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Sleep and Multisystem Biological Risk: A Population-Based Study

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  • Judith E Carroll
  • Michael R Irwin
  • Sharon Stein Merkin
  • Teresa E Seeman

Abstract

Background: Short sleep and poor sleep quality are associated with risk of cardiovascular disease, diabetes, cancer, and mortality. This study examines the contribution of sleep duration and sleep quality on a multisystem biological risk index that is known to be associated with morbidity and mortality. Methods: Analyses include a population-based sample from the Midlife Development in the United States survey recruited to the Biomarker substudy. A total of 1,023 participants aged 54.5 years (SD = 11.8), 56% female and 77.6% white, were included in the analyses. A multisystem biological risk index was derived from 22 biomarkers capturing cardiovascular, immune, lipid-metabolic, glucose-metabolic, sympathetic, parasympathetic, and hypothalamic-pituitary-adrenal systems. Self-reported average sleep duration was categorized as short ( 5) sleep. Findings: Linear mixed effect models adjusting for age, gender, race, education, income, BMI, and health status were performed. As compared to normal sleepers, multisystem biological risk in both short (B(SE) = .38(.15), p

Suggested Citation

  • Judith E Carroll & Michael R Irwin & Sharon Stein Merkin & Teresa E Seeman, 2015. "Sleep and Multisystem Biological Risk: A Population-Based Study," PLOS ONE, Public Library of Science, vol. 10(2), pages 1-15, February.
    • Handle: RePEc:plo:pone00:0118467
    DOI: 10.1371/journal.pone.0118467
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    References listed on IDEAS

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    1. Gruenewald, Tara L. & Karlamangla, Arun S. & Hu, Perry & Stein-Merkin, Sharon & Crandall, Carolyn & Koretz, Brandon & Seeman, Teresa E., 2012. "History of socioeconomic disadvantage and allostatic load in later life," Social Science & Medicine, Elsevier, vol. 74(1), pages 75-83.
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    1. Barboza Solís, Cristina & Fantin, Romain & Castagné, Raphaële & Lang, Thierry & Delpierre, Cyrille & Kelly-Irving, Michelle, 2016. "Mediating pathways between parental socio-economic position and allostatic load in mid-life: Findings from the 1958 British birth cohort," Social Science & Medicine, Elsevier, vol. 165(C), pages 19-27.
    2. Shawna Beese & Julie Postma & Janessa M. Graves, 2022. "Allostatic Load Measurement: A Systematic Review of Reviews, Database Inventory, and Considerations for Neighborhood Research," IJERPH, MDPI, vol. 19(24), pages 1-23, December.

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