| 1. Abizanda et al. (2013) |
Albacete, Spain (n = 993) |
79,4±6,4 |
Cohort |
n = 650 |
M/F |
Physical Frailty, morality, disability and activities of daily living |
Descriptive statistics and frequency, logistic regression, comparative analysis and relative risk. |
To analyse whether frailty implies increased risk of death and incident disability. |
| n = 482 (74) |
n= 168 (26) |
| 2. Alencar et al. (2013) |
Belo Horizonte, Brazil (n = 207) |
78,37±7,2 |
observational |
n = 160 |
M |
Physical Frailty, cognitive status, hospitalization and death |
Descriptive statistics and frequency; comparative analysis and relative risk. |
Evaluate associations between frailty status and cognitive decline as well as the incidence of cognitive impairment over 12-month period. |
| n = 112 (70) |
n = 48 (30) |
| 3. Ávila-Funes et al. (2009) |
3 cities, France (n = 6030) |
74,1±5,2 |
longitudinal |
n = 3292 |
M/F |
Physical Frailty, mortality incidence, disability and cognitive profile |
Descriptive statistics and frequency; logistic regression; relative risk; analysis of variance. |
To determine whether adding cognitive impairment to frailty improves its predictive validity for adverse health outcomes. |
| n = 2871 (87) |
n = 421 (13) |
| 4. Gonzalez-Vaca et al. (2014) |
Albacete, Spain (n = 331) |
84,2±6,8 |
cross-sectional |
n = 324 |
M/F |
Physical Frailty, falls risk and incidence, disability and cognitive profile |
Descriptive statistics and frequency; logistic regression; relative risk; analysis of variance |
To determine the prevalence of FS in institutionalized elderly as well as the incidence of hospitalization, falls and disabilities |
|
n = 223 (68) |
| 5. Han et al. (2014) |
25 cities, South Korea (n = 4294) |
68,1±5,4 |
cross-sectional |
n = 1554 |
M |
Physical Frailty and cognitive abilities |
Descriptive statistics and frequency; logistic and linear regression, relative risk; analysis of variance |
To analyse Association between frailty and cognitive disorder in community people. |
|
n = 375 (25) |
| 5. Han et al. (2014) |
25 cities, South Korea (n = 4294) |
64,8±3,72 |
cross-sectional |
n = 3501 |
F |
Physical Frailty and cognitive abilities. |
Descriptive statistics and frequency; logistic and linear regression, relative risk; analysis of variance |
To analyse association between frailty and cognitive disorder |
| n = 2894 (83) |
n = 607 (17) |
| 6. Jacobs et al. (2011) |
Jerusalem – Israel (n = 840) |
87,5±5,4 |
Longitudinal |
n = 634 |
M |
Physical Frailty and cognitive status. |
Descriptive statistics and frequency; relative risk; comparison, adjustment measures, linear and logistic regression. |
To examine the association between frailty and cognitive impairment and the impact on 5-years survival |
| (n = 840) |
n = 164 (26) |
| 7. Kiely et al. (2008) |
Boston – United Estates (n = 765) |
78,1±5,4 |
Observacional |
n = 331 |
M/F |
Physical Frailty, falls, disability and hospitalization. |
Descriptive statistics and frequency; relative risk; analysis of variance, and linear regression |
To validate two established frailty indexes and compare their ability to predict adverse outcomes. |
| (n = 765) |
n = 76 (11) |
| 8. Robertson et al. (2014) |
Ireland (n = 4651) |
61,8±1,4 |
Longitudinal |
n = 1534 |
F |
Physical Frailty and cognitive abilities |
Descriptive statistics and frequency; relative risk; analysis of variance, adjustment measures, linear regression and relative risk |
To explore the relationship between cognitive function and physical frailty syndrome. |
| Ireland |
n = 90 (6) |
| 9. Samper-Tenent et al. (2008) |
Hispano-descents residents United States (n = 1370) |
75,2±5,8 |
Observacional |
n = 686 |
M/F |
Physical Frailty and cognitive profile |
Descriptive statistics and frequency; relative risk; analysis of variance, adjustment measures, linear regression |
Examine the association between frailty status and change in cognitive function over time |
| (n = 1370) |
n = 60 (9) |
| 10. Woo et al. (2015) |
West Region communities, China (n =816) |
74,4±1,4 |
Longitudinal |
n = 549 |
M/F |
Physical Frailty, sarcopenic and cognitive profile. |
Descriptive statistics and frequency; relative risk; analysis of variance, adjustment measures, regression linear |
To test several established frailty indexes and compare their ability to predict adverse outcomes (cognition and sarcopenic). |
| n = 427 (78) |
n = 122 (22) |
| 11. Al-Kuwaiti et al. (2015) |
United Arab Emirates (n = 160) |
65,6± 6,2 |
cross-sectional |
n = 128 |
M/F |
Descriptive statistics and frequency; relative risk; analysis of variance and logistic regression. |
Estatística descritiva e frequência; risco relativo; análise da variância e regressão logística |
Determinar a prevalência de SIF em uma amostra de idosos da comunidade |
| n = 53 (41) |
n = 75 (59) |
| 12. Macuco et al. (2012) |
Brazil, Sao Paulo (n = 384) |
72,3±5,8 |
cross-sectional |
n = 342 |
M/F |
Physical Frailty and cognitive profile |
Descriptive statistics and frequency; relative risk; analysis of variance, adjustment measures, logistic regression |
To examine the association between frailty and cognitive functioning |
| n = 311 (91) |
n = 31 (9) |
