Evidence map›Paper›PMID 37125003›Full record

ArticleTobacco prevention & cessation2023

Self-efficacy in predicting smoking cessation: A prospective study in Italy.

Silvano Gallus, Chiara Cresci, Vera Rigamonti, Alessandra Lugo, Vincenzo Bagnardi, Tiziana Fanucchi, Donatello Cirone, Angela Ciaccheri, Salvatore Cardellicchio

Abstract read
In one paragraph

Article in Tobacco prevention & cessation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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.

Silvano GallusDepartment of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Chiara CresciAnti-smoking center, Careggi University Hospital, Florence, Italy.
Vera RigamontiDepartment of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Alessandra LugoDepartment of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy.
Vincenzo BagnardiDepartment of Statistics and Quantitative Methods, University of Milan-Bicocca, Milan, Italy.
Tiziana FanucchiASST Fatebenefratelli Sacco, Milan, Italy.
Donatello CironeTuscan Regional Alcoholic Center, Careggi University Hospital, Florence, Italy.
Angela CiaccheriAnti-smoking center, Careggi University Hospital, Florence, Italy.
Salvatore CardellicchioAnti-smoking center, Careggi University Hospital, Florence, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPredicting the success of smoking cessation might be crucial to guide towards the treatment of smoking dependence in a clinical setting. We analyzed the potential determinants of successful smoking cessation with a specific focus on self-efficacy in predicting quitting smoking.

methodsAll consecutive smokers (n=478; 224 men and 254 women) attending the Careggi University Hospital Smoking Cessation Service in Florence (Italy) in 2018-2019 provided information on self-efficacy in predicting smoking cessation, using a 1-10 rating scale during their first visit. Patients were followed up for success in quitting smoking at 3, 6 and 12 months, validated through CO exhaled measurement. To evaluate the association between self-efficacy and the probability of success, we estimated multivariable relative risks (RRs) and corresponding 95% confidence intervals (CIs) through log-binomial models for longitudinal data.

resultsOverall, 47.9% of smokers succeeded in their attempt to quit at 3 months, 40.2% at 6 months, and 33.9% at 12 months. Compared to low self-efficacy (rating scale 1-5), the RR of success in quitting smoking was 1.40 (95% CI: 1.06-1.85) for intermediate self-efficacy (scale 6-7) and 1.64 (95% CI: 1.28-2.12) for high self-efficacy (scale 8-10).

conclusionsSelf-efficacy is an independent determinant of smoking cessation. We recommend to systematically collect self-efficacy, together with other relevant variables, to predict successful smoking cessation. Moreover, strategies to develop and maintain high levels of self-efficacy are essential to increase quit success and improve treatment.

Indexed as

self-efficacysmoking cessationsmoking cessation servicetobacco smoking

Identifiers

PMID37125003
PMCPMC10141785

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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.