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Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach

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  • Scharoun-Lee, Melissa
  • Adair, Linda S.
  • Kaufman, Jay S.
  • Gordon-Larsen, Penny

Abstract

Racial/ethnic disparities in obesity widen dramatically during young adulthood in the US. Understanding racial/ethnic differences in the association between socioeconomic status (SES) and obesity can provide insight on these disparities. However, the delay and complexity of the transition to adulthood create challenges for defining SES using traditional, single indicators, such as income or years of education. Our objective was to define a multidimensional measure of young adult SES using exploratory factor analysis and to investigate whether distinct SES dimensions differentially predicted obesity across race/ethnicity in 11,250 young adults (mean age = 21.9 years) from the National Longitudinal Study of Adolescent Health (Wave III: 2000-2001). Four factors (social advantage; schooling; employment; and economic hardship) extracted from a principal factor analysis on 38 SES indicators comprised our multidimensional measure of young adult SES. The respondents' scores on each factor were entered into gender-stratified Poisson regression models to estimate the relative risk of young adult obesity for a contrast of approximately one standard deviation in score. The association of the "Social advantage" and "Economic hardship" factors with obesity differed by race/ethnicity (pÂ

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  • Scharoun-Lee, Melissa & Adair, Linda S. & Kaufman, Jay S. & Gordon-Larsen, Penny, 2009. "Obesity, race/ethnicity and the multiple dimensions of socioeconomic status during the transition to adulthood: A factor analysis approach," Social Science & Medicine, Elsevier, vol. 68(4), pages 708-716, February.
    • Handle: RePEc:eee:socmed:v:68:y:2009:i:4:p:708-716
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    1. Melissa Scharoun-Lee & Penny Gordon-Larsen & Linda Adair & Barry Popkin & Jay Kaufman & Chirayath Suchindran, 2011. "Intergenerational Profiles of Socioeconomic (Dis)advantage and Obesity During the Transition to Adulthood," Demography, Springer;Population Association of America (PAA), vol. 48(2), pages 625-651, May.
    2. Agovino, Massimiliano & Crociata, Alessandro & Sacco, Pier Luigi, 2019. "Proximity effects in obesity rates in the US: A Spatial Markov Chains approach," Social Science & Medicine, Elsevier, vol. 220(C), pages 301-311.
    3. Yuval Arbel & Chaim Fialkoff & Amichai Kerner, 2020. "The Chicken and Egg Problem: Obesity and the Urban Monocentric Model," The Journal of Real Estate Finance and Economics, Springer, vol. 61(4), pages 576-606, November.
    4. Brañas-Garza, Pablo & Espín, Antonio M. & Lenkei, Balint, 2015. "BMI is not related to altruism, fairness, trust or reciprocity: Experimental evidence from the field and the lab," MPRA Paper 68184, University Library of Munich, Germany.
    5. Shaobo Jin & Fan Yang-Wallentin, 2017. "Asymptotic Robustness Study of the Polychoric Correlation Estimation," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 67-85, March.
    6. Lisa Stolzenberg & Stewart J. D’Alessio & Jamie L. Flexon, 2019. "The Impact of Violent Crime on Obesity," Social Sciences, MDPI, vol. 8(12), pages 1-12, December.

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