Geographic ecological momentary assessment methods to examine spatio-temporal exposures associated with marijuana use among young adults: A pilot study

Author(s):  
Isaac C. Rhew ◽  
Philip M. Hurvitz ◽  
Rose Lyles-Riebli ◽  
Christine M. Lee
2019 ◽  
Vol 91 ◽  
pp. 30-36 ◽  
Author(s):  
Maria R. Cooper ◽  
Kathleen R. Case ◽  
Emily T. Hébert ◽  
Elizabeth A. Vandewater ◽  
Kristen A. Raese ◽  
...  

2019 ◽  
Vol 92 ◽  
pp. 38-46 ◽  
Author(s):  
Carla J. Berg ◽  
Regine Haardörfer ◽  
Jackelyn B. Payne ◽  
Betelihem Getachew ◽  
Milkie Vu ◽  
...  

2017 ◽  
Vol 52 (9) ◽  
pp. 1208-1213 ◽  
Author(s):  
Megan E. Roberts ◽  
Bo Lu ◽  
Christopher R. Browning ◽  
Amy K. Ferketich

10.2196/10806 ◽  
2018 ◽  
Vol 4 (2) ◽  
pp. e10806
Author(s):  
Diane Santa Maria ◽  
Nikhil Padhye ◽  
Yijiong Yang ◽  
Kathryn Gallardo ◽  
Michael Businelle

Author(s):  
Deepa R. Camenga ◽  
Angela M. Haeny ◽  
Suchitra Krishnan-Sarin ◽  
Stephanie S. O’Malley ◽  
Krysten W. Bold

Background: Dual use of e-cigarettes and combustible tobacco products is common in young adults. We aimed to explore how ratings of subjective and contextual factors differed between discrete episodes of e-cigarette use vs. combustible tobacco product smoking among a sample of young adults. Methods: Young adults (N = 29, ages 18–30) who used e-cigarettes and ≥1 combustible tobacco product at least once weekly completed a 1-week smartphone-based ecological momentary assessment (EMA). Twice daily random prompts assessed past-15-min use of tobacco products, ratings of subjective factors (e.g., negative affect, craving), and contextual factors related to activity, location, and companionship. A multivariable GEE model assessed whether subjective or contextual factors were associated with e-cigarette vs. combustible tobacco product episodes. Results: 184 tobacco use episodes were reported (39.7% e-cigarette, 60.3% combustible tobacco product). High baseline cigarette dependence, as measured by the Fagerström Test for Cigarette Dependence, was associated with lower odds of e-cigarette vs. combustible tobacco product episodes (aOR 0.01, 95% CI (0.002–0.08); p < 0.001). Neither between- or within-subjects negative affect or craving scores were associated with e-cigarette use. Activities of eating/drinking (aOR 0.20, 95% CI (0.08–0.49); p = 0.001) and being in the companionship of a person who smoked cigarettes (aOR 0.13, 95% CI (0.04–0.43); p = 0.001) were associated with lower odds of e-cigarette vs. combustible tobacco product use episodes. However, traveling (aOR 12.02, 95% CI (3.77–38.26); p ≤ 0.001) and being in a public space (aOR 2.76, 95% CI (1.10–6.96); p = 0.03) were associated with higher odds of e-cigarette than combustible tobacco product use episodes. Conclusions: This pilot data suggests that unique contextual factors may be associated with e-cigarette use, compared to combustible tobacco smoking in a sample of young adults who use both e-cigarettes and combustible tobacco products. Future research with larger samples is needed to better characterize varying contexts and cues for tobacco use among young adults who are dual users.


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