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Sökning: WFRF:(Tunstall Pedoe Hugh) > Kuulasmaa Kari > Oskarsson Viktor

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1.
  • Oskarsson, Viktor, et al. (författare)
  • Influence of geographical latitude on vitamin D status: cross-sectional results from the BiomarCaRE consortium
  • 2022
  • Ingår i: British Journal of Nutrition. - : Cambridge University Press. - 0007-1145 .- 1475-2662. ; 128:11, s. 2208-2218
  • Tidskriftsartikel (refereegranskat)abstract
    • Even though sunlight is viewed as the most important determinant of 25-hydroxyvitamin D (25[OH]D) status, several European studies have observed higher 25(OH)D concentrations among north-Europeans than south-Europeans. We studied the association between geographical latitude (derived from ecological data) and 25(OH)D status in 6 European countries by using harmonized immunoassay data from 81,084 participants in the Biomarkers for Cardiovascular Risk Assessment in Europe (BiomarCaRE) project (male sex 48.9%; median age 50.8 years; examination period 1984 to 2014). Quantile regression models, adjusted for age, sex, decade and calendar week of sampling, and time from sampling to analysis, were used for between-country comparisons. Up until the median percentile, the ordering of countries by 25(OH)D status (from highest to lowest) was as follows: Sweden (at 65.6 to 63.8 oN), Germany (at 48.4 oN), Finland (at 65.0 to 60.2 oN), Italy (at 45.6 to 41.5 oN), Scotland (at 58.2 to 55.1 oN), and Spain (at 41.5 oN). From the 75th percentile and upwards, Finland had higher values than Germany. As an example, using the Swedish cohort as comparator, the median 25(OH)D concentration was 3.03, 3.28, 5.41, 6.54, and 9.28 ng/mL lower in the German, Finnish, Italian, Scottish, and Spanish cohort, respectively (P-value < 0.001 for all comparisons). The ordering of countries was highly consistent in subgroup analyses by sex, age, and decade and season of sampling. In conclusion, we confirmed the previous observation of a north-to-south gradient of 25(OH)D status in Europe, with higher percentile values among north-Europeans than south-Europeans.
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2.
  • Reinikainen, Jaakko, et al. (författare)
  • Regional and temporal differences in the associations between cardiovascular disease and its classic risk factors : an analysis of 49 cohorts from 11 European countries
  • 2024
  • Ingår i: European Journal of Preventive Cardiology. - : Oxford University Press. - 2047-4873 .- 2047-4881. ; 31:5, s. 569-577
  • Tidskriftsartikel (refereegranskat)abstract
    • Aims: The regional and temporal differences in the associations between cardiovascular disease (CVD) and its classic risk factors are unknown. The current study examined these associations in different European regions over a 30-year period.Methods and results: The study sample comprised 553 818 individuals from 49 cohorts in 11 European countries (baseline: 1982-2012) who were followed up for a maximum of 10 years. Risk factors [sex, smoking, diabetes, non-HDL cholesterol, systolic blood pressure (BP), and body mass index (BMI)] and CVD events (coronary heart disease or stroke) were harmonized across cohorts. Risk factor-outcome associations were analysed using multivariable-adjusted Cox regression models, and differences in associations were assessed using meta-regression. The differences in the risk factor-CVD associations between central Europe, northern Europe, southern Europe, and the UK were generally small. Men had a slightly higher hazard ratio (HR) in southern Europe (P = 0.043 for overall difference), and those with diabetes had a slightly lower HR in central Europe (P = 0.022 for overall difference) compared with the other regions. Of the six CVD risk factors, minor HR decreases per decade were observed for non-HDL cholesterol [7% per mmol/L; 95% confidence interval (CI), 3-10%] and systolic BP (4% per 20 mmHg; 95% CI, 1-8%), while a minor HR increase per decade was observed for BMI (7% per 10 kg/m2; 95% CI, 1-13%).Conclusion: The results demonstrate that all classic CVD risk factors are still relevant in Europe, irrespective of regional area. Preventive strategies should focus on risk factors with the greatest population attributable risk.
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