Difference between 24-h diet recall and urine excretion for assessing population sodium and potassium intake in adults aged 18–39 y

Thumbnail Image
Date
2015-02-01
Authors
Mercado, Carla
Cogswell, Mary
Valderrama, Amy
Wang, Chia-Yih
Loria, Catherine
Moshfegh, Alanna
Rhodes, Donna
Carriquiry, Alicia
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Authors
Person
Carriquiry, Alicia
Distinguished Professor
Research Projects
Organizational Units
Organizational Unit
Statistics
As leaders in statistical research, collaboration, and education, the Department of Statistics at Iowa State University offers students an education like no other. We are committed to our mission of developing and applying statistical methods, and proud of our award-winning students and faculty.
Journal Issue
Is Version Of
Versions
Series
Department
Statistics
Abstract

Background: Limited data are available on the accuracy of 24-h dietary recalls used to monitor US sodium and potassium intakes. Objective: We examined the difference in usual sodium and potassium intakes estimated from 24-h dietary recalls and urine collections. Design: We used data from a cross-sectional study in 402 participants aged 18–39 y (w50% African American) in the Washington, DC, metropolitan area in 2011. We estimated means and percentiles of usual intakes of daily dietary sodium (dNa) and potassium (dK) and 24-h urine excretion of sodium (uNa) and potassium (uK). We examined Spearman’s correlations and differences between estimates from dietary and urine measures. Multiple linear regressions were used to evaluate the factors associated with the difference between dietary and urine measures. Results: Mean differences between diet and urine estimates were higher in men [dNa – uNa (95% CI) = 936.8 (787.1, 1086.5) mg/d and dK – uK = 571.3 (448.3, 694.3) mg/d] than in women [dNa – uNa (95% CI) = 108.3 (11.1, 205.4) mg/d and dK – uK = 163.4 (85.3, 241.5 mg/d)]. Percentile distributions of diet and urine estimates for sodium and potassium differed for men. Spearman’s correlations between measures were 0.16 for men and 0.25 for women for sodium and 0.39 for men and 0.29 for women for potassium. Urinary creatinine, total caloric intake, and percentages of nutrient intake from mixed dishes were independently and consistently associated with the differences between diet and urine estimates of sodium and potassium intake. For men, body mass index was also associated. Race was associated with differences in estimates of potassium intake. Conclusions: Low correlations and differences between dietary and urinary sodium or potassium may be due to measurement error in one or both estimates. Future analyses using these methods to assess sodium and potassium intake in relation to health outcomes may consider stratifying by factors associated with the differences in estimates from these methods. This trial was registered at clinicaltrials.gov as NCT01631240.

Comments

This article is from American Journal of Clinical Nutrition 101 (2015): 376, doi: 10.3945/ajcn.113.081604.

Description
Keywords
Citation
DOI
Copyright
Collections