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Life course socioeconomic adversities and 10-year risk of cardiovascular disease: cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health

Author

Listed:
  • Dayse Rodrigues Sousa Andrade

    (Universidade Federal de Minas Gerais)

  • Lidyane V. Camelo

    (Universidade Federal de Minas Gerais)

  • Rodrigo Citton P. Reis

    (Universidade Federal de Minas Gerais)

  • Itamar S. Santos

    (Universidade de São Paulo)

  • Antonio Luiz Ribeiro

    (Universidade Federal de Minas Gerais)

  • Luana Giatti

    (Universidade Federal de Minas Gerais)

  • Sandhi Maria Barreto

    (Universidade Federal de Minas Gerais)

Abstract

Objectives To investigate whether life course exposure to adverse socioeconomic positions (SEP) as well as maintaining a low SEP or decreasing the SEP intra- and intergeneration was associated with an increased 10-year cardiovascular disease (CVD) risk predicted by the Framingham Risk Score. Methods This is a cross-sectional analysis of baseline data (2008–2010) of 13,544 active workers from ELSA-Brasil cohort. Maternal education, leg length, social class of first occupation and education were used to evaluate childhood, youth and adulthood SEP. Results After considering adulthood SEP, exposure to early-life low SEP remained associated with an increased 10-year CVD risk. The 10-year CVD risk also rose as the number of exposures to low SEP throughout life increased. Compared to individuals in high-stable intragenerational trajectory, those in upward, downward, or stable low trajectory presented higher 10-year CVD risk. Increasing individuals’ SEP over generation showed no increased risk of 10-year CVD risk compared to individuals in high-stable trajectory. Conclusions Childhood may be a critical period for exposures to social adversities. Life course low SEP may also affect the 10-year CVD risk via accumulation of risk and social mobility.

Suggested Citation

  • Dayse Rodrigues Sousa Andrade & Lidyane V. Camelo & Rodrigo Citton P. Reis & Itamar S. Santos & Antonio Luiz Ribeiro & Luana Giatti & Sandhi Maria Barreto, 2017. "Life course socioeconomic adversities and 10-year risk of cardiovascular disease: cross-sectional analysis of the Brazilian Longitudinal Study of Adult Health," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 62(2), pages 283-292, March.
    • Handle: RePEc:spr:ijphth:v:62:y:2017:i:2:d:10.1007_s00038-016-0928-3
    DOI: 10.1007/s00038-016-0928-3
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    1. Maty, S.C. & James, S.A. & Kaplan, G.A., 2010. "Life-course socioeconomic position and incidence of diabetes mellitus among blacks and whites: The Alameda County Study, 1965-1999," American Journal of Public Health, American Public Health Association, vol. 100(1), pages 137-145.
    2. Silvia Stringhini & G David Batty & Pascal Bovet & Martin J Shipley & Michael G Marmot & Meena Kumari & Adam G Tabak & Mika Kivimäki, 2013. "Association of Lifecourse Socioeconomic Status with Chronic Inflammation and Type 2 Diabetes Risk: The Whitehall II Prospective Cohort Study," PLOS Medicine, Public Library of Science, vol. 10(7), pages 1-15, July.
    3. Boyle, Michael H. & Racine, Yvonne & Georgiades, Katholiki & Snelling, Dana & Hong, Sungjin & Omariba, Walter & Hurley, Patricia & Rao-Melacini, Purnima, 2006. "The influence of economic development level, household wealth and maternal education on child health in the developing world," Social Science & Medicine, Elsevier, vol. 63(8), pages 2242-2254, October.
    4. Tiikkaja, Sanna & Hemström, Örjan & Vågerö, Denny, 2009. "Intergenerational class mobility and cardiovascular mortality among Swedish women: A population-based register study," Social Science & Medicine, Elsevier, vol. 68(4), pages 733-739, February.
    5. Lawlor, D.A. & Batty, G.D. & Morton, S.M.B. & Clark, H. & Macintyre, S. & Leon, D.A., 2005. "Childhood socioeconomic position, educational attainment, and adult cardiovascular Risk Factors: The Aberdeen children of the 1950s cohort study," American Journal of Public Health, American Public Health Association, vol. 95(7), pages 1245-1251.
    6. Camelo, Lidyane V. & Giatti, Luana & Chor, Dóra & Griep, Rosane Härter & Benseñor, Isabela M. & Santos, Itamar S. & Kawachi, Ichiro & Barreto, Sandhi Maria, 2015. "Associations of life course socioeconomic position and job stress with carotid intima-media thickness. The Brazilian Longitudinal Study of Adult Health (ELSA-Brasil)," Social Science & Medicine, Elsevier, vol. 141(C), pages 91-99.
    7. Hallqvist, Johan & Lynch, John & Bartley, Mel & Lang, Thierry & Blane, David, 2004. "Can we disentangle life course processes of accumulation, critical period and social mobility? An analysis of disadvantaged socio-economic positions and myocardial infarction in the Stockholm Heart Ep," Social Science & Medicine, Elsevier, vol. 58(8), pages 1555-1562, April.
    8. The Whoqol Group, 1998. "The World Health Organization quality of life assessment (WHOQOL): Development and general psychometric properties," Social Science & Medicine, Elsevier, vol. 46(12), pages 1569-1585, June.
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