Behavioral Weight Management Interventions Research Articles

The impact of adult behavioural weight management interventions on mental health: A systematic review and meta-analysis.

There is good evidence that behavioural weight management interventions improve physical health; however, the impact on mental health remains unclear. We evaluated the impact of behavioural weight management interventions on mental health-related outcomes in adults with overweight or obesity at intervention-end and 12 months from baseline. Eligible studies were randomized controlled trials (RCTs) or cluster RCTs of adult behavioural weight loss interventions reporting affect, anxiety, binge eating, body image, depression, emotional eating, quality of life, self-esteem and stress. We searched seven databases from inception to 7 May 2019 and included 43 articles reporting 42 RCTs. Eighteen studies were deemed to be at high risk of bias. We conducted random-effects meta-analyses, stratified analyses and meta-regression using Stata. Interventions generated greater improvements than comparators for depression, mental health-related quality of life and self-efficacy at intervention-end and 12 months from baseline. There was no difference between groups for anxiety, overall quality of life, self-esteem or stress at intervention-end. There was insufficient evidence to assess the impact on anxiety, binge eating, body image, emotional eating, affect, life satisfaction, self-esteem or stress at intervention-end and/or 12 months from baseline. Although evidence suggests that interventions benefit some aspects of mental health, high-quality, transparently reported RCTs measuring a range of mental health outcomes over longer durations are required to strengthen the evidence base.

Preliminary Impact of an Adapted Emotion Regulation Intervention for Adolescents with Overweight and Obesity Attempting to Lose Weight.

This study examines the acceptability, feasibility, and preliminary impact of a program (HealthTRAC) combining 2 efficacious interventions (one targeting emotion regulation [TRAC] and the other a standardized behavioral weight management intervention [SBWC]) to improve weight management outcomes among a sample of adolescents with overweight and obesity. Adolescents with overweight or obesity (N = 38), ages 13 to 17 years, were enrolled and randomized into either the SBWC or HealthTRAC. Data were collected at baseline (before intervention), at the end of the 16-week intervention (postintervention), and 4 months after completing the intervention (4 months). Assessments included adolescent self-reports of intervention acceptability and reported emotion regulation (ER) abilities and caregiver report of adolescent ER skills. Body mass index (BMI) was used to examine the impact on adolescent weight outcomes. Analyses of covariance controlling for baseline values were used to evaluate study outcomes. Eighty-four percent (n = 32) of participants completed the immediate postintervention and 4-month follow-up assessments. Adolescents in both conditions reported high treatment satisfaction. Adolescents randomized to HealthTRAC demonstrated greater reductions in BMI relative to SBWC and reported greater use of emotion regulation skills. Finally, caregivers of adolescents randomized to HealthTRAC also reported greater improvements in emotion regulation abilities among their adolescents at the 4-month follow-up. Findings suggest that the HealthTRAC intervention was acceptable, feasible to deliver, and demonstrated a positive impact on BMI and emotion regulation abilities. These data suggest that ER is related to health decision-making and is relevant to most overweight/obese adolescents seeking to lose weight.

Tackling reporting issues and variation in behavioural weight management interventions: Design and piloting of the standardized reporting of adult behavioural weight management interventions to aid evaluation (STAR-LITE) template.

In the United Kingdom, the National Institute for Health and Care Excellence make recommendations to guide the local-level selection and implementation of adult behavioural weight management interventions (BWMIs) which lack specificity. The reporting of BWMIs is generally poorly detailed, resulting in difficulties when comparing effectiveness, quality and appropriateness for participants. This non-standardized reporting makes meta-analysis of intervention data impossible, resulting in vague guidance based on weak evidence, reinforcing the urgent need for consistency and detail within BWMI description. STAR-LITE - a 4-section, 119-item standardized adult BWMI reporting template - was developed and tested using a two-phase process. After initial design, the template was piloted using adult behavioural weight management RCTs and currently implemented UK BWMI mapping information to further refine the template and examine current reporting and variance. Overall, reporting quality of weight management RCTs was poor, and large variance across different components of real-world BWMIs was observed. Non-specific guidance and wide variation in adult BWMIs are likely linked to inadequate RCT reporting quality and the inability to perform reliable comparisons of data. Future use of STAR-LITE would facilitate the consistent, detailed reporting of adult BWMIs, supporting their evaluation and comparison, to ultimately inform effective policy and improve weight management practice.

Effect of Behavioral Weight Management Interventions Using Lifestyle mHealth Self-Monitoring on Weight Loss: A Systematic Review and Meta-Analysis.

Alongside an increase in obesity, society is experiencing the development of substantial technological advances. Interventions that are easily scalable, such as lifestyle (including diet and physical activity) mobile health (mHealth) self-monitoring, may be highly valuable in the prevention and treatment of excess weight. Thus, the aims of this systematic review and meta-analysis were to estimate the following: (i) the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss and (ii) the adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring. MEDLINE via PubMed, EMBASE, the Cochrane Central Register of Controlled Trials and the Web of Science databases were systematically searched. The DerSimonian and Laird method was used to estimate the effect of and adherence to behavioral weight management interventions using lifestyle mHealth self-monitoring on weight loss. Twenty studies were included in the systematic review and meta-analysis, yielding a moderate decrease in weight and higher adherence to intervention of behavioral weight management interventions using lifestyle mHealth self-monitoring, which was greater than other interventions. Subgroup analyses showed that smartphones were the most effective mHealth approach to achieve weight management and the effect of behavioral weight management interventions using lifestyle mHealth self-monitoring was more pronounced when compared to usual care and in the short-term (less than six months). Furthermore, behavioral weight management interventions using lifestyle mHealth self-monitoring showed a higher adherence than: (i) recording on paper at any time and (ii) any other intervention at six and twelve months.

1274-P: Prevalence of Addictive-Like Eating in Hispanic Adolescents with Obesity Seeking Weight Management Treatment

Background: There is a growing body of literature exploring food addiction (FA) in adolescents with obesity and how it impacts treatment outcomes. Several studies have evaluated the prevalence of FA in youth with obesity as measured by the Yale Food Addiction Scale for children (YFAS-c) and rates vary from 4-22%. The rates of obesity in Hispanic youth is reported to be higher than in other ethnic groups however there is a paucity of literature exploring the prevalence of FA in this population. Due to our geographic location and our majority Hispanic patient population, we examined 1) the prevalence of FA in Hispanic adolescents with obesity and 2) the association between FA and demographic characteristics. Methods: Baseline data from a RCT on behavioral weight management interventions was used. Participants who self-identified as Hispanic, were 14-18 years of age, and with a BMI >95th% met criteria. Fisher’s exact test was used to assess the differences between adolescents with positive and negative YFAS-c scores and demographic characteristics. Results: In a sample of 59 Hispanic youth, 29% met criteria for FA. There was no significant difference in age, gender, or household income between adolescents with positive YFAS-c at baseline compared to those with negative scores. Conclusions: Hispanic youth with obesity have higher rates of FA than previous prevalence reports. This information is essential to consider prior to implementation of a weight management program as it may impact adherence, retention, and ultimately weight outcomes. Baseline behavioral phenotyping may be a strategy to ensure adolescents are receiving the services they require in conjunction with participation in a weight management program. These findings can help inform providers of the importance of screening for FA prior to intervention administration and possibly modifying the intervention content to address addictive like eating behaviors. Disclosure J. Gonzalez: None. C. Fink: None. C. Wee: None. E. Hegedus: None. K. Lopez: None. A. Vidmar: None. Funding eHealth International (CHLA 000193)

Testing a self-directed lifestyle intervention among veterans: The D-ELITE pragmatic clinical trial

Nearly half of Veterans have obesity, fueling chronic diseases. The Department of Veterans Affairs (VA) offers an evidence-based behavioral weight management intervention called MOVE!, mostly delivered through in-person group sessions. Few eligible Veterans participate due to factors like distance and preferences, mirroring barriers in the general population. Practical alternatives to standard in-person programs are needed to improve access and engagement. A self-directed lifestyle intervention called D-ELITE—delivered through pre-recorded videos by DVD or online streaming—previously efficacious in a general primary care population, may provide such an alternative. This pragmatic clinical trial will evaluate whether D-ELITE improves weight and general health status among Veterans with obesity, relative to VA usual care. The yearlong intervention includes one orientation by phone, supplemental lifestyle coaching primarily via technology-based messages, 12 DVD or online streaming sessions over 3 months, and continued self-directed weight management for months 4–12. Participants use MyFitnessPal.com or paper booklets for self-monitoring weight, diet, and physical activity. Follow-up assessments at 12 and 24 months are administered by mail or phone. The study hypothesis is that compared with usual care, D-ELITE will lead to greater improvements in 12-month weight loss, per VA electronic health records, and general physical health status, assessed using the self-reported SF-12 physical composite score. We will also explore D-ELITE's effects on secondary biometric (e.g., HbA1c) and intermediate (e.g., diet) outcomes, reach, and budget impact. If effective, D-ELITE will offer a potentially scalable, low-cost alternative to VA's existing weight loss interventions by mitigating barriers presented by distance and technology.

The dynamics of decision-making in weight loss and maintenance: a qualitative enquiry

BackgroundBehavioural approaches to weight loss are often initially successful but less so in the longer term, as some people maintain the necessary behaviour changes while others do not. This study aimed to derive possible explanations for this using a qualitative approach with a view to improving intervention effectiveness.MethodsThirty-six participants in a development and feasibility study for a weight loss and maintenance intervention (called SkiM) were interviewed three times over 18 months regarding their experiences before, during and after the intervention. Data were analysed thematically. The accounts of those who were more and less successful in terms of longer term weight loss were compared, and a conceptual model linking the main analytic themes was developed.ResultsFive interpretative themes were generated: encountering and managing key situations; the impact of emotion; the source of control; personal values; and acquiring knowledge and skills. These themes were linked through a model of decision-making during key situations. In this model, behavioural decisions emerge from a dynamic interplay between several drivers: emotional state and needs, perceived control, personal values, the individual’s knowledge and skills, and their existing habits. The individual’s response in key situations generates experiential learning that can influence decisional dynamics in similar situations in future. These dynamics appeared to differ between participants, and between those who were more and less successful in weight management.ConclusionsOur analysis and model of decision-making during weight-management have implications for the development and delivery of behavioural weight management interventions. By helping individuals to identify the drivers of their decision-making in key situations, and equipping them to manage these drivers, programmes may enhance their capacity to sustain the behaviour changes needed for long-term weight loss.

Behavioral Interventions for Weight Management in Overweight and Obese Adolescents: A Comparison Between a Motivation-based Educational Program and Conventional Dietary Counseling.

ObjectivesThis study aimed to compare the effects of a three-month motivation-based educational program and conventional dietary counseling on body composition and relevant outcomes among overweight and Obese adolescents.MethodsA total of 115 overweight and obese adolescents (46% boys) were randomly assigned to either a motivation-based program or a conventional dietary counseling. The assessments were conducted at baseline and 3, 6, and 12 months after intervention.ResultsMean age and body mass index (BMI) Z-score were 14.5 ± 1.2 and 2.42 ± 0.62, respectively. Considering time trend analysis, the two groups achieved significant improvements in BMI Z-score, wrist and waist circumferences, body composition indices, and HRQoL total scores after a one-year follow-up. Wrist circumference and the HRQoL reported by parents revealed significant differences between the study groups in favor of the motivation-based program.ConclusionsAlthough both programs could improve anthropometric indices and HRQoL over time, the motivation-based program was more effective in reducing adolescents’ wrist circumference and improving HRQoL, as the parents reported.

Impact of adult weight management interventions on mental health: a systematic review and meta-analysis protocol

IntroductionThe effects of interventions targeting weight loss on physical health are well described, yet the evidence for mental health is less clear. It is essential to better understand the impact...

A Systematic Review of Methods to Predict Weight Trajectories in Health Economic Models of Behavioral Weight-Management Programs: The Potential Role of Psychosocial Factors.

Objectives. There is limited evidence on the long-term effectiveness of behavioral weight-management interventions, and thus, when conducting health economic modeling, assumptions are made about weight trajectories. The aims of this review were to examine these assumptions made about weight trajectories, the evidence sources used to justify them, and the impact of assumptions on estimated cost-effectiveness. Given the evidence that some psychosocial variables are associated with weight-loss trajectories, we also aimed to examine the extent to which psychosocial variables have been used to estimate weight trajectories and whether psychosocial variables were measured within cited evidence sources. Methods. A search of databases (Medline, PubMed, Cochrane, NHS Economic Evaluation, Embase, PSYCinfo, CINAHL, EconLit) was conducted using keywords related to overweight, weight-management, and economic evaluation. Economic evaluations of weight-management interventions that included modeling beyond trial data were included. Results. Within the 38 eligible articles, 6 types of assumptions were reported (weight loss maintained, weight loss regained immediately, linear weight regain, subgroup-specific trajectories, exponential decay of effect, maintenance followed by regain). Fifteen articles cited at least 1 evidence source to support the assumption reported. The assumption used affected the assessment of cost-effectiveness in 9 of the 19 studies that tested this in sensitivity analyses. None of the articles reported using psychosocial factors to estimate weight trajectories. However, psychosocial factors were measured in evidence sources cited by 11 health economic models. Conclusions. Given the range of weight trajectories reported and the potential impact on funding decisions, further research is warranted to investigate how psychosocial variables measured in trials can be used within health economic models to simulate heterogeneous weight trajectories and potentially improve the accuracy of cost-effectiveness estimates.

Core outcome set for behavioural weight management interventions for adults with overweight and obesity: Standardised reporting of lifestyle weight management interventions to aid evaluation (STAR-LITE).

SummaryBehavioural weight management interventions in research studies and clinical practice differ in length, advice, frequency of meetings, staff, and cost. Few real‐world programmes have published patient outcomes and those that have used different ways of reporting information, making it impossible to compare interventions and develop the evidence base. To address this issue, we have developed a core outcome set for behavioural weight management intervention programmes for adults with overweight and obesity. Outcomes were identified via systematic review of the literature. A representative expert group was formed comprising people with experience of adult weight management services. An online Delphi process was employed to reach consensus as to which outcomes should be measured and reported and which definitions/instruments should be utilised. The expert group identified eight core outcomes and 12 core processes for reporting by weight management services. Eleven outcomes and five processes were identified as optional. The most appropriate definitions/instruments for measuring each outcome/process were also agreed. Our core outcome set will ensure consistency of reporting. This will allow behavioural weight management interventions to be compared, revealing which interventions work best for which members of the population and helping inform development of adult behavioural weight management interventions.

Weight Loss Intervention Impact on the Physical Fitness Test Scores of Air Force Service Members.

Overweight and obesity are a major public health concern in the United States, including among active duty military personnel. Approximately 51% of active duty personnel are classified as overweight and 15% are classified as obese. This may impact military readiness. The current study aimed to determine if a weight loss intervention impacted fitness test scores among Air Force personnel. From 2014 to 2016, 204 Air Force members with overweight/obesity were randomized into either a Self-paced or counselor-initiated arm in a weight loss program. Study procedures were approved by the Institutional Review Board of the 59th Medical Wing in San Antonio and were acknowledged by the Institutional Review Board at the University of Tennessee Health Science Center. Fitness test scores from before, during, and after the intervention were used to determine if the intervention resulted in improvements in overall fitness test ratings and scores on individual components of the test. Participants who lost at least 5% of their weight had better fitness ratings during the intervention compared to individuals who did not lose 5%. However, in the overall sample, fitness ratings worsened from preintervention to during the intervention, and from during to postintervention. Participants with overweight had better aerobic scores pre- and postintervention as well as better abdominal circumference scores and better fitness test ratings preintervention, during the intervention and postintervention compared to participants with obesity. Behavioral weight management interventions that achieve 5% weight loss may help improve military fitness test ratings.

Family-based, healthy living intervention for children with overweight and obesity and their families: a ‘real world’ trial protocol using a randomised wait list control design

IntroductionFamily-based behavioural weight management interventions are efficacious and widely used to address childhood obesity. Curriculum and strategies vary extensively and scale-up often depends on ensuring that the intervention fits the...

Does the built environment influence the effectiveness of behavioral weight management interventions?

Outcomes of behavioral lifestyle interventions for promoting weight loss vary widely across participants. The effectiveness of a weight management intervention may depend on a person's environmental context. This study compared short- and longer-term effects of a structured nationwide weight management program for people living in neighborhoods with different levels of walkability and different access to recreational places (parks, fitness facilities). Drawing on the health production model, we tested competing hypotheses for whether treatment effects of the program complement environmental supports or substitute for environmental constraints. We studied the US Department of Veterans Affairs (VA) MOVE! weight management program using VA electronic heath record data (2009–2014) and a difference-in-differences design with an inverse propensity score matched comparison group. A total of 114,256 program participants and 498,494 non-participants comprised the sample. Built environment features were measured within one-mile of each person's home. We estimated program effects on body mass index (BMI) for subgroups with different built environments at 6-, 12-, 18-, and 24-month follow-up using linear regressions with person and year fixed effects. At 6 months, the program reduced BMI by 0.4–0.6 kg/m2 among men and 0.3–0.5 kg/m2 among women. The effect diminished at 12, 18, and 24 months. The program effect did not vary significantly across subgroups with different walkability, park access, or fitness facility access. The MOVE! program was not sensitive to environmental context. Results did not lend support to either hypothesis that the MOVE! program complements or substitutes for a person's built environment to affect weight management outcomes.

Maternal BMI Change Linked to Child Activity Change in Family-Based Behavioral Interventions for Pediatric Weight Management.

Background: This study investigated whether change in maternal BMI was associated with change in child's moderate-to-vigorous physical activity (MVPA) and prolonged sedentary time during the course of family-based behavioral interventions (FBBIs) for pediatric weight management. Methods: Children (n = 120) ages 5-12 [mean age = 9.04 ± 1.7) years with a baseline BMI ≥85th percentile (mean BMIz = 1.8 ± 0.5) and families were enrolled in one of three similar FBBIs for pediatric weight management and followed over 6-12 months. Activity data were collected through accelerometers. Mixed effects regression models assessed the relationship of maternal change in BMI to child change in (1) minutes/d of MVPA and (2) proportion of time spent in sedentary bouts lasting ≥10 minutes (termed prolonged sedentary time), and whether the effect of maternal BMI change was moderated by child age, sex, and race/ethnicity. Results: A decrease in maternal BMI was associated with both an increase in child MVPA, B = -2.77, t = -2.03, p = 0.048, and a decrease in proportion/d of prolonged sedentary time, B = 0.02, t = 2.40, p = 0.020, from baseline to follow-up. Child age moderated the association between maternal BMI change and change in child prolonged sedentary time (p = 0.095), whereby the association was limited to 5- to 10-year-olds and became stronger as age decreased. Conclusions: Improvement in maternal BMI showed important positive associations with child MVPA and prolonged sedentary time over the course of FBBIs for pediatric weight management. Targeting parent weight loss could improve child outcomes in FBBIs, particularly in younger children.

Behavioural weight management interventions for postnatal women: A systematic review of systematic reviews of randomized controlled trials.

This systematic review of systematic reviews investigated the effectiveness of lifestyle weight management interventions for postnatal women. We systematically reviewed Medline (PubMed), Embase, CINAHL Plus, The Cochrane Library, and Scopus from 2000 until January 2018, to identify systematic reviews of randomized controlled trials that evaluated the effectiveness of behavioural lifestyle interventions for weight management in postnatal women. Results were summarized both descriptively and statistically using a mega meta-analysis of data from randomized controlled trials included in previous systematic reviews. Nine systematic reviews met our inclusion criteria. Overall the reviews concluded that lifestyle interventions involving physical activity and/or dietary changes resulted in a reduction in postnatal weight. Results from the overall mega meta-analysis confirmed this finding with a mean difference of -1.7kg (95% CI, -2.3 to -1.1). Findings for subgroup analyses gave mean differences of -1.9kg (95% CI, -2.9 to -1.0) for combined diet and physical activity interventions, -1.6kg (95% CI, -2.1 to -1.2) for physical activity-only interventions, and -9.3kg (95% CI, -16.5 to -2.1) for diet-only interventions (one study). Heterogeneity varied from 0% to 68%. Interventions involving lifestyle interventions appeared to be effective in reducing weight in postnatal women, although these findings should be interpreted with some caution due to statistical heterogeneity.

Combined financial incentives and behavioral weight management to enhance adherence with gestational weight gain guidelines: a randomized controlled trial

Excessive gestational weight gain, particularly among overweight and obese women, is associated with adverse perinatal outcomes. Current interventions to limit gestational weight gain have achieved only modest success. We sought to improve adherence to gestational weight gain guidelines with a dual intervention of financial incentives and antenatal behavioral weight management. This was a prospective randomized controlled trial at a single academic medical center in which women were assigned randomly to the intervention group or standard care. The primary outcome was adherence to gestational weight gain guidelines. Secondary outcomes included total gestational weight gain, mode of delivery, birthweight, neonatal intensive care unit admission, and development of gestational diabetes mellitus and hypertensive disorders of pregnancy. A total of 136 women were assigned randomly, with data available for analysis of 124 women. Gestational weight gain within the Institutes of Medicine guidelines was similar (30% vs 29%) in the intervention and standard care groups, respectively. There were no statistically significant differences in total gestational weight gain or perinatal outcomes. There was a nonstatistically significant decrease in macrosomia in the intervention compared with standard care condition. A combined financial incentive and behavioral weight management intervention did not improve adherence to gestational weight gain guidelines. Modifications to the intervention may achieve improved results.

81: An intensive behavioral intervention did not reduce gestational weight gain in overweight and obese gravidas

More than half of overweight and obese women gain too much weight during pregnancy. This excessive weight gain increases risks of adverse perinatal outcomes, maternal postpartum weight retention, and childhood obesity. We aimed to evaluate the effectiveness of an antenatal intervention to target gestational weight gain (GWG) to current guidelines. We performed a prospective randomized clinical trial. Overweight and obese women with singleton gestations were recruited in the first trimester of pregnancy and randomized to usual care or a behavioral weight management intervention with financial incentives contingent upon meeting weight gain goals. The primary outcome was adherence to GWG guidelines. Group means were compared using ANOVA or ANCOVA and proportions were compared using chi-squared tests. 124 women were randomized and included in the analysis. The average BMI and % obese were similar between groups (32.3±5.7 vs 32.4±5.9 kg/m2 and 61% vs 60% intervention group vs usual care, respectively). Neither total GWG (21.4±1.6 vs 23.0±1.8 lbs; p=.52) nor GWG within/below guidelines (50.8% vs 47.7%; p=.73) differed between the intervention group and usual care. Results were unchanged when only obese women were included in the analysis. There was a trend towards fewer cases of large for gestational age neonates in the intervention group (11% vs 28%; p=.07) among obese women. An intensive behavioral intervention did not improve adherence to GWG guidelines in overweight and obese gravidas. These data suggest that antenatal modifications to GWG may be limited and highlights the importance of prepregnancy weight loss. Novel approaches are needed to optimize GWG in overweight and obese women.

Development of a Control-Oriented Model of Social Cognitive Theory for Optimized mHealth Behavioral Interventions.

Mobile health (mHealth) technologies are contributing to the increasing relevance of control engineering principles in understanding and improving health behaviors, such as physical activity. Social Cognitive Theory (SCT), one of the most influential theories of health behavior, has been used as the conceptual basis for behavioral interventions for smoking cessation, weight management, and other health-related outcomes. This paper presents a control-oriented dynamical systems model of SCT based on fluid analogies that can be used in system identification and control design problems relevant to the design and analysis of intensively adaptive interventions. Following model development, a series of simulation scenarios illustrating the basic workings of the model are presented. The model's usefulness is demonstrated in the solution of two important practical problems: 1) semiphysical model estimation from data gathered in a physical activity intervention (the MILES study) and 2) as a means for discerning the range of "ambitious but doable" daily step goals in a closed-loop behavioral intervention aimed at sedentary adults. The model is the basis for ongoing experimental validation efforts, and should encourage additional research in applying control engineering technologies to the social and behavioral sciences.

Older Adults and Diabetes Prevention Programs in the Veterans Health Administration.

To investigate whether older veterans enrolled in two diabetes prevention programs (DPPs) in the Veterans Health Administration will have similar weight loss as younger veterans. Post hoc analysis of data from two prospective, pragmatic, nonrandomized studies of behavioral weight management interventions that were delivered in-person (Department of Veterans Affairs [VA]-DPP) or online (Online-DPP), comparing participation and weight loss between participants aged ≥65 years (N = 120) vs. <65 years (N = 258). Over 70% of participants in both age groups completed eight or more sessions within 6 months; a higher proportion completed eight or more sessions in the Online-DPP intervention than in the VA-DPP intervention (P < 0.05). The overall weight changes at 6 and 12 months were similar across the two age groups: ∼5 kg or 5% weight loss compared with baseline (P > 0.05). DPPs delivered in person or online can be similarly effective in older and younger veterans. Online programs may be an important means to improve the reach of DPPs for older adults.