Dataset Information

Job strain and the incidence of coronary heart diseases: does the association differ among occupational classes? A contribution from a pooled analysis of Northern Italian cohorts.

ABSTRACT:

Objectives

To assess the association between job strain (JS) and the incidence of coronary heart disease (CHD) in North Italian employed men, adopting a stratified analysis by occupational class (OC).

Methods

The study was conducted on 4103 working men, CHD-free at baseline, enrolled in population-based and factory-based cohorts. Risk factor measurements and follow-up procedures were carried out adopting the WHO MONICA standardised procedures. OCs were derived from the Erikson-Goldthorpe-Portocarero classification. JS categories were defined based on overall sample medians of psychological job demand (PJD) and decision latitude (DL) derived from items of the Job Content Questionnaire, satisfying construct validity criteria. Age-adjusted and risk factors-adjusted CHD HRs were estimated from Cox models, contrasting high-strain (high PJD and low DL) versus non-high-strain categories.

Results

In a median follow-up of 14.6?years, 172 CHD events occurred, corresponding to a CHD incidence rate of 2.78/1000 person-years. In the overall sample, high-strain compared with non-high-strain workers evidenced a 39% excess CHD risk, not statistically significant. No association was found among managers and proprietors. Conversely, the HR of high strain versus non-high strain was 1.78 (95% CI 1.20 to 2.66) among non-manual and manual workers, with no substantial differences between them. The exclusion of the events occurring in the first 3?years of follow-up did not change the results. Adopting the quadrant-term JS groupings, among manual and non-manual workers, high-strain and active (high PJD and high DL) categories in comparison to the low strain one (low PJD and high DL) showed HRs of 2.92 and 2.47, respectively.

Conclusions

Our findings support the association of JS and CHD incidence among manual and non-manual workers. The non-high strain may not be the best reference category, when assessing the contribution of JS in determining CHD incidence.

SUBMITTER: Ferrario MM

PROVIDER: S-EPMC5278242 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

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Publications

Job strain and the incidence of coronary heart diseases: does the association differ among occupational classes? A contribution from a pooled analysis of Northern Italian cohorts.

Ferrario Marco M MM Veronesi Giovanni G Bertù Lorenza L Grassi Guido G Cesana Giancarlo G

BMJ open 20170124 1

<h4>Objectives</h4>To assess the association between job strain (JS) and the incidence of coronary heart disease (CHD) in North Italian employed men, adopting a stratified analysis by occupational class (OC).<h4>Methods</h4>The study was conducted on 4103 working men, CHD-free at baseline, enrolled in population-based and factory-based cohorts. Risk factor measurements and follow-up procedures were carried out adopting the WHO MONICA standardised procedures. OCs were derived from the Erikson-Gol ...[more]

PMID: 28119392

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Project description:BackgroundJob satisfaction of staff is an essential outcome variable in research when describing the work environment of successful hospitals. Numerous studies have evaluated the topic, but few previous studies have assessed the job satisfaction of all staff in hospital settings. It is important to discover if there are any unsatisfied groups of people working in hospitals, the aspects they are unsatisfied with and why. The aim of this study was to evaluate job satisfaction of all staff working at a Finnish university hospital, identify differences in job satisfaction between staff groups, and explore the relationship between their self-evaluated quality of work and job satisfaction.MethodsData were collected from 1424 employees of the hospital using the web-based Kuopio University Job Satisfaction Scale survey instrument in autumn 2010. The research data were analysed by using SPSS 19.0 for Windows. Frequency and percentage distributions, as well as mean values, were used to describe the data. A non-parametric test (Kruskal-Wallis test) was used to determine the significance of differences in scores between different groups of staff members and between quality evaluations.ResultsThe overall job satisfaction of the employees was good. They rated both motivating factors of their work and work welfare as excellent. The areas causing most dissatisfaction were work demands and participation in decision making. Physicians formed the most satisfied group, nurses and maintenance staff were the least satisfied, and office and administrative staff were fairly satisfied. Staff who rated the quality of work in their units as high usually also considered their job satisfaction to be excellent.ConclusionsEvery staff member has an influence on job satisfaction in her/his unit. A culture of participation should be developed and maintained in the units and the whole hospital to ensure that all staff feel they play important roles in the hospital. A university hospital is a complex, continuously changing work environment. Managers of the hospital should continuously evaluate job satisfaction and quickly react to the results gained.

Dataset Information

Job strain and the incidence of coronary heart diseases: does the association differ among occupational classes? A contribution from a pooled analysis of Northern Italian cohorts.

Objectives

Methods

Results

Conclusions

Publications

Job strain and the incidence of coronary heart diseases: does the association differ among occupational classes? A contribution from a pooled analysis of Northern Italian cohorts.

Similar Datasets

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