Cargando…

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

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Moore Ude, Regina G, Herring, R. Patti, Ismail, Mohamed, Oda, Keiji, Bahjri, Khaled, Reis, Wenes P, Gaio, Josileide, Dos Santos, Hildemar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cureus 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411653/
https://www.ncbi.nlm.nih.gov/pubmed/37565122
http://dx.doi.org/10.7759/cureus.41649
_version_ 1785086712020467712
author Moore Ude, Regina G
Herring, R. Patti
Ismail, Mohamed
Oda, Keiji
Bahjri, Khaled
Reis, Wenes P
Gaio, Josileide
Dos Santos, Hildemar
author_facet Moore Ude, Regina G
Herring, R. Patti
Ismail, Mohamed
Oda, Keiji
Bahjri, Khaled
Reis, Wenes P
Gaio, Josileide
Dos Santos, Hildemar
author_sort Moore Ude, Regina G
collection PubMed
description 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. 
format Online
Article
Text
id pubmed-10411653
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cureus
record_format MEDLINE/PubMed
spelling pubmed-104116532023-08-10 Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program Moore Ude, Regina G Herring, R. Patti Ismail, Mohamed Oda, Keiji Bahjri, Khaled Reis, Wenes P Gaio, Josileide Dos Santos, Hildemar Cureus Public Health 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.  Cureus 2023-07-10 /pmc/articles/PMC10411653/ /pubmed/37565122 http://dx.doi.org/10.7759/cureus.41649 Text en Copyright © 2023, Moore Ude et al. https://creativecommons.org/licenses/by/3.0/This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Public Health
Moore Ude, Regina G
Herring, R. Patti
Ismail, Mohamed
Oda, Keiji
Bahjri, Khaled
Reis, Wenes P
Gaio, Josileide
Dos Santos, Hildemar
Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title_full Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title_fullStr Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title_full_unstemmed Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title_short Why Can’t I Stop Smoking: Predictors of Tobacco Use and Quit Rates in the Freedom From Tobacco Program
title_sort why can’t i stop smoking: predictors of tobacco use and quit rates in the freedom from tobacco program
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10411653/
https://www.ncbi.nlm.nih.gov/pubmed/37565122
http://dx.doi.org/10.7759/cureus.41649
work_keys_str_mv AT mooreudereginag whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT herringrpatti whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT ismailmohamed whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT odakeiji whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT bahjrikhaled whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT reiswenesp whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT gaiojosileide whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram
AT dossantoshildemar whycantistopsmokingpredictorsoftobaccouseandquitratesinthefreedomfromtobaccoprogram