ArticleJournal of clinical hypertension (Greenwich, Conn.)2022
Validity of self-reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Cognitive impairment and reporting of hypertension among adults in india: Evidence from a population-based study.PLOS mental health · 2025Article
- Agreement between self-reported and objectively measured hypertension diagnosis and control: evidence from a nationally representative sample of community-dwelling middle-aged and older adults in China.Archives of public health = Archives belges de sante publique · 2024Article
- Comparing socio-economic inequalities in self-reported and undiagnosed hypertension among adults 45 years and over in India: what explains these inequalities?International journal for equity in health · 2023Article
- Validity of self-reported hypertension and related factors in the adult population: Preliminary results from the cohort in the west of Iran.Journal of clinical hypertension (Greenwich, Conn.) · 2023Article
- Validity of self-reported hypertension in India: Evidence from nationally representative survey of adult population over 45 years.Journal of clinical hypertension (Greenwich, Conn.) · 2022Article
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Authors and funding
4 authors.
Funding
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Abstract
Self-reported measures of health, in the context of developed countries, are well-researched and commonly regarded as reliable predictors of the underlying health of the population. However, the validity of these measures is under-researched and questionable in the context of low- and middle-income countries. The authors used Longitudinal Ageing Study in India (LASI) survey data from India to compare self-reported hypertension with biometrically-measured hypertension. The results are reported in terms of sensitivity, specificity, and kappa as a measure of agreement. Logistic regression was undertaken to examine the characteristics of those who were unaware of their hypertensive status. Our analysis showed a low sensitivity of 56% and a high specificity of 90.5%. Agreement between self-reported data and biometric measurement of hypertension was observed to be moderate (κ = 0.48). Large variations were observed among states and sub-groups. The odds of false negative reporting of hypertension were lower in the individuals with higher age, high education, and greater wealth status. The authors conclude that self-reported hypertension has important limitations and may be a source of systematic bias. It is recommended that planning and policy-making in India be based more on an objective assessment of hypertension.
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