Association between self-reported health status and frailty in mexican community-dwelling elderly

2013 ◽  
Vol 4 ◽  
pp. S71
Author(s):  
C. Bernal-López ◽  
J.A. Ávila-Funes
2015 ◽  
Vol 57 ◽  
pp. 62 ◽  
Author(s):  
José Alberto Ávila Funes ◽  
Sara G Aguilar-Navarro ◽  
Hélène Amieva ◽  
Luis Miguel Gutiérrez-Robledo

Objective. To describe the characteristics and prognosisof subjects classified as frail in a large sample of Mexican community-dwelling elderly. Materials and methods. An eleven-year longitudinal study of 5 644 old adults participating in the Mexican Health and Aging Study (MHAS). Frailty was defined by meeting at least three of the following criteria: weight loss, weakness, exhaustion, slow walking speed and low physical activity. The main outcomes were incident disability and death. Multiple covariates were used to test the prognostic value of frailty. Results. Thirty-seven percent of participants (n = 2 102) met the frailty criteria. Frail participants were significantly older, female, less educated, with more chronic disease, lower income, and poorer self-reported health status, in comparison with their non-frail counterparts. Frailty was a predictor both for disability activities of daily living and for mortality. Conclusion. After a follow-up of more than ten years, the phenotype of frailty was a predictor for adverse health-related outcomes, including ADL disability and death.


2014 ◽  
pp. 1-5
Author(s):  
A.M. GONZÁLEZ-PICHARDO ◽  
A.P. NAVARRETE-REYES ◽  
H. ADAME-ENCARNACIÓN ◽  
S. AGUILAR-NAVARRO ◽  
J.M.A. GARCÍA-LARA ◽  
...  

Background:The phenotype of frailty proposed by Fried et al. has been related with increasedvulnerability for the development of adverse health-related outcomes. However, this phenotype is not often usedin daily clinical practice. On the other hand, poor self-reported health status (SRHS) has been associated withsimilar adverse health-related outcomes. Objectives:To determine the association between poor SRHS andfrailty. Design, setting and participants: Cross-sectional study of 927 community-dwelling elderly aged 70 andolder, participating in the Mexican Study of Nutritional and Psychosocial Markers of Frailty. Measurements:SRHS was established by the question “How do you rate your health status in general?” Frailty was definedaccording to the phenotype proposed by Fried et al. The association between SRHS and frailty was determinedthrough the construction of multinomial logistic regression models. Final analyses were adjusted by socio-demographic and health covariates, including depressive symptoms. Also, agreement between SRHS and thephenotype of frailty was explored. Results:Prevalence of frailty was 14.1%, and 4.4% of participants rated theirhealth status as “poor”. The unadjusted regression analyses demonstrated that fair and poor SRHS weresignificantly associated with prefrail and frail status. After adjustment for multiple covariates, the associationremained statistically significant. However, in the final adjustment for depressive symptoms, only the associationbetween poor SRHS and frail status continued to be statistically significant. Fair agreement between poor SRHSand frail status was also found. Conclusion:Poor SRHS shares common correlates as well as health-relatedadverse outcomes with frailty syndrome, and remains associated with it even when possible confounders aretaken into account. Therefore, poor SRHS could be further explored as an option for frailty syndrome screening.


2013 ◽  
Vol 12 (2) ◽  
pp. 106-120 ◽  
Author(s):  
Chloe Morris ◽  
Kenneth James ◽  
Desmale Holder-Nevins ◽  
Denise Eldemire-Shearer

2001 ◽  
Vol 7 (2) ◽  
pp. 85-98 ◽  
Author(s):  
Evelyn P. Whitlock

We investigated HMO members' use of complementary and alternative medicine (CAM) providers outside the HMO in 1995-1996. A random 2% survey of Kaiser Permanente Northwest members addressed HMO service satisfaction, self-reported health status and behaviors, and HMO utilization. Among respondents, 15.7% (n = 380) used CAM providers (chiropractors, naturopaths, acupuncturists, others) in the prior 12 months, while 35% were ever users. Multivariate analysis found that those more likely to consult CAM providers were females, more educated, and more dissatisfied with the HMO. These results suggest that HMOs may wish to focus efforts to improve patient satisfaction among CAM service users.


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