Chen-Wei Pan1, Rui-Jie Liu2, Xue-Jiao Yang1, Qing-Hua Ma3, Yong Xu1, Nan Luo4, Pei Wang5,6. 1. School of Public Health, Medical College of Soochow University, Suzhou, China. 2. School of Public Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China. 3. The 3rd People's Hospital of Xiangcheng District, Suzhou, China. 4. Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. 5. School of Public Health, Fudan University, 130 Dong An Road, Shanghai, 200032, China. wang_p@fudan.edu.cn. 6. Key Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), Shanghai, China. wang_p@fudan.edu.cn.
Abstract
PURPOSE: To assess the ability of the 3-level EQ-5D (i.e., EQ-5D-3L) in predicting all-cause mortality in older Chinese adults. METHODS: The data were from a 5-year longitudinal study, Weitang Geriatric Diseases Study, including 4579 community-dwelling older people in eastern China, with the mean age of 72.5 years at baseline and female being 52.0%. Three multivariable logistic regression models were adopted to assess the associations of the baseline EQ-5D data [i.e., the EQ-5D problems, EQ-5D-3L index score, and EQ-5D visual analog scale (VAS) score] with the 5-year all-cause mortality, adjusting for socio-demographic characteristics, and subsequently, health conditions and lifestyle habits. RESULTS: A total of 183 participants died over the 5-year study period. A larger proportion of the dead reported problems in physical dimensions (i.e., including three dimensions: mobility, self-care, and usual activities, p < 0.05 for all). The mean EQ-5D index score (0.928) and EQ-VAS score (79.7) of the living were higher than those of the dead (0.915 and 73.2, p < 0.05 for both). In multivariable logistic analyses, the EQ-5D health problems in the physical-related dimensions [odds ratio (OR) 2.16, p < 0.05] and the EQ-VAS score (OR: 0.97, p < 0.001) were associated with the 5-year all-cause mortality when adjusting for socio-demographic characteristics, health conditions, and lifestyle habits. CONCLUSIONS: It appears that the EQ-5D-3L could predict mortality in general older Chinese, which could be used to detect high-risk older individuals in China.
PURPOSE: To assess the ability of the 3-level EQ-5D (i.e., EQ-5D-3L) in predicting all-cause mortality in older Chinese adults. METHODS: The data were from a 5-year longitudinal study, Weitang Geriatric Diseases Study, including 4579 community-dwelling older people in eastern China, with the mean age of 72.5 years at baseline and female being 52.0%. Three multivariable logistic regression models were adopted to assess the associations of the baseline EQ-5D data [i.e., the EQ-5D problems, EQ-5D-3L index score, and EQ-5D visual analog scale (VAS) score] with the 5-year all-cause mortality, adjusting for socio-demographic characteristics, and subsequently, health conditions and lifestyle habits. RESULTS: A total of 183 participantsdied over the 5-year study period. A larger proportion of the dead reported problems in physical dimensions (i.e., including three dimensions: mobility, self-care, and usual activities, p < 0.05 for all). The mean EQ-5D index score (0.928) and EQ-VAS score (79.7) of the living were higher than those of the dead (0.915 and 73.2, p < 0.05 for both). In multivariable logistic analyses, the EQ-5D health problems in the physical-related dimensions [odds ratio (OR) 2.16, p < 0.05] and the EQ-VAS score (OR: 0.97, p < 0.001) were associated with the 5-year all-cause mortality when adjusting for socio-demographic characteristics, health conditions, and lifestyle habits. CONCLUSIONS: It appears that the EQ-5D-3L could predict mortality in general older Chinese, which could be used to detect high-risk older individuals in China.
Entities:
Keywords:
China; EQ-5D-3L; Health-related quality of life; Mortality; Older adults
Authors: Mikko P Björkman; Kaisu H Pitkala; Satu Jyväkorpi; Timo E Strandberg; Reijo S Tilvis Journal: Exp Gerontol Date: 2019-04-24 Impact factor: 4.032
Authors: Stefanie L De Buyser; Mirko Petrovic; Youri E Taes; Kaatje R C Toye; Jean-Marc Kaufman; Stefan Goemaere Journal: Eur J Clin Invest Date: 2013-02-10 Impact factor: 4.686
Authors: Sara Higueras-Fresnillo; Verónica Cabanas-Sánchez; Esther García-Esquinas; Fernando Rodríguez-Artalejo; David Martinez-Gomez Journal: Qual Life Res Date: 2018-09-11 Impact factor: 4.147