Evidence map›Paper›PMID 31415971›Full record

ArticleAddictive behaviors2019

An electronic, smart lighter to measure cigarette smoking: A pilot study to assess feasibility and initial validity.

Rachel L Tomko, Erin A McClure, Patrick A Cato, Julie B Wang, Matthew J Carpenter, Joshua L Karelitz, Brett Froeliger, Michael E Saladin, Kevin M Gray

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Observational
  7. Article
  8. 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 · 2021
    Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Rachel L TomkoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA. Electronic address: tomko@musc.edu.
Erin A McClureDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Patrick A CatoDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.
Julie B Wang24K Data, San Francisco, CA, USA.
Matthew J CarpenterDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA; Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA.
Joshua L KarelitzDepartment of Psychiatry, University of Pittsburgh Medical Center, Pittsburgh, PA, USA.
Brett FroeligerDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA; Hollings Cancer Center, Medical University of South Carolina, Charleston, SC, USA; Department of Neuroscience, Medical University of South Carolina, Charleston, SC, USA.
Michael E SaladinDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA; Department of Health Sciences and Research, Medical University of South Carolina, Charleston, SC, USA.
Kevin M GrayDepartment of Psychiatry and Behavioral Sciences, Medical University of South Carolina, Charleston, SC, USA.

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR001450 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T., FLUME, PATRICK A · 2015 to 2024
$41.1M
The Impact of Stress and Craving on Return to Postpartum Cannabis UseU54DA016511 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI KATHLEEN T. BRADY · 2018 to 2026
$15.9M
Vocational Training for Drug Dependent WomenP50DA016511 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2002 to 2017
$14.5M
Interdisciplinary Women's Health Research at MUSCK12HD055885 · NICHD · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCGINTY, JACQUELINE F. · 2007 to 2021
$7.2M
A Randomized Controlled Trial of Varenicline for Adolescent Smoking CessationU01DA031779 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GRAY, KEVIN M · 2012 to 2016
$3.3M
Technological Innovations for the Remote Monitoring of Smoking in AdolescentsK01DA036739 · NIDA · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI MCCLURE, ERIN A · 2014 to 2018
$771k
NCATS NIH HHS UL1 TR001450NICHD NIH HHS K12 HD055885NIDA NIH HHS K01 DA036739NIDA NIH HHS P50 DA016511NIDA NIH HHS U01 DA031779NIDA NIH HHS U54 DA016511
6 · The paper itself

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.

Indexed as

Smoking DevicesAdultCigarette SmokingFeasibility StudiesFemaleHumansMalePatient CompliancePersonal SatisfactionReproducibility of ResultsSelf ReportAmbulatory assessmentCigarettesDaily diaryMethodologyTechnologyTimeline followback

Identifiers

PMID31415971
PMCPMC6708757

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.