TY - JOUR
T1 - Trajectories of multimorbidity and impacts on successful aging
AU - Hsu, Hui Chuan
N1 - Funding Information:
The research was supported by grants from the National Science Council, Taiwan, Republic of China ( NSC 101-2410-H-468-008-MY2 ). The data were provided by the Health Promotion Administration, Ministry of Health and Welfare, Taiwan, Republic of China. The interpretation and conclusions contained herein do not represent those of the Health Promotion Administration. This study received the approval of the Research Ethics Committee of the Central Regional Research Ethics Center, Taiwan, R. O. C. (No. CRREC-101-062). The author appreciates the assistance of Dr. Bobby L. Jones in developing the SAS program for the multiple group-based trajectory analysis used in this study.
Publisher Copyright:
© 2015 Elsevier Inc.
Copyright:
Copyright 2015 Elsevier B.V., All rights reserved.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Elderly people usually have multiple chronic diseases concurrently. However, studies of multimorbidity patterns over long time periods are scarce. The purpose of this study was to examine the joint trajectories of chronic multimorbidity among the Taiwanese elderly and to examine related factors and to predict later successful aging outcomes. The data used in this study were from a nation-representative panel survey conducted in Taiwan from 1993 to 2007. Those who participated in at least three waves of the survey were included in the analysis (in total 2584 persons and 57,012 observations). The chronic diseases included cardiovascular disease (CVD), chronic non-specific lung disease (CNSLD), arthritis, cancer, gastrointestinal disease (GI), and kidney disease. The multiple group-based trajectories analysis approach was applied to identify the trajectory groups. Four trajectory groups of multimorbidity were identified: low risk (55.51%), CVD risk only (15.55%), GI & CNSLD risk (20.20%), and multiple risks (8.74%). Related factors included age, level of education, physical functioning, depressive symptoms, and undergoing health examinations. The multimorbidity trajectories affected later physical functioning, depressive symptoms, cognitive function, and life satisfaction. Multiple trajectories of multimorbidity show the patterns of health burden and risks to successful aging among the elderly over time.
AB - Elderly people usually have multiple chronic diseases concurrently. However, studies of multimorbidity patterns over long time periods are scarce. The purpose of this study was to examine the joint trajectories of chronic multimorbidity among the Taiwanese elderly and to examine related factors and to predict later successful aging outcomes. The data used in this study were from a nation-representative panel survey conducted in Taiwan from 1993 to 2007. Those who participated in at least three waves of the survey were included in the analysis (in total 2584 persons and 57,012 observations). The chronic diseases included cardiovascular disease (CVD), chronic non-specific lung disease (CNSLD), arthritis, cancer, gastrointestinal disease (GI), and kidney disease. The multiple group-based trajectories analysis approach was applied to identify the trajectory groups. Four trajectory groups of multimorbidity were identified: low risk (55.51%), CVD risk only (15.55%), GI & CNSLD risk (20.20%), and multiple risks (8.74%). Related factors included age, level of education, physical functioning, depressive symptoms, and undergoing health examinations. The multimorbidity trajectories affected later physical functioning, depressive symptoms, cognitive function, and life satisfaction. Multiple trajectories of multimorbidity show the patterns of health burden and risks to successful aging among the elderly over time.
KW - Chronic disease
KW - Comorbidity
KW - Multimorbidity
KW - Multiple group-based trajectories
KW - Successful aging
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U2 - 10.1016/j.exger.2015.04.005
DO - 10.1016/j.exger.2015.04.005
M3 - Article
C2 - 25871727
AN - SCOPUS:84928032595
SN - 0531-5565
VL - 66
SP - 32
EP - 38
JO - Experimental Gerontology
JF - Experimental Gerontology
ER -