Job characteristics as predictors of ill-health and sickness absenteeism in different occupational types--a multigroup structural equation modelling approach

The objective of the present study was to test for multigroup invariance in measurement models and structural models between job characteristics, psychosocial intervening variables, health outcomes and sickness absenteeism. Four types of occupation were represented in the study: blue-collar workers ( n = 241), white-collar workers ( n = 209), elderly-care workers ( n = 338) and child-care workers ( n = 336). A first-order, six-factor multigroup confirmatory factor analysis model (i.e. measurement model) composed of two perceived job characteristics ( job autonomy and skill discretion), appraised workload, job satisfaction, stress-related ill-health and sickness absenteeism provided a good model fit. Invariance tests showed that the six-factor model fits well for all occupations. A partially recursive mediated multigroup structural model showed both similarities and differences across occupations as regards the relationships between independent latent variables ( job autonomy, skill discretion), intervening latent variables (appraised workload, job satisfaction) and dependent latent variables (stressrelated ill-health, sickness absenteeism). By comparing a generic model with occupation-specific models across occupations, this study showed that occupation-specific models were more plausible. The results indicate that it is important to examine different occupational contexts in detail to better understand how certain psychosocial factors at work influence strain in different occupations. Since job characteristics can potentially be amended, the findings have important implications for the differentiation of prevention and intervention in different occupations.     

A cross-validation of a structural equation model of accidents: organizational and psychological variables as predictors of work safety

A study to establish a structural equation model of accidents is presented. The eight variables included in the model were those associated with accidents in previous research. The reliability of questionnaires to measure those variables and a structural equation model relating them are provided. The model explaining the occurrence of accidents was cross-validated through three Spanish samples (n=123; 182; 124).The model presented a good fit to data in two samples, while a third had unclear fit indices. Therefore, most relationships among variables did not vary among these three samples. The role of the safety variables in the model is discussed. The discussion is also focused on risk measurement difficulties commonly reported in the literature. Finally, some suggestions for future safety research with structural equation modelling techniques are provided.     

Childcare involvement, job characteristics, gender and work attitudes as predictors of emotional exhaustion and sickness absence

Reports in the literature vary regarding the existence of gender differences in relation to burnout and sickness absence. To investigate this, the present study was aimed at investigating the role of several gender-relevant variables, particularly childcare obligations, job characteristics, and work attitudes in emotional exhaustion and sickness absence in 404 male and female nurses in an institution for people with learning difficulties. Questionnaires were administered reflecting demographic and job characteristics, work and non-work attitudes, and emotional exhaustion (as measured by the Emotional Exhaustion Scale of the Maslach Burnout Inventory). Female nurses were expected to report higher levels of emotional exhaustion and to be absent through sickness more often than men. Also, childcare investment, job characteristics, and (non) work attitudes were expected—via emotional exhaustion—to predict gender differences in sickness absence. It was found that women did not have higher sickness absence rates, and although a gender difference appeared in emotional exhaustion it was in the opposite direction from that predicted. For both genders, emotional exhaustion had a significant positive effect on sickness absence, and especially childcare investment and number of work hours appeared to contribute to both outcomes. These results are of interest because, despite current stereotypes, sickness absence was not higher in women, and neither were women more at risk for emotional exhaustion. In particular, load—workload as well as care load—appeared to predict emotional exhaustion and thus sickness absence.