ArticleBMC public health2026
Short-term PM
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
No grant is acknowledged in the PubMed record.
Abstract
introductionParticulate matter is a known risk factor for cardiovascular and respiratory illness. Ecological analyses have indicated associations for mental health outcomes, but there has been only limited work on the impacts of individual exposure to air pollutants and mental health-related mortality. This research uses a novel case-crossover design to assess associations between short-term lag exposure to particulate matter 2.5 (PM
methodsRecords for all deaths from suicide, alcohol-related liver failure, and overdose were obtained from the Michigan Department of Health and Human Services (MDHHS) for the years 2006 to 2020. Residential addresses were geocoded, and latitude/longitude locations were added to the database. Gridded raster data of daily PM[Formula: see text] concentrations at 1km resolution were obtained from the CAFE Climate and Health Research Coordinating Center Collection. PM[Formula: see text] exposure for all 14 days preceding the recorded date of death was extracted for all decedents at each point. A case-crossover design was used, where everyone served as their own control, staggering exposure days on the same weekday in the same month of the date of death. Lag associations of PM[Formula: see text] and mortality were then tested using regression models stratified by race and sex within a distributed lag non-linear modelling framework, including the cross-basis for PM[Formula: see text] exposure.
resultsThere were 30,930 mental health-related deaths included in the dataset between 2006-2016. Among these, there were 13,336 suicides, 6,875 deaths from alcohol-related liver failure and 10,719 deaths from overdose. The mean PM
conclusionsWhile we did not find overall statistically significant associations of PM[Formula: see text] exposure with mental health-related mortality, our results suggest that there might be possible associations of cumulative extreme levels of PM[Formula: see text] exposure over one week. As suicide, alcohol-related mortality and overdose are the end of a long cascade of events and factors, future work might test lag associations with non-fatal mental health-related episodes or assess individuals' exposure directly.
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.