OBJECTIVES: This study investigates the factors associated with frailty and the association of frailty with mortality in a national sample of adults aged 65-109 in China. METHODS: Using the 2002 wave of the Chinese Longitudinal Healthy Longevity Survey, we construct a frailty index (FI) based on 39 measures available in the data set. We use ordinal logistic regressions to examine the factors associated with the FI and use Weibull hazard regression to examine the association between frailty and 3-year mortality from 2002 to 2005. RESULTS: Age, sex, ethnicity, urban-rural residence, economic condition, religious involvement, and daily exercise are significantly associated with levels of frailty. Hazard analyses further reveal that the FI is a robust predictor of mortality at advanced ages and that the relationship between frailty and mortality is independent of various covariates. Discussion The measurement and analysis of frailty have broad implications for public health initiatives designed to target individuals with the diminished capacity to effectively compensate for external stressors and to prevent further declines associated with aging and mortality. A key to healthy longevity is the prevention, postponement, and potential recovery from physical and cognitive deficits at advanced ages through enhanced medical interventions and treatments.
OBJECTIVES: This study investigates the factors associated with frailty and the association of frailty with mortality in a national sample of adults aged 65-109 in China. METHODS: Using the 2002 wave of the Chinese Longitudinal Healthy Longevity Survey, we construct a frailty index (FI) based on 39 measures available in the data set. We use ordinal logistic regressions to examine the factors associated with the FI and use Weibull hazard regression to examine the association between frailty and 3-year mortality from 2002 to 2005. RESULTS: Age, sex, ethnicity, urban-rural residence, economic condition, religious involvement, and daily exercise are significantly associated with levels of frailty. Hazard analyses further reveal that the FI is a robust predictor of mortality at advanced ages and that the relationship between frailty and mortality is independent of various covariates. Discussion The measurement and analysis of frailty have broad implications for public health initiatives designed to target individuals with the diminished capacity to effectively compensate for external stressors and to prevent further declines associated with aging and mortality. A key to healthy longevity is the prevention, postponement, and potential recovery from physical and cognitive deficits at advanced ages through enhanced medical interventions and treatments.
Authors: L P Fried; C M Tangen; J Walston; A B Newman; C Hirsch; J Gottdiener; T Seeman; R Tracy; W J Kop; G Burke; M A McBurnie Journal: J Gerontol A Biol Sci Med Sci Date: 2001-03 Impact factor: 6.053
Authors: Z Liu; Q Wang; T Zhi; Y Zhu; Y Wang; Z Wang; J Shi; X Xie; X Chu; X Wang; X Jiang Journal: J Nutr Health Aging Date: 2016 Impact factor: 4.075
Authors: M Kristen Peek; Bret T Howrey; Rafael Samper Ternent; Laura A Ray; Kenneth J Ottenbacher Journal: J Gerontol B Psychol Sci Soc Sci Date: 2012-09-25 Impact factor: 4.077
Authors: Olga Theou; Thomas D Brothers; Michael R Rockwood; David Haardt; Arnold Mitnitski; Kenneth Rockwood Journal: Age Ageing Date: 2013-02-25 Impact factor: 10.668
Authors: José Juan García-González; Carmen García-Peña; Francisco Franco-Marina; Luis Miguel Gutiérrez-Robledo Journal: BMC Geriatr Date: 2009-11-03 Impact factor: 3.921
Authors: Shahrul Kamaruzzaman; George B Ploubidis; Astrid Fletcher; Shah Ebrahim Journal: Health Qual Life Outcomes Date: 2010-10-28 Impact factor: 3.186