Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool

There is a wealth of South African scientific literature studying and reporting on dietary polyphenols in research articles and academic literature. The evaluation of data quality is critical to ensure polyphenol data compiled from various scientific journals and academic texts are acceptable in ter...

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Main Authors: Malory R. Jumat, Kwaku G. Duodu, Averalda E. van Graan
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Heliyon
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024162627
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author Malory R. Jumat
Kwaku G. Duodu
Averalda E. van Graan
author_facet Malory R. Jumat
Kwaku G. Duodu
Averalda E. van Graan
author_sort Malory R. Jumat
collection DOAJ
description There is a wealth of South African scientific literature studying and reporting on dietary polyphenols in research articles and academic literature. The evaluation of data quality is critical to ensure polyphenol data compiled from various scientific journals and academic texts are acceptable in terms of compilation standards. This study aimed to develop, validate, and apply a country specific South African dietary polyphenol data quality assessment tool (SADPDQAT). The evaluation tool considered nine evaluation categories with a maximum score of 5. For each literature source assessed, a quality score and confidence code was assigned. Validation analysis revealed generally consistent results between raters with an average percentage agreement of 65 %, no scores falling outside of Bland-Altman limits of agreement and a moderate internal consistency α = 0.533 which was improved to 0.616. Applying the tool to 383 scientific studies showed that most literature obtained a quality score between 70 and 79 % resulting in a confidence code of “B” (n = 166, 43 %) and a score between 60 and 69 % resulting in a confidence code of “C” (n = 125, 33 %). The SADPDQAT can be used to evaluate a variety of dietary polyphenol containing literature and aids in setting priorities for further research in this area.
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spelling doaj-art-320cb8ceb17d47afbc00eeb15b73a5c32025-08-20T02:07:34ZengElsevierHeliyon2405-84402024-11-011022e4023110.1016/j.heliyon.2024.e40231Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment ToolMalory R. Jumat0Kwaku G. Duodu1Averalda E. van Graan2Biostatistics Research Unit, South African Food Data System (SAFOODS) Division, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, PO Box 19070, Tygerberg, 7505, Cape Town, South Africa; Department of Consumer and Food Sciences, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa; Corresponding author. Biostatistics Research Unit, South African Food Data System (SAFOODS) Division, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, PO Box 19070, Tygerberg, 7505, Cape Town, South Africa.Department of Consumer and Food Sciences, University of Pretoria, Private Bag X20, Hatfield, 0028, South AfricaBiostatistics Research Unit, South African Food Data System (SAFOODS) Division, South African Medical Research Council, Francie van Zijl Drive, Parow Valley, PO Box 19070, Tygerberg, 7505, Cape Town, South Africa; Department of Global Health, Division of Human Nutrition, Faculty of Medicine and Health Sciences, Stellenbosch University, PO Box 19063, Francie van Zijl Drive, Tygerberg, 7505, South AfricaThere is a wealth of South African scientific literature studying and reporting on dietary polyphenols in research articles and academic literature. The evaluation of data quality is critical to ensure polyphenol data compiled from various scientific journals and academic texts are acceptable in terms of compilation standards. This study aimed to develop, validate, and apply a country specific South African dietary polyphenol data quality assessment tool (SADPDQAT). The evaluation tool considered nine evaluation categories with a maximum score of 5. For each literature source assessed, a quality score and confidence code was assigned. Validation analysis revealed generally consistent results between raters with an average percentage agreement of 65 %, no scores falling outside of Bland-Altman limits of agreement and a moderate internal consistency α = 0.533 which was improved to 0.616. Applying the tool to 383 scientific studies showed that most literature obtained a quality score between 70 and 79 % resulting in a confidence code of “B” (n = 166, 43 %) and a score between 60 and 69 % resulting in a confidence code of “C” (n = 125, 33 %). The SADPDQAT can be used to evaluate a variety of dietary polyphenol containing literature and aids in setting priorities for further research in this area.http://www.sciencedirect.com/science/article/pii/S2405844024162627
spellingShingle Malory R. Jumat
Kwaku G. Duodu
Averalda E. van Graan
Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
Heliyon
title Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
title_full Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
title_fullStr Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
title_full_unstemmed Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
title_short Development, validation, and application of a South African Dietary Polyphenol Data Quality Assessment Tool
title_sort development validation and application of a south african dietary polyphenol data quality assessment tool
url http://www.sciencedirect.com/science/article/pii/S2405844024162627
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