• Journal of the Korean Society of Food Science and Nutrition
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• v.32 no.5
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• pp.715-722
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• 2003

This study is to investigate effects of green tea and capsulated components mixture on body fat and serum lipid composition and fat distribution in college women students in terms of supplemented periods. During 3 months of this research, 34 college women students (average age 20.3 yr) were selected as subjects. Nutrient intake was investigated by questionnaire and 24-hr recall method. Anthropolatric assessments of the subjects were investigated by SBIA method (Segmental Bioimpedance Assay, Inbody 3.0). The results were as follows: mean body height was 162.5cm and mean body weight and mean BMI (Body Mass Index, kg/$m^2$) were 57.9kg and 21.9, respectively. Status of carbohydrate intake decreased significantly (p<0.05) and dietary fiber intake increased significantly (p<0.001) after supplementation. WHR (waist-hip ratio) decreased significantly (p<0.05) and body fat and percent body fat decreased significantly after supplementation (p<0.05). Total cholesterol and triglyceride decreased significantly after supplementation (p<0.001). Above results of this study show that green tea, silk peptide and dietary fiber supplementation-added routine diet improves body fat distribution, total cholesterol, triglyceride. Especially, declination of abdominal fat and WHR was notable, since that means diminution of risk factors for obesity and chronic degenerative diseases.

• Journal of Animal Science and Technology
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• v.55 no.5
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• pp.373-380
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• 2013

The study aimed to develop prediction models of primal cut yield using body measurements of Hanwoo steers in Korea. The progeny of 874 steers at Hanwoo Improvement Main Center from 2008 to 2010 were recorded. Pearson's correlation coefficients for primal cuts and other traits were estimated. Primal cuts were adjusted for slaughter date and age using the SAS GLM procedure. Afterwards, a stepwise regression was performed on each primal cut by fitting body measurement traits. An independent covariable was selected at the highest coefficient of determination with the greater fitness model using Mallows's Cp statistic. Results showed that primal cuts were significantly influenced by slaughter date (P<0.01). The age at slaughter, however, was only significant for the top round (P<0.05). There was a moderate to high correlation between chest girth and tenderloin (0.54), loin (0.74), and rib (0.80). Most primal cut percentages were negatively related to BFT. Similar negative to low positive correlations were observed for primal cut percentage and body size traits. In addition, a correlation of 0.21 was observed between rib percentage and chest girth. The regression of body measurements on the adjusted primal cuts were significant for later traits. Regression estimates revealed that wither height, body length, rump length, hip bone width, and chest girth are important for primal cut weight and percentage determination. In particular, chest girth was always important for primal cut weight estimates.

• Clinical and Experimental Pediatrics
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• v.48 no.8
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• pp.857-864
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• 2005

Purpose : The objectives of this study was to evaluate the correlations between the indices of insulin sensitivity using fasting glucose and insulin level, and the body fat mass measured by bioelectrical impedance analysis(BIA) and dual energy X-ray absorptiometry(DEXA), and to determine the clinical usefulness of insulin sensitivity indices when obese children were followed up. Methods : In this study, 28 simple obese children and adolescents were included. Anthropometric data including body weight, height, obesity degree(OD), body mass index(BMI), and waist-to-hip ratio were collected and then body fat mass was measured by using BIA and DEXA. For metabolic data, 12 hour fasting serum glucose, insulin and lipid profiles were measured and indices for insulin sensitivity(G/I ratio, $log_{insulin}$, HOMA-IR, $log_{HOMA-IR}$, QUICKI) were calculated. Results : BMI had a higher correlation with insulin sensitivity indices than OD(G/I ratio, -0.463 vs -0.209; $log_{insulin}$, 0.417 vs 0.196; HOMA-IR, 0.301 vs 0.238; $log_{HOMA-IR}$, 0.403 vs 0.198; QUICKI, -0.451 vs -0.224). But OD had a higher correlation with body fat mass measured by BIA and DEXA than BMI(BIA, 0.612 vs 0.316; DEXA, 0.667 vs 0.512). The G/I ratio was correlated with body fat mass in BIA(r=-0.420, P<0.05) and DEXA(r=-0.512, P<0.01), percentage of body fat(percentage of fat) in BIA(r=-0.366, P<0.05) and DEXA(r=-0.449, P<0.01). HOMA-IR was only correlated with body fat mass in DEXA(r=0.341, P<0.05). Conclusion : This study revealed that G/I ratios had a statistically significant correlation with anthropometric obesity indices(OD and BMI) and also had a correlation with both body fat mass and percentage of fat. These results suggest that G/I ratios could be used as useful index when obese children and adolescence are followed up.

• Journal of Nutrition and Health
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• v.40 no.6
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• pp.517-525
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• 2007

This study was performed to assess the effects of physiological factors and lifestyles on bone mineral density (BMD) in 64 postmenopausal women. Sixty four subjects were selected out of 223 postmenopausal women in Seoul and Kyunggido. The BMD of the lumbar spine (L2 ${\rightarrow}$ L4) and femoral neck were measured dual energy X-ray absorptiometry (DEXA). Subjects were assigned to one of three groups such as normal (T-score > -1, n = 20), osteopenia (-2.5 < Tscore ${\leq}$ -1, n = 24), and osteoporosis (T-score ${\leq}$ -2.5, n = 20). Anthropometric measurements and questionares were administered to these women. The mean age, height, weight and BMI were 62.09 yrs, 153.78 cm, 56.09 kg and 23.70 $kg/m^2$ respectively. The BMDs of lumbar spines (L2 ${\rightarrow}$ L4), femoral neck were 0.84 $g/cm^2$, 0.71 $g/cm^2$ respectively. Years after menopause and age of last delivery of the osteoporosis and osteopenia group were significantly longer than the normal group (p < 0.05). The hours of exercise and outdoor activity of the normal group were longer than the osteoporosis and osteopenia group, but there were no significant differences among the three groups. The BMDs of these two sites were positively correlated with weight, BMI, hip and body fat and negatively correlated with LBM, TBW. These results show there are no consistent effects on bone mineral density, adjusting for age and BMI, of physiological factors and lifestyles in postmenopausal women. Therefore. this study confirmed that one of the most effective ways to minimize bone loss in postmenopausal women would be to maintain an adequate body weight.

• Journal of the East Asian Society of Dietary Life
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• v.12 no.5
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• pp.352-363
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• 2002

The purpose of this study was to analyze health-related habits, weight control experience and body composition of 344 female students visiting nutrition counselling office. Dietary habits of the subjects were assessed by means of interview with questionnaire and nutrient intakes were evaluated by the simple dietary assessment method. Weight and height were measured to get body mass index(BMI) and waist-hip ratio and their body composition were measured by Inbody 3.0. The obtained results were as follows: 1) Among students, 14.5% were exercising on a regularly basis, of which the exercises were walking and gymnastic exercise(22.1%), jogging(14.1%), and rope-skipping(4.7%), 48.4% of students were little drinking and 30.5% were once a week and smokers were 4.1%. 2) 28.3% of students were little having breakfast and 15.1% were once or twice a week. Two third of total students were not having breakfast regularly. Also only 59.6% of students were having dinner everyday, which means many of them were even skipping dinner. The reasons why they were not having breakfast were because they don't have enough time to eat(66.0%) and for a diet(2.8%) and the reasons for skipping dinner were because they were not hungry(23.0%), for the weight loss(18.2%). It was shown that they would skip dinner rather than breakfast for a weight control. 51.6% of students were taking snack 1~2 times a day and 5.3% were having little snack. 55.4% of students were dining out once a day and 15.4% more am 2 times a day. 3) 46.7% of students were already experiencing weight control before visiting the counselling office. 78.5% of students tried on one kind of weight control method, 11.4% on two kinds, and 10.1 % on more than three kinds. The method they tried for a weight control most was the one food diet using egg, fruits and beans, which is the most popular among them, and the next were an aerobic exercise(23.6%). a diet tried by a famous entertainer (15.5%), and the fasting(14.5%). 4) The average BMI was 21.2 and the body fat rate was 28.1%. As a result of grouping BMI, 12.8% were underweight 67.6% normal weight 11.6% overweight and 8% obesity. Less than standard for the body fat rate were 0.6%, 50.6% standard, 48.5% more than standard. 49.2% of students as normal weight on a BMI were assessed the so-called "skinny obesity. 50% of consulted students situated fat intra-abdominally at the umbilical level(WHR>0.8). 5) The energy intake was 76.6$\pm$17.8% of RDA and constituent ratio of carbohydrate, fat and protein were 64.2$\pm$5.2%, 21.6$\pm$3.7% and 14.3$\pm$2.3%, respectively, which is little over of 20% of recommended ratio of fat. Protein and niacin intake were more than 90% of RDA and riboflavin and vit. C were taken more than 100% of RDA. But Fe intake was 69.4$\pm$19.3%, Ca 76.6$\pm$23.6%, which were the least constituents. There was not remarkable significance between energy intake and nutrient density based on the groups of underweight, normal weight, overweight and obesity of BMI. 6) It was shown that body fat rate had remarkably significant correlation(p<0.000) with BMI(r=0.760) and WHR(r=0.817) respectively, but body fat rate was more correlated with WHR than with BMI. There was not much significant difference between body fat rate and WHR whether they exercised or not. However. BMI was significantly higher in the exercise group because one who showed higher BMI started to exercise since they looked fat in appearance and perceived as they were fat. fat.

• Research in Community and Public Health Nursing
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• v.15 no.4
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• pp.587-599
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• 2004

Purpose: The purpose of this study is to compare abdomen-fat rate, life style and social-support between normal weight women and obese women. Method: 304 women objectives from their 30 to 59 years of age were selected living in Je-chon city, Chung-Buck province and their height and weight were measured from April 1st to June 30th, 2003. Data were classified into low-weight group ($18.5kg/m^2$), normal-weight group ($18.5{\sim}22.9kg/m^2$), over weight group ($23{\sim}24.9kg/m^2$), and obese group ($25kg/m^2$) following the Korean Conference of Obesity, 2001. in which 119 people in the normal weight group and 91 people in the obese group, i.e. total 210 people were analyzed in sequence. Using SPSS Win 10.1 Program, frequency and percentile, and by ANOVA, $X^2-test$ and t-test were treated. Results: The average age of obese women was 46.68 distributing 40.7% of forties and 39.6% of fifties while normal-weight women were average 41.73-year old distributing 53.8% of forties and 34.5% of thirties, which revealed aged in obese women. The body fat rate of obese women averaged $37.52{\pm}4.17%$, in which 98.9% of obese women and 21.0% of normal weight women with a more than 30% of body-fat rate resulted in a higher body-fat rate in obese women. The waists of obese women averaged $88.37{\pm}8.22cm$, in which more than 85cm showed in obese women of 68.2% and normal weight women of 7.6% indicating a higher waist-fat rate in obese women. The abdomen-fat rate of more than 0.85 of waist vs hip-fat showed 74.7% in obese women and 58.4% in normal weight women, indicating a higher abdomen-fat rate in obese women. Obese women and normal weight women showed significant differences in education level, number of children, religion, menstrual status, and mother's weight. Especially, obese women ate hotter or saltier food than normal weight women preferring meat. However, no significant differences appeared in marital status, social economic status. occupation. eating habits. smoking. drinking and physical exercise. Social support levels showed a lower rate in obese women than in normal weight women, indicating a statistically significant difference (p<.05). Observing areas of social support, obese women showed lower rates in attachment/intimacy, social integrity, opportunity of foster and confidence in value except help and instruction, which indicated a statistically significant difference (p<.05). Social support for obese women showed significant differences in age, education level, social hierarchy, religion and menstrual status. Obese women were more negative than normal weight women in health recognition, indicating a statistically significant difference (p<.01). Normal weight women showed higher health recognition when provided high social support and significantly low (p<.01) health recognition when provided low social support. However, there was no significant difference in health recognition in obese women whether high or low social support was given. The health recognition of obese women showed significant differences in age, education level, social hierarchy, number of children, menstrual status, physical exercise, eating habits, eating taste and preference of food. Conclusion: Obese women showed elder than normal-weight women, higher body-fat rate and abdomen-fat rate, lower social support, and a tendency to more negative health recognition. Therefore, providing weight-control programs for the treatment of obesity and prevention of recurrence for obese women to prevent progressing to adult disease and promote a healthy life, we suggest that better eating habits and the encouragement of regular physical exercise should be included, as well as total approachment on change of health recognition and social support would be needed.

• The Korean Journal of Food And Nutrition
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• v.28 no.2
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• pp.228-240
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• 2015

This study was conducted to investigate the dietary and other factors affecting bone mineral density (BMD) in older Korean women. A total of 340 women aged 65 to 74 were recruited from the Kugoksoondam area (Kurye, Goksung, Soonchang and Damyang counties), known as the longevity-belt region in Jeonla province, Korea. They were categorized into two groups according to bone status by T-score : a nonosteoporotic group and an osteoporotic group. Demographic characteristics were collected, as well as information on physical measurements, blood tests for biochemical indicators, health status health-related life style, dietary behavior, favorite food groups, nutrient intake and mini nutrition assessment (MNA). The results are as follows: The mean age of 185 nonosteoporotic women was 69.6 years and that of 155 osteoporotic women was 70.9 years (p<0.001). The mean T-score of the nonosteoporotic group was $-1.5mg/cm^3$ and that of theosteoporotic group was $-3.2mg/cm^3$ (p<0.001). Height and body weight in the nonosteoporotic group were significantly higher than in the osteoporotic group (p<0.001, respectively). There was no significant difference in BMI, although the BMI in the nonosteoporotic group was slightly higher. Waist and hip circumferences in the nonosteoporotic group were significantly higher than in the osteoporotic group (p<0.01, respectively), and the mid upper arm and calf circumferences were also significantly higher than in the osteoporotic group (p<0.001, p<0.01, respectively). The 5 m walking ability was significantly superior compared to the osteoporotic group. Serum levels did not show any significant differences between the groups and were within normal range. The serum total protein, albumin and Insulin-like growth factor (IGFs) levels of the nonosteoporotic group were significantly higher than those of the osteoporotic group (p<0.05, p<0.05, p<0.001, respectively). IGF was 104.7 ng/mL for the nonosteoporotic group and 88.1 ng/mL for the osteoporotic group. Physical activity and appetite in the nonosteoporotic group were significantly higher (p<0.01, p<0.05, respectively). The favorite food groups of the nonosteoporotic group comprised more meats and fish than those of the osteoporotic group (p<0.05, respectively). Nutrient intake was not significantly different, with the exception of niacin intake (p<0.05), but the nutrient intake of the nonosteoporotic group was slightly higher than that of the osteoporotic group. The niacin intake of the nonosteoporotic group and the osteoporotic group were 11.4 mgNE and 10.0 mgNE, corresponding to 103.6% and 90.9% of the Korean EAR, respectively. The MNA score of the nonosteoporotic group was significantly more favorable than for the osteoporotic group. In conclusion, it is necessary to maintain adequate body weight and muscle mass. Habitual physical activity may have a beneficial effect on BMD for older women. Dietary factors, such as meat and fish, higher intake of niacin rich foods and nutrient status for older women also appear to have favorable effects on bone mineral density.