Evidence map›Paper›PMID 38403166›Full record

ArticleThe American journal of clinical nutrition2024

Can sodium and potassium measured in timed voids be used as reference instruments for validating self-report instruments? Results from a urine calibration study.

Laurence S Freedman, Chia-Yih Wang, John Commins, Brian Barrett, Douglas Midthune, Kevin W Dodd, Raymond J Carroll, Victor Kipnis

Registry-linked trialOpen access · greenAbstract readValidation Study
In one paragraph

Article in The American journal of clinical nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01631240 (National Health and Nutrition Examination Survey), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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.

NCT01631240 completednot on this map

National Health and Nutrition Examination Survey (NHANES), Urinary Sodium Calibration Study

TypeobservationalSponsorCenters for Disease Control and PreventionRan2011 to 2011Enrolled441ConditionsNutrition Assessment
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

8 authors at 5 institutions in 3 countries.

Laurence S FreedmanInformation Management Services Inc., Rockville, MD, United States; Biostatistics and Biomathematics Unit, Gertner Institute for Epidemiology and Health Policy Research, Chaim Sheba Medical Center, Ramat Gan, Israel. Electronic address: lsf@actcom.co.il.
Chia-Yih WangDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, Centers for Disease Control and Prevention, Hyattsville, MD, United States.
John ComminsInformation Management Services Inc., Rockville, MD, United States.
Brian BarrettInformation Management Services Inc., Rockville, MD, United States.
Douglas MidthuneBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States.
Kevin W DoddBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States.
Raymond J CarrollDepartment of Statistics, Texas A&M University, College Station, TX, United States.
Victor KipnisBiometry Research Group, Division of Cancer Prevention, National Cancer Institute, Rockville, MD, United States.
National Cancer Institute · MYInformation Management Services · USCenters for Disease Control and Prevention · USSheba Medical Center · ILTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSodium and potassium measured in 24-h urine collections are often used as reference measurements to validate self-reported dietary intake instruments.

objectivesTo evaluate whether collection and analysis of a limited number of urine voids at specified times during the day ("timed voids") can provide alternative reference measurements, and to identify their optimal number and timing.

methodsWe used data from a urine calibration study among 441 adults aged 18-39 y. Participants collected each urine void in a separate container for 24 h and recorded the collection time. For the same day, they reported dietary intake using a 24-h recall. Urinary sodium and potassium were analyzed in a 24-h composite sample and in 4 timed voids (morning, afternoon, evening, and overnight). Linear regression models were used to develop equations predicting log-transformed 24-h urinary sodium or potassium levels using each of the 4 single timed voids, 6 pairs, and 4 triples. The equations also included age, sex, race, BMI (kg/m

resultsOptimal combinations found were as follows: single voids-evening; paired voids-afternoon + overnight (sodium) and morning + evening (potassium); and triple voids-morning + evening + overnight (sodium) and morning + afternoon + evening (potassium). Predicted 24-h urinary levels estimated 24-h recall group biases and attenuation factors without apparent bias, but with less precision than observed 24-h urinary levels. To recover lost precision, it was estimated that sample sizes need to be increased by ∼2.6-2.7 times for a single void, 1.7-2.1 times for paired voids, and 1.5-1.6 times for triple voids.

conclusionsOur results provide the basis for further development of new reference biomarkers based on timed voids. CLINICAL TRIAL REGISTRY: clinicaltrials.gov as NCT01631240.

Indexed as

PotassiumSelf ReportSodiumAdolescentAdultCalibrationDietFemaleHumansMaleReproducibility of ResultsSodium, DietaryUrinalysisUrine Specimen CollectionYoung AdultPotassiumSodiumSodium, Dietaryattenuation factordietary intake reference measuresdietary measurement errorpotassium intakeself-reported dietary intakesodium intakeurinary biomarkersvalidation studies

Identifiers

PMID38403166
PMCPMC11130648
OpenAlexW4392094251

What OpenQuestion holds

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Registered trials

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.