10 research outputs found
The Golden Age of European Cabaret
Program for the second annual RISD Cabaret held in the Cellar in the Pit. Design and layout by Anne Johnson, Susan Sellers and Georgie Stout.https://digitalcommons.risd.edu/liberalarts_cabaret_programs/1001/thumbnail.jp
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High Prevalence of Post-Traumatic Stress Symptoms in Relation to Social Factors in Affected Population One Year after the Fukushima Nuclear Disaster
Objective: This study investigated post-traumatic stress symptoms in relation to the population affected by the Fukushima Nuclear Disaster, one year after the disaster. Additionally, we investigated social factors, such as forced displacement, which we hypothesize contributed to the high prevalence of post-traumatic stress. Finally, we report of written narratives that were collected from the impacted population. Design and Settings Using the Impact of Event Scale-Revised (IES-R), questionnaires were sent to 2,011 households of those displaced from Fukushima prefecture living temporarily in Saitama prefecture. Of the 490 replies; 350 met the criteria for inclusion in the study. Multiple logistic regression analysis was performed to examine several characteristics and variables of social factors as predictors of probable post-traumatic stress disorder, PTSD. Results: The mean score of IES-R was 36.15±21.55, with 59.4% having scores of 30 or higher, thus indicating a probable PTSD. No significant differences in percentages of high-risk subjects were found among sex, age, evacuation area, housing damages, tsunami affected, family split-up, and acquaintance support. By the result of multiple logistic regression analysis, the significant predictors of probable PTSD were chronic physical diseases (OR = 1.97), chronic mental diseases (OR = 6.25), worries about livelihood (OR = 2.27), lost jobs (OR = 1.71), lost social ties (OR = 2.27), and concerns about compensation (OR = 3.74). Conclusion: Although there are limitations in assuming a diagnosis of PTSD based on self-report IES-R, our findings indicate that there was a high-risk of PTSD strongly related to the nuclear disaster and its consequent evacuation and displacement. Therefore, recovery efforts must focus not only on medical and psychological treatment alone, but also on social and economic issues related to the displacement, as well
Poverty, life events and the risk for depression in Uganda.
BACKGROUND: Understanding the determinants of major depression in sub-Saharan Africa is important for planning effective intervention strategies. OBJECTIVE: To investigate the social and life-event determinants of major depressive disorder in the African sociocultural context of rural Uganda. METHODS: A cross-section survey was carried out in 14 districts in Uganda from 1 June 2003 to 30 October 2004. 4,660 randomly selected respondents (15 years and above) were interviewed. The primary outcome was the presence of 'probable major depressive disorder' (PMDD) as assessed by the Hopkins symptom checklist. RESULTS: The prevalence of PMDD was 29.3% (95% confidence interval, 28.0-30.6%). Factors independently associated with depression in both genders included: the ecological factor, district; age (increase with each age category after 35 years); indices of poverty and deprivation (no formal education, having no employment, broken family, and socioeconomic classes III-V). Only a few adverse life events, notably those suggestive of a disrupted family background (death of a father in females and death of a mother in males) were associated with increased risk. CONCLUSION: Socioeconomic and sociodemographic factors, operating at both ecological and the individual level are the strongest independent determinants of depression. Adverse life events were less strongly associated with depression in this sample
Leveraging Technology in Post-Disaster Settings: the Role of Digital Health/Telemental Health
Comparison of the impact of natural and human-made technological disasters measured by IES-R.
<p>Comparison of the impact of natural and human-made technological disasters measured by IES-R.</p
Multivariate association between characteristics of the respondents and probable-PTSD.
<p>Multivariate association between characteristics of the respondents and probable-PTSD.</p
Bivariate associations between characteristics of the respondents and probable-PTSD.
<p>Bivariate associations between characteristics of the respondents and probable-PTSD.</p