全球饮食摄入量估计的一致程度:一种消耗的案例
Yutong Chen1, Bingjie Zhou2, Elena N Naumova2
1Division of Nutrition Epidemiology and Data Science, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA. Yutong.chen@tufts.edu.
Journal of public health policy
|April 23, 2024
概括
全球饮食数据库显示,估计的摄入量存在显著差异. 标准化方法对于准确的全球营养监测和有效的减少策略至关重要.
科学领域:
- 营养科学 营养科学
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 全球饮食数据库对于营养监测至关重要.
- 全球饮食数据库 (GDD) 和全球疾病负担 (GBD) 是提供国家饮食摄入量估计的关键存储库.
- 这些数据库使用不同的数据源和建模方法.
研究的目的:
- 为了比较GDD和GBD之间的全国平均每日摄入量估计.
- 评估来自这两个主要全球存储库的摄入数据的一致性和差异.
- 根据这两种数据库,评估不同国家的过度消费的流行情况.
主要方法:
- 对各国日均摄入量进行比较分析.
- 使用描述性统计和布兰德-阿尔特曼方法来评估协议.
- 研究了169个国家的28年期间超过2.3g/天的推摄入量水平的患病率.
主要成果:
- 在GDD和GBD全球平均摄入量估计之间检测到一个显著的36%的差异.
- 全球GDD平均摄入量为2.68 ± 0.74g/天,而GBD估计为3.88 ± 1.15g/天 (p < 0.0001).
- 根据这两个数据库,有104个国家 (61.5%) 超过了摄入量参考水平.
结论:
- 主要全球饮食数据库之间的差异凸显了对标准化估计方法的需求.
- 标准化对于系统和全面的全球摄入量监测至关重要.
- 制定统一的方法对于实施有效的减少消耗的全球战略至关重要.
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