Assessing Individuals’ Exposure to Environmental Conditions Using Residence-Based Measures, Activity Location-Based Measures, and Activity Path-Based Measures

dc.contributor.authorMorrison, Christopher N.
dc.contributor.authorByrnes, Hilary F.
dc.contributor.authorMiller, Brenda A.
dc.contributor.authorKaner, Emily
dc.contributor.authorWiehe, Sarah E.
dc.contributor.authorPonicki, William R.
dc.contributor.authorWiebe, Douglas J.
dc.contributor.departmentPediatrics, School of Medicineen_US
dc.date.accessioned2022-04-19T14:40:00Z
dc.date.available2022-04-19T14:40:00Z
dc.date.issued2019-03
dc.description.abstractBackground: Many 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. Methods: We 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. Results: Measures 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. Conclusions: Methodologic decisions regarding measurement of exposure to environmental conditions may affect study results.en_US
dc.eprint.versionAuthor's manuscripten_US
dc.identifier.citationMorrison CN, Byrnes HF, Miller BA, Kaner E, Wiehe SE, Ponicki WR, Wiebe DJ. Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures. Epidemiology. 2019 Mar;30(2):166-176. doi: 10.1097/EDE.0000000000000940. PMID: 30721163; PMCID: PMC6366320.en_US
dc.identifier.urihttps://hdl.handle.net/1805/28547
dc.language.isoen_USen_US
dc.publisherWolters Kluweren_US
dc.relation.isversionof10.1097/EDE.0000000000000940en_US
dc.relation.journalEpidemiologyen_US
dc.rightsPublisher Policyen_US
dc.sourcePMCen_US
dc.subjectEnvironmenten_US
dc.subjectWeights and measuresen_US
dc.subjectSurveys and questionnairesen_US
dc.subjectGeographic information systemsen_US
dc.subjectAlcohol drinkingen_US
dc.subjectAdolescenten_US
dc.titleAssessing Individuals’ Exposure to Environmental Conditions Using Residence-Based Measures, Activity Location-Based Measures, and Activity Path-Based Measuresen_US
dc.typeArticleen_US
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