Objectives : The purpose of this study is to investigate the effect of fasting therapy on the changes of body composition in obese adolescents. Methods : We examined the body composition of obese adolescents three times; before fasting, on the second refeeding day, two or four weeks later. Results : Body weight, body mass index(BMI), basal metabolic rate(BMR) and lean body mass (LBM) were decreased during the fasting, whereas percent-fat was increased. After fasting, patients have the dietary period. During this period BMR and LBM were increased and the decrease of percent-fat was continued. Conclusions : It seems that fasting therapy with keeping up well-controlled dietary period and receiving oriental medical management can be useful to decrease percent-fat in obese patients.
This study examined the age-related patterns in body composition cross-sectionally using Segmental bioelectrical impedance analysis(SBIA), specifically its two components, lean body mass(LBM) and body fat mass, in 1,452 men and 1,436 women with an age range of 19 to over 70 years . Mean height of male subjects was 174.1cm at peak in early 20's and was decreased continuously 0.2-0.3 cm every year. Mean weight was greatest between late 20's and 40's, and was decreased quickly in 70's. Body fat mass was increased steadily before 30's and remained thereafter. Because decreasing lean body mass (LBM), percentage of body fat(PBF) increased continuously with aging. Mean height of female subjects was 161.7 cm at peak in 20's and was decreased steadily around 0.2 cm every year and thus an individual's height was decreased approximately 10 cm in their life cycle. Body weight was increased steadily until 50's and then was decreased. Body fat mass was increased continuously and LBM remained constant and thus PBF was increased steadily with aging. SBIA can be used to compare body composition between genders and between ages. In future studies, SBIA could be applied widely to evaluate variations of body composition in subjects with different nutritional problems.
A new bioelectrical impedance method has been developed and evaluated. The electrodes; were made of stainless steel and electrical interfaces were created by an upright subject gripping hand electrodes and stepping onto foot electrodes. Eight tactile electrodes were in contact with surfaces of both hands and feet; thumb, palm and fingers, front sole, and rear sole. Automatic on-off switches were used to change current pathways and to measure voltage differences for target segments. Segmental body resistances and whole body resistance(RWHOLE)were measured in 60 healthy subjects. Segmental resistances of right arm(RRA), left arm(RLA), trunk(RT), right leg(RRL) and left leg(RLL)were310.0$\pm$61.6$\Omega$, 316.9$\pm$64.6$\Omega$, 25.1$\pm$3.4$\Omega$, 236.8$\pm$31.2$\Omega$ and 237.6$\pm$30.4$\Omega$, respectively. Individual segmental impedance indexes(Ht2/RRA, Ht2/RT, and Ht2 /RLA) were closely related to lean body mass(LBM)as measured by densitometry ranged from r=0.925 to 0.960. Ht2/(RRA+RT+RLA) predicted LBM slightly better(r=0.969) than the traditional index, Ht2/RWHOLE(r=0.964), supporting the accuracy of the segmental measurement. A multiple regression equation utilizing Ht2/RRA, Ht2/RT and Ht2/RRL predicted LBM with r=0.971. Ht2/RRA term of the regression contributed to more than 40$\%$ of the LBM prediction, indicating that lean mass of arm represented whole body LBM more closely than other body segments. The new bioimpedance method was characterized by upright posture, eight tactile electrodes, segmental measurements and utilization of electronic switches in comparison with the traditional method. The measurement with this new method was extremely reproducible, quick and easy to use.
This study was attempted to estimate seasonal variations of physical activity level, energy balance & body composition of 38 rural women, aged 31 to 67yrs in three seasons ; farming season(June), harvesting season(October), nonfarming season(February) Energy intake, energy expenditure and body composition were assessed using questionnaire, daily activity diary & bioelectrical impedance. The type of activities & the period of the spent on each activity were changed significantly with the seasons. Daily mean duration(min) of farming activity was significantly higher in June & October than in February(p<0.005) & daily mean energy expenditure for farming activity was significantly high in June & low inFebruary (p<0.005). Daily mean energy expenditure was 2892.9㎉ in June, 2487.4㎉ in October and 2130.9㎉ in February and changed significantly in three seasons(p<0.005). Daily mean energy intake was significantly higher in June(=1950.3㎉) & October (=1946.9㎉) than in February(=1423.3㎉)(p<0.005). According to RDA for koreans, the level of physical activity fell into exceptional activity category in June, heavy in October, moderate in February. Mean energy balance was negative in all seasons ; 0.682 in June, 0.812 in October and 0.698 in February. In three seasons mean body weight, mean obesity rate and mean body mass index(BMI) were not changed significantly. But there were significant seasonal variations in body fat(%) & lean body mass(LBM)(%). The mean percentage of body fat(%) was within normal range(24.44-24.79%) & the mean percentage of lean body mass(LBM)(%) representing long term physical activity was significantly higher in June(75.56%) & October(75.21%) & October (75.21%) than in February(72.75%)(p<0.05).
The purpose of this study was to provide baseline data for revising the recommended energy intake for Korean adults. We recruited 290 adults so as to determine their resting energy expenditure (REE) and energy intake. The REE was measured by indirect calorimetry. We also calculated the REE from prediction equations formulated by World Health Organization (WHO), The energy intake for two consecutive days was assessed using the 24 hour recall method. The body weight, lean body mass (LBM) and percentage body fat were measured using the INBODY 3.0 system. We compared the results of three age groups ; 20 to 29 years,30 to 49 years and 50 years or more. The average energy intake of each age group was below the 7th Korean Recommended Dietary Allowances (RDA). The average energy intake was lower in the older age groups. However, no difference was observed among the age groups when the energy intake as a percentage of the Korean RDA was compared. Our measurement of the REE was higher than the REE calculated by the WHO's method. Correlation coefficients between the measured and the calculated values of REE for all age groups showed significant correlations (r=0.475-0.672). As the ages of all the subjects increased, the REE/kg of body weight decreased. There were no significant differences in the REE / kg of the LBM between the different age groups; however, the REE/kg of the LBM was higher in the female group than in the male group. Negative correlations of the REE with the age (r=-0.242) and body fat ratio (r=-0.313) were observed; positive correlations of the REE with the BMI (r=0.265), height (r=0.570), weight (r=0.562) and LBM (r=0.586) were also found (p<0.01).
This study was to evaluate the body composition and bone mineral density according to aging in adult and investigated the relationship between various parameters such as body mass index(BMI), bone mineral density(BMD), bone mineral content(BMC), lean body mass(LBM), fat mass(FM) and the value obtained from dual energy X-ray absorptiometry(DEXA). The subjects were composed of healthy adult male and female who were $20^{\sim}73$ years old and they were divided three group according to age (A group : 20-39 yrs., B group : 40-59 yrs., C group : more than 60 yrs.). The conclusion derived from statistical analysis was as follows : 1. Bone mineral content and density were significantly affected by lean body mass(relatively, R=0.85 - 0.63). 2. There was significant difference among age groups in total bone mineral density. 3. There was significant difference among age groups in bone mineral content of male and female. 4. Lean body mass is diminished according to age, but there was not significant difference among age groups. 5. Fat mass of A group in male had the highest mass and followed by C group and B group. In female groups, fat mass of A group had the highest mass and followed by B group and C group. Abdominal fat mass is increased according to age. This result suggest that aging was closely relation with loss of muscle mass, bone mineral density and bone mineral content.
The purpose of this study was to compare the energy expenditure and energy intake of normal-weight and overweight Korean adults. We recruited 242 adults to determine resting energy expenditure, physical activity and energy intake. Resting energy expenditure was measured by indirect calorimetry. Energy intake for consecutive two days was assessed by 24 hour recall method. Daily activity pattern for 24 hour was collected from each subject. Body weight, lean body mass and percentage body fat were measured by INBODY 3.0. The subject were divided into normal ($20\leqBMI$ < 25) and overweight ($BMI \geq 25$) groups by BMI. There was no significant difference in intake of energy between two groups. Energy intake of each group was lower than the 7th Korean RDA of energy. Overweight subjects showed significantly lower REE/kg body weight. However, REE/kg lean body mass (LBM) did not differ between the two groups. Total activity energy was significantly higher in the overweight group compared to the normal group. Daily activity coefficient of overweight group in male was lower than that of normal group. Daily activity coefficient was almost same in two female groups. LBM was highly correlated with REE and total energy expenditure. We concluded that the overweight group consumed more energy than the normal group due to the heavier body weight.
This study was carried out to investigate the relative influence of food intake and menopause on the body composition and bone quality index of women in Wonju who were voluntary participants in a community nutrition program. The status of food intake was examined using a semi-quantitative food frequency questionnaire. A bioelectrical impedance analysis tool (Inbody 2.0) and SONOST 2000 were used for estimating body composition including criteria such as TWB (Total body water), SLM (Soft lean mass), LBM (Lean body mass), PBF (% body fat) and WHR (Waist hip ratio), and BQI (Bone quality index). 82% of the subjects were over the age of 40. The percentage of overweight subjects was 64.3% overall, and higher in the advanced age group while underweight was prevalent in younger subjects. Although only 8.6% of the total subjects skipped breakfast, this habit was more prevalent in subjects in their twenties and the underweight group. Variables, such as age, menstruation status, and breakfast eating habits were significant factors considered in relation to food intake from 7 food groups. Generally, older aged women ate more vegetables while the younger group consumed more simple sugars and lipids. The subjects who were underweight or skipped breakfast tended to drink higher amounts of soft drinks. With increasing age, BMI, PBF and WHR increased also, and TWB, SLM, LBM, and BQI decreased. According to correlation analysis, WHR has a positive correlation with PBF. BQI correlated with SLM and LBM positively, and with PBF and WHR negatively. Over 93.3% of the subjects over the age of 30 were assessed as having abdominal obesity. It was revealed that body composition was affected not only by age, obesity degree and menstruation status but by various food intake habits. Body composition including WHR and BQI had put many of the subjects' health in danger of metabolic disorders. Therefore, it is important to emphasize keeping in place some helpful habits such as eating regularly, having a proper diet which includes many vegetables, and continued milk intake even after menopause to insure women's good health.
The purpose of this study was to investigate the relationship among isometric and isokinetic muscle strength, lean body mass(LBM) and bone mineral density(BMD) in the elderly. Eleven males(age, 70.27${\pm}$5.78yr; height, 167.36${\pm}$6.68 cm; weight, 68.34${\pm}$8.23 kg) and thirteen female(age, 69.77${\pm}$4.13yr; height, 152.80${\pm}$4.45 cm; weight, 56.86${\pm}$7.40 kg) participated in this study. In all subjects, LBM and BMD segments was measured by using Dual-energy x-ray absorptiometry(DEXA, Lunar DPS-DM, U.S.A.). Maximum isometric and isokinetic muscle strength of flexion and extension at the knee and elbow, ankle, trunk joints were measured by using an isokinetic dynamometer(CON-TREX(R) Multi Joint Testing Module, Switzerland). The results of this study showed that isometric and isokinetic muscle strength was significantly higher in extension than flexion. In the male and female, hamstring to quadriceps strength ratio(H:Q ratio) was increased as contraction velocity increased. BMD was correlated significantly with trunk extension in the male, but not in the female. LBM was correlated significantly in the male and female with knee extension strength. This study suggests that in the elderly muscle strength training program should put more weight on extensor muscles of the body.
This study was conducted to examine the effects of an 8-week weight loss program, on body composition, body shape satisfaction, body shape esteem in 15 obese children. This program included nutritional education and regular physical fitness. After completion of this program, height and body weight increased slightly but body compositions changed. BMI, degree of obesity, and body fat levels dropped slightly, however these differences were not significant. After the 8-week program body weight increased from $63.61{\pm}8.80\;kg$ to $64.07{\pm}9.11\;kg$, degree of obesity and BMI decreased from $151.73{\pm}13.62%$, and $29.08{\pm}2.35$ to $146.60{\pm}12.92%$, and $28.57{\pm}2.26$, respectively, and the percentage of body fat decreased slightly from $42.70{\pm}4.87%$ to $41.46{\pm}4.88%$. There were slight changes in weight of body muscle and lean body mass from $19.62{\pm}3.48\;kg$ and $36.17{\pm}5.78\;kg$ to $20.30{\pm}3.64\;kg$ and $37.16{\pm}6.18\;kg$, respectively. LBM and amount of muscle were higher after this weight loss program. The body shape esteem score increased from $7.60{\pm}4.01$ to $9.00{\pm}6.20$. There was no significant difference in body shape satisfaction before and after the program, and the participants also wanted to be leaner. Finally, body weight, BMI, and body fat showed negative correlations to body shape esteem.
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