- Open Access
Comparison of an alternative schedule of extended care contacts to a self-directed control: a randomized trial of weight loss maintenance
© The Author(s). 2017
- Received: 10 January 2017
- Accepted: 7 August 2017
- Published: 15 August 2017
Behavioral interventions for obesity produce clinically meaningful weight loss, but weight regain following treatment is common. Extended care programs attenuate weight regain and improve weight loss maintenance. However, less is known about the most effective ways to deliver extended care, including contact schedules.
We compared the 12-month weight regain of an extended care program utilizing a non-conventional, clustered campaign treatment schedule and a self-directed program among individuals who previously achieved ≥5% weight reductions. Participants (N = 108; mean age = 51.6 years; mean weight = 92.6 kg; 52% African American; 95% female) who achieved ≥5% weight loss during an initial 16-week behavioral obesity treatment were randomized into a 2-arm, 12-month extended care trial. A clustered campaign condition included 12 group-based visits delivered in three, 4-week clusters. A self-directed condition included provision of the same printed intervention materials but no additional treatment visits. The study was conducted in a U.S. academic medical center from 2011 to 2015.
Prior to randomization, participants lost an average of −7.55 ± 3.04 kg. Participants randomized to the 12-month clustered campaign program regained significantly less weight (0.35 ± 4.62 kg) than self-directed participants (2.40 ± 3.99 kg), which represented a significant between-group difference of 2.28 kg (p = 0.0154) after covariate adjustments. This corresponded to maintaining 87% and 64% of lost weight in the clustered campaign and self-directed conditions, respectively, which was a significant between-group difference of 29% maintenance of lost weight after covariate adjustments, p = 0.0396.
In this initial test of a clustered campaign treatment schedule, this novel approach effectively promoted 12-month maintenance of lost weight. Future trials should directly compare the clustered campaigns with conventional (e.g., monthly) extended care schedules.
Clinicaltrials.gov NCT02487121. Registered 06/26/2015 (retrospectively registered)
- Behavioral treatment
- Extended care
- Weight loss maintenance
- Weight regain
Behavioral weight management interventions typically produce initial reductions in body weight of 7–10%, which provides meaningful benefits for the prevention and management of various health conditions [1, 2]. Within the first year following treatment, however, individuals commonly regain 50–65% of their lost weight [3–5]. To attenuate this weight regain, extended care contacts are recommended for at least 1 year following initial treatment . Indeed, extended care programs significantly reduce weight regain when compared to minimal or no additional contact [6–10]. By providing continued intervention contact focused on maintaining weight loss, participants are assisted in sustaining the self-management strategies necessary for long-term weight management [5, 7, 8].
Despite the documented benefits of maintenance programs, less is known about the best schedule for delivering these programs. Weight loss maintenance programs generally provide contacts on an evenly-spaced schedule, such as bi-weekly or monthly visits [1, 11, 12]. According to learning theory and theories of behavior change [13–15], this fixed-interval schedule is appropriate for the initiation of treatment and learning of new behaviors. This intensive contact schedule provides ongoing opportunities to learn and practice self-management skills while receiving support and corrective feedback from trained interventionists [5, 16].
However, as individuals transition to maintaining self-management behaviors in the extended care phase of behavioral obesity treatment, it is unclear whether the same schedule or intensity of contact is appropriate. In fact, operant learning, self-regulation, and relapse prevention theories [5, 6, 13–20], combined with preliminary research, suggest that an alternative schedule of treatment delivery may be useful for behavior maintenance [21, 22]. More specifically, a temporally-clustered campaign includes periods of frequent contact separated by extended periods without contact, which provides opportunities for intensive support and expert feedback over a shorter time period to further develop skills for weight maintenance behaviors; yet, it also allows for independent practice of self-management skills for extended periods.
Additionally, a clustered campaign schedule during the maintenance phase of treatment may protect against diminished reinforcement, boredom, and behavioral habituation that are common with conventional maintenance schedules [5, 16, 23–26]. Such clustered campaigns can be organized around different themes that may further reduce monotony, which is not typically used in the initial phase of behavioral obesity treatment when novel content is being introduced regularly. It also allows advanced knowledge acquisition and honing of advanced skills during maintenance. Variability in the schedule and content may counter the boredom that can occur during the sessions (e.g., participants get a ‘break’ from group participation for several weeks between campaigns that might in turn improve engagement when returning to group) as well as habituation with engaging in the same routine and behaviors between sessions. Despite the potential benefits, temporally-clustered sessions may increase the risk of attrition and less timely support due to extended periods without contact.
Contemporary weight loss programs, such as the Look AHEAD trial and Diabetes Prevention Program [27, 28], have incorporated “refresher groups” or “motivational campaigns” delivered on this temporally-clustered type of schedule during the maintenance phases of treatment. However, this alternative maintenance schedule was one part of a multi-component intervention that included continuation of evenly-distributed, fixed-interval contacts. Two other trials also used temporally-clustered extended care contacts to reduce weight regain [21, 29], although novel scheduling was one of several simultaneous treatment modifications, including different intensities of contact  and different behavioral prescriptions and goals .
Thus, the specific effect of temporally-clustered schedules for extended care remains unclear. To provide an initial test of this alternative extended care schedule in the absence of other treatment components, the purpose of this behavioral extended care trial was to compare 12-month outcomes of a clustered campaign maintenance delivery schedule to a self-directed comparison condition among individuals who previously achieved ≥5% weight reductions. It was hypothesized that an extended care program that included 12 maintenance visits delivered in three, 4-week clusters, would result in significantly better maintenance of lost weight than the comparison condition.
Participants were adults (≥21 years-old) who had taken part in a 16-week weight loss program and lost ≥5% of their initial body weight by month 4 of the program. Inclusion criteria for the initial, 16-week program included a body mass index (BMI; kg/m2) between 28 and 45. Individuals were ineligible to participate in the initial program if they had lost >4.5 kg and/or taken a weight loss medication in the past 6 months, had a medical condition for which weight loss or physical activity would be inadvisable, planned to relocate from the area in the next 18 months, were unable or unwilling to attend sessions, or were unwilling to accept random assignment. Participants were recruited through local newspaper, television, flyer, and university-affiliated website and e-newsletter advertisements.
This initial program included weekly, group-based sessions at an academic medical center with 15–20 participants. Groups were facilitated by a team of trained interventionists, including dieticians, exercise specialists, and clinical psychologists. Program content was modeled after the Diabetes Prevention Program (DPP)  and weight loss protocols by Perri and colleagues . Participants were encouraged to work toward a 5% weight loss goal, and they were aware this criterion was required to continue into the maintenance trial. They were instructed to reduce caloric intake to 1200 kcal/day (for participants weighing <250 lb) or 1500 kcal/day (for participants weighing ≥250 lb) and encouraged to work toward a physical activity goal of at least 180 min/week. Participants received training in behavioral strategies designed to support weight loss, including goal-setting, problem-solving, and self-monitoring. Participants also received pedometers, food scales, and measuring cups/spoons to facilitate self-monitoring. Although the initial program provided intensive (i.e., weekly) contact and evidence-based content, treatment did not include an extensive behavioral run-in period, individual make-up sessions for missed groups, or other supplemental resources or strategies to maximize adherence and weight loss as provided in prior programs such as DPP and other weight loss trials.
Upon completion of the initial program, participants attended an assessment visit and those who achieved ≥5% weight loss were randomized in a parallel 1:1 ratio to one of two maintenance conditions for a 12-month extended care trial. At this visit, staff provided eligible participants with a numbered, sealed envelope, which indicated to which condition they were randomized. Randomization was prepared by PROC PLAN in SAS (Ver. 9.3), and a unique randomization number was generated for each participant. A permuted-block randomization scheme with block sizes of 4 was used to maintain assignment balance. Approval for this study was obtained from the IRB of the participating academic health center. Informed consent was obtained from all individual participants included in the study. This trial is registered with clinicaltrials.gov (NCT02487121).
Extended care interventions
Clustered campaign maintenance program
Consistent with other extended care programs [7, 30], the purpose was to maintain adherence, bolster motivation, and reinforce information previously discussed with a focus on the maintenance of healthy lifestyle behaviors. Sessions included some review of previously-learned concepts and skills as well as incorporation of novel material pertaining to diet, physical activity, and behavior/motivation. The main focus of the extended care sessions was on the maintenance (rather than initial adoption) of healthy lifestyle behaviors associated with continued weight loss and/or weight loss maintenance and the avoidance of returning to less healthy behaviors.
Clustered campaign intervention schedule for weight loss maintenance
X X X X
X X X X
X X X X
X X X X
X X X X
X X X X
X X X X
(16 contacts in months 1-4)
Clustered campaign extended care intervention
(12 contacts in months 5-16)
During extended care, participants established weight goals mutually agreed upon by them and interventionists. Goals could include additional weight loss or weight maintenance, depending on individuals’ progress, desired weight loss, and current BMI. Across all three campaigns, recommended behavioral goals for each participant included dietary and activity self-monitoring at least 3 days/week. In addition to self-monitoring goals, participants were encouraged to set campaign-specific dietary, physical activity, or behavioral/relapse prevention goals corresponding to specific session content (e.g., applying volumetric techniques to modify meals, identifying a new structured exercise to implement). Although general goals were provided to participants at each session, participants were encouraged to develop individualized action plans to tailor and implement each goal.
Because the trial included only participants losing ≥5% of baseline weight, fewer groups were required to deliver extended care treatment than during the initial weight reduction program. Therefore, extended care participants were consolidated into new treatment groups at randomization, which included a combination of familiar and new group members. The same team of interventionists delivered the initial and extended care programs. To ensure fidelity to treatment delivery, all interventionists participated in initial training on the intervention protocol, which included structured facilitator guides and participant treatment materials. Although treatment fidelity was not formally assessed, all interventionists participated in ongoing weekly group supervision directed by the study PI, a licensed clinical psychologist with extensive experience in the delivery of behavioral weight management programs. Content of these group discussions indicated consistent protocol adherence.
Participants in the self-directed program received printed intervention materials at the initiation of the 12-month extended care period. These materials were identical to those provided in the clustered campaign condition. Self-directed participants initially met with an interventionist to review the treatment materials and answer any questions about the extended care program. They were encouraged to continue using behavioral strategies for weight management including self-monitoring and independently work through the written materials provided. The self-directed control group did not receive further in-person contacts with interventionists during the 12-month follow-up. If participants initiated contact with interventionists by telephone or email during the extended care period, the interventionist provided brief feedback, responded to questions or concerns, and referred participants back to the intervention materials provided at randomization.
Demographics and medical history
At baseline, participants self-reported a variety of characteristics, including age, sex, race, educational attainment, income, and marital status.
Height was measured at baseline to the nearest 0.1 cm using a wall-mounted stadiometer. Weight was measured to the nearest 0.1 kg using a calibrated digital scale at three time points, including baseline (i.e., pre-treatment), month 4 (i.e., randomization), and month 16. The experimental sample included those participants who lost ≥5% body weight by month 4 and were randomized into the 12-month trial. The primary outcome was change in body weight during the 12-month randomized trial, which occurred between months 4 and 16. Secondary outcomes included the proportion of participants in each extended care condition that maintained ≥5% and ≥7% weight reductions at month 16. These values were selected because 5% weight loss is considered a clinically significant value for chronic disease risk reduction , greater weight loss (e.g., 7%) is associated with more pronounced health benefits [1, 31], and 7% weight loss is consistent with the goals of other lifestyle interventions such as Look AHEAD and the Diabetes Prevention Program [27, 28]. Height and weight were measured in a research clinic affiliated with the academic medical center by trained assessment staff with no involvement in initial or extended care treatment delivery.
A priori calculations indicated that N = 96 was required to provide statistical power of 80% to detect a between-group difference of 2.6 kg with a standard deviation of 4.5 kg at month 16. Accounting for 10% attrition, the required sample was 106, which was exceeded in this trial (N = 108). Based on previous trials [32, 33], it was conservatively estimated that one-third of participants would achieve ≥5% weight loss. Thus, to achieve 106 randomized participants, we estimated that 318 participants would need to be enrolled initially.
To summarize sample characteristics, descriptive statistics (sample mean, proportions and standard deviations) are provided. To analyze the effect of the clustered campaign maintenance program on the primary outcome of weight change over the extended care period (month 4 to month 16), two multiple regression models were fitted with response variables being weight change (kg) and weight regain (percent). In both models, the variables accounted for included age, marital status, race, education level, weight at randomization, and initial weight change (between months 0 and 4). To analyze the secondary outcome of the likelihood of maintaining a certain percentage of weight reduction at month 16, we dichotomized the weight loss percentage from month 0 to month 16 at ≥5% and ≥7% reductions from month 0. Logistic regression model was applied to each outcome. In addition to the treatment variable, we also accounted for baseline weight at month 0, age, marital status, race, and education. Odds ratio estimates and p-values were obtained.
As summarized in Fig. 1, 12 of 108 randomized participants were missing weight values at month 16 (i.e., 11% attrition). Attrition did not differ between conditions, p = 0.45. Due to these missing follow-up weight data and based on current recommendations for handling such data in weight loss trials , primary and secondary analyses were conducted based on multiple imputation in which we imputed the missing month 16 values 100 times to create 100 complete data sets, applied the desired analysis model to every imputed data set, and then pooled parameter estimates from the 100 data sets to form the final model results. Available variables used as predictors of missing data included treatment condition, race, marital status, education, age, income, height, initial weight (kg), and randomization weight (kg). Sensitivity analyses also were conducted with complete cases only, which yielded comparable results to those including multiple imputations. Thus, only the full sample intent-to-treat results with multiple imputation of missing data are presented here. Statistical analyses were implemented in R software  and SAS software, Version 9.4 of the SAS System for Windows.
Baseline characteristics of randomized participants a
Clustered Campaign Group
(n = 52)
(n = 56)
Total Randomized Sample
(N = 108)
Gender, No. (%)
Race, No. (%)
Marital status, No. (%)
Education, No. (%)
Associates or lower degree
Bachelors or higher degree
Income, No. (%)
$40,000 - $80,000
Body weight, kg
Initial weight loss (months 0 to 4)
Changes in weight during the initial 4-month weight loss program (Months 0 to 4) a
Clustered Campaign Group
(n = 52)
(n = 56)
Total Randomized Sample
(N = 108)
Body weight, kg
Body weight, %
Weight loss maintenance (months 4 to 16)
Linear regression analysis of weight change (kg) during the 12-month extended care program (Months 4 to 16) a
Independent Variable b
Weight Change, kg
Initial Weight Change
Linear regression analysis of percentage weight regain during the 12-month extended care program (Months 4 to 16) a
Independent Variable b
Weight Change, %
Initial Weight Change
Likelihood of achieving ≥ 5% and ≥ 7% weight loss maintenance at month 16 in the clustered campaign versus self-directed conditiona
Odds Ratio Estimateb
95% Confidence Interval
While previous trials have incorporated clustered campaign schedules into extended care programs to improve long-term weight management, this approach has been included along with other treatment components [27, 28] and/or additional alterations in delivery [21, 22, 29]. Thus, our understanding remains limited about the effect of using only a clustered campaign schedule to prevent weight regain, so the purpose of this study was to conduct an initial evaluation of such a schedule without other treatment components or adaptations (e.g., ongoing fixed-interval contacts, changes in dietary or behavioral targets). In the current sample of treatment-seeking, racially-diverse adults, a clustered campaign extended care program without major additional treatment components significantly improved maintenance of lost weight compared to a self-directed condition. The clustered campaign program resulted in the regain of only 13% of initial weight losses. Individuals in the self-directed condition regained nearly 29% more weight on average.
These findings are encouraging, since the first year following treatment represents a particularly high-risk period for weight regain. During this time, documented levels of weight regain are as high as 65%, which often precedes full weight regain within 3–5 years after treatment . While comparisons to other weight loss maintenance trials are complicated by differences in aspects of treatment, populations, and settings investigated, the current effects appear consistent with outcomes achieved in conventional fixed-interval interventions [4, 6, 7, 30, 36]. Across a number of trials, fixed-interval sessions provided after the first 6 months of treatment resulted in the maintenance of approximately 66% of lost weight .
In the intensive lifestyle intervention of the Look AHEAD trial, which included periodic campaigns during maintenance in conjunction with other treatment components, weight losses were 8.5%, 6.3%, and 4.7% at 12-, 24-, and 48-months post-randomization, respectively . Direct comparisons between Look AHEAD and the current trial are complicated by differing study designs (i.e., randomization occurring at baseline versus after initial weight reduction), different lengths of follow-up, and different target populations (i.e., adults with type 2 diabetes in Look AHEAD). However, the current 7–8 kg weight loss observed at month 4 and the maintenance of >7 kg weight loss observed at month 16 (i.e., 12 months post-randomization) are generally consistent with the first 2 years of follow-up in Look AHEAD.
The other trial most similar to the current one involved delivery of six, 8-week units of sessions that were separated by 4 weeks without contact . While this novel timing of contacts seemed beneficial for weight loss maintenance in particular [21, 22], this alternative intervention included a number of other modifications that potentially impacted outcomes, including variety in the behavioral prescriptions, foci, and homework assignments of each unit as well as the use of structured financial incentives/contracts in one unit. Together, findings from the current trial and those observed by Jeffery, Levy, and colleagues [21, 22] support the potential value of a clustered campaign schedule of contacts to promote the maintenance of lost weight and highlight the need for additional research to more fully examine this approach.
Strengths and limitations
The study design and protocol adhered to a structured, intensive, evidence-based program consistent with current treatment guidelines . Randomizing participants to maintenance and comparator conditions after completion of an initial program and achievement of a pre-specified weight loss criterion is consistent with current methodological recommendations  and other trials of weight loss maintenance [6, 7, 36]. In contrast, some trials randomize all participants at the beginning of treatment, which is appropriate for understanding overall, long-term weight change rather than weight loss maintenance in particular . Each design has strengths and limitations, and randomizing a subset of the original sample may limit generalizability of findings to the broader population of individuals seeking weight loss treatment. In the current study, for example, only 35% of initially enrolled participants lost ≥5% to become eligible for randomization. In addition, only 53% of the original (pre-randomization) sample completed the initial, 4-month weight loss program. Although this protocol included evidence-based levels of contact during initial treatment, it provided minimal additional resources, make-up sessions, or other efforts to bolster attendance or adherence for those who were not initially responding to treatment. In addition, there was limited pre-screening of individuals and relatively modest exclusion criteria for enrollment, which contrasts with extensive screening procedures and behavioral run-in periods common to other weight loss trials (e.g., DPP, Look AHEAD).
The racially-balanced sample was a strength, as well as the high retention rate (89%) at follow-up. However, as 95% of participants were women, findings may not generalize to men. Furthermore, there were a high proportion of African American women, a group demonstrating more modest weight loss during the first few months of lifestyle interventions [39–41]. The current treatment response (i.e., 35% achieved pre-specified criterion of success) is lower than the 61% of participants who achieved a > 4-kg loss in the similarly-designed Weight Loss Maintenance (WLM) trial . Compared to the WLM trial, however, the current trial included a higher proportion of African American women (51% vs. 32%), a shorter duration of initial treatment (16 vs. 20 weekly sessions), and a slightly different weight loss criterion (5% vs. 4 kg) .
Although the clustered campaigns may promote novelty and offer an alternative approach to a conventional fixed-interval schedule, the experimental treatment schedule is most accurately conceptualized as a modified, fixed-interval schedule. This schedule did not include unpredictable, variable contacts, and other schedules of contact may prove superior to the one examined here [13–15]. Also, the self-directed control condition does not provide a direct comparison of the clustered campaign to a conventional, fixed-interval schedule that is comparable in treatment intensity. Given the limited literature on differing contact schedules for extended care programs, this was designed as an initial test of a clustered campaign maintenance schedule isolated from the effects of other treatment components. Importantly, this initial test included a randomized design, which offers a more rigorous approach than a quasi-experimental or single-group study design. Thus, the current findings are a novel, methodologically-sound addition to the literature that offers a promising approach to promote weight loss maintenance that requires replication and further exploration. Furthermore, other behavioral and/or psychological changes that were not measured may have occurred during treatment and could potentially mediate or moderate the effects observed for weight loss. Finally, while the duration of extended care is consistent with other maintenance trials [4, 7, 9, 30, 42], it is unknown what would occur with the maintenance of lost weight beyond the 12-month extended care period.
This trial provides a promising first step in understanding the effects of an alternative schedule of contacts for extended care weight management programs. Future research directly comparing clustered campaign and fixed-interval schedules is needed to determine whether alternative extended care schedules minimize weight regain relative to conventional schedules of continued contact. Moreover, the examination of potential moderators and/or mediators of treatment effects are needed to understand why certain maintenance schedules may be advantageous. Alternative methods of delivering clustered campaign extended care treatment should be considered, including other schedules of contact and modalities of delivering treatment. The success with the clustered campaign approach for maintenance of weight loss in the current study raises the question of whether this approach may also be worthwhile for initial weight management treatment. Similarly, it may be useful to explore this approach for the maintenance of other behavioral changes prone to relapse that adhere to similar structured programs (e.g., smoking cessation).
In summary, these findings demonstrated that individuals who participated in an extended care intervention with a novel, clustered campaign delivery approach had better weight maintenance following an intensive lifestyle intervention than those who participated in a self-directed maintenance condition. Thus, extended care interventions for sustained weight loss may be efficaciously delivered via clustered campaign schedules or other alternative treatment schedules. Further research is needed to test these novel delivery methods against more conventional extended care delivery approaches to determine whether they have added weight maintenance or cost benefits.
This work was supported by K23DK081607 and T32DK062710 from the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).
Availability of data and materials
The data can be made available by the authors upon request.
GRD led the conceptualization and implementation of the study and led the interpretation of findings and writing of the manuscript. MAG contributed to initial drafting of the manuscript and interpretation of findings. FT and DZ led statistical analyses. JA, MGP, and CEL contributed to the design, conduct, and evaluation of the intervention. All authors contributed to the drafting of the manuscript and interpretation of study findings. All authors read and approved the final manuscript.
Ethics approval and consent to participate
Approval for this study was obtained from the Institutional Review Board of the participating academic health center (protocol X111215003). Informed consent was obtained from all individual participants included in the study. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. This trial is registered with clinicaltrials.gov (NCT02487121).
Consent for publication
Informed consent was obtained from all participants for publication of data included in this manuscript. Individual participant data, images, or video are not included in this manuscript.
The authors declare that they have no competing interests.
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- Jensen MD, Ryan DH, Apovian CM, Ard JD, Comuzzie AG, Donato KA, Hu FB, Hubbard VS, Jakicic JM, Kushner RF, 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. J Am Coll Cardiol. 2014;63(25 Pt B):2985–3023.View ArticlePubMedGoogle Scholar
- Butryn ML, Webb V, Wadden TA. Behavioral treatment of obesity. Psychiatr Clin North Am. 2011;34(4):841–59.View ArticlePubMedPubMed CentralGoogle Scholar
- Institute of Medicine (IOM). Weighing the options: Criteria for evaluating weight management programs. Washington, DC: National Academy Press; 1995.View ArticleGoogle Scholar
- Perri MG, Corsica JA. Improving the maintenance of weight lost in behavioral treatment of obesity. In: Wadden TA, Stunkard AJ, editors. Handbook of Obesity Treatment. New York: Guilford; 2002. p. 357–79.Google Scholar
- Dutton GR, Perri MG. Delivery, Evaluation, and Future Directions for Cognitive Behavioral Treatments of Obesity. In: Wadden TA, Stunkard AJ, editors. The Oxford Handbook of Cognitive and Behavioral Therapies. New York: Oxford University Press; 2015. p. 419–37.Google Scholar
- Wing RR, Tate DF, Gorin AA, Raynor HA, Fava JL. A self-regulation program for maintenance of weight loss. N Engl J Med. 2006;355(15):1563–71.View ArticlePubMedGoogle Scholar
- Perri MG, Limacher MC, Durning PE, Janicke DM, Lutes LD, Bobroff LB, Dale MS, Daniels MJ, Radcliff TA, Martin AD. Extended-care programs for weight management in rural communities: the treatment of obesity in underserved rural settings (TOURS) randomized trial. Arch Intern Med. 2008;168(21):2347–54.View ArticlePubMedPubMed CentralGoogle Scholar
- Perri MG, McAdoo WG, McAllister DA, Lauer JB, Jordan RC, Yancey DZ, Nezu AM. Effects of peer support and therapist contact on long-term weight loss. J Consult Clin Psychol. 1987;55(4):615–7.View ArticlePubMedGoogle Scholar
- Perri MG, Nezu AM, McKelvey WF, Shermer RL, Renjilian DA, Viegener BJ. Relapse prevention training and problem-solving therapy in the long-term management of obesity. J Consult Clin Psychol. 2001;69(4):722–6.View ArticlePubMedGoogle Scholar
- Perri MG, Sears SF Jr, Clark JE. Strategies for improving maintenance of weight loss. Toward a continuous care model of obesity management. Diabetes Care. 1993;16(1):200–9.View ArticlePubMedGoogle Scholar
- Middleton KM, Patidar SM, Perri MG. The impact of extended care on the long-term maintenance of weight loss: a systematic review and meta-analysis. Obes Rev. 2012;13(6):509–17.View ArticlePubMedGoogle Scholar
- Dombrowski SU, Knittle K, Avenell A, Araujo-Soares V, Sniehotta FF. Long term maintenance of weight loss with non-surgical interventions in obese adults: systematic review and meta-analyses of randomised controlled trials. BMJ. 2014;348:g2646.View ArticlePubMedPubMed CentralGoogle Scholar
- Voils CI, King HA, Maciejewski ML, Allen KD, Yancy WS Jr, Shaffer JA. Approaches for informing optimal dose of behavioral interventions. Ann Behav Med. 2014;48(3):392–401.View ArticlePubMedPubMed CentralGoogle Scholar
- Ferster C, Nurnberger J, Levitt E. The control of eating. J Mathetics. 1962;1:87–109.Google Scholar
- Stuart R. Behavioral control of overeating. Behav Res Ther. 1967;5:357–65.View ArticleGoogle Scholar
- Wadden TA, Foster GD. Behavioral treatment of obesity. Med Clin North Am. 2000;84(2):441–61. viiView ArticlePubMedGoogle Scholar
- Kanfer F, Goldstein A: Helping people change: a textbook of methods. 1975.Google Scholar
- Brownell KD, Marlatt GA, Lichtenstein E, Wilson GT. Understanding and preventing relapse. Am Psychol. 1986;41(7):765–82.View ArticlePubMedGoogle Scholar
- DiMatteo MR. Variations in patients' adherence to medical recommendations: a quantitative review of 50 years of research. Med Care. 2004;42(3):200–9.View ArticlePubMedGoogle Scholar
- Cramer JA, Scheyer RD, Mattson RH. Compliance declines between clinic visits. Arch Intern Med. 1990;150(7):1509–10.View ArticlePubMedGoogle Scholar
- Jeffery RW, Levy RL, Langer SL, Welsh EM, Flood AP, Jaeb MA, Laqua PS, Hotop AM, Finch EA. A comparison of maintenance-tailored therapy (MTT) and standard behavior therapy (SBT) for the treatment of obesity. Prev Med. 2009;49(5):384–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Levy RL, Jeffery RW, Langer SL, Graham DJ, Welsh EM, Flood AP, Jaeb MA, Laqua PS, Finch EA, Hotop AM, et al. Maintenance-tailored therapy vs. standard behavior therapy for 30-month maintenance of weight loss. Prev Med. 2010;51(6):457–9.View ArticlePubMedPubMed CentralGoogle Scholar
- Fisher EB, Jeffery RW, Absetz P, Oldenburg B. Sustaining behavior change in health promotion, diabetes prevention and management, and weight loss. Ann Behav Med. 2008;35(Suppl):s96.Google Scholar
- Jeffery RW, Kelly KM, Rothman AJ, Sherwood NE, Boutelle KN. The weight loss experience: a descriptive analysis. Ann Behav Med. 2004;27(2):100–6.View ArticlePubMedGoogle Scholar
- Wadden TA, Butryn ML, Byrne KJ. Efficacy of lifestyle modification for long-term weight control. Obes Res. 2004;12(Suppl):151S–62S.View ArticlePubMedGoogle Scholar
- Wing RR, Jeffery RW. Prescribed “breaks” as a means to disrupt weight control efforts. Obes Res. 2003;11(2):287–91.View ArticlePubMedGoogle Scholar
- Look Ahead Research Group, Wadden TA, West DS, Delahanty L, Jakicic J, Rejeski J, Williamson D, Berkowitz RI, Kelley DE, Tomchee C, et al. The look AHEAD study: a description of the lifestyle intervention and the evidence supporting it. Obesity. 2006;14(5):737–52.View ArticleGoogle Scholar
- Diabetes Prevention Program Research G. The diabetes prevention program (DPP): description of lifestyle intervention. Diabetes Care. 2002;25(12):2165–71.View ArticleGoogle Scholar
- Perri MG, Limacher MC, von Castel-Roberts K, Daniels MJ, Durning PE, Janicke DM, Bobroff LB, Radcliff TA, Milsom VA, Kim C, et al. Comparative effectiveness of three doses of weight-loss counseling: two-year findings from the rural LITE trial. Obesity. 2014;22(11):2293–300.View ArticlePubMedPubMed CentralGoogle Scholar
- West DS, Gorin AA, Subak LL, Foster G, Bragg C, Hecht J, Schembri M, Wing RR, Program to Reduce Incontinence by D, Exercise Research G. A motivation-focused weight loss maintenance program is an effective alternative to a skill-based approach. Int J Obes. 2011;35(2):259–69.View ArticleGoogle Scholar
- Wing RR, Koeske R, Epstein LH, Nowalk MP, Gooding W, Becker D. Long-term effects of modest weight loss in type II diabetic patients. Arch Intern Med. 1987;147(10):1749–53.View ArticlePubMedGoogle Scholar
- Jeffery RW, Sherwood NE, Brelje K, Pronk NP, Boyle R, Boucher JL, Hase K. Mail and phone interventions for weight loss in a managed-care setting: weigh-to-be one-year outcomes. Int J Obes Relat Metab Disord. 2003;27(12):1584–92.View ArticlePubMedGoogle Scholar
- Wylie-Rosett J, Swencionis C, Ginsberg M, Cimino C, Wassertheil-Smoller S, Caban A, Segal-Isaacson CJ, Martin T, Lewis J. Computerized weight loss intervention optimizes staff time: the clinical and cost results of a controlled clinical trial conducted in a managed care setting. J Am Diet Assoc. 2001;101(10):1155–62. quiz 1163-1154View ArticlePubMedGoogle Scholar
- Elobeid MA, Padilla MA, McVie T, Thomas O, Brock DW, Musser B, Lu K, Coffey CS, Desmond RA, St-Onge MP, et al. Missing data in randomized clinical trials for weight loss: scope of the problem, state of the field, and performance of statistical methods. PLoS One. 2009;4(8):e6624.View ArticlePubMedPubMed CentralGoogle Scholar
- R: A Language and Environment for Statistical Computing [http://www.R-project.org].
- Svetkey LP, Stevens VJ, Brantley PJ, Appel LJ, Hollis JF, Loria CM, Vollmer WM, Gullion CM, Funk K, Smith P, et al. Comparison of strategies for sustaining weight loss: the weight loss maintenance randomized controlled trial. JAMA. 2008;299(10):1139–48.View ArticlePubMedGoogle Scholar
- The Look Ahead Research Group. Long term effects of a lifestyle intervention on weight and cardiovascular risk factors in individuals with type 2 diabetes: four year results of the look AHEAD trial. Arch Intern Med. 2010;170(17):1566–75.PubMed CentralGoogle Scholar
- MacLean PS, Wing RR, Davidson T, Epstein L, Goodpaster B, Hall KD, Levin BE, Perri MG, Rolls BJ, Rosenbaum M, et al. NIH working group report: innovative research to improve maintenance of weight loss. Obesity. 2015;23(1):7–15.View ArticlePubMedGoogle Scholar
- Rickel KA, Milsom VA, Ross KM, Hoover VJ, Peterson ND, Perri MG. Differential response of African American and Caucasian women to extended-care programs for obesity management. Ethn Dis. 2011;21(2):170–5.PubMedPubMed CentralGoogle Scholar
- Hollis JF, Gullion CM, Stevens VJ, Brantley PJ, Appel LJ, Ard JD, Champagne CM, Dalcin A, Erlinger TP, Funk K, et al. Weight loss during the intensive intervention phase of the weight-loss maintenance trial. Am J Prev Med. 2008;35(2):118–26.View ArticlePubMedPubMed CentralGoogle Scholar
- 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. 2008;16(6):1413–20.View ArticlePubMedGoogle Scholar
- Harvey-Berino J, Pintauro S, Buzzell P, Gold EC. Effect of internet support on the long-term maintenance of weight loss. Obes Res. 2004;12(2):320–9.View ArticlePubMedGoogle Scholar