Cargando…

Population mental health matters child health disparity: a national level analysis

BACKGROUND: The association between social distress and child health is important and attracts research interest. This study aims to examine the trend of inequality in the mortality rate for children under five (U5MR) over time and decompose the population mental health (PMH)-gradient in U5MR into d...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Yao, Cui, Yujie, Zhang, Yanfeng, Li, Heng, Zeng, Wu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759864/
https://www.ncbi.nlm.nih.gov/pubmed/36528613
http://dx.doi.org/10.1186/s12889-022-14530-w
_version_ 1784852327615692800
author Yao, Yao
Cui, Yujie
Zhang, Yanfeng
Li, Heng
Zeng, Wu
author_facet Yao, Yao
Cui, Yujie
Zhang, Yanfeng
Li, Heng
Zeng, Wu
author_sort Yao, Yao
collection PubMed
description BACKGROUND: The association between social distress and child health is important and attracts research interest. This study aims to examine the trend of inequality in the mortality rate for children under five (U5MR) over time and decompose the population mental health (PMH)-gradient in U5MR into different drivers at the national level. METHODS: Data from 1990 to 2019 on the U5MR, PMH, and potential risk factors, such as socioeconomic status, environmental exposures at the national level, health behavior, basic water and sanitation services, urbanization, healthcare level, and HIV prevalence, were collected from online databases. We described the trend of U5MR and broke down U5MR based on the countries’ risk factor status and PMH. We constructed regression models and decomposed the drivers of change in U5MR disparity based on PMH-gradient. RESULTS: The difference in U5MR between countries with different levels of air pollution and income status was narrowed since 1990 for the high PMH groups. Countries with a higher level of PMH had less significant differences in U5MR between low- and middle-income groups than those with a lower level of PMH. The development of PMH-related gradient in child health is not consistent thoroughly. Before 2000, boys experienced a sharper decline in PMH-related gradient in health than girls did. The decomposition shows that the changes in PMH-gradient in child health were mainly caused by changes in the return to risk factors. The mental health of female population matters more in child health outcomes. CONCLUSION: Although the U5MR converges across countries, the reason varies. The PMH gradient in child mortality is mainly explained by the change in the return to risk factors. The PMH-gradient health disparity in boys is larger than that in girls in 2019, which indicates that boys’ health may be more vulnerable to the development of PMH recently. The findings remind us that we need to pay attention to the hidden reasons for the growth of disparity. It also suggests that improving PMH has a great impact on reducing PMH-related health disparity, especially for boys. Our research contributes to the understanding of the transition of PMH-related health disparity in U5MR and provides policy implications for reducing gender disparity in child health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14530-w.
format Online
Article
Text
id pubmed-9759864
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-97598642022-12-19 Population mental health matters child health disparity: a national level analysis Yao, Yao Cui, Yujie Zhang, Yanfeng Li, Heng Zeng, Wu BMC Public Health Research BACKGROUND: The association between social distress and child health is important and attracts research interest. This study aims to examine the trend of inequality in the mortality rate for children under five (U5MR) over time and decompose the population mental health (PMH)-gradient in U5MR into different drivers at the national level. METHODS: Data from 1990 to 2019 on the U5MR, PMH, and potential risk factors, such as socioeconomic status, environmental exposures at the national level, health behavior, basic water and sanitation services, urbanization, healthcare level, and HIV prevalence, were collected from online databases. We described the trend of U5MR and broke down U5MR based on the countries’ risk factor status and PMH. We constructed regression models and decomposed the drivers of change in U5MR disparity based on PMH-gradient. RESULTS: The difference in U5MR between countries with different levels of air pollution and income status was narrowed since 1990 for the high PMH groups. Countries with a higher level of PMH had less significant differences in U5MR between low- and middle-income groups than those with a lower level of PMH. The development of PMH-related gradient in child health is not consistent thoroughly. Before 2000, boys experienced a sharper decline in PMH-related gradient in health than girls did. The decomposition shows that the changes in PMH-gradient in child health were mainly caused by changes in the return to risk factors. The mental health of female population matters more in child health outcomes. CONCLUSION: Although the U5MR converges across countries, the reason varies. The PMH gradient in child mortality is mainly explained by the change in the return to risk factors. The PMH-gradient health disparity in boys is larger than that in girls in 2019, which indicates that boys’ health may be more vulnerable to the development of PMH recently. The findings remind us that we need to pay attention to the hidden reasons for the growth of disparity. It also suggests that improving PMH has a great impact on reducing PMH-related health disparity, especially for boys. Our research contributes to the understanding of the transition of PMH-related health disparity in U5MR and provides policy implications for reducing gender disparity in child health. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-022-14530-w. BioMed Central 2022-12-17 /pmc/articles/PMC9759864/ /pubmed/36528613 http://dx.doi.org/10.1186/s12889-022-14530-w 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
Yao, Yao
Cui, Yujie
Zhang, Yanfeng
Li, Heng
Zeng, Wu
Population mental health matters child health disparity: a national level analysis
title Population mental health matters child health disparity: a national level analysis
title_full Population mental health matters child health disparity: a national level analysis
title_fullStr Population mental health matters child health disparity: a national level analysis
title_full_unstemmed Population mental health matters child health disparity: a national level analysis
title_short Population mental health matters child health disparity: a national level analysis
title_sort population mental health matters child health disparity: a national level analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9759864/
https://www.ncbi.nlm.nih.gov/pubmed/36528613
http://dx.doi.org/10.1186/s12889-022-14530-w
work_keys_str_mv AT yaoyao populationmentalhealthmatterschildhealthdisparityanationallevelanalysis
AT cuiyujie populationmentalhealthmatterschildhealthdisparityanationallevelanalysis
AT zhangyanfeng populationmentalhealthmatterschildhealthdisparityanationallevelanalysis
AT liheng populationmentalhealthmatterschildhealthdisparityanationallevelanalysis
AT zengwu populationmentalhealthmatterschildhealthdisparityanationallevelanalysis