BACKGROUND: Social cognitive theories (e.g., ASE-model) propose that smoking cessation can be accomplished by changing underlying cognitive determinants such as attitudes, social influence, and self-efficacy. Others have argued that people's preferences for a health state can also predict behavior. In this study, preferences constitute the degree to which one is willing to give up a valuable good, that is survival, to obtain a desirable behavior (e.g., to quit smoking). The aim of this study is to investigate the impact of cognitive determinants and patients' preferences on the prediction of smoking cessation. METHODS: Data were collected as part of a randomized clinical trial. Smoking outpatients (N = 217) with cardiovascular disease were included. At baseline (T0), socio-demographic and clinical characteristics were measured. Social cognitions (pros of quitting, pros of smoking, social influence, and self-efficacy) and preferences (using a paper time trade-off measure (TTO)) were assessed at T1 (1 week). Smoking cessation was assessed at T2 (8 weeks). RESULTS: Logistic regression analysis showed that socio-demographic (P = .92) and clinical (P = .26) factors did not predict smoking cessation, whereas social cognitions (P = .02) and preferences did (P = .00). On average, quitters are willing to give up an appreciable amount of survival years in order to quit smoking. CONCLUSION: Preference for quitting was the strongest single predictor of smoking cessation.
RCT Entities:
BACKGROUND:Social cognitive theories (e.g., ASE-model) propose that smoking cessation can be accomplished by changing underlying cognitive determinants such as attitudes, social influence, and self-efficacy. Others have argued that people's preferences for a health state can also predict behavior. In this study, preferences constitute the degree to which one is willing to give up a valuable good, that is survival, to obtain a desirable behavior (e.g., to quit smoking). The aim of this study is to investigate the impact of cognitive determinants and patients' preferences on the prediction of smoking cessation. METHODS: Data were collected as part of a randomized clinical trial. Smoking outpatients (N = 217) with cardiovascular disease were included. At baseline (T0), socio-demographic and clinical characteristics were measured. Social cognitions (pros of quitting, pros of smoking, social influence, and self-efficacy) and preferences (using a paper time trade-off measure (TTO)) were assessed at T1 (1 week). Smoking cessation was assessed at T2 (8 weeks). RESULTS: Logistic regression analysis showed that socio-demographic (P = .92) and clinical (P = .26) factors did not predict smoking cessation, whereas social cognitions (P = .02) and preferences did (P = .00). On average, quitters are willing to give up an appreciable amount of survival years in order to quit smoking. CONCLUSION: Preference for quitting was the strongest single predictor of smoking cessation.
Authors: Arthur L Brody; Alexey G Mukhin; Michael S Mamoun; Trinh Luu; Meaghan Neary; Lidia Liang; Jennifer Shieh; Catherine A Sugar; Jed E Rose; Mark A Mandelkern Journal: JAMA Psychiatry Date: 2014-07-01 Impact factor: 21.596
Authors: Arthur L Brody; Alexey G Mukhin; Michael S Mamoun; Maggie Kozman; Jonathan Phuong; Meaghan Neary; Trinh Luu; Mark A Mandelkern Journal: Neuropsychopharmacology Date: 2013-02-21 Impact factor: 7.853
Authors: Anthony Jerant; Richard L Kravitz; Kevin Fiscella; Nancy Sohler; Raquel Lozano Romero; Bennett Parnes; Sergio Aguilar-Gaxiola; Charles Turner; Simon Dvorak; Peter Franks Journal: Patient Educ Couns Date: 2012-09-15