The main purpose of this study is to derive a regression equation that predicts the individual differences in activity energy expenditure (AEE) using accelerometer during different types of activity. Two subject groups were recruited separately in time: One is a homogeneous group of 94 healthy young adults with age ranged from $20\sim35$ yrs. The other subject group has a broad spectrum of physical characteristics in terms of age and fat ratio. 226 adolescents and adults of age ranged from $12\sim57$ yrs and fat ratio from $4.1\sim39.7%$ were in the second group. The wireless 3-axis accelerometers were developed and carefully fixed at the waist belt level. Simultaneously the total calorie expenditure was measured by gas analyzer. Each subject performed walking and running at speeds of 1.5, 3.0, 4.5, 6.0, 6.5, 7.5, and 8.5 km/hr. A generalized sensor-independent regression equation for AEE was derived. The regression equation was developed fur walking and running. The regression coefficients were predicted as functions of physical factors-age, gender, height, and weight with multivariable regression analysis. The generalized calorie estimation equation predicts AEE with correlation coefficient of 0.96 and the average accuracy of the accumulated calorie was $89.6{\pm}7.9%$.
This study was performed to identify nutritional status and eating behaviors of underweight male adolescents aged 15 to 19 years. The subjects selected by using the data of KNHANS-2001 were 32 underweight boys and 135 normalweight ones. We found that weight, waist and hip circumference of the underweight group were significantly different to normal-wight group, but height and waist-hip ratio were not. Their serum indices belonged within normal ranges and showed no difference between the two groups. Their energy and nutrient intakes were mostly poor. The level and proportion of the subjects below EAR, NAR and INQ of each nutrient were not significantly different between the two groups. There were no difference of frequencies of skipping meals, snacking and eating-out between the two groups, either. When comparing frequencies of food intakes, the underweight group consumed significantly more of fermented fishes and less milk than the normal-weight group. And the former had significantly more rest/sleep, no-does and supplementation and less regular excercise than the latter. The underweight group perceived more correct self-images than the normal-weight group and they tried more to increase their body weight during weight control practice (p<0.001). It was concluded that the underweight group showed no different biochemical indices, nutrient intakes, and dietary behaviors to the normal-weight group, but they revealed significantly higher non-active activities like rest and supplementations.
This study was an attempt to investigate various factions, such as the calorie, nutrient intake, physical activity, blood lipids, obesity prevalence and body fat distribution on NIDDM male diabetics. General characteristics, physical activity and exercise levels of subjects were invesigated by interviewing, daily calorie and nutrient intake were measured by convenient method. The following anthropometric measurements were made on all participats : weight, height. Also waist and hip circumference were measured on 174 male diabetics to get waist-to-hip circumference ratio as index of the body fat distribution. For measurement of plasma lipids, 12-hour fasting blood samples were drawn The results of this study were summarized as follows : 1. At the onset of diabetes, the major self-diagnosed symptoms were polydipsia, fatigue, and body weight redution 2. The average of daily energy intake of male diabetics was 2106 Kcal which is 96% of the RDA Percentage of energy is that carbohydrate:protein : pat=70:14:16. 3. Among the NIDDM male subjects, 59% was exercise regularly. 4. Obese subjects above in the ideal body weight of 120% are presently 17%, but 39% of subjects were reported to be obese in the past. The mean BMI of the male NIDDM diabetics is 23.3${\pm}$2.6 and the past mean BMI was 25.2${\pm}$2.7 The mean WHR was 0.93${\pm}$0.10. 5. When diabetics were divided into obese and nonobese group according to RBW, energy intake, blood pressure, blood glucose and total cholesterol were not significantly different between the two groups, but LDL and VLDL-cholesterol were significantly higher in the obese group. 6. RBW did not correlate with cholesterol and triglyceride, but WHR correlated significantly with cholesterol and triglyceride. In conclusion, these results from a present study support previous findings indicating that not only the degree of obesity but also the localization of fat is a risk factor for diabetes.
Journal of the Korean Society of Clothing and Textiles
/
v.37
no.3
/
pp.280-291
/
2013
This paper analyzes desirable breast types using measurements from 31 selected female subjects based on the ratio of breast in works of art and to design a brassiere cup design according to the breast type of 182 female subjects in their 20s. The subjects selected for this paper are somewhat larger than a previous study on aesthetically perfect breasts of foreigners according to chest breadth, center neck point to breast point, breast circumference, and breast volume. However, the aesthetic breasts of foreigners are larger than the subjects selected for this study according to chest depth, under-bust circumference, and bust point to bust point. Comparing various breasts types and aesthetic breasts, padding is necessary to complement the form of flat breasts to increase the volume and diameter. Brassiere cups for cone-shaped breasts should be designed to increase breast volume through an increase in nipple height. Hemisphere breasts should be designed to increase the overall volume-leaving diameter. Protrusion breasts should enhance the functions of aggregating and supporting without any increase or decrease of the breast volume. Drooping breasts require the ability to support a large volume to stabilize the breast. Subjects were selected depending on the ratio of breast silhouette as works of art and who have large breasts in disproportional to a slender trunk. Three items, the circumferential length of breast, height of the nipple, and the depth of inner breast using the anthropomorphic measurements of 182 subjects were measured through regression equations for breast volume. Breast volume = -394.86 + 27.52 ${\times}$ (the circumferential length of breast) + 18.73 ${\times}$ (height of the nipple) + 12.85 ${\times}$ (the depth of inner breast). Regression equations to extract the aesthetic breast volume in measurements irrelevant to breasts using the anthropomorphic measurements of 31 subjects were as follows. Aesthetic breast volume = -611.30 + 17.67 ${\times}$ (bust circumference) -24.29 ${\times}$ (under-bust circumference) + 16.31 ${\times}$ (neck point to breast point to waistline) + 22.83 ${\times}$ (bust breadth) + 12.22 ${\times}$ (waist depth) -8.34 ${\times}$ (interscye- front). This prediction equation is useful to develop a breast type brassiere pattern, complement breast enhancement surgery, or minimize the effect a mastectomy.
This study was performed to examine the relationship between the body mass index (BMI), the body fat, and the serum lipids of post-menopausal women in rural areas. The subjects were 510 women aged 50 and over. As a result of this study, we found a trend of decreasing BMI as age increased, but body fat increased. In addition, there was a significant decreasing of the lean body mass than an increasing of the body mass index according to increasing age. Therefore, this study confirmed that a main cause of rural women being classified as obese is a decrease in lean body mass, rather than an increase in of body fat. Of all subjects, 36.3% ($18.5{\leq}BMI$ < 23) of all subjects were classified as having normal BMI, whereas only 21.4% were classified as having normal body fat. Out of 190 subjects who were body fat 30% and over, 38 subjects were classified as obese ($BMI{\geq}25$) and 113 subjects were classified as overweight ($23{\leq}BMI$ < 25). The percentile of those with a BMI of $25kg/m^2$ was 70, and they had 30.82% body fat. HDL cholesterol showed a negative correlation with anthropometric factors (height, weight, body mass index, waist circumference, waist hip ratio, body fat), and total cholesterol, LDL cholesterol, and triglycerides showed a positive correlation. Especially, total cholesterol, LDL cholesterol, and hip circumference showed significant correlations. Because of differences in the body fat and lean body mass by age group, it seems difficult to assess obesity via BMI only. The elderly especially should have a higher significance placed on body fat or abdominal fat than only BMI.
This study was performed to identify the nutritional status and eating behaviors of underweight adolescent females aged 15 to 19 years. The subjects were selected using data from 2001 NHANS of Korea, and included 28 underweight and 160 normal-weight subjects. We found that the underweight group had significantly lower weight (9.8 kg), waist (6.9 cm), and hip circumference (7.2 cm) values than the normal-weight group; however height and waist-hip ratio were not different. Serum indices were within normal ranges and showed no differences between the two groups. The energy and nutrient intakes of most of the subjects were considered poor. For intake levels, the proportion of subjects below the EAR, NAR and INQ of each nutrient were also not significantly different between the groups. There were no differences in frequency for skipping meals, snacking, and eating-out between the groups. When comparing food frequency data for 62 food items, the underweight group consumed significantly more often of eggs, dried anchovies, mackerel, shellfish, and mushrooms than the normal-weight group. The former also had significantly less excercise/walking, more diet-control, and more rest/sleep than the latter. Subjects in both of two groups perceived their body images as over weight, so they practiced diet-control to reduce body weight, which is considered harmful as a healthy weight. In conclusion, the underweight group showed no differences in items of biochemical indices, nutrient intakes, and many dietary behaviors, but subjects revealed significantly higher food intake frequencies for several protein foods, as well as less excercise/walking, and more rest/sleep than the normal-weight group.
Ssireum, the traditional Korean sport, is very popular at both amateur and professional levels. Ssireum players are prone to be obese which related to the chronic disease in their later life. The purpose of the study was to compare the anthropometric measurements, quality of diet, and blood parameters of Ssireum players with those of subjects who were matched body mass index, gender and age. Participants in the 3 groups, Ssireum players (SP, n=15), regular moderate exerciser (RME, n=15, >3 times /wk, >20 min/time) and intermittent light exerciser (ILE, n=14) groups. Anthropometric measurements included height, weight, fat mass (by Dual energy X-ray absorptiometry), lean body mass, triceps and thigh skin-fold thickness, mid-arm, waist, hip and thigh circumference. Dietary assessments were accomplished using 3-days food records, diet quality index (DQI), dietary variety score (DVS). Blood levels of lipids, leptin and insulin were analyzed. As a results lean body mass and mid-arm circumference were significantly higher in Ssireum players than those of other groups (p<0.01). Total body fat, trunk fat, abdominal skin fold thickness and waist-hip ratio were significantly lower in SP group than those of other groups (p<0.01). DVS were higher however, dietary quality was low in Ssireum players than in other groups. There were no differences among the 3 groups in regard to blood total cholesterol, LDL-cholesterol and glucose levels however, leptin level was low in Ssireum players. These results indicate that Ssireum players had significantly higher lean body mess and lower body fat when these were compared with regular moderate exerciser and intermittent light exerciser. Blood leptin levels of Ssireum players were low but blood lipid profiles were not significantly different.
Journal of the Korean Society of Clothing and Textiles
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v.17
no.4
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pp.648-662
/
1993
The summarized findings resulted from experiments and investigation are suggested as follows ; The analysis of measurements on the lower limb movements : For this experimentation, data was collected from three hundred and eighty female, age 19 to 23, who answered five lower limb movements(M1~M5). The statistics show that the order of the expansion ratio is gluteal area-length/knee-girth/back-line/knee-depth/thigh-depth/hip-girth, from the highest to the lowest in all movements. When comparing the correlation coefficient of the measurements, the values of the correlation coefficient of the height and the length items are very low, but those of the girth, the breadth, and the depth items are relatively high and those of the waist and the hip items are highest. For more sophisticated analysis, the factor analysis was conducted on the lower limb movements. Four factors were classified on the factor load by the "varimax rotation" method. Each movement shows the most important factor differently, as follows ; the most important factor in M1 is "the shape factor of lower limb below hip-line", that in M2 is "the cross-sectional shape factor", that in M3 is "the size factor of abdominal and loins region", and those in M4 and M5 accord with the interpretation of M3. When the investigation of the estimated function was conducted, in the selectional case of representative items on the slacks construction, it found that it would be better to add abdomen and thigh items as important considerations to waist girth, hip girth and crotch length.
This study examined the effects of Korean red ginseng (KRG) on obese women and aimed to confirm that the effects of KRG on obesity differ dependently on a gene. Fifty obese women were recruited and randomized to receive KRG (n=24) or placebo (n=26) for 8 wk. Measurements of blood pressure, height, weight, waist circumference, waist-hip ratio (WHR), total fat mass, percentage of body fat, resting metabolic rate, basal body temperature, and daily food intake (FI), blood test (serum lipid, liver and renal function), Korean version of obesity-related quality of life scale (KOQOL), and a gene examination were performed. Comparisons of subjects before and after the administration of KRG revealed significant improvements of obesity in terms of weight, body mass index (BMI), WHR, FI, and KOQOL. However, in the comparison between KRG group and placebo group, only KOQOL was significantly different. KRG displayed significant efficacy on BMI and KOQOL in the CT genotype of the G protein beta 3 gene, but not in the CC genotype, on blood sugar test in the Trp64/Arg genotype of the beta 3 adrenergic receptor gene, but not in Trp64/Trp genotype, on KOQOL in the DD genotype of the angiotensin I converting enzyme gene, but not in the ID and DD genotypes. The effects of KRG on obesity were confirmed to some extent. However, a distinct effect compared to placebo was not confirmed. KRG is more effective for improving the secondary issues of the quality of life derived from obesity rather than having direct effects on the obesity-related anthropometric assessment and blood test indices.
This study was performed to compare nutrient intake, bone density, total cholesterol and blood glucose in women who lived in Taegu city. The number of subjects participated in the study was 89 and they were classified into 3 groups by age. 30.3% of the subject were in their 20-34 years of age, 37.1% were in their 35~49 years of age and 32.6% were above fifty. A dietary record method was used to assess the nutritional intake of subjects. Anthropometric measurement such as body weight, height and WHR, and blood pressure, blood glucose, cholesterol and BMD were measured. The results were as follows, mean weight, WHR, SBP, and blood glucose and total cholesterol of the subjects above 50 years old were significantly higher than those of 20-49 years of age(p<0.05). Mean bone density in calcaneus of subjects aged above fifty was lower than those of under 49 years of age(p<0.05). Weight, BMI, waist circumference, WHR and SBP were positively correlated with age(p<0.01). WHR and body fat were positively correlated with BMI(p<0.01). Waist circumference was positively correlated with SBP(p<0.01). Bone mineral density was negatively correlated with age and SBP(p<0.01). Also BMD was positively correlated with weight(p<0.05). Energy intakes was positively correlated with bone mineral density(p<0.05). Fat intakes was negatively correlated with SBP and blood glucose(p<0.05). Calcium intakes was negatively correlated with SBP(p<0.05). Ca/P ratio was negatively correlated with age(p<0.05) and WHR(p<0.01). Zinc intakes was negatively correlated with SBP and blood glucose(p<0.05). From the findings, it is suggested that the women after menopause keep the optimum body weight and good eating habits. Especially intake of good quality protein, calcium and carbohydrate seemed to be important.
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