Diabetes Prediction in Skåne, DiPiS aims to investigate why children develop diabetes type 1. By being able to predict which children who will develop diabetes, it may be...
The results of matched analysis and propensity analysis including questionnaire section, question description, labels used in figures, missing data separately for cases and controls, p-values, effect
Background Studies link antibiotic treatment and delivery by cesarean section with increased risk of chronic diseases through changes of the gut-microbiota. We aimed to evaluate the association of bro
Introduction: The incidence of childhood type 1 diabetes (T1D) has increased globally in recent decades. Analyzing incidence trends can elucidate patterns and predict future healthcare burdens. We aim