Results 161 to 170 of about 314,334 (353)
Nutrition in children with cancer
It is very important for a child with cancer to have a normal process of growth. Then management of child's nutritional status and his/her security protection is necessary. The objectives of this article were to assess nutritional status, to find reasons
Salemi S
doaj
Distinct Patterns of Dynamical Regulation in Passive Sensor Data Following Binge and Purge Behaviors
ABSTRACT Background Binge eating is a cardinal symptom of binge‐eating disorder (BED) and bulimia nervosa (BN), while recurrent purging is specific to BN (American Psychiatric Association, 2022). These behaviors are associated with health consequences (e.g., gastrointestinal, cardiovascular, and metabolic problems; Sheehan & Herman, 2015). The distress‐
Jonathan E. Butner+9 more
wiley +1 more source
ABSTRACT Background Emerging research suggests neighborhood disadvantage is associated with disordered eating (DE; e.g., binge eating, body dissatisfaction) beginning in middle childhood, with effects that increment those of proximal disadvantage (e.g., family income).
Megan E. Mikhail+3 more
wiley +1 more source
Perfect body (1997): eating disorders among elite athletes, risk factors and symptomatology
Nowadays, society and the mass media have made physical profiles fashionable that are difficult to emulate, causing a significant percentage of the population to develop different types of eating disorders.
Alba MARTÍNEZ de ESTIBARIZ+3 more
doaj
Mental Disorder Classification via Temporal Representation of Text [PDF]
Mental disorders pose a global challenge, aggravated by the shortage of qualified mental health professionals. Mental disorder prediction from social media posts by current LLMs is challenging due to the complexities of sequential text data and the limited context length of language models.
arxiv
All in the Name of Artificial Intelligence: A Commentary on Linardon (2025)
ABSTRACT Artificial Intelligence (AI) is being rapidly integrated into healthcare, but Linardon et al. reveal a troubling gap between what AI actually is, its capabilities, and the patients' and clinicians' perceptions of it—equating AI solely with large language models.
Pia Burger, Sreejita Ghosh
wiley +1 more source