Evidence map›Paper›PMID 41957756›Full record

ArticleBMC public health2026

Accelerometer-derived 'weekend warrior' physical activity pattern and sleep.

Xin Guo, Qin Wang, Ling Li, Lei Yuan, Yunxiang Tang

Abstract read
In one paragraph

Article in BMC public health, 2026. 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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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xin Guo *Faculty of Psychology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Qin Wang *Faculty of Military Health Service, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Ling Li *Faculty of Psychology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, People's Republic of China.
Lei YuanFaculty of Military Health Service, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, People's Republic of China. yuanleigz@163.com.
Yunxiang TangFaculty of Psychology, Naval Medical University, 800 Xiangyin Road, Shanghai, 200433, People's Republic of China. tangyun7633@sina.com.

Funding

The Talent Plan of Naval Medical University 2025-Yuan Lei
6 · The paper itself

Abstract

backgroundPhysical activity (PA) is a key modifiable factor influencing sleep health. The “Weekend Warrior” (WW) pattern is increasingly common, yet its association with multidimensional sleep outcomes remains unclear.

methodsUsing accelerometer-derived PA data and comprehensive sleep questionnaires from the UK Biobank, we classified 78,034 adults into three groups: inactive, WW, and regularly active (RA). Multivariable logistic regression models were used to examine associations between PA patterns and 9 sleep-related outcomes, including sleep quality, insomnia, obstructive sleep apnea (OSA), chronotype, fatigue, psychological distress, cognitive complaints, sleepiness and restless legs syndrome (RLS) adjusting for sociodemographic, lifestyle, and health factors.

resultsCompared to inactive individuals, both WW and RA patterns were significantly associated with better sleep outcomes. In fully adjusted models, WW individuals had lower odds of poor sleep quality (PSQI: OR = 0.91, 95% CI: 0.87–0.95), evening-type circadian preference (OR = 0.58, 95% CI: 0.52–0.65), insomnia (OR = 0.91, 95% CI: 0.87–0.96), OSA (OR = 0.75, 95% CI: 0.68–0.82), fatigue (OR = 0.83, 95% CI: 0.78–0.89), psychological distress (OR = 0.84, 95% CI: 0.78–0.91) and cognitive complaints (OR = 0.89, 95% CI: 0.82–0.96). Similar protective effects were observed for RA. Stratified analyses revealed that females, individuals under 65, and White participants derived greater sleep benefits from the WW pattern, particularly in sleep quality, OSA, and circadian preference.

conclusionsBoth WW and RA are associated with improved sleep health. The WW pattern represents a viable and effective strategy for enhancing sleep, especially among time-constrained individuals. These findings are of great significance for gender- and age-tailored sleep intervention.

Indexed as

AccelerometryExerciseSleepSleep QualityAgedFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited KingdomAccelerometerPhysical activityPopulation studySleep qualityWeekend warrior

Identifiers

PMID41957756
PMCPMC13195960

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LicenceCC BY-NC-ND
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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.