The best treatment options for binge-eating disorder are unclear.
To summarize evidence about the benefits and harms of psychological and pharmacologic therapies for adults with binge-eating ...disorder.
English-language publications in EMBASE, the Cochrane Library, Academic OneFile, CINAHL, and ClinicalTrials.gov through 18 November 2015, and in MEDLINE through 12 May 2016.
9 waitlist-controlled psychological trials and 25 placebo-controlled trials that evaluated pharmacologic (n = 19) or combination (n = 6) treatment. All were randomized trials with low or medium risk of bias.
2 reviewers independently extracted trial data, assessed risk of bias, and graded strength of evidence.
Therapist-led cognitive behavioral therapy, lisdexamfetamine, and second-generation antidepressants (SGAs) decreased binge-eating frequency and increased binge-eating abstinence (relative risk, 4.95 95% CI, 3.06 to 8.00, 2.61 CI, 2.04 to 3.33, and 1.67 CI, 1.24 to 2.26, respectively). Lisdexamfetamine (mean difference MD, -6.50 CI, -8.82 to -4.18) and SGAs (MD, -3.84 CI, -6.55 to -1.13) reduced binge-eating-related obsessions and compulsions, and SGAs reduced symptoms of depression (MD, -1.97 CI, -3.67 to -0.28). Headache, gastrointestinal upset, sleep disturbance, and sympathetic nervous system arousal occurred more frequently with lisdexamfetamine than placebo (relative risk range, 1.63 to 4.28). Other forms of cognitive behavioral therapy and topiramate also increased abstinence and reduced binge-eating frequency and related psychopathology. Topiramate reduced weight and increased sympathetic nervous system arousal, and lisdexamfetamine reduced weight and appetite.
Most study participants were overweight or obese white women aged 20 to 40 years. Many treatments were examined only in single studies. Outcomes were measured inconsistently across trials and rarely assessed beyond end of treatment.
Cognitive behavioral therapy, lisdexamfetamine, SGAs, and topiramate reduced binge eating and related psychopathology, and lisdexamfetamine and topiramate reduced weight in adults with binge-eating disorder.
Agency for Healthcare Research and Quality.
Transplanting human gut microbiotas into germ-free (GF) mice is a popular approach to disentangle cause-and-effect relationships between enteric microbes and disease. Algorithm development has ...enabled sequence variant (SV) identification from 16S rRNA gene sequence data. SV analyses can identify which donor taxa colonize recipient GF mice, and how SV abundance in humans is replicated in these mice. Fecal microbiotas from 8 human subjects were used to generate 77 slurries, which were transplanted into 153 GF mice. Strong correlations between fecal and slurry microbial communities were observed; however, only 42.15 ± 9.95% of SVs successfully transferred from the donor to the corresponding recipient mouse. Firmicutes had a particularly low transfer rate and SV abundance was poorly correlated between donor and recipient pairs. Our study confirms human fecal microbiotas colonize formerly GF mice, but the engrafted community only partially resembles the input human communities. Our findings emphasize the importance of reporting a standardized transfer rate and merit the exploration of other animal models or in silico tools to understand the relationships between human gut microbiotas and disease.
Eco-concern, the distress experienced relating to climate change, is associated with mental health, yet no study has examined disordered eating related to eco-concern. This study developed and ...validated a 10-item scale assessing Eating-Related Eco-Concern (EREC). Participants (n = 224) completed the EREC, Climate Change Worry Scale (CCWS), and Eating Disorder Examination-Questionnaire (EDE-Q). Construct validity, convergent validity, and internal consistency were evaluated. Sex differences in EREC were evaluated using t-tests. Associations among the EREC, CCWS, and EDE-Q were evaluated using linear regression models. Sensitivity analyses were conducted in individuals below EDE-Q global score clinical cut-offs. Factor analysis suggested that all items loaded adequately onto one factor. Pearson’s correlation and Bland–Altman analyses suggested strong correlation and acceptable agreement between the EREC and CCWS (r = 0.57), but weak correlation and low agreement with the EDE-Q global score (r = 0.14). The EREC had acceptable internal consistency (α = 0.88). No sex difference was observed in the EREC in the full sample; females had a significantly higher mean score than males in sensitivity analysis. The EREC was significantly positively associated with the CCWS and EDE-Q global and shape concern scores, but not in sensitivity analysis. The EREC is a brief, validated scale that can be useful to screen for eating-related eco-concern.
Individual-level longitudinal data on biological, behavioural, and social dimensions are becoming increasingly available. Typically, these data are analysed using mixed effects models, with the ...result summarised in terms of an average trajectory plus measures of the individual variations around this average. However, public health investigations would benefit from finer modelling of these individual variations which identify not just one average trajectory, but several typical trajectories. If evidence of heterogeneity in the development of these variables is found, the role played by temporally preceding (explanatory) variables as well as the potential impact of differential trajectories may have on later outcomes is often of interest. A wide choice of methods for uncovering typical trajectories and relating them to precursors and later outcomes exists. However, despite their increasing use, no practical overview of these methods targeted at epidemiological applications exists. Hence we provide: (a) a review of the three most commonly used methods for the identification of latent trajectories (growth mixture models, latent class growth analysis, and longitudinal latent class analysis); and (b) recommendations for the identification and interpretation of these trajectories and of their relationship with other variables. For illustration, we use longitudinal data on childhood body mass index and parental reports of fussy eating, collected in the Avon Longitudinal Study of Parents and Children.
Anorexia nervosa (AN) occurs nine times more often in females than in males. Although environmental factors likely play a role, the reasons for this imbalanced sex ratio remain unresolved. AN ...displays high genetic correlations with anthropometric and metabolic traits. Given sex differences in body composition, we investigated the possible metabolic underpinnings of female propensity for AN. We conducted sex‐specific GWAS in a healthy and medication‐free subsample of the UK Biobank (n = 155,961), identifying 77 genome‐wide significant loci associated with body fat percentage (BF%) and 174 with fat‐free mass (FFM). Partitioned heritability analysis showed an enrichment for central nervous tissue‐associated genes for BF%, which was more prominent in females than males. Genetic correlations of BF% and FFM with the largest GWAS of AN by the Psychiatric Genomics Consortium were estimated to explore shared genomics. The genetic correlations of BF%male and BF%female with AN differed significantly from each other (p < .0001, δ = −0.17), suggesting that the female preponderance in AN may, in part, be explained by sex‐specific anthropometric and metabolic genetic factors increasing liability to AN.
Individuals with ADHD are at increased risk for poor occupational outcomes. Educational attainment and psychiatric comorbidity may be important contributing factors for these outcomes, but the role ...of these factors is not well characterized. This study aimed to investigate the associations between ADHD and occupational outcomes, and to examine the influence of educational attainment, comorbid developmental disorders and intellectual disability on these associations.
We linked the Swedish population graduating from compulsory school 1998-2008 (N = 1.2 millions) to population-wide register-based data on clinical psychiatric diagnoses and medications, objective annual measures of educational, and occupational outcomes. Individuals were followed for between 6 to 16 years after graduation.
Individuals with ADHD had annually on average 17 percent lower income, ratio = 0.83 (95% CI 0.83-0.84), 12.19 (11.89-12.49) more days of unemployment, and a higher likelihood of receiving disability pension, odds-ratio = 19.0 (18.4-19.6), compared to controls. Comorbid diagnoses of intellectual disability and developmental disorder explained most of the association between ADHD and disability pension, while lifetime educational attainment partially explained associations between ADHD and all occupational outcomes. Analyses of occupational trajectories found that income was lower and unemployment elevated relative to controls with the same educational attainment. Higher educational attainment correlated with higher income similarly among individuals with ADHD and controls after accounting for individual background factors.
The occupational burden associated with ADHD is substantial. Comorbid developmental disorders, intellectual disability and educational difficulties (e.g., failing grades) from childhood to adulthood are important factors to consider when designing interventions to improve occupational outcomes in individuals with ADHD.
The predictive performance of polygenic scores (PGS) is largely dependent on the number of samples available to train the PGS. Increasing the sample size for a specific phenotype is expensive and ...takes time, but this sample size can be effectively increased by using genetically correlated phenotypes. We propose a framework to generate multi-PGS from thousands of publicly available genome-wide association studies (GWAS) with no need to individually select the most relevant ones. In this study, the multi-PGS framework increases prediction accuracy over single PGS for all included psychiatric disorders and other available outcomes, with prediction R
increases of up to 9-fold for attention-deficit/hyperactivity disorder compared to a single PGS. We also generate multi-PGS for phenotypes without an existing GWAS and for case-case predictions. We benchmark the multi-PGS framework against other methods and highlight its potential application to new emerging biobanks.
In The Lancet, Stephan Zipfel and colleagues present results of the Anorexia Nervosa Treatment of OutPatients (ANTOP) study, in which two manual-based outpatient treatments (focal psychodynamic ...therapy and enhanced cognitive behaviour therapy) were compared with optimised treatment as usual, which included careful and regular monitoring by family doctors linked to care at specialist treatment centres. The findings provide some rather sobering observations about treatment of anorexia nervosa, and highlight the difficulties of implementing clinical trials for this disorder.
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