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  • 1
    Publication Date: 2015-03-17
    Description: Objectives Perceived time pressure at work has increased in most European countries during recent decades. Time pressure may be harmful for employees’ health and well-being. The aim of this register-based follow-up study is to investigate whether the effects of time pressure on long sickness absence vary by the level of working time control. Methods The data are taken from the Finnish Quality of Work Life Survey 2003 (n=3400), a representative sample of Finnish employees, combined with a register-based follow-up from Statistics Finland covering the years 2002–2006. In the 2003 survey, employees were asked about their perceived time pressure and to what extent they had control over working time. The register data included information on long-term (more than 10 days) sickness absence. A negative binomial model was used in the analysis of long-term sickness absence days during 2004–2006. The results are adjusted for several background and work-related factors and controlled for baseline absenteeism in 2002. Results High working time control decreased and high time pressure increased long-term sickness absence. The highest incidence of long-term sickness absence was found in time strain situations (high time pressure, low time control). However, there was no statistical interaction between working time control and time pressure. Conclusions Establishments that use working time control as a human resource instrument may benefit from reduced absenteeism. However, following the ‘strain’ hypothesis it is insufficient to focus solely on working time control as high time pressure maintains its detrimental effect on employees’ health.
    Keywords: Musculoskeletal
    Print ISSN: 1351-0711
    Electronic ISSN: 1470-7926
    Topics: Medicine
    Published by BMJ Publishing Group
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  • 2
    Publication Date: 2015-01-10
    Description: Background Six research groups independently conducted prospective studies of carpal tunnel syndrome (CTS) incidence in 54 US workplaces in 10 US States. Physical exposure variables were collected by all research groups at the individual worker level. Data from these research groups were pooled to increase the exposure spectrum and statistical power. Objective This paper provides a detailed description of the characteristics of the pooled physical exposure variables and the source data information from the individual research studies. Methods Physical exposure data were inspected and prepared by each of the individual research studies according to detailed instructions provided by an exposure subcommittee of the research consortium. Descriptive analyses were performed on the pooled physical exposure data set. Correlation analyses were performed among exposure variables estimating similar exposure aspects. Results At baseline, there were a total of 3010 participants in the pooled physical exposure data set. Overall, the pooled data meaningfully increased the spectra of most exposure variables. The increased spectra were due to the wider range in exposure data of different jobs provided by the research studies. The correlations between variables estimating similar exposure aspects showed different patterns among data provided by the research studies. Conclusions The increased spectra of the physical exposure variables among the data pooled likely improved the possibility of detecting potential associations between these physical exposure variables and CTS incidence. It is also recognised that methods need to be developed for general use by all researchers for standardisation of physical exposure variable definition, data collection, processing and reduction.
    Keywords: Musculoskeletal
    Print ISSN: 1351-0711
    Electronic ISSN: 1470-7926
    Topics: Medicine
    Published by BMJ Publishing Group
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
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