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1.
J Nutr Health Aging ; 14(4): 278-81, 2010 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-20305994

RESUMEN

OBJECTIVES: Uncertainty about the definition of frailty is reflected by the development of many ways to identify frail people. We aimed to compare the validity of two frailty measures in participants of the Conselice Study of Brain Aging. DESIGN: Prospective population-based study with 4 year follow up. PARTICIPANTS/SETTING: 1,016 subjects aged 65 and over in a rural Italian population. METHODS: For each participant, a Frailty Index (FI) and a Conselice Study of Brain Aging Score (CSBAS) were determined. The FI was created from 43 deficits according to a standardized methodology; 7 variables derived from a previously validated Easy Prognostic Score comprised the CSBAS. RESULTS: The FI had characteristic properties described in other population samples, with a gamma distribution, a 99% limit of about 0.64 and higher values in women than men. CSBAS and FI were strongly correlated with each other (r = 0.72) and both correlated with age (r = 0.32, r = 0.27, respectively). Each was independently predictive of death in a multivariate model, with greater specificity and sensitivity than age alone. CONCLUSIONS: Frailty can be measured by different tools and facilitates a more direct quantification of individual vulnerability than chronological age alone. Though the Frailty Index and the Conselice Study of Brain Aging Score are underpinned by different rationales, clinical utility will continue to motivate their development.


Asunto(s)
Evaluación de la Discapacidad , Anciano Frágil , Evaluación Geriátrica/métodos , Mortalidad , Factores de Edad , Anciano , Anciano de 80 o más Años , Envejecimiento , Encéfalo , Femenino , Humanos , Italia/epidemiología , Masculino , Pronóstico , Modelos de Riesgos Proporcionales , Estudios Prospectivos , Sensibilidad y Especificidad , Factores Sexuales
2.
J Nutr Health Aging ; 13(5): 468-72, 2009 May.
Artículo en Inglés | MEDLINE | ID: mdl-19390755

RESUMEN

OBJECTIVES: Smoking has adverse effects on a variety of organ systems but little is known about the relationship between smoking and frailty. We aimed to investigate differences in health status between smoking and non smoking older adults. DESIGN AND SETTING: The Canadian Study of Health and Aging, a nationally representative cohort study. PARTICIPANTS: Nine thousand and eight community-dwelling men and women age 65 years and over at baseline. MEASUREMENTS: Smoking status was determined using a Self-Assessed Risk Factor Questionnaire. Comparisons were made between never smokers, light smokers and heavy smokers with heavy smokers defined as those who smoked >or= 1 pack per day for 20 years or more. A frailty index (FI) generated from 40 self-reported health deficits was also modified to exclude 5 variables that could be directly attributed to smoking (e.g. cough). Decedent information was collected over 10 years. RESULTS: Average FI values increased exponentially with age. For both men and women, heavy smokers were the most frail, light smokers had intermediate frailty status and never smokers were fittest. Modification of the FI did not impact these differences. Heavy smokers had significantly worse mortality than non smokers and higher rates of death in smokers persisted in the oldest old. 120 month survival curves, grouped for age, sex and smoking status showed that male smokers > 75 years had the highest mortality rates. CONCLUSIONS: Smoking causes poorer health status at older ages which can be captured by the frailty index. Higher rates of death in smokers persist in the oldest old, with no emergence of "survivors" with fitness or longevity advantages.


Asunto(s)
Envejecimiento , Anciano Frágil/estadística & datos numéricos , Evaluación Geriátrica/estadística & datos numéricos , Estado de Salud , Fumar/epidemiología , Análisis de Supervivencia , Actividades Cotidianas , Distribución por Edad , Anciano , Anciano de 80 o más Años , Canadá/epidemiología , Estudios de Cohortes , Susceptibilidad a Enfermedades/etiología , Femenino , Evaluación Geriátrica/métodos , Humanos , Masculino , Factores de Riesgo , Autorrevelación , Distribución por Sexo , Fumar/efectos adversos , Encuestas y Cuestionarios
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