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Distribution of self-reported health in India: The role of income and geography

An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 ‘homogeneous regions’ within the country, after controlling fo...

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Detalles Bibliográficos
Autores principales: Patnaik, Ila, Sane, Renuka, Shah, Ajay, Subramanian, S. V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882784/
https://www.ncbi.nlm.nih.gov/pubmed/36706087
http://dx.doi.org/10.1371/journal.pone.0279999
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author Patnaik, Ila
Sane, Renuka
Shah, Ajay
Subramanian, S. V.
author_facet Patnaik, Ila
Sane, Renuka
Shah, Ajay
Subramanian, S. V.
author_sort Patnaik, Ila
collection PubMed
description An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 ‘homogeneous regions’ within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health.
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spelling pubmed-98827842023-01-28 Distribution of self-reported health in India: The role of income and geography Patnaik, Ila Sane, Renuka Shah, Ajay Subramanian, S. V. PLoS One Research Article An important new large-scale survey database is brought to bear on measuring and analysing self-reported health in India. The most important correlates are age, income and location. There is substantial variation of health across the 102 ‘homogeneous regions’ within the country, after controlling for household and individual characteristics. Higher income is correlated with better health in only 40% of India. We create novel maps showing regions with poor health, that is attributable to the location, that diverge from the conventional wisdom. These results suggest the need for epidemiological studies in the hotspots of ill-health and in regions where higher income does not correlate with improved health. Public Library of Science 2023-01-27 /pmc/articles/PMC9882784/ /pubmed/36706087 http://dx.doi.org/10.1371/journal.pone.0279999 Text en © 2023 Patnaik et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Patnaik, Ila
Sane, Renuka
Shah, Ajay
Subramanian, S. V.
Distribution of self-reported health in India: The role of income and geography
title Distribution of self-reported health in India: The role of income and geography
title_full Distribution of self-reported health in India: The role of income and geography
title_fullStr Distribution of self-reported health in India: The role of income and geography
title_full_unstemmed Distribution of self-reported health in India: The role of income and geography
title_short Distribution of self-reported health in India: The role of income and geography
title_sort distribution of self-reported health in india: the role of income and geography
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9882784/
https://www.ncbi.nlm.nih.gov/pubmed/36706087
http://dx.doi.org/10.1371/journal.pone.0279999
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