In this study, in order to understand the social psychological characteristics of college male students majoring in beauty, PAI tests were conducted on 163 university students located in Gyeonggi-do and Chungnambuk area in 2020. First, when comparing the average scales of men who majored in beauty and men who majored in general, the major male students of beauty showed an overall high clinically recognized type compared to students who majored in beauty, and a negative impression on a valid scale (NIM) considered treatment for physical complaints (SOM), depression (DEP) and drinking problems (ALC) on a clinical scale, and a significant difference was shown on a suicide idea (SUI) scale. Secondly, in order to navigate the PAI scale that significantly predicts beauty major male students, a stepwise regression analysis was performed using 15 significant scales as search factors in comparison between beauty major male and general major male students. As a result, physical complaints (SOM) and depression (DEP) scales were extracted, which became a factor that can predict male students in beauty major. Therefore, it can be understood that the male students in the beauty major have behavior patterns that are more obsessed with and more impulsive to physical problems than the male majors. These results will provide a lot of suggestions for the selection of future male students in beauty major, selection, management, education, consultation materials, and selection of occupations after graduation.
This study was conducted with female college students in their 20s living in Henan Province, China, who had experience with TikTok. The relationship between TikToker's fashion and consumers' empathy, favorability, and purchase intent is verified. The questionnaires were administered for 10 days from February 1 to February 10, 2022. A total of 316 questionnaires were used for the final analysis, and statistical processing of the collected data was performed using SPSS 26.0 for frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, and regression analysis. The results of the analysis are as follows. First, Chinese female college consumers' empathy for women's TikToker fashion positively influenced favorability and purchase intention. Second, Chinese female college consumers' favorability of women's TikToker fashion positively influenced purchase intentions. Based on the results of this study, the following insights can be proposed. When promoting TikTok marketing, attention should be paid to the choice of TikToker. If choose the right TikToker, you can not only increase the favorability of TikToker fashion products but also increase the purchase intention of TikToker fashion. Choosing TikToker with charm, rich emotion, and beautiful appearance help product sales.
The purpose of this study was to identify the effect of family resilience on willingness for self-sufficiency in self-sufficiency program participants and to verify the mediating effect of mental health in the relationship. The survey subjects were 283 participants from a local self-support center in Gangwon-do. As for the analysis method, descriptive statistics and difference verification were performed. Also, hierarchical regression analysis and mediating effect method were performed to verify the research model. First, as a result of the difference test, the level of self-support was higher when there was a caring family. The level of family resilience was higher in those who were in their 40s and 50s than in their 30s or less, married than unmarried, had normal or excellent health conditions than deplorable health conditions, and had a caring family. Mental health quality was higher in very healthy people rather than in people who had poor health. Also, people with no dept had a higher mental health quality. Second, as a result of analyzing the relationship of influence on self-support, the higher the age, the more caring families, the higher the level of family resilience and mental health, the higher the self-sufficiency. Third, as a result of the mediating effect analysis, mental health had a partial mediating effect between family resilience and willingness for self-sufficiency. Therefore, we discussed the implications for improving family resilience and mental health as a factor in improving the level of self-sufficiency in self-sufficiency program participants.
The purpose of this study was to empirically verify the effects of spousal bereavement and complicated grief level on death anxiety of the elderly. The sample consisted of 1,998 adults who were aged 65 or older. Dependent variable was measured with the Death Anxiety Scale-Korean version (DAS-K). Independent variable was measured with both spousal bereavement and the Inventory of Complicated Grief-Korean version (ICG-K). Multiple regression analysis was performed using SPSS 23.0, adjusting for demographics, psycho-social and health variables. The results indicated that death anxiety level was lower among the bereaved with normal grief (p<.01) than non-bereaved. In contrast, death anxiety level was higher among the bereaved with complicated grief than non-bereaved (p<.01). The study result suggests that the most risky factor for death anxiety is complicated grief rather than the bereavement. Although the bereavement can be a universal experience, the severity and duration of symptoms after the bereavement may not be general. The unhealed emotional and physical pain after the bereavement stimulates death anxiety, and senior citizens who suffer from complicated grief often fail to integrate the bereavement and loss into reality, therefore, may not accept the death phenomenon itself. Anxiety and fear of death can emerge when they cannot acknowledge the bereavement. To manage complex sorrows and mitigate death anxiety, intervention programs should be provided to increase adaptability to the bereavement.
The purpose of this study is to examine the solidarity types between parents-children and to verify whether the types of solidarity relationships are directly related to life satisfaction of older adults. To achieve this, 2,072 Korean elderlies from proportional stratified sample were participated, and the data was divided into urban and rural area where respondents live in. The Latent Profile Analysis(LPA), multiple regression analysis were mainly used for data analysis. The results of the study were as follows: The major findings are following. Patterns of parental bond among urban and rural elderly were classified into three(urban) and two(rural) patterns. For the effect of each parental bonding pattern on life satisfaction, positive effect of parental bond was found only in urban dwellers. In other words, for older people in rural areas, parental bond did not significantly affected on life satisfaction. However, elderly in rural area showed non-familial factor based relationship, such as social capital(community trust, social cohesion, and social support), was influenced their life satisfaction rather than relationship with children. Finding from the study highlight political and practical implications for improving life satisfaction for the elderly.
The purposes of this study are to examine the factors affecting retirement satisfaction, focusing on health, social activity and social security anticipation, and to compare the results between young-old and middle-old. A total of 860 retired people who live alone or live with their spouses were selected from 6th Korean Longitudinal Study of Aging, and binomial logistic regression analysis was used to analyze 416 young-old(aged from 65 to 74) and 444 middle-old(aged from 75 to 83). The results are as follows. First, there was no significant difference in retirement satisfaction between young-old and middle-old. Second, when factors affecting retirement satisfaction was examined, young-olds showed hgher retirement satisfaction with higher perception of health condition and mental health condition, and showed lower retirement satisfaction with higher expectation of long-term care insurance. Middle-old was likely to show higher retirement satisfaction when they had better perspective on physical and mental health condition. The results of the study show that health condition of elderly is an important contributing factor in determining retirement satisfaction of the elderly. Based on the results of the study, political and practical suggestions were proposed to improve retirement satisfaction.
The purpose of this study is to identify the Nutrition Quotient for Elderly(NQ-E) of the elderly living in the community and to investigate the characteristics of living conditions affecting the nutritional status of the elderly. The subjects of the survey were 1,970 elderly single elderly households aged 65 and over in the nationwide through convenience sampling method. A survey cooperative system was established with Comprehensive Support Center for Elderly Living Alone, and the 25 social welfare institutions. 385 Life Managers for Elderly Living Alone participated as a survey agent. As a result, NQ-E was 51.14 points, which is the lowest level in the NQ-E, and the explanatory power was 20.1% in multiple regression analysis. Significant variables were age, sex, subjective health status, low number of medication, non-smoker, non-alcoholic, satisfactory economic status, academic status, and the interaction with family and neighbors. Based on this result, this study explains that comprehensive measures of nutritional management for the elderly living alone needs to be sought.
Background: Long-term care insurance for the elderly has been stably established along with the quantitative expansion of long-term care facilities. Indeed, the need for a paradigm about human rights-based service approach is being raised throughout society from a service perspective. Therefore, this study aimed to analyze the association between elderly human rights awareness and quality of service by considering human rights education as a moderate variable. Methods: This study conducted surveys with 138 caregivers working in long-term care facilities located in Seoul and Gangwon. General characteristics, awareness of human rights, and the level of service quality were examined using descriptive statistics, frequency analysis, and correlation analysis. And multi-variable linear regression with a hierarchical framework was employed. These analyses were performed using IBM SPSS ver. 25.0. Results: Of the 138 caregivers, 97.1% were female, 87.7% were more than 50 years old, and most of their education level was high-school graduates. Their length of employment ranged from more than 5 years to less than 10 years. The level of awareness regarding elderly human rights of the elderly was below normal (mean=2.21), but the quality of service was high (mean=4.21), and the need for human rights education was also high (mean=4.28). Among the general characteristics, the length of employment was significantly associated with awareness of elderly human rights. Moreover, political rights awareness, included as sub-domains of human rights, was positively associated with quality of service. However, the moderating variable, human rights education, was not significantly associated with the quality of service. Conclusion: In this study, human rights education, as a moderating variable, did not have a statistically significant effect on caregivers' human rights awareness in relation to service quality. This finding is inconsistent with previous research results. These results can be explained by the fact that the frequency of education in long-term care facilities was a significant factor in the practice of protecting the human rights of the elderly. Therefore ongoing encouragement for the frequency of current human rights education and improvements in the educational approach appear to be necessary. In addition, these findings reveal the need for strength of education policies and effective in-depth research about human rights and quality of service to respect the human rights of the elderly.
The purpose of this descriptive research study was to investigate health beliefs and self-efficacy in respiratory infection management as factors that affect the respiratory infection prevention behavior of college students. The subjects were 178 students attending a university in K city of Gyeongsangbuk-do. Data were collected with a structured questionnaire from September 1st to October 16th of 2020. The results of this study are as follows; Health belief was significantly different from participant's gender (t=-2.86, p=.005), major classification (F=2.95, p=.034), and taking any medications (t=2.18, p=.030). Self-efficacy in respiratory infection management was significantly different from university students' gender (t=-3.56, p=<.001) and major classification (F=4.59, p=.004). Health belief (r=.276, p<.001) and self-efficacy in respiratory infection management (r=.660, p<.001) had a positive correlation with respiratory infection preventive behavior. Multiple regression analysis results show that self-efficacy in respiratory infection management (β=.66, p<.001) significantly affected respiratory infection preventive behavior. The model had an explanatory power of 43%. The findings demonstrate that the major factor influencing the respiratory infection preventive behavior of university students is self-efficacy in respiratory infection management. Therefore, in order to promote behavior to prevent respiratory infection in college students, a program that can strengthen self-efficacy in respiratory infection management should be developed.
Container volume is a very important factor in accurate evaluation of port performance, and accurate prediction of effective port development and operation strategies is essential. However, it is difficult to improve the accuracy of container volume prediction due to rapid changes in the marine industry. To solve this problem, it is necessary to analyze the impact on port performance using the Internet of Things (IoT) and apply it to improve the competitiveness and efficiency of Busan Port. Therefore, this study aims to develop a prediction model for predicting the future container volume of Busan Port, and through this, focuses on improving port productivity and making improved decision-making by port management agencies. In order to predict port container volume, this study introduced the Extreme Gradient Boosting (XGBoost) technique of a machine learning model. XGBoost stands out of its higher accuracy, faster learning and prediction than other algorithms, preventing overfitting, along with providing Feature Importance. Especially, XGBoost can be used directly for regression predictive modelling, which helps improve the accuracy of the volume prediction model presented in previous studies. Through this, this study can accurately and reliably predict container volume by the proposed method with a 4.3% MAPE (Mean absolute percentage error) value, highlighting its high forecasting accuracy. It is believed that the accuracy of Busan container volume can be increased through the methodology presented in this study.
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