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Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors

Author

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  • Powell, Lisa M.
  • Wada, Roy
  • Krauss, Ramona C.
  • Wang, Youfa

Abstract

This paper examined the importance of household and economic contextual factors as determinants of ethnic disparities in adolescent body mass index (BMI). Individual-level data from the National Longitudinal Survey of Youth 1997 for the years 1997 through 2000 were combined with economic contextual data on food prices, outlet density and median household income. The Oaxaca–Blinder decomposition method was used to examine the factors that could help explain ethnic disparities in BMI. Ethnic differences in household demographic, parental socioeconomic status (SES), and economic contextual factors explained the majority of the male black–white (63%), male Hispanic–white (78%) and female Hispanic–white (62%) BMI gaps but less than one-half of the female black–white BMI gap (44%). We found that adding the economic contextual factors increased the explained portion of the ethnic BMI gap for both female and male adolescents: the economic contextual factors explained 28% and 38% of the black–white and Hispanic–white BMI gaps for males and 13% and 8% of the black–white and Hispanic–white BMI gaps for females, respectively. Parental SES was more important in explaining the Hispanic–white BMI gap than the black–white BMI gap for both genders, whereas neighborhood economic contextual factors were more important in explaining the male BMI gap than the female BMI gap for both black–white and Hispanic–white ethnic disparities. A significantly large portion of the ethnic BMI gap, however, remained unexplained between black and white female adolescents.

Suggested Citation

  • Powell, Lisa M. & Wada, Roy & Krauss, Ramona C. & Wang, Youfa, 2012. "Ethnic disparities in adolescent body mass index in the United States: The role of parental socioeconomic status and economic contextual factors," Social Science & Medicine, Elsevier, vol. 75(3), pages 469-476.
  • Handle: RePEc:eee:socmed:v:75:y:2012:i:3:p:469-476
    DOI: 10.1016/j.socscimed.2012.03.019
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    References listed on IDEAS

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    1. Robert, Stephanie A. & Reither, Eric N., 2004. "A multilevel analysis of race, community disadvantage, and body mass index among adults in the US," Social Science & Medicine, Elsevier, vol. 59(12), pages 2421-2434, December.
    2. Powell, Lisa M., 2009. "Fast food costs and adolescent body mass index: Evidence from panel data," Journal of Health Economics, Elsevier, vol. 28(5), pages 963-970, September.
    3. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2011. "Robust Inference With Multiway Clustering," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 29(2), pages 238-249, April.
    4. Do, D. Phuong & Dubowitz, Tamara & Bird, Chloe E. & Lurie, Nicole & Escarce, Jose J. & Finch, Brian K., 2007. "Neighborhood context and ethnicity differences in body mass index: A multilevel analysis using the NHANES III survey (1988-1994)," Economics & Human Biology, Elsevier, vol. 5(2), pages 179-203, July.
    5. Shin-Yi Chou & Inas Rashad & Michael Grossman, 2008. "Fast-Food Restaurant Advertising on Television and Its Influence on Childhood Obesity," Journal of Law and Economics, University of Chicago Press, vol. 51(4), pages 599-618, November.
    6. Oaxaca, Ronald, 1973. "Male-Female Wage Differentials in Urban Labor Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 14(3), pages 693-709, October.
    7. Lisa M. Powell & Frank J. Chaloupka, 2011. "Economic Contextual Factors and Child Body Mass Index," NBER Chapters,in: Economic Aspects of Obesity, pages 127-144 National Bureau of Economic Research, Inc.
    8. Chung, Woojin & Lim, Seungji & Lee, Sunmi, 2010. "Factors influencing gender differences in smoking and their separate contributions: Evidence from South Korea," Social Science & Medicine, Elsevier, vol. 70(12), pages 1966-1973, June.
    9. M. Christopher Auld & Lisa M. Powell, 2009. "Economics of Food Energy Density and Adolescent Body Weight," Economica, London School of Economics and Political Science, vol. 76(304), pages 719-740, October.
    10. repec:aph:ajpbhl:10.2105/ajph.2005.065573_5 is not listed on IDEAS
    11. Chou, Shin-Yi & Grossman, Michael & Saffer, Henry, 2004. "An economic analysis of adult obesity: results from the Behavioral Risk Factor Surveillance System," Journal of Health Economics, Elsevier, vol. 23(3), pages 565-587, May.
    12. Font, Joan Costa & Fabbri, Daniele & Gil, Joan, 2010. "Decomposing cross-country differences in levels of obesity and overweight: Does the social environment matter?," Social Science & Medicine, Elsevier, vol. 70(8), pages 1185-1193, April.
    13. Gordon-Larsen, Penny & Harris, Kathleen Mullan & Ward, Dianne S. & Popkin, Barry M., 2003. "Acculturation and overweight-related behaviors among Hispanic immigrants to the US: the National Longitudinal Study of Adolescent Health," Social Science & Medicine, Elsevier, vol. 57(11), pages 2023-2034, December.
    14. David Neumark, 1988. "Employers' Discriminatory Behavior and the Estimation of Wage Discrimination," Journal of Human Resources, University of Wisconsin Press, vol. 23(3), pages 279-295.
    15. Euna Han & Edward C. Norton & Sally C. Stearns, 2009. "Weight and wages: fat versus lean paychecks," Health Economics, John Wiley & Sons, Ltd., vol. 18(5), pages 535-548.
    16. Bisakha Sen & Stephen Mennemeyer & Lisa C. Gary, 2011. "The Relationship between Perceptions of Neighborhood Characteristics and Obesity among Children," NBER Chapters,in: Economic Aspects of Obesity, pages 145-180 National Bureau of Economic Research, Inc.
    17. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
    18. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
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    Cited by:

    1. Amin, Vikesh & Lhila, Aparna, 2016. "Decomposing racial differences in adolescent smoking in the U.S," Economics & Human Biology, Elsevier, vol. 22(C), pages 161-176.
    2. Wada, Roy & Han, Euna & Powell, Lisa M., 2015. "Associations between soda prices and intake: Evidence from 24-h dietary recall data," Food Policy, Elsevier, vol. 55(C), pages 54-60.
    3. repec:bpj:bejeap:v:17:y:2017:i:2:p:37:n:5 is not listed on IDEAS
    4. Jinkook Lee & McGovern, Mark E. & David E. Bloom & P. Arokiasamy & Arun Risbud & Jennifer O?Brien & Varsha Kale & Peifeng Hu, 2015. "Education, Gender, and State-Level Gradients in the Health of Older Indians: Evidence from Biomarker Data," Working Paper 228841, Harvard University OpenScholar.
    5. Lee, Jinkook & McGovern, Mark E. & Bloom, David E. & Arokiasamy, P. & Risbud, Arun & O’Brien, Jennifer & Kale, Varsha & Hu, Peifeng, 2015. "Education, gender, and state-level disparities in the health of older Indians: Evidence from biomarker data," Economics & Human Biology, Elsevier, vol. 19(C), pages 145-156.

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