Evidence map›Paper›PMID 36763364›Full record

ArticleJAMA network open2023

Association of Long-term Exposure to Air Pollution With Late-Life Depression in Older Adults in the US.

Xinye Qiu, Liuhua Shi, Laura D Kubzansky, Yaguang Wei, Edgar Castro, Haomin Li, Marc G Weisskopf, Joel D Schwartz

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
18.4field-weighted citation impact, top 1% of its field
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

32 citing papers in PubMed, 117 citations in OpenAlex.

  1. PMiScience · 2026
    Review
  2. Article
  3. Article
  4. Community severance and mental health-related hospital visits in New York City.Environmental epidemiology (Philadelphia, Pa.) · 2026
    Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Air pollution and depression symptoms in middle-aged and older adults in Los Angeles County.International archives of occupational and environmental health · 2025
    Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

8 authors at 2 institutions in 1 country.

Xinye QiuDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Liuhua ShiGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Laura D KubzanskyDepartment of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Yaguang WeiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Edgar CastroDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Haomin LiGangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, Georgia.
Marc G WeisskopfDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Joel D SchwartzDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Harvard University · USEmory University · US

Funding

Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Air Pollution and Alzheimer's Disease and Related Dementias: A National StudyR01AG074357 · NIA · EMORY UNIVERSITY · PI STEENLAND, NELSON K · 2021 to 2025
$3.4M
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
Climate Penalty: Climate-driven Increases in Ozone and PM2.5 Levels and MortalityR21ES032606 · NIEHS · EMORY UNIVERSITY · PI CHANG, HOWARD H · 2021 to 2022
$456k
NIA NIH HHS R01 AG074357NIEHS NIH HHS P30 ES000002NIEHS NIH HHS R01 ES032418NIEHS NIH HHS R21 ES032606
6 · The paper itself

Abstract

Importance: Emerging evidence has suggested harmful associations of air pollutants with neurodegenerative diseases among older adults. However, little is known about outcomes regarding late-life mental disorders, such as geriatric depression. Objective: To investigate if long-term exposure to air pollution is associated with increased risk of late-life depression diagnosis among older adults in the US. Design, Setting, and Participants: This population-based longitudinal cohort study consisted of US Medicare enrollees older than 64 years. Data were obtained from the US Centers for Medicare and Medicaid Services Chronic Conditions Warehouse. The participants were continuously enrolled in the Fee-for-Service program and both Medicare Part A and Part B. After the 5-year washout period at entry, a total of 8 907 422 unique individuals were covered over the study period of 2005 to 2016, who contributed to 1 526 690 late-onset depression diagnoses. Data analyses were performed between March 2022 and November 2022. Exposures: The exposures consisted of residential long-term exposure to fine particulate matter (PM2.5), measured in micrograms per cubic meter; nitrogen dioxide (NO2), measured in parts per billion; and ozone (O3), measured in parts per billion. Main Outcomes and Measures: Late-life depression diagnoses were identified via information from all available Medicare claims (ie, hospital inpatient, skilled nursing facility, home health agency, hospital outpatient, and physician visits). Date of the first occurrence was obtained. Hazard ratios and percentage change in risk were estimated via stratified Cox proportional hazards models accounting for climate coexposures, neighborhood greenness, socioeconomic conditions, health care access, and urbanicity level. Results: A total of 8 907 422 Medicare enrollees were included in this study with 56.8% being female individuals and 90.2% being White individuals. The mean (SD) age at entry (after washout period) was 73.7 (4.8) years. Each 5-unit increase in long-term mean exposure to PM2.5, NO2, and O3 was associated with an adjusted percentage increase in depression risk of 0.91% (95% CI, 0.02%-1.81%), 0.61% (95% CI, 0.31%- 0.92%), and 2.13% (95% CI, 1.63%-2.64%), respectively, based on a tripollutant model. Effect size heterogeneity was found among subpopulations by comorbidity condition and neighborhood contextual backgrounds. Conclusions and Relevance: In this cohort study among US Medicare enrollees, harmful associations were observed between long-term exposure to air pollution and increased risk of late-life depression diagnosis.

Indexed as

Air PollutionOzoneAgedCohort StudiesDepressionEnvironmental ExposureFemaleHumansLongitudinal StudiesMaleMedicareNitrogen DioxideParticulate MatterUnited StatesNitrogen DioxideOzoneParticulate Matter

Identifiers

PMID36763364
PMCPMC9918878
OpenAlexW4319826203

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.