Health messages to promote fruit and vegetable consumption at different stages: A match-mismatch design

Objective: To examine the effectiveness of matching health messages promoting fruit and vegetable intake to the Health Action Process Approach stages of change. Design: In a randomised controlled trial, 205 undergraduate students (non-intenders n = 123; intenders n = 82) were exposed to one of three health messages, targeted at non-intenders, intenders and controls. Main outcome measures: Three longitudinal assessments of stage, fruit and vegetable intake, and social-cognitive determinants were obtained. Results: Stage-specific effects of the interventions were confirmed. For self-efficacy, a stage by health message crossover interaction emerged, with both non-intenders and intenders in the matched conditions scoring higher in self-efficacy. Furthermore, in line with predictions, non-intenders in the matched condition showed higher risk perception, outcome expectancies, intention, and stage progression immediately after message exposure, and lower levels of action planning and coping planning a week later in the mismatched condition, but for these outcomes no differences across conditions were obtained among intenders. Multiple mediation analyses confirmed the facilitating role of self-efficacy and behavioural intention among non-intenders. Conclusions: Stages should be considered when designing health messages, although more interactive interventions for intenders and extended measurement time frames may be required.

[1]  Martin S. Hagger,et al.  Implementation intention and action planning interventions in health contexts: state of the research and proposals for the way forward. , 2014, Applied psychology. Health and well-being.

[2]  M. Lima,et al.  Formative research on HAPA model determinants for fruit and vegetable intake: target beliefs for audiences at different stages of change. , 2013, Health education research.

[3]  C. Abraham,et al.  The Behavior Change Technique Taxonomy (v1) of 93 Hierarchically Clustered Techniques: Building an International Consensus for the Reporting of Behavior Change Interventions , 2013, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[4]  Natalie Schüz,et al.  Stages of health behavior change and mindsets: a latent class approach. , 2013, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[5]  R. Schwarzer,et al.  Enhancing planning strategies for sunscreen use at different stages of change. , 2012, Health education research.

[6]  Amelie U. Wiedemann,et al.  Multiple plans and memory performance: results of a randomized controlled trial targeting fruit and vegetable intake , 2012, Journal of Behavioral Medicine.

[7]  G. Godin,et al.  The impact of self-efficacy and implementation intentions-based interventions on fruit and vegetable intake among adults , 2012, Psychology & health.

[8]  S. Lippke,et al.  The More the Better? The Number of Plans Predicts Health Behaviour Change , 2011 .

[9]  Nina Knoll,et al.  Enhancing intentions to attend cervical cancer screening with a stage-matched intervention. , 2011, British journal of health psychology.

[10]  Dian Sheng Cao,et al.  Stage-matched minimal interventions to enhance physical activity in Chinese adolescents. , 2010, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[11]  Robert C Hornik,et al.  Use of mass media campaigns to change health behaviour , 2010, The Lancet.

[12]  Benjamin Schüz,et al.  Testing Stage-Specific Effects of a Stage-Matched Intervention: A Randomized Controlled Trial Targeting Physical Exercise and Its Predictors , 2010, Health education & behavior : the official publication of the Society for Public Health Education.

[13]  L. Pérusse,et al.  Effect of Implementation Intentions to Change Behaviour: Moderation by Intention Stability , 2010, Psychological reports.

[14]  Ralf Schwarzer,et al.  Modelando el cambio en el comportamiento de salud: Cómo predecir y modificar la adopción y el mantenimiento de comportamientos de salud/Modeling Health Behavior Change: How to Predict and Modify the Adoption and Maintenance of Health Behaviors , 2009 .

[15]  Benjamin Schüz,et al.  Prediction of stage transitions in fruit and vegetable intake. , 2009, Health education research.

[16]  M. Kliegel,et al.  Changes in self-regulatory cognitions as predictors of changes in smoking and nutrition behaviour , 2009, Psychology & health.

[17]  S. Moore,et al.  Global variability in fruit and vegetable consumption. , 2009, American journal of preventive medicine.

[18]  S. Lippke,et al.  Dietary Planning as a Mediator of the Intention Behavior Relation : An Experimental-Causal-Chain Design , 2008 .

[19]  M. Fishbein,et al.  Understanding tailoring in communicating about health. , 2008, Health education research.

[20]  Benjamin Schüz,et al.  Predicting transitions from preintentional, intentional and actional stages of change. , 2008, Health education research.

[21]  S. Noar,et al.  Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. , 2007, Psychological bulletin.

[22]  Ralf Schwarzer,et al.  Improving fruit and vegetable consumption: a self-efficacy intervention compared with a combined self-efficacy and planning intervention. , 2006, Health education research.

[23]  Benjamin Schüz,et al.  Stage-specific effects of an action control intervention on dental flossing. , 2006, Health education research.

[24]  P. Sheeran,et al.  Does changing behavioral intentions engender behavior change? A meta-analysis of the experimental evidence. , 2006, Psychological bulletin.

[25]  R. Mermelstein,et al.  Psychosocial Characteristics Associated with Sun Protection Practices Among Parents of Young Children , 2005, Journal of Behavioral Medicine.

[26]  P. Gollwitzer,et al.  The Interplay Between Goal Intentions and Implementation Intentions , 2005, Personality & social psychology bulletin.

[27]  Gaston Godin,et al.  Stages of motivational readiness for physical activity: a comparison of different algorithms of classification. , 2004, British journal of health psychology.

[28]  A. Steptoe,et al.  Psychological factors associated with fruit and vegetable intake and with biomarkers in adults from a low-income neighborhood. , 2003, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[29]  K. Courneya,et al.  Exercise and the transtheoretical model: a longitudinal test of a population sample. , 2001, Preventive medicine.

[30]  Alexander J. Rothman,et al.  Stage theories of health behavior: conceptual and methodological issues. , 1998, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[31]  J. Prochaska,et al.  Stages and processes of self-change of smoking: toward an integrative model of change. , 1983, Journal of consulting and clinical psychology.

[32]  C. Armitage,et al.  How useful are the stages of change for targeting interventions? Randomized test of a brief intervention to reduce smoking. , 2008, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.

[33]  M. Conner,et al.  Predicting health behaviour : research and practice with social cognition models , 2005 .

[34]  C. Judd,et al.  Data analysis: continuing issues in the everyday analysis of psychological data. , 1995, Annual review of psychology.

[35]  Roxanne Parrott,et al.  Designing health messages approaches from communication theory and public health practice , 1995 .

[36]  G. Vining,et al.  Data Analysis: A Model-Comparison Approach , 1989 .

[37]  N. Weinstein The precaution adoption process. , 1988, Health psychology : official journal of the Division of Health Psychology, American Psychological Association.