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<p>Globally, geriatric depression is a significant health issue that impacts a large number of Elderly Population. The 2011 Census revealed that, out of 103&#xa0;million individuals, the older adults made up 8.6% of India’s overall population. India’s older adult population is growing on the one hand, but the country is also seeing an increase in the number of older persons living alone. Poor living arrangements, however, may put older people at higher risk for depression in their later life. Thus, the purpose of this study is to investigate depression symptoms in older adults based on their living arrangements and other background factors.&#xa0;We used data from the 2017–18 Longitudinal Ageing Study in India (LASI) wave one. Only those 60 years of age and beyond are included in our study, as later life (60 year and above) depression is typically more prevalent. The effective sample size for the present study was 30,389 older adults. Binary logistic regression analysis was performed to examine the relationship between the outcome’s depressive symptoms and living arrangements and other associated factors.&#xa0;According to the study, 21.70% of the older persons (60 years and above) reported having depressive symptoms. Around 1568 sample of older adults are living alone on which 460 (29.34%) elderly were depressed. Results found that elderly population living with spouses and children had lower odds (OR = 0.583; 95%C.I.=0.487–0.697) less likely to report depressive symptoms. The elderly persons, who is living alone had a 41.7% higher likelihood of being depressed.&#xa0;Cultural misconceptions, inaccurate memory recall, and answer biases can result from the subjective nature of CES-D assessments. Cross sectional nature of data also has serious drawbacks. One of these is the inability to prove causation because measuring variables at the same time obscures the direction of relationships.&#xa0;The general conclusion of the findings is that the socioeconomic factors and living arrangements of the older population in India have a substantial impact on their development of depression. It is important to pay close attention to the significant risk of depressive symptoms among older adults living alone.</p>

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Depressive symptoms among the elderly in India: Examining the role of living arrangements using LASI wave 1 data

  • 期刊论文

  • 发表日期：

    2025年7月25日

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  • Md Mohsin,
  • Syed Naushad Ahmad

摘要

Globally, geriatric depression is a significant health issue that impacts a large number of Elderly Population. The 2011 Census revealed that, out of 103 million individuals, the older adults made up 8.6% of India’s overall population. India’s older adult population is growing on the one hand, but the country is also seeing an increase in the number of older persons living alone. Poor living arrangements, however, may put older people at higher risk for depression in their later life. Thus, the purpose of this study is to investigate depression symptoms in older adults based on their living arrangements and other background factors. We used data from the 2017–18 Longitudinal Ageing Study in India (LASI) wave one. Only those 60 years of age and beyond are included in our study, as later life (60 year and above) depression is typically more prevalent. The effective sample size for the present study was 30,389 older adults. Binary logistic regression analysis was performed to examine the relationship between the outcome’s depressive symptoms and living arrangements and other associated factors. According to the study, 21.70% of the older persons (60 years and above) reported having depressive symptoms. Around 1568 sample of older adults are living alone on which 460 (29.34%) elderly were depressed. Results found that elderly population living with spouses and children had lower odds (OR = 0.583; 95%C.I.=0.487–0.697) less likely to report depressive symptoms. The elderly persons, who is living alone had a 41.7% higher likelihood of being depressed. Cultural misconceptions, inaccurate memory recall, and answer biases can result from the subjective nature of CES-D assessments. Cross sectional nature of data also has serious drawbacks. One of these is the inability to prove causation because measuring variables at the same time obscures the direction of relationships. The general conclusion of the findings is that the socioeconomic factors and living arrangements of the older population in India have a substantial impact on their development of depression. It is important to pay close attention to the significant risk of depressive symptoms among older adults living alone.