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Occupational and Environmental Medicine

Print ISSN
1351-0711
Electronic ISSN
1470-7926
Impact factor
3.494
Publisher
highwire
URL
http://oem.bmj.com
Usage rank
1303
Article count
3015
Free count
1921
Free percentage
0.637148
PDFs via platforms
Ovid from 2001, CSA, Endocrine, Gale, BMJ Group, Ama, Aacr, Nephrology, Jstor, Rupress, Proquest, Aaas, BMJ, Csh, and Highwire from 1944

  1. Long-term occupational outcomes of endotoxin exposure and the effect of exposure cessation.

    Occupational and Environmental Medicine 69(2):107 (2012) PMID 21810928

    To study the possible respiratory and haematological effects of endotoxin exposure to bacterial single-cell protein (BSCP) in workers during a follow-up period of 5 years including 4 years of exposure and 1 year without exposure. The study included 28 workers examined...
  2. Occupational class as the indicator of socioeconomic position.

    Occupational and Environmental Medicine 69(8):606 (2012) PMID 22241845

  3. Sharing the knowledge gained from occupational cohort studies: a call for action.

    Occupational and Environmental Medicine 69(6):444 (2012) PMID 22213839

    ObjectivesAn immense body of knowledge has been created by establishing various job-exposure matrices (JEMs) to assess occupational exposures in community- and industry-based cohort studies. These JEMs could be made available to occupational epidemiologists using knowledge-sharing te...
  4. Occupational health impact of the 2009 H1N1 flu pandemic: surveillance of sickness absence.

    Occupational and Environmental Medicine 69(3):205 (2012) PMID 21676949

    We compared the numbers of cases of sickness absence due to illness caused by influenza and influenza-related illness in 2007-2009, and in the first 3 months of 2010 in Catalonia (n=811 940) using a time series approach. Trends were examined by economic activity, age and gender. The weekly endem...
  5. Structural equation models in occupational health: an application to exposure modelling.

    Occupational and Environmental Medicine 69(3):184 (2012) PMID 21680563

    Objectives Many occupational hygiene surveys are designed to collect pollutant monitoring data from multiple locations simultaneously to better reflect the reality of work-related exposure. The exposure model must account for the complexity inherent in this study design, as well as b...
  6. Should we warn against night shifts to prevent breast cancer?

    Occupational and Environmental Medicine (2010) PMID 20798013

  7. Optimising sampling strategies: components of low-back EMG variability in five heavy industries.

    Occupational and Environmental Medicine 67(12):853 (2010) PMID 20581418

    Background Direct/ measurement of work activities is costly, so researchers need to distribute resources efficiently to elucidate the relationships between exposures and back injury. Methods This study used data from full-shift electromyography (EMG; N=133) to develop three exposure...
  8. Answers to the questions on Measuring change in psychosocial working conditions: methodological issues to consider when data are collected a...
    Author(s) unavailable

    Occupational and Environmental Medicine 65(4):285 (2008) PMID 18349157

  9. Work factors as predictors of sickness absence attributed to airway infections; a three month prospective study of nurses' aides.

    Occupational and Environmental Medicine 61(1):45 (2004) PMID 14691272

    To identify the work factors that are related to sickness absence attributed to airway infections (AAI) in nurses' aides. The sample comprised 5563 Norwegian nurses' aides, not on sick leave when they completed a mailed questionnaire in 1999. Of these, 4931 (88.6%) co...
  10. Assessment of occupational exposures in a general population: comparison of different methods.

    Occupational and Environmental Medicine 56(3):145 (1999) PMID 10448321

    The results indicate that the implementation of job specific questionnaires in a general population study might be worth the extra expense it entails, bearing in mind the paramount importance of avoiding false positive exposure estimates when exposure prevalence is low....