Evidence map›Paper›PMID 34744078›Full record

ArticleJournal of Alzheimer's disease : JAD2021

Associations Between Air Pollution Exposure and Empirically Derived Profiles of Cognitive Performance in Older Women.

Andrew J Petkus, Diana Younan, Xinhui Wang, Daniel P Beavers, Mark A Espeland, Margaret Gatz, Tara Gruenewald, Joel D Kaufman, Helena C Chui, Joshua Millstein and 7 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 3 pooled it
1.2field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 3 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Review
  6. 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

17 authors at 9 institutions in 1 country.

Andrew J PetkusUniversity of Southern California, Department of Neurology, Los Angeles, CA, USA.
Diana YounanUniversity of Southern California, Department of Population and Public Health Sciences, Los Angeles, CA, USA.
Xinhui WangUniversity of Southern California, Department of Neurology, Los Angeles, CA, USA.
Daniel P BeaversWake Forest School of Medicine, Department of Biostatistics, Winston-Salem, NC, USA.
Mark A EspelandWake Forest School of Medicine, Department of Biostatistics, Winston-Salem, NC, USA.
Margaret GatzUniversity of Southern California, Center for Economic and Social Research, Los Angeles, CA, USA.
Tara GruenewaldChapman University, Department of Psychology, Orange, CA, USA.
Joel D KaufmanUniversity of Washington, Department of Environmental and Occupational Health Sciences, Seattle, WA, USA.
Helena C ChuiUniversity of Southern California, Department of Neurology, Los Angeles, CA, USA.
Joshua MillsteinUniversity of Southern California, Department of Population and Public Health Sciences, Los Angeles, CA, USA.
Stephen R RappWake Forest School of Medicine, Department of Psychiatry and Behavioral Medicine, Winston-Salem, NC, USA.
JoAnn E MansonHarvard Medical School, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
Susan M ResnickNational Institute on Aging, Laboratory of Behavioral Neuroscience, Baltimore, MD, USA.
Gregory A WelleniusBoston University, Boston, Department of Environmental Health, Boston, MA, USA.
Eric A WhitselUniversity of North Carolina, Departments of Epidemiology and Medicine, Chapel Hill, NC, USA.
Keith WidamanUniversity of California, Riverside, Graduate School of Education, Riverside, CA, USA.
Jiu-Chiuan ChenUniversity of Southern California, Department of Neurology, Los Angeles, CA, USA.
University of Southern California · USWake Forest University · USBoston University · USBrigham and Women's Hospital · USChapman University · USNational Institute on Aging · USUniversity of California, Riverside · USUniversity of North Carolina at Chapel Hill · USUniversity of Washington · US

Funding

Translational Research Support CoreP30ES007048 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROB S MCCONNELL · 1996 to 2026
$46.4M
XENOBIOTIC BIOTRANSFORMATION AND DISPOSITIONP30ES007033 · NIEHS · UNIVERSITY OF WASHINGTON · PI Sheela Sathyanarayana · 1995 to 2026
$42.5M
VASCULAR RISK AND COGNITIVE STATUS IN A LATINO POPULATIONP50AG005142 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BRASKIE, MEREDITH NICOLE · 1985 to 2019
$41.0M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
USCADRC Diversity Supplement PachicanoP30AG066530 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HELENA Chang CHUI, ARTHUR W TOGA · 2020 to 2026
$27.8M
Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ESPELAND, MARK ANDREW · 2016 to 2020
$12.2M
Urban Air Pollution and Pathological Brain Aging: A Nationwide Twin Study in MenP01AG055367 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI FRANZ, CAROL ELAINE · 2018 to 2022
$11.5M
Alzheimer's Disease & Related Dementias: Geography, Environments, and MechanismsRF1AG054068 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN · 2016 to 2016
$4.1M
Environmental Determinants of Pathological Brain Aging in WHI Memory StudiesR01ES025888 · NIEHS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN, KAUFMAN, JOEL DANIEL · 2016 to 2020
$3.2M
Environmental Determinants of Cognitive Aging in the WHI Memory StudyR01AG033078 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI CHEN, JIU-CHIUAN · 2011 to 2014
$2.6M
SENILE DEMENTIA: NATURAL HISTORYN01AG012106 · NIA · BRIGHAM AND WOMEN'S HOSPITAL · PI EVANS, DENIS A · 1985 to 1987
–
EPA RD838300NHLBI NIH HHS HHSN268201100001INHLBI NIH HHS HHSN268201100002INHLBI NIH HHS HHSN268201100003INHLBI NIH HHS HHSN268201100004INHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIA NIH HHS N01 AG012106NIA NIH HHS P01 AG055367NIA NIH HHS P30 AG049638NIA NIH HHS P30 AG066530NIA NIH HHS P50 AG005142NIA NIH HHS R01 AG033078NIA NIH HHS RF1 AG054068NIEHS NIH HHS P30 ES007033NIEHS NIH HHS P30 ES007048NIEHS NIH HHS P30 ES010126NIEHS NIH HHS R01 ES025888WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

backgroundElucidating associations between exposures to ambient air pollutants and profiles of cognitive performance may provide insight into neurotoxic effects on the aging brain.

objectiveWe examined associations between empirically derived profiles of cognitive performance and residential concentrations of particulate matter of aerodynamic diameter < 2.5 (PM2.5) and nitrogen dioxide (NO2) in older women.

methodWomen (N = 2,142) from the Women's Health Initiative Study of Cognitive Aging completed a neuropsychological assessment measuring attention, visuospatial, language, and episodic memory abilities. Average yearly concentrations of PM2.5 and NO2 were estimated at the participant's addresses for the 3 years prior to the assessment. Latent profile structural equation models identified subgroups of women exhibiting similar profiles across tests. Multinomial regressions examined associations between exposures and latent profile classification, controlling for covariates.

resultFive latent profiles were identified: low performance across multiple domains (poor multi-domain; n = 282;13%), relatively poor verbal episodic memory (poor memory; n = 216; 10%), average performance across all domains (average multi-domain; n = 974; 45%), superior memory (n = 381; 18%), and superior attention (n = 332; 15%). Using women with average cognitive ability as the referent, higher PM2.5 (per interquartile range [IQR] = 3.64μg/m3) was associated with greater odds of being classified in the poor memory (OR = 1.29; 95% Confidence Interval [CI] = 1.10-1.52) or superior attention (OR = 1.30; 95% CI = 1.10-1.53) profiles. NO2 (per IQR = 9.86 ppb) was associated with higher odds of being classified in the poor memory (OR = 1.38; 95% CI = 1.17-1.63) and lower odds of being classified with superior memory (OR = 0.81; 95% CI = 0.67-0.97).

conclusionExposure to PM2.5 and NO2 are associated with patterns of cognitive performance characterized by worse verbal episodic memory relative to performance in other domains.

Indexed as

Environmental ExposureAgedAir PollutantsAir PollutionBrainCognitionFemaleHumansNeuropsychological TestsNitrogen DioxideParticulate MatterAir PollutantsNitrogen DioxideParticulate MatterCognitive aginglatent class analysisnitrogen dioxideparticulate matterwomen

Identifiers

PMID34744078
PMCPMC9057084
OpenAlexW3210340118

What OpenQuestion holds

Textmetadata
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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.