Results 101 to 110 of about 13,711 (212)

Developing Transdiagnostic Single‐Session Interventions for University Students Experiencing Disordered Eating: A Mixed‐Method Co‐Design Study

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Many university students encounter barriers to timely support for disordered eating. Brief, scalable digital single‐session interventions (SSIs) may provide an engaging and accessible transdiagnostic pathway for early intervention where there is increased distress before a diagnosis emerges.
Maya Jabs, Tracey D. Wade
wiley   +1 more source

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Although a range of evidence‐based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment efficiency and therapeutic outcomes.
Zoe McClure, Matthew Fuller‐Tyszkiewicz, Mariel Messer, Jake Linardon   +3 more
wiley   +1 more source

Reward Processing in Binge Eating and Harmful Drinking: A Systematic Review

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Binge eating and harmful drinking commonly co‐occur, which worsens the physical and psychological consequences associated with either behavior alone. Reward processing alterations have been demonstrated among individuals who engage in binge eating or harmful drinking alone; however, there is limited understanding of how different ...
Taylor N. Breddy, Kendall M. Schmidt, Lindsay P. Bodell   +2 more
wiley   +1 more source

Self‐Reported Versus Objectively Logged Social Media Use: Implications for Measurement in Eating Disorder Research

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Self‐reported frequency measures of social media use (e.g., “How often do you use social media?”) are convenient, yet their criterion validity against objective behavioral data remains largely untested in eating disorder research. We compared self‐reports of TikTok use with objective data extracted from TikTok datafiles.
Scott Griffiths, Emma Halliwell, Harish Kannan, Ben Stone, Wesley Grey, Noa Brittain, Eden Shaveet, Emily Harris   +7 more
wiley   +1 more source

An Experience‐Sampling Study on the Frequency and Diversity of Positive and Negative Affective States

European Journal of Social Psychology, Volume 56, Issue 4, Page 713-725, June 2026.
ABSTRACT Ecological models explain social phenomena by assuming specific properties of the world an individual lives in. The evaluative information ecology model (Unkelbach et al. 2019) assumes two such properties: Positive information is more frequent (i.e., positivity prevalence), but negative information is more diverse (i.e., negativity diversity).
Anne I. Weitzel, Christian Unkelbach
wiley   +1 more source

Video‐based diagnostics supported by artificial intelligence as an opportunity to address the epilepsy diagnostic gap: A narrative review

Epilepsia, EarlyView.
Abstract Despite advancements in epilepsy care, a substantial diagnostic gap persists, particularly in resource‐limited settings. This narrative review explores the potential of video‐based diagnostics augmented by artificial intelligence (AI) to address this gap by enabling earlier and more accessible seizure detection and classification.
Gadi Miron, Robert Terziev, Maximilian Schöls, John McLaren, Tobias Loddenkemper, Jörg Wellmer, Sigrid Mues, Christian Meisel   +7 more
wiley   +1 more source

Association Between Problematic Smartphone Use and Temporomandibular Disorder Severity: A Cross-Sectional Study in Puducherry. [PDF]

Cureus
Dominic N, S D, Kumar S, Venkataraman S.
europepmc   +1 more source

How to report neurotechnology and artificial intelligence studies in epilepsy: Peer‐review‐inspired recommendations

Epilepsia Open, EarlyView.
Abstract Objective The integration of neurotechnology and artificial intelligence (AI) in epilepsy research has led to significant advancements in diagnosis, monitoring, and treatment. However, the impact of these innovations is often diminished by inadequate and inaccurate reporting, limiting their reproducibility and implementation.
Pedro F. Viana, Matthew McWilliam, Andrea Biondi, Jesus Servando Medel‐Matus, Naoto Kuroda, Giulia Sofia Cereda, Aristea S. Galanopoulou   +6 more
wiley   +1 more source

Depressive symptoms precede and drive problematic smartphone use in Chinese medical students: a longitudinal network analysis. [PDF]

Front Psychol
Lv W, Huang J, Yang M, Zhang Y, Wang J, Lu H, Zhu X.   +6 more
europepmc   +1 more source

Trajectories of quality of life, anxiety and depressive symptomatology, and health‐related work productivity after first seizure events

Epilepsia Open, Volume 11, Issue 3, Page 859-870, June 2026.
Abstract Objective First seizure events are common and may exert an immediate and profound impact on people's lives. Less understood are their long‐term consequences. This prospective, longitudinal study aimed to measure and compare psychosocial and health‐related work productivity trajectories following first seizure events of various etiologies ...
Emma Foster, Zhibin Chen, Alison Conquest, David N. Vaughan, Chris Tailby, Patrick W. Carney, Wendyl D’Souza, Hue Mun Au Yong, John‐Paul Nicolo, Jacob Pellinen, Danny Liew, Terence J. O’Brien, Patrick Kwan, Zanfina Ademi   +13 more
wiley   +1 more source