Dyego Leandro Bezerra de Souza1,2,3, Albert Oliveras-Fabregas3,4, Albert Espelt5,6,7, Marina Bosque-Prous8, Marianna de Camargo Cancela9, Ester Teixidó-Compañó5, Javier Jerez-Roig2,3. 1. Department of Collective Health, Graduate Programme in Collective Health, Federal University of Rio Grande do Norte, Natal, Brazil. 2. Postgraduate Programme in Collective Health, Federal University of Rio Grande do Norte (UFRN), Natal-RN, Brazil. 3. Faculty of Health Sciences and Welfare, Research group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Centre for Health and Social Care Research (CESS), University of Vic-Central University of Catalonia (UVic-UCC), Barcelona, Spain. 4. Faculty of Psychology, Education and Sport Sciences Blanquerna, Physical Activity, Sport and Health Research Group, Universitat Ramon Llull, Barcelona, Spain. 5. Faculty of Health Sciences of Manresa, University of Vic-Central University of Catalonia, Manresa, Spain. 6. Departament de Psicobiologia i Metodologia en Ciències de la Salut, Universitat Autònoma de Barcelona (UAB), Bellaterra, Spain. 7. Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain. 8. Faculty of Health Sciences, Universitat Oberta de Catalunya, Barcelona, Spain. 9. Brazilian National Cancer Institute, Rio de Janeiro, Brazil.
Abstract
AIMS: To estimate the prevalence of multimorbidity among European community-dwelling adults, as well as to analyse the association with gender, age, education, self-rated health, loneliness, quality of life, size of social network, Body Mass Index (BMI) and disability. METHODS: A cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 63,844) from 17 European countries were selected. Multimorbidity was defined as presenting two or more health conditions. The independent variables were gender, age group, educational level, self-rated health, loneliness, size of network, quality of life, BMI and disability (1+ limitations of basic activities of daily living). Poisson regression models with robust variance were fit for bivariate and multivariate analysis. RESULTS: The prevalence of multimorbidity was 28.2% (confidence interval-CI 95%: 27.5.8-29.0) among men and 34.5% (CI95%: 34.1-35.4) among women. The most common health conditions were cardiometabolic and osteoarticular diseases in both genders, and emotional disorders in younger women. A large variability in the prevalence of multimorbidity in European countries was verified, even between countries of the same region. CONCLUSIONS: Multimorbidity was associated with sociodemographic and physical characteristics, self-rated health, quality of life and loneliness.
AIMS: To estimate the prevalence of multimorbidity among European community-dwelling adults, as well as to analyse the association with gender, age, education, self-rated health, loneliness, quality of life, size of social network, Body Mass Index (BMI) and disability. METHODS: A cross-sectional study based on wave 6 (2015) of the Survey of Health, Ageing and Retirement in Europe (SHARE) was conducted, and community-dwelling participants aged 50+ (n = 63,844) from 17 European countries were selected. Multimorbidity was defined as presenting two or more health conditions. The independent variables were gender, age group, educational level, self-rated health, loneliness, size of network, quality of life, BMI and disability (1+ limitations of basic activities of daily living). Poisson regression models with robust variance were fit for bivariate and multivariate analysis. RESULTS: The prevalence of multimorbidity was 28.2% (confidence interval-CI 95%: 27.5.8-29.0) among men and 34.5% (CI95%: 34.1-35.4) among women. The most common health conditions were cardiometabolic and osteoarticular diseases in both genders, and emotional disorders in younger women. A large variability in the prevalence of multimorbidity in European countries was verified, even between countries of the same region. CONCLUSIONS: Multimorbidity was associated with sociodemographic and physical characteristics, self-rated health, quality of life and loneliness.
Authors: Claudia P Diederichs; Jürgen Wellmann; Dorothee B Bartels; Ute Ellert; Wolfgang Hoffmann; Klaus Berger Journal: J Clin Epidemiol Date: 2012-03-16 Impact factor: 6.437
Authors: Albert Espelt; Carme Borrell; Maica Rodríguez-Sanz; Carles Muntaner; M Isabel Pasarín; Joan Benach; Maartje Schaap; Anton E Kunst; Vicente Navarro Journal: Int J Epidemiol Date: 2008-03-13 Impact factor: 7.196
Authors: Karen Barnett; Stewart W Mercer; Michael Norbury; Graham Watt; Sally Wyke; Bruce Guthrie Journal: Lancet Date: 2012-05-10 Impact factor: 79.321
Authors: Markus Gnädinger; Lilli Herzig; Alessandro Ceschi; Dieter Conen; Alfred Staehelin; Marco Zoller; Milo A Puhan Journal: Int J Public Health Date: 2018-05-21 Impact factor: 3.380
Authors: Martin Fortin; Lise Lapointe; Catherine Hudon; Alain Vanasse; Antoine L Ntetu; Danielle Maltais Journal: Health Qual Life Outcomes Date: 2004-09-20 Impact factor: 3.186
Authors: Mika Kivimäki; Eeva Kuosma; Jane E Ferrie; Ritva Luukkonen; Solja T Nyberg; Lars Alfredsson; G David Batty; Eric J Brunner; Eleonor Fransson; Marcel Goldberg; Anders Knutsson; Markku Koskenvuo; Maria Nordin; Tuula Oksanen; Jaana Pentti; Reiner Rugulies; Martin J Shipley; Archana Singh-Manoux; Andrew Steptoe; Sakari B Suominen; Töres Theorell; Jussi Vahtera; Marianna Virtanen; Peter Westerholm; Hugo Westerlund; Marie Zins; Mark Hamer; Joshua A Bell; Adam G Tabak; Markus Jokela Journal: Lancet Public Health Date: 2017-05-19
Authors: Karina Glies Vincents Seeberg; Sebastian Venge Skovlund; Rúni Bláfoss; Kristina Thomassen; Lasse Malchow-Møller; Emil Sundstrup; Lars Louis Andersen Journal: Int J Environ Res Public Health Date: 2022-04-20 Impact factor: 4.614
Authors: Lízie Emanuelle Eulálio Brasileiro; Aílla Lorenna de Medeiros Paiva; Maria Yasmin Dantas de Medeiros; Javier Jerez-Roig; Dyego Leandro Bezerra de Souza Journal: BMJ Open Date: 2021-07-20 Impact factor: 2.692