Food, Nutrition and Health Program, Faculty of Land and Food Systems, The University of British Columbia.
Centre for Health Services and Policy Research (CHSPR), Faculty of Medicine, The University of British Columbia.
Can J Diet Pract Res. 2024 Mar 1;85(1):25-31. doi: 10.3148/cjdpr-2023-013. Epub 2023 Oct 12.
This study aimed to develop and validate a diet assessment screener - the Dietary Pattern Calculator (DiPaC). A scoping review identified currently available short diet quality assessment tools. Twenty-one articles covering 19 unique tools were included. The current tools mainly focused on individual nutrients or food groups or were developed for a specific population, and few ascertained overall dietary patterns. The 24-hour dietary recalls from the nationally representative Canadian Community Health Survey (CCHS)-Nutrition 2015 ( = 13,958) were used to derive and validate a personalized dietary pattern informed by the scoping review using weighted partial least squares. The dominant dietary pattern in CCHS-Nutrition 2015 was characterized by high consumption of fast foods, carbonated drinks, and salty snacks and low consumption of whole fruits, orange vegetables, other vegetables and juices, whole grains, dark green vegetables, legumes, and soy. The dietary pattern assessment was used to create and evaluate DiPaC following an agile and user-centred research and development approach. DiPaC, which demonstrated high validity and intermediate reliability (internal consistency = 0.47-0.51), is publicly available at https://www.projectbiglife.ca/. DiPaC can be used by the public, clinicians, and researchers for quick and robust assessment of diet quality, providing immediate feedback with the advantage of being easy to implement.
本研究旨在开发和验证一种饮食评估筛查器——饮食模式计算器（DiPaC）。通过范围综述确定了目前现有的简短饮食质量评估工具。共纳入了 21 篇涵盖 19 种独特工具的文章。目前的工具主要集中在个别营养素或食物组，或者是为特定人群开发的，很少确定整体饮食模式。使用来自具有全国代表性的加拿大社区健康调查（CCHS）-营养 2015 年（ = 13958）的 24 小时膳食回忆来推导和验证基于范围综述的个性化饮食模式，使用加权偏最小二乘法。CCHS-Nutrition 2015 中的主要饮食模式特点是快餐、碳酸饮料和咸味零食的摄入量高，而全水果、橙色蔬菜、其他蔬菜和果汁、全谷物、深绿色蔬菜、豆类和大豆的摄入量低。饮食模式评估用于根据敏捷和以用户为中心的研究和开发方法创建和评估 DiPaC。DiPaC 具有较高的有效性和中等的可靠性（内部一致性 = 0.47-0.51），可在 https://www.projectbiglife.ca/ 上公开获取。公众、临床医生和研究人员都可以使用 DiPaC 快速、稳健地评估饮食质量，提供即时反馈，并且易于实施。
