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Sugary Drink Consumption Among NYC Children, Youth, and Adults: Disparities Persist Over Time, 2007–2015

  • Tali Elfassy
  • Tamar Adjoian
  • Megan Lent
Original Paper
  • 78 Downloads

Abstract

Sugary drink consumption is associated with many adverse health outcomes, including weight gain, diabetes, and other chronic conditions. These beverages are widely marketed and ubiquitously available. This analysis explores sugary drink consumption across all age groups among New York City (NYC) residents using representative survey data. Three population-based representative surveys of NYC residents of different age groups were analyzed. Adult participants, youth participants, and caregivers of child participants self-reported the number of sugary drinks they consumed per day. Mean sugary drink intake per day was estimated overall and by demographic characteristics, for the 2015 cycle of each survey and the 2007–2015 cycles of the adult survey. T tests were used to determine whether means differed by demographics. Long-term trends in mean sugary drink consumption among adult participants were conducted to examine changes over time overall and by demographic characteristics. In 2015, the mean daily number of sugary drinks consumed was 0.53 (95% CI 0.45, 0.61) among children 0–5 years old, 1.05 (95% CI 0.90, 1.21) among children 6–12 years old, and 1.16 (95% CI 1.09, 1.29) among NYC high school students. Among all NYC adults, sugary drink intake decreased 36% from 1.03 (95% CI 0.99, 1.08) in 2007 to 0.66 (95% CI 0.62, 0.70) drinks per day in 2015, p < 0.01. However, at each age level, there were persistent disparities in sugary drink consumption by sex, race/ethnicity, educational attainment, and poverty level. Decreasing overall rates of sugary drink consumption are promising; however, disparities by socio-demographics are a concern. Reducing sugary drink consumption across all ages is recommended as is minimizing the introduction at an early age. Reduction of sugary drink consumption will require a collaborative, multi-sectoral approach.

Keywords

Sugary drinks Sugar-sweetened beverages SSBs 

Notes

Acknowledgements

The author thanked Amaka Anekwe, MS, RD.

Compliance with Ethical Standards

Conflict of interest

The authors declare that they have no conflicts of interest or financial disclosures to report.

References

  1. 1.
    Bernabe, E., Vehkalahti, M. M., Sheiham, A., Aromaa, A., & Suominen, A. L. (2014). Sugar-sweetened beverages and dental caries in adults: A 4-year prospective study. Journal of Dentistry, 42(8), 952–958.CrossRefGoogle Scholar
  2. 2.
    Fung, T. T., Malik, V., Rexrode, K. M., Manson, J. E., Willett, W. C., & Hu, F. B. (2009). Sweetened beverage consumption and risk of coronary heart disease in women. The American Journal of Clinical Nutrition, 89(4), 1037–1042.CrossRefGoogle Scholar
  3. 3.
    Malik, V. S., Pan, A., Willett, W. C., & Hu, F. B. (2013). Sugar-sweetened beverages and weight gain in children and adults: A systematic review and meta-analysis. The American Journal of Clinical Nutrition, 98(4), 1084–1102.CrossRefGoogle Scholar
  4. 4.
    Schulze, M. B., Manson, J. E., Ludwig, D. S., Colditz, G. A., Stampfer, M. J., Willett, W. C., et al. (2004). Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA, 292(8), 927–934.CrossRefGoogle Scholar
  5. 5.
    US Department of Agriculture. (2015). Scientific Report of the 2015 Dietary Guidelines Advisory Committee. Washington, D.C.: U.S Government Printing Office.Google Scholar
  6. 6.
    Robert Wood Johnson Foundation and the Rudd Center for Food Policy and Obesity. (2014). Sugary Drink, FACTS. Retrieved October 10, 2018, from https://www.rwjf.org/en/library/research/2014/11/sugary-drinks-facts-2014.html.
  7. 7.
    Kit, B. K., Fakhouri, T. H., Park, S., Nielsen, S. J., & Ogden, C. L. (2013). Trends in sugar-sweetened beverage consumption among youth and adults in the United States: 1999–2010. The American Journal of Clinical Nutrition, 98(1), 180–188.CrossRefGoogle Scholar
  8. 8.
    Bleich, S. N., Vercammen, K. A., Koma, J. W., & Li, Z. (2017). Trends in beverage consumption among children and adults, 2003–2014. Obesity (Silver Spring), 26, 432–441.CrossRefGoogle Scholar
  9. 9.
    Adjoian, T., Dannefer, R., Sacks, R., & Van Wye, G. (2014). Comparing sugary drinks in the food retail environment in six NYC neighborhoods. Journal of Community Health, 39(2), 327–335.CrossRefGoogle Scholar
  10. 10.
    Farley, T. A., Baker, E. T., Futrell, L., & Rice, J. C. (2010). The ubiquity of energy-dense snack foods: A national multicity study. American Journal of Public Health, 100(2), 306–311.CrossRefGoogle Scholar
  11. 11.
    Lucan, S. C., Maroko, A. R., Seitchik, J. L., Yoon, D. H., Sperry, L. E., & Schechter, C. B. (2018). Unexpected neighborhood sources of food and drink: Implications for research and community health. American Journal of Preventive Medicine, 55(2), e29–e38.CrossRefGoogle Scholar
  12. 12.
    Isgor, Z., Powell, L., Rimkus, L., & Chaloupka, F. (2016). Associations between retail food store exterior advertisements and community demographic and socioeconomic composition. Health Place, 39, 43–50.CrossRefGoogle Scholar
  13. 13.
    Powell, L. M., Wada, R., & Kumanyika, S. K. (2014). Racial/ethnic and income disparities in child and adolescent exposure to food and beverage television ads across the U.S. media markets. Health Place, 29, 124–131.CrossRefGoogle Scholar
  14. 14.
    Bragg, M. A., Miller, A. N., Elizee, J., Dighe, S., & Elbel, B. D. (2016) Popular music celebrity endorsements in food and nonalcoholic beverage marketing. Pediatrics, 138(1), e20153977CrossRefGoogle Scholar
  15. 15.
    New York City Department of Health and Mental Hygiene. (2016). Child Health, Emotional Wellness and Development Survey Methods Summary. Retrieved October 10, 2018, from https://www1.nyc.gov/assets/doh/downloads/pdf/episrv/chewds2015methods.pdf.
  16. 16.
    New York City Department of Health and Mental Hygiene. (2012). Comprehensive YRBS Methods Report. Retrieved October 9, 2018, from https://www1.nyc.gov/assets/doh/downloads/pdf/survey/yrbs-methods-report.pdf.
  17. 17.
    Centers for Disease Control and Prevention. (2018). Behavioral Risk Factor Surveillance System. US Department of Health and Human Services. Retrieved October 9, 2018, from https://www.cdc.gov/brfss/index.html.
  18. 18.
    New York City Department of Health and Mental Hygiene. (2013). Survey Data on the Health of New Yorkers. Retrieved October 9, 2018, from https://www1.nyc.gov/site/doh/data/data-sets/community-health-survey-methodology.page.
  19. 19.
    Toprani, A., Li, W., & Hadler, J. L. (2016). Trends in Mortality Disparities by Area-Based Poverty in New York City, 1990–2010. Journal of Urban Health: Bulletin of the New York Academy of Medicine, 93(3), 538–550.CrossRefGoogle Scholar
  20. 20.
    New York City Department of Health and Mental Hygiene. (2012). Article 81 Food Preparation and Food Establishments. Retrieved October 9, 2018, from https://www1.nyc.gov/assets/doh/downloads/pdf/about/healthcode/health-code-article81.pdf.
  21. 21.
    Kansagra, S. M., Kennelly, M. O., Nonas, C. A., Curtis, C. J., Van Wye, G., Goodman, A., et al. (2015). Reducing sugary drink consumption: New York City’s approach. American Journal of Public Health, 105(4), e61–e64.CrossRefGoogle Scholar
  22. 22.
    Birch, L., Savage, J. S., & Ventura, A. (2007). Influences on the development of children’s eating behaviours: From infancy to adolescence. Canadian Journal of Dietetic Practice and Research: A Publication of Dietitians of Canada = Revue Canadienne de la Pratique et de la Recherche en Dietetique : Une Publication des Dietetistes du Canada, 68(1), s1–s56.Google Scholar
  23. 23.
    Savage, J. S., Fisher, J. O., & Birch, L. L. (2007). Parental influence on eating behavior: Conception to adolescence. The Journal of Law, Medicine & Ethics: A Journal of the American Society of Law, Medicine & Ethics, 35(1), 22–34.CrossRefGoogle Scholar
  24. 24.
    Scaglioni, S., Arrizza, C., Vecchi, F., & Tedeschi, S. (2011). Determinants of children’s eating behavior. The American Journal of Clinical Nutrition, 94(6 Suppl), 2006s–2011s.CrossRefGoogle Scholar
  25. 25.
    Kelly, M. P., & Barker, M. (2016). Why is changing health-related behaviour so difficult? Public Health, 136, 109–116.CrossRefGoogle Scholar
  26. 26.
    Jennings, J. R. A. B., Gianaros, P. J., Thayer, J. F., & Manuck, S. B. (2014). Focusing neurovisceral integration: Cognition, heart rate variability, and cerebral blood flow. Psychophysiology.  https://doi.org/10.1111/psyp.12319.CrossRefPubMedPubMedCentralGoogle Scholar
  27. 27.
    US Department of Agriculture. (2002). Estimated calorie needs per day by age, gender, and physical activity level. Accessed October 9, 2018, from https://www.cnpp.usda.gov/sites/default/files/usda_food_patterns/EstimatedCalorieNeedsPerDayTable.pdf.
  28. 28.
    Coca-Cola. (2018). Coco-Cola product, facts. Retrieved October 9, 2018, from https://www.coca-colaproductfacts.com/en/home-page/.
  29. 29.
    Futrell Dunaway, L., Carton, T., Ma, P., Mundorf, A. R., Keel, K., & Theall, K. P. (2017). Beyond food access: The impact of parent-, home-, and neighborhood-level factors on children’s diets. International Journal of Environmental Research and Public Health, 14(6), 662CrossRefGoogle Scholar
  30. 30.
    Ranjit, N., Wilkinson, A. V., Lytle, L. M., Evans, A. E., Saxton, D., & Hoelscher, D. M. (2015). Socioeconomic inequalities in children’s diet: The role of the home food environment. International Journal of Behavioral Nutrition and Physical Activity, 12(Suppl 1), S4.CrossRefGoogle Scholar
  31. 31.
    Darmon, N., & Drewnowski, A. (2008). Does social class predict diet quality? The American Journal of Clinical Nutrition, 87(5), 1107–1117.CrossRefGoogle Scholar
  32. 32.
    Gebremariam, M. K., Henjum, S., Terragni, L., & Torheim, L. E. (2016). Correlates of fruit, vegetable, soft drink, and snack intake among adolescents: The ESSENS study. Food & Nutrition Research.  https://doi.org/10.3402/fnr.v60.32512.CrossRefGoogle Scholar
  33. 33.
    Han, E., & Powell, L. M. (2013). Consumption patterns of sugar-sweetened beverages in the United States. Journal of the Academy of Nutrition and Dietetics, 113(1), 43–53.CrossRefGoogle Scholar
  34. 34.
    Adjoian, T., & Lent, M. (2017). Sugary drink consumption among new york adults, youth, and children. NYC Vital Signs, 16(4), 1–4.Google Scholar
  35. 35.
    Powell, L. M., Schermbeck, R. M., & Chaloupka, F. J. (2013). Nutritional content of food and beverage products in television advertisements seen on children’s programming. Childhood Obesity, 9(6), 524–531.CrossRefGoogle Scholar
  36. 36.
    Powell, L. M., Harris, J. L., & Fox, T. (2013). Food marketing expenditures aimed at youth putting the numbers in context. American Journal of Preventive Medicine, 45(4), 453–461.CrossRefGoogle Scholar
  37. 37.
    Laibson, D. (2001). A cue-theory of consumption. The Quarterly Journal of Economics, 116(1), 81–119.CrossRefGoogle Scholar

Copyright information

© This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2018

Authors and Affiliations

  1. 1.Department of Public Health Sciences, Miller School of MedicineUniversity of MiamiCoral GablesUSA
  2. 2.New York City Department of Health and Mental HygieneBureau of Chronic Disease Prevention and Tobacco ControlLong Island CityUSA
  3. 3.New York City Department of Health and Mental HygieneBureau of Chronic Disease Prevention and Tobacco ControlLong Island CityUSA

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