scholarly journals Erratum to: Sarcopenia and sarcopenic obesity in comparison: prevalence, metabolic profile, and key differences. A cross-sectional study in Italian hospitalized elderly

2017 ◽  
Vol 29 (6) ◽  
pp. 1259-1259
Author(s):  
Simone Perna ◽  
Gabriella Peroni ◽  
Milena Anna Faliva ◽  
Arianna Bartolo ◽  
Maurizio Naso ◽  
...  
2014 ◽  
Vol 82 (5) ◽  
pp. 445-449 ◽  
Author(s):  
Setila Dalili ◽  
Hamid Mohammadi ◽  
Seyed Mahmood Rezvany ◽  
Arsalan Dadashi ◽  
Mohammad Hassan Novin ◽  
...  

2016 ◽  
Vol 134 (5) ◽  
pp. 393-399 ◽  
Author(s):  
Darlene Mara dos Santos Tavares ◽  
Camila Gigante Colamego ◽  
Maycon Sousa Pegorari ◽  
Pollyana Cristina dos Santos Ferreira ◽  
Flávia Aparecida Dias ◽  
...  

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.


2021 ◽  
Author(s):  
Fuyuko Takahashi ◽  
Yoshitaka Hashimoto ◽  
Ayumi Kaji ◽  
Ryosuke Sakai ◽  
Takuro Okamura ◽  
...  

2018 ◽  
Vol 45 (4) ◽  
pp. 573-578 ◽  
Author(s):  
Michiyo TAKAYAMA ◽  
Koichiro AZUMA ◽  
Ryoko SHIMIZU-HIROTA ◽  
Kanako MAKINO ◽  
Takashi SEINO ◽  
...  

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