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- Publisher Website: 10.5888/pcd18.200601
- Scopus: eid_2-s2.0-85107635659
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Article: 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 |
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Authors | |
Issue Date | 2021 |
Publisher | U.S. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. The Journal's web site is located at http://www.cdc.gov/pcd/ |
Citation | Preventing Chronic Diseases, 2021, v. 18 n. 3, p. article no. 200601 How to Cite? |
Abstract | 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.
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Persistent Identifier | http://hdl.handle.net/10722/305485 |
ISSN | 2023 Impact Factor: 4.4 2023 SCImago Journal Rankings: 1.577 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Cheung, JTH | - |
dc.contributor.author | Tang, KC | - |
dc.contributor.author | Koh, K | - |
dc.date.accessioned | 2021-10-20T10:10:03Z | - |
dc.date.available | 2021-10-20T10:10:03Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Preventing Chronic Diseases, 2021, v. 18 n. 3, p. article no. 200601 | - |
dc.identifier.issn | 1545-1151 | - |
dc.identifier.uri | http://hdl.handle.net/10722/305485 | - |
dc.description.abstract | 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. | - |
dc.language | eng | - |
dc.publisher | U.S. Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion. The Journal's web site is located at http://www.cdc.gov/pcd/ | - |
dc.relation.ispartof | Preventing Chronic Diseases | - |
dc.title | Geographic Clustering of Fast-Food Restaurants Around Secondary Schools in Hong Kong | - |
dc.type | Article | - |
dc.identifier.email | Koh, K: peterkoh@hku.hk | - |
dc.identifier.authority | Koh, K=rp02476 | - |
dc.description.nature | link_to_OA_fulltext | - |
dc.identifier.doi | 10.5888/pcd18.200601 | - |
dc.identifier.scopus | eid_2-s2.0-85107635659 | - |
dc.identifier.hkuros | 328108 | - |
dc.identifier.volume | 18 | - |
dc.identifier.issue | 3 | - |
dc.identifier.spage | article no. 200601 | - |
dc.identifier.epage | article no. 200601 | - |
dc.identifier.isi | WOS:000660290800012 | - |
dc.publisher.place | United States | - |