Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Eur J Epidemiol. 2019 Apr;34(4):319-325. doi: 10.1007/s10654-019-00488-4. Epub 2019 Feb 6.
Ioannidis has stated that the field of nutritional epidemiology has generated confusion and numerous implausible findings and is in need of radical reform. One of the reforms he proposes is to conduct analyses that take into account the "totality for all nutritional factors measured". This approach is based on isolating and reducing diet into numerous independent variables with little regard to prior knowledge or the interrelations among dietary components, and relying on a "discovery" approach. This method, akin to genomewide association studies (GWAS), would involve very large sample sizes, small associations, no prior knowledge, and multiple testing considerations. This method is contrary to the more traditional hypothesis generating and testing approach built on all types of evidence. This commentary will contrast how suitable these two approaches are to study diet and disease.
约安尼季斯曾指出,营养流行病学领域产生了混淆和许多不可信的发现,因此需要进行彻底改革。他提出的改革之一是进行分析,考虑到“所有测量的营养因素的总和”。这种方法基于将饮食分离并简化为数众多的独立变量,几乎不考虑先验知识或饮食成分之间的相互关系,并依赖于“发现”方法。这种方法类似于全基因组关联研究 (GWAS),需要非常大的样本量、小的关联、没有先验知识和多重测试考虑。这种方法与基于各种证据的更传统的假设生成和测试方法背道而驰。本文将对比这两种方法在研究饮食与疾病方面的适宜性。