• Journal of Environmental Science International
• /
• v.22 no.8
• /
• pp.953-963
• /
• 2013

Reliable long-term streamflow forecasting is invaluable for water resource planning and management which allocates water supply according to the demand of water users. Forecasting of seasonal inflow to Andong dam is performed and assessed using statistical methods based on hydrometeorological data. Predictors which is used to forecast seasonal inflow to Andong dam are selected from southern oscillation index, sea surface temperature, and 500 hPa geopotential height data in northern hemisphere. Predictors are selected by the following procedure. Primary predictors sets are obtained, and then final predictors are determined from the sets. The primary predictor sets for each season are identified using cross correlation and mutual information. The final predictors are identified using partial cross correlation and partial mutual information. In each season, there are three selected predictors. The values are determined using bootstrapping technique considering a specific significance level for predictor selection. Seasonal inflow forecasting is performed by multiple linear regression analysis using the selected predictors for each season, and the results of forecast using cross validation are assessed. Multiple linear regression analysis is performed using SAS. The results of multiple linear regression analysis are assessed by mean squared error and mean absolute error. And contingency table is established and assessed by Heidke skill score. The assessment reveals that the forecasts by multiple linear regression analysis are better than the reference forecasts.

• Korean Journal of Child Studies
• /
• v.31 no.2
• /
• pp.183-195
• /
• 2010

This study sought to investigate the environmental predictors of atopic dermatitis in children. The participants were 1050 (age 3-5) children taken from data data from the Ministry for Health, Welfare and Family Affairs. A data mining decision tree model revealed that the factors of medical neglect, breakfast, attachment to mother, and mother's depression influenced atopic dermatitis in children. Our results revealed that in the factors considered above, medical neglect had the greatest influence upon atopic dermatitis in children.

• Korean Journal of Health Education and Promotion
• /
• v.13 no.1
• /
• pp.28-44
• /
• 1996

The purpose of this study is to examine the associated risk factors for adolescent cigarette smoking. In February 1995, a total of 1793 students from 17 general high schools in Seoul were assessed with a self-completing questionnaire pertaining current smoking status and school.family.peer environmental factors. The results are as follows; 1. The overall proportion of current smoker among students in the study was 17.3%; 27.7% in males and 6.6% in females. 2. There was significant association between smoking status and all school environmental factors (ranks at school, satisfaction at school, study hours after school, extracurricular activity) examined. 3. Siblings smoking in males and family structure in females were significantly associated with the smoking status of students. 4. Functional aspect of family environmental factors, such as APGAR score, parental supervision, attachment to father or to mother were related to smoking status of students. 5. Association with friends who smoke was significantly associated with smoking status of students. 6. In males, association with friends who smoke, ranks at school, siblings smoking were significant positive predictors and APGAR score, parental supervision, attchment to mother were significant negative predictors. In females, association with friends whosmoke, ranks at school, satisfaction at school were significant positive predictors and parental supervision, attchment to father were significant negative predictors. These findings suggest that strategies that influence smoking behavior need to be directed not only to the individual student but also to their peer group, family and school environment.

• Atmosphere
• /
• v.24 no.4
• /
• pp.533-540
• /
• 2014

Statistical forecast models for the prediction of the summertime Changma precipitation have been developed in this study. As effective predictors for the Changma precipitation, the springtime sea surface temperature (SST) anomalies over the North Atlantic (NA1), the North Pacific (NPC) and the tropical Pacific Ocean (CNINO) has been suggested in Lee and Seo (2013). To further improve the performance of the statistical prediction scheme, we select other potential predictors and construct 2 additional statistical models. The selected predictors are the Northern Indian Ocean (NIO) and the Bering Sea (BS) SST anomalies, and the spring Eurasian snow cover anomaly (EUSC). Then, using the total three statistical prediction models, a simple ensemble-mean prediction is performed. The resulting correlation skill score reaches as high as ~0.90 for the last 21 years, which is ~16% increase in the skill compared to the prediction model by Lee and Seo (2013). The EUSC and BS predictors are related to a strengthening of the Okhotsk high, leading to an enhancement of the Changma front. The NIO predictor induces the cyclonic anomalies to the southwest of the Korean peninsula and southeasterly flows toward the peninsula, giving rise to an increase in the Changma precipitation.

• Hwankyungkyoyuk
• /
• v.14 no.2
• /
• pp.106-115
• /
• 2001

So far, most of studies on environmentally responsible behaviors were based on the Hines et. al.(1987)'s behavior model which emphasized mainly personal causes of behaviors. This study was planned to investigate whether self-efficacy and conformity toward social norm could be good predictors for environmentally responsible behaviors or not. In the preliminary study, Several scales on environmental problems were made up for measuring the levels of knowledge, attitude, and behavior from usually used items of previous studies. And, some relevant items to self-efficacy scale and conformity toward social norm scale were selected through factor analysis and reliability analysis recursively. In the main study, Knowledge, attitude, self-efficacy, conformity toward social norm, and behavior of high school students were measured in urban and rural areas. Results showed that students in urban areas took environmentally responsible behavior more often than ones in rural areas, and there were no differences in attitude and sensitivity but significant differences in self-efficacy and confirmity toward social norm between them. According to regression analysis, self-efficacy was the best predictor for environmentally responsible behaviors, and confirmity toward social norm and knowledge were also good predictors. In conclusion, self-efficacy and confirmity toward social norm are better predictors for environmentally responsible behaviors than attitude.

• Journal of Environmental Health Sciences
• /
• v.43 no.2
• /
• pp.130-142
• /
• 2017

Objectives: Although the Korean government is able to implement smoke-free regulations for shared areas in multi-unit housing (MUH), such regulations are limited for private homes. The purpose of this study was to determine the prevalence and predictors of support for the implementation of smoke-free regulations for homes and near the outsides of building among residents in MUH. Methods: A population-based sample of 2,600 residents among a web-based panel in Seoul was included. The residents completed questionnaires including smoking status, voluntary smoke-free home rules, and support for the implementation of smoke-free regulations for homes and near the outsides of building. The presence of a voluntary smoke-free home rule was determined when residents declared that no one smoked inside their homes. Results: Among the 2,600 MUH residents, prevalence of support for the implementation of smoke-free regulations for homes was higher (83.2%) than for near the outsides of buildings (75.1%). Support for the implementation of smoke-free regulations for homes was higher when residents were non-smokers, had voluntary smoke-free home rules, lived with children, lived with more residents, lived in owned homes, lived in apartments, and lived in homes with more frequent secondhand smoke (SHS) incursion. Support for the implementation of smoke-free regulations near the outsides of buildings was higher when residents were women, non-smokers, more educated, had a voluntary smoke-free home rule, lived with children, lived in homes with more frequent SHS incursion, and lived in a commercial area. Conclusions: The majority was supportive of the implementation of smoke-free regulations for homes. Predictors identified in the study can be useful for promoting implementation of smoke-free regulations for homes in MUH.

• Korean Journal of Human Ecology
• /
• v.24 no.3
• /
• pp.341-358
• /
• 2015

This study aims to identify predictors of driving cessation among Korean elderly. Data from 2011 Elderly Survey conducted by Ministry of Health and Welfare and Korea Institute for Health and Social Affairs were used for the analysis. Based on Webber, Porter, Menec(2010)'s comprehensive theoretical framework for mobility, the model of this study tests five major determinants of driving cessation including financial, psychosocial, environmental, physical and cognitive factors. Results of logistic regression analysis showed that economic status, marital status, contacts with relatives and friends, residential location, taking medication, muscle strength, age, gender, and job were significant predictors of driving cessation of older drivers. Specifically, lower economic status, unmarried status, less contacts with relatives and friends, living in the city, taking medication, weaker muscle strength, older age, female, non-working status were significant risk factors for driving cessation. Practical implications in light of study findings were discussed.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.26 no.2
• /
• pp.269-282
• /
• 1998

The visual preference of interiors focusing on lobbies was investigated as a function of six predictor variable on the base of the Informational Approach: complexity, coherence, mystery, spaciousness, brightness, plant. The Common Fcator Analysis of preference ratings yielded six common factors which helped to account for 22.3 percent of the variance in preference response to the scene. Among these factors, the factor defined as 'bright with many plants' was the most preferred and the factor defined as 'simple and closed' was the least preferred. The environmental attributes reflected in six groups of scenes were colour, resting place, window and the six predictors. In the commercial building scenes, complexity, spaciousness, coherence, brightness and mystery out of six predictors accounted for 74 percent of preference variance as the significant contributors. In the business building scenes, three predictors which are brightness, complexity, spaciousness accounted for 84 percent of preference variance. 'The amount of plant' not only influenced the preference indirectly through the intervening variable, complexity, but also was moderately correlated with brightness. The overall pattern of the resulted confirmed the usefulness of the Informational Approach to predict the preference in interiors focusing on lobbies.

• 대한약리학회:학술대회논문집
• /
• 2006.10a
• /
• pp.88.2-88.2
• /
• 2006

• Journal of Preventive Medicine and Public Health
• /
• v.42 no.1
• /
• pp.59-66
• /
• 2009

Objectives : This study was performed using a longitudinal approach to explore the predictors for current smoking among male high school students. Methods : Baseline data was collected in May 2004 through a self-administrated questionnaire completed by 607 male students in a technical high school in Daegu city, Korea. Subsequently, their smoking behaviors were followed one year after. Among the 544 followed participants, data for 439 non-smokers in the first year was used in longitudinal analysis. Current smokers were defined as those respondents who had smoked one or more cigarettes within the 30 days preceding the survey. Several potential predictors for smoking were investigated including smoking history(never, experimental, former smoker), sociodemographic factors, environmental factors, attitudes toward smoking, and behavioral factors. Logistic regression was used to predict smoking with SPSS ver. 12.0. Results : According to multiple logistic regression analysis, those students who were more likely to smoke after one year were former smokers(OR: 2.12, 95% CI=1.01-4.44), current drinkers(OR: 2.55, 95% CI=1.33-4.89), who had four or five smokers among five best friends(OR: 3.43. 95% CI=1.14-10.30). In addition, those who had smokers among family members besides parents or siblings(OR: 1.66, 95% CI=0.92-2.98), exhibited a high level of subjective stress(OR: 1.77, 95% CI=0.96-3.26), or had a very good relationship with friends(OR: 1.93, 95% CI=0.99-3.75) were also more likely to smoke albeit with marginal statistical significance(p<0.1). Conclusions : A smoking prevention program aimed at high school students may be more effective with due consideration of the predictors highlighted in this study. However, further studies with larger sample size and various target populations are necessary to find potential predictors not found in this study but suggested in other longitudinal studies.