Related Experiment Video
Updated: Jul 20, 2026

A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Multilevel analysis of workplace and individual risk factors for long-term sickness absence
Merete Labriola1, Karl B Christensen, Thomas Lund
1National Institute of Occupational Health, Copenhagen, Denmark. mla@ami.dk
Objective:
The objective of this study was to examine if psychosocial and physical work-environment factors predict long-term sickness absence (>8 weeks) at both the individual and the workplace level.
Material And Methods:
Data were collected in a prospective study in 52 Danish workplaces. Psychosocial factors were aggregated as workplace means. We used multilevel logistic regression models with psychosocial factors as predictors of long-term sickness absence over 5 years based on data from a national absence register.
Results:
Long-term sickness absence was predicted by physical work-environment factors at the individual level and psychosocial work environment factors at the workplace level. Interaction between the individual physical and workplace-level psychosocial risk factors was found.
Conclusion:
Workplace-based absence reduction interventions can be enhanced by concurrently addressing the individual and the workplace level.
Related Concept Videos
Factors Affecting Illness
For instance, risk factors are connected to illness, disability,...
Longitudinal Research
Assumptions of Survival Analysis
Classification of Illness
An illness is a response to a disease in which the person's level of functioning is changed compared with a previous level. The general classification of illness includes acute and chronic.
Acute illness is severe and...
Longitudinal Studies
Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...