Is this food healthy? Reframing nutrition evidence through counterfactual comparisons.
这种食物健康吗？通过反事实比较重新审视营养证据
Miguel López-Moreno, José López-Gil (2026) Is this food healthy? Reframing nutrition evidence through counterfactual comparisons. Clin Nutr (IF: 7.4) 1 区 61 106655
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Abstract
Nutrition science frequently produces conclusions that appear inconsistent or context dependent, contributing to uncertainty in dietary recommendations. Many debates framed around questions such as whether a specific food is "healthy" implicitly assume that foods exert intrinsic effects independent of dietary context. However, because diet is inherently compositional, increasing intake of one food necessarily implies decreasing another, meaning that dietary effects represent substitution contrasts rather than isolated exposures. This article aims to critically evaluate how inadequate specification of counterfactual contrasts and comparators in nutrition research limits causal interpretation in evidence synthesis, and to outline methodological approaches based on causal inference and network meta-analysis (NMA) to improve interpretability. Drawing on the potential outcomes framework, we propose that meaningful causal interpretation requires explicitly defining the comparator ("incomparison with that?") and ensuring that exposures correspond to well-defined interventions consistent with the consistency assumption. In this context, NMA offers a methodological framework that preserves comparator structure by jointly modeling multiple competing alternatives, thereby aligning more closely with the relational nature of dietary interventions and causal inference logic. Practical recommendations are provided to improve future research, including explicit specification of counterfactual contrasts, clearer definition of dietary exposures, transparent reporting of substitution context and energy balance, and appropriate use of NMA when multiple alternatives exist. We conclude that improving nutrition evidence synthesis does not require abandoning meta-analysis but rather reframing research questions and analytical strategies around clearly defined causal contrasts.Copyright © 2026 The Author(s). Published by Elsevier Ltd.. All rights reserved.
营养科学经常得出看似矛盾或依赖于具体情境的结论，导致膳食建议的不确定性。许多围绕“某种食物是否健康”等问题的争论，都隐含地假设食物本身具有独立于膳食情境的内在效应。然而，由于膳食本质上是组成性的，增加一种食物的摄入必然意味着减少另一种食物的摄入，这意味着膳食效应代表的是替代对比，而非孤立的暴露。本文旨在批判性地评估营养研究中反事实对比和比较对象定义不足如何限制证据综合中的因果解释，并概述基于因果推断和网络荟萃分析（NMA）的方法，以提高可解释性。基于潜在结果框架，我们提出，有意义的因果解释需要明确定义比较对象（“与此相比？”），并确保暴露与符合一致性假设的明确定义的干预措施相对应。在此背景下，网络荟萃分析（NMA）提供了一个方法论框架，它通过联合建模多个相互竞争的替代方案来保留比较结构，从而更紧密地契合膳食干预的关系本质和因果推断逻辑。本文提出了一些改进未来研究的实用建议，包括明确规定反事实对比、更清晰地定义膳食暴露、透明地报告替代背景和能量平衡，以及在存在多个替代方案时合理使用NMA。我们得出结论，改进营养证据综合并不需要放弃荟萃分析，而是需要围绕明确定义的因果对比重新构建研究问题和分析策略。版权所有 © 2026 作者。由 Elsevier Ltd. 出版。保留所有权利。
Links
http://www.ncbi.nlm.nih.gov/pubmed/41980292http://dx.doi.org/10.1016/j.clnu.2026.106655
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