Ontology highlight
ABSTRACT: Purpose
Multimorbidity research typically focuses on chronic and common diseases in patient and/or older populations. We propose a multidimensional multimorbidity score (MDMS) which incorporates chronic conditions, symptoms, and health behaviors for use in younger, presumably healthier, working populations.Methods
Cross-sectional study of 372,370 Spanish workers who underwent a standardized medical evaluation in 2006. We computed a MDMS (range 0-100) based on the sex-specific results of a multicorrespondence analysis (MCA). We then used Cox regression models to assess the predictive validity of this MDMS on incident sickness absence (SA) episodes.Results
Two dimensions in the MCA explained about 80% of the variability in both sexes: (1) chronic cardiovascular condit
SUBMITTER: Ubalde-Lopez M
PROVIDER: S-EPMC4828479 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature