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The association between animal protein, plant protein, and their substitution with bladder cancer risk: a pooled analysis of 10 cohort studies.
Eur J Nutr
December 2024
Department of Epidemiology, Maastricht University, Universiteitssingel 40 (Room C5.570), Maastricht, 6229 ER, The Netherlands.
Purpose: Although total dietary protein intake has been associated with bladder cancer (BC) risk, the effect of the origin (plant or animal) and the substitutions remain to be understood. This study aimed to investigate the effect of total dietary protein, animal-based protein, plant-based protein, and their substitutions with each other on the risk of BC using a pooled analysis of 10 cohort studies.
Methods: The study was conducted within the "BLadder cancer Epidemiology and Nutritional Determinants" (BLEND) study, including 10 prospective cohort studies from several European countries, the United Kingdom, and the United States.
Prediagnostic Plasma Nutrimetabolomics and Prostate Cancer Risk: A Nested Case-Control Analysis Within the EPIC Study.
Cancers (Basel)
December 2024
Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO), Bellvitge Biomedical Research Institute (IDIBELL), 08908 Barcelona, Spain.
: 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.
View Article and Find Full Text PDFExamining 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
Department of Clinical and Biological Sciences, University of Turin, Orbassano, Italy.
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.
View Article and Find Full Text PDFMenopause age and type and dementia risk: a pooled analysis of 233 802 women.
Age Ageing
November 2024
The University of Queensland School of Public Health, NHMRC Centre for Research Excellence on Women and Non-communicable Diseases (CRE WaND), Brisbane, Australia.
Objectives: It is not clear whether the association between younger age at menopause and increased risk of dementia is modified by type of menopause. We examined the association of age at menopause or hysterectomy with dementia risk in three groups of women: those with natural menopause, premenopausal bilateral oophorectomy (surgical menopause) or premenopausal hysterectomy (without bilateral oophorectomy).
Study Design: Individual-level data from 233 802 women in five prospective cohort studies (from four countries) were harmonized and pooled.
Nutritional quality of diet characterized by the Nutri-Score profiling system and cardiovascular disease risk: a prospective study in 7 European countries.
Lancet Reg Health Eur
November 2024
Université Sorbonne Paris Nord and Université Paris Cité, INSERM, INRAE, CNAM, Center for Research in Epidemiology and StatisticS (CRESS), Nutritional Epidemiology Research Team (EREN), F-93017, Bobigny, France.
Background: Nutri-Score is a scientifically validated 5-color front-of-pack nutrition label reflecting the nutrient profile of foods. It has been implemented in several European countries on a voluntary basis, pending the revision of the European labeling regulation. Hence, scientific evidence is needed regarding the ability of the nutrient profile underlying the Nutri-Score (uNS-NPS, 2023-updated version) to characterize healthier foods.
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