The Binge Eating Genetics Initiative (BEGIN): Study protocol

Background: The Binge Eating Genetics Initiative (BEGIN) is a multipronged investigation examining the interplay of genomic, gut microbiota, and behavioral factors in bulimia nervosa and binge-eating disorder. Methods: 1000 individuals who meet current diagnostic criteria for bulimia nervosa or binge-eating disorder are being recruited to collect saliva samples for genotyping, fecal sampling for microbiota characterization, and recording of 30 days of passive data and behavioral phenotyping related to eating disorders using the app Recovery Record adapted for the Apple Watch. Discussion: BEGIN examines the interplay of genomic, gut microbiota, and behavioral factors to explore etiology and develop predictors of risk, course of illness, and response to treatment in bulimia nervosa and binge-eating disorder. We will optimize the richness and longitudinal structure of deep passive and active phenotypic data to lay the foundation for a personalized precision medicine approach enabling just-in-time interventions that will allow individuals to disrupt eating disorder behaviors in real time before they occur. Trial registration: The ClinicalTrials.gov identifier is NCT04162574. November 14, 2019, Retrospectively Registered

the prevention of chronic diseases through ehealth a practical overview

Disease prevention is an umbrella term embracing individual-based or population-based interventions aimed at preventing the manifestation of diseases (primary prevention), reducing the impact of a disease that has arisen (secondary prevention), or mitigating the impact of an ongoing illness (tertiary prevention). Digital health has the potential to improve prevention of chronic diseases. Its application ranges from effective mHealth weight-loss intervention to prevent or delay the onset of diabetes in overweight adults to the cost-effective intervention on the provision of mental-health care via mobile-based or Internet-based programs to reduce the incidence or the severity of anxiety. The present contribution focuses on the effectiveness of eHealth preventive interventions and on the role of digital health in improving health promotion and disease prevention. We also give a practical overview on how eHealth interventions have been effectively implemented, developed, and delivered for the primary, secondary, and tertiary prevention of chronic diseases

Prevalence of smoking and other health risk factors in people attending residential substance abuse treatment

Introduction and Aims. People attending substance abuse treatment have an elevated risk of developing cardiovascular disease (CVD) and cancer. Consequently, there have been increasing calls for substance abuse treatment services to address smoking.The current study examined smoking behaviours of people attending residential substance abuse treatment. Additionally, the study examined rates of other potentially modifiable health risk factors for the development of CVD and cancer. Design and Methods. A cross-sectional survey was completed by participants attending Australian Salvation Army residential substance abuse treatment services (n = 228). Rates of smoking, exercise, dietary fat intake, body mass index and depression were identified and compared with representative community populations. The relationship between length of treatment and changes in these variables was also examined. Results. When compared with the Australian population, participants were much more likely to be current smokers.They also showed higher rates of dietary fat intake, and having had a previous diagnosis of a depressive disorder. Encouragingly, participants were more likely to be engaging in regular exercise. Over a third of all smokers reported having increased their smoking since attending the residential program, with correlational analysis suggesting that nicotine dependence was increasing the longer participants were in treatment. Discussion and Conclusions. People attending substance abuse treatment show extremely high rates of smoking (77%). With the large majority of participants showing multiple risk factors for CVD, it is important that residential services consider strategies to address smoking and the other potentially modifiable health risk factors in an integrated fashion. [Kelly PJ, Baker AL, Deane FP, Kay-Lambkin FJ, Bonevski B, Tregarthen J. Prevalence of smoking and other health risk factors in people attending residential substance abuse treatment

811 DELIRIUM IN COVID-19: COMMON AND CLINICALLY SIGNIFICANT: EXPERIENCES FROM THE NIGHTINGALE HOSPITAL EXETER

Delirium is an independent predictor of mortality in patients admitted with community-acquired pneumonia (Pieralli, 2014), but significance and incidence in Covid-19 infection has not been established. The Nightingale Hospital Exeter (NHE) as a multidisciplinary team model, managed 242 patients with Covid-19 from November 2020 to February 2021. This study identifies the delirium incidence, outcome, premorbid function and demographics of this cohort.Electronic records were retrospectively reviewed for keywords ‘Delirium’, ‘Hyperactive’, ‘Hypoactive’, ‘Confused’ and ‘Muddled’. Patients were categorised as Hyperactive, Hypoactive or Confused/non-specified. Prior functional support (independent, package of care, residential or nursing care) and presence of pre-established neurological conditions (including dementia) were noted.242 patients were included, average age 84 years (range 59–102). Of these patients, 130 (54%) developed delirium (29 (22%) hyperactive, 37 (28%) hypoactive, 2 (1%) mixed and 62 (48%) ‘confused’/non-specified). Of those with delirium, 56 (43%) were previously living independently and 51 (39%) were living at home with a package of care. 60 (46%) of those diagnosed had no pre-existing neurological condition, 32% had underlying dementia. There were 37 deaths at NHE (mortality 15%), 73% of these patients had delirium during their admission compared to 50% of those who survived.Over half this cohort developed delirium, a high proportion of whom had been living independently prior to admission with no pre-existing neurological condition, emphasising how common delirium is in patients with Covid-19. In a comparable cohort with pneumonia (mean age 82 years, range 65–99) 25% developed delirium, and it was an independent predictor of in-hospital mortality (Pieralli, 2014). The fact that 73% of all patients who died developed delirium suggests it may have important prognostic implications, and both this and the high incidence indicate further work is required to fully understand how to prevent and manage delirium in Covid-19.The article is available via Open Access. Click on the 'Additional link' above to access the full-text.Published version, accepted version (12 month embargo), submitted versio

Sociodemographic and clinical characteristics of treated and untreated adults with bulimia nervosa or binge-eating disorder recruited for a large-scale research study

Abstract Background Eating disorders affect millions of people worldwide, but most never receive treatment. The majority of clinical research on eating disorders has focused on individuals recruited from treatment settings, which may not represent the broader population of people with eating disorders. This study aimed to identify potential differences in the characteristics of individuals with eating disorders based on whether they self-reported accessing treatment or not, in order to contribute to a better understanding of their diverse needs and experiences. Methods The study population included 762 community-recruited individuals (85% female, M ± SD age = 30 ± 7 years) with bulimia nervosa or binge-eating disorder (BN/BED) enrolled in the Binge Eating Genetics Initiative (BEGIN) United States study arm. Participants completed self-report surveys on demographics, treatment history, past and current eating disorder symptoms, weight history, and their current mental health and gastrointestinal symptoms. Untreated participants (n = 291, 38%) were compared with treated participants (n = 471, 62%) who self-reported accessing BN/BED treatment at some point in their lives. Results Untreated participants disproportionately self-identified as male and as a racial or ethnic minority compared with treated participants. Treated participants reported a more severe illness history, specifically, an earlier age at onset, more longstanding and frequent eating disorder symptoms over their lifetime, and greater body dissatisfaction and comorbid mental health symptoms (i.e., depression, anxiety, ADHD) at the time of the study. A history of anorexia nervosa was positively associated with treatment engagement. Individuals self-reporting a history of inpatient or residential treatment exhibited the most severe illness history, those with outpatient treatment had a less severe illness history, and untreated individuals had the mildest illness history. Conclusions Historically overlooked and marginalized populations self-reported lower treatment access rates, while those who accessed treatment reported more severe eating disorder and comorbid mental health symptoms, which may have motivated them to seek treatment. Clinic-based recruitment samples may not represent individuals with milder symptoms or racial and ethnic diversity, and males. Community-based recruitment is crucial for improving the ability to apply research findings to broader populations and reducing disparities in medical research. Trial Registration ClinicalTrials.gov NCT04162574 ( https://clinicaltrials.gov/ct2/show/NCT04162574 )