Evidence map›Paper›PMID 38486063›Full record

ArticleScientific reports2024

Inverted U-shaped relationship between sleep duration and phenotypic age in US adults: a population-based study.

Yanwei You, Yuquan Chen, Ruidong Liu, Yangchang Zhang, Meiqing Wang, Zihao Yang, Jianxiu Liu, Xindong Ma

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 3 pooled it
50.3field-weighted citation impact, top 1% of its field
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

73 citing papers in PubMed, 3 syntheses or guidelines pooled it, 99 citations in OpenAlex.

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13 more citing papers are in PubMed but not listed here.

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

8 authors at 4 institutions in 2 countries.

Yanwei You *Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Yuquan Chen *School of Public Health and Preventive Medicine, Faculty of Medicine, Nursing & Health Sciences, Monash University, Melbourne, VIC, 3004, Australia.
Ruidong Liu *Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Yangchang ZhangDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, 100169, China.
Meiqing WangDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Zihao YangDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Jianxiu LiuDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China. liujianxiu@mail.tsinghua.edu.cn.
Xindong MaDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China. maxd@mail.tsinghua.edu.cn.
Tsinghua University · CNBeijing Sport University · CNCapital Medical University · CNMonash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sleep is a modifiable behavior that can be targeted in interventions aimed at promoting healthy aging. This study aims to (i) identify the sleep duration trend in US adults; (ii) investigate the relationship between sleep duration and phenotypic age; and (iii) explore the role of exercise in this relationship. Phenotypic age as a novel index was calculated according to biomarkers collected from US adults based on the National Health and Nutrition Examination Survey (NHANES). Sleep information was self-reported by participants and discerned through individual interviews. The principal analytical method employed was weighted multivariable linear regression modeling, which accommodated for the complex multi-stage sampling design. The potential non-linear relationship was explored using a restricted cubic spline (RCS) model. Furthermore, subgroup analyses evaluated the potential effects of sociodemographic and lifestyle factors on the primary study outcomes. A total of 13,569 participants were finally included in, thereby resulting in a weighted population of 78,880,615. An examination of the temporal trends in sleep duration revealed a declining proportion of individuals with insufficient and markedly deficient sleep time since the 2015-2016 cycle. Taken normal sleep group as a reference, participants with extreme short sleep [β (95% CI) 0.582 (0.018, 1.146), p = 0.044] and long sleep [β (95% CI) 0.694 (0.186, 1.203), p = 0.010] were both positively associated with phenotypic age using the fully adjusted model. According to the dose-response relationship between sleep duration and phenotypic age, long sleep duration can benefit from regular exercise activity, whereas short sleep duration with more exercise tended to have higher phenotypic age. There is an inverted U-shaped relationship between short and long sleep durations and phenotypic age. This study represents an important step forward in our understanding of the complex relationship between sleep and healthy aging. By shedding light on this topic and providing practical exercise recommendations for promoting healthy sleep habits, researchers can help individuals live longer, healthier, and more fulfilling lives.

Indexed as

Sleep DurationSleep Wake DisordersAdultCross-Sectional StudiesHumansNutrition SurveysRisk FactorsSleepCross-sectional studyExercisePhenotypic ageSleepUS population

Identifiers

PMID38486063
PMCPMC10940593
OpenAlexW4392861269

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.