Evidence map›Paper›PMID 38711104›Full record

ArticleBMC public health2024

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

Qiongyu Huang, Hongsheng Lin, Han Xiao, Liuwei Zhang, Dafang Chen, Xiaotong Dai

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Qiongyu HuangKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing Sport University, No.48, Xinxi Road, 100084, Beijing, China.
Hongsheng LinKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing Sport University, No.48, Xinxi Road, 100084, Beijing, China.
Han XiaoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China.
Liuwei ZhangKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing Sport University, No.48, Xinxi Road, 100084, Beijing, China.
Dafang ChenDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, 100191, Beijing, China. dafangchen@bjmu.edu.cn.
Xiaotong DaiKey Laboratory of Sports and Physical Health, Ministry of Education, Beijing Sport University, No.48, Xinxi Road, 100084, Beijing, China. daixtong1222@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMuscle 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.

methodsThis 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.

resultsThe 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).

conclusionsThis study found an association between sustained nighttime sleep of more than eight hours and decreased muscle mass in older adults, especially older women.

Indexed as

Independent LivingSleepAgedAged, 80 and overChinaEast Asian PeopleFemaleHumansMaleMiddle AgedMuscle, SkeletalSarcopeniaTime FactorsGeneralized estimating equationsLongitudinal researchLow muscle massSleep duration

Identifiers

PMID38711104
PMCPMC11075226

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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.