现有证据表明,与家人和朋友住在一起的土著老年人口可能会由于更好的情感支持和幸福感而经历较少抑郁症状。本研究旨在调查印度部落和非部落老年人群中主要抑郁症患病率的差异,并探讨社会人口统计学的贡献,健康相关,以及这种差距中的家庭因素。
使用印度纵向衰老研究(2017-18)的数据进行了横断面研究。分析样本包括30,637名老年人,其中5025和25612属于预定部落(ST)和非预定部落(非ST)社会团体,分别。通过综合国际诊断访谈简短形式(CIDI-SF)量表评估的重度抑郁症是结果变量。描述性统计,双变量和多变量回归,进行了分解分析。
ST和非ST社会群体中约4.8%和8.9%的老年人患有重度抑郁症。对于部落和非部落群体,未婚的老年人,不满意生活安排,那些面临终生歧视的人患重度抑郁症的风险增加。由于特征(E)而产生的差异的研究结果表明,如果区域差异被最小化,这将使重度抑郁症的ST-非ST差距减少约19.6%。同样,ST组和非ST组之间自我评估的健康状况和慢性病的平等将使重度抑郁症的差距减少近9.6%和7.9%,分别。此外,在老年人中,日常生活工具活动(IADL)和日常生活活动(ADL)的平等地位将使重度抑郁症的差距分别减少约3.8%和3%。此外,由系数(C)引起的差异发现,如果ST组的老年人与非ST组的老年人具有相同的ADL状态,这将使严重抑郁症的差距缩小约11.8%。
研究结果表明,非ST组老年人的重度抑郁症患病率高于ST组。对于部落和非部落群体,未婚的老年人,不满意生活安排,那些面临终生歧视的人患重度抑郁症的风险增加,这些因素以及与健康相关的变量导致了抑郁症的ST-非ST差距。有利于部落人口;建议进一步研究印度土著人口中精神疾病的应对机制。
Existing evidence suggests that the indigenous older population who live with their families and friends might experience lesser depressive symptoms due to better emotional support and well-being. The present study aimed to investigate the differentials in the prevalence of the major depressive disorder among tribal and non-tribal older populations in India and to explore the contribution of socio-demographic, health-related, and household factors in such disparities.
A cross-sectional study was conducted using data from the Longitudinal Aging Study in India (2017-18). The analytical sample included 30,637 older adults, among whom 5,025 and 25,612 belonged to the Scheduled Tribe (ST) and non-Scheduled Tribe (non-ST) social groups, respectively. Major depressive disorder assessed by the Composite International Diagnostic Interview short-form (CIDI-SF) scale was the outcome variable. Descriptive statistics, bivariate and multivariable regression and, decomposition analyses were conducted.
About 4.8% and 8.9% of older adults from the ST and non-ST social groups had major depression. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression. Findings from differences due to characteristics (E) revealed that if the regional differences were minimized, it would decrease the ST-non-ST gap in major depression by about 19.6%. Similarly, equal self-rated health status and chronic conditions among ST and non-ST groups would decrease the gap in major depression by almost 9.6% and 7.9%, respectively. Additionally, an equal status of Instrumental Activities of Daily Living (IADL) and Activities of Daily Living (ADL) among older adults would decrease the gap in major depression by about 3.8% and 3% respectively. Also, findings from differences due to coefficients (C) revealed that if older adults from the ST group had the same status of ADL as of older adults from the non-ST group, it would decrease the gap in major depression by about 11.8%.
The findings revealed a greater prevalence of major depression in older adults belonging to the non-ST group than the ST group. For both tribal and non-tribal groups, older adults who were unmarried, dissatisfied with living arrangements, and those who faced lifetime discrimination were at increased risk of major depression and these factors along with health-related variables contributed to significant ST-non-ST gap in depression, advantageous to tribal population; suggesting further research on the coping mechanisms of mental illnesses among indigenous population in India.