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Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy

Aging populations, along with low fertility rates, have become a pervasive world-wide problem. To address this challenge, China issued a universal 3-child policy on May 31, 2021. However, little is known regarding the intentions of childbearing-aged Chinese for a third child. The purpose of this stu...

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Autores principales: Yue, Caibin, Zheng, Xiaolei, Shang, Wei, Wang, Ping, Xie, Zhaohong, Luo, Liyan, Xu, Yunyun, Li, Qing, Song, Dandan, Yue, Xinyi, Wang, Xiao, Yuan, Xue, Cao, Yanjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035999/
https://www.ncbi.nlm.nih.gov/pubmed/36961189
http://dx.doi.org/10.1097/MD.0000000000033255
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author Yue, Caibin
Zheng, Xiaolei
Shang, Wei
Wang, Ping
Xie, Zhaohong
Luo, Liyan
Xu, Yunyun
Li, Qing
Song, Dandan
Yue, Xinyi
Wang, Xiao
Yuan, Xue
Cao, Yanjun
author_facet Yue, Caibin
Zheng, Xiaolei
Shang, Wei
Wang, Ping
Xie, Zhaohong
Luo, Liyan
Xu, Yunyun
Li, Qing
Song, Dandan
Yue, Xinyi
Wang, Xiao
Yuan, Xue
Cao, Yanjun
author_sort Yue, Caibin
collection PubMed
description Aging populations, along with low fertility rates, have become a pervasive world-wide problem. To address this challenge, China issued a universal 3-child policy on May 31, 2021. However, little is known regarding the intentions of childbearing-aged Chinese for a third child. The purpose of this study was to assess the fertility intentions of the Chinese as related to this third-child policy and identify risk factors for third-child refusal. In this cross-sectional study, a total of 2129 Chinese childbearing-aged participants were recruited nationwide from June 15 to July 22, 2021. Each participant was interviewed using questionnaires to establish their sociodemographic variables, psychosocial factors as related to third-child intentions, and reasons for third-child refusal. Finally, 2115 responses (866 men and 1249 women) were analyzed. IBM SPSS Statistical Software (version 19) was used for the statistical analyses. Multivariate logistic regression analyses were used to assess independent influences for third-child refusal. Approximately 30% of these participants reported an intention for having a third child. In those expressing a refusal for a third child, women showed a higher prevalence rate (74.1 vs 63.2%, P < .001). Results from multivariate logistic regression analyses revealed that age (P = .033), unemployment (P = .045), and currently raising 2 children (P = .017) were risk factors for third-child refusal among men, while age (P < .001), >15 years of education (P = .017), current smokers (P = .005) and residing in Northern China (P = .035) were risk factors for women. Overall, increased demands upon time and energy (41.5%), as well as economic burdens (41.4%), were the most prevalent reasons for the refusal of a third child, while achieving mutual care among siblings (52.5%) and reducing child educational costs (33.3%) were the most effective persuasions. In response to the 3-child policy, Chinese childbearing-aged adults showed low rates of intention for a third child, with women showing a higher prevalence of third-child refusal. The identification of risk factors and the reasons for third-child refusal as revealed from the results of this study provide a foundation for the development of programs needed to aid in the implementation of this 3-child policy.
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spelling pubmed-100359992023-03-24 Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy Yue, Caibin Zheng, Xiaolei Shang, Wei Wang, Ping Xie, Zhaohong Luo, Liyan Xu, Yunyun Li, Qing Song, Dandan Yue, Xinyi Wang, Xiao Yuan, Xue Cao, Yanjun Medicine (Baltimore) 6500 Aging populations, along with low fertility rates, have become a pervasive world-wide problem. To address this challenge, China issued a universal 3-child policy on May 31, 2021. However, little is known regarding the intentions of childbearing-aged Chinese for a third child. The purpose of this study was to assess the fertility intentions of the Chinese as related to this third-child policy and identify risk factors for third-child refusal. In this cross-sectional study, a total of 2129 Chinese childbearing-aged participants were recruited nationwide from June 15 to July 22, 2021. Each participant was interviewed using questionnaires to establish their sociodemographic variables, psychosocial factors as related to third-child intentions, and reasons for third-child refusal. Finally, 2115 responses (866 men and 1249 women) were analyzed. IBM SPSS Statistical Software (version 19) was used for the statistical analyses. Multivariate logistic regression analyses were used to assess independent influences for third-child refusal. Approximately 30% of these participants reported an intention for having a third child. In those expressing a refusal for a third child, women showed a higher prevalence rate (74.1 vs 63.2%, P < .001). Results from multivariate logistic regression analyses revealed that age (P = .033), unemployment (P = .045), and currently raising 2 children (P = .017) were risk factors for third-child refusal among men, while age (P < .001), >15 years of education (P = .017), current smokers (P = .005) and residing in Northern China (P = .035) were risk factors for women. Overall, increased demands upon time and energy (41.5%), as well as economic burdens (41.4%), were the most prevalent reasons for the refusal of a third child, while achieving mutual care among siblings (52.5%) and reducing child educational costs (33.3%) were the most effective persuasions. In response to the 3-child policy, Chinese childbearing-aged adults showed low rates of intention for a third child, with women showing a higher prevalence of third-child refusal. The identification of risk factors and the reasons for third-child refusal as revealed from the results of this study provide a foundation for the development of programs needed to aid in the implementation of this 3-child policy. Lippincott Williams & Wilkins 2023-03-24 /pmc/articles/PMC10035999/ /pubmed/36961189 http://dx.doi.org/10.1097/MD.0000000000033255 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 6500
Yue, Caibin
Zheng, Xiaolei
Shang, Wei
Wang, Ping
Xie, Zhaohong
Luo, Liyan
Xu, Yunyun
Li, Qing
Song, Dandan
Yue, Xinyi
Wang, Xiao
Yuan, Xue
Cao, Yanjun
Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title_full Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title_fullStr Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title_full_unstemmed Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title_short Assessing intentions for a third child among Chinese adults: A nationwide online survey regarding China’s 3-child policy
title_sort assessing intentions for a third child among chinese adults: a nationwide online survey regarding china’s 3-child policy
topic 6500
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10035999/
https://www.ncbi.nlm.nih.gov/pubmed/36961189
http://dx.doi.org/10.1097/MD.0000000000033255
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