Correcting for Intra-Individual Variability in Sodium Excretion in Spot Urine Samples Does Not Improve the Ability to Predict 24 h Urinary Sodium Excretion. 2020

Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
School of Medicine, University of Wollongong, Wollongong 2522, Australia.

Given a global focus on salt reduction efforts to reduce cardiovascular risk, it is important to obtain accurate measures of salt intake on a population level. This study determined firstly whether adjustment for intra-individual variation in urinary sodium (Na) excretion using three repeated 24 h collections affects daily estimates and whether the use of repeated spot urine samples results in better prediction of 24 h Na compared to a single collection. Twenty three community-dwelling men and women from South Africa (mean age 59.7 years (SD = 15.6)) participating in the World Health Organization Study on global AGEing and adult health (WHO-SAGE) Wave 3 study collected 24 h and spot early morning urine samples over three consecutive days to assess urinary Na excretion. INTERSALT, Tanaka, and Kawasaki prediction equations, with either average or adjusted spot Na values, were used to estimate 24 h Na and compared these against measured 24 h urinary Na. Adjustment was performed by using the ratio of between-person (sb) and total (sobs) variability obtained from repeated measures analysis of variance. Sensitivity of the equations to predict daily urinary Na values below 5 g salt equivalent was calculated. The sb/sobs for urinary Na using three repeated samples for spot and 24 h samples were 0.706 and 0.798, respectively. Correction using analysis of variance for 3 × 24 h collections resulted in contraction of the upper end of the distribution curve (90th centile: 157 to 136 mmoL/day; 95th centile: 220 to 178 mmoL/day). All three prediction equations grossly over-estimated 24 h urinary Na excretion, regardless of whether a single spot urine or repeated collections corrected for intra-individual variation were used. Sensitivity of equations to detect salt intake equivalent values of ≤5 g/day was 13% for INTERSALT, while the other two equations had zero sensitivity. Correcting for intra-individual variability in Na excretion using three 24 h urine collections contracted the distribution curve for high intakes. Repeated collection of spot samples for urinary Na analysis does not improve the accuracy of predicting 24 h Na excretion. Spot urine samples are not appropriate to detect participants with salt intakes below the recommended 5 g/day.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D004435 Eating The consumption of edible substances. Dietary Intake,Feed Intake,Food Intake,Macronutrient Intake,Micronutrient Intake,Nutrient Intake,Nutritional Intake,Ingestion,Dietary Intakes,Feed Intakes,Intake, Dietary,Intake, Feed,Intake, Food,Intake, Macronutrient,Intake, Micronutrient,Intake, Nutrient,Intake, Nutritional,Macronutrient Intakes,Micronutrient Intakes,Nutrient Intakes,Nutritional Intakes
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000082742 Heart Disease Risk Factors Aspects of personal behavior or lifestyle, environmental exposure, inherited conditions and characteristics, which are determined to be associated with HEART DISEASES. Cardiovascular Risk,Cardiovascular Risk Factors,Cardiovascular Risk Score,Residual Cardiovascular Risk,Risk Factors for Cardiovascular Disease,Risk Factors for Heart Disease,Cardiovascular Risk Factor,Cardiovascular Risk Scores,Cardiovascular Risk, Residual,Cardiovascular Risks,Factor, Cardiovascular Risk,Residual Cardiovascular Risks,Risk Factor, Cardiovascular,Risk Score, Cardiovascular,Risk, Cardiovascular,Risk, Residual Cardiovascular,Score, Cardiovascular Risk
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D012680 Sensitivity and Specificity Binary classification measures to assess test results. Sensitivity or recall rate is the proportion of true positives. Specificity is the probability of correctly determining the absence of a condition. (From Last, Dictionary of Epidemiology, 2d ed) Specificity,Sensitivity,Specificity and Sensitivity
D013019 South Africa A republic in southern Africa, the southernmost part of Africa. It has three capitals: Pretoria (administrative), Cape Town (legislative), and Bloemfontein (judicial). Officially the Republic of South Africa since 1960, it was called the Union of South Africa 1910-1960. Republic of South Africa,Union of South Africa

Related Publications

Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
June 2014, Nutrients,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
June 2017, The American journal of clinical nutrition,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
January 2019, Journal of hypertension,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
December 2018, The Journal of nutrition,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
March 2020, Nutrients,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
January 2013, Environmental science & technology,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
January 2016, PloS one,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
March 2010, Journal of clinical hypertension (Greenwich, Conn.),
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
December 2018, International journal of epidemiology,
Karen Elizabeth Charlton, and Aletta Elisabeth Schutte, and Leanda Wepener, and Barbara Corso, and Paul Kowal, and Lisa Jayne Ware
October 2013, Environmental research,
Copied contents to your clipboard!