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Patients with late-life depression exhibit subjective-device-estimated discrepancies in sleep parameters, with greater depressive symptom severity associated with greater underestimation of total sleep time

In a cross-sectional study of 94 patients with late-life depression, subjective reports significantly differed from device-estimated measures for total sleep time (TST), sleep onset latency (SOL), and sleep efficiency (SE). Greater depressive symptom severity was associated with greater subjective underestimation of TST (p = 0.037), while later age at first onset was associated with greater subjective underestimation of SE (p = 0.013).

Last updated: Jul 14, 2026•0 RCTs•📖 Read as article →

Evidence Score

Evidence Score32/100
Human RCT☆☆☆☆☆
Meta-analysis☆☆☆☆☆
Mechanism★★★★★
Safety★★★★☆
Confidencelow

Study Evidence

Study 1. Subjective-Device-Estimated Sleep Discrepancies in Late-Life Depression: Agreement and Associated Factors.

observational

Wang Q, Gong Y, Ji J, Zhang Y, Lu M, Song M, Zhang X, Zhao Y, Miao Q · Alpha psychiatry (2026)

Participants: N/A
Duration: cross-sectional (single night assessment)
Intervention: Comparison of subjective sleep assessment (self-designed form) vs. device-estimated sleep parameters (portable sleep respiratory monitoring)
Outcome: Agreement between subjective and device-estimated total sleep time (TST), sleep onset latency (SOL), and sleep efficiency (SE)
Effect Size: N/A
Population: 94 patients with late-life depression

Result:

PubMed: 42416181DOI: 10.31083/AP50350

Mechanism Graph

Subjective sleep reports are collected via self-designed form for previous night's TST, SOL, and SE
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Device-estimated sleep parameters are obtained via portable sleep respiratory monitoring
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Bland-Altman analysis and Wilcoxon signed-rank tests compare subjective and device-estimated measures
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Result: Significant discrepancies found, with subjective underestimation of TST and SE and overestimation of SOL

Limitations

  • ⚠Cross-sectional design limits causal inference
  • ⚠Use of a self-designed form for subjective sleep assessment may not be validated against standardized questionnaires

Frequently Asked Questions

What sleep parameters showed discrepancies in late-life depression?▼

Total sleep time (TST), sleep onset latency (SOL), and sleep efficiency (SE) all showed significant subjective-device-estimated discrepancies.

Which factor was associated with underestimation of total sleep time?▼

Greater depressive symptom severity was associated with greater subjective underestimation of total sleep time (p = 0.037).

Was there any association with age at first onset of depression?▼

Later age at first onset was associated with greater subjective underestimation of sleep efficiency (p = 0.013), and showed a trend toward overestimation of sleep onset latency (p = 0.047, but not significant after adjusting for sex).

What is the clinical implication of this study?▼

Combining device-estimated sleep monitoring with subjective sleep assessment is recommended for a more comprehensive understanding of sleep status in late-life depression.

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References

  1. 1.Wang Q, Gong Y, Ji J, Zhang Y, Lu M, Song M, Zhang X, Zhao Y, Miao Q. "Subjective-Device-Estimated Sleep Discrepancies in Late-Life Depression: Agreement and Associated Factors.." Alpha psychiatry, 2026. PMID: 42416181 DOI: 10.31083/AP50350
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