Results 291 to 300 of about 1,304,702 (391)
Prevalence of aggression and associated factors among inpatients with mental illness at tertiary hospitals in Southwestern Uganda. [PDF]
Kayongo B+3 more
europepmc +1 more source
ABSTRACT Objective This bibliometric study analyzed eating disorder research from 1975 to 2024, examining publication trends, research themes, and the relationship between public engagement and academic attention over five decades. Methods Data were collected from PubMed, Web of Science, APA PsycInfo, and CINAHL.
Jane J. Lee, Gerald Chi
wiley +1 more source
An analysis of demographic, socio-economic and clinical variables for mental illness and mental illness relapse in south-east nigeria. [PDF]
Eneh OC, Eneh CA.
europepmc +1 more source
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
An investigation into Spanish-speaking migrant workers' perceptions of mental illness
Pascuala Perez
openalex +2 more sources
ABSTRACT Objective This study investigated post‐pandemic trends in the incidence of eating disorders (EDs) by comparing the annual observed incidence from January 1st, 2020, to December 31st, 2023, to the expected incidence based on pre‐pandemic trends (2010–2019).
Deborah Lynn Reas+2 more
wiley +1 more source
Cultural adaptation of a brief psychological intervention for PTSD in severe mental illness: a Botswana context. [PDF]
Molebatsi K+3 more
europepmc +1 more source
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