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Gepubliceerd in:

01-10-2013

In it for the long haul: characteristics of early and late drop out in a self-management intervention for weight control

Auteurs: Charlotte D. W. Vinkers, Marieke A. Adriaanse, Denise T. D. de Ridder

Gepubliceerd in: Journal of Behavioral Medicine | Uitgave 5/2013

Abstract

Although drop out rates in weight management interventions are high, little is known about characteristics of people dropping out at different time points during such interventions. This study aims to examine characteristics of early and late drop outs during a self-management intervention aimed at weight control, hypothesizing that changes in psychological characteristics during active intervention would differentiate drop outs from completers. Participants’ (N = 167) socio-demographics and personality traits were measured via self-report at baseline, as well as their behavioral and psychological outcomes before and during the intervention. No baseline differences were found between early drop outs and initial completers. As expected, late drop outs were characterized by a different change pattern in self-efficacy during the initial phase compared to completers. Few differences in other characteristics were found. Changes in self-efficacy during active intervention are relevant for understanding drop out in weight management interventions.

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As the self-management approach is traditionally aimed at people with chronic conditions, it is important to note that findings reported here are drawn from studies conducted in a sample of people with diabetes. These findings, however, were deemed applicable and relevant to the present (non-diabetic) sample, because the self-management approach itself is not different for diabetics and pre-diabetics, who often require behavioral changes in similar domains.

We conducted several ANOVAs to examine whether the clustering of the three groups within the category “early drop out” could be considered valid (see heading “definition of early and late drop out”). The analyses showed that our categorization was justified, as they revealed no significant differences (all p’s ≥ .17), except for the ratio of unemployed versus employed participants within the groups (p = .03). The group who dropped out after the individual session comprised fewer unemployed people than the other two groups.

Aspinwall, L. G., & Taylor, S. E. (1997). A stitch in time: Self-regulation and proactive coping. Psychological Bulletin, 121, 417–436.PubMedCrossRef

Benett, G. A., & Jones, S. E. (1986). Dropping out of treatment for obesity. Journal of Psychosomatic Research, 30, 567–573.CrossRef

Bernier, M., & Avard, J. (1986). Self-efficacy, outcome, and attrition in a weight-reduction program. Cognitive Therapy and Research, 10, 319–338.CrossRef

Bode, C., Thoolen, B., & de Ridder, D. (2008). Measuring proactive coping. Psychometric characteristics of the Utrecht Proactive Coping Competence scale (UPCC). Psychologie & Gezondheid, 36, 81–91.CrossRef

Chao, D., Farmer, D. F., Sevick, M. A., Espeland, M. A., Vitolins, M., & Naughton, M. J. (2000). The value of session attendance in a weight-loss intervention. American Journal of Health Behavior, 24, 413–421.CrossRef

Clark, M., Hampson, S. E., Avery, L., & Simpson, R. (2004). Effects of a tailored lifestyle self-management intervention in patients with Type 2 diabetes. British Journal of Health Psychology, 9, 365–379.PubMedCrossRef

Davis, M. J., & Addis, M. E. (1999). Predictors of attrition from behavioral medicine treatments. Annals of Behavioral Medicine, 21, 339–349.PubMedCrossRef

Elfhag, K., & Rössner, S. (2010). Initial weight loss is the best predictor for success in obesity treatment and sociodemographic liabilities increase risk for drop-out. Patient Education and Counseling, 79, 361–366.PubMedCrossRef

Fabricatore, A. N., Wadden, T. A., Moore, R. H., Butryn, M. L., Heymsfield, S. B., & Nguyen, A. M. (2009). Predictors of attrition and weight loss success: Results from a randomized controlled trial. Behaviour Research and Therapy, 47, 685–691.PubMedCrossRef

Franz, M. J., VanWormer, J. J., Crain, A. L., Boucher, J. L., Histon, T., Caplan, W., … Pronk, N. P. (2007). Weight-loss outcomes: a systematic review and meta-analysis of weight-loss clinical trials with a minimum 1-year follow-up. Journal of the American Dietetic Association, 107, 1755–1767.

Funnell, M. M., Brown, T. L., Childs, B. P., Haas, L. B., Hosey, G. M., Jensen, B., … Weiss (2009). National standards for diabetes self-management education. Diabetes Care, 32, S87–S94.

Grossi, E., Dalle Grave, R., Mannucci, E., Molinari, E., Compare, A., Cuzzolaro, M., et al. (2006). Complexity of attrition in the treatment of obesity: Clues from a structured telephone interview. International Journal of Obesity, 30, 1132–1137.PubMedCrossRef

Honas, J. J., Early, J. L., Frederickson, D. D., & O’Brien, M. S. (2003). Predictors of attrition in a large clinic-based weight-loss program. Obesity Research, 11, 888–894.PubMedCrossRef

Inelmen, E. M., Toffanello, E. D., Enzi, G., Gasparini, G., Miotto, F., Sergi, G., et al. (2005). Predictors of drop-out in overweight and obese outpatients. International Journal of Obesity, 29, 122–128.PubMedCrossRef

Kristal, A. R., Shattuck, A. L., & Henry, H. J. (1990). Patterns of dietary behavior associated with selecting diets low in fat—Reliability and validity of a behavioral-approach to dietary assessment. Journal of the American Dietetic Association, 90, 214–220.PubMed

Kuijer, R. G., & De Ridder, D. T. D. (2003). Discrepancy in illness-related goals and quality of life in chronically ill patients: The role of self-efficacy. Psychology & Health, 18, 313–330.CrossRef

Linde, J. A., Rothman, A., Baldwin, A. S., & Jeffery, R. W. (2006). The impact of self-efficacy on behavior change and weight change among overweight participants in a weight loss trial. Health Psychology, 25, 282–291.PubMedCrossRef

Lockwood, P., Jordan, C. H., & Kunda, Z. (2002). Motivation by positive or negative role models: Regulatory focus determines who will best inspire us. Journal of Personality and Social Psychology, 83, 854–864.PubMedCrossRef

Marks, R., Allegrante, J. P., & Lorig, K. (2005). A review and synthesis of research evidence for self-efficacy-enhancing interventions for reducing chronic disability: Implications for health education practice (part I). Health Promotion Practice, 6, 37–43.PubMedCrossRef

Newman, S., Steed, L., & Mulligan, K. (2004). Self-management interventions for chronic illness. The Lancet, 364, 1523–1537.CrossRef

Norris, S., Engelgau, M. M., & Narayan, K. M. V. (2001). Effectiveness of self-management training in Type 2 diabetes—A systematic review of randomized controlled trials. Diabetes Care, 24, 561–587.PubMedCrossRef

Ogden, C. L., Yanovski, S. Z., Carroll, M. D., & Flegal, K. M. (2007). The epidemiology of obesity. Gastroenterology, 132, 2087–2102.PubMedCrossRef

Richman, R. M., Loughnan, G. T., Droulers, A. M., Steinbeck, K. S., & Caterson, I. D. (2001). Self-efficacy in relation to eating behavior among obese and non-obese women. International Journal of Obesity, 25, 907–913.PubMedCrossRef

Rothman, A. J. (2000). Toward a theory-based analysis of behavioral maintenance. Health Psychology, 19, 64–69.PubMedCrossRef

Schuit, A. J., Schouten, E. G., Westerterp, K. R., & Saris, W. H. M. (1997). Validity of the physical activity scale for the elderly (PASE): According to energy expenditure assessed by the doubly labeled water method. Journal of Clinical Epidemiology, 5, 541–546.CrossRef

Tangney, J. P., Baumeister, R. F., & Boone, A. L. (2004). High self-control predicts good adjustment, less pathology, better grades, and interpersonal success. Journal of Personality, 134, 927–934.

Teixeira, P. J., Going, S. B., Houtkooper L. B., Cussler, E. C., Metcalfe, L. L., Blew, R. M., … Lohman, T. G. (2004). Pretreatment predictors of attrition and successful weight management in women. International Journal of Obesity, 78, 259–264.

Thoolen, B. J., de Ridder, D., Bensing, J., Gorter, K., & Rutten, G. (2009). Beyond good intentions: The role of proactive coping in achieving sustained behavioural change in the context of diabetes management. Psychology & Health, 24, 237–254.CrossRef

Van Zundert, R. M. P., Ferguson, S. G., Shiffman, S., & Engels, C. M. E. (2010). Dynamic effects of self-efficacy on smoking lapses and relapse among adolescents. Health Psychology, 29, 246–254.PubMedCrossRef

Wadden, T. A., Foster, G. D., & Letizia, K. A. (1992). Response of obese binge eaters to treatment by behavior therapy combined with very low calorie diet. Journal of Consulting and Clinical Psychology, 60, 808–811.PubMedCrossRef

Williams, G. C., Grow, V. M., Freedman, Z. R., Ryan, R. M., & Deci, E. L. (1996). Motivational predictors of weight loss and weight-loss maintenance. Journal of Personality and Social Psychology, 70, 115–126.PubMedCrossRef

Williamson, D. A., Anton, S. D., Han, H., Champagne, C. M., Allen, R., LeBlanc, E., … Sacks, F. M. (2010). Adherence is a multi-dimensional construct in the POUNDS LOST trial. Journal of Behavioral Medicine, 33, 35–46.

Zimbardo, P. G., & Boyd, J. N. (1999). Putting time in perspective: A valid, reliable individual-differences metric. Journal of Personality and Social Psychology, 77, 1271–1288.CrossRef

Titel: In it for the long haul: characteristics of early and late drop out in a self-management intervention for weight control
Auteurs: Charlotte D. W. Vinkers
Marieke A. Adriaanse
Denise T. D. de Ridder
Publicatiedatum: 01-10-2013
Uitgeverij: Springer US
Gepubliceerd in: Journal of Behavioral Medicine / Uitgave 5/2013
Print ISSN: 0160-7715
Elektronisch ISSN: 1573-3521
DOI: https://doi.org/10.1007/s10865-012-9446-9

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