Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis - Report - MDSpire
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Association between objective sleep structure and suicidal ideation in patients with depression: a study based on polysomnographic regression and cluster analysis
Clinical Report: Linking Objective Sleep Architecture to Suicidal Thoughts in Depressed Patients
Overview
This study investigates the relationship between objective sleep architecture and current suicidal ideation (SI) in depressed patients. It identifies distinct sleep-clinical clusters.
Background
Depression is a prevalent mental disorder and a significant public health concern, with suicidal ideation being a critical symptom. Sleep disturbances are common in depression, yet the connection between objective sleep metrics and suicidal ideation remains inadequately explored.
Data Highlights
Measure
Result
Current SI prevalence
50.52% (145/287)
OR for HAMD total score
1.683 (p < 0.001)
Cluster 1 SI rate
37.04%
Cluster 2 SI rate
70.37%
Cluster 3 SI rate
60.80%
Demographic-adjusted OR for Clusters 2 + 3
3.152 (95% CI: 1.883-5.274, p < 0.001)
Key Findings
50.52% of patients exhibited current suicidal ideation.
Only the HAMD total score was independently associated with current SI (OR = 1.683, p < 0.001).
Cluster analysis revealed three distinct subgroups with varying SI rates.
Membership in Clusters 2 and 3 was significantly associated with current SI (OR = 3.152, p < 0.001).
Excluding HAMD from clustering maintained the association with SI (OR = 2.669, p < 0.001).
Clinical Implications
The findings indicate that depression severity is associated with suicidal ideation. Polysomnographic data may help in understanding sleep-clinical clusters.
Conclusion
The study examines the relationship between depression severity and suicidal ideation and explores the potential of polysomnographic sleep-clinical clusters.
