Silica Exposure During Construction Activities: Statistical Modeling of Task-Based Measurements from the Literature.
Many construction activities can put workers at risk of breathing silica containing dusts, and there is an important body of literature documenting exposure levels using a task-based strategy. In this study, statistical modeling was used to analyze a data set containing 1466 task-based, personal res...
| Publicado en: | Annals of Occupational Hygiene Vol. 57; no. 4; pp. 432 - 444 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
May2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=87109946&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 87109946 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00034878 JQ4 jtl: Annals of Occupational Hygiene issn: 00034878 maglogo: N pubinfo: dt: May2013 vid: 57 iid: 4 pid: 622 pub: Oxford University Press / USA artinfo: ui: 87109946 104277111 104277111 10.1093/annhyg/mes089 87109946 ppf: 432 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Silica Exposure During Construction Activities: Statistical Modeling of Task-Based Measurements from the Literature. aug: au: Sauvé, Jean-François Beaudry, Charles Bégin, Denis Dion, Chantal Gérin, Michel Lavoué, Jérôme affil: Université de Montréal, Department of Environmental and Occupational Health , Montréal, Québec, Canada ; sug: subj: Silicates Adverse Effects Occupational Hazards Standards Task Performance and Analysis Methods Air Pollution Analysis Work Environment Construction Industry Models, Statistical Data Analysis, Statistical Descriptive Statistics Data Analysis Software Confidence Intervals Funding Source Human ab: Many construction activities can put workers at risk of breathing silica containing dusts, and there is an important body of literature documenting exposure levels using a task-based strategy. In this study, statistical modeling was used to analyze a data set containing 1466 task-based, personal respirable crystalline silica (RCS) measurements gathered from 46 sources to estimate exposure levels during construction tasks and the effects of determinants of exposure. Monte–Carlo simulation was used to recreate individual exposures from summary parameters, and the statistical modeling involved multimodel inference with Tobit models containing combinations of the following exposure variables: sampling year, sampling duration, construction sector, project type, workspace, ventilation, and controls. Exposure levels by task were predicted based on the median reported duration by activity, the year 1998, absence of source control methods, and an equal distribution of the other determinants of exposure. The model containing all the variables explained 60% of the variability and was identified as the best approximating model. Of the 27 tasks contained in the data set, abrasive blasting, masonry chipping, scabbling concrete, tuck pointing, and tunnel boring had estimated geometric means above 0.1mg m−3 based on the exposure scenario developed. Water-fed tools and local exhaust ventilation were associated with a reduction of 71 and 69% in exposure levels compared with no controls, respectively. The predictive model developed can be used to estimate RCS concentrations for many construction activities in a wide range of circumstances. pubtype: Academic Journal doctype: equations & formulas research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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