Frailty syndrome in an independent urban population in Brazil (FIBRA study): a cross-sectional populational study.

Autor:	Calado LB; MD, MSc. Student in the Postgraduate Program on Internal Medicine, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil., Ferriolli E; MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil., Moriguti JC; MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil., Martinez EZ; MD, PhD. Associate Professor, Department of Social Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil., Lima NK; MD, PhD. Associate Professor, Division of General Internal Medicine and Geriatrics, Department of Internal Medicine, Faculdade de Medicina de Ribeirão Preto (FMRP), Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
Jazyk:	angličtina
Zdroj:	Sao Paulo medical journal = Revista paulista de medicina [Sao Paulo Med J] 2016 Sep 19, pp. 0. Date of Electronic Publication: 2016 Sep 19.
DOI:	10.1590/1516-3180.2016.0078180516
Abstrakt:	Context and Objective:: Frailty is a multifactorial syndrome. The aim of this study was to determine the prevalence and characteristics of frailty syndrome in an elderly urban population. Design and Setting:: Cross-sectional study carried out at the homes of a randomized sample representing the independent elderly individuals of Ribeirão Preto, Brazil. Methods:: Sociodemographic characteristics, clinical data and criteria of the frailty phenotype were obtained at the subjects' homes; 385 individuals were evaluated. Frailty was defined based on detection of weight loss, exhaustion, weakness, slowness and low physical activity level. Individuals with three or more of these characteristics were classified as frail and those with one or two as pre-frail. Specific cutoff points for weakness, slowness and low physical activity level were calculated. Results:: The participants' mean age was 73.9 ± 6.5 years, and 64.7% were women. 12.5% had lost weight over the last year; 20.5% showed exhaustion, 17.1% slowness, 24.4% low physical activity level and 20.5% weakness. 9.1% were considered frail and 49.6% pre-frail. Frail subjects were older, attended more medical visits, had a higher chance of hospitalization within the last 12 months and had more cerebrovascular events, diabetes, neoplasms, osteoporosis and urinary and fecal incontinence. Conclusion:: In this independent elderly population, there were numerous frail and pre-frail individuals. Frailty syndrome was associated with high morbidity. Cutoff points for weakness, slowness and low physical activity level should be adjusted for the population under study. It is essential to identify frail and pre-frail older individuals for appropriate interventions.
Databáze:	MEDLINE
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