Search

Historically, the introductory course in statistics at the Norwegian University of Life Sciences (NMBU), has taken a traditional, lecture-based form. A previous study at the NMBU concluded that the course structure appeared to disfavor certain cognitive or personality types, extraverts in particular. Therefore, in 2016, as an experiment, the course was restructured into a student active learning course following a flipped classroom approach. At the same time, students were encouraged to do an online screening test for cognitive preferences, personality, work interest, and preferred learning style. The main outcome in the present study was exam scores. Despite the new course structure, we still found significant differences in exam scores between students with a contextual preference, compared with a digital preference, and those with a feeling-based rather than a thinking-based personality characteristic. However, in contrast to the previous study, no significant difference in exam scores was found between the extraverts and the introverts, also after adjusting for other covariates. In the present article, we outline these results and other findings that indicate that additional adaptations should be made in the course, in order to reach an even wider group of the heterogeneous student mass, helping individuals to better reach their learning potential.

ObjectiveTo use multilevel functional principal component analysis to exploit the information inherent in the shape of longitudinally sampled glucose curves during pregnancy, and to analyse the impact of glucose curve characteristics on neonatal birth weight, percentage fat and cord blood C-peptide.Study design and settingA cohort study of healthy, pregnant women (n = 884). They underwent two oral glucose tolerance tests (gestational weeks 14-16 and 30-32), which gave two glucose curves per woman.ResultsGlucose values were higher, and peaked later in third trimester than in early pregnancy. The curve characteristic "general glucose level" accounted for 91% of the variation across visits, and 72% within visits. The curve characteristics "timing of postprandial peak", and "oscillating glucose levels" accounted for a larger part of the variation within visits (15% and 8%), than across visits (7% and ConclusionShape information in entire OGTT curves provides significant physiological information of importance for several outcomes, and may contribute to the understanding of the metabolic changes during pregnancy.

To determine the frequency of osteopenia in patients with childhood‐onset systemic lupus erythematosus (SLE) compared with that in healthy matched controls, and to evaluate the relationship between disease‐related variables and bone mineral mass.Bone mineral density (BMD) and bone mineral content (BMC) were measured in a cohort of 70 patients with childhood‐onset SLE (mean ± SD disease duration 10.8 ± 8.3 years, mean ± SD age 26.4 ± 9.9 years) and 70 age‐ and sex‐matched healthy controls. BMD and BMC of the femoral neck, lumbar spine, total body, and distal one‐third of the radius were measured by dual x‐ray absorptiometry. We investigated the relationship between BMC and the following disease variables: cumulative dose of corticosteroids, organ damage, current use of corticosteroids, use of cyclophosphamide, age at disease onset, and disease activity at the time of diagnosis. Biochemical markers of bone metabolism were also measured.BMD values for the lumbar spine and femoral neck were significantly lower in patients than in healthy controls. The reduction in BMD of the lumbar spine was significantly greater than that of the total body. In multiple linear regression analyses, a higher cumulative corticosteroid dose was significantly associated with lower BMC of the lumbar spine and femoral neck. Decreased lumbar spine BMC was also related to male sex.The frequency of osteopenia was higher in patients with childhood‐onset SLE than in matched controls. The lumbar spine was the most seriously affected skeletal site, followed by the femoral neck. The cumulative dose of corticosteroids was shown to be an important explanatory variable for BMC values in the lumbar spine and femoral neck. [ABSTRACT FROM AUTHOR]