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Monitoring population salt intake using casual urinary sodium: Tehran Lipid and Glucose Study.
- Source :
-
Nutrition & metabolism [Nutr Metab (Lond)] 2022 Mar 15; Vol. 19 (1), pp. 19. Date of Electronic Publication: 2022 Mar 15. - Publication Year :
- 2022
-
Abstract
- Background: We aimed to estimate salt intake among an Iranian population using spot urine-based equations and a dietary-based method.<br />Methods: Adult men and women (n = 2069) were recruited from the Tehran Lipid and Glucose Study (2014-2017). Urinary sodium (Na), potassium (K), and creatinine (Cr) concentrations were measured in the morning spot urine samples. The 24-h urinary Na excretion and predicted salt intake was estimated using five equations, i.e., Kawasaki, Tanaka, Intersalt, Toft, and Whitton. A validated food frequency questionnaire (FFQ) was used to obtain dietary intake of salt. The agreement of each urinary- and FFQ-based salt estimation with the overall mean of the methods, considered as the gold standard, was assessed using the Bland-Altman method.<br />Results: Mean age of the participants was 45.6 ± 14.8 y, and 45.4% were men. Mean (SD) estimated salt intake, derived from the overall mean of the methods, was 9.0 ± 2.2 g/d (10.2 ± 2.1 and 7.9 ± 1.7 g/d in men and women, respectively). Mean bias of the estimations from the overall mean ranged from - 0.2.42 to 2.75 g/d, with the Tanaka equation having the least bias (mean bias = 0.13 ± 1.10, 95% CI - 2.37, 2.30 g/d). Tanaka estimated a mean salt intake of 8.9 g/d (range 2.1 to 18.7 g/d); accordingly, only 5.1% of participants adhered to the recommendation (< 5 g/d salt intake), whereas 26.8% and 2.4% exceeded the recommendation by 2- and threefold.<br />Conclusion: The Tanaka equation could provide a more accurate mean-population estimated salt intake from casual urinary Na concentration in our population. About 95% of the Iranian population exceeded the current recommendations of salt intake.<br /> (© 2022. The Author(s).)
Details
- Language :
- English
- ISSN :
- 1743-7075
- Volume :
- 19
- Issue :
- 1
- Database :
- MEDLINE
- Journal :
- Nutrition & metabolism
- Publication Type :
- Academic Journal
- Accession number :
- 35292052
- Full Text :
- https://doi.org/10.1186/s12986-022-00658-4