Quan Shiwen, Zhu Wenbo
Rural Development Institute, Chinese Academy of Social Sciences, Beijing 100732, China.
Foods. 2025 May 15;14(10):1759. doi: 10.3390/foods14101759.
Dietary diversity is essential for healthy diets and crucial for academic research and policymaking. However, existing measures often lack conceptual clarity, which limits their interpretability. This study proposes a new framework that classifies dietary diversity indices along two dimensions: whether they account for nutritional functional dissimilarity and whether they incorporate dietary guidelines. Based on this framework, four index types are defined. Using per capita consumption data for 14 food categories across countries from 1981 to 2022, eight indices were applied to assess global dietary diversity and its variation across 13 dietary patterns. The results show a general upward trend in global dietary diversity and dietary quality, with notable regional disparities influenced by dietary patterns, resources, culture, and socioeconomic factors. This study also finds non-linear links between dietary diversity, income, and urbanization, consistent with Bennett's Law and empirical evidence. These findings underscore the utility of the proposed indices in capturing complex dietary dynamics. This study recommends context-specific use of indices, policy attention in developing countries to maintain diversity during dietary transitions, and the development of more inclusive dietary guidelines that emphasize not only variety but also balance and nutritional function.
饮食多样性对于健康饮食至关重要,对学术研究和政策制定也至关重要。然而,现有的衡量方法往往缺乏概念清晰度,这限制了它们的可解释性。本研究提出了一个新框架,该框架从两个维度对饮食多样性指数进行分类:它们是否考虑了营养功能差异以及是否纳入了饮食指南。基于这个框架,定义了四种指数类型。利用1981年至2022年各国14种食物类别的人均消费数据,应用八个指数来评估全球饮食多样性及其在13种饮食模式中的变化。结果显示全球饮食多样性和饮食质量总体呈上升趋势,受饮食模式、资源、文化和社会经济因素影响存在显著的地区差异。本研究还发现饮食多样性、收入和城市化之间存在非线性联系,这与贝内特法则和实证证据一致。这些发现强调了所提出的指数在捕捉复杂饮食动态方面的实用性。本研究建议根据具体情况使用指数,发展中国家的政策应关注在饮食转变过程中保持多样性,并制定更具包容性的饮食指南,不仅强调种类,还强调平衡和营养功能。