• Journal of Korean Public Health Nursing
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• v.19 no.1
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• pp.95-107
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• 2005

With the aim of diagnostic research on health education. the health promoting behaviors related to elementary school students' weight control. life satisfaction. health state. self-efficacy. parent's interest and knowledge about weight control and school health education of weight control were investigated on the basis of the PRECEDE model. The data for this study were collected from a sample at an elementary school in Chongju for 5 days in July. 2004. In analyzing the data. t-test. one-way ANOVA. chi-square test and multiple regression analysis were done by using SPSS 10.1 The results were as follows : 1. The elementary school students' level of life satisfaction was above half of the full point. The score difference of life satisfaction was statistically significant by grade and academic achievement(F=4.646. p=.010. F=16.042. p=.000). 2. The perceived level of health state was moderate for all students. Normal weight students' level was significantly higher than obese students' (t=3.667. p=.000). 3. The perceived level of health promoting behaviors related to weight control was above the moderate. The perceived level of health promoting behaviors related to weight control in the obese students was significantly higher than that in normal weight students(t=-2.225. p=.027). The students used computer for 1.48 hours and watched TV for 2.52 hours a day. 4. The score of health promoting behavior self-efficacy in this subject was 70.61. 5. The parents' level of interest in the obese students' weight control was significantly higher than that in the normal weight students(t=-4.86. p=.000). 6. Sixty-six percent of the students learned about weight control education in school. 7. The health promoting behavior self-efficacy among the educational diagnostic variables was the most influential variable in students' health promoting behaviors related to weight control. This research diagnosed the needs of weight control education in elementary school by assessing various factors related to weight control behaviors. The research findings suggest that we can enhance the prevention of childhood obesity by strengthening the related factors such as parents' knowledge and interest, health promoting behaviors and self-efficacy related to weight control in school health education.

• Journal of Community Nutrition
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• v.5 no.3
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• pp.151-159
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• 2003

The purpose of this study was to investigate the difference in dietary attitudes, dietary behaviors and health-related lifestyles among Korean college students (392 males, 808 females) participating in a web class of nutrition education. This cross-sectional survey was conducted by a self-administered questionnaire and data was analyzed by SPSS program. Most female subjects with weight-control attempt had eating habit problems such as overeating and food jags. The female subjects with weight-control attempt showed significantly higher rate of skipping dinner compared to those without weight-control attempt. As for frequency of exercise, the subjects with weight-control attempt exercised more frequently compared to those without weight-control attempt. In subjects, weight-control attempt was significantly associated with exercise. Nutrient adequacy ratio and mean adequacy ratio of the subjects with weight-control attempt were significantly lower compared to those without weight-control attempt. These results suggest that skipping dinner or exercise might be used as weight-control methods in Korean college female students participating in a nutrition education class via the internet.

• Journal of the Society of Naval Architects of Korea
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• v.48 no.5
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• pp.426-434
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• 2011

Accurate weight prediction methods are an essential of the ship design in both ship cost managements and performance satisfactions. When no parent or similar ships are available, an adequate method of the ship weight estimating is required. In this study, there was carried out to develop the ship weight estimating method for the preliminary design phase. The weight estimating methods were first surveyed by the references and summarized their characteristics. The weight estimation method by statistical approach was developed for the container ship because the containerized transportation markets is gradually growing and ship's size and loading capacity are rapidly enlarged. The correlation analysis and the multiple regression analysis were used for developing the weight estimating method. As a results of evaluating the developed method, the error ratio of the variation between estimated weight and ship's data was about 5%. And it was only 1% difference with the calculating weight of conceptual design results by shipyard design team that the estimating weight of ultra-large container ship was predicted by the developed method.

• Perspectives in Nursing Science
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• v.9 no.1
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• pp.1-8
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• 2012

Purpose: The purpose of this study was to compare variables related to weight control between normal weight and overweight/obese female adolescents. Methods: This study is a supplementary analysis using a total of 293 female adolescents in Seoul. Data were collected through self-report questionnaires on the topics of stages of change, processes of change, and the decisional balance pertaining to weight control. Body weight and height were also measured. Results: There was a significant difference in the stages of change between the normal weight and overweight/obese groups. Of 12 processes of change, 9 processes were significantly higher in the overweight/obese group than in the normal weight groups. Also, female adolescents who were overweight or obese had significantly higher pros and eating efficacy scores comparing to those in the normal weight group. Conclusion: The findings of this study suggest that overweight/obese female adolescents, especially those in the action stage need supports to continue their weight control behaviors. In addition, a weight control program for female adolescents should emphasize their participation in physical activities in addition to their dietary control efforts.

• Research in Community and Public Health Nursing
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• v.29 no.4
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• pp.476-487
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• 2018

Purpose: The present study is focused on understanding weight perception related with individual- and school-level multifactorial origins, underestimated and overestimated respectively, in normal body weight adolescents. Methods: Using the 2017 Korea Youth Risk Behavior Web-based Survey data of 45,902 students from 799 secondary schools, a multilevel multinomial logistic regression analysis was performed where adolescents (level1) were nested within schools (level 2). Results: At the school level, the average school body mass index (BMI, $kg/m^2$) and physical education were associated with weight perception among both boys and girls. In boys, geographic areas were associated with weight underestimation. At the individual level, perceived economic status, weekly allowance, BMI ($kg/m^2$), smartphone usage time (hrs/day) and perceived stress were associated with weight perception among both boys and girls. Age, paternal education, academic achievement and alcohol use were associated with weight perception among girls, while part-time job and physical activity were associated with weight perception among boys. Conclusion: Our findings underscore the importance of individual- and school-level environments in developing correct weight perception and have implications for school health education to establish healthy lifestyle behaviors for all adolescents.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.680-683
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• 1997

Fieldbus system should be designed by considering the number of sensors/actors(actuators+ controllers) and their sampling times. But the number of sensors/actors and which are connected to the network bus can be varied by addition and/or fault of the field devices. That variation decreases the efficiency of system which is off-line designed optimally. This paper proposes an algorithm that ensures transmission of cyclic data even though there is the number change in the field devices. We assign the different weight values to cyclic data and acyclic data. By simulation and experiment, the cyclic and acyclic data are processed via the proposed network, and the results are compared with those of the Profibus system. It is shown that the proposed algorithm is more robust with the uncertainties of the field devices of the control system.

• Journal of Korean Institute of Industrial Engineers
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• v.28 no.2
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• pp.171-177
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• 2002

In this paper, we propose a new data fusion method to improve the performance of individual prediction models for time series data. Individual models used are ARIMA and neural network and their results are combined based on the weight reflecting the inverse of EWMA of squared prediction error of each individual model. Monte Carlo simulation is used to identify the situation where the proposed approach can take a vintage point over typical fusion methods which utilize MSE for weight. Study results indicate the following: EWMA performs better than MSE fusion when the data size is large with a relatively big amplitude, which is often observed in intra-cranial pressure data. Additionally, EWMA turns out to be a best choice among MSE fusion and the two individual prediction models when the data size is large with relatively small random noises, often appearing in tax revenue data.

• The Journal of Korean Medicine
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• v.41 no.2
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• pp.58-79
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• 2020

Objectives: The purpose of this study is to predict the weight loss by applying machine learning using real-world clinical data from overweight and obese adults on weight loss program in 4 Korean Medicine obesity clinics. Methods: From January, 2017 to May, 2019, we collected data from overweight and obese adults (BMI≥23 kg/m2) who registered for a 3-month Gamitaeeumjowi-tang prescription program. Predictive analysis was conducted at the time of three prescriptions, and the expected reduced rate and reduced weight at the next order of prescription were predicted as binary classification (classification benchmark: highest quartile, median, lowest quartile). For the median, further analysis was conducted after using the variable selection method. The data set for each analysis was 25,988 in the first, 6,304 in the second, and 833 in the third. 5-fold cross validation was used to prevent overfitting. Results: Prediction accuracy was increased from 1^st to 2^nd and 3^rd analysis. After selecting the variables based on the median, artificial neural network showed the highest accuracy in 1^st (54.69%), 2^nd (73.52%), and 3^rd (81.88%) prediction analysis based on reduced rate. The prediction performance was additionally confirmed through AUC, Random Forest showed the highest in 1^st (0.640), 2^nd (0.816), and 3^rd (0.939) prediction analysis based on reduced weight. Conclusions: The prediction of weight loss by applying machine learning showed that the accuracy was improved by using the initial weight loss information. There is a possibility that it can be used to screen patients who need intensive intervention when expected weight loss is low.

• Journal of Nutrition and Health
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• v.31 no.4
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• pp.767-776
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• 1998

The purpose of this study was to determine the percentage of body fat by three different methods and to investigate the relationship between food preference and intake and percentage of body fat in female high school dancers. Height, weight , girth circumference, and near infrared body fat(%) on were measured 112 subjects BMI body fat (%) , girth circumference body fat (%) , and anthropometric indices were also calculated . Dietary data was collected by questionnaire. All data was analyzed by frequency, percentage, mean and standard deviation, correlation, and crosstabulation; analysis, The results are summarized as follows ; 1) Average age of the subjects was 16.5 height was 161.0cm, weight was 50.7kg , near infra-red body fat was 27.0% BMI body fat was 21.9% , and girth circumference body fat 20.9%. 2) Near infra-red body fat (%), BMI body fat(%) , BMI , Rohrer index , and % ideal weight showed the most significant correlations with upper arm girth. The differences in the height among subject physiques classified by body fat(%) were non-significant, but the differences in height by BMI, Rohrer index, and % ideal weight were significant. 3) The preference values of fatty foods such as meat, milk, and fish were shown to increase with the percentage of body fat, The subjects who had higher percentage of body fat preferred foods cooked in oil. In contrast, the students with higher percentage of body fat were thought to have lower food intake and between meals frequencies. It was shown in this study that higher preference values for animal fatty foods and foods containing more cooking oil induced significant increases in body fat and weight.

• Journal of the Korean Society of School Health
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• v.20 no.2
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• pp.13-21
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• 2007

Purpose: The study was for researching the body image, self esteem and sociability of elementary students related on obesity. Methods: As the method, a convenience sample had been consisted of both 83 boys and 81 girls on 6th grade in elementary schools in Taebaek city. The data were collected through a self-report questionnaire between June 4th and June 8th, 2007. Then x2 test, One-way ANOVA, Scheff Test, and Pearson Correlation worked on the data using SPSS program. Results: On the result, 6th grade students have been perceived less on their overweight and obesity than the actual. On the research, 38.6% of the girls and 19.7% of the boys were actually obesity on their weight. However, 22.9% of the boys and 16.0% of the girls only has been recognized their obesity on the weight. Meantime 37.3% of the boys and 54.3% of the girl wanted to lose their weight. Body image has relatively a positive correlation by moderate level with self-esteem (r =.552. p<.01) and sociability(r=.509, p<.01) as well. Conclusion: As a conclusion of this study, health educators in elementary school need to lead for elementary students to improve their self-esteem and sociability through keeping normal weight. I would like to suggest that the educators need to develop a program for students to perceive the value of health and keep on normal weight.