Evidence map›Paper›PMID 35952868›Full record

ArticleThe Science of the total environment2022

Fine particle components and risk of psychiatric hospitalization in the U.S.

Xinye Qiu, Yaguang Wei, Heresh Amini, Cuicui Wang, Marc Weisskopf, Petros Koutrakis, Joel Schwartz

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Long-term exposure to PMThe Lancet. Planetary health · 2025
    Article
  3. Article
  4. Neighborhood air quality, psychobiological reactivity, and mental health across adolescence.Environmental science and pollution research international · 2025
    Article
  5. Article
  6. Article
  7. Potential causal links of long-term PMSustainable cities and society · 2025
    Article
  8. Article
  9. Ambient PMEnvironmental research · 2024
    Article
  10. Effects of PMEnvironment & health (Washington, D.C.) · 2024
    Article
  11. Article
  12. Article
  13. Long-Term Exposure to Ambient PMJournal of the American Heart Association · 2023
    Article
  14. 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

7 authors.

Xinye QiuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA. Electronic address: xqiu@hsph.harvard.edu.
Yaguang WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Heresh AminiDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Cuicui WangDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Marc WeisskopfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Petros KoutrakisDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Joel SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Identifying low dose measurement error corrected effects of multiple pollutants using causal modelingR01ES032418 · NIEHS · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI SCHWARTZ, JOEL D · 2021 to 2024
$1.7M
NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES032418
6 · The paper itself

Abstract

backgroundThere is a lack of evidence for the associations between atmospheric particle components exposure and psychiatric health. We aimed to identify the most toxic particle component(s) and source(s) related with psychiatric illness.

methodsUsing Health Cost and Utilization Project (HCUP) State Inpatient Databases (SIDs), we analyzed the relative risk (RR) of psychiatric hospitalization associated with increased residential exposure to 14 particle components (Zn, V, Si, Pb, Ni, K, Fe, Cu, Ca, Br, sulfate (SO

resultsSulfate, Fe, Pb and Zn were associated with the largest risk increases in single-component models. The biggest harmful associations were observed for metal industry source (high loadings of Pb and sulfate). For one quartile increase in components mixture score, we observed an adjusted RR of 1.24 (95 % CI, 1.21-1.26). Older population were more affected. We also observed higher increase in bipolar and psychotic admission risk for increased components source and mixture level.

conclusionLiving in areas with higher levels of particle components was associated with increased risk of psychiatric hospitalization among the residents in eight U.S. states. Certain components (i.e. Pb, sulfate) and sources (metal industry) were the most related.

Indexed as

Air PollutantsAir PollutionAdultCarbonEnvironmental MonitoringHospitalizationHumansLeadNitratesParticle SizeParticulate MatterSulfatesAir PollutantsCarbonLeadNitratesParticulate MatterSulfatesLeadMetal industryPopulation mental healthSulfate

Identifiers

PMID35952868
PMCPMC10021693

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LicenceCC BY-NC-ND
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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.