@Article{info:doi/10.2196/mhealth.9292,
author="Silverman-Lloyd, Luke G
and Kianoush, Sina
and Blaha, Michael J
and Sabina, Alyse B
and Graham, Garth N
and Martin, Seth S",
title="mActive-Smoke: A Prospective Observational Study Using Mobile Health Tools to Assess the Association of Physical Activity With Smoking Urges",
journal="JMIR Mhealth Uhealth",
year="2018",
month="May",
day="11",
volume="6",
number="5",
pages="e121",
keywords="activity trackers; cigarette smoking; exercise; fitness trackers; mobile health; mHealth; physical activity; smartphone; smoking; text messaging; texting",
abstract="Background: Evidence that physical activity can curb smoking urges is limited in scope to acute effects and largely reliant on retrospective self-reported measures. Mobile health technologies offer novel mechanisms for capturing real-time data of behaviors in the natural environment. Objective: This study aimed to explore this in a real-world longitudinal setting by leveraging mobile health tools to assess the association between objectively measured physical activity and concurrent smoking urges in a 12-week prospective observational study. Methods: We enrolled 60 active smokers (≥3 cigarettes per day) and recorded baseline demographics, physical activity, and smoking behaviors using a Web-based questionnaire. Step counts were measured continuously using the Fitbit Charge HR. Participants reported instantaneous smoking urges via text message using a Likert scale ranging from 1 to 9. On study completion, participants reported follow-up smoking behaviors in an online exit survey. Results: A total of 53 participants (aged 40 [SD 12] years, 57{\%} [30/53] women, 49{\%} [26/53] nonwhite) recorded at least 6 weeks of data and were thus included in the analysis. We recorded 15,365 urge messages throughout the study, with a mean of 290 (SD 62) messages per participant. Mean urge over the course of the study was positively associated with daily cigarette consumption at follow-up (Pearson r=.33; P=.02). No association existed between daily steps and mean daily urge (beta=−6.95{\texttimes}10−3 per 1000 steps; P=.30). Regression models of acute effects, however, did reveal modest inverse associations between steps within 30-, 60-, and 120-min time windows of a reported urge (beta=−.0191 per 100 steps, P<.001). Moreover, 6 individuals (approximately 10{\%} of the study population) exhibited a stronger and consistent inverse association between steps and urge at both the day level (mean individualized beta=−.153 per 1000 steps) and 30-min level (mean individualized beta=−1.66 per 1000 steps). Conclusions: Although there was no association between objectively measured daily physical activity and concurrently self-reported smoking urges, there was a modest inverse relationship between recent step counts (30-120 min) and urge. Approximately 10{\%} of the individuals appeared to have a stronger and consistent inverse association between physical activity and urge, a provocative finding warranting further study. ",
issn="2291-5222",
doi="10.2196/mhealth.9292",
url="http://mhealth.jmir.org/2018/5/e121/",
url="https://doi.org/10.2196/mhealth.9292",
url="http://www.ncbi.nlm.nih.gov/pubmed/29752250"
}