ABSTRACT
Objective: To compare body fat-muscle and visceral obesity indices that can be measured with thorax computed tomography (CT) between reverse transcriptase-polymerase chain reaction (RT-PCR) positive and negative patients. Material(s) and Method(s): This ret-rospective, comparative study included 141 PCR (+) and 150 PCR (-) patients who applied to our hospital with flu-like symptoms without having the comorbid diseases and undergone thoracic CT between April 1, 2020-July 1, 2020. For the each patient, the ratio of thoracic subcutaneous adipose tissue thickness to pectoralis major muscle thickness (TSAT/PMJ), epicardial adipose tissue thickness (EAT), liver density (LD), abdominal subcutaneous adipose tissue thickness to psoas major muscle thickness ratio (ASAT/ PSM), subcutaneous abdominal adipose tissue thickness to erector spinae muscle thickness ratio (ASAT/ESM) was measured. The comparison was made between the subgroups in terms of age, gender, and measured parameters. Result(s): Statistically significant difference was found between PCR (+) and (-) individuals in terms of EAT mean (p<0.05). TSAT/PMJ, ASAT/PSM and ASAT/ESM ratios were higher in women (p <0.05). The mean EAT in men was increased in the PCR (+) group (p<0.05). In PCR (+) group, LD decreased, EAT increased with increasing age (p<0.05). PCR (+) and PCR (-) groups didn't show significant difference (p>0.05) in terms of TSAT/PMJ, ASAT/PSM, LD, ASAT/ESM. Conclusion(s): Higher EAT values can increase the risk of getting coronavirus disease-2019 (COVID-19) infection. Peripheral fat-muscle indices don't increase the risk of contracting COVID-19 infection.Copyright © 2023 by Turkiye Klinikleri.
ABSTRACT
Metabolic syndrome is not a disease but is a set of several disorders and causes an increased risk of cardiovascular disease and diabetes mellitus complications. Several studies have shown that non-invasive approaches such as anthropometric measurements can be used for the early detection of metabolic syndrome. This study aimed to analyse the anthropometric indicators related to metabolic syndrome in female college students. The design of this research was cross sectional, with the number of subjects involved were as many as 163 female college students aged 19 to 24 years old. Purposive sampling was used in the sampling of this research. The independent variables in this study were the Waist-to-Height Ratio (WHtR), Waist-Hip Ratio (WHR), Body Mass Index (BMI), Sagittal Abdominal Diameter (SAD), and hip circumference. The dependent variable in this study is the metabolic syndrome component that has been converted into a metabolic syndrome score (cMetS). The analysis results showed that all anthropometric indicators, namely WHtR, BMI, SAD, waist circumference, hip circumference and WHR have a strong positive relationship with the metabolic syndrome score (p<0.001). BMI was the anthropometric indicator that is most associated with the metabolic profiles, such as systolic blood pressure (p<0.001), blood sugar (p<0.05), and HDL (p<0.001). Waist circumference was the anthropometric indicator that is most associated with triglycerides and metabolic syndrome score (p<0.001). Metabolic syndrome in female college students can be identified using anthropometric measurements, one of which is BMI and WHR which are very easy to measure and efficient. BMI and WHR have the strongest relationship and can be used to detect early risk of metabolic syndrome in female college students.