• Journal of Preventive Medicine and Public Health
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• v.54 no.4
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• pp.238-244
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• 2021

Objectives: Previous pandemics have demonstrated that several demographic, geographic, and socioeconomic factors may play a role in increased infection risk. During this current coronavirus disease 2019 (COVID-19) pandemic, our aim was to examine the association of timing of lockdown at the county level and aforementioned risk factors with daily case rate (DCR) in the United States. Methods: A cross-sectional study using publicly available data was performed including Americans with COVID-19 infection as of May 24, 2020. The United States counties with >100 000 population and >50 cases per 100 000 people were included. The independent variable was the days required from the declaration of lockdown to reach the target case rate (50/100 000 cases) while the dependent (outcome) variable was the DCR per 100 000 on the day of statistical calculation (May 24, 2020) after adjusting for multiple confounding socio-demographic, geographic, and health-related factors. Each independent factor was correlated with outcome variables and assessed for collinearity with each other. Subsequently, all factors with significant association to the outcome variable were included in multiple linear regression models using stepwise method. Models with best R² value from the multiple regression were chosen. Results: The timing of mandated lockdown order had the most significant association on the DCR per 100 000 after adjusting for multiple socio-demographic, geographic and health-related factors. Additional factors with significant association with increased DCR include rate of uninsured and unemployment. Conclusions: The timing of lockdown order was significantly associated with the spread of COVID-19 at the county level in the United States.

• Korean Journal of Health Education and Promotion
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• v.20 no.3
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• pp.109-124
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• 2003

This study conducted multiple logistic regression to investigate what factors and how much they influence problem drinking. In this study, problem drinking was defined by AUDIT and NAST. Most of the studies on problem drinking focused on socio-demographic factors even though problem drinking is caused by bio-psycho- socio-cultural factors. The current study tried to estimate a logistric regression models including socio-demographic, environmental, psychological, economical, emotional, values, and MMPI factors. The best fit model suggested that problem drinking, which was determined by AUDIT, of college students were related to sociodemographic, environmental, psychological, and emotional factors. Students who were male, whose father, brother or sister had been abused alcohol or drug, students thought that his/her mother had not trusted him/her, who worried about his/her health, smokers, who had strong impulsivity, who had three or more feelings among the sorts of feelings, such as sadness, loneliness, boring making him/her feel to drink alcohol were more likely to had drinking problem. Students who were indulgers-who could not help buying things immediately after they saw goods they like, who were smokers, who had low ego-control, who had three or more feelings among the sorts of feelings, such as become excited, anxiousness, healthy were more likely to be dependent on alcohol. The study suggested intervention programs for college students to prevent problem alcohol drinking and alcohol dependency.

• Journal of Korean Biological Nursing Science
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• v.14 no.3
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• pp.166-173
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• 2012

Purpose: This study was designed to find differences between physical activity and health-related factors of Korean male adults. Methods: Using the 2010 Korean National Health and Nutrition Examination Survey (NHANES V-1), the data of 1,876 Korean males over 30 years old who completed the Health Interview, Health Behavior Surveys and International Physical Activity Questionnaire (IPAQ) were analyzed. Analysis of differences in physical activity according to socio-demographic factors, physical health-related factors and psychological health-related factors was tested using the F-test and chi-square test with SPSS 12.0. Results: The high physical activity group was merely 2.5% and the moderate group was 51.4%. In each group, the study showed significant differences in age (p=.017), education status (p=.019), and economic status (p=.032) of socio-demographic factors, in body mass index (p=.003), vitamin D (p=.020) and hypertension status (p=.007) of physical health-related factors, and in recognition of stress (p=.027) of psychological health-related factors. Conclusion: These results revealed that physical activity can play an important role in nursing intervention of physical and psychological health-related factors in male adults.

• Korean Journal of Human Ecology
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• v.15 no.1
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• pp.71-81
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• 2006

The purpose of this study is to examine the differences in young children's multiple intelligence and social behaviors based not only on Montessori and general programs of day care centers but also on their gender and social- demographic factors. The subjects were 329 young children (182 boys and 147 girls aged from four to five) from two day care centers in Cheongju city. The instruments used in this study were HAPI (Hillside assessment of Perceived Intelligence) to measure the surveyee's multiple intelligence and Park & Lee's scale to measure their social behaviors. The frequencies, percentiles, mean, standard deviations, Cronbach a, t-teat, F and LSD were used to analyze the collected data through SPSS WIN program. The results of this study are as follows: 1) As for young children's multiple intelligence, there are differences according to young children's gender, order of birth, parents' level of education and teacher's working period out of social-demographic factors. 2) As for the young children's social behavior, there are differences according to young children's gender, mother's level of education and teacher's working period out of social-demographic factors.

• The Korean Journal of Health Service Management
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• v.8 no.4
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• pp.81-94
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• 2014

The purpose of this study is to investigate factors affecting cancer mortality inequality in Busan according to demographic characteristics identified based on the region's mortality data including cancer incidence and mortality rates, ultimately helping the region improve its existing health policies and establish a more effective cancer prevention policy. To achieve this purpose, this researcher surveyed data about all persons who died in Busan from 2006 to 2009. Data were analyzed with an SPSS 18.0 program using descriptive statistics, Chi-Square(${\chi}^2$), and Logistic Regression analysis. Findings of the study can be summarized as follows. First, in Busan, men were about two times higher in cancer mortality rate than women. Second, persons who died of cancer in Busan were significantly different from one another in terms of demographic characteristics, especially, age, marital status, and job. Third, factors affecting cancer mortality inequality in Busan included such demographic characteristics as gender, age at the time of death, marital status, educational background, and job.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.1
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• pp.49-65
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• 1999

The purpose of this study was to examine the impacts of individual factors, such as demographic characteristics, personality types and cognitive styles, on job satisfaction of university librarians. The study further investigated the relationships and interaction effects among those factors. Three independent variables examined were demographic characteristics (sex, age, year at work, and position), personality types (Type A and Type B), and cognitive styles (Held-dependence and Held-independence). The dependent varilable was the level of job satisfaction. five factors that affect the level of job satisfaction were the nature of work, salary level promotion practices, supervision style, and the relationships with co-wokers. The number of subjects participated in the study was 166 university librarians working in Pusan area. The SPSSWIN package was used for statistical analysis.

• Journal of Fashion Business
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• v.15 no.3
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• pp.32-50
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• 2011

This study is designed to analyze the effects of demographic factors on children's wear brand preference and their reasons, and brand evaluations. A total of 355 usable data was collected from housewives in three metropolitan cities (Seoul, Daejeon, and Sungnam) in Korea. An ANOVA and crossing analysis were used to determine the strength(percentage) among several dependent variables. Also, regression analysis was used to examine the effects of demographic factors on each factor and component related to fashion brand evaluation. Overall, ANOVA and crossing analysis results showed that the visual attributions (variables) of clothing marked significantly higher scores than others (functional attributions). This result is noteworthy because it is opposite of common stereotypes and prejudices that selectors who first recognize visual information (aesthetic attributions) as a clothing buying criteria should be unsatisfied with them after wearing. Therefore, this research suggests that the chief reason in determining the outcome of success or failure in fashion industry depends on their trend productions with fashion image creation by reflecting the exclusive trends based on consumer's taste and wants.

• Journal of the Korean Home Economics Association
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• v.39 no.6
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• pp.1-14
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• 2001

The purpose of this research is to observe the differences in consumers behavior on clothes care based on their different lifestyles and different demographic characteristics. The research surveyed 267 women of 20 years old or older living in Taegu City. SPSS package was used for data analysis and frequency, percentage, average, standard deviation, factor analysis, cluster analysis, ANOVA(analysis of valiance). and Duncan test were used The results are as follows: 1. Lifestyle factors for the research object were found as 'Consumption-oriented','family-oriented', 'Economic-oriented','Leisure-oriented','conservatism-oriented'. The categories for analysis according to these factors are classified into 5 categories, category 1 is Leisure/Family-oriented group, category 2 Consumption/Leisure avoidance-oriented group, category 3 Economy/Family Apathy-oriented group, category 4 Conservatism-oriented group, and category 5 Consumption/Innovation group. Five factors for behavior on clothes care are found, including washing method, interest in detergent, environmental behavior, washing effectiveness, and management after washing 2. Behavior on clothes care based on lifestyle groups showed a meaningful difference according to the following: Interest in detergent(p<.05 level), environmental behavior(p<.01 level), and washing effectiveness(p< .01 level) 3. In demographic variations (such as age, monthly income, monthly expenditure on clothes), there is a meaningful difference in behavior on clothes care, such as interest in detergent or management after washing, according to different age groups. However, no meaningful difference is found in behavior on clothes care according to other demographic characteristics.

• Journal of Preventive Medicine and Public Health
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• v.54 no.2
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• pp.129-136
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• 2021

Objectives: This study examined demographic factors hampering access to healthcare at hospitals and suggests policy approaches to improve healthcare management in Thailand. Methods: The data for the study were drawn from a health and welfare survey conducted by the National Statistical Office of Thailand in 2017. The population-based health and welfare survey was systematically carried out by skilled interviewers, who polled 21 519 384 individuals. The independent variables related to demographic data (age, sex, religion, marital status, education, occupation, and area of residence), chronic diseases, and health insurance coverage. The dependent variable was the degree of access to healthcare. Multiple logistic regression analysis was subsequently performed on the variables found to be significant in the univariate analysis. Results: Only 2.5% of the population did not visit a hospital when necessary for outpatient-department treatment, hospitalization, or the provision of oral care. The primary reasons people gave for not availing themselves of the services offered by government hospitals when they were ill were-in descending order of frequency-insufficient time to seek care, long hospital queues, travel inconvenience, a lack of hospital beds, unavailability of a dentist, not having someone to accompany them, and being unable to pay for the transportation costs. Multiple logistic regression analysis showed that failure to access the health services provided at hospitals was associated with demographic, educational, occupational, health welfare, and geographic factors. Conclusions: Accessibility depends not only on health and welfare benefit coverage, but also on socioeconomic factors and the degree of convenience associated with visiting a hospital.

• East Asian Journal of Business Economics (EAJBE)
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• v.11 no.2
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• pp.15-27
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• 2023

Purpose - The goal of this study is to extensively grasp the latest status of domestic home shopping and to propose useful information on the direction of development for the somewhat stagnant this market. This study investigates the relationship between purchasing media and demographic factors such as average monthly income, age and occupation. Categories of purchasing media under consideration are cell phones, tablet PCs, PCs/notebooks, phone calls and TV directly. Research design, data, and methodology -The survey was conducted in 2021 on a total of 4,537 integrated panel households including 3,510 households and 191,027 newly constructed in 2019 and about 10,800 household members aged 6 years or older in the household. The independence test and correspondence analysis as statistical tools are exploited to detect the relationship between the underlying factors. Result - It can be demonstrated that all demographic variables considered are related to the purchase media of home shopping. In particular, cell phones among purchasing media are closely associated with 2 million - 5 million won, teenagers, 20s, 40s, professionals, office workers, managers and soldiers. Conclusion - It is necessary to establish a new management strategy and related policies in order to overcome the current stagnation and ensure the continued growth of this industry.