Literature DB >> 23673246

Estimating 24-hour urinary sodium excretion from casual urinary sodium concentrations in Western populations: the INTERSALT study.

Ian J Brown1, Alan R Dyer, Queenie Chan, Mary E Cogswell, Hirotsugu Ueshima, Jeremiah Stamler, Paul Elliott.   

Abstract

High intakes of dietary sodium are associated with elevated blood pressure levels and an increased risk of cardiovascular disease. National and international guidelines recommend reduced sodium intake in the general population, which necessitates population-wide surveillance. We assessed the utility of casual (spot) urine specimens in estimating 24-hour urinary sodium excretion as a marker of sodium intake in the International Cooperative Study on Salt, Other Factors, and Blood Pressure. There were 5,693 participants recruited in 1984-1987 at the ages of 20-59 years from 29 North American and European samples. Participants were randomly assigned to test or validation data sets. Equations derived from casual urinary sodium concentration and other variables in the test data were applied to the validation data set. Correlations between observed and estimated 24-hour sodium excretion were 0.50 for individual men and 0.51 for individual women; the values were 0.79 and 0.71, respectively, for population samples. Bias in mean values (observed minus estimated) was small; for men and women, the values were -1.6 mmol per 24 hours and 2.3 mmol per 24 hours, respectively, at the individual level and -1.8 mmol per 24 hours and 2.2 mmol per 24 hours, respectively, at the population level. Proportions of individuals with urinary 24-hour sodium excretion above the recommended levels were slightly overestimated by the models. Casual urine specimens may be a useful, low-burden, low-cost alternative to 24-hour urine collections for estimation of population sodium intakes; ongoing calibration with study-specific 24-hour urinary collections is recommended to increase validity.

Entities:  

Keywords:  nutrition assessment; population surveillance; sodium intake

Mesh:

Substances:

Year:  2013        PMID: 23673246      PMCID: PMC3664342          DOI: 10.1093/aje/kwt066

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  40 in total

1.  A simple method to estimate populational 24-h urinary sodium and potassium excretion using a casual urine specimen.

Authors:  T Tanaka; T Okamura; K Miura; T Kadowaki; H Ueshima; H Nakagawa; T Hashimoto
Journal:  J Hum Hypertens       Date:  2002-02       Impact factor: 3.012

2.  The INTERSALT study: background, methods and main results. INTERSALT Co-operative Research Group.

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Journal:  JAMA       Date:  1998-05-06       Impact factor: 56.272

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Journal:  Lancet       Date:  1970-09-26       Impact factor: 79.321

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Authors:  H Pollack
Journal:  Am J Clin Nutr       Date:  1970-07       Impact factor: 7.045

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7.  Do hypertensive patients have a different diurnal pattern of electrolyte excretion?

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Journal:  BMJ       Date:  1988-07-30

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Authors:  Paul Elliott; Lesley L Walker; Mark P Little; John R Blair-West; Robert E Shade; D Rick Lee; Pierre Rouquet; Eric Leroy; Xavier Jeunemaitre; Raymond Ardaillou; Francoise Paillard; Pierre Meneton; Derek A Denton
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Authors:  Nancy R Cook; Jeffrey A Cutler; Eva Obarzanek; Julie E Buring; Kathryn M Rexrode; Shiriki K Kumanyika; Lawrence J Appel; Paul K Whelton
Journal:  BMJ       Date:  2007-04-20
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  101 in total

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

Authors:  Mary E Cogswell; 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
Journal:  Am J Clin Nutr       Date:  2013-09-18       Impact factor: 7.045

Review 2.  An update on the salt wars-genuine controversy, poor science, or vested interest?

Authors:  Bruce Neal; Mary-Anne Land; Mark Woodward
Journal:  Curr Hypertens Rep       Date:  2013-12       Impact factor: 5.369

3.  Spot urine sodium measurements do not accurately estimate dietary sodium intake in chronic kidney disease.

Authors:  Carly E Dougher; Dena E Rifkin; Cheryl Am Anderson; Gerard Smits; Martha S Persky; Geoffrey A Block; Joachim H Ix
Journal:  Am J Clin Nutr       Date:  2016-06-29       Impact factor: 7.045

Review 4.  Dietary sodium and cardiovascular disease.

Authors:  Andrew Smyth; Martin O'Donnell; Andrew Mente; Salim Yusuf
Journal:  Curr Hypertens Rep       Date:  2015-06       Impact factor: 5.369

5.  Urinary sodium excretion is associated with short sleep duration.

Authors:  In Cheol Hwang; Doosup Shin
Journal:  Eur J Epidemiol       Date:  2014-11-02       Impact factor: 8.082

6.  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

7.  The relationship between repeated measurement of casual and 24-h urinary sodium-to-potassium ratio in patients with chronic kidney disease.

Authors:  Yuka Okuyama; Haruhito A Uchida; Toshiyuki Iwahori; Hiroyoshi Segawa; Ayako Kato; Hidemi Takeuchi; Yuki Kakio; Ryoko Umebayashi; Masashi Kitagawa; Hitoshi Sugiyama; Katsuyuki Miura; Hirotsugu Ueshima; Jun Wada
Journal:  J Hum Hypertens       Date:  2018-11-15       Impact factor: 3.012

8.  Association of urinary sodium-to-potassium ratio with obesity in a multiethnic cohort.

Authors:  Nishank Jain; Abu T Minhajuddin; Ian J Neeland; Essam F Elsayed; Gloria L Vega; S Susan Hedayati
Journal:  Am J Clin Nutr       Date:  2014-02-19       Impact factor: 7.045

9.  Monitoring population sodium intake using spot urine samples: validation in a New Zealand population.

Authors:  R McLean; S Williams; J Mann
Journal:  J Hum Hypertens       Date:  2014-02-27       Impact factor: 3.012

10.  Invited commentary: Quantifying salt in urine--a complex solution.

Authors:  Ian H de Boer; Bryan Kestenbaum
Journal:  Am J Epidemiol       Date:  2013-05-14       Impact factor: 4.897

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