Unité de Recherche en Epidémiologie Nutritionnelle, UMR U 557 Inserm/U 1125 Inra/CNAM/Université Paris, France.
BMC Public Health. 2010 May 11;10:242. doi: 10.1186/1471-2458-10-242.
Nutrition-related chronic diseases such as cardiovascular diseases and cancer are of multiple origin, and may be due to genetic, biologic, behavioural and environmental factors. In order to detangle the specific role of nutritional factors, very large population sample cohort studies comprising precisely measured dietary intake and all necessary information for accurately assessing potential confounding factors are needed. Widespread use of internet is an opportunity to gradually collect huge amounts of data from a large sample of volunteers that can be automatically verified and processed. The objectives of the NutriNet-Santé study are: 1) to investigate the relationship between nutrition (nutrients, foods, dietary patterns, physical activity), mortality and health outcomes; and 2) to examine the determinants of dietary patterns and nutritional status (sociological, economic, cultural, biological, cognitive, perceptions, preferences, etc.), using a web-based approach.
METHODS/DESIGN: Our web-based prospective cohort study is being conducted for a scheduled follow-up of 10 years. Using a dedicated web site, recruitment will be carried out for 5 years so as to register 500 000 volunteers aged >/= 18 years among whom 60% are expected to be included (having complete baseline data) and followed-up for at least 5 years for 240 000 participants. Questionnaires administered via internet at baseline and each year thereafter will assess socio-demographic and lifestyle characteristics, anthropometry, health status, physical activity and diet. Surveillance of health events will be implemented via questionnaires on hospitalisation and use of medication, and linkage with a national database on vital statistics. Biochemical samples and clinical examination will be collected in a subsample of volunteers.
Self-administered data collection using internet as a complement to collection of biological data will enable identifying nutrition-related risks and protective factors, thereby more clearly elucidating determinants of nutritional status and their interactions. These are necessary steps for further refining nutritional recommendations aimed at improving the health status of populations.
心血管疾病和癌症等与营养相关的慢性病具有多种病因，可能与遗传、生物、行为和环境因素有关。为了厘清营养因素的具体作用，需要进行包含精确测量饮食摄入且所有必要信息以准确评估潜在混杂因素的大规模人群样本队列研究。互联网的广泛应用为逐渐从大量志愿者中收集大量数据提供了机会，这些数据可以自动验证和处理。NutriNet-Santé 研究的目的是：1）研究营养（营养素、食物、饮食模式、体力活动）与死亡率和健康结果之间的关系；2）使用基于网络的方法，研究饮食模式和营养状况的决定因素（社会学、经济学、文化、生物学、认知、感知、偏好等）。
方法/设计：我们的基于网络的前瞻性队列研究计划进行 10 年的随访。通过专门的网站，将在 5 年内进行招募，以便在 5 年内招募 50 万名年龄≥18 岁的志愿者，预计其中 60%将被纳入（具有完整的基线数据），并对 24 万名参与者进行至少 5 年的随访。通过互联网在基线和此后每年一次的问卷调查，评估社会人口统计学和生活方式特征、人体测量学、健康状况、体力活动和饮食。通过住院和用药情况问卷以及与国家生命统计数据库的链接，对健康事件进行监测。在志愿者的亚组中收集生化样本和临床检查。
使用互联网进行自我管理的数据收集可以补充生物数据的收集，有助于确定与营养相关的风险和保护因素，从而更清楚地阐明营养状况的决定因素及其相互作用。这些是进一步完善旨在改善人群健康状况的营养建议的必要步骤。
