Comparing the web-based and traditional self-reported 24-hour dietary recall data in the PakNutriStudy.
| Title: | Comparing the web-based and traditional self-reported 24-hour dietary recall data in the PakNutriStudy. |
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| Authors: | Tanweer A; Department of Nutrition and Dietetics, School of Health Sciences, University of Management and Technology, Health Sciences Campus, Raiwind Road, Lahore, Pakistan. Electronic address: afifa.tanweer@umt.edu.pk.; Zia M; Department of Nutrition and Dietetics, School of Health Sciences, University of Management and Technology, Health Sciences Campus, Raiwind Road, Lahore, Pakistan.; Riaz K; Department of Nutrition and Dietetics, School of Health Sciences, University of Management and Technology, Health Sciences Campus, Raiwind Road, Lahore, Pakistan.; Mushtaq H; Department of Nutrition and Dietetics, School of Health Sciences, University of Management and Technology, Health Sciences Campus, Raiwind Road, Lahore, Pakistan.; Siddique M; Department of Nutrition and Dietetics, School of Health Sciences, University of Management and Technology, Health Sciences Campus, Raiwind Road, Lahore, Pakistan.; Imran S; Queen Mary Graduate College, Lahore, Pakistan.; Humayun A; Department of Public Health and Community Medicine, Shaikh Zayed Medical Complex, Lahore, Pakistan.; Hussain ZU; Centre for Applied Chemistry, School of Chemistry, University of the Punjab, Lahore, Pakistan. |
| Source: | Computer methods and programs in biomedicine [Comput Methods Programs Biomed] 2023 Oct; Vol. 240, pp. 107682. Date of Electronic Publication: 2023 Jun 28. |
| Publication Type: | Journal Article |
| Language: | English |
| Journal Info: | Publisher: Elsevier Scientific Publishers Country of Publication: Ireland NLM ID: 8506513 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-7565 (Electronic) Linking ISSN: 01692607 NLM ISO Abbreviation: Comput Methods Programs Biomed Subsets: MEDLINE |
| Imprint Name(s): | Publication: Limerick : Elsevier Scientific Publishers; Original Publication: Amsterdam : Elsevier Science Publishers, c1984- |
| MeSH Terms: | Nutrition Assessment* ; Diet*; Humans ; Self Report ; Follow-Up Studies ; Cross-Sectional Studies ; Internet |
| Abstract: | Background: The flaws in dietary assessment methods can generate misleading information and thus may impact on the interventions planned based on that information. Context specific digitalization of dietary assessment tools is a potential way forward to reduce biases and resources involved in data handling.; Methods: Two versions of Twenty-Four Hour Recall (24HR) (traditional [24HR Ver-01] and digital [24HR Ver-02]) were tested for data agreement and feasibility by gathering cross sectional paired data on both the versions from 102 participants (18-25 years age). The web based 24HR was setup using the system of Intake24 (New Castle University) with incorporation of South Asian food data base for beverages.; Results: The data sets obtained from 24HR Ver-01 and 24HR Ver-02 on beverage consumption (food items as well as portion sizes) were compared for agreement. The highest percentage of agreement of food item reporting between 24HR Ver-01 and 24HR Ver-01 was during the lunch time. The average kappa value (κ =0.375833) for all the meals indicated a fair agreement betweenVer-01 and 24HR Ver-02 The correlation of portion sizes reported using 24HR Ver-01 and 24 HR Ver-02 was statisticallysignificant for morning snack, lunch and dinner (r = 0.465; r = 0.324; r = 0.407 respectively). According to Bland Altman plot, least agreement between the two versions was found in the portion sizes reported for morning snacks. Data collectors found 24 HR Ver-02 easier in terms of data processing but it was regarded time taking and less convenient by the participants.; Conclusion: The Intake 24 (digital version of 24HR) can be a preferred tool of data collection as the data collected through it may reach fairly good levels of accuracy. Future directions for research like conducting a follow up study with cross over design, expanding the study using food items other than beverages, and testing the digital dietary assessment tool against an objective gold standard of dietary intake can be helpful in reaching more conclusive evidence.; (Copyright © 2023. Published by Elsevier B.V.) |
| Competing Interests: | Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. |
| Contributed Indexing: | Keywords: 24-hour recall; Dietary assessment; Digitalization; Intake 24; Nutritional assessment |
| Entry Date(s): | Date Created: 20230710 Date Completed: 20230829 Latest Revision: 20230829 |
| Update Code: | 20260130 |
| DOI: | 10.1016/j.cmpb.2023.107682 |
| PMID: | 37429249 |
| Database: | MEDLINE |
Journal Article