TY - JOUR
T1 - Sleep health and predicted cardiometabolic risk scores in employed adults from two industries
AU - Buxton, Orfeu M.
AU - Lee, Soomi
AU - Marino, Miguel
AU - Beverly, Chloe
AU - Almeida, David M.
AU - Berkman, Lisa
N1 - Funding Information:
All authors have reviewed and approved this manuscript. This research was conducted as part of the Work, Family, and Health Network (www. WorkFamilyHealthNetwork.org), which is funded by a cooperative agreement through the National Institutes of Health and the Centers for Disease Control and Prevention: Eunice Kennedy Shriver National Institute of Child Health and Human Development (U01HD051217, U01HD051218, U01HD051256, U01HD051276), National Institute on Aging (U01AG027669), Office of Behavioral and Social Sciences Research, and National Institute for Occupational Safety and Health (U01OH008788, U01HD059773). Grants from the National Heart, Lung and Blood Institute (R01HL107240), the William T. Grant Foundation, Alfred P Sloan Foundation, and the Administration for Children and Families provided additional funding. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official views of these institutes and offices. The authors report no financial conflicts of interest. Outside of the current study, Dr. Buxton received subcontracts to Penn State from Mobile Sleep Technologies (National Science Foundation #1622766, National Institutes of Health R43AG056250).
Publisher Copyright:
© 2018 American Academy of Sleep Medicine. All rights reserved.
PY - 2018/3/15
Y1 - 2018/3/15
N2 - Sleep disorders and sleep deficiency can increase the risk for cardiovascular disease. Less is known about whether multiple positive attributes of sleep health known as the SATED (satisfaction, alertness, timing, efficiency, and duration) model, can decrease future cardiovascular disease risks. We examined whether and how a variety of indicators of sleep health predicted 10-year estimated cardiometabolic risk scores (CRS) among employed adults. Methods: Workers in two industriesi extended care (n = 1,275) and information technology (IT; n = 577)reported on habitual sleep apnea symptoms and sleep sufficiency, and provided 1 week of actigraphy data including nighttime sleep duration, wake after sleep onset (WASO), sleep timing, and daytime napping. Workers also provided biomarkers to calculate future cardiometabolic risk. Results: More sleep apnea symptoms predicted higher CRS in both industries. More sleep sufficiency, less WASO, and less daytime napping (having no naps, fewer naps, and shorter nap duration) were also linked to lower CRS, but only in the extended care workers. There was no effect of sleep duration in both industries. In the IT employee sample, shorter sleep duration (≤6 hours versus 6C8 hours) and more naps strengthened the link between sleep apnea and CRS. Conclusions: Sleep health, measured by both subjective and objective methods, was associated with lower cardiometabolic disease risks among extended care workers (lower to middle wage workers). Sleep apnea was an important predictor of CRS; for the IT workers, the link between sleep apnea and CRS was exacerbated when they had poorer sleep health behaviors.
AB - Sleep disorders and sleep deficiency can increase the risk for cardiovascular disease. Less is known about whether multiple positive attributes of sleep health known as the SATED (satisfaction, alertness, timing, efficiency, and duration) model, can decrease future cardiovascular disease risks. We examined whether and how a variety of indicators of sleep health predicted 10-year estimated cardiometabolic risk scores (CRS) among employed adults. Methods: Workers in two industriesi extended care (n = 1,275) and information technology (IT; n = 577)reported on habitual sleep apnea symptoms and sleep sufficiency, and provided 1 week of actigraphy data including nighttime sleep duration, wake after sleep onset (WASO), sleep timing, and daytime napping. Workers also provided biomarkers to calculate future cardiometabolic risk. Results: More sleep apnea symptoms predicted higher CRS in both industries. More sleep sufficiency, less WASO, and less daytime napping (having no naps, fewer naps, and shorter nap duration) were also linked to lower CRS, but only in the extended care workers. There was no effect of sleep duration in both industries. In the IT employee sample, shorter sleep duration (≤6 hours versus 6C8 hours) and more naps strengthened the link between sleep apnea and CRS. Conclusions: Sleep health, measured by both subjective and objective methods, was associated with lower cardiometabolic disease risks among extended care workers (lower to middle wage workers). Sleep apnea was an important predictor of CRS; for the IT workers, the link between sleep apnea and CRS was exacerbated when they had poorer sleep health behaviors.
KW - Actigraphy
KW - Cardiometabolic Risks
KW - Employees
KW - Sleep Apnea
KW - Sleep Health
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U2 - 10.5664/jcsm.6980
DO - 10.5664/jcsm.6980
M3 - Article
C2 - 29458700
AN - SCOPUS:85044402415
SN - 1550-9389
VL - 14
SP - 371
EP - 383
JO - Journal of Clinical Sleep Medicine
JF - Journal of Clinical Sleep Medicine
IS - 3
ER -