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Do Eating Patterns Follow a Cohort or Change Over a Lifetime? Answers Emerging from the Literature

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  • Wendt, Minh
  • Kinsey, Jean D.

Abstract

With the rapidly increasing American elderly population, food companies, healthcare workers, and policy makers alike are asking whether the dietary habits and food consumption patterns of this growing segment of the U.S. population will follow those of current and past elderly people or whether their cohort will eat like they did when they were younger. The purpose of this report is to review what is known about changes in nutritional intake and food consumption patterns that are associated with cohorts (generational) and with the aging process in the U.S. population. Recent literature on cohort and aging effects related to food consumption indicates that the aging effect is greater than the cohort effect. That is, diets change as people age, due to factors such as food availability, new information, new cumulative experiences, and physiological changes as bodies mature. Cohort effect is more likely due to changes in income, i.e., each succeeding cohort realizing higher real per capita income. Variation in findings is likely due to different data sources and analytic methods. Information on data sources and common databases used in these types of studies are also reviewed.

Suggested Citation

  • Wendt, Minh & Kinsey, Jean D., 2007. "Do Eating Patterns Follow a Cohort or Change Over a Lifetime? Answers Emerging from the Literature," Working Papers 7071, University of Minnesota, The Food Industry Center.
    • Handle: RePEc:ags:umrfwp:7071
    DOI: 10.22004/ag.econ.7071
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    References listed on IDEAS

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    4. Blisard, Noel, 2001. "Income and Food Expenditures Decomposed by Cohort, Age, and Time Effects," Technical Bulletins 33552, United States Department of Agriculture, Economic Research Service.
    5. Block, G. & Rosenberger, W.F. & Patterson, B.H., 1988. "Calories, fat and cholesterol: Intake patterns in the US population by race, sex and age," American Journal of Public Health, American Public Health Association, vol. 78(9), pages 1150-1155.
    6. Marcia Ory & Donna Cox, 1994. "Forging ahead: Linking health and behavior to improve quality of life in older people," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 33(1), pages 89-120, August.
    7. Blisard, Noel, 2001. "Income and Food Expenditures Decomposed by Cohort, Age, and Time Effects," Technical Bulletins 184328, United States Department of Agriculture, Economic Research Service.
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    Cited by:

    1. Drescher, Larissa S. & Roosen, Jutta, 2013. "A Cohort Analysis of Food-at-Home and Food-away-from-Home Expenditures in Germany," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 62(01), pages 1-13, February.
    2. Drescher, Larissa S. & Roosen, Jutta, 2010. "An Analysis Of The Retirement-Consumption Puzzle For Food-At-Home And Away-From-Home Expenditures In Germany," 115th Joint EAAE/AAEA Seminar, September 15-17, 2010, Freising-Weihenstephan, Germany 116441, European Association of Agricultural Economists.
    3. Drescher, Larissa S. & Roosen, Jutta, 2013. "A Cohort Analysis of Food-at-Home and Food-away-from-Home Expenditures in Germany," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 62(1).

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