scholarly journals Correlation Between Bioelectrical Impedance Analysis-Measured Body Fat, Body Mass Index and Waist Circumference with Cardiovascular Risk Factors in Acute Coronary Syndrome Patients

2021 ◽  
Vol 2 (2) ◽  
pp. 50
Author(s):  
Imam Mahbub Zam Zami ◽  
Budi Susetyo Pikir
Keyword(s):  
Risk Factors ◽  
Blood Pressure ◽  
Body Mass Index ◽  
Acute Coronary Syndrome ◽  
Total Cholesterol ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Coronary Syndrome

Estimation of fat using bioelectrical impedance analysis (BIA) is thought to be a more predictive measure of cardiovascular (CV) risk assessment than body mass index (BMI) or waist circumference (WC). Percent body fat as measured using BIA (BIA-BF%) is independently associated with future cardiovascular events namely acute myocardial infarction, ischemic heart disease. This study is conducted to determine the correlation between body fat which consists of BIA-BF%, percentage of subcutaneous adipose tissue (SAT) and visceral fat level (Visceral Adipose Tissue/VAT) measured using BIA device, BMI and WC with CV risk factors (blood pressure, blood glucose level, LDL, HDL, TG, total cholesterol, HbA1c and serum fibrinogen) in patients with acute coronary syndrome (ACS). Material and Methods : This study used a cross-sectional correlation analysis. Sample was 70 ACS patients that match with inclusion criteria. Results : We found significant correlations between BIA-BF% with diastolic blood pressure, TG, and total cholesterol (r = 0.246, r = 0.250, r = 0.348 respectively; p <0.05). There was a significant correlation between VAT with diastolic blood pressure, LDL, TG, total cholesterol, HbA1c, and fibrinogen (r = 0.299, r = 0.306, r = 0.278, r = 0.265, r = 0.292, r = 0.330 respectively, p <0.05). There was a significant correlation between the percentage SAT and HDL levels (r = 0.318; p <0.05). We found no correlation between BMI and WC with blood pressure, LDL, HDL, TG, blood glucose, HbA1c and fibrinogen levels in ACS patients. Conclusion: VAT and BIA-BF% correlate with several cardiovascular risk factors better than BMI and WC. Body fat examination using BIA may be done to manage risk factors in ACS patients.

scholarly journals Blood pressure and lipid profile in young women: the role of anthropometric measurement

2014 ◽  
Vol 28 (4) ◽  
pp. 553-560 ◽  
Author(s):  
Marcelo Custódio Rubira ◽  
Ana Paula Fernandes de Angelis Rubira ◽  
Lucas De Angelis Rubira ◽  
Milton Carlos Martins Lima ◽  
Roberto Jorge da Silva Franco ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Anthropometric Measurement ◽  
Normal Body Mass Index ◽  
Fat Percentage ◽  
Mortality And Morbidity

Body composition has fundamental importance in the quality of life and is a powerful predictor of mortality and morbidity in humans. The identification and monitoring of the amount of body fat have been receiving special attention in aspects related to health promotion, not just for its actions in the prevention and in the control of cardiovascular diseases but also for their induction and association with risk factors, especially in the plasmatic lipid levels and arterial pressure. It was investigated the relationship between body mass index (BMI) and body fat percentage (%BF) by bioelectrical impedance analysis (BIA) with the blood pressure levels (systolic and diastolic) and serum lipids (TC, HDL-c, LDL-c, VLDL-c, TG). In a group of fifty seven women (aged 18 to 26 years old ), obesity was detected in 5 and 19 women by BMI (≥ 30 kg/m2) and %BF (≥ 30%), respectively. BMI and % BF were positively correlated with blood pressure (systolic and diastolic), and highly significant in the obese group by %BF. Moreover, BMI and % BF were significantly correlated with all lipids and lipoprotein fractions VLDL-c and triglyceride, respectively. These results suggest that %BF is a good indicator of “occult obesity” in subjects with normal body mass index. The associated use of BMI and %BF to better evaluate obesity may improve the study of blood pressure levels and serum lipid changes that are commonly associated with obesity.

scholarly journals A Pilot Study Examining Body Composition Classification Differences Between Body Mass Index and Bioelectrical Impedance Analysis in Children With High Levels of Physical Activity

2021 ◽  
Vol 9 ◽  
Author(s):  
David J. Farbo ◽  
Deborah J. Rhea
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
Pilot Study ◽  
Body Mass ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Significant Difference

Background: Body mass index (BMI) is frequently labeled as “flawed” in assessing obesity since it cannot differentiate between muscle and fat leading to misclassifications of healthy individuals. Bioelectrical impedance analysis (BIA) may be a more accurate indicator of obesity since it can distinguish the difference between muscle and fat in children. This pilot study investigated discrepancies between BMI and BIA body composition classifications in children with high levels of physical activity.Methods: Participants were selected from three elementary schools (N = 380, K = 76, 1st = 64, 2nd = 62, 3rd = 61, 4th = 83, and 5th = 34) receiving 60 min of outdoor, unstructured play daily. BIA scales were used to collect each child's body fat percentage and BMI score, then those numbers were categorized by BIA and BMI normative values as either underweight, healthy, overweight, or obese.Results: Overall, 26% of the students were classified differently when using the normative classifications for BMI and BIA, with the largest discrepancy found in the overweight category at 38%. Similar inconsistencies were found when students were divided as younger (42%) vs older students (36%), and males (40%) vs. females (35%).Conclusions: This pilot study demonstrated that there is a significant difference in how BMI and BIA discriminate between the different body composition categories. BIA consistently shows to be a more accurate tool in assessing obesity rates in children since it directly measures body fat.

scholarly journals THE RELATIONSHIP BETWEEN BODY MASS INDEX AND BODY FAT PERCENTAGE, ESTIMATED BY BIOELECTRICAL IMPEDANCE IN A GROUP OF ROMANIAN FEMALE STUDENTS

2021 ◽  
Author(s):  
Diana Vrabie ◽  
George-Sebastian Iacob
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Overweight And Obesity ◽  
Female Students ◽  
Body Fat Percentage ◽  
Fat Percentage

Bioelectrical impedance analysis (BIA) also called bioelectrical impedance (BEI) is a non-invasive method based on the electric conductibility properties of tissues and is a commonly used technique for estimating body composition.Percentage of body fat is strongly associated with the risk of several chronic diseases but its accurate measurement is difficult. Body Mass Index is a useful population-level measure of overweight and obesity. It is used for all categories of people, male or female.The main objective of this study was to determine if there is a relationship between BMI and body fat percentage (BF%) in a group of Romanian female students. This relationship has been studiedin various ethnic groups before. To conduct the study, we examined 29 young females (aged 20-36 years old) estimating BF% from bioelectrical impedance analysis using Tanita Body Fat Monitor Scale UM-076.In this research group, the BMI and BodyFat dependent variables have a moderate to strong correlation (r = .839; 0.75 < r < 1), the favorable score for the first measurement being a statistically relevant benchmark for the second (sig < 0.05).

scholarly journals Body Fat Distribution Measured by Bioelectrical Impedance Analysis is Associated with Occurrence of Colorectal Adenoma: A Case Control Study

2020 ◽  
Author(s):  
Zhong-Hui Liu ◽  
Gui-Xi Zhang ◽  
Hao Zhang ◽  
Li Jiang ◽  
Yang Deng ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Risk Factor ◽  
Waist Circumference ◽  
Body Fat ◽  
Colorectal Adenoma ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Fat Distribution ◽  
Body Fat Mass

Abstract ObjectivesSome studies have reported that visceral fat volume measured by computed tomography (CT) was a risk factor for colorectal adenoma (CRA). However, CT is not a good method for risk stratification in clinical use for its radiation. Bioelectrical impedance analysis (BIA) is a non-invasive method for assessment of body composition. The aim of current study was to evaluate the association of body fat measured by BIA with occurrence of CRA.Patients and methods:A total of 410 participants who had underwent screening colonoscopy from Jul 2017 to Dec 2019 in our center were recruited, including 230 with adenoma and 180 without adenoma detected. Body fat of participants were measured by BIA, including body fat mass (BFM), body fat percent (BFP), and waist-to-hip fat ratio. Parameters of metabolic syndrome (MetS) were also measured, including waist circumference, blood pressure, fasting blood glucose, blood level of triglyceride, cholesterol and high-density lipoprotein.ResultsAccording to univariate analysis, age, male proportion, BMI, waist circumference, body fat mass, waist-to-hip fat ratio, blood pressure, and FBG were higher in adenoma group than adenoma-free group, p < 0.05. On multivariate analysis (adjusted for age, sex, smoking, drinking, family history of CRC, etc.), High waist-to-hip fat ratio measured by BIA was associated with occurrence of CRA (compared with normal waist-to-hip fat ratio, OR 1.84; 95% CI, 1.09–3.09; p = 0.02). High waist circumference, as a component of MetS, was also independently associated with CRA (OR 1.90; 95% CI 1.17–3.08, p = 0.01).ConclusionBody fat distribution measured by BIA is associated with occurrence of CRA. Central obesity is a risk factor for CRA.Trial registration: This study was prospectively registered in Chinese Clinical Trials Registry (www.chictr.org.cn; registry number: ChiCTR-RRC-17010862).

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