Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Sant,) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Sant,) in France: Addressing the Issue of Generalizability in E-Epidemiology
Comparison of Dietary Intakes Between a Large Online Cohort Study (Etude NutriNet-Sant,) and a Nationally Representative Cross-Sectional Study (Etude Nationale Nutrition Sant,) in France: Addressing the Issue of Generalizability in E-Epidemiology
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DOI：
10.1093/aje/kww016
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发表时间：
2016-11-01
影响因子：
5
通讯作者：
Hercberg, Serge
中科院分区：
文献类型：
--
作者：
Andreeva, Valentina A.;Deschamps, Valerie;Hercberg, Serge
尽管与传统方法相比有一些优势，但基于网络的研究引起了对普遍性的担忧。为了解决这个问题，我们比较了电子（e）队列研究和全国代表性调查之间的饮食摄入量。我们研究了2009-2010年期间在NutriNet-Sant研究中招募的49，443名年龄在18-74岁之间的法国志愿者，这是一项基于一般人群的电子队列研究。作为参考数据集，国家营养标准研究（恩斯; 2006-2007）是一项横断面研究，全国代表性样本为2，754名18-74岁的法国成年人。对来自三个24小时饮食记录的报告的饮食摄入量进行加权，并通过学生t检验比较两项研究的平均位置，使用> 5%的临界值建立实际有意义的差异。我们观察到碳水化合物、总脂质、蛋白质和总能量的摄入量相似。然而，e队列中水果和蔬菜、纤维、维生素B-6、B-9、C、D和E、铁和镁的摄入量高于恩斯，而e队列中酒精和非酒精饮料的摄入量较低。在维生素A和B-12、锌和钾方面观察到显著的性别特异性差异。真正的摄入量差异，模式效应和志愿者偏见可能有助于解释这些发现。将来，在具有异质饮食暴露的大型e队列中重复使用相同的工具可以用于研究目的，并补充对饮食趋势的组级监测。
Despite some advantages over traditional methods, Web-based studies elicit concerns about generalizability. To address this issue, we compared dietary intakes between an electronic (e-) cohort study and a nationally representative survey. We studied 49,443 French volunteers aged 18-74 years recruited during 2009-2010 in the NutriNet-Sant, Study, a general population-based e-cohort study. The Etude Nationale Nutrition Sant, (ENNS; 2006-2007), a cross-sectional study with a nationally representative sample of 2,754 French adults aged 18-74 years, served as the reference data set. Reported dietary intakes from three 24-hour dietary records were weighted and compared between the two studies via Student t tests for mean location, using a > 5% cutoff for establishing practically meaningful differences. We observed similar intakes as regards carbohydrates, total lipids, protein, and total energy. However, intakes of fruit and vegetables, fiber, vitamins B-6, B-9, C, D, and E, iron, and magnesium were higher in the e-cohort than in the ENNS, while intakes of alcohol and nonalcoholic beverages were lower in the e-cohort. Significant sex-specific differences were observed regarding vitamins A and B-12, zinc, and potassium. True intake differences, mode effects, and volunteer bias might each contribute to explaining the findings. In the future, repeated use of the same tool in large e-cohorts with heterogeneous dietary exposures could serve research purposes and supplement group-level monitoring of dietary trends.