| 1. JOB-EXPOSURE MATRICES |
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JEM name
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Shiftwork JEM (Australian)
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Institute
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University of Adelaide
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Country
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Australia
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Contact person
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Renae Fernandez
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Email
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renae.fernandez@adelaide.edu.au
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References (citation)
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- Fernandez RC, Peters S, Carey RN, Davies MJ, Fritschi L. Assessment of exposure to shiftwork mechanisms in the general population: the development of a new job-exposure matrix. Occup Environ Med. 2014;71(10):723-9.
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References (weblinks)
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- https://oem.bmj.com/content/71/10/723
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Year JEM was developed
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2014
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Agents
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- Organisation of Work including Working Time
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Shift work
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- Night (permanent or rotating)
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Working hours | Other (specify)
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Exposure to light at night, phase shift, sleep disruption, poor diet, lack of physical activity, lack of vitamin D, graveyard shifts, early morning shifts
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Occupation Axis
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Yes
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Coding system
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Coding system (Number of digits used)
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5
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Industry Axis
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No
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Intensity
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No
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Probability
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Yes
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Probability categories/levels
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Numerical probability and 10%, 30%, 50% cutpoints
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Duration
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No
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Frequency
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No
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Peaks
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No
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Data source(s)
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- Expert assessment
- Self-reported data
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Studies to which the JEM has been applied: Texts
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- Walasa WM, Carey RN, Si S, Fritschi L, Heyworth JS, Fernandez RC, et al. Association between shiftwork and the risk of colorectal cancer in females: a population-based case–control study. Occupational and Environmental Medicine. [10.1136/oemed-2017-104657]. 2018;75(5):344.
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Studies to which the JEM has been applied: Links
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- https://oem.bmj.com/content/75/5/344.full
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Validation studies done: Links
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- https://oem.bmj.com/content/71/10/723
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Availability
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Strengths
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Considers the biological mechanisms through which shiftwork affects health.
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Weaknesses
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Created using data from females only. Some variables in the JEM are highly dependent on personal behaviours (poor diet, lack of physical activity, lack of vitamin D). Some occupational codes included in the JEM contain very small numbers.
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