OBJECTIVES: to determine the prevalence of three independent, disability-free and operationally defined frailty phenotypes and the associated risk of mortality in a community-dwelling older people cohort over 74 years of age. METHODS: observational, prospective and population-based design. Bio-psycho-social variables were assessed using a range of standardised instruments. The physical frailty phenotype (PFP), mental frailty phenotype (MFP) and social frailty phenotype (SFP) were operationally defined using a deficit accumulation model that excluded disability. Logistic regression analyses explored associations of the frailty phenotypes with sex, age and marital status, and a Cox proportional hazard regression analysis was performed to evaluate the association between frailty phenotypes and mortality. RESULTS: of the eligible individuals, 82% (n = 875) participated. The prevalence of any frailty phenotype in an individual was 38.8%; 17.3% exhibited the PFP, 20.2% exhibited the MFP, and 8.9% exhibited the SPF. Older and female were more likely to exhibit the PFP, and widowhood was associated with the SFP. The hazard ratios of mortality were 3.09 (95% CI = 1.54-6.17) for the PFP and 2.69 (95% CI = 1.01-7.25) for the SFP. CONCLUSION: three different disability-free frailty phenotypes were differentially related to the socio-demographical characteristics of sex, age and marital status and independently predicted risk of mortality.
OBJECTIVES: to determine the prevalence of three independent, disability-free and operationally defined frailty phenotypes and the associated risk of mortality in a community-dwelling older people cohort over 74 years of age. METHODS: observational, prospective and population-based design. Bio-psycho-social variables were assessed using a range of standardised instruments. The physical frailty phenotype (PFP), mental frailty phenotype (MFP) and social frailty phenotype (SFP) were operationally defined using a deficit accumulation model that excluded disability. Logistic regression analyses explored associations of the frailty phenotypes with sex, age and marital status, and a Cox proportional hazard regression analysis was performed to evaluate the association between frailty phenotypes and mortality. RESULTS: of the eligible individuals, 82% (n = 875) participated. The prevalence of any frailty phenotype in an individual was 38.8%; 17.3% exhibited the PFP, 20.2% exhibited the MFP, and 8.9% exhibited the SPF. Older and female were more likely to exhibit the PFP, and widowhood was associated with the SFP. The hazard ratios of mortality were 3.09 (95% CI = 1.54-6.17) for the PFP and 2.69 (95% CI = 1.01-7.25) for the SFP. CONCLUSION: three different disability-free frailty phenotypes were differentially related to the socio-demographical characteristics of sex, age and marital status and independently predicted risk of mortality.
Authors: Baback Roshanravan; Minesh Khatri; Cassianne Robinson-Cohen; Greg Levin; Kushang V Patel; Ian H de Boer; Stephen Seliger; John Ruzinski; Jonathan Himmelfarb; Bryan Kestenbaum Journal: Am J Kidney Dis Date: 2012-07-07 Impact factor: 8.860
Authors: M L Rietman; D L van der A; S H van Oostrom; H S J Picavet; M E T Dollé; H van Steeg; W M M Verschuren; A M W Spijkerman Journal: J Nutr Health Aging Date: 2018 Impact factor: 4.075
Authors: Benissa E Salem; Adeline M Nyamathi; Mary-Lynn Brecht; Linda R Phillips; Janet C Mentes; Catherine Sarkisian; Barbara Leake Journal: West J Nurs Res Date: 2013-05-15 Impact factor: 1.967
Authors: Jennifer L Guida; Alfonso J Alfini; Lisa Gallicchio; Adam P Spira; Neil E Caporaso; Paige A Green Journal: Sleep Date: 2021-07-09 Impact factor: 5.849