Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring.

Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Research Abstract Details 

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Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Abstract Text:

Elaine Symanski,Nicole M H Greeson,Wenyaw Chan,

BACKGROUND: While studies indicate that the attenuating effects of imperfectly measured exposure can be substantial, they have not had the requisite data to compare methods of assessing exposure for the same individuals monitored over common time periods. METHODS: We examined measurement error in multiple exposure measures collected in parallel on 32 groups of workers. Random-effects models were applied under both compound symmetric and exponential correlation structures. Estimates of the within- and between-worker variances were used to contrast the attenuation bias in an exposure-response relationship that would be expected using an individual-based exposure assessment for different exposure measures on the basis of the intra-class correlation coefficient (ICC). RESULTS: ICC estimates ranged widely, indicative of a great deal of measurement error in some exposure measures while others contained very little. There was generally less attenuation in the biomarker data as compared to measurements obtained by personal sampling and, among biomarkers, for those with longer half-lives. The interval ICC estimates were often-times wide, suggesting a fair amount of imprecision in the point estimates. Ignoring serial correlation tended to over estimate the ICC values. CONCLUSIONS: Although personal sampling results were typically characterized by more intra-individual variability than inter-individual variability when compared to biological measurements, both types of data provided examples of exposure measures fraught with error. Our results also indicated substantial imprecision in the estimates of exposure measurement error, suggesting that greater emphasis needs to be given to studies that collect sufficient data to better characterize the attenuating effects of an error-prone exposure measure.

Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Publishing Authors By Initials

E Symanski,NM Greeson,W Chan,

For similar natural sciences: science: research: research design research abstracts see: natural sciences: science: research: research design research

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Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: American journal of industrial medicine

VOLUME: 50

Page Numbers: 112-21

Journal Abbreviation: Am. J. Ind. Med.

ISSN: 0271-3586

DAY: 3

MONTH: Feb

YEAR: 2007

Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Information

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LANGUAGE: eng

NlmUniqueID: 8101110

Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring. Keywords Mesh Terms:

KEYWORDS: Research Design

MESH TERMS: statistics & numerical data

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Grant and Affiliation Information for Evaluating measurement error in estimates of worker exposure assessed in parallel by personal and biological monitoring.

AFFILIATION: Division of Environmental and Occupational Health Sciences, University of Texas School of Public Health at Houston, Houston, Texas 77030, USA. Elaine.Symanski@uth.tmc.edu

Country: United States

AGENCY: United States NIOSH

GRANT: R03 OH007834

ACRONYM: OH

MEDLINETA: Am J Ind Med

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