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Difficulty of healthy eating: A Rasch model approach

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  • Henson, Spencer
  • Blandon, Jose
  • Cranfield, John

Abstract

This study aims to measure the difficulty of healthy eating as a single latent construct and, within that, assess which dietary guidelines consumers find more or less difficult to comply with using the Rasch model approach. Participants self-reported their compliance with 12 health-promoting dietary recommendations related to cooking methods and consumption of specific food items. Data were drawn from a survey elicited using a longitudinal consumer panel established in the City of Guelph, Ontario, Canada in 2008. The panel consists of 1962 randomly-selected residents of Guelph between the age of 20 and 69 years. The response rate was equal to 68 percent. The main assumptions of the Rasch model were satisfied. However, subsequent differential item functioning analysis revealed significant scale variations by gender, education, age and household income, which reduced the validity of the Rasch scale. Conversely, these scale variations highlight the importance of socio-economic and demographic factors on the difficulty of healthy eating.

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  • Henson, Spencer & Blandon, Jose & Cranfield, John, 2010. "Difficulty of healthy eating: A Rasch model approach," Social Science & Medicine, Elsevier, vol. 70(10), pages 1574-1580, May.
    • Handle: RePEc:eee:socmed:v:70:y:2010:i:10:p:1574-1580
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    1. Variyam, Jayachandran N. & Blaylock, James, 1998. "Unlocking the Mystery Between Nutrition Knowledge and Diet Quality," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 21(2), pages 1-8.
    2. Putnam, Judy & Allshouse, Jane & Kantor, Linda Scott, 2002. "U.S. Per Capita Food Supply Trends: More Calories, Refined Carbohydrates, and Fats," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(3), pages 1-14.
    3. Biing-Hwan Lin & Steven Yen, 2008. "Consumer knowledge, food label use and grain consumption in the US," Applied Economics, Taylor & Francis Journals, vol. 40(4), pages 437-448.
    4. C. S. Srinivasan, 2007. "Food consumption impacts of adherence to dietary norms in the United States: a quantitative assessment," Agricultural Economics, International Association of Agricultural Economists, vol. 37(2‐3), pages 249-256, September.
    5. Roos, Eva & Lahelma, Eero & Virtanen, Mikko & Prättälä, Ritva & Pietinen, Pirjo, 1998. "Gender, socioeconomic status and family status as determinants of food behaviour," Social Science & Medicine, Elsevier, vol. 46(12), pages 1519-1529, June.
    6. Blaylock, James & Smallwood, David & Kassel, Kathleen & Variyam, Jay & Aldrich, Lorna, 1999. "Economics, food choices, and nutrition," Food Policy, Elsevier, vol. 24(2-3), pages 269-286, May.
    7. Pollard, C. & Miller, M. & Woodman, R.J. & Meng, R. & Binns, C., 2009. "Changes in knowledge, beliefs, and behaviors related to fruit and vegetable consumption among Western Australian adults from 1995 to 2004," American Journal of Public Health, American Public Health Association, vol. 99(2), pages 355-361.
    8. Sean B. Cash & Ellen W. Goddard & Mel Lerohl, 2006. "Canadian Health and Food: The Links between Policy, Consumers, and Industry," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 54(4), pages 605-629, December.
    9. Yen, Steven T. & Lin, Biing-Hwan & Davis, Christopher G., 2008. "Consumer knowledge and meat consumption at home and away from home," Food Policy, Elsevier, vol. 33(6), pages 631-639, December.
    10. Mancino, Lisa & Kuchler, Fred & Leibtag, Ephraim, 2008. "Getting consumers to eat more whole-grains: The role of policy, information, and food manufacturers," Food Policy, Elsevier, vol. 33(6), pages 489-496, December.
    11. Miljkovic, Dragan & Nganje, William & de Chastenet, Helene, 2008. "Economic factors affecting the increase in obesity in the United States: Differential response to price," Food Policy, Elsevier, vol. 33(1), pages 48-60, February.
    12. Stavroula Malla & Jill E. Hobbs & Orsolya Perger, 2007. "Valuing the Health Benefits of a Novel Functional Food," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 55(1), pages 115-136, March.
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