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Background: The association between sleep quality and cognition is widely established, but the role of aging in this relationship is largely unknown.
Objective: To examine how age impacts the sleep-cognition relationship and determine whether there are sensitive ranges when the relationship between sleep and cognition is modified. This investigation could help identify individuals at risk for sleep-related cognitive impairment.
Subjects: Sample included 711 individuals (ages 36.00-89.83, 59.66 ± 14.91, 55.7 % female) from the Human Connectome Project-Aging (HCP-A).
Methods: The association between sleep quality (Pittsburgh Sleep Quality Index, PSQI) and cognition (Crystallized Cognition Composite and Fluid Cognition Composite from the NIH Toolbox, the Trail Making Test, TMT, and the Rey Auditory Verbal Learning Test, RAVLT) was measured using linear regression models, with sex, race, use of sleep medication, hypertension, and years of education as covariates. The interaction between sleep and age on cognition was tested using the moderation analysis, with age as both continuous linear and nonlinear (quadratic) terms.
Results: There was a significant interaction term between the PSQI and nonlinear age term (age) on TMT-B ( = 0.02) and NIH Toolbox crystallized cognition ( = 0.02), indicating that poor sleep quality was associated with worse performance on these measures (sensitive age ranges 50-75 years for TMT-B and 66-70 years for crystallized cognition).
Conclusions: The sleep-cognition relationship may be modified by age. Individuals in the middle age to early older adulthood age band may be most vulnerable to sleep-related cognitive impairment.
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http://dx.doi.org/10.1017/S1041610223000911 | DOI Listing |
J Sleep Res
September 2025
Post-Graduate Program in Medical Sciences: Endocrinology, Federal University of Rio Grande do Sul State, UFRGS, Porto Alegre, Brazil.
This study aimed to estimate the occurrence of excessive daytime sleepiness (EDS) and its associated factors among male road transport workers. A cross-sectional study was conducted with a non-probabilistic sample of 414 drivers recruited at gas stations and parking lots in Formosa and Rio Verde, Goiás, Brazil, in 2024. The presence of EDS was evaluated using the Epworth Sleepiness Scale, and the investigated associated factors included demographic, socioeconomic, behavioural, health and professional characteristics.
View Article and Find Full Text PDFJ Dermatolog Treat
December 2025
Department of Dermatology, The Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, China.
Background: Ivarmacitinib (SHR0302), a selective Janus kinase-1 inhibitor, is a novel treatment for moderate-to-severe atopic dermatitis (AD).
Objectives: This post hoc analysis evaluated the impact of early itch relief with ivarmacitinib on quality of life (QoL), working productivity, and sleep quality in affected patients.
Methods: Data from ivarmacitinib treatment groups in a phase III trial (NCT04875169) were analyzed.
Geroscience
September 2025
NUS Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
In the past century, the human Lifespan has doubled. However, this is not equivalent to Healthspan which refers to the number of years spent healthy and free from disease. Women have an additional level of complexity on the path to optimal healthspan where health resilience dramatically decreases following menopause and this is due to their ovaries aging by midlife.
View Article and Find Full Text PDFBr J Sports Med
September 2025
School of Psychological Sciences, Monash University Faculty of Medicine Nursing and Health Sciences, Clayton, Victoria, Australia.
Objective: To report the prevalence of mental health symptoms and influencing factors in retired professional high contact team sport (HCTS) athletes.
Design: Mixed-methods systematic review.
Data Sources: PsycINFO, Embase, Medline, SPORTDiscus and Scopus were searched in July 2023 and March 2025.
Metab Syndr Relat Disord
September 2025
Yale School of Medicine, New Haven, Connecticut, USA.
Poor sleep has been identified as a strong risk factor for metabolic syndrome. Shift workers, who often experience reduced and misaligned sleep due to nighttime work schedules, are particularly susceptible to both sleep disturbances and metabolic syndrome. However, the interplay among shift work, sleep disturbances, and metabolic syndrome remains insufficiently explored.
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