Literature DB >> 24047921

Validity of predictive equations for 24-h urinary sodium excretion in adults aged 18-39 y.

Mary E Cogswell1, Chia-Yih Wang, Te-Ching Chen, Christine M Pfeiffer, Paul Elliott, Cathleen D Gillespie, Alicia L Carriquiry, Christopher T Sempos, Kiang Liu, Cria G Perrine, Christine A Swanson, Kathleen L Caldwell, Catherine M Loria.   

Abstract

BACKGROUND: Collecting a 24-h urine sample is recommended for monitoring the mean population sodium intake, but implementation can be difficult.
OBJECTIVE: The objective was to assess the validity of published equations by using spot urinary sodium concentrations to predict 24-h sodium excretion.
DESIGN: This was a cross-sectional study, conducted from June to August 2011 in metropolitan Washington, DC, of 407 adults aged 18-39 y, 48% black, who collected each urine void in a separate container for 24 h. Four timed voids (morning, afternoon, evening, and overnight) were selected from each 24-h collection. Published equations were used to predict 24-h sodium excretion with spot urine by specimen timing and race-sex subgroups. We examined mean differences with measured 24-h sodium excretion (bias) and individual differences with the use of Bland-Altman plots.
RESULTS: Across equations and specimens, mean bias in predicting 24-h sodium excretion for all participants ranged from -267 to 1300 mg (Kawasaki equation). Bias was least with International Cooperative Study on Salt, Other Factors, and Blood Pressure (INTERSALT) equations with morning (-165 mg; 95% CI: -295, 36 mg), afternoon (-90 mg; -208, 28 mg), and evening (-120 mg; -230, -11 mg) specimens. With overnight specimens, mean bias was least when the Tanaka (-23 mg; 95% CI: -141, 95 mg) or Mage (-145 mg; -314, 25 mg) equations were used but was statistically significant when using the Tanaka equations among females (216 to 243 mg) and the Mage equations among races other than black (-554 to -372 mg). Significant over- and underprediction occurred across individual sodium excretion concentrations.
CONCLUSIONS: Using a single spot urine, INTERSALT equations may provide the least biased information about population mean sodium intakes among young US adults. None of the equations evaluated provided unbiased estimates of individual 24-h sodium excretion.

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Year:  2013        PMID: 24047921      PMCID: PMC3831536          DOI: 10.3945/ajcn.113.059436

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  37 in total

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  65 in total

1.  Salt sales survey: a simplified, cost-effective method to evaluate population salt reduction programs--a cluster-randomized trial.

Authors:  Yuan Ma; Feng J He; Nicole Li; Jesse Hao; Jing Zhang; Lijing L Yan; Yangfeng Wu
Journal:  Hypertens Res       Date:  2015-12-10       Impact factor: 3.872

2.  Genome-Wide Gene-Sodium Interaction Analyses on Blood Pressure: The Genetic Epidemiology Network of Salt-Sensitivity Study.

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4.  Prediction of 24-hour sodium excretion from spot urine samples in South African adults: a comparison of four equations.

Authors:  Karen Charlton; Lisa J Ware; Glory Chidumwa; Marike Cockeran; Aletta E Schutte; Nirmala Naidoo; Paul Kowal
Journal:  J Hum Hypertens       Date:  2019-05-10       Impact factor: 3.012

5.  Validity of predictive equations for 24-h urinary potassium excretion based on timing of spot urine collection among adults: the MESA and CARDIA Urinary Sodium Study and NHANES Urinary Sodium Calibration Study.

Authors:  Carla I Mercado; Mary E Cogswell; Catherine M Loria; Kiang Liu; Norrina Allen; Cathleen Gillespie; Chia-Yih Wang; Ian H de Boer; Jacqueline Wright
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Review 6.  Challenges and Lessons Learned in Generating and Interpreting NHANES Nutritional Biomarker Data.

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8.  Current daily salt intake in Germany: biomarker-based analysis of the representative DEGS study.

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Journal:  Eur J Nutr       Date:  2014-10-24       Impact factor: 5.614

9.  Estimated 24-Hour Urinary Sodium and Potassium Excretion in US Adults.

Authors:  Mary E Cogswell; Catherine M Loria; Ana L Terry; Lixia Zhao; Chia-Yih Wang; Te-Ching Chen; Jacqueline D Wright; Christine M Pfeiffer; Robert Merritt; Claudia S Moy; Lawrence J Appel
Journal:  JAMA       Date:  2018-03-27       Impact factor: 56.272

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Journal:  Curr Hypertens Rep       Date:  2019-04-25       Impact factor: 5.369

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