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SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA
Determinants of mortality may differ depending on context. This study uses a nationally representative sample of persons aged 60 and over in China to determine if socioeconomic factors, early life conditions, community characteristics, biological and physical functioning, and disease burden predict...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845841/ http://dx.doi.org/10.1093/geroni/igz038.2245 |
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author | Zhang, Yuan Strauss, John A Hu, Peifeng Zhao, yaohui Crimmins, Eileen M |
author_facet | Zhang, Yuan Strauss, John A Hu, Peifeng Zhao, yaohui Crimmins, Eileen M |
author_sort | Zhang, Yuan |
collection | PubMed |
description | Determinants of mortality may differ depending on context. This study uses a nationally representative sample of persons aged 60 and over in China to determine if socioeconomic factors, early life conditions, community characteristics, biological and physical functioning, and disease burden predict four-year all-cause mortality. We employed a series of Weibull hazard models based on exact survival time to predict mortality. We find that current education and place of residence, physical functioning, uncontrolled hypertension, diabetes, cancer, a high level of systemic inflammation, and poor kidney functioning are strong predictors of mortality among older Chinese. We did not find linkages between early-life experiences or community infrastructure to mortality at older ages. Results from this study highlight the value of incorporating biological and performance measurements and the importance of social and historical context in studying old-age mortality. |
format | Online Article Text |
id | pubmed-6845841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-68458412019-11-18 SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA Zhang, Yuan Strauss, John A Hu, Peifeng Zhao, yaohui Crimmins, Eileen M Innov Aging Session 3145 (Symposium) Determinants of mortality may differ depending on context. This study uses a nationally representative sample of persons aged 60 and over in China to determine if socioeconomic factors, early life conditions, community characteristics, biological and physical functioning, and disease burden predict four-year all-cause mortality. We employed a series of Weibull hazard models based on exact survival time to predict mortality. We find that current education and place of residence, physical functioning, uncontrolled hypertension, diabetes, cancer, a high level of systemic inflammation, and poor kidney functioning are strong predictors of mortality among older Chinese. We did not find linkages between early-life experiences or community infrastructure to mortality at older ages. Results from this study highlight the value of incorporating biological and performance measurements and the importance of social and historical context in studying old-age mortality. Oxford University Press 2019-11-08 /pmc/articles/PMC6845841/ http://dx.doi.org/10.1093/geroni/igz038.2245 Text en © The Author(s) 2019. 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 | Session 3145 (Symposium) Zhang, Yuan Strauss, John A Hu, Peifeng Zhao, yaohui Crimmins, Eileen M SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title | SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title_full | SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title_fullStr | SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title_full_unstemmed | SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title_short | SOCIOECONOMIC, BIOLOGICAL, AND COMMUNITY ASSOCIATIONS WITH OLD-AGE MORTALITY IN CHINA |
title_sort | socioeconomic, biological, and community associations with old-age mortality in china |
topic | Session 3145 (Symposium) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6845841/ http://dx.doi.org/10.1093/geroni/igz038.2245 |
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