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Ten-Year Stability of an Insomnia Sleeper Phenotype and Its Association With Chronic Conditions

失眠症 联想(心理学) 慢性失眠 表型 医学 精神科 心理学 内科学 生物 遗传学 心理治疗师 睡眠障碍 基因
作者
Soomi Lee,Claire E. Smith,Meredith L. Wallace,Orfeu M. Buxton,David M. Almeida,Sanjay R. Patel,Ross Andel
出处
期刊:Psychosomatic Medicine [Ovid Technologies (Wolters Kluwer)]
被引量:2
标识
DOI:10.1097/psy.0000000000001288
摘要

Abstract Objective To identify distinct sleep health phenotypes in adults, examine transitions in sleep health phenotypes over time and subsequently relate these to the risk of chronic conditions. Methods A national sample of adults from the Midlife in the United States study ( N = 3,683) provided longitudinal data with two timepoints (T1:2004-2006, T2:2013-2017). Participants self-reported on sleep health (regularity, satisfaction, alertness, efficiency, duration) and the number and type of chronic conditions. Covariates included age, sex, race, education, education, partnered status, number of children, work status, smoking, alcohol, and physical activity. Results Latent transition analysis identified four sleep health phenotypes across both timepoints: good sleepers , insomnia sleepers , weekend catch-up sleepers , and nappers . Between T1 to T2, the majority (77%) maintained their phenotype, with the nappers and insomnia sleepers being the most stable. In fully adjusted models with good sleepers at both timepoints as the reference, being an insomnia sleeper at either timepoint was related to having an increased number of total chronic conditions by 28-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both timepoints were at 72-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any timepoint related to increased risks for diabetes, cancer, and frailty. Being a weekend catch-up sleeper was not associated with chronic conditions. Those with lower education and unemployed were more likely to be insomnia sleepers ; older adults and retirees were more likely to be nappers . Conclusion Findings indicate heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.
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