• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.151-158
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• 2020

In this paper, we propose the basic data for cancer patient management by secondary analysis of data from the National Health and Nutrition Survey(KNHANES) to identify factors related to suicidal thinking of cancer patients over 19 years of age in Korean adults lapse of time. The data were analyzed using the IBM SPSS WIN 22.0 program in order to analyze the demographic, health, and mental characteristics of the subjects in 2009 and 2017. It was analyzed using logistic regression analysis. As a result of the study, the factors related to suicidal thinking in cancer patients were activity restriction and experience of depression in 2009(Negelkerke R²=.384), and age, marital status, activity restriction, and experience of depression in 2017(Negelkerke R²=.525). This study is meaningful in that the factors related to suicidal thoughts in cancer patients were identified according to the lapse of time, and the changes in the related factors were confirmed. Development and application of an intervention program to prevent suicide in cancer patients are necessary.

• Journal of Convergence for Information Technology
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• v.11 no.1
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• pp.199-207
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• 2021

This study was attempted to understand the effect of the violence victim experience of Korean adolescents on smoking using the data of the 15th (2019) online youth health behavior survey. The subjects of this study were 57,303 people, and the data were analyzed using the SPSS / Win 26.0 program for frequency analysis of complex samples, cross sample analysis (Rao-Scott ��2 test), and logistic regression analysis of complex samples. The main result was 12.7% of the smoking subjects. Those who smoked were significantly more 9.6% and 22.0%, respectively, compared to those who had no more than 1 or 2 times of violence. Smoking of Korean adolescents adjusted for gender, grade, academic record, economic status, drinking, family living, and usual stress increased the odds ratio for smoking by 1.66 times when the degree of violence damage experience increased by 1 unit. As a result of the above, as the degree of violence victimization of adolescents increases, the likelihood of smoking increases. Therefore, it is necessary to multidisciplinary convergence effort to the prevention and management of violence of adolescents, and to reduce the smoking of adolescents.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.21-28
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• 2017

This study aims to identify individual and familial factors associated with youth sexual experience by using the nationally representative sample data in South Korea. Specifically, we select 68,043 students in middle and high schools participating in the 2015 Korea Youth Risk Behavior Web-based Survey. Considering the complex survey design, we conduct a descriptive analysis and multiple logistic regression for sexual experience. The main results identify factors on sexual experience such as age, type of school, stress level, drinking, smoking, economic status, and cohabiting parents. In particular, the drinking and smoking behaviors are positively associated with sexual experience and the youth living with neither parent is more likely to have a sexual experience than those who lived two parents. In conclusion, the plan of sex education should consider the risk factors and the quality of sex education should be enhanced in order to build more appropriate sexual culture and behaviors among the youth.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.121-130
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• 2024

This study utilized data from 1,068 women aged 40-59, drawn from the 8th Korea National Health and Nutrition Examination Survey (KNHANES) conducted in 2020, to investigate factors impacting subjective health perception and health-related quality of life. Methodologically, STATA 15.0 was employed for complex sample mean and standard deviation calculations, complex sample weighted percentages, complex sample t-tests, and multiple regression analyses. Common factors influencing both subjective health and health-related quality of life included education level, household size, depression, and stress. Age, binge drinking, and physical activity were identified as factors influencing subjective health perception. Insurance type, employment status, and sleep disorders emerged as factors impacting health-related quality of life. Recognizing middle age as a crucial transitional phase into old age, the development of health policy programs aimed at enhancing subjective health and health-related quality of life during this period is deemed essential.

• Survey Research
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• v.5 no.2
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• pp.49-70
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• 2004

This paper is a broad review about general regression estimators, which are very useful when auxiliary variables are available in survey sampling. We investigate the process of development of general regression estimators from birth to suggestion of variance estimation method and examine some properties of general regression estimators by comparing with calibration and QR estimators. We also present some forms of general regression estimators available under complex sampling designs such as stratified sampling and cluster sampling. Finally, we comment some advantages as well as disadvantages of general regression estimators and theoretical and practical development in the future.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.467-479
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• 2014

The purpose of this study was to provide the data for discussion related to oral health promotion policies for the elderly by examining and analyzing the prosthesis conditions and necessity for the fixed and removable dentures among the Korean elderly. The data, obtained from 4,557 elderly aged at 65 or higher who were targeted for the 5th National Health Nutrition Survey, were analyzed through the complex sample frequency analysis, complex sample cross analysis, and complex sample logistic regression analysis. The results of analysis showed significant relevance of whole denture implant and the necessity thereof in older subjects, rural community, and subjects with lower education background, regarding the state of upper jaw/lower jaw prosthesis and the necessity for upper jaw/lower jaw fixed partial denture/whole denture. In addition, the necessity for prosthesis implant was found to have correlation with the income and subjective health condition, while the necessity for artificial teeth(denture) was found to have correlation with the gender, age, education, and subjective oral health condition. Therefore, it is considered necessary to map out the prevention and treatment policies designed to help maintain and promote oral health based on oral health education, along with the policies that aim to recover the neutralized oral health functions, in relation to the oral health of the elderly.

• Journal of the Korean Data and Information Science Society
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• v.27 no.5
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• pp.1317-1325
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• 2016

The purpose of this paper is to explain the factors affecting the wage of the vocational high school graduates. We particularly examine the effectiveness of controlling sample selection bias by employing the Tobit model and Heckman sample selection model. The major results are as follows. First it is shown that the Tobit model and Heckman sample selection model controlling sample selection bias is statistically significant. Hence all the independent variables seem to be statistically consistent with the theoretical model. Second, gender was statistically significant, both in the probability of employment and the wage. Third, the employment probability and wage of Maester high school graduates were shown to be high compared to all other graduates. Fourth, the higher parent's income, the higher are both the employment probability and the wage. Finally, parents education level, high school grade, satisfaction, and a number of licenses were found to be statistically significant, both in the probability of employment and wages.

• Proceedings of the Korean Association for Survey Research Conference
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• 2003.06a
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• pp.34-41
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• 2003

In many cases, the measurement error variances may be functions of the unknown true values or related covariates. This paper develops estimators of the parameters of a linear measurement error variance function based on wi thin-unit sample variaoces. This paper devotes to: (1) define measurement error scale factor $\delta$: (2) develop estimators of the parameters of the 1inear measurement error variance function under stratified multistage sampling design and small error conditions; (3) use propensity methods to adjust survey weights to account for possible selection effects at the replicate level. The proposed methods are applied to medical examination data from the U S Third National Health and Nutrition Examination Survey(NHANES III)

• Journal of Digital Convergence
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• v.18 no.9
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• pp.277-283
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• 2020

The purpose of this study was to identify the risk factors influencing stroke. The research method was used two-stage stratified cluster sampling using data from the National Health and Nutrition Survey (2016-2018). This study subjects performed a complex sample logistic regression analysis on adults aged 19 or older. Risk factors affecting stroke were shown as follows: in age groups, odds ratio were conformed when people are in their 70s, the rate is 8.861 times higher; when they are in their subjective health conditions, the odds ratio are 4.501 times higher in the bad groups; odds ratio was 3.158 times higher in the group diagnosed with hypertension and 1.598 times higher in the group diagnosed with diabetes. The result of this study found that chronic diseases such as high blood pressure and diabetes and the management of senior citizens are important because stroke is dangerous and can be managed through prevention.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.436-436
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• 2018

하천의 조도계수는 하상 입자들의 크기 및 형상, 식생, 수로의 만곡 등 흐름특성에 영향을 주는 복합적인 경험적 매개변수이므로 그 값을 정확히 산정하는 것은 매우 어렵다(Chow, 1959). 제주도 산지하천은 하상이 매우 불규칙하고 조도계수의 불확실성으로 인해 정확한 홍수위, 홍수량 산정이 어렵다. 또한 하상경사가 매우 급하여 상류와 사류가 복합적으로 발생하므로 수치모의 시 수위차가 크게 발생할 우려가 있다. 따라서 현장실측 기반의 하천 조도계수 산정을 통한 홍수위, 홍수량 산정에 정확도를 향상시킬 필요가 있다. 이 연구에서는 제주도 북부지역의 건천(한천, 병문천, 독사천, 산지천)을 대상으로 하상재료를 직접 실측하여 하상 입경을 이용한 조도계수를 산정하였다. 실측 방법은 대상하천의 현장답사 및 현장조사를 사전에 실시하였으며, 하천의 종단 방향으로 1km 간격, 100개 이상의 하상재료를 표본으로 취하고 선격자법을 적용하였다. 대상하천 하류부의 좌안, 우안은 대부분 하천 정비에 의한 제방 구축이 되었으며, 상류부는 경사가 급한 암질로 구성되어 있으므로 하상을 중심으로 구성물질의 입경과 조고를 측정하여 상류 흐름의 영향범위를 고려한 조도계수를 산정하였다. 표본 측정시 점 사주, 여울, 웅덩이 등 국부적으로 하상재료의 변화가 심한 구역은 피하고 가급적 해당 구역에서 보편적으로 산재된 하상재료를 선택하였다. 향후 부정류 모형인 HEC-RAS를 이용하여 실측 유량과 수위를 적용한 조도계수를 산정한다면 보다 정밀한 조도계수를 산정할 것으로 판단된다.