ArticleBMC public health2026
Accelerometer-derived 'weekend warrior' physical activity pattern and sleep.
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.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.