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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

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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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    Cited by:

    1. 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.
    2. Michal Brzezinski, 2018. "What accounts for the rise of low self-rated health during the recent economic crisis in Europe?," Working Papers 2018-16, Faculty of Economic Sciences, University of Warsaw.
    3. 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.
    4. 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.
    5. Maclean Johanna Catherine & Hill Terrence D., 2017. "Economic Conditions at School Leaving and Sleep Patterns Across the Life Course," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 17(2), pages 1-37, April.
    6. 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.

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