A population-based job exposure matrix for power-frequency magnetic fields.

A population-based job exposure matrix (JEM) was developed to assess personal exposures to power-frequency magnetic fields (MF) for epidemiologic studies. The JEM compiled 2317 MF measurements taken on or near workers by 10 studies in the United States, Sweden, New Zealand, Finland, and Italy. A dat...

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Publicado en:Journal of Occupational & Environmental Hygiene Vol. 4; no. 9; pp. 715 - 729
Autores principales: Bowman JD, Touchstone JA, Yost MG
Formato: equations & formulas research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Sep2007
Acceso en línea:Ver este registro en EBSCOhost
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        atl: A population-based job exposure matrix for power-frequency magnetic fields.
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        au:
          Bowman JD
          Touchstone JA
          Yost MG
        affil: NIOSH, Engineering and Physical Hazards Branch, 4676 Columbia Parkway, Cincinnati, OH 45226; jdb0@cdc.gov
      sug:
        subj:
          Electromagnetic Fields
          Occupational Exposure Analysis
          Occupations and Professions
          Databases
          Education, Continuing (Credit)
          Epidemiological Research
          Finland
          Human
          Italy
          Job Description
          Models, Biological
          New Zealand
          Sweden
          United States
      ab: A population-based job exposure matrix (JEM) was developed to assess personal exposures to power-frequency magnetic fields (MF) for epidemiologic studies. The JEM compiled 2317 MF measurements taken on or near workers by 10 studies in the United States, Sweden, New Zealand, Finland, and Italy. A database wa assembled from the original data for six studies plus summary statistics grouped by occupation from four other published studies. The job descriptions were coded into the 1980 Standard Occupational Classification system (SOC) and then translated to the 1980 job categories of the U.S. Bureau of the Census (BOC). For each job category, the JEM database calculated the arithmetic mean, standard deviation, geometric mean, and geometric standard deviation of the workday-average MF magnitude from the combined data. Analysis of variance demonstrated that the combining of MF data from the different sources was justified, and that the homogeneity of MF exposures in the SOC occupations was comparable to JEMs for solvents and particulates. BOC occupation accounted for 30% of the MF variance (p << 10-6), and the contrast (ratio of the between-job variance to the total of within- and between-job variances) was 88%. Jobs lacking data had their exposures inferred from measurements on similar occupations. The JEM provided MF exposures for 97% of the person-months in a population-based case-control study and 95% of the jobs on death certificates in a registry study covering 22 states. Therefore, we expect this JEM to be useful in other population-based epidemiologic studies.
      pubtype: Academic Journal
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        equations & formulas
        research
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        Journal Article
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    language: English
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