OBJECTIVE: To examine the potential impact of visual personalized biomarker feedback on intention to stop smoking and to evaluate possible underlying causal pathways. DESIGN: This study is a pilot for a randomized controlled trial. Outcome measures were assessed immediately after the intervention and at 4 weeks follow-up. METHOD: Twenty-three smokers attending a cardiovascular outpatient clinic in London were randomly allocated to one of two groups: to either receive a print-out of an ultrasound image of their carotid artery showing atherosclerotic plaque alongside an image of a disease-free artery, or to receive routine verbal feedback. RESULTS: The intervention significantly increased perceptions of susceptibility to smoking-related diseases (Cohen's h=0.99) and led to increases both in engagement in smoking cessation behaviours (Cohen's h=0.79) and intentions to stop smoking (Cohn's d=0.44). The latter was moderated by self-efficacy: the intervention increased intention to stop smoking only in people with higher levels of self-efficacy with regard to stopping smoking. CONCLUSIONS: This study provides preliminary support for the potential effectiveness of personalized biomarker feedback to increase intentions to stop smoking. It also highlights the need to target and increase self-efficacy in smoking cessation interventions.
RCT Entities:
OBJECTIVE: To examine the potential impact of visual personalized biomarker feedback on intention to stop smoking and to evaluate possible underlying causal pathways. DESIGN: This study is a pilot for a randomized controlled trial. Outcome measures were assessed immediately after the intervention and at 4 weeks follow-up. METHOD: Twenty-three smokers attending a cardiovascular outpatient clinic in London were randomly allocated to one of two groups: to either receive a print-out of an ultrasound image of their carotid artery showing atherosclerotic plaque alongside an image of a disease-free artery, or to receive routine verbal feedback. RESULTS: The intervention significantly increased perceptions of susceptibility to smoking-related diseases (Cohen's h=0.99) and led to increases both in engagement in smoking cessation behaviours (Cohen's h=0.79) and intentions to stop smoking (Cohn's d=0.44). The latter was moderated by self-efficacy: the intervention increased intention to stop smoking only in people with higher levels of self-efficacy with regard to stopping smoking. CONCLUSIONS: This study provides preliminary support for the potential effectiveness of personalized biomarker feedback to increase intentions to stop smoking. It also highlights the need to target and increase self-efficacy in smoking cessation interventions.
Authors: Nicolas Rodondi; Reto Auer; Vanessa de Bosset Sulzer; William A Ghali; Jacques Cornuz Journal: J Gen Intern Med Date: 2011-09-01 Impact factor: 5.128
Authors: Heather M Johnson; Terry L Turke; Mark Grossklaus; Tara Dall; Sanford Carimi; Laura M Koenig; Susan E Aeschlimann; Claudia E Korcarz; James H Stein Journal: J Am Soc Echocardiogr Date: 2011-04-07 Impact factor: 5.251
Authors: Clare Watkinson; Esther M F van Sluijs; Stephen Sutton; Theresa Marteau; Simon J Griffin Journal: BMC Public Health Date: 2010-03-18 Impact factor: 3.295
Authors: Jennifer B McClure; Evette J Ludman; Louis Grothaus; Chester Pabiniak; Julie Richards Journal: Am J Prev Med Date: 2009-06-12 Impact factor: 5.043
Authors: Job G Godino; Clare Watkinson; Kirsten Corder; Theresa M Marteau; Stephen Sutton; Stephen J Sharp; Simon J Griffin; Esther M F van Sluijs Journal: PLoS One Date: 2013-09-16 Impact factor: 3.240