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

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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 excretionswere used to estimate the population distribution of usual 24-h sodiumexcretion. Participantswere 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 excretionwith onevoid urines ranged from 2367 to 284 mg (27.7 to 12.2% of the observed usual excretions) for men and 2604 to 486 mg (214.6 to 23.7%) for women, andwith two-void urines from2338 to 263 mg (26.9 to 10.4%) and 2166 to 153mg (24.1 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 andmerits further investigation in other population subgroups.

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Wang, C. Y., Carriquiry, A. L., Chen, T. C., Loria, C. M., Pfeiffer, C. M., Liu, K., … Cogswell, M. E. (2015). Estimating the population distribution of usual 24-hour sodium excretion from timed urine void specimens using a statistical approach accounting for correlatedmeasurement errors. Journal of Nutrition, 145(5), 1017–1024. https://doi.org/10.3945/jn.114.206250

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