The association between socioeconomic status and adult fast-food consumption in the U.S.

作者: Jay L. Zagorsky , Patricia K. Smith

DOI: 10.1016/J.EHB.2017.04.004

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摘要: Health follows a socioeconomic status (SES) gradient in developed countries, with disease prevalence falling as SES rises. This pattern is partially attributed to differences nutritional intake, the poor eating least healthy diets. paper examines whether there an one specific aspect of nutrition: fast-food consumption. Fast food generally high calories and low nutrients. We use data from 2008, 2010, 2012 waves National Longitudinal Survey Youth (NLSY79) test adult consumption United States falls monetary resources rise (n=8136). research uses more recent than previous studies includes comprehensive measure wealth addition income SES. find little evidence respect wealth. While adults highest quintile are 54.5% less likely report those lowest quintile, second third quintiles no fast food-food intake poorest. Contrary popular belief, rises middle quintiles. The variation across groups is, however, small. Those wealthiest ate about meal on average quintile. Other factors play bigger role explaining consumption: reading ingredient labels negatively associated while soda hours work positively

参考文章(73)
R Bethene Ervin, Cheryl D Fryer, Caloric intake from fast food among adults: United States, 2007-2010. NCHS data brief. pp. 1- 8 ,(2013)
Mark D. Jekanowski, James K. Binkley, James S. Eales, CONVENIENCE, ACCESSIBILITY, AND THE DEMAND FOR FAST FOOD Journal of Agricultural and Resource Economics. ,vol. 26, pp. 58- 74 ,(2001) , 10.22004/AG.ECON.31162
Matthias Klaes, Nick Wilkinson, An Introduction to Behavioral Economics ,(2007)
S. E. Fleischhacker, K. R. Evenson, D. A. Rodriguez, A. S. Ammerman, A systematic review of fast food access studies Obesity Reviews. ,vol. 12, ,(2011) , 10.1111/J.1467-789X.2010.00715.X
JA Rivera, K Reddy, J Seidell, S Kumanyika, J Chen, T Atinmo, A Schatzkin, J Mann, W James, T Hirohata, C Leitzmann, L Kolonel, H Powers, D Shuker, E Riboli, R Uauy, W Willett, T Byers, S Zeisel, A Jackson, M Marmot, Food, Nutrition, Physical Activity, and the Prevention of Cancer: a Global Perspective (WCRF/AICR Expert Report ). World Cancer Research Fund / American Institute for Cancer Research: Washington DC, US.. ,(2007)
Susan Elizabeth Chen, Raymond J. Florax, Samantha D. Snyder, Obesity and fast food in urban markets: a new approach using geo-referenced micro data. Health Economics. ,vol. 22, pp. 835- 856 ,(2013) , 10.1002/HEC.2863
Nicole Darmon, Adam Drewnowski, Does social class predict diet quality The American Journal of Clinical Nutrition. ,vol. 87, pp. 1107- 1117 ,(2008) , 10.1093/AJCN/87.5.1107
Maike K. Kahr, Melissa A. Suter, Jerasimos Ballas, Susan M. Ramin, Manju Monga, Wesley Lee, Min Hu, Cindy D. Shope, Arina Chesnokova, Laura Krannich, Emily N. Griffin, Joan Mastrobattista, Gary A. Dildy, Stacy L. Strehlow, Ryan Ramphul, Winifred J. Hamilton, Kjersti M. Aagaard, Geospatial analysis of food environment demonstrates associations with gestational diabetes American Journal of Obstetrics and Gynecology. ,vol. 214, ,(2016) , 10.1016/J.AJOG.2015.08.048
A. M. Prentice, S. A. Jebb, Fast foods, energy density and obesity: a possible mechanistic link. Obesity Reviews. ,vol. 4, pp. 187- 194 ,(2003) , 10.1046/J.1467-789X.2003.00117.X