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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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Detalles Bibliográficos
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
Descripción
Sumario: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.