Evidence map›Paper›PMID 40571594›Full record

ArticleEnvironmental health and preventive medicine2025

The increased risk of exposure to fine particulate matter for depression incidence is mediated by elevated TNF-R1: the Healthy Aging Longitudinal Study.

Ta-Yuan Chang, Ting-Yu Zhuang, Yun-Chieh Yang, Chih-Cheng Hsu, Wan-Ju Cheng

Abstract read
In one paragraph

Article in Environmental health and preventive medicine, 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. Review
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

5 authors.

Ta-Yuan ChangDepartment of Occupational Safety and Health, College of Public Health, China Medical University.
Ting-Yu ZhuangDepartment of Occupational Safety and Health, College of Public Health, China Medical University.
Yun-Chieh YangNational Center for Geriatrics and Welfare Research, National Health Research Institutes.
Chih-Cheng HsuInstitute of Population Health Sciences, National Health Research Institutes.
Wan-Ju ChengNational Center for Geriatrics and Welfare Research, National Health Research Institutes.ORCID http://orcid.org/0000-0003-4510-7584

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression among older adults is an important public health issue, and air and noise pollution have been found to contribute to exacerbation of depressive symptoms. This study examined the association of exposure to air and noise pollutants with clinically-newly-diagnosed depressive disorder. The mediating role of individual pro-inflammatory markers was explored.

methodsWe linked National Health Insurance claim data with 2998 healthy community-dwellers aged 55 and above who participated in the Healthy Aging Longitudinal Study between 2009 and 2013. Newly diagnosed depressive disorder was identified using diagnostic codes from the medical claim data. Pollutants were estimated using nationwide land use regression, including PM

resultsAmong the 2998 participants, 209 had newly diagnosed depressive disorders. In adjusted Cox proportional hazard models, one interquartile range increase in PM

conclusionPM

Indexed as

Air PollutantsDepressionDepressive DisorderEnvironmental ExposureParticulate MatterReceptors, Tumor Necrosis Factor, Type IAgedAged, 80 and overAir PollutionBiomarkersFemaleHumansIncidenceLongitudinal StudiesMaleMiddle AgedAir PollutantsBiomarkersParticulate MatterReceptors, Tumor Necrosis Factor, Type IAir pollutionInflammationMental healthParticulate matterRoad traffic noise

Identifiers

PMID40571594
PMCPMC12206667

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.