Sleep Duration and Sarcopenia: An Updated Systematic Review and Meta-Analysis

Li, Xiaoyan; He, Jian‐Jun; Sun, Qiuhua

doi:10.1016/j.jamda.2023.04.032

Cited by 21 publications

(10 citation statements)

References 111 publications

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“…The present study shows a cross-sectional and longitudinal association between sleep disorders and sarcopenia in Chilean older people. In the baseline cross-sectional analysis, we found that sarcopenia was associated with short sleep and long sleep duration, as formerly reported as a U-shape association [3] in previous Asian cross-sectional studies [17] and other studies about sleep duration [30]. We found that the difficulty in falling asleep, the use of sleep drugs, and consulting a doctor for sleep problems were higher in females, in line with previous studies reporting differential sleep in females compared to males…”

Section: Discussionsupporting

confidence: 90%

Self-Reported Sleep Duration Is a Useful Tool to Predict Sarcopenia in Chilean Older Adults: Evidence from the ALEXANDROS Longitudinal Study

Gutiérrez,

Márquez,

Lera

et al. 2024

JPM

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Age-related sleep disorders share common pathways with sarcopenia. Prospective data from Latin American populations are scarce, and the association between sleep disorders and sarcopenia in Chileans remains unknown. Thus, we aimed to study the longitudinal association between sleep disorders and sarcopenia in a cohort study of 1116 community-dwelling Chilean older people ≥60 years old from the ALEXANDROS cohorts. After the exclusion criteria, 318 subjects were followed. Sociodemographic data, self-reported chronic diseases, sedentarism, sleep characteristics, anthropometric measurements, handgrip strength, and muscle performance were assessed. Results indicated that at baseline, the prevalence of sarcopenia was 24.10% without gender differences, and the prevalence of self-reported sleep problems was 23.3%, higher in women (26.46% versus 17.15% in men). The adjusted Cox regression models for sarcopenia showed an association between sarcopenia, sleep disorders (HR = 2.08, 95% IC 1.14–3.80), and long sleep duration (HR = 2.42, 95% IC 1.20–4.91). After 8.24 years of follow-up, there were 2.2 cases of sarcopenia per 100 person-years. This study demonstrates that sleep disorders are an independent risk factor for sarcopenia in Chilean older people. The identification of sleep disorders through self-reported data provides an opportunity for early identification of risk and cost-effective sarcopenia prevention.

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Section: Discussionsupporting

confidence: 90%

Self-Reported Sleep Duration Is a Useful Tool to Predict Sarcopenia in Chilean Older Adults: Evidence from the ALEXANDROS Longitudinal Study

Gutiérrez,

Márquez,

Lera

et al. 2024

JPM

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“…32 Insomnia, sleep deprivation and delayed 35 In the meantime, the meta-analysis showed that abnormal sleep duration was associated with the risk of sarcopenia, and this correlation might be driven by a combination of biological and psychological factors. 36 In a study by Huang et al, it was found that sleep duration and wake time were inversely J-shaped connected with sarcopenia risk after accounting for age-related interactions. 37 This finding aligned with our MR results that individuals with insomnia had lower handgrip strength and slower walking pace.…”

Section: Discussionmentioning

confidence: 98%

Association between sleep traits and sarcopenia‐related traits: A two‐sample bidirectional Mendelian randomization study

Ye,

Pan,

et al. 2024

Geriatrics Gerontology Int

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AimDespite limited evidence regarding the impact of sleep quality on sarcopenia, it is widely recognized as being associated with various diseases. This study aimed to explore the causal relationship between sleep traits and sarcopenia‐related traits.MethodsThis study utilized a two‐sample bidirectional Mendelian randomization analysis. Genetic genome‐wide summary data of sleep quality indicators, including chronotype, morning wake‐up time, sleep duration, daytime napping, insomnia and daytime dozing, were used. Data on sarcopenia‐related traits, such as appendicular lean mass, grip strength of both hands, walking pace and waist circumference, were collected from a large cohort study. The primary method used was the inverse‐variance weighted analysis.ResultsA causal association was found between chronotype and appendicular lean mass (odds ratio [OR] 1.019, 95% confidence interval [CI] 1.016–1.211, P = 0.021). Napping during the day was connected with walking pace (OR 0.879, 95% CI 0.834–0.928, P = 2.289 × 10−6) and waist circumference (OR 1.234, 95% CI 1.081–1.408, P = 0.002). Insomnia was related to lower grip strength of the right hand (OR 0.844, 95% CI 0.747–0.954, P = 0.007), left hand (OR 0.836, 95% CI 0.742–0.943, P = 0.003), as well as walking pace (OR 0.871, 95% CI 0.798–0.951, P = 0.002). Furthermore, the reverse Mendelian randomization analysis showed associations between certain sarcopenia‐related traits and poor sleep quality.ConclusionsSome sleep traits were associated with the occurrence of sarcopenia. These findings emphasized the significance of prioritizing sleep quality as a preventive measure against sarcopenia. Geriatr Gerontol Int 2024; ••: ••–••.

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“…Surprisingly, our study found that men were more likely to experience a loss of muscle mass, and older women were instead more likely to experience this after accounting for sleep duration. The results vary from study to study due to different hormone levels, sample sizes, and definitions of muscle mass in different genders [ 29 ].However, current research generally recognizes men as a risk factor for muscle mass loss [ 30 – 32 ].When considering sleep duration as a factor, a systematic review concluded that longer sleep duration is more likely to be associated with sarcopenia in older adults, especially women [ 33 ]. In contrast, another longitudinal study [ 20 ] showed that long sleep duration was associated with low muscle mass only in community-based male older adults.…”

Section: Discussionmentioning

confidence: 99%

Sleeping more than 8 h: a silent factor contributing to decreased muscle mass in Chinese community-dwelling older adults

Huang,

Lin,

Xiao

et al. 2024

BMC Public Health

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Background Muscle mass loss is an age-related process that can be exacerbated by lifestyle, environmental and other factors, but can be mitigated by good sleep. The objective of this study was to investigate the correlation between varying time lags of sleep duration and the decline in muscle mass among individuals aged 60 years or older by using real-world health monitoring data obtained from wearable devices and smart home health monitoring devices. Methods This study included 86,037 observations from 2,869 participants in the Mobile Support System database. Missing data were supplemented by multiple imputation. The investigation utilized generalized estimating equations and restricted cubic spline curve to examine the relationship between sleep duration and low muscle mass. Various lag structures, including 0, 1, 2, 0–1, 0–2, and 1–2 months, were fitted, and the interaction effect of observation time with sleep duration was estimated for each lag structure. Additionally, subgroup analyses were conducted. The models were adjusted for various covariates, including gender, age, body mass index, footsteps, smoking status, drinking status, marital status, number of chronic diseases, number of medications, diabetes mellitus, hyperlipidemia, coronary artery disease, respiratory disease, and musculoskeletal disease and an interaction term between time and sleep duration. Results The results of the generalized estimating equation showed a significant correlation (p < 0.001) between sleep duration of 8 h or more and low muscle mass in older adults, using 6–7 h of sleep as a reference. This effect was seen over time and prolonged sleep accumulated over multiple months had a greater effect on muscle mass loss than a single month. The effect of long sleep duration on muscle mass loss was significantly greater in females than in males and greater in the over-75 than in the under-75 age group. Restricted cubic spline plots showed a non-linear relationship between sleep duration and low muscle mass (p < 0.001). Conclusions This study found an association between sustained nighttime sleep of more than eight hours and decreased muscle mass in older adults, especially older women.

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Sleep Duration and Sarcopenia: An Updated Systematic Review and Meta-Analysis

Cited by 21 publications

References 111 publications

Self-Reported Sleep Duration Is a Useful Tool to Predict Sarcopenia in Chilean Older Adults: Evidence from the ALEXANDROS Longitudinal Study

Self-Reported Sleep Duration Is a Useful Tool to Predict Sarcopenia in Chilean Older Adults: Evidence from the ALEXANDROS Longitudinal Study

Association between sleep traits and sarcopenia‐related traits: A two‐sample bidirectional Mendelian randomization study

Sleeping more than 8 h: a silent factor contributing to decreased muscle mass in Chinese community-dwelling older adults

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