Evidence map›Paper›PMID 28120831›Full record

ArticleJournal of exposure science & environmental epidemiology2017

Integrating data from multiple time-location measurement methods for use in exposure assessment: the Multi-Ethnic Study of Atherosclerosis and Air Pollution (MESA Air).

Marnie F Hazlehurst, Elizabeth W Spalt, Cynthia L Curl, Mark E Davey, Sverre Vedal, Gregory L Burke, Joel D Kaufman

Erratum issuedAbstract read
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In one paragraph

Article in Journal of exposure science & environmental epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Children's microenvironmental exposure to PMJournal of exposure science & environmental epidemiology · 2020
    Article
  2. Observational
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Marnie F HazlehurstDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Elizabeth W SpaltDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Cynthia L CurlDepartment of Community and Environmental Health, Boise State University, Boise, Idaho, USA.
Mark E DaveyDepartment of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, Basel, Switzerland.
Sverre VedalDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.
Gregory L BurkeDivision of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Joel D KaufmanDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA.

Funding

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
6 · The paper itself

Abstract

Tools to assess time-location patterns related to environmental exposures have expanded from reliance on time-location diaries (TLDs) and questionnaires to use of geospatial location devices such as data-logging Global Positioning System (GPS) equipment. The Multi-Ethnic Study of Atherosclerosis and Air Pollution obtained typical time-location patterns via questionnaire for 6424 adults in six US cities. At a later time (mean 4.6 years after questionnaire), a subset (n=128) participated in high-resolution data collection for specific 2-week periods resulting in concurrent GPS and detailed TLD data, which were aggregated to estimate time spent in various microenvironments. During these 2-week periods, participants were observed to spend the most time at home indoors (mean of 78%) and a small proportion of time in-vehicle (mean of 4%). Similar overall patterns were reported by these participants on the prior questionnaire (mean home indoors: 75%; mean in-vehicle: 4%). However, individual micro-environmental time estimates measured over specific 2-week periods were not highly correlated with an individual's questionnaire report of typical behavior (Spearman's ρ of 0.43 for home indoors and 0.39 for in-vehicle). Although questionnaire data about typical time-location patterns can inform interpretation of long-term epidemiological analyses and risk assessment, they may not reliably represent an individual's short-term experience.

Indexed as

AdultAgedAged, 80 and overAir PollutionAtherosclerosisCitiesEnvironmental ExposureEnvironmental MonitoringEthnicityFemaleGeographic Information SystemsHumansMaleMiddle AgedSurveys and QuestionnairesTime Factors

Identifiers

PMID28120831

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.