Publications by authors named "R Kok"

Article Synopsis
  • Electroconvulsive therapy (ECT) is effective for major depressive disorder, but individual responses vary and are hard to predict due to differences in symptoms.
  • The study analyzed data from 161 patients to determine which specific baseline depression symptoms could predict remission using a Mixed Graphical Model approach.
  • Results showed that suicidality negatively predicted remission, while symptoms like psychomotor retardation and hypochondriasis were positively associated with better treatment outcomes.
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Background: In recent years, sustainable employability, rooted in the capability approach, has received substantial attention due to its associations with work and health-related outcomes. While previous studies have indicated that being able and enabled to achieve important work values (i.e.

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Background: Severe mental illnesses are associated with an increased risk of COVID-19-related mortality. Research on COVID-19 among nursing home residents with severe mental illnesses, or ‘double care demanding patients’, is lacking. Ideally, these patients reside in specialized gerontopsychiatric wards within mental health and nursing home facilities, such as a ‘psychiatric nursing home’.

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Reliable predictors for electroconvulsive therapy (ECT) effectiveness would allow a more precise and personalized approach for the treatment of major depressive disorder (MDD). Prediction models were created using a priori selected clinical variables based on previous meta-analyses. Multivariable linear regression analysis was used, applying backwards selection to determine predictor variables while allowing non-linear relations, to develop a prediction model for depression outcome post-ECT (and logistic regression for remission and response as secondary outcome measures).

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Complex health challenges require professionals to operate across disciplines and to better connect with society. Here, we showcase a community-engaged and challenge-based educational model in which undergraduate students conduct transdisciplinary research on authentic complex biomedical problems. This concept reinforces translational medicine, human capital, and exemplifies synergy between education, research, healthcare, and society.

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