ArticleScientific reports2026
Association between sleep disorders and low muscle mass based on body composition metrics.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Investigating the relationship between body composition and sleep disorders, this cross-sectional study analyzed 990 patients (427 males, 563 females) at the Samsung Medical Sleep Center using polysomnography and bioelectrical impedance analysis. Sleep disorders were classified as primary insomnia (PI), comorbid insomnia and sleep apnea (COMISA), and obstructive sleep apnea (OSA) using ICSD-3 criteria, while sarcopenia was defined using gender-specific Skeletal Muscle Index (SMI) thresholds. The PI group showed the lowest SMI values across both sexes. Analysis revealed that among PI patients, prolonged sleep latency was significantly associated with sarcopenia. Among sarcopenic participants, patients with COMISA, particularly males, tended to show higher BMI, body fat percentage, and fat mass index compared to controls. The findings demonstrate distinct patterns: PI patients exhibited sarcopenia associated with poor sleep quality, while COMISA and OSA patients showed features consistent with sarcopenic obesity. These results suggest the need for targeted interventions: PI patients would benefit from strategies focusing on sleep quality improvement and muscle mass preservation, while OSA and COMISA patients require comprehensive approaches addressing both weight management and muscle mass maintenance.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.