14 research outputs found

    Additional file 1: Table S1. of Post-traumatic stress disorder associated with life-threatening motor vehicle collisions in the WHO World Mental Health Surveys

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    World Mental Health sample characteristics by World Bank income categories. Table S2. The distribution of lifetime MVCs and DSM-IV/CIDI PTSD associated with MVCs in the participating World Mental Health surveys. Table S3. Prevalence of PTSD, by selected demographic and collision-specific characteristics, weighted analysis (n = 649). Table S4. Associations of individual prior traumatic events (TE’s) with DSM-IV/CIDI PTSD after randomly selected motor vehicle collisions in the total sample (n = 649). Table S5. Associations of childhood adversities (CAs) with DSM-IV/CIDI PTSD after randomly selected motor vehicle collisions in the total sample (n = 649). Table S6. Associations of prior DSM-IV/CIDI mental disorders with DSM-IV/CIDI PTSD after randomly selected motor vehicle collisions in the total sample (n = 649). (DOCX 74 kb

    Association between traumatic events and persistence of suicidal behavior<sup>1</sup>.

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    <p>*Significant at the 0.05 level, 2-sided test.</p>1<p>Assessed in Part II sample due to having Part II controls. Countries include: Belgium, Brazil, Bulgaria, Colombia, France, Germany, India, Israel, Italy, Japan, Lebanon, Mexico, Netherlands, New Zealand, Nigeria, People's Republic of China, Romania, South Africa, Spain, Ukraine, United States. Results are based on discrete time survival model with country differences, a set of age-related variables (i.e., age, onset and time since onset), sociodemographic variables (including sex, educational attainment and marriage), parent psychopathology, and childhood adversity as a control (additional details available upon request).</p>2<p>Each row represents a separate bivariate model; some models do not include data from all countries if the country is missing the variable. India and Brazil were dropped in the bivariate model for Combat, Exposure to War and Refugees; and Brazil was dropped in the bivariate model for Natural Disaster. For Israel, the entire sample is coded “Yes” for Exposure to War with the age of onset set to the age they moved to Israel.</p>3<p>Some countries were missing part of the trauma variables and were coded “No” for those variables in the multivariate models: Combat, Exposure to War and Refugee were all coded “No” for India and Brazil; and Natural Disaster was also coded “No” for Brazil. For Israel, the entire sample is coded “Yes” for Exposure to War with the age of onset set to the age they moved to Israel.</p>4<p>For number of events, the last odd ratio represents the odd of the number or more. For example, for the attempt among ideators, 6 events represent 6 or more events (i.e., 6+ events).</p

    Bivariate model for associations between traumatic events and suicidal behavior<sup>1</sup>.

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    <p>*Significant at the .05 level, two-sided test.</p>1<p>Assessed in Part II sample due to having Part II controls. Each row represents a separate bivariate model; some models do not include data from all countries if the country is missing the variable. India and Brazil were dropped in the bivariate model for Combat, Exposure to War and Refugees; and Brazil was dropped in the bivariate model for Natural Disaster. For Israel, the entire sample is coded “Yes” for exposure to war with the age of onset set to the age they moved to Israel. Controls for all models included person-year, country, demographic factors (age, sex, time-varying education, time-varying marriage), interactions between life course (3 dichotomous dummies representing early, middle, and later years in the person's life) and demographic variables, parent psychopathology, and childhood adversities (additional details available upon request).</p
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