Diversity of dietary protein patterns across Europe - Impact on nutritional quality and environmental sustainability

欧洲膳食蛋白质模式的多样性——对营养质量和环境可持续性的影响

阅读:2

Abstract

Transitioning from animal-based to plant-rich diets could potentially improve both human and planetary health, but a thorough understanding of the protein component in the diet is essential. This research aimed to identify dietary protein patterns in the European adult population and evaluate differences in nutritional quality and environmental sustainability. Individual-level food consumption data were obtained from 25 European countries (40,101 participants, 18-64 years), available from the EFSA Comprehensive European Food Consumption Database. We applied statistical clustering to classify individuals according to their consumption of 24 protein source food groups. The patterns were evaluated for nutrient requirements, the Nutrient Rich Diet (NRD) 15.3 score, greenhouse gas emissions (GHGE) and land use (LU). Six patterns emerged: Common (42.2%), Fast-food (19.5%), Traditional (14.8%), Health-conscious (12.0%), Milk-rich (9.8%) and Plant-forward (1.6%), with country-specific variations. Most patterns obtained 64-69% of their protein intake from animal products, except for the Plant-forward pattern (52%). The Plant-forward pattern achieved the highest NRD15.3 (+11%), and lowest GHGE (-20%) and LU (-25%) compared to the population average and was most commonly consumed in Austria, Finland, Spain, Portugal and Belgium (4.1-4.5%). The Health-conscious pattern also scored high in nutritional quality (NRD15.3: +9%), whereas the Traditional pattern showed higher environmental impacts (GHGE: +5%, LU: +7%). These findings highlight the diversity of dietary protein patterns across Europe, each with unique nutritional profiles and varying environmental impacts. The Plant-forward pattern provides a promising example for healthier, more sustainable diets, but tailored approaches that consider the cultural and demographic contexts of individual countries are needed to optimize health and environmental outcomes for all patterns.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。