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Global trends in total fertility rate and its relation to national wealth, life expectancy and female education

OBJECTIVES: Along with the development of the times and progress of the society, the total fertility rate (TFR) markedly changed in each country. Therefore, it is critical to describe the trend of TFR and explore its influencing factors. However, previous studies did not consider the time lag and cu...

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Autores principales: Cheng, Haoyue, Luo, Wenliang, Si, Shuting, Xin, Xing, Peng, Zhicheng, Zhou, Haibo, Liu, Hui, Yu, Yunxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284852/
https://www.ncbi.nlm.nih.gov/pubmed/35836246
http://dx.doi.org/10.1186/s12889-022-13656-1
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author Cheng, Haoyue
Luo, Wenliang
Si, Shuting
Xin, Xing
Peng, Zhicheng
Zhou, Haibo
Liu, Hui
Yu, Yunxian
author_facet Cheng, Haoyue
Luo, Wenliang
Si, Shuting
Xin, Xing
Peng, Zhicheng
Zhou, Haibo
Liu, Hui
Yu, Yunxian
author_sort Cheng, Haoyue
collection PubMed
description OBJECTIVES: Along with the development of the times and progress of the society, the total fertility rate (TFR) markedly changed in each country. Therefore, it is critical to describe the trend of TFR and explore its influencing factors. However, previous studies did not consider the time lag and cumulative effect in the associations between the influencing factors and TFR. Thus, our study aimed to analyze the associations from a new dimension. METHODS: The study was employed using national-level data from the World Bank and United Nations Development Programme. Distributed lag non-linear models with 5-year lag were used to examine the independent associations between the relevant factors and TFR. RESULTS: The cumulative exposure-TFR curves were inverted U-shaped for log gross domestic product (GDP) per capita and life expectancy at birth, while the cumulative exposure-response curves were approximately linear for female expected years of schooling and human development index (HDI). However, it is worth noting that in the developed regions, TFR increased slightly with the high level of GDP per capita, female expected years of schooling and HDI. CONCLUSIONS: Nowadays, with the growth of GDP per capita, life expectancy at birth, female expected years of schooling and HDI, TFR are on a drastic downward trend in most regions. Besides, with the development of society, when levels of the factors continued to increase, TFR also showed a slight rebound. Therefore, governments, especially those in developing countries, should take measures to stimulate fertility and deal with a series of problems caused by declining TFR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13656-1.
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spelling pubmed-92848522022-07-16 Global trends in total fertility rate and its relation to national wealth, life expectancy and female education Cheng, Haoyue Luo, Wenliang Si, Shuting Xin, Xing Peng, Zhicheng Zhou, Haibo Liu, Hui Yu, Yunxian BMC Public Health Research OBJECTIVES: Along with the development of the times and progress of the society, the total fertility rate (TFR) markedly changed in each country. Therefore, it is critical to describe the trend of TFR and explore its influencing factors. However, previous studies did not consider the time lag and cumulative effect in the associations between the influencing factors and TFR. Thus, our study aimed to analyze the associations from a new dimension. METHODS: The study was employed using national-level data from the World Bank and United Nations Development Programme. Distributed lag non-linear models with 5-year lag were used to examine the independent associations between the relevant factors and TFR. RESULTS: The cumulative exposure-TFR curves were inverted U-shaped for log gross domestic product (GDP) per capita and life expectancy at birth, while the cumulative exposure-response curves were approximately linear for female expected years of schooling and human development index (HDI). However, it is worth noting that in the developed regions, TFR increased slightly with the high level of GDP per capita, female expected years of schooling and HDI. CONCLUSIONS: Nowadays, with the growth of GDP per capita, life expectancy at birth, female expected years of schooling and HDI, TFR are on a drastic downward trend in most regions. Besides, with the development of society, when levels of the factors continued to increase, TFR also showed a slight rebound. Therefore, governments, especially those in developing countries, should take measures to stimulate fertility and deal with a series of problems caused by declining TFR. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-13656-1. BioMed Central 2022-07-14 /pmc/articles/PMC9284852/ /pubmed/35836246 http://dx.doi.org/10.1186/s12889-022-13656-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Cheng, Haoyue
Luo, Wenliang
Si, Shuting
Xin, Xing
Peng, Zhicheng
Zhou, Haibo
Liu, Hui
Yu, Yunxian
Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title_full Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title_fullStr Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title_full_unstemmed Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title_short Global trends in total fertility rate and its relation to national wealth, life expectancy and female education
title_sort global trends in total fertility rate and its relation to national wealth, life expectancy and female education
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9284852/
https://www.ncbi.nlm.nih.gov/pubmed/35836246
http://dx.doi.org/10.1186/s12889-022-13656-1
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