Evidence map›Paper›PMID 34693901›Full record

ArticlePublic health nutrition2022

Dietary sodium estimation methods: accuracy and limitations of old and new methods in individuals at high cardiovascular risk.

Christiana Tsirimiagkou, Kalliopi Karatzi, Eirini D Basdeki, Antonios A Argyris, Theodore G Papaioannou, Maria Yannakoulia, Athanase D Protogerou

Open access · hybridAbstract read
In one paragraph

Article in Public health nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

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

7 authors at 3 institutions in 1 country.

Christiana TsirimiagkouCardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, 75, Mikras Asias Street, Athens11527, Greece.ORCID 0000-0002-0203-5309
Kalliopi KaratziLaboratory of Dietetics and Quality of Life, Department of Food Science & Human Nutrition, Agricultural University of Athens, Greece.
Eirini D BasdekiCardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, 75, Mikras Asias Street, Athens11527, Greece.
Antonios A ArgyrisCardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, 75, Mikras Asias Street, Athens11527, Greece.
Theodore G PapaioannouBiomedical Engineering Unit, First Department of Cardiology, Department of Medicine, National and Kapodistrian University of Athens, Greece.
Maria YannakouliaDepartment of Nutrition and Dietetics, School of Health Science and Education, Harokopio University of Athens, Greece.
Athanase D ProtogerouCardiovascular Prevention & Research Unit, Clinic & Laboratory of Pathophysiology, Department of Medicine, National and Kapodistrian University of Athens, 75, Mikras Asias Street, Athens11527, Greece.
National and Kapodistrian University of Athens · GRAgricultural University of Athens · GRHarokopio University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAccurate and easy to use methods for dietary Na intake estimation in population level are lacking. We aimed at (i) estimating the mean Na intake in the group level using a variety of dietary methods (DM) and urinary methods (UM) and correlating them with 24-h urine collection (24UCol) and (ii) improving the accuracy of the existing DM.

designThe most common DM (three 24-h dietary recalls (24DR) and FFQ) and UM (24UCol and spot urine collection using common equations) were applied. To improve the existing: (i) 24DR, discretionary Na was quantified using salt-related questions or adding extra 15 % in total Na intake and (ii) FFQ, food items rich in Na and salt-related questions were added in the standard questionnaire (NaFFQ).

settingNational and Kapodistrian University of Athens, Greece.

participantsTotally, 122 high cardiovascular risk subjects (56·0 ± 12·6 years; 55·7 % males).

resultsMean 24 h Na excretion (24UNa) was 2810 ± 1304 mg/d. Spot urine methods overestimated the 24UNa (bias range: -1781 to -492 mg) and were moderately correlated to 24UCol (r = 0·469-0·596, P ≤ 0·01). DM underestimated the 24UNa (bias range: 877 to 1212 mg) and were weakly correlated with 24UCol. The improved DM underestimated the 24UNa (bias range: 877 to 923 mg). The NaFFQ presented the smallest bias (-290 ± 1336 mg) and the strongest correlation with 24UCol (r = 0·497, P ≤ 0·01), but wide limits of agreement in Bland-Altman plots (-2909 mg; 2329 mg), like all the other methods did.

conclusionsThe existing methods exhibit poor accuracy. Further improvement of the newly developed NaFFQ could be promising for more accurate estimation of mean dietary Na intake in epidemiological studies. Additional validation studies are needed.

Indexed as

Cardiovascular DiseasesSodium, DietaryFemaleHeart Disease Risk FactorsHumansMaleRisk FactorsSodiumSodium Chloride, DietarySurveys and QuestionnairesSodiumSodium Chloride, DietarySodium, Dietary24-h dietary recall24-h urine collectionDietary Na assessmentFFQSpot urine collection

Identifiers

PMID34693901
PMCPMC9991764
OpenAlexW3209748542

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Registered trials

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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.