Jan Johansson Hanse

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.

Sense of Coherence and Ill Health Among the Unemployed and Re-employed After Closure of an Assembly Plant

The aim of this study was to investigate the relationship between employment status, ill health and sense of coherence(SOC). A cross-sectional sample of the former workers at the closed down Volvo Kalmar plant in Sweden was used. A questionnaire was mailed to all identified subjects 2 years after the closure of the plant. Responses were obtained from 344 persons, of whom 173 were re-employed and 92 were unemployed. They answered the questionnaire anonymously on background variables, SOC and ill health (physical and psychological symptoms). A notable difference was found between the re-employed and unemployed, where the unemployed reported symptoms significantly more often as well as a significantly weaker SOC. A main finding in a four cell model indicated that unemployment had a rather low impact on symptoms in the presence of a strong SOC. Structural equation modelling (SEM) was performed with simultaneous analysis of the unemployed and reemployed. The SEM analysis indicated that SOC seemed to have a gre...

Ergonomisk Værdistrømsanalyse (ErgoVSM) - Værktøj og brugerguide

General information State: Published Organisations: Department of Management Engineering, Management Science, Implementation and Performance Management, Swerea AB, Nordic School of Public Health NHV, Sahlgrenska University Hospital, Reykjavík University, University of Iceland Contributors: Jarebrant, C., Johansson Hanse, J., Harlin, U., Ulin, K., Winkel, J., Edwards, K., Birgisdóttir, B. D., Gunnarsdóttir, S. Publication date: 2016