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Sodium intake in Germany estimated from sodium excretion measured in spot urine samples
© The Author(s). 2016
Received: 27 November 2015
Accepted: 4 June 2016
Published: 13 June 2016
Population sodium intake and its impact on public health has been a subject of a critical scientific debate for many years. The German Health Interview and Examination Survey for Adults (DEGS1) facilitate the biomarker-based estimation of sodium intake of the German population, although using spot urine concentrations to extrapolate to daily excretion estimates is associated with uncertainties that should be considered.
Casual spot urine samples of 6910 German adults collected in DEGS1 were used to representatively estimate sodium intake of the German population. To extrapolate from spot urine concentrations to daily sodium excretion, five published equations were applied, and the results were compared to recommended sodium intake values.
The estimated means range from 166–230 mmol/d (men) and from 124–194 mmol/d (women). The variability of results also differs between applied equations; interquartile ranges vary between 41 and 133 mmol (men) and 21 and 118 mmol (women).
Regardless of the applied equation, most German adults consume much more sodium than recommended by several institutions. To reduce uncertainty and to fully exploit the potential of biomarker-based estimates of sodium intake, either the sampling strategy should be expanded or the extrapolation from spot urines to daily intake should be refined.
Sodium intake has been critically and controversially discussed for many years . It has been argued that high sodium intake negatively impacts cardiovascular health due to its potential to elevate blood pressure [2–10]. Sodium intake may have an impact on cardiovascular health independently from its association with blood pressure. For instance, a reduction of sodium intake from 154 mmol/d to 103 mmol/d in normotensive overweight and obese subjects improved endothelial function even without affecting blood pressure . Recently, increased sodium tissue storage was detected in hypertensive persons compared to normotensives . Therefore, measurement of sodium in tissues might provide new insight in the relationship between sodium and health in the future. Furthermore, sodium intake has also been associated with other health issues with varying degrees of evidence [13, 14].
The World Health Organization (WHO) and other institutions have published recommendations on healthy sodium intake based on the evidence regarding the relationship between sodium intake and blood pressure, all-cause mortality, and cardiovascular diseases, among others. The WHO strongly recommends consuming less than 85 mmol sodium per day , which is equivalent to 5 g salt (multiply mmol by 0.058) or 2 g sodium (multiply mmol by 0.023). The American Heart Association (AHA) recommends less than 65 mmol sodium per day to improve cardiovascular health of all Americans . In 2005, the Panel on Dietary Reference Intakes for Electrolytes and Water of the Institute of Medicine (IOM) established an adequate intake (AI) for young adults of 65 mmol sodium . The Tolerable Upper Intake Level (UL) was set to 100 mmol sodium per day. Recently, the Committee on Consequences of Sodium Reduction in Populations from the IOM found consistent evidence to still recommend reducing excessive dietary sodium intake. However, they also concluded that the evidence of direct health outcomes of sodium intakes below 100 mmol sodium is inconsistent and insufficient to deduce either risk reduction or enhancement of cardiovascular diseases or all-cause mortality . The European Food Safety Authority (EFSA) did not find in 2005 that the available data were sufficient to establish an UL for sodium from dietary sources . According to the nutrition societies of Germany (DGE), Austria (ÖGE), and Switzerland (SGE), sodium intake of circa 100 mmol is sufficient. Benefits of higher intake are not expected, but disadvantages are likely .
There are several methods to measure and monitor sodium intake in populations—all with their inherent strengths and limitations [20–23]. Collection of 24-h urine samples is still the gold standard for assessing sodium intake. However, a large population-based study like DEGS with a broad spectrum of investigations already requires high participant compliance. Collection of 24-h urine samples would increase participant burden and would negatively impact response rate. In addition, the completeness of 24-h urine samples is crucial for this method and requires validation. Logistical effort also makes this sampling method more expensive compared to the collection of spot urine. Furthermore, 24-h urine collection is critically discussed as a proper measure of usual sodium intake because it only reflects the sodium intake of the preceding one or two days and not the usual individual sodium consumption . Monitoring population sodium intake using spot urine samples is a convenient and economical alternative, but, its ability to predict daily sodium intake is controversial .
Sodium intake estimates of the German population originate from dietary intake surveys. According to dietary history interviews in the 1998 German Nutrition Survey (median estimates), Germans consume 130 mmol (men) and 96 mmol (women) of sodium daily . In the German National Nutrition Survey II (Nationale Verzehrsstudie II; NVSII), dietary history interviews were applied and median sodium intakes were estimated to be 152 mmol (men) and 113 mmol (women) per day [26, 27]. Recently, Johner et al.  estimated median daily sodium intake based on casual spot urines sampled in DEGS to be 171 mmol (men) and 144 mmol (women).
The aim of this study was to estimate nationally representative biomarker-based means and ranges of sodium intake of the German adult population and to assess the proportion of individuals who meet the proposed intake limits as recommended by the WHO. Different methods for extrapolation of concentrations in spot urine to daily sodium excretion were used and compared. This comparison provides insight into the uncertainty that arises from the methods of extrapolation and possible consequences for further studies and public health policies.
Study design and subjects
DEGS1 (German Health Interview and Examination Survey for Adults) is a comprehensive nationwide health survey . The study is representative of the German population aged 18–79 years and was conducted from November 2008 to December 2011. Details on study design and sampling procedures can be found elsewhere . In total, 7987 participants were at the target age of 18–79 years. Among these individuals, 7015 provided casual spot urine samples during their visit at the study center. This could be at any daytime. Of these, 52 participants under medical treatment for renal insufficiency were excluded, and four participants were excluded from the analysis due to creatinine values below the method quantification limit (MQL). Additionally, participants with missing information on body mass or body height were excluded, and one participant was excluded because of a missing potassium concentration in the urine. That information is needed to extrapolate sodium concentrations in spot urine to the daily excreted sodium. Thus, data from 6910 participants were used for the analysis. Anthropometric examinations included a standardized measurement of body mass and body height with participants only wearing underwear. Body mass index (BMI) was calculated from body mass and body height. Socioeconomic status was assigned based on information on education, occupation and income .
Sodium and creatinine in casual spot urine were measured by ion-sensitive electrode (ISE), an indirect method, on the Architect platform CI 8200, Abbott, USA (sodium), and using a colorimetric method (picrate), also on the Architect CI 8200, Abbott, USA (creatinine). The MQL was 20 mmol/L and 0.44 mmol/L for sodium and creatinine, respectively. The sodium concentration was below MQL in 337 casual spot urine samples. In these instances, the concentration of sodium was assigned to 19 mmol/L to calculate daily sodium excretion. A sensitivity analysis was performed assuming a sodium concentration of 1 mmol/L in these cases. The creatinine concentration was below MQL in four casual spot urine samples that were not considered for further calculations.
Comparison of study populations used to develop equations
Toft et al. (2014) 
Brown et al. (2013) 
Tanaka et al. (2002) 
Kawasaki et al. (1993) 
DanThyr & Inter99
North America & Europe
Spot urine sample
Second morning urine
Mean Na concentration (mmol/d)
195 (men) 139 (women)
147–240 (men)a 118–168 (women)a
198 (men) 177 (women)
233 (men) 186 (women)
Parameters considered to estimate creatinine reference values
Age group, sex
Age, sex, body mass, body height
Age, body mass, body height
Age, sex, body mass, body height
Parameters considered to estimate daily Na excretion
Na concentration in casual urine, creatinine concentration in casual urine, creatinine reference value
Na concentration in casual urine, creatinine concentration in casual urine, creatinine reference value, sex
Na concentration in casual urine, Creatinine concentration in casual urine, sex, BMI, age (only women), K concentration in casual urine
Na concentration in casual urine, creatinine concentration in casual urine, creatinine reference value
Na concentration in second morning urine, creatinine concentration in second morning urine, creatinine reference value
All analyses were performed with SAS (version 9.4; SAS Institute Inc., Cary, NC, USA). A weighting factor was used which adjusts for various sampling probabilities within the design strata and corrects deviations in the sample from the German population structure (as of December 31, 2010) to obtain results that are representative of the German population. The weighting factor takes into account age, sex, region, and nationality, community type and education. Calculation of the weighting factor also considered re-participation probability of GNHIES98 (German National Health Interview and Examination Survey 1998) participants [29, 37]. Intraclass correlation coefficients (ICC) were calculated using SPSS (version 184.108.40.206; IBM SPSS Statistics) because SPSS provides a subcommand to easily estimate ICC, which is a measure of correlation of the results obtained with the various equations.
Characteristics of the DEGS1 study population
Men (48 %)
Women (52 %)
100 % (n = 3312)
100 % (n = 3598)
18.5 – < 25
25 – < 30
100 % (n = 3312)
100 % (n = 3598)
100 % (n = 3288)
100 % (n = 3574)
100 % (n = 3293)
100 % (n = 3576)
<2 h per week
2–4 h per week
>4 h per week
100 % (n = 3213)
100 % (n = 3509)
1–4 times per week
100 % (n = 3227)
100 % (n = 3531)
Estimates of daily sodium excretion
Average estimates of sodium intake
A sensitivity analysis assuming extreme low sodium concentrations (1 mmol/L) for values below the MQL of 20 mmol/L resulted in slightly lower mean estimates (mean values decreased by 0–4 mmol/d in men and by 0–9 mmol/d in women equivalent to 0–2 % (men) and 0–5 % (women) lower mean values).
Comparison of daily sodium excretion with recommendations of daily sodium intake
Figure 1 also highlights the relationship between estimated sodium excretion ranges and reference values suggested by the WHO , the nutrition societies of Germany, Austria, and Switzerland , IOM , and AHA . For example, the WHO  recommends consuming less than 85 mmol sodium per day, and most of the German population consume more than that regardless of the equation that is applied for extrapolation (Fig. 1, solid lines). The highest proportion of men (13 %) and women (19 %) consuming sodium as recommended by the WHO is seen with the equation originating from German people . Having a set point of 100 mmol (Fig. 1, dashed line), as discussed by others [2, 19], does not markedly change the figure.
Correlation of results obtained with various equations
Correlation of sodium estimates obtained with various equations
Correlation of creatinine estimates obtained with various equations
High sodium intake has been claimed to be responsible for increased blood pressure and adverse cardiovascular effects . WHO, AHA, IOM, and DGE recommend a reduction of sodium intake in populations [2, 15–17, 19]. Many countries developed and implemented salt reduction strategies . However, Germany did not implement a salt reduction strategy up to now. One reason is the uncertainty about the actual sodium intake of the German population. We present representative, biomarker-based ranges of sodium excretion values of the German population. We also show the uncertainty of using spot urine to be extrapolated to daily excretion. However, regardless of the varying estimates of the sodium excretion in the German population, all of those estimates are far above the recommended sodium intake levels. Only a very small proportion of the population reach the WHO goal of consuming less than 85 mmol sodium per day despite the fact that intake of too much sodium has been discussed for many years in public. However, our results are consistent with large studies investigating sodium intake around the world. In the PURE study comprising over 100,000 adults, the mean sodium excretion was 214 mmol per day, and only 0.6 % of the participants consume less than the 85 mmol sodium per day . Powles et al.  analyzed 245 surveys conducted around the world and classified the results by global regions. The mean sodium excretion has been estimated to be 172 mmol per day with regional differences, and it did not meet the recommended limit of 85 mmol per day in any region. Similarly, McCarron et al.  focused on studies that only used 24-h urine from 45 countries and estimated a mean daily sodium intake of 159 mmol. None of the 190 identified datasets had a mean sodium intake value below or even close to 85 mmol. Additionally, Brown et al.  found that most adult populations have mean sodium intakes of more than 100 mmol per day. Women uniformly consume less sodium [40, 43, 44] as a reflection of lower caloric intake with lower intake of nutrients .
Ensuing from general recommendations given by the WHO and other institutions, German men and women consume too much sodium, which is thought to negatively impact cardiovascular health. However, based on the recently observed association with mortality and cardiovascular events , there is still uncertainty about the optimal level of sodium intake. Alderman and Cohen  defined the common range of sodium intake associated with lower risk of cardiovascular events (109–261 mmol/d) at a comparable range as that of O’Donnell et al. . This result, however, should be taken with caution because no causality can be derived from such studies. They compare groups that consume different levels of sodium, but based on such studies it is not possible to argue that an intentional reduction of sodium intake would alter the risk of death or cardiovascular health. McCarron et al.  concluded from such observations—among others—that the common sodium intake is not associated with negative health impacts.
A recent study analyzed sodium intake of 419 participants using 24-h urine collections (mean sodium excretion: 150 mmol/d) and found no correlation with either knowledge of the impact of salt on health, beliefs whether they eat too much, the right amount or too little salt, or their behavior regarding salt consumption . This outcome may partly explain why people still consume too much salt. A recent study, including 4680 individuals (40–59 years) from different populations  observed that only a few participants reported an attempt to reduce their salt intake with diet (1–7 % of participants, 15 % of those with treated hypertension). Of those who did, the effect was only modest (reduction of ~14 mmol), which might be explained by the observations by Land et al. . Thus, sodium intake remained at levels that are much higher than recommended (~150–180 mmol/d) even if people try to reduce it .
For a national survey such as DEGS that aims to collect much data of the participants and aims for high response rates, the gold standard for sodium intake estimation is not suitable. Countries that used 24-h urine collection in a nationally representative survey mostly reported low response rates . Therefore, urine was collected only once in DEGS when participants visited the study center (casual spot urine). Some equations have been developed to extrapolate concentrations of sodium in casual spot urine to the excretion within 24 h, which have been used and compared in the present study. The applied equations resulted in a range of estimated daily sodium excretion for men and women in Germany. It is likely that the actual daily sodium excretion in the adult German population is within the range of estimates of the applied equations. Unfortunately, the range of even average (mean, median) results is rather broad. The available information does not allow us to conclude the validity of any of these equations for the DEGS population because 24-h urine was not collected in the study population to validate the resulting estimates. However, there are some facts that are indicative for one or another equation; Johner’s equation is derived from German adults at the age range of DEGS participants, but it does not account for body mass and height. Brown’s equation is derived from the largest study population conducted in North America and Europe, and median results best fit with NVSII estimates [26, 27]. Kawasaki’s equation is derived from a population that reflects the age range of DEGS participants, but it is based on the Japanese population and second morning urine samples (Table 1).
Several studies have evaluated the accuracy of some equations already by comparing extrapolated sodium excretion with measured 24-h urine collections [31, 32, 49–53]. The assessment revealed contradictory conclusions. Kawasaki’s equation seems to overestimate sodium excretion by differing degree [49–51]. Whereas Cogswell et al.  found an average overestimation of more than 50 mmol/d, Mente et al.  concluded that the estimates with Kawasaki’s equation were the least biased. Brown’s equation, in contrast, seems to underestimate daily sodium excretion by a differing degree [49–51]. Cogswell et al.  concluded that results obtained with Brown’s equation are least biased. Using Tanaka’s equation resulted in over- and underestimation of measured daily sodium excretion in various evaluation studies [31, 32, 49–53]. Particularly, sodium excretion of women seems to be overestimated with Tanaka’s equation [31, 49, 52], and sodium excretion of men is probably underestimated . Two studies found results with Toft’s equation to correlate better with 24-h urine samples compared with Tanaka’s equation [31, 52]. The precision of estimates seems to be influenced by the level of sodium intake [51, 53], as well as the time of spot urine sampling [24, 49, 53].
The timing of spot urine sampling could indeed partly explain deviating results. Some evaluation studies [50, 51] used one timed spot urine sample (first morning or fasting morning urine samples, respectively). In DEGS and three equation development studies [31, 32, 35], however, casual spot urine samples (which are not collected at a specific time) were used. Diurnal rhythm of sodium excretion, with a low sodium excretion rate in the morning and higher sodium excretion rate in the afternoon, has been demonstrated [54–57]. The circadian rhythm is independent of meals, activities and sodium content of the meals . The acrophase is between 15:00 and 16:00 , and the amplitude of the circadian rhythm is approximately 25 %  or 50 % to 60 % , respectively. This diurnal rhythm is expressed in lower estimated daily sodium excretion based on morning spot urines and higher estimated daily sodium excretion based on afternoon spot urines . Thus, Kawasaki et al. (1993) developed their equation based on generally lower sodium concentrations in morning urine samples. In comparison, other researchers included the diurnal variability of sodium concentrations by using casual urine samples (in common with DEGS samples). Therefore, it can be suspected that estimated daily sodium excretion using Kawasaki’s equation likely overestimates sodium intake of the German population. The impact of timing of the urine samples is even more complicated in considering the dipping status of hypertensives. Normally, blood pressure falls at night (dipper) which is accompanied by lower sodium excretion . In some people, blood pressure does not fall at night (non-dipper), and this lack of change seems to be associated with an increased nocturnal sodium excretion that blunts or even reverses the circadian rhythm of sodium excretion. The dipping status is also associated with the level of sodium intake and might also be related to salt sensitivity .
There is agreement that extrapolation of the sodium concentration in spot urines to the daily sodium excretion with the applied equations is inadequate for the estimation of an individual’s sodium intake [32, 51]. The equations were developed to estimate the population mean of sodium excretion from spot urine collections for comparing various groups, populations and annual trends as stated by Tanaka et al. . We found that even in this approach, the available methods are potentially misleading for the stated reasons and reflected by the presented results. Consistent with this idea, Ji et al.  concluded that methods based on spot urines to estimate sodium intake in populations are likely to produce biased results and are not reproducible. However, other assume that spot urine samples extrapolated with Browns equation result in a reasonable estimate of key population indicators . However, the need for more reliable alternatives to the 24-h urine collection to monitor sodium intake level in populations has been noted several times [22, 23, 60, 61].
Although 24-h urine sampling is considered the gold-standard to assess sodium intake, it also comprises some limitations that are valid for the use of spot urine samples too. First, people do not eat the same foods in the same amounts every day. Hence, an intra-individual day-to-day variance of sodium intake should be assumed. The magnitude of this variance depends on individual habits, and it is difficult to estimate on a population level. Based on two 24-h urine samples of 133 Americans, Wang et al.  expected the within-person-variability of sodium excretion to be 23 % (black people) and 19 % (other races).
Second, to assess the sodium intake within a day, the complete intake of sodium should be analyzed. This assessment is possible by a duplicate diet study, but it is a costly approach and very burdensome for participants. Alternatively, the sodium excretion in urine within 24 h can be analyzed. This approach is easier to implement and it is believed that sodium in 24-h urine is a good measure of intake presuming a balance of sodium intake and urinary sodium excretion. Indeed, sodium excretion in sweat (~3 mmol/d) and feces (~3–4 mmol/d) can be neglected under normal conditions . However, sodium intake and excretion seems to not always be balanced . At high sodium intake (400 mmol/d and more), significantly less sodium is excreted in urine, which results in a positive sodium balance. In contrast, at low sodium intake levels (~50 mmol/d), significantly more sodium is excreted in urine (negative sodium balance)—at least on the first day of the intervention. However, sodium intake equals urinary excretion at a sodium intake level that is supposed to be normal (~200 mmol/d) . The notion that 24-h urine sampling is the gold standard to measure daily sodium intake  is further challenged by the observation that the variability of daily sodium excretion is not only determined by the variation of consumption habits as mentioned before. Rakova et al.  found that sodium excretion was subject to a weekly rhythm in a highly controlled study at defined sodium intake levels (103, 154, and 205 mmol) over at least 29 days per level. This marked variability in urinary sodium excretion at a constant sodium intake seems to be endocrine-driven. The Mars flight simulation data confirmed the steady-state-concept of sodium – within a time frame of weeks, but not within one day . The agreement between one single carefully collected 24-h urine and the corresponding recorded daily sodium intake (103 - 205 mmol sodium per day) are not sufficient to detect 50-mmol differences in individual sodium intake . The identified rather low precision in assessing sodium intake on a daily basis is consequently also present when daily sodium excretion is extrapolated from spot urine concentrations. This means that the predictive value of one single 24-h urine (measured or extrapolated) to classify individual sodium intake is low. However, assessing the average sodium intake in populations is probably not biased by this finding because equal deviations from the predicted sodium intake in either direction are present . The detection of the storage and accumulation of sodium in different tissues like skin provides an explanation where sodium is retained and released during the observed rhythm of excretion .
In the first representative investigation of sodium intake of adults in Germany measured by sodium excretion, much higher intake levels were identified for most of the population as recommended by the WHO and other institutions (irrespective of the applied equation). The available equations to extrapolate sodium excretion from spot urine to 24 h result in different mean estimates as well as variable intake ranges. The resulting estimates are likely biased. Therefore, better methods to estimate sodium intake on a population level need to be applied. This estimation could be either by implementing costlier investigations (such as 24-h urine collection on population level) or to refine the extrapolation when using casual spot urine samples. The latter should include the derivation of an equation based on the investigated population using 24-h urines of a representative subpopulation. It should consider the timing of urine sampling to account for the circadian rhythm of sodium excretion. Such an extrapolation should also consider ethnicity and comprise the entire range of sodium excretion, in addition to sex, age, body mass and body height and creatinine excretion. The adjustment of the dipping status of hypertensive people, which affects the circadian rhythm of sodium excretion, is important but difficult to assess in population-based studies.
AHA, American Heart Association; AI, adequate intake; BMI, Body Mass Index; DEGS1, German Health Interview and Examination Survey for Adults; DGE, Deutsche Gesellschaft für Ernährung, German Nutrition Society; EFSA, European Food Safety Authority; ICC, Intraclass Correlation Coefficient; IOM, Institute of Medicine; MQL, Method Quantification Limit; NVSII, Nationale Verzehrsstudie II, German National Nutrition Survey II; ÖGE, Österreichische Gesellschaft für Ernährung, Austrian Nutrition Society; SGE, Schweizerische Gesellschaft für Ernährung, Swiss Nutrition Society; UI, Tolerable Upper Intake Level; WHO, World Health Organization
DEGS1 is funded by the German Ministry of Health (BMG).
Availability of data and materials
DEGS data are available as public use file at RKI homepage (http://www.rki.de/DE/Content/Gesundheitsmonitoring/PublicUseFiles/informationen_datensaetze/info_datensaetze_node.html).
SK planed and performed data analysis, drafted and revised the manuscript. MT is responsible for the measurement of urine samples and revised the manuscript. MT and GM were involved in the design and conduct of DEGS1. GM contributed to data analysis and revised the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Consent for publication
Ethics approval and consent to participate
The DEGS1 study protocol was consented with the Federal and State Commissioners for Data Protection and approved by the Charité-Universitätsmedizin Berlin ethics committee in September 2008 (No. EA2/047/08). Informed consent was obtained from all participants.
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