Effects of a group-based weight management programme on anxiety and depression: A randomised controlled trial (RCT).

OBJECTIVES: The aim was to investigate the impact of a group-based weight management programme on symptoms of depression and anxiety compared with self-help in a randomised controlled trial (RCT). METHOD: People with overweight (Body Mass Index [BMI]≥28kg/m2) were randomly allocated self-help (n = 211) or a group-based weight management programme for 12 weeks (n = 528) or 52 weeks (n = 528) between 18/10/2012 and 10/02/2014. Symptoms were assessed using the Hospital Anxiety and Depression Scale, at baseline, 3, 12 and 24 months. Linear regression modelling examined changes in Hospital Anxiety and Depression Scale between trial arms. RESULTS: At 3 months, there was a -0.6 point difference (95% confidence interval [CI], -1.1, -0.1) in depression score and -0.1 difference (95% CI, -0.7, 0.4) in anxiety score between group-based weight management programme and self-help. At subsequent time points there was no consistent evidence of a difference in depression or anxiety scores between trial arms. There was no evidence that depression or anxiety worsened at any time point. CONCLUSIONS: There was no evidence of harm to depression or anxiety symptoms as a result of attending a group-based weight loss programme. There was a transient reduction in symptoms of depression, but not anxiety, compared to self-help. This effect equates to less than 1 point out of 21 on the Hospital Anxiety and Depression Scale and is not clinically significant.

Clinical management and treatment of obesity in China.

China has one of the largest populations with obesity in the world, and obesity has become a major challenge for the country's health-care system. Current guidelines for obesity management are not adequately supported by evidence from clinical studies in Chinese populations. Effective lifestyle interventions suitable for Chinese populations are scarce, insufficient weight-loss medications have been approved by regulatory bodies, and there is low acceptance of non-lifestyle interventions (ie, medications and surgery) among both health-care providers and the general public. Large, well designed, and well implemented clinical trials are needed to strengthen the evidence base for the clinical management of obesity in China. Obesity management can be improved through use of a tiered system involving health management centres, integrated lifestyle interventions and medical treatments, strengthened obesity education and training, and use of advanced electronic health technologies. Resource mobilisation, support from major stakeholders for people with overweight or obesity, and education and changes to social norms among the wider public are also needed. National health policies should prioritise both obesity prevention and improvement of the treatment and management of obesity.

Self-Monitoring via Digital Health in Weight Loss Interventions: A Systematic Review Among Adults with Overweight or Obesity.

OBJECTIVE: Self-monitoring is a core component of behavioral obesity treatment, but it is unknown how digital health has been used for self-monitoring, what engagement rates are achieved in these interventions, and how self-monitoring and weight loss are related. METHODS: This systematic review examined digital self-monitoring in behavioral weight loss interventions among adults with overweight or obesity. Six databases (PubMed, Embase, Scopus, PsycInfo, CINAHL, and ProQuest Dissertations & Theses) were searched for randomized controlled trials with interventions ≥ 12 weeks, weight outcomes ≥ 6 months, and outcomes on self-monitoring engagement and their relationship to weight loss. RESULTS: Thirty-nine studies from 2009 to 2019 met inclusion criteria. Among the 67 interventions with digital self-monitoring, weight was tracked in 72% of them, diet in 81%, and physical activity in 82%. Websites were the most common self-monitoring modality, followed by mobile applications, wearables, electronic scales, and, finally, text messaging. Few interventions had digital self-monitoring engagement rates ≥ 75% of days. Rates were higher in digital- than in paper-based arms in 21 out of 34 comparisons and lower in just 2. Interventions with counseling had similar rates to standalone interventions. Greater digital self-monitoring was linked to weight loss in 74% of occurrences. CONCLUSIONS: Self-monitoring via digital health is consistently associated with weight loss in behavioral obesity treatment.

Using targeting to recruit men and women of color into a behavioral weight loss trial.

BACKGROUND: The majority of participants in weight loss trials are non-Hispanic White women, while men and women of color are underrepresented. This study presents data obtained from non-targeted and targeted recruitment approaches in a trial of behavioral weight loss programs to (1) describe the yields from each approach and (2) compare the demographics, weight control histories, and study involvement of samples recruited by each approach. METHODS: Data for this observational study include source of recruitment, demographic information, weight loss experiences (e.g., lifetime weight loss, current weight loss behaviors), and completion of the 6-month assessment visit. RESULTS: Men comprised 14.2% of participants who responded to non-targeted recruitment efforts, while targeted efforts yielded 50.4% men. Similarly, people of color comprised 12.8% of those who responded to non-targeted approaches, whereas targeted recruitment methods yielded 47.2% people of color. Men recruited through targeted methods were younger (p = 0.01) than men recruited through non-targeted means but were otherwise similar. Women of color recruited through targeted methods reported use of fewer weight loss strategies relative to women of color recruited through non-targeted means (p = 0.006) but were otherwise similar. There were no differences by recruitment method on retention to the study. CONCLUSIONS: Using targeted recruitment methods increased the ethnic and gender diversity of the recruited sample without reducing study retention. This targeting also increased the enrollment of women with less weight loss experience who may not have otherwise sought out a weight loss program. Developing and implementing a targeted recruitment plan should be considered early in the clinical trial development process. TRIAL REGISTRATION: Clinicaltrials.gov, NCT02368002. Registered on 20 February 2015.

Recruitment and reach in a pragmatic behavioral weight loss randomized controlled trial: implications for real-world primary care practice.

BACKGROUND: Obesity is a major risk factor behind some of the most common problems encountered in primary care. Although effective models for obesity treatment have been developed, the 'reach' of these interventions is poor and only a small fraction of primary care patients receive evidence-based treatment. The purpose of this study is to identify factors that impact the uptake (reach) of an evidence-based obesity treatment program within the context of a pragmatic cluster randomized controlled trial comparing three models of care delivery. METHODS: Recruitment and reach were evaluated by the following measures: 1) mailing response rates, 2) referral sources among participants contacting the study team, 3) eligibility rates, 4) participation rates, and 5) representativeness based on demographics, co-morbid conditions, and healthcare utilization of 1432 enrolled participants compared to > 17,000 non-participants from the clinic-based patient populations. Referral sources and participation rates were compared across study arms and level of clinic engagement. RESULTS: The response rate to clinic-based mailings was 13.2% and accounted for 66% of overall program recruitment. An additional 22% of recruitment came from direct clinic referrals and 11% from media, family, or friends. Of those screened, 87% were eligible; among those eligible, 86% enrolled in the trial. Participation rates did not vary across the three care delivery arms, but were higher at clinics with high compared to low provider involvement. In addition, clinics with high provider involvement had a higher rate of in clinic referrals (33% versus 16%) and a more representative sample with regards to BMI, rurality, and months since last clinic visit. However, across clinics, enrolled participants compared to non-participants were older, more likely to be female, more likely to have had a joint replacement but less likely to have CVD or smoke, and had fewer hospitalizations. CONCLUSIONS: A combination of direct patient mailings and in-clinic referrals may enhance the reach of primary care behavioral weight loss interventions, although more proactive outreach is likely necessary for men, younger patients, and those at greater medial risk. Strategies are needed to enhance provider engagement in referring patients to behavioral weight loss programs. TRIAL REGISTRATION: clnicialtrials.gov NCT02456636. Registered May 28, 2015, https://www.clinicaltrials.gov/ct2/results?cond=&term=RE-POWER&cntry=&state=&city=&dist=.

Cost-Effectiveness of a Weight Loss Intervention: An Adaptation of the Look AHEAD Lifestyle Intervention in the US Military.

OBJECTIVE: This study aimed to assess whether a counselor-initiated (CI) adaptation of the Look AHEAD (Action for Health in Diabetes) intensive lifestyle intervention in a military setting was cost-effective relative to a self-paced (SP) adaptation. METHODS: A cost-effectiveness analysis from a payer perspective was performed alongside a 2014-2017 randomized behavioral weight loss trial among 248 active-duty military personnel stationed at a US Air Force base in Texas. Incremental cost-effectiveness ratios were calculated for weight loss, reductions in waist circumference, and quality-adjusted life-years (QALYs). RESULTS: After 12 months, the CI adaptation cost more per participant compared with the SP adaptation ($1,081 vs. $120) but achieved greater weight loss (1.86 kg vs. 0.06 kg), greater reductions in waist circumference (1.85 cm vs. 0.48 cm), and more QALYs (0.871 vs. 0.856). The incremental cost-effectiveness ratio for the CI adaptation relative to the SP adaptation was $61,268 per additional QALY. At willingness-to-pay thresholds of $50,000 and $100,000 per QALY, the CI adaptation was 45% and 49% likely to be cost-effective, respectively. CONCLUSIONS: The CI delivery of the Look AHEAD Intensive Lifestyle Intervention may offer a cost-effective approach to tackle excess weight in the US military.

Insurance Coverage Criteria for Bariatric Surgery: A Survey of Policies.

BACKGROUND: Bariatric surgery remains underutilized at a national scale, and insurance company reimbursement is an important determinant of access to these procedures. We examined the current state of coverage criteria for bariatric surgery set by private insurance companies. METHODS: We surveyed medical policies of the 64 highest market share health insurance providers in the USA. ASMBS guidelines and the CMS criteria for pre-bariatric evaluation were used to collect private insurer coverage criteria, which included procedures covered, age, BMI, co-morbidities, medical weight management program (MWM), psychosocial evaluation, and a center of excellence designation. We derive a comprehensive checklist for pre-bariatric patient evaluation. RESULTS: Sixty-one companies (95%) had defined pre-authorization policies. All policies covered the RYGB, and 57 (93%) covered the LAGB or the SG. Procedures had coverage limited to center of excellence in 43% of policies (n = 26). A total of 92% required a BMI of 40 or above or of 35 or above with a co-morbidity; however, 43% (n = 23) of policies covering adolescents (n = 36) had a higher BMI requirement of 40 or above with a co-morbidity. Additional evaluation was required in the majority of policies (MWM 87%, psychosocial evaluation 75%). Revision procedures were covered in 79% (n = 48) of policies. Reimbursement of a second bariatric procedure for failure of weight loss was less frequently found (n = 41, 67%). CONCLUSIONS: A majority of private insurers still require a supervised medical weight management program prior to approval, and most will not cover adolescent bariatric surgery unless certain criteria, which are not supported by current evidence, are met.

Cultural adaptation of an existing children's weight management programme: the CHANGE intervention and feasibility RCT.

BACKGROUND: Excess weight in children is a continuing health issue. Community-based children's weight management programmes have had some effect in promoting weight loss. Families from minority ethnic communities are less likely to complete these programmes but, to date, no programmes have been culturally adapted to address this. OBJECTIVES: We aimed to (1) culturally adapt an existing weight management programme for children aged 4-11 years and their families to make it more suited to Pakistani and Bangladeshi communities but inclusive of all families and (2) evaluate the adapted programme to assess its feasibility and acceptability, as well as the feasibility of methods, for a future full-scale trial. DESIGN: In phase I, a cultural adaptation of a programme that was informed by formative research and guided by two theoretical frameworks was undertaken and in phase II this adapted programme was delivered in a cluster-randomised feasibility study (for which the clusters were the standard and adapted children's weight management programmes). SETTING: Birmingham: a large, ethnically diverse UK city. PARTICIPANTS: In phase I, Pakistani and Bangladeshi parents of children with excess weight, and, in phase II, children aged 4-11 years who have excess weight and their families. INTERVENTIONS: A culturally adapted children's weight management programme, comprising six sessions, which was delivered to children and parents, targeting diet and physical activity and incorporating behaviour change techniques, was developed in phase I and delivered in the intervention arm to 16 groups in phase II. The eight groups in the comparator arm received the standard (unadapted) children's weight management programme. MAIN OUTCOME MEASURES: The primary outcome was the proportion of Pakistani and Bangladeshi families completing (attending ≥ 60% of) the adapted programme. Secondary outcomes included the proportion of all families completing the adapted programme, the feasibility of delivery of the programme, the programme's acceptability to participants, the feasibility of trial processes and the feasibility of collection of outcome and cost data. RESULTS: The proportion of Pakistani and Bangladeshi families and all families completing the adapted programme was 78.8% [95% confidence interval (CI) 64.8% to 88.2%] and 76.3% (95% CI 67.0% to 83.6%), respectively. The programme was feasible to deliver with some refinements and was well received. Ninety-two families participated in outcome data collection. Data collection was mostly feasible, but participant burden was high. Data collection on the cost of programme delivery was feasible, but costs to families were more challenging to capture. There was high attrition over the 6-month follow-up period (35%) and differential attrition in the two study arms (29% and 52% in the intervention and comparator arms, respectively). LIMITATIONS: The study was not designed to address the issue of low participant uptake of children's weight management programmes. The design of a future trial may include individual randomisation and a 'minimal intervention' arm, the acceptability of which has not been evaluated in this study. CONCLUSIONS: The theoretically informed, culturally adapted children's weight management programme was highly acceptable to children and families of all ethnicities. Consideration should be given to a future trial to evaluate clinical effectiveness and cost-effectiveness of the adapted programme, but the design of a future trial would need to address the logistics of data collection, participant burden and study attrition. TRIAL REGISTRATION: Current Controlled Trials ISRCTN81798055. FUNDING: This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 23, No. 33. See the NIHR Journals Library website for further project information. Kate Jolly is part-funded by the Collaboration for Leadership in Applied Health Research and Care West Midlands.

Many programmes have been designed for children with excess weight and their families to help them try and lose weight. Often families start going to these programmes but do not complete them. This has been noted to be an issue in families from ethnic minority communities. We aimed to adapt an existing programme for families of primary school children with excess weight to make it more suitable for Pakistani and Bangladeshi families. We asked parents from these communities who had experience of the existing programme what they thought about it and what they would like to change. We used this information to help us adapt the existing programme. We also aimed to make the programme acceptable to families of all ethnicities. We then aimed to (1) test delivery of the adapted programme, (2) see whether or not it was acceptable to Pakistani and Bangladeshi families and families of other ethnicities and (3) test methods to be used in a future research study to determine whether or not the adapted programme helps children to lose weight and provides value for money. We asked parents and children who attended and the staff delivering the new programme for their views. A panel of Pakistani and Bangladeshi parents helped us to plan our study methods. The programme was successfully delivered and the parents, children and staff all enjoyed it. Overall, 76% of families from all ethnic backgrounds who started attending the programme completed it. This was substantially higher than the 58% of families who completed the standard (unadapted) programme. We identified several issues that we would need to take into account when designing a future study. These include making sure that the families taking part are not overburdened and that we take steps to make sure that as many families as possible are followed up until the end of the study.

Development of the Top Tips Habit-Based Weight Loss App and Preliminary Indications of Its Usage, Effectiveness, and Acceptability: Mixed-Methods Pilot Study.

BACKGROUND: The Ten Top Tips (10TT) is an intervention based on the habit formation theory that promotes a set of weight management behaviors alongside advice about repetition in a consistent context. Overall, 3 studies have demonstrated that the 10TT can support individuals to lose weight when delivered in a leaflet format. Delivery of 10TT via new technology such as a mobile app could potentially improve its effectiveness and make it more convenient, appealing, and wide reaching. OBJECTIVE: This study aimed to provide preliminary indications of the usage, effectiveness, and acceptability of an Android app of the 10TT intervention (Top Tips only app) and a second version including self-regulatory strategies for dealing with tempting foods (Top Tips plus app). METHODS: The 3-month pilot randomized adults with overweight or obesity to (1) Top Tips only app, (2) Top Tips plus app, or (3) waiting list condition. Automated data from app users were collected. Validated questionnaires assessed self-regulatory skills, weight loss (kg), and behaviors at baseline and 3 months. Users' feedback on their experience using the app was assessed using open questions. RESULTS: A total of 81 participants took part in the pilot; 28 participants were randomized to the Top Tips only app, 27 to the Top Tips plus app, and 26 to the waiting list condition. On average, participants viewed a mean of 43.4 (SD 66.9) screens during a mean of 24.5 (SD 44.07) log-ins and used the app for 124.2 (SD 240.2) min over the 3-month period. Participants randomized to the Top Tips only app reported the greatest improvement in self-regulatory skills (mean 0.59, SD 1.0), weight loss (mean 4.5 kg, SD 5.2), and adherence to the target behaviors (mean 0.59, SD 0.49) compared with the Top Tips plus (meanself-regulation 0.15, SD 0.42; meanweight -1.9, SD 3.9; and meanbehaviors 0.29, SD 0.29) and waiting list condition (meanself-regulation -0.02, SD 0.29; meanweight -0.01, SD 0.51; and meanbehaviors 0.08, SD 0.38). Participants who reported the largest improvements, on average, viewed pages 2 to 3 times more, had 2 to 3 times more log-ins, logged their weight 2 to 3 times more, and achieved the tips more than those who reported smaller changes in these outcomes. According to users' feedback, engagement with the app could be increased by making the app more interactive and allowing more tailoring. CONCLUSIONS: This study suggests that the Top Tips app could potentially be a useful intervention for promoting eating self-regulatory skills, weight loss, and weight management behaviors among adults with overweight or obesity. Future research should develop the app further based on user feedback and test it in larger sample sizes. TRIAL REGISTRATION: ISRCTN Registry ISRCTN10470937; http://www.isrctn.com/ISRCTN10470937 (Archived by Webcite at http://www.webcitation.org/76j6rQibI).

Barriers to participation in web-based and in-person weight management interventions for serious mental illness.

OBJECTIVE: This study examines barriers to participation and retention in 2 modalities (web-based and in-person) of a weight-management intervention tailored for individuals with serious mental illness (SMI). METHOD: Using a mixed-methods approach, we explored the barriers veterans with SMI face when participating in a web-based (WebMOVE) or in-person (MOVE-SMI) version of the same SMI-adapted MOVE weight-management program. Participants in the randomized controlled trial (n = 277) were recruited from specialty mental health clinics at a Veterans Affairs medical center. Barriers were analyzed across treatment condition and program attendance (engagement) at baseline and follow-up using a generalized lineal model. Post hoc analyses assessed whether changes in the trajectory of barriers over time were associated with engagement. A subsample of participants (n = 48) from the WebMOVE and MOVE-SMI treatment conditions completed a qualitative interview, and 2 coders used open coding to analyze the data. RESULTS: Although barriers specific to treatment modality existed, most barriers cut across intervention modality, including financial hardship, lack of reliable housing and transportation, comorbid physical and mental health issues, and competing demands on personal time. Results of post hoc analyses found the association between engagement and emotional and motivational factors to be statistically significant. CONCLUSIONS: This study is the 1st to identify barriers in a web-based intervention for SMI. Similar barriers persisted across treatment modalities. Known barriers, particularly socioeconomic barriers, should be addressed to improve engagement and retention of individuals in weight-management interventions adapted for SMI, irrespective of modality. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Only 1 in 10 Patients Told to Lose Weight Seek Help From a Health Professional: A Nationally Representative Sample.

PURPOSE: Receiving weight loss advice from a health-care provider has been associated with more weight loss efforts and greater odds of achieving weight loss. However, whether patients seek help from their provider or other health professional with weight loss after receiving advice from them to lose weight is largely unknown. DESIGN: Cross-sectional data from the 2011 to 2012 National Health and Nutrition Examination Survey (NHANES). SAMPLE: A total of 3862 overweight/obese adults. MEASURES: Questionnaires asked whether participants received advice to lose weight, and whether they sought health professional's assistance with weight management. The NHANES 2011 to 2012 was the most recent year both questions were asked. ANALYSIS: Accounting for NHANES sampling and design, frequency distributions characterized demographics and proportions. Logistic regressions estimated odds of seeking weight loss help by demographics. RESULTS: Of 3682 overweight/obese adults, 1908 were told they were overweight or recommended to lose weight. Of 1908 people, 68% reported weight loss efforts, but only health 10.9% sought a health professional's help (dietician/nutritionist 4.7%, personal trainer 3.0%, doctor 2.8%). Females, people with health insurance and high health-care utilization had 1.5 to 3.5 times greater odds of seeking help; age, ethnicity, and income were not significantly associated with seeking help with weight management. CONCLUSION: In a nationally representative sample, only 10.9% of overweight/obese adults told to lose weight by a provider sought help from a health professional with weight loss. This underscores the opportunity for greater health professional involvement with weight management beyond giving recommendations.

Log2Lose: Development and Lessons Learned From a Mobile Technology Weight Loss Intervention.

BACKGROUND: Providing financial incentives has gained popularity as a strategy to promote weight loss, but questions remain about how best to utilize them. A promising mobile health strategy provides users with near-real-time financial incentives based on both the process of weight loss (behavioral modification) and actual weight loss. To maximize the impact of this strategy, a methodology is needed to close the gap between the desired behavior and the financial incentive. Leveraging mobile health tools-such as mobile phone apps, cellular body weight scales that transmit data to physicians and researchers, and text messaging for instructions and encouragement-has the potential to close this gap. OBJECTIVE: This study aimed to describe the development of an innovative technology-based solution and lessons learned from a feasibility trial-Log2Lose-that encouraged individuals to lose weight by providing near-real-time financial incentives for weight loss and/or dietary self-monitoring. METHODS: We recruited participants (N=96) with a body mass index greater than or equal to 30 kg/m2 for a 24-week weight loss trial. Participants received a behavioral intervention of biweekly, in-person group sessions and were instructed to log a minimum number of daily calories in MyFitnessPal and to step on the BodyTrace cellular scale at least twice per week. In a 2×2 design, participants were randomized into 4 groups to receive financial incentives for the following: (group 1) weekly weight loss and dietary self-monitoring, (group 2) dietary self-monitoring only, (group 3) weekly weight loss only, or (group 4) no financial incentives. Diet and weight data from the devices were obtained through application programming interfaces. Each week, we applied algorithms to participants' data to determine whether they qualified for a monetary incentive (groups 1-3). A text message notified these participants of whether they met weight loss and/or self-monitoring requirements to earn an incentive and the amount they earned or would have earned. The money was uploaded to a debit card. RESULTS: Our custom-engineered software platform analyzed data from multiple sources, collated and processed the data to send appropriate text messages automatically, and informed study staff of the appropriate incentives. We present lessons learned from the development of the software system and challenges encountered with technology, data transmission, and participants (eg, lost connections or delayed communication). CONCLUSIONS: With consistent and constant validation checks and a robust beta test run, the process of analyzing data and determining eligibility for weekly incentives can be mostly automated. We were able to accomplish this project within an academic health system, which required significant security and privacy safeguards. Our success demonstrates how this methodology of automated feedback loops can provide health interventions via mobile technology. TRIAL REGISTRATION: ClinicalTrials.gov NCT02691260; https://clinicaltrials.gov/ct2/show/NCT02691260.

How does whole of government action address inequities in obesity? A case study from Australia.

BACKGROUND: There are many factors across different sectors that contribute to inequities in obesity levels. This implies the need for action across different government departments and policy domains (hereafter referred to as whole of government multisectoral action). In this study we explored the public policy attention given to inequities in obesity using an Australian case study. METHODS: Interviews were conducted with 33 stakeholders involved in the development and implementation of the whole of government Healthy Weight Initiative (HWI). A thematic analysis was undertaken to identify ways in which government policy makers and implementers explicitly or implicitly described how actions delivered through the HWI addressed inequities in obesity within the population. RESULTS: The analysis revealed that the focus of the HWI was predominantly aimed at the general population, with minimal attention given to addressing the social distribution of obesity. The reasons for this were explained in terms of five themes: (1) rationale for a population wide approach; (2) when to apply an equity lens, (3) issues of government responsibility, (4) philosophically opposing concepts of equity, and (5) tensions across departments as a result of competing concepts of equity. CONCLUSIONS: It is important to create a shared understanding plus a concern for addressing inequities in public policy, regardless of whether or not a universal population-wide or a targeted approach is being applied. It is also important that policies and programs address the social distribution of obesity while understanding local contexts and needs. In striving to develop policy that brings an explicit focus on health equity, policymakers must consider the sociological, political, economic, and philosophical tensions at play between different policy actors and government departments, and identify how to navigate these without reverting to siloed working.

Characteristics Associated With Participation in a Behavioral Weight Loss Randomized Control Trial in the U.S. Military.

INTRODUCTION: Effective recruitment and subsequent enrollment of diverse populations is often a challenge in randomized controlled trials, especially those focused on weight loss. In the civilian literature, individuals identified as racial and ethnic minorities, men, and younger and older adults are poorly represented in weight loss interventions. There are limited weight loss trials within military populations, and to our knowledge, none reported participant characteristics associated with enrollment. There may be unique motives and barriers for active duty personnel for enrollment in weight management trials. Given substantial costs and consequences of overweight and obesity in the U.S. military, identifying predictors and limitations to diverse enrollment can inform future interventions within this population. The study aims to describe the recruitment, screening, and enrollment process of a military weight loss intervention. Demographic and lifestyle characteristics of military personnel lost between screening and randomization are compared to characteristics of personnel randomized in the study and characteristics of the Air Force in general. MATERIALS AND METHODS: The Fit Blue study, a randomized controlled behavioral weight loss trial for active duty personnel, was approved by the Institutional Review Board of the Wilford Hall Ambulatory Surgical Center in San Antonio, TX, USA and acknowledged by the Institutional Review Board at the University of Tennessee Health Science Center. Logistic regressions compared participant demographics, anthropometric data, and health behaviors between personnel that attended a screening visit but were not randomized and those randomized. Multivariable models were constructed for the likelihood of being randomized using a liberal entry and stay criteria of 0.10 for the p-values in a stepwise variable selection algorithm. Descriptive statistics compared the randomized Fit Blue cohort demographics to those of the U.S. Air Force. RESULTS: In univariate analyses, older age (p < 0.02), having a college degree or higher (p < 0.007) and higher military rank (p < 0.02) were associated with completing the randomization process. The randomized cohort reported a lower percentage of total daily kilocalories for fat compared to the non-randomized cohort (p = 0.033). The non-randomized cohort reported more total minutes and intensity of physical activity (p = 0.073). In the multivariate model, only those with a college degree or higher were 3.2 times more likely to go onto randomization. (OR = 3.2, 95% CI = 2.0, 5.6, p < 0.0001). The Fit Blue study included a higher representation of personnel who identified as African American (19.4% versus 15.0%) and Hispanic/Latino (22.7% versus 14.3%) compared with the U.S. Air Force in general; however, men were underrepresented (49.4% versus 80.0%). TABLE I.Comparisons of Demographic Characteristics of Randomized Fit Blue Cohort to Screened Non-Randomized CohortFit Blue Randomized Participants (N = 248)Non-Randomized Cohort (N = 111)All Screened Participants (N = 359)p-ValueSex N (%)0.73 Male122 (49.2)52 (46.8)174 (48.5) Female126 (50.8)59 (53.2)183 (51.5)Age Mean (±SD) years34 (±7.5)32 (±6.7)33 (±7.3)0.02Race N (%)0.89 African American49 (19.8)22 (19.8)71 (19.8) Caucasian163 (65.7)75 (67.6)238 (66.3) Other36 (14.5)14 (12.2)50 (13.9)Ethnicity N (%)0.59 Hispanic/Latino56 (22.6)28 (25.2)84 (23.4) Non-Hispanic/Latino192 (77.4)83 (74.8)275 (76.6)Education N (%)<0.0001 Less than college degree123 (49.6)82 (73.9)205 (57.1) College degree or greater125 (50.4)29 (26.1)154 (42.9)Marital status N (%)0.83 Single/never married40 (16.1)20 (18)60 (16.7) Married/living as married169 (68.1)72 (64.9)241 (67.1) Separated/divorced39 (15.7)19 (17.1)58 (16.2)Number of additional adults in household N (%)0.82 046 (18.5)22 (19.8)68 (18.9) 1162 (65.3)73 (65.8)235 (65.5) 231 (12.5)14 (12.6)45 (12.5) 3 or more9 (3.6)2 (1.8)11 (3.1)Number of children in household N (%)0.56 091 (36.7)37 (33.3)128 (35.7) 159 (23.8)23 (20.7)82 (22.8) 257 (23)26 (23.4)83 (23.1) 3 or more41 (16.5)25 (22.5)66 (18.4)Years in service mean (± SD)12 (±6.6)11 (±6.1)12 (±6.4)0.20Military gradeaN (%)0.02 E1-E434 (13.7)19 (17.1)53 (14.8) E5-E6105 (42.3)58 (52.3)163 (45.4) E7-E952 (21)21 (18.9)73 (20.3) O1-O317 (6.9)9 (8.1)26 (7.2) O4-O639 (15.7)4 (3.6)43 (12)Branch0.68 Army4 (1.6)1 (0.9)5 (1.4) Air Force234 (94.4)105 (94.6)339 (94.4) Navy8 (3.2)5 (4.5)13 (3.6) Marine Corp2 (0.8)0 (0.0)2 (0.6)BMI (m2/kg) N (%)30.6 (±2.7)30.4 (±2.9)30.6 (±2.8)BMI category N (%)0.76 Overweight115 (46.4)52 (48.1)167 (46.9) Obese133 (53.6)56 (51.9)189 (53.1)aMilitary ranking; Enlisted (E) categories: E1-E4 (enlisted), E5-E6 (non-commissioned officers), E7-E9 (senior non-commissioned officers) and two Officer categories (O): O1-O3 (Company Grade Officer) and O4-O6 (Field Grade Officer); standard deviation (SD).Table II.Comparisons of Anthropometric Characteristics of Randomized Fit Blue Cohort to Screened Non-Randomized CohortFit Blue Randomized Participants (N = 248)Non-Randomized Cohort (N = 111)All Screened Participants (N = 359)p-ValuePhysical activity Total physical activity2525 (±3218)2840 (±2541)2621 (±3028)0.027 (mean (±SD) minutes per week) Total sedentary physical activity5046 (±239)472 (±221)494 (±234)0.35 (mean (±SD) minutes per week) Vigorous physical activity34 (±145)54 (±152)40 (±147)0.036 (mean (±SD) minutes per week)Dietary intake Total sweetened beverages (kcal per day)165 (±206)152.9 (±166)160.8 (±194)0.80 Fruit and vegetable consumption (cups per day)3 (±1)3 (±1)3 (±1)0.52 Dietary fat (% total kcal)35 (±4)34 (±4)35 (±4)0.033. CONCLUSIONS: Accounting for all influencing characteristics, higher educational status was the only independent predictor of randomization. Perhaps, highly educated personnel are more invested in a military career, and thus, more concerned with consequences of failing required fitness tests. Thus, it may be important for future weight loss interventions to focus recruitment on less-educated personnel. Results suggest that weight loss interventions within a military population offer a unique opportunity to recruit a higher prevalence of males and individuals who identify as racial or ethnic minorities which are populations commonly underrepresented in weight loss research.

Recruiting young women to weight management programs: Barriers and enablers.

AIM: Recruiting young women to weight management research programs is difficult. The purpose of this study was to gain insights into the barriers and motivators that influence participation and to explore effective methods of recruitment from the perspective of young women with obesity living in both urban and regional areas. METHODS: Semi-structured interviews were used to elicit information from focus groups. The interviews were transcribed, coded and analysed qualitatively. Eight focus groups, which included a total of 27 women, were conducted. Participants had a mean age of 29.1 (±5.1) years and a mean body mass index of 35.8 (±2.9) kg/m2 . RESULTS: The barriers to participation were multifaceted and largely similar across urban and regional participants. Fear of judgement and uncertainty about the process were major psychosocial barriers. A lack of tailoring of program content was an important program-related barrier. Physical barriers such as time commitment, cost and access were discussed extensively, particularly in urban groups. The provision of incentives and the use of positive language that focusses on the benefits of the intervention were viewed positively. Physical and virtual methods of recruitment were identified as potentially effective provided they were presented in media that this group is likely to use and can access in a private location. CONCLUSIONS: The results of this study provide a greater understanding of the challenges faced by young women in relation to participation in weight management programs and some of the potential methods that could be utilised to facilitate participation.

Screening and Referral for Childhood Obesity: Adherence to the U.S. Preventive Services Task Force Recommendation.

INTRODUCTION: The U.S. Preventive Services Task Force recommends clinicians screen children aged 6 years or older for obesity and offer or refer children with obesity to intensive weight management programs. This study explores clinician awareness of weight management programs meeting the recommendation, adherence to the recommendation of screening and referral, and associations between provider and practice characteristics and weight management program referrals. METHODS: This cross-sectional study used data from the DocStyles survey 2017, a web-based panel survey, analyzed in 2017. Among 1,023 clinicians who see pediatric patients, this study examined clinician awareness of weight management programs in their communities that met the recommendation, practice of screening for childhood obesity, and referral to weight management programs. Multivariable logistic regression estimated associations between the demographic and practice characteristics of clinicians and weight management program referrals. RESULTS: Only 24.6% of surveyed clinicians were aware of a weight management program that met the U.S. Preventive Services Task Force recommendation in their community; of those aware, 88.9% referred patients to these weight management programs. Most (83.6%) clinicians screened children for obesity in ≥75% of visits. Overall, 53.5% of clinicians provided referrals to weight management programs. Referral was higher among female clinicians and clinicians serving mostly middle-income patients. Providers without teaching hospital privileges had lower odds of referral. CONCLUSIONS: Adherence to clinical recommendations is essential to curbing the childhood obesity epidemic. Only one in four surveyed clinicians were aware of weight management programs in their community meeting U.S. Preventive Services Task Force criteria. Half of clinicians referred pediatric patients with obesity to a weight management program. Results suggest efforts are needed to increase awareness of, and referral to, weight management programs meeting the recommendation.

New Medicare Diabetes Prevention Coverage May Limit Beneficiary Access and Widen Health Disparities.

BACKGROUND: The Centers for Medicare and Medicaid Services recently issued final rules for the Medicare Diabetes Prevention Program (MDPP), offering an unprecedented opportunity to provide lifestyle intervention to Medicare beneficiaries with prediabetes via a pay-for-performance model. The MDPP is based on the widely disseminated, yearlong National Diabetes Prevention Program (NDPP), which has lesser but still beneficial risk-reduction outcomes among minority and low-income participants. OBJECTIVES: We compare projected payments based on outcomes of a diverse sample of Medicare beneficiaries to service delivery costs, and explore resulting implications for MDPP access and sustainability. METHODS: We delivered NDPP in a safety-net health care system from 2013 to 2017 and conducted an analysis of service cost, beneficiary performance, and projected MDPP reimbursement. RESULTS: Among 1165 total participants, 213 (18.3%) were Medicare beneficiaries. Participating beneficiaries were 40.6% Hispanic, 31.6% non-Hispanic black, and 26.9% non-Hispanic white and 69.5% low-income. Overall beneficiary performance would result in an average reimbursement of $138.52 (interquartile range=162.50). Program delivery costs were $800 per participant, leaving an average gap of $661 per beneficiary. CONCLUSIONS: Findings from delivering the NDPP to diverse and undeserved patients show a large gap between service costs and projected reimbursement. Although many MDPP suppliers are needed to reach all Medicare beneficiaries with prediabetes, insufficient reimbursement may be a deterrent. Health disparities may also widen as suppliers serving diverse and low-income populations will likely receive especially low payments, threatening access. Higher payments are supported by strong return-on-investment findings and seem needed to reduce diabetes prevalence and related disparities.

A mixed-methods evaluation of a community pharmacy signposting service to a commercial weight-loss provider.

OBJECTIVE: Community pharmacies could provide access for clients to commercial weight management organizations. We evaluated recruitment, referral and outcomes of adults provided with free vouchers by community pharmacies to attend Scottish Slimmers classes. DESIGN: Prospective cohort design with qualitative interviews with clients and pharmacy personnel. Scottish Slimmers collected weight and attendance data. SETTING: Pharmacies in Aberdeen City, Scotland. SUBJECTS: Clients aged ≥18 years with BMI≥30 kg/m2. RESULTS: Ten of twenty-three pharmacies were recruited; eight successfully recruited clients. Of 129 clients recruited, ninety-seven (75 %) attended at least one class and fifty-one (40 %) attended all twelve classes. At baseline, clients' mean weight was 99·4 (sd 17·5) kg, mean BMI was 37·8 (sd 6·0) kg/m2. After 12 weeks, mean weight change was -3·7 % (last observation carried forward) or -2·8 % (baseline observation carried forward) for all ninety-seven clients. Client interviews indicated that many individuals would have not addressed their weight problems if this referral service had not been available. They had positive attitudes towards the pharmacy signposting service, attributed to the use of consultation rooms for privacy, receiving professional service from personnel and ongoing support and encouragement. The free provision of 12-week access facilitated participation. Service providers had positive attitudes and indicated their willingness to provide this service in future. CONCLUSIONS: Community pharmacies could be used to increase access to weight management services, with pharmacy personnel providing additional support to clients. Future provision of pharmacy referral schemes should be evaluated on a larger scale with an economic evaluation.

Postoperative outcomes in bariatric surgical patients participating in an insurance-mandated preoperative weight management program.

BACKGROUND: Many insurance companies require patient participation in a medically supervised weight management program (WMP) before offering approval for bariatric surgery. Clinical data surrounding benefits of participation are limited. OBJECTIVE: To evaluate the relationship between preoperative insurance-mandated WMP participation and postoperative outcomes in bariatric surgery patients. SETTING: Regional referral center and teaching hospital. METHODS: A retrospective review of patients who underwent vertical sleeve gastrectomy or Roux-en-Y gastric bypass between January 2014 and January 2016 was performed. Patients (N = 354) were divided into 2 cohorts and analyzed according to presence (n = 266) or absence (n = 88) of an insurance-mandated WMP requirement. Primary endpoints included rate of follow-up and percent of excess weight loss (%EWL) at postoperative months 1, 3, 6, and 12. All patients, regardless of the insurance-mandated WMP requirement, followed a program-directed preoperative diet. RESULTS: The majority of patients with an insurance-mandated WMP requirement had private insurance (63.9%). Both patient groups experienced a similar proportion of readmissions and reoperations, rate of follow-up, and %EWL at 1, 3, 6, and 12 months (P = NS). Median operative duration and hospital length of stay were also similar between groups. Linear regression analysis revealed no significant improvement in %EWL at 12 months in the yes-WMP group. CONCLUSION: These data show that patients who participate in an insurance-mandated WMP in addition to completing a program-directed preoperative diet experience no significant benefit to rate of readmission, reoperation, follow-up, or %EWL up to 12 months postoperation. Our findings suggest that undergoing bariatric surgery without completing an insurance-mandated WMP is safe and effective.

Utility values for childhood obesity interventions: a systematic review and meta-analysis of the evidence for use in economic evaluation.

Rigorous estimates of preference-based utilities are important inputs into economic evaluations of childhood obesity interventions, yet no published review currently exists examining utility by weight status in paediatric populations. A comprehensive systematic literature review and meta-analysis was therefore undertaken, pooling data on preference-based health state utilities by weight status in children using a random-effects model. Tests for heterogeneity were performed, and publication bias was assessed. Of 3,434 potentially relevant studies identified, 11 met our eligibility criteria. Estimates of Cohen's d statistic suggested a small effect of weight status on preference-based utilities. Mean utility values were estimated as 0.85 (95% uncertainty interval [UI] 0.84-0.87), 0.83 (95% UI 0.81-0.85), 0.82 (95% UI 0.79-0.84) and 0.83 (95% UI 0.80-0.86) for healthy weight, overweight, obese and overweight/obese states, respectively. Meta-analysis of studies reporting utility values for both healthy weight and overweight/obese participants found a statistically significant weighted mean difference (0.015, 95% UI 0.003-0.026). A small but statistically significant difference was also estimated between healthy weight and overweight participants (0.011, 95% UI 0.004-0.018). Study findings suggest that paediatric-specific benefits of obesity interventions may not be well reflected by available utility measures, potentially underestimating cost-effectiveness if weight loss in childhood/adolescence improves health or well-being.