Evidence map›Paper›PMID 30392401›Full record

ArticleEnvironmental health perspectives2018

Longitudinal Analysis of Long-Term Air Pollution Levels and Blood Pressure: A Cautionary Tale from the Multi-Ethnic Study of Atherosclerosis.

Sara D Adar, Yeh-Hsin Chen, Jennifer C D'Souza, Marie S O'Neill, Adam A Szpiro, Amy H Auchincloss, Sung Kyun Park, Martha L Daviglus, Ana V Diez Roux, Joel D Kaufman

Abstract read
In one paragraph

Article in Environmental health perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Associations of exposure to PMBMC public health · 2025
    Pooled it
  2. Review
  3. Long Term Exposure to Ambient Particulate MatterKidney international reports · 2026
    Article
  4. Article
  5. Sharing common measures of the environment across continents: challenges and opportunities for global studies of aging.The journals of gerontology. Series B, Psychological sciences and social sciences · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Social Susceptibility to Multiple Air Pollutants in Cardiovascular Disease.Research report (Health Effects Institute) · 2021
    Article
  20. 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

10 authors.

Sara D AdarDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Yeh-Hsin ChenHarris County Public and Environmental Services, Houston, Texas, USA.
Jennifer C D'SouzaDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Marie S O'NeillDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Adam A SzpiroDepartment of Biostatistics, University of Washington School of Public Health, Seattle, Washington, USA.
Amy H AuchinclossDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Sung Kyun ParkDepartment of Epidemiology, University of Michigan School of Public Health, Ann Arbor, Michigan, USA.
Martha L DaviglusInstitute of Minority Health Research, University of Illinois College of Medicine, Chicago, Illinois, USA.
Ana V Diez RouxDepartment of Epidemiology and Biostatistics, Drexel University Dornsife School of Public Health, Philadelphia, Pennsylvania, USA.
Joel D KaufmanDepartment of Environmental and Occupational Health Sciences, University of Washington School of Public Health, Seattle, Washington, USA.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
University of Michigan ERC-supplement (TRT)T42OH008455 · OH · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NEITZEL, RICHARD L · 2005 to 2025
$32.3M
Wake Forest Clinical and Translational Science AwardUL1TR001420 · NCATS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ARD, JAMY D, FOLEY, KRISTIE L · 2015 to 2023
$32.3M
Clinical and Translational Science AwardUL1TR000040 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2012 to 2015
$26.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Scott Soleimanpour · 2013 to 2026
$24.3M
Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
Neighborhoods and CVD Risk in a Multiethnic Cohort (RMI)R01HL071759 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DIEZ ROUX, ANA VICTORIA · 2003 to 2013
$4.8M
Endothelial Dysfunction and the RV in the Multi-Ethnic Study of AtherosclerosisR01HL086719 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI KAWUT, STEVEN M · 2007 to 2010
$2.0M
Cigarette Smoke and Susceptibility to Influenza InfectionR01HL095163 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JASPERS, ILONA, NOAH, TERRY L · 2009 to 2013
$2.0M
Environmental Factors in Cardiovascular DiseaseK24ES013195 · NIEHS · UNIVERSITY OF WASHINGTON · PI KAUFMAN, JOEL DANIEL · 2005 to 2014
$1.5M
NCATS NIH HHS UL1 TR000040NCATS NIH HHS UL1 TR001079NCATS NIH HHS UL1 TR001420NHLBI NIH HHS HHSN268201500003CNHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095160NHLBI NIH HHS N01 HC095161NHLBI NIH HHS N01 HC095162NHLBI NIH HHS N01 HC095163NHLBI NIH HHS N01 HC095164NHLBI NIH HHS N01 HC095165NHLBI NIH HHS N01 HC095166NHLBI NIH HHS N01 HC095167NHLBI NIH HHS N01 HC095168NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL071759NHLBI NIH HHS R01 HL086719NIDDK NIH HHS P30 DK020572NIDDK NIH HHS P30 DK092926NIEHS NIH HHS K24 ES013195NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES017885NIH HHS HHSN263201500003INIOSH CDC HHS T42 OH008455
6 · The paper itself

Abstract

backgroundAir pollution exposures are hypothesized to impact blood pressure, yet few longitudinal studies exist, their findings are inconsistent, and different adjustments have been made for potentially distinct confounding by calendar time and age.

objectiveWe aimed to investigate the associations of long- and short-term [Formula: see text] and [Formula: see text] concentrations with systolic and diastolic blood pressures and incident hypertension while also accounting for potential confounding by age and time.

methodsBetween 2000 and 2012, Multi-Ethnic Study of Atherosclerosis participants were measured for systolic and diastolic blood pressure at five exams. We estimated annual average and daily [Formula: see text] and [Formula: see text] concentrations for 6,569 participants using spatiotemporal models and measurements, respectively. Associations of exposures with blood pressure corrected for medication were studied using mixed-effects models. Incident hypertension was examined with Cox regression. We adjusted all models for sex, race/ethnicity, socioeconomic status, smoking, physical activity, diet, season, and site. We compared associations from models adjusting for time-varying age with those that adjusted for both time-varying age and calendar time.

resultsWe observed decreases in pollution and blood pressures (adjusted for age and medication) over time. Strong, positive associations of long- and short-term exposures with blood pressure were found only in models with adjustment for time-varying age but not adjustment for both time-varying age and calendar time. For example, [Formula: see text] higher annual average [Formula: see text] concentrations were associated with 2.7 (95% CI: 1.5, 4.0) and [Formula: see text] (95% CI: [Formula: see text] 1.0) mmHg in systolic blood pressure with and without additional adjustment for time, respectively. Associations with incident hypertension were similarly weakened by additional adjustment for time. Sensitivity analyses indicated that air pollution did not likely cause the temporal trends in blood pressure.

conclusionsIn contrast to experimental evidence, we found no associations between long- or short-term exposures to air pollution and blood pressure after accounting for both time-varying age and calendar time. This research suggests that careful consideration of both age and time is needed in longitudinal studies with trending exposures. https://doi.org/10.1289/EHP2966.

Indexed as

Blood PressureAgedAged, 80 and overAge FactorsAir PollutionAntihypertensive AgentsCohort StudiesEnvironmental ExposureEthnicityFemaleHumansHypertensionIncidenceLongitudinal StudiesMaleMiddle AgedAntihypertensive Agents

Identifiers

PMID30392401
PMCPMC6371645

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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.