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Reduction in purchases of sugar-sweetened beverages among low-income black adolescents after exposure to caloric information

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  • Bleich, S.N.
  • Herring, B.J.
  • Flagg, D.D.
  • Gary-Webb, T.L.

Abstract

Objectives. We examined the effect of an intervention to provide caloric information about sugar-sweetened beverages (SSBs) on the number of SSB purchases. Methods. We used a case-crossover design with 4 corner stores located in lowincome, predominately Black neighborhoods in Baltimore, Maryland. The intervention randomly posted 1 of 3 signs with the following caloric information: (1) absolute caloric count, (2) percentage of total recommended daily intake, and (3) physical activity equivalent. We collected data for 1600 beverage sales by Black adolescents, aged 12-18 years, including 400 during a baseline period and 400 for each of the 3 caloric condition interventions. Results. Providing Black adolescents with any caloric information significantly reduced the odds of SSB purchases relative to the baseline (odds ratio [OR]= 0.56; 95% confidence interval [CI]=0.36, 0.89). When examining the 3 caloric conditions separately, the significant effect was observed when caloric information was provided as a physical activity equivalent (OR=0.51; 95% CI=0.31, 0.85). Conclusions. Providing easily understandable caloric information-particularly a physical activity equivalent-may reduce calorie intake from SSBs among low-income, Black adolescents.

Suggested Citation

  • Bleich, S.N. & Herring, B.J. & Flagg, D.D. & Gary-Webb, T.L., 2012. "Reduction in purchases of sugar-sweetened beverages among low-income black adolescents after exposure to caloric information," American Journal of Public Health, American Public Health Association, vol. 102(2), pages 329-335.
    • Handle: RePEc:aph:ajpbhl:10.2105/ajph.2011.300350_5
    DOI: 10.2105/AJPH.2011.300350
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    Cited by:

    1. Zagorsky, Jay L. & Smith, Patricia K., 2020. "Who drinks soda pop? Economic status and adult consumption of sugar-sweetened beverages," Economics & Human Biology, Elsevier, vol. 38(C).
    2. Julie S. Downs & Jessica Wisdom & George Loewenstein, 2015. "Helping Consumers Use Nutrition Information: Effects of Format and Presentation," American Journal of Health Economics, MIT Press, vol. 1(3), pages 326-344, Summer.
    3. Payne, Collin R. & Niculescu, Mihai, 2012. "Social Meaning in Supermarkets as a Direct Route to Improve Parents’ Fruit and Vegetable Purchases," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(1), pages 1-14, April.
    4. Romina Santi & Paola Garrone & Mattia Iannantuoni & Barbara Del Curto, 2022. "Sustainable Food Packaging: An Integrative Framework," Sustainability, MDPI, vol. 14(13), pages 1-17, June.
    5. Zhou, Li & Zhu, Guowei, 2022. "Mind the gap: How the numerical precision of exercise-data-based food labels can nudge healthier food choices," Journal of Business Research, Elsevier, vol. 139(C), pages 354-367.
    6. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, George, "undated". "Front of Pack Food Labels and dietary choice determinants: what works and for whom?," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 261225, Agricultural and Applied Economics Association.
    7. Thiene, Mara & Scarpa, Riccardo & Longo, Alberto & Hutchinson, William George, 2018. "Types of front of pack food labels: Do obese consumers care? Evidence from Northern Ireland," Food Policy, Elsevier, vol. 80(C), pages 84-102.
    8. Zhang, Ying & Li, Ruotong & Zhao, Qiran & Fan, Shenggen, 2023. "The impact of peer effect on students' consumption of sugar-sweetened beverages- instrumental variable evidence from north China," Food Policy, Elsevier, vol. 115(C).

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