Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis - Summary - MDSpire

Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis

  • By

  • Renyun Zhang

  • Limin Yang

  • Xiaohua Yang

  • Xuefei Wu

  • Chao Han

  • June 29, 2026

  • 0 min

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Objective:

To examine associations between objective sleep structure and current suicidal ideation (SI) in depressed patients and to explore the utility of sleep-clinical clustering for SI stratification.

Approach:
  • Participants: 287 patients with depressive disorder underwent clinical assessment and overnight polysomnography (PSG).
  • Assessment of SI: Current SI was assessed using item 3 of the HAMD-17.
  • Statistical Analysis: Binary logistic regression evaluated factors associated with SI; K-Means clustering identified sleep-clinical subgroups.
Key Findings:
  • 50.52% of patients exhibited current SI.
  • Only the HAMD total score was independently associated with current SI (OR = 1.683, p < 0.001).
  • Cluster analysis revealed three subgroups with distinct SI rates: Cluster 1 (37.04%), Cluster 2 (70.37%), Cluster 3 (60.80%).
  • Membership in Clusters 2 + 3 was associated with current SI (OR = 3.152, p < 0.001).
Interpretation:

Depression severity was the primary factor associated with current SI, while PSG-derived sleep-clinical clusters may help characterize presentations of SI.

Limitations:
  • The study's exploratory nature requires validation in larger longitudinal samples.
  • The primary cluster association was attenuated when adjusting for HAMD total score.
Conclusion:

PSG-derived sleep-clinical clusters may provide insights into the heterogeneity of current SI in depressed patients.

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