Prediction of stage transitions in fruit and vegetable intake

Health Education Research

Volumn 24, Issue 4, 2009, Pages 596-607

  Wiedemann, Amelie U ^a   Lippke, Sonia ^a   Reuter, Tabea ^a   Schüz, Benjamin ^b   Ziegelmann, Jochen P ^a   Schwarzer, Ralf ^a  

^a FREIE UNIVERSITÄT BERLIN   (Germany)

^b GERMAN CENTRE OF GERONTOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BEHAVIOR CHANGE; FOOD INTAKE; FRUIT; HEALTH BEHAVIOR; HEALTH PROGRAM; HEALTH PROMOTION; PRIORITY JOURNAL; RISK ASSESSMENT; SELF CONCEPT; SOCIAL SUPPORT; VEGETABLE;

ADOLESCENT; ADULT; AGED; ANALYSIS OF VARIANCE; CHI-SQUARE DISTRIBUTION; EDUCATIONAL STATUS; FEMALE; FOOD HABITS; FRUIT; HEALTH BEHAVIOR; HUMANS; LOGISTIC MODELS; LONGITUDINAL STUDIES; MALE; MIDDLE AGED; MOTIVATION; ONLINE SYSTEMS; PSYCHOLOGICAL THEORY; SELF EFFICACY; VEGETABLES;

EID: 67650931347     PISSN: 02681153     EISSN: 14653648     Source Type: Journal    
DOI: 10.1093/her/cyn061     Document Type: Article

References (48)

1. Weinstein ND, Rothman AJ, Sutton S. Stage theories of health behavior: conceptual and methodological issues. Health Psychol 1998; 17: 290-299 (Pubitemid 28277124)
2. Schwarzer R. Self-efficacy in the adoption and maintenance of health behaviors: theoretical approaches and a new model. In: Schwarzer R (ed.). Self-Efficacy: Thought Control of Action. Washington, DC: Hemisphere, 1992, 217-243
3. Schwarzer R. Modeling health behavior change: how to predict and modify the adoption and maintenance of health behaviors. Appl Psychol Int Rev 2008; 57: 1-29.
4. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process 1991; 50: 179-211.
5. Prochaska JO, DiClemente CC, Norcross JC. In search of how people change: applications to addictive behaviors. Am Psychol 1992; 47: 1102-1114
6. Noar SM, Benac C, Harris M. Does tailoring matter? Meta-analytic review of tailored print health behavior change interventions. Psychol Bull 2007; 133: 673-693
7. De Vet E, De Nooijer J, De Vries NK et al. Comparing stage of change and behavioral intention to understand fruit intake. Health Educ Res 2007; 22: 599-608. (Pubitemid 47216538)
8. Velicer WF, Prochaska JO. Stage and non-stage theories of behavior and behavior change: a comment on Schwarzer. Appl Psychol Int Rev 2008; 57: 75-83.e.
9. Vet E, Brug J, De Nooijer J et al. Determinants of forward stage transitions: a Delphi study. Health Educ Res 2005; 20: 195-205. (Pubitemid 40461476)
10. Dijkstra A, Tromp D, Conijn B. Stage-specific psychological determinants of stage transition. Br J Health Psychol 2003; 8: 423-437 (Pubitemid 37462079)
11. Schüz B, Sniehotta FF, Wiedemann AU et al. Predicting transitions from preintentional, intentional and actional stages.Health Educ Res. Advance Access published 31 January 2008; doi:10.1093/her/cym092.
12. Armitage CJ, Sheeran P, ConnerMet al. Stages of change or changes of stage? Predicting transitions in transtheoretical model stages in relation to healthy food choice. J Consult Clin Psychol 2004; 72: 491-499 (Pubitemid 38679646)
13. Conner M, Norman P. Predicting health behaviour: a social cognition approach. In: Conner M, Norman P (eds). Predicting Health Behaviour: Research and Practice With Social Cognition Models, 2nd edn. Buckingham: Open University Press, 2005, 1-28.
14. Gollwitzer PM, Sheeran P. Implementation intentions and goal achievement: a meta-analysis of effects and processes. Adv Exp Soc Psychol 2006; 38: 69-119.
15. Ziegelmann JP, Lippke S, Schwarzer R. Adoption and maintenance of physical activity: planning interventions in young, middle-aged, and older adults. Psychol Health 2006; 21: 145-163
16. Reuter T, Ziegelmann JP, Wiedemann AU et al. Dietary planning as a mediator of the intention-behavior relation: an experimental-causal-chain design. Appl Psychol Int Rev 2008; 57(Suppl):194-207.
17. Armitage CJ. Evidence that implementation intentions promote transitions between the stages of change. J Consult Clin Psychol 2006; 74: 141-151
18. Lippke S, Ziegelmann JP, Schwarzer R. Initiation and maintenance of physical exercise: stage-specific effects of a planning intervention. Res Sports Med 2004; 12: 221-240 (Pubitemid 41175187)
19. Courneya KS, Plotnikoff RC, Hotz SB et al. Predicting exercise stage transitions over two consecutive six month periods: a test of the theory of planned behavior in a populationbased sample. Br J Health Psychol 2001; 6: 135-150
20. DeVetE, de Nooijer J, de Vries NK et al. The transtheoretical model for fruit, vegetable and fish consumption: associations between intakes, stages of change and stage transition determinants. Int J Behav Nutr Phys Act 2006; 3: 13.
21. Brewer NT, Weinstein ND, Cuite CL et al. Risk perceptions and their relation to risk behavior. Ann Behav Med 2004; 27: 125-130
22. Courneya KS, Estabrooks PA, Nigg CR. Predicting change in exercise stage over a three year period: an application of the theory of planned behavior. Avante 1997; 3: 1-14.
23. Luszczynska A, Mazurkiewicz M, Ziegelmann JP et al. Recovery self-efficacy and intention as predictors of running or jogging behavior: a cross-lagged panel analysis over a two-year period. Psychol Sport Exerc 2007; 8: 247-260 (Pubitemid 44874006)
24. Scholz U, Sniehotta FF, Schwarzer R. Predicting physical exercise in cardiac rehabilitation: the role of phasespecific self-efficacy beliefs. J Sport Exerc Psychol 2005; 27: 135-151 (Pubitemid 40937732)
25. Schwarzer R, Schüz B, Ziegelmann JP et al. Adoption and maintenance of four health behaviours: theory-guided longitudinal studies on dental flossing, seat belt use, dietary behavior, and physical activity. Ann Behav Med 2007; 33: 156-166 (Pubitemid 47289494)
26. Khaw KT, Wareham N, Bingham S et al. Combined impact of health behaviours and mortality in men and women: the EPIC-Norfolk prospective population study. PLoS Med 2008; 5: 12. (Pubitemid 351198259)
27. The World Health Report 2002. Reducing Risks, Promoting Healthy Life. Geneva: WHO, 2002.
28. Rademacher JDM, Lippke S. Dynamic online surveys and experiments with the free open source software dynQuest. Behav Res Methods 2007; 39: 415-426
29. Enders CK. A primer on maximum likelihood algorithms available for use with missing data. Struct Equat Model 2001; 8: 128-141
30. Arbeitsgemeinschaft Online-Forschung e.V. Internet Facts 2007-IV. Darmstadt, Germany: AGOF e.V, 2008.
31. TNS Infratest. (N)Onliner-Atlas 2007. Berlin, Germany: TNS Infratest, 2007.
32. Grobecker C, Krack-Roberg E, Sommer E. Bevölkerung-sentwicklung 2004 [Population Development]. Wiesbaden, Germany: Statistisches Bundesamt, 2006.
33. Deutsche Gesellschaft für Ernährung e. V. Obst und Gemüse in der Prävention chronischer Krankheiten [Fruit and Vegetable in the Prevention of Chronic Diseases]. Bonn, Germany: Deutsche Gesellschaft für Ernährung e. V, 2007.
34. Robert Koch-Institut. Übergewicht und Adipositas, Gesundheitsberichterstattung des Bundes [Overweight and Obesity. National Health Report]. Berlin, Germany: Statistisches Bundesamt, 2003.
35. Baker A, Wardle J. Sex differences in fruit and vegetable intake. Appetite 2003; 40: 269-275
36. Lippke S, Ziegelmann JP, Schwarzer R et al. Validity of stage assessment in the adoption and maintenance of physical activity and fruit and vegetable consumption. Health Psychol in press.
37. Sniehotta FF, Schwarzer R, Scholz U et al. Action planning and coping planning for long-term lifestyle change: theory and assessment. Eur J Soc Psychol 2005; 35: 565-576 (Pubitemid 41054233)
38. Field AP. Discovering Statistics Using SPSS, 2nd edn. London: Sage, 2005.
39. De Nooijer J, Van Assema P, De Vet E et al. How stable are stages of change for nutrition behaviors in the Netherlands? Health Promot Int 2005; 20: 27-32.
40. Gollwitzer PM, Bayer UC, McCulloch KC. The control of the unwanted. In: Bargh JA, Uleman J, Hassin R (eds). Unintended Thought. New York: Guilford Press, 2005, 485-515.
41. Lippke S, Wiedemann AU, Ziegelmann JP et al. Self-efficacy moderates the mediation of intentions into behavior via plans. Am J Health Behav in press.
42. Wiedemann AU, Schüz B, Sniehotta FF et al. Disentangling the relation between intentions, planning, and behaviour: a moderated mediation analysis. Psychol Health in press.
43. Emmons KM, Barbeau EM, Gutheil C et al. Social influences, social context, and health behaviors among working-class, multi-ethnic adults. Health Educ Behav 2007; 34: 315-334
44. Renner B, Schüz B, Sniehotta FF. Preventive health behavior and adaptive accuracy of risk perceptions. Risk Anal 2008; 28: 741-748 (Pubitemid 351863586)
45. Marshall SJ, Biddle SJH. The transtheoretical model of behavior change: a meta-analysis of applications to physical activity and exercise. Ann Behav Med 2001; 23: 229-246 (Pubitemid 33134829)
46. Wright JA, Velicer WF, Prochaska JP. Testing the predictive power of the transtheoretical model of behavior change applied to dietary fat intake. Health Educ Res. Advance Access published 8 April 2008; doi:10.1093/her/cyn014.
47. Cook C, Heath F, Thompson RL. A meta-analysis of response rates in web- or Internet-based surveys. Educ Psychol Meas 2000; 60: 821-836
48. Nigg CR, Allegrante JP, Ory M. Theory-comparison and multiple-behavior research: common themes advancing health behavior research. Health Educ Res 2002; 17: 670-679 (Pubitemid 35178096)