• Research in Community and Public Health Nursing
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• v.32 no.3
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• pp.281-291
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• 2021

Purpose: This study examined health determinants at a community level and put forward to a typology of five different forms of community health vulnerabilities. We also investigated the differences in the prevalence of chronic diseases, self-rated health, and quality of life (EQ-5D) among the five types. Methods: Latent class analysis was applied to material, social capital, and health behavior vulnerability variables across 255 regions of South Korea. The data came from 2017 & 2019 Community Health Survey. Results: We found five types of community health vulnerabilities: Type 1 group had the highest material vulnerabilities compared to Type 5. The typology was found to be significant in all the regression analysis on the prevalence of chronic diseases (hypertension and diabetes), self-rated health status, and quality of life. In the regions with high material vulnerabilities, the material vulnerability appeared the most effective to the health status of individual's. In the other regions with less material vulnerabilities, the social capital and health behavior resources were found to be effective. Conclusion: A comprehensive measure of vulnerability can be helpful to understand community health. Policy makers need to consider the level of material vulnerability when planning for a health promotion project.

• Journal of Science Education
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• v.44 no.3
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• pp.318-330
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• 2020

This study has been conducted to identify the types and longitudinal changes in the career values of students in science core school. Data collected from 174 students in science core school were analyzed using 11 career value items. First, this study found that there are three types of career value shown in students in science core schools. Second, the career value of students in science core school did not differ by their track. Third, many students of science core high schools have little or no change in their career value values depending on the time of collecting data. However, some students show rapidly changing career values. These findings suggest the need for individualized career education based on the changing trend of students' career values.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.415-424
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• 2021

The life of studying abroad includes not only school life, but also various areas such as economy, social relationship, and culture, so the level of satisfaction in each area could be differently shown in each individual. Based on this critical mind, this study aims to analyze the satisfaction with life of studying abroad in the multidimensional perspective. To analyze this, a latent class analysis was applied to identify subgroups, and a multinomial logistic regression model was applied to verify factors influencing group classification. The results of the analysis could be summarized into two. First, there were sub-groups showing different satisfaction with life of studying abroad. The sub-groups showed different levels of satisfaction in five areas such as housing, economy, social relationship, study, and culture, which were not discerned in single dimension. Second, the classification of group was complexly influenced by academic factor, psychological/emotional factor, and environmental factor. Especially, the predictive factor had different influences on each sub-factor. Based on such results of this study, this study aims to seek for the practical and policy-level suggestions for improving foreign students' satisfaction with life of studying abroad.

• Journal of Family Resource Management and Policy Review
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• v.26 no.3
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• pp.1-17
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• 2022

This study focused on the heterogeneity of groups in single-person households, to identify how middle-aged single-person households is categorized by sub-groups and to come up with policy measures to overcome social exclusion by examining predictive factors for the type of social exclusion. Potential class analysis and multinomial logistic regression analysis were conducted on a total of 361 middle-aged single-person households using the 14th Korea Replication Panel data. The social exclusion index of these households was measured consisting of 10 six-dimensional indicators. The results showed that middle-aged single-person households had five different types: "non-exclusion"(29.6%), "health restriction"(14.3%), "interact restriction and middle-risk multiple-exclusion" (12.0%), "income and health exclusion"(14.1%), and "high-risk multiple-exclusion"(30.0%). More than 70% of the respondents experienced social exclusion, and most of the exclusion types were multiple exclusion. When examining the factors affecting each exclusion type, the 'subjective health level' was a common major predictor, and family interact, age and leisure activity satisfaction variables were significant predictors of the 'high-risk multiple exclusion type' and 'the interact restriction and middle-risk multiple-exclusion type'. Based on these results, a multidimensional intervention strategy is an effective measure to solve the social exclusion problem of middle-aged single-person households, and practical measures should be considered by strengthening 'health' and exchanges.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.6
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• pp.21-35
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• 2022

With the support of local and central governments, various incentive policies for "green" cars have been established, and the number of electric vehicle users has been rapidly increasing in recent years. As a result, much attention is being given to establishing a user-centered charging infrastructure. A standard for the number of electric vehicle chargers to be supplied is being prepared based on building characteristics, but there is quite limited research on the appropriate ratio of slow and fast chargers based on the characteristics of each place. Therefore, this study derived an appropriate penetration ratio based on data about the distribution ratio of common slow chargers. These data were collected using a survey of actual electric vehicle users. Next, an analysis was done on how to categorize the needs of charging environments and to determine what criteria or characteristics to use for categorization. Based on the results of the survey analysis, three types of places were derived. Type-1 places require 10% of chargers to be slow chargers, Type-2 places require 40-60% of chargers to be slow chargers (i.e., around equal distribution of slow and fast chargers), and Type-3 places require more than 80% of chargers to be slow chargers. The required levels of slow chargers were classified by place type and by individual using latent class cluster analysis, which made it possible to categorize them into five clusters related to socioeconomic variables, vehicle characteristics, traffic, and charging behaviors. It was found that there was a high correlation between charging behavior, weekend travel behavior, gender, and income. The results and insights from this study could be used to establish charging infrastructure policies in the future and to prepare standards for supplying charging infrastructure according to changes in the electric vehicle market.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.4
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• pp.337-345
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• 2020

This study analyzed the longitudinal trajectories of father's depression and the changes of relevant parenting practice in fathers' as well as the problematic behaviors and school adaptation of their children. To address these goals, the data from 1,172 samples from the 4th to 8th Korean Children and Youth Panel Survey (KCYPS) was analyzed. The results of this study indicated that the fathers' depressive levels are classified into three latent groups: 1) the high-changing group, 2) the middle-low changing group, and 3) the low-low changing group. The results also revealed that the fathers within the low-low changing group practiced more authoritative but permissive parenting than the fathers in the two other groups. Children from high-changing group showed more problematic behaviors than the children of the two other groups. In addition, the children from the low-low changing group reported higher school adjustment such as academic achievements, and relationships with peers and teachers. Based on these findings, the study discusses the implications for social work practice and further studies.

• Korean Journal of Radiology
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• v.24 no.2
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• pp.155-165
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• 2023

Objective: Little is known about the effects of using different expert-determined reference standards when evaluating the performance of deep learning-based automatic detection (DLAD) models and their added value to radiologists. We assessed the concordance of expert-determined standards with a clinical gold standard (herein, pathological confirmation) and the effects of different expert-determined reference standards on the estimates of radiologists' diagnostic performance to detect malignant pulmonary nodules on chest radiographs with and without the assistance of a DLAD model. Materials and Methods: This study included chest radiographs from 50 patients with pathologically proven lung cancer and 50 controls. Five expert-determined standards were constructed using the interpretations of 10 experts: individual judgment by the most experienced expert, majority vote, consensus judgments of two and three experts, and a latent class analysis (LCA) model. In separate reader tests, additional 10 radiologists independently interpreted the radiographs and then assisted with the DLAD model. Their diagnostic performance was estimated using the clinical gold standard and various expert-determined standards as the reference standard, and the results were compared using the t test with Bonferroni correction. Results: The LCA model (sensitivity, 72.6%; specificity, 100%) was most similar to the clinical gold standard. When expert-determined standards were used, the sensitivities of radiologists and DLAD model alone were overestimated, and their specificities were underestimated (all p-values < 0.05). DLAD assistance diminished the overestimation of sensitivity but exaggerated the underestimation of specificity (all p-values < 0.001). The DLAD model improved sensitivity and specificity to a greater extent when using the clinical gold standard than when using the expert-determined standards (all p-values < 0.001), except for sensitivity with the LCA model (p = 0.094). Conclusion: The LCA model was most similar to the clinical gold standard for malignant pulmonary nodule detection on chest radiographs. Expert-determined standards caused bias in measuring the diagnostic performance of the artificial intelligence model.

• 한국노년학
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• v.39 no.3
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• pp.467-484
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• 2019

The purpose of this study is to explore latent classes of longitudinal medical expenses of older people and to analyze its predictors and its effects on subjective health. Among participants of the Korean Health Panel, the sample of this study includes 1,119 people who is 65-year-old or older and reported their medical expenses for nine consecutive years. The analyses were conducted in three steps. First, Growth Mixture Model (GMM) was applied to find distinct subgroups showing similar patterns in medical expenses. The results showed four groups which were classified as high medical expenditure maintenance group, medical expenditure increase group, low medical expenditure maintenance group, and medical expenditure reduction group. Second, the multinominal logistic regression found that the presence of spouse, economic participation, the number of chronic diseases, and the type of health insurance were significant predictors of latent classes in medical expenses. In particular, the greater the number of chronic diseases, the higher the likelihood of belonging to the high medical expenditure maintenance group. In addition, medical benefit recipients are more likely to belong to the low medical cost maintenance and medical cost reduction groups. Third, multiple regression analysis revealed that the older people in the groups with low or reducing expenses reported better subjective health than people with higher expenses. This study has its meanings in exploring the heterogeneity in longitudinal medical expenses among older people and its predictors and its associations with health outcome. The results of this research provide background information in establishing public health policy for older people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.71-81
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• 2019

To extend the potential benefits of error, the current study examined factors that affect students' error perception in the classroom. An experimental design was used to measure relations of classroom goal structure, feedback, and social relationships on students' perception of error. A total of 316 fourth-, fifth-, and sixth-grade elementary students participated as part of their regular class curriculum. Self-reported questionnaires were administered to measure students' perception of errors and relationships with teacher and peers, and then students were manipulated by classroom goal structure and feedback. Multiple regression analysis results suggested that students' perception of learning from error was affected mostly by relationships with peers, followed by relationships with teacher and the type of feedback. Students' perception of risk taking for error was also affected by relationships with peers and teacher, followed by the classroom goal structure. However, classroom goal structure and feedback did not affect their perception of thinking about error to improve their learning as well as error strain. These results imply how the classroom climate should be structured to improve perception of errors to improve student's learning.

• Science of Emotion and Sensibility
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• v.12 no.4
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• pp.557-564
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• 2009

For scoring polygraph charts, the Prosecutors' Office of the Republic of Korea uses a consistency criterion in which an elevated signal on one physiological channel is scored as a deceptive response only if the signal is also elevated on other channels. In the current study, the effects of this scoring criterion on reliability and accuracy (validity) of polygraph scores were assessed. Polygraph tests on 26 suspects were evaluated twice by the same examiners. The examiners used the consistency criterion in the first evaluation. In the second evaluation, the examiners were prevented from using the criterion; the signals from each physiological channel were separated and randomly arranged before they were rescored by the same examiner. Reliability was assessed by the variation among the scores for each suspect. Accuracy was assessed by establishing a standard, based on a Latent Class Analysis model, using the results of polygraph tests on each of 182 additional suspects. Reliability and accuracy were both improved by the use of the consistency criterion which therefore was recommended.