Results 71 to 80 of about 33,145 (330)
Traditional Machine Learning Models and Bidirectional Encoder Representations From Transformer (BERT)-Based Automatic Classification of Tweets About Eating Disorders: Algorithm Development and Validation Study [PDF]
Background: Eating disorders are increasingly prevalent, and social networks offer valuable information. Objective: Our goal was to identify efficient machine learning models for categorizing tweets related to eating disorders. Methods: Over three months, we collected tweets about eating disorders.
arxiv +1 more source
Obesity is a public health concern resulting in widespread personal, social, and economic burden. Many individuals with obesity report feeling unable to stop eating or to control their food intake (i.e., a loss of control over eating) despite their best ...
Veronica M. Smith+4 more
doaj +1 more source
We investigated relationships between binge-eating symptoms and emotional-behavioral problems in 382 community-adolescents (aged 13‑18 years, M = 15, SD = 1; 61% girls), analyzing gender differences.
Cecilia Serena Pace, Stefania Muzi
doaj +1 more source
Eating behavior, non-food substance consumption and negative urgency in women
Objective To evaluate aspects of eating behavior, presence of non-food substance consumption and negative urgency in women from an on-line support group for eating disorders.
Jônatas de Oliveira+1 more
doaj +2 more sources
Fragment and Integrate Network (FIN): A Novel Spatial-Temporal Modeling Based on Long Sequential Behavior for Online Food Ordering Click-Through Rate Prediction [PDF]
Spatial-temporal information has been proven to be of great significance for click-through rate prediction tasks in online Location-Based Services (LBS), especially in mainstream food ordering platforms such as DoorDash, Uber Eats, Meituan, and Ele.me.
arxiv
Cross‐Cultural Validation of the Binge Eating Disorder Screener‐7 (BEDS‐7) Across 42 Countries
ABSTRACT Objective This study aimed to evaluate the reliability and validity of the Binge Eating Disorder Screener‐7 (BEDS‐7) across 42 countries and 26 languages, assessing its reliability and validity as a screening tool for binge‐eating disorder (BED) in diverse cultural contexts.
Ateret Gewirtz‐Meydan+70 more
wiley +1 more source
IntroductionBinge eating disorder (BED) is a widespread eating disorder that primarily affects women worldwide, and it is characterized by the presence of binge eating episodes and the absence of any compensatory behavior to prevent weight gain.
Daniela Sarai Rodríguez-Rangel+2 more
doaj +1 more source
ABSTRACT Objective Having both an eating disorder (ED) and borderline personality disorder (BPD) is associated with heightened clinical complexity, high levels of distress, and challenges in treatment. This study sought to qualitatively investigate the experiences of women with an ED and comorbid BPD as they undergo ED treatment, aiming to better ...
Alexia E. Miller+5 more
wiley +1 more source
Inferring Mood-While-Eating with Smartphone Sensing and Community-Based Model Personalization [PDF]
The interplay between mood and eating episodes has been extensively researched, revealing a connection between the two. Previous studies have relied on questionnaires and mobile phone self-reports to investigate the relationship between mood and eating.
arxiv
Epidemiology of binge eating disorder [PDF]
First described over 50 years ago, binge eating disorder (BED) only recently has become the focus of epidemiologic studies. This article provides a comprehensive review of these studies.Relevant studies were examined and summarized in the form of a narrative review.Similar to the early studies of bulimia nervosa (BN), the first generation of ...
Debra L. Franko, Ruth H. Striegel-Moore
openaire +2 more sources