Research consistently demonstrates that a bout of moderate exercise alleviates cravings to smoke among abstaining smokers. This pilot study examined the effects of an acute bout of brisk walking on cigarette cravings and smoking topography. Using a within-subject, crossover design, two 10-minute treatment sessions were conducted on separate days by 19 participants(Mage = 24.6 years): passive (i.e., sitting) and brisk walking conditions. Participants rated cravings at baseline, midcondition, and at 0-, 10-, and 20-minutes postcondition and objective measures of smoking topography (puff count, puff duration, puff volume, interpuff interval [IPI], time to first puff [TTFP]) were obtained with the first cigarette smoked postcondition. A 2 (condition) × 4 (time) ANCOVA indicated lower desire to smoke (p< .05) during the walking condition than the passive condition. After the brisk walking condition, a series of ANOVAs demonstrated a significantly increased delay to first puff in comparison to the passive condition. Posthoc analyses (controlling for abstinence period) indicated significant lower puff volume and a trend for shorter puff duration following brisk walking in comparison to the passive sitting condition. A greater reduction in cravings was associated with a longer delay to first puff. In addition to reducing cravings, these results suggest that a bout of brisk walking may also change an individual's smoking behaviour.
I ntroduction: Characterising smoking behaviour in an objective and ecologically valid manner is integral to understanding health complications associated with tobacco use. Smoking topography (ST) provides a representation of the physical attributes of smoking. However, there is no clear guidance on ST data exclusion and reduction techniques and the impact of different techniques. Methods: A search was conducted using MEDLINE, PubMed, and Scopus and limited to studies published between 2001-2012. The search identified 23 studies using the CReSS device.Results: Few studies reported data reduction (n = 9) and exclusion (n = 4) criteria. Four data reduction techniques emerged and were applied to an existing dataset (n = 193, M age = 38.98, FTND = 5.19, mean 17.23 cigarettes/day). Using repeated measures ANOVA, there were significant (p < 0.05) differences among all techniques for puff volume, peak flow, puff duration and interpuff interval, which were attenuated upon controlling for puff count. Conclusions: This review highlights the inconsistency in the literature regarding the disclosure of smoking topography data treatment and provides clear evidence that outcomes vary depending on the technique used. Greater transparency is needed and consideration should be given by researchers to the potential impact of methodological decisions on study findings.
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