Evidence map›Paper›PMID 41060910›Full record

ArticlePloS one2025

Relationship between weekends catch-up sleep and risk of aging.

Nan Yao, Liuyi Shen, Linrui Qi, Wenqiang Li, Chenan Liu, Fuzhou Han, Ning Duan, Guoyong Yu, Jun Qu

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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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

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No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Nan YaoDepartment of General Surgery, Aerospace Center Hospital, Beijing, China.
Liuyi ShenDepartment of Orthodontics, School and Hospital of Stomatology, Hebei Medical University, Shijiazhuang, China.
Linrui QiDepartment of Neurology, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Wenqiang LiDepartment of General Surgery, Aerospace Center Hospital, Beijing, China.
Chenan LiuDepartment of Gastrointestinal Surgery, Department of Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing, China.
Fuzhou HanDepartment of General Surgery, Aerospace Center Hospital, Beijing, China.
Ning DuanDepartment of General Surgery, Aerospace Center Hospital, Beijing, China.
Guoyong YuDepartment of Nephrology, Beijing University of Chinese Medicine Affiliated Dongzhimen Hospital, Beijing, China.
Jun QuDepartment of General Surgery, Aerospace Center Hospital, Beijing, China.ORCID https://orcid.org/0000-0002-9738-2038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSleep has been proven to be associated with various chronic diseases and aging. However, many individuals fail to achieve recommended sleep durations on weekdays and opt for compensatory sleep during weekends. This study aims to investigate the relationship between weekend catch-up sleep (CUS) and aging.

methodsAll participants were sourced from NHANES 2017-2018. Using the sleep questionnaire, we obtained participants' sleep timings and durations on weekdays and weekends. Weekend CUS was identified as an extension in average weekend sleep duration. Biological age is a biomarker for evaluating biological aging, and its difference from actual age is used to determine aging. Weighted logistic regression analysis was employed to explore the relationship between CUS and aging.

resultsA total of 4,713 participants were included in this study, with an average age of 47.54 ± 16.94 years. 50.6% of individuals experienced CUS. Compared to individuals without CUS, participants with CUS had a 20% lower risk of aging (OR = 0.80, 95% CI: 0.63-1). Specifically, participants who engaged in CUS for 0-1 hour showed a 23% lower risk of aging (OR = 0.77, 95% CI: 0.61-0.96), and those with CUS for 1-2 hours had a 20% lower risk of aging (OR = 0.80, 95% CI: 0.65-0.98). Stratifying by bedtime, the relationship between CUS and reduced aging risk is only observed in individuals who usually go to sleep before midnight and have CUS less than 2 hours.

conclusionThe 0-2 hour CUS is associated with a reduced risk of aging, and this relationship is more significant in participants who go to bed early and have healthy sleep patterns.

Indexed as

AgingSleepAdultAgedFemaleHumansMaleMiddle AgedNutrition SurveysRisk FactorsSurveys and QuestionnairesTime Factors

Identifiers

PMID41060910
PMCPMC12507208

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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.