scholarly journals BMI and morbidity in relation to body composition: a cross-sectional study of a rural community in North-East India

2005 ◽  
Vol 93 (1) ◽  
pp. 101-107 ◽  
Author(s):  
R. Khongsdier
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Rural Community ◽  
Odds Ratio ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Cross Sectional ◽  
North East India ◽  
North East ◽  
The Relationship

This paper deals with BMI and morbidity in relation to body-fat mass (BFM) and fat-free mass (FFM). The analysis was based on cross-sectional data concerning the age, household income, anthropometry and morbidity of 575 males aged 18–59 years from a rural community in North-East India. Data on morbidity were based on the self-reported morbidity (SRM) of the subjects during the last 4 weeks before the survey, whereas data on BMI and body composition were estimated from anthropometry. It was found that SRM was significantly associated with age and income. However, the relationship between BMI and SRM was not significant after adjusting for age and income. Separating the BMI into body-fat mass index (BFMI being BFM in kg divided by height squared in metres) and fat-free mass index (FFMI being FFM in kg divided by height squared in metres), it was found that BFMI was significantly associated with SRM after adjusting for age, income and FFMI. The subjects with a low (<2·9 kg/m2) BFMI were about 4·7 times (odds ratio 4·7, 95 % CI 2·6, 8·6) more likely to become sick than those with a normal (2·9–5·0 kg/m2) BFMI. In addition, the risk of becoming sick was higher in the subjects with a high (>5·0 kg/m2) BFMI than in those with a normal BFMI (odds ratio 3·9, 95 % CI 1·3, 9·8). However, the relationship between FFMI and morbidity was not clearly perceptible. It is therefore speculated that BMI may not always provide accurate information about the variation in body fat and body composition that is associated with morbidity.

scholarly journals Body Composition in Elite Soccer Players from Youth to Senior Squad

2021 ◽  
Vol 18 (9) ◽  
pp. 4982
Author(s):  
Marijan Spehnjak ◽  
Marko Gušić ◽  
Slavko Molnar ◽  
Mario Baić ◽  
Slobodan Andrašić ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Body Height ◽  
Age Groups ◽  
Fat Free Mass ◽  
Soccer Players ◽  
Body Fat Mass ◽  
Cross Sectional ◽  
Percentage Of Body Fat

There is a strong relationship between body composition and performance in male soccer players. This study aimed to display an optimal body height and weight, and body composition profile of male soccer players for four competitive age groups. This cross-sectional study included four groups: U-15 (n = 152), U-17 (n = 154), U-19 (n = 61), and seniors (n = 27). Body height and weight were measured under standard conditions, and the bioelectrical impedance analyzer (BIA) analyzed body composition. On average, soccer players in the U-15 group had significantly lower body height, weight, body mass index, skeletal muscle mass, fat-free mass, total body water and basal metabolic rate than U-17, U-19 and seniors, but a higher percentage of body fat than U-17 and U-19, p < 0.05. In addition, the results show significant non-linear increases in body height, weight and body composition as the age of soccer players increases, with the exception of the percentage of body fat mass, which tends to significantly decrease with age. The main findings of this study are that body fat mass remains stable and similar across all age groups, including in the senior squad.

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 Ethnic differences in the relationship between body mass index and percentage body fat among Asian children from different backgrounds

2011 ◽  
Vol 106 (9) ◽  
pp. 1390-1397 ◽  
Author(s):  
Ailing Liu ◽  
Nuala M. Byrne ◽  
Masaharu Kagawa ◽  
Guansheng Ma ◽  
Bee Koon Poh ◽  
...  
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Ethnic Differences ◽  
Task Force ◽  
The Philippines ◽  
Overweight And Obesity ◽  
Fat Free Mass ◽  
Percentage Body Fat ◽  
Asian Children ◽  
The Relationship

Overweight and obesity in Asian children are increasing at an alarming rate; therefore a better understanding of the relationship between BMI and percentage body fat (%BF) in this population is important. A total of 1039 children aged 8–10 years, encompassing a wide BMI range, were recruited from China, Lebanon, Malaysia, The Philippines and Thailand. Body composition was determined using the 2H dilution technique to quantify total body water and subsequently fat mass, fat-free mass and %BF. Ethnic differences in the BMI–%BF relationship were found; for example, %BF in Filipino boys was approximately 2 % lower than in their Thai and Malay counterparts. In contrast, Thai girls had approximately 2·0 % higher %BF values than in their Chinese, Lebanese, Filipino and Malay counterparts at a given BMI. However, the ethnic difference in the BMI–%BF relationship varied by BMI. Compared with Caucasian children of the same age, Asian children had 3–6 units lower BMI at a given %BF. Approximately one-third of the obese Asian children (%BF above 25 % for boys and above 30 % for girls) in the study were not identified using the WHO classification and more than half using the International Obesity Task Force classification. Use of the Chinese classification increased the sensitivity. Results confirmed the necessity to consider ethnic differences in body composition when developing BMI cut-points and other obesity criteria in Asian children.

scholarly journals Eating-Disordered Behavior in Adolescents: Associations with Body Image, Body Composition and Physical Activity

2020 ◽  
Vol 17 (18) ◽  
pp. 6665
Author(s):  
Eliška Štefanová ◽  
Peter Bakalár ◽  
Tibor Baška
Keyword(s):  
Physical Activity ◽  
Body Image ◽  
Body Composition ◽  
Body Fat ◽  
Fat Mass ◽  
Mental Health Problems ◽  
Pearson Correlation ◽  
Fat Free Mass ◽  
Body Fat Mass ◽  
Eating Disordered

Eating disorders (EDs) represent a disparate group of mental health problems that significantly impair physical health or psychosocial functioning. The aim of this study was to present some evidence about the prevalence of eating-disordered behavior (EDB) in adolescents, and explore its associations with body image (BI), body composition (BC) and physical activity (PA) in this age group. Data from 780 adolescents participating in a health behavior in school-aged children (HBSC) study conducted in Slovakia in 2018 were used (mean age 13.5 ± 1.3; 56% boys). Differences in mean values of numerical indicators were evaluated using the independent samples t-test. Differences between nominal variables were assessed by the chi-square test. Pearson correlation was used to describe the associations between all the selected variables. EDB was positively screened in 26.7% (208/780) of adolescents, with a higher prevalence in girls (128/344, 37.2%) than in boys (80/436, 18.3%). Significantly higher means of BI, body weight (BW), body mass index (BMI), body fat mass (BFM), body fat percentage (BFP), body fat mass index (BFMI), fat free mass index (FFMI), and SCOFF questionnaire score (SCOFF QS) were found in those positively screened for EDB. Pearson correlation analysis revealed positive associations between EDB and BI, BW, BMI, BFM, BFP and BFMI. The prevalence of EDB is high in Slovak adolescents. Positive associations between EDB, BI, BMI and fat-related body composition parameters support the idea of a more integrated approach in EDs and obesity prevention and treatment. At the same time, gender differences suggest the need for considering gender-specific strategies aimed at girls and boys separately.

Steps Measured by Pedometry and the Relationship to Adiposity in College Women

2014 ◽  
Vol 11 (6) ◽  
pp. 1225-1232 ◽  
Author(s):  
Bruce Wayne Bailey ◽  
Pamela Borup ◽  
Larry Tucker ◽  
James LeCheminant ◽  
Matthew Allen ◽  
...  
Keyword(s):  
Body Composition ◽  
Young Adult ◽  
College Women ◽  
Body Fat ◽  
Percent Body Fat ◽  
Adult Women ◽  
Young Adult Women ◽  
Cross Sectional ◽  
Steps Per Day ◽  
The Relationship

Background:The aim of this study was to investigate the relationship between steps per day and adiposity among college women.Methods:This study was cross-sectional and included women ages 18–25. Participants wore a pedometer for 7 consecutive days. Body composition was assessed using air-displacement plethysmography. Height, weight, and waist and hip circumferences were assessed.Results:The women took 10,119 ± 2836 steps per day. When divided into quartiles by steps, the top 2 quartiles of women in the study had significantly lower BMI, percent body fat, and waist and hip circumferences than the bottom quartile of women (P ≤ .05). Percent body fat was different between the bottom 2 quartiles and the top 2 quartiles (P ≤ .05). The odds of having a body fat of greater than 32% were reduced by 21.9% for every increase of 1,000 steps taken per day (P ≤ .05).Conclusions:Steps per day are related to body composition in young adult women, but this relationship weakens with progressively higher step counts. A reasonable recommendation for steps in young adult women that is associated with the lowest BMIs and body fat seems to be between 10,000–12,000 steps per day.

scholarly journals Between-laboratory comparison of densitometry and bio-electrical impedance measurements

1994 ◽  
Vol 71 (3) ◽  
pp. 309-316 ◽  
Author(s):  
Paul Deurenberg ◽  
Klaas R. Westerterp ◽  
Erica J. M. Velthuis-Te Wierik
Keyword(s):  
Body Composition ◽  
Body Fat ◽  
Total Body Water ◽  
Electrical Impedance ◽  
Normal Weight ◽  
Body Water ◽  
Fat Free Mass ◽  
Lower Amount ◽  
Total Body ◽  
The Relationship

Body composition was measured in nine healthy, normal-weight, weight-stable subjects in three different research centres. In each centre the usual procedures for the measurements were followed. It revealed that the measurement procedures in the three centres were comparable. Body composition was measured in each centre between 09.00 and 13.00 hours after a light breakfast by densitometry (underwater weighing) and bio-electrical impedance. A single, total-body-water determination by D2O dilution was used as a reference value. Body fat determined by densitometry was significantly lower in one centre, which, however, could be completely explained by a lower body weight, probably due to water loss (the subjects refrained for a longer time from food and drinks before the measurements in that centre) and, thus, by violation of the assumptions of Siri's (1961) formula. Also, body impedance was slightly higher in that centre, indicating a lower amount of body water. Mean body fat from densitometry was also slightly lower in that centre compared with body fat determined by D2O dilution. Individual differences between body fat from densitometry and from total body water were relatively large, up to 7% body fat. The relationship between fat-free mass from densitometry and bio-electrical impedance was not different between the centres. It is concluded that differences in the relationship between body composition and bio-electrical impedance, as reported in the literature, may be due to differences in standardization procedures and/or differences in reference population.

scholarly journals EFFECTS OF PROGRAMMED FITNESS EXERCISE ON BODY COMPOSITION AMONG PRE-SCHOOL CHILDREN

2018 ◽  
Vol 16 (1) ◽  
pp. 047
Author(s):  
Predrag Bićanin ◽  
Saša Milenković ◽  
Dragan Radovanović ◽  
Aco Gajević ◽  
Jelena Ivanović
Keyword(s):  
Body Composition ◽  
Muscle Mass ◽  
Body Fat ◽  
Fat Mass ◽  
Fat Free Mass ◽  
Control Group ◽  
Body Fat Mass ◽  
Mass Percentage ◽  
Fitness Clubs ◽  
Experimental Group

This research included a sample of 79 pre-school boys aged 6 and 7 with 40 of them in the experimental group and 39 in the control group. Their current state of body composition was studied, as well as their relations after a 6-month fitness treatment that the experimental group of participants was involved in, in order to analyze its effects. The experimental group had two classes per week, in addition to regular programmed activities as part of the children’s sport school (three times per week), and as part of 48 of additional, six-month training lessons of exercising in sport (fitness) clubs. The following variables have been used to evaluate body composition with the application of bio-electric impedance In Body 230 such as: muscle mass, percentage of muscle mass, body fat mass, percentage of body fat mass, fat free mass, percentage of fat free mass. Although small to moderate effects were obtained by the double mixed ANOVA, the results show the experimental group’s achievements as significantly higher than those of the control group. Furthermore, with individual eta coefficient findings in comparison with each group measurements, it is clear that the value of the obtained effects is different between groups to the benefit of the experimental group. Permanent implementation of the proposed programme could contribute to an improvement on the studied body composition variables which can result in the better health status of children in future.    

Relationship between aerobic fitness level and daily energy expenditure in weight-stable humans

1992 ◽  
Vol 263 (1) ◽  
pp. E121-E128 ◽  
Author(s):  
T. A. Sharp ◽  
G. W. Reed ◽  
M. Sun ◽  
N. N. Abumrad ◽  
J. O. Hill
Keyword(s):  
Body Composition ◽  
Energy Expenditure ◽  
Aerobic Fitness ◽  
Resting Metabolic Rate ◽  
Fat Free Mass ◽  
Daily Energy Expenditure ◽  
Cross Sectional ◽  
Fitness Level ◽  
Daily Energy ◽  
The Relationship

The relationship between exercise and energy expenditure is unclear, with some suggestions that exercise leads to increased energy expenditure over and beyond the increase due to the exercise itself. In this cross-sectional study, we examined the relationships among aerobic fitness level, body composition, and total daily energy expenditure in 78 subjects. Daily energy expenditure (determined in a whole room calorimeter) was significantly correlated with both fat-free mass (FFM) and aerobic fitness (estimated from maximum aerobic capacity or VO2max). However, multiple-regression analysis demonstrated that, after accounting for FFM, VO2max did not explain a significant amount of the remaining variation in energy expenditure. In addition, the relationship between resting metabolic rate and both FFM and VO2max was evaluated using data from 214 weight-stable subjects analyzed retrospectively. The results were identical with the results obtained from the 78 subjects in that VO2max did not have effects independent of FFM on energy expenditure. We conclude that aerobic fitness does not have a direct effect on energy expenditure. However, it may have effects that are mediated through body composition, since in both populations studied here, VO2max was positively correlated with FFM and negatively correlated with adiposity.

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