• Journal of Digital Convergence
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• v.15 no.4
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• pp.327-337
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• 2017

The purpose of this study is to identify the current state of paid care services and to identify the factors that affect the utilization of private nursing services. This study constructed and utilized the Korean Health Panel data (2011-2014) in the form of panel data, and selected 5,110 patients who had experience using one or more hospitalization services per year. STATA 12.0 SE was used for data processing and analysis of this study. Frequency analysis was performed to confirm basic characteristics of hospitalized patients. Cross-analysis and t-test were conducted to confirm the status of paid care services according to characteristics. Respectively. Finally, panel logistic regression was performed by applying a hierarchical method to stepwise modeling the three categories of Andersen's Behavioral Model to identify factors affecting the use of paid care services for inpatients. The results showed that the use of paid nursing services was higher in women, elderly, long - term hospitalized and disabled. On the other hand, significant household income variables in private employment did not show significant results. The results of this study are expected to be used as basic data for the selection of the nursing care integrated services under discussion. In addition, detailed discussions on the selection of subjects should be made in the future.

• Survey Research
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• v.12 no.3
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• pp.173-186
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• 2011

We introduced the methodologies used to construct the longitudinal weights and cross-sectional weight that are required for the analysis of Korea Youth Panel Survey. To analyze the longitudinal dynamic change of the population, we derived the longitudinal weight through nonresponse adjustment based on logistic regression and post-stratification. Cross-sectional weights that are necessary to produce an asymptotically unbiased estimator of the population parameter were constructed through simple nonresponse adjustment based on overall response rate and post-stratification.

• Journal of Korean Academy of Nursing
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• v.50 no.2
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• pp.191-199
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• 2020

Purpose: The purpose of this study was to compare sociodemographic characteristics of a normal cognitive group and mild cognitive impairment group, and establish prediction models of Mild Cognitive Impairment (MCI). Methods: This study was a secondary data analysis research using data from "the 4th Korea Longitudinal Study of Ageing" of the Korea Employment Information Service. A total of 6,405 individuals, including 1,329 individuals with MCI and 5,076 individuals with normal cognitive abilities, were part of the study. Based on the panel survey items, the research used 28 variables. The methods of analysis included a χ²-test, logistic regression analysis, decision tree analysis, predicted error rate, and an ROC curve calculated using SPSS 23.0 and SAS 13.2. Results: In the MCI group, the mean age was 71.4 and 65.8% of the participants was women. There were statistically significant differences in gender, age, and education in both groups. Predictors of MCI determined by using a logistic regression analysis were gender, age, education, instrumental activity of daily living (IADL), perceived health status, participation group, cultural activities, and life satisfaction. Decision tree analysis of predictors of MCI identified education, age, life satisfaction, and IADL as predictors. Conclusion: The accuracy of logistic regression model for MCI is slightly higher than that of decision tree model. The implementation of the prediction model for MCI established in this study may be utilized to identify middle-aged and elderly people with risks of MCI. Therefore, this study may contribute to the prevention and reduction of dementia.

• The Korean Journal of Health Service Management
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• v.14 no.1
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• pp.137-146
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• 2020

Objectives: The aim of this study was to investigate cognitive function decline by socio-demographic and health-related characteristics (health behaviors and health status) using 5th Korean Longitudinal Study of Aging panel data. Methods: The subjects were 4,440 community-dwelling people aged over 57 years. The data were analyzed with descriptive statistics, frequency analysis, χ²-test, and binary logistic regression analysis using SPSS ver. 25.0. Results: The findings revealed that socio-demographic characteristics (gender, age, area of residence, educational level, marital status, number of children, number of grand-children) and health-related characteristics (smoking, drinking, regular exercise, weight category by body mass index, hypertension and diabetes mellitus) were factors that influenced cognitive function decline (p<.05). Conclusions: Cognitive function decline was closely related to health behaviors and disease types. Future studies must examine related constructs to accurately determine these relationships among various populations. The present study could be used as a tool for the development and implementation of health promotion and prevention strategies.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.522-531
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• 2017

The purpose of this study was to explore the relationship between partner violence and depression in the elderly. This secondary analysis study used the data from 2015 Korean Welfare Panel Study. A total of 2,819 older adults who completed the survey about demographic characteristics, health-related characteristics, satisfaction in the relationship with children, satisfaction in social relationship, partner violence, and depression. Data were analyzed with SPSS 23.0 by using descriptive analyses, independent t-tests, $x^2$-tests, bivariate logistic regressions, and hierarchical logistic regressions. In the results of hierarchical logistic regressions, after controlled demographic and health related characteristics, satisfaction in the relationship with children, and satisfaction in social relationship, partner violence was significantly associated with depression in both male and female older people. In conclusion, it is important to make a prevention program to reduce partner violence and depression for not only female but also male older adults.

• Journal of the Korea Convergence Society
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• v.10 no.7
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• pp.391-397
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• 2019

In 2016, the number of suicides per 100,000 population in Korea was 24.6, which is the highest record of OECD countries. The number of suicide deaths increased with age. Elderly people have a higher risk of completed suicide than any other age group. The purpose of this study was to analyze the panel data of the Korean Welfare Panel Study to identify the factors affecting the suicide of Korean older people. This study analyzed the data of the 11th Korean Welfare Panel Study, which was constructed in 2016. The mean age of the participants was 75.55 years and 37% were man and 63% were women. The annual prevalence of suicidal ideation was 3.4%. The effects of depression(Exp(B)=1.113) and subjective health status((Exp(B)=.767) on suicidal ideation was statistically significant by stepwise logistic regression analysis(Nagelkerke $R^2=.248$). Therefore, for the effective application of suicide prevention program for the older people, assessment of subjective health status and depression screening should be preceded.

• Korean Journal of Health Education and Promotion
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• v.31 no.3
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• pp.39-50
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• 2014

Objectives: The purpose of this study is to examine the factors for self-rated health by gender in South Korean adolescents. Methods: The population consisted of a nationally representative sample of adolescents(n= 37,414 boys, 37,522 girls) in middle and high school who completed the Korea Youth Risk Behavior Web-based Survey(KYRBWS) in 2011. Using logistic regression analysis, self-rated health was regressed on all predictors, including socioeconomic factors, behavioral and psychological factors. All analysis were conducted according to gender. Results: Girls showed more negative self rated health than boys (respectively 28.4%, 40.7%). Adolescent perceptions of health was associated with socioeconomic status, behavioral and psychological factors. Logistic regression analysis revealed that physical activity, body weight perception, despair, level of happiness and stress were the main influencing factors. Conclusions: The findings show that adolescent perceptions of their health are associated with overall sense of functioning, which are associated with health behaviors and psychological factors. Further interventions that focus on improving health behaviors and psychological health may make adolescents more healthy.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.159-166
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• 2023

This study analyzed what consumer characteristics affect the experience of using overseas direct purchase at a time when the overseas direct purchase market is rapidly increasing and consumers' interest in overseas direct purchase is increasing accordingly. For the study, personal data from the 2022 Korea Media Panel Survey were used, and data from 6,734 people who responded "yes" or "no" to whether or not to use overseas direct purchase among 9,941 total respondents were used for analysis. In addition, three variables (demographic, media utilization status, values and lifestyle) were selected among the items of the Korea Media Panel Survey. First, general characteristics were analyzed fo 6,734 people, then, Chi-square test and t-test were performed for comparative analysis between each variable according to the use of overseas direct purchase. Finally, logistic regression analysis was performed to identify the factors affecting overseas direct purchase. As a result of the analysis, 4 out of 5 demographic variables, 2 out of 3 media utilization variables, and 3 out of 7 values and lifestyle variables were derived as decisive factors for using overseas direct purchase. These results can be used to establish marketing strategies that can increase the use of consumers through domestic shopping malls, such as providing differentiated services for the sale of overseas direct shopping products on domestic shopping sites.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.213-224
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• 2020

Purpose: This study is a descriptive and secondary analytical study that uses panel data to identify the factors of medication adherence to improve life care of hypertensive patients. Methods: The subjects of this study were 2,484 patients who were taking medication after hypertension using Korea Medical Panel 2015 data (β-version 1.0). Data analysis was performed using Chi-Square, Scheffe's test, and logistic regression using SPSS/win 22.0. Results: The level of medication adherence in patients with hypertension was 94.2%. The factors of medication adherence were gender and age in Model I of demographic factors, and the presence of disability, smoking, and drinking in Model II. Model III, which added drug use factors, was identified as drinking, drug duration, side effects, drug satisfaction, and payment of drug costs. Conclusion: In order to improve life care for hypertension patients, education and interventions on the importance of take medication and side effects of medications and how to take them will be needed in the early stages of diagnosis.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.616-625
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• 2018

The purpose of this study was to analyze the relationship between the BMI and suicidal ideation using Korean Health Panel data from 2009 to 2013 to identify risk factors for suicide. We conducted a logistic regression analysis using the R statistical package to analyze the relationship between the BMI and the suicidal ideation. The results of this study show that all models with BMI had a statistically significant as a significant variable. It was found that the obese group was more likely to suicide ideation than the other groups. Based on these results, we try to find social implications for suicide prevention and intervention.