Publications by authors named "M H Nauta"

Background: The identification of predictors of treatment response is crucial for improving treatment outcome for children with anxiety disorders. Machine learning methods provide opportunities to identify combinations of factors that contribute to risk prediction models.

Methods: A machine learning approach was applied to predict anxiety disorder remission in a large sample of 2114 anxious youth (5-18 years).

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The objective of this opinion was to determine if any wild caught fish species, originating from specific fishing grounds and consumed in the EU/EFTA could be considered free of zoonotic parasites. In this Opinion the term 'fishery products' only refers to fresh finfish. As there are multiple fish species and numerous potential parasites, sp.

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Anxiety and obsessive-compulsive disorders have a significant negative impact on youth. Cognitive behavioural therapy (CBT) is recommended and established as effective first-step treatment, but persistent symptoms and non-response are common. Intensive psychological treatments deliver more or longer sessions over a shorter time span, with fewer session gaps.

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Psychological treatments for social anxiety disorder (SAD) in adolescents have shown poorer outcomes than for other anxiety disorders. A relevant factor to consider for improving outcomes may be negative imagery. In this pilot study, we examined negative 'flashforward' imagery of feared catastrophic outcomes in adolescents with SAD and evaluated the feasibility and preliminary outcomes of a short eye movement desensitization and reprocessing (EMDR) intervention targeting this imagery.

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Background: Over the past two decades, the development of internet-based treatments for adolescents with anxiety and depressive disorders has advanced rapidly. To date, adolescents' preferences and perceived barriers for internet-based treatment remain largely unknown, especially in clinical samples. Therefore, this study explored the preferences and perceived barriers of adolescents with anxiety or depression regarding internet-based treatment.

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