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This study aimed to investigate the relationship between daytime sleepiness and mortality risk among older adults. The moderating effects of sex and physical function were examined. This 9-year follow-up study was conducted with community-dwelling individuals aged ≥65 years. Daytime sleepiness was evaluated using the Epworth Sleepiness Scale (ESS). Exploratory factor analysis (EFA) was used to examine the ESS factors. Handgrip strength was measured to assess physical function, and the highest quartile was defined as good muscle power. Cox regression analysis was used to estimate the 9-year all-cause mortality risk. The interaction terms were examined to evaluate their moderating effect. In total, 2588 individuals participated in the study. The EFA explored two factors: the passive factor (PF) and the active factor (AF). After controlling for various covariates, the cutoff-defined daytime sleepiness (ESS≥11), total raw scores, and factor scores of the ESS all failed to predict mortality risk. The 3-way interaction terms showed statistical significance in terms of [sex × PF × muscle power (p = 0.03)] but not for [sex × AF × muscle power (p = 0.11)]. Specifically, PF predicted mortality risk in women with good muscle power (hazard ratio (HR): 1.48; 95 % confidence interval (CI): 1.04–2.10), which is female-specific. In contrast, AF predicted mortality risk only in men with good muscle power (HR: 1.35; 95 % CI: 1.02–1.78). The ESS-measured daytime sleepiness in older adults is multidimensional. The mortality risk for each dimension was determined based on sex and physical function. • The Epworth Sleepiness Scale (ESS) had dual construct in older adults. • Sex- and muscle power modified mortality risk conferred from daytime sleepiness. • Dimensions of the ESS conferred sex-specific mortality risk. [ABSTRACT FROM AUTHOR]

Background Co-occurring insomnia and daytime sleepiness has an undetermined clinical significance in older adults. We aimed to investigate the relationship between various combinations of insomnia and daytime sleepiness with mortality risk in community-dwelling older adults. The moderation effect of sex was also assessed. Methods We conducted this follow-up study including community-dwelling adults aged ≥65 in Yilan City, Taiwan. Daytime sleepiness was defined as scoring ≥11 on the Epworth Sleepiness Scale. Insomnia was defined as scores ≥5 on the Athens Insomnia Scale-5. Four phenotypes were defined based on the presence of insomnia or daytime sleepiness. The 9-year mortality risks for various phenotypic combinations were estimated using Cox regression analysis. Sex-specific risks were examined using an interaction term. Results In total, 2 702 older adults participated in the study, and 59.1% were women. The total 9-year mortality rate was 27.5%. After adjusting for all covariates, compared with those without insomnia or daytime sleepiness, the phenotype of co-occurring insomnia with daytime sleepiness predicted higher mortality risk (hazard ratio [HR]: 1.76, confidence interval [CI]: 1.20–2.58). In contrast, insomnia and daytime sleepiness alone did not correlate with higher mortality. The interaction between sex with co-occurring insomnia and daytime sleepiness was significant (p =.01). When stratifying by sex, the association between co-occurring insomnia and daytime sleepiness with higher mortality risk was male-specific (HR: 3.07, CI: 1.87–5.04). Conclusions Concurrence of insomnia and daytime sleepiness indicates a toxic phenotypic combination in older adults, particularly in men. Precise public health and preventive medicine can be implemented through geriatric sleep medicine. [ABSTRACT FROM AUTHOR]

• In this study, excessive daytime sleepiness (EDS) correlated with unfavorable health-related quality of life (HRQoL). • EDS was associated with an unfavorable mental component of HRQoL. • A link between EDS and an unfavorable physical component of HRQoL was found only for men. The association between excessive daytime sleepiness and health-related quality of life among older adults and at-risk individuals remains unclear. This study examined relationships between excessive daytime sleepiness and unfavorable health-related quality of life and explored the moderating effect of sex. This was a community-based study of adults aged 65 years or more. Excessive daytime sleepiness was defined as a score exceeding 10 on the Epworth Sleepiness Scale. Multiple logistic regression analyses were used to examine the relationships between excessive daytime sleepiness and health-related quality of life. The moderating effect of sex was examined by testing interaction terms. Health-related quality of life was measured using the Short Form 12 Health Survey, which includes a physical component summary and a mental component summary. Unfavorable health-related quality of life was defined as the lowest tertile of the scores for both components. In total, 3788 individuals participated. After controlling for covariates, older adults with excessive daytime sleepiness did not have an unfavorable physical component summary but were more likely to have an unfavorable mental component summary (odds ratio 1.96; 95 % confidence interval 1.47–2.61). When stratified by sex, excessive daytime sleepiness was associated with a poor physical component summary in men (odds ratio 1.77, 95 % confidence interval 1.00–3.13) but not in women. Excessive daytime sleepiness was associated with a poor mental component summary in both sexes; however, the association with a poor physical component summary was specific to men. [ABSTRACT FROM AUTHOR]

Objectives: Given the close relationship between sleep-wake disturbances and depression, an in-depth investigation of such a relationship is imperative. The present study aims at elucidating the relationship between various sleep-wake disturbances and depression in older adults and at examining the influence of co-occurring anxiety on such associations. Method: A community-based survey using the cohort from the Yilan Study in Taiwan was conducted from August 2013 to November 2016. Adults aged 65 and older were randomly selected to participate in the study. The Hospital Depression and Anxiety Scale was used to measure clinical depressive and anxiety symptoms. Insomnia and daytime sleepiness were defined through the Athens Insomnia Scale and the Epworth Sleepiness Scale, respectively. Furthermore, the use of hypnotics, subjective sleep duration and sleep-wake scheduling were evaluated. Their relationship with depression was examined through logistic regression analyses. Results: There were 2620 participants surveyed and 247 (9.4%) had depression. Before controlling for anxiety, insomnia (OR: 1.78, 95% CI: 1.23-2.55), daytime sleepiness (OR: 1.79, 95% CI: 1.27-2.53), and long sleepers (OR: 1.77, 95% CI: 1.24-2.53) have a higher likelihood for depression in the multivariable regression analysis. However, when including anxiety into the multivariable regression model, only those with daytime sleepiness and long sleepers had an elevated risk for depression. Therefore, the association between insomnia and depression turned to be statistically non-significant. Conclusion: In older adults, various sleep-wake disturbances differ in their relationship with depression. In addition, daytime sleepiness and long sleep duration were mostly characteristic of depression when co-occurring anxiety was considered. [ABSTRACT FROM AUTHOR]