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Who drinks soda pop? Economic status and adult consumption of sugar-sweetened beverages

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  • Zagorsky, Jay L.
  • Smith, Patricia K.

Abstract

We use two cohorts from the National Longitudinal Surveys (NLSY79 and NLSY97), which are large, nationally representative samples of U.S. adults, to investigate consumption of sugar-sweetened beverages (SSB) by SES, using nine surveys fielded between 2008 and 2016. Previous studies used income and education to measure SES, the NLS enables us to include wealth as well. Previous studies also used cross-sectional data, whereas the NLS allows us to examine whether changes in income and wealth correlate with changes in SSB intake.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:ehbiol:v:38:y:2020:i:c:s1570677x1930214x
    DOI: 10.1016/j.ehb.2020.100888
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    References listed on IDEAS

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    1. Seeman, Teresa & Merkin, Sharon S. & Crimmins, Eileen & Koretz, Brandon & Charette, Susan & Karlamangla, Arun, 2008. "Education, income and ethnic differences in cumulative biological risk profiles in a national sample of US adults: NHANES III (1988-1994)," Social Science & Medicine, Elsevier, vol. 66(1), pages 72-87, January.
    2. Gruenewald, Tara L. & Karlamangla, Arun S. & Hu, Perry & Stein-Merkin, Sharon & Crandall, Carolyn & Koretz, Brandon & Seeman, Teresa E., 2012. "History of socioeconomic disadvantage and allostatic load in later life," Social Science & Medicine, Elsevier, vol. 74(1), pages 75-83.
    3. Farley, T.A. & Halper, H.S. & Carlin, A.M. & Emmerson, K.M. & Foster, K.N. & Fertig, A.R., 2017. "Mass media campaign to reduce consumption of sugar-sweetened beverages in a rural area of the United States," American Journal of Public Health, American Public Health Association, vol. 107(6), pages 989-995.
    4. Leung, C.W. & Laraia, B.A. & Needham, B.L. & Rehkopf, D.H. & Adler, N.E. & Lin, J. & Blackburn, E.H. & Epel, E.S., 2014. "Soda and cell aging: Associations between sugar-sweetened beverage consumption and leukocyte telomere length in healthy adults from the national health and nutrition examination surveys," American Journal of Public Health, American Public Health Association, vol. 104(12), pages 2425-2431.
    5. repec:aph:ajpbhl:10.2105/ajph.2017.303750_8 is not listed on IDEAS
    6. Jay L. Zagorsky, 1999. "Young Baby Boomers' Wealth," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 45(2), pages 135-156, June.
    7. Powell, Lisa M. & Leider, Julien, 2020. "The impact of Seattle’s Sweetened Beverage Tax on beverage prices and volume sold," Economics & Human Biology, Elsevier, vol. 37(C).
    8. Zagorsky, Jay L. & Smith, Patricia K., 2017. "The association between socioeconomic status and adult fast-food consumption in the U.S," Economics & Human Biology, Elsevier, vol. 27(PA), pages 12-25.
    9. Lin, Biing-Hwan & Smith, Travis A. & Lee, Jonq-Ying & Hall, Kevin D., 2011. "Measuring weight outcomes for obesity intervention strategies: The case of a sugar-sweetened beverage tax," Economics & Human Biology, Elsevier, vol. 9(4), pages 329-341.
    10. Bleich, S.N. & Barry, C.L. & Gary-Webb, T.L. & Herring, B.J., 2014. "Reducing sugar-sweetened beverage consumption by providing caloric information: How black adolescents alter their purchases and whether the effects persist," American Journal of Public Health, American Public Health Association, vol. 104(12), pages 2417-2424.
    11. repec:bla:revinw:v:45:y:1999:i:2:p:135-56 is not listed on IDEAS
    12. Vartanian, L.R. & Schwartz, M.B. & Brownell, K.D., 2007. "Effects of soft drink consumption on nutrition and health: A systematic review and meta-analysis," American Journal of Public Health, American Public Health Association, vol. 97(4), pages 667-675.
    13. 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.
    14. Braveman, P.A. & Cubbin, C. & Egerter, S. & Williams, D.R. & Pamuk, E., 2010. "Socioeconomic disparities in health in the united States: What the patterns tell us," American Journal of Public Health, American Public Health Association, vol. 100(S1), pages 186-196.
    15. Theepakorn Jithitikulchai & Tatiana Andreyeva, 2018. "Sugar-Sweetened Beverage Demand and Tax Simulation for Federal Food Assistance Participants: A Case of Two New England States," Applied Health Economics and Health Policy, Springer, vol. 16(4), pages 549-558, August.
    Full references (including those not matched with items on IDEAS)

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    1. Vardges Hovhannisyan & Christopher T. Bastian, 2023. "New insights into the structure of consumer preferences for natural and artificial sweeteners," American Journal of Agricultural Economics, John Wiley & Sons, vol. 105(5), pages 1491-1515, October.
    2. Hovhannisyan, Vardges & Bastian, Christopher T., 2022. "Consumption of Low-Intensity and High-Intensity Sweeteners in the United States: Structure, Drivers, and Policy Implications," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322508, Agricultural and Applied Economics Association.
    3. Agnieszka Piekara & Małgorzata Krzywonos, 2021. "Assessment of the Frequency of Sweetened Beverages Consumption among Adults in Poland," IJERPH, MDPI, vol. 18(13), pages 1-13, June.
    4. Dauth, Christine, 2021. "The effects of private versus public health insurance on health and labor market outcomes," IAB-Discussion Paper 202103, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].

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    More about this item

    Keywords

    Soda; Sugar-sweetened beverages; Income; Wealth; Health disparities;
    All these keywords.

    JEL classification:

    • I10 - Health, Education, and Welfare - - Health - - - General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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