Department of Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Pediatrics. 2011 Jun;127(6):e1575-84. doi: 10.1542/peds.2009-2206. Epub 2011 May 16.
The United Kingdom and European Union recently restricted the use of artificial food colorings (AFCs) to improve the health of children. These decisions provide an interesting case study of the role of scientific evidence in the assessment of food additives and risk to children's health and formulation of food policy. Although there continues to be uncertainty concerning the link between AFCs and attention-deficit/hyperactivity disorder (ADHD), policy decisions have been made that have far-reaching implications. In addition, publicity surrounding the policy changes may shape public perceptions concerning effective management of ADHD. We believe that the balance of existing evidence neither refutes nor supports the link between AFCs and ADHD, which highlights the need for carefully designed studies to further investigate the link between AFCs and ADHD. In this article we describe a model for such studies. In developing our model, we drew from current investigative standards in ADHD research, such as those used in the landmark Multimodal Treatment Study of Children With ADHD. These standards encompass methodologic considerations including sample selection, outcome assessment, and data analyses. It is our hope that this model research methodology may prove valuable in addressing design considerations in future studies of AFCs and ADHD with the goal of producing reliable data that will enable policy-makers to better formulate effective, evidence-based food-policy decisions.
英国和欧盟最近限制了人工食品着色剂(AFCs)的使用,以改善儿童的健康。这些决策为科学证据在评估食品添加剂和儿童健康风险以及制定食品政策方面的作用提供了一个有趣的案例研究。尽管人们对 AFCs 与注意力缺陷/多动障碍(ADHD)之间的联系仍然存在不确定性,但已经做出了具有深远影响的政策决策。此外,围绕政策变化的宣传可能会影响公众对有效管理 ADHD 的看法。我们认为,现有证据的平衡既没有反驳也没有支持 AFCs 与 ADHD 之间的联系,这突出表明需要精心设计研究来进一步调查 AFCs 与 ADHD 之间的联系。在本文中,我们描述了这样的研究模型。在制定我们的模型时,我们借鉴了 ADHD 研究中的当前调查标准,例如在 ADHD 标志性的多模式治疗研究中使用的标准。这些标准包括方法学考虑因素,如样本选择、结果评估和数据分析。我们希望这种模型研究方法对于解决未来 AFCs 和 ADHD 研究中的设计考虑因素具有价值,目标是生成可靠的数据,使决策者能够更好地制定基于证据的有效食品政策决策。