Binge Eating and Weight Loss Outcomes in Individuals with Type 2 Diabetes: 4-Year Results from the Look AHEAD Study

Developing a Decision Aid for Clinical Obesity Services in the Real World: the DACOS Nationwide Pilot Study

PURPOSE

The purpose of this study is to develop a decision aid tool using "real-world" data within the Australian health system to predict weight loss after bariatric surgery and non-surgical care.

MATERIALS AND METHODS

We analyzed patient record data (aged 16+years) from initial review between 2015 and 2020 with 6-month (n=219) and 9-/12-month (n=153) follow-ups at eight clinical obesity services. Primary outcome was percentage total weight loss (%TWL) at 6 months and 9/12 months. Predictors were selected by statistical evidence (p<0.20), effect size (±2%), and clinical judgment. Multiple linear regression and bariatric surgery were used to create simple predictive models. Accuracy was measured using percentage of predictions within 5% of the observed value, and sensitivity and specificity for predicting target weight loss of 5% (non-surgical care) and 15% (bariatric surgery).

RESULTS

Observed %TWL with bariatric surgery vs. non-surgical care was 19% vs. 5% at 6 months and 22% vs. 5% at 9/12 months. Predictors at 6 months with intercept (non-surgical care) of 6% include bariatric surgery (+11%), BMI>60 (-3%), depression (-2%), anxiety (-2%), and eating disorder (-2%). Accuracy, sensitivity, and specificity were 58%, 69%, and 56%. Predictors at 9/12 months with intercept of 5% include bariatric surgery (+15%), type 2 diabetes (+5%), eating disorder (+4%), fatty liver (+2%), atrial fibrillation (-4%), osteoarthritis (-3%), sleep/mental disorders (-2-3%), and ≥10 alcohol drinks/week (-2%). Accuracy, sensitivity, and specificity were 55%, 86%, and 53%.

CONCLUSION

Clinicians may use DACOS to discuss potential weight loss predictors with patients after surgery or non-surgical care.

Binge-Spectrum Eating Disorders, Mood, and Food Insecurity in Young Adults With Obesity

BACKGROUND

Disordered eating is common but underrecognized in people with obesity and the relationship of food insecurity, mood, and binge-spectrum eating disorders has not been well addressed in samples with higher weight. Young adults are particularly vulnerable to developing disordered eating.

AIM

The purpose of this study was to compare the prevalence of food insecurity, depressive symptoms, anxiety, and loneliness among young adults (aged 18-35 years) who screened positive for binge-spectrum eating disorders (i.e., binge eating disorder and bulimia nervosa), those with subthreshold forms of these disorders, and individuals who did not screen positive for these conditions.

METHOD

This was a cross-sectional study of young adults with a self-reported body mass index ≥30 kg/m2 from the United States who were recruited online. Participants (N = 1,331; M ± SD age = 28.0 ± 3.4 years; body mass index [BMI] = 36.5 ± 6.2 kg/m2; 73.9% male; 56.3% White) completed surveys that evaluated disordered eating behaviors, food insecurity, mood, and lifestyle factors.

RESULTS

In the sample, 8.0% of participants screened positive for binge-spectrum eating disorder and 16.0% had probable subthreshold symptoms. Higher depressive symptoms (odds ratio [OR] = 1.11, 95% confidence interval [CI] = [1.03, 1.20], p = .01), perceived stress (OR = 1.13, 95% CI = [1.07, 1.19], p < .001), and food insecurity scores (OR = 1.12, 95% CI = [1.03, 1.21], p = .01) were associated with an increased likelihood of threshold binge-spectrum eating disorders.

CONCLUSION

People with disordered eating should also be evaluated for mood disorders and food insecurity and vice versa. Further research is needed to evaluate interventions that address food insecurity and mood disorders, which may help to decrease disordered eating.

What could be the reasons for not losing weight even after following a weight loss program?

INTRODUCTION

Approximately four million people worldwide die annually because of obesity. Weight loss is commonly recommended as a first-line therapy in overweight and obese patients. Although many individuals attempt to lose weight, not everyone achieves optimal success. Few studies point out that weight loss eventually slows down, stagnates or reverses in 85% of the cases.

RESEARCH QUESTION

What could be the reasons for not losing weight even after following a weight loss program?

METHODS

A scoping review of the literature was performed using weight loss-related search terms such as 'Obesity,' 'Overweight,' 'Lifestyle,' 'weight loss,' 'Basal Metabolism,' 'physical activity,' 'adherence,' 'energy balance,' 'Sleep' and 'adaptations. The search involved reference tracking and database and web searches (PUBMED, Science Direct, Elsevier, Web of Science and Google Scholar). Original articles and review papers on weight loss involving human participants and adults aged > 18 years were selected. Approximately 231 articles were reviewed, and 185 were included based on the inclusion criteria.

DESIGN

Scoping review.

RESULTS

In this review, the factors associated with not losing weight have broadly been divided into five categories. Studies highlighting each subfactor were critically reviewed and discussed. A wide degree of interindividual variability in weight loss is common in studies even after controlling for variables such as adherence, sex, physical activity and baseline weight. In addition to these variables, variations in factors such as previous weight loss attempts, sleep habits, meal timings and medications can play a crucial role in upregulating or downregulating the association between energy deficit and weight loss results.

CONCLUSION

This review identifies and clarifies the role of several factors that may hinder weight loss after the exploration of existing evidence. Judging the effectiveness of respective lifestyle interventions by simply observing the 'general behavior of the groups' is not always applicable in clinical practice. Each individual must be monitored and advised as per their requirements and challenges.

Reduction in eating disorder symptoms among adults in different weight loss interventions

Restriction of food intake and counting calories as part of weight loss programs are thought to trigger eating behaviors and attitudes which can lead to eating disorders. We have developed a treatment model, Regulation of Cues (ROC), that targets appetitive traits, including food responsiveness and satiety responsiveness, which could address overeating at an implicit level and reduce risk of detrimental behaviors and attitudes. This manuscript evaluates eating disorder symptoms, attitudes, and behaviors among adults with overweight or obesity randomized to ROC, behavioral weight loss (BWL), a combination of ROC + BWL (ROC+) and an active comparator (AC). Participants included 271 adults with a body mass index of 25 to 45, age 18 to 65 years, and a lack of comorbidities that could interfere with participation. Assessments occurred at baseline, mid-treatment (6 months), post-treatment (12-months) and 6- and 12-month follow-up. During treatment, participants in all four arms showed decreases in Eating, Weight, and Shape concerns on the Eating Disorder Examination-Questionnaire and binge eating symptoms on the Binge Eating Scale which were maintained at 6-month follow-up but increased at the 12-month follow-up. Both the ROC+ and BWL arms showed increases in Restraint during treatment which dissipated after treatment ended. This study contributes to a growing body of literature demonstrating that weight loss programs are not associated with increases in eating disorder symptoms. Future studies should evaluate interventions to maintain improvements in eating disorder symptoms following weight loss programs.

Is binge eating associated with poor weight loss outcomes in people with a high body weight? A systematic review with meta-analyses

OBJECTIVES

This systematic review aimed to compare the weight change in people with or without binge eating who underwent various weight loss treatments.

METHODS

We searched for studies in PubMed, American Psychological Association, and Embase from inception to January 2022. The studies selected included assessment of binge eating and body weight before and after weight loss treatment in people of any age. The meta-analyses were conducted using Comprehensive Meta-Analysis (CMA). We used Egger's regression test, the funnel plot, and the Trim and Fill test to assess the risk of publication bias.

RESULTS

Thirty-four studies were included in the systematic review, with a total of 10.184 participants. The included studies were divided into three categories according to types of weight loss treatments, namely, (1) bariatric surgery; (2) pharmacotherapy isolated or combined with behavioral interventions; and (3) behavioral and/or nutritional interventions. The meta-analyses showed no significant difference in weight loss between people with or without binge eating engaged in weight loss treatments, with an overall effect size of - 0.117 (95% CI - 0.405 to 0.171; P = 0.426).

CONCLUSIONS

Our findings showed no difference in weight loss in people with or without pre-treatment binge eating who received various weight loss treatments. Weight loss treatments should not be withheld on the basis that they will not be effective in people with pre-treatment binge eating, albeit their safety and longer term impacts are unclear.

LEVEL OF EVIDENCE

Level I, at least one properly designed randomized controlled trials; systematic reviews and meta-analyses; experimental studies.

The Clinical Phenotype of Binge Eating Disorder among Postmenopausal Women: A Pilot Study

Binge eating disorder (BED), a form of overnutrition, may impact healthy aging for postmenopausal women. In community samples, 12-26% of older women (ages 60+) engage in binge eating. In younger adults, BED is comorbid with physical and psychological morbidities. However, little is known regarding the clinical phenotype, including medical and psychiatric comorbidities, of BED in postmenopausal women. This pilot study sought to identify psychosomatic, cardiometabolic, body composition, and physical function characteristics of postmenopausal, older adult (age ≥60 years) women with BED. Participants (N = 21, ages 60-75) completed a battery of physical assessments and surveys assessing psychosomatic health. Overall, 62% of women reported BE onset during peri- or post-menopause. Rates of comorbid depression, anxiety, sleep problems, and a history of severe menopausal symptoms were high. Cardiometabolic health was poor, and 42.9% met the criteria for metabolic syndrome. Additionally, 71.4% met the BMI criteria for obesity, and 40% of this sample met the criteria for sarcopenic obesity. Almost half of the sample presented with at least one mobility limitation; 85.7% had poor endurance. Evidence suggests that BED is highly comorbid with other chronic health conditions and may complicate treatment of these conditions, warranting further investigation and increased attention from healthcare providers serving postmenopausal women.

Effects of weight stigma on BMI and inflammatory markers among people living with obesity

OBJECTIVE

Weight stigma (WS) and prejudice are one of the most prevalent ways of discrimination among adults, comparable with rates of racial discrimination. Exposure to WS among patients with obesity (PWO) may make the adoption of healthy dietary patterns and regular physical activity even more challenging and, therefore, the achievement of weight loss. Additionally, WS could also induce physiological responses such as increased levels of inflammatory markers, due to stress exposure.

METHOD

Subjects attending two obesity clinics were evaluated at baseline and after a minimum follow-up of six months. The weight Bias Internalization Scale (WBIS) and the Stigmatizing Situations Inventory (SSI) were administered to evaluate WS. Also, anthropometric and inflammatory markers, including cortisol, ferritin and C-reactive protein (CRP), were recorded at baseline.

RESULTS

79 PWO (87.3%♀, 45.5 ± 1.3 years, 35.9 ± 6.3 kg/m²) were included. At baseline, 72.2% started liraglutide as anti-obesity drug. Baseline body mass index (BMI) correlated positively with both WBIS (r = 0.23; p = 0.03) and SSI (r = 0.25; p = 0.02) scores. Mean percentual weight loss after a mean follow-up of six months was -7.28%. However, there was a negative, but not statistically significant, correlation between weight loss and both WBIS (r=-0.14; p = 0.2) and SSI (r=-0.19; p = 0.08). Regarding inflammatory markers, plasma cortisol levels at baseline correlated positively with WBIS (p = 0.005) and SSI (p = 0.02). CRP at baseline also presented a positive correlation with SSI (p = 0.03). No significant correlations were found for stigma tests and ferritin levels.

DISCUSSION

As weight increases among PWO, so does stigma. Despite we did not find a significant negative association between the presence of WS and weight loss outcomes, there was an increase in inflammatory markers among PWO who experienced higher levels of WS.

Adapting an online guided self-help intervention for the management of binge eating in adults with type 2 diabetes: The POSE-D study

AIMS

People with type 2 diabetes (T2D) are more likely to experience binge eating than the general population, which may interfere with their diabetes management. Guided self-help (GSH) is the recommended treatment for binge-eating disorder, but there is currently a lack of evidenced treatment for binge eating in individuals living with T2D. The aims of the current study were to adapt an existing evidence-based GSH intervention using the principles of co-design to make it available online, suitable for remote delivery to address binge eating specifically in adults living with T2D. The Working to Overcome Eating Difficulties GSH intervention comprises online GSH materials presented in seven sections delivered over 12 weeks, supported by a trained Guide.

METHODS

In order to adapt the intervention, we held four collaboration workshops with three expert patients recruited from diabetes support groups, eight healthcare professionals and an expert consensus group. We used thematic analysis to make sense of the data.

RESULTS AND CONCLUSIONS

The main themes included; keeping the GSH material generic, adapting Sam the central character, tailoring the dietary advice and eating diary. The length of Guidance sessions was increased to 60 min, and Guide training was focussed around working with people with diabetes.

Mindful eating for weight loss in women with obesity: a randomised controlled trial

Mindful eating (ME) has been linked to improvement in binge eating disorder, but this approach in obesity management has shown conflicting results. Our aim was to assess the effect of ME associated with moderate energy restriction (MER) on weight loss in women with obesity. Metabolic parameters, dietary assessment, eating behaviour, depression, anxiety and stress were also evaluated. A total of 138 women with obesity were randomly assigned to three intervention groups: ME associated with MER (ME + MER), MER and ME, and they were followed up monthly for 6 months. ME + MER joined seven monthly mindfulness-based intervention group sessions each lasting 90 min and received an individualised food plan with MER (deficit of 2092 kJ/d - 500 kcal/d). MER received an individualised food plan with MER (deficit of 2092 kJ/d - 500 kcal/d), and ME joined seven monthly mindfulness-based intervention group sessions each lasting 90 min. Seventy patients completed the intervention. Weight loss was significant, but no statistically significant difference was found between the groups. There was a greater reduction in uncontrolled eating in the ME group than in the MER group and a greater reduction in emotional eating in the ME group than in both the MER and the ME + MER groups. No statistically significant differences were found in the other variables evaluated between groups. The association between ME with energy restriction did not promote greater weight loss than ME or MER.

SHORT TERM EFFECTS OF SEMAGLUTIDE ON EMOTIONAL EATING AND OTHER ABNORMAL EATING PATTERNS AMONG SUBJECTS LIVING WITH OBESITY

OBJECTIVE

Emotional eating (EE) and other abnormal eating patterns are highly prevalent among people living with obesity (PWO). In this sense, semaglutide, by acting on areas of the brain involved in the reward system and emotion regulation, could have the potential to ameliorate these eating patterns.

METHOD

69 PWO attending an obesity clinic were evaluated baseline and after 3 months since the beginning of semaglutide. To rule out abnormal EE, the Emotional Eating Questionnaire was administered, and a structured interview was conducted.

RESULTS

69 PWO (82.6%♀, 43.7±1years, and 34.3±6kg/m 2) were included. After 3 months of semaglutide, there was a significant reduction in weight (96.1±20.9 vs 91.3±19.7kg; p<0.001) and BMI (34.3±6 vs 32.4±5.6kg/m 2; p<0.0001). The proportion of patients with EE (72.5% vs 11.5%; p<0.001), external eating (27.5% vs 10.1%; p<0.001) cravings (49.3% vs 21.7%; p<0.001) and savory cravings (53.6% vs 14.5%; p<0.001) was significantly reduced after 3 months of semaglutide. Also, the proportion of PWO with regular exercise was increased (15.9% vs 39.1%; p<0.001). However, Logistic regression analysis showed that only sweet cravings at baseline were the only factor associated, although not significant, with a poorer weight loss (p=0.05).

DISCUSSION

Semaglutide is an effective weight-loss treatment in PWO at short term. Moreover, semaglutide was highly effective in ameliorating EE and other abnormal eating patterns that exert a negative influence on weight.

Efficacy of the holistic, psychonutritional approach of Centro DAI e Obesità di Città della Pieve in the management of type 2 diabetes among patients with obesity and dysfunctional eating

Purpose

Dysfunctional eating is strongly associated with obesity and worsens type 2 diabetes (T2DM) outcomes. The aim of this study was to investigate the effectiveness of the psycho-nutritional treatment (PNT) of “Centro DAI e Obesità” of Città della Pieve on weight loss and glucose management in dysfunctional eaters with obesity and T2DM.

Methods

PNT includes psychotherapeutical, nutritional, physical and social activities. Subjects with obesity, T2DM and dysfunctional eating habits who completed the 8 weeks residential program between 2010 and 2019 were compared with obese, T2DM, dysfunctional eaters who underwent to a conventional, hospital-based, nutritional treatment (CT). Anthropometric variables, glucolipid panel, and body composition were assessed at baseline and at the end of the program. Weight and HbA1c were also measured after one year from the completion.

Results

Sixty-nine patients completed the PNT and reduced weight (−7 ± 3.2%; p < 0.001), BMI (−7 ± 3.1%; p < 0.001), and triglycerides, AST, GGT and ALT (p ≤ 0.008); glycemic control improved (HbA1c: −1.1 ± 1.5%, mean fasting glucose: −41 ± 46 mg/dl, p < 0.001). Eleven% of subjects requiring diabetes medications at baseline discontinued the therapy. In the insulin treated group (49%), mean daily units were halved (−32.6 ± 26.0, p < 0.001). At one year, weight loss (−6 ± 7.4%, p < 0.001) and HbA1c reduction (−0.52 ± 1.4%, p = 0.029) persisted. Fifty-five patients completed the CT: HbA1c reduced (p = 0.02), but weight (−0.6 ± 3.7%), BMI (−0.7 ± 3.8%), and insulin units’ reduction (−2.5 ± 11.7, p = 0.20) were lower compared to the PNT.

Conclusion

PNT is effective in improving T2DM management in patients with obesity and dysfunctional eating.

Loss-of-Control Eating and Cardiometabolic Health in Relation to Overweight and Obesity

PURPOSE OF REVIEW

Loss-of-control (LOC) eating, the subjective feeling of being unable to control what or how much is being consumed, is common. The purpose of this review was to examine the relationships among LOC eating, cardiometabolic health, and weight management intervention outcomes.

RECENT FINDINGS

In youth and adults, LOC eating is associated with and predictive of psychological symptoms, high weight, and worsened cardiometabolic health. While LOC eating pre-intervention does not appear to impact outcomes, LOC eating during or following is associated with worsened outcomes from behavioral and surgical weight management interventions. When individuals are undergoing weight management interventions, it may be important to regularly assess for LOC eating. There is limited research on the examined relationships in diverse populations (e.g., males, individuals of a lower socio-economic status, racial/ethnic minority groups). Future research should examine these relationships across the lifespan in diverse populations, with a focus on how these relationships can be impacted through targeted interventions.

Association of childhood abuse with behavioral weight-loss outcomes: Examining the mediating effect of binge eating severity

OBJECTIVE

The study aims were to (1) document the relationship between a history of childhood abuse and weight change during behavioral obesity treatment and (2) estimate the indirect effect of childhood abuse on weight change through binge eating severity.

METHODS

Participants (n = 431) were enrolled in a behavioral weight-loss intervention. Childhood physical and emotional abuse history and current binge eating severity were self-reported. Percent weight loss at 6 months was calculated using measured weight. Adjusted mediation models examined whether there was an indirect effect of childhood physical and emotional abuse on 6-month percent weight loss that operated through binge eating severity.

RESULTS

After covariate adjustment, childhood physical abuse, but not emotional abuse, predicted a lower percent weight loss (B = -1.78%; 95% CI: -3.10% to -0.47%). Although childhood physical and emotional abuse were positively related to baseline binge eating severity, binge eating severity did not mediate the associations between either childhood abuse type and percent weight loss.

CONCLUSIONS

Individuals with a childhood physical abuse history had a lower percent weight loss than those without such histories during behavioral obesity treatment. This effect was not explained by binge eating severity. Individuals with a history of childhood abuse may benefit from trauma-informed obesity care.

Eating expectancies and reinforcement learning: a state-based test of affect regulation and expectancy models in the natural environment

PURPOSE

Affect regulation and expectancy-based models suggest that improvement in affect following binge-eating (BE) episodes contributes to increased eating expectancies, which then promote BE maintenance.

METHODS

The current pilot study utilized ecological momentary assessment to examine the prospective independent and interactive effects of eating reinforcement experiences [operationalized as reductions in negative affect (NA) following BE episodes] and eating expectancies on subsequent BE behavior among 17 women with recurrent BE.

RESULTS

Greater reductions in momentary NA following a BE episode (i.e., greater reinforcement) predicted higher levels of eating expectancies on the following day. Further, current eating expectancies interacted with proximal reinforcement history to predict future BE episodes. Participants were more likely to report BE episodes on days that were characterized by higher eating expectancies and preceded immediately by a day during which they experienced greater reinforcement from BE.

CONCLUSION

These preliminary results are consistent with affect regulation and expectancy-based models of BE, suggesting a dynamic and potentially modifiable process of reward-based learning associated with BE behavior.

LEVEL OF EVIDENCE

Level IV, multiple time series.

Randomized Controlled Trial of Behavioral Weight Loss and Stepped Care for Binge-Eating Disorder: 12-Month Follow-up

OBJECTIVE

This study aimed to examine longer-term effects of behavioral weight loss (BWL) and Stepped Care for binge-eating disorder and obesity through 12-month follow-up after completing treatments.

METHODS

A total of 191 patients with binge-eating disorder/obesity were randomized to 6 months of BWL (n = 39) or Stepped Care (n = 152). Within Stepped Care, patients began BWL (1 month), treatment responders continued BWL, nonresponders switched to cognitive behavioral therapy, and all were randomized (double-blind) to weight-loss medication or placebo (5 months). Patients were independently assessed throughout/after treatment and at 6- and 12-month follow-ups.

RESULTS

Intent-to-treat analyses of remission rates revealed that BWL and Stepped Care did not differ significantly at posttreatment (74.4% vs. 66.5%), 6-month follow-up (38.2% vs. 33.3%), or 12-month follow-up (44.7% vs. 41.0%). Mixed models of binge-eating frequency indicated significant reductions through posttreatment but no significant changes or differences between BWL and Stepped Care during follow-up. Mixed models revealed significant weight loss with no differences between BWL and Stepped Care (5.1% vs. 5.8%) at posttreatment and significant time effects (larger percent weight loss at 6-month than at 12-month follow-up) with no differences between BWL and Stepped Care (-5.1% vs. -5.2% and -3.4% vs. -5.0%, respectively).

CONCLUSIONS

Binge-eating improvements and weight loss produced by BWL and adaptive Stepped Care did not differ significantly 12 months after completing treatments.

Four main barriers to weight loss maintenance? A quantitative analysis of difficulties experienced by obese patients after successful weight reduction

BACKGROUND

Weight maintenance remains to be a challenge for patients in a reduced obese state and it has been recommended to provide them more individualized support. For this purpose it is crucial to understand the barriers patients are experiencing after weight loss. Many have been identified by qualitative studies. We evaluated if a quantitative assessment of patient perspective during weight maintenance can help identify major barriers that refer to actual regain.

METHODS

Follow-up data were analyzed from patients attempting weight maintenances after successful completion of a nonsurgical weight loss and lifestyle intervention for morbid obesity. The data were acquired at mandatory follow-up assessments and included rating of 26 probable difficulties. A principal component analysis was carried out to explore whether these difficulties could be grouped into meaningful factors. Associations with socio-demographics, follow-up time, and weight changes were evaluated.

RESULTS

Data from 88 out of 102 patients were available (baseline BMI 49.5 ± 7.4 kg/m²; 12-month weight loss 24.3 ± 9.6%; follow-up time 1.48 ± 0.6 years). Four solid factors, composed of 21 items and explaining 56% of the variance were extracted and interpreted as 'Hedonic Hunger', 'Mental Distress', 'Binge Eating', and 'Demoralization'. Weight regain (12.4 ± 12%) was correlated with each factor, most closely with 'Mental Distress' (r = 0.38). When controlling for age and follow-up time, 'Binge Eating' was the most important predictor (adj. R² = 0.297).

CONCLUSIONS

A quantitative assessment of patient perspective during the first years after weight loss can help identify valid barriers to weight loss maintenance.

Binge Eating Disorder in Patients with Type 2 Diabetes: Diagnostic and Management Challenges

Type 2 diabetes mellitus (T2DM) is associated with an increased risk of disordered eating behaviors including binge eating disorder (BED). Comorbid BED in patients with T2DM has been associated with adverse clinical outcomes such as higher body mass index (BMI) and depressive symptoms. Identifying and addressing this disorder in patients with T2DM is a significant challenge for health-care providers. The purpose of this narrative review is to discuss current perspectives on BED in the context of T2DM with implications for screening and management of these highly comorbid conditions. BED continues to be underrecognized and underdiagnosed. However, there are established tools that providers can use to screen for BED such as the SCOFF Questionnaire and Questionnaire on Eating and Weight Patterns-5. There are several effective treatments for BED including cognitive behavioral therapy, interpersonal therapy, and lisdexamfetamine dimesylate. However, few studies have examined the effects of these treatments in patients with co-morbid T2DM and BED.

Eating behaviors and weight loss outcomes in a 12-month randomized trial of diet and/or exercise intervention in postmenopausal women

Background

Certain eating behaviors are common among women with obesity. Whether these behaviors influence outcomes in weight loss programs, and whether such programs affect eating behaviors, is unclear.

Methods

Our aim was to examine the effect of baseline eating behaviors on intervention adherence and weight among postmenopausal women with overweight or obesity, and to assess intervention effects on eating behaviors.

Four hundred and 39 women (BMI ≥25 kg/m²) were randomized to 12 months of: i) dietary weight loss with a 10% weight loss goal (‘diet’; n = 118); ii) moderate-to-vigorous intensity aerobic exercise for 225 mins/week (‘exercise’; n = 117); iii) combined dietary weight loss and exercise (‘diet + exercise’; n = 117); or iv) no-lifestyle change control (n = 87). At baseline and 12 months, restrained eating, uncontrolled eating, emotional eating and binge eating were measured by questionnaire; weight and body composition were assessed. The mean change in eating behavior scores and weight between baseline and 12 months in the diet, exercise, and diet + exercise arms were each compared to controls using the generalized estimating equation (GEE) modification of linear regression adjusted for age, baseline BMI, and race/ethnicity.

Results

Baseline restrained eating was positively associated with change in total calories and calories from fat during the dietary intervention but not with other measures of adherence. Higher baseline restrained eating was associated with greater 12-month reductions in weight, waist circumference, body fat and lean mass. Women randomized to dietary intervention had significant reductions in binge eating (− 23.7%, p = 0.005 vs. control), uncontrolled eating (− 24.3%, p < 0.001 vs. control), and emotional eating (− 31.7%, p < 0.001 vs. control) scores, and a significant increase in restrained eating (+ 60.6%, p < 0.001 vs. control); women randomized to diet + exercise reported less uncontrolled eating (− 26.0%, p < 0.001 vs. control) and emotional eating (− 22.0%, p = 0.004 vs. control), and increased restrained eating (+ 41.4%, p < 0.001 vs. control). Women randomized to exercise alone had no significant change in eating behavior scores compared to controls.

Conclusions

A dietary weight loss intervention helped women modify eating behaviors. Future research should investigate optimal behavioral weight loss interventions for women with both disordered eating and obesity.

Trial registration

NCT00470119 (https://clinicaltrials.gov). Retrospectively registered May 7, 2007.

Examining race as a predictor and moderator of treatment outcomes for binge-eating disorder: Analysis of aggregated randomized controlled trials

OBJECTIVE

To examine whether race predicted or moderated response to treatments for binge-eating disorder (BED).

METHOD

Participants were 592 adults (n = 113 Black; n = 479 White) with DSM-IV-defined BED who participated in randomized controlled trials (RCTs) at 1 medical center. Data were aggregated from RCTs for BED testing cognitive-behavioral therapy, behavioral weight loss, multimodal treatment, and/or control conditions. Participants had weight and height measured and were assessed using established interviews and self-report measures at baseline, throughout treatment, and post treatment.

RESULTS

Race did not significantly moderate treatment outcomes. Mixed models revealed a main effect of race: Black participants had fewer binge-eating episodes and lower depression than White participants across time points. Race also had a main effect in generalized estimating equations with a significantly greater proportion of Black participants achieving binge-eating remission than White participants. Race did not predict percent weight loss, but a significantly lower proportion of Black participants attained 5% weight loss than White participants. Race did not significantly predict global eating-disorder severity.

CONCLUSION

Despite disparities in treatment-seeking reported in epidemiological and RCT studies, Black individuals appear to have comparable or better treatment outcomes in BED treatment research compared with White individuals, except they were less likely to attain 5% weight loss at post treatment. This suggests that disseminating evidence-based treatments for BED among diverse populations holds promise and treatments may not require further adaptation prior to dissemination. Implementation research is needed to test treatment effectiveness across diverse providers, settings, and patient groups to improve understanding of potential predictors and moderators. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

Identification of Binge Eating Disorder Criteria: Results of a National Survey of Healthcare Providers

PURPOSE

To determine whether general healthcare providers and adult psychiatrists recognized binge eating disorder (BED) symptoms and features. The aims were to examine how they delineated the core criteria of BED-eating a large amount of food and sense of loss of control over eating-and how their evaluations compared to ratings by BED experts.

DESIGN

This is a cross-sectional study of a nationwide U.S. sample of healthcare providers and a convenience sample of BED experts.

METHODS

Providers were mailed surveys that asked respondents about their perceptions of a large amount of food and whether they thought case vignettes met thresholds for loss of control. Participants were also asked to select BED diagnostic criteria from a symptom list. Results were analyzed using one-way analyses of variance with post-hoc comparisons and chi-squared tests.

FINDINGS

The survey was completed by 405 healthcare providers (response rate of 28.4%). Ratings of a large amount of food did not differ between BED experts and general healthcare providers (p = .10) or psychiatrists (p = .90). Provider groups did not differ significantly on whether five of the six vignettes met thresholds for loss of control (p > .05). Of the respondents, 93.0% of general healthcare providers and 88.6% of psychiatrists could not correctly identify the diagnostic criteria for BED.

CONCLUSIONS

Across provider groups, demarcation of a large amount of food and loss of control over eating were relatively consistent. However, general healthcare providers and psychiatrists were not able to correctly identify BED symptoms.

CLINICAL RELEVANCE

Training and education are greatly needed to improve knowledge of the diagnostic criteria for BED.

Guided self-help to manage binge eating in a dietetic-led community weight management service

An estimated 30% of patients accessing community weight management services experience symptoms of binge eating disorder (BED). Guided self-help (GSH) is the recommended first line of treatment for BED. This study is a preliminary investigation into the effectiveness of GSH delivered by dietitians for patients with binge eating within a weight management service and a consideration of the association between wellbeing, therapeutic relationship and outcomes. The study was conducted as a single group, pre- and post-intervention study with 24 patients reporting symptoms of binge eating who completed the self-help manual with guidance from a trained community dietitian. Primary outcomes were eating disorder psychopathology and behaviours (Eating Disorder Evaluation Questionnaire), depression and anxiety. Principle results showed a significant reduction on all subscales of eating disorder psychopathology, anxiety and depression. There was a reduction in loss of control over eating but the 40% reduction in binge episodes was not statistically significant. Mid-treatment sessional ratings were positively associated with outcome. In conclusion, the GSH intervention was appropriate for dietitian delivery to patients with obesity and binge eating behaviour. This research indicates potential for other dietetic-led weight management services to deliver such interventions and support patients with binge eating accessing their service.

Binge eating disorder and night eating syndrome in adults with type 2 diabetes: a systematic review

BACKGROUND

Type 2 diabetes (T2DM) is increasing in prevalence worldwide, and is closely linked to obesity. Binge Eating Disorder (BED) and Night Eating Syndrome (NES) are eating disorders that are common in obesity, and may affect the management as well as long term outcomes of T2DM. Therefore, the aim of this review was to assess the prevalence and associations of BED or NES in adults with T2DM.

METHODS

We conducted a systematic review. The databases MEDLINE, CINAHL and AMED were searched for articles which met the inclusion criteria; including patients > 18 years old, with T2DM, and BED and/or NES. The reference lists of included studies were also searched. Meta-analysis was not attempted due to the limited number of studies that measured the outcomes of interest.

RESULTS

A total of 10 studies (2 included NES) were included in this systematic review. The number screened for BED and NES were 6527 and 1039 participants, respectively. Point prevalence was 1.2-8.0% for BED and 3.8-8.4% for NES. Patients with T2DM and BED had higher BMI than patients with T2DM without BED in the two studies that reported BMI. There was no statistically significant difference in HbA1c between patients with and without BED in the two studies that measured HbA1c.

CONCLUSIONS

BED and NES are common in adults with T2DM, and BED is associated with higher BMI in patients with T2DM. However, only two studies reported important outcomes measures such as BMI and HbA1c in patients with T2DM. Hence, further well-designed studies are needed to assess the impact of BED and NES in patients with T2DM. Health Care Professionals should consider the diagnosis of BED and NES in patients with T2DM.