一个新的基于网络的24小时饮食回忆工具,符合Nova食品加工分类:描述和评估
Daniela Neri1, Kamila Tiemann Gabe1, Caroline Dos Santos Costa1
1Center for Epidemiological Studies in Health and Nutrition, University of Sao Paulo (Nupens/USP), Sao Paulo, Brazil.
Public health nutrition
|August 7, 2023
概括
诺瓦24小时工具准确地估计了诺瓦食品组的饮食贡献,显示了巴西队列中与传统方法的良好一致. 这种基于网络的方法提供了一种可靠的方式来评估食物摄入模式.
科学领域:
- 营养科学 营养科学
- 饮食评估方法 饮食评估方法
- 公共卫生 公共卫生
背景情况:
- 准确的饮食评估对于了解人口健康和食物消费模式至关重要.
- 诺瓦分类系统根据加工方式对食品进行分类,有助于分析饮食质量.
- 基于Web的工具为有效和可扩展的饮食数据收集提供了潜力.
研究的目的:
- 为了评估Nova24h,一个新的基于Web的自行完成的24小时饮食回忆工具.
- 评估Nova24h与面试官领导的标准24小时回忆之间的协议,以估计Nova食品组对总能量摄入量的贡献.
主要方法:
- 在巴西进行的一项全国性成年人队列研究 (NutriNet Brasil队列研究),共有186名参与者.
- 通过使用Nova24h和采访者领导的24小时回忆来比较四个Nova食品组 (未加工/微加工,加工的食原料,加工,超加工) 的饮食能量贡献.
- 统计分析包括平均贡献的比较和使用类内相关系数和PABAK.的协议评估.
主要成果:
- 在Nova24h和参考工具之间的四个Nova食品组的平均能量贡献中没有发现统计学上显著的差异.
- 在每个Nova组的个人估计中,观察到中等到良好的一致性 (类内相关系数0.54-0.78).
- 实质性到几乎完美的协议 (PABAK 0.69-0.81) 被发现在参与者通过他们的贡献五分之一对每个Nova组的排名.
结论:
- 诺瓦24小时工具是NutriNet巴西队列中诺瓦食品组的饮食能量贡献估计的合适方法.
- 建议进行进一步的研究,以验证Nova24h在不同人群中的性能.
- 基于网络的饮食评估工具显示出大规模营养流行病学的前景.
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