Evidence map›Paper›PMID 40468248›Full record

Observational studyBMC public health2025

Effects of extreme air pollution and El Niño Southern Oscillation on insufficient sleep: a cross-sectional study.

Haris Majeed, Daniyal Zuberi

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

2 authors.

Haris Majeed *University of Toronto, Toronto, Ontario, M5S 1V4, Canada.
Daniyal ZuberiUniversity of Toronto, Toronto, Ontario, M5S 1V4, Canada. daniyal.zuberi@utoronto.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile there are many well understood clinical risk factors on sleep patterns, the associations of environmental factors, specifically air pollution on insufficient sleep remains understudied. This study investigates the association between insufficient sleep and particulate matter 2.5 (PM

methodA cross-sectional observational analysis using annual survey data from 3100 United States counties for adult (≥ 18 years) age-adjusted insufficient sleep prevalence from 2017 to 2024. Annual average county-specific PM

resultsFrom 2017 to 2024, the United States annual insufficient sleep is 34% [range min to max: 23-49%]. With respect to low PM

conclusionLong-term (i.e. annual) effects of air pollution can pose a risk on adult sleep. While El Niño and La Niña phases were found to be a significant effect modifier, yet during the neutral phase the risks for extreme PM

Indexed as

Air PollutionEl Nino-Southern OscillationParticulate MatterSleep DeprivationAdolescentAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedUnited StatesYoung AdultParticulate MatterAir pollutionEl Niño Southern OscillationEnvironmentSleep

Identifiers

PMID40468248
PMCPMC12135353

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.