ArticleFrontiers in psychiatry2020
Prevalence of and Risk Factors for Depression Among Older Persons 6 Months After the Lushan Earthquake in China: A Cross-Sectional Survey.
Article in Frontiers in psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 9 citations in OpenAlex.
- Anxiety and depression among survivors 5 years after the Lushan earthquake: a large cross-sectional clinical diagnostic study.BMC psychiatry · 2026Article
- Health and well-being of older populations affected by humanitarian crises in low- and middle-income countries: a scoping review of peer-reviewed literature.Conflict and health · 2024Article
- Prevalence and Family Determinants of Geriatric Depression Among Elderly People in Elderly Support Groups in Rwanda.Psychology research and behavior management · 2023Article
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Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOlder persons are particularly vulnerable to the impact of earthquakes and are more likely to suffer from depression.
objectivesWe aimed to estimate the prevalence of depression, to compare the prevalence between disaster-affected and non-disaster affected areas, and to explore additional risk factors for depression 6 months after the Lushan earthquake.
designA cross-sectional study was conducted.
settingA magnitude 7.0 earthquake occurred in Lushan County, Ya'an Prefecture, Sichuan Province, on April 20, 2013. In total, 196 people were killed, and 11,470 were injured over 5 days.
participantsA multistage cluster sampling strategy was used. A total of 1,509 older persons (aged 60 or older) participated.
methodsThe Geriatric Depression Scale-15, the University of California Los Angeles Loneliness scale, the Activities of Daily Living Scale, the Social Support Rating Scale, and the Family Apgar Index scale were used to evaluate symptoms of depression, loneliness, dependence with respect to activities of daily living, perceived social support, and family function, respectively. A generalized linear regression model and multiple logistic regression analysis were employed to identify risk factors for depression.
resultsUsing a cutoff score of 8, the prevalence of depression was 29.16% in the hardest-hit disaster area, 29.06% in the hard-hit disaster area, 31.61% in the moderately-hit disaster area, 17.94% in the remote non-disaster area, and 12.28% in the neighboring non-disaster area. The prevalence was significantly higher in the disaster areas than in the non-disaster areas. Risk factors for depression included an educational level of elementary school or lower, a greater number of chronic illnesses, feelings of loneliness, limitations in activities of daily living, family dysfunction, and low levels of social support.
conclusionDepression was highly prevalent in elderly survivors and was significantly more prevalent in disaster areas than in non-disaster areas. Psychological interventions and care should focus on older survivors.
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