control offspring were found in obstetric complications. Within the HR group, infections (hazard rate ratio [HRR] 3.73, 95% CI 1.27–11.01), hypertension during pregnancy (HRR 4.10, 95% CI 1.15–14.58), and placental abnormalities (HRR 4.09, 95% CI 1.59–10.49) were associated with elevated risk of schizophrenia spectrum psychoses. Conclusions: Common medical problems during pregnancy were associated with increased risk of schizophrenia spectrum psychoses in offspring of mothers with schizophrenia spectrum psychoses. These results underline the role of the prenatal period in the development of schizophrenia and the importance of careful monitoring of pregnancies of mothers with psychotic disorder. PMID:23002182

Rapid response predicts 12-month post-treatment outcomes in binge-eating disorder: theoretical and clinical implications

PubMed Central

Grilo, C. M.; White, M. A.; Wilson, G. T.; Gueorguieva, R.; Masheb, R. M.

2011-01-01

Background We examined rapid response in obese patients with binge-eating disorder (BED) in a clinical trial testing cognitive behavioral therapy (CBT) and behavioral weight loss (BWL). Method Altogether, 90 participants were randomly assigned to CBT or BWL. Assessments were performed at baseline, throughout and post-treatment and at 6- and 12-month follow-ups. Rapid response, defined as ≥70% reduction in binge eating by week four, was determined by receiver operating characteristic curves and used to predict outcomes. Results Rapid response characterized 57% of participants (67% of CBT, 47% of BWL) and was unrelated to most baseline variables. Rapid response predicted greater improvements across outcomes but had different prognostic significance and distinct time courses for CBT versus BWL. Patients receiving CBT did comparably well regardless of rapid response in terms of reduced binge eating and eating disorder psychopathology but did not achieve weight loss. Among patients receiving BWL, those without rapid response failed to improve further. However, those with rapid response were significantly more likely to achieve binge-eating remission (62% v. 13%) and greater reductions in binge-eating frequency, eating disorder psychopathology and weight loss. Conclusions Rapid response to treatment in BED has prognostic significance through 12-month follow-up, provides evidence for treatment specificity and has clinical implications for stepped-care treatment models for BED. Rapid responders who receive BWL benefit in terms of both binge eating and short-term weight loss. Collectively, these findings suggest that BWL might be a candidate for initial intervention in stepped-care models with an evaluation of progress after 1 month to identify non-rapid responders who could be advised to consider a switch to a specialized treatment. PMID:21923964

Fear of food prospectively predicts drive for thinness in an eating disorder sample recently discharged from intensive treatment.

PubMed

Levinson, Cheri A; Brosof, Leigh C; Ma, Jackie; Fewell, Laura; Lenze, Eric J

2017-12-01

Fears of food are common in individuals with eating disorders and contribute to the high relapse rates. However, it is unknown how fears of food contribute to eating disorder symptoms across time, potentially contributing to an increased likelihood of relapse. Participants diagnosed with an eating disorder (N=168) who had recently completed intensive treatment were assessed after discharge and one month later regarding fear of food, eating disorder symptoms, anxiety sensitivity, and negative affect. Cross lagged path analysis was utilized to determine if fear of food predicted subsequent eating disorder symptoms one month later. Fear of food-specifically, anxiety about eating and feared concerns about eating-predicted drive for thinness, a core symptom domain of eating disorders. These relationships held while accounting for anxiety sensitivity and negative affect. There is a specific, direct relationship between anxiety about eating and feared concerns about eating and drive for thinness. Future research should test if interventions designed to target fear of food can decrease drive for thinness and thereby prevent relapse. Copyright © 2017 Elsevier Ltd. All rights reserved.

Personality, emotion-related variables, and media pressure predict eating disorders via disordered eating in Lebanese university students.

PubMed

Sanchez-Ruiz, Maria Jose; El-Jor, Claire; Abi Kharma, Joelle; Bassil, Maya; Zeeni, Nadine

2017-04-18

Disordered eating behaviors are on the rise among youth. The present study investigates psychosocial and weight-related variables as predictors of eating disorders (ED) through disordered eating (DE) dimensions (namely restrained, external, and emotional eating) in Lebanese university students. The sample consisted of 244 undergraduates (143 female) aged from 18 to 31 years (M = 20.06; SD = 1.67). Using path analysis, two statistical models were built separately with restrained and emotional eating as dependent variables, and all possible direct and indirect pathways were tested for mediating effects. The variables tested for were media influence, perfectionism, trait emotional intelligence, and the Big Five dimensions. In the first model, media pressure, self-control, and extraversion predicted eating disorders via emotional eating. In the second model, media pressure and perfectionism predicted eating disorders via restrained eating. Findings from this study provide an understanding of the dynamics between DE, ED, and key personality, emotion-related, and social factors in youth. Lastly, implications and recommendations for future studies are advanced.

PredictProtein—an open resource for online prediction of protein structural and functional features

PubMed Central

Yachdav, Guy; Kloppmann, Edda; Kajan, Laszlo; Hecht, Maximilian; Goldberg, Tatyana; Hamp, Tobias; Hönigschmid, Peter; Schafferhans, Andrea; Roos, Manfred; Bernhofer, Michael; Richter, Lothar; Ashkenazy, Haim; Punta, Marco; Schlessinger, Avner; Bromberg, Yana; Schneider, Reinhard; Vriend, Gerrit; Sander, Chris; Ben-Tal, Nir; Rost, Burkhard

2014-01-01

PredictProtein is a meta-service for sequence analysis that has been predicting structural and functional features of proteins since 1992. Queried with a protein sequence it returns: multiple sequence alignments, predicted aspects of structure (secondary structure, solvent accessibility, transmembrane helices (TMSEG) and strands, coiled-coil regions, disulfide bonds and disordered regions) and function. The service incorporates analysis methods for the identification of functional regions (ConSurf), homology-based inference of Gene Ontology terms (metastudent), comprehensive subcellular localization prediction (LocTree3), protein–protein binding sites (ISIS2), protein–polynucleotide binding sites (SomeNA) and predictions of the effect of point mutations (non-synonymous SNPs) on protein function (SNAP2). Our goal has always been to develop a system optimized to meet the demands of experimentalists not highly experienced in bioinformatics. To this end, the PredictProtein results are presented as both text and a series of intuitive, interactive and visually appealing figures. The web server and sources are available at http://ppopen.rostlab.org. PMID:24799431

Do psychopathic traits assessed in mid-adolescence predict mental health, psychosocial, and antisocial, including criminal outcomes, over the subsequent 5 years?

PubMed

Hemphälä, Malin; Hodgins, Sheilagh

2014-01-01

To determine whether psychopathic traits assessed in mid-adolescence predicted mental health, psychosocial, and antisocial (including criminal) outcomes 5 years later and would thereby provide advantages over diagnosing conduct disorder (CD). Eighty-six women and 61 men were assessed in mid-adolescence when they first contacted a clinic for substance misuse and were reassessed 5 years later. Assessments in adolescence include the Psychopathy Checklist-Youth Version (PCL-YV), and depending on their age, either the Kiddie-Schedule for Affective Disorders and Schizophrenia for School-Aged Children or the Structured Clinical Interview for the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition (SCID). Assessments in early adulthood included the SCID, self-reports of psychosocial functioning, aggressive behaviour, and criminality and official criminal records. The antisocial facet score positively predicted the number of anxiety symptoms and likelihood of receiving treatment for substance use disorders (SUDs). Lifestyle and antisocial facet scores negatively predicted Global Assessment of Functioning scores. By contrast, the interpersonal score and male sex independently and positively predicted the number of months worked or studied, as did the interaction of Lifestyle × Sex indicating that among men, but not women, an increase in lifestyle facet score was associated with less time worked or studied. Interpersonal and antisocial scores positively predicted school drop-out. Antisocial facet scores predicted the number of symptoms of antisocial personality disorder, alcohol and SUDs, and violent and nonviolent criminality but much more strongly among males than females. Predictions from numbers of CD symptoms were similar. Psychopathic traits among adolescents who misuse substances predict an array of outcomes over the subsequent 5 years. Information on the levels of these traits may be useful for planning treatment.

Functional development in clinical high risk youth: Prediction of schizophrenia versus other psychotic disorders

PubMed Central

Tarbox, Sarah I.; Addington, Jean; Cadenhead, Kristin S.; Cannon, Tyrone D.; Cornblatt, Barbara A.; Perkins, Diana O.; Seidman, Larry J.; Tsuang, Ming T.; Walker, Elaine F.; Heinssen, Robert; McGlashan, Thomas H.; Woods, Scott W.

2013-01-01

This study evaluates premorbid social and academic functioning in clinical high-risk individuals as predictors of transition to schizophrenia versus another psychotic disorder. Participants were 54 individuals enrolled in phase one of the North American Prodrome Longitudinal Study who over two and a half years of follow-up met criteria for schizophrenia/schizophreniform disorder (n = 28) or another psychotic disorder (n = 26). Social and academic functioning in childhood, early adolescence, and late adolescence was assessed at baseline using the Cannon-Spoor Premorbid Adjustment Scale. Social maladjustment in late adolescence predicted significantly higher odds of transition to schizophrenia versus another psychotic disorder independent of childhood and early adolescent adjustment (OR = 4.02) and conveyed unique risk over academic maladjustment (OR = 5.64). Premorbid academic maladjustment was not associated with psychotic disorder diagnosis. Results support diagnostic specificity of premorbid social dysfunction to schizophrenia in clinical high-risk youth and underscore an important role for social maladjustment in the developmental pathology of schizophrenia and its prediction. PMID:24200216

Teacher ratings of DSM-III-R symptoms for the disruptive behavior disorders.

PubMed

Pelham, W E; Gnagy, E M; Greenslade, K E; Milich, R

1992-03-01

Ratings were collected on a rating scale comprised of the DSM-III-R diagnostic criteria for disruptive behavior disorders. Teacher ratings were obtained for 931 boys in regular classrooms in grades K through 8 from around North America. Means and standard deviations for attention-deficit hyperactivity disorder (ADHD), oppositional-defiant disorder (ODD), and conduct disorder (CD) scales are reported by age. Frequencies of DSM-III-R symptoms are reported by age, and suggested diagnostic cutoffs are discussed. A factor analysis revealed three factors: one reflecting ODD and several CD symptoms, one on which ADHD symptoms of inattention loaded, and one comprised of ADHD impulsivity/overactivity symptoms. Conditional probability analyses revealed that several hallmark symptoms of ADHD had very poor predictive power, whereas combinations of symptoms from the two ADHD factors had good predictive power. Combinations of ODD symptoms also had very high predictive power. The limited utility of teacher ratings in assessing symptoms of conduct disorder in this age range is discussed.

Using Smartphones to Monitor Bipolar Disorder Symptoms: A Pilot Study

PubMed Central

Kindermann, Sally; Maier, Andreas; Kerl, Christopher; Moock, Jörn; Barbian, Guido; Rössler, Wulf

2016-01-01

Background Relapse prevention in bipolar disorder can be improved by monitoring symptoms in patients' daily life. Smartphone apps are easy-to-use, low-cost tools that can be used to assess this information. To date, few studies have examined the usefulness of smartphone data for monitoring symptoms in bipolar disorder. Objective We present results from a pilot test of a smartphone-based monitoring system, Social Information Monitoring for Patients with Bipolar Affective Disorder (SIMBA), that tracked daily mood, physical activity, and social communication in 13 patients. The objective of this study was to investigate whether smartphone measurements predicted clinical symptoms levels and clinical symptom change. The hypotheses that smartphone measurements are (1) negatively related to clinical depressive symptoms and (2) positively related to clinical manic symptoms were tested. Methods Clinical rating scales were administered to assess clinical depressive and manic symptoms. Patients used a smartphone with the monitoring app for up to 12 months. Random-coefficient multilevel models were computed to analyze the relationship between smartphone data and externally rated manic and depressive symptoms. Overall clinical symptom levels and clinical symptom changes were predicted by separating between-patient and within-patient effects. Using established clinical thresholds from the literature, marginal effect plots displayed clinical relevance of smartphone data. Results Overall symptom levels and change in clinical symptoms were related to smartphone measures. Higher overall levels of clinical depressive symptoms were predicted by lower self-reported mood measured by the smartphone (beta=-.56, P<.001). An increase in clinical depressive symptoms was predicted by a decline in social communication (ie, outgoing text messages: beta=-.28, P<.001) and a decline in physical activity as measured by the smartphone (ie, cell tower movements: beta=-.11, P=.03). Higher overall levels of clinical manic symptoms were predicted by lower physical activity on the smartphone (ie, distance travelled: beta=-.37, P<.001), and higher social communication (beta=.48, P=.03). An increase in clinical manic symptoms was predicted by a decrease in physical activity on the smartphone (beta=-.17, P<.001). Conclusions Clinical symptoms were related to some objective and subjective smartphone measurements, but not all smartphone measures predicted the occurrence of bipolar symptoms above clinical thresholds. Thus, smartphones have the potential to monitor bipolar disorder symptoms in patients’ daily life. Further validation of monitoring tools in a larger sample is needed. Conclusions are limited by the low prevalence of manic and depressive symptoms in the study sample. Trial Registration International Standard Randomized Controlled Trial Number (ISRCTN): 05663421; http://www.controlled-trials.com/ISRCTN05663421 (Archived by WebCite at http://www.webcitation.org/6d9wsibJB) PMID:26740354

Clinical and neurocognitive course in early-onset psychosis: a longitudinal study of adolescents with schizophrenia-spectrum disorders*

PubMed Central

Wozniak, Jeffrey R.; Block, Erin E.; White, Tonya; Jensen, Jonathan B.; Schulz, S. Charles

2017-01-01

Aim Adolescents with psychotic disorders show deficits in IQ, attention, learning and memory, executive functioning, and processing speed that are related to important clinical variables including negative symptoms, adaptive functioning and academics. Previous studies have reported relatively consistent deficits with varying relationships to illness status and symptoms. The goals of this study were to examine these relationships in a larger sample at baseline, and also to examine the longitudinal course of these deficits in a smaller subset of adolescents. Method Thirty-six subjects, aged 10 to 17 years, were included at baseline. All had Diagnostic and Statistical Manual-Fourth Edition diagnoses of schizophrenia, schizoaffective disorder, schizophreniform disorder and psychosis – not otherwise specified, as determined by Kiddie-Schedule for Affective Disorders and Schizophrenia for School-Age Children structured interviews. Patients were administered a neuropsychological battery, and Positive and Negative Syndrome Scale ratings were completed at baseline and again at 1 year (n = 14). Most participants were inpatients at baseline, and 13 of 14were on atypical antipsychotic medication during both sessions. Results At baseline, the patients demonstrated impairments in working memory, processing speed, executive function and verbal learning. No significant cognitive change was detected at 1-year follow-up. In contrast, clinical symptoms were variable across 1 year, with an improvement in positive symptoms at 1 year. No relationships between clinical and cognitive symptoms were observed, with the exception of baseline IQ predicting negative symptoms at 1 year. Conclusions Young patients with schizophrenia-spectrum disorders displayed neurocognitive impairments at baseline. Despite measurable fluctuations in clinical symptoms over the year, no significant changes were measured in cognition. Lower IQ at baseline was predictive of more negative symptoms at 1 year. PMID:21352150

DSM-IV Alcohol Dependence and Marital Dissolution: Evidence From the National Epidemiologic Survey on Alcohol and Related Conditions

PubMed Central

Cranford, James A

2014-01-01

Objective: The purpose of this study was to examine the cross-sectional and longitudinal associations among alcohol use disorder (AUD), stressful life events, and marital dissolution in a probability sample of adults. Method: The National Epidemiologic Survey on Alcohol and Related Conditions is a prospective, longitudinal study of a probability sample of 43,083 adults 18 years of age and older living in the United States. The interval between Wave 1 (W1) and Wave 2 (W2) was approximately 3 years. Cross-sectional analyses included 32,359 adults ages 18 and older who were ever married at W1, and longitudinal analyses included 17,192 adults who were currently married at W1 and who completed relevant W2 measures. Participants completed inhome surveys conducted with computer-assisted personal interviewing. Results: Rates of lifetime marital dissolution were significantly higher among those with lifetime AUD (48.3%) than in those with no lifetime AUD (30.1%). The incidence of marital dissolution from W1 to W2 was 15.5% for those with a past-12-month AUD at W1, compared to 4.8% among those with no AUD. Proportional hazards regression analyses showed that past-12-month AUD, tobacco use disorder, other substance use disorder, stressful life events, older age at marriage, being married more than once, and being married to an alcoholic at W1 predicted greater hazards of marital dissolution at W2. These associations were not moderated by gender. Conclusions: AUD and stressful life events predict subsequent marital dissolution independently of other substance use disorders, mood and anxiety disorders, and personality disorders. Results were discussed within the framework of the Vulnerability–Stress–Adaptation model of marriage. PMID:24766764

Preschool speech error patterns predict articulation and phonological awareness outcomes in children with histories of speech sound disorders

PubMed Central

Preston, Jonathan L.; Hull, Margaret; Edwards, Mary Louise

2012-01-01

Purpose To determine if speech error patterns in preschoolers with speech sound disorders (SSDs) predict articulation and phonological awareness (PA) outcomes almost four years later. Method Twenty-five children with histories of preschool SSDs (and normal receptive language) were tested at an average age of 4;6 and followed up at 8;3. The frequency of occurrence of preschool distortion errors, typical substitution and syllable structure errors, and atypical substitution and syllable structure errors were used to predict later speech sound production, PA, and literacy outcomes. Results Group averages revealed below-average school-age articulation scores and low-average PA, but age-appropriate reading and spelling. Preschool speech error patterns were related to school-age outcomes. Children for whom more than 10% of their speech sound errors were atypical had lower PA and literacy scores at school-age than children who produced fewer than 10% atypical errors. Preschoolers who produced more distortion errors were likely to have lower school-age articulation scores. Conclusions Different preschool speech error patterns predict different school-age clinical outcomes. Many atypical speech sound errors in preschool may be indicative of weak phonological representations, leading to long-term PA weaknesses. Preschool distortions may be resistant to change over time, leading to persisting speech sound production problems. PMID:23184137

Childhood symptoms of inattention-hyperactivity predict cannabis use in first episode psychosis.

PubMed

Cassidy, Clifford M; Joober, Ridha; King, Suzanne; Malla, Ashok K

2011-11-01

A history of childhood symptoms of inattention-hyperactivity is often reported in first episode psychosis (FEP) as is cannabis use. In the general population childhood ADHD predicts future cannabis use but the relationship has not been tested in FEP. Parents of patients with a first episode of psychosis (n=75) retrospectively assessed their affected child for symptoms of early-life disorders, namely, attention deficit hyperactivity disorder (ADHD), conduct disorder (CD) and oppositional defiant disorder (ODD) using the Child Behaviour Checklist (CBCL). Assessments were made prospectively of cannabis use over two years following a FEP and of SCID diagnosis of cannabis-use disorder. Childhood hyperactivity-inattention symptoms predicted inability to maintain abstinence from cannabis following treatment (Wald=8.4, p=.004) and lifetime cannabis-use diagnosis (Wald=5.3, p=.022) in a logistic regression controlling for relevant covariates including symptoms of CD and ODD from ages 12 to 18. When the symptom of inattention was considered in place of the hyperactivity-inattention syndrome it predicted cannabis-use diagnosis (Wald=6.4, p=.011) and persistent abstinence from cannabis (Wald=5.3, p=.021). Symptoms of CD and ODD did not predict cannabis use when hyperactivity-inattention symptoms were controlled for. Symptoms of childhood inattention-hyperactivity predict subsequent cannabis use in FEP. Copyright © 2011 Elsevier B.V. All rights reserved.

Comorbidity effects on cocaine dependence treatment and examination of reciprocal relationships between abstinence and depression.

PubMed

Milby, Jesse B; Conti, Kimberly; Wallace, Dennis; Mennemeyer, Stephen; Mrug, Sylvie; Schumacher, Joseph E

2015-02-01

We examined comorbid disorders' prevalence, their impact on abstinence, and the impact of depressive symptoms on abstinence and of abstinence on depressive symptoms. A randomized controlled trial's data on outcomes from treating cocaine dependence were used. It compared abstinence-contingent housing and work to contingency management plus behavioral day treatment. Regardless of original trial arm assignment, groups of participants with no additional Axis I disorders (n = 87) and 1 or more additional Axis I disorders (n = 113) were compared for abstinence. Changes in depression symptoms, measured by the Beck Depression Inventory, were analyzed as a function of 4 cohorts of increased consecutive weeks abstinent. An autoregressive cross-lagged path model examined reciprocal relationships between depression and abstinence. Most prevalent additional disorders were depressive disorders, followed by anxiety disorders. Additional disorders did not significantly affect abstinence. Cohorts with more abstinence were linearly related to lower depression symptoms. The cross-lagged model showed that longer abstinence predicted decreases in depressive symptoms at 6 months. However, depressive symptoms did not predict changes in abstinence. Our study adds to others that have found an effective treatment targeted at specific problems such as substance abuse, social anxiety disorder, and posttraumatic stress disorder that may have the side benefit of reducing depression. Additionally, we find that depression does not interfere with effective substance abuse treatment for cocaine dependency. This may be the 1st formal analysis comparing the ability of cocaine abstinence to predict future depressive symptoms versus depressive symptoms to predict future cocaine abstinence. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Functional outcomes of child and adolescent oppositional defiant disorder symptoms in young adult men.

PubMed

Burke, Jeffrey D; Rowe, Richard; Boylan, Khrista

2014-03-01

Oppositional defiant disorder(ODD) is considered to be a disorder of childhood, yet evidence suggests that prevalence rates of the disorder are stable into late adolescence and trajectories of symptoms persist into young adulthood. Functional outcomes associated with ODD through childhood and adolescence include conflict within families, poor peer relationships, peer rejection, and academic difficulties. Little examination of functional outcomes in adulthood associated with ODD has been undertaken. Data for the present analyses come from a clinic referred sample of 177 boys aged 7-12 followed up annually to age 18 and again at age 24. Annual parental report of psychopathology through adolescence was used to predict self-reported functional outcomes at 24. Controlling for parent reported symptoms of attention deficit hyperactivity disorder (ADHD), Conduct disorder (CD), depression and anxiety, ODD symptoms from childhood through adolescence predicted poorer age 24 functioning with peers, poorer romantic relationships, a poorer paternal relationship, and having nobody who would provide a recommendation for a job. CD symptoms predicted workplace problems, poor maternal relationship, lower academic attainment, and violent injuries. Only parent reported ODD symptoms and child reported CD symptoms predicted a composite of poor adult outcomes. Oppositional defiant disorder is a disorder that significantly interferes with functioning, particularly in social or interpersonal relationships. The persistence of impairment associated with ODD into young adulthood calls for a reconsideration of ODD as a disorder limited to childhood. © 2013 The Authors. Journal of Child Psychology and Psychiatry © 2013 Association for Child and Adolescent Mental Health.

Simulation of loss mechanisms in organic solar cells: A description of the mesoscopic Monte Carlo technique and an evaluation of the first reaction method.

PubMed

Groves, Chris; Kimber, Robin G E; Walker, Alison B

2010-10-14

In this letter we evaluate the accuracy of the first reaction method (FRM) as commonly used to reduce the computational complexity of mesoscale Monte Carlo simulations of geminate recombination and the performance of organic photovoltaic devices. A wide range of carrier mobilities, degrees of energetic disorder, and applied electric field are considered. For the ranges of energetic disorder relevant for most polyfluorene, polythiophene, and alkoxy poly(phenylene vinylene) materials used in organic photovoltaics, the geminate separation efficiency predicted by the FRM agrees with the exact model to better than 2%. We additionally comment on the effects of equilibration on low-field geminate separation efficiency, and in doing so emphasize the importance of the energy at which geminate carriers are created upon their subsequent behavior.

Distribution and cluster analysis of predicted intrinsically disordered protein Pfam domains

PubMed Central

Williams, Robert W; Xue, Bin; Uversky, Vladimir N; Dunker, A Keith

2013-01-01

The Pfam database groups regions of proteins by how well hidden Markov models (HMMs) can be trained to recognize similarities among them. Conservation pressure is probably in play here. The Pfam seed training set includes sequence and structure information, being drawn largely from the PDB. A long standing hypothesis among intrinsically disordered protein (IDP) investigators has held that conservation pressures are also at play in the evolution of different kinds of intrinsic disorder, but we find that predicted intrinsic disorder (PID) is not always conserved across Pfam domains. Here we analyze distributions and clusters of PID regions in 193024 members of the version 23.0 Pfam seed database. To include the maximum information available for proteins that remain unfolded in solution, we employ the 10 linearly independent Kidera factors1–3 for the amino acids, combined with PONDR4 predictions of disorder tendency, to transform the sequences of these Pfam members into an 11 column matrix where the number of rows is the length of each Pfam region. Cluster analyses of the set of all regions, including those that are folded, show 6 groupings of domains. Cluster analyses of domains with mean VSL2b scores greater than 0.5 (half predicted disorder or more) show at least 3 separated groups. It is hypothesized that grouping sets into shorter sequences with more uniform length will reveal more information about intrinsic disorder and lead to more finely structured and perhaps more accurate predictions. HMMs could be trained to include this information. PMID:28516017

Predictive validity of callous-unemotional traits measured in early adolescence with respect to multiple antisocial outcomes.

PubMed

McMahon, Robert J; Witkiewitz, Katie; Kotler, Julie S

2010-11-01

This study investigated the predictive validity of youth callous-unemotional (CU) traits, as measured in early adolescence (Grade 7) by the Antisocial Process Screening Device (APSD; Frick & Hare, 2001), in a longitudinal sample (N = 754). Antisocial outcomes, assessed in adolescence and early adulthood, included self-reported general delinquency from 7th grade through 2 years post-high school, self-reported serious crimes through 2 years post-high school, juvenile and adult arrest records through 1 year post-high school, and antisocial personality disorder symptoms and diagnosis at 2 years post-high school. CU traits measured in 7th grade were highly predictive of 5 of the 6 antisocial outcomes-general delinquency, juvenile and adult arrests, and early adult antisocial personality disorder criterion count and diagnosis-over and above prior and concurrent conduct problem behavior (i.e., criterion counts of oppositional defiant disorder and conduct disorder) and attention-deficit/hyperactivity disorder (criterion count). Incorporating a CU traits specifier for those with a diagnosis of conduct disorder improved the positive prediction of antisocial outcomes, with a very low false-positive rate. There was minimal evidence of moderation by sex, race, or urban/rural status. Urban/rural status moderated one finding, with being from an urban area associated with stronger relations between CU traits and adult arrests. Findings clearly support the inclusion of CU traits as a specifier for the diagnosis of conduct disorder, at least with respect to predictive validity. PsycINFO Database Record (c) 2010 APA, all rights reserved

Adult Diagnostic and Functional Outcomes of DSM-5 Disruptive Mood Dysregulation Disorder

PubMed Central

Copeland, William E.; Shanahan, Lilly; Egger, Helen; Angold, Adrian; Costello, E. Jane

2014-01-01

Objective Disruptive mood dysregulation disorder is a new disorder for DSM-5 that is uncommon and frequently co-occurs with other psychiatric disorders. Here, we test whether meeting diagnostic criteria for this disorder in childhood predicts adult diagnostic and functional outcomes. Methods In a prospective, population-based study, subjects were assessed with structured interviews up to 6 times in childhood and adolescence (ages 10 to 16; 5336 observations of 1420 subjects) for symptoms of disruptive mood dysregulation disorder and 3 times in young adulthood (ages 19, 21, and 24-26; 3215 observations of 1273 subjects) for psychiatric and functional outcomes (health, risky/illegal behavior, financial/educational and social functioning). Results Young adults with a history of childhood disruptive mood dysregulation disorders had elevated rates of anxiety and depression and were more likely to meet criteria for more than one adult disorder as compared to controls with no history of childhood psychiatric problems (noncases) or subjects meeting criteria for psychiatric disorders other than disruptive mood dysregulation disorder in childhood/adolescence (psychiatric controls). Participants with a history of disruptive mood dysregulation disorder also were more likely to have adverse health outcomes, be impoverished, have reported police contact, and have low educational attainment as adults compared to either psychiatric or noncase controls. Conclusions The long-term prognosis of children with disruptive mood dysregulation disorder cases is one of pervasive impaired functioning that in many cases is worse than that of other childhood psychiatric cases. PMID:24781389

The joint impact of cognitive performance in adolescence and familial cognitive aptitude on risk for major psychiatric disorders: a delineation of four potential pathways to illness.

PubMed

Kendler, K S; Ohlsson, H; Keefe, R S E; Sundquist, K; Sundquist, J

2018-04-01

How do joint measures of premorbid cognitive ability and familial cognitive aptitude (FCA) reflect risk for a diversity of psychiatric and substance use disorders? To address this question, we examined, using Cox models, the predictive effects of school achievement (SA) measured at age 16 and FCA-assessed from SA in siblings and cousins, and educational attainment in parents-on risk for 12 major psychiatric syndromes in 1 140 608 Swedes born 1972-1990. Four developmental patterns emerged. In the first, risk was predicted jointly by low levels of SA and high levels of FCA-that is a level of SA lower than would be predicted from the FCA. This pattern was strongest in autism spectrum disorders and schizophrenia, and weakest in bipolar illness. In these disorders, a pathologic process seems to have caused cognitive functioning to fall substantially short of familial potential. In the second pattern, seen in the internalizing conditions of major depression and anxiety disorders, risk was associated with low SA but was unrelated to FCA. Externalizing disorders-drug abuse and alcohol use disorders-demonstrated the third pattern, in which risk was predicted jointly by low SA and low FCA. The fourth pattern, seen in eating disorders, was directly opposite of that observed in externalizing disorders with risk associated with high SA and high FCA. When measured together, adolescent cognitive ability and FCA identified four developmental patterns leading to diverse psychiatric disorders. The value of cognitive assessments in psychiatric research can be substantially increased by also evaluating familial cognitive potential.

Separation Anxiety Disorder in Children: Disorder-Specific Responses to Experimental Separation from the Mother

ERIC Educational Resources Information Center

Kossowsky, Joe; Wilhelm, Frank H.; Roth, Walton T.; Schneider, Silvia

2012-01-01

Background: Separation anxiety disorder (SAD) is one of the most common anxiety disorders in childhood and is predictive of adult anxiety disorders, especially panic disorder. However, the disorder has seldom been studied and the attempt to distinguish SAD from other anxiety disorders with regard to psychophysiology has not been made. We expected…

Subclinical bulimia predicts conduct disorder in middle adolescent girls.

PubMed

Viinamäki, Anni; Marttunen, Mauri; Fröjd, Sari; Ruuska, Jaana; Kaltiala-Heino, Riittakerttu

2013-01-01

This study investigates the comorbidity and longitudinal associations between self-reported conduct disorder and subclinical bulimia in a community-based sample of Finnish adolescents in a 2-year prospective follow-up study. There are 2070 adolescents who participated in the survey as ninth graders (mean age 15.5) and followed-up 2 years later. The Youth Self-Report Externalizing scale was used to measure conduct disorder and DSM-IV-based questionnaire to measure bulimia. Co-occurrence of female conduct disorder and subclinical bulimia was found at ages 15 and 17. Subclinical bulimia among girls at age 15 was a risk factor for conduct disorder at age 17, but conduct disorder at age 15 was not predictive of subclinical bulimia at age 17. The pathway from bulimia to conduct disorder may be suggestive of an association with future borderline personality disorder among girls. Copyright © 2012 John Wiley & Sons, Ltd and Eating Disorders Association.

COMORBID INTERMITTENT EXPLOSIVE DISORDER AND POSTTRAUMATIC STRESS DISORDER: CLINICAL CORRELATES AND RELATIONSHIP TO SUICIDAL BEHAVIOR

PubMed Central

Fanning, Jennifer R.; Lee, Royce; Coccaro, Emil F.

2016-01-01

Objective Posttraumatic stress disorder (PTSD) is associated with both aggressive and suicidal behavior. Recent research suggests that the diagnosis of Intermittent Explosive Disorder (IED), an impulse-control disorder characterized by repeated impulsive aggressive behavior, may help to identify individuals at risk for attempting suicide. Given the relationship between anger and PTSD, there is likely to be an increased prevalence of IED among individuals with PTSD; however, little is known about the overlap in these two disorders, including how individuals with comorbid IED and PTSD may differ from those with either disorder alone. The purpose of this study is to examine the clinical correlates of comorbid IED and PTSD and the contribution of these two disorders (among others) to lifetime suicide attempt and characteristics of suicidal behavior. Method In a large sample of community research volunteers (N=1460), we compared individuals with PTSD, IED, and comorbid PTSD and IED on measures of current mood, trait aggression, and trait impulsivity. We also examined the contributions of PTSD, IED, and other syndromal and personality disorders to the prediction of lifetime aggression and lifetime suicide attempt, and their relationship to characteristics of suicide attempts, including level of intent, use of violent versus non-violent means, and the medical seriousness of the attempt. Results Comorbid PTSD and IED was associated with significantly elevated levels of depression, anxiety, anger, aggression, and impulsivity, as well as with high rates of comorbidity with other psychiatric disorders. IED (β=.56, p<.001), but not PTSD, significantly and uniquely predicted lifetime aggressive behavior. Both IED and PTSD were associated with lifetime suicide attempt in multivariate analysis (ORs: 1.6 and 1.6, ps<.05). The results show that IED, when comorbid with PTSD, identifies a subgroup of individuals with particularly high levels of aggressive behavior and a high rate of suicide attempt (41.4% in this sample). Conclusion These findings add support to the notion that the diagnosis of IED may aid in identifying individuals at risk for aggressive and suicidal behavior. PMID:27624432

Symptom patterns in dissociative identity disorder patients and the general population.

PubMed

Ross, Colin A; Ness, Laura

2010-01-01

The authors used the Dissociative Disorders Interview Schedule to compare structured interview symptom patterns in a general population sample (N= 502) and a sample of patients with clinical diagnoses of dissociative identity disorder (N= 303). Based on the Trauma Model, the authors predicted that the patterns would be similar in the 2 samples and that symptom scores would be higher in participants reporting childhood sexual abuse in both samples. They predicted that symptom scores would be higher among women with dissociative identity disorder reporting sexual abuse than among women in the general population reporting sexual abuse, with the clinical sample reporting more severe abuse. These predictions were supported by the data. The authors conclude that symptom patterns in dissociative identity disorder are typical of the normal human response to severe, chronic childhood trauma and have ecological validity for the human race in general.

Body Dysmorphic, Obsessive-Compulsive, and Social Anxiety Disorder Beliefs as Predictors of In Vivo Stressor Responding.

PubMed

Parsons, E Marie; Straub, Kelsey T; Smith, April R; Clerkin, Elise M

2017-06-01

This study tested the potential transdiagnostic nature of body dysmorphic disorder (BDD), obsessive-compulsive disorder (OCD), and social anxiety disorder (SAD) beliefs, in addition to testing the specificity of those beliefs, in predicting how individuals responded to symptom-specific stressors. Participants included 127 adults (75% women) with a broad range of symptom severity. Path analysis was used to evaluate whether specific maladaptive beliefs predicted distress in response to symptom-relevant stressors over and above other beliefs and baseline distress. SAD beliefs emerged as a significant predictor of distress in response to a mirror gazing (BDD-relevant), a thought (OCD-relevant), and a public speaking (SAD-relevant) task, controlling for other disorder beliefs and baseline distress. BDD beliefs were also a robust predictor of BDD stressor responding. Results suggest that social anxiety-relevant beliefs may function as a transdiagnostic risk factor that predicts in vivo symptoms across a range of problem areas.

The heritability of cluster A personality disorders assessed by both personal interview and questionnaire.

PubMed

Kendler, Kenneth S; Myers, John; Torgersen, Svenn; Neale, Michael C; Reichborn-Kjennerud, Ted

2007-05-01

Personality disorders (PDs) as assessed by questionnaires and personal interviews are heritable. However, we know neither how much unreliability of measurement impacts on heritability estimates nor whether the genetic and environmental risk factors assessed by these two methods are the same. We wish to know whether the same set of PD vulnerability factors are assessed by these two methods. A total of 3334 young adult twin pairs from the Norwegian Institute of Public Health Twin Panel (NIPHTP) completed a questionnaire containing 91 PD items. One to 6 years later, 1386 of these pairs were interviewed with the Structured Interview for DSM-IV Personality (SIDP-IV). Self-report items predicting interview results were selected by regression. Measurement models were fitted using Mx. In the best-fit models, the latent liabilities to paranoid personality disorder (PPD), schizoid personality disorder (SPD) and schizotypal personality disorder (STPD) were all highly heritable with no evidence of shared environmental effects. For PPD and STPD, only unique environmental effects were specific to the interview measure whereas both environmental and genetic effects were found to be specific to the questionnaire assessment. For SPD, the best-fit model contained genetic and environmental effects specific to both forms of assessment. The latent liabilities to the cluster A PDs are highly heritable but are assessed by current methods with only moderate reliability. The personal interviews assessed the genetic risk for the latent trait with excellent specificity for PPD and STPD and good specificity for SPD. However, for all three PDs, the questionnaires were less specific, also indexing an independent set of genetic risk factors.

Toward the definition of a bipolar prodrome: Dimensional predictors of bipolar spectrum disorder in at-risk youth

PubMed Central

Hafeman, Danella M.; Merranko, John; Axelson, David; Goldstein, Benjamin I.; Goldstein, Tina; Monk, Kelly; Hickey, Mary Beth; Sakolsky, Dara; Diler, Rasim; Iyengar, Satish; Brent, David; Kupfer, David; Birmaher, Boris

2016-01-01

Objective We aimed to assess dimensional symptomatic predictors of new-onset bipolar spectrum disorder in youth at familial risk of bipolar disorder (“at-risk” youth). Method Offspring aged 6–18 of parents with bipolar-I/II disorder (n=391) and offspring of community controls (n=248) were recruited without regard to non-bipolar psychopathology. At baseline, 8.4% (33/391) of offspring of bipolar parents had bipolar spectrum; 14.7% (44/299) of offspring with follow-up developed new-onset bipolar spectrum (15 with bipolar-I/II) over eight years. Scales collected at baseline and follow-up were reduced using factor analyses; factors (both at baseline and visit proximal to conversion or last contact) were then assessed as predictors of new-onset bipolar spectrum. Results Relative to community control offspring, at-risk and bipolar offspring had higher baseline levels of anxiety/depression, inattention/disinhibition, externalizing, subsydromal manic, and affective lability symptoms (p<.05). The strongest predictors of new-onset bipolar spectrum were: baseline anxiety/depression, baseline and proximal affective lability, and proximal subsyndromal manic symptoms (p<.05). While affective lability and anxiety/depression were elevated throughout follow-up in those who later developed bipolar spectrum, manic symptoms increased up to the point of conversion. A path analysis supported the hypothesized model that affective lability at baseline predicted new-onset bipolar spectrum, in part, through increased manic symptoms at the visit prior to conversion; earlier parental age of mood disorder onset also significantly increased risk of conversion (p<.001). While youth without anxiety/depression, affective lability, and mania (and with a parent with older age of mood disorder onset) had a 2% predicted chance of conversion to bipolar spectrum, those with all risk factors had a 49% predicted chance of conversion. Conclusions Dimensional measures of anxiety/depression, affective lability, and mania are important predictors of new-onset bipolar spectrum in this population of at-risk youth. These symptoms emerged from among numerous other candidates, underscoring the potential clinical and research utility of these findings. PMID:26892940

Problem behaviours and symptom dimensions of psychiatric disorders in adults with intellectual disabilities: An exploratory and confirmatory factor analysis.

PubMed

Melville, Craig A; Johnson, Paul C D; Smiley, Elita; Simpson, Neill; Purves, David; McConnachie, Alex; Cooper, Sally-Ann

2016-08-01

The limited evidence on the relationship between problem behaviours and symptoms of psychiatric disorders experienced by adults with intellectual disabilities leads to conflict about diagnostic criteria and confused treatment. This study examined the relationship between problem behaviours and other psychopathology, and compared the predictive validity of dimensional and categorical models experienced by adults with intellectual disabilities. Exploratory and confirmatory factor analyses appropriate for non-continuous data were used to derive, and validate, symptom dimensions using two clinical datasets (n=457; n=274). Categorical diagnoses were derived using DC-LD. Severity and 5-year longitudinal outcome was measured using a battery of instruments. Five factors/dimensions were identified and confirmed. Problem behaviours were included in an emotion dysregulation-problem behaviour dimension that was distinct from the depressive, anxiety, organic and psychosis dimensions. The dimensional model had better predictive validity than categorical diagnosis. International classification systems should not include problem behaviours as behavioural equivalents in diagnostic criteria for depression or other psychiatric disorders. Investigating the relevance of emotional regulation to psychopathology may provide an important pathway for development of improved interventions. There is uncertainty whether new onset problem behaviours or a change in longstanding problem behaviours should be considered as symptoms of depression or other types of psychiatric disorders in adults with intellectual disabilities. The validity of previous studies was limited by the use of pre-defined, categorical diagnoses or unreliable statistical methods. This study used robust statistical modelling to examine problem behaviours within a dimensional model of symptoms. We found that problem behaviours were included in an emotional dysregulation dimension and not in the dimension that included symptoms that are typical of depression. The dimensional model of symptoms had greater predictive validity than categorical diagnoses of psychiatric disorders. Our findings suggest that problem behaviours are a final common pathway for emotional distress in adults with intellectual disabilities so clinicians should not use a change in problem behaviours as a diagnostic criterion for depression, or other psychiatric disorders. Copyright © 2016 Elsevier Ltd. All rights reserved.

The impact of psychiatric diagnosis on treatment adherence and duration among victimized children and adolescents in São Paulo, Brazil

PubMed Central

Scivoletto, Sandra; Silva, Thiago F.; Cunha, Paulo Jannuzzi; Rosenheck, Robert A.

2012-01-01

OBJECTIVE: Despite the high prevalence of substance abuse and mood disorders among victimized children and adolescents, few studies have investigated the association of these disorders with treatment adherence, represented by numbers of visits per month and treatment duration. We aimed to investigate the effects of substance abuse and mood disorders on treatment adherence and duration in a special program for victimized children in São Paulo, Brazil. METHODS: A total of 351 participants were evaluated for psychiatric disorders and classified into one of five groups: mood disorders alone; substance abuse disorders alone; mood and substance abuse disorders; other psychiatric disorders; no psychiatric disorders. The associations between diagnostic classification and adherence to treatment and the duration of program participation were tested with logistic regression and survival analysis, respectively. RESULTS: Children with mood disorders alone had the highest rate of adherence (79.5%); those with substance abuse disorders alone had the lowest (40%); and those with both disorders had an intermediate rate of adherence (50%). Those with other psychiatric disorders and no psychiatric disorders also had high rates of adherence (75.6% and 72.9%, respectively). Living with family significantly increased adherence for children with substance abuse disorders but decreased adherence for those with no psychiatric disorders. The diagnostic correlates of duration of participation were similar to those for adherence. CONCLUSIONS: Mood and substance abuse disorders were strong predictive factors for treatment adherence and duration, albeit in opposite directions. Living with family seems to have a positive effect on treatment adherence for patients with substance abuse disorders. More effective treatment is needed for victimized substance-abusing youth. PMID:22249474

Chronic stressors and trauma: prospective influences on the course of bipolar disorder

PubMed Central

Gershon, A.; Johnson, S. L.; Miller, I.

2013-01-01

Background Exposure to life stress is known to adversely impact the course of bipolar disorder. Few studies have disentangled the effects of multiple types of stressors on the longitudinal course of bipolar I disorder. This study examines whether severity of chronic stressors and exposure to trauma are prospectively associated with course of illness among bipolar patients. Method One hundred and thirty-one participants diagnosed with bipolar I disorder were recruited through treatment centers, support groups and community advertisements. Severity of chronic stressors and exposure to trauma were assessed at study entry with in-person interviews using the Bedford College Life Event and Difficulty Schedule (LEDS). Course of illness was assessed by monthly interviews conducted over the course of 24 months (over 3000 assessments). Results Trauma exposure was related to more severe interpersonal chronic stressors. Multiple regression models provided evidence that severity of overall chronic stressors predicted depressive but not manic symptoms, accounting for 7.5% of explained variance. Conclusions Overall chronic stressors seem to be an important determinant of depressive symptoms within bipolar disorder, highlighting the importance of studying multiple forms of life stress. PMID:23419615

Thermal conductance at atomically clean and disordered silicon/aluminum interfaces: A molecular dynamics simulation study

NASA Astrophysics Data System (ADS)

Ih Choi, Woon; Kim, Kwiseon; Narumanchi, Sreekant

2012-09-01

Thermal resistance between layers impedes effective heat dissipation in electronics packaging applications. Thermal conductance for clean and disordered interfaces between silicon (Si) and aluminum (Al) was computed using realistic Si/Al interfaces and classical molecular dynamics with the modified embedded atom method potential. These realistic interfaces, which include atomically clean as well as disordered interfaces, were obtained using density functional theory. At 300 K, the magnitude of interfacial conductance due to phonon-phonon scattering obtained from the classical molecular dynamics simulations was approximately five times higher than the conductance obtained using analytical elastic diffuse mismatch models. Interfacial disorder reduced the thermal conductance due to increased phonon scattering with respect to the atomically clean interface. Also, the interfacial conductance, due to electron-phonon scattering at the interface, was greater than the conductance due to phonon-phonon scattering. This indicates that phonon-phonon scattering is the bottleneck for interfacial transport at the semiconductor/metal interfaces. The molecular dynamics modeling predictions for interfacial thermal conductance for a 5-nm disordered interface between Si/Al were in-line with recent experimental data in the literature.

Can tissue spectrophotometry and laser Doppler flowmetry help to identify patients at risk for wound healing disorders after neck dissection?

PubMed

Rohleder, Nils H; Flensberg, Sandra; Bauer, Florian; Wagenpfeil, Stefan; Wales, Craig J; Koerdt, Steffen; Wolff, Klaus D; Hölzle, Frank; Steiner, Timm; Kesting, Marco R

2014-03-01

Microcirculation and oxygen supply in cervical skin were measured with an optical, noninvasive method in patients with or without radiotherapy before neck dissection. The course of wound healing was monitored after the surgical procedure to identify predictive factors for postoperative wound healing disorders. Tissue spectrophotometry and laser Doppler flowmetry were used to determine capillary oxygen saturation, hemoglobin concentration, blood flow, and blood velocity at 2-mm and 8-mm depths in the cervical skin of 91 patients before neck dissection in a maxillofacial unit of a university hospital in Munich, Germany. Parameters were evaluated for differences between patients with irradiation (24) and without (67) and patients with wound healing disorders (25) and without (66) (univariate or multivariate statistical analyses). Velocity at 2 mm was lower in irradiated skin (P = .016). Flow at 2 mm was higher in patients with wound healing disorders (P = .018). High flow values could help to identify patients at risk for cervical wound healing disorders. Copyright © 2014 Elsevier Inc. All rights reserved.

Analysis of Arterial Blood Gas Report in Chronic Kidney Diseases - Comparison between Bedside and Multistep Systematic Method.

PubMed

Ghatak, Ishita; Dhat, Vaishali; Tilak, Mona A; Roy, Indranath

2016-08-01

Acid Base Disorders (ABDs) are commonly encountered in critically ill Chronic Kidney Disease (CKD) patients. Timely and correct analysis of Arterial Blood Gases (ABG) is critical for the diagnosis, treatment and prediction of outcome of the patients. The aim was to explore type and prevalence of ABDs in 31 critically ill CKD patients from a tertiary care hospital in Maharashtra, to compare two methods of analysis- bedside and systematic approaches and to clinically correlate the nature of ABDs in these patients. The initial ABG reports of 31 consecutive CKD patients were analysed by two methods. Medica Easy stat analyser was the equipment for analysis with Principle of potentiometry and ion selective electrode for pH and pCO2 and amperometry for pO2. Serum albumin was also measured by Bromocresol green dye binding method using liquixx albumin kit in Erba XL 300 autoanalyser. Chi-square test was used for statistical analysis using Epi Info version 3.5.4 and SPSS 14.0 softwares. The systematic method showed a significantly higher prevalence of mixed disorders (50%) compared to bedside method (12.9%). Most prevalent disorder by bedside method was metabolic acidosis in 15 cases (48.39%). By the systematic method, 3 reports were invalid. As a single category, most prevalent type was both simple respiratory alkalosis and mixed metabolic acidosis with respiratory alkalosis- 6 of 31 cases in each type (19.36% each). As a whole, metabolic acidosis (including both High Anion Gap Metabolic Acidosis or HAGMA and Non Anion Gap Metabolic Acidosis or NAGMA with 4 in each type) was most prevalent- 8 of 31(25.8%). Systematic approach was more effective in diagnosing mixed acid base disorders. By systematic method the findings of analysis in most cases could be correlated with the clinical condition and provisional diagnosis. Thus interpretation of ABDs by using stepwise approach could be useful to the clinicians in early diagnosis and management of the patients.

Using Support Vector Machine to identify imaging biomarkers of neurological and psychiatric disease: a critical review.

PubMed

Orrù, Graziella; Pettersson-Yeo, William; Marquand, Andre F; Sartori, Giuseppe; Mechelli, Andrea

2012-04-01

Standard univariate analysis of neuroimaging data has revealed a host of neuroanatomical and functional differences between healthy individuals and patients suffering a wide range of neurological and psychiatric disorders. Significant only at group level however these findings have had limited clinical translation, and recent attention has turned toward alternative forms of analysis, including Support-Vector-Machine (SVM). A type of machine learning, SVM allows categorisation of an individual's previously unseen data into a predefined group using a classification algorithm, developed on a training data set. In recent years, SVM has been successfully applied in the context of disease diagnosis, transition prediction and treatment prognosis, using both structural and functional neuroimaging data. Here we provide a brief overview of the method and review those studies that applied it to the investigation of Alzheimer's disease, schizophrenia, major depression, bipolar disorder, presymptomatic Huntington's disease, Parkinson's disease and autistic spectrum disorder. We conclude by discussing the main theoretical and practical challenges associated with the implementation of this method into the clinic and possible future directions. Copyright © 2012 Elsevier Ltd. All rights reserved.

Prediction of virus-host protein-protein interactions mediated by short linear motifs.

PubMed

Becerra, Andrés; Bucheli, Victor A; Moreno, Pedro A

2017-03-09

Short linear motifs in host organisms proteins can be mimicked by viruses to create protein-protein interactions that disable or control metabolic pathways. Given that viral linear motif instances of host motif regular expressions can be found by chance, it is necessary to develop filtering methods of functional linear motifs. We conduct a systematic comparison of linear motifs filtering methods to develop a computational approach for predicting motif-mediated protein-protein interactions between human and the human immunodeficiency virus 1 (HIV-1). We implemented three filtering methods to obtain linear motif sets: 1) conserved in viral proteins (C), 2) located in disordered regions (D) and 3) rare or scarce in a set of randomized viral sequences (R). The sets C,D,R are united and intersected. The resulting sets are compared by the number of protein-protein interactions correctly inferred with them - with experimental validation. The comparison is done with HIV-1 sequences and interactions from the National Institute of Allergy and Infectious Diseases (NIAID). The number of correctly inferred interactions allows to rank the interactions by the sets used to deduce them: D∪R and C. The ordering of the sets is descending on the probability of capturing functional interactions. With respect to HIV-1, the sets C∪R, D∪R, C∪D∪R infer all known interactions between HIV1 and human proteins mediated by linear motifs. We found that the majority of conserved linear motifs in the virus are located in disordered regions. We have developed a method for predicting protein-protein interactions mediated by linear motifs between HIV-1 and human proteins. The method only use protein sequences as inputs. We can extend the software developed to any other eukaryotic virus and host in order to find and rank candidate interactions. In future works we will use it to explore possible viral attack mechanisms based on linear motif mimicry.

Molecular nonlinear dynamics and protein thermal uncertainty quantification

PubMed Central

Xia, Kelin; Wei, Guo-Wei

2014-01-01

This work introduces molecular nonlinear dynamics (MND) as a new approach for describing protein folding and aggregation. By using a mode system, we show that the MND of disordered proteins is chaotic while that of folded proteins exhibits intrinsically low dimensional manifolds (ILDMs). The stability of ILDMs is found to strongly correlate with protein energies. We propose a novel method for protein thermal uncertainty quantification based on persistently invariant ILDMs. Extensive comparison with experimental data and the state-of-the-art methods in the field validate the proposed new method for protein B-factor prediction. PMID:24697365

Computational Prediction of Protein Epsilon Lysine Acetylation Sites Based on a Feature Selection Method.

PubMed

Gao, JianZhao; Tao, Xue-Wen; Zhao, Jia; Feng, Yuan-Ming; Cai, Yu-Dong; Zhang, Ning

2017-01-01

Lysine acetylation, as one type of post-translational modifications (PTM), plays key roles in cellular regulations and can be involved in a variety of human diseases. However, it is often high-cost and time-consuming to use traditional experimental approaches to identify the lysine acetylation sites. Therefore, effective computational methods should be developed to predict the acetylation sites. In this study, we developed a position-specific method for epsilon lysine acetylation site prediction. Sequences of acetylated proteins were retrieved from the UniProt database. Various kinds of features such as position specific scoring matrix (PSSM), amino acid factors (AAF), and disorders were incorporated. A feature selection method based on mRMR (Maximum Relevance Minimum Redundancy) and IFS (Incremental Feature Selection) was employed. Finally, 319 optimal features were selected from total 541 features. Using the 319 optimal features to encode peptides, a predictor was constructed based on dagging. As a result, an accuracy of 69.56% with MCC of 0.2792 was achieved. We analyzed the optimal features, which suggested some important factors determining the lysine acetylation sites. We developed a position-specific method for epsilon lysine acetylation site prediction. A set of optimal features was selected. Analysis of the optimal features provided insights into the mechanism of lysine acetylation sites, providing guidance of experimental validation. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.

The Use of Immersive Virtual Reality (VR) to Predict the Occurrence 6 Months Later of Paranoid Thinking and Posttraumatic Stress Symptoms Assessed by Self-Report and Interviewer Methods: A Study of Individuals Who Have Been Physically Assaulted

PubMed Central

2014-01-01

Presentation of social situations via immersive virtual reality (VR) has the potential to be an ecologically valid way of assessing psychiatric symptoms. In this study we assess the occurrence of paranoid thinking and of symptoms of posttraumatic stress disorder (PTSD) in response to a single neutral VR social environment as predictors of later psychiatric symptoms assessed by standard methods. One hundred six people entered an immersive VR social environment (a train ride), presented via a head-mounted display, 4 weeks after having attended hospital because of a physical assault. Paranoid thinking about the neutral computer-generated characters and the occurrence of PTSD symptoms in VR were assessed. Reactions in VR were then used to predict the occurrence 6 months later of symptoms of paranoia and PTSD, as assessed by standard interviewer and self-report methods. Responses to VR predicted the severity of paranoia and PTSD symptoms as assessed by standard measures 6 months later. The VR assessments also added predictive value to the baseline interviewer methods, especially for paranoia. Brief exposure to environments presented via virtual reality provides a symptom assessment with predictive ability over many months. VR assessment may be of particular benefit for difficult to assess problems, such as paranoia, that have no gold standard assessment method. In the future, VR environments may be used in the clinic to complement standard self-report and clinical interview methods. PMID:24708073

The use of immersive virtual reality (VR) to predict the occurrence 6 months later of paranoid thinking and posttraumatic stress symptoms assessed by self-report and interviewer methods: a study of individuals who have been physically assaulted.

PubMed

Freeman, Daniel; Antley, Angus; Ehlers, Anke; Dunn, Graham; Thompson, Claire; Vorontsova, Natasha; Garety, Philippa; Kuipers, Elizabeth; Glucksman, Edward; Slater, Mel

2014-09-01

Presentation of social situations via immersive virtual reality (VR) has the potential to be an ecologically valid way of assessing psychiatric symptoms. In this study we assess the occurrence of paranoid thinking and of symptoms of posttraumatic stress disorder (PTSD) in response to a single neutral VR social environment as predictors of later psychiatric symptoms assessed by standard methods. One hundred six people entered an immersive VR social environment (a train ride), presented via a head-mounted display, 4 weeks after having attended hospital because of a physical assault. Paranoid thinking about the neutral computer-generated characters and the occurrence of PTSD symptoms in VR were assessed. Reactions in VR were then used to predict the occurrence 6 months later of symptoms of paranoia and PTSD, as assessed by standard interviewer and self-report methods. Responses to VR predicted the severity of paranoia and PTSD symptoms as assessed by standard measures 6 months later. The VR assessments also added predictive value to the baseline interviewer methods, especially for paranoia. Brief exposure to environments presented via virtual reality provides a symptom assessment with predictive ability over many months. VR assessment may be of particular benefit for difficult to assess problems, such as paranoia, that have no gold standard assessment method. In the future, VR environments may be used in the clinic to complement standard self-report and clinical interview methods. PsycINFO Database Record (c) 2014 APA, all rights reserved.

The Iowa Gambling Task and the three fallacies of dopamine in gambling disorder

PubMed Central

Linnet, Jakob

2013-01-01

Gambling disorder sufferers prefer immediately larger rewards despite long term losses on the Iowa Gambling Task (IGT), and these impairments are associated with dopamine dysfunctions. Dopamine is a neurotransmitter linked with temporal and structural dysfunctions in substance use disorder, which has supported the idea of impaired decision-making and dopamine dysfunctions in gambling disorder. However, evidence from substance use disorders cannot be directly transferred to gambling disorder. This article focuses on three hypotheses of dopamine dysfunctions in gambling disorder, which appear to be “fallacies,” i.e., have not been supported in a series of positron emission tomography (PET) studies. The first “fallacy” suggests that gambling disorder sufferers have lower dopamine receptor availability, as seen in substance use disorders. However, no evidence supported this hypothesis. The second “fallacy” suggests that maladaptive decision-making in gambling disorder is associated with higher dopamine release during gambling. No evidence supported the hypothesis, and the literature on substance use disorders offers limited support for this hypothesis. The third “fallacy” suggests that maladaptive decision-making in gambling disorder is associated with higher dopamine release during winning. The evidence did not support this hypothesis either. Instead, dopaminergic coding of reward prediction and uncertainty might better account for dopamine dysfunctions in gambling disorder. Studies of reward prediction and reward uncertainty show a sustained dopamine response toward stimuli with maximum uncertainty, which may explain the continued dopamine release and gambling despite losses in gambling disorder. The findings from the studies presented here are consistent with the notion of dopaminergic dysfunctions of reward prediction and reward uncertainty signals in gambling disorder. PMID:24115941

Frontolimbic Neural Circuit Changes in Emotional Processing and Inhibitory Control Associated With Clinical Improvement Following Transference-Focused Psychotherapy in Borderline Personality Disorder

PubMed Central

Perez, David L.; Vago, David R.; Pan, Hong; Root, James; Tuescher, Oliver; Fuchs, Benjamin H.; Leung, Lorene; Epstein, Jane; Cain, Nicole M.; Clarkin, John F.; Lenzenweger, Mark F.; Kernberg, Otto F.; Levy, Kenneth N.; Silbersweig, David A.; Stern, Emily

2015-01-01

Aim Borderline personality disorder (BPD) is characterized by self-regulation deficits, including impulsivity and affective lability. Transference-Focused Psychotherapy (TFP) is an evidence-based treatment proven to reduce symptoms across multiple cognitive-emotional domains in BPD. This pilot study aims to investigate neural activation associated with, and predictive of, clinical improvement in emotional and behavioral regulation in BPD following TFP. Methods BPD subjects (N=10) were scanned pre- and post-TFP treatment using a within-subjects design. A disorder-specific emotional-linguistic go/no-go fMRI paradigm was used to probe the interaction between negative emotional processing and inhibitory control. Results Analyses demonstrated significant treatment-related effects with relative increased dorsal prefrontal (dorsal anterior cingulate, dorsolateral prefrontal, and frontopolar cortices) activation, and relative decreased ventrolateral prefrontal cortex and hippocampal activation following treatment. Clinical improvement in constraint correlated positively with relative increased left dorsal anterior cingulate cortex activation. Clinical improvement in affective lability correlated positively with left posterior-medial orbitofrontal cortex/ventral striatum activation, and negatively with right amygdala/parahippocampal activation. Post-treatment improvements in constraint were predicted by pre-treatment right dorsal anterior cingulate cortex hypoactivation, and pre-treatment left posterior-medial orbitofrontal cortex/ventral striatum hypoactivation predicted improvements in affective lability. Conclusions These preliminary findings demonstrate potential TFP-associated alterations in frontolimbic circuitry and begin to identify neural mechanisms associated with a psychodynamically-oriented psychotherapy. PMID:26289141

Intolerance of uncertainty and transdiagnostic group cognitive behavioral therapy for anxiety.

PubMed

Talkovsky, Alexander M; Norton, Peter J

2016-06-01

Recent evidence suggests intolerance of uncertainty (IU) is a transdiagnostic variable elevated across anxiety disorders. No studies have investigated IU's response to transdiagnostic group CBT for anxiety (TGCBT). This study evaluated IU outcomes following TGCBT across anxiety disorders. 151 treatment-seekers with primary diagnoses of social anxiety disorder, panic disorder, or GAD were evaluated before and after 12 weeks of TGCBT and completed self-report questionnaires at pre-, mid-, and post-treatment. IU decreased significantly following treatment. Decreases in IU predicted improvements in clinical presentation across diagnoses. IU interacted with time to predict improvement in clinical presentation irrespective of primary diagnosis. IU also interacted with time to predict improvement in clinical presentation although interactions of time with diagnosis-specific measures did not. IUS interacted with time to predict reduction in anxiety and fear symptoms, and inhibitory IU interacted with time to predicted reductions in anxiety symptoms but prospective IU did not. IU appears to be an important transdiagnostic variable in CBT implicated in both initial presentation and treatment change. Further implications are discussed. Published by Elsevier Ltd.

Rapid improvements in emotion regulation predict intensive treatment outcome for patients with bulimia nervosa and purging disorder.

PubMed

MacDonald, Danielle E; Trottier, Kathryn; Olmsted, Marion P

2017-10-01

Rapid and substantial behavior change (RSBC) early in cognitive behavior therapy (CBT) for eating disorders is the strongest known predictor of treatment outcome. Rapid change in other clinically relevant variables may also be important. This study examined whether rapid change in emotion regulation predicted treatment outcomes, beyond the effects of RSBC. Participants were diagnosed with bulimia nervosa or purging disorder (N = 104) and completed ≥6 weeks of CBT-based intensive treatment. Hierarchical regression models were used to test whether rapid change in emotion regulation variables predicted posttreatment outcomes, defined in three ways: (a) binge/purge abstinence; (b) cognitive eating disorder psychopathology; and (c) depression symptoms. Baseline psychopathology and emotion regulation difficulties and RSBC were controlled for. After controlling for baseline variables and RSBC, rapid improvement in access to emotion regulation strategies made significant unique contributions to the prediction of posttreatment binge/purge abstinence, cognitive psychopathology of eating disorders, and depression symptoms. Individuals with eating disorders who rapidly improve their belief that they can effectively modulate negative emotions are more likely to achieve a variety of good treatment outcomes. This supports the formal inclusion of emotion regulation skills early in CBT, and encouraging patient beliefs that these strategies are helpful. © 2017 Wiley Periodicals, Inc.

Predictive validity of childhood oppositional defiant disorder and conduct disorder: implications for the DSM-V.

PubMed

Burke, Jeffrey D; Waldman, Irwin; Lahey, Benjamin B

2010-11-01

Data are presented from 3 studies of children and adolescents to evaluate the predictive validity of childhood oppositional defiant disorder (ODD) and conduct disorder (CD) as defined in the Diagnostic and Statistical Manual of Mental Disorders, 4th edition (DSM-IV; American Psychiatric Association, 1994) and the International Classification of Diseases, Version 10 (ICD-10; World Health Organization, 1992). The present analyses strongly support the predictive validity of these diagnoses by showing that they predict both future psychopathology and enduring functional impairment. Furthermore, the present findings generally support the hierarchical developmental hypothesis in DSM-IV that some children with ODD progress to childhood-onset CD, and some youth with CD progress to antisocial personality disorder (APD). Nonetheless, they reveal that CD does not always co-occur with ODD, particularly during adolescence. Importantly, the present findings suggest that ICD-10 diagnostic criteria for ODD, which treat CD symptoms as ODD symptoms when diagnostic criteria for CD are not met, identify more functionally impaired children than the more restrictive DSM-IV definition of ODD. Filling this "hole" in the DSM-IV criteria for ODD should be a priority for the DSM-V. In addition, the present findings suggest that although the psychopathic trait of interpersonal callousness in childhood independently predicts future APD, these findings do not confirm the hypothesis that callousness distinguishes a subset of children with CD with an elevated risk for APD. PsycINFO Database Record (c) 2010 APA, all rights reserved

[Limitation of MRI in the diagnosis of the spinal cord and spine disorders].

PubMed

Mori, Harushi

2010-05-01

Here, we review of the efficacy of radioimaging method in the diagnosis of the spinal cord and spine disorders. The simplest solution for a successful diagnosis is to scan wide field in each image. Nothing will start unless one recognizes the imaging findings. Analysis based on the MECE principle, mutually exclusive and collectively exhaustive, is performed in four ways, that is deductive, fractionation, longitudinal and priority methods. Because purpose determines the means, structual constructivism suggests that one should employ the appropriate method depending on the situation (interest-correlative approach). The practical conventional procedure to attain a diagnosis is as follows. First identify the location of the lesion by using MRI or other modalities. The location of the lesion shorten the list of differential diagnosis. Second, obtain maximum information on the characteristics of the lesion in order to speculate the pathology. Third, look for any associated findings such as tortuous vasculature around the spinal cord. Fourth, refer to all the available information for example, chief complaint, clinical history, previous history, family history, physical findings, physiological findings, laboratory data, previous images, other modalities and so on. And finally, one should consult with the attending physician and colleagues when in doubt. However, because rationality (mathematical expectation: posterior probability or positive predictive value with positive findings), predicted utility, and emotions affect human beings while making decisions, it seems impossible to completely avoid oversights and misdiagnosis.

Acid-base disorders in critically ill neonates

PubMed Central

Lekhwani, S.; Shanker, V.; Gathwala, G.; Vaswani, N. D.

2010-01-01

Objective: To study acid–base imbalance in common pediatric diseases (such as sepsis, bronchopneumonia, diarrhea, birth-asphyxia etc.) in neonates. Design and Setting: An observational study was conducted in an emergency room of a tertiary teaching care hospital in Haryana, India. Patients and Methods: Fifty neonates (from first hour to one month) attending pediatric emergency services with various ailments. Blood gas analysis, electrolytes, plasma lactate, and plasma albumin were estimated in neonates. Results: Metabolic acidosis was the most common acid–base disorder. Hyperlactatemia was observed in more than half of such cases. Birth asphyxia was another common disorder with the highest mortality in neonates followed by bronchopneumonia and sepsis. Significant correlation between mortality and critical values of lactate was observed. Conclusion: Birth asphyxia with high-lactate levels in neonates constituted major alterations in acid–base disorders seen in an emergency room of a tertiary teaching care hospital. Plasma lactate concentration measurement provides an invaluable tool to assess type of metabolic acidosis in addition to predicting mortality in these neonates. PMID:20859489

Anti-site disorder and improved functionality of Mn₂NiX (X = Al, Ga, In, Sn) inverse Heusler alloys

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

Paul, Souvik; Kundu, Ashis; Ghosh, Subhradip, E-mail: subhra@iitg.ernet.in

2014-10-07

Recent first-principles calculations have predicted Mn₂NiX (X = Al, Ga, In, Sn) alloys to be magnetic shape memory alloys. Moreover, experiments on Mn₂NiGa and Mn₂NiSn suggest that the alloys deviate from the perfect inverse Heusler arrangement and that there is chemical disorder at the sublattices with tetrahedral symmetry. In this work, we investigate the effects of such chemical disorder on phase stabilities and magnetic properties using first-principles electronic structure methods. We find that except Mn₂NiAl, all other alloys show signatures of martensitic transformations in presence of anti-site disorder at the sublattices with tetrahedral symmetry. This improves the possibilities of realizingmore » martensitic transformations at relatively low fields and the possibilities of obtaining significantly large inverse magneto-caloric effects, in comparison to perfect inverse Heusler arrangement of atoms. We analyze the origin of such improvements in functional properties by investigating electronic structures and magnetic exchange interactions.« less

Screening efficiency of the self-report version of the Multidimensional Anxiety Scale for Children in a highly comorbid inpatient sample.

PubMed

Skarphedinsson, Gudmundur; Villabø, Marianne A; Lauth, Bertrand

2015-01-01

The Multidimensional Anxiety Scale for Children (MASC) is a widely used self-report questionnaire for the assessment of anxiety symptoms in children and adolescents with well documented predictive validity of the total score and subscales in internalizing and mixed clinical samples. However, no data exist on the screening efficiency in an inpatient sample of adolescents. To examine the psychometric properties and screening efficiency of the MASC in a high comorbid inpatient sample. The current study used receiver operating characteristic (ROC) analyses to investigate the predictive value of the MASC total and subscale scores for the Schedule for Affective Disorders and Schizophrenia for School-age children-Present and Lifetime version (K-SADS-PL), DSM-IV diagnoses of generalized anxiety disorder (GAD), separation anxiety disorder (SAD) and social phobia (SoP) in a highly comorbid inpatient sample of adolescents (11-18 years). The MASC total score predicted any anxiety disorder (AD) and GAD moderately well. Physical symptoms predicted GAD moderately well. Social anxiety and separation anxiety/panic did not predict SoP or SAD, respectively. Physical symptoms and harm avoidance also predicted the presence of major depressive disorder. The findings support the utility of the MASC total score to predict the presence of any AD and GAD. However, the utility of the social anxiety and separation anxiety/panic subscales showed limited utility to predict the presence of SAD and SoP, respectively. The MASC has probably a more limited function in screening for AD among a highly comorbid inpatient sample of severely affected adolescents. Our results should be interpreted in the light of a small, mixed sample of inpatient adolescents.

Poor Response Inhibition as a Predictor of Problem Drinking and Illicit Drug Use in Adolescents at Risk for Alcoholism and Other Substance Use Disorders

ERIC Educational Resources Information Center

Nigg, Joel T.; Wong, Maria M.; Martel, Michelle M.; Jester, Jennifer M.; Puttler, Leon I.; Glass, Jennifer M.; Adams, Kenneth M.; Fitzgerald, Hiram E.; Zucker, Robert A.

2006-01-01

Objective: To evaluate the predictive power of executive functions, in particular, response inhibition, in relation to alcohol-related problems and illicit drug use in adolescence. Method: A total of 498 children from 275 families from a longitudinal high-risk study completed executive function measures in early and late adolescence and lifetime…

Characteristics of people with self-reported stress-precipitated seizures.

PubMed

Privitera, Michael; Walters, Michael; Lee, Ikjae; Polak, Emily; Fleck, Adrienne; Schwieterman, Donna; Haut, Sheryl R

2014-12-01

Stress is the most common patient-reported seizure precipitant. We aimed to determine mood and epilepsy characteristics of people who report stress-precipitated seizures. Sequential patients at a tertiary epilepsy center were surveyed about stress as a seizure precipitant. We asked whether acute (lasting minutes-hours) or chronic (lasting days-months) stress was a seizure precipitant, whether stress reduction had been tried, and what effect stress reduction had on seizure frequency. We collected information on antiepileptic drugs, history of depression and anxiety disorder, prior or current treatment for depression or anxiety, and scores on the Neurological Disorders Depression Inventory (NDDI-E) and Generalized Anxiety Disorders-7 (GAD-7) instruments, which are administered at every visit in our Epilepsy Center. We also asked whether respondents thought that they could predict their seizures to determine if stress as a seizure precipitant was correlated with seizure self-prediction. Two hundred sixty-six subjects were included: 219 endorsed stress as a seizure precipitant [STRESS (+)] and 47 did not [STRESS (-)]. Among STRESS (+) subjects, 85% endorsed chronic stress as a seizure precipitant, and 68% endorsed acute stress as a seizure precipitant. In STRESS (+) subjects, 57% had used some type of relaxation or stress reduction method (most commonly yoga, exercise and meditation), and, of those who tried, 88% thought that these methods improved seizures. Among STRESS (-) subjects, 25% had tried relaxation or stress reduction, and 71% thought that seizures improved. Although univariate analysis showed multiple associations with stress as a seizure precipitant, in the multivariable logistic regression, only the GAD-7 score was associated with STRESS (+) (OR = 1.18 [1.03-1.35], p = 0.017). Subjects who reported stress as a seizure precipitant were more likely to report an ability to self-predict seizures (p < 0.001). Stress-precipitated seizures are commonly reported by patients, may be associated with either acute stress or chronic stress, and are associated with higher scores on anxiety tests. Patients frequently use stress reduction methods to self-treat and report high success rates. A prospective, randomized trial of stress reduction for seizures is indicated. Copyright © 2014 Elsevier Inc. All rights reserved.

Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT-HD.

PubMed

Long, Jeffrey D; Paulsen, Jane S

2015-10-01

It is well known in Huntington's disease that cytosine-adenine-guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years. One thousand seventy-eight Huntington's disease gene-expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean = 5, standard deviation = 3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right-censored data. Adding 34 variables along with cytosine-adenine-guanine and age substantially increased predictive accuracy relative to cytosine-adenine-guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5-y predictive accuracy than when using cytosine-adenine-guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model. Measurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine-adenine-guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection. © 2015 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Discrepancies between self and observer ratings of depression. The relationship to demographic, clinical and personality variables.

PubMed

Enns, M W; Larsen, D K; Cox, B J

2000-10-01

The observer-rated Hamilton depression scale (HamD) and the self-report Beck Depression Inventory (BDI) are among the most commonly used rating scales for depression, and both have well demonstrated reliability and validity. However, many depressed subjects have discrepant scores on these two assessment methods. The present study evaluated the ability of demographic, clinical and personality factors to account for the discrepancies observed between BDI and HamD ratings. The study group consisted of 94 SCID-diagnosed outpatients with a current major depressive disorder. Subjects were rated with the 21-item HamD and completed the BDI and the NEO-Five Factor Inventory. Younger age, higher educational attainment, and depressive subtype (atypical, non-melancholic) were predictive of higher BDI scores relative to HamD observer ratings. In addition, high neuroticism, low extraversion and low agreeableness were associated with higher endorsement of depressive symptoms on the BDI relative to the HamD. In general, these predictive variables showed a greater ability to explain discrepancies between self and observer ratings of psychological symptoms of depression compared to somatic symptoms of depression. The study does not determine which aspects of neuroticism and extraversion contribute to the observed BDI/HamD discrepancies. Depression ratings obtained with the BDI and HamD are frequently discordant and a number of patient characteristics robustly predict the discrepancy between these two rating methods. The value of multi-modal assessment in the conduct of research on depressive disorders is re-affirmed.

The Psychologist as an Interlocutor in Autism Spectrum Disorder Assessment: Insights From a Study of Spontaneous Prosody

PubMed Central

Bone, Daniel; Lee, Chi-Chun; Black, Matthew P.; Williams, Marian E.; Lee, Sungbok; Levitt, Pat; Narayanan, Shrikanth

2015-01-01

Purpose The purpose of this study was to examine relationships between prosodic speech cues and autism spectrum disorder (ASD) severity, hypothesizing a mutually interactive relationship between the speech characteristics of the psychologist and the child. The authors objectively quantified acoustic-prosodic cues of the psychologist and of the child with ASD during spontaneous interaction, establishing a methodology for future large-sample analysis. Method Speech acoustic-prosodic features were semiautomatically derived from segments of semistructured interviews (Autism Diagnostic Observation Schedule, ADOS; Lord, Rutter, DiLavore, & Risi, 1999; Lord et al., 2012) with 28 children who had previously been diagnosed with ASD. Prosody was quantified in terms of intonation, volume, rate, and voice quality. Research hypotheses were tested via correlation as well as hierarchical and predictive regression between ADOS severity and prosodic cues. Results Automatically extracted speech features demonstrated prosodic characteristics of dyadic interactions. As rated ASD severity increased, both the psychologist and the child demonstrated effects for turn-end pitch slope, and both spoke with atypical voice quality. The psychologist’s acoustic cues predicted the child’s symptom severity better than did the child’s acoustic cues. Conclusion The psychologist, acting as evaluator and interlocutor, was shown to adjust his or her behavior in predictable ways based on the child’s social-communicative impairments. The results support future study of speech prosody of both interaction partners during spontaneous conversation, while using automatic computational methods that allow for scalable analysis on much larger corpora. PMID:24686340

Treatment Compliance in Adolescents after Attempted Suicide: A Two-Year Follow-Up Study

PubMed Central

Burns, Craig D.; Cortell, Ranon; Wagner, Barry M.

2008-01-01

Objective To describe mental health services utilization for adolescents after attempted suicide, explore factors related to treatment compliance, and determine the relationship between compliance and suicidality. Method Eighty-five adolescents (ages 13–18) who had attempted suicide and their families were recruited from four psychiatric hospitals and were evaluated for symptoms of psychopathology. Subsequent assessments were conducted every six months for two years to determine treatment utilization, treatment compliance (non-adherence to medication regimes or non-attendance of psychosocial treatments against provider advice), attitudes towards treatments utilized, and further suicide attempts and ideation. Results Adolescents with a disruptive behavior disorder diagnosis were less compliant with individual psychotherapy, as were those with a substance dependence other than alcohol or marijuana. Those with an affective/anxiety disorder diagnosis were less compliant with psychopharmacological interventions (6 months post attempt). Parental perception of treatment as helpful was predictive of greater compliance, while adolescents' attitudes towards treatment were not predictive of compliance. Finally, compliance with treatment was not generally predictive of future suicidality. Conclusion Interventions focused on increasing compliance with mental health treatment for adolescent suicide attempters should focus on specific child psychopathology, as well as parental attitudes towards treatment. PMID:18596554

Longitudinal connectome-based predictive modeling for REM sleep behavior disorder from structural brain connectivity

NASA Astrophysics Data System (ADS)

Giancardo, Luca; Ellmore, Timothy M.; Suescun, Jessika; Ocasio, Laura; Kamali, Arash; Riascos-Castaneda, Roy; Schiess, Mya C.

2018-02-01

Methods to identify neuroplasticity patterns in human brains are of the utmost importance in understanding and potentially treating neurodegenerative diseases. Parkinson disease (PD) research will greatly benefit and advance from the discovery of biomarkers to quantify brain changes in the early stages of the disease, a prodromal period when subjects show no obvious clinical symptoms. Diffusion tensor imaging (DTI) allows for an in-vivo estimation of the structural connectome inside the brain and may serve to quantify the degenerative process before the appearance of clinical symptoms. In this work, we introduce a novel strategy to compute longitudinal structural connectomes in the context of a whole-brain data-driven pipeline. In these initial tests, we show that our predictive models are able to distinguish controls from asymptomatic subjects at high risk of developing PD (REM sleep behavior disorder, RBD) with an area under the receiving operating characteristic curve of 0.90 (p<0.001) and a longitudinal dataset of 46 subjects part of the Parkinson's Progression Markers Initiative. By analyzing the brain connections most relevant for the predictive ability of the best performing model, we find connections that are biologically relevant to the disease.

Differentiating normal and disordered personality using the General Assessment of Personality Disorder (GAPD).

PubMed

Hentschel, Annett G; John Livesley, W

2013-05-01

Criteria to differentiate personality disorder from extremes of normal personality variations are important given growing interest in dimensional classification because an extreme level of a personality dimension does not necessarily indicate disorder. The DSM-5 proposed classification of personality disorder offers a definition of general personality disorder based on chronic interpersonal and self/identity pathology. The ability of this approach to differentiate personality disorder from other mental disorders was evaluated using a self-report questionnaire, the General Assessment of Personality Disorder (GAPD). This measure was administered to a sample of psychiatric patients (N = 149) from different clinical sub-sites. Patients were divided into personality disordered and non-personality disordered groups on the basis of the Structured Clinical Interview for DSM-IV Axis II Disorders (SCID-II). The results showed a hit rate of 82% correct identified patients and a good accuracy of the predicted model. There was a substantial agreement between SCID-II interview and GAPD personality disorder diagnoses. The GAPD appears to predict personality disorder in general, which provides support of the DSM-5 general diagnostic criteria of personality disorder. Copyright © 2012 John Wiley & Sons, Ltd.

DSM-5 antisocial personality disorder: predictive validity in a prison sample.

PubMed

Edens, John F; Kelley, Shannon E; Lilienfeld, Scott O; Skeem, Jennifer L; Douglas, Kevin S

2015-04-01

Symptoms of antisocial personality disorder (ASPD), particularly remorselessness, are frequently introduced in legal settings as a risk factor for future violence in prison, despite a paucity of research on the predictive validity of this disorder. We examined whether an ASPD diagnosis or symptom-criteria counts could prospectively predict any form of institutional misconduct, as well as aggressive and violent infractions among newly admitted prisoners. Adult male (n = 298) and female (n = 55) offenders were recruited from 4 prison systems across the United States. At the time of study enrollment, diagnostic information was collected using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders (4th ed.; DSM-IV; APA, 1994) Axis II Personality Disorders (SCID-II; First, Gibbon, Spitzer, Williams, & Benjamin, 1997) supplemented by a detailed review of official records. Disciplinary records were obtained from inmates' respective prisons covering a 1-year period following study enrollment and misconduct was categorized hierarchically as any (general), aggressive (verbal/physical), or violent (physical). Dichotomous ASPD diagnoses and adult symptom-criteria counts did not significantly predict institutional misconduct across our 3 outcome variables, with effect sizes being close to 0 in magnitude. The symptom of remorselessness in particular showed no relation to future misconduct in prison. Childhood symptom counts of conduct disorder demonstrated modest predictive utility. Our results offer essentially no support for the claim that ASPD diagnoses can predict institutional misconduct in prison, regardless of the number of adult symptoms present. In forensic contexts, testimony that an ASPD diagnosis identifies defendants who will pose a serious threat while incarcerated in prison presently lacks any substantial scientific foundation. (c) 2015 APA, all rights reserved).

Does specific psychopathology predict development of psychosis in ultra high-risk (UHR) patients?

PubMed

Thompson, Andrew; Nelson, Barnaby; Bruxner, Annie; O'Connor, Karen; Mossaheb, Nilufar; Simmons, Magenta B; Yung, Alison

2013-04-01

Studies have attempted to identify additional risk factors within the group identified as 'ultra high risk' (UHR) for developing psychotic disorders in order to characterise those at highest risk. However, these studies have often neglected clinical symptom types as additional risk factors. We aimed to investigate the relationship between baseline clinical psychotic or psychotic-like symptoms and the subsequent transition to a psychotic disorder in a UHR sample. A retrospective 'case-control' methodology was used. We identified all individuals from a UHR clinic who had subsequently developed a psychotic disorder (cases) and compared these to a random sample of individuals from the clinic who did not become psychotic within the sampling time frame (controls). The sample consisted of 120 patients (60 cases, 60 controls). An audit tool was used to identify clinical symptoms reported at entry to the clinic (baseline) using the clinical file. Diagnosis at transition was assessed using the Operational Criteria for Psychotic Illness (OPCRIT) computer program. The relationship between transition to a psychotic disorder and baseline symptoms was explored using survival analysis. Presence of thought disorder, any delusions and elevated mood significantly predicted transition to a psychotic disorder. When other symptoms were adjusted for, only the presence of elevated mood significantly predicted subsequent transition (hazard ratio 2.69, p = 0.002). Thought disorder was a predictor of transition to a schizophrenia-like psychotic disorder (hazard ratio 3.69, p = 0.008). Few individual clinical symptoms appear to be predictive of transition to a psychotic disorder in the UHR group. Clinicians should be cautious about the use of clinical profile alone in such individuals when determining who is at highest risk.

Absence of back disorders in adults and work-related predictive factors in a 5-year perspective.

PubMed

Reigo, T; Tropp, H; Timpka, T

2001-06-01

Factors important for avoiding back disorders in different age-groups have seldom been compared and studied over time. We therefore set out to study age-related differences in socio-economic and work-related factors associated with the absence of back disorders in a 5-year comparative cohort study using a mailed questionnaire. Two subgroups (aged 25-34 and 54-59 years) derived from a representative sample of the Swedish population were followed at baseline, 1 year and 5 years. Questions were asked about the duration of back pain episodes, relapses, work changes and work satisfaction. A work adaptability, partnership, growth, affection, resolve (APGAR) score was included in the final questionnaire. Multivariate logistic regression was used to identify factors predicting the absence of back disorders. Absence of physically heavy work predicted an absence of back disorders [odds ratio (OR), 2.86; 95% confidence interval (CI), 1.3-6.3] in the older group. In the younger age-group, the absence of stressful work predicted absence of back disorders (OR, 2.0; 95% CI, 1.1-3.6). Thirty-seven per cent of the younger age-group and 43% of the older age-group did not experience any back pain episodes during the study period. The exploratory work APGAR scores indicated that back disorders were only associated with lower work satisfaction in the older group. The analyses point out the importance of avoiding perceived psychological stress in the young and avoiding perceived physically heavy work in the older age-group for avoiding back disorders. The results suggest a need for different programmes at workplaces to avoid back disorders depending on the age of the employees concerned.

Meal and snack-time eating disorder cognitions predict eating disorder behaviors and vice versa in a treatment seeking sample: A mobile technology based ecological momentary assessment study.

PubMed

Levinson, Cheri A; Sala, Margarita; Fewell, Laura; Brosof, Leigh C; Fournier, Lauren; Lenze, Eric J

2018-06-01

Individuals with eating disorders experience high anxiety when eating, which may contribute to the high relapse rates seen in the eating disorders. However, it is unknown if specific cognitions associated with such anxiety (e.g., fears of gaining weight) may lead to engagement in eating disorder behaviors (e.g., weighing oneself). Participants (N = 66) recently treated at a residential eating disorder facility and diagnosed with an eating disorder (primarily anorexia nervosa; n = 40; 60.6%) utilized a mobile application to answer questions about mealtime cognitions, anxiety, and eating disorder behaviors four times a day for one week. Hierarchical linear models using cross-lag analyses identified that there were quasi-causal (and sometimes reciprocal) within-person relationships between specific eating disorder cognitions and subsequent eating disorder behaviors. These cognitions predicted higher anxiety during the next meal and eating disorder pathology at one-month follow-up. Interventions personalized to target these specific cognitions in real time might reduce eating disorder relapse. Copyright © 2018 Elsevier Ltd. All rights reserved.

Yes: The Symptoms of OCD and Depression Are Discrete and Not Exclusively Negative Affectivity

PubMed Central

Moore, Kathleen A.; Howell, Jacqui

2017-01-01

Although Obsessive-Compulsive Disorder (OCD) and Depression are classified as separate disorders, the high incidence of co-morbidity and the strong correlations between measures of each has led to debate about the nature of their relationship. Some authors have proposed that OCD is in fact a mood disorder while others have suggested that the two disorders are grounded in negative affectivity. A third proposition is that depression is an essential part of OCD but that OCD is a separate disorder from depression. The aim in this study was to investigate these diverse propositions in a non-clinical sample and also to determine whether factors implicated in each, that is anxious and depressive cognitions, hopelessness, and self-criticism, would demonstrate commonality as predictors of the symptoms of OCD and of depression. Two hundred participants (59% female) (M age = 34 years, SD = 16) completed the Padua Inventory, Carroll Rating Scale, Cognitions Checklist, Self-Criticism Scale, Beck Hopelessness Scale, Buss-Durkee Hostility Inventory-Revised and a Negative Affectivity Schedule. Results indicated a strong correlation between OCD and depression, depression, and negative affectivity but a weaker relationship between OCD and negative affectivity. Path analyses revealed that both anxious and depressive cognitions, as well as hostility predicted both disorders but the Beta-weights were stronger on OCD. Self-criticism predicted only depression while hopelessness failed to predict either disorder but was itself predicted by depressive cognitions. Depression was a stronger indicator of negative affect than OCD and while OCD positively predicted depression, depression was a negative indicator of OCD. These results support the hypothesis that OCD and depression are discrete disorders and indicate that while depression is implicated in OCD, the reverse does not hold. While both disorders are related to negative affectivity, this relationship is much stronger for depression thus failing to confirm that both are subsumed by a common factor, in this case, negative affectivity. The proposition that depression is part of OCD but that OCD is not necessarily implicated in depression and is, in fact, a separate disorder, is supported by the current model. Further research is required to support the utility of the model in clinical samples. PMID:28553250

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

Ye Jia; Lawrence Berkeley Laboratory, Berkeley, California 94720-8250; Li Youhong

Theoretical predictions indicate that ordered alloys can spontaneously develop a steady-state nanoscale microstructure when irradiated with energetic particles. This behavior derives from a dynamical competition between disordering in cascades and thermally activated reordering, which leads to self-organization of the chemical order parameter. We test this possibility by combining molecular dynamics (MD) and kinetic Monte Carlo (KMC) simulations. We first generate realistic distributions of disordered zones for Ni{sub 3}Al irradiated with 70 keV He and 1 MeV Kr ions using MD and then input this data into KMC to obtain predictions of steady state microstructures as a function of the irradiationmore » flux. Nanoscale patterning is observed for Kr ion irradiations but not for He ion irradiations. We illustrate, moreover, using image simulations of these KMC microstructures, that high-resolution transmission electron microscopy can be employed to identify nanoscale patterning. Finally, we indicate how this method could be used to synthesize functional thin films, with potential for magnetic applications.« less

Predictors of course in obsessive-compulsive disorder: logistic regression versus Cox regression for recurrent events.

PubMed

Kempe, P T; van Oppen, P; de Haan, E; Twisk, J W R; Sluis, A; Smit, J H; van Dyck, R; van Balkom, A J L M

2007-09-01

Two methods for predicting remissions in obsessive-compulsive disorder (OCD) treatment are evaluated. Y-BOCS measurements of 88 patients with a primary OCD (DSM-III-R) diagnosis were performed over a 16-week treatment period, and during three follow-ups. Remission at any measurement was defined as a Y-BOCS score lower than thirteen combined with a reduction of seven points when compared with baseline. Logistic regression models were compared with a Cox regression for recurrent events model. Logistic regression yielded different models at different evaluation times. The recurrent events model remained stable when fewer measurements were used. Higher baseline levels of neuroticism and more severe OCD symptoms were associated with a lower chance of remission, early age of onset and more depressive symptoms with a higher chance. Choice of outcome time affects logistic regression prediction models. Recurrent events analysis uses all information on remissions and relapses. Short- and long-term predictors for OCD remission show overlap.

The Therapeutic Relationship in Cognitive-Behavioral Therapy and Pharmacotherapy for Anxious Youth

PubMed Central

Cummings, Colleen M.; Caporino, Nicole E.; Settipani, Cara A.; Read, Kendra L.; Compton, Scott N.; March, John; Sherrill, Joel; Piacentini, John; McCracken, James; Walkup, John; Ginsburg, Golda; Albano, Anne Marie; Rynn, Moira; Birmaher, Boris; Sakolsky, Dara; Gosch, Elizabeth; Keeton, Courtney; Kendall, Philip C.

2014-01-01

Objective Examine the therapeutic relationship with cognitive-behavioral therapists and with pharmacotherapists for youth from the Child/Adolescent Anxiety Multimodal Study (CAMS; Walkup et al., 2008). The therapeutic relationship was examined in relation to treatment outcomes. Method Participants were 488 youth (ages 7-17; 50% male) randomized to cognitive-behavioral therapy (CBT; Coping cat), pharmacotherapy (SRT; sertraline), their combination, or pill placebo. Participants met DSM-IV criteria for generalized anxiety disorder, social phobia, and/or separation anxiety disorder. The therapeutic relationship was assessed by youth-report at weeks 6 and 12 of treatment using the Child's Perception of Therapeutic Relationship scale. Outcome measures (Pediatric Anxiety Rating Scale; Clinical Global Impressions Scales) were completed by Independent Evaluators blind to condition. Results For youth who received CBT only, a stronger therapeutic relationship predicted positive treatment outcome. In contrast, the therapeutic relationship did not predict outcome for youth receiving sertraline, combined treatment, or placebo. Conclusions A therapeutic relationship may be important for anxious youth who receive CBT alone. PMID:23750468

The association between parental interaction style and children’s joint engagement in families with toddlers with autism

PubMed Central

Patterson, Stephanie Y; Elder, Lauren; Gulsrud, Amanda; Kasari, Connie

2014-01-01

Purpose This study examines the relationship between parental interaction style (responsive vs directive) and child-initiated joint engagement within caregiver–child interactions with toddlers diagnosed with autism spectrum disorders. Method Videotaped interactions of 85 toddler–caregiver dyads were coded for child engagement and both parental responsiveness and directiveness. Results Altogether, children spent less than one-third of the interaction jointly engaged. After controlling for child characteristics, parental style was associated with the initiator (child or parent) of joint engagement. Specifically, responsiveness predicted total time in child-initiated joint engagement, while directiveness predicted total time in parent-initiated joint engagement. Children’s social behaviours were associated with child-initiated joint engagement. Discussion Social initiations are a key target for children with autism spectrum disorders. Results demonstrate that child initiations and global social behaviour ratings are associated with parental responsivity. Responsivity may be a critical factor to facilitate children’s initiations. PMID:24104518

A Study of the Predictive Validity of the Children's Depression Inventory for Major Depression Disorder in Puerto Rican Adolescents

ERIC Educational Resources Information Center

Rivera-Medina, Carmen L.; Bernal, Guillermo; Rossello, Jeannette; Cumba-Aviles, Eduardo

2010-01-01

This study aims to evaluate the predictive validity of the Children's Depression Inventory items for major depression disorder (MDD) in an outpatient clinic sample of Puerto Rican adolescents. The sample consisted of 130 adolescents, 13 to 18 years old. The five most frequent symptoms of the Children's Depression Inventory that best predict the…

An application of analyzing the trajectories of two disorders: A parallel piecewise growth model of substance use and attention-deficit/hyperactivity disorder.

PubMed

Mamey, Mary Rose; Barbosa-Leiker, Celestina; McPherson, Sterling; Burns, G Leonard; Parks, Craig; Roll, John

2015-12-01

Researchers often want to examine 2 comorbid conditions simultaneously. One strategy to do so is through the use of parallel latent growth curve modeling (LGCM). This statistical technique allows for the simultaneous evaluation of 2 disorders to determine the explanations and predictors of change over time. Additionally, a piecewise model can help identify whether there are more than 2 growth processes within each disorder (e.g., during a clinical trial). A parallel piecewise LGCM was applied to self-reported attention-deficit/hyperactivity disorder (ADHD) and self-reported substance use symptoms in 303 adolescents enrolled in cognitive-behavioral therapy treatment for a substance use disorder and receiving either oral-methylphenidate or placebo for ADHD across 16 weeks. Assessing these 2 disorders concurrently allowed us to determine whether elevated levels of 1 disorder predicted elevated levels or increased risk of the other disorder. First, a piecewise growth model measured ADHD and substance use separately. Next, a parallel piecewise LGCM was used to estimate the regressions across disorders to determine whether higher scores at baseline of the disorders (i.e., ADHD or substance use disorder) predicted rates of change in the related disorder. Finally, treatment was added to the model to predict change. While the analyses revealed no significant relationships across disorders, this study explains and applies a parallel piecewise growth model to examine the developmental processes of comorbid conditions over the course of a clinical trial. Strengths of piecewise and parallel LGCMs for other addictions researchers interested in examining dual processes over time are discussed. (PsycINFO Database Record (c) 2015 APA, all rights reserved).

Neural mechanisms of reinforcement learning in unmedicated patients with major depressive disorder.

PubMed

Rothkirch, Marcus; Tonn, Jonas; Köhler, Stephan; Sterzer, Philipp

2017-04-01

According to current concepts, major depressive disorder is strongly related to dysfunctional neural processing of motivational information, entailing impairments in reinforcement learning. While computational modelling can reveal the precise nature of neural learning signals, it has not been used to study learning-related neural dysfunctions in unmedicated patients with major depressive disorder so far. We thus aimed at comparing the neural coding of reward and punishment prediction errors, representing indicators of neural learning-related processes, between unmedicated patients with major depressive disorder and healthy participants. To this end, a group of unmedicated patients with major depressive disorder (n = 28) and a group of age- and sex-matched healthy control participants (n = 30) completed an instrumental learning task involving monetary gains and losses during functional magnetic resonance imaging. The two groups did not differ in their learning performance. Patients and control participants showed the same level of prediction error-related activity in the ventral striatum and the anterior insula. In contrast, neural coding of reward prediction errors in the medial orbitofrontal cortex was reduced in patients. Moreover, neural reward prediction error signals in the medial orbitofrontal cortex and ventral striatum showed negative correlations with anhedonia severity. Using a standard instrumental learning paradigm we found no evidence for an overall impairment of reinforcement learning in medication-free patients with major depressive disorder. Importantly, however, the attenuated neural coding of reward in the medial orbitofrontal cortex and the relation between anhedonia and reduced reward prediction error-signalling in the medial orbitofrontal cortex and ventral striatum likely reflect an impairment in experiencing pleasure from rewarding events as a key mechanism of anhedonia in major depressive disorder. © The Author (2017). Published by Oxford University Press on behalf of the Guarantors of Brain. All rights reserved. For Permissions, please email: journals.permissions@oup.com.

Resting-state regional cerebral blood flow during adolescence: associations with initiation of substance use and prediction of future use disorders.

PubMed

Ramage, Amy E; Lin, Ai-Ling; Olvera, Rene L; Fox, Peter T; Williamson, Douglas E

2015-04-01

Adolescence is a period of developmental flux when brain systems are vulnerable to influences of early substance use, which in turn relays increased risk for substance use disorders. Our study intent was to assess adolescent regional cerebral blood flow (rCBF) as it relates to current and future alcohol use. The aim was to identify brain-based predictors for initiation of alcohol use and onset of future substance use disorders. Quantitative rCBF was assessed in 100 adolescents (age 12-15). Prospective behavioral assessments were conducted annually over a three-year follow-up period to characterize onset of alcohol initiation, future drinking patterns and use disorders. Comparisons amongst use groups (i.e., current-, future-, and non-alcohol using adolescents) identified rCBF associated with initiation of alcohol use. Regression by future drinking patterns identified rCBF predictive of heavier drinking. Survival analysis determined whether or not baseline rCBF predicted later development of use disorders. Baseline rCBF was decreased to the parietal cortex and increased to mesolimbic regions in adolescents currently using alcohol as well as those who would use alcohol in the future. Higher baseline rCBF to the left fusiform gyrus and lower rCBF to the right inferior parietal cortex and left cerebellum was associated with future drinking patterns as well as predicted the onset of alcohol and substance use disorders in this cohort. Variations in resting rCBF to regions within reward and default mode or control networks appear to represent trait markers of alcohol use initiation and are predictive of future development of use disorders. Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

The associations of earlier trauma exposures and history of mental disorders with PTSD after subsequent traumas

PubMed Central

Kessler, Ronald C.; Aguilar-Gaxiola, Sergio; Alonso, Jordi; Bromet, Evelyn J.; Gureje, Oye; Karam, Elie G.; Koenen, Karestan C.; Lee, Sing; Liu, Howard; Pennell, Beth-Ellen; Petukhova, Maria V.; Sampson, Nancy A.; Shahly, Victoria L.; Stein, Dan J.; Atwoli, Lukoye; Borges, Guilherme; Bunting, Brendan; de Girolamo, Giovanni; Gluzman, Semyon; Haro, Josep Maria; Hinkov, Hristo; Kawakami, Norito; Kovess-Masfety, Viviane; Navarro-Mateu, Fernando; Posada-Villa, Jose; Scott, Kate M.; Shalev, Arieh Y.; Have, Margreet ten; Torres, Yolanda; Viana, Maria Carmen; Zaslavsky, Alan M.

2017-01-01

Although earlier trauma exposure is known to predict post-traumatic stress disorder (PTSD) after subsequent traumas, it is unclear if this association is limited to cases where the earlier trauma led to PTSD. Resolution of this uncertainty has important implications for research on pre-trauma vulnerability to PTSD. We examined this issue in the WHO World Mental Health (WMH) Surveys with 34,676 respondents who reported lifetime trauma exposure. One lifetime trauma was selected randomly for each respondent. DSM-IV PTSD due to that trauma was assessed. We reported in a previous paper that four earlier traumas involving interpersonal violence significantly predicted PTSD after subsequent random traumas (OR=1.3–2.5). We also assessed 14 lifetime DSM-IV mood, anxiety, disruptive behavior, and substance disorders prior to random traumas. We show in the current report that only prior anxiety disorders significantly predicted PTSD in a multivariate model (OR=1.5–4.3) and that these disorders interacted significantly with three of the earlier traumas (witnessing atrocities, physical violence victimization, rape). History of witnessing atrocities significantly predicted PTSD after subsequent random traumas only among respondents with prior PTSD (OR=5.6). Histories of physical violence victimization (OR=1.5) and rape after age 17 (OR=17.6) significantly predicted only among respondents with no history of prior anxiety disorders. Although only preliminary due to reliance on retrospective reports, these results suggest that history of anxiety disorders and history of a limited number of earlier traumas might usefully be targeted in future prospective studies as distinct foci of research on individual differences in vulnerability to PTSD after subsequent traumas. PMID:28924183

Feasibility and utility of screening for depression and anxiety disorders in patients with cardiovascular disease.

PubMed

Celano, Christopher M; Suarez, Laura; Mastromauro, Carol; Januzzi, James L; Huffman, Jeff C

2013-07-01

Depression and anxiety in patients with cardiac disease are common and independently associated with morbidity and mortality. We aimed to explore the use of a 3-step approach to identify inpatients with cardiac disease with depression, generalized anxiety disorder (GAD), or panic disorder; understand the predictive value of individual screening items in identifying these disorders; and assess the relative prevalence of these disorders in this cohort. To identify depression and anxiety disorders in inpatients with cardiac disease as part of a care management trial, an iterative 3-step screening procedure was used. This included an existing 4-item (Coping Screen) tool in nursing data sets, a 5-item screen for positive Coping Screen patients (Patient Health Questionnaire-2 [PHQ-2], GAD-2, and an item about panic attacks), and a diagnostic evaluation using PHQ-9 and the Primary Care Evaluation of Mental Disorders anxiety disorder modules. Overall, 6210 inpatients received the Coping Screen, 581 completed portions of all 3 evaluation steps, and 210 received a diagnosis (143 depression, 129 GAD, 30 panic disorder). Controlling for age, sex, and the other screening items, PHQ-2 items independently predicted depression (little interest/pleasure: odds ratio [OR]=6.65, P<0.001; depression: OR=5.24, P=0.001), GAD-2 items predicted GAD (anxious: OR=4.09, P=0.003; unable to control worrying: OR=10.46, P<0.001), and the panic item predicted panic disorder (OR=49.61, P<0.001). GAD was nearly as prevalent as depression in this cohort, and GAD-2 was an effective screening tool; however, panic disorder was rare. These results support the use of 2-step screening for depression and GAD beginning with a 4-item scale (GAD-2 plus PHQ-2). Unique Identifier: NCT01201967. URL: http://www.clinicaltrials.gov/ct2/show/NCT01201967.

Predictive validity and correlates of self-assessed resilience among U.S. Army soldiers.

PubMed

Campbell-Sills, Laura; Kessler, Ronald C; Ursano, Robert J; Sun, Xiaoying; Taylor, Charles T; Heeringa, Steven G; Nock, Matthew K; Sampson, Nancy A; Jain, Sonia; Stein, Murray B

2018-02-01

Self-assessment of resilience could prove valuable to military and other organizations whose personnel confront foreseen stressors. We evaluated the validity of self-assessed resilience among U.S. Army soldiers, including whether predeployment perceived resilience predicted postdeployment emotional disorder. Resilience was assessed via self-administered questionnaire among new soldiers reporting for basic training (N = 35,807) and experienced soldiers preparing to deploy to Afghanistan (N = 8,558). Concurrent validity of self-assessed resilience was evaluated among recruits by estimating its association with past-month emotional disorder. Predictive validity was examined among 3,526 experienced soldiers with no lifetime emotional disorder predeployment. Predictive models estimated associations of predeployment resilience with incidence of emotional disorder through 9 months postdeployment and with marked improvement in coping at 3 months postdeployment. Weights-adjusted regression models incorporated stringent controls for risk factors. Soldiers characterized themselves as very resilient on average [M = 14.34, SD = 4.20 (recruits); M = 14.75, SD = 4.31 (experienced soldiers); theoretical range = 0-20]. Demographic characteristics exhibited only modest associations with resilience, while severity of childhood maltreatment was negatively associated with resilience in both samples. Among recruits, resilience was inversely associated with past-month emotional disorder [adjusted odds ratio (AOR) = 0.65, 95% CI = 0.62-0.68, P < .0005 (per standard score increase)]. Among deployed soldiers, greater predeployment resilience was associated with decreased incidence of emotional disorder (AOR = 0.91; 95% CI = 0.84-0.98; P = .016) and increased odds of improved coping (AOR = 1.36; 95% CI = 1.24-1.49; P < .0005) postdeployment. Findings supported validity of self-assessed resilience among soldiers, although its predictive effect on incidence of emotional disorder was modest. In conjunction with assessment of known risk factors, measurement of resilience could help predict adaptation to foreseen stressors like deployment. © 2017 Wiley Periodicals, Inc.

Convergence of Artificial Protein Polymers and Intrinsically Disordered Proteins.

PubMed

Dzuricky, Michael; Roberts, Stefan; Chilkoti, Ashutosh

2018-05-01

A flurry of research in recent years has revealed the molecular origins of many membraneless organelles to be the liquid phase separation of intrinsically disordered proteins (IDPs). Consequently, protein disorder has emerged as an important driver of intracellular compartmentalization by providing specialized microenvironments chemically distinct from the surrounding medium. Though the importance of protein disorder and its relationship to intracellular phase behavior are clear, a detailed understanding of how such phase behavior can be predicted and controlled remains elusive. While research in IDPs has largely focused on the implications of structural disorder on cellular function and disease, another field, that of artificial protein polymers, has focused on the de novo design of protein polymers with controllable material properties. A subset of these polymers, specifically those derived from structural proteins such as elastin and resilin, are also disordered sequences that undergo liquid-liquid phase separation. This phase separation has been used in a variety of biomedical applications, and researchers studying these polymers have developed methods to precisely characterize and tune their phase behavior. Despite their disparate origins, both fields are complementary as they study the phase behavior of intrinsically disordered polypeptides. This Perspective hopes to stimulate collaborative efforts by highlighting the similarities between these two fields and by providing examples of how such collaboration could be mutually beneficial.

Symptoms of conduct disorder, oppositional defiant disorder, attention-deficit/hyperactivity disorder, and callous-unemotional traits as unique predictors of psychosocial maladjustment in boys: advancing an evidence base for DSM-V.

PubMed

Pardini, Dustin A; Fite, Paula J

2010-11-01

The incremental utility of symptoms of conduct disorder (CD), oppositional defiant disorder (ODD), attention-deficit/hyperactivity disorder (ADHD), and callous-unemotional (CU) traits for predicting psychosocial outcomes across multiple domains was examined in a community sample of 1,517 boys. Several outcomes were assessed semiannually across a 2-year follow-up, including antisocial behavior, internalizing problems, peer conflict, and academic difficulties. Official criminal charges were also examined across adolescence. CD symptoms emerged as the most robust predictor of future antisocial outcomes. However, ODD symptoms predicted later criminal charges and conduct problems, and CU traits were robustly associated with serious and persistent criminal behavior in boys. Attention-deficit/hyperactivity disorder symptoms predicted increases in oppositional defiant behavior and conduct problems over time and were uniquely related to future academic difficulties. Both ADHD and ODD symptoms predicted social and internalizing problems in boys, whereas CU traits were associated with decreased internalizing problems over time. The current findings have implications for revisions being considered as part of the DSM-V. Specifically, incorporating CU traits into the diagnostic criteria for Disruptive Behavior Disorders (DBD) may help to further delineate boys at risk for severe and persistent delinquency. Although currently prohibited, allowing a diagnosis of ODD when CD is present may provide unique prognostic information about boys who are at risk for future criminal behavior, social problems, and internalizing problems. Copyright © 2010 American Academy of Child and Adolescent Psychiatry. Published by Elsevier Inc. All rights reserved.

Social network analysis of children with autism spectrum disorder: Predictors of fragmentation and connectivity in elementary school classrooms

PubMed Central

Anderson, Ariana; Locke, Jill; Kretzmann, Mark; Kasari, Connie

2016-01-01

Although children with autism spectrum disorder are frequently included in mainstream classrooms, it is not known how their social networks change compared to typically developing children and whether the factors predictive of this change may be unique. This study identified and compared predictors of social connectivity of children with and without autism spectrum disorder using a social network analysis. Participants included 182 children with autism spectrum disorder and 152 children without autism spectrum disorder, aged 5–12 years in 152 general education K-5 classrooms. General linear models were used to compare how age, classroom size, gender, baseline connectivity, diagnosis, and intelligence quotient predicted changes in social connectivity (closeness). Gender and classroom size had a unique interaction in predicting final social connectivity and the change in connectivity for children with autism spectrum disorder; boys who were placed in larger classrooms showed increased social network fragmentation. This increased fragmentation for boys when placed in larger classrooms was not seen in typically developing boys. These results have implications regarding placement, intervention objectives, and ongoing school support that aimed to increase the social success of children with autism spectrum disorder in public schools. PMID:26567264

Does impaired socioemotional functioning account for behavioral dysexecutive disorders? Evidence from a transnosological study.

PubMed

Narme, Pauline; Roussel, Martine; Mouras, Harold; Krystkowiak, Pierre; Godefroy, Olivier

2017-01-01

Behavioral dysexecutive disorders are highly prevalent in patients with neurological diseases but cannot be explained by cognitive dysexecutive impairments. In fact, the underlying mechanisms are poorly understood. Given that socioemotional functioning underlies appropriate behavior, socioemotional impairments may contribute to the appearance of behavioral disorders. To investigate this issue, we performed a transnosological study. Seventy-five patients suffering from various neurological diseases (Alzheimer's disease (AD), Parkinson's disease (PD), frontotemporal lobar degeneration, and stroke) were included in the study. The patients were comprehensively assessed in terms of cognitive and behavioral dysexecutive disorders and socioemotional processes (facial emotion recognition and theory of mind). As was seen for cognitive and behavioral dysexecutive impairments, the prevalence of socioemotional impairments varied according to the diagnosis. Stepwise logistic regressions showed that (i) only cognitive executive indices predicted hypoactivity with apathy/abulia, (ii) theory of mind impairments predicted hyperactivity-distractibility-impulsivity and stereotyped/perseverative behaviors, and (iii) impaired facial emotion recognition predicted social behavior disorders. Several dysexecutive behavioral disorders are associated with an underlying impairment in socioemotional processes but not with cognitive indices of executive functioning (except for apathy). These results strongly suggest that some dysexecutive behavioral disorders are the outward signs of an underlying impairment in socioemotional processes.

Attachment style and treatment completion among psychiatric inpatients with substance use disorders.

PubMed

Fowler, James Christopher; Groat, Michael; Ulanday, Mike

2013-01-01

A strong dose-response relationship exists for psychosocial treatments for co-morbid substance abuse disorders; yet rates of attrition are exceedingly high for those seeking treatment in residential and hospital settings. This study examined patient characteristics, including attachment style as predictors of completing 42 contiguous days of inpatient dual-diagnosis treatment among patients with substance use disorders. Baseline characteristics were assessed in 187 consecutively admitted patients with research diagnosis of substance use disorders. Hierarchical logistic regression analysis was used to examine predictors of treatment retention. Results indicated a two-variable model consisting of total number of co-occurring Axis I and II disorders, and pre-occupied attachment style, accounting for 17% of the variance. Attachment status predicted retention above and beyond psychiatric co-morbid disorders, demonstrating incremental predictive validity. Moderator analyses failed to detect an interaction. Among inpatients with substance abuse disorders, anxious-preoccupied attachment style predicted treatment retention, reflecting the importance of interpersonal components of treatment relationships in completing treatment. This study adds to a growing body of evidence linking attachment style with treatment adherence. Further research is needed to examine possible mechanisms associated with this relationship. Copyright © American Academy of Addiction Psychiatry.

Stress predicts brain changes in children: a pilot longitudinal study on youth stress, posttraumatic stress disorder, and the hippocampus.

PubMed

Carrion, Victor G; Weems, Carl F; Reiss, Allan L

2007-03-01

Does stress damage the brain? Studies of adults with posttraumatic stress disorder have demonstrated smaller hippocampal volumes when compared with the volumes of adults with no posttraumatic stress disorder. Studies of children with posttraumatic stress disorder have not replicated the smaller hippocampal findings in adults, which suggests that smaller hippocampal volume may be caused by neurodevelopmental experiences with stress. Animal research has demonstrated that the glucocorticoids secreted during stress can be neurotoxic to the hippocampus, but this has not been empirically demonstrated in human samples. We hypothesized that cortisol volumes would predict hippocampal volume reduction in patients with posttraumatic symptoms. We report data from a pilot longitudinal study of children (n = 15) with history of maltreatment who underwent clinical evaluation for posttraumatic stress disorder, cortisol, and neuroimaging. Posttraumatic stress disorder symptoms and cortisol at baseline predicted hippocampal reduction over an ensuing 12- to 18-month interval. Results from this pilot study suggest that stress is associated with hippocampal reduction in children with posttraumatic stress disorder symptoms and provide preliminary human evidence that stress may indeed damage the hippocampus. Additional studies seem to be warranted.

Disease Prediction based on Functional Connectomes using a Scalable and Spatially-Informed Support Vector Machine

PubMed Central

Watanabe, Takanori; Kessler, Daniel; Scott, Clayton; Angstadt, Michael; Sripada, Chandra

2014-01-01

Substantial evidence indicates that major psychiatric disorders are associated with distributed neural dysconnectivity, leading to strong interest in using neuroimaging methods to accurately predict disorder status. In this work, we are specifically interested in a multivariate approach that uses features derived from whole-brain resting state functional connectomes. However, functional connectomes reside in a high dimensional space, which complicates model interpretation and introduces numerous statistical and computational challenges. Traditional feature selection techniques are used to reduce data dimensionality, but are blind to the spatial structure of the connectomes. We propose a regularization framework where the 6-D structure of the functional connectome (defined by pairs of points in 3-D space) is explicitly taken into account via the fused Lasso or the GraphNet regularizer. Our method only restricts the loss function to be convex and margin-based, allowing non-differentiable loss functions such as the hinge-loss to be used. Using the fused Lasso or GraphNet regularizer with the hinge-loss leads to a structured sparse support vector machine (SVM) with embedded feature selection. We introduce a novel efficient optimization algorithm based on the augmented Lagrangian and the classical alternating direction method, which can solve both fused Lasso and GraphNet regularized SVM with very little modification. We also demonstrate that the inner subproblems of the algorithm can be solved efficiently in analytic form by coupling the variable splitting strategy with a data augmentation scheme. Experiments on simulated data and resting state scans from a large schizophrenia dataset show that our proposed approach can identify predictive regions that are spatially contiguous in the 6-D “connectome space,” offering an additional layer of interpretability that could provide new insights about various disease processes. PMID:24704268

A wavelet-based technique to predict treatment outcome for Major Depressive Disorder

PubMed Central

Xia, Likun; Mohd Yasin, Mohd Azhar; Azhar Ali, Syed Saad

2017-01-01

Treatment management for Major Depressive Disorder (MDD) has been challenging. However, electroencephalogram (EEG)-based predictions of antidepressant’s treatment outcome may help during antidepressant’s selection and ultimately improve the quality of life for MDD patients. In this study, a machine learning (ML) method involving pretreatment EEG data was proposed to perform such predictions for Selective Serotonin Reuptake Inhibitor (SSRIs). For this purpose, the acquisition of experimental data involved 34 MDD patients and 30 healthy controls. Consequently, a feature matrix was constructed involving time-frequency decomposition of EEG data based on wavelet transform (WT) analysis, termed as EEG data matrix. However, the resultant EEG data matrix had high dimensionality. Therefore, dimension reduction was performed based on a rank-based feature selection method according to a criterion, i.e., receiver operating characteristic (ROC). As a result, the most significant features were identified and further be utilized during the training and testing of a classification model, i.e., the logistic regression (LR) classifier. Finally, the LR model was validated with 100 iterations of 10-fold cross-validation (10-CV). The classification results were compared with short-time Fourier transform (STFT) analysis, and empirical mode decompositions (EMD). The wavelet features extracted from frontal and temporal EEG data were found statistically significant. In comparison with other time-frequency approaches such as the STFT and EMD, the WT analysis has shown highest classification accuracy, i.e., accuracy = 87.5%, sensitivity = 95%, and specificity = 80%. In conclusion, significant wavelet coefficients extracted from frontal and temporal pre-treatment EEG data involving delta and theta frequency bands may predict antidepressant’s treatment outcome for the MDD patients. PMID:28152063

Can Post mTBI Neurological Soft Signs Predict Postconcussive and PTSD Symptoms : A Pilot Study

DTIC Science & Technology

2014-02-01

disorders , including post - traumatic stress disorder ( PTSD ), but they have scarcely been studied in TBI. The present study measured NSS in the...including post - traumatic stress disorder ( PTSD ), but they have scarcely been studied in TBI. The present study measured NSS in the acute aftermath of...Can Post mTBI Neurological Soft Signs Predict Postconcussive and PTSD Symptoms?: A Pilot Study 5a. CONTRACT NUMBER E-Mail:

A Pre-Screening Questionnaire to Predict Non-24-Hour Sleep-Wake Rhythm Disorder (N24HSWD) among the Blind

PubMed Central

Flynn-Evans, Erin E.; Lockley, Steven W.

2016-01-01

Study Objectives: There is currently no questionnaire-based pre-screening tool available to detect non-24-hour sleep-wake rhythm disorder (N24HSWD) among blind patients. Our goal was to develop such a tool, derived from gold standard, objective hormonal measures of circadian entrainment status, for the detection of N24HSWD among those with visual impairment. Methods: We evaluated the contribution of 40 variables in their ability to predict N24HSWD among 127 blind women, classified using urinary 6-sulfatoxymelatonin period, an objective marker of circadian entrainment status in this population. We subjected the 40 candidate predictors to 1,000 bootstrapped iterations of a logistic regression forward selection model to predict N24HSWD, with model inclusion set at the p < 0.05 level. We removed any predictors that were not selected at least 1% of the time in the 1,000 bootstrapped models and applied a second round of 1,000 bootstrapped logistic regression forward selection models to the remaining 23 candidate predictors. We included all questions that were selected at least 10% of the time in the final model. We subjected the selected predictors to a final logistic regression model to predict N24SWD over 1,000 bootstrapped models to calculate the concordance statistic and adjusted optimism of the final model. We used this information to generate a predictive model and determined the sensitivity and specificity of the model. Finally, we applied the model to a cohort of 1,262 blind women who completed the survey, but did not collect urine samples. Results: The final model consisted of eight questions. The concordance statistic, adjusted for bootstrapping, was 0.85. The positive predictive value was 88%, the negative predictive value was 79%. Applying this model to our larger dataset of women, we found that 61% of those without light perception, and 27% with some degree of light perception, would be referred for further screening for N24HSWD. Conclusions: Our model has predictive utility sufficient to serve as a pre-screening questionnaire for N24HSWD among the blind. Citation: Flynn-Evans EE, Lockley SW. A pre-screening questionnaire to predict non-24-hour sleep-wake rhythm disorder (N24HSWD) among the blind. J Clin Sleep Med 2016;12(5):703–710. PMID:26951421

Preschoolers’ Psychopathology and Temperament Predict Mothers’ Later Mood Disorders

PubMed Central

Allmann, Anna E.S.; Kopala-Sibley, Daniel C.; Klein, Daniel N.

2017-01-01

Considerable research exists documenting the relationship between maternal mood disorders, primarily major depressive disorder (MDD), and a variety of negative child outcomes. By contrast, research exploring the reverse pathway whereby child traits are associated with later maternal mood disorders is much more limited. We examined whether young children’s temperament and psychopathology predicted maternal mood disorders approximately 6 years later. Child temperament and symptoms were assessed at age three using semi-structured diagnostic interviews and parent-report inventories. Maternal psychopathology was assessed with semi-structured interviews when children were three and nine years old. Mothers also reported on their marital satisfaction when children were three and six years old. Child temperamental negative affectivity (NA), depressive symptoms, and externalizing behavior problems significantly predicted maternal mood disorders over and above prior maternal mood, anxiety, and substance disorders. The link between children’s early externalizing symptoms and maternal mood disorders 6 years later was mediated by maternal marital satisfaction 3 years after the initial assessment. These findings suggest that early child temperament and psychopathology contribute to risk for later maternal mood disorders both directly and through their impact on the marital system. Research indicates that effective treatment of maternal depression is associated with positive outcomes for children; however, this study suggests that treating early child problems may mitigate the risk of later maternal psychopathology. PMID:26219263

Elevated Responding to Safe Conditions as a Specific Risk Factor for Anxiety Versus Depressive Disorders: Evidence From a Longitudinal Investigation

PubMed Central

Craske, Michelle G.; Wolitzky–Taylor, Kate B.; Mineka, Susan; Zinbarg, Richard; Waters, Allison M.; Vrshek–Schallhorn, Suzanne; Epstein, Alyssa; Naliboff, Bruce; Ornitz, Edward

2013-01-01

The current study evaluated the degree to which startle reflexes (SRs) in safe conditions versus danger conditions were predictive of the onset of anxiety disorders. Specificity of these effects to anxiety disorders was evaluated in comparison to unipolar depressive disorders and with consideration of level of neuroticism. A startle paradigm was administered at baseline to 132 nondisordered adolescents as part of a longitudinal study examining risk factors for emotional disorders. Participants underwent a repetition of eight safe-danger sequences and were told that delivery of an aversive stimulus leading to a muscle contraction of the arm would occur only in the late part of danger conditions. One aversive stimulus occurred midway in the safe-danger sequences. Participants were assessed for the onset of anxiety and unipolar depressive disorders annually over the next 3 to 4 years. Larger SR magnitude during safe conditions following delivery of the aversive stimulus predicted the subsequent first onset of anxiety disorders. Moreover, prediction of the onset of anxiety disorders remained significant above and beyond the effects of comorbid unipolar depression, neuroticism, and subjective ratings of intensity of the aversive stimulus. In sum, elevated responding to safe conditions following an aversive stimulus appears to be a specific, prospective risk factor for the first onset of anxiety disorders. PMID:21988452

Trait and state aspects of harm avoidance and its implication for treatment in major depressive disorder, dysthymic disorder, and depressive personality disorder.

PubMed

Abrams, Kelley Yost; Yune, Sook Kyeong; Kim, Seog Ju; Jeon, Hong Jin; Han, Soo Jung; Hwang, Jaeuk; Sung, Young Hoon; Lee, Kyung Jin; Lyoo, In Kyoon

2004-06-01

The authors evaluated the trait/state issues of harm avoidance in depressive-spectrum disorders and its predictive potential for antidepressant response. Subjects with Diagnostic and Statistical Manual of Mental Disorders (4th edn; DSM-IV) major depressive disorder (n = 39), dysthymic disorder (n = 37), depressive personality disorder (n = 39), and healthy control subjects (n = 40) were evaluated with the Temperament and Character Inventory and the 17-item Hamilton Depression Rating Scale (HDRS-17) at baseline and after a 12 week antidepressant treatment period. Higher harm avoidance scores predicted lesser improvement in subjects with dysthymic disorder and major depressive disorder, as determined by lesser decrease in HDRS-17 scores. Mean harm avoidance scores in depressed subjects were consistently greater than those in healthy controls, controlling for age, gender and diagnosis. Mean harm avoidance scores decreased significantly in all depressive-spectrum disorders after treatment, but still remained higher than harm avoidance scores in control subjects. The present study reports that harm avoidance is a reliable predictor of antidepressant treatment in subjects with major depressive disorder and dysthymic disorder and that harm avoidance is both trait- and state-dependent in depressive-spectrum disorders.

An assessment of the Standardized Assessment of Personality as a screening instrument for the International Personality Disorder Examination: a comparison of informant and patient assessment for personality disorder.

PubMed

Mann, A H; Raven, P; Pilgrim, J; Khanna, S; Velayudham, A; Suresh, K P; Channabasavanna, S M; Janca, A; Sartorius, N

1999-07-01

The International Personality Disorder Examination (IPDE) has been developed as a standardized interview for personality disorders. While it has good psychometric properties, its length makes it difficult to use in the community in population research, particularly outside psychiatric settings. The informant-based Standard Assessment of Personality (SAP), which has been in use since 1981, could serve as a valid screen to detect likely personality disordered individuals who would then receive a definitive diagnosis by IPDE. This study aimed to compare the two instruments in their capacity to detect personality disorder according to ICD-10 taxonomy and to estimate the efficiency of the use of the two together in a case-finding exercise. Ninety psychiatric out-patients in Bangalore, India, were assessed for personality disorder using the two methods. Assessment was conducted by a pair of trained interviewers in random order and by random allocation to interviewer. Overall agreement between the two instruments in the detection of ICD-10 personality disorder was modest (kappa = 0.4). The level of agreement varied according to personality category, ranging from kappa 0.66 (dependent) to kappa 0.09 (dyssocial). The SAP proved to have a high negative predictive value (97%) for IPDE as the gold standard, suggesting its potential as a screen in samples where the expected prevalence of personality disorder is low. A two-stage approach to epidemiological studies of personality disorder may be practicable.

Parent-infant vocalisations at 12 months predict psychopathology at 7 years.

PubMed

Allely, C S; Purves, D; McConnachie, A; Marwick, H; Johnson, P; Doolin, O; Puckering, C; Golding, J; Gillberg, C; Wilson, P

2013-03-01

This study investigated the utility of adult and infant vocalisation in the prediction of child psychopathology. Families were sampled from the Avon Longitudinal Study of Parents and Children (ALSPAC) birth cohort. Vocalisation patterns were obtained from 180 videos (60 cases and 120 randomly selected sex-matched controls) of parent-infant interactions when infants were one year old. Cases were infants who had been subsequently diagnosed aged seven years, with at least one psychiatric diagnostic categorisation using the Development and Wellbeing Assessment. Psychopathologies included in the case group were disruptive behaviour disorders, oppositional-conduct disorders, Attention Deficit Hyperactivity Disorder, pervasive development disorder, and emotional disorders. Associations between infant and parent vocalisations and later psychiatric diagnoses were investigated. Low frequencies of maternal vocalisation predicted later development of infant psychopathology. A reduction of five vocalisations per minute predicted a 44% (95%CI: 11-94%; p-value=0.006) increase in the odds of an infant being a case. No association was observed between infant vocalisations and overall case status. In sum, altered vocalisation frequency in mother-infant interactions at one year is a potential risk marker for later diagnosis of a range of child psychopathologies. Copyright © 2012 Elsevier Ltd. All rights reserved.

Oppositional defiant disorder dimensions: genetic influences and risk for later psychopathology.

PubMed

Mikolajewski, Amy J; Taylor, Jeanette; Iacono, William G

2017-06-01

This study was undertaken to determine how well two oppositional defiant disorder (ODD) dimensions (irritable and headstrong/hurtful) assessed in childhood predict late adolescent psychopathology and the degree to which these outcomes can be attributed to genetic influences shared with ODD dimensions. Psychopathology was assessed via diagnostic interviews of 1,225 twin pairs at ages 11 and 17. Consistent with hypotheses, the irritable dimension uniquely predicted overall internalizing problems, whereas the headstrong/hurtful dimension uniquely predicted substance use disorder symptoms. Both dimensions were predictive of antisocial behavior and overall externalizing problems. The expected relationships between the irritable dimension and specific internalizing disorders were not found. Twin modeling showed that the irritable and headstrong/hurtful dimensions were related to late adolescent psychopathology symptoms through common genetic influences. Symptoms of ODD in childhood pose a significant risk for various mental health outcomes in late adolescence. Further, common genetic influences underlie the covariance between irritable symptoms in childhood and overall internalizing problems in late adolescence, whereas headstrong/hurtful symptoms share genetic influences with substance use disorder symptoms. Antisocial behavior and overall externalizing share common genetic influences with both the irritable and headstrong/hurtful dimensions. © 2017 Association for Child and Adolescent Mental Health.

Protein disorder is positively correlated with gene expression in E. coli

PubMed Central

Paliy, Oleg; Gargac, Shawn M.; Cheng, Yugong; Uversky, Vladimir N.; Dunker, A. Keith

2009-01-01

We considered on a global scale the relationship between the predicted fraction of protein disorder and RNA and protein expression in E. coli. Fraction of protein disorder correlated positively with both measured RNA expression levels of E. coli genes in three different growth media and with predicted abundance levels of E. coli proteins. Though weak, the correlation was highly significant. Correlation of protein disorder with RNA expression did not depend on the growth rate of E. coli cultures and was not caused by a small subset of genes showing exceptionally high concordance in their disorder and expression levels. Global analysis was complemented by detailed consideration of several groups of proteins. PMID:18465893

Modeling BAS Dysregulation in Bipolar Disorder.

PubMed

Hamaker, Ellen L; Grasman, Raoul P P P; Kamphuis, Jan Henk

2016-08-01

Time series analysis is a technique that can be used to analyze the data from a single subject and has great potential to investigate clinically relevant processes like affect regulation. This article uses time series models to investigate the assumed dysregulation of affect that is associated with bipolar disorder. By formulating a number of alternative models that capture different kinds of theoretically predicted dysregulation, and by comparing these in both bipolar patients and controls, we aim to illustrate the heuristic potential this method of analysis has for clinical psychology. We argue that, not only can time series analysis elucidate specific maladaptive dynamics associated with psychopathology, it may also be clinically applied in symptom monitoring and the evaluation of therapeutic interventions.

Cross-national prevalence and cultural correlates of bipolar I disorder.

PubMed

Johnson, Kaja R; Johnson, Sheri L

2014-07-01

Bipolar disorder has been consistently related to heightened sensitivity to reward. Greater reward sensitivity predicts the onset of disorder, a more severe course, and conversion from milder to severe forms. No studies consider whether cultural factors related to reward sensitivity influence the course of bipolar disorder. This study examines the relationship of reward-relevant cultural values to global prevalence rates of bipolar I disorder. Lifetime prevalence of bipolar I disorder for 17 countries was drawn from epidemiological studies that used structured diagnostic interviews of large community samples. Bivariate correlations were used to assess the relationship of bipolar disorder prevalence with national scores on four reward-relevant cultural dimensions (Power Distance, Individualism, Long-Term Orientation, and Performance Orientation). The prevalence of bipolar I disorder was correlated in the predicted manner with Power Distance and Individualism, and with Long-Term Orientation and Performance Orientation after outliers were removed. Findings provide evidence for a cultural model of reward sensitivity in bipolar disorder.

The associations of earlier trauma exposures and history of mental disorders with PTSD after subsequent traumas.

PubMed

Kessler, R C; Aguilar-Gaxiola, S; Alonso, J; Bromet, E J; Gureje, O; Karam, E G; Koenen, K C; Lee, S; Liu, H; Pennell, B-E; Petukhova, M V; Sampson, N A; Shahly, V; Stein, D J; Atwoli, L; Borges, G; Bunting, B; de Girolamo, G; Gluzman, S F; Haro, J M; Hinkov, H; Kawakami, N; Kovess-Masfety, V; Navarro-Mateu, F; Posada-Villa, J; Scott, K M; Shalev, A Y; Ten Have, M; Torres, Y; Viana, M C; Zaslavsky, A M

2017-09-19

Although earlier trauma exposure is known to predict posttraumatic stress disorder (PTSD) after subsequent traumas, it is unclear whether this association is limited to cases where the earlier trauma led to PTSD. Resolution of this uncertainty has important implications for research on pretrauma vulnerability to PTSD. We examined this issue in the World Health Organization (WHO) World Mental Health (WMH) Surveys with 34 676 respondents who reported lifetime trauma exposure. One lifetime trauma was selected randomly for each respondent. DSM-IV (Diagnostic and Statistical Manual of Mental Disorders, 4th Edition) PTSD due to that trauma was assessed. We reported in a previous paper that four earlier traumas involving interpersonal violence significantly predicted PTSD after subsequent random traumas (odds ratio (OR)=1.3-2.5). We also assessed 14 lifetime DSM-IV mood, anxiety, disruptive behavior and substance disorders before random traumas. We show in the current report that only prior anxiety disorders significantly predicted PTSD in a multivariate model (OR=1.5-4.3) and that these disorders interacted significantly with three of the earlier traumas (witnessing atrocities, physical violence victimization and rape). History of witnessing atrocities significantly predicted PTSD after subsequent random traumas only among respondents with prior PTSD (OR=5.6). Histories of physical violence victimization (OR=1.5) and rape after age 17 years (OR=17.6) significantly predicted only among respondents with no history of prior anxiety disorders. Although only preliminary due to reliance on retrospective reports, these results suggest that history of anxiety disorders and history of a limited number of earlier traumas might usefully be targeted in future prospective studies as distinct foci of research on individual differences in vulnerability to PTSD after subsequent traumas.Molecular Psychiatry advance online publication, 19 September 2017; doi:10.1038/mp.2017.194.

Japanese Alzheimer's Disease and Other Complex Disorders Diagnosis Based on Mitochondrial SNP Haplogroups

PubMed Central

Takasaki, Shigeru

2012-01-01

This paper first explains how the relations between Japanese Alzheimer's disease (AD) patients and their mitochondrial SNP frequencies at individual mtDNA positions examined using the radial basis function (RBF) network and a method based on RBF network predictions and that Japanese AD patients are associated with the haplogroups G2a and N9b1. It then describes a method for the initial diagnosis of Alzheimer's disease that is based on the mtSNP haplogroups of the AD patients. The method examines the relations between someone's mtDNA mutations and the mtSNPs of AD patients. As the mtSNP haplogroups thus obtained indicate which nucleotides of mtDNA loci are changed in the Alzheimer's patients, a person's probability of becoming an AD patient can be predicted by comparing those mtDNA mutations with that person's mtDNA mutations. The proposed method can also be used to diagnose diseases such as Parkinson's disease and type 2 diabetes and to identify people likely to become centenarians. PMID:22848858

Prevalence and comorbidity of common mental disorders and associations with suicidal ideation in the adult population.

PubMed

Veisani, Yousef; Mohamadian, Fathola; Delpisheh, Ali

2017-01-01

Little information exists on the association between comorbidities of mental disorders and suicidal ideation in developing countries. The current study examined the relationship between the presence of comorbid mental disorders and suicidal ideation in the adult population. This cross-sectional study was conducted using the cluster random sampling method in 3 steps. Data were collected from a household assets survey and the self-administered 28-item General Health Questionnaire as first step in screening, and the Persian version of the Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition - Text Revision was used in the second stage to determine the prevalence of mental disorders. Bivariate and multivariate analysis were used to investigate the associations between mental disorders and suicidal ideation. Of the 763 participants, 199 (26.1%) had 1 or more mental disorder. Forty-two (71.4%) subjects with comorbidities had a history of suicidal ideation, whereas 59 (7.7%) of all participants had a history of suicidal ideation. We found that major depressive disorder and obsessive-compulsive disorder were the most predictive of suicidal ideation in both sexes. The odds ratio for suicidal ideation associated with having 3 comorbid disorders was 2.70 (95% confidence interval [CI], 1.40 to 14.12) in males and 3.06 (95% CI, 1.25 to 15.22) in females. Consistent with pervious data, our results confirmed that mental disorders and comorbidities of mental disorders were important predictors of suicidal ideation. Our findings are very useful for applied intervention programs to reduce the suicide rate in regions in which it is high.

Diagnostic classification of eating disorders in children and adolescents: How does DSM-IV-TR compare to empirically-derived categories?

PubMed Central

Eddy, Kamryn T.; le Grange, Daniel; Crosby, Ross D.; Hoste, Renee Rienecke; Doyle, Angela Celio; Smyth, Angela; Herzog, David B.

2009-01-01

Objective The purpose of this study was to empirically derive eating disorder phenotypes in a clinical sample of children and adolescents using latent profile analysis (LPA) and compare these latent profile (LP) groups to the DSM-IV-TR eating disorder categories. Method Eating disorder symptom data collected from 401 youth (ages 7–19; mean 15.14 ± 2.35y) seeking eating disorder treatment were included in LPA; general linear models were used to compare LP groups to DSM-IV-TR eating disorder categories on pre-treatment and outcome indices. Results Three LP groups were identified: LP1 (n=144), characterized binge eating and purging (“Binge/purge”); LP2 (n=126), characterized by excessive exercise and extreme eating disorder cognitions (“Exercise-extreme cognitions”); and LP3 (n=131), characterized by minimal eating disorder behaviors and cognitions (“Minimal behaviors/cognitions”). Identified LPs imperfectly resembled DSM-IV-TR eating disorders. LP1 resembled bulimia nervosa; LP2 and LP3 broadly resembled anorexia nervosa with a relaxed weight criterion, differentiated by excessive exercise and severity of eating disorder cognitions. LP groups were more differentiated than the DSM-IV-TR categories across pre-treatment eating disorder and general psychopathology indices, as well as weight change at follow-up. Neither LP nor DSM-IV-TR categories predicted change in binge/purge behaviors. Validation analyses suggest these empirically-derived groups improve upon the current DSM-IV-TR categories. Conclusions In children and adolescents, revisions for DSM-V should consider recognition of patients with minimal cognitive eating disorder symptoms. PMID:20410717

The impacts of migraine and anxiety disorders on painful physical symptoms among patients with major depressive disorder.

PubMed

Hung, Ching-I; Liu, Chia-Yih; Chen, Ching-Yen; Yang, Ching-Hui; Wang, Shuu-Jiun

2014-11-10

No study has simultaneously investigated the impacts of migraine and anxiety disorders on painful physical symptoms (PPS) among patients with major depressive disorder (MDD). The study aimed to investigate this issue. This open-label study enrolled 155 outpatients with MDD, who were then treated with venlafaxine 75 mg per day for four weeks. Eighty-five participants with good compliance completed the treatment. Migraine was diagnosed according to the International Classification of Headache Disorders. MDD and anxiety disorders were diagnosed using the Structured Clinical Interview for DSM-IV-TR. The visual analog scale (VAS) was used to evaluate the severity of eight PPS. Multiple linear and logistic regressions were used to investigate the impacts of migraine and anxiety disorders on PPS. Compared with patients without migraine, patients with migraine had a greater severity of PPS at baseline and post-treatment. After controlling for demographic variables and depressive severity, migraine independently predicted the intensities of eight PPS at baseline and four PPS post-treatment. Moreover, migraine independently predicted poorer treatment responses of chest pain and full remission of pains in the head, chest, neck and/or shoulder. Anxiety disorders predicted less full remission of pains in the abdomen and limbs. Migraine and anxiety disorders have negative impacts on PPS among patients with MDD. Integrating the treatment of migraine and anxiety disorders into the management of depression might help to improve PPS and the prognosis of MDD.

Associations between childhood adversity, adult stressful life events, and past-year drug use disorders in the National Epidemiological Study of Alcohol and Related Conditions (NESARC).

PubMed

Myers, Bronwyn; McLaughlin, Katie A; Wang, Shuai; Blanco, Carlos; Stein, Dan J

2014-12-01

Stress sensitization, whereby CA lowers tolerance to later stressors, has been proposed as a potential mechanism explaining the association between exposure to childhood adversities (CA) and drug use disorders in adulthood. However, this mechanism remains untested. This paper begins to address this gap through exploring associations between CA exposure and stressful events in adulthood for predicting drug use disorders. We used data drawn from Wave 2 of the U.S. National Epidemiological Survey of Alcohol and Related Conditions (n = 34,653) to explore whether the association between past-year stressful life events and the 12-month prevalence of disordered cannabis, stimulant, and opiate use varied by the number of types of CA that an individual was exposed to. Past-year stressful life events were associated with an increased risk of cannabis, stimulant, and opiate use disorders among men and women. Exposure to CA was associated with increased risk for disordered cannabis use among men and women and opiate use among men only. Finally, we found significant associations between exposure to CA and past-year stressful life events in predicting disordered drug use, but only for women in relation to disordered stimulant and opiate use. Findings are suggestive of possible stress sensitization effects in predicting disordered stimulant and opiate use among women. Implications of these findings for the prevention and treatment of drug use disorders and for future research are discussed.

Associations between childhood adversity, adult stressful life events, and past-year drug use disorders in the National Epidemiological Study of Alcohol and Related Conditions (NESARC)

PubMed Central

Myers, Bronwyn; McLaughlin, Katie A.; Wang, Shuai; Blanco, Carlos; Stein, Dan J.

2014-01-01

Stress sensitization, whereby CA lowers tolerance to later stressors, has been proposed as a potential mechanism explaining the association between exposure to childhood adversities (CA) and drug use disorders in adulthood. However this mechanism remains untested. This paper begins to address this gap through exploring associations between CA exposure and stressful events in adulthood for predicting drug use disorders. We used data drawn from Wave 2 of the U.S. National Epidemiological Survey of Alcohol and Related Conditions (n=34,653) to explore whether the association between past-year stressful life events and the 12-month prevalence of disordered cannabis, stimulant and opiate use varied by the number of types of CA that an individual was exposed to. Past-year stressful life events were associated with an increased risk of cannabis, stimulant and opiate use disorders among men and women. Exposure to CA was associated with increased risk for disordered cannabis use among men and women and opiate use among men only. Finally, we found significant associations between exposure to CA and past year stressful life events in predicting disordered drug use, but only for women in relation to disordered stimulant and opiate use. Findings are suggestive of possible stress sensitization effects in predicting disordered stimulant and opiate use among women. Implications of these findings for the prevention and treatment of drug use disorders and for future research are discussed. PMID:25134042

Operating characteristics of depression and anxiety disorder phenotype dimensions and trait neuroticism: a theoretical examination of the fear and distress disorders from the Netherlands study of depression and anxiety.

PubMed

Tully, Phillip J; Wardenaar, Klaas J; Penninx, Brenda W J H

2015-03-15

The receiver operating characteristics (ROC) of anhedonic depression and anxious arousal to detect the distress- (major depression, dysthymia, generalized anxiety disorder) and fear-disorder clusters (i.e. panic disorder, agoraphobia, social phobia) have not been reported in a large sample. A sample of 2981 persons underwent structured psychiatric interview; n=652 were without lifetime depression and anxiety disorder history. Participants also completed a neuroticism scale (Revised NEO Five Factor Inventory [NEO-FFI]), and the 30-item short adaptation of the Mood and Anxiety Symptoms Questionnaire (MASQ-D30) measuring anhedonic depression, anxious arousal and general distress. Maximal sensitivity and specificity was determined by the Youden Index and the area-under-the-curve (AUC) in ROC analysis. A total of 2624 completed all measures (age M=42.4 years±13.1, 1760 females [67.1%]), including 1060 (40.4%) persons who met criteria for a distress-disorder, and 973 (37.1%) who met criteria for a fear-disorder. The general distress dimension provided the highest ROC values in the detection of the distress-disorders (AUC=.814, sensitivity=71.95%, specificity=76.34%, positive predictive value=67.33, negative predictive value=80.07). None of the measures provided suitable operating characteristics in the detection of the fear-disorders with specificity values <75%. Over sampling of depression and anxiety disorders may lead to inflated positive- and negative predictive values. The MASQ-D30 general distress dimension showed clinically suitable operating characteristics in the detection of distress-disorders. Neither neuroticism nor the MASQ-D30 dimensions provided suitable operating characteristics in the detection of the fear-disorders. Copyright © 2014 Elsevier B.V. All rights reserved.

Epileptic Seizure Prediction Using Diffusion Distance and Bayesian Linear Discriminate Analysis on Intracranial EEG.

PubMed

Yuan, Shasha; Zhou, Weidong; Chen, Liyan

2018-02-01

Epilepsy is a chronic neurological disorder characterized by sudden and apparently unpredictable seizures. A system capable of forecasting the occurrence of seizures is crucial and could open new therapeutic possibilities for human health. This paper addresses an algorithm for seizure prediction using a novel feature - diffusion distance (DD) in intracranial Electroencephalograph (iEEG) recordings. Wavelet decomposition is conducted on segmented electroencephalograph (EEG) epochs and subband signals at scales 3, 4 and 5 are utilized to extract the diffusion distance. The features of all channels composing a feature vector are then fed into a Bayesian Linear Discriminant Analysis (BLDA) classifier. Finally, postprocessing procedure is applied to reduce false prediction alarms. The prediction method is evaluated on the public intracranial EEG dataset, which consists of 577.67[Formula: see text]h of intracranial EEG recordings from 21 patients with 87 seizures. We achieved a sensitivity of 85.11% for a seizure occurrence period of 30[Formula: see text]min and a sensitivity of 93.62% for a seizure occurrence period of 50[Formula: see text]min, both with the seizure prediction horizon of 10[Formula: see text]s. Our false prediction rate was 0.08/h. The proposed method yields a high sensitivity as well as a low false prediction rate, which demonstrates its potential for real-time prediction of seizures.

Predicting Prognosis for the Conduct-Problem Boy: Can Family History Help?

ERIC Educational Resources Information Center

Odgers, Candice L.; Milne, Barry J.; Caspi, Avshalom; Crump, Raewyn; Poulton, Richie; Moffitt, Terrie E.

2007-01-01

Objective: Many children with conduct disorder develop life-course persistent antisocial behavior; however, other children exhibit childhood-limited or adolescence-limited conduct disorder symptoms and escape poor adult outcomes. Prospective prediction of long-term prognosis in pediatric and adolescent clinical settings is difficult. Improved…

The role of parental perceptions of tic frequency and intensity in predicting tic-related functional impairment in youth with chronic tic disorders.

PubMed

Espil, Flint M; Capriotti, Matthew R; Conelea, Christine A; Woods, Douglas W

2014-12-01

Tic severity is composed of several dimensions. Tic frequency and intensity are two such dimensions, but little empirical data exist regarding their relative contributions to functional impairment in those with chronic tic disorders (CTD). The present study examined the relative contributions of these dimensions in predicting tic-related impairment across several psychosocial domains. Using data collected from parents of youth with CTD, multivariate regression analyses revealed that both tic frequency and intensity predicted tic-related impairment in several areas; including family and peer relationships, school interference, and social endeavors, even when controlling for the presence of comorbid anxiety symptoms and Attention Deficit Hyperactivity Disorder diagnostic status. Results showed that tic intensity predicted more variance across more domains than tic frequency.

Association between abnormal brain functional connectivity in children and psychopathology: A study based on graph theory and machine learning.

PubMed

Sato, João Ricardo; Biazoli, Claudinei Eduardo; Salum, Giovanni Abrahão; Gadelha, Ary; Crossley, Nicolas; Vieira, Gilson; Zugman, André; Picon, Felipe Almeida; Pan, Pedro Mario; Hoexter, Marcelo Queiroz; Amaro, Edson; Anés, Mauricio; Moura, Luciana Monteiro; Del'Aquilla, Marco Antonio Gomes; Mcguire, Philip; Rohde, Luis Augusto; Miguel, Euripedes Constantino; Jackowski, Andrea Parolin; Bressan, Rodrigo Affonseca

2018-03-01

One of the major challenges facing psychiatry is how to incorporate biological measures in the classification of mental health disorders. Many of these disorders affect brain development and its connectivity. In this study, we propose a novel method for assessing brain networks based on the combination of a graph theory measure (eigenvector centrality) and a one-class support vector machine (OC-SVM). We applied this approach to resting-state fMRI data from 622 children and adolescents. Eigenvector centrality (EVC) of nodes from positive- and negative-task networks were extracted from each subject and used as input to an OC-SVM to label individual brain networks as typical or atypical. We hypothesised that classification of these subjects regarding the pattern of brain connectivity would predict the level of psychopathology. Subjects with atypical brain network organisation had higher levels of psychopathology (p < 0.001). There was a greater EVC in the typical group at the bilateral posterior cingulate and bilateral posterior temporal cortices; and significant decreases in EVC at left temporal pole. The combination of graph theory methods and an OC-SVM is a promising method to characterise neurodevelopment, and may be useful to understand the deviations leading to mental disorders.

Stability and Change in Personality Disorder Symptoms in 1-Year Follow-up of Depressed Adolescent Outpatients.

PubMed

Strandholm, Thea; Kiviruusu, Olli; Karlsson, Linnea; Pankakoski, Maiju; Pelkonen, Mirjami; Marttunen, Mauri

2017-01-01

We investigated stability and change in personality disorder (PD) symptoms and whether depression severity, comorbid clinical psychiatric disorders, and social support predict changes in personality pathology among adolescent outpatients. The 1-year outcome of PD symptoms among consecutive adolescent psychiatric outpatients with depressive disorders (N = 189) was investigated with symptom count of depression, comorbid psychiatric disorders, and perceived social support as predictors. An overall decrease in PD symptoms in most PD categories was observed. Decreases in depression severity and in number of comorbid diagnoses correlated positively with decreases in PD symptoms of most PD categories. Social support from close friends predicted a decrease in schizotypal and narcissistic, whereas support from family predicted a decrease in paranoid symptoms. Our results suggest that among depressed adolescent outpatients, PD symptoms are relatively unstable, changes co-occuring with changes/improvement in overall psychopathology. Social support seems a possibly effective point for intervention efforts regarding positive outcome of PD symptoms.

The relationship of level of positive mental health with current mental disorders in predicting suicidal behavior and academic impairment in college students.

PubMed

Keyes, Corey L M; Eisenberg, Daniel; Perry, Geraldine S; Dube, Shanta R; Kroenke, Kurt; Dhingra, Satvinder S

2012-01-01

To investigate whether level of positive mental health complements mental illness in predicting students at risk for suicidal behavior and impaired academic performance. A sample of 5,689 college students participated in the 2007 Healthy Minds Study and completed an Internet survey that included the Mental Health Continuum-Short Form and the Patient Health Questionnaire screening scales for depression and anxiety disorders, questions about suicide ideation, plans, and attempts, and academic impairment. Just under half (49.3%) of students were flourishing and did not screen positive for a mental disorder. Among students who did, and those who did not, screen for a mental disorder, suicidal behavior and impaired academic performance were lowest in those with flourishing, higher among those with moderate, and highest in those with languishing mental health. Positive mental health complements mental disorder screening in mental health surveillance and prediction of suicidal behavior and impairment of academic performance.

Predictors of outcome for cognitive behaviour therapy in binge eating disorder.

PubMed

Lammers, Mirjam W; Vroling, Maartje S; Ouwens, Machteld A; Engels, Rutger C M E; van Strien, Tatjana

2015-05-01

The aim of this naturalistic study was to identify pretreatment predictors of response to cognitive behaviour therapy in treatment-seeking patients with binge eating disorder (BED; N = 304). Furthermore, we examined end-of-treatment factors that predict treatment outcome 6 months later (N = 190). We assessed eating disorder psychopathology, general psychopathology, personality characteristics and demographic variables using self-report questionnaires. Treatment outcome was measured using the bulimia subscale of the Eating Disorder Inventory 1. Predictors were determined using hierarchical linear regression analyses. Several variables significantly predicted outcome, four of which were found to be both baseline predictors of treatment outcome and end-of-treatment predictors of follow-up: Higher levels of drive for thinness, higher levels of interoceptive awareness, lower levels of binge eating pathology and, in women, lower levels of body dissatisfaction predicted better outcome in the short and longer term. Based on these results, several suggestions are made to improve treatment outcome for BED patients. Copyright © 2015 John Wiley & Sons, Ltd and Eating Disorders Association.

Do Major Depressive Disorder and Dysthymic Disorder confer differential risk for suicide?

PubMed Central

Witte, Tracy K.; Timmons, Katherine A.; Fink, Erin; Smith, April R.; Joiner, Thomas E.

2009-01-01

Background Although there has been a tremendous amount of research examining the risk conferred for suicide by depression in general, relatively little research examines the risk conferred by specific forms of depressive illness (e.g., dysthymic disorder, single episode versus recurrent major depressive disorder [MDD]). The purpose of the current study was to examine differences in suicidal ideation, clinician-rated suicide risk, suicide attempts, and family history of suicide in a sample of outpatients diagnosed with various forms of depressive illness. Methods To accomplish this aim, we conducted a cluster analysis using the aforementioned suicide-related variables in a sample of 494 outpatients seen between January 2001 and July 2007 at the Florida State University Psychology Clinic. Patients were diagnosed using DSM-IV criteria. Results Two distinct clusters emerged that were indicative of lower and higher risk for suicide. After controlling for the number of comorbid Axis I and Axis II diagnoses, the only depressive illness that significantly predicted cluster membership was recurrent MDD, which tripled an individual’s likelihood of being assigned to the higher risk cluster. Limitations The use of a cross-sectional design; the relatively low suicide risk in our sample; the relatively small number of individuals with double depression. Conclusions Our results demonstrate the importance of both chronicity and severity of depression in terms of predicting increased suicide risk. Among the various forms of depressive illness examined, only recurrent MDD appeared to confer greater risk for suicide. PMID:18842304

Is psychotic disorder associated with increased levels of craving for cannabis? An Experience Sampling study.

PubMed

Kuepper, R; Oorschot, M; Myin-Germeys, I; Smits, M; van Os, J; Henquet, C

2013-12-01

Although cannabis use among individuals with psychotic disorder is considerable, little is known about patterns of use and factors contributing to continuation of use. Therefore, we investigated craving in relation to cannabis use in patients with psychotic disorder and healthy controls. The study included 58 patients with non-affective psychotic disorder and 63 healthy controls; all were frequent cannabis users. Craving was assessed with the Obsessive Compulsive Drug Use Scale (OCDUS) for cannabis, as well as in daily life using the Experience Sampling Method (ESM). Patients scored higher on the OCDUS (B = 1.18, P = 0.022), but did not differ from controls in ESM indices of craving (all P > 0.05). In daily life, ESM craving predicted cannabis use and this was stronger in controls (χ(2) = 4.5, P = 0.033; Bcontrols = 0.08, P < 0.001; Bpatients = 0.06, P < 0.001). In both groups ESM craving was predicted by negative affect, paranoia, and hallucinations (Bnegativeaffect = 0.12, P = 0.009; Bparanoia = 0.13, P = 0.013; Bhallucinations = 0.13, P = 0.028), and followed by an increase in negative affect at non-cannabis-using moments (B = 0.03, P = 0.002). The temporal dynamics of craving as well as craving intensity in daily life appear to be similar in patients and controls. Further research is needed to elucidate the inconsistencies between cross-sectional and daily-life measures of craving in psychosis. © 2013 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Structure and non-structure of centrosomal proteins.

PubMed

Dos Santos, Helena G; Abia, David; Janowski, Robert; Mortuza, Gulnahar; Bertero, Michela G; Boutin, Maïlys; Guarín, Nayibe; Méndez-Giraldez, Raúl; Nuñez, Alfonso; Pedrero, Juan G; Redondo, Pilar; Sanz, María; Speroni, Silvia; Teichert, Florian; Bruix, Marta; Carazo, José M; Gonzalez, Cayetano; Reina, José; Valpuesta, José M; Vernos, Isabelle; Zabala, Juan C; Montoya, Guillermo; Coll, Miquel; Bastolla, Ugo; Serrano, Luis

2013-01-01

Here we perform a large-scale study of the structural properties and the expression of proteins that constitute the human Centrosome. Centrosomal proteins tend to be larger than generic human proteins (control set), since their genes contain in average more exons (20.3 versus 14.6). They are rich in predicted disordered regions, which cover 57% of their length, compared to 39% in the general human proteome. They also contain several regions that are dually predicted to be disordered and coiled-coil at the same time: 55 proteins (15%) contain disordered and coiled-coil fragments that cover more than 20% of their length. Helices prevail over strands in regions homologous to known structures (47% predicted helical residues against 17% predicted as strands), and even more in the whole centrosomal proteome (52% against 7%), while for control human proteins 34.5% of the residues are predicted as helical and 12.8% are predicted as strands. This difference is mainly due to residues predicted as disordered and helical (30% in centrosomal and 9.4% in control proteins), which may correspond to alpha-helix forming molecular recognition features (α-MoRFs). We performed expression assays for 120 full-length centrosomal proteins and 72 domain constructs that we have predicted to be globular. These full-length proteins are often insoluble: Only 39 out of 120 expressed proteins (32%) and 19 out of 72 domains (26%) were soluble. We built or retrieved structural models for 277 out of 361 human proteins whose centrosomal localization has been experimentally verified. We could not find any suitable structural template with more than 20% sequence identity for 84 centrosomal proteins (23%), for which around 74% of the residues are predicted to be disordered or coiled-coils. The three-dimensional models that we built are available at http://ub.cbm.uam.es/centrosome/models/index.php.

Predictive Medicine: Recombinant DNA Technology and Adult-Onset Genetic Disorders

PubMed Central

Hayden, Michael

1988-01-01

Genetic factors are of great importance in common adult-onset disorders such as atherosclerosis, cancer, and neuro-degenerative diseases. Advances in DNA technology now allow identification of persons at high-risk of developing some of these diseases. This advance is leading to predictive medicine. In some genetic disorders, such as those leading to atherosclerosis and cancer, identification of high-risk individuals allows intervention which alters the natural history of the disorder. In other diseases, for which there is no treatment, such as Huntington's disease, the application of this technology provides information that relieves uncertainty and may affect quality of life, but does not alter the course of the illness. General implementation of predictive testing programs awaits the results of pilot projects, which will demonstrate the needs, appropriate levels of support, and guidelines for delivery of such testing. PMID:21253100

High neuroticism at age 20 predicts history of mental disorders and low self-esteem at age 35.

PubMed

Lönnqvist, Jan-Erik; Verkasalo, Markku; Mäkinen, Seppo; Henriksson, Markus

2009-07-01

The authors assessed whether neuroticism in emerging adulthood predicts mental disorders and self-esteem in early adulthood after controlling for possible confounding variables. A sample of 69 male military conscripts was initially assessed at age 20 and again as civilians at age 35. The initial assessment included a psychiatric interview, objective indicators of conscript competence, an intellectual performance test, and neuroticism questionnaires. The follow-up assessment included a Structured Clinical Interview for DSM-IV (SCID; First, Spitzer, Gibbon, & Williams, 1996) and the Rosenberg Self-Esteem Scale (Rosenberg, 1965). Neuroticism predicted future mental disorders and low self-esteem beyond more objective indicators of adjustment. The results support the use of neuroticism as a predictor of future mental disorders, even over periods of time when personality is subject to change.

Self-compassion in the face of shame and body image dissatisfaction: implications for eating disorders.

PubMed

Ferreira, Cláudia; Pinto-Gouveia, José; Duarte, Cristiana

2013-04-01

The current study examines the role of self-compassion in face of shame and body image dissatisfaction, in 102 female eating disorders' patients, and 123 women from general population. Self-compassion was negatively associated with external shame, general psychopathology, and eating disorders' symptomatology. In women from the general population increased external shame predicted drive for thinness partially through lower self-compassion; also, body image dissatisfaction directly predicted drive for thinness. However, in the patients' sample increased shame and body image dissatisfaction predicted increased drive for thinness through decreased self-compassion. These results highlight the importance of the affiliative emotion dimensions of self-compassion in face of external shame, body image dissatisfaction and drive for thinness, emphasising the relevance of cultivating a self-compassionate relationship in eating disorders' patients. Copyright © 2013. Published by Elsevier Ltd.

Genomic Analysis of Genotype-by-Social Environment Interaction for Drosophila melanogaster Aggressive Behavior.

PubMed

Rohde, Palle Duun; Gaertner, Bryn; Ward, Kirsty; Sørensen, Peter; Mackay, Trudy F C

2017-08-01

Human psychiatric disorders such as schizophrenia, bipolar disorder, and attention-deficit/hyperactivity disorder often include adverse behaviors including increased aggressiveness. Individuals with psychiatric disorders often exhibit social withdrawal, which can further increase the probability of conducting a violent act. Here, we used the inbred, sequenced lines of the Drosophila Genetic Reference Panel (DGRP) to investigate the genetic basis of variation in male aggressive behavior for flies reared in a socialized and socially isolated environment. We identified genetic variation for aggressive behavior, as well as significant genotype-by-social environmental interaction (GSEI); i.e. , variation among DGRP genotypes in the degree to which social isolation affected aggression. We performed genome-wide association (GWA) analyses to identify genetic variants associated with aggression within each environment. We used genomic prediction to partition genetic variants into gene ontology (GO) terms and constituent genes, and identified GO terms and genes with high prediction accuracies in both social environments and for GSEI. The top predictive GO terms significantly increased the proportion of variance explained, compared to prediction models based on all segregating variants. We performed genomic prediction across environments, and identified genes in common between the social environments that turned out to be enriched for genome-wide associated variants. A large proportion of the associated genes have previously been associated with aggressive behavior in Drosophila and mice. Further, many of these genes have human orthologs that have been associated with neurological disorders, indicating partially shared genetic mechanisms underlying aggression in animal models and human psychiatric disorders. Copyright © 2017 by the Genetics Society of America.

Automated analysis of connected speech reveals early biomarkers of Parkinson's disease in patients with rapid eye movement sleep behaviour disorder.

PubMed

Hlavnička, Jan; Čmejla, Roman; Tykalová, Tereza; Šonka, Karel; Růžička, Evžen; Rusz, Jan

2017-02-02

For generations, the evaluation of speech abnormalities in neurodegenerative disorders such as Parkinson's disease (PD) has been limited to perceptual tests or user-controlled laboratory analysis based upon rather small samples of human vocalizations. Our study introduces a fully automated method that yields significant features related to respiratory deficits, dysphonia, imprecise articulation and dysrhythmia from acoustic microphone data of natural connected speech for predicting early and distinctive patterns of neurodegeneration. We compared speech recordings of 50 subjects with rapid eye movement sleep behaviour disorder (RBD), 30 newly diagnosed, untreated PD patients and 50 healthy controls, and showed that subliminal parkinsonian speech deficits can be reliably captured even in RBD patients, which are at high risk of developing PD or other synucleinopathies. Thus, automated vocal analysis should soon be able to contribute to screening and diagnostic procedures for prodromal parkinsonian neurodegeneration in natural environments.

Development of borderline personality disorder in adolescence and young adulthood: introduction to the special section.

PubMed

Stepp, Stephanie D

2012-01-01

Recognizable symptoms and features of borderline personality disorder (BPD) appear during adolescence. However, there has been resistance to diagnose or research this disorder prior to adulthood because of clinical lore that BPD is a long-standing illness and that personality traits are not stable until adulthood. This has resulted in little information regarding the development of and risk factors for BPD in youth. The goal of this special section is to examine the development of BPD in adolescence and young adulthood using a broad collection of approaches, including a theoretical review paper, two prospective studies, and a multi-method cross-sectional study. This body of work provides new insights into vulnerabilities that may transact with early attachment relationships and experiences to predict the emergence of BPD in adolescence and young adulthood. These papers also point to future research that is needed to better understand the etiology, development, and course of BPD.

Impulsivity facets’ predictive relations with DSM-5 PTSD symptom clusters

PubMed Central

Roley, Michelle E.; Contractor, Ateka A.; Weiss, Nicole H.; Armour, Cherie; Elhai, Jon D.

2017-01-01

Objective Posttraumatic Stress Disorder (PTSD) has a well-established theoretical and empirical relation with impulsivity. Prior research has not used a multidimensional approach for measuring both PTSD and impulsivity constructs when assessing their relationship. Method The current study assessed the unique relationship of impulsivity facets on PTSD symptom clusters among a non-clinical sample of 412 trauma-exposed adults. Results Linear regression analyses revealed that impulsivity facets best accounted for PTSD’s arousal symptoms. The negative urgency facet of impulsivity was most predictive, as it was associated with all of PTSD’s symptom clusters. Sensation seeking did not predict PTSD’s intrusion symptoms, but did predict the other symptom clusters of PTSD. Lack of perseverance only predicted intrusion symptoms, while lack of premeditation only predicted PTSD’s mood/cognition symptoms. Conclusions Results extend theoretical and empirical research on the impulsivity-PTSD relationship, suggesting that impulsivity facets may serve as both risk and protective factors for PTSD symptoms. PMID:27243571

ARE EXECUTIVE FUNCTIONING DEFICITS CONCURRENTLY AND PREDICTIVELY ASSOCIATED WITH DEPRESSIVE AND ANXIETY SYMPTOMS IN ADOLESCENTS?

PubMed Central

Han, Georges; Helm, Jonathan; Iucha, Cornelia; Zahn-Waxler, Carolyn; Hastings, Paul D.; Klimes-Dougan, Bonnie

2015-01-01

Background The central objective of the current study was to evaluate how executive functions (EF), and specifically cognitive flexibility, were concurrently and predictively associated with anxiety and depressive symptoms in adolescence. Method Adolescents (N = 220) and their parents participated in this longitudinal investigation. Adolescents’ EF was assessed by the Wisconsin Card Sorting Test (WCST) during the initial assessment, and symptoms of depressive and anxiety disorders were reported by mothers and youths concurrently and two years later. Results Correlational analyses suggested that youths who made more total errors (TE), including both perseverative errors (PE) and non-perseverative errors (NPE), concurrently exhibited significantly more depressive symptoms. Adolescents who made more TE and those who made more NPE tended to have more anxiety symptoms two years later. SEM analyses accounting for key explanatory variables (e.g., IQ, disruptive behavior disorders, and attention deficit hyperactive disorder) showed that TE was concurrently associated with parent reports of adolescent depressive symptoms. Discussion The results suggest internalizing psychopathology is associated with global (TE) and nonspecific (NPE) EF difficulties, but not robustly associated with cognitive inflexibility (PE). Future research with the WCST should consider different sources of errors which are posited to reflect divergent underlying neural mechanisms, conferring differential vulnerability for emerging mental health problems. PMID:26042358

Medications Development for the Treatment of Alcohol Use Disorder: Insights into the Predictive Value of Animal and Human Laboratory Models

PubMed Central

Yardley, Megan M.; Ray, Lara A.

2016-01-01

Development of effective treatments for alcohol use disorder (AUD) represents an important public health goal. This review provides a summary of completed preclinical and clinical studies testing pharmacotherapies for treatment of AUD. We discuss opportunities for improving the translation from preclinical findings to clinical trial outcomes, focusing on the validity and predictive value of animal and human laboratory models of AUD. Specifically, while preclinical studies of medications development have offered important insights into the neurobiology of the disorder and alcohol's molecular targets, limitations include the lack of standardized methods and streamlined processes whereby animal studies can readily inform human studies. Behavioral pharmacology studies provide a less expensive and valuable opportunity to assess the feasibility of a pharmacotherapy prior to initiating larger scale clinical trials by providing insights into the mechanism of the drug, which can then inform recruitment, analyses, and assessments. Summary tables are provided to illustrate the wide range of preclinical, human laboratory, and clinical studies of medications development for alcoholism. Taken together, this review highlights the challenges associated with animal paradigms, human laboratory studies and clinical trials with the overarching goal of advancing treatment development and highlighting opportunities to bridge the gap between preclinical and clinical research. PMID:26833803

Predictors and Moderators of Treatment Response in Childhood Anxiety Disorders: Results from the CAMS Trial

PubMed Central

Compton, Scott N.; Peris, Tara S.; Almirall, Daniel; Birmaher, Boris; Sherrill, Joel; Kendall, Phillip C.; March, John S.; Gosch, Elizabeth A.; Ginsburg, Golda S.; Rynn, Moira A.; Piacentini, John C.; McCracken, James T.; Keeton, Courtney P.; Suveg, Cynthia M.; Aschenbrand, Sasha G.; Sakolsky, Dara; Iyengar, Satish; Walkup, John T.; Albano, Anne Marie

2014-01-01

Objective To examine predictors and moderators of treatment outcomes among 488 youth ages 7-17 years (50% female; 74% ≤ 12 years) with DSM-IV diagnoses of separation anxiety disorder, social phobia, or generalized anxiety disorder who were randomly assigned to receive either cognitive behavior therapy (CBT), sertraline (SRT), their combination (COMB), or medication management with pill placebo (PBO) in the Child/Adolescent Anxiety Multimodal Study (CAMS). Method Six classes of predictor and moderator variables (22 variables) were identified from the literature and examined using continuous (Pediatric Anxiety Ratings Scale; PARS) and categorical (Clinical Global Impression Scale-Improvement; CGI-I) outcome measures. Results Three baseline variables predicted better outcomes (independent of treatment condition) on the PARS, including low anxiety severity (as measured by parents and independent evaluators) and caregiver strain. No baseline variables were found to predict week 12 responder status (CGI-I). Participant's principal diagnosis moderated treatment outcomes, but only on the PARS. No baseline variables were found to moderate treatment outcomes on week 12 responder status (CGI-I). Discussion Overall, anxious children responded favorably to CAMS treatments. However, having more severe and impairing anxiety, greater caregiver strain, and a principal diagnosis of social phobia were associated with less favorable outcomes. Clinical implications of these findings are discussed. PMID:24417601

The role of lifetime anxiety history in the course of bipolar spectrum disorders.

PubMed

Titone, Madison K; Freed, Rachel D; O'Garro-Moore, Jared K; Gepty, Andrew; Ng, Tommy H; Stange, Jonathan P; Abramson, Lyn Y; Alloy, Lauren B

2018-06-01

Individuals with bipolar spectrum disorder (BSD) frequently meet criteria for comorbid anxiety disorders, and anxiety may be an important factor in the etiology and course of BSDs. The current study examined the association of lifetime anxiety disorders with prospective manic/hypomanic versus major depressive episodes. Participants were 244 young adults (aged 17-26) with milder forms of BSDs (i.e., bipolar-II, cyclothymia, BD-NOS). First, bivariate analyses assessed differences in baseline clinical characteristics between participants with and without DSM-IV anxiety diagnoses. Second, negative binomial regression analyses tested whether lifetime anxiety predicted number of manic/hypomanic or major depressive episodes developed during the study. Third, survival analyses evaluated whether lifetime anxiety predicted time to onset of manic/hypomanic and major depressive episodes. Results indicated that anxiety history was associated with greater illness severity at baseline. Over follow-up, anxiety history predicted fewer manic/hypomanic episodes, but did not predict number of major depressive episodes. Anxiety history also was associated with longer time to onset of manic/hypomanic episodes, but shorter time to onset of depressive episodes. Findings corroborate past studies implicating anxiety disorders as salient influences on the course of BSDs. Moreover, results extend prior research by indicating that anxiety disorders may be linked with reduced manic/hypomanic phases of illness. Copyright © 2018 Elsevier B.V. All rights reserved.

Mental disorders among college students in the WHO World Mental Health Surveys

PubMed Central

Auerbach, Randy P.; Alonso, Jordi; Axinn, William G.; Cuijpers, Pim; Ebert, David D.; Green, Jennifer Greif; Hwang, Irving; Kessler, Ronald C.; Liu, Howard; Mortier, Philippe; Nock, Matthew K.; Pinder-Amaker, Stephanie; Sampson, Nancy A.; Aguilar-Gaxiola, Sergio; Al-Hamzawi, Ali; Andrade, Laura H.; Benjet, Corina; Caldas-de-Almeida, José Miguel; Demyttenaere, Koen; Florescu, Silvia; de Girolamo, Giovanni; Gureje, Oye; Haro, Josep Maria; Karam, Elie G.; Kiejna, Andrzej; Kovess-Masfety, Viviane; Lee, Sing; McGrath, John J.; O’Neill, Siobhan; Pennell, Beth-Ellen; Scott, Kate; ten Have, Margreet; Torres, Yolanda; Zaslavsky, Alan M.; Zarkov, Zahari; Bruffaerts, Ronny

2016-01-01

Background Although mental disorders are significant predictors of educational attainment throughout the entire educational career, most research on mental disorders among students has focused on the primary and secondary school years. Methods The World Health Organization World Mental Health Surveys were used to examine the associations of mental disorders with college entry and attrition by comparing college students (n = 1,572) and nonstudents in the same age range (18–22; n = 4,178), including nonstudents who recently left college without graduating (n = 702) based on surveys in 21 countries (4 low/lower-middle income, 5 upper middle-income, 1 lower-middle or upper-middle at the times of two different surveys, and 11 high income). Lifetime and 12-month prevalence and age-of-onset of DSM-IV anxiety, mood, behavioural and substance disorders were assessed with the Composite International Diagnostic Interview. Results One-fifth (20.3%) of college students had 12-month DSM-IV/CIDI disorders. 83.1% of these cases had pre-matriculation onsets. Disorders with pre-matriculation onsets were more important than those with post-matriculation onsets in predicting subsequent college attrition, with substance disorders and, among women, major depression the most important such disorders. Only 16.4% of students with 12-month disorders received any 12-month healthcare treatment for their mental disorders. Conclusions Mental disorders are common among college students, have onsets that mostly occur prior to college entry, in the case of pre-matriculation disorders are associated with college attrition, and are typically untreated. Detection and effective treatment of these disorders early in the college career might reduce attrition and improve educational and psychosocial functioning. PMID:27484622

An investigation of the transdiagnostic model of eating disorders in the context of muscle dysmorphia.

PubMed

Murray, Stuart B; Rieger, Elizabeth; Karlov, Lisa; Touyz, Stephen W

2013-03-01

Muscle dysmorphia is a psychiatric disorder that has been conceptually linked to eating disorders, although its precise nosology remains unclear. To further investigate this notion, the present study examined the applicability of the transdiagnostic model of eating disorders to muscle dysmorphia. One hundred and nineteen male undergraduate students completed self-report measures of multidimensional perfectionism, mood intolerance, self-esteem, interpersonal problems, and muscle dysmorphia symptomatology. Self-oriented perfectionism, socially prescribed perfectionism, mood intolerance, and low self-esteem significantly predicted muscle dysmorphia symptomatology, whereas other-oriented perfectionism and interpersonal problems did not demonstrate significant predictive value when accounting for the other transdiagnostic constructs. The transdiagnostic model of eating disorders may potentially be applied to enhance our understanding of the maintenance of muscle dysmorphic features in addition to eating disorder symptomatology. Copyright © 2012 John Wiley & Sons, Ltd and Eating Disorders Association.

Predictors of Handwriting in Children with Autism Spectrum Disorder

ERIC Educational Resources Information Center

Hellinckx, Tinneke; Roeyers, Herbert; Van Waelvelde, Hilde

2013-01-01

During writing, perceptual, motor, and cognitive processes interact. This study explored the predictive value of several factors on handwriting quality as well as on speed in children with Autism Spectrum Disorder (ASD). Our results showed that, in this population, age, gender, and visual-motor integration significantly predicted handwriting…

Factors of Predicted Learning Disorders and their Interaction with Attentional and Perceptual Training Procedures.

ERIC Educational Resources Information Center

Friar, John T.

Two factors of predicted learning disorders were investigated: (1) inability to maintain appropriate classroom behavior (BEH), (2) perceptual discrimination deficit (PERC). Three groups of first-graders (BEH, PERC, normal control) were administered measures of impulse control, distractability, auditory discrimination, and visual discrimination.…