Body Fat Percent and Distribution

2021 ◽  
pp. 675-679
Author(s):  
Martin J Tovée ◽  
Esther M Cohen-Tovée
Keyword(s):  
Body Fat ◽  
Body Fat Percent

scholarly journals Ethnic Specific body fat percent prediction equation as surrogate marker of obesity in Ethiopian adults

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Makeda Sinaga ◽  
Melese Sinaga Teshome ◽  
Tilhun Yemane ◽  
Elsah Tegene ◽  
David Lindtsrom ◽  
...  
Keyword(s):  
Body Fat ◽  
Age Groups ◽  
Surrogate Marker ◽  
Cost Effective ◽  
Prediction Equation ◽  
Prediction Equations ◽  
Altman Plot ◽  
Cross Sectional ◽  
Bland Altman Plot ◽  
Body Fat Percent

Abstract Background Application of advanced body composition measurement methods is not practical in developing countries context due to cost and unavailability of facilities. This study generated ethnic specific body fat percent prediction equation for Ethiopian adults using appropriate data. Methods A cross-sectional study was carried ifrom February to April 2015 among 704 randomly selected adult employees of Jimma University. Ethnic specific Ethiopian body fat percent (BF%) prediction equation was developed using a multivariable linear regression model with measured BF% as dependent variable and age, sex, and body mass index as predictor variables. Agreement between fat percent measured using air displacement plethysmography and body fat percent estimated using Caucasian prediction equations was determined using Bland Altman plot. Results Comparison of ADP measured and predicted BF% showed that Caucasian prediction equation underestimated body fat percent among Ethiopian adults by 6.78% (P < 0.0001). This finding is consistent across all age groups and ethnicities in both sexes. Bland Altman plot did not show agreement between ADP and Caucasian prediction equation (mean difference = 6.7825) and some of the points are outside 95% confidence interval. The caucasian prediction equation significantly underestimates body fat percent in Ethiopian adults, which is consistent across all ethnic groups in the sample. The study developed Ethnic specific BF% prediction equations for Ethiopian adults. Conclusion The Caucasian prediction equation significantly underestimates body fat percent among Ethiopian adults regardless of ethnicity. Ethiopian ethnic-specific prediction equation can be used as a very simple, cheap, and cost-effective alternative for estimating body fat percent among Ethiopian adults for health care provision in the prevention of obesity and related morbidities and for research purposes.

Investigating the relationship between insulin resistance and adipose tissue in a randomized Tehrani population

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jalaledin Mirzay Razzaz ◽  
Hossein Moameri ◽  
Zahra Akbarzadeh ◽  
Mohammad Ariya ◽  
Seyed ali Hosseini ◽  
...  
Keyword(s):  
Insulin Resistance ◽  
Adipose Tissue ◽  
Body Fat ◽  
Odds Ratio ◽  
Cross Sectional Study ◽  
Model Assessment ◽  
Fasting Insulin ◽  
Cross Sectional ◽  
Body Fat Percent ◽  
The Relationship

Abstract Objectives Insulin resistance is the most common metabolic change associated with obesity. The present study aimed to investigate the relationship between insulin resistance and body composition especially adipose tissue in a randomized Tehrani population. Methods This study used data of 2,160 individuals registered in a cross-sectional study on were randomly selected from among subjects who were referred to nutrition counseling clinic in Tehran, from April 2016 to September 2017. Insulin resistance was calculated by homeostasis model assessment formula. The odds ratio (95% CI) was calculated using logistic regression models. Results The mean age of the men was 39 (±10) and women were 41 (±11) (the age ranged from 20 to 50 years). The risk of increased HOMA-IR was 1.03 (95% CI: 1.01–1.04) for an increase in one percent of Body fat, and 1.03 (95% CI: 1.00–1.05) for an increase in one percent of Trunk fat. Moreover, the odds ratio of FBS for an increase in one unit of Body fat percent and Trunk fat percent increased by 1.05 (adjusted odds ratio [95% CI: 1.03, 1.06]) and 1.05 (95% CI: 1.02, 1.08). Also, the risk of increased Fasting Insulin was 1.05 (95% CI: 1.03–1.07) for an increase in one unit of Body fat percent, and 1.05 (95% CI: 1.02–1.08) for an increase in one unit of Trunk fat percent. Conclusions The findings of the present study showed that there was a significant relationship between HOMA-IR, Fasting blood sugar, Fasting Insulin, and 2 h Insulin with percent of Body fat, percent of Trunk fat.

scholarly journals Maternal obesity and offspring body composition by indirect methods: a systematic review and meta-analysis

2015 ◽  
Vol 31 (10) ◽  
pp. 2073-2092 ◽  
Author(s):  
Helen Castillo-Laura ◽  
Iná S. Santos ◽  
Lenice C. M. Quadros ◽  
Alicia Matijasevich
Keyword(s):  
Systematic Review ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Maternal Obesity ◽  
Fat Free Mass ◽  
Case Control Studies ◽  
Indirect Methods ◽  
Body Fat Percent ◽  
Maternal Overweight

Abstract This study reviewed the evidence that assessed the association between maternal pre-pregnancy body mass index (BMI) and/or gestational weight gain and offspring body composition in childhood. A systematic review was conducted. Cohort studies, case-control studies and randomized controlled trials measuring offspring body composition by indirect methods were included. Meta-analyses of the effect of pre-pregnancy BMI on offspring fat-free mass, body fat percent, and fat mass were conducted through random-effects models. 20 studies were included, most of which reported a positive association of pre-pregnancy BMI with offspring body fat. Standardized mean differences in body fat percent, fat mass and fat-free mass between infants of women with normal pre-pregnancy BMI and those of overweight/obese women were 0.31 percent points (95%CI: 0.19; 0.42), 0.38kg (95%CI: 0.26; 0.50), and 0.18kg (95%CI: -0.07; 0.42), respectively. Evidence so far suggests that pre-pregnancy maternal overweight is associated with higher offspring adiposity.

Abstract MP028: Physical Activity Relates to Lower Visceral Adiposity in Children and Adolescents

Circulation ◽  
2012 ◽  
Vol 125 (suppl_10) ◽  
Author(s):  
Amanda E Staiano ◽  
Stephanie T Broyles ◽  
Alok K Gupta ◽  
Peter T Katzmarzyk
Keyword(s):  
Physical Activity ◽  
Adipose Tissue ◽  
Children And Adolescents ◽  
Body Fat ◽  
Vigorous Physical Activity ◽  
Regular Physical Activity ◽  
Self Report ◽  
Percent Body Fat ◽  
Lower Body ◽  
Body Fat Percent

Introduction: Expansion of visceral adipose tissue (VAT) associates with adverse metabolic changes. While regular moderate-to-vigorous activity is associated with lower total body fat in children and adolescents, it is unknown how physical activity relates to other adiposity indices, including VAT. Hypothesis: We hypothesized that regular physical activity in children and adolescents associates with lower body fat, percent body fat, abdominal subcutaneous adipose tissue (SAT), and VAT. Methods: The sample included 393 boys and girls aged 5–18 years (45.6% White, 50.6% African American, and 3.8% Other). Body fat and percent body fat were measured by dual-energy x-ray absorptiometry. Abdominal SAT and VAT mass were measured by magnetic resonance imaging between the highest point of the liver and the lower pole of the right kidney (using 5 to 8 cross-sectional slices, 4.76 cm apart). Participants were categorized as being regularly active by self-report: moderate-to-vigorous physical activity of ≥ 60 minutes/day, ≥ 4 days/week. Those who were physically active fewer than 4 days/week were categorized as not regularly active. Results: In this sample of children and adolescents, 45.6% of participants were regularly active. One-way ANCOVAs adjusted for age and sex demonstrated that regularly active youth had significantly less body fat (p<0.01) and lower percent body fat (p<0.01) than those who were not regularly active. One-way ANCOVAs adjusted for age, gender, and body fat, revealed that regularly active children and adolescents had no difference in SAT but had significantly lower amounts of VAT (p<0.05) when compared to those who were not regularly active. Conclusion: Engagement in moderate-to-vigorous physical activity for at least 60 minutes on four or more days of the week in children and adolescents was related to lower body fat, percent body fat and VAT, when compared to those youth who were less active. The promotion of regular physical activity has significant public health implications for body fat accumulation and for controlling excess VAT during childhood and adolescence.

scholarly journals Validity of Some Anthropometric Indicators in the Prediction of High Systolic Blood Pressure among Indian Adolescents

2008 ◽  
Vol 1 ◽  
pp. CMPed.S818
Author(s):  
Shobha Rao ◽  
Asawari N. Kanade ◽  
Priti P. Apte
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Body Fat ◽  
Blood Pressure Measurement ◽  
Skinfold Thickness ◽  
Classification Systems ◽  
Operating Characteristics ◽  
Cross Sectional ◽  
High Systolic Blood Pressure ◽  
Body Fat Percent

Background In view of the increasing prevalence of obesity in children, it is necessary to investigate the relative performance of different indicators used for its assessment and health consequences. Objectives To examine concordance between various indicators used for assessing obesity among adolescents and to examine their ability to predict risk of high systolic blood pressure. Design Cross-sectional study, from two schools catering to affluent class. Subjects Children in age 9–16 yr (n = 1146 boys and 1036 girls). Measurements Body weight, height, skinfold thickness at triceps (TSFT) and body fat percent by trained investigators and blood pressure measurement by a pediatrician using sphygmomanometer. Results Prevalence of overweight was lowest with criterion of TSFT (11.7% in boys; 7.6% in girls) and was highest using criterion of body fat percent (53.7% in boys and 28.4% in girls). Body mass index (BMI) had high significant correlation with each of the indicator and with systolic blood pressure (SBP) as well, in both sexes. All the indicators with conventional cut offs showed poor sensitivity for predicting high SBP. However, receiver operating characteristics (ROC) cut-offs improved sensitivity considerably, but the values were much lower compared to conventional cut-offs. Conclusions There is considerable disparity in the estimates of overweight children obtained by different indicators. Lower values of ROC cut-offs highlights the need for population specific customized classification systems for assessing obesity in view of the probable population differences in relative risks of non-communicable adult diseases.

scholarly journals Associations of body fat percent and body mass index with childhood asthma by age and gender

Obesity ◽  
2013 ◽  
pp. n/a-n/a ◽  
Author(s):  
Panayiotis K. Yiallouros ◽  
Demetris Lamnisos ◽  
Ourania Kolokotroni ◽  
Maria Moustaki ◽  
Nicos Middleton
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Body Fat ◽  
Childhood Asthma ◽  
Age And Gender ◽  
Body Fat Percent ◽  
And Gender

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.

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