Publications by authors named "C Dahm"
Background: Dietary recommendations have globally shifted towards promoting the consumption of legumes as an environmentally friendly and healthy source of protein. This study investigated the replacement of red and processed meat, poultry or fish for equal amounts of legumes on the risk of non-alcoholic fatty liver disease (NAFLD).
Methods: UK Biobank participants who completed ≥ 2 dietary assessments and had complete covariate information were included in the analyses (N = 124,546).
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.*
: 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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- * The study focused on the relationship between long-term dietary mycotoxin exposure and hepatobiliary cancers in the EPIC cohort, using detailed food occurrence data to assess risks.
- * Findings indicated a significant link between higher intake of the mycotoxin deoxynivalenol (DON) and hepatocellular carcinoma risk, suggesting further research is needed on mycotoxins and their potential health impacts.
Examining causal relationships between educational attainment and type 2 diabetes using genetic analysis: findings from the EPIC-InterAct study through Mendelian randomisation.
J Epidemiol Community Health
December 2024
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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