The Saudi National Mental Health Survey: Sample design and weight development

ObjectivesTo describe the sample design and weighting procedures used in the Saudi National Mental Health Survey (SNMHS).MethodsA multistage clustered area probability design was used to select the SNMHS sample with one male and one female KSA citizen ages 15- 65 surveyed in each sample household.ResultsA design representative of the household population was developed and modified iteratively to adjust for unanticipated field complications. These modifications, along with variation in within- household probabilities of selection and geographic- demographic variation in response rates were accounted for through survey weights. Design- based estimation methods were used to adjust for the effects of these weights and of geographic clustering. Design effects were estimated and simulations were carried out on bias- variancetrade- offs in weight trimming to evaluate the implication of design features for precision of estimates.ConclusionsThe multiple purposes of the survey will require the use of different weights for different types of analyses, including household and person weights as well as weights for proxy reports about household members whose disabilities prevented them from participating in the survey. It will be important to use these different weights appropriately in the diverse analyses that will be undertaken with the SNMHS data.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/162744/2/mpr1829.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/162744/1/mpr1829_am.pd

South African Stress and Health (SASH) study : 12-month and lifetime prevalence of common mental disorders

The original publication is available at http://www.samj.org.zaBackground. The South African Stress and Health (SASH) study is the first large-scale population-based study of common mental disorders in the country. This paper provides data on the 12-month and lifetime prevalence of these conditions. Methods. Data from a nationally representative sample of 4 351 adults were analysed. Mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). An extensive survey questionnaire detailed contextual and socio-demographic factors, onset and course of mental disorders, and risk factors. Simple weighted cross-tabulation methods were used to estimate prevalence, and logistic regression analysis was used to study correlates of 12-month and lifetime prevalence. Results. The lifetime prevalence for any disorder was 30.3%, and the most prevalent 12-month and lifetime disorders were the anxiety disorders. The Western Cape had the highest 12-month and lifetime prevalence rates, and the lowest rates were in the Northern Cape. Conclusions. The SASH study shows relatively high 12-month and lifetime prevalence rates. These findings have significant implications for planning mental health services.Publishers' versio

Life stress and mental disorders in the South African stress and health study

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 sociodemographic 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 sociodemographic 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

Life stress and mental disorders in the South African stress and health study

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 sociodemographic 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 sociodemographic 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

The South African Stress and Health (SASH) study: 12-month and lifetime prevalence of common mental disorders

Background. The South African Stress and Health (SASH) study is the first large-scale population-based study of common mental disorders in the country. This paper provides data on the 12-month and lifetime prevalence of these conditions. Methods. Data from a nationally representative sample of 4 351 adults were analysed. Mental disorders were assessed with the Composite International Diagnostic Interview (CIDI). An extensive survey questionnaire detailed contextual and socio-demographic factors, onset and course of mental disorders, and risk factors. Simple weighted cross-tabulation methods were used to estimate prevalence, and logistic regression analysis was used to study correlates of 12-month and lifetime prevalence. Results. The lifetime prevalence for any disorder was 30.3%, and the most prevalent 12-month and lifetime disorders were the anxiety disorders. The Western Cape had the highest 12-month and lifetime prevalence rates, and the lowest rates were in the Northern Cape. Conclusions. The SASH study shows relatively high 12-month and lifetime prevalence rates. These findings have significant implications for planning mental health services

P1‐567: Cognitive Impairment And Community Resource Needs For Older Mexican Americans: The Brain Attack Surveillance In Corpus Christi (Basic)‐Cognitive Project

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/152518/1/alzjjalz2019061172.pd

Attention Deficit Hyperactivity Disorder and Risk of Posttraumatic Stress and Related Disorders: A Prospective Longitudinal Evaluation in U.S. Army Soldiers

Crossâ sectional associations between attention deficit hyperactivity disorder (ADHD) and posttraumatic stress disorder (PTSD) have been observed, but longitudinal studies assessing this association are lacking. This prospective study evaluated the association between predeployment ADHD and postdeployment PTSD among U.S. Army soldiers. Soldiers who deployed to Afghanistan were surveyed before deployment (T0) and approximately 1 month (T1), 3 months (T2), and 9 months (T3) after their return. Logistic regression was performed to estimate the association between predeployment ADHD and postdeployment (T2 or T3) PTSD among 4,612 soldiers with data at all waves and no record of stimulant medication treatment during the study. To evaluate specificity of the ADHDâ PTSD association, we examined associations among predeployment ADHD, postdeployment major depressive episode (MDE), generalized anxiety disorder (GAD), and suicidal ideation. Weighted prevalence of ADHD predeployment was 6.1% (SE = 0.4%). Adjusting for other risk factors, predeployment ADHD was associated with risk of postdeployment PTSD, adjusted odds ratio (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001, including incidence among soldiers with no predeployment history of PTSD, AOR = 2.50, 95% CI [1.69, 3.69], p < .001. ADHD was associated with postdeployment MDE, AOR = 2.80, 95% CI [2.01, 3.91], p < .001, and GAD, AOR = 3.04, 95% CI [2.10, 4.42], p < .001, but not suicidal ideation. Recognition of associations between predeployment ADHD and postdeployment PTSD, MDE, and GAD may inform targeted prevention efforts. Future research should examine whether treatment of ADHD is protective against PTSD and related disorders in traumaâ exposed individuals.ResumenSpanish Abstracts by Asociación Chilena de Estrés Traumático (ACET)El trastorno de déficit atencional con hiperactividad y el riesgo del trastorno de estrés postraumático y trastornos relacionados: Una evaluación longitudinal prospectiva en soldados del ejército estadounidenseTDAH Y RIESGO DE TEPT EN SOLDADOS DEL EJà RCITO DE EE.UU.Se han observado asociaciones transversales entre el trastorno por déficit de atención con hiperactividad (TDAH) y el trastorno por estrés postraumático (TEPT), pero faltan estudios longitudinales que evalúen esta asociación. Este estudio prospectivo evaluó la asociación entre el TDAH previo al despliegue y el TEPT posterior al despliegue entre los soldados del Ejército de Estados Unidos. Los soldados desplegados en Afganistán fueron encuestados antes del despliegue (T0) y aproximadamente 1 mes (T1), 3 meses (T2), y 9 meses (T3) después de su regreso del despliegue. Se realizó una regresión logística para estimar la asociación entre el TDAH previo al despliegue y el TEPT posterior al despliegue (T2 o T3) en 4.612 soldados con datos en todas las etapas y sin registro de tratamiento con medicamentos estimulantes durante el estudio. Para evaluar la especificidad de la asociación TDAHâ TEPT, examinamos las asociaciones entre el TDAH previo al despliegue, el episodio depresivo mayor posterior al despliegue (EDM), el trastorno de ansiedad generalizada (TAG), y la ideación suicida. La prevalencia ponderada del TDAH previo al despliegue fue de 6.1% (SE = 0.4%). Al controlar los otros factores de riesgo, el TDAH previo al despliegue se asoció con el riesgo de TEPT posterior al despliegue, odds ratio ajustado (AOR en su sigla en inglés) = 2.13, IC del 95% [1.51, 3.00], p <.001, incluida la incidencia entre soldados sin historial previo al despliegue de TEPT, AOR = 2.50, IC del 95% [1.69, 3.69], p <.001. El TDAH se asoció con el EDM posterior al despliegue, AOR = 2.80, IC del 95% [2.01, 3.91], p <.001, y TAG, AOR = 3.04, IC del 95% [2.10, 4.42], p <.001, pero no con ideación suicida. El reconocimiento de las asociaciones entre el TDAH previo al despliegue y el TEPT, el EDM, y el TAG posterior al despliegue puede informar los esfuerzos de prevención específicos. Las investigaciones futuras deberían examinar si el tratamiento del TDAH protege contra el TEPT y los trastornos relacionados en personas expuestas a trauma.æ ½è±¡Traditional and Simplified Chinese Abstracts by the Asian Society for Traumatic Stress Studies (AsianSTSS)ç°¡é« å ç¹ é« ä¸­æ æ ®è¦ ç ±äº æ´²å µå ·å¿ ç ç  ç©¶å­¸æ 翻譯Attention Deficit Hyperactivity Disorder and Risk of Posttraumatic Stress and Related Disorders: A Prospective Longitudinal Evaluation in US Army SoldiersTraditional Chineseæ¨ é¡ : å° æ³¨å ä¸ è¶³æ é åº¦æ´»èº ç è æ £å µå ·å¾ å£ å ç å ç ¸é ç ¾ç ç é¢¨é ª:å° ç¾ å è» äººé ²è¡ ç å ç »ç¸±è²«ç  ç©¶æ ®è¦ : é å¾ ä¸ ç ´æ ç  ç©¶æª¢è¦ å° æ³¨å ä¸ è¶³æ é åº¦æ´»èº ç (ADHD)è å µå ·å¾ å£ å ç (PTSD)ä¹ é ç æ©«æ ·æ §é é £, å ¯æ ¯, æ å ä» æ¬ ç¼ºæª¢è¦ å ©è é é £ç ç¸±è²«ç  ç©¶ã æ ¬å ç »ç  ç©¶æ ¨å ¨é é ç¾ è» æ¨£æ ¬, è© ä¼°æ å½¹å ADHDè· æ å½¹å¾ PTSDç é é £ã æ¨£æ ¬ç ºå å¾ é ¿å¯ æ± æ å½¹ç è» äºº, å ¨æ å½¹å (T0)å å® æ æ å½¹å¾ ç´ 1å æ (T1)ã 3å æ (T2)å 9å æ (T3)æ ¥å èª¿æ ¥ã æ å 以é 輯迴歸å æ å æ æ 波段ç æ ¸æ , ä¼°è¨ 4,612å è» äººæ å½¹å ADHDè· æ å½¹å¾ (T2 æ T3)PTSDç é é £ã ç  ç©¶ä¸­, æ¨£æ ¬ä¸¦ç ¡æ ç ¨è å¥®è ¥ç ©ã ç ºäº è§£ADHDâ PTSDç ç ¹æ® é é £, æ å æª¢è¦ ä»¥ä¸ é  ç ®ä¹ é ç é é £:æ å½¹å ADHDã å® æ æ å½¹å¾ ç å ´é æ é¬±ç¯ æ®µ(MDE)ã å»£æ³ æ §ç ¦æ ®ç (GAD)ã è ªæ®ºæ 念ã æ å½¹å ADHDæ ®é åº¦ç º6.1% (SE = 0.4%)ã å° å ¶ä» é¢¨é ªå  ç´ ä½ èª¿ç¯ å¾ , æ å½¹å ADHDè· æ å½¹å¾ æ £PTSDç é¢¨é ªæ æ é é £(å·²èª¿ç¯ å ç® æ¯ (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001), ç ¶ä¸­å æ ¬æ å½¹å ä¸¦ç ¡PTSDç è» äºº(AOR = 2.50, 95% CI [1.69, 3.69], p < .001)ã ADHDè· å® æ æ å½¹å¾ æ £MDEç (AOR = 2.80, 95% CI [2.01, 3.91], p < .001)å GAD(AOR = 3.04, 95% CI [2.10, 4.42] p < .001)é ½æ é , ä½ è· è ªæ®ºæ å¿µç ¡é ã äº è§£æ å½¹å ADHDè· æ å½¹å¾ PTSDã MDEå GADç é é £, å ¯è ½æ å ©ç ¼å± é å° æ §ç é  é ²å·¥ä½ ã æ ªä¾ ç  ç©¶æ æª¢è¦ å° å å µäººå£«æ ä¾ ADHDæ²»ç , æ ¯å ¦å° å ¶PTSDå ç ¸é ç ¾ç æ ä¿ è­·æ æ ã Simplified Chineseæ  é¢ : ä¸ æ³¨å ä¸ è¶³æ è¿ åº¦æ´»è· ç ä¸ æ £å 伤å å å ç å ç ¸å ³ç ¾ç ç é£ é ©:å¯¹ç¾ å ½å äººè¿ è¡ ç å ç »çºµè´¯ç  ç©¶æ ®è¦ : è¿ å¾ ä¸ ç ´æ ç  ç©¶æ£ è§ ä¸ æ³¨å ä¸ è¶³æ è¿ åº¦æ´»è· ç (ADHD)ä¸ å 伤å å å ç (PTSD)ä¹ é ´ç æ¨ªæ ­æ §å ³è¿ , å ¯æ ¯, æ ä»¬ä» æ¬ ç¼ºæ£ è§ ä¸¤è å ³è¿ ç çºµè´¯ç  ç©¶ã æ ¬å ç »ç  ç©¶æ ¨å ¨é è¿ ç¾ å æ ·æ ¬, è¯ ä¼°æ å½¹å ADHDè· æ å½¹å PTSDç å ³è¿ ã æ ·æ ¬ä¸ºå å¾ é ¿å¯ æ± æ å½¹ç å 人, å ¨æ å½¹å (T0)å å® æ æ å½¹å 约1个æ (T1)ã 3个æ (T2)å 9个æ (T3)æ ¥å è° æ ¥ã æ ä»¬ä»¥é »è¾ å å½ å æ å æ æ 波段ç æ °æ ®, 估计4,612å å 人æ å½¹å ADHDè· æ å½¹å (T2 æ T3)PTSDç å ³è¿ ã ç  ç©¶ä¸­, æ ·æ ¬å¹¶æ  æ ç ¨å ´å¥ è ¯ç ©ã ä¸ºäº è§£ADHDâ PTSDç ç ¹æ® å ³è¿ , æ ä»¬æ£ è§ ä»¥ä¸ é¡¹ç ®ä¹ é ´ç å ³è¿ :æ å½¹å ADHDã å® æ æ å½¹å ç 严é æ é è 段(MDE)ã å¹¿æ³ æ §ç ¦è ç (GAD)ã è ªæ æ 念ã æ å½¹å ADHDæ ®é 度为6.1% (SE = 0.4%)ã å¯¹å ¶ä» é£ é ©å  ç´ ä½ è° è å , æ å½¹å ADHDè· æ å½¹å æ £PTSDç é£ é ©æ æ å ³è¿ (å·²è° è è ç® æ¯ (AOR) = 2.13, 95% CI [1.51, 3.00], p < .001), å½ ä¸­å æ ¬æ å½¹å å¹¶æ  PTSDç å 人(AOR = 2.50, 95% CI [1.69, 3.69], p < .001)ã ADHDè· å® æ æ å½¹å æ £MDEç (AOR = 2.80, 95% CI [2.01, 3.91], p < .001)å GAD(AOR = 3.04, 95% CI [2.10, 4.42] p < .001)é ½æ å ³, ä½ è· è ªæ æ å¿µæ  å ³ã äº è§£æ å½¹å ADHDè· æ å½¹å PTSDã MDEå GADç å ³è¿ , å ¯è ½æ å ©å å± é å¯¹æ §ç é¢ é ²å·¥ä½ ã æ ªæ ¥ç  ç©¶åº æ£ è§ å¯¹å å 人士æ ä¾ ADHDæ²»ç , æ ¯å ¦å¯¹å ¶PTSDå ç ¸å ³ç ¾ç æ ä¿ æ ¤æ åº ãPeer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/146971/1/jts22347_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/146971/2/jts22347.pd

Sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES)

This paper provides an overview of the probability sample designs and sampling methods for the Collaborative Psychiatric Epidemiology Studies (CPES): the National Comorbidity Survey Replication (NCS-R), the National Study of American Life (NSAL) and the National Latino and Asian American Study of Mental Health (NLAAS). The multi-stage sample design and respondent selection procedures used in these three studies are based on the University of Michigan Survey Research Center's National Sample designs and operations. The paper begins with a general overview of these designs and procedures and then turns to a more detailed discussion of the adaptation of these general methods to the three specific study designs. The detailed discussions of the individual study samples focus on design characteristics and outcomes that are important to analysts of the CPES data sets and to researchers and statisticians who are planning future studies. The paper describes how the expected survey cost and error structure for each of these surveys influenced the original design of the samples and how actual field experience led to changes and adaptations to arrive at the final samples of each survey population. Copyright © 2004 Whurr Publishers Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/34225/1/179_ftp.pd

Approximating A Dsm‐5 Diagnosis Of Ptsd Using Dsm‐Iv Criteria

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/111929/1/da22364.pd

Predictive validity and correlates of selfâ assessed resilience among U.S. Army soldiers

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142339/1/da22694.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/142339/2/da22694_am.pd