Global Multimorbidity Patterns: A Cross-Sectional, Population-Based, Multi-Country Study

被引:400
|
作者
Garin, Noe [1 ,2 ,3 ,4 ]
Koyanagi, Ai [3 ,4 ]
Chatterji, Somnath [5 ]
Tyrovolas, Stefanos [3 ,4 ]
Olaya, Beatriz [3 ,4 ]
Leonardi, Matilde [6 ]
Lara, Elvira [3 ,4 ]
Koskinen, Seppo [7 ]
Tobiasz-Adamczyk, Beata [8 ]
Luis Ayuso-Mateos, Jose [4 ,9 ,10 ]
Maria Haro, Josep [3 ,4 ]
机构
[1] Hosp Santa Creu & Sant Pau, Dept Pharm, Inst Invest Biomed St Pau IIB St Pau, Barcelona, Spain
[2] Univ Autonoma Barcelona, Bellaterra, Cerdanyola Del, Spain
[3] Univ Barcelona, Res & Dev Unit, Parc Sanitari St Joan de Deu,Dr Antoni Pujades 42, Barcelona 08830, Spain
[4] Inst Salud Carlos III, Ctr Invest Biomed Red Salud Mental, CIBERSAM, Madrid, Spain
[5] WHO, Dept Hlth Stat & Informat Syst, CH-1211 Geneva, Switzerland
[6] Carlo Besta IRCCS Fdn, Neurol Inst, Neurol Publ Hlth & Disabil Unit, Milan, Italy
[7] Natl Inst Hlth & Welf, Helsinki, Finland
[8] Jagiellonian Univ, Coll Med, Dept Epidemiol, Krakow, Poland
[9] Hosp Univ La Princesa, Inst Invest Sanitaria Princesa IP, Dept Psychiat, Madrid, Spain
[10] Univ Autonoma Madrid, Dept Psychiat, E-28049 Madrid, Spain
来源
JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES | 2016年 / 71卷 / 02期
关键词
Multimorbidities; Public health; Health disparities; Epidemiology; Morbidity; Socioeconomic issues; ACUTE MYOCARDIAL-INFARCTION; HEALTH-CARE; INHALED CORTICOSTEROIDS; SOUTH-AFRICA; OLDER-ADULTS; RISK; COPD; COMORBIDITY; PREVALENCE; EDUCATION;
D O I
10.1093/gerona/glv128
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Background. Population ageing challenges health care systems due to the high prevalence and impact of multimorbidity in older adults. However, little is known about how chronic conditions present in certain multimorbidity patterns, which could have great impact on public health at several levels. The aim of our study was to identify and describe multimorbidity patterns in low-, middle-, and high-income countries. Methods. We analyzed data from the Collaborative Research on Ageing in Europe project (Finland, Poland, and Spain) and the World Health Organization's Study on Global Ageing and Adult Health (China, Ghana, India, Mexico, Russia, and South Africa). These cross-sectional studies obtained data from 41,909 noninstitutionalized adults older than 50 years. Exploratory factor analysis was performed to detect multimorbidity patterns. Additional adjusted binary logistic regressions were performed to identify associations between sociodemographic factors and multimorbidity. Results. Overall multimorbidity prevalence was high across countries. Hypertension, cataract, and arthritis were the most prevalent comorbid conditions. Two or three multimorbidity patterns were found per country. Several patterns were identified across several countries: "cardiorespiratory" (angina, asthma, and chronic obstructive pulmonary disease), "metabolic" (diabetes, obesity, and hypertension), and "mentalarticular" (arthritis and depression). Conclusions. A high prevalence of multimorbidity occurs in older adults across countries, with low-and middle-income countries gradually approaching the figures of richer countries. Certain multimorbidity patterns are present in several countries, which suggest that common underlying etiopathogenic factors may play a role. Deeper understanding of these patterns may lead to the development of preventive actions to diminish their prevalence and also give rise to new, comprehensive approaches for the management of these co-occurring conditions.
引用
收藏
页码:205 / 214
页数:10
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