Key result
Indicators derived from a non-linear fold catastrophe model of video-assisted smoking topography, such as average puff speed, were significantly correlated with DSM-IV nicotine dependence scores (r=0.64 to 0.93).
Why the study?
Can video-assisted smoking topography provide objective measures indicative of nicotine dependence in cigarette smokers?
Cross-Sectional (n=10)
No
Can video-assisted smoking topography provide objective measures indicative of nicotine dependence in cigarette smokers?
Video-assisted smoking topography may offer a non-invasive, objective method to measure nicotine dependence, correlating well with standard self-report scales.
Answers are grounded in this paper and cite their sources.
May support objective nicotine dependence assessment via video topography; hypothesis-generating and requires validation before clinical use.
INTRODUCTION: Addressing nicotine dependence is key to effective smoking cessation. While self-report measures of nicotine dependence are often challenged for their reliability and validity, there is a lack of non-invasive and inexpensive objective measures of nicotine dependence. In this study, we aimed to explore the potential of using video-assisted smoking topography to derive objective measures indicative of nicotine dependence with the guidance of nicotine-receptor-based self-titration theory. METHODS: Videotaped topography data were collected for one episode of smoking a whole cigarette the first time of the day from 10 cigarette smokers with diverse racial backgrounds (4 males and 6 females, mean age = 27 years, SD = 7.2). Temporal patterns of individual topographic measures (i.e. puff interval, puff speed, puff duration, inhalation duration, and rest duration) were measured and plotted against time. Levels of nicotine dependence were evaluated using three standard scales, including the 14-item DSM-IV scale, the 6-item ICD-10 scale, and the 6-item Fagerström Test of Nicotine Dependence. Both linear and non-linear fold catastrophe dynamic models were used to fit the data. RESULTS: from 0.11 to 0.99), especially puff speed. The indicators derived from the fitted fold catastrophe curve (e.g. average puff speed) were significantly associated with nicotine dependence scores, especially DSM-IV scale scores (r from 0.64 to 0.93). CONCLUSIONS: Study findings suggest the potential to objectively and non-invasively measure nicotine dependence using video-assisted smoking topography.
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Chen et al. (2018) conducted a cross-sectional in Nicotine dependence (n=10). Video-assisted smoking topography was evaluated on Correlation between topographic indicators derived from fold catastrophe curve and DSM-IV nicotine dependence scores (r=0.64 to 0.93, p=<0.05). Indicators derived from a non-linear fold catastrophe model of video-assisted smoking topography, such as average puff speed, were significantly correlated with DSM-IV nicotine dependence scores (r=0.64 to 0.93).
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