Behavioral Management Program Research Articles

Research Animal Behavioral Management Programs for the 21st Century

Behavioral management programs have been developed commonly for research dogs and primates but rarely has program consideration been expanded to include all research species worked with. This is necessary to reduce animal stress and promote natural behaviors, which can promote good animal welfare and result in more robust and reproducible scientific data. We describe the evolution of consideration for research animal needs and define an umbrella-based model of research animal behavioral management programs, which may be used for all research species. In addition to developing a more comprehensive program, we emphasize the need for regular welfare assessments to determine whether the program is working cohesively and whether any aspects require modification.

Comparing Implementation Strategies for an Evidence-Based Weight Management Program Delivered in Community Mental Health Programs: Protocol for a Pilot Randomized Controlled Trial.

Among people with serious mental illness (SMI), obesity contributes to increased cardiovascular disease (CVD) risk. The Achieving Healthy Lifestyles in Psychiatric Rehabilitation (ACHIEVE) randomized controlled trial (RCT) demonstrated that a behavioral intervention tailored to the needs of individuals with SMI results in clinically significant weight loss. While the research team delivered the ACHIEVE intervention in the trial, community mental health program staff are needed to deliver sessions to make scale-up feasible. Therefore, we adapted the ACHIEVE-Dissemination (ACHIEVE-D) curriculum to ease adoption and implementation in this setting. Designing and testing of implementation strategies is now needed to understand how to support ACHIEVE-D delivery by community mental health program staff coaches. This study aims to conduct a pilot trial evaluating standard and enhanced implementation interventions to support the delivery of ACHIEVE-D in community mental health programs by examining effects on staff coaches' knowledge, self-efficacy, and delivery fidelity of the curriculum. We will also examine the effects on outcomes among individuals with SMI taking part in the curriculum. The trial will be a cluster-randomized, 2-arm parallel pilot RCT comparing standard and enhanced implementation intervention at 6 months within community mental health programs. We will randomly assign programs to either the standard or enhanced implementation interventions. The standard intervention will combine multimodal training for coaches (real-time initial training via videoconference, ongoing virtual training, and web-based avatar-assisted motivational interviewing practice) with organizational strategy meetings to garner leadership support for implementation. The enhanced intervention will include all standard strategies, and the coaches will receive performance coaching. At each program, we will enroll staff to participate as coaches and clients with SMI to participate in the curriculum. Coaches will deliver the ACHIEVE-D curriculum to the clients with SMI. Primary outcomes will be coaches' knowledge, self-efficacy, and fidelity to the ACHIEVE-D curriculum. We will also examine the acceptability, feasibility, and appropriateness of ACHIEVE-D and the implementation strategies. Secondary outcomes among individuals with SMI will be weight and self-reported lifestyle behaviors. Data collection started in March 2021, with completion estimated in March 2023. We recruited 9 sites and a total of 20 staff coaches and 72 clients with SMI. The expected start of data analyses will occur in March 2023, with primary results submitted for publication in April 2023. Community mental health programs may be an ideal setting for implementing an evidence-based weight management curriculum for individuals with SMI. This pilot study will contribute knowledge about implementation strategies to support the community-based delivery of such programs, which may inform future research that definitively tests the implementation and dissemination of behavioral weight management programs. ClinicalTrials.gov NCT03454997; https://clinicaltrials.gov/ct2/show/NCT03454997. DERR1-10.2196/45802.

Association between the month of starting a weight management program and weight change in people at high risk of type 2 diabetes: A prospective cohort study.

Weight loss is one of the most common New Year's resolutions, but it is unclear whether attempting to lose weight in January is more successful than attempting it at other times of the year. In this prospective cohort study from the English National Health Service (NHS) Diabetes Prevention Program, adults with nondiabetic hyperglycemia were enrolled in a structured behavioral weight management program. Repeated measures models assessed the mean difference between baseline and follow-up weight adjusting for monthly variation in weight among those with ≥1 weight measurement. Among 85,514 participants with a mean baseline BMI of 30.3kg/m2 (range: 13.4 to 84.2), mean weight change at the end of the program after an average 7.9 (SD: 4.5) sessions over 6.4 (SD: 5.6) months was -2.00 kg (95% CI: -2.02 to -1.97 kg) or -2.33% (95% CI: -2.35% to -2.32%). Compared with participants starting in January, participants starting in other months lost less weight, ranging between 0.28 kg (95% CI: 0.10 to 0.45 kg) less weight in those starting in March and 0.71 kg (95% CI: 0.55 to 0.87 kg) less weight in those starting in November. April and May were the only exceptions, in which the estimates followed the same direction but were not statistically significant. Higher session attendance mediated the effects, with participants starting in January attending, on average, 0.2 to 0.7 more sessions than those starting in other months. People starting a weight management program in January lost 12% to 30% more weight than people starting it at other times of the year.

Retention and weight outcomes after transitioning an intensive behavioral weight management program from an in-person to a virtual format.

Virtual care offers many potential advantages over traditional in-person care for people with chronic diseases including obesity. Before the COVID-19 pandemic, virtual care was not broadly implemented because of regulatory, legal, and reimbursement barriers. To evaluate the impact of the transition from an entirely in-person format to a virtual format during the COVID-19 pandemic on retention and weight reduction in a 2-year, structured, intensive behavioral weight management program for people with moderate to severe obesity. Retrospective cohort study of 1313 program participants stratified according to the phase of the program during which the transition to virtual visits occurred. Age, sex, and baseline weight were independent predictors of program retention. Transition to virtual visits was associated with greater 2-year program retention. Retention but not mode of program delivery was associated with reduction in weight at 2-year. Transition from in-person to virtual program delivery improved retention and by doing so, indirectly improved weight loss at 2years. Telemedicine has the potential to overcome many of the limitations associated with traditional in-person weight loss interventions. This research was reviewed and approved by the University of Michigan Institutional Review Board and registered on ClinicalTrials.gov (NCT02043457). All participants provided written informed consent.

Long-Term Effect of Weight Regain Following Behavioral Weight Management Programs on Cardiometabolic Disease Incidence and Risk: Systematic Review and Meta-Analysis.

Behavioral weight management programs (BWMPs) enhance weight loss in the short term, but longer term cardiometabolic effects are uncertain as weight is commonly regained. We assessed the impact of weight regain after BWMPs on cardiovascular risk factors, diabetes, and cardiovascular disease. Trial registries, 11 databases, and forward-citation searching (latest search, December 19) were used to identify articles published in English, from any geographical region. Randomized trials of BWMPs in adults with overweight/obesity reporting cardiometabolic outcomes at ≥12 months at and after program end were included. Differences between more intensive interventions and comparator groups were synthesized using mixed-effects, meta-regression, and time-to-event models to assess the impact of weight regain on cardiovascular disease incidence and risk. One hundred twenty-four trials reporting on ≥1 cardiometabolic outcomes with a median follow-up of 28 (range, 11-360) months after program end were included. Median baseline participant body mass index was 33 kg/m2; median age was 51 years. Eight and 15 study arms (7889 and 4202 participants, respectively) examined the incidence of cardiovascular disease and type 2 diabetes, respectively, with imprecise evidence of a lower incidence for at least 5 years. Weight regain in BWMPs relative to comparators reduced these differences. One and 5 years after program end, total cholesterol/HDL (high-density lipoprotein) ratio was 1.5 points lower at both times (82 studies; 19 003 participants), systolic blood pressure was 1.5 mm mercury and 0.4 mm lower (84 studies; 30 836 participants), and HbA1c (%) 0.38 lower at both times (94 studies; 28 083 participants). Of the included studies, 22% were judged at high risk of bias; removing these did not meaningfully change results. Despite weight regain, BWMPs reduce cardiometabolic risk factors with effects lasting at least 5 years after program end and dwindling with weight regain. Evidence that they reduce the incidence of cardiovascular disease or diabetes is less certain. Few studies followed participants for ≥5 years. URL: https://www.crd.york.ac.uk/PROSPERO/; Unique identifier: CRD42018105744.

Development and initial evaluation of a behavioural intervention to support weight management for people with serious mental illness: an uncontrolled feasibility and acceptability study

BackgroundThe rates of obesity and associated health problems are higher in people with serious mental illness (SMI), such as schizophrenia and bipolar disorder, than the general population. A primary care referral to a behavioural weight management programme can be an effective intervention, but people with SMI have reported barriers to engaging with them and bespoke options are rarely provided in routine practice. It is possible that adjunct support addressing these specific barriers could help. Here we report the development, feasibility and acceptability of an intervention to improve uptake and engagement with a mainstream weight management programme for people with SMI.MethodsWe worked with people with a lived-experience of SMI and used the person-based approach to develop the ‘Weight cHange for people with sErious mEntal iLlness’ (WHEEL) intervention. It comprised a referral to a mainstream weight management programme (WW®) to be attended once a week, in-person or online, for 12-weeks. The adjunct support comprised a one-off, online consultation called Meet Your Mentor and weekly, telephone or email Mentor Check Ins for 12-weeks. We assessed the feasibility of WHEEL through the number of programme and adjunct support sessions that the participants attended. We analysed the acceptability of WHEEL using a thematic analysis of qualitative interviews conducted at baseline and at 12-week follow-up. Our exploratory outcome of clinical effectiveness was self-reported weight at baseline and at end-of-programme.ResultsTwenty participants were assessed for eligibility and 17 enrolled. All 17 participants attended Meet Your Mentor and one was lost to follow-up (94% retention). Nine out of 16 attended ≥50% of the weekly programme sessions and 12/16 attended ≥50% of the weekly check-ins. Participants reported in the interviews that the adjunct support helped to establish and maintain a therapeutic alliance. While some participants valued the in-person sessions, others reported that they preferred the online sessions because it removed a fear of social situations, which was a barrier for some participants. The mean change in self-reported weight was − 4·1 kg (SD: 3·2) at 12-weeks.ConclusionsA mainstream weight management programme augmented with brief and targeted education and low-intensity check-ins generated sufficient engagement and acceptability to warrant a future trial.

Using Stakeholder Focus Groups to Refine the Care of Pigs used in Research.

Research organizations should be proactive in regularly evaluating and refining their animal care and use programs in order to advance animal welfare and minimize distress. Pigs are often used in research, but few empirical studies have examined optimal husbandry and research use practices for pigs in a research environment. We developed the Pig Welfare Working Group (PWWG) to address the need for more formal guidelines on the management and use of pigs in research. The PWWG was a stakeholder focus group whose goal was to identify challenges and opportunities relevant to improving animal welfare through collaboration, knowledge sharing, and inclusive decision-making. Through consensus building, the PWWG developed 12 recommendations for behavioral management, housing, research procedures, transportation, and rehoming programs. The recommendations were rolled out across the contract research organization, business units, sites, and countries. Follow up will be conducted regularly to assess welfare, monitor progress toward implementing the recommendations, and recognize and reward participants making changes at their site.

Weight Loss Expectations of Adults With Binge Eating: Cross-sectional Study With a Human-Centered Design Approach.

People tend to overestimate their expectations for weight loss relative to what is achievable in a typical evidence-based behavioral weight management program, which can impact treatment satisfaction and outcomes. We are engaged in formative research to design a digital intervention that addresses binge eating and weight management; thus, understanding expectations among this group can inform more engaging intervention designs to produce a digital intervention that can achieve greater clinical success. Studies examining weight loss expectations have primarily focused on people who have overweight or obesity. Only one study has investigated weight loss expectations among people with binge eating disorder, a population that frequently experiences elevated weight and shape concerns and often presents to treatment with the goal of losing weight. The aim of the study is to investigate differences in weight loss expectations among people with varying levels of binge eating to inform the design of a digital intervention for binge eating and weight management. Such an evaluation may be crucial for people presenting for a digital intervention, given that engagement and dropout are notable problems for digital behavior change interventions. We tested the hypotheses that (1) people who endorsed some or recurrent binge eating would expect to lose more weight than those who did not endorse binge eating and (2) people who endorsed a more severe versus a low or moderate overvaluation of weight and shape would have higher weight loss expectations. A total of 760 adults (n=504, 66% female; n=441, 58% non-Hispanic White) completed a web-based screening questionnaire. One-way ANOVAs were conducted to explore weight loss expectations for binge eating status as well as overvaluation of shape and weight. Weight loss expectations significantly differed by binge eating status. Those who endorsed some and recurrent binge eating expected to lose more weight than those who endorsed no binge eating. Participants with severe overvaluation of weight or shape expected to lose the most weight compared to those with low or moderate levels of overvaluation of weight and shape. In the sample, people interested in a study to inform a digital intervention for binge eating and weight management overestimated their expectations for weight loss. Given that weight loss expectations can impact treatment completion and success, it may be important to assess and modify weight loss expectations among people with binge eating prior to enrolling in a digital intervention. Future work should design and test features that can modify these expectations relative to individuals' intended treatment goals to facilitate engagement and successful outcomes in a digital intervention.

Predicting Clinically Significant Weight Loss in a Multimodal Commercial Digital Weight Management Program: Machine Learning Approach

Background Generally, adherence to diet and physical activity in behavioral weight management programs predicts weight loss. Moreover, meeting attendance and platform or app use predict weight loss. Many weight-loss–prediction studies primarily use regression. However, little is known about the levels of adherence to specific web-based weight management program tools as well as behavioral and psychosocial variables that predict significant weight loss using machine-learning approaches. Objective In this paper, we aimed to examine variables that can predict clinically significant weight loss (≥5%) in a multimodal commercial digital weight management program, including levels of adherence to intervention tools and changes in behavioral and psychosocial states using machine-learning approaches. Methods We performed secondary analyses using data from a one-arm trial online WW (formerly Weight Watchers) weight-loss intervention program, lasting 6 months, that recruited US adults with a BMI range of 25-45 kg/m2. We used a WW Bluetooth scale and digital intervention tools such as mobile app for point tracking, weekly virtual workshops, weekly wellness check-ins and a Facebook group, and changes in psychosocial and behavioral variables (ie, food craving, Pittsburgh sleep quality index, diet, hunger, and physical activity). Using the receiver operating characteristics (ROC) curve, we identified the predictors of significant weight loss, as well as the associated cut points (CP) and area-under-curve (AUC) values for each variable. We further used a classification tree to confirm the importance of these predictors and assessed the out-of-sample prediction accuracies using 5-fold cross-validation. Results Participants (N=153) were 70% female and 66% White, with a mean age of 41.09 (SD 13.78) years, and had a mean BMI of 31.8 kg/m2 (SD 5.0). Approximately 51% of participants lost ≥5% weight. Using ROC curve, food tracking (CP≥9.4%; AUC=0.744; P<.001), increase in self-weighing (CP≥0.5; AUC=0.733; P<.001), wellness check-in attendance (CP≥31.3%; AUC=0.723; P<.001), and workshop attendance (CP≥35.4%; AUC=0.699; P<.001) were identified as significant predictors of achieving ≥5% weight loss. We confirmed the importance of these variables using classification tree, and together they achieved an out-of-sample prediction accuracy of 78%. Conclusions ROC curve and classification tree provided consistent results of predictors of clinically significant weight loss (ie, food tracking, increase in self-weighing, workshop attendance, and wellness check-in attendance). Our study extends the weight management literature by using machine-learning approaches to identify significant weight loss predictors and specific levels of these predictors needed to achieve clinically significant weight loss. Conflicts of Interest None declared.

Weight regain and mental health outcomes following behavioural weight management programmes: A systematic review with meta-analyses.

Behavioural weight management programmes (BWMPs) lead to weight loss but subsequent weight regain may harm mental health outcomes. We searched for randomised trials of BWMPs in adults with overweight/obesity with follow-up ≥12 months from baseline that measured weight change both at and after programme-end. We included only studies reporting mental health at or after programme-end. We meta-analysed changes in various mental health outcomes using a random-effects model by nature of the comparator group and by time since programme end. Subgroup analysis explored heterogeneity. We used mixed models and meta-regression to analyse the association between change in weight and change in depression and/or anxiety over time, with higher scores indicating greater depression and/or anxiety. We included 47 studies. When comparing BWMPs (diet and/or exercise) to control, most estimates included the possibility of no difference, but pooled estimates for psychological wellbeing, self-esteem and mental-health composite scores at programme-end, anxiety at 1-6months, and depression at 7-12 months after programme-end suggested improvements in intervention arms relative to control, with 95% CIs excluding no difference. Pooled estimates found no evidence that BWMPs harmed mental health at programme end or beyond. Mental health composite scores at programme-end favoured diet and exercise interventions over diet alone, with 95% CIs excluding no difference. All other measures and timepoints included the possibility of no difference or could not be meta-analysed due to high heterogeneity or a paucity of data. Mixed models and meta-regression of the association between change in depression and/or anxiety scores over time, and change in weight, were inconclusive. Despite weight regain after BWMPs, our meta-analyses found no evidence of mental health harm and some evidence that BWMPs may improve some dimensions of mental health at and after programme-end.

Weight regain after behavioural weight management programmes and its impact on quality of life and cost effectiveness: Evidence synthesis and health economic analyses.

We used data from a recent systematic review to investigate weight regain after behavioural weight management programmes (BWMPs, sometimes referred to as lifestyle modification programmes) and its impact on quality-of-life and cost-effectiveness. Trial registries, databases and forward-citation searching (latest search December 2019) were used to identify randomized trials of BWMPs in adults with overweight/obesity reporting outcomes at ≥12 months, and after programme end. Two independent reviewers screened records. One reviewer extracted data and a second checked them. The differences between intervention and control groups were synthesized using mixed-effect, meta-regression and time-to-event models. We examined associations between weight difference and difference in quality-of-life. Cost-effectiveness was estimated from a health sector perspective. In total, 155 trials (n > 150 000) contributed to analyses. The longest follow-up was 23 years post-programme. At programme end, intervention groups achieved -2.8kg (95%CI -3.2 to -2.4) greater weight loss than controls. Weight regain after programme end was 0.12-0.32 kg/year greater in intervention relative to control groups, with a between-group difference evident for at least 5 years. Quality-of-life increased in intervention groups relative to control at programme end and thereafter returned to control as the difference in weight between groups diminished. BWMPs with this initial weight loss and subsequent regain would be cost-effective if delivered for under £560 (£8.80-£3900) per person. Modest rates of weight regain, with persistent benefits for several years, should encourage health care practitioners and policymakers to offer obesity treatments that cost less than our suggested thresholds as a cost-effective intervention to improve long-term weight management. The review is registered on PROSPERO, CRD42018105744.

Table for two: Perceptions of social support from participants in a weight management intervention for veterans with PTSD and overweight or obesity.

Individuals with posttraumatic stress disorder (PTSD) are at an increased risk of being classified as overweight or with obesity in part due to PTSD symptoms (e.g., sleep disturbance and social isolation) interfering with activity and healthy eating. MOVE!+UP is a 16-week behavioral weight management program, tailored to address such barriers for people with PTSD, by combining evidence-based weight loss education and support with cognitive behavior therapy skills to reduce PTSD symptom-based weight management barriers. This qualitative study examined veterans' (n = 37) perceptions of social support relevant to weight management, health behaviors, and mental health while participating in an uncontrolled pilot of MOVE!+UP. Template analysis of transcripts from 1-hr semistructured qualitative interviews identified four main categories of participant responses. Participants described positive aspects, particularly cohesiveness around a shared veteran identity, feeling less alone, accountability, and having others eat healthier and exercise with them. Conversely, relationship-based barriers included other participants' poor MOVE!+UP group session attendance and engagement, and loved ones' encouragement of making unhealthy choices. Many described having limited relationships or trouble accessing available support. Finally, PTSD symptoms were a significant barrier to utilizing social support to facilitate weight loss. Findings suggest future behavioral weight management programs should recruit members with similar backgrounds to capitalize on shared experience, encourage consistent attendance and meaningful participation, deliver education about how to leverage social support from others outside the program, and address mental health symptoms that impede social support and healthy lifestyles. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Long-term impact of a behavioral weight management programon depression and anxiety symptoms: 5-year follow-up of the WRAP trial.

Behavioral weight management programs may support short-term mental health; however, limited evidence reports the long-term impacts. This study investigated the impact of behavioral weight management programs on depression and anxiety symptoms at 5 years from baseline. The Weight loss Referrals for Adults in Primary care (WRAP) trial randomized 1267 adults with BMI ≥ 28 kg/m2 to a brief intervention (BI) or commercial behavioral weight management program(WW; formerly Weight Watchers) for 12 or 52 weeks (CP12 and CP52, respectively). Linear regression was used to separately compare 5-year changes in depression and anxiety symptoms (by Hospital Anxiety and Depression Scale) between randomized groups, adjusting for baseline depression/anxiety symptoms, gender, and research center. A total of 643 (51%) participants attended the 5-year study follow-up visit. There was no evidence of a difference between the randomized groups for 5-year changes in depression (BI: -0.08 ± 3.29; CP12: 0.02 ± 3.01; CP52: -0.09 ± 3.41) or anxiety (BI: 0.16 ± 3.50; CP12: -0.05 ± 3.55; CP52: -0.66 ± 3.59) symptoms. This study found no evidence that commercial weight management programs differed in 5-year changes in depression and anxiety symptoms, compared with BI. These are average effects; some individuals experienced increases or decreases in symptoms. Future research should investigate who is at most risk of mental health declines and investigate how to support them. Future trials should transparently report long-term mental health outcomes to strengthen understanding.

Effectiveness and cost-effectiveness of referral to a commercial open group behavioural weight management programme in adults with overweight and obesity: 5-year follow-up of the WRAP randomised controlled trial

There is evidence that commercially available behavioural weight management programmes can lead to short-term weight loss and reductions in glycaemia. Here, we aimed to provide the 5-year impact and cost-effectiveness of these interventions compared with a brief intervention. WRAP was a non-blinded, parallel-group randomised controlled trial (RCT). We recruited from primary care practices in England and randomly assigned participants to one of three interventions (brief intervention, 12-week open-group behavioural programme [WW, formerly Weight Watchers], or a 52-week open-group WW behavioural programme) in an uneven (2:5:5) allocation. Participants were followed up 5 years after randomisation using data from measurement visits at primary care practices or a research centre, review of primary care electronic medical notes, and self-report questionnaires. The primary outcome was change in weight at 5 years follow-up, assessed using analysis of covariance. We also estimated cost-effectiveness of the intervention. This study is registered at Current Controlled Trials, ISRCTN64986150. Between Oct 18, 2012, and Feb 10, 2014, we recruited 1269 eligible participants (two participants were randomly assigned but not eligible and therefore excluded) and 1040 (82%) consented to be approached about additional follow-up and to have their medical notes reviewed at 5 years. The primary outcome (weight) was ascertained for 871 (69%) of 1267 eligible participants. Mean duration of follow-up was 5·1 (SD 0·3) years. Mean weight change from baseline to 5 years was -0·46 (SD 8·31) kg in the brief intervention group, -1·95 (9·55) kg in the 12-week programme group, and -2·67 (9·81) kg in the 52-week programme. The adjusted difference in weight change was -1·76 (95% CI -3·68 to 0·17) kg between the 52-week programme and the brief intervention; -0·80 (-2·13 to 0·54) kg between the 52-week and the 12-week programme; and -0·96 (-2·90 to 0·97) kg between the 12-week programme and the brief intervention. During the trial, the 12-week programme incurred the lowest cost and produced the highest quality-adjusted life-years (QALY). Simulations beyond 5 years suggested that the 52-week programme would deliver the highest QALYs at the lowest cost and would be the most cost-effective. No participants reported adverse events related to the intervention. Although the difference in weight change between groups was not statistically significant, some weight loss was maintained at 5 years after an open-group behavioural weight management programme. Health economic modelling suggests that this could have important implications to reduce the incidence of weight-related disease and these interventions might be cost-saving. The UK National Institute for Health and Care Research Programme Grants for Applied Research and the Medical Research Council.

Effects of the HEARTY exercise randomized controlled trial on eating behaviors in adolescents with obesity.

There are well-recognized benefits of behavioral interventions that include exercise for children and adolescents with obesity. However, such behavioral weight management programs may precipitate unintended consequences. It is unclear if different exercise modalities impact eating behaviors differently in youth with obesity. The purpose of this study was to examine the effects of aerobic, resistance, and combined aerobic and resistance exercise training on eating attitudes and behaviors (uncontrolled eating, restrained eating, emotional eating, external eating and food craving) among adolescents with overweight and obesity. N=304 (70% female) adolescents with overweight and obesity participated in the 6-month Healthy Eating Aerobic and Resistance Training in Youth (HEARTY) randomized controlled trial. All participants were inactive post-pubertal adolescents (15.6±1.4years) with a mean BMI=34.6±4.5kg/m2. The Food Craving Inventory (food cravings), Dutch Eating Behavior Questionnaire (restrained eating, emotional eating, external eating), and the Three-Factor Eating Questionnaire (uncontrolled eating) were used to assess eating attitudes and behaviors. All exercise groups showed within-group decreases in external eating and food cravings. Participants randomized to the Combined training group and were more adherent showed the greatest improvements in eating behaviors and cravings. A 6-month exercise intervention produced improvements in disordered eating behaviors and food cravings, but effects may be gender and modality-specific. Findings highlight the need to tailor exercise intervention to participant characteristics for the promotion of healthier eating and weight management outcomes in youth with obesity.

Impact of program characteristics on weight loss in adult behavioral weightmanagement interventions: systematic review and component network meta-analysis.

ObjectiveBehavioral weight management programs (BWMPs) for adults lead to greater weight loss at 12 months than minimal‐intervention control treatments. However, there is considerable heterogeneity in the content of BWMPs and outcomes of treatment. This study assessed the contribution of individual components of BWMPs, using Bayesian component network meta‐analysis.MethodsRandomized controlled trials of BWMPs in adults were identified (latest search: December 2019) and arms coded for presence or absence of 29 intervention components grouped by type, content, provider, mode of delivery, and intensity.ResultsA total of 169 studies (41 judged at high risk of bias) were included in the main analysis. Six components had effect estimates indicating clinically significant benefit and credible intervals (CrIs) excluding no difference: change in diet (mean difference [MD] = −1.84 kg, 95% CrI: −2.91 to −0.80); offering partial (MD = −2.12 kg, 95% CrI: −3.39 to −0.89) or total meal replacements (MD = −2.63 kg, 95% CrI: −4.58 to −0.73); delivery by a psychologist/counselor (MD = −1.45 kg, 95% CrI: −2.81 to −0.06) or dietitian (MD = −1.31 kg, 95% CrI: −2.40 to −0.24); and home setting (MD = −1.05 kg, 95% CrI: −2.02 to −0.09).ConclusionsFuture program development should consider including these components; other approaches continue to warrant evaluation of effectiveness.

Effectiveness of a behavioral lifestyle intervention on weight management and mobility improvement in older informal caregivers: a secondary data analysis

BackgroundOlder informal caregivers are prone to sedentary behavior and obesity. With great caregiving burdens and frequent physical and mental distress, older informal caregivers may have low adherence and poor results in behavioral intervention for weight management. This study examined whether overweight or obese older informal caregivers could benefit from a behavioral weight management program as much as non-caregivers.MethodsThe Mobility and Vitality Lifestyle Program (MOVE UP) was a pre-post, community-based, 13-month lifestyle intervention study to help older adults improve physical function performance and lose weight. We identified a subset of informal caregivers (n = 29) and non-caregivers (n = 65) from the MOVE UP participants retrospectively. Changes in lower extremity function, weight, depressive symptoms, and self-efficacy from baseline were compared between caregivers and non-caregivers using paired t-tests and ANCOVA.ResultsOlder informal caregivers had significantly lower session attendance rates than non-caregivers (67.7% vs 76.8%, P < 0.05), however, both informal caregivers and non-caregivers improved significantly in lower extremity function, weight loss, and self-efficacy in diet (Ps < 0.05). For each outcome, changes from baseline to the 13-month endpoint were the same among informal caregivers and non-caregivers.ConclusionThis study provides evidence that older informal caregivers can benefit from behavioral weight management interventions despite the challenge caregiving poses for effective self-care. Future behavioral intervention studies for older informal caregivers should adopt self-monitoring tools and extend the on-site delivery to home-based settings for higher adherence and greater flexibility.Trial registrationRegistered at clinicaltrials.gov (NCT02657239).

Behavior Skills Training with Zoological Staff to Increase Killer Whale Attending Behavior.

Attending is a requisite behavior for interactions between animals in zoological care and their care specialist (trainers). Head-dropping behavior (HDB) is incompatible with attending and was observed with two killer whales during whale-trainer interactions (WTI). Initial observations also noted inconsistencies in the trainers' application of shaping procedures during WTI. A three-part plan was developed to address trainers procedural fidelity, increase whale attending during WTI, and program for the behavioral generalization and maintenance of the whale-trainer dyads (dyad). First, behavior skills training (BST) was used to instruct trainers on discrete trial training (DTT). Second, the trainers' applied their acquired skill of DTT, targeting attending behavior, with their whale during WTI. Third, behavioral generalization was programed by switching the dyad pairs in an additional DTT generalization phase. The findings demonstrated a strong positive correlation between trainer DTT fidelity and whale attending. Finally, the results suggest that future assessments of behavioral management programs with zoological trainers and animals are warranted.

Total Diet Replacement Within an Integrated Intensive Lifestyle Intervention for Remission of Type 2 Diabetes: Lessons From DiRECT.

The prognosis for people with type 2 diabetes (T2D) remains concerning, yet its seriousness is often underestimated. T2D is a manifestation, in susceptible individuals, of the disease-process of obesity, and at diagnosis, 10-year survival rates for T2D are around 50%. Here, we will examine: (a) the role of weight loss in T2D, (b) use of total diet replacements (TDRs) to induce weight loss, (c) the Diabetes Remission Clinical Trial (DiRECT) protocol and key results, (d) other dietary interventions related to T2D remission, (e) remission in real life, and (f) future directions. Remission of short-duration T2D will usually require 10-15% body weight loss, and results from the DiRECT trial demonstrated that this can be achieved within routine care in nearly half of all people undertaking a supported, TDR-led behavioural weight management programme. In light of these findings, which have since been replicated in the Diabetes Intervention Accentuating Diet and Enhancing Metabolism (DIADEM-I) trial conducted in the Middle East and North Africa, it is now time to prioritize weight loss programmes for T2D remission from diagnosis, and with increasing acceptance and availability of digital healthcare, there is an opportunity to scale up delivery of remission programmes in a cost effective manner.

Randomised, pragmatic, waitlist controlled trial of cannabis added to prescription opioid support on opioid dose reduction and pain in adults with chronic non-cancer pain: study protocol

IntroductionChronic, non-cancer pain impacts approximately 50 million adults in the USA (20%), approximately 25% of whom receive chronic prescription opioids for pain despite limited empirical efficacy data and strong dose-related...