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Poor multidimensional sleep health associated with cognitive impairment in middle-aged adults.

Poor multidimensional sleep health associated with cognitive impairment in middle-aged adults.
Photo by Slaapwijsheid.nl / Unsplash
Key Takeaway
Note that poor multidimensional sleep health is associated with cognitive impairment in middle-aged adults, but this cross-sectional study cannot establish causality.

This cross-sectional analysis included 646 English-speaking adults aged 35 to 64 years receiving primary care in the Chicagoland area. The study assessed five dimensions of sleep using validated questionnaires and defined cognitive impairment using two tools: an age- and education-adjusted NIH Toolbox Cognition Battery (NIHTB-CB) Fluid Composite T-score <40 and a Montreal Cognitive Assessment (MoCA) score <23.

Poor multidimensional sleep health (RU-SATED score ≤6) was associated with cognitive impairment. For the NIHTB-CB outcome, 18.7% of participants had cognitive impairment, with an adjusted OR of 2.03 (95% CI 1.25-3.26). For the MoCA outcome, 22.3% of participants had cognitive impairment, with an adjusted OR of 1.98 (95% CI 1.20-3.26).

Safety and tolerability data were not reported. The study had no comparator group and was limited by its cross-sectional design, which precludes causal inference. The population was limited to English-speaking adults in a specific urban region.

The practice relevance suggests that brief multidimensional sleep health screening may identify individuals with early cognitive vulnerability. However, the associations are observational and do not prove that improving sleep would prevent cognitive decline.

Study Details

Study typeCohort
Sample sizen = 646
EvidenceLevel 3
PublishedApr 2026
View Original Abstract ↓
Importance: Sleep-wake disturbances in midlife are common and potentially modifiable contributors to long-term brain health, yet primary care lacks a brief, validated tool that reliably identifies adults with early cognitive vulnerability. Objective: To evaluate associations between commonly used sleep questionnaires and cognitive impairment among midlife primary care patients. Design, Setting, and Participants: Cross-sectional analysis of baseline data from the MidCog cohort, an observational study of English-speaking adults aged 35 to 64 years receiving primary care at academic practices or federally qualified health centers in the Chicagoland area. Exposures: Five validated sleep questionnaires were used to assess distinct sleep-wake disturbance phenotypes: (A) unsatisfactory sleep (PROMIS Sleep Disturbance T-score >55), (B) short sleep duration (<6 hours; Munich Chronotype Questionnaire), (C) obstructive sleep apnea (OSA) risk (STOP-Bang [&ge;]3), (D) insomnia symptoms (Insomnia Severity Index [&ge;]15), and (E) poor multidimensional sleep health (RU-SATED [&le;]6). Main Outcomes and Measures: The primary outcome was cognitive impairment defined as an age- and education-adjusted NIH Toolbox Cognition Battery (NIHTB-CB) Fluid Composite T-score <40 ( >1 SD below the population mean). Cognitive impairment defined by the Montreal Cognitive Assessment (MoCA) score <23 served as the secondary outcome. Logistic regression estimated adjusted odds ratios (aOR), controlling for age, sex, education, body mass index, hypertension, hypercholesterolemia, diabetes, smoking, depressive symptoms, and recruitment site. Results: Among 646 participants (mean [SD] age, 52.3 [8.1] years; 62.4% female; 38.0% non-Hispanic Black, 38.4% non-Hispanic White, 16.0% Hispanic), cognitive impairment was present in 18.7% by NIHTB-CB and 22.3% by MoCA. Among five sleep-wake disturbance phenotypes evaluated, only poor multidimensional sleep health was consistently associated with cognitive impairment after multivariable adjustment (NIHTB-CB: adjusted OR [95% CI] = 2.03 [1.25-3.26]; MoCA: 1.98 [1.20-3.26]). Conclusions and Relevance: Poor multidimensional sleep health was associated with cognitive impairment in midlife primary care patients. Brief multidimensional sleep health screening may identify individuals with early cognitive vulnerability and represent a potential strategy for targeting sleep-focused interventions to promote long-term brain health.
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