scholarly journals Differentiation of body fat composition between skinfold caliper and bioelectrical impedance analysis methods among professors

2018 ◽  
Vol 1 (1) ◽  
pp. 12-16
Author(s):  
Leonardo Lubis ◽  
Nicole Ngo Zhe Yiin ◽  
Dimas Erlangga Luftimas
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Physical Activity Level ◽  
Bioelectrical Impedance Analysis ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Activity Level ◽  
Significant Difference ◽  
Fat Composition ◽  
Skinfold Caliper

Background: Body fat composition which is reflected by body fat percentage (BF%) is one of the important components in disease risk evaluation. Among the methods available to measure BF%, skinfold calipers (SKF) and bioelectrical impedance analysis (BIA) are the most common used. The study is conducted to observe the difference in body fat composition measurement between skinfold caliper and bioelectrical impedance analysis methods among Professors.Method: This study involved 72 UNPAD Professors (50 ♂, 22 ♀) after fitted into criterias. BF% was measured among UNPAD Professors using SKF and BIA. After obtaining agreement by Bland-Altman Plot, the data was analyzed by muliple paired-t test according to gender, physical activity level and BMI categories. Results: The study showed no significant difference in BF% between SKF and BIA in overall population, between gender and physical activity level (p>0.05). For BMI, the only category that showed significant difference in BF% between the 2 methods is obese I group (p=0.001, p>.05).Conclusions: There is no significant difference between SKF and BIA methods according to gender, physical activity levels and BMI categories except for obese I group.

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 Determination of overnutrition using mid-upper arm circumference in comparison with bioelectrical impedance analysis in children and adolescents in Benin, Nigeria

2019 ◽  
Vol 34 (1) ◽  
pp. 68-78
Author(s):  
Sylvester Oriaifo ◽  
Philip Abiodun ◽  
Anthony Oyovwikigho Atimati ◽  
Damian Nwaneri
Keyword(s):  
Children And Adolescents ◽  
Body Fat ◽  
Bioelectrical Impedance Analysis ◽  
Screening Tool ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Content Type ◽  
Arm Circumference ◽  
Fat Composition ◽  
Mid Upper Arm Circumference

Purpose The prevalence of overweight and obesity in children and adolescents is on the increase in developing countries. Therefore, a cheap, accessible and simple screening tool such as the mid-upper arm circumference (MUAC) is required for the prompt assessment. The purpose of this paper is to determine the usefulness of MUAC in assessing overnutrition in comparison with bioelectrical impedance analysis (BIA). Design/methodology/approach Participants included 1,067 children aged 6–18 years recruited from private and public schools in Egor Local Government Area in Benin City, Nigeria. Body fat was estimated by BIA using a Tanita scale, whereas the MUAC was measured with a non-elastic tape. Receiver operating characteristic analysis was used to test the ability of MUAC to determine children and adolescents identified as overweight and obese by BIA. Findings The prevalence of overnutrition by MUAC (12.4 percent – overweight 6.0 percent and obesity 6.4 percent) was comparable to that by BIA (12.3 percent – overweight 5.4 percent, obesity 6.9 percent). There was a significant correlation between MUAC and body fat percentage, fat mass, fat mass index and fat-free mass index in both males and females (p=0.000). Research limitations/implications This study, in contrast to most other studies on the use of MUAC in the assessment of overnutrition, has the advantage of using BIA cut-offs values against body mass index which does not assess body fat composition. BIA is, however, not the gold standard in the measurement of body fat composition. The optimal MUAC cut-off values of this study may not be representative of the entire country because of its restriction to Benin. Similar studies from different parts of Nigeria will be required to validate this smoothed MUAC percentiles for use in the screening of children and adolescents for overnutrition. Originality/value MUAC compares well with BIA in this study and can be a useful, alternative and practical screening tool for assessing obesity in the resource-poor setting.

scholarly journals Association Between Body Fat Percentage and Level of Physical Activity Among Adolescents in Kuala Nerus, Terengganu

2022 ◽  
Vol 5 (S2) ◽  
pp. 36-43
Author(s):  
Nur Farisya Athirah Zulkifli ◽  
Bee Suan Wee
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Bioelectrical Impedance ◽  
Impedance Analysis ◽  
Cross Sectional Study ◽  
Activity Level ◽  
Body Fat Percentage ◽  
Fat Percentage ◽  
Cross Sectional ◽  
Prevalence Of Obesity

Lack of physical activity among adolescents is one of the factors which lead to the accumulation of body fat and increase prevalence of obesity among Malaysian population. Therefore, this study was aimed to determine the association between body fat percentage and physical activity level among adolescents in Kuala Nerus, Terengganu. This cross-sectional study involved 300 participants consists of 44.7% male and 55.3% female aged between 10 to 16 years old. Anthropometric measurements included body weight, height and waist circumference. Body fat percentage (%BF) was assessed using bioelectrical impedance analysis (BIA). Physical activity was assessed by physical activity questionnaire (PAQ-C) and pedometers in a subsample (n = 50). The result shows that the mean body fat percentage and BMI of the participants were 23.02±9.41% and 20.03±4.77 kg/m2, respectively. Mean PAQ-C score and pedometer steps count for both genders were 1.9±0.42 and 6079±1878, respectively. Male has higher PA level compared to female in their daily life based on PAQ-C score and pedometer steps count. PAQ-C score and pedometer step counts were negatively associated with %BF however there is no significant association between screen time and %BF. As a conclusion, the problems of obesity can be solved by providing strategies to promote active living among adolescents in Malaysia not only focus on increasing physical activity but also emphasise reduction in sedentary behaviours.

Physical Activity Level and Motor Aptitude: Motor Domains and Identification Capacity of Brazilian Insufficiently Active Older Adults

2020 ◽  
Vol 13 ◽  
Author(s):  
Lucia Maria Andreis ◽  
Fernando de Aguiar Lemos ◽  
Lorenna Walesca de Lima Silva ◽  
Cassiana Luiza Pistorello Garcia ◽  
Gabrielli Veras ◽  
...  
Keyword(s):  
Physical Activity ◽  
Older Adults ◽  
Physical Activity Level ◽  
Area Under The Curve ◽  
The Elderly ◽  
Activity Level ◽  
General Motor ◽  
Body Scheme ◽  
Significant Difference ◽  
Global Coordination

Background: A decrease in the physical activity level in old age is common, which results in an increase in the number of falls and chronic conditions. Associated with that occurs the decline in motor skills as a result of the deficit in the interaction of cognitive and motor processes. Physical activity level can be associated differently with each motor domains. Objective: We analyzed the relationship between physical activity level and motor aptitude, and to identify which motor domains were most sensitive to detect insufficiently active level in older adults. Methods: Participated in the study 385 elderly people of both sexes. For the evaluation of the subjects were adopted the International Questionnaire on Physical Activity and the Motor Scale for Older Adults. Results: The majority of the elderly were active. In the comparison of motor aptitude between active and insufficiently active (IAC) elders a significant difference was found in the Global Coordination, Balance, Body Scheme and General Motor Aptitude. From the analysis of the area under the curve (AUC), we verified that these domains also were the ones that presented adequate diagnostic accuracy to identify IAC elderly. Besides that active elderly have presented the General Motor Aptitude classified within normality while the IAC below the normal. Conclusion: Our data suggest that IAC older adults present lower motor aptitude than the active elderly, especially in the domains of Global Coordination, Balance, Body Scheme and General Motor Aptitude, and that these domains were sensitive to indicate IAC older adults.

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