Abstract Background Postmenopausal women are at increased risk of both poor sleep and sarcopenia, conditions that impair quality of life and may share underlying physiological pathways. This study examined cross-sectional associations between sleep characteristics and sarcopenia in postmenopausal women. Methods We analysed data from 389 women median age: 59 years (IQR: 54–67) from the first follow-up of the CoLaus study. Sarcopenia was defined as having both low appendicular skeletal muscle mass index (ASMI 0.64) and low handgrip strength (22.38 kg), based on the lowest tertile of the sample. Sleep parameters were obtained via in-home polysomnography. Logistic regression models were used to assess associations between poor sleep indicators and sarcopenia, adjusting for age, socioeconomic status, alcohol use, smoking, energy expenditure, medications, and comorbidities. Results Sarcopenia was present in 61(15.7%) of the participants. After adjustment for confounders, short sleep duration (6 hours) (OR = 1.10, 95% CI = 1.01–1.21), poor sleep efficiency (80%) (OR = 1.09, 95% CI = 1.00–1.19), prolonged wake after sleep onset (WASO 30 minutes) (OR = 1.09, 95% CI = 1.02-1.18), severe obstructive sleep apnoea (AHI 30) (OR = 1.20, 95 % CI = 1.06–1.37) and nocturnal hypoxemia (1% of sleep time with oxygen saturation below 90%) (OR = 1.09, 95 % CI = 1.01–1.19) were significantly associated with increased odds of sarcopenia. Conclusion Indicators of poor sleep—short duration, reduced efficiency, nocturnal wakefulness, and severe OSA—were associated with sarcopenia in postmenopausal women. These findings support the need for integrated screening and management of sleep health and muscle function in this population.
Raju Khanal (Wed,) studied this question.
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