Estimating the Population Distribution of Usual 24-Hour Sodium Excretion from Timed Urine Void Specimens Using a Statistical Approach Accounting for Correlated Measurement Errors. Issue 5 (1st April 2015)

• Record Type: Journal Article
• Authors: Wang, Chia-Yih; Carriquiry, Alicia L; Chen, Te-Ching; Loria, Catherine M; Pfeiffer, Christine M; Liu, Kiang; Sempos, Christopher T; Perrine, Cria G; Cogswell, Mary E
• Is Part Of: Journal of nutrition. Volume 145:Issue 5(2015)
• Page Start: 1017
• Page End: 1024
• Publication Date: 2015-04-01
• Subjects: sodium -- population distribution -- nutrition survey -- calibration -- 24-hour urine collection -- timed urine void -- usual sodium intake; Nutrition -- Periodicals; Diet -- Periodicals; 613.205
• DOI: 10.3945/jn.114.206250
• Languages: English
• ISSNs: 0022-3166

Abstract

Abstract: Background: High US sodium intake and national reduction efforts necessitate developing a feasible and valid monitoring method across the distribution of low-to-high sodium intake. Objective: We examined a statistical approach using timed urine voids to estimate the population distribution of usual 24-h sodium excretion. Methods: A 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. Results: Median 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. Conclusions: Our 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. This study was registered at http://clinicaltrials.gov as NCT01631240.