| Literature DB >> 33114577 |
Bigina N R Ginos1, Rik H G Olde Engberink2.
Abstract
Globally, average dietary sodium intake is double the recommended amount, whereas potassium is often consumed in suboptimal amounts. High sodium diets are associated with increased cardiovascular and renal disease risk, while potassium may have protective properties. Consequently, patients at risk of cardiovascular and renal disease are urged to follow these recommendations, but dietary adherence is often low due to high sodium and low potassium content in processed foods. Adequate monitoring of intake is essential to guide dietary advice in clinical practice and can be used to investigate the relationship between intake and health outcomes. Daily sodium and potassium intake is often estimated with 24-h sodium and potassium excretion, but long-term balance studies demonstrate that this method lacks accuracy on an individual level. Dietary assessment tools and spot urine collections also exhibit poor performance when estimating individual sodium and potassium intake. Collection of multiple consecutive 24-h urines increases accuracy, but also patient burden. In this narrative review, we discuss current approaches to estimating dietary sodium and potassium intake. Additionally, we explore alternative methods that may improve test accuracy without increasing burden.Entities:
Keywords: 24-h urine; diet; dietary assessment; potassium; salt; sodium; spot urine
Mesh:
Substances:
Year: 2020 PMID: 33114577 PMCID: PMC7692368 DOI: 10.3390/nu12113275
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Strengths and limitations of commonly used dietary assessment methods for estimation of sodium and potassium intake.
| FFQ | 24-h Diet Recall | Diet Record | |
|---|---|---|---|
| Costs | low | moderate | moderate to high |
| Time and burden | low | low to moderate | high |
| Precision | low | moderate | high |
| Timeframe | weeks or months | one day, but can be repeated over weeks or months | days |
| Biases | recall bias, information bias | recall bias | social desirability, |
Food frequency questionnaires (FFQ) are the most cost-effective and timesaving, but have low precision. Main biases stem from respondents not correctly memorizing their intake or questionnaires not being relevant to local dietary habits. Diet records have the highest precision, but are costly, burdensome and time consuming. Reporting may be biased due to change of dietary habits as a result of keeping a diet record or omitting a report of complicated foods due to high burden. Twenty-four hour diet recalls sit somewhere in between FFQs and diet records in terms of precision, costs, time and burden. Results are mainly affected by recall bias, but social desirability and selective reporting could also play a role.
Figure 1Sodium storage and release from a third compartment. Twenty-four hour sodium (Na+) excretion is substantially different from the 24-h intake during fixed Na+ intake due to the release and storage of Na+ from/in a third compartment, which correlates with infradian rhythms of cortisol and aldosterone.
Figure 2Single versus multiple 24-h collections. We estimated sodium intake with a single baseline collection and averaged collections during 15-year follow-up. (A) Population sodium intake was similar when estimated at baseline or during the 15-year follow-up. (B) However, individual level estimates of sodium intake were substantially different when multiple measurements were taken into account. Only 50% of the subjects remained in the similar sodium intake tertile (green lines), while 42% moved to the adjacent tertile (orange lines) and 8% of the subjects switched between the outer tertiles (black lines). (C) When investigating the association between long-term renal outcome and sodium intake, hazard ratios changed significantly when baseline sodium intake estimates were used instead of 15-year estimates. Adjusted from [30].
Overview of commonly used spot urine based equations.
| Age | Sex | Height | Weight | BMI | Spot Na+ | Spot K+ | Spot Cr | Spot Ur | 24-h uV | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Method | Equation Variables | Region | Men | Women | Age | BMI | eGFR | |||||||||
| INTERSALT [ | ■ | North America | 2841 | 2852 | 20–59 | 25.8 | N/A | |||||||||
| CKDSALT [ | China | 2939 | 2296 | 54 | 24.2 | 56.7 | ||||||||||
| Kawasaki [ | Japan | 78 | 81 | 34 | 22.1 * | N/A | ||||||||||
| Tanaka [ | Japan | 295 | 296 | 40 | 22.4 | N/A | ||||||||||
| Toft [ | Denmark | 102 | 371 | 51 | 25.5 | N/A | ||||||||||
| Mage [ | United States | 483 | 246 | N/A | N/A | N/A | ||||||||||
Grey marked variables are included in the method equation: age, sex, height, weight, body mass index (BMI), spot urine sodium concentration (spot Na+), spot urine potassium concentration (spot K+), spot urine creatinine concentration (spot Cr), spot urine urea concentration (spot Ur) and 24-h urine volume (24-h uV); ■ indicates that the use of spot K+ for estimation of sodium intake is optional. Summary of original study population characteristics per method: age (years), BMI (kg/m2) and eGFR (ml/min/1,73 m2) are displayed as mean, median or range; * calculated mean BMI using provided mean height and weight.
Figure 3Diurnal variation in sodium and potassium excretion. Sodium (Na+) and potassium (K+) excretion varies from hour to hour. As a result, the urine sodium to potassium (Na+/K+) ratio depends on the moment of urine sample collection. These data are based on 13,277 urine samples from 122 participants with and without hypertension [56]. No difference in Na+ or K+ excretion or urine Na+/K+ ratio was found between normotensive and hypertensive individuals. Adjusted from Iwahori et al. [56].