Evidence map›Paper›PMID 41840534›Full record

ArticleBMC public health2026

Associations of long-term PM

Shiqi Zhang, Yanjun Li, Yanwei You, Limei Ke, Xindong Ma, Jianxiu Liu

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shiqi Zhang *Division of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Yanjun Li *Vanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Yanwei YouDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China.
Limei KeVanke School of Public Health, Tsinghua University, Beijing, 100084, China.
Xindong MaDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China. maxd@tsinghua.edu.cn.
Jianxiu LiuDivision of Sports Science and Physical Education, Tsinghua University, Beijing, 100084, China. liujianxiu@mail.tsinghua.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysical activity (PA) is known to benefit sleep health, and the detrimental effects of PM2.5 on sleep are also recognized. However, whether taking PA with PM2.5 exposure is still beneficial to sleep is not well-understood.

methodsWe analyzed two UK Biobank cohorts. Both cohorts included PM2.5 exposure and sleep behavior data. The full cohort (n = 293,980) collected walking and moderate-to-vigorous PA (MVPA) data via International Physical Activity Questionnaire from 2006 to 2010. The accelerometer-measured subsample (n = 63,474) provided light PA (LPA) and MVPA data from 2013 to 2015. Using linear regression and generalized additive models, we assessed independent associations and evaluated effect modification by PA on the PM2.5-sleep relationship using interaction terms. We further characterized nonlinear dose-response patterns to identify optimal PA levels.

resultsLong-term PM2.5 exposure was associated with reduced sleep quality and sleep duration. For every 10 MET-hours/week increase in MVPA, the negative association between PM2.5 and sleep quality was reduced by 0.0651 (0.0096, 0.1205), mitigating 24.7% of the detrimental effect of PM2.5 on sleep (derived from the ratio of the interaction coefficient to the main effect coefficient). Walking offset 19.6% of the negative impact. A threshold effect was observed in the dose-response relationship; optimal sleep improvements occurred at 37 MET-hours/week for walking (11.2 h/week) and 50 MET-hours/week for MVPA (8.33 h/week). Notably, these modifying effects were particularly robust in vulnerable populations, including individuals with obesity, males, and older adults.

conclusionsLong-term exposure to PM2.5 compromises sleep health, whereas PA can partially offset these adverse effects. This study identifies granular dose-response thresholds for Walking and MVPA, offering a quantitative target for intervention. PA serves as an economical strategy to preserve sleep health under PM2.5 exposure, with potential implications for tailoring exercise guidelines.

Indexed as

Air PollutantsEnvironmental ExposureExerciseParticulate MatterSleepAccelerometryAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedSleep DurationSleep QualityUnited KingdomAir PollutantsParticulate MatterAccelerometerAir pollutionPhysical activityPM2.5Sleep

Identifiers

PMID41840534
PMCPMC13104238

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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.