| Autor: |
Compher CW; University of Pennsylvania School of Nursing, Department of Biobehavioral Health Science, Philadelphia, PA, USA., Quinn R; University of Pennsylvania School of Nursing, Department of Biostatistics, Philadelphia, PA, USA., Haslam R; University of Dublin, School of Medicine, Dublin, Republic of Ireland., Bader E; University of Pennsylvania, Philadelphia, PA, USA., Weaver J; University of Pennsylvania Health System, Penn Medicine Biobank, Philadelphia, PA, USA., Dudek S; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Ritchie MD; Department of Genetics and Institute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA., Lewis JD; University of Pennsylvania Perelman School of Medicine, Division of Gastroenterology and Hepatology, Philadelphia, PA, USA., Wu GD; University of Pennsylvania Perelman School of Medicine, Division of Gastroenterology and Hepatology, Philadelphia, PA, USA. |
| Abstrakt: |
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. |
