scholarly journals Associations of Body Mass Index and Percentage Body Fat by Bioelectrical Impedance Analysis with Cardiovascular Risk Factors in Japanese Male Office Workers.

2000 ◽  
Vol 38 (3) ◽  
pp. 273-279 ◽  
Author(s):  
Noriyuki NAKANISHI ◽  
Koji NAKAMURA ◽  
Kenji SUZUKI ◽  
Yoshio MATSUO ◽  
Kozo TATARA
Keyword(s):  
Risk Factors ◽  
Body Mass Index ◽  
Cardiovascular Risk ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Office Workers ◽  
Percentage Body Fat ◽  
Japanese Male

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 A Median Analysis of Factors Influencing Body Fatness in Urban School-Age Children in Cameroon

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Loveline L. Niba ◽  
Paul B. Itor ◽  
Yemele K. Sibelle Aurelie ◽  
Foba M. Singam ◽  
Emmanuel A. Tange ◽  
...  
Keyword(s):  
Quantile Regression ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Public Health Problem ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
School Age Children ◽  
School Age ◽  
Behavioral Factors ◽  
Percentage Body Fat

Background. Childhood overweight/obesity is a fast growing public health problem in developing countries. The adverse health consequences of obesity have been attributed to higher body fat levels and this has drawn overwhelming attention towards more accurate assessment of body fat. The goal of this study is to evaluate the relationships between selected behavioral factors and percentage body fat (%BF) estimated using bioelectrical impedance analysis in school-age children. Methods. A cross-sectional analysis was carried out in randomly selected 6- to 11-year-old children (507 boys and 501 girls). Percentage body fat was assessed using bioelectrical impedance analysis. The behavioral factors were reported by parents using a structured questionnaire. Multiple quantile regression analysis was used to evaluate the relationship between the selected behavioral factors and %BF. Results. With quantile regression, the daily consumption of fruits and vegetables, daily breakfast consumption, and high physical activity (>4–7 times/week) were significantly (p<0.001) associated with a 4.95, 3.29, and 3.66 decrease in median %BF, respectively. Also, consumption of snacks (>3 times a day) (p<0.001), high sedentary lifestyle (>3–6 hours/day) (p<0.001), and motorization to school (p<0.005) significantly increased the median %BF by 3.69, 3.01, and 1.39, respectively. The largest changes in median %BF were observed in girls. Conclusions. Efforts are needed using longitudinal studies to clarify the effects of these behavioral factors on %BF in different regions and ethnic groups of Cameroon and also to assess whether any observed differences are of clinical relevance.

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).

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