Trends and sociodemographic disparities in sugary drink consumption among adults in New York City, 2009-2017.

Nan Jiang, Stella S Yi, Rienna Russo, Daniel D Bu, Donglan Zhang, Bart Ferket, Fang Fang Zhang, José A Pagán, Y Claire Wang, Yan Li
Author Information
  1. Nan Jiang: Department of Social Work, National University of Singapore, Singapore.
  2. Stella S Yi: Department of Population Health, NYU School of Medicine, New York, NY, United States.
  3. Rienna Russo: Department of Population Health, NYU School of Medicine, New York, NY, United States.
  4. Daniel D Bu: Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  5. Donglan Zhang: Department of Health Policy and Management, College of Public Health, University of Georgia, Athens, GA, United States.
  6. Bart Ferket: Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.
  7. Fang Fang Zhang: Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
  8. José A Pagán: Department of Public Health Policy and Management, College of Global Public Health, New York University, New York, NY, United States.
  9. Y Claire Wang: The New York Academy of Medicine, New York, NY, United States.
  10. Yan Li: Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States.

Abstract

Despite efforts to decrease sugary drink consumption, sugary drinks remain the largest single source of added sugars in diets in the United States. This study aimed to examine trends in sugary drink consumption among adults in New York City (NYC) over the past decade by key sociodemographic factors. We used data from the 2009-2017 NYC Community Health Survey to examine trends in sugary drink consumption overall, and across different age, gender, and racial/ethnic subgroups. We conducted a test of trend to examine the significance of change in mean sugary drink consumption over time. We also conducted multiple zero-inflated negative binomial regression to identify the association between different sociodemographic and neighborhood factors and sugary drink consumption. Sugary drink consumption decreased from 2009 to 2014 from 0.97 to 0.69 servings per day ( < 0.001), but then plateaued from 2014 to 2017 ( = 0.01). Although decreases were observed across all age, gender and racial/ethnic subgroups, the largest decreases over this time period were observed among 18-24 year old (1.75 to 1.22 servings per day,  < 0.001); men (1.12 to 0.86 servings per day,  < 0.001); Blacks (1.45 to 1.14 servings per day,  < 0.001); and Hispanics (1.26 to 0.86 servings per day,  < 0.001). Despite these decreases, actual mean consumption remains highest in these same sociodemographic subgroups. Although overall sugary drink consumption has been declining, the decline has slowed in more recent years. Further, certain age, gender and racial/ethnic groups still consume disproportionately more sugary drinks than others. More research is needed to understand and address the root causes of disparities in sugary drink consumption.

References

  1. Subst Use Misuse. 2019;54(8):1309-1318 [PMID: 30767607]
  2. Am J Clin Nutr. 2014 Jul;100(1):65-79 [PMID: 24808490]
  3. Public Health Nutr. 2017 Aug;20(12):2208-2214 [PMID: 28587693]
  4. Public Health Nutr. 2016 Apr;19(6):1093-102 [PMID: 26054646]
  5. J Nutr. 2015 Oct;145(10):2389-95 [PMID: 26338888]
  6. Environ Res. 2006 Oct;102(2):181-96 [PMID: 16828737]
  7. J Am Diet Assoc. 2010 Aug;110(8):1227-32 [PMID: 20656099]
  8. Health Place. 2010 Sep;16(5):876-84 [PMID: 20462784]
  9. Addict Behav. 2015 Mar;42:180-4 [PMID: 25481451]
  10. Int J Clin Pract. 2016 Oct;70(10):791-805 [PMID: 27456347]
  11. Int J Environ Res Public Health. 2017 Nov 21;14(11): [PMID: 29160811]
  12. Food Sci Nutr. 2016 Mar 29;5(1):38-45 [PMID: 28070314]
  13. Am J Clin Nutr. 2013 Oct;98(4):1084-102 [PMID: 23966427]
  14. J Urban Health. 2008 May;85(3):375-85 [PMID: 18347992]
  15. Public Health Nutr. 2016 Sep;19(13):2336-46 [PMID: 27265445]
  16. Public Health Nutr. 2015 Oct;18(15):2881-90 [PMID: 25714993]
  17. Clin Exp Hypertens. 2015;37(7):587-93 [PMID: 26114357]
  18. Circulation. 2010 Mar 23;121(11):1356-64 [PMID: 20308626]
  19. NCHS Data Brief. 2017 Jan;(271):1-8 [PMID: 28135184]
  20. Public Health Rep. 2013 Nov;128 Suppl 3:48-53 [PMID: 24179279]
  21. BMJ. 2012 Jan 15;346:e7492 [PMID: 23321486]
  22. Am J Public Health. 2007 Apr;97(4):667-75 [PMID: 17329656]
  23. J Community Health. 2019 Apr;44(2):297-306 [PMID: 30368650]
  24. Diabetes Care. 2010 Nov;33(11):2477-83 [PMID: 20693348]
  25. Am J Public Health. 2015 Apr;105(4):e61-4 [PMID: 25713971]
  26. Physiol Behav. 2010 Apr 26;100(1):47-54 [PMID: 20138901]
  27. JAMA. 2016 Feb 2;315(5):457-8 [PMID: 26746707]
  28. Prev Med. 2018 Jan;106:73-78 [PMID: 28987339]
  29. J Nutr. 2012 Feb;142(2):306-12 [PMID: 22223568]
  30. Crit Rev Food Sci Nutr. 2019;59(7):1071-1090 [PMID: 29039970]
  31. Obesity (Silver Spring). 2018 Feb;26(2):432-441 [PMID: 29134763]
  32. Am J Health Promot. 2017 Jan;31(1):59-66 [PMID: 26389982]
  33. Nutr Cancer. 2008;60(5):603-11 [PMID: 18791923]
  34. Curr Obes Rep. 2014 Dec;3(4):451-8 [PMID: 25574452]

Grants

  1. R01 HL141427/NHLBI NIH HHS
  2. R01 MD011501/NIMHD NIH HHS
  3. TL1 TR001434/NCATS NIH HHS

Word Cloud

Created with Highcharts 10.0.0sugaryconsumptiondrink1servingsperday< 0001sociodemographic0examineamongagegenderracial/ethnicsubgroupsdecreasesDespitedrinkslargesttrendsadultsNewYorkCityNYCfactors2009-2017overallacrossdifferentconductedmeantime2014Althoughobserved86disparitieseffortsdecreaseremainsinglesourceaddedsugarsdietsUnitedStatesstudyaimedpastdecadekeyuseddataCommunityHealthSurveytesttrendsignificancechangealsomultiplezero-inflatednegativebinomialregressionidentifyassociationneighborhoodSugarydecreased20099769plateaued2017 = 001period18-24 yearold7522men12Blacks4514Hispanics26actualremainshighestdecliningdeclineslowedrecentyearscertaingroupsstillconsumedisproportionatelyothersresearchneededunderstandaddressrootcausesTrends

Similar Articles

Cited By