Ten-Year Stability of an Insomnia Sleeper Phenotype and Its Association With Chronic Conditions
Jazyk angličtina Země Spojené státy americké Médium print-electronic
Typ dokumentu časopisecké články, Research Support, N.I.H., Extramural
Grantová podpora
U01 AG077928
NIA NIH HHS - United States
RF1 AG056331
NIA NIH HHS - United States
R43 AG056250
NIA NIH HHS - United States
R56 AG065251
NIA NIH HHS - United States
R01 HL163226
NHLBI NIH HHS - United States
P01 AG020166
NIA NIH HHS - United States
U19 AG051426
NIA NIH HHS - United States
T42 OH008438
NIOSH CDC HHS - United States
R44 AG056250
NIA NIH HHS - United States
PubMed
38436651
PubMed Central
PMC11081817
DOI
10.1097/psy.0000000000001288
PII: 00006842-202405000-00011
Knihovny.cz E-zdroje
- MeSH
- chronická nemoc MeSH
- dospělí MeSH
- fenotyp * MeSH
- lidé středního věku MeSH
- lidé MeSH
- longitudinální studie MeSH
- poruchy iniciace a udržování spánku * epidemiologie MeSH
- senioři MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Spojené státy americké epidemiologie MeSH
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 = 3683) provided longitudinal data with two time points (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 time points: good sleepers, insomnia sleepers, weekend catch-up sleepers, and nappers. Between T1 and 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 time points as the reference, being an insomnia sleeper at either time point was related to having an increased number of total chronic conditions by 28%-81% at T2, adjusting for T1 conditions. Insomnia sleepers at both time points were at 72%-188% higher risk for cardiovascular disease, diabetes, depression, and frailty. Being a napper at any time point 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 a heightened risk of chronic conditions involved in suboptimal sleep health phenotypes, mainly insomnia sleepers.
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