Simulating the Impact of Sugar-Sweetened Beverage Warning Labels in Three Cities

American Journal of Preventive Medicine

Volumn 54, Issue 2, 2018, Pages 197-204

  Lee, Bruce Y ^a,b   Ferguson, Marie C ^a,b   Hertenstein, Daniel L ^a,b   Adam, Atif ^a,b   Zenkov, Eli ^a,c   Wang, Peggy I ^a,b   Wong, Michelle S ^a,b   Gittelsohn, Joel ^a,b   Mui, Yeeli ^b   Brown, Shawn T ^a,c  

^a JOHNS HOPKINS UNIVERSITY   (United States)

^b JOHNS HOPKINS BLOOMBERG SCHOOL OF PUBLIC HEALTH   (United States)

^c CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADOLESCENT; ADULT; ARTICLE; BODY MASS; CALIFORNIA; CHILD; CITY; COHORT ANALYSIS; CONTROLLED STUDY; FEMALE; FOOD; FOOD INDUSTRY; FOOD INTAKE; FOOD PACKAGING; GEOGRAPHY; HEALTH IMPACT ASSESSMENT; HUMAN; MALE; MARYLAND; OBESITY; PENNSYLVANIA; POLICY; POPULATION; PREVALENCE; PROBABILITY; SCHOOL; SCHOOL CHILD; SIMULATION; SUGAR-SWEETENED BEVERAGE; YOUNG ADULT; BEVERAGE; BIOLOGICAL MODEL; CALORIC INTAKE; PACKAGING; PROCEDURES; SYSTEM ANALYSIS;

NUTRITIVE SWEETENER;

ADOLESCENT; BALTIMORE; BEVERAGES; CHILD; ENERGY INTAKE; FEMALE; HUMANS; MALE; MODELS, BIOLOGICAL; NUTRITIVE SWEETENERS; OVERWEIGHT; PHILADELPHIA; PREVALENCE; PRODUCT LABELING; SAN FRANCISCO; SCHOOLS; SYSTEMS ANALYSIS;

EID: 85039063354     PISSN: 07493797     EISSN: 18732607     Source Type: Journal    
DOI: 10.1016/j.amepre.2017.11.003     Document Type: Article

References (46)

1. Della Torre, S.B., Keller, A., Depeyre, J.L., Kruseman, M., Sugar-sweetened beverages and obesity risk in children and adolescents: a systematic analysis on how methodological quality may influence conclusions. J Acad Nutr Diet 116:4 (2016), 638–659, 10.1016/j.jand.2015.05.020.
2. Stevens, A., Hamel, C., Singh, K., et al. Do sugar-sweetened beverages cause adverse health outcomes in children? A systematic review protocol. Syst Rev, 3, 2014, 96, 10.1186/2046-4053-3-96.
3. Finkelstein, E.A., Graham, W.C.K., Malhotra, R., Lifetime direct medical costs of childhood obesity. Pediatrics 133:5 (2014), 854–862, 10.1542/peds.2014-0063.
4. Pomeranz, J.L., Advanced policy options to regulate sugar-sweetened beverages to support public health. J Public Health Policy 33:1 (2012), 75–88, 10.1057/jphp.2011.46.
5. Popova, L., Sugar-sweetened beverage warning labels: lessons learned from the tobacco industry. J Calif Dent Assoc, 44(10), 2016, 633.
6. Roberto, C.A., Wong, D., Musicus, A., Hammond, D., The influence of sugar-sweetened beverage health warning labels on parents’ choices. Pediatrics, 137(2), 2016, e20153185, 10.1542/peds.2015-3185.
7. VanEpps, E.M., Roberto, C.A., The influence of sugar-sweetened beverage warnings: a randomized trial of adolescents’ choices and beliefs. Am J Prev Med 51:5 (2016), 664–672, 10.1016/j.amepre.2016.07.010.
8. Bleich, S.N., Barry, C.L., Gary-Webb, T.L., Herring, B.J., Reducing sugar-sweetened beverage consumption by providing caloric information: how black adolescents alter their purchases and whether the effects persist. Am J Public Health 104:12 (2014), 2417–2424, 10.2105/AJPH.2014.302150.
9. Bleich, S.N., Herring, B.J., Flagg, D.D., Gary-Webb, T.L., Reduction in purchases of sugar-sweetened beverages among low-income black adolescents after exposure to caloric information. Am J Public Health 102:2 (2012), 329–335, 10.2105/AJPH.2011.300350.
10. Bollard, T., Maubach, N., Walker, N., Mhurchu, C.N., Effects of plain packaging, warning labels, and taxes on young people's predicted sugar-sweetened beverage preferences: an experimental study. Int J Behav Nutr Phys Act, 13, 2016, 95, 10.1186/s12966-016-0421-7.
11. Railsback, S.F., Grimm, V., Agent-Based and Individual-Based Modeling: A Practical Introduction. 2011, Princeton University Press, Princeton, NJ.
12. Lee, B.Y., Brown, S.T., Cooley, P., et al. Simulating school closure strategies to mitigate an influenza epidemic. J Public Health Manag Pract 16:3 (2010), 252–261, 10.1097/PHH.0b013e3181ce594e.
13. Lee, B.Y., Brown, S.T., Korch, G.W., et al. A computer simulation of vaccine prioritization, allocation, and rationing during the 2009 H1N1 influenza pandemic. Vaccine 28:31 (2010), 4875–4879, 10.1016/j.vaccine.2010.05.002.
14. Lee, B.Y., Adam, A., Zenkov, E., et al. Modeling the economic and health impact of increasing children's physical activity in the United States. Health Aff (Millwood) 36:5 (2017), 902–908, 10.1377/hlthaff.2016.1315.
15. Lee, B.Y., Brown, S.T., Bailey, R.R., et al. The benefits to all of ensuring equal and timely access to influenza vaccines in poor communities. Health Aff (Millwood) 30:6 (2011), 1141–1150, 10.1377/hlthaff.2010.0778.
16. Lee, B.Y., Brown, S.T., Cooley, P.C., et al. A computer simulation of employee vaccination to mitigate an influenza epidemic. Am J Prev Med 38:3 (2010), 247–257, 10.1016/j.amepre.2009.11.009.
17. Wheaton, W.D., Cajka, J.C., Chasteen, B.M., et al. Synthesized Population Databases: A U.S. Geospatial Database for Agent-Based Models. RTI Press Publication No. MR-0010-0905. 2009, RTI Press, Research Triangle Park, NC, 10.3768/rtipress.2009.mr.0010.0905.
18. Rahmandad, H., Human growth and body weight dynamics: an integrative systems model. PLoS One, 9(12), 2014, e114609, 10.1371/journal.pone.0114609.
19. Wang, Y.C., Bleich, S.N., Gortmaker, S.L., Increasing caloric contribution from sugar-sweetened beverages and 100% fruit juices among U.S. children and adolescents, 1988–2004. Pediatrics 121:6 (2008), e1604–e1614, 10.1542/peds.2007-2834.
20. CDC. Healthy Eating for a Healthy Weight. Cutting Calories. 2015, Division of Nutrition, Physical Activity, and Obesity, Atlanta, GA.
21. Hall, K.D., Butte, N.F., Swinburn, B.A., Chow, C.C., Dynamics of childhood growth and obesity: development and validation of a quantitative mathematical model. Lancet Diabetes Endocrinol 1:2 (2013), 97–105, 10.1016/S2213-8587(13)70051-2.
22. U.S. Census Bureau. American Community Survey, Response Rates. www.census.gov/acs/www/methodology/sample-size-and-data-quality/response-rates/. Accessed November 20, 2017.
23. CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey Data. 2013, U.S. DHHS, CDC, Hyattsville, MD.
24. CDC, National Center for Health Statistics. National Health and Nutrition Examination Survey Data. 2013, 2014, U.S. DHHS, CDC, Hyattsville, MD.
25. ReferenceUSA. 2011 Historical Business Database. www.referenceusa.com/Home/Home. Accessed October 6, 2017.
26. CDC. NCHS. National Health and Nutrition Examination Survey Data. 2010, 2012, U.S. DHHS, CDC, Hyattsville, MD.
27. Baltimore City: Demographics and Social Determinants of Health (2005–2009). Maryland Department of Health and Mental Hygiene. https://phpa.health.maryland.gov/OEHFP/EH/tracking/Shared%20Documents/County-Profiles/DHMH%20Sources%20and%20Explanations%20Ver%201.5.pdf. Accessed November 17, 2017.
28. Babey SH, Wolstein J, Diamant AL, Bloom A, Goldstein H. Overweight and obesity among children by California cities-2010. UCLA Center for Health Policy Research and California Center for Public Health Advocacy. https://cbsla.files.wordpress.com/2012/08/patchworkcities6-4-12.pdf. Published June 2012. Accessed November 17, 2017.
29. Overview of Chronic Disease and Healthy Eating and Active Living Indicators for Philadelphia Adults and Children, 2011 www.phila.gov/health/pdfs/Philadelphia_obesity_chronic_disease812.pdf Accessed November 20, 2017.
30. Kit, B.K., Fakhouri, T.H., Park, S., Nielsen, S.J., Ogden, C.L., Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999–2010. Am J Clin Nutr 98:1 (2013), 180–188, 10.3945/ajcn.112.057943.
31. Dietz, W.H., Critical periods in childhood for the development of obesity. Am J Clin Nutr 59:5 (1994), 955–959.
32. 2015 Reading Trial Urban District Snapshot Report: Baltimore City, Grade 8, Public Schools. 2015, U.S. Department of Education, Washington, DC.
33. 2015 Mathematics & Reading Assessments, District Trends, Philadelphia. 2015, U.S. Department of Education, Washington, DC.
34. Reading State Snapshot Report, California, Grade 8, Public Schools. The Nation's Report Card. 2015, U.S. Department of Education, Washington, DC.
35. US. DHHS. 2015 Poverty Guidelines. 2015, Office of the Assistant Secretary For Planning and Evaluation, Washington, DC.
36. Roberto, C.A., Larsen, P.D., Agnew, H., Baik, J., Brownell, K.D., Evaluating the impact of menu labeling on food choices and intake. Am J Public Health 100:2 (2010), 312–318, 10.2105/AJPH.2009.160226.
37. James, A., Adams-Huet, B., Shah, M., Menu labels displaying the kilocalorie content or the exercise equivalent: effects on energy ordered and consumed in young adults. Am J Health Promot 29:5 (2015), 294–302, 10.4278/ajhp.130522-QUAN-267.
38. Lin, B.-H., Smith, T.A., Lee, J.-Y., Hall, K.D., Measuring weight outcomes for obesity intervention strategies: the case of a sugar-sweetened beverage tax. Econ Hum Biol 9:4 (2011), 329–341, 10.1016/j.ehb.2011.08.007.
39. California Health Interview Survey. CHIS 2014 Adolescent Public Use File. UCLA Center for Health Policy Research. http://healthpolicy.ucla.edu/chis/data/Pages/GetCHISData.aspx. Accessed November 17, 2017.
40. National Center for Health Statistics. 2014. www.cdc.gov/nchs/nhis/nhis_2014_data_release.htm. Accessed November 17, 2017.
41. Chen, J., Scott, K.A., Zhao, Z., Moran, T.H., Bi, S., Characterization of the feeding inhibition and neural activation produced by dorsomedial hypothalamic cholecystokinin administration. Neuroscience 152:1 (2008), 178–188, 10.1016/j.neuroscience.2007.12.004.
42. Powell, L.M., Slater, S., Mirtcheva, D., Bao, Y., Chaloupka, F.J., Food store availability and neighborhood characteristics in the United States. Prev Med 44:3 (2007), 189–195, 10.1016/j.ypmed.2006.08.008.
43. Ver Ploeg, M., Mancino, L., Todd, J.E., Clay, D.M., Scharadin, B., Where Do Americans Usually Shop for Food and How Do They Travel to Get There?: Initial Findings from the National Household Food Acquisition and Purchase Survey. 2015, U.S. Department of Agriculture, Economic Research Service, Washington, DC.
44. Hammond, D., Health warning messages on tobacco products: a review. Tob Control 20:5 (2011), 327–337, 10.1136/tc.2010.037630.
45. Gallopel-Morvan, K., Gabriel, P., Le Gall-Ely, M., Rieunier, S., Urien, B., The use of visual warnings in social marketing: the case of tobacco. J Bus Res 64:1 (2011), 7–11, 10.1016/j.jbusres.2009.09.012.
46. Andreyeva, T., Chaloupka, F.J., Brownell, K.D., Estimating the potential of taxes on sugar-sweetened beverages to reduce consumption and generate revenue. Prev Med 52:6 (2011), 413–416, 10.1016/j.ypmed.2011.03.013.