The purpose of this study was to classify body type for ready-to-wear sizes. The subjects were 300 women ages of 18-24. they were measured direct anthropometry. The body types for sizing system were divided by Rohrer Index. KS drop value and ISO drop value. The results of this study were as follows. 1. By adapting the Rohrer Index. we classify 3 types from anthropometric measurements. The thin type covered 39.3%, the standard type 51.0% and the obesity type 18.7%. The characteristics of clusters were as follows. Thin type was characterized by tall. slender type and slim. The standard type was characterized by middle sized. The obesity type was characterized by short. fat type. and large bust. 2. By adapting the KS system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 25.6%. the N type(drop 6) 65.2% and the A type(drop 12) 9.2%. Type H was slightly tall large bust. and curved from waist to hip. Type A was slightly thin. large hip and smaller bust than type N. Principal factor components were bust size. The height could be divided into three groups. The Petite(l50cm) covered 5.5%. the Regular(l60cm) 64.7% and the Tall(l70cm) 29.8%. Through the crosstab of height and body type. we extracted regular height by N type 46.2% the largest cell. The body type was the higher order of N type. H type and A type. The tall was the higher order of Regular. Tall and Petite. 3. By adapting the ISO system drop value. we classify 3 types from anthropometric measurements. The H type(drop 0) covered 15.0%. the M type(drop 6) 41.0% and the A type(drop 12) 44.0%. Type H was slightly short. slightly fat and large bust. Type A was slightly tall. slight thin than type M. The height could be divided into three groups. We adjust the height section after allow for height distribution. The Short(152cm) covered 12.8%. the Regular(160cm) 66.9% and the Long(168cm) 20.3%. Through the crosstab of height and body type, we extracted regular height by M type 29.3% the largest cell. The body type was the higher order of M type, A type and H type. The tall was the higher order of Regular, Long and short.
The effects of spirulina-added salad dressing on lipid profiles and antioxidant biomarkers such as total glutathionine, TBARS value, carbonyl value, GPx, GR, SOD and paraoxonase activity in plasma or liver of mice were evaluated Sixteen male ICR mice weighing 20$\pm$2 g were divided into two groups and fed low fat ($5\%$ fat) diet (low fat control: LFC) and low fat control plus dressing diet (LFD) for eight weeks. Body weight, tissue weights of liver, heart and kidney, and the distribution of body fat deposition were not significantly different between two groups. Also, the profile of TG, TC, LDL and HDL cholesterol were similar between two groups. The DNA damage was determined using the comet assay (single cell gel assay) with alkaline electrophoresis and quantified by measuring tail length (TL). Spirulina salad dressing consumption resulted in significant decrease in lymphocyte DNA damage expressed by TL (LFC: $28.8{\mu}m$, LFD: $20.3{\mu}m$). Additionally, salad dressing consumption for 8 wks decreased the lipid peroxidation assayed by TBARS to $12.6\%$ compared with the control. The levels of antioxidant vitamins such as $\beta$-carotene were significantly higher in plasma of LFD group than those in LFC group based on HPLC method This study shows that spirulina-added salad dressing exerts degenerative disease-protective effects on oxidative DNA damage and lipid peroxidation possibly via a free radical levels.
Objectives Bangpungtongsungsan is an herbal medicine that treats obesity and dampness-phlegm. The aim of this study was to investigate the efficacy of Bangpungtongsungsan on insulin resistance induced by non-alcoholic fatty liver disease. Methods Male 6-week-old C57BL/6 male mice were divided into four groups: control group (Ctrl), high fat diet group (HFF), high fat diet with Bangpungtongsungsan extract administration group (BT1), and high fat diet with double concentration of Bangpungtongsungsan extract administration group (BT2). Each 10 mice were allocated to each group (total of 40 mice). All mice were allowed to eat fat rich diet freely throughout the experiment. To examine the effect of Bangpungtongsungsan, we observed weight changes, lipid blot distributions, PGC-1, $p-I{\kappa}B$, 8-OHdG, p-JNK, total cholesterol and glucose levels. Results Comparing of body weight measurements between 4 groups, weight gain was significantly lower in BT1 and BT2 group than the HFF group. The distribution of lipid blots and positive reaction of PGC-1 were significantly lower in BT1 and BT2 group. The positive reaction of $p-I{\kappa}B$ and 8-OHdG in hepatic tissues was significantly lower in BT1 and BT2 group. The positive reaction of p-JNK in hepatic tissues was significantly lower in BT1 and BT2 group. Total cholesterol and glucose levels were significantly lower in BT1 and BT2 group. Conclusions Bangpungtongsungsan has the effect of improving non-alcoholic fatty liver induced insulin resistance through regulation of lipid metabolism.
This paper proposed the sizing system for women's upper clothes in order to improve clothing fitness and raise the productivity. The sizing system was classified according to 5 body types and 5 age groups. The size intervals of the basic dimensions were established at regular intervals centering around their means. The size interval of stature was 8cm centering around 158cm and that of bust girth 4cm centering around 84cm and that of hip girth 4cm centering around 92cm. Frequency distribution on the size of upper clothes showed that the most frequent size were 96-96-150 in the longest-fattest type, 88-96-158 in the long-fatter type, 84-92-158 in the medium length-fat type, 84-92-166 in the Short-balanced type, and 76-88-158 and 80-88-158 in the medium length-balanced type. The number of the sizes of upper clothes, which had frequencies more than 5%, was 32 and each size was presented with waist girth, back waist length and sleeve length. The size system classified by age group had 22 cases in the early twenties, 15 cases in the late twenties, 21 cases in the early thirties, 19 cases in the late thirties, and 15 cases in the forties.
Obesity is excess body weight, defined as a body mass index (BMI) over 30 kg/m2. or 20% over than relative body weight (RBW). We can consider the surface temperature of obesity patients is related with fat distribution and differs from that of non obesity people. The temperature is measured by using Digital Infrared Thermal Imaging(DITI). DITI was taken on 109 people without any specific disease. Among those subjects, obesity group is 77 and non obesity is 32. We measured the surface temperature by describing regular square on the upper arm, lower arm, palm, upper leg, lower leg, foot, upper abdomen and lower abdomen. The temperature of upper leg, upper abdomen and lower abdomen was low (p<0.001) and that of palm and foot was high (p<0.05) in obesity group. The temperature and the difference of lower arm to palm and lower leg to foot correlated with RBW. These results suggest the surface temperature in obesity group differ remarkably from that in non obesity group.
The purpose of this study was to investigate the relationship among nutrient intake, life style, and serum lipids level in 108 healthy middle-aged men in Taegu. A convenient method was to assess nutritional intake. Anthropometric measuement of body weight and hight were measured and average energy expenditure was calculated. The mean body mass index(BMI) was 22.8$\pm$2.4 and it was in the middle of the mean BMI of Korean men. Obesity rate of study subject were 13.2%. Daily energy intake was not sufficient as 88.4% of recommended dietary allowances and the energy percentage of carboydrate, fat protein was 65 : 21 : 14. Mean intake of vitamin A, B1, C and Ca were lower than RDA. There was a highly significant negative correlation between the systolic blood pressure and calcium intake(r=-0.28, p<0.05). Smokers showed significantly higher blood glucose than non-smokers. Skipping meals and uneven diurnal distribution(no breakfast and large evening meals) are associated with high triglyceride level in this population. There was a highly significant correlation between body weight and plasma lipids. Energy expenditure was negatively correlated with plasma triglyceride level. Especially, atherogenic index was significantly lower in job-time physically active worker than that in sedentary worker. Above data provides valuable imformation to the community for program planning as well as to health providers who work individual male adults to meet their nutrition needs and to control blood lipids.
With a view to providing the basic data of clothing manufacturing for Chinese women in their 20s residing in Ningbo City, Zhejiangsheng, China, this study analyzes their upper-body types. With the subjects of 192 female adults(age 20 to 29), the following conclusions were made: 1. According to the Chinese standard classification, all body types except C were seen: A(58.33%), Y(40.63%), and B(1.04%). 2. According to the Korean standard classification, body types appeared in the order of H(68.75%), N(29.17%), and A(2.08%). 3. $R\ddot{o}hrer$ index was 1.23 belonging to the ordinary somatotype. The distribution was ordinary(60.42%), slim(38.54%), and fat(1.04%). 4. The subjects were 158.62cm(height), 83.54cm(bust), 65.77cm(waist), and 87.50cm(hip). 5. No significant differences were noticed in all the items except waist breadth around age 24. 6. Compared with Korean counterparts, Chinese females were a little shorter, had bigger bust, similar waist, and smaller and flatter hips. 7. Seen in the side somatotype classification, a standard body type was revealed with $24.50^{\circ}$ of a slightly-leaning shoulder gradient. 8. Seven factors were produced in the present analysis, and five body types in the group analysis turned out to be standard.
The purpose of this study was to develop a computerized software program to help for reproductive management in dairy cows. The developed software program in the study is compatible with a window 95/98 or XP system. Data in the system were recorded, stored, and processed from two sources: 1) Data downloaded monthly from the database of the Korean Dairy Herd Improvement Association (milk yields, milk somatic cell counts, milk fat, protein, lactose and urea nitrogen content). 2) Data recorded by the farmer or veterinarians by the time (body condition score, heats, inseminations, veterinary diagnosis and treatments). These data indices after processing by computerized dairy management system were presented by numerical or graphical display. The presented data were obtained from three dairy farms with more than 50 milking cows. The presented reports of this program using milk fat, protein, urea nitrogen, and somatic cell counts enabled the dairy producer and veterinarians to monitor the protein-energy balance and feeding management practice, and for distribution of diseases (mastitis, metabolic and reproductive disorder) in individual cows. The presented analytical reports of this program also included herd average of reproductive indices such as day to first insemination, days open, and inseminations per conception. This software program will assist in analysis, interpretation and demonstrate the results of reproductive trials conducted in dairy herds.
Relationships between red ceil volume $(^{51}Cr-cell)$, total blood volume (red cell volume divided by hematocrit ratio), and extracellular fluid volume (SCN distribution space) and body weight (ranging between 73 and 384 grams) or lean body mass were studied in 59 nembutalized rats. Lean body mass was determined by means of underwater weighing method on rats clipped and eviscerated. There were positive correlations between body weight or lean body mass and the absolute values (in milliliters) of body fluid volumes. Body fluid volumes expressed on the body weight or lean body mass basis, however, showed negative correlations between body weight (grams) or lean body weight (grams) with one exception. Red cell volume expressed as % lean body mass showed a positive correlation with lean body mass. The other results are summarized as follows: 1. Body density of rats was 1.0561 $(range:\;1.0123{\sim}1.0781)$ and 19.8% body weight of total body fat was obtained. The mean value of lean body mass was 80.2% body weight 2. The correlation between body weight and lean body mass was high, namely, coefficient of correlation was r=.99. 3. The correlation between the absolute value of red cell volume (ml) and body weight showed a high correlation, namely, r= 92 and between the lean body mass coefficient of correlation was r=.93. On a weight basis, red cell volume was 2.67 ml/100 gm body weight or 3.48 ml/100 gm lean body mass. The coefficient of correlation between body weight (grams) and red cell volume (% body weight) was r=-. 30. The coefficient of correlation between lean body mass (grams) and red cell volume (% lean body mass) was r=. 50. Thus, the following regression equation was obtained. Red cell volume (% lean body mass)=. 00243 Lean body mass (gm)+3. 12. 4. Total blood volume was 6.06% body weight or 7.83% lean body mass. The correlation between these blood volume values and body weight or lean body mass were negative, namely, r= -.43 and r=-.42 respectively. 5. Extracellular volume (SCN space) was 30.0% body weight or 37.2% lean body mass. These percentage values showed negative correlations between body weight or lean body mass and coefficients of correlation were r=-.40 and r=-.54 respectively. 6. The rate of increase in body weight or lean body mass is accompanied by a smaller rate of increase in blood volume and extracellular fluid volume. The rate of increase in red ceil volume paralled that of lean body mass.
Objectives : The purpose of this study is to evaluate the effect the of treatment in obesity clinic in east-west collaboration center, furthermore to search for how to join and improve east medicine and west medicine more closely. Methods : 37 patients were classified into four groups by Body Mass Index(BMI); normal, overweight, 1st obesity and 2nd obesity groups. Weight, BMI, body fat rate and abdominal fat rate were compared in each group by paired t-test. Results & Conclusions : In distribution of sex, male were 10(27%), female were 27(73%). Mean age was $34{\pm}13$ and the patients in twenties un the most. Among four groups, the number of End obesity groups was the most. Most patients had a preference for western medication and ear acupuncture therapy. In general we could find the correlation between the effect of obesity treatment and the degree of obesity. The more the obesity degree was, the more weight loss was.
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