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一种综合分析框架,用于识别健康、有影响力且公平的食品:以 100%橙汁为例。

An integrative analytical framework to identify healthy, impactful, and equitable foods: a case study on 100% orange juice.

机构信息

Bespoke Analytics, LLC, Tallahassee, FL, USA.

Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.

出版信息

Int J Food Sci Nutr. 2023 Sep;74(6):668-684. doi: 10.1080/09637486.2023.2241672. Epub 2023 Aug 7.

Abstract

To identify healthy, impactful, and equitable foods, we combined health scores from six diverse nutrient profiling systems (NPS) into a meta-framework (meta-NPS) and paired this with dietary guideline adherence assessment multilevel regression and poststratification. In a case-study format, a commonly debated beverage formulation - 100% orange juice (OJ) - was chosen to showcase the utility and depth of our framework, systematically scoring high across multiple food systems (i.e. a Meta-Score percentile = 93rd and Stability percentile = 75th) and leading to an expected increase of US dietary fruit guideline adherence by ∼10%. Moreover, the increased adherence varies across the 300 sociodemographic strata, with the benefit patterns being sensitive to absolute or relative quantification of the difference of adherence affected by OJ. In sum, the adaptable, integrative framework we established deepens the science of nutrient profiling and dietary guideline adherence assessment while shedding light on the nuances of defining equitable health effects.

摘要

为了确定健康、有影响力和公平的食物,我们将六种不同的营养成分分析系统(NPS)的健康评分合并到一个元框架(meta-NPS)中,并将其与饮食指南依从性评估多层次回归和后分层相结合。在案例研究的形式中,选择了一种常见的有争议的饮料配方-100%橙汁(OJ)-来展示我们框架的实用性和深度,在多个食品系统中都取得了高分(即元评分百分位数=第 93 位和稳定性百分位数=第 75 位),并有望使美国饮食水果指南的依从率提高约 10%。此外,增加的依从性在 300 个社会人口统计学阶层中存在差异,受益模式对 OJ 影响的依从性的绝对或相对差异的定量敏感。总之,我们建立的适应性、综合性框架深化了营养成分分析和饮食指南依从性评估的科学,同时揭示了公平健康影响定义的细微差别。

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