Background: As our global population ages, malnutrition and sarcopenia are increasingly prevalent. Given the multifactorial nature of these conditions, effective management of (risk of) malnutrition and sarcopenia necessitates interprofessional collaboration (IPC). This study aimed to understand primary …

Objectives: People with intellectual disabilities are more vulnerable to and experience mental health concerns at a higher incidence than their peers without intellectual disabilities. This may be directly related to the aetiology of their intellectual disability but also occur because of negative psychological …

Tijdens het New Energy Forum 2023 organiseerden we het slotevenement van Coöperatief in Balans, bestaande uit een plenaire sessie, drie verschillende workshops en een informatiekraam. Tevens werd de Toolbox, gevuld met tools uit het project CiB, plechtig overhandigd aan Philip Broeksma, wethouder te …

The things teachers do in class have an important influence on their students’ motivation, engagement, and learning. This study uses an international expert panel to identify the teacher behaviors most likely to influence motivation—specifically, teacher behaviors that increase the more healthy, autonomous …

Sodium-glucose co-transporter 2 (SGLT2) inhibitors, including canagliflozin, reduce the risk of cardiovascular and kidney outcomes in patients with and without type 2 diabetes, albeit with a large interindividual variation. The underlying mechanisms for this variation in response might be attributed …

The angiotensin receptor blocker telmisartan slows progression of kidney disease in patients with type 2 diabetes (T2D), yet many patients remain at high risk for progressive kidney function loss. The underlying mechanisms for this response variation might be attributed to differences in angiotensin-1 …

Background While low back pain occurs in nearly everybody and is the leading cause of disability worldwide, we lack instruments to accurately predict persistence of acute low back pain. We aimed to develop and internally validate a machine learning model predicting non-recovery in acute low back pain …