ArticlePLOS digital health2025
Feasibility and efficacy of a real-time smoking intervention using wearable technology.
Article in PLOS digital health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Tobacco Use Trajectories and Associated Changes in Biometrics and Sleep During the First 72 Weeks of Wearable Membership: Observational Cohort Study.JMIR mHealth and uHealth · 2026Observational
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Wearable technology can use gesture detection to identify smoking behavior and provide real-time feedback. Receiving notifications when smoking occurs may help increase awareness of smoking behavior to help promote change. The current study sought to examine the feasibility and preliminary efficacy of using a smartband for real-time smoking feedback as an adjunct to standard tobacco treatment in an outpatient hospital setting. We enrolled 38 adults (age M = 57.4, SD = 8.5, 63% female, race/ethnicity: 16% Hispanic, 68% White, 24% Black, 5% Multiracial) who smoked cigarettes daily (M = 17.2, SD = 10.9 cigarettes per day). All received standard tobacco treatment and participants were randomized to a control group (n = 20) or experimental group (receiving real-time smoking notifications from a smartband, n = 18) for 8 weeks. Participants wore the smartband on average for 45.6 (SD = 17.0) days out of the 56 days of treatment and 83.3% said they would recommend the smartband to others to help them quit smoking, indicating high adherence and satisfaction. Measures of smoking behavior favored the experimental group, although differences were not statistically significant. Rates of biochemically confirmed 7-day point-prevalence abstinence were 11% and 5% for the experimental and control groups, respectively. Those in the experimental group reported more percent days smoke-free (M = 12.4%, SD = 27.2% vs. control M = 6.9%, SD = 14.6%, cohen's d = .26) and had larger reductions in cigarettes smoked per day (CPD) (mean change in CPD = 10.2, SD = 12.2 vs. control mean change in CPD = 7.7, SD = 6.5, cohen's d = .26) during treatment. Findings support the feasibility of using smartband technology for smoking monitoring with adults from an outpatient hospital setting and show promise for improving cessation outcomes above and beyond standard tobacco treatment. Additional large-scale clinical trials are needed.
Identifiers
What Socratic holds
Registered trials
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 Socratic graph.