• Journal of Korean Medicine Rehabilitation
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• v.21 no.3
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• pp.33-43
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• 2011

Objectives : The purpose of this study was to investigate the influence of modified fasting therapy using fermented herbal medicine on the changes of body compositions. Methods : This study was carried out on 11 patients who carried out modified fasting therapy using fermented herbal medicine. They went through reducing food intakes period(7 days), fasting period(10~14 days) and refeeding period(10~14 days). Body compositions(weight, BMI(body mass index), skeletal muscle mass, body fat mass, percent body fat, basal metabolic rate, waist-hip ratio, visceral fat area) were measured at each state. And then the data was analyzed. Results : 1. The weight and BMI decreased during the reducing food intakes period and the fasting period, and increased during the refeeding period. But the weight and BMI decreased during the fasting therapy period, as a whole. 2. The skeletal muscle mass decreased during the fasting period and increased during the refeeding period. As the final outcome, for the whole fasting therapy period, decrease of skeletal muscle mass didn't show significance. The body fat mass and percent body fat decreased during the reducing food intakes period, the fasting period and the refeeding period. 3. The basal metabolic rate decreased during the fasting period and increased during the refeeding period. As the final outcome, for the whole fasting therapy period, decrease of basal metabolic rate didn't show significance. 4. The waist-hip ratio decreased during the fasting period and the refeeding period. The visceral fat area decreased during the fasting period and refeeding period. Conclusions : Results from this investigation showed that modified fasting therapy using fermented herbal medicine have positive effects on changes of body compositions. This results are expected to compensate the defects of existing fasting therapy.

• Proceedings of the KSCN Conference
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• 2004.12a
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• pp.85-85
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• 2004

• The Korean Journal of Physiology
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• v.4 no.2
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• pp.69-81
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• 1970

These studies were carried out on 176 persons ranging in age from 20 to 50 years to determine the basal metabolic rates, energy expenditure of various activities, and daily energy expenditure of service personnel in Korea. The measurements of basal metabolic rates were made on 42 subjects by indirect calorimetry using a Douglas' bag and Scholander's gas analyzer. The energy expenditures of various activities of daily life were also measured. The greatest increase in ratio of energy expenditure in the basis of resting metabolism was 277.3% in floor sopping and the least was 40.9% during hair cutting by beauticians. The assessment of the dailly energy expenditure for each subject was made by the factorial method, using a record of their activities throughout each of 24 hours of every survey day. Certain activities were recorded in minute units. The total daily energy expenditure is the sum of all energy expenditure. This was calculated by multiplying the caloric value of the metabolic rate by the time spent on each activity. The result of the total daily energy expenditure records for 17 occupations are summarized. In respect to the daily energy expenditure, most of the occupations are moderate or light work. But the janiter (F), laundress, cook (F), room maid and nurse's aid do heavy work.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.05a
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• pp.577-578
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• 2017

Existing exercise management systems provided exercise information to the user. However, there is a problem that the accuracy is low due to the absence of an algorithm for analyzing the user's body information and providing information. In this paper, BMI(Body Mass Index) and BMR(Basal Metabolic Rate) values are analyzed to analyze user's body information. It also recommends exercise intensity and momentum to the user and graphs the history of the exercise device that the user has used. Through this, it is considered that the information corresponding to the user's body can be provided and the exercise management can be carried out.

• Journal of Community Nutrition
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• v.2 no.2
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• pp.135-140
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• 2000

The objectives of this study were to determine whether older Americans would provide valid energy intake information using a 24-hr recall method and to determine which characteristics were predictive of under-report of energy intake. We conducted 24-hour recalls on 83 male and 105 female community-dwelling older adults(66-87y) in the USA to assess energy(EI) and nutrient intakes. Basal metabolic rate(BMR) was calculated from age-and gender-specific equations of Schofield. Under-reporting was defined a priori as EI : BMR<0.9. Subjects volunteered demographic information, underwent depression and cognition exams, and completed a Level II Nutrition Risk Screen. Differences between under- and adequate-reporters were assessed using t-tests for characteristics and macro-nutrient profile. Stepwise regression analyses were used to predict under-reporting status. Under-reporting of EI occurred in 34% of the sample. Neither geriatric depression scale(GDS) score, nor self-reported weight loss were related to under-reporting. On average, under-reporters had higher body mass indices. The most significant variables for the main effect to predict the ratio of energy intake to estimated basal metabolic rate(EI : BMRest) were BMI and age. Using a standard cut-off of 76% of the recommended dietary allowances for Americans, under-reporters were consistently more likely to be classified as having inadequate nutrient, as well as energy, intakes. (J Community 2(2) 135∼140, 2000)

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.784-786
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• 2016

Recent research has been related to the health of the various systems. In contrast the system are the level insufficient for accurate analysis that the body of the user information and service information. In this paper, in order to solve this problem, we propose a fitness system based on the algorithm for analyzing the body of the user information. Algorithm to analyze the user's body information by analyzing the user's height and weight to calculate the BMI(Body Mass Index) index and BMR(Basal Metabolic Rate) value. The proposed system is considered to be able to give recommendations to the user for the exercise on the basis of the calculated BMI index and BMR value.

• Nutrition Research and Practice
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• v.13 no.6
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• pp.488-497
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• 2019

BACKGROUND/OBJECTIVES: There are various factors that affect metabolic abnormalities related to obesity. The purpose of this study is to analyze the differences in dietary intakes and body compositions of obese women according to metabolic risks and to classify them as metabolically healthy obese (MHO) or metabolically abnormal obese (MAO). SUBJECTS/METHODS: This study was conducted on 59 obese Korean women aged 19 to 60 years. NCEP-ATPIII criteria were applied and the women classified as MHO (n = 45) or MAO (n = 14). Body composition of each subject was measured by using dual-energy x-ray absorptiometry (DEXA). Three-day food records were used to analyze dietary intake. Eating habits and health-related behaviors were determined through questionnaires. Indirect calorimetry was used to measure resting metabolic rate and respiratory rate. RESULTS: The average age of the subjects was 43.7 years. The analysis of body composition according to phenotype revealed significantly higher body fat mass (P < 0.05), arm fat mass (P < 0.05), and android fat mass (P < 0.05), as measured by DEXA, in the MAO group than in the MHO group. There was no significant difference in the dietary intake of the two groups. However, eating behaviors differed. Compared to the MHO group, the MAO women had a shorter meal time (less than 10 minutes), a preference of oily foods, and a tendency to eat until full. Therefore, the eating habits of MHO women were more positive than those of MAO women. CONCLUSIONS: The results suggest that fat distribution in each body region affects various metabolic abnormalities. A high level of arm fat mass in obese Korean women may increase metabolic risk. In addition, eating habits of obese Korean women are considered to be environmental factors affecting the metabolic phenotype of obese Korean women.

• Journal of Korean Medicine for Obesity Research
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• v.4 no.1
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• pp.95-123
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• 2004

Objects: This study was aimed to find out correlation between life style and cardiopulmonary function and body fat. Methods: We divided two groups by the score of behavior modification therapy questionnaire. Westudied tendency of change of cardiopulmonary function and body fat for medication of Mahuang capsule by ergogenic aids and placebo with circuit training. We got the results for Exercise stress test and Segmental Bioelectrical Impedence Analysis. Results: 1. High Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of Lean Body Mass, Body Fat, Waist Circumference and not significantly elevation of Body Weight, But Basal Metabolic Rate was declined. Low Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of Waist Circumference and not significantly elevation of Body Weight and Body Fat, Lean Body Mass but decline of Basal Metabolic Rate, Waist to Hip Ratio 2. High Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of $VO_{2max}$ and not significantly elevation of the rest. Low Score Group in Behavior Modification Therapy Questionnaire significantly(p<.05) showed elevation of rest Heart Rate, Diastolic Blood Pressure, and not significantly elevation of the rest except for METs Conclusion: High score group in Behavior Modification Therapy Questionnaire showed significantly elevation of body composition, but had no relationship with Cardiopulmonary function

• Journal of Information Technology Services
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• v.17 no.1
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• pp.91-103
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• 2018

This study developed a prediction model using machine learning technology and predicted the success of health consulting by using life log data generated through u-Health service. The model index of the Random Forest model was the highest using. As a result of analyzing the Random Forest model, blood pressure was the most influential factor in the success or failure of metabolic syndrome in the subjects of u-Health service, followed by triglycerides, body weight, blood sugar, high cholesterol, and medication appear. muscular, basal metabolic rate and high-density lipoprotein cholesterol were increased; waist circumference, Blood sugar and triglyceride were decreased. Further, biometrics and health behavior improved. After nine months of u-health services, the number of subjects with four or more factors for metabolic syndrome decreased by 28.6%; 3.7% of regular drinkers stopped drinking; 23.2% of subjects who rarely exercised began to exercise twice a week or more; and 20.0% of smokers stopped smoking. If the predictive model developed in this study is linked with CBR, it can be used as case study data of CBR with high probability of success in the prediction model to improve the compliance of the subject and to improve the qualitative effect of counseling for the improvement of the metabolic syndrome.

• The Journal of Korean society of community based occupational therapy
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• v.1 no.2
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• pp.21-30
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• 2011

The previous studies were prevalent a study of treatment like a environmental modification or compensative approach and intervention which used in today to paralyzed patients. These interventions were related with occupational therapy widely. The purpose of this study is to provide a basic datum for environmental modification, compensative approach, and intervention observing physiological changes which is shown in early paralyze patients. The subjects were 40 students who were 20 female and 20 male in a college. The students were devided into hemiplegic and paraplegic model. The model was designed using a experimental cloths. A instrument to measure body composition was a precision instrument. The results of the study were as follow: First, there was no different homogeneity between activity daily of living of hemiplegic and paraplegic model. Second, there was a significant different body water and basal metabolic rate between before and after activity daily of living of hemiplegic model. Third, there was a significant different body water and basal metabolic rate between before and after activity daily of living of paraplegic model. Forth, there were no significant different physiological change between after activity daily of living of hemiplegic model and paraplegic model. We observed early changes of body composition using a hemiplegic and paraplegic model. We could know it was reduced body water rate and basal metabolic rate in regardless of type of paralysis. Therefore, it is important to know these physiological changes of paralyzed patients and improve body water and basal metabolic rate of the patients.