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Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong
INTRODUCTION: Clustering of fast-food restaurants around schools facilitates fast-food consumption among students, which may cause obesity. We examined the prevalence of fast-food restaurants and identified the clusters of fast-food restaurants near secondary schools in Hong Kong. METHODS: We collec...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Centers for Disease Control and Prevention
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220948/ https://www.ncbi.nlm.nih.gov/pubmed/34081576 http://dx.doi.org/10.5888/pcd18.200601 |
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author | Cheung, Jason Tsz Him Tang, Ka Chung Koh, Keumseok |
author_facet | Cheung, Jason Tsz Him Tang, Ka Chung Koh, Keumseok |
author_sort | Cheung, Jason Tsz Him |
collection | PubMed |
description | INTRODUCTION: Clustering of fast-food restaurants around schools facilitates fast-food consumption among students, which may cause obesity. We examined the prevalence of fast-food restaurants and identified the clusters of fast-food restaurants near secondary schools in Hong Kong. METHODS: We collected data of Western fast-food chain restaurants and 490 secondary schools in Hong Kong. Descriptive statistics and buffer analysis identified the prevalence of fast-food restaurants around the secondary schools within 400-m and 800-m buffers. Additional analyses compared schools stratified by the 3 main regions in Hong Kong, district-level population density, and median monthly household income. We used Getis-Ord GI* hot spot analysis to measure spatial clusters of fast-food restaurants around schools and Global Moran’s I to measure the spatial autocorrelation based on each school and the number of fast-food restaurants within the 400-m buffer. RESULTS: The average number of fast-food restaurants within 400 m and 800 m of a school was 2.0 and 6.3, respectively. Seven in 10 secondary schools had at least 1 fast-food restaurant within 400 m. The number of schools with no fast-food restaurants was higher in Hong Kong Island, considered the “rich region” in Hong Kong. Hot spots of clusters were significantly located in the high-density downtown areas. We observed significant spatial autocorrelation between fast-food restaurants and secondary schools in the areas with high density, low income, and high income (P < .001, z > 2.58). CONCLUSION: Fast-food restaurants were substantially clustered around secondary schools in Hong Kong. Territory-wide studies about the health effect of fast-food clusters around schools on children and adolescents are warranted in Hong Kong. |
format | Online Article Text |
id | pubmed-8220948 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-82209482021-07-07 Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong Cheung, Jason Tsz Him Tang, Ka Chung Koh, Keumseok Prev Chronic Dis Original Research INTRODUCTION: Clustering of fast-food restaurants around schools facilitates fast-food consumption among students, which may cause obesity. We examined the prevalence of fast-food restaurants and identified the clusters of fast-food restaurants near secondary schools in Hong Kong. METHODS: We collected data of Western fast-food chain restaurants and 490 secondary schools in Hong Kong. Descriptive statistics and buffer analysis identified the prevalence of fast-food restaurants around the secondary schools within 400-m and 800-m buffers. Additional analyses compared schools stratified by the 3 main regions in Hong Kong, district-level population density, and median monthly household income. We used Getis-Ord GI* hot spot analysis to measure spatial clusters of fast-food restaurants around schools and Global Moran’s I to measure the spatial autocorrelation based on each school and the number of fast-food restaurants within the 400-m buffer. RESULTS: The average number of fast-food restaurants within 400 m and 800 m of a school was 2.0 and 6.3, respectively. Seven in 10 secondary schools had at least 1 fast-food restaurant within 400 m. The number of schools with no fast-food restaurants was higher in Hong Kong Island, considered the “rich region” in Hong Kong. Hot spots of clusters were significantly located in the high-density downtown areas. We observed significant spatial autocorrelation between fast-food restaurants and secondary schools in the areas with high density, low income, and high income (P < .001, z > 2.58). CONCLUSION: Fast-food restaurants were substantially clustered around secondary schools in Hong Kong. Territory-wide studies about the health effect of fast-food clusters around schools on children and adolescents are warranted in Hong Kong. Centers for Disease Control and Prevention 2021-06-03 /pmc/articles/PMC8220948/ /pubmed/34081576 http://dx.doi.org/10.5888/pcd18.200601 Text en https://creativecommons.org/licenses/by/4.0/Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Original Research Cheung, Jason Tsz Him Tang, Ka Chung Koh, Keumseok Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title_full | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title_fullStr | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title_full_unstemmed | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title_short | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong |
title_sort | geographic clustering of fast-food restaurants around secondary schools in hong kong |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220948/ https://www.ncbi.nlm.nih.gov/pubmed/34081576 http://dx.doi.org/10.5888/pcd18.200601 |
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