协调全球监测的饮食数据集:全球饮食数据库的方法和发现
Dimitra Karageorgou1, Laura Lara Castor1, Victoria Padula de Quadros2
1Friedman School of Nutrition Science and Policy, Tufts University, 150 Harrison Ave, Boston, MA02111, USA.
Public health nutrition
|January 18, 2024
概括
全球饮食数据库协调了来自52项调查的全球个人饮食数据. 这些标准化数据支持全球营养研究和规划.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 数据科学数据科学数据科学
背景情况:
- 个人级别的饮食数据对于理解营养至关重要.
- 需要全球努力来协调各种饮食调查数据.
- 以前的数据协调方法是有限的.
研究的目的:
- 扩大全球协调和传播个人级别饮食数据的方法.
- 创建一个标准化,全面的全球饮食数据库.
主要方法:
- 开发了全面的方法来简化24小时召回和食品记录的协调.
- 使用的FoodEx2用于标准化的食品分类.
- 与粮农组织和欧洲食品安全局合作,实现全球数据协调.
主要成果:
- 统一了来自52个不同的国家代表性饮食调查的数据.
- 包括来自不同收入水平的国家的调查.
- 在低收入和中低收入国家发现营养报告较低.
结论:
- 不同的饮食数据可以协调成细粒度,标准化的数据集.
- 全球饮食数据库支持全球营养研究和能力建设.
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