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Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis

BACKGROUND: Previous studies about inequality in children’s health focused more on physical health than the neurodevelopment. In this study, we aimed to evaluate the inequality in early childhood neurodevelopment in poor rural China and explore the contributions of socioeconomic factors to the inequ...

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Autores principales: Zhang, Cuihong, Zhao, Chunxia, Liu, Xiangyu, Wei, Qianwei, Luo, Shusheng, Guo, Sufang, Zhang, Jingxu, Wang, Xiaoli, Scherpbier, Robert W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723085/
https://www.ncbi.nlm.nih.gov/pubmed/29221451
http://dx.doi.org/10.1186/s12939-017-0691-y
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author Zhang, Cuihong
Zhao, Chunxia
Liu, Xiangyu
Wei, Qianwei
Luo, Shusheng
Guo, Sufang
Zhang, Jingxu
Wang, Xiaoli
Scherpbier, Robert W.
author_facet Zhang, Cuihong
Zhao, Chunxia
Liu, Xiangyu
Wei, Qianwei
Luo, Shusheng
Guo, Sufang
Zhang, Jingxu
Wang, Xiaoli
Scherpbier, Robert W.
author_sort Zhang, Cuihong
collection PubMed
description BACKGROUND: Previous studies about inequality in children’s health focused more on physical health than the neurodevelopment. In this study, we aimed to evaluate the inequality in early childhood neurodevelopment in poor rural China and explore the contributions of socioeconomic factors to the inequality. METHOD: Information of 2120 children aged 0 to 35 months and their households in six poor rural counties of China was collected during July – September, 2013. Age and Stages Questionnaire-Chinese version, concentration index and decomposition analysis were used to assess the neurodevelopment of early childhood, measure its inequality and evaluate the contributions of socioeconomic factors to the inequality, respectively. RESULT: The prevalence of suspected developmental delay in children under 35 months of age in six poor rural counties of China was nearly 40%, with the concentration index of −0.0877. Household economic status, caregivers’ depressive symptoms, learning material and family support for learning were significantly associated with children’s suspected developmental delay, and explained 34.1, 14.1, 8.9 and 7.0% of the inequality in early childhood neurodevelopment, respectively. CONCLUSION: The early childhood neurodevelopment in the surveyed area is poor and unfair. Factors including household economic status, caregivers’ depressive symptoms, learning material and family support for learning are significantly associated with children’s suspected developmental delay and early developmental inequality. The results highlight the urgent need of monitoring child neurodevelopment in poor rural areas. Interventions targeting the caregivers’ depressive symptoms, providing learning material and developmental appropriate stimulating activities may help improve early childhood neurodevelopment and reduce its inequality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0691-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-57230852017-12-12 Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis Zhang, Cuihong Zhao, Chunxia Liu, Xiangyu Wei, Qianwei Luo, Shusheng Guo, Sufang Zhang, Jingxu Wang, Xiaoli Scherpbier, Robert W. Int J Equity Health Research BACKGROUND: Previous studies about inequality in children’s health focused more on physical health than the neurodevelopment. In this study, we aimed to evaluate the inequality in early childhood neurodevelopment in poor rural China and explore the contributions of socioeconomic factors to the inequality. METHOD: Information of 2120 children aged 0 to 35 months and their households in six poor rural counties of China was collected during July – September, 2013. Age and Stages Questionnaire-Chinese version, concentration index and decomposition analysis were used to assess the neurodevelopment of early childhood, measure its inequality and evaluate the contributions of socioeconomic factors to the inequality, respectively. RESULT: The prevalence of suspected developmental delay in children under 35 months of age in six poor rural counties of China was nearly 40%, with the concentration index of −0.0877. Household economic status, caregivers’ depressive symptoms, learning material and family support for learning were significantly associated with children’s suspected developmental delay, and explained 34.1, 14.1, 8.9 and 7.0% of the inequality in early childhood neurodevelopment, respectively. CONCLUSION: The early childhood neurodevelopment in the surveyed area is poor and unfair. Factors including household economic status, caregivers’ depressive symptoms, learning material and family support for learning are significantly associated with children’s suspected developmental delay and early developmental inequality. The results highlight the urgent need of monitoring child neurodevelopment in poor rural areas. Interventions targeting the caregivers’ depressive symptoms, providing learning material and developmental appropriate stimulating activities may help improve early childhood neurodevelopment and reduce its inequality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12939-017-0691-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-08 /pmc/articles/PMC5723085/ /pubmed/29221451 http://dx.doi.org/10.1186/s12939-017-0691-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Zhang, Cuihong
Zhao, Chunxia
Liu, Xiangyu
Wei, Qianwei
Luo, Shusheng
Guo, Sufang
Zhang, Jingxu
Wang, Xiaoli
Scherpbier, Robert W.
Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title_full Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title_fullStr Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title_full_unstemmed Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title_short Inequality in early childhood neurodevelopment in six poor rural counties of China: a decomposition analysis
title_sort inequality in early childhood neurodevelopment in six poor rural counties of china: a decomposition analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5723085/
https://www.ncbi.nlm.nih.gov/pubmed/29221451
http://dx.doi.org/10.1186/s12939-017-0691-y
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