BACKGROUND: It seems that sleep quality could impact the physiological process related to loss of muscle mass. OBJECTIVES: We seek to compare subjective sleep quality of sarcopenic and non-sarcopenic subjects diagnosed according to 6 definitions. DESIGN: Cross-sectional data used in this analysis were collected from the SarcoPhAge (Sarcopenia and Physical Impairment with Advancing Age) cohort, a prospective study aiming to assess clinical parameters linked to sarcopenia. PARTICIPANTS: The present study was interested in communitydwelling older adults with and without sarcopenia. Measurements - A diagnosis of sarcopenia was established according to 6 definitions. Three assessments were carried out: an evaluation of lean mass, a measurement of muscle strength and an assessment of physical performance. In addition, to evaluate the parameters of subjective sleep, we used the Pittsburgh Sleep Quality Index (PSQI), a self-administered questionnaire evaluating 7 components of sleep architecture. RESULTS: A total of 255 individuals aged 74.7±5.8 years were included. Based on the 6 different definitions, the prevalence of sarcopenia ranged from 5.9% to 32.5%. There was no significant difference between sarcopenic and non-sarcopenic subjects regarding most of the components of subjective sleep quality. However, the definition of Cruz-Jentoft et al. (2010) indicated that sarcopenic subjects had higher scores than non-sarcopenic subjects for two components: sleep latency and day-time dysfunction (p=0.03 and p=0.04, adjusted for confounders). Moreover, some parameters of sleep quality were correlated with components of sarcopenia. CONCLUSIONS: Some properties of subjective sleep quality seem to be associated with sarcopenia and seem correlated with at least one of the three components of the condition.
BACKGROUND: It seems that sleep quality could impact the physiological process related to loss of muscle mass. OBJECTIVES: We seek to compare subjective sleep quality of sarcopenic and non-sarcopenic subjects diagnosed according to 6 definitions. DESIGN: Cross-sectional data used in this analysis were collected from the SarcoPhAge (Sarcopenia and Physical Impairment with Advancing Age) cohort, a prospective study aiming to assess clinical parameters linked to sarcopenia. PARTICIPANTS: The present study was interested in communitydwelling older adults with and without sarcopenia. Measurements - A diagnosis of sarcopenia was established according to 6 definitions. Three assessments were carried out: an evaluation of lean mass, a measurement of muscle strength and an assessment of physical performance. In addition, to evaluate the parameters of subjective sleep, we used the Pittsburgh Sleep Quality Index (PSQI), a self-administered questionnaire evaluating 7 components of sleep architecture. RESULTS: A total of 255 individuals aged 74.7±5.8 years were included. Based on the 6 different definitions, the prevalence of sarcopenia ranged from 5.9% to 32.5%. There was no significant difference between sarcopenic and non-sarcopenic subjects regarding most of the components of subjective sleep quality. However, the definition of Cruz-Jentoft et al. (2010) indicated that sarcopenic subjects had higher scores than non-sarcopenic subjects for two components: sleep latency and day-time dysfunction (p=0.03 and p=0.04, adjusted for confounders). Moreover, some parameters of sleep quality were correlated with components of sarcopenia. CONCLUSIONS: Some properties of subjective sleep quality seem to be associated with sarcopenia and seem correlated with at least one of the three components of the condition.
Authors: K Yamamoto; K Motokawa; T Yoshizaki; T Yano; H Hirano; Y Ohara; M Shirobe; H Inagaki; S Awata; S Shinkai; Y Watanabe Journal: J Nutr Health Aging Date: 2020 Impact factor: 4.075
Authors: C Szlejf; C K Suemoto; L F Drager; R H Griep; M J M Fonseca; M F H S Diniz; P A Lotufo; I M Benseãor Journal: Braz J Med Biol Res Date: 2021-12-03 Impact factor: 2.590