• Title/Summary/Keyword: Hydrodensitometry

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Comparison of the Estimations of Body Fat by Bioelectrical Impedence Analysis(BIA) and Anthropometric Measurements of Elementary School Students in Daejeon (대전 시내 초등학생의 생체 전기 임피던스치와 신체계측치에 의한 체지방율 비교 연구)

  • Wang, Soo-Gyoung;Lee, Na-Young
    • Korean Journal of Human Ecology
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    • v.16 no.4
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    • pp.849-854
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    • 2007
  • Body fat proportion is a major issue in health. The prevalence of obesity in childhood has been increasing on thesedays. A series of indirect estimates of body fat have been developed. There are hydrodensitometry, BIA and anthropometry equation for body fat. Hydrodensitometry has been regarded as a common criterion method. BIA made it possible to analyze body fat mass more related to hydrodensitometry than anthropometry. The purpose of this unvestigation were to compare body fat and other body composition between boys & girls and to know which anthropometry equation for body fat was most closely associated with BIA in boys & girls respectively. The subjects were 148 4th grade elementary school students(male:70, female:78). They underwent BIA(InBody 3.0, Biospace Korea)to determine body fat and other body composition. Anthropometric measurements were taken of height, weight, skinfolds and circumferences. The results obtained are summarized as follow: 1) Weight, BMI and Rohrer index were $39.9{\pm}7.2kg$, $20.5{\pm}8.0$, $138.2{\pm}17.0$ for boys and $35.9{\pm}6.7kg$, $18.2{\pm}2.6$, $96.6{\pm}13.6$ for girls. 2) Total body fat and percent body fat determined by BIA were $10.3{\pm}4.3kg$, $25.4{\pm}6.6%$ for the boys group and $9.3{\pm}3.8kg$, $25.1{\pm}6.0%$ for girls. 3) Mean triceps skinfold thickness was $20.5{\pm}6.1mm$ in boys, $17.0{\pm}5.1mm$ in girls and mean WHR was $0.88{\pm}0.4$ in bodys, $0.82{\pm}0.4$ in female and the values were significantly different by sex. 4) Correlational nanlyses showed that estimation of body fat by BIA measurement seemed to be closely associated with Rohere index(boys r=0.854, girls r=0.909). Kim's equation was highly correlated with the body fat in girls(r=0.910) but less correlated in boys(r=0.710). We need to develop specific anthropometric equations based on age and sex to determine body fat for children.

Development of Bioelectrical Impedance Analyzer for Korean in Telemedicine (원격의료계측을 위한 한국형 생체 전기 임피던스 분석 시스템의 개발)

  • 문재국;서광석;임택균;신태민;윤형로
    • Journal of Biomedical Engineering Research
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    • v.23 no.5
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    • pp.413-418
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    • 2002
  • The purpose of this study was to design a single frequency BIA(Bioelectrical Impedance Analyzer) which can measure body impedance when patient is sitting on the toilet and to develope a prediction equation for designed BIA. For the purpose of this study, we acquired body impedances with designed BIA from 181 subjects composed of healthy Korean by attaching electrodes to suitable positions(wrist and thigh) for toilet measurement. We computed an appropriate FFM(Fat Free Mass) for Korean using modified-Siri equation to the same subjects instead of Siri equation which nay cause accuracy problems in hydrodensitometry when it applied to Korean. We used this FFM as reference value and developed a Korean FFM prediction equation based on body impedance index, body weight and sex. Correlation coefficient between prediction value and reference value of FFM was extremely high (r = 0.977) and SEE(Standard Error of Estimation) was low 2.47kg.(p<0.05) For comparison between existing electrode-attaching method and our method for toilet measurement, we acquired body impedance with designed BIA from same subjects attaching electrodes on existing positions (wrist and ankle) and made FFM prediction equation for BIA. Correlation coeffient between predicted value and reference value was 0.978 and SEE was 2.43kg(p<0.05). It means that the developed system has not significant differences with existing method. In conclusion bioelectrical impedance analyzer and the FFM prediction equation developed in this paper are evaluated to he adequate to compute FFM of Korean.

Comparison of the Estimations of Body Fat by Bioelectrical Impedance Analysis and Anthropometric Measurements in Women in Daeieon (대전지역 성인여성의 BIA와 신체계측치에 의한 체지방율 비교 연구)

  • Wang, Soo-Gyoung;Lee, Na-Young
    • Korean Journal of Human Ecology
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    • v.13 no.6
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    • pp.1037-1046
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    • 2004
  • Age-dependent changes in body fat can often be observed in normal population. A series of indirect body fat estimates, such as hydrodensitometry, Bioelectrical Impedance Analysis(BIA), and anthropometry equation for body fat, have been developed. The BIA made it possible to analyze body fat mass more related to hydrodensitometry than anthropometry. This study is to compare the body composition analysis between bioelectrical impedance analysis(BIA) and anthropometric measurements of women. The subjects were a group of Daejeon residents including 32 young-aged women($21.50{\pm}1.44$), 30 middle-aged women($50.33{\pm}5.27$), and 40 old-aged women($69.22{\pm}5.74$). We used BIA(inbody 3.0, Biospace Korea) to determine body fat and other body composition. We also measured weight, height, circumference for 12 parts, and skinfold thickness for 9 parts of all subjects' body. The results are as follows: The subjects' height by the age group were $161.74{\pm}0.94cm$ in the young-aged women, $154.16{\pm}1.09cm$ in the middle-aged, and $148.60{\pm}0.78cm$ in the old-aged respectively. BMI were, in order, $21.68{\pm}0.49,\;22.87{\pm}0.89,\;and\;23.85{\pm}0.55$. Relative body fat determined by BIA was, also in order, $29.06{\pm}0.92%,\;26.35{\pm}1.02%,and\;29.35{\pm}1.07%$. Circumference and skinfold that showed the highest correlation with body fat by BIA was waist in the young-aged(r=0.738) and bast in the middle- and old-aged(r=0.844, r=0.804), and triceps in the young-and old-aged(r=0.538, r=0.798), and subcostal in the middle-aged(r=0.872). Body fat Estimations by BIA were the highest correlation with Caucasian women's equation(r=0.588) in young-aged women, Siri's equation with Durnin & Womesley's body density measurement(r=0.875) in middle aged women and Caucasian women' equation(r=0.872) in old aged women. We need to develop specific anthropometric equations based on sex and age to determine body fat.

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