Actures and matched controls and to investigate whether observed differences in bone mineral density between patients and controls could be explained by potential confounders. Methods: Six hundred and sixty-four female and eighty-five male patients who sustained a distal radial fracture, and 554 female and fifty-four male controls, were included in the study. All distal radial fractures were radiographically confirmed. Bone mineral density was assessed with use of dual x-ray absorptiometry at the femoral neck, total hip (femoral neck, trochanter, and intertrochanteric area), and lumbar spine (L2-L4). A self-administered questionnaire provided information on health and lifestyle factors. Results: The prevalence of osteoporosis was 34% in female patients and 10% in female controls. The corresponding values were 17% in male patients and 13% in male controls. In the age group of fifty to fifty-nine years, 18% of female patients and 5% of female controls had osteoporosis. In the age group of sixty to sixty-nine years, the corresponding values were 25% and 7%, respectively. In adjusted conditional logistic regression analyses, osteopenia and osteoporosis were significantly associated with distal radial fractures in women. Osteoporosis was significantly associated with distal radial fractures in men. Conclusions: The prevalence of osteoporosis in patients with distal radial fractures is high compared with that in control subjects, and osteoporosis is a risk factor for distal radial fractures in both women and men. Thus, patients of both sexes with an age of fifty years or older who have a distal radial fracture should be evaluated with bone densitometry for the possible treatment of osteoporosis. Level of Evidence: Prognostic Level III. See Instructions to Authors for a complete description of levels of evidence....

Nutritional care for hospital in-patients is potentially important but challenging. To investigate the association between nutritional status and clinical outcomes. Eight prevalence surveys were performed at Haukeland University Hospital, Norway, during 2008-2009. In total 3279 patients were classified as being at nutritional risk or not according to the Nutritional Risk Screening (NRS 2002) tool. The initial four questions of NRS 2002 assess dietary intake, weight loss, body mass index (BMI) and illness severity. The overall prevalence of nutritional risk was 29%. Adjusted mean days for hospitalisation was 8.3 days for patients at nutritional risk and 5.0 days for patients not at risk (p < 0.001). In adjusted models, patients at nutritional risk had increased one-year mortality (OR 4.07, 95% CI 2.90-5.70), morbidity (OR 1.59, 95% CI 1.18-2.13), and were 1.24 (95% CI 1.16-1.32) times more likely to have had a new admission during the three previous years and the one subsequent year, compared to patients not at risk. A 'positive' response to the initial four questions was associated with increased risk of morbidity and mortality. Patients with a reduced dietary intake during the last weeks had OR 1.72 (95% CI 1.03-2.85) for one-year mortality. Patients with a positive answer on all the initial four questions had ten times increased risk for mortality the following year, OR 13.0 (95% CI 4.52-37.6). The four initial questions of the NRS 2002 robustly identify nutritional risk and were strong predictors of hospitalisation, morbidity and most importantly mortality among hospitalised patients. Thus, these simpler and short questions are robust indicators for subsequent poor outcomes.

Iodine is a trace element required for the production of thyroid hormones, essential for metabolism, growth and brain development, particularly in the first trimester of pregnancy. Milk and lean fish are the main dietary sources of iodine in the Norwegian diet. Thus, the aim of the present study was to provide updated analysed values of iodine concentration in six fish species, 27 selected Norwegian iodine-rich dairy foods and Norwegian hen’s eggs. The iodine concentrations in the wild fish species varied between 18 μg/100 g (Atlantic halibut) and 1,210 μg/100 g (pollack). The iodine concentration of cow milk varied between 12 and 19 μg/100 g and the iodine concentration of the eggs varied between 23 and 43 μg/100 g. The results in this study deviate somewhat from the current iodine concentrations in the Norwegian Food Composition Table. This deviation may have a large impact on the assessment of the iodine intake. Hence, updated knowledge about the variation in iodine level of fish, milk, dairy products and hen’s egg are of great importance when estimating the iodine intake in the population. These data will contribute substantially to future estimations of dietary iodine intake and will be made available for the public Norwegian Food Composition Table.