Eating and Weight Disorders - Studies on Anorexia, Bulimia and Obesity最新文献

Purpose: Individuals with eating disorders (ED) and comorbid borderline personality disorder (BPD) may benefit from therapies focusing on emotion regulation, such as dialectical behavioral therapy (DBT). The aim of the study was to evaluate the effectiveness of one-year standard DΒΤ enhanced with cognitive-behavioral therapy (CBT) strategies for patients suffering from ED and BPD.

Methods: Seventy-two BPD and ED (anorexia and bulimia nervosa) participants were recruited from the eating disorders unit of the 1st Psychiatric Department of National and Kapodistrian University of Athens. All participants completed one year of standard DBT. ED-related behaviors were added to the treatment plan according to the DBT targeting hierarchy. Individual therapy and skills training group sessions were adapted to incorporate CBT strategies for nutritional and weight restoration. BPD and ED symptomatology were measured at the beginning and at the end of one year of treatment.

Results: The major finding of the study was the significant improvement of patients in all the outcome measurements after one year of treatment. The study's second finding was that the severity of BPD symptomatology was significantly related to the severity of ED symptomatology. It was also shown that improvement of the patients coping skills was correlated with the reduction of ED and BPD symptomatology.

Conclusions: These results support previous studies on the effectiveness of DBT for comorbid BPD and EDs. Despite the promising results, randomized controlled trials are needed to establish the efficacy of DBT for BPD and ED patients.

Level of evidence: Level IV: Evidence obtained from multiple time series with or without the intervention, such as case studies. Dramatic results in uncontrolled trials might also be regarded as this type of evidence.

Objectives: This study aimed to investigate the effects of a calorie-restricted dietary (CRD) intervention on weight and gut microbiota diversity in obese patients with sleep deprivation (SD).

Methods: Twenty obese patients were divided into a sleep deprivation group (SD group, n = 10) and a nonsleep deprivation group (NSD group, n = 10), both of which underwent a CRD intervention for 12 weeks. Measurement of anthropometric parameters, biochemical examinations and gut microbiota detection were performed at baseline and at the end of week 12. Mi Smart Bands 1 (Standard Option) were used to monitor sleep and exercise.

Results: (1) The CRD intervention improved body weight (BW), waist circumference (WC), blood pressure (BP), basal metabolic rate (BMR), body fat content (BFC), and insulin resistance index (HOMA-IR) in all obese patients. (2) In the NSD group, BW, BFC, VFA (visceral fat area), BMR and total cholesterol (TC) were significantly reduced after the CRD intervention (P < 0.05). (3) The alpha diversity of the gut microbiota remained unchanged after the intervention in the two groups. (4) There was a negative correlation between Mollicutes and BMR in the NSD group.

Conclusions: The effects of a CRD intervention weaken on weight loss and the metabolism of blood lipids may be weakened by SD. The abundance of Mollicutes bacteria may be related to weight loss after a CRD intervention in obese patients.

Level of evidence: III, prospective cohort study.

We examined the psychometric properties of the SCOFF, a screening instrument for eating disorders, with consideration of the perceived stigma of items that can produce socially desirable responding among a sample of college students. The results of the current study suggest evidence of the sufficient psychometric properties of the SCOFF in terms of confirmatory factor and item response theory analyses. However, two items of the SCOFF revealed that individuals who otherwise endorsed other items of the SCOFF were less likely to endorse the items of Fat and Food. It is hypothesized that this is the result of perceived stigma regarding those two items that prompts individuals to respond in a socially desirable way. A weighted scoring procedure was developed to counteract the performance of these two items, but the psychometric performance was only slightly better and there would be a clear tradeoff of specificity over sensitivity if utilized. Future research should consider other ways to counteract such perceived stigma.Level of evidence Level III: Evidence obtained from cohort or case-control analytic studies.

Objectives: The purpose of this study is to investigate whether the relationship between weight stigma experiences and disordered eating behaviors during the COVID-19 pandemic is mediated by weight gain concern and psychological distress among university students with and without overweight.

Methods: A cross-sectional study was conducted with university students from five regions of Brazil who participated in the baseline assessment of the Online Cohort on Eating Behavior and Health (July/August 2020). Information on the frequency of binge eating episodes, food restriction, and purging, as well as experienced weight stigma, weight gain concern, and psychological distress, were recorded in an online questionnaire. Stratified structural equation modeling (SEM) analyses were performed to address the research questions of interest.

Results: Out of the total sample (n = 2511), 33.5% of participants reported experiencing weight stigma. The prevalence of binge eating episodes, food restriction, and purging was 43.7%, 24.1%, and 5.4%, respectively. These behaviors were more prevalent in individuals with overweight than in those without this condition. Furthermore, it was observed that weight gain concern and psychological distress mediated the relationship between weight stigma and disordered eating behaviors regardless of body weight status.

Conclusions: Experiences of weight stigma and disordered eating behaviors were prevalent among Brazilian university students, especially among those with overweight. Weight gain concern and psychological distress appear to be important factors underlying the relationship between these constructs during the pandemic, and they can contribute to the development of targeted strategies for the prevention and management of disordered eating.

Level of evidence: Level V, cross-sectional study.

Background: Night eating syndrome (NES) is a unique eating disorder characterised by evening hyperphagia and nocturnal ingestions which cause significant distress and/or impairment in functioning. Despite the growing literature, NES remains poorly understood and under diagnosed. As such, this study aims to compare the prevalence of physical health conditions in participants with NES when compared to participants without an eating disorder (ED) and participants with other eating disorders (including anorexia nervosa (AN), binge eating disorder (BED) and bulimia nervosa (BN)) in a general population Australian sample of adults.

Methods: The data for this study were obtained from the 2017 Health Omnibus Survey (HOS) a multi-stage, cross-sectional survey, conducted by Harrison Research in South Australia. This current study focused on 2547 participants over 18 years of age and specific questions from this population survey including those related to participant demographics and health.

Results: This study identified that participants who screened positive for night eating syndrome (spNES) when compared to participants with other eating disorders (ED) or no ED diagnosis, were significantly more likely to have an increased age, be female, have lower levels of education and have lower household income. Additionally, the spNES group was significantly associated with sleep apnoea (p = 0.031), insomnia or other sleep problems (p < 0.0001), increased BMI (p < 0.0001), increased levels of pain/discomfort and lower physical health-related quality of life. Hypertension, hypercholesterolemia, and diabetes were not significantly associated with the spNES group or the "other ED" group which included participants with AN, BED, BN.

Conclusions: Several physical health problems were found to be significantly associated with the spNES group including sleep problems, increased BMI, increased levels of pain and lower self-reported physical health-related quality of life. Consequently, future research exploring the complex interaction between NES and these medical conditions may provide further insight into the diagnosis, screening tools and management of NES. Additionally, this study highlights the need for future studies which use larger population-based samples.

Level of evidence: Level III. Evidence obtained from well-designed cohort or case-control analytic studies.

Purpose: The role of body image in adolescent binge eating is widely confirmed, albeit the various facets of this relationship are still mostly unexplored. Within the multidimensional body image framework, this study hypothesized the indirect effects of three body image coping strategies (positive rational acceptance, appearance fixing, avoidance) in the expected relationship between the perceived impact of body image on individuals' quality of life and binge eating symptoms.

Methods: Participants were 715 adolescents aged 15-21 years (49.1% girls) recruited in Italian schools. An anonymous self-report online survey was administered. A multiple mediation model was tested.

Results: A more positive perceived impact of body image on quality of life was a negative predictor of adolescents' binge eating, controlling for individual levels of body satisfaction. Three indirect effects were found in this relationship: on one hand, the positive body image impact reduced binge eating via increasing positive rational acceptance (M₁), and via reducing avoidance (M₂); on the contrary, the positive body image impact also enhanced binge eating via increasing appearance fixing (M₃).

Conclusions: The body image impact on quality of life can be alternatively protective-when adaptive coping is solicited, and maladaptive strategies are reduced-or a risk factor, which may increase binge eating by soliciting appearance fixing.

Level iii: Evidence obtained from cohort or case-control analytic studies.

Purpose: Emotional eating (EE) refers to eating in response to (negative) emotions. Evidence for the validity of EE is mixed: some meta-analyses find EE only in eating disordered patients, others only in restrained eaters, which suggest that only certain subgroups show EE. Furthermore, EE measures from lab-based assessments, ecological momentary assessment (EMA), and psychometric measures often diverge. This paper tested whether the covariance of these three different EE methods can be modeled through a single latent variable (factorial validity), and if so, how this variable would relate to restrained eating (construct validity), Body-Mass-Index (BMI), and subclinical eating disorder symptomatology (concurrent validity).

Methods: 102 non-eating disordered female participants with a wide BMI range completed EE measures from three methods: psychometric questionnaires, a laboratory experiment (craving ratings of food images in induced neutral vs. negative emotion) and EMA questionnaires (within-participant correlations of momentary negative emotions and momentary food cravings across 9 days). Two measures for each method were extracted and submitted to confirmatory factor analysis.

Results: A one-factor model provided a good fit. The resulting EE_lat factor correlated positively with subclinical eating disorder symptoms and BMI but not with restrained eating.

Conclusions: The one-factor solution shows that the EE construct can validly be assessed with three different methods. Individual differences in EE are supported by the data and are related to eating and weight problem symptomatology but not to restrained eating. This supports learning accounts of EE and underscores the relevance of the EE construct to physical and mental health.

Level of evidence: II (Evidence obtained from well-designed controlled trials without randomization).

Purpose: The aim of the study was to examine the effects of meal supervision, provided by health professionals, volunteers or family members, on anthropometric, nutritional, psychological, and behavioural outcomes in patients with eating disorders (EDs).

Methods: The present systematic review was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. The last search was conducted in three databases (PubMed, Scopus, and the Cochrane library). Inclusion criteria considered paediatric and adult patients suffering from EDs, regardless of ethnicity, and treated in different therapeutic settings. The quality of the studies was evaluated using the Newcastle Ottawa Scale (NOS) adapted for cross-sectional studies and Version 2 of the Cochrane risk-of-bias assessment tool for randomised trials.

Results: 3282 articles were retrieved, out of which only 6 met the eligibility criteria. A marked heterogeneity in definitions and approaches to supervised mealtime was observed. This variability emerged in the methodologies used in the supervised meal, and in the reference values for the outcome measures that were used, such as the analysis of different parameters. Based on these observations, mealtime assistance provided to patients with EDs shows an overall positive effect on eating behaviour and dysfunctional attitudes. Future research should be prompted to provide a thorough definition of a structured procedure for meal assistance to be potentially and systematically included in the nutritional rehabilitation protocols for patients with EDs.

Level of evidence: Level IV systematic reviews of uncontrolled trials.

Purpose: People with eating disorders may be at increased risk for physical health problems, but there are no data on the relationship between eating disorders and physical multimorbidity (i.e., ≥ 2 physical conditions) and its potential mediators. Thus, we investigated this association in a representative sample of adults from the UK, and quantified the extent to which this can be explained by various psychological and physical conditions, and lifestyle factors.

Methods: Cross-sectional data of the 2007 Adult Psychiatric Morbidity Survey were analyzed. Questions from the five-item SCOFF screening instrument were used to identify possible eating disorder. Respondents were asked about 20 physical health conditions. Multivariable logistic regression and mediation analysis were conducted.

Results: Data on 7403 individuals aged ≥ 16 years were analyzed [mean (SD) age 46.3 (18.6) years; 48.6% males]. After adjustment, possible eating disorder was associated with 2.11 (95%CI = 1.67-2.67) times higher odds for physical multimorbidity. Anxiety disorder explained the largest proportion this association (mediated percentage 26.3%), followed by insomnia (21.8%), perceived stress (13.4%), depression (13.1%), obesity (13.0%), and alcohol dependence (4.3%).

Conclusion: Future longitudinal studies are warranted to understand potential causality and the underlying mechanisms in the association between eating disorder and multimorbidity, and whether addressing the identified potential mediators in people with eating disorders can reduce multimorbidity.