Evidence map›Paper›PMID 40248218›Full record

ArticlePreventive medicine reports2025

Racial-ethnic composition of U.S. school districts, wildfire smoke PM

Daniel Kim

Abstract read
In one paragraph

Article in Preventive medicine reports, 2025. 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
–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

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

1 author.

Daniel KimDepartment of Public Health and Health Sciences, School of Community Health and Behavioral Sciences & School of Public Policy and Urban Affairs, Northeastern University, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In 2023, the U.S. Biden administration called for an "all-hands-on-deck" response to address chronic absenteeism and disrupted learning among primary and secondary school students due to school closures and remote learning during the pandemic. To identify student populations that might benefit from interventions, this study examined the racial-ethnic composition of school districts as a predictor of wildfire smoke PM Methods: In a lagged cross-sectional study, multivariable logistic regression was employed to investigate school district quartiles of mean percentages of non-White students as predictors of: 1) mean levels of wildfire smoke PM Results: The highest (vs. lowest) quartile for the district-level percentage of non-White students predicted a nearly 3-fold higher odds (adjusted odds ratio, AOR = 2.78; 95 % CI = 2.07-3.74; Conclusions: Districts with higher percentages of non-White students showed elevated odds of high wildfire smoke PM

Identifiers

PMID40248218
PMCPMC12005930

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.