• TavaresDarlene Mara Dos SantosDMRN, PhD. Associate Professor, Department of Nursing Education and Postgraduate Program on Community Health Nursing, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil., Camila Gigante Colamego, Maycon Sousa Pegorari, FerreiraPollyana Cristina Dos SantosPCRN, MSc. Doctoral Student, Postgraduate Course on Healthcare, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil., Flávia Aparecida Dias, and Alisson Fernandes Bolina.
• RN, PhD. Associate Professor, Department of Nursing Education and Postgraduate Program on Community Health Nursing, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil.
• Sao Paulo Med J. 2016 Sep 1; 134 (5): 393399393-399.

Context And Objective:Identification of frailty syndrome and its relationship with cardiovascular risk factors among hospitalized elderly people is important, since this may contribute towards broadening of knowledge regarding this association within tertiary-level services. This study aimed to evaluate the cardiovascular risk factors associated with frailty syndrome among hospitalized elderly people.Design And Setting:Observational cross-sectional study in a public teaching hospital.Methods:The participants were elderly patients admitted to clinical and surgical wards. The cardiovascular risk factors assessed were: body mass index (BMI), waist circumference, systemic arterial hypertension (SAH), blood glucose, total cholesterol, high-density lipoproteins (HDL), low-density lipoproteins (LDL) and triglycerides. To identify frailty syndrome, the method proposed by Fried was used. The data were analyzed through descriptive statistics, chi-square test (P < 0.10) and multinomial logistic regression (P < 0.05).Results:A total of 205 individuals were evaluated. It was found that 26.3% (n = 54) of the elderly people were frail, 51.7% (n = 106) were pre-frail and 22% (n = 45) were non-frail. The preliminary bivariate analysis (P < 0.10) for the regression model showed that frailty was associated with BMI (P = 0.016), LDL cholesterol (P = 0.028) and triglycerides (P = 0.093). However, in the final multivariate model, only overweight remained associated with the pre-frail condition (odds ratio, OR = 0.44; 95% confidence interval, CI = 0.20-0.98; P = 0.045).Conclusion:States of frailty were highly present in the hospital environment. The pre-frail condition was inversely associated with overweight.

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