Roxanne Dupuis, Marie A. Bragg, Lloyd Heng, Emil Hafeez, Erilia Wu, Tod Mijanovich, Beth C. Weitzman, Pasquale E. Rummo, Brian Elbel
{"title":"社区特征与卡路里标签对快餐消费影响的关系","authors":"Roxanne Dupuis, Marie A. Bragg, Lloyd Heng, Emil Hafeez, Erilia Wu, Tod Mijanovich, Beth C. Weitzman, Pasquale E. Rummo, Brian Elbel","doi":"10.1002/oby.24198","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Objective</h3>\n \n <p>The objective of this study was to evaluate potential sources of heterogeneity in the effect of calorie labeling on fast-food purchases among restaurants located in areas with different neighborhood characteristics.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>In a quasi-experimental design, using transaction data from 2329 Taco Bell restaurants across the United States between 2008 and 2014, we estimated the relationships of census tract-level income, racial and ethnic composition, and urbanicity with the impacts of calorie labeling on calories purchased per transaction.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Calorie labeling led to small, absolute reductions in calories purchased across all population subgroups, ranging between −9.3 calories (95% CI: −18.7 to 0.0) and −37.6 calories (95% CI: −41.6 to −33.7) 2 years after labeling implementation. We observed the largest difference in the effect of calorie labeling between restaurants located in rural compared with those located in high-density urban census tracts 2 years after implementation, with the effect of calorie labeling being three times larger in urban areas.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Fast-food calorie labeling led to small reductions in calories purchased across all population subgroups except for rural census tracts, with some subgroups experiencing a greater benefit.</p>\n </section>\n </div>","PeriodicalId":215,"journal":{"name":"Obesity","volume":"33 2","pages":"356-364"},"PeriodicalIF":4.2000,"publicationDate":"2025-01-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Relationship between community characteristics and impact of calorie labeling on fast-food purchases\",\"authors\":\"Roxanne Dupuis, Marie A. 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Rummo, Brian Elbel\",\"doi\":\"10.1002/oby.24198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>The objective of this study was to evaluate potential sources of heterogeneity in the effect of calorie labeling on fast-food purchases among restaurants located in areas with different neighborhood characteristics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>In a quasi-experimental design, using transaction data from 2329 Taco Bell restaurants across the United States between 2008 and 2014, we estimated the relationships of census tract-level income, racial and ethnic composition, and urbanicity with the impacts of calorie labeling on calories purchased per transaction.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Calorie labeling led to small, absolute reductions in calories purchased across all population subgroups, ranging between −9.3 calories (95% CI: −18.7 to 0.0) and −37.6 calories (95% CI: −41.6 to −33.7) 2 years after labeling implementation. 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Relationship between community characteristics and impact of calorie labeling on fast-food purchases
Objective
The objective of this study was to evaluate potential sources of heterogeneity in the effect of calorie labeling on fast-food purchases among restaurants located in areas with different neighborhood characteristics.
Methods
In a quasi-experimental design, using transaction data from 2329 Taco Bell restaurants across the United States between 2008 and 2014, we estimated the relationships of census tract-level income, racial and ethnic composition, and urbanicity with the impacts of calorie labeling on calories purchased per transaction.
Results
Calorie labeling led to small, absolute reductions in calories purchased across all population subgroups, ranging between −9.3 calories (95% CI: −18.7 to 0.0) and −37.6 calories (95% CI: −41.6 to −33.7) 2 years after labeling implementation. We observed the largest difference in the effect of calorie labeling between restaurants located in rural compared with those located in high-density urban census tracts 2 years after implementation, with the effect of calorie labeling being three times larger in urban areas.
Conclusions
Fast-food calorie labeling led to small reductions in calories purchased across all population subgroups except for rural census tracts, with some subgroups experiencing a greater benefit.
期刊介绍:
Obesity is the official journal of The Obesity Society and is the premier source of information for increasing knowledge, fostering translational research from basic to population science, and promoting better treatment for people with obesity. Obesity publishes important peer-reviewed research and cutting-edge reviews, commentaries, and public health and medical developments.