University of Pennsylvania School of Nursing, Department of Biobehavioral Health Science, Philadelphia, PA, USA.
University of Pennsylvania School of Nursing, Department of Biostatistics, Philadelphia, PA, USA.
Br J Nutr. 2024 Jan 14;131(1):156-162. doi: 10.1017/S0007114523001642. Epub 2023 Jul 31.
Though diet quality is widely recognised as linked to risk of chronic disease, health systems have been challenged to find a user-friendly, efficient way to obtain information about diet. The Penn Healthy Diet (PHD) survey was designed to fill this void. The purposes of this pilot project were to assess the patient experience with the PHD, to validate the accuracy of the PHD against related items in a diet recall and to explore scoring algorithms with relationship to the Healthy Eating Index (HEI)-2015 computed from the recall data. A convenience sample of participants in the Penn Health BioBank was surveyed with the PHD, the Automated Self-Administered 24-hour recall (ASA24) and experience questions. Kappa scores and Spearman correlations were used to compare related questions in the PHD to the ASA24. Numerical scoring, regression tree and weighted regressions were computed for scoring. Participants assessed the PHD as easy to use and were willing to repeat the survey at least annually. The three scoring algorithms were strongly associated with HEI-2015 scores using National Health and Nutrition Examination Survey 2017-2018 data from which the PHD was developed and moderately associated with the pilot replication data. The PHD is acceptable to participants and at least moderately correlated with the HEI-2015. Further validation in a larger sample will enable the selection of the strongest scoring approach.
尽管人们普遍认识到饮食质量与慢性病风险有关，但卫生系统一直难以找到一种用户友好、高效的方法来获取有关饮食的信息。Penn Healthy Diet (PHD) 调查就是为了填补这一空白而设计的。本试点项目的目的是评估患者对 PHD 的体验，验证 PHD 与饮食回忆中相关项目的准确性，并探索与从回忆数据计算得出的健康饮食指数 (HEI)-2015 相关的评分算法。Penn Health BioBank 的参与者采用 PHD、自动自我管理 24 小时回忆 (ASA24) 和体验问题进行了调查。使用 Kappa 评分和 Spearman 相关性比较 PHD 中的相关问题与 ASA24。计算了数值评分、回归树和加权回归的评分。参与者认为 PHD 使用方便，并愿意至少每年重复一次调查。这三种评分算法与 PHD 开发所依据的 2017-2018 年全国健康和营养调查 (National Health and Nutrition Examination Survey) 数据中的 HEI-2015 评分高度相关，与试点复制数据中度相关。PHD 受到参与者的认可，与 HEI-2015 至少中度相关。在更大的样本中进一步验证将能够选择最强的评分方法。
