印度喀拉拉邦农村社区老年抑郁症患病率及相关因素

A. Thomas, B. Susan, J. Kalliath, Vinu K. Cherian, Brilly M. Rose, Anuradha Kizhatil, Alexander John
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引用次数: 0

摘要

背景:老年人是抑郁症的弱势群体,因为他们特别容易遭受抑郁症发作的不良后果,并且完成自杀的比例更高。本研究旨在估计老年抑郁症的患病率和决定因素。方法:对2019年1月1日至2020年1月1日在印度埃纳库拉姆地区不同农村街区的250名老年人进行横断面研究。采用多阶段抽样技术和老年抑郁量表(GDS-30)进行数据采集。0 - 9分被认为是“正常”,10 - 19分被标记为“轻度抑郁”,20 - 30分被标记为“严重抑郁”。采用IBM SPSS软件进行统计分析。使用卡方检验/Fisher精确检验来研究社会人口学和行为变量与抑郁症之间的关系。结果:患者平均年龄69.33±7.41岁,男女比例为0.55:1。总体抑郁症患病率为52.4%。高龄70岁以上[OR=2.04;95% CI, 1.227 ~ 3.394;P=0.006],女性[OR=2.844;95% CI,1.663-4.865;P =<0.001],缺乏有酬就业[OR=3.504;95% ci, 1.833-6.699;P =<0.001],身体依赖[OR=0.365;95% CI,0.162 ~ 0.821;P =0.012],经济依赖[OR=0.388;95% ci, 0.219-0.687;P =<0.001],存在医疗合并症[OR=0.428;95% ci, 0.212-0.866;P =0.016],生活方式不良,包括缺乏定期运动[OR =2.020;95%置信区间,1.174 - -3.473;P =0.010],酒精成瘾[OR=4.932;95%CI,1.600-15.208;P =0.004]和吸烟成瘾[OR=2.905;95%CI,1.273-6.628;P =0.009]家庭支持差[OR= 5.180;95% CI, 716-15.636;P = 0.002]与抑郁显著相关。结论:老年人抑郁症患病率较高,早期诊断和及时治疗是减轻社区抑郁症负担的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prevalence and correlates of geriatric depression in a rural community in Kerala, India
Background: Elderly constitutes a vulnerable group for depression, as they are especially prone to suffer adverse consequences of a depressive episode and have greater rates of completed suicides. This study aims to estimate the prevalence and determinants of geriatric depression.  Methods: A cross-sectional study was done among 250 elderlies from 1st January 2019 to 1st January 2020 in the different rural blocks of Ernakulam district, India. The multistage sampling technique and the Geriatric Depression Scale (GDS-30) were used to collect the data. A score of 0 9 is considered "normal", 10 19 is labeled as "mildly depressed", and 20 30 as "severely depressed". Statistical analysis was performed using the IBM SPSS software. The Chi-square test /Fisher's exact test was used to study the association between the socio-demographic and behavioral variables with depression. Results: The mean age was 69.33 ± 7.41years and male: female ratio was 0.55: 1.The overall prevalence of depression was 52.4%. Advanced age over 70years [OR=2.04;95% CI, 1.227 – 3.394; P=0.006], female gender[OR=2.844;95% CI,1.663-4.865; P =<0.001], lack of gainful employment [OR=3.504; 95% CI, 1.833–6.699; P =<0.001], physical dependence [OR=0.365;95% CI,0.162–0.821; P =0.012], financial dependence [OR=0.388; 95% CI, 0.219–0.687; P =<0.001], presence of medical co morbidities [OR=0.428; 95% CI, 0.212–0.866; P =0.016],poor lifestyle including the lack of regular exercise [OR =2.020; 95% CI,1.174–3.473; P =0.010], addiction to alcohol [OR=4.932;95%CI,1.600-15.208; P =0.004] and addiction to tobacco smoking [OR=2.905;95%CI,1.273-6.628; P =0.009] and poor family support [OR= 5.180;95% CI,716–15.636; P = 0.002] were found to be significantly associated with depression. Conclusion: The prevalence of depression among the elderlies was high, and hence early diagnosis and prompt treatment are essential to reduce its burden in the community.
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