李家忠,彭述蓉,黄培辉,胡晓亮,涂尊魁,巫高美,尹玲,高茹.芦山地震后6年雅安市城市老年人抑郁症状检出情况及影响因素[J].四川精神卫生杂志,2021,34(6):550-554.Li Jiazhong,Peng Shurong,Huang Peihui,Hu Xiaoliang,Tu Zunkui,Wu Gaomei,Yin Ling,Gao Ru,Depressive symptoms detection among the urban elderly in Ya'an city and its influencing factors six years after Lushan earthquake[J].SICHUAN MENTAL HEALTH,2021,34(6):550-554
芦山地震后6年雅安市城市老年人抑郁症状检出情况及影响因素
Depressive symptoms detection among the urban elderly in Ya'an city and its influencing factors six years after Lushan earthquake
投稿时间:2021-04-19  
DOI:10.11886/scjsws20210419002
中文关键词:  地震  城市老年人  抑郁症状
英文关键词:Earthquake  Urban elderly  Depressive symptoms
基金项目:四川省基层卫生事业发展研究中心(项目名称:城市老年人认知功能障碍研究,项目编号:SWFZ17-Y-36);雅安市科技计划项目(项目名称:芦山4.20地震后雅安地区精神障碍现状调查及干预对策研究,项目编号:2018yyjskf04)
作者单位邮编
李家忠 雅安市第四人民医院四川 雅安 625000 625000
彭述蓉 雅安市第四人民医院四川 雅安 625000 625000
黄培辉 雅安市第四人民医院四川 雅安 625000 625000
胡晓亮 雅安市第四人民医院四川 雅安 625000 625000
涂尊魁 雅安市第四人民医院四川 雅安 625000 625000
巫高美 雅安市第四人民医院四川 雅安 625000 625000
尹玲 雅安市第四人民医院四川 雅安 625000 625000
高茹 成都市温江区人民医院四川 成都 611130 611130
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中文摘要:
      目的 了解芦山地震后6年雅安市城市老年人抑郁症状检出率及特点,为灾难性事件后老年人群心理干预提供参考。方法 采取多阶段分层整群随机抽样方法,于2019年3月-4月选取雅安市城市老年人(年龄≥60岁)885名为研究对象,采用自制一般信息调查表收集老年人一般人口学资料、健康状况以及受灾情况,采用老年抑郁量表(GDS-30)评估其抑郁症状。采用单因素和多因素Logistic回归分析城市老年人抑郁症状的影响因素。结果 共回收有效问卷783份,有效问卷回收率为88.47%,检出存在抑郁症状者161例(20.56%);不同性别、年龄、婚姻状况、家庭关系、家庭人均月收入、身体锻炼情况、健康状况、生活自理情况、睡眠状况、受灾程度的城市老年人抑郁症状检出率比较差异均有统计学意义(P<0.05或0.01)。Logistic回归分析显示,女性(OR=1.552,P=0.040)、家庭人均月收入2000~3000元(OR=6.982,P<0.01)、家庭人均月收入≤2000元(OR=6.857,P<0.01)、无身体锻炼情况(OR=1.693,P<0.01)、生活部分自理(OR=3.838,P<0.01)、生活不能自理(OR=8.547,P<0.01)、多病可治愈(OR=4.892,P<0.01)、久病难治(OR=5.657,P=0.031)的老年人出现抑郁症状的风险较高;相比于离异和丧偶者,已婚老年人出现抑郁症状的风险更低(OR=0.063,P<0.01)。结论 芦山地震后6年雅安市城市老年人抑郁症状检出率较高,其中女性、家庭人均月收入低、无身体锻炼情况、生活不能完全自理、健康状况差为出现抑郁症状的危险因素,已婚为保护因素。
英文摘要:
      Objective To investigate the prevalence and characteristics of depressive symptoms among urban elderly six years after Lushan earthquake in Ya'an, so as to provide references for the mental health interventions for elderly following catastrophic stressful life events.Methods From March to April 2019, a multi-stage stratified cluster random sampling method was adopted to enroll 885 urban elderly people aged 60 and above in Ya'an. A self-compiled questionnaire was used to collect the general demographic information, health-related and disaster-related information, meantime, the elderly was assessed using Geriatric Depression Scale (GDS-30). Thereafter, univariate and multivariate Logistic regression were applied to explore the influencing factors of depressive symptoms in urban elderly.Results A total of 783 valid questionnaires were collected, with a questionnaires response rate of 88.47%. Depressive symptoms were detected in 161 cases (20.56%). The prevalence of depression showed statistical differences among the elderly of different gender, age, marital status, family relationship, monthly per capita household income, physical exercise status, health status, self-care ability, sleep status and disaster-affected degree (P<0.05 or 0.01). Logistic regression analysis showed that the urban elderly of the female gender (OR=1.552, P=0.040), monthly per capita household income of 2000~3000 yuan (OR=6.982, P<0.01), monthly per capita household income≤2000 yuan (OR=6.857, P<0.01), lack of physical exercise (OR=1.693, P<0.01), being less capable of self-care (OR=3.838, P<0.01), being incapable of self-care (OR=8.547, P<0.01), complicating multiple curable diseases (OR=4.892, P<0.01) and complicating refractory chronic diseases (OR=5.657, P=0.031) were at high risk of depressive symptoms. The risk of depressive symptoms among the divorced or widowed elderly was greater than that among married elderly (OR=0.063, P<0.01).Conclusion The prevalence of depressive symptoms is relatively high among the urban elderly six years after Lushan earthquake in Ya'an, moreover, female gender, low monthly per capita household income, lack of physical exercise, being incapable of self-care and poor health status are risk factors affecting the depressive symptom, while being married is a protective factor.
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