Abstract
Background
Identification of weight change patterns may allow tailored interventions to improve long-term weight loss.
Purpose
To identify patterns of weight change over 18 months, and assess participant characteristics and intervention adherence factors associated with weight change patterns in a sample of 359 overweight/obese adults.
Methods
Weight loss (0–6 months) was achieved with reduced energy intake and increased physical activity (PA). Maintenance (7–18 months) provided adequate energy to maintain weight and continued PA.
Results
Latent profile analysis identified three weight change profiles. During weight loss/maintenance, participants in profiles 2 and 3 (18-month weight loss ∼14 %) attended more behavioral sessions and performed more PA compared with profile 1 (18-month weight loss <1 %). Self-efficacy for both weight management and exercise barriers were higher in profiles 2 and 3 compared with profile 1 following weight loss and during maintenance.
Conclusion
Weight change patterns can be identified and are associated with both participant characteristics and intervention adherence.
Similar content being viewed by others
References
Ogden CL, Carroll MD, Flegal KM. Prevalence of obesity in the United States. JAMA. 2014; 312: 189-190.
Jensen MD, Ryan DH, Apovian CM, et al. 2013 AHA/ACC/TOS guideline for the management of overweight and obesity in adults: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines and The Obesity Society. Circulation. 2013.
MacLean PS, Wing RR, Davidson T, et al. NIH working group report: Innovative research to improve maintenance of weight loss. Obesity (Silver Spring). 2015; 23: 7-15.
Yank V, Xiao L, Wilson SR, et al. Short-term weight loss patterns, baseline predictors, and longer-term follow-up within a randomized controlled trial. Obesity (Silver Spring). 2014; 22: 45-51.
Neiberg RH, Wing RR, Bray GA, et al. Patterns of weight change associated with long-term weight change and cardiovascular disease risk factors in the Look AHEAD Study. Obesity (Silver Spring). 2012; 20: 2048-2056.
Espeland MA, Bray GA, Neiberg R, et al. Describing patterns of weight changes using principal components analysis: results from the Action for Health in Diabetes (Look AHEAD) research group. Ann Epidemiol. 2009; 19: 701-710.
Morales KH, Kumanyika SK, Fassbender JE, et al. Patterns of weight change in black Americans: pooled analysis from three behavioral weight loss trials. Obesity (Silver Spring). 2014; 22: 2632-2640.
Fitzpatrick SL, Bandeen-Roche K, Stevens VJ, et al. Examining behavioral processes through which lifestyle interventions promote weight loss: Results from PREMIER. Obesity (Silver Spring). 2014; 22: 1002-1007.
Elfhag K, Rössner S. Who succeeds in maintaining weight loss? A conceptual review of factors associated with weight loss maintenance and weight regain. Obes Rev. 2005; 6: 67-85.
Donnelly JE, Goetz J, Gibson C, et al. Equivalent weight loss for weight management programs delivered by phone and clinic. Obesity. 2013; 21: 1951-1959.
Wadden TA, West DS, Neiberg RH, et al. One-year weight losses in the Look AHEAD study: factors associated with success. Obesity (Silver Spring). 2009; 17: 713-722.
Purcell K, Sumithran P, Prendergast LA, et al. The effect of rate of weight loss on long-term weight management: a randomised controlled trial. Lancet Diabet Endocrinol. 2014; 2: 954-962.
Choo J, Kang H. Predictors of initial weight loss among women with abdominal obesity: a path model using self-efficacy and health-promoting behaviour. J Adv Nurs. 2015. doi:10.1111/jan.12604.
Nackers L, Ross K, Perri M. The association between rate of initial weight loss and long-term success in obesity treatment: Does slow and steady win the race? Int J Behav Med. 2010; 17: 161-167.
Lambourne K, Washburn RA, Gibson C, et al. Weight management by phone conference call: A comparison with a traditional face-to-face clinic. Rationale and design for a randomized equivalence trial. Contemp Clin Trials. 2012; 33: 1044-1055.
Bandura A. Health promotion by social cognitive means. Health Educ Behav. 2004; 31: 143-164.
Mifflin MD, St Jeor ST, Hill LA, et al. A new predictive equation for resting energy expenditure in healthy individuals. Am J Clin Nutr. 1990; 51: 241-247.
Marcus BH, Owen N. Motivational readiness, self-efficacy and decision-making for exercise. J Appl Soc Psychol. 1992; 22: 3-16.
Marcus B, Selby V, Niaura R, Rossi J. Self-efficacy and the stages of exercise behavior change. Res QExerc Sport. 1992; 63(1): 60-66.
Clark MM, Abrams DB, Niaura RS, Eaton CA, Rossi JS. Self-efficacy in weight management. J Consult Clin Psychol. 1991; 59: 739-744.
Bureau USC. American FactFinder fact sheet. Allegany County, NY; 2010.
McLachlan G, Peel D. Finite mixture models. New York: John Wiley; 2000.
Nagin DS. Analyzing developmental trajectories: A semi-parametric, group-based approach. Psychol Methods. 1999; 4: 139-157.
Akaike H. Factor analysis and AIC. Psychometrika. 1987; 52: 317-332.
Sclove L. Application of model-selection criteria to some problems in multivariate analysis. Psychometrika. 1987; 52: 333-343.
Celeux G, Soromenho G. An entropy criterion for assessing the number of clusters in a mixture model. J Classif. 1996; 13: 195-212.
Ramaswamy V, DeSarbo W, Reibstein D, Robinson W. An empirical pooling approach for estimating marketing mix elasticities with PIMS data. Mark Sci. 1993; 12: 103-124.
Vuong QH. Likelihood Ratio tests for model selection and nonnested hypotheses. Econometrica. 1989; 57: 307-333.
Lo Y, Mendell N, Rubin DB. Testing the number of components in a normal mixture. Biometrika. 2001; 88: 767-778.
Nylund KL, Asparouhov T, Muthén B. Deciding on the number of classes in latent class analysis and growth mixture modeling: A Monte Carlo simulation study. Struct Equ Model. 2007; 14: 535-569.
Henson JM, Reise SP, Kim KH. Detecting mixtures from structural model differences using latent variable mixture modeling: A comparison of relative model fit statistics. Struct Equ Model. 2007; 14: 202-226.
Tofighi D, Enders C. Identifying the correct number of classes in growth mixture models. In: Hancock GR, Samuelsen KM, eds. Advances in latent variable mixture models. Charlotte: Information Age Publishing; 2008: 317-341.
Yang C. Evaluating latent class analyses in qualitative phenotype identification. Comput Stat Data Anal. 2006; 50: 1090-1104.
Kumanyika SK, Obarzanek E. Pathways to obesity prevention: Report of a National Institute of Health Workshop. Obes Res. 2003; 11: 1263-1274.
Bennett GG, Steinberg DM, Stoute C, et al. Electronic health (eHealth) interventions for weight management among racial/ethnic minority adults: a systematic review. Obes Rev. 2014; 15(Suppl 4): 146-158.
West DS, Elaine Prewitt T, Bursac Z, Felix HC. Weight loss of black, white, and Hispanic men and women in the diabetes prevention program. Obesity (Silver Spring). 2008; 16: 1413-1420.
Stevens VJ, Obarzanek E, Cook NR, et al. Long-term weight loss and changes in blood pressure: results of the Trials of Hypertension Prevention, Phase II. Ann Intern Med. 2001; 134: 1-11.
Williamson DA, Anton SD, Han H, et al. Adherence is a multi-dimensional construct in the POUNDS LOST trial. J Behav Med. 2010; 33: 35-46.
Williamson DA, Anton SD, Han H, et al. Early behavioral adherence predicts short and long-term weight loss in the POUNDS LOST study. J Behav Med. 2010; 33: 305-314.
Rolls BJ, Ello-Martin JA, Tohill BC. What can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management? Nutr Rev. 2004; 62: 1-17.
Coughlin JW, Gullion CM, Brantley PJ, et al. Behavioral mediators of treatment effects in the weight loss maintenance trial. Ann Behav Med. 2013; 46: 369-381.
Howard BV, Manson JE, Stefanick ML, et al. Low-fat dietary pattern and weight change over 7 years: The Women's Health Initiative Dietary Modification Trial. JAMA. 2006; 295: 39-49.
Thomas JG, Bond DS, Phelan S, Hill JO, Wing RR. Weight-loss maintenance for 10 years in the National Weight Control Registry. Am J Prev Med. 2014; 46: 17-23.
Catenacci VA, Ogden LG, Stuht J, et al. Physical activity patterns in the National Weight Control Registry. Obesity (Silver Spring). 2008; 16: 153-161.
Fogelholm M, Kukkonen-Harjula K. Does physical activity prevent weight gain—a systematic review. Obes Rev. 2000; 1: 95-111.
Borg P, Kukkonen-Harjula L, Fogelholm M, Pasanen M. Effects of walking or resistance training on weight loss maintenance in obese, middle-aged men: a randomized trial. Int J Obes. 2002; 26: 676-683.
Bartfield JK, Stevens VJ, Jerome GJ, et al. Behavioral transitions and weight change patterns within the PREMIER trial. Obesity (Silver Spring). 2011; 19: 1609-1615.
Teixeira PJ, Going SB, Houtkooper LB, et al. Pretreatment predictors of attrition and successful weight management in women. Int J Obes Relat Metab Disord. 2004; 28: 1124-1133.
Teixeira PJ, Palmeira AL, Branco TL, et al. Who will lose weight? A reexamination of predictors of weight loss in women. Int J Behav Nutr Phys Act. 2004; 1: 12.
Linde JA, Utter J, Jeffery RW, et al. Specific food intake, fat and fiber intake, and behavioral correlates of BMI among overweight and obese members of a managed care organization. Int J Behav Nutr Phys Act. 2006; 3: 42.
Byrne S, Barry D, Petry NM. Predictors of weight loss success. Exercise vs. dietary self-efficacy and treatment attendance. Appetite. 2012; 58: 695-698.
Wingo BC, Desmond RA, Brantley P, et al. Self-efficacy as a predictor of weight change and behavior change in the PREMIER trial. J Nutr Educ Behav. 2013; 45: 314-321.
Martin PD, Dutton GR, Brantley PJ. Self-efficacy as a predictor of weight change in African-American women. Obes Res. 2004; 12: 646-651.
Teixeira PJ, Going SB, Houtkooper LB, et al. Weight loss readiness in middle-aged women: psychosocial predictors of success for behavioral weight reduction. J Behav Med. 2002; 25: 499-523.
Shin H, Shin J, Liu PY, et al. Self-efficacy improves weight loss in overweight/obese postmenopausal women during a 6-month weight loss intervention. Nutr Res. 2011; 31: 822-828.
Bas M, Donmez S. Self-efficacy and restrained eating in relation to weight loss among overweight men and women in Turkey. Appetite. 2009; 52: 209-216.
Latner JD, McLeod G, O'Brien KS, Johnston L. The role of self-efficacy, coping, and lapses in weight maintenance. Eat Weight Disord. 2013; 18: 359-366.
Warziski MT, Sereika SM, Styn MA, Music E, Burke LE. Changes in self-efficacy and dietary adherence: the impact on weight loss in the PREFER study. J Behav Med. 2008; 31: 81-92.
Astrup A, Rossner S. Lessons from obesity management programmes: greater initial weight loss improves long-term maintenance. Obes Rev. 2000; 1: 17-19.
Wing R. Behavioral approaches to the treatment of obesity. 2nd ed. New York: Marcel Dekker, Inc.; 2004.
Wadden TA, Volger S, Sarwer DB, et al. A two-year randomized trial of obesity treatment in primary care practice. N Engl J Med. 2011; 365: 1969-1979.
Fabricatore AN, Wadden TA, Moore RH, et al. Predictors of attrition and weight loss success: Results from a randomized controlled trial. Behav Res Ther. 2009; 47: 685-691.
Ortner Hadziabdic M, Mucalo I, Hrabac P, et al. Factors predictive of drop-out and weight loss success in weight management of obese patients. J Hum Nutr Diet. 2015; 28(Suppl 2): 24-32.
Unick JL, Hogan PE, Neiberg RH, et al. Evaluation of early weight loss thresholds for identifying nonresponders to an intensive lifestyle intervention. Obesity. 2014; 22: 1608-1616.
Rissanen A, Lean M, Rossner S, Segal KR, Sjostrom L. Predictive value of early weight loss in obesity management with orlistat: an evidence-based assessment of prescribing guidelines. Int J Obes Relat Metab Disord. 2003; 27: 103-109.
Smith SR, O'Neil PM, Astrup A, et al. Early weight loss while on lorcaserin, diet and exercise as a predictor of week 52 weight-loss outcomes. Obesity (Silver Spring). 2014; 22: 2137-2146.
Carels RA, Young KM, Hinman N, et al. Stepped-care in obesity treatment: matching treatment intensity to participant performance. Eat Behav. 2012; 13: 112-118.
Carels RA, Wott CB, Young KM, et al. Successful weight loss with self-help: a stepped-care approach. J Behav Med. 2009; 32: 503-509.
Carels RA, Young KM, Coit CB, et al. The failure of therapist assistance and stepped-care to improve weight loss outcomes. Obesity (Silver Spring). 2008; 16: 1460-1462.
Jakicic J. Activity patterns of obese adults with type 2 diabetes in the look AHEAD study. Med Sci Sports Exerc. 2010; 42.
Acknowledgments
The authors would like to thank HMR Weight Management Service Corp. for their contribution to the project.
Funding
National Institute of Diabetes, Digestive and Kidney Disease R01-DK76063 (Donnelly) and National Institute of Diabetes, Digestive and Kidney Disease F32-DK103493 (Szabo-Reed)
Author information
Authors and Affiliations
Corresponding author
Additional information
Trial Registration: clinicaltrials.gov Identifier: NCT01095458
About this article
Cite this article
Szabo-Reed, A.N., Lee, J., Ptomey, L. et al. Longitudinal Weight Loss Patterns and their Behavioral and Demographic Associations. ann. behav. med. 50, 147–156 (2016). https://doi.org/10.1007/s12160-015-9740-1
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12160-015-9740-1