scholarly journals Do Hot Executive Functions Relate to BMI and Body Composition in School Age Children?

2021 ◽  
Vol 11 (6) ◽  
pp. 780
Author(s):  
Paula Szcześniewska ◽  
Tomasz Hanć ◽  
Ewa Bryl ◽  
Agata Dutkiewicz ◽  
Aneta R. Borkowska ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Decision Making ◽  
Body Composition ◽  
Executive Functions ◽  
Body Mass ◽  
Delay Of Gratification ◽  
The Body ◽  
School Age Children ◽  
Z Scores ◽  
The Relationship

Deficits of ‘hot’ executive functions (EFs) involving emotional and motivational processes are considered as a risk factor for excessive weight, but few studies have tested the relationship between hot EFs and body composition in children. The aim of the study was to assess the association of the ability to delay gratification and affective decision-making with the body mass index (BMI) and body composition in children with typical neurocognitive development. The sample consisted of 553 Polish children aged between 6–12 y. The delay of gratification task (DGT) was applied to assess the ability to delay gratification. The Hungry Donkey test (HDT) was applied to assess affective decision-making. The indicators of decision-making in the HDT were net score and learning rate. The relationships between hot EFs and BMI, fat mass index (FMI), lean body mass index (LBMI) were tested. The association of the z scores of BMI and FMI, overweight/obesity, and the ability to delay gratification was found insignificant after controlling cofounding factors. Most of the results on affective decision-making and z scores for BMI, FMI and LBMI were insignificant as well. The relationship between the ability to delay gratification, affective decision-making, and adiposity is not pronounced in typically developed children.

scholarly journals Design and Validation of the Equation for Correction of Body Mass Index

2021 ◽  
Vol 10 (3) ◽  
pp. 400-411
Author(s):  
Abbas Farjad Pezeshk ◽  
◽  
Nader Nokhodchi ◽  
Mohammad Yousefi ◽  
Saeed Ilbeigi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Multiple Regression ◽  
Correlation Coefficient ◽  
Body Mass ◽  
Body Fat ◽  
The Body ◽  
Spearman Correlation ◽  
Body Fat Percent ◽  
The Relationship

Background and Aims: The Body Mass Index (BMI) is considered one of the most common indexes for examining the health. The purpose of this study was the design and validation of the equations for the accuracy of BMI. Methods: In the current 419 athletic and non-athletic subjects participated in this study. Anthropometrical measurement was performed using International Standard for Anthropometry and Kinanthropometry (ISAK) protocol, and mesomorphic and endomorphic calculated based on the Heath-Carter methods. The Spearman correlation coefficient was used to determine the relationship between BMI and body fat percent, mesomorphic and endomorphic values. Multiple regressions were used to predict BMI. Results: There is a high correlation between BMI with mesomorphic and endomorphic values (P<0.01), but the correlation of BMI with mesomorphic in athletic men was higher than endomorphic (0.77 vs. 0.63). Multiple regression produces some equations for predicting mesomorphic and endomorphic, and bland Altman believes that all equations predict fatness. Conclusion: According to the results, the Equations proposed in this study could appropriately turn BMI to predict body composition so that this equation could determine higher BMI because of the higher muscular mass.

scholarly journals The Relationship between Physical Activity, Body Mass Index and Body Composition among Students at a Pre-University Centre in Malaysia

2020 ◽  
Vol 19 (2) ◽  
Author(s):  
You HW ◽  
Tan PL ◽  
Mat Ludin AF
Keyword(s):  
Physical Activity ◽  
Body Mass Index ◽  
Body Composition ◽  
University Students ◽  
Muscle Mass ◽  
Body Mass ◽  
Fat Mass ◽  
The Body ◽  
Study Results ◽  
The Relationship

INTRODUCTION: Physical activity is an essential element in our daily life that leads to long-term health benefits. Physical activity refers to movement of the body that requires energy. Body mass index (BMI) indicates a ratio of body weight to squared height, which is a useful health indicator. On the contrary, body composition describes the body by measuring percentages of fat and muscle in human bodies. MATERIALS AND METHODS: This cross-sectional study aimed to determine the relationship between physical activities, BMI and body composition among pre-university students from one of the universities in Selangor, Malaysia. Stratified random sampling was employed to recruit 70 pre-university students into this study. RESULTS: From the study, 50% of the respondents are categorized as minimally active. In addition, there is significant difference between the physical activity levels of male and female respondents. The relationship between physical activity and BMI indicates a very weak negative correlation. Similarly, the correlation between physical activity and fat mass is a weak negative relationship. Meanwhile, there is a weak positive correlation between physical activity and muscle mass. CONCLUSION: Therefore, it can be concluded that when physical activity increases, BMI and body fat mass will decrease, while muscle mass will increase. Moreover, it was shown that there was a significant relationship between physical activity and body composition. 

scholarly journals The Relationship Between Body Mass Index and Student Body Ability Index of Medical Faculty Jember University

2021 ◽  
Vol 7 (3) ◽  
pp. 147
Author(s):  
Adelia Handoko ◽  
Aris Prasetyo ◽  
Pipiet Wulandari ◽  
Kristianingrum Dian Sofiana ◽  
Jauhar Firdaus ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Physical Fitness ◽  
Body Mass ◽  
The Body ◽  
Step Test ◽  
P Value ◽  
Student Body ◽  
Cross Sectional ◽  
The Relationship

Technological advances in recent years have had an impact on people's lifestyles. Almost all activities in various sectors can be carried out and accessed via smartphones. This causes a decrease in physical activity which can lead to obesity. Obesity is an imbalance of energy entering the energy used in the body resulting in the accumulation of excess lipids which can interfere with the health condition of the body. Body composition is an important part of determining one's physical fitness. Body composition can be seen from a person's Body Mass Index (BMI). This type of research is analytic observational with cross sectional research design. The data used by researchers is secondary data in 2018. The sampling technique used is purposive sampling. The sample used in this study was 127 people, consisting of 47 men and 84 women. Data were analyzed using SPSS version 26 through the Spearman Analysis Test with the results of p = 0.000 (p-value <0.05) for the relationship between BMI and IKB in the slow way and p = 0.002 (p-value <0.05) for the relationship between BMI with IKB the fast way. The conclusion that can be drawn from the results of the analysis is that there is a weak correlation between body mass index and body fitness index on the Havard Step Test fitness test for students of the Faculty of Medicine, University of Jember. Keywords: body mass index, harvard step test , physical fitness

scholarly journals A Bayesian Sensitivity Analysis to Partition Body Mass Index Into Components of Body Composition: An Application to Head and Neck Cancer Survival

2019 ◽  
Vol 188 (11) ◽  
pp. 2031-2039
Author(s):  
Patrick T Bradshaw ◽  
Jose P Zevallos ◽  
Kathy Wisniewski ◽  
Andrew F Olshan
Keyword(s):  
Body Mass Index ◽  
Sensitivity Analysis ◽  
Body Composition ◽  
Head And Neck Cancer ◽  
Head And Neck ◽  
Body Mass ◽  
Neck Cancer ◽  
Hazard Ratio ◽  
Unit Increase ◽  
The Relationship

Abstract Previous studies have suggested a “J-shaped” relationship between body mass index (BMI, calculated as weight (kg)/height (m)2) and survival among head and neck cancer (HNC) patients. However, BMI is a vague measure of body composition. To provide greater resolution, we used Bayesian sensitivity analysis, informed by external data, to model the relationship between predicted fat mass index (FMI, adipose tissue (kg)/height (m)2), lean mass index (LMI, lean tissue (kg)/height (m)2), and survival. We estimated posterior median hazard ratios and 95% credible intervals for the BMI-mortality relationship in a Bayesian framework using data from 1,180 adults in North Carolina with HNC diagnosed between 2002 and 2006. Risk factors were assessed by interview shortly after diagnosis and vital status through 2013 via the National Death Index. The relationship between BMI and all-cause mortality was convex, with a nadir at 28.6, with greater risk observed throughout the normal weight range. The sensitivity analysis indicated that this was consistent with opposing increases in risk with FMI (per unit increase, hazard ratio = 1.04 (1.00, 1.08)) and decreases with LMI (per unit increase, hazard ratio = 0.90 (0.85, 0.95)). Patterns were similar for HNC-specific mortality but associations were stronger. Measures of body composition, rather than BMI, should be considered in relation to mortality risk.

scholarly journals Prevalence of Obesity and the Relationship between the Body Mass Index and Body Fat: Cross-Sectional, Population-Based Data

PLoS ONE ◽  
2012 ◽  
Vol 7 (1) ◽  
pp. e29580 ◽  
Author(s):  
Julie A. Pasco ◽  
Geoffrey C. Nicholson ◽  
Sharon L. Brennan ◽  
Mark A. Kotowicz
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Population Based ◽  
The Body ◽  
Cross Sectional ◽  
Prevalence Of Obesity ◽  
The Relationship

Relationships Between the Body Mass Index and Body Composition

1996 ◽  
Vol 4 (1) ◽  
pp. 35-44 ◽  
Author(s):  
Rita I. Wellens ◽  
Alex F. Roche ◽  
Harry J. Khamis ◽  
Andrew S. Jackson ◽  
Michael L. Pollock ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Composition ◽  
Body Mass ◽  
The Body
Sign in / Sign up

Export Citation Format

Share Document