Skip to main content
The Journal of Nutrition logoLink to The Journal of Nutrition
. 2013 Jun 12;143(8):1276–1282. doi: 10.3945/jn.113.175927

Urinary Excretion of Sodium, Potassium, and Chloride, but Not Iodine, Varies by Timing of Collection in a 24-Hour Calibration Study

Chia-Yih Wang 5,*, Mary E Cogswell 6, Catherine M Loria 9, Te-Ching Chen 5, Christine M Pfeiffer 8, Christine A Swanson 10, Kathleen L Caldwell 8, Cria G Perrine 7, Alicia L Carriquiry 11, Kiang Liu 12, Christopher T Sempos 10, Cathleen D Gillespie 6, Vicki L Burt 5
PMCID: PMC6370020  NIHMSID: NIHMS1004980  PMID: 23761643

Abstract

Because of the logistic complexity, excessive respondent burden, and high cost of conducting 24-h urine collections in a national survey, alternative strategies to monitor sodium intake at the population level need to be evaluated. We conducted a calibration study to assess the ability to characterize sodium intake from timed-spot urine samples calibrated to a 24-h urine collection. In this report, we described the overall design and basic results of the study. Adults aged 18–39 y were recruited to collect urine for a 24-h period, placing each void in a separate container. Four timed-spot specimens (morning, afternoon, evening, and overnight) and the 24-h collection were analyzed for sodium, potassium, chloride, creatinine, and iodine. Of 481 eligible persons, 407 (54% female, 48% black) completed a 24-h urine collection. A subsample (n = 133) collected a second 24-h urine 4–11 d later. Mean sodium excretion was 3.54 ± 1.51 g/d for males and 3.09 ± 1.26 g/d for females. Sensitivity analysis excluding those who did not meet the expected creatinine excretion criterion showed the same results. Day-to-day variability for sodium, potassium, chloride, and iodine was observed among those collecting two 24-h urine samples (CV = 16–29% for 24-h urine samples and 21–41% for timed-spot specimens). Among all race-gender groups, overnight specimens had larger volumes (P < 0.01) and lower sodium (P < 0.01 to P = 0.26), potassium (P < 0.01), and chloride (P < 0.01) concentrations compared with other timed-spot urine samples, although the differences were not always significant. Urine creatinine and iodine concentrations did not differ by the timing of collection. The observed day-to-day and diurnal variations in sodium excretion illustrate the importance of accounting for these factors when developing calibration equations from this study.

Introduction

Evidence indicates excess dietary sodium intake is associated with increased blood pressure and subsequently increased risk of cardiovascular disease (15). To prevent cardiovascular diseases, the 2010 Dietary Guidelines for Americans recommend reducing sodium intake to <2.30 g/d and to 1.50 g/d for individuals ≥51 y and those of any age who are African American or have hypertension, diabetes, or chronic kidney disease (6). Monitoring sodium intake in the U.S. population is imperative to track current and future national sodium reduction efforts (7). The Institute of Medicine and the Pan American Health Organization both recommend the measurement of 24-h urinary sodium excretion as the gold standard for assessment of sodium intake (7, 8). To estimate the distribution of usual sodium intake within the U.S. population, e.g., the proportion of individuals who meet 2010 Dietary Guidelines, experts also recommend the collection of a second 24-h urine sample in a subsample to account for within-individual, day-to-day variability (9, 10). However, to date, no 24-h urine samples have been collected in U.S. nationally representative surveys, mainly for logistical reasons and the concerns about excessive respondent burden and poor data quality.

The NHANES is the primary data system that provides objective information to monitor the health and nutritional status in the U.S. population. The survey includes measures relevant to cardiovascular disease risk, such as medical history, blood pressure, blood lipids, medication use, dietary assessment, and linkage to U.S. mortality and morbidity data. Although timed-spot urine specimens are collected in the NHANES, they are not currently recommended to be used to assess and monitor sodium intake, largely because they do not provide good measures of an individual's sodium intake (7, 8). However, there are studies suggesting that timed-spot urine samples may be a valid low-burden and low-cost alternative to the 24-h collection for estimating sodium intakes at the population level (1114).

Diurnal variation in sodium excretion is well recognized (1315). However, data comparing different procedures, such as the timing of partial urine collection, for estimating 24-h sodium excretion are limited. In addition, some studies suggest that there is a difference in diurnal patterns of sodium excretion between black and white persons, which may potentially relate to the racial differences in hypertension status (2, 16). Very few studies evaluating the use of spot specimens in estimating 24-h sodium excretion have reported results for black persons (1719).

We designed a calibration study to examine the utility of timed-spot urine specimens, as collected in NHANES, for estimating intake of sodium and related analytes that may be affected by sodium reduction in the food supply, including potassium, chloride, and iodine (7). The objectives of this paper are to describe the study methods, characteristics of the participants, and the distributions of the analytes by race, gender, and the timing of the urine specimen collection. In addition, within-individual, day-to-day correlations of each analyte were presented for 4 race-gender subgroups. We also provided data on the completeness of the 24-h urine collections, including an assessment using expected 24-h creatinine excretion criterion.

Methods

Participants.

Participant recruitment procedures included announcements sent to employees of the National Center for Health Statistics and its contractor, Westat, and persons on a Westat database of people known to be interested in participating in human studies. Five hundred volunteers aged 18–39 y living in the Washington, DC metropolitan area were then invited to participate in the study during a phone contact at which a screener questionnaire was administered. Of these, 481 were scheduled for an initial visit to receive instructions on study protocol and 19 were not scheduled for the initial visit, because the sample target had been met. Recruitment of participants was stratified by gender and race to yield an equal number of men and women and ∼50% black or African Americans within each gender. The screener questionnaire (Supplemental Methods 1) administered during recruitment was used to exclude pregnant women or those trying to become pregnant, persons who reported taking loop diuretics, those with self-reported chronic kidney disease, or those with reported new or modified hypertension treatment in the past 2 wk from participation. During recruitment, volunteers were also asked 3 screening questions (see Screener Questionnaire in Supplemental Methods 1) pertaining to high- or low-dietary sodium intake to provide a study sample with wide range of sodium intake. These questions were developed using 2003–2008 NHANES dietary behavior and food consumption data (20). The goal was to recruit at least 50 participants (25 men and 25 women) who were more likely to be at the high end and 50 (25 men and 25 women) more likely to be at the low end of gender-specific sodium intake distributions.

Study design.

The study was conducted from June to August 2011 in Rockville, Maryland. Eligible participants were scheduled for an initial visit to have their weight and height measured and to receive detailed verbal and written instructions along with the collection kit for their 24-h urine collection. Each participant was randomly assigned to a weekday or weekend day to collect the 24-h urine sample. The target was to collect 50–70% of the samples within each gender during Monday to Thursday. The date to start the 24-h urine collection was scheduled for each participant within the assigned weekday/weekend category. A reminder call was placed to the participant the day before their scheduled starting date. On the morning of the starting day, upon rising, participants were asked to discard the first void of the day and record the date and time as the starting point for the urine collection period. They were instructed to collect all subsequent urine voids over the next 24-h period, including the first void of the following day. They were told to collect each void using a separate container and to record the date and time of each void on the container label. There were no preservatives in the urine containers. Participants were instructed to store their urine samples in a refrigerator or in the provided insulated bag with icepacks. They were asked to return their urine samples the day they completed the collection. The length of collection, total urine volume, and the responses to 8 questions asked in person upon return of the specimens were used to assess the completeness of the collection (Supplemental Methods 2). If the urine sample was determined to be complete, a 24-h dietary recall interview was administered. The urine sample was considered incomplete or invalid if any of the following occurred: 1) the total 24-h urinary volume was <500 mL; 2) a female participant reported menstruation during the collection period; 3) the reported length of collection was <20 h; or 4) more than one void was reported as missed or urine was spilled or lost more than once during the collection. If the collection was incomplete or invalid, the participant was offered the option to redo the 24-h collection. If the participant was unable or unwilling to redo the collection, the existing 24-h sample was omitted from the analysis.

One-third of the participants with complete collections were invited to collect a second 24-h urine 4–11 d later, but not on the same day of the week as the first 24-h urine collection. A convenience sampling approach was used to yield an equal number of participants in each of the 4 race-gender categories for this second urine collection. The entire protocol was repeated, including the follow-up questions to assess completeness of the urine collection. A second 24-h dietary recall was administered to those with complete urine collections.

The study protocol was approved by the National Center for Health Statistics Ethics Review Board and written informed consent was obtained from all participants.

Urine processing and laboratory measurements.

Once the urine samples were returned, each separate void was weighed and a 25-mL composite, 24-h urine sample was prepared by taking a proportional aliquot from each void as following: amount of aliquot from each void (mL) = [separate void volume (mL)/total volume from all voids (mL)] × 25. In addition, 4 timed-spot urine specimens were selected from each 24-h urine collection period: 1) morning sample, the first void occurring between 0830 and 1230 h; 2) afternoon sample, the first void occurring between 1231 and 1730 h; 3) evening sample, first void occurring between 1731 and 2359 h; and 4) overnight sample, the first void after the longest period of sleep and occurring between 0400 and 1200 h the next morning. The 4 timed-spot specimens correspond to the time of day when the NHANES timed urine samples are collected under the current survey protocol. A 1-mL (sodium, potassium, chloride, and creatinine) and 1.8-mL (iodine) aliquots were then taken from the composite 24-h urine sample and the 4 timed-spot urine specimens and vials were sent to the laboratories at CDC's National Center for Environmental Health for analysis. All vials were shipped frozen on dry ice within 7 d of collection. Urine specimens were analyzed for sodium, potassium, and chloride using ion-selective electrodes and the Cobas ion-selective electrode/Na+, K+, Cl− assay on the Hitachi Modular P clinical analyzer (Roche Diagnostics). Urine creatinine was analyzed using the Roche Creatinine Plus enzymatic assay on the Hitachi Modular P clinical analyzer (21). Each analytical run (n ∼60–70) contained 100 study samples and 2 levels of commercially prepared urine quality control (QC) materials (Cliniqa) measured in duplicate at the beginning and end of the run bracketing the study samples. The between-run measurement imprecision was: 0.8–0.9% for sodium (67 and 159 mmol/L), 1.7–3.4% for potassium (29 and 81 mmol/L), 1.0–1.1% for chloride (86 and 190 mmol/L), and 1.1–1.5% for creatinine (5.3 and 13.2 mmol/L). Urine iodine was measured using an Inductively Coupled-Plasma Dynamic-Reaction Cell Mass Spectrometer ELAN DRC Plus (PerkinElmer Instruments) (22). The between-run (74 analytical runs; 20–50 study samples/run) measurement imprecision using 2 levels of in-house QC material was 1.9–2.7% (93 and 308 μg/L). QC samples contained within each analytical run for all analytes were evaluated for validity by use of a multi-rule QC program (23). Persons taking thyroid medications were excluded from iodine analysis.

Other measurements.

Black or African American participants were identified by the question “Do you consider yourself to be black or African American?” during the screening. No information on other races or ethnicities was collected; participants of races other than black were grouped as “other races” in the analysis. Weight and height were measured using the standard NHANES protocol (24) and were used to calculate BMI as weight in kilograms divided by squared height in meters. Based on their BMI, participants were classified as normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obese (BMI ≥ 30 kg/m2) (25). Because of limited sample size (n = 5), underweight participants (BMI < 18.5 kg/m2) were excluded from analyses using BMI categories. Dietary intake was obtained from 24-h dietary recall interviews administered in person with the standard NHANES protocol using the USDA's Automated Multiple-Pass Method (26). Nutrient intakes were calculated from reported foods and beverages consumed by participants using USDA's Food and Nutrient Database for Dietary Studies, version 5.0 (27), the same database used to report dietary data from the NHANES 2009–2010 cycle. This version of the Food and Nutrient Database for Dietary Studies is based on the National Nutrition Database for Standard Reference 24, which includes updated nutrient values for ∼1500 foods, including top contributors to sodium intake (27). Same as the dietary data in NHANES 2009–2010, the sodium value of reported foods was not adjusted based on self-reported salt use in cooking or preparing foods in the household (28). We log-transformed sodium and potassium intake data to improve the distributions toward normality. Logarithmic means and 95% CIs were back-transformed to geometric means and 95% CIs on the original scale.

Statistical analysis.

The amount of individual analytes in each urine specimen was calculated by multiplying the concentration of the analyte by the corresponding volume of the sample. The volume of the 24-h urine collection was adjusted for self-reported collection time as: (total volume collected/self-reported collection time) × 24. Statistical tests of differences between subgroups were performed using t tests at the P < 0.05 level. Adjustments for multiple comparisons when the 4 time-spot specimens or the 3 BMI categories were compared were performed using the Bonferroni method (29). Within-person CVs were calculated between the d-1 and -2 collections as the square root of the within-person variance divided by the mean of each analyte. We also calculated the ratio of within- to between-person variances to express the day-to-day variability.

In addition to the criteria mentioned in the study design section, we further assessed the completeness of urine collections using the ratio of observed:expected 24-h urine creatinine (Supplemental Methods 3).

The statistical analyses were conducted using SAS version 9.2 (SAS Institute).

Results

Of the 481 persons who were screened for eligibility and scheduled for an initial visit, 441 (92%) completed the appointment and received instructions and urine collection kits. A total of 407 (85%) persons returned a complete 24-h collection of urine specimens, 21 (4%) returned urine collections deemed as incomplete based on the length of collection, total urine volume, or self-reported information, and 13 (3%) did not return any urine. There were no gender, age, or race differences between participants who did not complete 24-h urine collections and those who completed a 24-h urine collection (Table 1). Of the participants with a complete 24-h urine collection, 133 (33%) completed a second 24-h urine collection 4–11 d later. Of those who completed 24-h urine collections, about one-half were female and one-half were black. Most of the participants who completed a 24-h urine collection also provided a complete 24-h dietary recall (n = 403, 99%, d 1; n = 133, 100%, d 2). Compared with those who only provided one 24-h urine collection, participants who completed a second 24-h urine collection were slightly older. However, gender, race, BMI, and self-reported dietary intakes of energy, sodium, and potassium did not differ between the 2 groups.

TABLE 1.

Characteristics of eligible study participants (n = 481)1

Participants who completed at least one 24-h urine collection
Participants who did not complete 24-h urine collection Total Participants who completed 2 d of collection Participants who completed only 1 d of collection
Sample size, n 74 407 133 274
Female, n (%) 35 (47.3) 221 (54.3) 72 (54.1) 149 (54.4)
Age, y 25.8 ± 5.1 27.0 ± 6.0 28.1 ± 6.0 26.4 ± 5.9*
Race, n (%)
 Black 44 (59.5) 196 (48.2) 68 (51.1) 128 (46.7)
 Other races 30 (40.5) 211 (51.8) 65 (48.9) 146 (53.3)
Self-reported hypertension diagnosis, n (%) 2 (2.7) 12 (3.0) 5 (3.8) 7 (2.6)
Thyroid medication users, n (%) 0 (0.0) 6 (1.5) 3 (2.3) 3 (1.1)
BMI, kg/m2 N/A2 27.8 ± 6.6 27.7 ± 6.7 27.9 ± 6.6
d 1 dietary intake
 Energy, kcal/d N/A2 2544 ± 1153 2497 ± 1113 2567 ± 1173
 Sodium, g/d N/A2 3.79 (1.53, 9.41) 3.69 (1.45, 9.39) 3.84 (1.56, 9.47)
 Potassium, g/d N/A2 2.65 (1.09, 6.41) 2.71 (1.09, 6.72) 2.62 (1.09, 6.30)
1

Values are means ± SDs or geometric means (95% CIs) unless otherwise noted. *Different from participants with 2 d of collection in a row, P < 0.05.

2

Data were not available for participants who did not complete 24-h urine collections.

On average, each participant collected 7 voids/d (range: 3–13) (Table 2). The mean 24-h urine volume was 1397 mL/person for d 1 and 1505 mL for d 2. All but 2 of the 540 urine collections were collected for a period between 20 and 28 h. Both collections that took longer than 28 h (28.5 and 34.5 h) were d 1 collections. All analyses of 24-h excretions were standardized to 24 h of collection time.

TABLE 2.

Characteristics of d 1 and 2 urine collections1

d 1 collection
Total (n = 407) Participants who completed 2 d of collection (n = 133) d 2 collection (n = 133)
Voids collected per person, n 6.9 (3–13) 7.3 (4–13) 7.0 (3–12)
Total urine volume, mL 1397 ± 654 (503–4534) 1558 ± 689 (503–4097) 1505 ± 771 (547–3746)
Total collection time, h 24.0 ± 1.1 (20.6–34.5) 24.0 ± 0.9 (20.8–28.5) 24.2 ± 1.0 (20.3–27.4)
Missed one void during collection 7 (1.7) 2 (1.5) 3 (2.3)
Total timed-spot specimens collected, n
 Morning 339 (83.3) 116 (87.2) 116 (87.2)
 Afternoon 389 (95.6) 127 (95.5) 126 (94.7)
 Evening 402 (98.8) 131 (98.5) 132 (99.3)
 Overnight 406 (99.8) 132 (99.3) 131 (98.5)
Timed-spot specimens provided by participants, n
 2 6 (1.5) 2 (1.5) 2 (1.5)
 3 80 (19.7) 22 (16.5) 23 (17.3)
 4 321 (78.9) 109 (82.0) 108 (81.2)
1

Values are means (range), means ± SDs (range), or n (%).

Fewer urine specimens were collected during the 0830 to 1230 h time period compared with other urine collection time periods. After discarding the first void on the morning of the initial day of collection, 17% of the participants did not urinate again until the afternoon. Approximately 80% of the d 1 and 2 collections had a timed-spot urine specimen for all 4 urine collection periods.

Completeness of the urine collections.

The completeness of the urine collections in the study was assessed by the length of collection, total urine volume, and the responses to a questionnaire similar to the one used in the International Cooperative Study on Salt, Other Factors, and Blood Pressure (INTERSALT) (31). Completion was defined as a set of urine samples collected through >20 h with total volume >500 mL and missing no more than one void during the collection. Only 7 (1.7%) participants on d 1 and 3 (2.3%) participants on d 2 with valid urine samples reported missing one void during their collections (Table 2). Exclusion of these data did not affect the distribution of estimates for any of the analytes reported and their data were included in this study.

We further verified the completeness of the 24-h urine collections using expected creatinine excretion (Supplemental Methods 3, Supplemental Tables 1-4). We conducted sensitivity analyses excluding individuals who did not meet the expected creatinine excretion criterion and found no effect on the reported mean urine volume or any of the analyte excretions (Supplemental Tables 2 and 3). Therefore, data from all 407 individuals are included in the analytic sample.

Urine analyte excretions measured in 24-h collections.

The means and percentile distributions of total urine volume and 24-h urine excretion of the 5 analytes measured are presented in Table 3 for each race and gender group. Compared with other races, black males and females had significantly lower total urine volume and potassium, but higher creatinine excretion. Females had lower creatinine excretion than males, regardless of race. Compared with males, females also had significantly lower sodium, potassium, and chloride excretions among participants of other races, but not among blacks. The observed iodine excretion did not differ by gender or race.

TABLE 3.

Distributions of total urine volume and 24-h excretion of sodium, potassium, chloride, creatinine, and iodine in the d 1 collection12

Percentile
Means ± SDs 25th 50th 75th
Total volume, mL
 Black male 1272 ± 532 884 1152 1574
 Black female 1252 ± 589 799 1163 1533
 Other male 1599 ± 814* 969 1288 2052
 Other female 1458 ± 569* 987 1346 1836
Sodium, g
 Black male 3.52 ± 1.61 2.28 3.34 4.61
 Black female 3.18 ± 1.32 2.35 2.91 3.95
 Other male 3.56 ± 1.43 2.66 3.20 4.09
 Other female 3.01 ± 1.21 2.12 2.87 3.74
Potassium, g
 Black male 1.89 ± 0.77 1.34 1.79 2.21
 Black female 1.70 ± 0.61 1.3 1.66 2.04
 Other male 2.35 ± 1.05* 1.72 2.04 2.79
 Other female 1.99 ± 0.68*,† 1.52 1.88 2.43
Chloride, g
 Black male 5.07 ± 2.27 3.39 4.89 6.42
 Black female 4.65 ± 2.02 3.35 4.25 5.43
 Other male 5.25 ± 2.18 3.88 5.02 5.99
 Other female 4.42 ± 1.76 3.17 4.32 5.32
Creatinine, g
 Black male 2.04 ± 0.62 1.66 2.07 2.42
 Black female 1.47 ± 0.36 1.23 1.47 1.67
 Other male 1.82 ± 0.47* 1.49 1.80 2.05
 Other female 1.23 ± 0.32* 0.99 1.24 1.37
Iodine, μg
 Black male 252 ± 226 109 171 293
 Black female 223 ± 245 103 140 237
 Other male 308 ± 292 139 225 374
 Other female 259 ± 265 133 185 310
1

The number of observations for total volume and sodium, potassium, chloride, and creatinine excretion are: black male (n = 89), black female (n = 107), male of other races (n = 97), and female of other races (n = 114). *Within an analyte, different from blacks within the same gender, P < 0.05. Within an analyte, different from males within the same race category, P < 0.05.

2

The number of observations for iodine excretion were: black male (n = 89), black female (n = 106), male of other races (n = 96), and female of other races (n = 109).

Urine analyte concentrations measured in timed-spot urine specimens.

Overnight specimens had a larger volume than other timed-spot urine samples across all race and gender groups (Table 4). There were no volume differences among morning, afternoon, or evening specimens, except for non-black females' morning specimens, which had a lower volume than the other timed-spot urine samples for this group. Compared with other timed-spot urine samples, overnight specimens also had lower sodium, potassium, and chloride concentrations across all race and gender groups. There were generally no significant differences in creatinine or iodine concentrations among different timed-spot urine specimens.

TABLE 4.

Mean urine volume and concentration of sodium, potassium, chloride, creatinine, and iodine in timed-spot urine specimens in the d 1 collection by race and gender12

Timing of spot urine collection
Morning Afternoon Evening Overnight
Total volume, mL
 Black male 184 ± 111a 173 ± 81a 184 ± 81a 257 ± 123b
 Black female 168 ± 108a 178 ± 91a 182 ± 104a 271 ± 178b
 Other male 206 ± 148a 233 ± 139a* 212 ± 100a* 321 ± 163b*
 Other female 159 ± 111a† 220 ± 125b* 199 ± 114b 288 ± 134c
Sodium, mmol/L
 Black male 141 ± 62a 146 ± 69a 139 ± 74a,b 121 ± 69b
 Black female 145 ± 64a 148 ± 72a 136 ± 75a,b 121 ± 54b
 Other male 123 ± 61a 117 ± 64a,b* 129 ± 66a 102 ± 57b*
 Other female 118 ± 58a* 104 ± 62a,b* 115 ± 63a* 97 ± 52b*
Potassium, mmol/L
 Black male 58 ± 35a 58 ± 35a 45 ± 31b 35 ± 23c
 Black female 55 ± 31a,b 56 ± 33a 48 ± 32b 32 ± 18c
 Other male 64 ± 35a 59 ± 33a 56 ± 35a* 36 ± 26b
 Other female 56 ± 33a 54 ± 38a 55 ± 35a 30 ± 19b
Chloride, mmol/L
 Black male 150 ± 71a,b 152 ± 76a 131 ± 70b 105 ± 62c
 Black female 150 ± 65a,b 155 ± 72a 133 ± 74b 105 ± 51c
 Other male 144 ± 72a 132 ± 73a,b 130 ± 67b 85 ± 55c*
 Other female 128 ± 66a* 121 ± 67a* 118 ± 66a 77 ± 45b*
Creatinine, mmol/L
 Black male 17 ± 9 18 ± 9 17 ± 10 18 ± 9
 Black female 14 ± 8 14 ± 7 15 ± 9 14 ± 7
 Other male 15 ± 9* 14 ± 8* 15 ± 9 15 ± 83
 Other female 12 ± 8a 9 ± 6b* 10 ± 6a* 12 ± 7a†
Iodine, μg/L
 Black male 198 ± 160 224 ± 292 201 ± 205 238 ± 296
 Black female 196 ± 185 216 ± 284 206 ± 301 200 ± 219
 Other male 242 ± 272 217 ± 227 227 ± 208 261 ± 325
 Other female 205 ± 160 177 ± 157 229 ± 227 242 ± 346
1

Values are means ± SDs. Within an analyte, labeled means in a row without a common letter differ, P < 0.05 (with Bonferroni adjustment). *Within an analyte, different from blacks within the same gender using the same timed-spot specimens, P < 0.05. Within an analyte, different from males within the same race category using the same timed-spot specimens, P < 0.05.

2

Timing of specimens: morning (the second void upon rising in the morning), 0830 to 1230 h; afternoon, 1231 to 1730 h; evening, 1731 to 2359 h; overnight (the first void after the longest period of sleep), 0400–1200 h the next morning. See Supplemental Table 5 for number of observations in each cell.

Compared with males of other races, black males had a lower urine volume in their timed-spot specimens, although the difference was not significant in the morning specimens. Black females had a similar volume in their timed-spot urine samples compared with females of other races, except for afternoon specimens. Compared with persons of other races, blacks had higher urine sodium concentrations in their timed-spot urine samples, although the differences were not always significant. Black participants also had higher urine creatinine concentrations than participants of other races in morning, afternoon, and overnight specimens among males (P = 0.003-0.046) and in afternoon and evening specimens among females (P < 0.001).

In general, females had a lower urine creatinine concentration in their timed-spot urine samples than males. The observed gender differences were significant in the morning, afternoon, and overnight specimens for blacks and in the afternoon and evening specimens for participants of other races. Across all urine specimens, sodium, potassium, and chloride concentrations did not differ by gender. Iodine concentrations did not significantly differ by race or gender in any of the timed-spot urine specimens.

Within-person variance between the d 1 and 2 collections.

Among the subset of individuals with a second 24-h urine sample, the within-person variances between the d 1 and 2 collections are shown in Table 5 by analyte, race, and the timing of urine collections. For 24-h sodium, chloride, and potassium excretions, the within-person, day-to-day variances were ∼16–29% of the mean excretion values. The variances were larger for timed-spot urine samples, which ranged from 21 to 41% of the mean excretions in the spot specimens. The evening specimen showed generally larger within-person variance in sodium, chloride, and potassium excretions compared with other spot specimens.

TABLE 5.

Within-person, day-to-day CVs and the ratio of within- to between-person variance of sodium, potassium, chloride, creatinine, and iodine excretions in 24-h urine samples and timed-spot urine specimens12

Within-person CV, % Ratio of within- to between-person variance
24 h Morning Afternoon Evening Overnight 24 h Morning Afternoon Evening Overnight
Sodium
 Black 23 29 31 39 31 0.9 0.8 0.6 0.9 1.1
 Other races 19 38 30 39 21 0.9 0.7 0.8 1.2 0.3
Potassium
 Black 17 25 27 40 26 0.6 0.9 0.5 1.0 1.0
 Other races 17 26 23 31 22 0.4 0.6 0.3 0.7 0.3
Chloride
 Black 29 24 38 41 27 1.2 0.4 1.3 1.2 0.6
 Other races 16 34 25 33 24 0.5 0.6 0.6 0.8 0.3
Creatinine
 Black 9 23 31 35 27 0.2 0.5 0.7 0.9 1.2
 Other races 9 24 25 29 17 0.1 0.7 0.7 1.2 0.4
Iodine
 Black 25 28 34 33 25 0.4 0.3 0.9 0.6 0.3
 Other races 17 28 28 28 23 0.1 0.3 0.3 0.3 0.2
1

Within-person CVs were calculated as the square root of the within-person variance divided by the mean of each analyte.

2

Only included individuals with 2 d urine collections. See Supplemental Table 5 for number of observations in each cell.

Across all urine specimens, the within-person variance in sodium excretion was similar in magnitude to the between-person variance, except for overnight specimens among persons of other races. For chloride and potassium, the within-person variances were relatively smaller than the between-person variances among persons of other races, but not among blacks.

The within-person variance for 24-h creatinine excretion was only 9% of the mean creatinine excretion and 10–20% of the between-person variance, although the variability of spot specimens was similar to that observed for other analytes. For iodine, the within-person variances were ∼17–33% of the mean iodine excretion and were generally much less than the between-person variances.

Discussion

To our knowledge, this is the first study designed to assess the ability to characterize sodium intake from timed-spot urine samples calibrated to a 24-h urine collection with a sizable U.S. sample of black and other race adults aged 18–39 y. In this group of healthy, young adult volunteers residing in the Washington, DC metropolitan area in 2011, 85% collected a 24-h urine sample considered complete for analysis; one-third (n = 133) of these completed a second 24-h urine collection 4–11 d later. Data from this study will provide valuable information in developing a monitoring system for sodium intake at the population level.

The mean urine volume in our study was comparable with that from participants in the Coronary Artery Disease in Young Adults study (C.M. Loria and K. Liu, unpublished data) and INTERSALT participants in Jackson, Mississippi (i.e., 1220 mL for black participants and 1630 mL for white participants) but higher than mean volumes for INTERSALT participants in Goodman, Mississippi (i.e., 850 mL for black participants and 1240 for white participants) (2). Moreover, our mean 24-h urine sodium excretions were similar for females and somewhat lower for males compared with those in a recent meta-analysis of 38 studies dated from 1957 to 2003 (3084 mg for females and 3911 mg for males) (31). However, the study populations in most studies in the meta-analysis differed from ours on a number of factors: age, presence of hypertension, geographic region, and year of study.

It appears that the sodium intakes estimated from dietary recalls were somewhat higher than the excretion values measured from the 24-h urine collections in the study (Supplemental Table 2), which may raise questions about the completeness of the 24-h urine collections and the validity of the 24-h dietary recall in assessing the sodium consumption. The completeness of the 24-h urine samples in this study was determined during data collection by the length of collection, total urine volume, and the adherence of the protocol and was further verified by sensitivity analysis using expected creatinine criterion. Exclusion of participants with incomplete urine samples as identified by expected creatinine criterion did not eliminate the observed discrepancy. Studies comparing sodium intake based on dietary and urinary data are inconsistent, with some studies suggesting that food records or 24-h dietary recalls underestimate 24-h urinary sodium excretion (3234), whereas others suggest 24-h sodium excretion underestimates dietary intake by 10 to 23% (19, 35). The direction of differences in mean sodium intake based on dietary and urine data also varied by country in the International Study on Macronutrients and Blood Pressure (36).

This study was designed to provide an adequate sample size to develop a calibration equation specific for blacks. In the study, we observed that black individuals generally had lower urine volumes and higher urine sodium concentrations (mmol/L) than other races in 24-h urine and timed spot specimens. These observations were similar to the findings reported from previous studies (2, 16, 31), although one clinical trial among participants consuming a fixed sodium diet suggested no differences in 24-h sodium excretion by race (19).

The diurnal patterns observed in our study show that, in general, the overnight urine samples had the largest volume and lowest sodium, potassium, and chloride concentrations compared with urine samples collected during the other times of the day. In contrast, urine creatinine and iodine concentrations stayed relatively consistent throughout the 24-h period across all race and gender groups. There was substantial day-to-day variability observed between the 2 urinary sodium, potassium, chloride, and iodine excretions 4–11 d apart across 24-h and timed-spot urine specimens. Compared with the between-person variance, the within-person, day-to-day variance was similar in sodium excretions but much less in iodine excretions.

The study sample was comprised of adults aged 18–39 y. Less than 1% were taking blood pressure-lowering medication. Therefore, our results may not apply to older adults, particularly to populations with higher rates of chronic disease. We did not measure blood pressure in this study and by design had a small sample size (n = 12) who reported having hypertension, precluding analyses stratified by hypertension status. However, exclusion of the few participants with self-reported hypertension or taking an antihypertensive medication did not affect the direction, magnitude, or significance of the results (analyses not shown).

A national surveillance system that is sensitive for monitoring U.S. efforts to reduce sodium intake is critical to evaluating such efforts. Due to logistic issues and limited resources, 24-h urine collection has not been included as part of the national surveys and thus sodium intake has been estimated using 24-h dietary recalls. This calibration study, which examines the associations between timed-spot and 24-h urine analytes in healthy young adults, is the first step toward determining if sodium intake can be measured from biomarkers already collected in the NHANES. This is the first report in a series. In this report, we described the design and basic characteristics of the study. Subsequent reports will focus on assessing the validity of published estimation equations for 24-h sodium and related nutrient excretions using partial samples collected at different times throughout the day and developing new calibration equations to estimate population-level, 24-h sodium and iodine excretion from multiple timed-spot urine samples.

Supplementary Material

nutrition175927SupplementaryData1.pdf

Acknowledgments

The authors acknowledge contributions from the following laboratory members: Donna LaVoie, Daniel Rabinowitz, Huiping Chen, Dana M. Henahan, Jeff Jarrett, Amir Makhmudov (CDC's National Center for Environmental Health), and David J. Kyle (Battelle Memorial Institute). C.-Y.W., V.L.B., M.E.C., C.M.L., C.M.P., C.A.S., C.G.P., A.L.C., and K.L. designed the overall research project; C.-Y.W. and V.L.B. conducted the research; C.-Y.W. and T.-C.C. analyzed the majority of the data; C.-Y.W. wrote the initial draft, which was modified after feedback from all coauthors; and C.-Y.W. has primary responsibility for content. All authors read and approved the final manuscript.

Footnotes

1

Supported by the U.S. government. The findings and conclusions in this manuscript are those of the authors and do not necessarily represent the official position of the CDC, the NIH, or any other entity of the U.S. government.

4

This trial was registered at ClinicalTrials.gov as NCT01631240.

Literature Cited

  • 1. Institute of Medicine Dietary Reference Intakes for Water, Potassium Sodium, Chloride, and Sulfate. Washington, DC: The National Academies Press; 2004. [2012 Mar 28]. Available from: http://www.iom.edu/Reports/2004/Dietary-Reference-Intakes-Water-Potassium-Sodium-Chloride-and-Sulfate.aspx. [Google Scholar]
  • 2. INTERSALT Co-operative Research Group. INTERSALT: an International study of electrolyte excretion and blood pressure. Results for 24 hour urinary sodium and potassium excretion. BMJ. 1988;297:319–28. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Strazzullo P, D'Elia L, Kandala NB, Cappuccio FP. Salt intake, stroke, and cardiovascular disease: meta-analysis of prospective studies. BMJ. 2009;339:b4567. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. He FJ, MacGregor GA. Effect of modest salt reduction on blood pressure: a meta-analysis of randomized trials. Implications for public health. J Hum Hypertens. 2002;16:761–70. [DOI] [PubMed] [Google Scholar]
  • 5. Cook NR, Cutler JA, Obarzanek E, Buring JE, Rexrode KM, Kumanyika SK, Appel LJ, Whelton PK. Long term effects of dietary sodium reduction on subsequent cardiovascular disease outcomes: observational follow-up of the trials of hypertension prevention (TOHP). BMJ. 2007;334:885–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. US Department of Health and Human Services, USDA Dietary guidelines for Americans, 2010. 7th ed Washington, DC: US Government Printing Office; 2011. [cited 2012 Mar 28]. Available from: http://health.gov/dietaryguidelines/2010.asp. [Google Scholar]
  • 7. Institute of Medicine Strategies to reduce sodium intake in the United States. Washington, DC: The National Academies Press; 2010. [cited 2012 Mar 28]. Available from: http://www.iom.edu/reports/2010/strategies-to-reduce-sodium-intake-in-the-united-states.aspx. [Google Scholar]
  • 8. Legetic B, Campbell N. Reducing salt intake in the Americas: Pan American Health Organization actions. J Health Commun. 2011;16Suppl 2:37–48. [DOI] [PubMed] [Google Scholar]
  • 9. NRC Nutrient adequacy: assessment using food consumption surveys. Washington, DC: The National Academies Press; 1986. [PubMed] [Google Scholar]
  • 10. Guenther PM, Kott PS, Carriquiry AL. Development of an approach for estimating usual nutrient intake distributions at the population level. J Nutr. 1997;127:1106–12. [DOI] [PubMed] [Google Scholar]
  • 11. Tanaka T, Okamura T, Miura K, Kadowaki T, Ueshima H, Nakagawa H, Hasimoto T. A simple method to estimate populational 24-h urinary sodium and potassium excretion using a casual urine specimen. J Hum Hypertens. 2002;16:97–103. [DOI] [PubMed] [Google Scholar]
  • 12. Brown IJ, Dyer AR, Chan Q, Cogswell M, Ueshima H, Stamler J. Elliott P, on behalf of the INTERSALT Cooperative Study on Salt, Other Factors, and Blood Pressure. Estimating 24-hour urinary sodium excretion from casual urinary sodium concentration in Western populations: INTERSALT Study. Am J Epidemiol. Epub 2012 May 13. [DOI] [PMC free article] [PubMed]
  • 13. Liu K, Dyer AR, Cooper RS, Stamler R, Stamler J. Can overnight urine replace 24-hour urine collection to assess salt intake? Hypertension. 1979;1:529–36. [DOI] [PubMed] [Google Scholar]
  • 14. Pietinen PI, Findley TW, Clausen JD, Finnerty FA, Jr, Altschul AM. Studies in community nutrition: estimation of sodium output. Prev Med. 1976;5:400–7. [DOI] [PubMed] [Google Scholar]
  • 15. Dyer AR, Stamler R, Grimm R, Stamler J, Berman R, Gosch FC, Emidy LA, Elmer P, Fishman J, Van Heel N, et al. Do hypertensive patients have a different diurnal pattern of electrolyte excretion? Hypertension. 1987;10:417–24. [DOI] [PubMed] [Google Scholar]
  • 16. Bankir L, Perucca J, Weinberger MH. Ethnic differences in urine concentration: possible relationship to blood pressure. Clin J Am Soc Nephrol. 2007;2:304–12. [DOI] [PubMed] [Google Scholar]
  • 17. Mann SJ, Gerber LM. Estimation of 24-hour sodium excretion from spot urine samples. J Clin Hypertens (Greenwich). 2010;12:174–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Milne FJ, Gear JSS, Laidley L, Ritchie M, Schultz E. Spot urinary electrolyte concentrations and 24 hour excretion. Lancet. 1980;2:1135. [DOI] [PubMed] [Google Scholar]
  • 19. Luft FC, Fineberg NS, Sloan RS. Estimating dietary sodium intake in individuals receiving a randomly fluctuating intake. Hypertension. 1982;4:805–8. [DOI] [PubMed] [Google Scholar]
  • 20. CDC, National Center for Health Statistics National Health and Nutrition Examination Survey Data. Hyattsville (MD): U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, 2003–2008. [cited 2012 Jul 19]. Available from: http://www.cdc.gov/nchs/nhanes/nhanes_questionnaires.htm. [Google Scholar]
  • 21. Mazzachi BC, Peake MJ, Ehrhardt V. Reference range and method comparison studies for enzymatic and Jaffe creatinine assays in plasma and serum and early morning urine. Clin Lab. 2000;46:53–5. [PubMed] [Google Scholar]
  • 22. Caldwell KL, Maxwell CB, Makhmudov A, Pino S, Braverman LE, Jones RL, Hollowell JG. Use of inductively coupled plasma mass spectrometry to measure urinary iodine in NHANES 2000: comparison with previous method. Clin Chem. 2003;49:1019–21. [DOI] [PubMed] [Google Scholar]
  • 23. Caudill SP, Schleicher RL, Pirkle JL. Multi-rule quality control for the age-related eye disease study. Stat Med. 2008;27:4094–106. [DOI] [PubMed] [Google Scholar]
  • 24. CDC, National Center for Health Statistics National Health and Nutrition Examination Survey anthropometry procedures manual. Hyattsville (MD): U.S. Department of Health and Human Services, CDC; 2011. [cited 2012 June 22]. Available from: http://www.cdc.gov/nchs/data/nhanes/nhanes_11_12/Anthropometry_Procedures_Manual.pdf. [Google Scholar]
  • 25. NIH. Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults: the evidence report. Obes Res. 1998;6Suppl 2:S51–209. [PubMed] [Google Scholar]
  • 26. Agricultural Research Service, Beltsville Human Nutrition Research Center, Food Surveys Research Group USDA Automated Multiple-Pass Method for dietary recalls. Beltsville (MD); [cited 2012 Mar 28]. Available from: http://www.ars.usda.gov/Services/docs.htm?docid=7710. [Google Scholar]
  • 27. Ahuja JKA, Montville JB, Omolewa-Tomobi G, Heendeniya KY, Martin CL, Steinfeldt LC, Anand J, Adler ME, LaComb RP, Moshfegh AJ. USDA Food and Nutrient Database for Dietary Studies, 5.0. USDA, Agricultural Research Service, Food Surveys Research Group. Beltsville (MD); 2012. [cited 2012 Mar 28]. Available from: http://www.ars.usda.gov/Services/docs.htm?docid=22370. [Google Scholar]
  • 28. Sebastian RS, Enns CW, Steinfeldt LC, Goldman JD, Moshfegh AJ. Discontinuation of data processing step: salt adjustment on designated foods likely to be home prepared. USDA, Agricultural Research Service, Food Surveys Research Group, Beltsville (MD); 2012. [cited 2012 Jul 19]. Available from: http://www.ars.usda.gov/SP2UserFiles/Place/12355000/pdf/0910/discontinuation%20of%20data%20processig%20step-salt%20adjustment.pdf. [Google Scholar]
  • 29. Neter J, Wasserman W, Kutner M. Applied linear statistical models. 2nd ed Homewood (IL): Richard D. Irwin, Inc.; 1985. [Google Scholar]
  • 30. Elliott P, Stamler R. Manual of operations for “INTERSALT”, an international cooperative study on the relation of sodium and potassium to blood pressure. Control Clin Trials. 1988;9Suppl 2:S1–117. [PubMed] [Google Scholar]
  • 31. Bernstein AM, Willett WC. Trends in 24-h urinary sodium excretion in the United States, 1957–2003: a systematic review. Am J Clin Nutr. 2010;92:1172–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32. Schachter J, Harper PH, Radin ME, Caggiula AW, McDonald RH, Diven WF. Comparison of sodium and potassium intake with excretion. Hypertension. 1980;2:695–9. [DOI] [PubMed] [Google Scholar]
  • 33. Espeland MA, Kumanyika S, Wilson AC, Reboussin DM, Easter L, Self M, Robertson J, Brown WM, McFarlane M, TONE Cooperative Research Group Statistical issues in analyzing 24-hour dietary recall and 24-hour urine collection data for sodium and potassium intakes. Am J Epidemiol. 2001;153:996–1006. [DOI] [PubMed] [Google Scholar]
  • 34. Caggiula AW, Wing RR, Nowalk MP, Milas NC, Lee S, Langford H. The measurement of sodium and potassium intake. Am J Clin Nutr. 1985;42:391–8. [DOI] [PubMed] [Google Scholar]
  • 35. Holbrook JT, Patterson KY, Bodner JE, Douglas LW, Veillon C, Kelsay JL, Mertz W, Smith JC., Jr Sodium and potassium intake and balance in adults consuming self-selected diets. Am J Clin Nutr. 1984;40:786–93. [DOI] [PubMed] [Google Scholar]
  • 36. Anderson CA, Appel LJ, Okuda N, Brown IJ, Chan Q, Zhao L, Ueshima H, Kesteloot H, Miura K, Curb JD, et al. Dietary sources of sodium in China, Japan, the United Kingdom, and the United States, women and men aged 40 to 59 y: the INTERMAP study. J Am Diet Assoc. 2010;110:736–45. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

nutrition175927SupplementaryData1.pdf

Articles from The Journal of Nutrition are provided here courtesy of American Society for Nutrition

RESOURCES