IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/151426.html
   My bibliography  Save this paper

The Effects of Age and Birth Cohort on Dietary Quality in the United States

Author

Listed:
  • Beatty, Timothy K.M.
  • Lin, Biing-Hwan
  • Smith, Travis A.

Abstract

Secular trends in health outcomes related to dietary quality have changed substantially over the past three decades. The objective of this study is to decompose changes in dietary quality over 1977-2008 into the biological effects of age, contemporaneous effects of time period and group membership effects related to birth cohort. Dietary quality is measured by the Healthy Eating Index-2005 (HEI-2005). Using an Age-Period-Cohort (APC) model, findings suggest HEI-2005 scores follow a U-shaped trajectory over the typical American's lifetime (aged 2-79 y), with the lowest scores observed during early-to-mid adulthood (20-50 y, HEI = 54). Period effects largely increase throughout the sample period over 1977-2008. By examining over 100 birth cohorts (1898-2005), results show that those born in the first half of the 20th century have similar levels of dietary quality. However, following the end of the second World War, a substantial decrease in HEI-2005 scores is observed for those born between 1950 and 1990. Although recent cohorts in the 1990's and early 2000's have yet to fully age, preliminary estimates suggest dietary quality may be on the rebound. While nutritional and epidemiological studies tend to focus on secular trends (or period effects) this study suggests cohorts play an important role in characterizing changes in dietary quality.

Suggested Citation

  • Beatty, Timothy K.M. & Lin, Biing-Hwan & Smith, Travis A., 2013. "The Effects of Age and Birth Cohort on Dietary Quality in the United States," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151426, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:151426
    DOI: 10.22004/ag.econ.151426
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/151426/files/APC_HEI_06202013.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.151426?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Martin Browning & Ian Crawford & Marike Knoef, 2012. "The age-period cohort problem: set identification and point identification," CeMMAP working papers 02/12, Institute for Fiscal Studies.
    2. Fu, Wenjiang J. & Hall, Peter, 2006. "Asymptotic properties of estimators in age-period-cohort analysis," Statistics & Probability Letters, Elsevier, vol. 76(17), pages 1925-1929, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Smith, Travis A. & Lin, Biing-Hwan & Coats, Ellen, 2015. "The Evolving Role of Food Sourced Outside the Home on Diets in the U.S.: 1977-2010," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205770, Agricultural and Applied Economics Association.
    2. Stefan Mann & Daria Loginova, 2023. "Distinguishing inter- and pangenerational food trends," Agricultural and Food Economics, Springer;Italian Society of Agricultural Economics (SIDEA), vol. 11(1), pages 1-18, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qiang Fu & Kenneth C. Land & Vicki L. Lamb, 2016. "Violent Physical Bullying Victimization at School: Has There Been a Recent Increase in Exposure or Intensity? An Age-Period-Cohort Analysis in the United States, 1991 to 2012," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 9(2), pages 485-513, June.
    2. Claire Crawford & Lorraine Dearden & Ellen Greaves, 2013. "Identifying the drivers of month of birth differences in educational attainment," DoQSS Working Papers 13-07, Quantitative Social Science - UCL Social Research Institute, University College London.
    3. Hina Amber & Bezawit Beyene Chichaibelu, 2023. "Patterns and Causes of Female Labor Force Participation: An Age–Period–Cohort Analysis for Pakistan," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(2), pages 1-31, April.
    4. Paweł A. Strzelecki, 2019. "Health, disability and labor force participation trends in Poland," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 31-53.
    5. Kadija Charni & Stephen Bazen, 2017. "Do earnings really decline for older workers?," International Journal of Manpower, Emerald Group Publishing Limited, vol. 38(1), pages 4-24, April.
    6. Kadija Charni, 2016. "Is it Better to Work When We Are Older? An Empirical Comparison Between France and Great Britain," AMSE Working Papers 1640, Aix-Marseille School of Economics, France.
    7. Rulof Burger & Servaas Berg & Dieter Fintel, 2015. "The Unintended Consequences of Education Policies on South African Participation and Unemployment," South African Journal of Economics, Economic Society of South Africa, vol. 83(1), pages 74-100, March.
    8. Moundir Lassassi & Aysit Tansel, 2020. "Female labor force participation in five selected MENA countries: An age-period-cohort analysis," Koç University-TUSIAD Economic Research Forum Working Papers 2018, Koc University-TUSIAD Economic Research Forum.
    9. Moundir Lassasi & Aysit Tansel, 2020. "FEMALE LABOR FORCE PARTICIPATION IN FIVE SELECTED MENA COUNTRIES: AN AGE- PERIOD-COHORT ANALYSIS (Algeria, Egypt, Jordan, Palestine and Tunisia)," ERC Working Papers 2002, ERC - Economic Research Center, Middle East Technical University, revised Oct 2020.
    10. Fagereng, Andreas & Halvorsen, Elin, 2017. "Imputing consumption from Norwegian income and wealth registry data," Journal of Economic and Social Measurement, IOS Press, issue 1, pages 67-100.
    11. Aistov, Andrey, 2018. "Age-earnings profiles of different generations," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 50, pages 23-42.
    12. Insan Tunali & Murat Güray Kirdar & Meltem Dayioglu, 2019. "Female Labor Force Participation In Turkey: A Synthetic Cohort (Panel) Analysis, 1988-2013," Working Papers 1378, Economic Research Forum, revised 20 Dec 2019.
    13. Liying Luo, 2013. "Assessing Validity and Application Scope of the Intrinsic Estimator Approach to the Age-Period-Cohort Problem," Demography, Springer;Population Association of America (PAA), vol. 50(6), pages 1945-1967, December.
    14. Zoë Fannon & B. Nielsen, 2018. "Age-period cohort models," Economics Papers 2018-W04, Economics Group, Nuffield College, University of Oxford.
    15. Andreas Fagereng & Charles Gottlieb & Luigi Guiso, 2017. "Asset Market Participation and Portfolio Choice over the Life-Cycle," Journal of Finance, American Finance Association, vol. 72(2), pages 705-750, April.
    16. Abigail Marie Rapa, "undated". "A cohort approach to project the labour participation rate in Malta," CBM Policy Papers PP/04/2019, Central Bank of Malta.
    17. Rulof P Burger & Ronelle Burger & Laura Rossouw, 2012. "The fertility transition in South Africa: A retrospective panel data analysis," Development Southern Africa, Taylor & Francis Journals, vol. 29(5), pages 738-755, December.
    18. Sunde, Uwe & Dohmen, Thomas, 2016. "Aging and preferences," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 64-68.
    19. Chłoń-Domińczak, Agnieszka & Strzelecki, Paweł & Łątkowski, Wojciech, 2020. "Pension reforms or consequences of the economic crisis? Measuring the changes of pension incomes in selected EU countries using APC approach," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    20. Gensowski, Miriam & Gørtz, Mette & Schurer, Stefanie, 2021. "Inequality in personality over the life cycle," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 46-77.

    More about this item

    Keywords

    Food Consumption/Nutrition/Food Safety; Research Methods/ Statistical Methods;

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:aaea13:151426. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.