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BioMed Research International
Volume 2016, Article ID 7845438, 9 pages
http://dx.doi.org/10.1155/2016/7845438
Research Article

Different Multimorbidity Measures Result in Varying Estimated Levels of Physical Quality of Life in Individuals with Multimorbidity: A Cross-Sectional Study in the General Population

1Département de Médecine de Famille et de Médecine d’Urgence, Université de Sherbrooke, 3001 12e Avenue Nord, Sherbrooke, Québec, Canada J1H 5H3
2Centre Intégré Universitaire de Santé et de Services Sociaux du Saguenay-Lac-Saint-Jean, 305 Saint-Vallier, Chicoutimi, Canada
3Département de Médecine Générale, Université d’Angers, L’Université Nantes Angers Le Mans, 1 rue Haute de Reculée, 49045 Angers Cedex 01, France
4Laboratoire d’Ergonomie et d’Épidémiologie en Santé au Travail, Université d’Angers, L’Université Nantes Angers Le Mans, 1 rue Haute de Reculée, 49045 Angers Cedex 01, France
5Faculty of Medicine, McGill University, Montreal, Canada

Received 26 October 2015; Revised 8 February 2016; Accepted 21 February 2016

Academic Editor: Renè Melis

Copyright © 2016 Aline Ramond-Roquin et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Introduction. Multimorbidity adversely affects health-related quality of life. Methodological factors may impact the magnitude of this relationship. Objective. To evaluate how physical health-related quality of life varies in individuals with multimorbidity depending on the length of the list of candidate conditions considered. Methods. Secondary analysis from PRECISE, a cohort study of the general adult population of Quebec, Canada. Multimorbidity was measured using the 21-chronic condition list from the Disease Burden Morbidity Assessment, and physical health-related quality of life was measured using the physical component summary (PCS) of SF-12v2. The PCS was calculated, (a) using 2 or more conditions from the 21-condition list (MM2+, 21) and then from a reduced 6-condition list (MM2+, 6) and (b) using three or more conditions from each list (MM3+, 21, and MM3+, 6). Results. The analysis included 1,710 individuals (mean age 51.3, 40.5% men). Multimorbidity prevalence ranged from 63.8% (MM2+, 21 conditions) to 3.8% (MM3+, 6 conditions). The mean [95% CI] PCS dropped from 45.7 [CI: 45.0–46.3] (MM2+, 21) to 40.2 [CI: 38.7–41.8] (MM2+, 6) and from 44.2 [CI: 43.4–44.9] (MM3+, 21) to 34.8 [CI: 31.9–37.6] (MM3+, 6). Conclusion. The length of the list of candidate conditions considered has a great impact on the estimations of physical health-related quality of life.