Behavioral weight loss treatment for adults with binge-eating disorder: A qualitative analysis of patients' perspectives and experiences.

OBJECTIVE: Understanding the perspectives of behavioral weight loss (BWL) participants could inform whether, how, and for whom BWL should be offered. METHOD: All 126 participants in a clinical trial of BWL for adults with binge-eating disorder (BED) and overweight/obesity were contacted about a qualitative study. 45 participants, 11 of whom had dropped out of the parent study, completed qualitative interviews. The interview guide was developed using data from a survey of providers who offer Health at Every Size and other weight-neutral lifestyle interventions. Questions were phrased to invite even the most negative responses. Questions focused on participants' experiences of weight stigma during treatment, perceptions of BWL's calorie and WL goals, and opinions of BWL and weight-neutral interventions. RESULTS: We identified four themes using thematic analysis: (1) BWL did not perpetuate weight stigma. (2) Calorie and WL goals did not exacerbate participants' binge eating. (3) Patients should have the right to pursue any treatment that aligns with their personal goals. (4) BWL can improve participants' overall health. DISCUSSION: BWL participants with BED and overweight/obesity want others to have access to a program that can reduce both weight and binge eating. Participants emphasized that no treatment works for everyone, and they all agreed that BWL had not perpetuated weight stigma. Fewer than 20% of participants considered the program's calorie and WL goals to be harmful; most participants viewed those goals as achievable and helpful, and many asserted that their participation in BWL had improved their overall health. PUBLIC SIGNIFICANCE: We interviewed adults with binge-eating disorder and overweight/obesity who had participated in a behavioral weight loss (BWL) program. Our participants wanted others in their position to have access to BWL because it aims to reduce both weight and binge-eating frequency. Efforts should be made to provide patients, clinicians, and policymakers with the knowledge that supervised, evidence-based BWL is an effective and desired treatment choice for this population.

Does hopelessness predict treatment outcomes in adults with binge-spectrum eating disorders?

Using data from 165 adult participants who enrolled in four studies of cognitive-behavioral therapy (CBT) for binge-spectrum eating disorders (EDs), this secondary analysis examined 1) whether pretreatment hopelessness predicted posttreatment eating pathology, loss-of-control (LOC) eating frequency, and purging frequency; 2) whether treatment had an indirect effect on those outcomes through change in hopelessness; and 3) whether treatment had an indirect effect on hopelessness through those ED measures. The Eating Disorder Examination was used to assess overall eating pathology, LOC frequency, and purging frequency. Hopelessness was measured with one item from the Beck Depression Inventory-II. Regression models showed that pretreatment hopelessness predicted posttreatment LOC eating frequency but not overall eating pathology or purging frequency. Single-group tests of indirect effects showed no effect of reduction in hopelessness on reduction in ED symptoms, but there was an effect of reduction in ED symptoms on reduction in hopelessness.

Relations between forms of dietary restraint, restriction, and loss-of-control eating among adolescents seeking weight control: An ecological momentary assessment study.

OBJECTIVE: This study aimed to: 1) compare rates of dietary restraint and restriction between adolescents with and without loss-of-control (LOC) eating who were seeking weight control and 2) examine temporal relations between restraint/restriction and LOC eating. METHOD: 37 adolescents seeking weight control (mean age: 15.4 ± 1.5; 62 % White; 57 % female; mean BMI percentile = 97.3 ± 3.1) completed a one-week ecological momentary assessment protocol and reported on dietary restraint/restriction and eating behavior prior to beginning a weight control intervention. Chi-square tests examined differences in frequency of restraint/restriction between participants with and without LOC eating. Multilevel models examined associations between dietary restraint/restriction and LOC eating at the next survey and on the next day. RESULTS: Of 37 participants, 15 (41 %) reported engaging in LOC eating. Participants with LOC eating more frequently endorsed several forms of restraint and restriction versus participants without LOC eating. Attempting to avoid enjoyable foods and attempting to limit eating at one survey predicted greater likelihood of LOC eating at the next survey. CONCLUSIONS: Findings suggest that attempted restraint, but not actual restriction, was associated with LOC eating. Research should explore additional factors that may influence these relationships, which could inform weight control treatments that address restraint/restriction.

Affective profiles of exercise episodes are associated with maladaptive and adaptive motivations for exercise.

OBJECTIVE: Maladaptive exercise (i.e., driven and/or compensatory exercise) is common in binge-spectrum eating disorders (EDs; e.g., bulimia nervosa, binge ED) and associated with adverse treatment outcomes. Alternatively, individuals with EDs are often also engaging in adaptive exercise (e.g., for enjoyment or health improvement), and increasing adaptive exercise may decrease ED symptoms. The current study aimed to understand which exercise episodes are likely to be maladaptive/adaptive so that interventions can appropriately decrease/increase maladaptive and adaptive exercise. METHOD: We used latent profile analysis (LPA) to identify pre-exercise affective profiles of 661 exercise episodes among 84 individuals with binge-spectrum EDs and examined associations between LPA-identified profiles and subsequent exercise motivations using ecological momentary assessment. RESULTS: A two-profile solution best fit our data: Profile 1 (n = 174), 'positive affectivity,' and Profile 2 (n = 487), 'negative affectivity.' Episodes in the 'negative affectivity' profile were more likely to be endorsed as both driven and intended to influence body shape/weight. Episodes in the 'positive affectivity' profile were more likely to be endorsed as exercising for enjoyment. CONCLUSIONS: Results support two phenotypes of exercise episodes, and differential associations of these phenotypes with adaptive and maladaptive motivations for exercise.

Food Insecurity and Diet Quality Among Adults on Medicaid With and Without a Mental Illness Diagnosis.

BACKGROUND: Adults with mental illnesses are more likely to have low income and diet-related chronic diseases. OBJECTIVE: This study examined associations of mental illness diagnosis status with food insecurity and diet quality and whether the relationship between food security status and diet quality differed by mental illness diagnosis status in adult Medicaid beneficiaries. DESIGN: This was a secondary cross-sectional analysis of baseline (2019-2020) data collected as part of the LiveWell study, a longitudinal study evaluating a Medicaid food and housing program. PARTICIPANTS/SETTING: Participants were 846 adult Medicaid beneficiaries from an eastern Massachusetts health system. MAIN OUTCOME MEASURES: Food security was measured with the 10-item US Adult Food Security survey module (0 = high food security, 1-2 = marginal food security, 3-10 = low/very low food security). Mental illness diagnoses included health record-documented anxiety, depression, or serious mental illness (eg, schizophrenia, bipolar disorder). Healthy Eating Index (HEI-2015) scores were calculated from 24-hour dietary recalls. STATISTICAL ANALYSES: Multivariable regression analyses adjusted for demographics, income, and survey date. RESULTS: Participants' mean (standard deviation) age was 43.1 (11.3) years, and 75% were female, 54% Hispanic, 33% non-Hispanic White, and 9% non-Hispanic Black. Fewer than half (43%) of participants reported high food security, with almost one third (32%) reporting low or very low food security. The 341 (40%) participants with one or more mental illness diagnosis had greater odds of low/very low food security (adjusted odds ratio [OR], 1.94; 95% confidence interval [CI], 1.38-2.70) and had similar mean HEI-2015 scores (53.1 vs 56.0; P = 0.12) compared with participants with no mental illness diagnosis. Mean adjusted HEI-2015 scores did not significantly differ by high vs low/very low food security for those without a mental illness diagnosis (57.9 vs 54.9; P = 0.052) or those with a mental illness diagnosis (53.0 vs 52.9; P = 0.99). CONCLUSION: In a cohort of adults with Medicaid, those with mental illness diagnoses had higher odds of experiencing food insecurity. Overall, diet quality among adults in this sample was low but did not differ by mental illness diagnosis or food security status. These results highlight the importance of augmenting efforts to improve both food security and diet quality among all Medicaid participants.

A food bank program to help food pantries improve healthy food choices: mixed methods evaluation of The Greater Boston Food Bank's Healthy Pantry Program.

BACKGROUND: The Greater Boston Food Bank's (GBFB) Healthy Pantry Program (HPP) is an online training that teaches food pantry staff to implement behavioral nudges (e.g., traffic-light nutrition labels, choice architecture) to promote healthier client choices. This study assessed if HPP was associated with healthier food bank orders by food pantries and identified implementation facilitators and barriers. METHODS: This mixed methods study collected quantitative data from a matched cohort of 10 HPP food pantries and 99 matched control food pantries in eastern Massachusetts that allow clients to choose their own food, and qualitative data from structured individual interviews with 8 HPP pantry staff. A difference-in-differences analysis compared changes in percentage of pantries' food bank orders (by weight) of foods labeled green/yellow (healthier choices) and fresh produce from baseline to 6 and 10 months between HPP and control pantries. Interviews were coded for implementation facilitators and barriers. RESULTS: Before starting HPP, green-yellow ordering was 92.0% (SD 4.9) in control and 87.4% (SD 5.4) in HPP pantries. Participation in HPP was not associated with changes in green-yellow or fresh produce ordering at 6 or 10 months. HPP implementation facilitators included HPP training being accessible (sub-themes: customizable, motivating) and compatible with client-choice values. Barriers included resource limitations (sub-themes: staff shortage, limited space) and concerns about stigmatizing client food choices with use of labels for unhealthy foods. CONCLUSIONS: An online program to help pantries promote healthier client choices was not associated with changes in how much healthy food pantries ordered from the food bank, suggesting it did not substantially change client choices. Implementation challenges and high baseline healthy ordering may have influenced HPP's effectiveness.

Social Determinants of Health and Hypertension Control in Adults with Medicaid.

BACKGROUND: Social determinants of health (SDOH) are associated with cardiovascular disease, but little is known about mechanisms underlying those relationships. We hypothesized that SDOH would be associated with uncontrolled hypertension (HTN) in adults with Medicaid. METHODS: This was a retrospective analysis of adults in a Medicaid accountable care organization who had HTN diagnoses, received regular care at community health centers, and enrolled in a cohort study between December 2019 and December 2020. Baseline surveys collected demographics and SDOH, including food insecurity, unstable housing, cost-related medication underuse, and financial stress. Blood pressure (BP) measurements over 12 months after survey completion were obtained from the electronic health record. Participants were categorized as: uncontrolled HTN (mean systolic BP ≥ 140 mm Hg and/or mean diastolic BP ≥ 90 mm Hg), controlled HTN, or unknown HTN control (no BP documented). We examined the association of individual and cumulative (count, 0-4) SDOH with uncontrolled HTN and unknown HTN control using multivariable logistic regression adjusting for demographics, smoking, diabetes, and HTN medication. RESULTS: Participants (n = 245) were mean (SD) age 51.3 (8.6) years, 66.1% female, 43.7% Hispanic, 34.3% White, and 18.0% Black. Overall, 58.0% had food insecurity, 38.0% had unstable housing, 29.4% had financial stress, and 20.0% reported cost-related medication underuse. BP was documented for 180 participants; 44 (24.4%) had uncontrolled HTN. In multivariable models, neither individual nor cumulative SDOH were associated with uncontrolled HTN or unknown HTN control. CONCLUSIONS: In a Medicaid-insured population receiving care at community health centers, adverse SDOH were prevalent but were not associated with HTN control.

Association of Employees' Meal Skipping Patterns with Workplace Food Purchases, Dietary Quality, and Cardiometabolic Risk: A Secondary Analysis from the ChooseWell 365 Trial.

BACKGROUND: Employed adults may skip meals due to time or financial constraints, challenging work schedules, or limited workplace food choices. Little is known about the relationship between employees' meal skipping patterns and workplace dietary choices and health. OBJECTIVE: To examine whether hospital employees' meal skipping patterns were associated with workplace food purchases, dietary quality, and cardiometabolic risk factors (ie, obesity, hypertension, and prediabetes/diabetes). DESIGN: This is a secondary cross-sectional analysis of baseline data from the ChooseWell 365 randomized controlled trial. Employees reported meal-skipping frequency in a baseline survey. The healthfulness of workplace food purchases was determined with a validated Healthy Purchasing Score (HPS) (range = 0 to 100 where higher scores = healthier purchases) calculated using sales data for participants' purchases in the 3 months before study enrollment. Dietary quality was measured with the 2015 Healthy Eating Index (range = 0 to 100 where higher score = healthier diet) from two 24-hour recalls. Cardiometabolic risk factors were ascertained from clinic measurements. PARTICIPANTS/SETTING: Participants were 602 hospital employees who regularly visited workplace cafeterias and enrolled in ChooseWell 365, a workplace health promotion study in Boston, MA, during 2016-2018. MAIN OUTCOME MEASURES: Primary outcomes were HPS, 2015 Healthy Eating Index, and cardiometabolic risk factors. STATISTICAL ANALYSES: Regression analyses examined differences in HPS, 2015 Healthy Eating Index, and cardiometabolic variables by meal skipping frequency, adjusting for demographic characteristics. RESULTS: Participants' mean (standard deviation) age was 43.6 (12.2) years and 478 (79%) were women. Overall, 45.8% skipped breakfast, 36.2% skipped lunch, and 24.9% skipped dinner ≥ 1 day/week. Employees who skipped breakfast ≥ 3 days/week (n = 102) had lower HPS (65.1 vs 70.4; P < 0.01) and 2015 Healthy Eating Index score (55.9 vs 62.8; P < 0.001) compared with those who never skipped. Skipping lunch ≥ 3 days/week and dinner ≥ 1 day/week were associated with significantly lower HPS compared with never skipping. Employees who worked nonstandard shifts skipped more meals than those who worked standard shifts. Meal skipping was not associated with obesity or other cardiometabolic variables. CONCLUSIONS: Skipping meals was associated with less healthy food purchases at work, and skipping breakfast was associated with lower dietary quality. Future research to understand employees' reasons for skipping meals may inform how employers could support healthier dietary intake at work.