IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i19p12885-d936387.html
   My bibliography  Save this article

Diet Composition, Anthropometrics, and Mortality Risk

Author

Listed:
  • Nir Y. Krakauer

    (Department of Civil Engineering, City College of New York, New York, NY 10031, USA)

  • Jesse C. Krakauer

    (Associated Physicians/Endocrinology, Berkley, MI 48072, USA)

Abstract

While overeating is considered a cause of the obesity epidemic as quantified by body mass index (BMI), the association of diet with a body shape index (ABSI) and hip index (HI), which are transformations of waist and hip circumference that are independent of BMI and which predict mortality risk, is poorly known. We used data from the Atherosclerosis Risk in Communities (ARIC) study of about 15,000 middle-aged adults to investigate associations between macronutrient intake (energy, carbohydrate, protein, and fat, the latter two divided into plant and animal sources, all based on self-reported food frequency) with anthropometric indices (BMI, ABSI, and HI). We also analyzed the association of diet and anthropometrics with death rate during approximately 30 years of follow-up. High intake of energy and animal fat and protein was generally associated with higher ABSI and lower HI at baseline, as well as greater mortality hazard. BMI was also positively linked with animal fat and protein intake. In contrast, higher intake of carbohydrates and plant fat and protein was associated with lower ABSI and BMI, higher HI, and lower mortality hazard. For example, after adjustment for potential confounders, each standard deviation of additional plant fat intake (as a fraction of total energy) was associated with a 5% decrease in mortality rate, while animal fat intake was associated with a 5% mortality increase per standard deviation. The directions of the associations between diet and anthropometrics are consistent with those found between anthropometrics and mortality without reference to diet.

Suggested Citation

  • Nir Y. Krakauer & Jesse C. Krakauer, 2022. "Diet Composition, Anthropometrics, and Mortality Risk," IJERPH, MDPI, vol. 19(19), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:19:p:12885-:d:936387
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/19/12885/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/19/12885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kantor, Linda Scott, 1998. "A Dietary Assessment of the U.S. Food Supply: Comparing Per Capita Food Consumption with Food Guide Pyramid Serving Recommendations," Agricultural Economic Reports 34079, United States Department of Agriculture, Economic Research Service.
    2. Emyr Reisha Isaura & Yang-Ching Chen & Shwu-Huey Yang, 2018. "The Association of Food Consumption Scores, Body Shape Index, and Hypertension in a Seven-Year Follow-Up among Indonesian Adults: A Longitudinal Study," IJERPH, MDPI, vol. 15(1), pages 1-12, January.
    Full references (including those not matched with items on IDEAS)

    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. Variyam, Jayachandran N. & Golan, Elise, 2002. "New Health Information Is Reshaping Food Choices," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(1).
    2. Padilla, Luis, 2001. "Fruit Consumption: Dietary Health And Policy Implications," 2001 Annual meeting, August 5-8, Chicago, IL 20538, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    3. Emyr Reisha Isaura & Yang-Ching Chen & Shwu-Huey Yang, 2018. "Pathways from Food Consumption Score to Cardiovascular Disease: A Seven-Year Follow-Up Study of Indonesian Adults," IJERPH, MDPI, vol. 15(8), pages 1-15, July.
    4. Putnam, Judy & Kantor, Linda Scott & Allshouse, Jane, 2000. "Per Capita Food Supply Trends: Progress Toward Dietary Guidelines," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 23(3), September.
    5. Stewart, Hayden & Blisard, Noel & Jolliffe, Dean, 2003. "Do Income Constraints Inhibit Spending on Fruits and Vegetables Among Low-Income Households?," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(3), pages 1-16, December.
    6. Katy Giombolini & Kimberlee Chambers & Sheridan Schlegel & Jonnie Dunne, 2011. "Testing the local reality: does the Willamette Valley growing region produce enough to meet the needs of the local population? A comparison of agriculture production and recommended dietary requiremen," Agriculture and Human Values, Springer;The Agriculture, Food, & Human Values Society (AFHVS), vol. 28(2), pages 247-262, June.
    7. Buzby, Jean C. & Farah-Wells, Hodan & Hyman, Jeffrey, 2014. "The Estimated Amount, Value, and Calories of Postharvest Food Losses at the Retail and Consumer Levels in the United States," Economic Information Bulletin 164262, United States Department of Agriculture, Economic Research Service.
    8. Robert C. Johansson & Lisa Mancino & Joseph Cooper, 2006. "The big picture: Obesity, consumption, and food production," Agribusiness, John Wiley & Sons, Ltd., vol. 22(4), pages 491-503.
    9. Unknown, 1999. "America's Eating Habits: Changes and Consequences," Agricultural Information Bulletins 33604, United States Department of Agriculture, Economic Research Service.
    10. Wachenheim, Cheryl J. & Nganje, William E. & Kaitibie, Simeon & Johnston, Gretchen, 2005. "Consumer Willingness to Pay for Breads Marketed as "Low-Carbohydrate"," 2005 Annual meeting, July 24-27, Providence, RI 19428, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    11. Campuzano, Jennifer & Ammon, Cara & Buzby, Jean C. & Bentley, Jeanine T. & Padera, Beth, 2016. "Updated Supermarket Shrink Estimates for Fresh Foods and Their Implications for ERS Loss-Adjusted Food Availability Data," Economic Information Bulletin 262142, United States Department of Agriculture, Economic Research Service.
    12. Muth, Mary K. & Karns, Shawn A. & Nielsen, Samara Joy & Buzby, Jean C. & Wells, Hodan Farah, 2011. "Consumer-Level Food Loss Estimates and Their Use in the ERS Loss- Adjusted Food Availability Data," Technical Bulletins 184307, United States Department of Agriculture, Economic Research Service.
    13. McNamara, Paul E. & Ranney, Christine K. & Kantor, Linda Scott & Krebs-Smith, Susan M., 1999. "The gap between food intakes and the Pyramid recommendations: measurement and food system ramifications," Food Policy, Elsevier, vol. 24(2-3), pages 117-133, May.
    14. Jetter, Karen M. & Chalfant, James A. & Sumner, Daniel A., 2002. "The Welfare Effects Of Consuming A Cancer Prevention Diet," 2002 Annual meeting, July 28-31, Long Beach, CA 19654, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    15. McLean-Meyinsse, Patricia E., 2001. "An Analysis Of Nutritional Label Use In The Southern United States," Journal of Food Distribution Research, Food Distribution Research Society, vol. 32(1), pages 1-5, March.

    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:gam:jijerp:v:19:y:2022:i:19:p:12885-:d:936387. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.