• Journal of Korea Port Economic Association
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• v.35 no.1
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• pp.57-76
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• 2019

This study deals with the determinants of employment productivity of transportation labor, who are the main agents of the transportation industry that has made significant contributions to our country's industrial development. The study selected the determinants of employment productivity using the Korea Labor and Income Panel Study data, and analyzed the effects of various factors using panel logistic regression, panel OLS model, and panel robust regression. The results were as follows. First, a more positive effect was shown when employees held a regular job, had a "high level of education", "joining the labor union" and "experiencing vocational training". Second, in the case of job security, having a "high level of education" and "joining the labor union" showed a more positive effect; further, job security was higher for employees who worked in a "big company" or were "married". Third, in the case of higher income productivity, higher values of "age", "academic ability" and "company size" had a more positive effect, whereas larger values of "education" and "health condition except job training" had a negative one. Fourth, in the case of job satisfaction, "female", "joining the labor union" and having a higher "income" or "job security" led to higher satisfaction and a better "health condition compared to an average person". Further, a higher "overall life satisfaction" and "economic level" led to lower job satisfaction. The analysis of the determinants of employment productivity of transportation business and seeking for improvement plan is expected to improve the employment productivity in the transportation business.

• Physical Therapy Rehabilitation Science
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• v.12 no.2
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• pp.80-91
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• 2023

Objective: The purpose of this study is to identify factors that affect the incidence of hypertension using logistic regression and decision tree analysis, and to build and compare predictive models. Design: Secondary data analysis study Methods: We analyzed 9,859 subjects from the Korean health panel annual 2019 data provided by the Korea Institute for Health and Social Affairs and National Health Insurance Service. Frequency analysis, chi-square test, binary logistic regression, and decision tree analysis were performed on the data. Results: In logistic regression analysis, those who were 60 years of age or older (Odds ratio, OR=68.801, p<0.001), those who were divorced/widowhood/separated (OR=1.377, p<0.001), those who graduated from middle school or younger (OR=1, reference), those who did not walk at all (OR=1, reference), those who were obese (OR=5.109, p<0.001), and those who had poor subjective health status (OR=2.163, p<0.001) were more likely to develop hypertension. In the decision tree, those over 60 years of age, overweight or obese, and those who graduated from middle school or younger had the highest probability of developing hypertension at 83.3%. Logistic regression analysis showed a specificity of 85.3% and sensitivity of 47.9%; while decision tree analysis showed a specificity of 81.9% and sensitivity of 52.9%. In classification accuracy, logistic regression and decision tree analysis showed 73.6% and 72.6% prediction, respectively. Conclusions: Both logistic regression and decision tree analysis were adequate to explain the predictive model. It is thought that both analysis methods can be used as useful data for constructing a predictive model for hypertension.

• Journal of Digital Convergence
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• v.15 no.5
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• pp.487-494
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• 2017

The purpose of this study was to identify factors which predict problem drinking on adults. Using the data on the Korea Welfare Panel Study for the 7th year, 3,915 people responded to the demographic factor, psychosocial factors and drinking behavior. And the logistic regression analysis was conducted to identify predictors of problem drinking. As a result, 36 percent of those surveyed showed that the problem drinking group. Gender, age, education, occupation, economic status, self-esteem, depression, and satisfaction of family and social relationships were correlated to alcohol use. In addition, the results of logistic regression, gender, age, education, job, self-esteem, depression were predicted problem drinking. Based on these findings, it is recommended practical counterplan that prevention of the problem drinking.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.297-309
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• 2020

This study focuses on the application of the data mining technique logistic regression analysis and decision tree analysis to the domestic public database called Korean Children Youth Panel Survey (KCYPS) to derive a series of important factors affecting the enhancement of life satisfaction of domestic youth. As a result, the general impact factors on life satisfaction for each grade were derived from logistic regression. Using decision tree analysis, we came to conclusions that those factors such as depression, overall grade satisfaction, household economic level, and school adaptation play crucial roles in affecting high school adolesscents' life satisfaction.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.366-374
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• 2015

This study investigated what factors would affect suicidal ideation of the people who have received public assistance. For the purpose, the survey results of the 7th year(2012) of Korea Welfare Panel Study, which were conducted by Korea Institute for health and Social Affairs and Social Welfare Research Institute of Seoul National University, were used for analysis. In order to figure out the level of influence on the suicidal ideation, a binary logistic regression analysis using a binary logistic model was used as an analysis method. As a result, it was found that when the subjects are middle school graduates, and if they are married, there are low suicidal ideation. Also, the higher their self-esteem is and the higher their satisfaction with public assistance, the lower there they have suicidal ideation. Furthermore, it was proved that if they have depression, or in middle age, they have high possibility of suicidal ideation. It was proved that satisfaction with public assistance also can have influence on the suicidal ideation of the poor class, not only physical and psychological factors. Therefore, measuring the satisfaction of the recipients with public assistance can be one of the significant factors that affects suicidal ideation.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.1
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• pp.17-27
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• 2023

Objectives : This study aimed to analyze the factors influencing Korean medical utilization among persons with unmet healthcare needs. Methods : This study utilized Korea Health Panel data in 2019, with 10,771. We performed a t-test and ANOVA on the difference in general characteristics between Korean medical utilization and unmet healthcare needs. Logistic regression analysis and generalized linear model analysis were conducted to analyze on factors affecting the Korean medical utilization by people with unmet healthcare needs. Results : Among people with unmet healthcare needs, the variables influencing Korean medical utilization were western medical utilization, gender, education level, musculoskeletal disease, and other chronic diseases. The more people with unmet healthcare needs, the more likely they were to use Korean medicine. As a result of logistic regression analysis, the influencing factors on Korean medical utilization were analyzed for people with unmet healthcare needs, and the higher the household income, the more musculoskeletal diseases, and the higher the probability of using Korean medicine. Conclusions : Korean medicine has a large proportion of musculoskeletal disease, so it was found that musculoskeletal diseases have an impact. In addition, considering that household income is an important factor in the influencing factor of unmet healthcare needs, it is necessary to increase the use of Korean medicine by those with low household incomes.

• Health Policy and Management
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• v.27 no.4
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• pp.304-314
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• 2017

Background: This study aimed to analyze effects of postpartum care services to women after birth, identify the factors affecting their use, and examine the extent of income-related inequality in the postpartum care services utilization and expenditures using Korean Health Panel data between 2010 and 2013. Methods: The panel data of the year 2010-2013 of the 247 women after birth were used. First, EuroQoL-5D was used to evaluate the effects of postpartum care service to women's quality of life. Second, multinominal logistic regression analysis was used to identify determinants of the use of the postpartum care services. Finally, concentration index and HIwv (horizontal equity) index were used to find that the concentration index for the inequality in the use of postpartum care services showed negative sign, which implied pro-rich. Results: The estimation results showed that utilization of the postpartum services has a positive effect on women after birth. Also age, area of residence, and number of household members turn out to be the factors of using postpartum services. And there are inequality in the use of postpartum care services whose HIwv index showed positive sign, which implied pro-rich. Conclusion: Therefore, the government's policy of the postpartum care service is necessary to be expanded and diversified considering the personal characteristics and equity of the women after birth.

• Health Policy and Management
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• v.33 no.3
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• pp.264-272
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• 2023

Background: Private health insurance supplements the coverage of national health insurance in Korea. In this situation, the subject of the study is to identify the healthcare utilization of people with physical and mental illnesses according to private health insurance. Methods: This study used data from the Korea Health Panel Survey 2018. The study population consisted of 813 individuals with physical and mental illnesses (PMI). Multiple logistic regression analysis and binominal logistic regression analysis were conducted about the utilization of emergency, inpatient, and outpatient medical services of people with PMI depending on enrollment in private health insurance (PHI). Results: The results of this study indicated that individuals with PHI utilized emergency and outpatient medical services less frequently compared to those without PHI. Conversely, having PHI was associated with a higher utilization of inpatient medical services compared to not having PHI. Binomial logistic regression analysis revealed that individuals with PMI who had PHI exhibited a higher frequency of visits to emergency and outpatient medical services compared to those without PHI. However, the significance of this trend was not observed in the case of emergency medical services. On the other hand, individuals with PMI who had PHI showed a lower frequency of visits to inpatient medical services compared to those without PHI. Conclusion: In conclusion, there was a significant relationship between having PHI and the utilization of medical services in people with PMI. There is a need for a follow-up study considering the type of mental illnesses, length of stay, and health outcome of people with PMI depending on having PHI.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.225-235
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• 2020

Purpose: This study is a descriptive and secondary analytical study that uses panel data to analysis of unmet healthcare needs and risk factors for improving life care of osteoporosis patients. Methods: The subjects of this study were 941 patients who were diagnosed with osteoporosis using Korea Medical Panel 2015 data(β-version 1.0). Data analysis was performed using Chi-Square and logistic regression using SPSS/win 22.0. Results: The unmet healthcare needs of osteoporosis patients were 22.6%. The factors of unmet healthcare needs were education level and age in Model I of demographic factors, and eating problems, memory problems, activity limitation, and disability in Model II. In Model III, which added socio-psychological factors, eating problems, memory problems, Total family income, and pain/Discomfort were identified. Conclusion: Based on the results of this study, it should be considered in the planning of medical policies to improve the life care of osteoporosis patients, and it is necessary to improve access to medical services and to prevent and mediate realistically to reduce unmet healthcare needs.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.195-206
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• 2017

The purpose of this study was to identify factors affecting quality of health care. Methods: The data were derived from the 2011-2013 Korea health panel survey (beta version 1.0). The data were analyzed using SPSS 21.0 with descriptive statistics, ${\chi}^2$-test, and multiple logistic regression analysis. In general characteristics, common factors influencing the quality of health care were age, marital status, education level, and subjective health status. In variables related to health care utilization, unmet healthcare needs, and limitation of dental care utilization were the significant factors affecting quality of health care. The results of this study show that various factors influence quality of health care. These findings can be used to develop strategies to improve health care.