Cargando…
The association between urbanization and child height: a multilevel study in China
BACKGROUND: Recent economic development in China has been accompanied by well-documented health inequalities between regions. The impact of individual factors on child height has been widely studied, but the influence of community-level factors has not yet been fully studied. METHODS: The cross-sect...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518673/ https://www.ncbi.nlm.nih.gov/pubmed/31088440 http://dx.doi.org/10.1186/s12889-019-6921-z |
_version_ | 1783418502323896320 |
---|---|
author | Zhang, Yan Wang, Han Wang, Xi Liu, Meicen Wang, Yinping Wang, Yan Zhou, Hong |
author_facet | Zhang, Yan Wang, Han Wang, Xi Liu, Meicen Wang, Yinping Wang, Yan Zhou, Hong |
author_sort | Zhang, Yan |
collection | PubMed |
description | BACKGROUND: Recent economic development in China has been accompanied by well-documented health inequalities between regions. The impact of individual factors on child height has been widely studied, but the influence of community-level factors has not yet been fully studied. METHODS: The cross-sectional data of 1606 Chinese children aged 5–18 years from the China Health and Nutrition Survey 2011 were used. Multilevel analysis was used to examine the association of community factors (using urbanization index) with child height. Child height was measured following standardized procedures, and height-for-age Z scores were calculated as outcome variables. Datasets were presented at two levels: community variable (Level-2) was an urbanization index which is a composite score summarizing 12 community-level contextual factors. Individual variables (Level-1) were child gender, ethnicity, percentage of energy intake from protein, maternal height, maternal education level, and family income. RESULTS: Urbanization index was associated with child height. Among the 12 community-level factors, ‘education’ were positively associated with child height. Additionally, stratified analyses by age showed that ‘population density’ and ‘housing’ were positively significantly associated with the height of elder children (13–18 years). At the individual level, male sex, higher maternal height, higher maternal education levels, higher family income, and higher percentage of energy intake from protein, were significantly positively associated with child height. CONCLUSIONS: Our findings point to the role of contextual factors that generate differences between regions in shaping the distribution of child physical health outcomes. Our study suggests that public health programs and policies for child’s physical development may need to combine individual-centered strategies and also approaches aimed at changing residential environments. |
format | Online Article Text |
id | pubmed-6518673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-65186732019-05-21 The association between urbanization and child height: a multilevel study in China Zhang, Yan Wang, Han Wang, Xi Liu, Meicen Wang, Yinping Wang, Yan Zhou, Hong BMC Public Health Research Article BACKGROUND: Recent economic development in China has been accompanied by well-documented health inequalities between regions. The impact of individual factors on child height has been widely studied, but the influence of community-level factors has not yet been fully studied. METHODS: The cross-sectional data of 1606 Chinese children aged 5–18 years from the China Health and Nutrition Survey 2011 were used. Multilevel analysis was used to examine the association of community factors (using urbanization index) with child height. Child height was measured following standardized procedures, and height-for-age Z scores were calculated as outcome variables. Datasets were presented at two levels: community variable (Level-2) was an urbanization index which is a composite score summarizing 12 community-level contextual factors. Individual variables (Level-1) were child gender, ethnicity, percentage of energy intake from protein, maternal height, maternal education level, and family income. RESULTS: Urbanization index was associated with child height. Among the 12 community-level factors, ‘education’ were positively associated with child height. Additionally, stratified analyses by age showed that ‘population density’ and ‘housing’ were positively significantly associated with the height of elder children (13–18 years). At the individual level, male sex, higher maternal height, higher maternal education levels, higher family income, and higher percentage of energy intake from protein, were significantly positively associated with child height. CONCLUSIONS: Our findings point to the role of contextual factors that generate differences between regions in shaping the distribution of child physical health outcomes. Our study suggests that public health programs and policies for child’s physical development may need to combine individual-centered strategies and also approaches aimed at changing residential environments. BioMed Central 2019-05-14 /pmc/articles/PMC6518673/ /pubmed/31088440 http://dx.doi.org/10.1186/s12889-019-6921-z Text en © The Author(s). 2019 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 Article Zhang, Yan Wang, Han Wang, Xi Liu, Meicen Wang, Yinping Wang, Yan Zhou, Hong The association between urbanization and child height: a multilevel study in China |
title | The association between urbanization and child height: a multilevel study in China |
title_full | The association between urbanization and child height: a multilevel study in China |
title_fullStr | The association between urbanization and child height: a multilevel study in China |
title_full_unstemmed | The association between urbanization and child height: a multilevel study in China |
title_short | The association between urbanization and child height: a multilevel study in China |
title_sort | association between urbanization and child height: a multilevel study in china |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6518673/ https://www.ncbi.nlm.nih.gov/pubmed/31088440 http://dx.doi.org/10.1186/s12889-019-6921-z |
work_keys_str_mv | AT zhangyan theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT wanghan theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangxi theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT liumeicen theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangyinping theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangyan theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT zhouhong theassociationbetweenurbanizationandchildheightamultilevelstudyinchina AT zhangyan associationbetweenurbanizationandchildheightamultilevelstudyinchina AT wanghan associationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangxi associationbetweenurbanizationandchildheightamultilevelstudyinchina AT liumeicen associationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangyinping associationbetweenurbanizationandchildheightamultilevelstudyinchina AT wangyan associationbetweenurbanizationandchildheightamultilevelstudyinchina AT zhouhong associationbetweenurbanizationandchildheightamultilevelstudyinchina |