scholarly journals Cross-sectional association between body fat percentage and arteriosclerosis assessed by Cardio-Ankle Vascular Index in a Chinese population: a retrospective observational study

BMJ Open ◽  
2022 ◽  
Vol 12 (1) ◽  
pp. e056281
Author(s):  
Linfeng He ◽  
Lijuan Bai ◽  
Lihua Liu ◽  
Yun Liu ◽  
Ruiyun Wang ◽  
...  
Keyword(s):  
Observational Study ◽  
Body Fat ◽  
Linear Regression Analysis ◽  
The Body ◽  
Retrospective Observational Study ◽  
Categorical Variables ◽  
Trend Test ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Generalised Additive Model

ObjectiveTo evaluate arteriosclerosis using Cardio-Ankle Vascular Index (CAVI) and to explore the relation between the body fat percentage (BFP) and CAVI.DesignA retrospective observational study.Setting and participantsA total of 1152 patients admitted to a geriatric unit and general practice at a mega hospital in Wuhan, China, from November 2018 to November 2019 were included in this study.Primary outcomeAssociation between BFP and CAVI.ResultsMultiple linear regression analysis showed that BFP was positively correlated with CAVI after correction for potential confounding variables (β=0.03; 95% CI: 0.01 to 0.05); this association persisted after BFP was treated by quartile categorical variables and the trend test was statistically significant (p for trend=0.002). Meanwhile, the generalised additive model showed a non-linear association between BFP and CAVI. When BFP<20.6%, BFP is not associated with CAVI for (β=−0.02; 95% CI: −0.06 to 0.03), but when BFP≥20.6%, there is a linear positive association between BFP and CAVI (β=0.05; 95% CI: 0.02 to 0.07). Subgroup analysis showed that there was an interaction between BFP and CAVI in the age stratification (p interaction=0.038).ConclusionBFP was non-linearly correlated with CAVI, with a 0.05 increase in CAVI for every 1% increase in BFP when BFP≥20.6% and a 0.03 increase in CAVI in those >65 years of age.

EFFECT OF SPORTS MEDICINE ON REDUCING BODY FAT PERCENTAGE AND LEAN BODY MASS

2021 ◽  
Vol 27 (7) ◽  
pp. 714-717
Author(s):  
Chunyan Fan
Keyword(s):  
Aerobic Exercise ◽  
Body Fat ◽  
Exercise Performance ◽  
Performance Indicators ◽  
Sports Medicine ◽  
The Body ◽  
Anaerobic Exercise ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Level Of Evidence

ABSTRACT Introduction: Aerobic exercise has begun to be widely recognized as a reasonable means of preventing fat and losing weight. Scholars have confirmed that sports can help the human body lose weight and lose fat. Objective: This article measures the exercise performance indicators of subjects in different body fat percentage groups and studies the relationship between body fat percentage and exercise performance indicators. Methods: The study uses experimental methods to determine the percentage of body fat of the subjects. After physical exercise and aerobic exercise, the volunteers were tested for aerobic capacity indicators. Results: The body fat percentage of physically inactive persons was negatively correlated with aerobic and anaerobic exercise capacity indexes. Conclusion: The mechanism of aerobic exercise in weight loss treatment has the effect of promoting lipolysis and regulating blood lipid metabolism. At the same time, it has a significant influence on the number and activity of fat cells. Level of evidence II; Therapeutic studies - investigation of treatment results.

scholarly journals Body Fat Percentage Prediction Using Intelligent Hybrid Approaches

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuehjen E. Shao
Keyword(s):  
Body Fat ◽  
Hybrid Models ◽  
The Body ◽  
Single Stage ◽  
Support Vector ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Explanatory Variables ◽  
Forecasting Models ◽  
Hybrid Approaches

Excess of body fat often leads to obesity. Obesity is typically associated with serious medical diseases, such as cancer, heart disease, and diabetes. Accordingly, knowing the body fat is an extremely important issue since it affects everyone’s health. Although there are several ways to measure the body fat percentage (BFP), the accurate methods are often associated with hassle and/or high costs. Traditional single-stage approaches may use certain body measurements or explanatory variables to predict the BFP. Diverging from existing approaches, this study proposes new intelligent hybrid approaches to obtain fewer explanatory variables, and the proposed forecasting models are able to effectively predict the BFP. The proposed hybrid models consist of multiple regression (MR), artificial neural network (ANN), multivariate adaptive regression splines (MARS), and support vector regression (SVR) techniques. The first stage of the modeling includes the use of MR and MARS to obtain fewer but more important sets of explanatory variables. In the second stage, the remaining important variables are served as inputs for the other forecasting methods. A real dataset was used to demonstrate the development of the proposed hybrid models. The prediction results revealed that the proposed hybrid schemes outperformed the typical, single-stage forecasting models.

scholarly journals Regulation of the Body Fat Percentage in Developmental-Stage Rats by Methylxanthine Derivatives in a High-Fat Diet

2006 ◽  
Vol 70 (5) ◽  
pp. 1134-1139 ◽  
Author(s):  
Hiroko INOUE ◽  
Kazuo KOBAYASHI-HATTORI ◽  
Yumi HORIUCHI ◽  
Yuichi OISHI ◽  
Souichi ARAI ◽  
...  
Keyword(s):  
Developmental Stage ◽  
Body Fat ◽  
High Fat Diet ◽  
The Body ◽  
Body Fat Percentage ◽  
High Fat ◽  
Fat Percentage

scholarly journals The Relationship Between Body Mass Index with Body Fat Percentage of Participants EXPO 2021 Universitas Teuku Umar

2021 ◽  
Vol 2 (1) ◽  
pp. 19
Author(s):  
Suci Eka Putri ◽  
Adelina Irmayani Lubis
Keyword(s):  
Body Mass Index ◽  
Body Weight ◽  
Nutritional Status ◽  
Body Mass ◽  
Body Fat ◽  
Body Height ◽  
The Body ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
The Relationship

Body mass index (BMI) is to monitor nutritional status adults, especially those related to deficiency and overweight. Body fat percentage can describe the risk of degenerative diseases.This study was conducted to measure the relationship between BMI and body fat percentage. Methods An analytical study was conducted to 41 male and 51 female participant from Universitas Teuku Umar. The body weight was measured using scales, whereas the body height was measured using microtoise. The body fat percentage was measured using Karada Scan. The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from 16-18th February 2021 and analyzed by Pearson’s correlation test. The results showed BMI underweight, normal, and overweight were 10,9, 57,6, and 31,5. High body fat percentage in men were 75,6% and in women were 35,5%. There is a relationship between the nutritional status of the women group and the body fat percentage with p-value is obtained = 0.021. Furthermore, for men, there is no relationship between nutritional status in the men group and the body fat percentage. There is a relationship between nutritional status and body fat percentage in women. Among this population, BMI can still be used to determine body fat percentage

scholarly journals Agnizing Sarcopenia and Coherent Variable Optimization of Body Fat Percentage using Genetic Algorithms and Regression

2019 ◽  
Vol 9 (2) ◽  
pp. 1357-1360
Keyword(s):  
Body Fat ◽  
Impedance Analysis ◽  
The Body ◽  
Impedance Method ◽  
Body Fat Percentage ◽  
Electric Impedance ◽  
Fat Percentage ◽  
Institutional Ethics ◽  
And Gender ◽  
Madras Medical College

Obesity is a malady which poses wide threats across the world with its augmented inflation. A domineering determinant to most pandemic diseases in the human body is the agglomeration of body fat. Therefore, an apposite anatomization of body fat estimation for every individual is incumbent. The previous work aberrates and pioneered the implementation of attributes from the lipid profile and Bio-Electric Impedance Analysis (BIA) method of a person, from the conventional use of attributes such as BMI, age and gender to obtain the value of body fat percentage. But the proposed analysis meliorates the accuracy of body fat percentage and resuscitated the gamut of health gremlins it vanguards to. This paper also delineates the variable optimization using regression and genetic algorithm for the attributes incorporated to procure the body fat percentage. Thereby corroborating and revamping the veracity of the novel body fat percentage derived using lipids and the BIA method. The study has further helped in diagnosing a disease known as sarcopenia. The samples from the blood tests and Bio-Electric Impedance method have been procured from the Institute of Bio-Chemistry, after obtaining the consent from the Institutional Ethics Committee, Madras Medical College, Chennai. The simulations are carried out in MATLAB GUI and the results have been successfully obtained.

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