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Open Access Post-traumatic stress disorder associated with life-threatening motor vehicle collisions in the WHO World Mental Health Surveys

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dc.contributor.author Lukoye Atwoli
dc.contributor.author Stein Dan J
dc.contributor.author Andrew King
dc.contributor.author Maria Petukhova
dc.contributor.author SergioAguilar-Gaxiola
dc.contributor.author Jordi Alonso
dc.contributor.author Evelyn J. Bromet
dc.contributor.author Giovannide Girolamo
dc.contributor.author Koen Demyttenaere
dc.contributor.author Silvia Florescu
dc.contributor.author Joseph Maria Haro
dc.contributor.author Elie G. Karam
dc.contributor.author Norito Kawakami
dc.contributor.author Jean-PierreLepine
dc.contributor.author FernandoNavarro-Mateu
dc.contributor.author Siobhan O’Neill
dc.contributor.author Beth-EllenPennell
dc.contributor.author Marina Piazza
dc.contributor.author JosePosada-Villa
dc.contributor.author Sampson Nancy A
dc.date.accessioned 2019-01-30T13:02:02Z
dc.date.available 2019-01-30T13:02:02Z
dc.date.issued 2016-12-06
dc.identifier.uri https://onlinelibrary.wiley.com/doi/epdf/10.1002/da.22579
dc.identifier.uri http://ir.mu.ac.ke:8080/xmlui/handle/123456789/2557
dc.description.abstract Background: Unexpected death of a loved one (UD) is the most commonly reported traumatic experience in cross-national surveys. However, much remains to be learned about posttraumatic stress disorder (PTSD) after this experience. The WHO World Mental Health (WMH) survey ini- tiative provides a unique opportunity to address these issues. Methods: Data from 19 WMH surveys (n = 78,023; 70.1% weighted response rate) were collated. Potential predictors of PTSD (respondent sociodemographics, characteristics of the death, history of prior trauma exposure, history of prior mental disorders) after a representative sample of UDs were examined using logistic regression. Simulation was used to estimate overall model strength in targeting individuals at highest PTSD risk. Results: PTSD prevalence after UD averaged 5.2% across surveys and did not differ signifi- cantly between high-income and low-middle income countries. Significant multivariate predictors included the deceased being a spouse or child, the respondent being female and believing they could have done something to prevent the death, prior trauma exposure, and history of prior men- tal disorders. The final model was strongly predictive of PTSD, with the 5% of respondents having highest estimated risk including 30.6% of all cases of PTSD. Positive predictive value (i.e., the pro- portion of high-risk individuals who actually developed PTSD) among the 5% of respondents with highest predicted risk was 25.3%. Conclusions: The high prevalence and meaningful risk of PTSD make UD a major public health issue. This study provides novel insights into predictors of PTSD after this experience and sug- gests that screening assessments might be useful in identifying high-risk individuals for preventive interventions. en_US
dc.language.iso en en_US
dc.publisher https://onlinelibrary.wiley.com/doi/epdf/10.1002/da.22579 en_US
dc.subject Cross-national en_US
dc.subject Epidemiology en_US
dc.subject International en_US
dc.subject life events/stress en_US
dc.subject PTSD en_US
dc.subject Trauma en_US
dc.title Open Access Post-traumatic stress disorder associated with life-threatening motor vehicle collisions in the WHO World Mental Health Surveys en_US
dc.type Article en_US


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