Evidence map›Paper›PMID 37565122›Full record

ArticleCureus2023

Why Can't I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program.

Regina G Moore Ude, R Patti Herring, Mohamed Ismail, Keiji Oda, Khaled Bahjri, Wenes P Reis, Josileide Gaio, Hildemar Dos Santos

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 40% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Regina G Moore UdeHealth and Human Ecology, California State University, San Bernardino, USA.
R Patti HerringSchool of Public Heath, Loma Linda University Medical Center, Loma Linda, USA.
Mohamed IsmailInternal Medicine, Kaiser Permanente, Riverside, USA.
Keiji OdaSchool of Public Health, Loma Linda University Medical Center, Loma Linda, USA.
Khaled BahjriClinical Research, New World Medical, Rancho Cucamonga, USA.
Wenes P ReisPublic Health, Loma Linda University Medical Center, Loma Linda, USA.
Josileide GaioPublic Health, Loma Linda University Medical Center, Loma Linda, USA.
Hildemar Dos SantosPreventive Care, Loma Linda University School of Public Health, Loma Linda, USA.
Loma Linda University Medical Center · USCalifornia State University, San Bernardino · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction  As the leading cause of preventable chronic diseases in adults 18 years and older, tobacco usage in the U.S. results in over 20 million premature deaths annually. Current smokers might need extra support on the path to successfully quitting.  Aim To evaluate the influence of predictors of smoking-on-smoking cessation in the Freedom From Tobacco Program (FFT) offered by Southern California Permanente Medical Group (SCPMG). Methods This was a quasi-experimental study to evaluate rates of smoking cessation among participants in the FFT program. There were 471 participants in the study. Factors of the Social Ecological Model (SEM) and demographics were examined to determine if they could predict tobacco cessation. The SEM suggests that an individual's behavior is integrated into a network of intrapersonal characteristics, interpersonal processes, institutional factors, community features, and public policy. In particular, the study mainly addressed the institutional factor. It was promoted within a Health Management Organization and the interpersonal process because it was a group intervention.  Findings  After multiple regression analyses with all predictors from the SEM and demographics, the only significant predictor was the number of previous attempts to quit. Smokers who tried to stop four or more times in the past were 2.6 times (p<0.03) more likely to quit than those who tried fewer times. As we are aware, this was the first time this result was found for programs implemented by Health Management Organizations. The general quit rate at 12 months for the FFT program was 43.1%. Conclusion As the only predictor of quitting in this study was the number of previous attempts to quit smoking, the recommendation is to develop longer-term smoking cessation programs or a longer follow-up to facilitate smokers who relapse to go back and try to quit again. Another recommendation is to identify the main reasons for relapse and try to address these factors in further interventions.

Indexed as

freedom from tobacco programsmokingsmoking cessationsocial-ecological modelsouthern california permanente medical group

Identifiers

PMID37565122
PMCPMC10411653
OpenAlexW4383874410

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.