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Sökning: WFRF:(Faire Ulf de) > Högskolan Dalarna

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1.
  • Carlsson, Axel, et al. (författare)
  • Differences in anthropometric measures in immigrants and Swedish-born individuals : results from two community-based cohort studies
  • 2014
  • Ingår i: Preventive Medicine. - : Elsevier BV. - 0091-7435 .- 1096-0260. ; 69, s. 151-156
  • Tidskriftsartikel (refereegranskat)abstract
    • AIM: To study differences in body mass index (BMI), waist-hip ratio (WHR), waist circumference (WC), sagittal abdominal diameter (SAD), waist-hip-height ratio (WHHR) and percent body fat in immigrants and Swedish-born men and women in two large population-based samples.METHODS: A cross-sectional analysis of 60-year-old individuals, n=4 232. To replicate the results, we also assessed another large independent cohort cross-sectionally, the Malmö Diet and Cancer Study (MDC, n=26 777). The data from both cohorts were collected in the 1990s in Sweden.RESULTS: Significant differences between Finnish-born, Middle Eastern and women from the rest of the world were seen for all anthropometric measures, using Swedish-born women as referent. However, WHHR was the only anthropometric measure that identified all these three groups of immigrant women as different from Swedish-born women with high statistical certainty (p<0.001). Apart from WHHR that identified differences in anthropometry in all immigrant groups of men using Swedish-born men as referent, few significant differences were seen in anthropometry among groups of immigrant men. These finding were observed in both cohorts, and remained after adjustments for smoking, physical activity and educational level.CONCLUSION: The present study confirms previous findings of more obesity among immigrants and is the first to report that WHHR measurements may detect anthropometric differences between different ethnic groups better than other anthropometrical measures.
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2.
  • Carlsson, A. C., et al. (författare)
  • Novel and established anthropometric measures and the prediction of incident cardiovascular disease : a cohort study
  • 2013
  • Ingår i: International Journal of Obesity. - : Springer Science and Business Media LLC. - 0307-0565 .- 1476-5497. ; 37:12, s. 1579-1585
  • Tidskriftsartikel (refereegranskat)abstract
    • OBJECTIVES: The aim of this study was to compare novel and established anthropometrical measures in their ability to predict cardiovascular disease (CVD), and to determine whether they improve risk prediction beyond classical risk factors in a cohort study of 60-year-old men and women. We also stratified the results according to gender to identify possible differences between men and women. Furthermore, we aimed to replicate our findings in a large independent cohort (The Malmo Diet and Cancer study-cardiovascular cohort).METHODS: This was a population-based study of 1751 men and 1990 women, aged 60 years and without CVD at baseline, with 375 incident cases of CVD during 11 years of follow-up. Weight, height, waist circumference (WC), hip circumference and sagittal abdominal diameter (SAD) were measured at baseline. Body mass index (BMI), waist-hip ratio (WHR), waist-hip-height ratio (WHHR), WC-to-height ratio (WCHR) and SAD-to-height ratio (SADHR) were calculated.RESULTS: All anthropometric measures predicted CVD in unadjusted Cox regression models per s.d. increment (hazard ratios, 95% confidence interval), while significant associations after adjustments for established risk CVD factors were noted for WHHR 1.20 (1.08-1.33), WHR 1.14 (1.02-1.28), SAD 1.13 (1.02-1.25) and SADHR 1.17 (1.06-1.28). WHHR had higher increases in C-statistics, and model improvements (likelihood ratio tests (P<0.001)). In the replication study (MDC-CC, n = 5180), WHHR was the only measure that improved Cox regression models in men (P = 0.01).CONCLUSION: WHHR, a new measure reflecting body fat distribution, showed the highest risk estimates after adjustments for established CVD risk factors. These findings were verified in men but not women in an independent cohort.
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3.
  • Ganna, Andrea, et al. (författare)
  • Multilocus Genetic Risk Scores for Coronary Heart Disease Prediction
  • 2013
  • Ingår i: Arteriosclerosis, Thrombosis and Vascular Biology. - : Lippincott Williams & Wilkins. - 1079-5642 .- 1524-4636. ; 33:9, s. 2267-2272
  • Tidskriftsartikel (refereegranskat)abstract
    • Objective-Current guidelines do not support the use of genetic profiles in risk assessment of coronary heart disease (CHD). However, new single nucleotide polymorphisms associated with CHD and intermediate cardiovascular traits have recently been discovered. We aimed to compare several multilocus genetic risk score (MGRS) in terms of association with CHD and to evaluate clinical use. Approach and Results-We investigated 6 Swedish prospective cohort studies with 10 612 participants free of CHD at baseline. We developed 1 overall MGRS based on 395 single nucleotide polymorphisms reported as being associated with cardiovascular traits, 1 CHD-specific MGRS, including 46 single nucleotide polymorphisms, and 6 trait-specific MGRS for each established CHD risk factors. Both the overall and the CHD-specific MGRS were significantly associated with CHD risk (781 incident events; hazard ratios for fourth versus first quartile, 1.54 and 1.52; P<0.001) and improved risk classification beyond established risk factors (net reclassification improvement, 4.2% and 4.9%; P=0.006 and 0.017). Discrimination improvement was modest (C-index improvement, 0.004). A polygene MGRS performed worse than the CHD-specific MGRS. We estimate that 1 additional CHD event for every 318 people screened at intermediate risk could be saved by measuring the CHD-specific genetic score in addition to the established risk factors. Conclusions-Our results indicate that genetic information could be of some clinical value for prediction of CHD, although further studies are needed to address aspects, such as feasibility, ethics, and cost efficiency of genetic profiling in the primary prevention setting.
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