Evidence map›Paper›PMID 30721163›Full record

ArticleEpidemiology (Cambridge, Mass.)2019

Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures.

Christopher N Morrison, Hilary F Byrnes, Brenda A Miller, Emily Kaner, Sarah E Wiehe, William R Ponicki, Douglas J Wiebe

Abstract read
In one paragraph

Article in Epidemiology (Cambridge, Mass.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
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  17. Space and Place in Alcohol Research.Current epidemiology reports · 2019
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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.

Christopher N MorrisonFrom the Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY.
Hilary F ByrnesPrevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA.
Brenda A MillerPrevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA.
Emily KanerPrevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA.
Sarah E WieheDepartment of Pediatrics, Indiana University School of Medicine, Indianapolis, IN.
William R PonickiPrevention Research Center, Pacific Institute for Research and Evaluation, Berkeley, CA.
Douglas J WiebeDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Funding

Changing Environmental Influences on Adolescent Alcohol Use and Risk BehaviorsR01HD078415 · NICHD · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI BYRNES, HILARY F. · 2014 to 2017
$1.9M
NICHD NIH HHS R01 HD078415
6 · The paper itself

Abstract

backgroundMany approaches are available to researchers who wish to measure individuals' exposure to environmental conditions. Different approaches may yield different estimates of associations with health outcomes. Taking adolescents' exposure to alcohol outlets as an example, we aimed to (1) compare exposure measures and (2) assess whether exposure measures were differentially associated with alcohol consumption.

methodsWe tracked 231 adolescents 14-16 years of age from the San Francisco Bay Area for 4 weeks in 2015/2016 using global positioning systems (GPS). Participants were texted ecologic momentary assessment surveys six times per week, including assessment of alcohol consumption. We used GPS data to calculate exposure to alcohol outlets using three approach types: residence-based (e.g., within the home census tract), activity location-based (e.g., within buffer distances of frequently attended places), and activity path-based (e.g., average outlets per hour within buffer distances of GPS route lines). Spearman correlations compared exposure measures, and separate Tobit models assessed associations with the proportion of ecologic momentary assessment responses positive for alcohol consumption.

resultsMeasures were mostly strongly correlated within approach types (ρ ≥ 0.7), but weakly (ρ < 0.3) to moderately (0.3 ≤ ρ < 0.7) correlated between approach types. Associations with alcohol consumption were mostly inconsistent within and between approach types. Some of the residence-based measures (e.g., census tract: β = 8.3, 95% CI = 2.8, 13.8), none of the activity location-based approaches, and most of the activity path-based approaches (e.g., outlet-hours per hour, 100 m buffer: β = 8.3, 95% CI = 3.3, 13.3) were associated with alcohol consumption.

conclusionsMethodologic decisions regarding measurement of exposure to environmental conditions may affect study results.

Indexed as

Alcoholic BeveragesAnomieCultural DeprivationAdolescentData CollectionEcological Momentary AssessmentFemaleGeographic Information SystemsHumansMaleParent-Child RelationsPovertySan FranciscoStudent DropoutsSurveys and QuestionnairesUnderage Drinking

Identifiers

PMID30721163
PMCPMC6366320

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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.