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    Assessment of Exposure to Shiftwork Mechanisms in the General Population: the Development of a New Job-Exposure Matrix

    202730_202730.pdf (518.2Kb)
    Access Status
    Open access
    Authors
    Fernandez, R.
    Peters, S.
    Carey, Renee
    Davies, M.
    Fritschi, Lin
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Fernandez, R. and Peters, S. and Carey, R. and Davies, M. and Fritschi, L. 2014. Assessment of Exposure to Shiftwork Mechanisms in the General Population: the Development of a New Job-Exposure Matrix. Occupational and Environmental Medicine. 71 (10): pp. 723-729.
    Source Title
    Occupational and Environmental Medicine
    DOI
    10.1136/oemed-2014-102101
    ISSN
    13510711
    School
    School of Public Health
    Remarks

    This article has been accepted for publication in Occupational and Environmental Medicine following peer review. The definitive copyedited, typeset version Fernandez, R. and Peters, S. and Carey, R. and Davies, M. and Fritschi, L. 2014. Assessment of Exposure to Shiftwork Mechanisms in the General Population: the Development of a New Job-Exposure Matrix. Occupational and Environmental Medicine. 71 (10): pp. 723-729, is available at http://doi.org/10.1136/oemed-2014-102101

    URI
    http://hdl.handle.net/20.500.11937/28457
    Collection
    • Curtin Research Publications
    Abstract

    Objective. To develop a job-exposure matrix (JEM) that estimates exposure to eight variables representing different aspects of shiftwork among female workers. Methods. Occupational history and shiftwork exposure data were obtained from a population-based breast cancer case–control study. Exposure to light at night, phase shift, sleep disturbances, poor diet, lack of physical activity, lack of vitamin D, and graveyard and early morning shifts, was calculated by occupational code. Three threshold values based on the frequency of exposure were considered (10%, 30% and 50%) for use as cut-offs in determining exposure for each occupational code. JEM-based exposure classification was compared with that from the OccIDEAS application (job-specific questionnaires and assessment by rules) by assessing the effect on the OR for phase shift and breast cancer. Using data from the Australian Workplace Exposure Study, the specificity and sensitivity of the threshold values were calculated for each exposure variable. Results. 127 of 413 occupational codes involved exposure to one or more shiftwork variables. Occupations with the highest probability of exposure shiftwork included nurses and midwives. Using the 30% threshold, the OR for the association between phase shift exposure and breast cancer was decreased and no longer statistically significant (OR=1.14, 95% CI 0.92 to 1.42). The 30% cut-off point demonstrated best specificity and sensitivity, although results varied between exposure variables. Conclusions This JEM provides a set of indicators reflecting biologically plausible mechanisms for the potential impact of shiftwork on health and may provide an alternative method of exposure assessment in the absence of detailed job history and exposure data.

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