Results 151 to 160 of about 2,857,564 (301)

Implications of cooccurring ADHD for the cognitive behavioural treatment of anxiety in autistic children

open access: yesJournal of Child Psychology and Psychiatry, EarlyView.
Background Childhood mental health conditions commonly cooccur, with potential treatment implications. Autistic children frequently experience anxiety and attention deficit/hyperactivity disorder (ADHD). We investigated the implications of this cooccurrence for Cognitive Behavioural Therapy (CBT), a front‐line treatment for anxiety in autistic children.
Elise Ng‐Cordell   +5 more
wiley   +1 more source

Medical Lysenkoism

open access: yesJournal of Evaluation in Clinical Practice, EarlyView.
Abstract Medicine is a compound field composed of science and art. The (necessary) degree to which the latter is involved opens medicine, in particular, to the introduction of ideas which do not, by their very nature, submit to confirmation or confutation as do the various methods of traditional science.
Steven K. Baker
wiley   +1 more source

Prevalence and Interplay of Hypervigilance and Kinesiophobia in TMD Patients: Implications in Clinical Outcomes

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Background Behavioural cognitive factors, like kinesiophobia and coping skills like hypervigilance, may contribute to a worse prognosis of TMD symptoms. However, there is a lack of evidence about the prevalence and relationship of hypervigilance and kinesiophobia with TMD. Objective This study aimed to assess the prevalence and associations of
Pedro Miguel Teixeira Carvas Cebola   +8 more
wiley   +1 more source

Correlation of Psychosomatic Factors and Personality Traits with The Severity of Hidradenitis Suppurativa. [PDF]

open access: yesDermatol Pract Concept
Kontoangelos K   +5 more
europepmc   +1 more source

Haematologic Data Improves Long‐Term Prediction Accuracy of Artificial Intelligence Models for Temporomandibular Disorders

open access: yesJournal of Oral Rehabilitation, EarlyView.
ABSTRACT Objectives This study aimed to develop and evaluate an artificial intelligence (AI) model to predict long‐term treatment outcomes in temporomandibular disorder (TMD) patients using clinical data and verify the value of adding haematologic data in enhancing predictive accuracy.
Moon Jong Kim   +4 more
wiley   +1 more source

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