Differences in weight-loss outcomes among race-gender subgroups by behavioural intervention delivery mode: An analysis of the POWER trial.

Prior in-person behavioural intervention studies have documented differential weight loss between men and women and by race, with Black women receiving the least benefit. Remotely delivered interventions are now commonplace, but few studies have compared outcomes by race-gender groups and delivery modality. We conducted a secondary analysis of POWER, a randomized trial (NCT00783315) designed to determine the effectiveness of 2 active, lifestyle-based, weight loss interventions (remote vs. in-person) compared to a control group. Participants with obesity and at least one cardiovascular disease risk factor (N = 415) were recruited in the Baltimore, MD area. Data from 233 white and 170 Black individuals were used for this analysis. Following an intention-to-treat approach, we compared the mean percent weight loss at 24 months by race-gender subgroups using repeated-measures, mixed-effects models. Everyone lost weight in the active interventions however, weight loss differed by race and gender. white and Black men had similar results for both interventions (white: in-person (-7.6%) remote (-7.4%); Black: in-person (-4.7%) remote (-4.4%)). In contrast, white women lost more weight with the in-person intervention (in-person (-7.2%) compared to the remote (-4.4%)), whereas Black women lost less weight in the in-person group compared to the remote intervention at 24 months (-2.0% vs. -3.0%, respectively; p for interaction <.001). We found differences between the effectiveness of the 2 weight loss interventions-in-person or remote-in white and Black women at 24 months. Future studies should consider intervention modality when designing weight loss interventions for women.

Associations between sleep health and obesity and weight change in adults: The Daily24 Multisite Cohort Study.

OBJECTIVES: To examine cross-sectional and longitudinal associations of individual sleep domains and multidimensional sleep health with current overweight or obesity and 5-year weight change in adults. METHODS: We estimated sleep regularity, quality, timing, onset latency, sleep interruptions, duration, and napping using validated questionnaires. We calculated multidimensional sleep health using a composite score (total number of "good" sleep health indicators) and sleep phenotypes derived from latent class analysis. Logistic regression was used to examine associations between sleep and overweight or obesity. Multinomial regression was used to examine associations between sleep and weight change (gain, loss, or maintenance) over a median of 1.66 years. RESULTS: The sample included 1016 participants with a median age of 52 (IQR = 37-65), who primarily identified as female (78%), White (79%), and college-educated (74%). We identified 3 phenotypes: good, moderate, and poor sleep. More regularity of sleep, sleep quality, and shorter sleep onset latency were associated with 37%, 38%, and 45% lower odds of overweight or obesity, respectively. The addition of each good sleep health dimension was associated with 16% lower adjusted odds of having overweight or obesity. The adjusted odds of overweight or obesity were similar between sleep phenotypes. Sleep, individual or multidimensional sleep health, was not associated with weight change. CONCLUSIONS: Multidimensional sleep health showed cross-sectional, but not longitudinal, associations with overweight or obesity. Future research should advance our understanding of how to assess multidimensional sleep health to understand the relationship between all aspects of sleep health and weight over time.

Adverse childhood experiences and sleep links in a predominantly Black sample of overweight adults.

Adverse childhood experiences (ACEs) have been associated with worse sleep, but existing literature is limited by use of predominantly White samples, lack of objective sleep measurement, and use of non-standardized questionnaires. We investigated associations between retrospectively reported ACEs and sleep in adulthood in a sample of 43 adults 20-53 years of age, free from chronic conditions, with a Body mass index (BMI) ≥ 25 (Mean age = 33.14 [SD = 10.05], 74% female, 54% Black). Sleep efficiency (SE), total sleep time (TST), wake after sleep onset (WASO), and sleep onset latency (SOL), were measured by actigraphy and daily diary. Global sleep quality and insomnia severity were measured by questionnaires. Sleepiness, fatigue, and sleep quality were also measured by daily diary. Adjusting for demographic characteristics and BMI, ACEs were significantly associated with poorer global sleep quality and diary measures of greater daytime sleepiness, fatigue, and poorer sleep quality. There were no significant associations between ACEs and SE, TST, WASO, or SOL measured by diary or actigraphy. Findings suggest that ACEs are associated with worse sleep perception and daytime functioning in adulthood. Larger prospective studies are needed to replicate these findings, examine racial/ethnic differences, and determine temporal associations between ACEs, sleep, and health (e.g., BMI).

Preoperative Depression Status and 5 Year Metabolic and Bariatric Surgery Outcomes in the PCORnet Bariatric Study Cohort.

OBJECTIVE: To examine whether depression status before metabolic and bariatric surgery (MBS) influenced 5-year weight loss, diabetes, and safety/utilization outcomes in the PCORnet Bariatric Study. SUMMARY OF BACKGROUND DATA: Research on the impact of depression on MBS outcomes is inconsistent with few large, long-term studies. METHODS: Data were extracted from 23 health systems on 36,871 patients who underwent sleeve gastrectomy (SG; n=16,158) or gastric bypass (RYGB; n=20,713) from 2005-2015. Patients with and without a depression diagnosis in the year before MBS were evaluated for % total weight loss (%TWL), diabetes outcomes, and postsurgical safety/utilization (reoperations, revisions, endoscopy, hospitalizations, mortality) at 1, 3, and 5 years after MBS. RESULTS: 27.1% of SG and 33.0% of RYGB patients had preoperative depression, and they had more medical and psychiatric comorbidities than those without depression. At 5 years of follow-up, those with depression, versus those without depression, had slightly less %TWL after RYGB, but not after SG (between group difference = 0.42%TWL, P = 0.04). However, patients with depression had slightly larger HbA1c improvements after RYGB but not after SG (between group difference = - 0.19, P = 0.04). Baseline depression did not moderate diabetes remission or relapse, reoperations, revision, or mortality across operations; however, baseline depression did moderate the risk of endoscopy and repeat hospitalization across RYGB versus SG. CONCLUSIONS: Patients with depression undergoing RYGB and SG had similar weight loss, diabetes, and safety/utilization outcomes to those without depression. The effects of depression were clinically small compared to the choice of operation.

Electronic Health Record-Based Recruitment and Retention and Mobile Health App Usage: Multisite Cohort Study.

BACKGROUND: To address the obesity epidemic, there is a need for novel paradigms, including those that address the timing of eating and sleep in relation to circadian rhythms. Electronic health records (EHRs) are an efficient way to identify potentially eligible participants for health research studies. Mobile health (mHealth) apps offer available and convenient data collection of health behaviors, such as timing of eating and sleep. OBJECTIVE: The aim of this descriptive analysis was to report on recruitment, retention, and app use from a 6-month cohort study using a mobile app called Daily24. METHODS: Using an EHR query, adult patients from three health care systems in the PaTH clinical research network were identified as potentially eligible, invited electronically to participate, and instructed to download and use the Daily24 mobile app, which focuses on eating and sleep timing. Online surveys were completed at baseline and 4 months. We described app use and identified predictors of app use, defined as 1 or more days of use, versus nonuse and usage categories (ie, immediate, consistent, and sustained) using multivariate regression analyses. RESULTS: Of 70,661 patients who were sent research invitations, 1021 (1.44%) completed electronic consent forms and online baseline surveys; 4 withdrew, leaving a total of 1017 participants in the analytic sample. A total of 53.79% (n=547) of the participants were app users and, of those, 75.3% (n=412), 50.1% (n=274), and 25.4% (n=139) were immediate, consistent, and sustained users, respectively. Median app use was 28 (IQR 7-75) days over 6 months. Younger age, White race, higher educational level, higher income, having no children younger than 18 years, and having used 1 to 5 health apps significantly predicted app use (vs nonuse) in adjusted models. Older age and lower BMI predicted early, consistent, and sustained use. About half (532/1017, 52.31%) of the participants completed the 4-month online surveys. A total of 33.5% (183/547), 29.3% (157/536), and 27.1% (143/527) of app users were still using the app for at least 2 days per month during months 4, 5, and 6 of the study, respectively. CONCLUSIONS: EHR recruitment offers an efficient (ie, high reach, low touch, and minimal participant burden) approach to recruiting participants from health care settings into mHealth research. Efforts to recruit and retain less engaged subgroups are needed to collect more generalizable data. Additionally, future app iterations should include more evidence-based features to increase participant use.

Night eating, weight, and health behaviors in adults participating in the Daily24 study.

BACKGROUND: Night eating syndrome (NES) is associated with adverse health outcomes. This study evaluated the relationship between night eating severity, weight, and health behaviors. METHODS: Participants (N = 1017; 77.6% female, mean Body Mass Index (BMI) = 30.5, SD = 7.8 kg/m2, age = 51.1, SD = 15.0 years) were recruited from three health systems. Participants completed the Night Eating Questionnaire (NEQ) and questionnaires assessing sleep, chronotype, physical activity, diet, weight, and napping. RESULTS: In the overall sample, higher NEQ scores were associated with higher BMI (p < .001) and consumption of sugar-sweetened beverages (p < .001), as well as lower fruit/vegetable consumption (p = .001). Higher NEQ scores were associated with increased odds of having overweight/obesity (p < .001), eating fast food (p < .001), moderate-vigorous physical activity (p = .005), and smoking (p = .004). Participants who exceeded the screening threshold for NES (n = 48, 4.7%) reported elevated BMI (p = .014), an increased likelihood of overweight/obesity (p = .004), greater sugar-sweetened beverages consumption (p < .001), napping less than twice per week (p = .029), shorter sleep duration (p = .012), and a later chronotype (M = 4:55, SD = 2:45). CONCLUSION: Night eating severity was associated with obesity and intake of fast food and sugar-sweetened beverages. Interventions to address night eating and associated behaviors may enhance the efficacy of weight management interventions and promote engagement in positive health behaviors.

Psychotropic Medications in Metabolic and Bariatric Surgery: Research Updates and Clinical Considerations.

PURPOSE OF REVIEW: We review evidence for assessing and monitoring psychotropic medications in metabolic and bariatric surgery (MBS) patients. We describe weight gain side effects, potential perioperative risks, pharmacokinetic changes that occur after MBS, and conclude with clinical recommendations. RECENT FINDINGS: Research on psychiatric medication use and post-MBS weight outcomes is lacking and inconsistent; however, there is consistent evidence that, though variable, psychiatric medication use is associated with weight gain. Several meta-analyses and reviews provide guidance on lowering risk when appropriate. Perioperative lithium toxicity and SSRI discontinuation syndrome also warrant consideration, as do potential post-operative pharmacokinetic changes. In the absence of data for each psychiatric drug classification, close symptom monitoring and, where appropriate, serum concentration monitoring are recommended. MBS patients are a psychiatrically vulnerable population, and many are on psychiatric medications. Given potential weight/metabolic side effects, perioperative complications, and post-operative pharmacokinetic changes that occur with psychotropic medication use, providers should stay well informed on psychiatric medication management considerations.

Restriction of range effects in post-metabolic and bariatric surgery outcomes research: considerations for clinical decision making.

BACKGROUND: Preoperative psychopathology does not consistently predict postoperative outcomes in patients who undergo metabolic and bariatric surgery (MBS). Individuals with elevated pre-MBS psychopathology may be less likely to undergo surgery, which may create a floor effect given the limited range of scores on measures of psychopathology included in postoperative analyses, thereby decreasing the power to detect clinically significant differences between groups. OBJECTIVES: Our objective was to compare rates of clinically significant pre-MBS psychopathology across domains of functioning in patients who did and did not undergo MBS: surgical completers (SCs, n = 286) and nonsurgical completers (NSCs, n = 125). SETTING: Academic medical center, United States. METHODS: Participants (n = 411) were a racially diverse sample of MBS candidates who completed a preoperative psychosocial evaluation including measures of disordered eating, alcohol and tobacco use, pain catastrophizing, anxiety, and depressive symptomatology. RESULTS: Compared with SCs, NSCs had larger scale score variance on measures of psychopathology and were more likely to be Black; to report clinically significant scores on measures of binge eating, depression, anxiety, and pain catastrophizing; and to use tobacco. CONCLUSION: Results support the presence of a restriction-of-range effect but do not demonstrate a floor effect. These data suggest that current outcome data for MBS patients may not generalize to those who report clinically significant psychopathology at the pre-MBS psychosocial evaluation and may warrant caution when using the current literature to inform clinical decision making for this group. Findings also suggest a need for interventions that will better engage Black patients.

Healthy for Two/Healthy for You: Design and methods for a pragmatic randomized clinical trial to limit gestational weight gain and prevent obesity in the prenatal care setting.

OBJECTIVE: To compare the effect of Healthy for Two/Healthy for You (H42/H4U), a health coaching program, in prenatal care clinics that serve a racially and economically diverse population, on total gestational weight gain (GWG) (vs. usual care). We hypothesize that compared to usual prenatal care, intervention participants will have lower GWG and lower rates of gestational diabetes mellitus (GDM). METHODS: We report the rationale and design of a pragmatic, parallel arm randomized clinical trial with 380 pregnant patients ≤15 weeks gestation with overweight or obesity from one of 6 academic and community-based obstetrics practices, randomized to either H42/H4U or usual prenatal care in a 1:1 ratio. The study duration is early pregnancy to 6 months postpartum. The primary outcome is total GWG, calculated as the difference between first clinic-assessed pregnancy weight and the weight at 37 weeks gestation. Key maternal and infant secondary outcomes include GDM incidence, weight retention at 6 months postpartum, infant weight, maternal health behaviors and wellness. CONCLUSIONS: This pragmatic clinical trial embeds a pregnancy health coaching program into prenatal care to allow parallel testing compared to usual prenatal care on the outcome of total GWG. The real-world design provides an approach to enhance its sustainability beyond the trial to ultimately improve maternal/child health outcomes and reduce future obesity. TRIAL REGISTRATION: The study was first registered at clinicaltrials.gov on 1/26/21 (NCT04724330).

Development of a Mobile App for Ecological Momentary Assessment of Circadian Data: Design Considerations and Usability Testing.

BACKGROUND: Collecting data on daily habits across a population of individuals is challenging. Mobile-based circadian ecological momentary assessment (cEMA) is a powerful frame for observing the impact of daily living on long-term health. OBJECTIVE: In this paper, we (1) describe the design, testing, and rationale for specifications of a mobile-based cEMA app to collect timing of eating and sleeping data and (2) compare cEMA and survey data collected as part of a 6-month observational cohort study. The ultimate goal of this paper is to summarize our experience and lessons learned with the Daily24 mobile app and to highlight the pros and cons of this data collection modality. METHODS: Design specifications for the Daily24 app were drafted by the study team based on the research questions and target audience for the cohort study. The associated backend was optimized to provide real-time data to the study team for participant monitoring and engagement. An external 8-member advisory board was consulted throughout the development process, and additional test users recruited as part of a qualitative study provided feedback through in-depth interviews. RESULTS: After ≥4 days of at-home use, 37 qualitative study participants provided feedback on the app. The app generally received positive feedback from test users for being fast and easy to use. Test users identified several bugs and areas where modifications were necessary to in-app text and instructions and also provided feedback on the engagement strategy. Data collected through the mobile app captured more variability in eating windows than data collected through a one-time survey, though at a significant cost. CONCLUSIONS: Researchers should consider the potential uses of a mobile app beyond the initial data collection when deciding whether the time and monetary expenditure are advisable for their situation and goals.

Discharge Body Mass Index, Not Illness Chronicity, Predicts 6-Month Weight Outcome in Patients Hospitalized With Anorexia Nervosa.

Proposed treatments for severe and enduring anorexia nervosa (SE-AN) focus on quality of life, and psychological and social functioning. By de-emphasizing weight restoration as a priority, however, premature diagnosis of SE-AN may reduce potential for recovery. The present study assessed the effect of weight restoration, illness duration, and severity on treatment outcome 6 months after discharge from an intensive, meal-based behavioral treatment program. Participants included hospitalized adult women (N = 191) with AN or underweight other specified feeding and eating disorder (OSFED). Participants were characterized as short-term (ill <7 years; n = 74) or long-term ill (ill ≥ 7 years; n = 117). Compared with short-term ill, long-term ill patients were older, had lower lifetime body mass index (BMI), more prior admissions, and exhibited greater depression and neuroticism. Long-term vs. short-term ill patients gained weight at the same rate (~2 kg/wk) and were equally likely to be weight restored by discharge (>75% reached BMI ≥ 19 kg/m2 in both groups). At 6-month follow-up (n = 99), both groups had equivalent self-reported BMI, and depression, drive for thinness, body dissatisfaction, and bulimia scores. The only predictor of BMI ≥ 19 kg/m2 at follow-up was discharge BMI. The likelihood of a BMI ≥ 19 kg/m2 at follow-up was 5-fold higher for those with discharge BMI ≥ 19 kg/m2. Few studies of long-term ill inpatients with AN have examined the impact of full weight restoration on short-term outcomes. This study supports the therapeutically optimistic stance that, regardless of illness duration, hospitalized patients with AN benefit from gaining weight to a BMI ≥ 19 kg/m2.

What influences the "when" of eating and sleeping?A qualitative interview study.

Timing of eating relative to sleep and endogenous circadian rhythm impacts weight and cardiometabolic health. We used qualitative methods to explore what influences the "when" of eating and sleeping. We conducted 37 one-on-one semi-structured interviews among participants with a body mass index (BMI) ≥ 25 kg/m2 recruited from three internal medicine clinics affiliated with an urban academic hospital. Participants (70.3% Female; 51.4% White; Age range: 21-83 years old) completed measures of social jetlag, physical activity, eating habits, and mobile application use and participated in interviews following a guide developed by the study team. Responses were recorded, transcribed and coded sequentially by two trained researchers using editing-style analysis to identify themes. We identified two main themes, each with subthemes: 1) influences on the "when" of eating and sleeping, with subthemes including social jetlag and being overscheduled, and 2) contextualizing beliefs and perceptions about the "when" of eating and sleeping, with subthemes including perceived recommendations for timing of eating and sleeping, and alignment of behaviors with perceived recommendations. Many participants noted being more flexible in their eating and sleeping times on work-free vs work days. The themes this study identified should be considered when designing interventions that influence the timing of eating and sleeping for weight management.

Sleep disturbance and insomnia in individuals seeking bariatric surgery.

BACKGROUND: Sleep disturbance is well established in individuals with obesity, and the relationship between poor sleep and obesity is supported by population, longitudinal, experimental, and intervention studies. However, the prevalence and characteristics of poor sleep in individuals seeking bariatric surgery have thus far been poorly examined. OBJECTIVES: We sought to characterize self-reported sleep parameters in individuals seeking bariatric surgery and to compare these data with controls. SETTING: Two Academic Medical Centers, United States, and an online survey of healthy controls. METHOD: Individuals seeking bariatric surgery (n = 427) completed presurgical psychological evaluations at 2 comprehensive bariatric surgery programs. Data on medical co-morbidities and from self-report questionnaires on sleep quality, insomnia, anxiety, and depression were abstracted from charts. Data from controls (n = 180) were collected using an online survey tool and compared with bariatric cases. RESULTS: Across study sites, 40.4% of bariatric cases took at least 30 minutes to fall asleep, 46.7% had insufficient total sleep time (<6.5 hr), 65.1% reported general poor sleep quality, and 30.8% reported clinically significant insomnia symptoms. Approximately 20% of the variance in poor sleep quality and insomnia was explained by body mass index, obstructive sleep apnea, anxiety, and depression. Cases and controls were similar, although bariatric cases reported significantly poorer sleep efficiency. CONCLUSIONS: Our results suggest that similar to a control population, the majority of patients seeking bariatric surgery are experiencing sleep difficulties. Presurgical assessment and treatment of sleep problems may be beneficial to patients and may help improve weight loss treatment outcomes. Optimally, assessment would include 1 of the 2 self-report questionnaires used herein, and treatment would involve Cognitive Behavioral Therapy for Insomnia. Future research assessing sleep patterns with objective measurement tools and evaluating the impact of sleep on postsurgical outcomes is warranted.

The Moderate Alcohol and Cardiovascular Health Trial (MACH15): Design and methods for a randomized trial of moderate alcohol consumption and cardiometabolic risk.

BACKGROUND: Observational studies have documented lower risks of coronary heart disease and diabetes among moderate alcohol consumers relative to abstainers, but only a randomized clinical trial can provide conclusive evidence for or against these associations. AIM: The purpose of this study was to describe the rationale and design of the Moderate Alcohol and Cardiovascular Health Trial, aimed to assess the cardiometabolic effects of one alcoholic drink daily over an average of six years among adults 50 years or older. METHODS: This multicenter, parallel-arm randomized trial was designed to compare the effects of one standard serving (∼11-15 g) daily of a preferred alcoholic beverage to abstention. The trial aimed to enroll 7800 people at high risk of cardiovascular disease. The primary composite endpoint comprised time to the first occurrence of non-fatal myocardial infarction, non-fatal ischemic stroke, hospitalized angina, coronary/carotid revascularization, or total mortality. The trial was designed to provide >80% power to detect a 15% reduction in the risk of the primary outcome. Secondary outcomes included diabetes. Adverse effects of special interest included injuries, congestive heart failure, alcohol use disorders, and cancer. RESULTS: We describe the design, governance, masking issues, and data handling. In three months of field center activity until termination by the funder, the trial randomized 32 participants, successfully screened another 70, and identified ∼400 additional interested individuals. CONCLUSIONS: We describe a feasible design for a long-term randomized trial of moderate alcohol consumption. Such a study will provide the highest level of evidence for the effects of moderate alcohol consumption on cardiovascular disease and diabetes, and will directly inform clinical and public health guidelines.

Perspectives of pregnant and postpartum women and obstetric providers to promote healthy lifestyle in pregnancy and after delivery: a qualitative in-depth interview study.

BACKGROUND: Pregnancy provides an opportunity to promote healthy lifestyle behaviors. This study's aim was to explore the perspectives of pregnant and postpartum women and obstetric providers around behavioral lifestyle changes in pregnancy and postpartum. METHODS: We conducted a qualitative study with pregnant and postpartum patients recruited from 2 prenatal care clinics at an urban, academic hospital in the United States. In-depth interviews with 23 pregnant or postpartum women and 11 obstetric providers were completed between October 2015-April 2016. Interviews were audio-recorded and transcribed verbatim. We coded transcripts for thematic content and applied the PRECEDE-PROCEED framework for results to directly inform program development. RESULTS: Six themes highlighted the predisposing, enabling and reinforcing factors that enable and sustain health behavior changes in pregnancy and postpartum: 1) "Motivation to have a healthy baby" during pregnancy and to "have my body back" after delivery, 2) Pre-pregnancy knowledge and experiences about pregnancy and the postpartum period, 3) Prioritizing wellness during pregnancy and postpartum, 4) The power of social support, 5) Accountability, 6) Integration with technology to reinforce behavior change. CONCLUSIONS: In this qualitative study, pregnant and postpartum women and obstetric providers described themes that are aimed at encouraging lifestyle changes to promote healthy weight gain in pregnancy and can directly inform the development of a behavioral weight management intervention for pregnant and postpartum women that is patient-centered and tailored to their needs.

The Effects of a Remote-based Weight Loss Program on Adipocytokines, Metabolic Markers, and Telomere Length in Breast Cancer Survivors: the POWER-Remote Trial.

PURPOSE: We initiated a clinical trial to determine the proportion of breast cancer survivors achieving ≥5% weight loss using a remotely delivered weight loss intervention (POWER-remote) or a self-directed approach, and to determine the effects of the intervention on biomarkers of cancer risk including metabolism, inflammation, and telomere length. EXPERIMENTAL DESIGN: Women with stage 0-III breast cancer, who completed local therapy and chemotherapy, with a body mass index ≥25 kg/m2 were randomized to a 12-month intervention (POWER-remote) versus a self-directed approach. The primary objective was to determine the number of women who achieved at least 5% weight loss at 6 months. We assessed baseline and 6-month change in a panel of adipocytokines (adiponectin, leptin, resistin, HGF, NGF, PAI1, TNFα, MCP1, IL1ß, IL6, and IL8), metabolic factors (insulin, glucose, lipids, hs-CRP), and telomere length in peripheral blood mononuclear cells. RESULTS: From 2013 to 2015, 96 women were enrolled, and 87 were evaluable for the primary analysis; 45 to POWER-remote and 42 to self-directed. At 6 months, 51% of women randomized to POWER-remote lost ≥5% of their baseline body weight, compared with 12% in the self-directed arm [OR, 7.9; 95% confidence interval (CI), 2.6-23.9; P = 0.0003]; proportion were similar at 12 months (51% vs 17%, respectively, P = 0.003). Weight loss correlated with significant decreases in leptin, and favorable modulation of inflammatory cytokines and lipid profiles. There was no significant change in telomere length at 6 months. CONCLUSIONS: A remotely delivered weight loss intervention resulted in significant weight loss in breast cancer survivors, and favorable effects on several biomarkers.

Cost of behavioral weight loss programs implemented in clinical practice: The POWER trial at Johns Hopkins.

Obesity presents an important public health problem that affects more than a third of the U.S. adult population and that is associated with increased morbidity, mortality, and costs. Previously, we documented that two primary care-based weight loss interventions were clinically effective. To encourage the implementation of and reimbursement for these interventions, we evaluated their relative cost-effectiveness. We performed a cost analysis of the Practice-based Opportunities for Weight Reduction (POWER) trial, a three-arm trial that enrolled 415 patients with obesity from six primary care practices. Trial participants were randomized to a control arm, an in-person support intervention, or a remote support intervention; in the two intervention arms, behavioral interventions were delivered over 24 months, in two phases. Weight loss was measured at 6, 12, and 24 months. Using timesheets and empirical data, we evaluated the cost of the in-person and remote support interventions from the perspective of a health care system delivering the interventions. A univariate sensitivity analysis was conducted to evaluate uncertainty around model assumptions. All comparisons were tested using independent t-tests. Cost of the in-person intervention was higher at 6 months ($113 per participant per month and $117 per kg lost) than the remote support intervention ($101 per participant per month and $99 per kg lost; p < .001). Costs were also higher for the in-person support intervention at 24 months ($73 per participant per month and $342 per kg lost) than for the remote support intervention ($53 per participant per month and $275 per kg lost; p < .001). In the sensitivity analyses, cost ranged from $274/kg lost to $456/kg lost for the in-person support intervention and from $218/kg to $367/kg lost for the remote support intervention. A primary care weight loss intervention administered remotely was relatively more cost-effective than an in-person intervention. Expanding the scope of reimbursable programs to include other cost-effective interventions could help ensure that a broader range of patients receive the type of support needed.

A modified inpatient eating disorders treatment protocol for postbariatric surgery patients: patient characteristics and treatment response.

BACKGROUND: Bariatric surgery is currently the most effective treatment for obesity. However, outcomes vary and disordered eating may persist or emerge postsurgically. Severe postsurgical eating disorders may require inpatient treatment, and guidelines for the modification of inpatient nutritional treatment protocols for this population are lacking. OBJECTIVES: This paper describes a modified inpatient nutritional protocol for postsurgical patients with eating disorders treated on a behavioral eating disorders unit, and reports patient characteristics and treatment response. SETTINGS: This research was conducted at a university hospital. METHODS: Cases (n = 19) comprised 2% of all eating disorder admissions; 5 were underweight and required weight restoration. Clinical data collected via chart review included disordered eating behaviors, medical and psychiatric co-morbidity, and treatment course. RESULTS: All cases were status post Roux-en-Y gastric bypass (median 5 yr postsurgery). Onset of disordered eating preceded surgery in the majority, and intentional vomiting was the most commonly reported postsurgical disordered eating behavior. The sample was notable for a high level of psychiatric and medical co-morbidity. Patients responded well to the modified treatment protocols, with a majority of patients on the weight gain (60%) and weight maintenance (78%) post-bariatric surgery protocols discharged for clinical improvement. CONCLUSIONS: Postsurgical bariatric patients with eating disorders can be successfully treated on a specialized eating disorders unit. Modification of inpatient eating disorder protocols for those who have undergone bariatric surgery is necessary to address the different physiologic needs of this patient population while providing them with effective psychiatric care.

Weight gain trajectories in hospital-based treatment of anorexia nervosa.

Weight gain is a primary treatment goal for anorexia nervosa (AN); however little is known about heterogeneity in weight gain pattern during treatment. Preliminary evidence suggests weight gain trajectory is associated with treatment outcome. This study grouped patients using mixture modeling into weight gain trajectories, and compared predictors and treatment outcomes between trajectory groups. Women diagnosed with AN or subthreshold AN (N = 211) completed self-report measures at admission and six-months after discharge from an integrated inpatient (IP)-partial hospitalization (PH) behavioral specialty eating disorders program. Gowned weights were measured daily. Three distinct trajectories emerged: negative quadratic (Optimal), negative quadratic with fast weight gain (Fast), and positive linear with slower weight gain (Slow). The majority of patients were assigned to the Optimal group. Trajectory groups differed on admission, discharge, and follow-up variables. The Fast group emerged as most distinct. Women in this group were more than twice as likely to binge and or vomit regularly compared with the other two groups and were most likely to achieve weight restoration by discharge and to have more positive weight outcomes at short-term follow-up. There were no group differences in eating disorder behavioral frequencies at follow-up when adjusting for behavioral severity at admission. Weight gain trajectory may serve as a personalized in-treatment marker of outcome and could inform research on moderators and mediators of treatment response. Randomized controlled treatment studies, utilizing weight gain trajectories to determine group membership, may help identify subgroups of patients with differential responses to treatment interventions.