COMISA patients exhibit a more vulnerable body composition profile characterized by lower skeletal muscle mass and higher visceral fat area compared to OSA-only patients
In a cross-sectional study of 2915 patients with moderate-to-severe OSA, 29.7% were classified as COMISA. COMISA patients had lower skeletal muscle mass (SMM) and higher visceral fat area (VFA), with the SMM/VFA ratio inversely associated with insomnia severity (ฮฒ = -0.08, p = 0.001) and COMISA status (OR = 0.29, p = 0.004), particularly in males.
Evidence Score
Study Evidence
Study 1. Body composition profiles and metabolic vulnerability in comorbid insomnia and sleep apnea (COMISA): A large-scale BIA analysis.
observationalKim JR, Park HR, Song P, Joo EY ยท Sleep medicine (2026)
Result:
Mechanism Graph
Limitations
- โ Cross-sectional design prevents causal inference
- โ Body composition assessed via bioelectrical impedance analysis, not gold-standard methods like DXA or MRI
- โ Insomnia severity defined solely by ISI score, not clinical interview
Frequently Asked Questions
What is COMISA?โผ
COMISA stands for comorbid insomnia and sleep apnea, a condition where patients have both insomnia and obstructive sleep apnea.
How was body composition measured in this study?โผ
Body composition was assessed using bioelectrical impedance analysis (BIA), measuring skeletal muscle mass (SMM), visceral fat area (VFA), and the SMM/VFA ratio.
Did the COMISA group have worse sleep than the OSA-only group?โผ
Yes, COMISA patients had shorter total sleep time, prolonged sleep onset latency, increased wake after sleep onset, and lower sleep efficiency, despite similar BMI and apnea-hypopnea index.
Is the association between body composition and COMISA stronger in any subgroup?โผ
Yes, the inverse association between SMM/VFA ratio and COMISA status was particularly strong in males.
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References
- 1.Kim JR, Park HR, Song P, Joo EY. "Body composition profiles and metabolic vulnerability in comorbid insomnia and sleep apnea (COMISA): A large-scale BIA analysis.." Sleep medicine, 2026. PMID: 42442329 DOI: 10.1016/j.sleep.2026.109134