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

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 low-income, 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.

[1]  Gary J. Russell,et al.  Nutrition Information in the Supermarket , 1986 .

[2]  J. M. de Castro.  The effects of the spontaneous ingestion of particular foods or beverages on the meal pattern and overall nutrient intake of humans. , 1993, Physiology & behavior.

[3]  J. D. Castro.  The effects of the spontaneous ingestion of particular foods or beverages on the meal pattern and overall nutrient intake of humans , 1993, Physiology & Behavior.

[4]  Richard D. Mattes,et al.  Dietary Compensation by Humans for Supplemental Energy Provided as Ethanol or Carbohydrate in Fluids , 1996, Physiology & Behavior.

[5]  J. Jacoby,et al.  Consumer behavior: a quadrennium. , 1998, Annual review of psychology.

[6]  J. Variyam,et al.  Unlocking the Mystery Between Nutrition Knowledge and Diet Quality , 1998 .

[7]  M Maclure,et al.  Should we use a case-crossover design? , 2000, Annual review of public health.

[8]  Steven L Gortmaker,et al.  Relation between consumption of sugar-sweetened drinks and childhood obesity: a prospective, observational analysis , 2001, The Lancet.

[9]  Judith S. Baxter,et al.  Pricing and promotion effects on low-fat vending snack purchases: the CHIPS Study. , 2001, American journal of public health.

[10]  Wim Verbeke,et al.  Evaluation of publicity measures relating to the EU beef labelling system in Belgium , 2002 .

[11]  A. Kriska,et al.  Decline in physical activity in black girls and white girls during adolescence. , 2002, The New England journal of medicine.

[12]  Tom Baranowski,et al.  Are current health behavioral change models helpful in guiding prevention of weight gain efforts? , 2003, Obesity research.

[13]  Ross C Brownson,et al.  Declining rates of physical activity in the United States: what are the contributors? , 2005, Annual review of public health.

[14]  Scot Burton,et al.  Attacking the obesity epidemic: the potential health benefits of providing nutrition information in restaurants. , 2006, American journal of public health.

[15]  K. Flegal,et al.  Prevalence of overweight and obesity in the United States, 1999-2004. , 2006, JAMA.

[16]  Ming-chin Yeh,et al.  Effects of energy-content labels and motivational posters on sales of sugar-sweetened beverages: stimulating sales of diet drinks among adults study. , 2006, Journal of the American Dietetic Association.

[17]  Wim Verbeke,et al.  Impact of communication on consumers' food choices , 2008, Proceedings of the Nutrition Society.

[18]  J. Variyam,et al.  The Decline in Consumer Use of Food Nutrition Labels, 1995-2006 , 2012 .

[19]  Alyce Adams,et al.  Why is the Developed World Obese? , 2007, Annual review of public health.

[20]  Candace Young,et al.  Purchasing behavior and calorie information at fast-food chains in New York City, 2007. , 2008, American journal of public health.

[21]  S. French,et al.  Effect of point-of-purchase calorie labeling on restaurant and cafeteria food choices: A review of the literature , 2008, The international journal of behavioral nutrition and physical activity.

[22]  S. Gortmaker,et al.  Increasing Caloric Contribution From Sugar-Sweetened Beverages and 100% Fruit Juices Among US Children and Adolescents, 1988–2004 , 2008, Pediatrics.

[23]  V. Brescoll,et al.  Calorie labeling and food choices: a first look at the effects on low-income people in New York City. , 2009, Health affairs.

[24]  Bryan C. Batch,et al.  Reduction in consumption of sugar-sweetened beverages is associated with weight loss: the PREMIER trial. , 2009, The American journal of clinical nutrition.

[25]  Sangita Sharma,et al.  Process Evaluation of Baltimore Healthy Stores: A Pilot Health Intervention Program With Supermarkets and Corner Stores in Baltimore City , 2010, Health promotion practice.

[26]  J. House,et al.  Measurement of the local food environment: a comparison of existing data sources. , 2010, American journal of epidemiology.

[27]  J. Gittelsohn,et al.  An Urban Food Store Intervention Positively Affects Food-Related Psychosocial Variables and Food Behaviors , 2010, Health education & behavior : the official publication of the Society for Public Health Education.

[28]  L'âge moderne jusqu'en.  Center for Nutrition Policy and Promotion , 2011 .