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 Wiehe, William R. Ponicki, Douglas J. Wiebe

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

BACKGROUND: 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.

Original languageEnglish (US)
Pages (from-to)166-176
Number of pages11
JournalEpidemiology (Cambridge, Mass.)
Volume30
Issue number2
DOIs
StatePublished - Mar 1 2019

Fingerprint

Environmental Exposure
Alcohol Drinking
Geographic Information Systems
Buffers
Censuses
Alcohols
San Francisco
Research Personnel
Health

ASJC Scopus subject areas

  • Epidemiology

Cite this

Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures. / Morrison, Christopher N.; Byrnes, Hilary F.; Miller, Brenda A.; Kaner, Emily; Wiehe, Sarah; Ponicki, William R.; Wiebe, Douglas J.

In: Epidemiology (Cambridge, Mass.), Vol. 30, No. 2, 01.03.2019, p. 166-176.

Research output: Contribution to journalArticle

Morrison, Christopher N. ; Byrnes, Hilary F. ; Miller, Brenda A. ; Kaner, Emily ; Wiehe, Sarah ; Ponicki, William R. ; Wiebe, Douglas J. / Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures. In: Epidemiology (Cambridge, Mass.). 2019 ; Vol. 30, No. 2. pp. 166-176.
@article{101c5df8afa0401aa588c7f67893e81c,
title = "Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures",
abstract = "BACKGROUND: 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.",
author = "Morrison, {Christopher N.} and Byrnes, {Hilary F.} and Miller, {Brenda A.} and Emily Kaner and Sarah Wiehe and Ponicki, {William R.} and Wiebe, {Douglas J.}",
year = "2019",
month = "3",
day = "1",
doi = "10.1097/EDE.0000000000000940",
language = "English (US)",
volume = "30",
pages = "166--176",
journal = "Epidemiology",
issn = "1044-3983",
publisher = "Lippincott Williams and Wilkins",
number = "2",

}

TY - JOUR

T1 - Assessing Individuals' Exposure to Environmental Conditions Using Residence-based Measures, Activity Location-based Measures, and Activity Path-based Measures

AU - Morrison, Christopher N.

AU - Byrnes, Hilary F.

AU - Miller, Brenda A.

AU - Kaner, Emily

AU - Wiehe, Sarah

AU - Ponicki, William R.

AU - Wiebe, Douglas J.

PY - 2019/3/1

Y1 - 2019/3/1

N2 - BACKGROUND: 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.

AB - BACKGROUND: 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.

UR - http://www.scopus.com/inward/record.url?scp=85061153818&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85061153818&partnerID=8YFLogxK

U2 - 10.1097/EDE.0000000000000940

DO - 10.1097/EDE.0000000000000940

M3 - Article

C2 - 30721163

AN - SCOPUS:85061153818

VL - 30

SP - 166

EP - 176

JO - Epidemiology

JF - Epidemiology

SN - 1044-3983

IS - 2

ER -