Measuring multimorbidity in a working population: the effect on incident sickness absence.
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- dc.contributor.author Ubalde López, Mònica, 1972-ca
- dc.contributor.author Delclòs i Clanchet, Jordi, 1956-ca
- dc.contributor.author Benavides, Fernando G. (Fernando García)ca
- dc.contributor.author Calvo Bonacho, Evaca
- dc.contributor.author Gimeno Ruiz de Porras, Davidca
- dc.date.accessioned 2016-05-11T08:27:39Z
- dc.date.available 2016-05-11T08:27:39Z
- dc.date.issued 2016
- dc.description.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 conditions and health behaviors, and (2) pain symptoms, in addition to sleep disturbances in women. More men than women had at least one condition (40 vs 15 %) and two or more (i.e., multimorbidity) (12 vs 2 %). The MDMS among those with multimorbidity ranged from 16.8 (SD 2.4) to 51.7 (SD 9.9) in men and 18.5 (SD 5.8) to 43.8 (SD 7.8) in women. We found that the greater the number of health conditions, the higher the risk of SA. A higher MDMS was also a risk factor for incident SA, even after adjusting for prior SA and other covariates. In women, this trend was less evident. CONCLUSIONS: A score incorporating chronic health conditions, behaviors, and symptoms provides a more holistic approach to multimorbidity and may be useful for defining health status in working populations and for predicting key occupational outcomes.ca
- dc.description.sponsorship This study was partially supported by the Plan Estatal de I+D+i 2013–2016 and the ISCIII-Subdirección General de Evaluación y Fomento de la Investigación (Grant PI13/00749) and FEDER, by the CIBER of Epidemiology and Public Health in Spain and by discretionary funds from The University of Texas School of Public Health (UTSPH), under a joint Letter of Agreement between Universitat Pompeu Fabra and the UTSPH.
- dc.format.mimetype application/pdfca
- dc.identifier.citation Ubalde-Lopez M, Delclos GL, Benavides FG, Calvo-Bonacho E, Gimeno D. Measuring multimorbidity in a working population: the effect on incident sickness absence. Int Arch Occup Environ Health. 2016 May;89(4):667-78. DOI: 10.1007/s00420-015-1104-4ca
- dc.identifier.doi http://dx.doi.org/10.1007/s00420-015-1104-4
- dc.identifier.issn 0340-0131
- dc.identifier.uri http://hdl.handle.net/10230/26264
- dc.language.iso engca
- dc.publisher Springerca
- dc.relation.ispartof International Archives of Occupational and Environmental Health. 2016 May;89(4):667-78
- dc.rights This article is distributed under the terms of the Creative Commons Attribution 4.0 International License http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.ca
- dc.rights.accessRights info:eu-repo/semantics/openAccessca
- dc.rights.uri http://creativecommons.org/licenses/by/4.0/
- dc.subject.other Treballadors -- Salutca
- dc.title Measuring multimorbidity in a working population: the effect on incident sickness absence.ca
- dc.type info:eu-repo/semantics/articleca
- dc.type.version info:eu-repo/semantics/publishedVersionca