PREVIEW study—influence of a behavior modification intervention (PREMIT) in over 2300 people with pre-diabetes: intention, self-efficacy and outcome expectancies during the early phase of a lifestyle intervention
Authors Huttunen-Lenz M, Hansen S, Christensen P, Meinert Larsen T, Sandø-Pedersen F, Drummen M, Adam TC, Macdonald IA, Taylor MA, Martinez JA, Navas-Carretero S, Handjiev S, Poppitt SD, Silvestre MP, Fogelholm M, Pietiläinen KH, Brand-Miller J, Berendsen AAM, Raben A, Schlicht W
Received 21 December 2017
Accepted for publication 12 March 2018
Published 12 September 2018 Volume 2018:11 Pages 383—394
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Professor Igor Elman
Maija Huttunen-Lenz,1 Sylvia Hansen,1 Pia Christensen,2 Thomas Meinert Larsen,2 Finn Sandø-Pedersen,2 Mathijs Drummen,3 Tanja C Adam,3 Ian A Macdonald,4,5 Moira A Taylor,5 J Alfredo Martinez,6–8 Santiago Navas-Carretero,6–8 Svetoslav Handjiev,9 Sally D Poppitt,10 Marta P Silvestre,10 Mikael Fogelholm,11 Kirsi H Pietiläinen,12,13 Jennie Brand-Miller,14 Agnes AM Berendsen,15 Anne Raben,2 Wolfgang Schlicht1
1Department of Exercise and Health Sciences, University of Stuttgart, Stuttgart, Germany; 2Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Copenhagen, Denmark; 3Department of Nutrition and Movement Sciences, Maastricht University, Maastricht, the Netherlands; 4MRC/ARUK Centre for Musculoskeletal Ageing Research, National Institute for Health Research (NIHR) Nottingham Biomedical Research Centre, School of Life Sciences, University of Nottingham, Nottingham, UK; 5School of Life Sciences, University of Nottingham Medical School, Nottingham, UK; 6Center for Nutrition Research at the University of Navarra, Pamplona, Spain; 7Madrid Institute of Advanced Studies (IMDEA Food), Madrid, Spain; 8Biomedical Research Centre Network in Physiopathology of Obesity and Nutrition (CIBERobn), Carlos III Institute, Madrid, Spain; 9Department of Pharmacology and Toxicology, Medical University – Sofia, Sofia, Bulgaria; 10Human Nutrition Unit, School of Biological Sciences, University of Auckland, Auckland, New Zealand; 11Department of Food and Nutrition, University of Helsinki, Helsinki, Finland; 12Obesity Research Unit, Research Program Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland; 13Abdominal Center, Endocrinology, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland; 14Charles Perkins Centre and School of Life and Environmental Biosciences, University of Sydney, Camperdown, NSW, Australia; 15Division of Human Nutrition & Health, Wageningen University & Research, Wageningen, the Netherlands
Purpose: Onset of type 2 diabetes (T2D) is often gradual and preceded by impaired glucose homeostasis. Lifestyle interventions including weight loss and physical activity may reduce the risk of developing T2D, but adherence to a lifestyle change is challenging. As part of an international T2D prevention trial (PREVIEW), a behavior change intervention supported participants in achieving a healthier diet and physically active lifestyle. Here, our aim was to explore the influence of this behavioral program (PREMIT) on social-cognitive variables during an 8-week weight loss phase.
Methods: PREVIEW consisted of an initial weight loss, Phase I, followed by a weight-maintenance, Phase II, for those achieving the 8-week weight loss target of ≥ 8% from initial bodyweight. Overweight and obese (BMI ≥25 kg/m2) individuals aged 25 to 70 years with confirmed pre-diabetes were enrolled. Uni- and multivariate statistical methods were deployed to explore differences in intentions, self-efficacy, and outcome expectancies between those who achieved the target weight loss (“achievers”) and those who did not (“non-achievers”).
Results: At the beginning of Phase I, no significant differences in intentions, self-efficacy and outcome expectancies between “achievers” (1,857) and “non-achievers” (163) were found. “Non-achievers” tended to be younger, live with child/ren, and attended the PREMIT sessions less frequently. At the end of Phase I, “achievers” reported higher intentions (healthy eating χ2(1)=2.57; P <0.008, exercising χ2(1)=0.66; P <0.008), self-efficacy (F(2; 1970)=10.27, P <0.005), and were more positive about the expected outcomes (F(4; 1968)=11.22, P <0.005).
Conclusion: Although statistically significant, effect sizes observed between the two groups were small. Behavior change, however, is multi-determined. Over a period of time, even small differences may make a cumulative effect. Being successful in behavior change requires that the “new” behavior is implemented time after time until it becomes a habit. Therefore, having even slightly higher self-efficacy, positive outcome expectancies and intentions may over time result in considerably improved chances to achieve long-term lifestyle changes.
Keywords: diabetes mellitus, weight loss, goals, habits, cognition
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