Objectives: The main goal of this study was to evaluate, in a large, occupationally diverse sample of Colombian workers, the association between alternative methods of operationalizing job strain and various health and well-being measures using the original Job Content Instrument (Job Content Questionnaire). We examine whether the specific way job strain is operationalized can explains differing variance in the outcomes.

Methods: A cross-sectional survey was conducted using self-report instruments. A total of 168 496 workers affiliated with the Colombian General System of Occupational Hazards answered a questionnaire that evaluated demographics, job demands and control, stress symptoms, general and mental health, vitality, job satisfaction, and diagnosis of hypertension. Hierarchical linear and logistic regression analyses were conducted. Seven different formulations of job strain were used as predictors.

Results: Results Differences in operationalization of job strain explained similar and significant percentages of variance in outcomes used in this study. Definition of job strain as cases found within the most extreme quartiles of high demands and low control explained more variance than alternative characterizations of job strain. Job strain definitions were predictive of hypertension, although did not explain additional variance in the model.

Conclusions: The effect of psychological demands and control on health and well-being appears to be additive and not multiplicative. A definition of job strain that takes into account those most at risk in the sample appears have a better predictive value than alternative formulations.

Download full-text PDF

Source
http://dx.doi.org/10.1002/ajim.23087DOI Listing

Publication Analysis

Top Keywords

job strain
36
job
13
health well-being
12
strain
9
strain health
8
job content
8
demands control
8
definition job
8
associations alternative
4
alternative operationalizations
4

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!