PURPOSE: In this study, we examined the influence of self-efficacy in predicting stage of change (SOC) movement, without intervention, over a 1-month period for smoking cessation, exercise adoption, and dietary fat reduction. DESIGN: The design of this study was longitudinal. Patients' stage of change and self-efficacy were assessed at baseline, and stage of change was reassessed at a 1-month follow-up. Patients were categorized as (1) Regressors (moved backward at least one stage), (2) Stables (no change), or (3) Progressors (moved forward at least one stage). Chi-square analyses were used to determine the ability of self-efficacy to predict stage movement at 1-month follow-up. SETTING: The data were collected at a large, inner city, academic hospital in the southeastern United States. Patients were attending primary care clinics. SUBJECTS: Five hundred fifty-four low income, predominantly African-American, individuals attending primary care clinics were participants in the study. MEASURES: Previously validated scales of stage of change and self-efficacy from Prochaska's laboratory were used in this study. RESULTS: Results showed statistically significant differences between predicted and actual SOC movement for smoking cessation, exercise adoption, and dietary fat intake reduction. Baseline self-efficacy ratings were significantly related to stage progression, regression, and stability of stage of change for all three health behaviors. Thirty-seven percent of smokers who were predicted to progress on the basis of their self-efficacy scores progressed. For exercise adoption and dietary fat reduction, 50% and 44%, respectively, of individuals expected to progress at least one stage on the basis of self-efficacy scores progressed. CONCLUSION: Self-efficacy influences SOC movement for smoking cessation, dietary fat reduction, and exercise adoption.
PURPOSE: In this study, we examined the influence of self-efficacy in predicting stage of change (SOC) movement, without intervention, over a 1-month period for smoking cessation, exercise adoption, and dietary fat reduction. DESIGN: The design of this study was longitudinal. Patients' stage of change and self-efficacy were assessed at baseline, and stage of change was reassessed at a 1-month follow-up. Patients were categorized as (1) Regressors (moved backward at least one stage), (2) Stables (no change), or (3) Progressors (moved forward at least one stage). Chi-square analyses were used to determine the ability of self-efficacy to predict stage movement at 1-month follow-up. SETTING: The data were collected at a large, inner city, academic hospital in the southeastern United States. Patients were attending primary care clinics. SUBJECTS: Five hundred fifty-four low income, predominantly African-American, individuals attending primary care clinics were participants in the study. MEASURES: Previously validated scales of stage of change and self-efficacy from Prochaska's laboratory were used in this study. RESULTS: Results showed statistically significant differences between predicted and actual SOC movement for smoking cessation, exercise adoption, and dietary fat intake reduction. Baseline self-efficacy ratings were significantly related to stage progression, regression, and stability of stage of change for all three health behaviors. Thirty-seven percent of smokers who were predicted to progress on the basis of their self-efficacy scores progressed. For exercise adoption and dietary fat reduction, 50% and 44%, respectively, of individuals expected to progress at least one stage on the basis of self-efficacy scores progressed. CONCLUSION: Self-efficacy influences SOC movement for smoking cessation, dietary fat reduction, and exercise adoption.
Authors: James F Thrasher; Kamala Swayampakala; K Michael Cummings; David Hammond; Dien Anshari; Dean M Krugman; James W Hardin Journal: Prev Med Date: 2016-03-10 Impact factor: 4.018
Authors: Hsiao-Lan Wang; Shannon M Christy; Celette S Skinner; Victoria L Champion; Jeffrey K Springston; Susan M Perkins; Yan Tong; Connie Krier; Netsanet Gebregziabher; Susan M Rawl Journal: Cancer Nurs Date: 2014 Jul-Aug Impact factor: 2.592
Authors: Elisa Martinez; Kristina L Tatum; Marcella Glass; Albert Bernath; Daron Ferris; Patrick Reynolds; Robert A Schnoll Journal: Addict Behav Date: 2009-09-19 Impact factor: 3.913
Authors: Jeffrey F Scherrer; Joanne Salas; Kathleen M Chard; Peter Tuerk; Carissa van den Berk-Clark; F David Schneider; Beth E Cohen; Patrick J Lustman; Paula P Schnurr; Matthew J Friedman; Sonya B Norman Journal: J Psychosom Res Date: 2019-10-15 Impact factor: 3.006