title: Cardiovascular risk factors associated with frailty syndrome among hospitalized elderly people: a cross-sectional study.
abstract: 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.
  Observational cross-sectional study in a public teaching hospital.
  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).
  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).
  States of frailty were highly present in the hospital environment. The pre-frail condition was inversely associated with overweight.
authors.affiliation: RN, PhD. Associate Professor, Department of Nursing Education and Postgraduate Program on Community Health Nursing, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil.
authors.forename: Darlene Mara Dos Santos
authors.initials: DM
authors.lastname: Tavares
authors.affiliation: Undergraduate Student, Physiotherapy Course, Universidade Federal do Triangulo Mineiro (UFTM), Uberaba, MG, Brazil.
authors.forename: Camila Gigante
authors.initials: CG
authors.lastname: Colamego
authors.affiliation: MSc, PhD. Assistant Professor, Physiotherapy Course, Universidade Federal do Amapá (UNIFAP), Macapá, AP, Brazil.
authors.forename: Maycon Sousa
authors.initials: MS
authors.lastname: Pegorari
authors.affiliation: RN, MSc. Doctoral Student, Postgraduate Course on Healthcare, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil.
authors.forename: Pollyana Cristina Dos Santos
authors.initials: PC
authors.lastname: Ferreira
authors.affiliation: RN, MSc. Doctoral Student, Postgraduate Course on Healthcare, Universidade Federal do Triângulo Mineiro (UFTM), Uberaba, MG, Brazil.
authors.forename: Flávia Aparecida
authors.initials: FA
authors.lastname: Dias
authors.affiliation: RN, MSc. Doctoral student, Ribeirão Preto School of Nursing, Universidade de São Paulo (USP), Ribeirão Preto, SP, Brazil.
authors.forename: Alisson Fernandes
authors.initials: AF
authors.lastname: Bolina
mesh_terms: D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D001786:Blood Glucose / Q000032:analysis; D015992:Body Mass Index; D002318:Cardiovascular Diseases / Q000209:etiology*; D002784:Cholesterol / Q000097:blood; D003430:Cross-Sectional Studies; D050171:Dyslipidemias / Q000150:complications; D005260:Female; D016330:Frail Elderly / Q000706:statistics & numerical data*; D015577:Geriatric Assessment; D006760:Hospitalization; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D013577:Syndrome
chemical_list: D001786:Blood Glucose; D002784:Cholesterol