Results 241 to 250 of about 665,315 (312)

Research Update: A Systematic Review of the Relationship Between Eating Disorder Symptoms and Parental Socioeconomic Status (SES) Among Adolescents

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Eating disorders (EDs) have long been viewed as disorders affecting higher socioeconomic groups, yet recent evidence shows they occur across all backgrounds. This systematic review and meta‐analysis aims to evaluate the relationship between parental socioeconomic status (SES) and ED symptoms in adolescents in the general population ...
Lea Steinstad, Alice Schittek, Marcelo R. Cardona Cabrera, Nadia Micali, Nora Trompeter   +4 more
wiley   +1 more source

Racial Disparities in Psychotropic Medication Use Before a Diagnosis of Schizophrenia and Major Depressive Disorder Among Youths and Young Adults. [PDF]

Early Interv Psychiatry
Suh K, Mayanil T, Ko PJ, Yang J, Jhon P, Chengappa KNR.   +5 more
europepmc   +1 more source

Validation Questions Are Not Enough—Bots Can Mimic Human Responses and Voices to Infiltrate Your Study: Commentary on Pennesi et al. (2026)

International Journal of Eating Disorders, EarlyView.
ABSTRACT As online research has proliferated, so too have threats to data integrity. Recent literature continues to raise concerns with survey fraud and threats to data integrity in online eating disorder (ED) research. In this commentary, we expand on recent work by describing threats to data integrity we are currently encountering in our online ...
C. Blair Burnette, Sydney T. Damon, Mel Simone   +2 more
wiley   +1 more source

Racial Disparities in Access to Minimally Invasive Emergency General Surgery.

JAMA Netw Open
Lambert BC, Fazal ZA, Wall-Wieler E, Ross SW, Sakran JV.   +4 more
europepmc   +1 more source

Structural and individualized racism drives racial disparities in chronic low back pain: A cross-sectional serial mediation analysis. [PDF]

J Pain
Aroke EN, Freij KW, Agbor FBAT, Kinnie KR, Domoyeri P, Mosley PJ, Wiggins AM, Quinn TL, Grewal SS, Aurora A, Sorge RE, Goodin BR.   +11 more
europepmc   +1 more source

The Prevalence and Sociodemographic Correlates of Eating Disorder Symptoms in a Diverse School‐Based Population

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To examine the prevalence and sociodemographic distribution of eating disorder (ED) symptoms in an ethnically and socioeconomically diverse cohort of UK adolescents. Method We analyzed cross‐sectional data from the Born in Bradford Age of Wonder Cohort. Linear regression examined associations between sociodemographic characteristics (
Katie Sampson, Eliza Shotton, Paul Moran, Francesca Solmi, Simon Gilbody, Helen Bould, Ruth Wadman   +6 more
wiley   +1 more source

Racial disparities in breast cancer subtypes, recurrence, and survival: a longitudinal cohort analysis. [PDF]

Front Oncol
Addasi R, AbuMahfouz B, Subuh A, Obeidat M, Zenah A, Haddar R, Hamdan S.   +6 more
europepmc   +1 more source

Eating Disorders in Transgender, Non‐Binary, and Gender Diverse Populations: A Meta‐Synthesis of Qualitative Findings

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Some evidence suggests that gender diverse people may be disproportionately affected by eating disorders in comparison to the general population. This review aims to further understanding of the relationship between gender identity and disordered eating/exercise, as understood by gender diverse individuals.
Kirsty Matthews, Kai S. Thomas, John R. E. Fox, Falguni Nathwani, Marc O. Williams   +4 more
wiley   +1 more source

Racial disparities in time to treatment initiation and survival outcomes in patients with vulvar cancer: a national cancer database analysis. [PDF]

Int J Clin Oncol
Yousif A, Mohamed HS, Elchouemi M, Mada SR, Chefetz I.   +4 more
europepmc   +1 more source

Artificial Intelligence in Ophthalmology: From Methodological Advances to Clinical Translation and Future Directions

Eye &ENT Research, EarlyView.
ABSTRACT Artificial intelligence (AI) is reshaping ophthalmology from task‐specific image analysis toward multimodal, longitudinal, and clinically integrated decision support. This narrative review summarizes the methodological evolution of ophthalmic AI, including traditional machine learning, task‐specific deep learning, self‐supervised learning ...
Yuxin Liu, Hanruo Liu
wiley   +1 more source