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Recognizing disordered eating in primary care patients with obesity.

ABSTRACT: In clinical practice, behavioral approaches to obesity treatment focus heavily on diet and exercise recommendations. However, these approaches may not be effective for patients with disordered eating behaviors. Little is known about the prevalence of disordered eating behaviors in primary care patients with obesity or whether they affect difficulty making dietary changes.We conducted a telephone interview of 337 primary care patients aged 18-65 years with BMI ? 35 kg/m(2) in Greater Boston, 2009-2011 (58% response rate, 69% women). We administered the Three-Factor Eating Questionnaire R-18 (scores 0-100) and the Impact of Weight on Quality of Life-Lite (IWQOL-Lite) (scores 0-100). We measured difficulty making dietary changes using four questions regarding perceived difficulty changing diet (Scores 0-10).50% of the patients reported high emotional eating (score>50) and 28% reported high uncontrolled eating (score>50). Women were more likely to report emotional [OR=4.14 (2.90, 5.92)] and uncontrolled eating [OR=2.11 (1.44, 3.08)] than men. African-Americans were less likely than Caucasians to report emotional [OR=0.29 (95% CI: 0.19, 0.44)] and uncontrolled eating [OR=0.11 (0.07, 0.19)]. For every 10-point reduction in QOL score (IWQOL-lite), emotional and uncontrolled eating scores rose significantly by 7.82 and 5.48, respectively. Furthermore, participants who reported emotional and uncontrolled eating reported greater difficulty making dietary changes.Disordered eating behaviors are prevalent among obese primary care patients and disproportionately affect women, Caucasians, and patients with poor QOL. These eating behaviors may impair patients' ability to make clinically recommended dietary changes. Clinicians should consider screening for disordered eating behaviors and tailoring obesity treatment accordingly.

SUBMITTER: Chacko SA

PROVIDER: S-EPMC4514027 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature

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Recognizing disordered eating in primary care patients with obesity.

Chacko Sara A SA Chiodi Sarah N SN Wee Christina C CC

Preventive medicine 20150105

<h4>Objective</h4>In clinical practice, behavioral approaches to obesity treatment focus heavily on diet and exercise recommendations. However, these approaches may not be effective for patients with disordered eating behaviors. Little is known about the prevalence of disordered eating behaviors in primary care patients with obesity or whether they affect difficulty making dietary changes.<h4>Methods</h4>We conducted a telephone interview of 337 primary care patients aged 18-65 years with BMI ≥ ...[more]

PMID: 25572624

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Project description:INTRODUCTION:Little is known about the applicability of mindfulness-based interventions in Spanish adults with overweight/obesity. The objective of the present study protocol is to describe the methods that will be used in a cluster randomised trial (CRT) that aims to evaluate the effectiveness of a mindfulness eating (ME) programme to reduce emotional eating (EE) in adults with overweight/obesity in primary care (PC) settings. METHODS AND ANALYSIS:A CRT will be conducted with approximately 76 adults with overweight/obesity from four PC health centres (clusters) in the city of Zaragoza, Spain. Health centres matched to the average per capita income of the assigned population will be randomly allocated into two groups: 'ME +treatment as usual (TAU)' and 'TAU alone'. The ME programme will be composed of seven sessions delivered by a clinical psychologist, and TAU will be offered by general practitioners. The primary outcome will be EE measured by the Dutch Eating Behaviour Questionnaire (DEBQ) at post test as primary endpoint. Other outcomes will be external and restrained eating (DEBQ), binge eating (Bulimic Investigatory Test Edinburgh), eating disorder (Eating Attitude Test), anxiety (General Anxiety Disorder-7), depression (Patient Health Questionnaire-9), mindful eating (Mindful Eating Scale), dispositional mindfulness (Five Facet Mindfulness Questionnaire) and self-compassion (Self-Compassion Scale). Anthropometric measures, vital signs and blood tests will be taken. A primary intention-to-treat analysis on EE will be conducted using linear mixed models. Supplementary analyses will include secondary outcomes and 1-year follow-up measures; adjusted models controlling for sex, weight status and levels of anxiety and depression; the complier average causal effect of treatment; and the clinical significance of improvements. ETHICS AND DISSEMINATION:Positive results of this study may have a significant impact on one of the most important current health-related problems. Approval was obtained from the Ethics Committee of the Regional Authority. The results will be submitted to peer-reviewed journals, and reports will be sent to participants. TRIAL REGISTRATION NUMBER:NCT03927534 (5/2019).

Project description:IntroductionBinge eating disorder (BED) is a psychiatric illness related to a high frequency of episodes of binge eating, loss of control, body image dissatisfaction, and suffering caused by overeating. It is estimated that 30% of patients with BED are affected by obesity. "Mindful eating" (ME) is a promising new eating technique that can improve self-control and good food choices, helping to increase awareness about the triggers of binge eating episodes and intuitive eating training.ObjectivesTo analyze the impact of ME on episodes of binge eating, body image dissatisfaction, quality of life, eating habits, and anthropometric data [weight, Body Mass Index (BMI), and waist circumference] in patients with obesity and BED.MethodThis quantitative, prospective, longitudinal, and experimental study recruited 82 patients diagnosed with obesity and BED. The intervention was divided into eight individual weekly meetings, guided by ME sessions, nutritional educational dynamics, cooking workshops, food sensory analyses, and applications of questionnaires [Body Shape Questionnaire (BSQ); Binge Eating Scale (BES); Quality of Life Scale (WHOQOL-BREF)]. There was no dietary prescription for calories, carbohydrates, proteins, fats, and fiber. Patients were only encouraged to consume fewer ultra-processed foods and more natural and minimally processed foods. The meetings occurred from October to November 2023.Statistical analysisTo carry out inferential statistics, the Shapiro-Wilk test was used to verify the normality of variable distribution. All variables were identified as non-normal distribution and were compared between the first and the eighth week using a two-tailed Wilcoxon test. Non-Gaussian data were represented by median ± interquartile range (IQR). Additionally, α < 0.05 and p < 0.05 were adopted.ResultsSignificant reductions were found from the first to the eighth week for weight, BMI, waist circumference, episodes of binge eating, BSQ scale score, BES score, and total energy value (all p < 0.0001). In contrast, there was a significant increase in the WHOQOL-BREF score and daily water intake (p < 0.0001).ConclusionsME improved anthropometric data, episodes of binge eating, body image dissatisfaction, eating habits, and quality of life in participants with obesity and BED in the short-term. However, an extension of the project will be necessary to analyze the impact of the intervention in the long-term.

Project description:PurposeEvidence suggests that difficulties identifying and describing one's feelings, core components of alexithymia, are associated with attitudinal and behavioral symptoms of disordered eating; depressive symptoms also may underlie these associations. Specifically, research indicates that alexithymia is positively related to depressive symptoms, which in turn may promote both disordered-eating attitudes and certain disinhibited-eating behaviors (e.g., emotional eating). Findings also suggest that military-dependent youth with high weight may exhibit elevated depressive symptoms and disordered eating. As such, understanding associations among alexithymia, depressive symptoms, and disordered eating is particularly relevant for this vulnerable population.MethodsWe examined 149 adolescent military dependents (14.4 ± 1.6y; 55.0% female; 20.0% non-Hispanic Black; BMIz: 1.9 ± 0.4) at high risk for binge-eating disorder and obesity in adulthood. Participants completed questionnaires assessing two components of alexithymia (difficulty identifying feelings [DIF] and difficulty describing feelings [DDF]), depressive symptoms, emotional eating, and trait anxiety; disordered-eating attitudes were assessed via semi-structured interview.ResultsA series of regression-based models examined indirect relationships of DIF and DDF with disordered-eating attitudes and emotional eating through depressive symptoms. Bootstrapped 95% confidence intervals revealed a significant indirect path from each of the alexithymia components to disordered-eating attitudes via depressive symptoms; indirect paths to emotional eating were non-significant.ConclusionResults support the salience of depressive symptoms in the relationship between alexithymia and disordered-eating attitudes. Future research should utilize prospective designs and explore direct and indirect associations of alexithymia with other disordered-eating behaviors.Level of evidenceLevel III, evidence obtained from a well-designed cohort study.

Project description:ImportanceAmong individuals with obesity, 5% or greater weight loss can improve health. Weight management treatments (WMT) include nutrition counseling, very low-calorie meal replacement (MR), antiobesity medications (AOM), and bariatric surgery; however, little is known about how these WMT are associated with weight change among individual patients and populations.ObjectiveTo characterize weight status and WMT use among primary care patients and assess associations between WMT and weight trajectories.Design, setting, and participantsRetrospective, population-based cohort study of primary care patients from 1 academic health system in Michigan between October 2015 and March 2020 using cross-sectional analysis to compare obesity prevalence and WMT utilization. For patients with obesity and WMT exposure or matched controls, a multistate Markov model assessing associations between WMT and longitudinal weight status trajectories was used. Data were analyzed from October 2021 to October 2023.ExposuresCross-sectional exposure was year: 2017 or 2019. Trajectory analysis exposures were WMT: nutrition counseling, MR, AOM, and bariatric surgery.Main outcomes and measuresCross-sectional analysis compared mean body mass index (BMI), obesity prevalence, and, among patients with obesity, prospective WMT use. The trajectory analysis examined longitudinal weight status using thresholds of ±5% and 10% of baseline weight with primary outcomes being the 1-year probabilities of 5% or greater weight loss for each WMT.ResultsAdult patients (146 959 participants) consisted of 83 636 female participants (56.9%); 8940 (6.1%) were Asian, 14 560 (9.9%) were Black, and 116 664 (79.4%) were White. Patients had a mean (SD) age of 49.6 (17.7) years and mean (SD) BMI of 29.2 (7.2). Among 138 682 patients, prevalence of obesity increased from 39.2% in 2017 to 40.7% in 2019; WMT use among patients with obesity increased from 5.3% to 7.1% (difference: 1.7%; 95% CI, 1.3%-2.2%). In a multistate model (10 180 patients; 33 549 patient-years), the 1-year probability of 5% or greater weight loss without WMT exposure was 15.6% (95% CI, 14.3%-16.5%) at reference covariates. In contrast, the probability of 5% or greater weight loss was more likely with year-long exposures to any WMT (nutrition counseling: 23.1%; 95% CI, 21.3%-25.1%; MR: 54.6%; 95% CI, 46.5%-61.2%; AOM: 27.8%; 95% CI, 25.0%-30.5%; bariatric surgery: 93.0%; 95% CI, 89.7%-95.0%).Conclusions and relevanceIn this cohort study of primary-care patients with obesity, all WMT increased the patient-level probability of achieving 5% or greater weight loss, but current rates of utilization are low and insufficient to reduce weight at the population level.

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Recognizing disordered eating in primary care patients with obesity.

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Recognizing disordered eating in primary care patients with obesity.

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