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      Positive Links Between Exposure to Police Violence, PTSD, and Depression Symptoms Among Yellow Vests Protesters in France

      1 , 2 , 3
      Journal of Interpersonal Violence
      SAGE Publications

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          Abstract

          Police violence during protests occurs worldwide with varying levels ranging from physical abuse to lethal use of force. Although prior research has investigated the health consequences of exposure to police violence (EPV), EPV’s relationship with protesters’ mental health has not yet been examined. Therefore, we designed a cross-sectional study which included measures of self-reported EPV, depression, and post-traumatic stress symptoms. The computerized survey was disseminated among a large sample of Yellow Vests protesters in France ( N = 523; average protest attendance = 18). Overall, 49% of protesters displayed severe symptoms of depression and 15.5% met the criteria for provisory post-traumatic stress disorder (PTSD) diagnoses. Subsequent analyses revealed, as expected, positive associations between EPV, depression, and post-traumatic stress symptoms in our sample (.30 < d < .63). These were robust to adjustment on several potential confounds (e.g., physical injuries, demographics, political extremism) and similar when analyzing provisory diagnoses rates (1.65 < OR < 3.02). This study is the first to assess potentially detrimental effects of EPV on mental health during protests. Furthermore, prevalence rates for both provisory depression and PTSD diagnoses were comparable with those found among war-refugee populations. We call for further research on EPV among various protester samples and use longitudinal designs to investigate a potent risk factor for mental health issues among civilian populations.

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          Most cited references30

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          Causation and causal inference in epidemiology.

          Concepts of cause and causal inference are largely self-taught from early learning experiences. A model of causation that describes causes in terms of sufficient causes and their component causes illuminates important principles such as multi-causality, the dependence of the strength of component causes on the prevalence of complementary component causes, and interaction between component causes. Philosophers agree that causal propositions cannot be proved, and find flaws or practical limitations in all philosophies of causal inference. Hence, the role of logic, belief, and observation in evaluating causal propositions is not settled. Causal inference in epidemiology is better viewed as an exercise in measurement of an effect rather than as a criterion-guided process for deciding whether an effect is present or not.
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            Development and preliminary validation of a brief broad-spectrum measure of trauma exposure: the Traumatic Life Events Questionnaire.

            This article describes the development and preliminary validation of a brief questionnaire that assesses exposure to a broad range of potentially traumatic events. Items were generated from multiple sources of information. Events were described in behaviorally descriptive terms, consistent with Diagnostic and Statistical Manual of Mental Disorders IV posttraumatic stress disorder stressor criterion A1. When events were endorsed, respondents were asked if they experienced intense fear, helplessness, or horror (stressor criterion A2). In separate studies with college students, Vietnam veterans, battered women, and residents of a substance abuse program, most items possessed adequate to excellent temporal stability. In a study comparing questionnaire and structured-interview inquiries of trauma history, the 2 formats yielded similar rates of disclosure. Preliminary data on positive predictive power are also presented.
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              Is Open Access

              Psychometric Validation of the English and French Versions of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5)

              The purpose of this study is to assess the psychometric properties of a French version of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5), a self-report measure of posttraumatic stress disorder (PTSD) symptoms, and to further validate the existing English version of the measure. Undergraduate students (n = 838 English, n = 262 French) completed the PCL-5 as well as other self-report symptom measures of PTSD and depression online. Both the English and French versions PCL-5 total scores demonstrated excellent internal consistency (English: α = .95; French: α = .94), and strong convergent and divergent validity. Strong internal consistency was also observed for each of the four subscales for each version (α’s > .79). Test-retest reliability for the French version of the measure was also very good (r = .89). Confirmatory factor analysis indicated that the four-factor DSM-5 model was not a good fit of the data. The seven-factor hybrid model best fit the data in each sample, but was only marginally superior to the six-factor anhedonia model. The French version of the PCL-5 demonstrated the same psychometric qualities as both the English version of the same measure and previous versions of the PCL. Thus clinicians serving French-speaking clients now have access to this highly used screening instrument. With regards to the structural validity of the PCL-5 and of the new PTSD diagnostic structure of the DSM-5, additional research is warranted. Replication of our results in clinical samples is much needed.
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                Author and article information

                Journal
                Journal of Interpersonal Violence
                J Interpers Violence
                SAGE Publications
                0886-2605
                1552-6518
                July 08 2020
                : 088626052093586
                Affiliations
                [1 ]Istanbul Şehir University, Turkey
                [2 ]Aix-Marseille University, France
                [3 ]Paris 5 University, France
                Article
                10.1177/0886260520935863
                ba103e72-8057-4d46-88c1-214f77d9d47f
                © 2020

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

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