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Objective: To master the Shanghai community elderly aged 60 and over age group is now suffering from depression, identify geriatric depression a major risk factor; understand the Shanghai urban and rural elderly community participation and social support status, identification affecting the elderly social participation factors for improving mental health elderly provide theoretical and policy basis. Methods: The study in Shanghai downtown and suburban areas over 60 years as a research object elderly in community, the application of cross-sectional study of epidemiological methods, respectively, using a multi-stage random sampling and proportionate multi-stage random cluster sampling methods were selected Xuhui District Papago six villages and Jiangnan Village, as well as the town of Jiang Fengjing Hamamura, Han Jing Village and Sun Li Village as a research site, the use of elderly mental status scale (Geriatric Mental StateSchedule, GMS) by the After a uniform training of investigators on 1227 60 years or older to-face survey also asked about their social participation and social support, and supporting the use of a computer diagnostic system GMS (the Automated Geriatric Examination for computer assisted Taxonommy, AGECAT ) for cases diagnosed, and then by a clinical psychiatrist fitting diagnosis. On this basis, the application of case-control study approach to this discovery of cases of depression in elderly patients, and in accordance with age, region requirements, cross-sectional study population were selected for geriatric depression risk factors. To ensure the quality of investigations, respectively, in the design, survey, data entry three phases taken the appropriate quality control measures, to maximize the control of the various factors that affect the accuracy of the results. Results: 1, Shanghai, the survey community elderly aged 60 and over age group was 3.7% prevalence of depression, severe depression prevalence rate of 2.1%. Male prevalence was 1.9% and the female prevalence was 5.2%, women were significantly higher than men. In the analysis of risk factors for depression in the elderly, the basis of comprehensive analysis, we select the sex, religion, self-assessment situation (economic satisfaction, life satisfaction, self-rated health, optimistic self-assessment), visual disturbances, family history of mental illness, combined number of chronic diseases disease, ADL damage, friends and family, outside help, help satisfaction, neighborhood relations, and negative life events (worried about their children, health change, economic hardship, relatives and friends died, sad experience, relatives conflict) and merge number of negative life events such variables, and found that there are four variables were initially identified with depression in the elderly, of which, religion (OR = 5.255,95% CI :1.976-13 .975), poor self-rated health (OR = 2.355, 95% CI :1.310-4 .232), combined negative life events (OR = 3.070,95% CI :2.014-4 .680) is a risk factor for depression. Help for obtaining satisfaction (OR = 0.163,95% CI :0.036-0 .742) is a protective factor for depression. 2, the survey found that over 60 years the highest participation rate of elderly in community organizations interested in activities of the organization, participation rate was 22.2%, followed by government organizations (such as the neighborhood, the street, the Civil Administration), etc., participation rate was 19.3% followed by volunteer organizations (participation rate of 17.2%), work-related organizations (such as trade unions, withdrawal management office, industry associations, etc.) (participation rate of 17.0%), the industry committee (15.2%), charitable organizations (13.0%) , political parties (11.8%), religious organizations (9.6%) and other organizations (1.5%). The various organizations involved in the central city was significantly higher than the outer suburbs, multivariate analysis, younger, higher education level, the possibility to participate in various activities of the organization, the greater the OR was 0.894 (95% CI: 0.813-0.982) and 1.608 (95% CI :1.398-1 .849) for the different nature of the organization groups, different socio-economic conditions of the elderly participation rate and related factors are not the same. Groups of older persons to participate in its various organizations derive a positive correlation between social support. Conclusion: social, psychological and other factors in the elderly an important risk factor for depression. In order to improve the mental health of older people, multi-channel social participation and effective social support should be the direction of future efforts for the elderly social participation and social support worthy of further study.
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