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Impact of socioeconomic status on longitudinal accumulation of cardiovascular risk in young adults: the CARDIA Study (USA)

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  • Karlamangla, Arun S.
  • Singer, Burton H.
  • Williams, David R.
  • Schwartz, Joseph E.
  • Matthews, Karen A.
  • Kiefe, Catarina I.
  • Seeman, Teresa E.

Abstract

Our objectives were to describe the trajectories of biological risk factors of cardiovascular disease in young adults, and to study the association of socioeconomic status (SES) with aggregate risk scores that summarize longitudinal risk accumulation from multiple risk factors. We used data from a prospective, bi-racial, cohort study of 18-30-year-old adults in the USA, initiated in 1985, with 10-year follow-up. SES was measured by parental education level, financial hardship during the study, and the participant's education level by the end of the study. We studied growth patterns of seven biological risk factors for cardiovascular disease using a semi-parametric, class-mixture model to identify clusters of individuals with distinct growth trajectories. Risk scores that summarize risk from all seven risk factors were created to reflect risk at baseline, longitudinal risk change over 10 years, and total accumulated risk. Multivariable regression was used to study their associations with SES within each race/gender group. We found tracking of all seven risk factors: in each case, the cluster with the highest baseline value maintained its position as the highest-risk cluster over the next 10 years. After adjustment for age, lifestyle, and healthcare access, SES was associated inversely with baseline risk score in women (black and white), with risk change score in all four race/gender groups, and with accumulated risk score in women (black and white) and in white men. Our findings suggest that individuals with high overall cardiovascular risk in midlife can be identified by their relatively higher values of risk factors in younger ages and that socioeconomic differences in cardiovascular risk start accumulating early in life.

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  • Karlamangla, Arun S. & Singer, Burton H. & Williams, David R. & Schwartz, Joseph E. & Matthews, Karen A. & Kiefe, Catarina I. & Seeman, Teresa E., 2005. "Impact of socioeconomic status on longitudinal accumulation of cardiovascular risk in young adults: the CARDIA Study (USA)," Social Science & Medicine, Elsevier, vol. 60(5), pages 999-1015, March.
    • Handle: RePEc:eee:socmed:v:60:y:2005:i:5:p:999-1015
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    1. LaVeist, Thomas A. & Wallace, John M., 2000. "Health risk and inequitable distribution of liquor stores in African American neighborhood," Social Science & Medicine, Elsevier, vol. 51(4), pages 613-617, August.
    2. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    3. Freedman, D.S. & Strogatz, D.S. & Williamson, D.F. & Aubert, R.E., 1992. "Education, race, and high-density lipoprotein cholesterol among US adults," American Journal of Public Health, American Public Health Association, vol. 82(7), pages 999-1006.
    4. Bobby L. Jones & Daniel S. Nagin & Kathryn Roeder, 2001. "A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories," Sociological Methods & Research, , vol. 29(3), pages 374-393, February.
    5. Wardle, J. & Waller, J. & Jarvis, M.J., 2002. "Sex differences in the association of socioeconomic status with obesity," American Journal of Public Health, American Public Health Association, vol. 92(8), pages 1299-1304.
    6. Wing, S. & Barnett, E. & Casper, M. & Tyroler, H.A., 1992. "Geographic and socioeconomic variation in the onset of decline of coronary heart disease mortality in white women," American Journal of Public Health, American Public Health Association, vol. 82(2), pages 204-209.
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    1. Myung Ki & Yo Han Lee & Yong-Soo Kim & Ji-Yeon Shin & Jiseun Lim & James Nazroo, 2017. "Socioeconomic inequalities in health in the context of multimorbidity: A Korean panel study," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-14, March.
    2. Walsemann, Katrina M. & Goosby, Bridget J. & Farr, Deeonna, 2016. "Life course SES and cardiovascular risk: Heterogeneity across race/ethnicity and gender," Social Science & Medicine, Elsevier, vol. 152(C), pages 147-155.
    3. McDonough, Peggy & Worts, Diana & Sacker, Amanda, 2010. "Socioeconomic inequalities in health dynamics: A comparison of Britain and the United States," Social Science & Medicine, Elsevier, vol. 70(2), pages 251-260, January.
    4. Theall, Katherine P. & Brett, Zoë H. & Shirtcliff, Elizabeth A. & Dunn, Erin C. & Drury, Stacy S., 2013. "Neighborhood disorder and telomeres: Connecting children's exposure to community level stress and cellular response," Social Science & Medicine, Elsevier, vol. 85(C), pages 50-58.

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