Estimation of particulate mass and manganese exposure levels among welders

Angela Hobson, Noah Seixas, David Sterling, Brad A. Racette

Research output: Contribution to journalArticle

36 Citations (Scopus)

Abstract

Background: Welders are frequently exposed to Manganese (Mn), which may increase the risk of neurological impairment. Historical exposure estimates for welding-exposed workers are needed for epidemiological studies evaluating the relationship between welding and neurological or other health outcomes. The objective of this study was to develop and validate a multivariate model to estimate quantitative levels of welding fume exposures based on welding particulate mass and Mn concentrations reported in the published literature.Methods: Articles that described welding particulate and Mn exposures during field welding activities were identified through a comprehensive literature search. Summary measures of exposure and related determinants such as year of sampling, welding process performed, type of ventilation used, degree of enclosure, base metal, and location of sampling filter were extracted from each article. The natural log of the reported arithmetic mean exposure level was used as the dependent variable in model building, while the independent variables included the exposure determinants. Cross-validation was performed to aid in model selection and to evaluate the generalizability of the models.Results: A total of 33 particulate and 27 Mn means were included in the regression analysis. The final model explained 76% of the variability in the mean exposures and included welding process and degree of enclosure as predictors. There was very little change in the explained variability and root mean squared error between the final model and its cross-validation model indicating the final model is robust given the available data.Conclusions: This model may be improved with more detailed exposure determinants; however, the relatively large amount of variance explained by the final model along with the positive generalizability results of the cross-validation increases the confidence that the estimates derived from this model can be used for estimating welder exposures in absence of individual measurement data.

Original languageEnglish
Pages (from-to)113-125
Number of pages13
JournalAnnals of Occupational Hygiene
Volume55
Issue number1
DOIs
StatePublished - 1 Jan 2011

Fingerprint

Welding
Manganese
Ventilation
Epidemiologic Studies
Metals
Regression Analysis
Health

Keywords

  • exposure
  • manganese
  • welding

Cite this

Hobson, Angela ; Seixas, Noah ; Sterling, David ; Racette, Brad A. / Estimation of particulate mass and manganese exposure levels among welders. In: Annals of Occupational Hygiene. 2011 ; Vol. 55, No. 1. pp. 113-125.
@article{9a80ded72a404f099089f1bc210ab5a2,
title = "Estimation of particulate mass and manganese exposure levels among welders",
abstract = "Background: Welders are frequently exposed to Manganese (Mn), which may increase the risk of neurological impairment. Historical exposure estimates for welding-exposed workers are needed for epidemiological studies evaluating the relationship between welding and neurological or other health outcomes. The objective of this study was to develop and validate a multivariate model to estimate quantitative levels of welding fume exposures based on welding particulate mass and Mn concentrations reported in the published literature.Methods: Articles that described welding particulate and Mn exposures during field welding activities were identified through a comprehensive literature search. Summary measures of exposure and related determinants such as year of sampling, welding process performed, type of ventilation used, degree of enclosure, base metal, and location of sampling filter were extracted from each article. The natural log of the reported arithmetic mean exposure level was used as the dependent variable in model building, while the independent variables included the exposure determinants. Cross-validation was performed to aid in model selection and to evaluate the generalizability of the models.Results: A total of 33 particulate and 27 Mn means were included in the regression analysis. The final model explained 76{\%} of the variability in the mean exposures and included welding process and degree of enclosure as predictors. There was very little change in the explained variability and root mean squared error between the final model and its cross-validation model indicating the final model is robust given the available data.Conclusions: This model may be improved with more detailed exposure determinants; however, the relatively large amount of variance explained by the final model along with the positive generalizability results of the cross-validation increases the confidence that the estimates derived from this model can be used for estimating welder exposures in absence of individual measurement data.",
keywords = "exposure, manganese, welding",
author = "Angela Hobson and Noah Seixas and David Sterling and Racette, {Brad A.}",
year = "2011",
month = "1",
day = "1",
doi = "10.1093/annhyg/meq069",
language = "English",
volume = "55",
pages = "113--125",
journal = "Annals of Occupational Hygiene",
issn = "0003-4878",
publisher = "Oxford University Press",
number = "1",

}

Estimation of particulate mass and manganese exposure levels among welders. / Hobson, Angela; Seixas, Noah; Sterling, David; Racette, Brad A.

In: Annals of Occupational Hygiene, Vol. 55, No. 1, 01.01.2011, p. 113-125.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Estimation of particulate mass and manganese exposure levels among welders

AU - Hobson, Angela

AU - Seixas, Noah

AU - Sterling, David

AU - Racette, Brad A.

PY - 2011/1/1

Y1 - 2011/1/1

N2 - Background: Welders are frequently exposed to Manganese (Mn), which may increase the risk of neurological impairment. Historical exposure estimates for welding-exposed workers are needed for epidemiological studies evaluating the relationship between welding and neurological or other health outcomes. The objective of this study was to develop and validate a multivariate model to estimate quantitative levels of welding fume exposures based on welding particulate mass and Mn concentrations reported in the published literature.Methods: Articles that described welding particulate and Mn exposures during field welding activities were identified through a comprehensive literature search. Summary measures of exposure and related determinants such as year of sampling, welding process performed, type of ventilation used, degree of enclosure, base metal, and location of sampling filter were extracted from each article. The natural log of the reported arithmetic mean exposure level was used as the dependent variable in model building, while the independent variables included the exposure determinants. Cross-validation was performed to aid in model selection and to evaluate the generalizability of the models.Results: A total of 33 particulate and 27 Mn means were included in the regression analysis. The final model explained 76% of the variability in the mean exposures and included welding process and degree of enclosure as predictors. There was very little change in the explained variability and root mean squared error between the final model and its cross-validation model indicating the final model is robust given the available data.Conclusions: This model may be improved with more detailed exposure determinants; however, the relatively large amount of variance explained by the final model along with the positive generalizability results of the cross-validation increases the confidence that the estimates derived from this model can be used for estimating welder exposures in absence of individual measurement data.

AB - Background: Welders are frequently exposed to Manganese (Mn), which may increase the risk of neurological impairment. Historical exposure estimates for welding-exposed workers are needed for epidemiological studies evaluating the relationship between welding and neurological or other health outcomes. The objective of this study was to develop and validate a multivariate model to estimate quantitative levels of welding fume exposures based on welding particulate mass and Mn concentrations reported in the published literature.Methods: Articles that described welding particulate and Mn exposures during field welding activities were identified through a comprehensive literature search. Summary measures of exposure and related determinants such as year of sampling, welding process performed, type of ventilation used, degree of enclosure, base metal, and location of sampling filter were extracted from each article. The natural log of the reported arithmetic mean exposure level was used as the dependent variable in model building, while the independent variables included the exposure determinants. Cross-validation was performed to aid in model selection and to evaluate the generalizability of the models.Results: A total of 33 particulate and 27 Mn means were included in the regression analysis. The final model explained 76% of the variability in the mean exposures and included welding process and degree of enclosure as predictors. There was very little change in the explained variability and root mean squared error between the final model and its cross-validation model indicating the final model is robust given the available data.Conclusions: This model may be improved with more detailed exposure determinants; however, the relatively large amount of variance explained by the final model along with the positive generalizability results of the cross-validation increases the confidence that the estimates derived from this model can be used for estimating welder exposures in absence of individual measurement data.

KW - exposure

KW - manganese

KW - welding

UR - http://www.scopus.com/inward/record.url?scp=78751514634&partnerID=8YFLogxK

U2 - 10.1093/annhyg/meq069

DO - 10.1093/annhyg/meq069

M3 - Article

C2 - 20870928

AN - SCOPUS:78751514634

VL - 55

SP - 113

EP - 125

JO - Annals of Occupational Hygiene

JF - Annals of Occupational Hygiene

SN - 0003-4878

IS - 1

ER -