Kronsteiner-Gicevic Selma, Tello Monique, Lincoln L Elizabeth, Kondo Jordan K, Naidoo Uma, Fung Teresa T, Willett Walter C, Thorndike Anne N
J Acad Nutr Diet. 2023 Nov;123(11):1541-1554.e7. doi: 10.1016/j.jand.2023.05.023. Epub 2023 May 25.
Dietary pattern is a determinant of chronic disease, but nonregistered dietitian nutritionist (non-RDN) clinicians rarely assess diet because of barriers such as time constraints and lack of valid, brief diet quality assessment tools.
The study aimed to evaluate the relative validity of a brief diet quality screener using both a numeric scoring system and a simple traffic light scoring system.
A cross-sectional study was conducted using the CloudResearch online platform to compare participants' responses to the 13-item rapid Prime Diet Quality Score screener (rPDQS) and the Automated Self-Administered 24-hour (ASA24) Dietary Assessment Tool.
PARTICIPANTS/SETTING: The study was conducted in July and August 2021 and included 482 adults ≥18 years of age or older sampled to be representative of the US population.
All participants completed the rPDQS and an ASA24; of these, 190 completed a second ASA24 and rPDQS. Responses to rPDQS items were coded using both traffic light (eg, green = healthiest intake, red = least healthy intake) and numeric (eg, consume < 1 time a week, consume ≥ 2 times per day) scoring methods and were compared with food group equivalents and Healthy Eating Index-2015 (HEI-2015) scores estimated from ASA24s.
Deattenuated Pearson correlation coefficients were calculated to account for within-person variation in 24-hour diet recalls.
Overall, 49% of participants were female, 62% were ≥35 years, and 66% were non-Hispanic White, 13% non-Hispanic Black, 16% Hispanic/Latino, and 5% Asian. For both food groups to encourage (eg, vegetables, whole grains) and to consume in moderation (eg, processed meats, sweets), there were statistically significant associations with intakes assessed by rPDQS, using both traffic light and numeric scoring methods. Total rPDQS scores correlated with the HEI-2015, r = 0.75 (95% confidence interval [CI] = 0.65, 0.82).
The rPDQS is a valid, brief diet quality screener that identifies clinically relevant patterns of food intake. Future research is needed to test whether the simple traffic light scoring system is an effective tool that can help non-RDN clinicians provide brief dietary counseling or make referrals to registered dietitian nutritionists, as needed.
饮食模式是慢性病的一个决定因素，但非注册营养师临床医生很少评估饮食，原因是存在时间限制和缺乏有效、简短的饮食质量评估工具等障碍。
本研究旨在评估一种使用数字评分系统和简单交通信号灯评分系统的简短饮食质量筛查工具的相对有效性。
使用CloudResearch在线平台进行了一项横断面研究，以比较参与者对13项快速主要饮食质量评分筛查工具（rPDQS）和自动自我管理24小时（ASA24）饮食评估工具的反应。
参与者/设置：该研究于2021年7月和8月进行，纳入了482名18岁及以上的成年人，这些参与者是从美国人群中抽样选取的，具有代表性。
所有参与者都完成了rPDQS和ASA24；其中，190人完成了第二次ASA24和rPDQS。使用交通信号灯（例如，绿色=最健康的摄入量，红色=最不健康的摄入量）和数字（例如，每周食用次数<1次，每天食用次数≥2次）评分方法对rPDQS项目的反应进行编码，并与根据ASA24估计的食物组当量和健康饮食指数-2015（HEI-2015）得分进行比较。
计算了去衰减的Pearson相关系数，以考虑24小时饮食回忆中的个体内差异。
总体而言，49%的参与者为女性，62%的参与者年龄≥35岁，66%为非西班牙裔白人，13%为非西班牙裔黑人，16%为西班牙裔/拉丁裔，5%为亚洲人。对于鼓励摄入的食物组（例如，蔬菜、全谷物）和应适量摄入的食物组（例如，加工肉类、甜食），使用交通信号灯和数字评分方法，rPDQS评估的摄入量之间均存在统计学上的显著关联。rPDQS总分与HEI-2015相关，r = 0.75（95%置信区间[CI]=0.65，0.82）。
rPDQS是一种有效的简短饮食质量筛查工具，可识别与临床相关的食物摄入模式。未来需要进行研究，以测试简单的交通信号灯评分系统是否是一种有效的工具，能够帮助非注册营养师临床医生根据需要提供简短的饮食咨询或转介给注册营养师。
