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胡志, 陈若陵, 徐晓超, 马岁岁, 周成超, 秦侠. 农村社区老年抑郁症患病率影响因素调查[J]. 中国公共卫生, 2007, 23(3): 257-258. DOI: 10.11847/zgggws2007-23-03-01
引用本文: 胡志, 陈若陵, 徐晓超, 马岁岁, 周成超, 秦侠. 农村社区老年抑郁症患病率影响因素调查[J]. 中国公共卫生, 2007, 23(3): 257-258. DOI: 10.11847/zgggws2007-23-03-01
HU Zhi, CHEN Ruo-ling, XU Xiao-chao, . Survey on prevalence of geriatric depression and influence factors in rural community[J]. Chinese Journal of Public Health, 2007, 23(3): 257-258. DOI: 10.11847/zgggws2007-23-03-01
Citation: HU Zhi, CHEN Ruo-ling, XU Xiao-chao, . Survey on prevalence of geriatric depression and influence factors in rural community[J]. Chinese Journal of Public Health, 2007, 23(3): 257-258. DOI: 10.11847/zgggws2007-23-03-01

农村社区老年抑郁症患病率影响因素调查

Survey on prevalence of geriatric depression and influence factors in rural community

  • 摘要: 目的 调查农村社区老年抑郁症患病率,了解其危险因素,为制订防治措施提供科学依据.方法 采用整群随机抽样方法以及描述性分析、Logistic回归分析方法.结果 老年抑郁症患病率为5.9%.单因素分析表明,不同性别、婚姻状况和是否吸烟的老年人之间抑郁症患病率差异有统计学意义.多因素Logistic回归分析显示,女性、健康自评一般、经济自评差、独居、伤感情绪和恐怖经历则增加老年人抑郁症患病率,经常与他人交流可降低抑郁症患病率.结论 性别、婚姻状况、健康自评和经济自评以及负性生活事件是农村社区老年抑郁症患病的危险因素.

     

    Abstract: Objective To investigate the prevalence and risk factors of geriatric depression in rural areas of Anhui province,so as to provide scientific basis for making preventive measures of geriatric depression.Methods Cluster sampling was used in the study and the methods of descriptive analysis and multinomial logistic regression were used to examine the correlation between the geriatric depression and relevant factors.Results The A GECA Tidentified 95 cases of the geriatric depression and its prevalence was 5.9%.There was significant difference between the male and female,different marital status and smoking or not.Multinomial regression showed that the major risk factors of the geriatric depression were female,self-perceived poor health,self-perceived poor economy,living with non-lineal family members,having negative life events etc,and communicating with friends occasionally or frequently may decrease the prevalence of geriatric depression.Conclusion The risk factors are gender,marital status,economy and health self-percieving and negative life events.

     

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