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Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study

BACKGROUND: Multimorbidity has become an important public health problem in China, especially among middle-aged and elderly women. Few studies have been reported on the association between multimorbidity and female fertility, which is an important stage in the life course. This study aimed to explor...

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Autores principales: Chen, Mingjun, Guo, Jianhui, Lin, Yawen, Xu, Jialiang, Hu, Yuduan, Yang, Le, Xu, Xingyan, Zhu, Li, Zhou, Jungu, Zhang, Zhiyu, Li, Huangyuan, Lin, Shaowei, Wu, Siying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986627/
https://www.ncbi.nlm.nih.gov/pubmed/36891346
http://dx.doi.org/10.3389/fpubh.2023.1090549
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author Chen, Mingjun
Guo, Jianhui
Lin, Yawen
Xu, Jialiang
Hu, Yuduan
Yang, Le
Xu, Xingyan
Zhu, Li
Zhou, Jungu
Zhang, Zhiyu
Li, Huangyuan
Lin, Shaowei
Wu, Siying
author_facet Chen, Mingjun
Guo, Jianhui
Lin, Yawen
Xu, Jialiang
Hu, Yuduan
Yang, Le
Xu, Xingyan
Zhu, Li
Zhou, Jungu
Zhang, Zhiyu
Li, Huangyuan
Lin, Shaowei
Wu, Siying
author_sort Chen, Mingjun
collection PubMed
description BACKGROUND: Multimorbidity has become an important public health problem in China, especially among middle-aged and elderly women. Few studies have been reported on the association between multimorbidity and female fertility, which is an important stage in the life course. This study aimed to explore the association between multimorbidity and fertility history among middle-aged and elderly women in China. METHODS: Data from 10,182 middle-aged and elderly female participants in the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were used in this study. Multimorbidity was defined as the presence of at least two or more chronic conditions. Logistic regression analysis, negative binomial regression analysis, and restrictive cubic splines (RCSs) were used to analyze the relationship between female fertility history and multimorbidity or the number of chronic conditions. Multivariable linear regression was used to analyze the relationship between female fertility history and multimorbidity pattern factor scores. RESULTS: The results of this study showed that high parity and early childbearing were significantly associated with an increased risk of multimorbidity and an increased number of chronic conditions among middle-aged and elderly women in China. Late childbearing was significantly associated with reduced risk of multimorbidity and lessened diseases. Parity and age of first childbirth were significantly correlated with the odds of multimorbidity. The association between fertility history and multimorbidity was found to be influenced by age and urban–rural dual structure. Women with high parity tend to have higher factor scores of cardiac-metabolic, visceral-arthritic, and respiratory-psychiatric patterns. Women with early childbearing tended to have higher factor scores of the visceral-arthritic pattern and those with late childbearing tended to have lower factor scores of the cardiac-metabolic pattern. CONCLUSION: Fertility history has a significant effect on multimorbidity in the middle and later lives of Chinese women. This study is of great importance for reducing the prevalence of multimorbidity among Chinese women through their life course and promoting health during their middle and later lives.
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spelling pubmed-99866272023-03-07 Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study Chen, Mingjun Guo, Jianhui Lin, Yawen Xu, Jialiang Hu, Yuduan Yang, Le Xu, Xingyan Zhu, Li Zhou, Jungu Zhang, Zhiyu Li, Huangyuan Lin, Shaowei Wu, Siying Front Public Health Public Health BACKGROUND: Multimorbidity has become an important public health problem in China, especially among middle-aged and elderly women. Few studies have been reported on the association between multimorbidity and female fertility, which is an important stage in the life course. This study aimed to explore the association between multimorbidity and fertility history among middle-aged and elderly women in China. METHODS: Data from 10,182 middle-aged and elderly female participants in the China Health and Retirement Longitudinal Study (CHARLS) in 2018 were used in this study. Multimorbidity was defined as the presence of at least two or more chronic conditions. Logistic regression analysis, negative binomial regression analysis, and restrictive cubic splines (RCSs) were used to analyze the relationship between female fertility history and multimorbidity or the number of chronic conditions. Multivariable linear regression was used to analyze the relationship between female fertility history and multimorbidity pattern factor scores. RESULTS: The results of this study showed that high parity and early childbearing were significantly associated with an increased risk of multimorbidity and an increased number of chronic conditions among middle-aged and elderly women in China. Late childbearing was significantly associated with reduced risk of multimorbidity and lessened diseases. Parity and age of first childbirth were significantly correlated with the odds of multimorbidity. The association between fertility history and multimorbidity was found to be influenced by age and urban–rural dual structure. Women with high parity tend to have higher factor scores of cardiac-metabolic, visceral-arthritic, and respiratory-psychiatric patterns. Women with early childbearing tended to have higher factor scores of the visceral-arthritic pattern and those with late childbearing tended to have lower factor scores of the cardiac-metabolic pattern. CONCLUSION: Fertility history has a significant effect on multimorbidity in the middle and later lives of Chinese women. This study is of great importance for reducing the prevalence of multimorbidity among Chinese women through their life course and promoting health during their middle and later lives. Frontiers Media S.A. 2023-02-20 /pmc/articles/PMC9986627/ /pubmed/36891346 http://dx.doi.org/10.3389/fpubh.2023.1090549 Text en Copyright © 2023 Chen, Guo, Lin, Xu, Hu, Yang, Xu, Zhu, Zhou, Zhang, Li, Lin and Wu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Chen, Mingjun
Guo, Jianhui
Lin, Yawen
Xu, Jialiang
Hu, Yuduan
Yang, Le
Xu, Xingyan
Zhu, Li
Zhou, Jungu
Zhang, Zhiyu
Li, Huangyuan
Lin, Shaowei
Wu, Siying
Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title_full Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title_fullStr Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title_full_unstemmed Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title_short Life-course fertility and multimorbidity among middle-aged and elderly women in China: Evidence from China health and retirement longitudinal study
title_sort life-course fertility and multimorbidity among middle-aged and elderly women in china: evidence from china health and retirement longitudinal study
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986627/
https://www.ncbi.nlm.nih.gov/pubmed/36891346
http://dx.doi.org/10.3389/fpubh.2023.1090549
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