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Childhood overweight in the United States: A quantile regression approach

  • Stifel, David C.
  • Averett, Susan L.

The prevalence of overweight children in the United States has increased dramatically over the past two decades, and is creating well-known public health problems. Moreover, there is also evidence that children who are not overweight are becoming heavier. We use quantile regression models along with standard ordinary least squares (OLS) models to explore the correlates of childhood weight status and overweight as measured by the Body Mass Index (BMI). This approach allows the effects of covariates to vary depending on where in the BMI distribution a child is located. Our results indicate that OLS masks some of the important correlates of child BMI at the upper and lower tails of the weight distribution. For example, mother's education has no effect on black children, but is associated with improvements in BMI for overweight white boys and underweight white girls. Conversely, mother's cognitive aptitude has no effect on white boys, but is associated with BMI improvements for underweight black children and overweight white girls. Further, we find that underweight white children and black girls experience similar improvements in BMI as they get older, but that for black boys there is little if any association between age and BMI anywhere in the BMI distribution.

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Article provided by Elsevier in its journal Economics & Human Biology.

Volume (Year): 7 (2009)
Issue (Month): 3 (December)
Pages: 387-397

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Handle: RePEc:eee:ehbiol:v:7:y:2009:i:3:p:387-397
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/622964

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  1. Dean Jolliffe, 2004. "Continuous and robust measures of the overweight epidemic: 1971–2000," Demography, Springer, vol. 41(2), pages 303-314, May.
  2. David Cutler & Edward Glaeser & Jesse Shapiro, 2003. "Why Have Americans Become More Obese?," NBER Working Papers 9446, National Bureau of Economic Research, Inc.
  3. Komlos, John & Baur, Marieluise, 2004. "From the tallest to (one of) the fattest: the enigmatic fate of the American population in the 20th century," Economics & Human Biology, Elsevier, vol. 2(1), pages 57-74, March.
  4. Patricia M. Anderson & Kristin F. Butcher & Diane Whitemore Schanzenbach, 2007. "Childhood Disadvantage and Obesity: Is Nurture Trumping Nature?," NBER Chapters, in: The Problems of Disadvantaged Youth: An Economic Perspective, pages 149-180 National Bureau of Economic Research, Inc.
  5. Shin-Yi Chou & Michael Grossman & Henry Saffer, 2002. "An Economic Analysis of Adult Obesity: Results from the Behavioral Risk Factor Surveillance System," NBER Working Papers 9247, National Bureau of Economic Research, Inc.
  6. Anderson, Patricia M. & Butcher, Kristin F. & Levine, Phillip B., 2003. "Maternal employment and overweight children," Journal of Health Economics, Elsevier, vol. 22(3), pages 477-504, May.
  7. Foster, James & Greer, Joel & Thorbecke, Erik, 1984. "A Class of Decomposable Poverty Measures," Econometrica, Econometric Society, vol. 52(3), pages 761-66, May.
  8. Baum II, Charles L. & Ruhm, Christopher J., 2009. "Age, socioeconomic status and obesity growth," Journal of Health Economics, Elsevier, vol. 28(3), pages 635-648, May.
  9. John Komlos & Ariane Breitfelder & Marco Sunder, 2008. "The Transition to Post-industrial BMI Values Among US Children," NBER Working Papers 13898, National Bureau of Economic Research, Inc.
  10. Bhattacharya, Jayanta & Currie, Janet & Haider, Steven, 2004. "Poverty, food insecurity, and nutritional outcomes in children and adults," Journal of Health Economics, Elsevier, vol. 23(4), pages 839-862, July.
  11. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
  12. David E. Sahn & David C. Stifel, 2002. "Robust Comparisons of Malnutrition in Developing Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(3), pages 716-735.
  13. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-43, September.
  14. Patricia M. Anderson & Kristin F. Butcher & Phillip B. Levine, 2003. "Economic perspectives on childhood obesity," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 30-48.
  15. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
  16. Ronald G. Ehrenberg, 2002. "Studying Ourselves: The Academic Labor Market," NBER Working Papers 8965, National Bureau of Economic Research, Inc.
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