ArticleAddictive behaviors2019
An electronic, smart lighter to measure cigarette smoking: A pilot study to assess feasibility and initial validity.
Article in Addictive behaviors, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Relative importance of temporal and location features in predicting smoking events.NPJ digital medicine · 2025Article
- Switching behavior and changes in smoking behavior by menthol cigarette preference and menthol heated tobacco product use among adults in the United States who smoke cigarettes: an actual use study.Harm reduction journal · 2025Article
- Assessing computational reproducibility in Behavior Research Methods.Behavior research methods · 2024Article
- Perceptions of the Use of Mobile Technologies for Smoking Cessation: Focus Group Study With Individuals of Low Socioeconomic Status Who Smoke.JMIR formative research · 2024Article
- Measurement of cigarette smoking: Comparisons of global self-report, returned cigarette filters, and ecological momentary assessment.Experimental and clinical psychopharmacology · 2022Article
- Characterizing and Modeling Smoking Behavior Using Automatic Smoking Event Detection and Mobile Surveys in Naturalistic Environments: Observational Study.JMIR mHealth and uHealth · 2022Observational
- Comparing video observation to electronic topography device as a method for measuring cigarette puffing behavior.Drug and alcohol dependence · 2021Article
- Mobile, Remote, and Individual Focused: Comparing Breath Carbon Monoxide Readings and Abstinence Between Smartphone-Enabled and Stand-Alone Monitors.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021Article
- Making pharmacotherapy trials for substance use disorder more efficient: Leveraging real-world data capture to maximize power and expedite the medication development pipeline.Drug and alcohol dependence · 2020Article
- Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Understanding variability in smoking patterns may inform smoking cessation interventions. Retrospective reports of cigarettes smoked per day may be biased and typically do not provide temporal precision regarding when cigarettes are smoked. However, real-time, user-initiated tracking, such as logging each time a cigarette is smoked, can be burdensome over long time frames. In this study, adult, non-treatment seeking daily smokers (N = 22) used an electronic, smart lighter to light and timestamp cigarettes for 14 days. Participants reported number of cigarettes smoked per day (CPD) via a mobile device (daily diary) and retrospectively reported CPD at the end of the study using the Timeline Followback (TLFB). Self-reported lighter satisfaction and adherence varied with 68% of participants reporting that they liked using the lighter and participants reporting using the lighter for 92% of cigarettes smoked, on average. Lighter-estimated CPD did not differ from daily diary-estimated CPD, but was significantly lower than TLFB estimates. The lighter resulted in greater day-to-day variability relative to other methods and fewer rounded cigarette counts (digit bias) relative to the TLFB. The lighter appears to be feasible for capturing data on smoking patterns in daily smokers. Though false positive cigarettes are likely low, additional technologies that augment data captured from the lighter may be necessary to reduce false negatives (missed cigarettes) and alternative lighter designs may appeal more to certain smokers.
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Registered trials
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