• 가정과삶의질연구
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• 제31권5호
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• pp.173-184
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• 2013

The purpose of this study was to investigate adolescent consumers' consumption trends to identify their tendency for conspicuous consumption. To investigate adolescent consumers' consumption factors and conspicuous propensity for consumption, mass media, peers' effects & conformity were examined. The objects of the study are 503 middle and high school students in Seoul. The data were analyzed through frequency analysis, mean, standard deviation, t-test, Pearson's correlation, and hierarchical multiple regression analysis by using SPSS Win 12.0. The major results of this study are as follows: Firstly, the factors of gender, grade and allowance suggest a consumption-oriented attitude and conspicuous consumption is revealed to be the highest among female students rather than male students, and high school students rather than middle school ones. Allowance is significantly correlated with consumption-oriented attitude and conspicuous consumption. Secondly, factors that affect the propensity for the consumption-oriented attitude of adolescent consumers are mass media, peer conformity, and effects. Thirdly, the factors affecting the propensity for the conspicuous consumption of adolescent consumers are peers' effects, mass media, and peer conformity. This investigation could contribute to enhancing the understanding of adolescent consumers.

• Journal of Korean Biological Nursing Science
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• 제19권1호
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• pp.1-10
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• 2017

Purpose: The purpose of this study was to investigate influences of drinking, smoking, and obesity indices on cardio-cerebrovascular disease risk factors in Korean young men. Methods: The subjects were 234 young men, aged 20 to 39 years. Body mass index (BMI), percent body fat (PBF), body fat mass (kg), and waist hip ratio (WHR) were measured as obesity indices. Systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting blood sugar (FBS), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were measured as cardio-cerebrovascular disease risk factors. The data were analyzed by t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using SAS 9.4. Results: Statistically significant factors were BMI for SEP; age, degree of drinking, body fat mass for DBP; WHR for TC; WHR and age for TG; age, degree of smoking and PBF for HDL-C; WHR, age and degree of smoking for LDL-C. Conclusion: Factors identified in this study need to be considered in cardio-cerebrovascular disease prevention programs for young men.

• 지역사회간호학회지
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• 제26권3호
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• pp.230-237
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• 2015

Purpose: This study aimed to assess the prevalence of asthma, allergic rhinitis, and atopic dermatitis in elementary school students according to the body mass index. Methods: This study was conducted as cross-sectional descriptive research using a structured questionnaire. Data were collected from 6,398 students at 15 elementary schools located in Y City in Korea. The cross-sectional survey used the Korean version of International Study of Asthma and Allergies in Childhood questionnaire. Logistic regression analysis was performed to estimate the odds ratios of body mass index. Results: The symptom prevalence of asthma, allergic rhinitis, and atopic dermatitis in the last 12 months was 12.4%, 49.5%, and 24.5%, respectively. The symptom prevalence of asthma was significantly higher in the obesity group. The number of those without any asthma symptom in lifetime was significantly smaller in the overweight (OR=0.70, p=.004) and obesity (OR=0.57, p=.005) groups than in the healthy weight group. Conclusion: These results suggest that asthma, allergic rhinitis, and atopic dermatitis prevention programs for elementary school students should include weight control intervention.

• 성인간호학회지
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• 제24권2호
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• pp.200-207
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• 2012

Purpose: The purpose of this study was to investigate the influences of body mass index (BMI), mindfulness and self-esteem on reported body image among university students. Methods: Data were collected through questionnaires from 266 students and were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficients and Stepwise multiple regression analysis with SPSS/WIN 19.0 program. Results: As defined by body mass index, the sample was divided into an underweight group was 88.7%, a normal weight group was 10.5%, and an overweight group was 0.8%. The levels of body image depended on family income, personality, and BMI. The body image was significantly correlated with BMI, mindfulness, and self-esteem. The influential factors affecting body image were self-esteem, BMI, family income and personality, which explained about 34.6% of the variance. Conclusion: The results of this study indicate that nursing intervention are needed to improve body image, and that such variables should be carefully considered in intervention for university students.

• Nuclear Engineering and Technology
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• 제54권1호
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• pp.310-317
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• 2022

The mass attenuation coefficient is the primary physical parameter to model narrow beam gamma-ray attenuation. A new machine learning based approach is proposed to model gamma-ray shielding behavior of composites alternative to theoretical calculations. Two fuzzy logic algorithms and a neural network algorithm were trained and tested with different mixture ratios of vanadium slag/epoxy resin/antimony in the 0.05 MeV-2 MeV energy range. Two of the algorithms showed excellent agreement with testing data after optimizing adjustable parameters, with root mean squared error (RMSE) values down to 0.0001. Those results are remarkable because mass attenuation coefficients are often presented with four significant figures. Different training data sizes were tried to determine the least number of data points required to train sufficient models. Data set size more than 1000 is seen to be required to model in above 0.05 MeV energy. Below this energy, more data points with finer energy resolution might be required. Neuro-fuzzy models were three times faster to train than neural network models, while neural network models depicted low RMSE. Fuzzy logic algorithms are overlooked in complex function approximation, yet grid partitioned fuzzy algorithms showed excellent calculation efficiency and good convergence in predicting mass attenuation coefficient.

• 한국대기환경학회지
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• 제19권6호
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• pp.701-717
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• 2003

The objective of this study was to extensively estimate the air quality trends of the study area by surveying con-centration trends in months or seasons, after analyzing the mass concentration of PM-10 samples and the inorganic lements, ion, and total carbon in PM-10. Also, the study introduced to apply the PMF (Positive Matrix Factoriza-tion) model that is useful when absence of the source profile. Thus the model was thought to be suitable in Korea that often has few information about pollution sources. After obtaining results from the PMF modeling, the existing sources at the study area were qualitatively identified The PM-10 particles collected on quartz fiber filters by a PM-10 high-vol air sampler for 3 years (Mar. 1999∼Dec.2001) in Kyung Hee University. The 25 chemical species (Al, Mn, Ti, V, Cr, Fe, Ni, Cu, Zn, As, Se, Cd, Ba, Ce, Pb, Si, N $a^{#}$, N $H_4$$^{+}$, $K^{+}$, $Mg^{2+}$, $Ca^{2+}$, C $l^{[-10]}$ , N $O_3$$^{[-10]}$ , S $O_4$$^{2-}$, TC) were analyzed by ICP-AES, IC, and EA after executing proper pre - treatments of each sample filter. The PMF model was intensively applied to estimate the quantitative contribution of air pollution sources based on the chemical information (128 samples and 25 chemical species). Through a case study of the PMF modeling for the PM-10 aerosols. the total of 11 factors were determined. The multiple linear regression analysis between the observed PM-10 mass concentration and the estimated G matrix had been performed following the FPEAK test. Finally the regression analysis provided source profiles (scaled F matrix). So, 11 sources were qualitatively identified, such as secondary aerosol related source, soil related source, waste incineration source, field burning source, fossil fuel combustion source, industry related source, motor vehicle source, oil/coal combustion source, non-ferrous metal source, and aged sea- salt source, respectively.ively.y.

• Journal of Community Nutrition
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• 제6권3호
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• pp.121-124
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• 2004

Objective : The paper aims to provide predictive coefficients via BIA for the assessment of body composition in children and adolescents to serve clinical as well as research purposes. Methods : Body composition via dual-energy x­ray absorptiometry (DXA) and bioelectric impedance as well as other anthropometric index were derived from meaurements on 1026 children and adolescents aged from 6 to 18 years from Beijing City. The best subset regression and principle component analysis were adopted to build the predictive coefficients with the logarithm of body composition via DXA as response variable. Results : Condition index ${\varphi}$ of fat-free mass multiple linear regression achieves 113.49 and 91.18 for males and females respectively, demonstrating severe multicollinearity among anthropometric indexes in children and adolescents. BIA predictive coefficients base on the best subset regression and principle component analysis boast a content predictive value for lean mass ($r^2$ = 0.9697 and 0.9664 for boys and girls respectively, p < 0.0001) and for Fat$\%$ ($r^2$ = 0.7705 and 0.6959 for boys and girls respectively, p < 0.0001). Conclusions : BIA method is applicable for the prediction of body composition for children and adolescents.

• 지역사회간호학회지
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• 제14권2호
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• pp.253-262
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• 2003

Purpose: This study was carried out to identify factors influencing osteoporosis in women at pre- and post-menopausal state. Methods: The subjects of this study were 52 pre-menopausal and 125 post-menopausal women who were assessed of bone density in one general hospital. The data were collected through review of clinical records and telephone interviews using a questionnaire. Results: In the pre-menopausal women, the factors influencing osteoporosis were regular exercise (protective factor) and age (risk factor). Regression analysis showed that the factors attributable to osteoporosis included educational level, weight, age and number of pregnancy, accounted for 41.89% of the total variance. In the post-menopausal women. the factors influencing osteoporosis were age (risk factor), low educational level (risk factor), low economical state (risk factor), high parity (risk factor), and intake of coffee (protective factor). Regression analysis also showed that factors attributable to their osteoporosis included age, educational level, number of delivery, intake of the coffee, regular exercise, number of pregnancy and duration of oral pill intake, accounted for 37.41 % of the total variance. Conclusion: In pre-menopausal women, regular exercise was one of the most powerful determinant of their bone mass. Therefore, it is necessary to participate in a regular exercise program to maintain peak bone mass density prior to the onset of menopause. In post-menopausal women, increased age was the most influencing factor of their bone mass. Therefore, it is essential to establish early diagnosis and management of osteoporosis after menopause.

• Journal of Acupuncture Research
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• 제28권2호
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• pp.155-164
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• 2011

Objectives : The purpose of this study was to show the corelation between age-related muscular mass and the change of exercise, muscle mass and muscular strength by comparison of muscle strength. Methods : 39 volunteers of all the patients who come to Dangjin health center between May and June in 2009 were classified as group A and group B according to age. Demographic data of these two groups have been done a comparative analysis, using the t-test procedure and linear regression analysis. Results : The results and summarized as follows. 1. Demographic data of these two groups have been done a comparative analysis, using the t-test procedure. As a result the average exercise and the average pulse have a statistically significant difference according to age. 2. Each of average fat, muscle and muscular strength in these two groups have been done a omparative analysis, using the t-test procedure. As a result there is no statistically significant according to age. 3. According to the result analyzed by using linear regression analysis, age have a negative effect on muscle but there is no statistically meaningful. Exercising have a positive effect on muscle and there is statistically significant. 4. Age and Protein diet have a negative effect on Grip strength but there is no statistically significant Conclusions : From this result, it can be assumed that the amount of exercise is decreasing with age, which leads to lose some muscle mass.

• Asian Pacific Journal of Cancer Prevention
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• 제14권12호
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• pp.7497-7500
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• 2013

Background: This study concerns clinical characteristics and survival of renal cell carcinoma (RCC) patients in University Malaya Medical Centre (UMMC), as well as the prognostic significance of presenting symptoms. Materials and Methods: The clinical characteristics, presenting symptoms and survival of RCC patients (n=151) treated at UMMC from 2003-2012 were analysed. Symptoms evaluated were macrohaematuria, flank pain, palpable abdominal mass, fever, lethargy, loss of weight, anaemia, elevated ALP, hypoalbuminemia and thrombocytosis. Univariate and multivariate Cox regression analyses were performed to determine the prognostic significance of these presenting symptoms. Kaplan Meier and log rank tests were employed for survival analysis. Results: The 2002 TNM staging was a prognostic factor (p<0.001) but Fuhrman grading was not significantly correlated with survival (p=0.088). At presentation, 76.8% of the patients were symptomatic. Generally, symptomatic tumours had a worse survival prognosis compared to asymptomatic cases (p=0.009; HR 4.74). All symptoms significantly affect disease specific survival except frank haematuria and loin pain on univariate Cox regression analysis. On multivariate analysis adjusted for stage, only clinically palpable abdominal mass remained statistically significant (p=0.027). The mean tumour size of palpable abdominal masses, $9.5{\pm}4.3cm$, was larger than non palpable masses, $5.3{\pm}2.7cm$ (p<0.001). Conclusions: This is the first report which includes survival information of RCC patients from Malaysia. Here the TNM stage and a palpable abdominal mass were independent predictors for survival. Further investigations using a multicentre cohort to analyse mortality and survival rates may aid in improving management of these patients.