Which Sleep Health Characteristics Predict All-Cause Mortality in Older Men? An Application of Flexible Multivariable Approaches

Sleep

Stone, Katie^2,3¹  Smagula, Stephen F^1²  Hall, Martica H^1³  Wallace, Meredith L^1⁴  Simsek, Burcin^1⁵  Kado, Deborah M^4⁶ 

[1] California Pacific Medical Center, Research Institute, San Francisco, CA^2;Department of Epidemiology and Biostatistics, University of California, San Francisco, CA^3;Department of Family Medicine &, Public Health, University of California, La Jolla, San Diego, CA^4;Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA^1;Departments of Medicine, Brigham and Women’s Hospital and Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA^5;Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN^6

关键词: sleep health;    circadian rhythm;    multivariable analyses;    mortality;    men;    late-life;    survival tree;    random survival forest;   

DOI  :  10.1093/sleep/zsx189

学科分类：生理学

来源: American Academy of Sleep Medicine

【 摘 要 】

Study ObjectivesSleep is multidimensional, with domains including duration, timing, continuity, regularity, rhythmicity, quality, and sleepiness/alertness. Individual sleep characteristics representing these domains are known to predict health outcomes. However, most studies consider sleep characteristics in isolation, resulting in an incomplete understanding of which sleep characteristics are the strongest predictors of health outcomes. We applied three multivariable approaches to robustly determine which sleep characteristics increase mortality risk in the osteoporotic fractures in men sleep study.

【 授权许可】

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