Publications by authors named "A M Van der Giezen"

Background: Patients with social anxiety (SAD) and comorbid avoidant personality disorder (AVPD) are severely impaired. Group cognitive behavioral therapy (GCBT) is considered an effective treatment for SAD. More knowledge on treatment of SAD with comorbid AVPD is needed.

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Over 90% of preterm neonates are, often empirically, exposed to antibiotics as a potentially life-saving measure against sepsis. Long-term outcome in association with antibiotic exposure (NABE) has insufficiently been studied after preterm birth. We investigated the association of NABE-duration with early-childhood developmental and health outcomes in preterm-born children and additionally assessed the impact of GA on outcomes.

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Article Synopsis
  • This study compared the effectiveness of Mindfulness-Based Cognitive Therapy (MBCT) and Relapse Prevention-Cognitive Behavioral Therapy (CBT-RP) for patients with anxiety disorders that didn't respond to initial treatments.
  • The results indicated that MBCT led to significant reductions in self-reported anxiety and improved mindfulness skills immediately after treatment, although some benefits diminished after six months.
  • It was found that gains from MBCT were not mediated by mindfulness or emotion regulation strategies during mid-treatment, suggesting further research is needed to explore long-term outcomes and mechanisms.
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The nutritional requirements of preterm infants are challenging to meet in neonatal care, yet crucial for their growth, development and health. Aberrant maturation of the gastrointestinal tract and the microbiota could affect the digestion of human milk and its nutritional value considerably. Therefore, the main objective of the proposed research is to investigate how the intestinal microbiota of preterm and full-term infants differ in their ability to extract energy and nutrients from oligosaccharides and glycoproteins in human milk.

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Article Synopsis
  • The Canadian Inherited Metabolic Diseases Research Network (CIMDRN) involves 14 treatment centers and aims to enhance health outcomes for children with inherited metabolic diseases (IMD) by developing a clinical data collection platform and managing data quality.
  • The study collects demographic and diagnostic data from children diagnosed with 31 targeted IMDs, focusing on five prioritized diseases for in-depth longitudinal data, while ensuring data accuracy through user-friendly forms and regular reviews.
  • As of June 2019, CIMDRN enrolled 798 participants, achieving a 96% completion rate for minimum data sets, while identifying challenges in data interpretation and organization, but maintaining strong accuracy in disease diagnosis information.
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