Evidence map›Paper›PMID 39252140›Full record

ArticleBMC nutrition2024

Development and validation of food frequency questionnaire screener software for sodium intake among palestinian population.

Razan Awwad, Radwan Qasrawi, Reem Abu Alwafa, Lubnah Kharaz, Manal Badrasawi

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Article in BMC nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Razan AwwadNutrition and food technology, Faculty of Agriculture and veterinary medicine, An-Najah National University, Nablus, Palestine.
Radwan QasrawiDepartment of Computer Sciences, Al Quds University, Jerusalem, Palestine.
Reem Abu AlwafaNutrition and food technology, Faculty of Agriculture and veterinary medicine, An-Najah National University, Nablus, Palestine.
Lubnah KharazMedicine and Health Science College, An-Najah National University, Nablus, Palestine.
Manal BadrasawiNutrition and food technology, Faculty of Agriculture and veterinary medicine, An-Najah National University, Nablus, Palestine. m.badrasawi@najah.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh sodium intake has been linked to negative health effects, including cardiovascular and renal diseases. Traditional dietary sodium assessment methods are time-consuming and subjected to errors. Using technology may increase the efficiency and accuracy of dietary assessment. The objective of this study is to develop and validate a food frequency questionnaire (FFQ) screener using software to assess sodium intake among the Palestinian population. METHODOLOGY: The study was conducted in four phases. In Phase 1, Palestinian foods were categorized and subcategorized according to their mode of consumption, sodium content, and food groups. The sodium content values were calculated from Palestinian food composition database. Content validity was done in Phase 2, while in Phase 3, a pilot study was conducted to determine test-retest reliability. In Phase 4, the criterion validity of the screener was assessed by comparing the results of sodium intake from the FFQ screener with the results from a 24-hour urinary sodium test and a 3-day diet recall. Correlations between the sodium intake values from the three methods were analyzed using Pearson correlation tests, and the difference was assessed using the Bland-Altman test.

resultsThe developed FFQ screener sodium screener included 41 food items categorized into nine groups, with photo-based portion size estimation and frequency of consumption. The reliability test showed a Pearson correlation coefficient of 0.7, p < 0.01 using test and retest. For criterion validity, the correlation coefficient between dietary sodium intake using the FFQ screener software and the 24-hour urine sodium test was (0.6, p < 0.000). The correlation coefficient between dietary sodium intake using the FFQ screener software and dietary sodium intake using a 3-day recall was (0.3, p < 0.000). Sodium intake was significantly correlated with preferences for low-sodium food and previous salt reduction, p < 0.05.

conclusionsUsing the FFQ screener software was a valid and reliable method for assessing dietary sodium intake. Using the photo-based method to estimate portion size improved precision and accuracy in diet assessment.

Indexed as

24-h recall24-h urine and softwareFFQSodium

Identifiers

PMID39252140
PMCPMC11384683

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.