Evidence map›Paper›PMID 25833885›Full record

Trial reportThe Journal of nutrition2015

Estimating the population distribution of usual 24-hour sodium excretion from timed urine void specimens using a statistical approach accounting for correlated measurement errors.

Chia-Yih Wang, Alicia L Carriquiry, Te-Ching Chen, Catherine M Loria, Christine M Pfeiffer, Kiang Liu, Christopher T Sempos, Cria G Perrine, Mary E Cogswell

Registry-linked trialAbstract readComparative StudyRandomized Controlled TrialValidation Study
In one paragraph

Trial report in The Journal of nutrition, 2015. 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. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. 24-hour sodium and potassium excretion in the Americas: a systematic review and meta-analysis.Revista panamericana de salud publica = Pan American journal of public health · 2022
    Review
  3. Understanding the science that supports population-wide salt reduction programs.Journal of clinical hypertension (Greenwich, Conn.) · 2017
    Article
  4. Review
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

9 authors.

Chia-Yih WangDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD; cwang@cdc.gov.
Alicia L CarriquiryDepartment of Statistics, Iowa State University, Ames, IA;
Te-Ching ChenDivision of Health and Nutrition Examination Surveys, National Center for Health Statistics, CDC, Hyattsville, MD;
Catherine M LoriaNational Heart, Lung, and Blood Institute, and.
Christine M PfeifferDivision of Laboratory Sciences, National Center for Environmental Health.
Kiang LiuDepartment of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL.
Christopher T SemposOffice of Dietary Supplements, NIH, Bethesda, MD;
Cria G PerrineDivision of Nutrition, Physical Activity, and Obesity, and.
Mary E CogswellDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, CDC, Atlanta, GA; and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHigh US sodium intake and national reduction efforts necessitate developing a feasible and valid monitoring method across the distribution of low-to-high sodium intake.

objectiveWe examined a statistical approach using timed urine voids to estimate the population distribution of usual 24-h sodium excretion.

methodsA sample of 407 adults, aged 18-39 y (54% female, 48% black), collected each void in a separate container for 24 h; 133 repeated the procedure 4-11 d later. Four timed voids (morning, afternoon, evening, overnight) were selected from each 24-h collection. We developed gender-specific equations to calibrate total sodium excreted in each of the one-void (e.g., morning) and combined two-void (e.g., morning + afternoon) urines to 24-h sodium excretion. The calibrated sodium excretions were used to estimate the population distribution of usual 24-h sodium excretion. Participants were then randomly assigned to modeling (n = 160) or validation (n = 247) groups to examine the bias in estimated population percentiles.

resultsMedian bias in predicting selected percentiles (5th, 25th, 50th, 75th, 95th) of usual 24-h sodium excretion with one-void urines ranged from -367 to 284 mg (-7.7 to 12.2% of the observed usual excretions) for men and -604 to 486 mg (-14.6 to 23.7%) for women, and with two-void urines from -338 to 263 mg (-6.9 to 10.4%) and -166 to 153 mg (-4.1 to 8.1%), respectively. Four of the 6 two-void urine combinations produced no significant bias in predicting selected percentiles.

conclusionsOur approach to estimate the population usual 24-h sodium excretion, which uses calibrated timed-void sodium to account for day-to-day variation and covariance between measurement errors, produced percentile estimates with relatively low biases across low-to-high sodium excretions. This may provide a low-burden, low-cost alternative to 24-h collections in monitoring population sodium intake among healthy young adults and merits further investigation in other population subgroups.

Indexed as

Models, BiologicalRenal EliminationAdolescentAdultAlgorithmsCalibrationCircadian RhythmDistrict of ColumbiaFemaleHumansMaleNutrition AssessmentNutrition SurveysReproducibility of ResultsSex CharacteristicsSodiumSodiumSodium, Dietary24-hour urine collectioncalibrationnutrition surveypopulation distributionsodiumtimed urine voidusual sodium intake

Identifiers

PMID25833885
PMCPMC4408737

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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.