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An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China

OBJECTIVE: Identifying the spatial patterns of childhood overweight/obesity (OW/OB) can help to guide resource allocation for preventive intervention in China. This study aims to estimate rates of childhood OW/OB across counties within Shandong Province, using geographic techniques to identify sex-s...

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Autores principales: Qin, Wenzhe, Wang, Lu, Xu, Lingzhong, Sun, Long, Li, Jiajia, Zhang, Jiao, Shao, Hui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707763/
https://www.ncbi.nlm.nih.gov/pubmed/31444183
http://dx.doi.org/10.1136/bmjopen-2018-028152
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author Qin, Wenzhe
Wang, Lu
Xu, Lingzhong
Sun, Long
Li, Jiajia
Zhang, Jiao
Shao, Hui
author_facet Qin, Wenzhe
Wang, Lu
Xu, Lingzhong
Sun, Long
Li, Jiajia
Zhang, Jiao
Shao, Hui
author_sort Qin, Wenzhe
collection PubMed
description OBJECTIVE: Identifying the spatial patterns of childhood overweight/obesity (OW/OB) can help to guide resource allocation for preventive intervention in China. This study aims to estimate rates of childhood OW/OB across counties within Shandong Province, using geographic techniques to identify sex-specific spatial patterns of childhood OW/OB as well as the presence of spatial clusters. DESIGN: Cross-sectional study. SETTING: Shandong Province in China. PARTICIPANTS AND METHODS: Data on 6 216 076 children and adolescents aged 7–18 years from the Primary and Secondary Schoolchildren Physical Examination Database for Shandong Province were used in this study. Spatial patterns of sex-specific prevalence of childhood OW/OB were mapped. Global autocorrelation statistic (Moran’s I) and the Local Indicator of Spatial Association (LISA) were applied to assess the degree of spatial autocorrelation. RESULTS: The overall prevalence of childhood OW/OB in Shandong province were 15.05% and 9.23%, respectively. Maps of the sex-specific prevalence of OW/OB demonstrate a marked geographical variation of childhood OW/OB in different regions. Prevalence of childhood OW/OB had a significant positive spatial autocorrelation among both boys and girls. LISA analysis identified significant clusters (or ‘hot spots’) of childhood OW/OB in the eastern coastal region, central region and southwestern region. CONCLUSIONS: The prevalence of childhood OW/OB is highly spatially clustered. Geographically focused appropriate intervention should be introduced in current childhood OW/OB prevention and control strategy.
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spelling pubmed-67077632019-09-06 An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China Qin, Wenzhe Wang, Lu Xu, Lingzhong Sun, Long Li, Jiajia Zhang, Jiao Shao, Hui BMJ Open Public Health OBJECTIVE: Identifying the spatial patterns of childhood overweight/obesity (OW/OB) can help to guide resource allocation for preventive intervention in China. This study aims to estimate rates of childhood OW/OB across counties within Shandong Province, using geographic techniques to identify sex-specific spatial patterns of childhood OW/OB as well as the presence of spatial clusters. DESIGN: Cross-sectional study. SETTING: Shandong Province in China. PARTICIPANTS AND METHODS: Data on 6 216 076 children and adolescents aged 7–18 years from the Primary and Secondary Schoolchildren Physical Examination Database for Shandong Province were used in this study. Spatial patterns of sex-specific prevalence of childhood OW/OB were mapped. Global autocorrelation statistic (Moran’s I) and the Local Indicator of Spatial Association (LISA) were applied to assess the degree of spatial autocorrelation. RESULTS: The overall prevalence of childhood OW/OB in Shandong province were 15.05% and 9.23%, respectively. Maps of the sex-specific prevalence of OW/OB demonstrate a marked geographical variation of childhood OW/OB in different regions. Prevalence of childhood OW/OB had a significant positive spatial autocorrelation among both boys and girls. LISA analysis identified significant clusters (or ‘hot spots’) of childhood OW/OB in the eastern coastal region, central region and southwestern region. CONCLUSIONS: The prevalence of childhood OW/OB is highly spatially clustered. Geographically focused appropriate intervention should be introduced in current childhood OW/OB prevention and control strategy. BMJ Publishing Group 2019-08-22 /pmc/articles/PMC6707763/ /pubmed/31444183 http://dx.doi.org/10.1136/bmjopen-2018-028152 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Public Health
Qin, Wenzhe
Wang, Lu
Xu, Lingzhong
Sun, Long
Li, Jiajia
Zhang, Jiao
Shao, Hui
An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title_full An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title_fullStr An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title_full_unstemmed An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title_short An exploratory spatial analysis of overweight and obesity among children and adolescents in Shandong, China
title_sort exploratory spatial analysis of overweight and obesity among children and adolescents in shandong, china
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6707763/
https://www.ncbi.nlm.nih.gov/pubmed/31444183
http://dx.doi.org/10.1136/bmjopen-2018-028152
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