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Gender Inequality and Late-Life Cognition

Indian women’s disadvantage in cognition has been documented in several studies, additionally noting geographic variations. The gender gap in late-life cognition could be a manifestation of gender discrimination. Using national data from LASI-DAD together with information drawn from administrative d...

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Detalles Bibliográficos
Autores principales: Lee, Jinkook, Angrisani, Marco, Jain, Urvashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742826/
http://dx.doi.org/10.1093/geroni/igaa057.2278
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author Lee, Jinkook
Angrisani, Marco
Jain, Urvashi
author_facet Lee, Jinkook
Angrisani, Marco
Jain, Urvashi
author_sort Lee, Jinkook
collection PubMed
description Indian women’s disadvantage in cognition has been documented in several studies, additionally noting geographic variations. The gender gap in late-life cognition could be a manifestation of gender discrimination. Using national data from LASI-DAD together with information drawn from administrative data, we construct a state-level composite index of gender inequality, following the UNDP definition. We investigate and find strong evidence that cross-state differences in gender inequality are significantly associated with the gender gap in cognition. Women in the most discriminating state (Bihar) perform significantly worse than men (-0.21 s.d.), after controlling for key risk factors such as age and education. The gender gap in the least discriminating state (Kerala) is much smaller (-0.10 s.d.). We also find that gender inequality is strongly associated with education, early marriage, labor force participation, and social activities. This has important implications for public health policy aimed at reducing the risk of cognitive impairment and dementia.
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spelling pubmed-77428262020-12-21 Gender Inequality and Late-Life Cognition Lee, Jinkook Angrisani, Marco Jain, Urvashi Innov Aging Abstracts Indian women’s disadvantage in cognition has been documented in several studies, additionally noting geographic variations. The gender gap in late-life cognition could be a manifestation of gender discrimination. Using national data from LASI-DAD together with information drawn from administrative data, we construct a state-level composite index of gender inequality, following the UNDP definition. We investigate and find strong evidence that cross-state differences in gender inequality are significantly associated with the gender gap in cognition. Women in the most discriminating state (Bihar) perform significantly worse than men (-0.21 s.d.), after controlling for key risk factors such as age and education. The gender gap in the least discriminating state (Kerala) is much smaller (-0.10 s.d.). We also find that gender inequality is strongly associated with education, early marriage, labor force participation, and social activities. This has important implications for public health policy aimed at reducing the risk of cognitive impairment and dementia. Oxford University Press 2020-12-16 /pmc/articles/PMC7742826/ http://dx.doi.org/10.1093/geroni/igaa057.2278 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Lee, Jinkook
Angrisani, Marco
Jain, Urvashi
Gender Inequality and Late-Life Cognition
title Gender Inequality and Late-Life Cognition
title_full Gender Inequality and Late-Life Cognition
title_fullStr Gender Inequality and Late-Life Cognition
title_full_unstemmed Gender Inequality and Late-Life Cognition
title_short Gender Inequality and Late-Life Cognition
title_sort gender inequality and late-life cognition
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7742826/
http://dx.doi.org/10.1093/geroni/igaa057.2278
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