• Journal of Yeungnam Medical Science
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• 제20권1호
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• pp.53-61
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• 2003

Background: Body weight is an important factor that influence the bone density in postmenopausal women except estrogen dificiency. However, different results are reported about the relationship between body composition and bone density in the postmenopausal women. We have studied the relationship between age, body weight, body mass index (BMI), waist hip ratio (WHR), muscle mass, fat mass, fat free mass and bone density. Materials and Methods: We have studied 127 persons of postmenopausal women who visited university medical center and examined the inbody 3.0 and Dual Energy X-ray Absorptiometry (DEXA) from Jan, 2001 to Jun, 2002. they didn't have any disease and didn't received hormone therapy, osteoporosis therapy or other medication that influence the bone density. Results: The numbers of study subjects is total 127 persons. Mean age is $56.9{\pm}5.14$, mean weight is $59.3{\pm}8.7kg$, mean BMI is $25.37{\pm}3.16(kg/m^2)$, mean fat mass is $20.02{\pm}5.05kg$, mean muscle mass is $37.49{\pm}4.50kg$, mean fat free mass is $39.80{\pm}4.70$, mean BMD is $0.828{\pm}0.148(g/cm^2$). In the result of linear regression analysis, age, height, weight, muscle mass, fat free mass, fat mass, BMI are significant determinants of BMD. In stepwise multiple regression analysis, age is the most significant determinant of BMD and besides age, fat free mass is the most significant determinant of BMD among body composition. Conclusion: In postmenopausal women, age, height, weight, BMI, muscle mass, fat free mass, fat mass are significant determinants of BMD and besides age, fat free mass is the most significant determinant of BMD among the body composition. So, diet and exercise that increase fat free mass will contribute to bone density increment.

• 한방비만학회지
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• 제6권1호
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• pp.69-80
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• 2006

Object : Waist circumference(WC), waist-hip ratio(WHR), waist-stature ratio(WSR), and body mass index(BMI) are commonly used for evaluating obesity. This Research were done to determine what is more sensitive obesity indexes(WC, WHR, WSR, BMI) Correlated with body composition such as body fat mass, body fat(%), visceral fat area, and fat free mass. And what is more sensitively correlated obesity indexes with % changes of body composition during weight reduction treatment. Methods : This clinical retrospective research were carried out 127 cases of female obese outpatients with weight reduction treatment during 1 month. Bioelectrical impedence analysis(for body composition) and body size(for anthropometric obesity indexes) were estimated in pre-treatment and post-treatment to evaluate the obesity indexes. Pearson correlation coefficients were used to select useful obesity index. Result & Conclusion : BMI is useful index for diagnosis and evaluation of obesity. WSR is sensitively correlated with visceral fat area and body fat(%). So, WSR is useful index for evaluating abdominal obesity and risk factors of metabolic syndrome. WC is correlated with both body fat mass and fat free mass. WHR is not optimal for diagnosis and evaluation of obesity.

• Clinical Nutrition Research
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• 제12권4호
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• pp.245-256
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• 2023

A randomized, double-blind, placebo-controlled trial was conducted to confirm whether collagen peptide supplementation for 12 week has a beneficial effect on body fat control in older adults at a daily physical activity level. Participants were assigned to either the collagen group (15 g/day of collagen peptide) or the placebo group (placebo drink). Body composition was measured by bioelectrical impedance analysis (BIA) and dual-energy X-ray absorptiometry (DEXA). In total, 74 participants (collagen group, n = 37; placebo group, n = 37) were included in the final analysis. The collagen group showed a significant reduction in total body fat mass compared with the placebo group, as evidenced by both BIA (p = 0.021) and DEXA (p = 0.041) measurements. Body fat mass and percent body fat of the whole body and trunk reduced at 12 weeks compared with baseline only in the collagen group (whole body: body fat mass, p = 0.002; percent body fat, p = 0.002; trunk: body fat mass, p = 0.001; percent body fat, p = 0.000). Total fat mass change (%) (collagen group, -0.49 ± 3.39; placebo group, 2.23 ± 4.20) showed a significant difference between the two groups (p = 0.041). Physical activity, dietary intake, and biochemical parameters showed no significant difference between the groups. The results confirmed that collagen peptide supplementation had a beneficial effect on body fat reduction in older adults aged ≥ 50 years with daily physical activity level. Thus, collagen peptide supplementation has a positive effect on age-related changes.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 추계학술대회논문초록집
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• pp.336.2-336
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• 2002

There are many researches to identify the rigid body properties from the mass-line obtained by impact hammer testing. The correct rigid body properties of the structure may be estimated if the mass-line of the structure could be obtained exactly. When the structure is mounted by elastic materials, the mass-line cannot be read correctly from the impulse response spectrum. The reason is due to the effects of rigid body modes of mounted structure. (omitted)

• 문화기술의 융합
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• 제5권4호
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• pp.413-420
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• 2019

본 연구의 목적은 기존의 body fat mass 변수와 고콜레스테롤혈증의 연관성연구를 벗어나, 머신러닝기법을 기반으로 body fat mass 변수들의 조합을 이용하여 고콜레스테롤혈증 예측 모델을 개발하는 것이다. 이러한 연구를 위하여 국민건강영양조사 데이터를 기반으로 두 가지 variable selection 메소드와 머신러닝 알고리즘을 이용하여 총 6개의 모델을 생성하였고 질병 예측력을 비교분석하였다. 여러 body fat mass 관련 변수들 중에서 몸통지방량 변수가 고콜레스테롤혈증 예측력이 가장 우수한 변수인 것을 밝혀내었고, 머신러닝 기반 예측모델들 중에서 correlation-based feature subset selection 기반 naive Bayes 알고리즘을 이용한 모델이 0.739의 the area under the receiver operating characteristic curve 값과 0.36의 Matthews correlation coefficient 값을 얻었다. 이러한 연구의 결과는 향후 국내외 대규모 스크리닝 및 대중보건 연구에서 질병예측분야의 중요정보로 활용될 것으로 예상한다.

• 대한한방소아과학회지
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• 제28권2호
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• pp.1-22
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• 2014

Objectives The purpose of this study is to investigate the relationship between weak children and growth indices. Methods One hundred twenty-six of the first and the second grade elementary school students who didn't have to develop yet their secondary sexual characteristics answered the questionnaire. Their bone age and body composition were measured. Results 1. According to the Weak Children questionnaire analysis, respiratory problem was one of the biggest problems in the weak children group (35.7%), followed by digestive problems (23.0%), psycho-neurological problems (22.2%), neuromotor problems (9.5%), and urogenital problems (8.7%). 2. From the comparison between growth indices of weak children and that of normal children are as follows: 1) The group of children who had problem in their digestive system had lower growth indices than the normal average children group. The growth indices includes mean height, weight, total body water, protein mass, mineral mass, body fat, skeletal muscle mass, body fat percentage, body mass index (BMI), and basal metabolic rate (BMR). 2) The children who had urogenital weakness had lower mean height, RH (Recent Height), RH - MPH {Recent Height(%) - Mid-Parental Height(%)}, RUS (Radius, Ulna and Short bone) score, weight, protein mass, body fat, BMI, and visceral fat than the normal children group. 3. The results of the multiple comparisons of growth indices and weak children groups are as follows: 1) Digestive weak children were the lowest in total body water, protein mass, mineral mass, skeletal muscle mass, and basal metabolic rate. 2) Urogenital weak children were the lowest in height, RH, RH - MPH, RUS score, and weight. Conclusion These results showed that children's growth is strongly correlated to their own growth problems, especially to those children who have digestive and urogenital problems. Therefore, this may be an effective way for children growth treatment in Korean medicine to treat weak symptoms.

• 대한한방부인과학회지
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• 제20권2호
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• pp.164-175
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• 2007

Purpose: The purpose of this study was to investigate the relationships between the herbal medicines used for women in puerperium on postpartum care, Kami-Saenghwatang(SHT) and Kami-Bohertang(BHT) and postpartum body composition change. We also examined the influence of gestational age, the number of parity and the route of delivery for gestational weight gain and postpartum weight loss. Methods: 239 women followed by postpartum care center. Variety factor s were conformed and then checked body composition analysis. 8 weeks later, we followed up body composition of 36 women among the former checked. and additionally asked the body weight of another 42 former checked women by telephone call. Results: $Mean{\pm}S.D$(standard deviation) of pre-pregnancy weight is $55.22{\pm}8.98kg$, $Mean{\pm}S.D$ of gestational maximun weight is $69.26{\pm}9.77kg$, $Mean{\pm}S.D$ of weight loss in postpartum 8 weeks(means sub-tract postpartum 1 week weight from postpartum 8 week weight) is $57.86{\pm}8.60kg$. The number of parities had corrrelation with gestational weight gain. Age, number of parities and route of delive were not significantly correlated with postpartum weight loss during 8 weeks after delivery, and also it was not correlated with body water mass, body fat mass, body mass index and body weight on postpartum 8 weeks whether they treated with SHT and BHT. conclusion: It was not correlated with body water mass, body fat mass, body mass index and body weight on 8 weeks postpartum whether they treated with SHT and BHT.

• 한국환경생태학회지
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• 제28권2호
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• pp.105-112
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• 2014

포란 기간 동안에 대양성 바다새들은 기아생태로 포란함으로써 커다란 몸무게 변화를 겪는다. 포란 동안에 몸무게의 심각한 변화를 겪는 슴새목 조류에서, 몸무게 조절은 포란 기간 동안에 그들의 포란 행동을 결정하는 중요한 요소로 작용할 것이다. 이 연구는 2013년 6월부터 8월까지 제주특별자치도 제주시 추자면에 위치하고 있는 무인도서인 사수도에서 번식하는 슴새를 대상으로, 포란 기간 동안 개체의 몸 크기, 몸 상태 그리고 포란 행동이 그들의 몸무게 조절에 어떠한 영향을 주는 지를 연구하였다. 연구결과를 보면, 포란하는 슴새 개체의 일별 몸무게 감소량은 그들의 몸 크기나 몸 상태와 관계가 없었으나, 둥지 내에서 포란 시도 횟수가 증가함에 따라 일별 몸무게 감소량도 증가하는 경향을 보였다. 또한, 몸 크기가 큰 개체일수록 일별 포란 시도를 많이 하는 경향을 보이고 있었다. 결과적으로 포란하는 개체의 몸 크기와 몸 상태는 그들의 일별 몸무게 감소와 관계가 없었지만, 일별 몸무게 감소량에 영향을 주고 있는 포란 시도 횟수는 그들의 몸 크기에 따라 조절되고 있었다. 따라서 포란 기간 동안에 번식 개체들의 몸 크기는 그들의 포란 행동을 결정하는 중요한 요소 중에 하나로 작용하고 있다.

• 한방비만학회지
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• 제5권1호
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• pp.47-56
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• 2005

Objectives : This study was performed to investigate the change of bone mineral density(BMD) after 1 month Kirindiet therapy including very low calory diet(VLCD) in middle-aged obese women$(65>age{\geqq}40,\;BMI{\geqq}25)$ under normal $BMD(T-score{\leqq}0)$. Methods : We examined body weight, body fat, protein mass and BMD of 13 middle-aged obese women who visited to Kirin Oriental Hospital from Sep. 7. 2004 to Oct. 12. 2005 before and after 1 month Kirindiet therapy. Body weight, body fat and protein mass was checked by Inbody 4.0 and BMD was checked by quantitated computed tomography. Wilcoxon signed rank test was used for analyzing changes of body weight, body fat, protein mass and BMD before and after treatment. Results : Alter 1 month treatment body weight(-4.89Kg, -6.74%, p=0.001), body fat(-3.47Kg, p=0.001) and protein mass(-0.97Kg, p=0.006) was significantly reduced. BMD was significantly increased in all cases(+4.87mg/cc, +4.16%, p=0.001). Though body weight, body fat and protein mass were significantly reduced, BMD was significantly increased(p<0.01). Conclusions : In this study, we can conclude that after 1 month Kirindiet therapy including VLCD, BMD in middle-aged obese women under normal BMD was significantly increased inspite of reduction of body weight, body fat and protein mass.

• 대한물리의학회지
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• 제16권1호
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• pp.33-39
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• 2021

PURPOSE: This study compared the body composition according to the sport of short-distance and middle & long-distance athletes to identify the factors that affect the body composition. METHODS: Forty-eight athletes selected as youth national athletes in 2019 participated in the study. The study participants measured the length of the lower extremities, body composition, and anaerobic ability. An independent sample t-test was conducted to compare the body composition according to the event. In addition, the Pearson correlation was performed to identify the factors that influence the body composition. RESULTS: The leg length of the Short and Middle & long-distance athletes were similar (p = .584). On the other hand, there were differences in the body fat percentage (p = .001), lean percentage (p = .001), and BMI (p = .001). In addition, the body fat percentage was correlated with the lean body mass (r = .419) and BMI (r = .447). Furthermore, the lean body mass was correlated with the BMI (r = .849) and the peak power (r = .662) and mean power (r = .686) of the anaerobic capacity. Moreover, the BMI was correlated with the peak power (r = .490) and mean power (r = .543) of the anaerobic capacity. The peak power of the anaerobic ability was correlated with the mean power (r = .931). CONCLUSION: The body composition differed according to the sport. The body fat percentage correlated with the lean body mass and the BMI. The lean body mass correlated with the BMI, peak power of anaerobic ability, and mean power. The BMI correlated with the anaerobic capacity.