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Poor sleep quality (PSQI > 9.5) is associated with increased odds of fall history in older adults with type 2 diabetes

In a cross-sectional study of 60 participants (30 with T2DM, 30 controls), PSQI was the only variable significantly associated with fall status within the T2DM group (OR = 1.239, 95% CI: 1.033โ€“1.488). ROC analysis showed PSQI had acceptable discriminative ability (AUC = 0.785, p = 0.010) with an optimal cut-off of 9.5, yielding 72.7% sensitivity and 84.2% specificity.

Last updated: Aug 25, 2026โ€ข0 RCTsโ€ข๐Ÿ“– Read as article โ†’

Evidence Score

Evidence Score34/100
Human RCTโ˜†โ˜†โ˜†โ˜†โ˜†
Meta-analysisโ˜†โ˜†โ˜†โ˜†โ˜†
Mechanismโ˜…โ˜…โ˜…โ˜…โ˜…
Safetyโ˜…โ˜…โ˜…โ˜…โ˜†
Confidencelow

Study Evidence

Study 1. Dual-task timed up and go performance and sleep quality in relation to fall history in older adults with type 2 diabetes: a cross-sectional study.

observational

Zhang X, Wang S, Sun C, Li S, Hu Y ยท Frontiers in public health (2026)

Participants: N/A
Duration: N/A (cross-sectional)
Intervention: None (observational study); assessed sleep quality via PSQI and other variables
Outcome: Fall history (faller vs. non-faller) within T2DM group; also TUG, TUG-DT, postural stability, depression, lifestyle factors
Effect Size: OR = 1.239 (95% CI: 1.033โ€“1.488)
Population: Middle-aged and older adults (aged >50) with type 2 diabetes mellitus (n=30) and age- and gender-matched healthy controls (n=30)

Result:

Mechanism Graph

T2DM is associated with impairments in motor and cognitive function, increasing fall risk
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Poor sleep quality may further impair cognitive and motor performance, increasing fall risk
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PSQI score >9.5 identified as a critical threshold for fall risk
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Fall risk in T2DM is multidimensional, with behavioral and psychological factors playing a key role

Limitations

  • โš Cross-sectional design prevents causal inference
  • โš Small sample size (n=60) and single-center study may limit generalizability
  • โš Fall history was self-reported, subject to recall bias
  • โš Potential unmeasured confounders (e.g., medication use, neuropathy severity) not accounted for

Frequently Asked Questions

What is the optimal PSQI cutoff for predicting fall risk in older adults with type 2 diabetes?โ–ผ

The study found a PSQI score greater than 9.5 to be the optimal cutoff, with 72.7% sensitivity and 84.2% specificity for identifying fallers.

Is poor sleep quality more important than mobility performance for fall risk in T2DM?โ–ผ

In this study, PSQI was the only significant predictor of fall status in logistic regression, while TUG-DT performance was not significantly associated with falls, suggesting sleep quality may be a stronger correlate.

How does TUG-DT performance differ between T2DM patients and healthy controls?โ–ผ

T2DM patients showed significantly impaired TUG-DT performance, with increased cognitive errors, cognitive pauses, and movement pauses compared to controls, indicating reduced functional mobility.

What lifestyle factors were associated with T2DM in this study?โ–ผ

Smoking and exercise behavior differed significantly between T2DM and control groups, but these were not significant predictors of fall status within the T2DM group.

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References

  1. 1.Zhang X, Wang S, Sun C, Li S, Hu Y. "Dual-task timed up and go performance and sleep quality in relation to fall history in older adults with type 2 diabetes: a cross-sectional study.." Frontiers in public health, 2026. PMID: 42625614 DOI: 10.3389/fpubh.2026.1856870
Disclaimer: This content is for educational purposes only and is not medical advice. Evidence scores reflect the quality and quantity of available research, not clinical recommendations. Always consult a healthcare professional before starting any supplement or intervention.