Scholarlink

<p>Everyday discrimination (ED) has adverse effects on health and well-being. This study highlights understudied trends in the distribution, correlates, and geographic variation of ED among Indian adults aged 45 and above. The analysis of 61,722 participants in the Longitudinal Ageing Study in India (2017-18) revealed significant state/union territory (UT)-level variation. While Nagaland, Tripura, Mizoram, and Lakshadweep had comparatively lower ED scores than the national average, Jammu and Kashmir, Delhi, Chhattisgarh, and Karnataka had higher scores. Additionally, using multilevel negative binomial regression, we found that men, non-married adults, migrant residents, and adults in rural areas had higher ED rates. In general, with increases in education level and household monthly per capita income, there was a reduction in ED rates. Notably, adults with a functional disability (Incident Rate Ratio (IRR) = 1.43 [95% confidence interval: 1.32, 1.55]) and physical or mental impairment (IRR = 2.15 [1.88, 2.45]) had significantly higher ED rates than those without. We also partitioned the geographic variation in ED and found that more geographic variance was explained by the community&#xa0;(village/ward) level than by the state/UT level, accounting for roughly 60% and 40% of the variation across models, respectively. Our findings suggest that community-based contextual factors necessitate further research.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Everyday discrimination among middle-aged and older adults in India: a multilevel cross-sectional analysis from the Longitudinal Ageing Study in India

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年2月14日

查看全文
  • Ravi Sadhu,
  • Soohyeon Ko,
  • S. V. Subramanian,
  • Rockli Kim

摘要

Everyday discrimination (ED) has adverse effects on health and well-being. This study highlights understudied trends in the distribution, correlates, and geographic variation of ED among Indian adults aged 45 and above. The analysis of 61,722 participants in the Longitudinal Ageing Study in India (2017-18) revealed significant state/union territory (UT)-level variation. While Nagaland, Tripura, Mizoram, and Lakshadweep had comparatively lower ED scores than the national average, Jammu and Kashmir, Delhi, Chhattisgarh, and Karnataka had higher scores. Additionally, using multilevel negative binomial regression, we found that men, non-married adults, migrant residents, and adults in rural areas had higher ED rates. In general, with increases in education level and household monthly per capita income, there was a reduction in ED rates. Notably, adults with a functional disability (Incident Rate Ratio (IRR) = 1.43 [95% confidence interval: 1.32, 1.55]) and physical or mental impairment (IRR = 2.15 [1.88, 2.45]) had significantly higher ED rates than those without. We also partitioned the geographic variation in ED and found that more geographic variance was explained by the community (village/ward) level than by the state/UT level, accounting for roughly 60% and 40% of the variation across models, respectively. Our findings suggest that community-based contextual factors necessitate further research.