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Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements
Biologic monitoring (i.e., biomonitoring) is used to assess human exposures to environmental and workplace chemicals. Urinary biomonitoring data typically are adjusted to a constant creatinine concentration to correct for variable dilutions among spot samples. Traditionally, this approach has been u...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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National Institute of Environmental Health Sciences
2005
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1277864/ https://www.ncbi.nlm.nih.gov/pubmed/15687057 http://dx.doi.org/10.1289/ehp.7337 |
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author | Barr, Dana B. Wilder, Lynn C. Caudill, Samuel P. Gonzalez, Amanda J. Needham, Lance L. Pirkle, James L. |
author_facet | Barr, Dana B. Wilder, Lynn C. Caudill, Samuel P. Gonzalez, Amanda J. Needham, Lance L. Pirkle, James L. |
author_sort | Barr, Dana B. |
collection | PubMed |
description | Biologic monitoring (i.e., biomonitoring) is used to assess human exposures to environmental and workplace chemicals. Urinary biomonitoring data typically are adjusted to a constant creatinine concentration to correct for variable dilutions among spot samples. Traditionally, this approach has been used in population groups without much diversity. The inclusion of multiple demographic groups in studies using biomonitoring for exposure assessment has increased the variability in the urinary creatinine levels in these study populations. Our objectives were to document the normal range of urinary creatinine concentrations among various demographic groups, evaluate the impact that variations in creatinine concentrations can have on classifying exposure status of individuals in epidemiologic studies, and recommend an approach using multiple regression to adjust for variations in creatinine in multivariate analyses. We performed a weighted multivariate analysis of urinary creatinine concentrations in 22,245 participants of the Third National Health and Nutrition Examination Survey (1988–1994) and established reference ranges (10th–90th percentiles) for each demographic and age category. Significant predictors of urinary creatinine concentration included age group, sex, race/ethnicity, body mass index, and fat-free mass. Time of day that urine samples were collected made a small but statistically significant difference in creatinine concentrations. For an individual, the creatinine-adjusted concentration of an analyte should be compared with a “reference” range derived from persons in a similar demographic group (e.g., children with children, adults with adults). For multiple regression analysis of population groups, we recommend that the analyte concentration (unadjusted for creatinine) should be included in the analysis with urinary creatinine added as a separate independent variable. This approach allows the urinary analyte concentration to be appropriately adjusted for urinary creatinine and the statistical significance of other variables in the model to be independent of effects of creatinine concentration. |
format | Text |
id | pubmed-1277864 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2005 |
publisher | National Institute of Environmental Health Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-12778642005-11-08 Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements Barr, Dana B. Wilder, Lynn C. Caudill, Samuel P. Gonzalez, Amanda J. Needham, Lance L. Pirkle, James L. Environ Health Perspect Research Biologic monitoring (i.e., biomonitoring) is used to assess human exposures to environmental and workplace chemicals. Urinary biomonitoring data typically are adjusted to a constant creatinine concentration to correct for variable dilutions among spot samples. Traditionally, this approach has been used in population groups without much diversity. The inclusion of multiple demographic groups in studies using biomonitoring for exposure assessment has increased the variability in the urinary creatinine levels in these study populations. Our objectives were to document the normal range of urinary creatinine concentrations among various demographic groups, evaluate the impact that variations in creatinine concentrations can have on classifying exposure status of individuals in epidemiologic studies, and recommend an approach using multiple regression to adjust for variations in creatinine in multivariate analyses. We performed a weighted multivariate analysis of urinary creatinine concentrations in 22,245 participants of the Third National Health and Nutrition Examination Survey (1988–1994) and established reference ranges (10th–90th percentiles) for each demographic and age category. Significant predictors of urinary creatinine concentration included age group, sex, race/ethnicity, body mass index, and fat-free mass. Time of day that urine samples were collected made a small but statistically significant difference in creatinine concentrations. For an individual, the creatinine-adjusted concentration of an analyte should be compared with a “reference” range derived from persons in a similar demographic group (e.g., children with children, adults with adults). For multiple regression analysis of population groups, we recommend that the analyte concentration (unadjusted for creatinine) should be included in the analysis with urinary creatinine added as a separate independent variable. This approach allows the urinary analyte concentration to be appropriately adjusted for urinary creatinine and the statistical significance of other variables in the model to be independent of effects of creatinine concentration. National Institute of Environmental Health Sciences 2005-02 2004-09-23 /pmc/articles/PMC1277864/ /pubmed/15687057 http://dx.doi.org/10.1289/ehp.7337 Text en http://creativecommons.org/publicdomain/mark/1.0/ Publication of EHP lies in the public domain and is therefore without copyright. All text from EHP may be reprinted freely. Use of materials published in EHP should be acknowledged (for example, ?Reproduced with permission from Environmental Health Perspectives?); pertinent reference information should be provided for the article from which the material was reproduced. Articles from EHP, especially the News section, may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Research Barr, Dana B. Wilder, Lynn C. Caudill, Samuel P. Gonzalez, Amanda J. Needham, Lance L. Pirkle, James L. Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title | Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title_full | Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title_fullStr | Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title_full_unstemmed | Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title_short | Urinary Creatinine Concentrations in the U.S. Population: Implications for Urinary Biologic Monitoring Measurements |
title_sort | urinary creatinine concentrations in the u.s. population: implications for urinary biologic monitoring measurements |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1277864/ https://www.ncbi.nlm.nih.gov/pubmed/15687057 http://dx.doi.org/10.1289/ehp.7337 |
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