ArticlePloS one2023
Self-rated health among older adults in India: Gender specific findings from National Sample Survey.
Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 20 citations in OpenAlex.
- Cognitive impairment among widowed older adults in India: a decomposition analysis of gender gap.BMC psychology · 2026Article
- Intersectional inequalities in the health-happiness link via HRQoL across sex, age, and education level.Frontiers in public health · 2026Article
- Depression prediction and key factors: A comparative analysis of logistic regression and machine learning models.PloS one · 2026Article
- Prevalence of high-risk for advanced liver fibrosis using non-invasive scores among type 2 diabetes mellitus patients in the United Arab Emirates: a retrospective cross-sectional study.Frontiers in endocrinology · 2026Article
- The association of self-rated health with physical activity and demographic factors: a study in primary care from Northwest of Iran.BMC primary care · 2025Article
- Factors linked to poor self-rated health in thyroid disorder patients: findings from LASI Wave-I.Thyroid research · 2025Article
- Article
- Multimorbidity in India: an analysis of prevalence and patterns of chronicity of diseases among older adults using Study on global AGEing and adult health (SAGE) Wave 2.BMJ public health · 2025Article
- Exploring the Influence of Social Class and Sex on Self-Reported Health: Insights from a Representative Population-Based Study.Life (Basel, Switzerland) · 2024Article
- Prevalence of early and late onset of chronic diseases and multimorbidity and its association with physical, mental and functional health among older Indian adults.BMC geriatrics · 2023Article
- Examining the Association of Pain and Pain Frequency With Self-Reported Difficulty in Activities of Daily Living and Instrumental Activities of Daily Living Among Community-Dwelling Older Adults: Findings From the Longitudinal Aging Study in India.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023Article
- Exploring multimorbidity clusters in relation to healthcare use and its impact on self-rated health among older people in India.PLOS global public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe self-rated health (SRH) is a widely adopted indicator of overall health. The sponge hypothesis suggests that predictive power of SRH is stronger among women compared to men. To gain a better understanding of how gender influences SRH, this study examined whether and what determinants of gender disparity exist current self-rated health (SRHcurrent) and change in SRH (SRHchange) among older adults in Indian setting. MATERIALS AND
methodsWe used cross-sectional data from the 75th National Sample Survey Organizations (NSSO), collected from July 2017 to June 2018. The analytical sample constitutes 42,759 older individuals aged 60 years or older with 21,902 older men and 20,857 older women (eliminating two non-binary individuals). Outcome measures include two variables of poor/worse SRH status (SRHcurrent and SRHchange). We have calculated absolute gaps in the prevalence of poor SRHcurrent and worse SRHchange by background characteristics. We carried out binary logistic regression models to examine the predictors of poor SRHcurrent and worse SRHchange among older adults.
resultsThe overall absolute gender gap in poor SRHcurrent was 3.27% and it was 0.58% in worse SRHchange. Older women had significantly higher odds of poor SRHcurrent [AOR = 1.09; CI = 0.99, 1.19] and worse SRHchange [AOR = 1.09; CI = 1.02, 1.16] compared to older men. Older adults belonging to middle-aged, oldest-old, economically dependent, not working, physically immobile, suffering from chronic diseases, belonging to Muslim religion, and Eastern region have found to have higher odds of poor SRHcurrent and worse SRHchange. Educational attainments showed lower odds of have poor SRHcurrent and worse SRHchange compared to those with no education. Respondents belonging to richest income quintile and those who were not covered by any health insurance, belonging to Schedule caste, OBC, Western and Southern regions are found to have lower odds of poor SRHcurrent and worse SRHchange. Compared to those in the urban residence, respondents from rural residence [AOR = 1.09; CI = 1.02, 1.16] had higher odds of worse SRHchange.
conclusionsSupporting the sponge hypothesis, a clear gender gap was observed in poor current SRH and worse change in SRH among older adults in India with a female disadvantage. We further found lower socioeconomic and health conditions and lack of resources as determinants of poor current SRH and its worse change, which is crucial to address the challenge of the older people's health and their perception of well-being.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.