Darlene Mara Dos Santos Tavares, Camila Gigante Colamego, Maycon Sousa Pegorari, Pollyana Cristina Dos Santos Ferreira, Flávia Aparecida Dias, Alisson Fernandes Bolina
{"title":"Cardiovascular risk factors associated with frailty syndrome among hospitalized elderly people: a cross-sectional study.","authors":"Darlene Mara Dos Santos Tavares, Camila Gigante Colamego, Maycon Sousa Pegorari, Pollyana Cristina Dos Santos Ferreira, Flávia Aparecida Dias, Alisson Fernandes Bolina","doi":"10.1590/1516-3180.2016.0028010616","DOIUrl":null,"url":null,"abstract":"<p><strong>Context and objective:: </strong>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.</p><p><strong>Design and setting:: </strong>Observational cross-sectional study in a public teaching hospital.</p><p><strong>Methods:: </strong>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).</p><p><strong>Results:: </strong>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).</p><p><strong>Conclusion:: </strong>States of frailty were highly present in the hospital environment. The pre-frail condition was inversely associated with overweight.</p>","PeriodicalId":38962,"journal":{"name":"Interdisciplinary Journal of Information, Knowledge, and Management","volume":"1 1","pages":"393-399"},"PeriodicalIF":0.0000,"publicationDate":"2016-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10871849/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary Journal of Information, Knowledge, and Management","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1590/1516-3180.2016.0028010616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
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.