• Journal of Nutrition and Health
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• v.37 no.2
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• pp.123-131
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• 2004

This study was carried out to identify dietary risk factors for childhood obesity. The study subjects were male children, aged 2-6years, who were enrolled in nursery schools and kindergartens. We obtained anthropometric measurements from 949 boys and dietary questionnaires from 253 boys. The subjects were classified into two groups using the BMI criteria, normal (n=200) group with the BMI below 85th percentile and the obese group with the BMI at 85th percentile and above (n=53). The logistic regression analysis showed that the odds ratios (OR) for obesity were, birth weight greater than 4.0㎏ (3.27) , increased meal speed (4.98) , the frequency of overeating more than twice a week (2.63), the consumption of cooked rice more than one bowl per meal (2.77), the consumption of milk and dairy products less than 5 times a week (2.81), and increased maternal meal speed (1.98). Stepwise multiple logistic regression analyses showed that the variables which contribute to obesity significantly were birth weight greater than 4.0 ㎏ (OR 5.19), the frequency of overeating more than twice a week (OR 2.51) , the consumption of cooked rice more than one bowl per meal (OR 2.74), and the consumption of milk and dairy products less than 5 times a week (OR 4.43) (p＜0.0001) . The results of this study indicate that dietary habits of both children and of their mothers as well as child's birth weight are important variables that contribute to childhood obesity. (Korean J Nutrition 37(2): 123-131, 2004)

• Journal of Ecology and Environment
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• v.32 no.4
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• pp.229-236
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• 2009

A habitat model was developed to delineate potential habitat of the leopard cat (Prionailurus bengalensis) in a mountainous region of Kangwon Province, Korea. Between 1997 and 2005, 224 leopard cat presence sites were recorded in the province in the Nationwide Survey on Natural Environments. Fifty percent of the sites were used to develop a habitat model, and the remaining sites were used to test the model. Fourteen environmental variables related to topographic features, water resources, vegetation and human disturbance were quantified for 112 of the leopard cat presence sites and an equal number of randomly selected sites. Statistical analyses (e.g., t-tests, and Pearson correlation analysis) showed that elevation, ridges, plains, % water cover, distance to water source, vegetated area, deciduous forest, coniferous forest, and distance to paved road differed significantly (P < 0.01) between presence and random sites. Stepwise logistic regression was used to develop a habitat model. Landform type (e.g., ridges vs. plains) is the major topographic factor affecting leopard cat presence. The species also appears to prefer deciduous forests and areas far from paved roads. The habitat map derived from the model correctly classified 93.75% of data from an independent sample of leopard cat presence sites, and the map at a regional scale showed that the cat's habitats are highly fragmented. Protection and restoration of connectivity of critical habitats should be implemented to preserve the leopard cat in mountainous regions of Korea.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.791-800
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• 2004

Purpose: This study was to investigate the characteristics and related factors of breast cancer screening and repeat screening, and to propose nursing interventions to increase the rate of breast cancer screening and repeat screening. Method: Study subjects was 236 women residing in the community, teachers and nurses who were older than 45 were recruited. Data was collected with self administered questionnaires from July 1st to August 31st, 2003 and analysed using SPSS/WIN 10.0 with $X^2$test, t-test, and stepwise multiple logistic regression at a significant level of =.05. Result: The breast cancer screening rate was 57.2%, and repeat screening rate was 15.3%. With the multiple logistic regression analysis, factors associated with mammography screening were age and perceived barriers of action, and factors related to the repeat mammography screening were education level and other cancer screening experience. Conclusion: Based on the results, we recommend the development of anintervention program to decrease the perceived barrier of action, to regard mammography as an essential test in regular check-up, and to give active advertisement and education to the public to improve the rates of breast cancer screening and repeat screening.

• Journal of Korean Academy of Nursing
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• v.34 no.5
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• pp.801-808
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• 2004

Purpose: This study was aimed to identify the effect of self-foot reflexology on the relief of premenstrual syndrome and dysmenorrhea in high school girls. Method: Study subjects was 236 women residing in the community, teachers and nurses who were older than 45 were recruited. Data was collected with self administered questionnaires from July 1st to August 31 st, 2003 and analysed using SPSS/WIN 10.0 with Xtest, t-test, and stepwise multiple logistic regression at a significant level of =.05. Result: The breast cancer screening rate was 57.2%, and repeat screening rate was 15.3%. With the multiple logistic regression analysis, factors associated with mammography screening were age and perceived barriers of action, and factors related to the repeat mammography screening were education level and other cancer screening experience. Conclusion: Based on the results, we recommend the development of an intervention program to decrease the perceived barrier of action, to regard mammography as an essential test in regular check-up, and to giveactive advertisement and education to the public to improve the rates of breast cancer screening and repeat screening.

• Journal of the Korean Data and Information Science Society
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• v.22 no.4
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• pp.691-699
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• 2011

Land sliding is one of well-known nature disaster. As a part of effort to reduce damage from land sliding, many researchers worked on increasing prediction ability. However, because previous studies are conducted mostly by non-statisticians, previously proposed models were hardly statistically justifiable. In this paper, we predicted the probability of land sliding using the logistic regression model. Since most explanatory variables under consideration were correlated, we proposed the final model after backward elimination process.

• Journal of Korean Academy of Nursing Administration
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• v.22 no.4
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• pp.332-343
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• 2016

Purpose: The purpose of this study was to identify factors related to Vietnamese customers who use Korean medical and tourism services. The study was based on the Anderson Models Methods: Participants were 173 Vietnamese who were living in Ho Chi Minh and Hanoi in Vietnam. Data were analyzed using descriptive statistics, ${\chi}^2$, t-test and Multiple Logistic Regression. Results: Research necessary factors had the most significant effect among the preceding factors, possible factors and necessary factors. Human service and outstanding natural beauty of necessary factors had significant influence on customer intention to use. According to the result of the stepwise logistic regression analysis, the most important item in medical services was human service OR=1.89 (p=.014), and for tour services, outstanding natural beauty OR=4.30 (p=.033). The explained variance for customer intention to use was 91.9%. Conclusion: These results suggest the need to improve the human service and outstanding natural beauty to retain customers' intention to use.

• Journal of the Korean Data and Information Science Society
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• v.20 no.5
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• pp.819-827
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• 2009

This study was conducted to investigate the relationship between the sociodemographic factors and the Korean consumers palatability evaluation grades with Hanwoo sensory evaluation data. The dichotomy logistic regression model and the multinomial logistic regression model are fitted with the independent variables such as the consumer living location, age, gender, occupation, monthly income, and beef cut and the the palatability grade as the dependent variable. Stepwise variable selection procedure is incorporated to find the final model and odds ratios are calculated to find the associations between categories.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1133-1146
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• 2015

The Horse race industry has the largest proportion of the domestic legal gambling industry. However, there is limited statistical analysis on horse races versus other sports. We propose prediction models for winning horses in horse races using data mining techniques such as logistic regression, linear regression, and random forest. Horse races data are from the Korea Racing Authority and we use horse racing reports, information of racehorses, jockeys, and horse trainers. We consider two models based on ranks and time records. The analysis results show that prediction of ranks is affected by information on racehorses, number of wins of racehorses and jockeys. We place wagers for the last month of races based on our prediction models that produce serious profits.

• Journal of the Korean Home Economics Association
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• v.39 no.2
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• pp.73-84
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• 2001

The purposes of this study were 1) to identify the effect of clothing benefit sought on fashion image sought and 2) to determine the effects of fashion image and benefit sought on purchase intention of Gal-ot. The data were collected via a self-administered questionnaire from 172 female tourist(20 to 50 ages) in Cheju and analyzed by factor analysis, stepwise multiple regression analysis and logistic regression analysis. Four factors of benefit sought were identified : Practicality/economic-value, aesthetics, reputation, and souvenir-value. Six factors of fashion image were found and labeled as: Sexy/feminine, wild/mannish, easy/simple, Cheju image, ecology and natural image. The effects of benefits sought(Practicality/economic-value, aesthetics, reputation and souvenir-value) on fashion image(Sexy/feminine, easy/simple, Cheju and natural image) were found. There were also significant effects of benefit sought(souvenir-value) and fashion image(Cheju image) on purchase intention of Gal-ot.

• Journal of Korean Biological Nursing Science
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• v.1 no.1
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• pp.56-70
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• 1999

The purpose of this study was to determine the effect of physical activity on bone mineral density(BMD), and osteoporosis risk factors in Korean women. A convenience sample of 115 women completed the survey questionnaire which included the items of physical activity, osteoporosis risk facors, and demographic background. Distal radial BMD was evaluated using DTX-200. The data were analyzed using frequency, percentage, t-test, Pearson Correlation Coefficient, logistic regression, ANOVA, stepwise multiple regression by SPSS WIN. The sample ranged in age from 31 to 78 years(mean=47.67 old). 91.8% were married, 72.2% were housewives, and mean monthly income was 1,094,900won. Mean explain of the women was 1.21MET, and 50.4% of the women were in the physically inactive group. Brisk walking and mountain climbing were frequently cited activities. 1.8% of the subjects smoked, and 27.5% used alcohol. Average daily intake of milk was 1.17 cups and that of caffeine, 1.13 cups. Age, body weight, monthly income, BMI, education level, duration after menopause, menstration status and caffeine. intake were correlated with BMD. In the relationship between the physical activity and BMD, the physically active group showed a higher level of BMD than the physically inactive group. Significant MET decreased was noted with an age increase. In the stepwise multiple regression analysis, body weight, duration after menopause, and the number of children were identified as the most important risk factors. Conclusively, physical activity could be a beneficial effect in the reduction of osteoporosis in Korean women, considering a positive relationship between physical activity and radial BMD.