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Development and evaluation of a web-based diet quality screener for vegans (VEGANScreener): a cross-sectional, observational, multicenter, clinical study

. 2024 ; 11 () : 1438740. [epub] 20241022

Status PubMed-not-MEDLINE Language English Country Switzerland Media electronic-ecollection

Document type Journal Article

Consumption of plant-based diets, including vegan diets, necessitates attention to the quality of the diet for the prevention and early detection of nutritional deficiencies. Within the VEGANScreener project, a unique brief screening tool for the assessment and monitoring of diet quality among vegans in Europe was developed. To provide a standardized tool for public use, a clinical study will be conducted to evaluate the VEGANScreener against a reference dietary assessment method and nutritional biomarkers. An observational study is set to include 600 participants across five European sites - Belgium, Czech Republic, Germany, Spain, and Switzerland. In total, 400 self-reported vegans (≥2 years on a vegan diet), and 170 self-reported omnivore controls will be examined, aged between 18 and 65 years, with males and females being equally represented in a 1:1 ratio for two age groups (18-35 and 36-65 years). Participants with diseases affecting metabolism and intestinal integrity will be excluded. The clinical assessment will include a structured medical history, along with taking blood pressure and anthropometric measurements. Blood and urine will be sampled and analyzed for a set of dietary biomarkers. Metabolomic analyses will be conducted to explore potential novel biomarkers of vegan diet. Moreover, saliva samples will be collected to assess the metabolome and the microbiome. Participants will receive instructions to complete a nonconsecutive 4-day diet record, along with the VEGANScreener, a socio-demographic survey, a well-being survey, and a FFQ. To evaluate reproducibility, the VEGANScreener will be administered twice over a three-weeks period. Among vegans, the construct validity and criterion validity of the VEGANScreener will be analyzed through associations of the score with nutrient and food group intakes, diet quality scores assessed from the 4-day diet records, and associations with the dietary biomarkers. Secondary outcomes will include analysis of dietary data, metabolomics, and microbiomes in all participants. Major nutrient sources and variations will be assessed in the sample. Exploratory metabolomic analysis will be performed using multivariable statistics and regression analysis to identify novel biomarkers. Standard statistical models will be implemented for cross-sectional comparisons of geographical groups and vegans versus omnivores.

CIBERobn Instituto de Salud Carlos 3 Madrid Spain

Department Nutrition and Dietetics Faculty of Health Professions Bern University of Applied Sciences Bern Switzerland

Department of Epidemiology Center for Public Health Medical University of Vienna Vienna Austria

Department of Epidemiology Harvard T H Chan School of Public Health Boston MA United States

Department of Internal Medicine 3rd Faculty of Medicine Charles University and Kralovske Vinohrady University Hospital and 3rd Faculty of Medicine Charles University Prague Czechia

Department of Nutritional Sciences Faculty of Life Sciences University of Vienna Vienna Austria

Department of Preventive Medicine and Public Health University of Navarra IdiSNA Pamplona Spain

Department of Social and Preventive Medicine Center for Public Health Medical University of Vienna Vienna Austria

Faculty of Economics and Business Department of Public Health and Primary Care Ghent University Ghent Belgium

Faculty of Medicine and Health Sciences Department of Public Health and Primary Care Ghent University Ghent Belgium

HOGENT University of Applied Sciences and Arts Ghent Belgium

Institute for Clinical and Experimental Medicine Prague Czechia

Institute for Molecular Medicine Finland University of Helsinki Helsinki Finland

Institute of Microbiology of the CAS Prague Czechia

Laboratory of Nutrition and Metabolic Epigenetics Institute of Food Nutrition and Health ETH Zürich Zürich Switzerland

Research Institute for Plant Based Nutrition Biebertal Germany

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