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Published Erratum
. 2024 Dec;36(12):1171-1181.
doi: 10.1017/S1041610223000911. Epub 2023 Dec 4.

Effects of age on the relationship between sleep quality and cognitive performance: Findings from the Human Connectome Project-Aging cohort

Affiliations
Published Erratum

Effects of age on the relationship between sleep quality and cognitive performance: Findings from the Human Connectome Project-Aging cohort

Daniel E Cohen et al. Int Psychogeriatr. 2024 Dec.

Abstract

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 (age2) on TMT-B (p = 0.02) and NIH Toolbox crystallized cognition (p = 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.

Keywords: aging; cognitive assessment; risk factors; sleep.

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Conflict of interest statement

Daniel Cohen: Nothing to Disclose

Hyun Kim: Nothing to Disclose

Alina Levine: Nothing to Disclose

Davangere Devanand: Grant support: National Institute on Aging, Alzheimer’s Association.

DSMB Chair: BioExcel Therapeutics.

Scientific Advisory Board member: Eisai, Biogen, Corium, Genentech, Acadia, Jazz Pharmaceuticals, Tau Rx.

Seonjoo Lee: Nothing to Disclose

Terry Goldberg: Grant support: National Institute on Aging

Figures

Figure 1.
Figure 1.
PSQI total interaction with age for TMT-B.
Figure 2.
Figure 2.
PSQI total interaction with age for crystallized cognition.

Erratum for

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