8 research outputs found
Logistic regression analyses of socio-demographic and conflict related trauma correlates of suicidal ideation, plans and attempt.
1<p>p = 0.000 <sup>2</sup>p = 0.024 <sup>3</sup>p = 0.05 <sup>4</sup>p = 0.023</p><p>For sex the comparator category is male so only the OR for females is shown.</p><p>For age the comparator category is 18-34.</p
Proportions endorsing suicidal ideation, plans and attempt among those with no traumatic event, only non-conflict related traumatic events, conflict-related traumatic events and any traumatic event.
<p>χ<sup>2</sup> test indicates a significant difference compared to those with no traumatic event <sup>1</sup>P = 0.0000 <sup>2</sup>p = 0.0002 <sup>3</sup>p = 0.0001 <sup>4</sup>p = 0.0018 <sup>5</sup>p = 0.0024.</p
Prevalence (%) of lifetime suicide ideation, plan, and attempts among women (n = 2441) and men (n = 1899) in the NISHS.
1<p>p<0.05</p><p>- missing CI and p value due to stratum with single sampling unit.</p
Relative WHODAS dimension contributions to the indirect effect of disability on perceived health VAS for each condition, overall sample.
<p>WMH Surveys (Alcohol Abuse and Drug Abuse are not represented because their respective overall indirect effect is not significant).</p
Direct and indirect effects (via WHODAS dimensions) of common chronic conditions on perceived health VAS, overall sample.
<p>WMH Surveys.</p
Distribution of the WHODAS dimension scores by income level. The WMH Surveys.
<p>Distribution of the WHODAS dimension scores by income level. The WMH Surveys.</p
General mediation model used in analyses.
<p>The figure displays the general mediation model that has been used to estimate effects according to path-diagrammatic conventions. Squares represent variables. <i>D<sub>i</sub></i> is one of the <i>p = 19</i> disorders under consideration, <i>M<sub>j</sub></i> is one of the <i>k = 8</i> mediating variables (disability dimensions), and VAS is the final outcome. Arrows represent regression slope parameters from independent variables to outcomes. The <i>δ</i> parameters stand for the direct effect regression from disorders to the final outcome. The <i>ι</i> parameters indicate the two regression components of the disorder indirect effects as mediated by <i>M</i>: a) <i>p</i> x <i>k</i> regression parameters from <i>D</i> to <i>M</i> (<i>ι<sub>Dij</sub></i>) and b) k regression parameters from <i>M</i> to VAS (<i>ι<sub>M</sub></i><sub>j</sub>). For each disorder the model can be decomposed in two paths: 1) VAS regressed on disorders, and 2) a causal mediation chain of VAS regressed on mediators which in turn are regressed on disorders. The partial indirect effect of a certain disorder <i>D<sub>i</sub></i> through a mediator <i>M<sub>j</sub></i> is <i>ι<sub>Dij</sub></i> x <i>ι<sub>Mj</sub></i>, whereas its total indirect effect is the sum of the <i>k</i> products across mediators (). Total effects for a disorder are the sum of direct and total indirect effect (<i>δ<sub>i</sub></i>+<i>Ι<sub>i</sub></i>). Directionality cannot be assumed as a causal association in our study due to its cross-sectional, observational nature. Also notice that in the general model, the effect of each disorder on each mediator is adjusted by the direct effect of the remaining disorders (thus controlling for comorbidity), while the impact of a disorder on VAS is controlled by the total effects of the other disorders. Disability is thus fully taken into account, even though it is decomposed in subscales. The effects on VAS are also controlled for age, gender, employment status and country.</p
Effects (direct and indirect via WHODAS dimension scores) of conditions on perceived health VAS, overall sample.
<p>WMH surveys.</p><p>p-value<0.05.</p>1<p>Only dimensions with statistically significant effect are included. Getting along and Discrimination not statistically significant.</p