Biomonitoring of urinary environmental phenols is used to determine prevalence of human exposure and the relevance of human exposure in public health. The sources of human exposure to these phenolic compounds include industrial pollution, pesticides, food, and drinking water.
Chlorophenols have been used in the wood preservation industry, as intermediates in the production of pesticides, and as disinfectants or fungicides for industrial and indoor home use. Clorophenols are also by-products of waste water and municipal drinking water disinfection with chlorine. The manufacture of other chlorinated aromatic compounds can produce chlorophenols as byproducts. 2,4-Dichlorophenol sources include water chlorination, wood pulp bleaching, pesticide manufacturing, and environmental degradation of the herbicide 2.4-diphenoxyacetic acid. 2,5-Dichlorophenol is a metabolite of 1,4-dichlorobenzene and has industrial uses including dye and chemical synthesis and resin production. 2,4,5- and 2,4,6-Trichlorophenol are metabolites of several organochlorine pesticides. Although they may still be used in production of certain fungicides, these chemicals are no longer commercially manufactured but may occur in small amounts in chlorinated drinking water, and they may be produced during combustion of natural materials or detected in chlorinated waste water. Orthophenylphenol is an antimicrobial agent used in agriculture, with limited use on food crops, but used as a fungicide on ornamental plants and turf and as a wood and paint preservative. Thus, there are numerous sources for human exposure to these chlorophenols, encompassing food, drinking water, pesticide use, and contact with contaminated or treated materials. Measurement of urinary metabolites of chlorophenols is useful to assess recent human exposure.
Participants aged 6 years and older who met the subsample requirements.
Bisphenol A (BPA) and Alkylphenols (APs) have been previously measured in biological matrixes by using gas chromatography (GC) or high performance liquid chromatography (HPLC) coupled with different detection techniques. To achieve enhanced sensitivity and selectivity, the phenols have been derivatized to alkyl or acyl derivatives before GC-mass spectrometry (GC/MS) analysis (Brock et al., 2001; Jeannot et al., 2002; Kojima et al., 2003; Lerch et al., 2003; Louter et al., 1997; Rinken et al., 2002; Schonfelder et al., 2002; Zafra et al., 2002; Rosenfeld et al., 1991). We have developed a sensitive method for measuring BPA, 4-tert-octylphenol (tOP), benzophenone-3 (BP-3), one chlorophenols triclosan, and four parabens. The method uses solid phase extraction (SPE) coupled on-line to HPLC and tandem mass spectrometry (MS/MS). With the use of isotopically labeled internal standards, the detection limits in 100 µL of urine are 0.1-2 nanograms per milliliter (ng/mL), sufficient for measuring urinary levels of phenols in non-occupationally exposed subjects.
Urine specimens are processed, stored, and shipped to the Division of Environmental Health Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention for analysis.
Detailed specimen collection and processing instructions are discussed in the NHANES Laboratory/Medical Technologists Procedures Manual (LPM). Vials are stored under appropriate frozen (–20°C) conditions until they are shipped to National Center for Environmental Health for testing.
Mobile Examination Centers (MECs)
Laboratory team performance is monitored using several techniques. NCHS and contract consultants use a structured quality assurance evaluation during unscheduled visits to evaluate both the quality of the laboratory work and the quality-control procedures. Each laboratory staff person is observed for equipment operation, specimen collection and preparation; testing procedures and constructive feedback are given to each staff. Formal retraining sessions are conducted annually to ensure that required skill levels were maintained. The NHANES QA/QC protocols meet the 1988 Clinical Laboratory Improvement Act mandates. Detailed QA/QC instructions are discussed in the NHANES LPM.
Analytical Laboratories
NHANES uses several methods to monitor the quality of the analyses performed by the contract laboratories. In the MEC, these methods include performing blind split samples collected on “dry run” sessions. In addition, contract laboratories randomly perform repeat testing on 2.0% of all specimens. NCHS developed and distributed a quality control protocol for all the contract laboratories which outlined the Westgard rules used when running NHANES specimens. Progress reports containing any problems encountered during shipping or receipt of specimens, summary statistics for each control pool, QC graphs, instrument calibration, reagents, and any special considerations are submitted to NCHS and Westat quarterly. The reports are reviewed for trends or shifts in the data. The laboratories are required to explain any identified areas of concern. All QC procedures recommended by the manufacturers were followed. Reported results for all assays meet the Division of Environmental Health Laboratory Sciences’ quality control and quality assurance performance criteria for accuracy and precision (similar to specifications outlined by Westgard (1981).
Subsample weights
Measures of urinary environmentals were measured in a one third subsample of persons 6 years and over. Special sample weights are required to analyze these data properly. Specific sample weights for this subsample are included in this data file and should be used when analyzing these data.
Variance estimation
The analysis of NHANES 2005-2006 laboratory data must be conducted with the key survey design and basic demographic variables. The NHANES 2005-2006 Demographic Data File contains demographic and sample design variables. The recommended procedure for variance estimation requires use of stratum and PSU variables (SDMVSTRA and SDMVPSU, respectively) in the demographic data file.
Links to NHANES Data Files
This laboratory data file can be linked to the other NHANES 2005-2006 data files using the unique survey participant identifier SEQN.
Detection Limits
The detection limits were constant for all of the analytes in the data set. Two variables are provided for each of these analytes. The variable named URD___LC indicates whether the result was below the limit of detection. There are two values: “0” and “1””. “0” means that the result was at or above the limit of detection. “1” indicates that the result was below the limit of detection.
The other variable named URX___ provides the analytic result for that analyte.
Please refer to the Analytic Guidelines for further details on the use of sample weights and other analytic issues.
Arenholt-Bindslev D, Breinholt V, Preiss A, Schmalz G. Clin. Oral Inv. 1999; 3:120.
.Brock JW, Yoshimura Y, Barr JR, Maggio VL, Graiser SR, Nakazawa H, Needham LL, Expos J. Anal. Environ. Epidemiol. 2001; 11:323.
.Howe SR, Borodinsky L, Lyon RS, Coat J. Technol. 1998; 70:69.
.Jeannot R, Sabik H, Sauvard E, Dagnac T, Dohrendorf K, Chromatogr J. 2002; A 974:143.
.Kojima M, Tsunoi S, Tanaka M, Chromatogr J. 2003; A 984:237.
.Lerch O, Zinn P. Chromatogr J. 2003; A 991:77.
.Louter AJH, Jones PA, Jorritsma JD, Vreuls JJ, Brinkman UAT. HRC-J. High Res. Chromatogr. 1997; 20:363.
.Montgomery-Brown J, Reinhard M. Environ. Engineer. Sci. 2003; 20:471.
.Rinken MJ, Int. J. Environ. Anal. Chem. 2002; 82:77.
.Rosenfeld JM, Moharir Y, Hill R. Anal. Chem. 1991; 63:1536.
.Sajiki J, Yonekubo J. Chemosphere 2003; 51:55.
.Schonfelder G, Wittfoht W, Hopp H, Talsness CE, Paul M, Chahoud I. Environ. Health Perspect. 2002; 110: A703-A707.
.Ying GG, Williams B, Kookana R. Environ. Int. 2002; 28:215.
.Zafra A, del Olmo M, Pulgar R, Navalon A, Vilchez JL. Chromatographia 2002; 56:213.
.Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 to 486352.50255 | Range of Values | 2638 | 2638 | |
. | Missing | 0 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0.14 to 19600 | Range of Values | 2548 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 | At or above the detection limit | 2519 | 2519 | |
1 | Below lower detection limit | 29 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0.07 to 46 | Range of Values | 2548 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 | At or above the detection limit | 477 | 477 | |
1 | Below lower detection limit | 2071 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0.14 to 1230 | Range of Values | 2548 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 | At or above the detection limit | 2335 | 2335 | |
1 | Below lower detection limit | 213 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0.07 to 7.9 | Range of Values | 2548 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 | At or above the detection limit | 942 | 942 | |
1 | Below lower detection limit | 1606 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0.35 to 95 | Range of Values | 2548 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
0 | At or above the detection limit | 886 | 886 | |
1 | Below lower detection limit | 1662 | 2548 | |
. | Missing | 90 | 2638 |
Code or Value | Value Description | Count | Cumulative | Skip to Item |
---|---|---|---|---|
5 to 608 | Range of Values | 2563 | 2563 | |
. | Missing | 75 | 2638 |