Processes and pathways to binge eating: development of an integrated cognitive and behavioural model of binge eating.

Background:There are a number of factors commonly believed to be important to the development and maintenance of binge eating that have been identified across multiple models and theories in the psychological literature. In the present study, we sought to develop and test a psychological model for binge eating that incorporated the main variables identified in the literature to drive binge eating behaviour; specifically, core low self-esteem, negative affect, difficulty with emotional regulation, restricted eating and beliefs about eating. Methods:Questionnaire data was collected from 760 unselected participants. The proposed model of binge eating was developed, bivariate relationships between the included variables were assessed, and the goodness-of-fit of this new model was evaluated using structural equations modelling. Result:The results identified significant bivariate relationships between all the included variables. While the originally proposed model did not provide a good fit to the data, the revised version of the model provided a good fit to the data. Conclusions:Supporting, integrating and building upon the current existing psychological models of binge eating, this study presents a new integrated cognitive and behavioural model of binge eating. The dual-pathway to binge eating identified in the new model provides a different way to understand transdiagnostic binge eating

The revised short-form of the Eating Beliefs Questionnaire: Measuring positive, negative, and permissive beliefs about binge eating.

BACKGROUND: The Eating Beliefs Questionnaire (EBQ) is a self-report assessment tool that measures positive and negative beliefs about food and eating that are believed to play a key role in maintaining binge eating behaviour that occurs in individuals with Bulimia Nervosa, Binge Eating Disorder and other atypical eating disorders. The present study aimed to further refine this measure with the addition of a third scale to assess permissive beliefs about eating, also thought to play a crucial role in the maintenance of binge eating. Permissive beliefs are defined as beliefs about eating that provide justification for the individual to engage in a binge eating episode. METHODS: After consultation with the literature and endorsement from 10 experts in eating disorders, 19 permissive belief items were generated. Eight hundred eighty-three participants were recruited to complete a test battery online that included the EBQ and the new permissive items. RESULTS: An exploratory factor analysis (n = 441) found a three-factor solution (positive, negative and permissive beliefs) explaining 63.4% of variance. A confirmatory factor analysis (n = 442) provided support for the three-factor model, with the data best supporting a shorter 18-item questionnaire. The revised scale demonstrated good internal consistency, as well as good convergent validity with measures of related eating disorder symptoms, emotional regulation, mood and anxiety. CONCLUSIONS: With the addition of a third scale to measure permissive beliefs, the revised short-form of the EBQ offers clinicians and researchers a brief comprehensive tool for the measurement of positive, negative and permissive beliefs about binge eating

Choosing face: The curse of self in profile image selection.

People draw automatic social inferences from photos of unfamiliar faces and these first impressions are associated with important real-world outcomes. Here we examine the effect of selecting online profile images on first impressions. We model the process of profile image selection by asking participants to indicate the likelihood that images of their own face ("self-selection") and of an unfamiliar face ("other-selection") would be used as profile images on key social networking sites. Across two large Internet-based studies (n = 610), in line with predictions, image selections accentuated favorable social impressions and these impressions were aligned to the social context of the networking sites. However, contrary to predictions based on people's general expertise in self-presentation, other-selected images conferred more favorable impressions than self-selected images. We conclude that people make suboptimal choices when selecting their own profile pictures, such that self-perception places important limits on facial first impressions formed by others. These results underscore the dynamic nature of person perception in real-world contexts

Face matching impairment in developmental prosopagnosia

Developmental prosopagnosia (DP) is commonly referred to as ‘face blindness’, a term that implies a perceptual basis to the condition. However, DP presents as a deficit in face recognition and is diagnosed using memory-based tasks. Here, we test face identification ability in six people with DP, who are severely impaired on face memory tasks, using tasks that do not rely on memory. First, we compared DP to control participants on a standardised test of unfamiliar face matching using facial images taken on the same day and under standardised studio conditions (Glasgow Face Matching Test; GFMT). DP participants did not differ from normative accuracy scores on the GFMT. Second, we tested face matching performance on a test created using images that were sourced from the Internet and so vary substantially due to changes in viewing conditions and in a person’s appearance (Local Heroes Test; LHT). DP participants show significantly poorer matching accuracy on the LHT relative to control participants, for both unfamiliar and familiar face matching. Interestingly, this deficit is specific to ‘match’ trials, suggesting that people with DP may have particular difficulty in matching images of the same person that contain natural day-to-day variations in appearance. We discuss these results in the broader context of individual differences in face matching ability

Introducing delay dynamics to Bertalanffy's spherical tumour growth model

We introduce delay dynamics to an ordinary differential equation model of tumour growth based upon von Bertalanffy's growth model, a model which has received little attention in comparison to other models, such as Gompterz, Greenspan and logistic models. Using existing, previously published data sets we show that our delay model can perform better than delay models based on a Gompertz, Greenspan or logistic formulation. We look for replication of the oscillatory behaviour in the data, as well as a low error value (via a Least-Squares approach) when comparing. We provide the necessary analysis to show that a unique, continuous, solution exists for our model equation and consider the qualitative behaviour of a solution near a point of equilibrium

Covid-19 and lack of linked datasets for care homes

No abstract available

Mainstreaming of genomic medicine in gastroenterology, present and future: a nationwide survey of UK gastroenterology trainees

Objective: Genomics and personalised medicine are increasingly relevant for patients with gastroenterological conditions. We aim to capture the current state of genomics training in gastroenterology to review current understanding, clinical experience and long-term educational needs of UK trainees. // Design and setting: A web-based nationwide survey of all UK gastroenterology specialty trainees was conducted in 2017. // Results: 100 trainees (14% of UK gastroenterology trainees) completed this survey. Only 9% and 16% of respondents believe that their local training programme adequately prepares them for the future clinical practice using genomic medicine and personalised medicine, respectively. Barriers identified include the need for greater trainee education (95%), inadequate clinical guidance to base interventions on the results of genomic testing (53%), concerns over misinterpretation by patients (43%) and overuse/misuse of testing by clinicians (34%). Survey respondents felt prepared to perform HFE genotyping (98%), assess TPMT status (97%) and interpret HLA subtyping for suspected coeliac disease (85%). However, only a minority felt prepared to perform the following investigations: polyposis screening (34%), hereditary pancreatitis screening (30%), testing for Lynch yndrome (33%) and KRAS testing for colorectal cancer (20%). Most respondents would support holding dedicated training days on genomic medicine (83%), formal training provisions for the mainstreaming of genomic testing (64%), an update to the UK gastroenterology specialty training curriculum and examinations (57%) and better-defined referral pathways for local genomic services (91%). // Conclusion: Most gastroenterology trainees in this survey feel ill equipped to practise genomic and personalised medicine as consultants. We propose specific revisions to the UK gastroenterology specialty curriculum that addresses trainees needs

Mainstreaming of genomic medicine in gastroenterology, present and future: a Nationwide Survey of UK Gastroenterology Trainees

Objective: Genomics and personalised medicine are increasingly relevant for patients with gastroenterological conditions. We aim to capture the current state of genomics training in gastroenterology to review current understanding, clinical experience and long-term educational needs of UK trainees.Design & Setting: A web-based nationwide survey of all UK gastroenterology specialty trainees was conducted in 2017.Results: 100 trainees (14% of UK gastroenterology trainees) completed this survey. Only 9% and 16% of respondents believe that their local training programme adequately prepares them for future clinical practice utilising genomic medicine and personalised medicine respectively. Barriers identified include the need for greater trainee education (95%), inadequate clinical guidance to base interventions on the results of genomic testing (53%), concerns over misinterpretation by patients (43%) and overuse/misuse of testing by clinicians (34%).Survey respondents felt prepared to perform HFE genotyping (98%), assess TPMT status (97%), and interpret HLA-subtyping for suspected coeliac disease (85%). However, only a minority felt prepared to perform the following investigations: polyposis screening (34%), hereditary pancreatitis screening (30%), testing for Lynch Syndrome (33%), and KRAS testing for colorectal cancer (20%).Most respondents would support holding dedicated training days on genomic medicine (83%), formal training provisions for the mainstreaming of genomic testing (64%), an update to the UK gastroenterology specialty training curriculum and examinations (57%), and better-defined referral pathways for local genomic services (91%).Conclusion: Most gastroenterology trainees in this survey feel ill-equipped to practice genomic and personalised medicine as consultants. We propose specific revisions to the UK gastroenterology specialty curriculum that address trainees needs

Explainable text-tabular models for predicting mortality risk in companion animals

As interest in using machine learning models to support clinical decision-making increases, explainability is an unequivocal priority for clinicians, researchers and regulators to comprehend and trust their results. With many clinical datasets containing a range of modalities, from the free-text of clinician notes to structured tabular data entries, there is a need for frameworks capable of providing comprehensive explanation values across diverse modalities. Here, we present a multimodal masking framework to extend the reach of SHapley Additive exPlanations (SHAP) to text and tabular datasets to identify risk factors for companion animal mortality in first-opinion veterinary electronic health records (EHRs) from across the United Kingdom. The framework is designed to treat each modality consistently, ensuring uniform and consistent treatment of features and thereby fostering predictability in unimodal and multimodal contexts. We present five multimodality approaches, with the best-performing method utilising PetBERT, a language model pre-trained on a veterinary dataset. Utilising our framework, we shed light for the first time on the reasons each model makes its decision and identify the inclination of PetBERT towards a more pronounced engagement with free-text narratives compared to BERT-base’s predominant emphasis on tabular data. The investigation also explores the important features on a more granular level, identifying distinct words and phrases that substantially influenced an animal’s life status prediction. PetBERT showcased a heightened ability to grasp phrases associated with veterinary clinical nomenclature, signalling the productivity of additional pre-training of language models