Publications by authors named "V A Katzke"

Background: Association between dietary factors and the risk of developing inflammatory bowel disease (IBD) has been studied extensively. However, identification of deleterious dietary patterns merits further study.

Aim: To investigate the risk of developing Crohn's disease (CD) and ulcerative colitis (UC) according to the inflammatory score of the diet (ISD) in the multinational European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

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Article Synopsis
  • Previous models for predicting weight gain haven't been very effective, leading researchers to explore both traditional environmental factors and genetic markers to enhance accuracy.* -
  • A study involving nearly 246,000 participants found that environmental factors provided good predictive ability for weight gain, while genetic models performed poorly, especially at mid-late adulthood.* -
  • The research suggests that environmental factors should be incorporated into prevention strategies, and that genetic factors may be more relevant in predicting weight gain earlier in life.*
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Aim was to investigate to what extent cognitive functioning differs by three socioeconomic conditions: low income, being without employment, and living alone. A total of N = 158,144 participants of the population-based German National Cohort (NAKO) provided data on socioeconomic conditions and completed cognitive tests. Multivariable confounder-adjusted regression analyses indicated that cognitive functioning was lower in those with low income (b = -0.

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: Nutrimetabolomics may reveal novel insights into early metabolic alterations and the role of dietary exposures on prostate cancer (PCa) risk. We aimed to prospectively investigate the associations between plasma metabolite concentrations and PCa risk, including clinically relevant tumor subtypes. : We used a targeted and large-scale metabolomics approach to analyze plasma samples of 851 matched PCa case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

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Introduction: Observational studies have shown that more educated people are at lower risk of developing type 2 diabetes (T2D). However, robust study designs are needed to investigate the likelihood that such a relationship is causal. This study used genetic instruments for education to estimate the effect of education on T2D using the Mendelian randomisation (MR) approach.

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