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

• Main Authors: Larissa Barradas Calado, Eduardo Ferriolli, Júlio César Moriguti, Edson Zangiacomi Martinez, Nereida Kilza da Costa Lima
• Format: Article
• Language: English
• Published: Associação Paulista de Medicina
• Series: São Paulo Medical Journal
• Subjects: Frail elderly; Socioeconomic factors; Morbidity; Cross-sectional studies; Urban population
• Online Access: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-31802016005008101&lng=en&tlng=en

ABSTRACT: 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.