Isaac C Rhew1, Philip M Hurvitz2, Rose Lyles-Riebli3, Christine M Lee4. 1. University of Washington, Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors, Box 357238, Seattle, WA 98195, USA. Electronic address: rhew@uw.edu. 2. Center for Studies in Demography and Ecology, University of Washington, 218L Raitt Hall, Box 353412, Seattle, WA 98195 USA; University of Washington, Urban Form Lab, 4333 Brooklyn Ave NE, Seattle, WA 98105-9446, USA. Electronic address: phurvitz@uw.edu. 3. University of Washington, Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors, Box 357238, Seattle, WA 98195, USA. Electronic address: analyles@uw.edu. 4. University of Washington, Department of Psychiatry and Behavioral Sciences, Center for the Study of Health and Risk Behaviors, Box 357238, Seattle, WA 98195, USA. Electronic address: leecm@uw.edu.
Abstract
BACKGROUND: This study demonstrates the use of geographic ecological momentary assessment (GEMA) methods among young adult marijuana users. METHOD: Participants were 14 current marijuana users ages 21-27 living in Greater Seattle, Washington. They completed brief surveys four times per day for 14 consecutive days, including measures of marijuana use and desire to use. They also carried a GPS data logger that tracked their spatial movements over time. RESULTS: Participants completed 80.1% of possible EMA surveys. Using the GPS data, we calculated daily number of exposures to (i.e., within 100-m of) marijuana retail outlets (mean = 3.9 times per day; SD = 4.4) and time spent per day in high poverty census tracts (mean = 7.3 h per day in high poverty census tracts; SD = 5.1). CONCLUSIONS: GEMA may be a promising approach for studying the role spatio-temporal factors play in marijuana use and related factors.
BACKGROUND: This study demonstrates the use of geographic ecological momentary assessment (GEMA) methods among young adult marijuana users. METHOD: Participants were 14 current marijuana users ages 21-27 living in Greater Seattle, Washington. They completed brief surveys four times per day for 14 consecutive days, including measures of marijuana use and desire to use. They also carried a GPS data logger that tracked their spatial movements over time. RESULTS: Participants completed 80.1% of possible EMA surveys. Using the GPS data, we calculated daily number of exposures to (i.e., within 100-m of) marijuana retail outlets (mean = 3.9 times per day; SD = 4.4) and time spent per day in high poverty census tracts (mean = 7.3 h per day in high poverty census tracts; SD = 5.1). CONCLUSIONS: GEMA may be a promising approach for studying the role spatio-temporal factors play in marijuana use and related factors.
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