• 동의생리병리학회지
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• 제20권3호
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• pp.697-700
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• 2006

This study was aimed at finding out changes in body composition of obese patients, such as body weight, body fat mass and lean body mass. The subjects of this study are 33 females and 6 males who are from obesity clinic at Gunsan medical center. We measured body composition using BIA(Bioelectrical Impedence Analysis) to compare pre-treatment with post-treatment. The measured data were analyzed by paired t-test using SPSS. Differences were considered significant at P<0.05. Body weigh, body fat mass and lean body mass were reduced each by $3.76{\pm}23.41{\;}kg,{\;}2.29{\pm}1.96kg{\;}and{\;}1.59{\pm}1.38kg$ at a significant level after 4 week-treatment.

• Clinical and Experimental Pediatrics
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• 제48권7호
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• pp.696-700
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• 2005

목 적 : 소아 체지방 평가에 있어 여러 가지 방법 중 BIA를 이용한 체성분 분석은 비침습적이고, 경제적이며, 방사선 노출의 위험이 없이 검사가 용이해 반복 시행할 수 있다는 장점이 있는 반면 검사 결과의 정확성에 대해 확인해 볼 필요가 있다. 이에 BIA 및 이중 DEXA에 의한 측정치들을 비교하여 BIA의 타당성을 알아보고자 하였다. 방 법 : 2003년 7월에서 10월까지 4개월 동안 부산대학교병원 소아과 방문하였던 소아 100명(남아 58명, 여아 42명)을 연구대상으로 하여 연구 대상자들에 대하여 각각 신장, 체중, 피부두께를 측정하였으며, BIA 및 DEXA법을 이용하여 체성분(체지방량, 제지방량, 제지방률, 체수분량)을 분석하였다. 결 과 : BIA와 DEXA법을 통한 검사상 FBM, LBM, %BF의 상관관계는 남녀 모두에서 통계학적으로 의미있는 양의 상관관계를 보였으며, 통계학적으로 의미가 있었다(P<0.001). 특히 FBM에서 남녀 모두 상관 계수가 높았다. 결 론 : 소아 비만의 평가에 있어 BIA를 통한 체성분 분석은 장치가 간단하고 특별한 기술을 필요로 하지 않으며, 비침습적이면서 경제적일 뿐 아니라 측정치가 객관적이고 정확한 것으로 분석되었다.

• 한방재활의학과학회지
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• 제21권4호
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• pp.167-179
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• 2011

Objectives: In this study, we used with visceral fat area(VFA)/subcutaneous fat area(SFA) ratio(V/S ratio) and bioelectrical impedence analysis(BIA) for a comparative study between VFA measured from several abdominal computed tomography(CT) images and obesity indexes, such as body mass index(BM), waist circumference(WC), and waist-hip ratio(WHR). Methods: A group of 63 test subjects were gathered in the oriental medical hospital of Kyung-Won university. BIA for body composition and body size for obesity indexes were estimated to evaluate the obesity indexes. Pearson correlation coefficients and regression analysis were used to select useful obesity index. Results: The VFA-CT was significantly related to BMI, SFA, WC, hip circumference(HC), body fat mass(BFM), basal metabolic rate(BMR), and VFA-BIA. Especially, we found that the VFA-BIA and BMI were significantly correlated to VFA-CT. Conclusions: VFA-BIA index is an optimized index for diagnosis and evaluation of obesity. Finally, we found that the BMI is optimized to represent VFA.

• 대한한방내과학회지
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• 제39권4호
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• pp.463-470
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• 2018

Objectives: The aim of this study was to identify the validity of phase angle as a prognostic factor for survival in patients with metastatic cancer. Methods: Data of patients with metastatic cancer who visited the Korean medicine cancer center at Kyung Hee University Hospital in Gangdong from April 2016 to February 2018 were collected for this study. The values of phase angle (PhA) and blood hemoglobin (Hb), C-reactive protein (CRP), and serum albumin levels were also investigated by bioelectrical impedance analysis (BIA). Results: In total, 86 patients were analyzed. The cut-off value of the phase angle was determined as 5.0. Univariate and multivariate analysis revealed that phase angle (HR 3.15, 95% CI 1.79-5.54) and CRP (HR 2.15, 95% CI 1.24-3.73) predicted survival with statistical significance. The median overall survival of the low PhA group ($PhA{\leq}5.0$) was 1.8 months (95% CI 0.6-2.9 months) and 7.2 months (95% CI 5.2-9.2 months) in the high PhA group (PhA>5.0)(p<0.001). Conclusions: The phase angle could be an independent prognostic factor for patients with metastatic cancer. Further research is required to confirm these findings and their correlation with other indexes.

• Journal of Preventive Medicine and Public Health
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• 제43권6호
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• pp.479-485
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• 2010

Objectives: The Korean Genome and Epidemiology Study (KoGES), a multicenter-based multi-cohort study, has collected information on body composition using two different bioelectrical impedence analysis (BIA) machines. The aim of the study was to evaluate the possibility of whether the test values measured from different BIA machines can be integrated through statistical adjustment algorithm under excellent inter-rater reliability. Methods: We selected two centers to measure inter-rater reliability of the two BIA machines. We set up the two machines side by side and measured subjects' body compositions between October and December 2007. Duplicated test values of 848 subjects were collected. Pearson and intra-class correlation coefficients for inter-rater reliability were estimated using results from the two machines. To detect the feasibility for data integration, we constructed statistical compensation models using linear regression models with residual analysis and R-square values. Results: All correlation coefficients indicated excellent reliability except mineral mass. However, models using only duplicated body composition values for data integration were not feasible due to relatively low $R^2$ values of 0.8 for mineral mass and target weight. To integrate body composition data, models adjusted for four empirical variables that were age, sex, weight and height were most ideal (all $R^2$ > 0.9). Conclusions: The test values measured with the two BIA machines in the KoGES have excellent reliability for the nine body composition values. Based on reliability, values can be integrated through algorithmic statistical adjustment using regression equations that includes age, sex, weight, and height.

• 대한한방소아과학회지
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• 제25권1호
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• pp.82-89
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• 2011

Objectives: This study was designed to regulate the percentile of body fat percentage by Bioelectrical Impedence Analysis (BIA) in order to detect overweight and obesity in preschool children. Methods 1301 three to six year old children's height, weight, and body fat percentage using BIA was measured. Results: The percent of the boys with 85th percentiles of the body fat percentage were 22.3%(3years), 23.4%(3.5years), 23.9%(4years), 24.8%(4.5years), 22.8%(5years), 24.6%(5.5years) and 23.8%(6years). The percent of the girls with 95th percentiles of the body fat percentage were 24.9%(3years), 27.5%(3.5years), 27.3%(4years), 28.6%(4.5years), 28.1%(5years), 33.3%(5.5years) and 32.7%(6years). For the girls, the percent of girls with 85th percentiles of body fat percentage were 23.3%(3years), 24.4%(3.5years), 23.6%(4years), 23.7%(4.5years), 24.7%(5years), 26.0%(5.5years) and 28.1%(6years). And the 95th percentiles of the body fat percentage were 28.6%(3years), 27.3%(3.5years), 25.4%(4years), 28.0%(4.5years), 31.7%(5years), 33.5%(5.5years) and 36.4%(6years). Conclusions: The 85th percentiles of body fat percentage to classify as overweight and the 95th percentiles of body fat percentage to classify as obesity were accord with the Body Mass Index (BMI) criteria by the Korean pediatrics society in 2007.

• 한국생활과학회지
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• 제16권4호
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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.

• 동아시아식생활학회지
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• 제19권6호
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• pp.846-855
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• 2009

This study was performed to assess gender differences in rates of obesity, dietary behaviors, and nutrient intakes among college students living in Gwangju. Anthropometric measurements showed that the body mass indexes (BMIs) of the males and females were $22.1{\pm}2.6$ and $20.1{\pm}2.4$ respectively. All obesity indices including BMI, relative body weight (RBW), % body fat by bioelectrical impedence analysis (BIA), and waist-hip ratio (WHR) were significantly higher in the males than in the females. Abdominal fat was also found to be higher in the males whereas underweight was prominent in the female students. The dietary behaviors of the males as determined by dietary scores, were poorer than those of the females. Twenty-four hour dietary recalls revealed that most nutrient intakes were adequate, exceptions of vitamin C, Ca, and folate intakes in both sexes and Fe intake in the female students. Ca and folate intakes were below 75% of the KDRI for both genders. In addition, Unbalanced energy ratios of carbohydrate, protein, and fat were noted in both genders. Effective nutrition education programs targeting college students should be developed and implemented to increase Ca and folate consumption. It is suggested that gender-based nutrition education approaches be created due to poor dietary behavior in males and inadequate nutrient intakes in female college students.

• 핵의학기술
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• 제15권1호
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• pp.3-9
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• 2011

이중에너지 방사선 흡수계측법(Dual-energy X-ray Apsorptiometry, DXA)은 일반적으로 골밀도를 통한 골다공증 평가 및 치료목적으로 이용되어 왔으며 최근 비만에 대한 관심이 높아지면서 체지방검사 처방이 증가하고 있는 추세이다. 기존의 체지방 측정은 전신을 검사해야만 평가가 가능했지만 근래 DXA장비의 소프트웨어가 향상 되면서 요추와 대퇴부의 측정만으로도 전신체지방률을 추측 할 수 있게 되었다. 전신측정이 아닌 부분측정 값이 다른 검사방법으로 산출된 값과 비교하여 타당성을 갖는지 생체전기저항측정법(Bioelectrical Impedence Analysis, BIA)과 체질량 지수(Body Mass Index, BMI)와의 상관도 분석을 통해 알아보고자 한다. 2010년 3월부터 8월까지 본원 건강검진센터에 내원한 수검자 중 40세 이상의 여성 90명을 대상으로 DXA와 BIA를 통해 체지방률을 측정하였다. BMI는 신체 계측기를 통해 측정된 신장과 체중을 수검자 정보에 기입하여 자동으로 산출되는 값을 활용하였다. 또한 체중에 따른 차이가 있는지 알아보기 위해 BMI를 기준으로 저체중, 정상, 비만의 세 그룹으로 분류하여 각 그룹에서 BMI와 BIA, DXA 간의 상관도를 분석하였다. 저체중과 정상, 비만으로 나눈 세 그룹에서의 DXA와 BIA의 비교는 모든 그룹에서 통계적으로 유의한 차이를 보이지 않았다. 그룹으로 나누지 않은 상태에서의 상관분석결과 DXA로 측정된 체지방률은 BMI와 비교해 통계적으로 유의한 높은 상관관계를 나타냈으며(r=0.908, p<0.01) BIA와의 비교에서도 통계적으로 유의한 높은 상관관계를 보였다(r=0.927, p<0.01). 부분 골밀도 측정으로부터 추정된 전신체지방률이 BIA 그리고 BMI와 비교해 뛰어난 상관관계를 보여 정보의 신뢰도가 높다는 것을 확인하였다. 아직 추정된 전신체지방률에 관한 명확한 기준이 없어 골밀도측정만으로 체지방평가를 하기는 어렵다. 그러나 골밀도검사를 통해 골다공증의 진단은 물론 체지방에 관한 정보까지 얻을 수 있다는 점에서 매우 효율적이며 추후 전신골밀도검사로 측정된 체지방률과의 비교연구를 통해 더 객관적이고 임상적으로 유용한 정보 제공이 가능할 것으로 판단된다.

• 한국식품영양과학회지
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• 제34권2호
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• pp.196-201
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• 2005

본 연구에서는 실측 휴식대사량과 신장, 체중, 성별, 나이, 제지방 등을 적용한 예측 기초대사량 공식 3가지를 비교하여 어느 예측 공식 이 우리 나라의 젊은 여성들에게 적합한지를 알아보았고, 실측 휴식대사량과 신장, 체중, 체표면적, 체질량지수, 제지방량, 체지방량 및 체지방율과의 상관관계를 분석하고, 예측 공식을 유도하였다. 20∼24세의 건강한 여대생 120명을 연구 대상으로 12시간 금식한 후 30분간 산소섭취량과 이산화탄소 생성량을 측정하여 실측 휴식대사량을 구하였고, 체성분분석은 생체전기저항법(Bioelectrical impedence analysis)으로 측정하였으며, 예측 기초대사량은 Harris-Benedict 공식 , WHO/FhO/UNU 공식 과 Cunnin gham 공식을 이용하였다. 실험 결과 실측 휴식대사량은 1257.3$\pm$147.9 kcal/day이었으며, 성별에 따라 신장, 체중과 나이를 적용한 Harris-Benedict 공식으로 구한 예측 기초대사량은 실측 휴식 대사량보다 116.04$\pm$122.8 kcal/day 높게 나타났으며, WHO/FAO/UNU 공식은 32.7$\pm$115.6 kcal/day 높게, Cunningham 공식은 69.7$\pm$116.2 kcal/day 낮게 나타났으며, 상관분석을 통하여 제지방량을 적용하여 기초대사량을 계산하는 Cunningham 공식이 실측 휴식대사량과 가장 밀접한 관계를 보였다. 실측 휴식 대사량에 영향을 주는 요인들로 제지방, 체표면적과 체중이 순서대로 상관관계가 높게 나타났고, 그 외 신장, 체질량지수, 체지 방량과 체지방율은 기초대사량과의 연관성이 낮은 것으로 조사되었다. 기초대사량과 관련하여 분석한 요인들 가운데 상관성이 가장 높은 제지방량(FFM)을 독립변수로 하고 측정한 기초대사량을 종속변수로 하여 회귀 분석한 결과 RMR=-569.86+48.27(FFM), $R^2$=0.5514로 나타났다.