• Korean Journal of Family Social Work
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• no.53
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• pp.45-78
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• 2016

The purpose of this study is to classify the old into the old people as Young-old(Age 65-74) and Old-old(Older than 75) Elderly in Korea and is to check the factors influencing on the suicidal ideation based on eco-system approach. For the research data, the survey data of actual condition of the old people in 2014 was used. The samples of analysis in this study are the Young-old people who have spouse Old-old people, which are in total 6, 201. In order to check the characteristics of suicidal ideation of the Young-old people and Old-old people, Chi-square analysis was implemented and binomial logistic regression analysis was conducted to check the influencing factors of suicidal Ideation of Young-old and Old-old Elderly. As a result of analysis, there were significant difference in the factors influencing on suicidal ideation of the Young-old people and the Old-old people. The variables in terms of the sociology of population among personal system factors have affected more to the suicidal ideation of Old-old people than the Young-old people. Variables in terms of health have influenced on the Old-old people and the variables in terms of economy have significantly affected to the Young-old people. It has been suggested that the conflict of conjugality and marital conflict affect to the suicidal ideation of Young- old people however it has been appeared that the Old-old people are significantly affected not only by the conjugality but also by the relationship with children. In order to reduce the suicidal ideation of the old people, the customized approach per group of the old people has been presented.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.1
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• pp.35-45
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• 2019

Objective : The purpose of this study was to investigate the factors influencing stroke in community-dwelling adults. Methods : This study used raw data from the community health survey in 2016. Among the 228,452 subjects who participated in the survey, 225,003 (98.5%) of them were included in the analysis of this study. The sociodemographic characteristics were selected as gender, age, region, income, marital status, and comorbidity was selected as osteoporosis, hypertension, diabetes, dyslipidemia, myocardial infarction and arthritis. Health-related quality of life was assessed by EuroQol-5 Dimension(EQ-5D) and the subcategory of EQ-5D (mobility, self-care, usual activities, pain/discomfort, anxiety/depression) were included in the analysis. Dependent variables were stroke, and the independent variables were the 16 variables described above. Statistical analysis was performed using binomial logistic regression analysis. Results : In sociodemographic variables, stroke was predicted by men, aging, and lower income levels. In comorbidity variables, stroke was predicted by hypertension, diabetes mellitus, hyperlipidemia, and myocardial infarction. In sub-domains of health-related quality of life, stroke was predicted by self-care, usual activities, mobility, anxiety/depression, and pain/discomfort. Conclusion : These finding suggest that it is needed development of a customized health promotion program for the improvement of self-care and activities of daily living in community-dwelling stroke survivors.

• Journal of The Korean Society of Emergency Medicine
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• v.29 no.5
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• pp.423-429
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• 2018

Objective: Falling is a common cause of head injury in preschool aged children. We investigated the characteristics of mild head injuries caused by falling and the association between body weight and occurrence of traumatic brain injuries (TBI). Methods: This retrospective observational study was conducted on head-injured preschool-aged children that visited the emergency department from January 2012 to December 2015. Characteristics such as age, sex, weight, free fall height, floor type, and presence of TBI, as defined as cerebral hemorrhage or skull fracture, were investigated. We calculated body weight percentiles by calibrating age and weight and categorized them into four quartile ranges. We grouped all included cases into two groups according to the presence of TBI. The characteristics of the two groups were compared by using chi-square test, and the association with TBI was investigated by using binomial logistic regression. Results: A total of 701 children were included, and TBI was observed in 95 children. Children with TBI were younger. The proportion of children with TBI was higher in the third and fourth quartiles of the body weight group as well as according to soft floor and fall from high height (${\geq}1m$). The odds of soft floor being associated with TBI was higher than the odds for hard floor (odds ratio, 2.734; 95% confidence interval [CI], 1.597-4.680). The odds of high height (${\geq}1m$) being associated with TBI was higher than that for low height (odds ratio, 2.306; 95% CI, 1.155-4.601), and the odds ratio for the weight percentile group was 1.228 (95% CI, 1.005-1.499). Conclusion: Prevalence of TBI after falling in preschool-aged children might be associated with high fall-height and body weight quartiles.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.411-422
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• 2021

The purpose of this study is to examine the relationships between quality of life and demographic characteristics and health-related behavioral characteristics, and their relevance to variables that represent health conditions among metropolitan-dwelling older adults. The study subjects were 380 senior citizens aged 65 or older living in the D metropolitan area, and data collection was conducted by visiting them for interviews in June 2019. A binomial logistic regression analysis was performed to examine the relationship between independent variables (demographic characteristics, health-related behavioral characteristics, health condition variables) and the dependent variable (quality of life) while controlling for gender and age. As a result, the factors related to quality of life for those surveyed were education level, spousal status, living status, bear for living expenses, average monthly allowance, satisfaction with daily life, evaluation of sleep quality, smoking and eating habits, amount of regular exercise, hobbies, subjective health status, physical disability (if any), hearing ability, visual acuity, mastication ability, urinary incontinence (present or not), and amnesia. The above results suggest that quality of life for the elderly living in urban areas is significantly related to variables that indicate demographic characteristics, health-related behavioral characteristics, and health condition.

• 한국노년학
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• v.39 no.4
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• pp.861-881
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• 2019

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.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.5
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• pp.77-90
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• 2023

This study aims to investigate the potential of alternative credit assessment through Social Networking Sites (SNS) as a complementary tool to conventional loan review processes. It seeks to discern the impact of SNS usage characteristics and loan product attributes on credit loan repayment. To achieve this objective, we conducted a binomial logistic regression analysis examining the influence of SNS usage patterns, loan characteristics, and personal attributes on credit loan conditions, utilizing data from Company A's credit loan program, which integrates SNS data into its actual loan review processes. Our findings reveal several noteworthy insights. Firstly, with respect to profile photos that reflect users' personalities and individual characteristics, individuals who choose to upload photos directly connected to their personal lives, such as images of themselves, their private circles (e.g., family and friends), and photos depicting social activities like hobbies, which tend to be favored by individuals with extroverted tendencies, as well as character and humor-themed photos, which are typically favored by individuals with conscientious traits, demonstrate a higher propensity for diligently repaying credit loans. Conversely, the utilization of photos like landscapes or images concealing one's identity did not exhibit a statistically significant causal relationship with loan repayment. Furthermore, a positive correlation was observed between the extent of SNS usage and the likelihood of loan repayment. However, the level of SNS interaction did not exert a significant effect on the probability of loan repayment. This observation may be attributed to the passive nature of the interaction variable, which primarily involves expressing sympathy for other users' comments rather than generating original content. The study also unveiled the statistical significance of loan duration and the number of loans, representing key characteristics of loan portfolios, in influencing credit loan repayment. This underscores the importance of considering loan duration and the quantity of loans as crucial determinants in the design of microcredit products. Among the personal characteristic variables examined, only gender emerged as a significant factor. This implies that the loan program scrutinized in this analysis does not exhibit substantial discrimination based on age and credit scores, as its customer base predominantly consists of individuals in their twenties and thirties with low credit scores, who encounter challenges in securing loans from traditional financial institutions. This research stands out from prior studies by empirically exploring the relationship between SNS usage and credit loan repayment while incorporating variables not typically addressed in existing credit rating research, such as profile pictures. It underscores the significance of harnessing subjective, unstructured information from SNS for loan screening, offering the potential to mitigate the financial disadvantages faced by borrowers with low credit scores or those ensnared in short-term liquidity constraints due to limited credit history a group often referred to as "thin filers." By utilizing such information, these individuals can potentially reduce their credit costs, whereas they are supposed to accrue a more substantial financial history through credit transactions under conventional credit assessment system.