ArticleInternational journal of behavioral medicine2020
In Lieu of Smoking: Are Smokers More Likely to Enact Certain Types of Implementation Intention Plans During a JIT Smoking Cessation?
Article in International journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled 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.
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
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Toward Participatory Precision Health With Co-Designed Recommendations: Systematic Review of Just-in-Time Adaptive Interventions in Adolescents and Young Adults.Journal of medical Internet research · 2026Pooled it
- A bibliometric analysis of research on the application of just-in-time adaptive interventions in mental health.Medicine · 2026Review
- Validation and Psychometric Properties of the Tobacco Urge Management Scale (TUMS).International journal of environmental research and public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundTo identify actionable and effective implementation intention (II) plans, we examined whether (a) IIs suggesting food or nicotine-based substitution strategies to help quit smoking cigarettes would be more likely to be enacted in real time, (b) IIs reminding participants to cognitively motivate themselves or engage in solitary activity would be more likely to be enacted than those suggesting seeking social support, and (c) II plan enactment based on the above strategies would be associated with reporting momentary lapse avoidance.
methodA sample of 57 Asian American young adult (18-25 years) smokers participated in a 4-week, mobile-based smoking cessation intervention, implemented in a Just-In-Time framework. User-specified IIs were categorized into nature of activity (cognitively motivate themselves, engage in solitary activity, seek social support) and type of substitution strategy (food, nicotine, no substitution). Outcome variable was momentary enactment of the given II. Generalized mixed linear models were used for analyses.
resultsIIs reminding participants to cognitively motivate themselves and/or engage in solitary activities were more likely to be enacted than IIs recommending seeking social support. IIs recommending nicotine-based substitution were more likely to be enacted than IIs that did not specify any substitution. IIs suggesting food-based substitution, however, were less likely to be enacted than those not suggesting a specific substitution. II plan enactment based on the above strategies was significantly associated with avoiding momentary lapses compared to when momentary lapses occurred.
conclusionSpecifying II recommendations found to be helpful with avoiding lapses in a smoking cessation context, can increase chances of II enactment, and improve overall health intervention outcomes.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.