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Sökning: WFRF:(Hedemann M. S.)

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1.
  • Uusitupa, M., et al. (författare)
  • Effects of an isocaloric healthy Nordic diet on insulin sensitivity, lipid profile and inflammation markers in metabolic syndrome : a randomized study (SYSDIET)
  • 2013
  • Ingår i: Journal of Internal Medicine. - : Wiley. - 0954-6820 .- 1365-2796. ; 274:1, s. 52-66
  • Tidskriftsartikel (refereegranskat)abstract
    • Background Different healthy food patterns may modify cardiometabolic risk. We investigated the effects of an isocaloric healthy Nordic diet on insulin sensitivity, lipid profile, blood pressure and inflammatory markers in people with metabolic syndrome. Methods We conducted a randomized dietary study lasting for 18-24weeks in individuals with features of metabolic syndrome (mean age 55years, BMI 31.6kgm-2, 67% women). Altogether 309 individuals were screened, 200 started the intervention after 4-week run-in period, and 96 (proportion of dropouts 7.9%) and 70 individuals (dropouts 27%) completed the study, in the Healthy diet and Control diet groups, respectively. Healthy diet included whole-grain products, berries, fruits and vegetables, rapeseed oil, three fish meals per week and low-fat dairy products. An average Nordic diet served as a Control diet. Compliance was monitored by repeated 4-day food diaries and fatty acid composition of serum phospholipids. Results Body weight remained stable, and no significant changes were observed in insulin sensitivity or blood pressure. Significant changes between the groups were found in non-HDL cholesterol (-0.18, mmolL-1 95% CI -0.35; -0.01, P=0.04), LDL to HDL cholesterol (-0.15, -0.28; -0.00, P=0.046) and apolipoprotein B to apolipoprotein A1 ratios (-0.04, -0.07; -0.00, P=0.025) favouring the Healthy diet. IL-1 Ra increased during the Control diet (difference -84, -133; -37ngL-1, P= 0.00053). Intakes of saturated fats (E%, beta estimate 4.28, 0.02; 8.53, P=0.049) and magnesium (mg, -0.23, -0.41; -0.05, P=0.012) were associated with IL-1 Ra. Conclusions Healthy Nordic diet improved lipid profile and had a beneficial effect on low-grade inflammation.
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2.
  • Mauritsen, Thorsten, et al. (författare)
  • Developments in the MPI-M Earth System Model version 1.2 (MPI-ESM1.2) and Its Response to Increasing CO2
  • 2019
  • Ingår i: Journal of Advances in Modeling Earth Systems. - 1942-2466. ; 11:4, s. 998-1038
  • Tidskriftsartikel (refereegranskat)abstract
    • A new release of the Max Planck Institute for Meteorology Earth System Model version 1.2 (MPI-ESM1.2) is presented. The development focused on correcting errors in and improving the physical processes representation, as well as improving the computational performance, versatility, and overall user friendliness. In addition to new radiation and aerosol parameterizations of the atmosphere, several relatively large, but partly compensating, coding errors in the model's cloud, convection, and turbulence parameterizations were corrected. The representation of land processes was refined by introducing a multilayer soil hydrology scheme, extending the land biogeochemistry to include the nitrogen cycle, replacing the soil and litter decomposition model and improving the representation of wildfires. The ocean biogeochemistry now represents cyanobacteria prognostically in order to capture the response of nitrogen fixation to changing climate conditions and further includes improved detritus settling and numerous other refinements. As something new, in addition to limiting drift and minimizing certain biases, the instrumental record warming was explicitly taken into account during the tuning process. To this end, a very high climate sensitivity of around 7 K caused by low-level clouds in the tropics as found in an intermediate model version was addressed, as it was not deemed possible to match observed warming otherwise. As a result, the model has a climate sensitivity to a doubling of CO2 over preindustrial conditions of 2.77 K, maintaining the previously identified highly nonlinear global mean response to increasing CO2 forcing, which nonetheless can be represented by a simple two-layer model. 
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