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).
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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 The current body of evidence comprises 1 study. EvidenceHub rates the overall confidence at 32/100 (low).
The Claim
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
This conclusion is most relevant to: 94 patients with late-life depression.
What the Research Shows
The conclusion draws on 1 linked study. Highlights from the cited literature:
- ▸Subjective-Device-Estimated Sleep Discrepancies in Late-Life Depression: Agreement and Associated Factors. (Alpha psychiatry, 2026) —
How It Works
The proposed biological pathway:
- ▸Subjective sleep reports are collected via self-designed form for previous night's TST, SOL, and SE
- ▸Device-estimated sleep parameters are obtained via portable sleep respiratory monitoring
- ▸Bland-Altman analysis and Wilcoxon signed-rank tests compare subjective and device-estimated measures
- ▸Result: Significant discrepancies found, with subjective underestimation of TST and SE and overestimation of SOL
Who Might Benefit
Evidence fit by population:
- ▸94 patients with late-life depression
Recommended Dose
N/A
Limitations & Caveats
Important context when interpreting this evidence:
- ▸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.
References
- 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