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Sökning: (WFRF:(Gunter Marc J.)) pers:(Peeters Petra H) pers:(Rinaldi Sabina) > (2017)

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1.
  • Sawada, Norie, et al. (författare)
  • The association between adult attained height and sitting height with mortality in the European prospective investigation into cancer and nutrition (EPIC)
  • 2017
  • Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 12:3
  • Tidskriftsartikel (refereegranskat)abstract
    • Adult height and sitting height may reflect genetic and environmental factors, including early life nutrition, physical and social environments. Previous studies have reported divergent associations for height and chronic disease mortality, with positive associations observed for cancer mortality but inverse associations for circulatory disease mortality. Sitting height might be more strongly associated with insulin resistance; however, data on sitting height and mortality is sparse. Using the European Prospective Investigation into Cancer and Nutrition study, a prospective cohort of 409,748 individuals, we examined adult height and sitting height in relation to all-cause and cause-specific mortality. Height was measured in the majority of participants; sitting height was measured in 253,000 participants. During an average of 12.5 years of follow-up, 29,810 deaths (11,931 from cancer and 7,346 from circulatory disease) were identified. Hazard ratios (HR) with 95% confidence intervals (CI) for death were calculated using multivariable Cox regression within quintiles of height. Height was positively associated with cancer mortality (men: Q5.svQ1 = 1.11, 95%CI = 1.00-1.24; women: Q5.svQ1 = 1.17, 95%CI = 1.07-1.28). In contrast, height was inversely associated with circulatory disease mortality (men: Q5.svQ1 = 0.63, 95%CI = 0.56-0.71; women: vs.1Q= 0.81, 95%CI = 0.70-0.93). Although sitting height was not associated with cancer mortality, it was inversely associated with circulatory disease (men: Q5.svQ1 = 0.64, 95%CI = 0.55-0.75; women: vs.1Q= 0.60, 95%CI = 0.49-0.74) and respiratory disease mortality (men: Q5.svQ1 = 0.45, 95%CI = 0.28-0.71; women: vs.1Q= 0.60, 95%CI = 0.40-0.89). We observed opposing effects of height on cancer and circulatory disease mortality. Sitting height was inversely associated with circulatory disease and respiratory disease mortality.
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2.
  • Fortner, Renee T., et al. (författare)
  • Endometrial cancer risk prediction including serum-based biomarkers : results from the EPIC cohort
  • 2017
  • Ingår i: International Journal of Cancer. - : Wiley. - 0020-7136 .- 1097-0215. ; 140:6, s. 1317-1323
  • Tidskriftsartikel (refereegranskat)abstract
    • Endometrial cancer risk prediction models including lifestyle, anthropometric and reproductive factors have limited discrimina-tion. Adding biomarker data to these models may improve predictive capacity; to our knowledge, this has not been investigat-ed for endometrial cancer. Using a nested case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, we investigated the improvement in discrimination gained by adding serum biomarker concentrations to risk estimates derived from an existing risk prediction model based on epidemiologic factors. Serum concentrations of sex steroid hormones, metabolic markers, growth factors, adipokines and cytokines were evaluated in a step-wise backward selec-tion process; biomarkers were retained at p < 0.157 indicating improvement in the Akaike information criterion (AIC). Improvement in discrimination was assessed using the C-statistic for all biomarkers alone, and change in C-statistic from addition of biomarkers to preexisting absolute risk estimates. We used internal validation with bootstrapping (1000-fold) to adjust for over-fitting. Adiponectin, estrone, interleukin-1 receptor antagonist, tumor necrosis factor-alpha and triglycerides were select-ed into the model. After accounting for over-fitting, discrimination was improved by 2.0 percentage points when all evaluated biomarkers were included and 1.7 percentage points in the model including the selected biomarkers. Models including eti-ologic markers on independent pathways and genetic markers may further improve discrimination.
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