Iodine is an important nutrient for human health and normal thyroidal function as it is an essential trace element in thyroid hormones. Iodine deficiency is therefore a common cause of hypothyroidism and goitre globally(Reference Hetzel1). In 1993, WHO and UNICEF recommended universal salt iodisation as the most optimal strategy to ensure iodine sufficiency for all individuals worldwide(2). The challenge of preventing and curing iodine deficiency is ongoing and positive results have been achieved(Reference Zimmermann and Andersson3); however, regular monitoring of iodine intake in various populations is important for maintaining iodine sufficiency(Reference Pearce, Andersson and Zimmermann4).
Monitoring of iodine nutrition requires a valid biomarker. As goitre is a somewhat late indicator of iodine deficiency(Reference Zimmermann5), measurement of thyroid volume is only used in special cases. The dominant and recommended method for examining iodine intake at a population level is to measure iodine excretion from median urinary iodine concentration (UIC) in spot samples. According to the definitions set by WHO for school-age children at a group level, a median UIC 50–99 µg/l corresponds to mild deficiency, 20–49 µg/l to moderate deficiency and < 20 µg/l to severe iodine deficiency, while a median UIC 100–199 µg/l corresponds with adequate iodine nutrition(2). This method has, however, some challenges(2). These UIC levels cannot be extrapolated to adults directly, as adults have larger urine volumes; it has been suggested that an adult-specific cut-off range of 60–70 µg/l can be used for iodine sufficiency(Reference Zimmermann and Andersson3).
In addition, spot UIC shows a diurnal rhythm. Over 24 h, approximately 90 % of an individual’s iodine intake is excreted(2,Reference Zimmermann5,Reference Nath, Moinier and Thuillier6) . Therefore, 24-h urinary iodine excretion (24UIE) is a better biomarker for iodine nutrition than spot UIC, where fourteen repeated samples may be needed to estimate an individual’s iodine intake(Reference Remer, Fonteyn and Alexy7,Reference Vejbjerg, Knudsen and Perrild8) . Spot UIC has a high day-to-day variability(Reference Rasmussen, Ovesen and Christiansen9) and is also dependent on seasonal variations in iodine intake(Reference Rasmussen, Ovesen and Christiansen9–Reference Moreno-Reyes, Carpentier and Macours11), differences in fluid intake(Reference Remer, Fonteyn and Alexy7) and the diurnal rhythm of UIE(Reference Als, Helbling and Peter12,Reference Sackett-Lundeen, Nicolau and Lakatua13) . Hence, the timing of spot sample collection is of importance, which is confirmed in some(Reference Rasmussen, Ovesen and Christiansen9,Reference Als, Helbling and Peter12,Reference Andersen, Sorensen and Krejbjerg14) but not all studies(Reference Wang, Cogswell and Loria15). 24UIE is currently the gold standard(2,Reference Vejbjerg, Knudsen and Perrild8) , but the challenge of obtaining complete 24-h urine collection limits its use.
If it is not possible to measure 24UIE, estimated 24UIE (e24UIE) can be calculated by an equation based on spot UIC, spot urinary creatinine concentration and standard population data for the expected 24-h creatinine excretion based on sex and age(Reference Kesteloot and Joossens16,Reference Knudsen, Christiansen and Brandt-Christensen17) . Sometimes, UIC concentration adjusted for diuresis by urinary creatinine is used (UIC/Cr).
A systematic review from 2015 underlines the importance of further studies to investigate whether the time of sampling is of importance when estimating 24UIE: this is a knowledge gap(Reference Ji, Lu and Dary18). We therefore aimed at determining the optimal time point to estimate 24UIE. We also explored, for the first time, the excretion rate of iodine per hour over 24 h.
Methods
Participants and background information
A description of the study population and sample collection has been published elsewhere(Reference Sallsten and Barregard19). In total, eighty-two individuals were asked to join the study, eleven refused and eleven did not fulfil the study entry criteria. Finally, sixty healthy participants (thirty-one women and twenty-nine men) without medical history of diabetes, kidney disease, hypertension or self-reported medications for chronic disease were included and examined in 2012–2013. All subjects were non-smoking and were mainly employees or students at the University of Gothenburg and Sahlgrenska University Hospital in Gothenburg. The age range was 21–64 (mean 34) years. Most participants were born in Sweden, but twenty-two subjects were born in other countries (Iran, Iraq, USA, Russia, Finland, South Korea, Kyrgyzstan and Ukraine). They all completed a short questionnaire about relevant food habits and personal information such as country of birth, height and weight(Reference Sallsten and Barregard19). Median BMI was 23 kg/m2 (range 19–44), and median fish consumption was 2 meals/week (range 0–7). One female subject was the only vegetarian. The participants had no dietary restrictions during the study.
Urine sampling and study design
Complete 24-h urine collection was conducted at specified times of the day on two different days separated by an interval of approximately 1 week. Sampling was performed during weekdays. In the morning of the starting day, upon rising, participants were instructed to discharge the first void of the day, recording the date and time as the starting point for the 24-h urine sampling. The participants were instructed to urinate at six fixed times (09.30, 12.00, 14.30, 17.30, 22:00 hours and first void the next morning). They were instructed to collect each void at the specific time in a separate bottle, recording the time of each void. If they needed to urinate in between the fixed times, they used the next bottle and then filled it again at the specified time point. On the next morning, they collected the first void of the day, representing the overnight urine sample. Participants were instructed to store their urine samples in a refrigerator and return all samples on the day they completed the collection.
Spot urine samples were collected in 1000 ml high-density polyethylene bottles with polypropylene screw caps (Bibby Sterilin Ltd) using no preservatives. Total volume and collection times were recorded for each urine sample. All urine samples were aliquoted into 2 ml polypropylene micro tubes (Sarstedt) and frozen within 8 h (–80°C).
Chemical analyses
Analysis of UIC was performed at the National Institute of Occupational Health in Oslo, Norway. The laboratory regularly takes part in external quality control programs. Methods for metal analyses in urine, as well as levels and variability of twenty-two elements in 24-h urine, have been described in detail elsewhere(Reference Barregard, Ellingsen and Berlinger20). Urine samples were analysed by inductively coupled plasma sector-field MS. SeronormTM Trace Elements (SeronormTM, Sero AS) urine quality control materials were used for quality assurance. Two quality control samples (Seronorm L1 (lot 1403080) and Seronorm L2 (lot 1403081)) were used for urine: the respective UIC results (mean) compared with recommended values were 88 (sd 9·6) µg/l (n 16) v. 105 µg/l and 273 µg/l (sd 9·8) (n 16) v. 297 µg/l.
A UIC subsample (n 22) was analysed at the Department of Clinical Nutrition, University of Gothenburg (Gothenburg, Sweden) using the Pino modification of the Sandell–Kolthoff reaction(Reference Pino, Fang and Braverman21). The laboratory is evaluated for analytical accuracy every 3 months and successfully participates in the EQUIP network (US Centers for Disease Control and Prevention). Validation of the UIC analysis against inductively coupled plasma MS at the Genomics and Biomarkers Unit in Finland is performed as part of the EUthyroid project (Helsinki, Finland). The two methods had a high Spearman’s coefficient of correlation (r s = 0·96, P < 0·001).
Analyses of creatinine in urine were performed in fresh urine, kept at 4°C until analysis within 3 d of collection, using Roche Creatinine enzymatic assay on a Cobas 6000 analyser (Roche Diagnostics Scandinavia AB, Sweden) with a limit of detection of 0·01 g/l and traceable to international standardisation with isotope dilution MS.
Calculated variables
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UIC (µg/l). UIC is the iodine concentration in spot urine samples.
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UIC/Cr (µg/g creatinine). UIC from spot urine sample divided by urinary creatinine concentration.
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e24UIE (µg/24 h). Estimated 24UIE formula: iodine (µg/l)/((urinary creatinine (g/l)/expected creatinine excretion (g/d))(Reference Knudsen, Christiansen and Brandt-Christensen17).
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24UIE (µg/24 h). Iodine (µg) during 24-h collection (summed for each spot sample) and adjusted to 24 h.
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Iodine excretion per hour (iHr) (µg/h). Iodine in µg (UIC × volume) divided by the collection time in hours.
Since the distributions were skewed, descriptive results are reported as geometric means (sd). Normality was tested with the Shapiro–Wilk test and visually assessed by Q-Q plots and box plots. Outliers were visualised by scatter plots, and one outlier was then excluded from the analysis (apart from the intra-class correlation (ICC), see below). Median and mean values for total urine volume, 24-h urinary creatinine, UIC, 24UIE and e24UIE were calculated from individual 2-d means (except from one subject who only collected urine on 1 d). Spearman’s correlation coefficient (r s ) was used to compare e24UIE at various points of time with 24UIE in the total group as well as separately in men and women. The Mann–Whitney independent sample test was used when comparing differences in iodine intake (e24UIE, UIC and 24UIE) and comparing iHr between men and women.
For each of the six sampling time points, the difference and the ratio between e24UIE and 24UIE were calculated for all participants and for men and women separately. Wilcoxon’s signed rank test was used to assess whether the differences were significantly different from zero.
The within- and between-individual variance components were estimated after natural log-transformation of 24UIE and e24UIE for the six different time points using PROC MIXED in the SAS software package (version 9.4 SAS Institute). The estimated ratio of the between-individual biomarker variance to total observed variance (the ICC) was calculated. The attenuation in a hypothetical log(exposure) to log(response) relationship in an individual-based study design was calculated, that is, the ratio between the regression slope estimated in the study (β est ) and the true regression slope (β true ). The degree of attenuation for a given measure of 24-h iodine was determined from the estimated variance components using the relationship:
$$b = {{{{\beta _{est}}}}\over{{{\beta _{true}}}}} = {\left( {1 + {{\lambda }\over{n}}} \right)^{ - 1}}$$
where bias is 1–b, λ = σ 2 wY /σ 2 bY , n is the number of repeated measurements per individual, σ 2 wY is the within-individual variance and σ 2 bY is the between-individual variance(Reference Rappaport and Kupper22). CV was determined from: CV = √(e^(σ 2 wY )–1)(Reference Rappaport23).
Data were processed and analysed in Excel 2016 (Microsoft) and SPSS version 24.0 (IBM). Statistical significance was set at P < 0·05. iHr and iodine excretion in 24-h sampling were calculated from urinary concentrations, volumes and sampling times. For the assessment of variability, the UIC from the two separate samples at each time point over 24 h had to be used.
Results
All participants provided urine samples with a total 24-h volume > 800 ml and total sampling time > 20 h except for one participant who missed part of the overnight sample on one of the two urine collection days. Sampling was reported to be complete for all other participants. Total urine volume and analyses of 24-h creatinine confirm a good degree of completeness for urine collections(Reference Sallsten and Barregard19). One subject collected all urine from 14.30 hours at 22.00 hours instead of urinating at the fixed time of 17.30 hours; however, the 24-h sampling for this person was still complete and was therefore included in analyses.
One outlier (24UIE 3463 µg) was found when analysing urine samples from day 2 and was therefore excluded from the subsequent statistical analyses, apart from the ICC. We have been in contact with this individual and have not found any reason why the iodine level over day 2 was exceptionally high.
Urinary iodine among participants
The urinary iodine levels (UIC, 24UIE and e24UIE) of all subjects, and men and women separately, are described in Table 1. Median urine volume over 24 h was 1·58 l for all subjects, 1·53 l for men and 1·61 l for women. Median 24-h creatinine concentration was 0·94 g/l for all subjects, 1·26 g/l for men and 0·76 g/l for women. Total urinary volume and creatinine excretion have also been described in more detail elsewhere(Reference Sallsten and Barregard19). Median UIC was 104 µg/l for all subjects, 119 µg/l for men and 83 µg/l for women. Median 24UIE was 156 µg/24 h for all subjects, 174 µg/24 h for men and 130 µg/24 h for women. Median e24UIE was 141 µg/24 h for all subjects, 156 µg/24 h for men and 126 µg/24 h for women. There were significant differences in iodine excretion between men and women when comparing median UIC (P < 0·001), median 24UIE (P = 0·001) and median e24UIE (P < 0·001).
Table 1. Iodine status of the study subjects
(calculated from individual 2-d means)
24UIE, 24-h urinary iodine excretion; e24UIE, estimated 24-h urinary iodine excretion; IQR, interquartile range; UIC, urinary iodine concentration.
* Day 2 outlier data for one subject excluded.
Diurnal variation and the urinary excretion per hour over a 24-h period
Fig. 1 shows that the peak iHr occurred in the afternoon (14:30 h) and was lowest in the first morning urine (first void). UIC/Cr follows the pattern of iHr relatively well, while this is not the case for UIC which peaked in the morning and at night with lower levels in the middle of the day. Median iHr was higher for men than women (7·4 and 5·3 µg/h, P < 0·001).
Fig. 1. Geometric mean for iodine concentration spot urine samples (UIC as µg/l), UIC adjusted for urinary creatinine (UIC/Cr as µg/g creatinine), iodine excretion per hour (iHr as µg/h) and estimated 24-h urinary iodine excretion (e24UIE as µg/24 h). The geometric mean of 24-h urinary iodine excretion (24UIE as µg/24 h) is represented by a line for comparison. Day 2 outlier data for one subject excluded. The geometric mean is calculated from individual 2-d means.
Validity of estimated 24-h urinary iodine excretion: the gold standard
The four different ways of measuring urinary iodine (UIC, UIC/Cr, e24UIE and iHr) in comparison with the geometric mean 24UIE (156 µg/24 h) are shown in Fig. 1. Geometric mean values and standard deviations (range) are also presented in Table 2. Table 3 shows the mean of the ratio between 24UIE and e24UIE for all time points. The difference (24UIE subtracted by e24UIE) was calculated and tested if significantly different from zero. When comparing the geometric mean of e24UIE and 24UIE, respectively, the optimal time points seem to be at 14.30 and 22.00 hours (Fig. 1), but all voids from 09.30 hours onwards showed good agreement (Table 3). The most inappropriate time point would appear to be the first void in the morning (Fig. 1), which differs significantly from 24UIE (Table 3). When analysing the most optimal time points, correlation was highly significant at 14.30 hours (r s = 0·71, P < 0·001) and 22.00 hours (r s = 0·74, P < 0·001). When comparing the geometric means of 24UIE and e24UIE for men and women separately, the correlations were high at 14.30 and 22.00 hours (r s > 0·7, P < 0·001) (Fig. 2(a)). In addition, correlation was high for the first void (r s = 0·75, P < 0·001) (Fig. 2(b)), even though e24UIE was systematically too low.
Table 2. Iodine excretion parameters at different sampling time points and 24UIE (calculated from individual 2-d means) as reference for the sixty participants
(excluding day 2 outlier data for one subject)
24UIE, 24-h urinary iodine excretion; e24UIE, estimated 24-h urinary iodine excretion; GSD, geometric standard deviation; iHr, iodine excretion per hour; UIC, urinary iodine concentration; UIC/Cr, UIC divided by urinary creatinine concentration.
Table 3. Mean of the ratio between e24UIE and 24UIE at different sampling time points
(calculated from individual 2-d means)
24UIE, 24-h urinary iodine excretion; e24UIE, estimated 24-h urinary iodine excretion; NS, not statistically significant (P > 0·05).
* Day 2 outlier data for one subject excluded.
Fig. 2. Scatter plots showing positive correlation between (a) geometric mean of iodine excretion over 24-h sampling (GM24UIE) and geometric mean of estimated 24-h excretion based on an evening sample (GMe24UIE 22.00 hours) (r s = 0·743) and (b) gm24uie and geometric mean of estimated 24-h excretion based on a first void sample (GMe24UIE first void) (r s = 0·745). The regression lines display the association between the two variables and without an intercept. Day 2 outlier data for one subject excluded. The geometric mean is calculated from individual 2-d means.
Variability in 24-h excretion of iodine
The variability between days dominates for 24UIE and for the different time points for e24UIE (Table 4). The ICC for 24UIE was 0·35. The within-individual variance component was 0·178 (calculated from the total variance of 0·276 and the ICC of 0·354) which can also be expressed as CV of 44 % (34 % if excluding outlier sampling day 2). As expected, excluding one outlier reduced the total variance. In an epidemiological study examining outcome as function of iodine exposure using an individual-based design, the slope would be lower than the true slope, that is, the bias of the slope (b) would be large (47–90 %), if the iodine exposure is estimated from only one sample per individual. To achieve 70–80 % of an assumed true slope, at least five samples per individual are needed: either 24UIE or e24UIE during different days using one of the sampling time points 09.30, 12.00 and 22.00 hours or the first void.
Table 4. Total variance, ICC, λ and b for 24UIE and e24UIE at different sampling time points (using two separate samples at each time point over 24 h). Attenuation (b) in a hypothetical log (exposure) to log (response) relationship in an individual based study design is presented
24UIE, 24-h urinary iodine excretion; e24UIE, estimated 24-h urinary iodine excretion; ICC, intra-class correlation (ratio of the between-individual variance/total observed variance); λ, within-individual variance/between-individual variance.
* b (estimated slope/true slope) with n samples/individual.
† Day 2 outlier data for one subject excluded.
Discussion
Major findings
Our study included 720 urine samples from sixty healthy individuals. It compared different ways of evaluating UIC in relation 24-h iodine excretion to determine whether urinary iodine sampling can be improved. Our results showed that iHr is highest in the afternoon. The excretion rate reflected diurnal variation better than UIC. According to our results using e24UIE, UIC should be measured in urine samples after 09.30 hours and not in the first void.
Urinary iodine compared with other national studies
Iodine intake in populations is nowadays mainly monitored by urine samples and measuring UIC(2). However, due to its limitations, other methods are now being developed. Blood samples and measuring thyroglobulin as a marker for iodine deficiency have been studied and might be a way of monitoring iodine intake in the future due to lower variability(Reference Zimmermann, Aeberli and Andersson24,Reference Ma and Skeaff25) . For now, the most common way of monitoring iodine intake remains the collection of urinary samples: improvement of standard methods is therefore still relevant. It is important to perform this type of study under conditions of iodine sufficiency since iodine deficiency may affect the physiology of iodine excretion. We performed the present study in an adult population of men and women sampled in 2012 and 2013. UIC levels are presented in Table 1 and are in accordance with the cut-off levels suggested for iodine sufficiency in adults(2). This also agrees with the results in several local studies(Reference Filipsson Nyström, Andersson and Berg26,Reference Milakovic, Berg and Nystrom27) and a national survey in 2007 in school-age children that confirmed iodine sufficiency in the Swedish population(Reference Andersson, Berg and Eggertsen28). The most important sources for iodine intake in Sweden are iodinated salt, sea food and dairy products as animal feed contains iodine(Reference Nyström, Brantsaeter and Erlund29).
Estimated 24-hour urinary iodine excretion compared with 24-h urinary iodine excretion and the value of specific time points when measuring iodine in urine samples
24UIE is a more specific method than UIC to estimate and measure iodine excretion(Reference Als, Haldimann and Burgi10) and is often used as a reference when validating other methods(Reference Nath, Moinier and Thuillier6). It is not surprising that e24UIE(Reference Knudsen, Christiansen and Brandt-Christensen17) was the variable that was most comparable to the true 24UIE, since e24UIE considers creatinine, UIC and expected creatinine excretion. Creatinine is often used as a correction factor for the urine volume(Reference Vejbjerg, Knudsen and Perrild8) but has been questioned by WHO and considered ‘unreliable’ when correcting iodine concentration(2). According to Knudsen and colleagues(Reference Knudsen, Christiansen and Brandt-Christensen17), the algorithm for e24UIE provides a better and unbiased estimate of iodine excretion in epidemiological surveys than UIC/Cr. Using the first void sample for e24UIE, we underestimated the individual 24UIE by on average 12 %, while the differences between e24UIE and 24UIE were small and non-significant at the time points from 09.30 h and onwards (Table 3).
It is well known that UIC varies during the day. A Swiss study from year 2000 (n 3023 adult subjects) reported that iodine concentration follows a diurnal rhythm with a nadir at 11.00 hours and the highest value at 22.00 hours. It follows a pattern with successive increase during the day with peaks 4 h after every daily meal, indicating that the iodine excretion is relatively rapid after iodine intake(Reference Als, Helbling and Peter12). Also, a Danish study suggested that certain time points during the day are more preferable than others when estimating 24UIC(Reference Rasmussen, Ovesen and Christiansen9), since the fasting morning sample seems to underestimate the true value. Our results agree with these studies and show that the first void sample underestimated daily iodine excretion and the optimal time point for sampling would appear to be later during the day.
However, if the most important aim of a study is not to estimate the true 24UIE but to examine the relation between e24UIE and a health outcome, then spot samples from late in the evening or in the morning until noon seem to be the best choice (Table 4). According to our results, at least five samples per individual are needed to achieve a bias of not more than 20–30 % compared with the true slope.
Iodine excretion per hour
In our study, iHr has been calculated in humans for the first time. This is important since it reflects iodine excretion from the kidneys and gives new knowledge on basic human physiology. It is also clear that iHr varies during the day (Fig. 1), probably mainly depending on food habits. The correlation between urinary iodine and daily food intake is well known, and it is estimated that urinary iodine approximately reflects food intake over the previous few hours(Reference Als, Helbling and Peter12). In Sweden, and in Gothenburg where the study took place, normal bedtime hours are between 22.00 and 06.00 hours during workdays. Work hours are normally between 08.00 and 17.00 hours, with a 1-h lunch break at 12.00–13.00 hours. It is therefore reasonable to assume that breakfast takes place between 06.00 and 07.00 hours, lunch between 12.00 and 13.00 hours and dinner between 18.00 and 21.00 hours. Fig. 1 shows the variability of iHr and that the excretion rate per hour was as highest at 14.30 hours, presumably reflecting iodine intake during lunch. The 24-h variation of urinary specific gravity does not follow the same pattern as iHr since it peaks in the morning(Reference Sallsten and Barregard19) and shows that iHr is likely not dependent on the concentration of solutes in urine. Median iHr was higher in men than in women. This is probably because of differences between men and women in iodine intake during the day, which is also reflected by differences in urinary iodine between men and women in our study population (Table 1). This agrees with a Norwegian population study which showed that self-estimated iodine intake and 24UIE were higher among men than women in a Nordic population(Reference Madar, Heen and Hopstock30).
UIC/Cr as a marker for iodine excretion
UIC is highest in the first void and lowest around noon (Fig. 1), which is probably due to differences in urinary volume during the different sampling times. Urinary creatinine is commonly used for normalising concentrations of biomonitoring results in urine spot samples, which would otherwise be greatly affected by varying diuresis(Reference Boeniger, Lowry and Rosenberg31) and is a frequently used adjustment factor for urinary iodine when assessing iodine intake at a population level. However, urinary creatinine has been questioned as an adjustment factor alone when predicting iodine intake by measuring UIC(2), since it varies depending on muscle mass, sex, ethnicity, age, and fluid and dietary protein intake(Reference Baxmann, Ahmed and Marques32).
Variability of daily iodine urinary excretion within and between individuals
It is already known that the variability of UIE within individuals is high(Reference Rasmussen, Ovesen and Christiansen9,Reference Wang, Cogswell and Loria15,Reference König, Andersson and Hotz33,Reference Andersen, Karmisholt and Pedersen34) , which makes long-term individual iodine intake difficult to evaluate(Reference Skeaff, Thomson and Eastman35). A Swiss study suggests that ten spot urine samples are needed in women for estimating 24UIE with 20 % precision(Reference König, Andersson and Hotz33). They also calculated within-individual CV and found that it was comparable between e24UIE and 24UIE but higher for UIC(Reference König, Andersson and Hotz33). Andersen et al.(Reference Andersen, Karmisholt and Pedersen34) have concluded that at least seven urine samples (collected between 09.00 and 12.00 hours) are needed to estimate 24UIE individually in men with a precision range of ±20 %. Evaluations of iodine intake based on urinary iodine should therefore be used as an indicator on population level and not on an individual level. To evaluate individual iodine intake, self-reported food surveys may be used. A diet that completely excludes common iodine sources can probably predict a risk of iodine deficiency since a diet where you avoid fish and seafood, iodine-fortified salt and/or dairy products in Scandinavia increases the risk of iodine deficiency(Reference Manousou, Stål and Larsson36). Thyroglobulin is a sensitive marker for iodine status and iodine intake at a group level, which follows a U-shaped relationship(Reference Zimmermann, Aeberli and Andersson24), but it has limitations. As an individual marker, thyroglobulin has low sensitivity and specificity(Reference Ma, Venn and Manning37).
Strengths and limitations of the study
A limitation of the study is that our results reflect the food habits and iodine intake of the normal Swedish population, and this should be considered when interpreting the results. We excluded the data for one sampling day from an individual with extremely high iodine excretion on that day. This had only a minor impact on geometric mean and median values reported here. As would be expected, inclusion of this sampling day had a stronger impact on variability, and therefore we report ICC and CV both with and without this outlier sampling day. UIC levels in this study agree with other studies for the Swedish normal population(Reference Filipsson Nyström, Andersson and Berg26–Reference Nyström, Brantsaeter and Erlund29). Also, this study includes 24-h sampling from two different days per individual. To the best of our knowledge, this study is unique since it also measured the iHr over the day and calculated the ICC based on variability within and between individuals.
Conclusions
According to our results, e24UIE is almost equal to 24UIE, which is considered the gold standard in this field. However, when using UIC from first void urine, e24UIE significantly underestimates 24UIE even though the correlation remains high. The iHr varies during the day and is lowest in the morning (first void) and highest after lunch (14.30 hours). Five urine samples per individual are needed to achieve 70–80 % of the true slope in an epidemiological study examining an outcome as function of iodine exposure using an individual-based design.
Acknowledgements
The authors thank Lena Hulthen for her contribution and Elisabeth Gramatkovski for performing the analyses of the subsample laboratory tests.
This study was financed by grants from the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (ALFGBG-790271), the Healthcare Board, Region Västra Götaland and the Region Västra Götaland, Sweden.
J. E., L. B., G. S. and H. F. N. designed the research. G. S. and L. B. recruited and organised the biobank. B. B., S. W., D. G. E. and H. F. N. were responsible for the iodine analyses. J. E., G. S., L. B., S. W. and H. F. N. performed the statistical analyses and figures. J. E. wrote the first manuscript draft with supervision by L. B., G. S., S. M. and H. F. N. J. E. and H. F. N. were responsible for funding acquisition. All authors read and approved the final version of the manuscript.
There are no conflicts of interest.
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