关于饮食模式和慢性疾病风险的基于网络的前性研究NutriNet-Brasil:队列资料
Caroline Dos Santos Costa1, Kamila Tiemann Gabe1,2, Francine Silva Dos Santos1,3
1Center for Epidemiological Studies in Health and Nutrition, University of São Paulo, São Paulo, Brazil.
BMJ open
|July 25, 2025
概括
在NutriNet-巴西队列研究中,使用了成本效益高的基于网络的方法来追踪饮食质量和非传染性疾病 (NCD) 风险. 这种创新方法有效地收集有关超加工食品消费和健康结果的数据.
科学领域:
- 公共卫生和营养流行病学流行病学
- 数字健康和队列研究
- 食品科学与加工 食品科学与加工
背景情况:
- 非传染性疾病 (NCD) 构成了全球重大健康挑战,饮食质量,特别是超加工食品摄入量,与风险增加有关.
- 传统的队列研究面临成本和后勤方面的挑战,需要创新的数据收集方法.
- 了解食品加工对健康的影响对于公共卫生干预至关重要.
研究的目的:
- 建立NutriNet-巴西队列,这是一个基于网络的平台,用于研究巴西的饮食质量和非传染性疾病.
- 开发和验证专注于食品加工水平的新型饮食评估工具.
- 促进经济高效,大规模的数据收集和对饮食模式和健康结果的长期跟踪.
主要方法:
- 自2020年1月以来,通过在线和大众媒体活动在巴西各地招募具有互联网接入的成年参与者 (≥18岁).
- 使用自行管理的在线问卷以获取有关饮食摄入量,健康状况和决定因素的综合数据.
- 应用Nova分类系统来按加工级别对食品进行分类,支持Nova24h和Nova24hScreener等创新工具.
主要成果:
- 超过88,000名参与者已经完成了最初的在线调查问卷.
- 该队列主要由女性 (79.9%) 和受过高等教育的人口 (67.9%) 组成.
- 基于网络的饮食评估工具在捕捉与食品加工相关的饮食模式方面表现良好.
结论:
- 营养网-巴西队列代表了食品加工和健康研究的开创性基于网络的方法.
- 开发的方法和工具为大规模的流行病学研究提供了实用和有效的解决方案.
- 未来的多学科分析将利用这一队列来为饮食和NCD预防的公共卫生政策提供信息.
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