• Journal of Korean Neurosurgical Society
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• v.44 no.5
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• pp.295-302
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• 2008

Objective: Premorbid demographic backgrounds of injured individuals are likely to reflect more accurately the status of patients with traumatic brian injury (TBI) than clinical factors. However, the concrete study about the relationship between the demographic factors and neurocognitive function in TBI patients has not been reported. The object of this study was to evaluate the effect of premorbid demographic factors on the recovery of neurocognitive function following TBI. Methods: From July 1998 to February 2007, 293 patients (male: 228, female: 65) with a history of head injury, who had recovered from the acute phase, were selected from our hospital to include in this study. We analyzed the effect of premorbid demographic factors including age, sex, educational level and occupation on the recovery of neurocognitive function in each TBI subgroup as defined by Glasgow Coma Scale (GCS) score. Intelligence and memory are components of neurocognitive function, and the Korean Wechsler Intelligence Scale (K-WAIS) and the Korean memory assessment scale (K-MAS) were used in this study. The results were considered significant at p<0.05. Results: The higher level of education was a good prognostic factor for intelligence regardless of GCS score and younger age group showed a better result for memory with an exception of severe TBI group. In the severe TBI group, the meaningful effect of demographic factors was not noted by the cause of influence of severe brain injury. Conclusion: The demographic factors used in this study may be helpful for predicting the precise prognosis and developing an appropriate rehabilitation program for TBI patients.

• The International Journal of Costume Culture
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• v.3 no.2
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• pp.147-160
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• 2000

The purposes of the present study were to investigate the factors of consumer dissatisfaction with backpacks and to examine if the levels of dissatisfaction with the factors differ significantly among the groups determined by demographic characteristics and purchase behaviors. The differences in the purchase behaviors of backpacks were also tested among the groups determined by demographic characteristics. Data collection was consisted of two pilot tests and the final test. The questionnaire was distributed to 40 students of universities in Seoul from July 1 to 13 in 2000 and 351 were usable. Data were analyzed by factor analysis, t-test, χ²analysis, MANOVA, ANAOVA, Duncan's multiple range tests using SPSS PC/sup +/ Program. Five factors were formulated : durability, ease-of-care/color fastness, dimensional stability, wearability and design. Subjects were most dissatisfied with the dimensional stability of backpacks. Different demographic characteristics and purchase behaviors resulted in significantly different levels of dissatisfaction with selected factors. Significant differences were also found in selected selection criteria and purchase behaviors among groups determined by some demographic characteristics.

• Health Policy and Management
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• v.20 no.1
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• pp.37-63
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• 2010

Public expenditures on long-term care are a matter of concern for Korea as in many other countries. The expenditure is expected to accelerate and to put pressure on public budgets, adding to that arising from insufficient retirement schemes and other forms of social spending. This study tried to foresee how much health care spending could increase in the future considering demographic and non-demographic factors as the drivers of expenditure. Previous projections of future long-term expenditure were mainly based on a given relation between spending and age structure. However, although demographic factors will surely put upward pressure on long-term care costs, other non-demographic factors, such as labor cost increase and availability of informal care, should be taken into account as well. Also, the possibility of dynamic link between health status and longevity gains needs to be considered. The model in this study is cell-base and consists of three main parts. The first part estimated the numbers of elderly people with different levels of health status by age group, gender, household type. The second part estimated the levels of long-term care services required, by attaching a probability of receiving long-term care services to each cell using from the sample from current year. The third part of the model estimated long-term care expenditure, along the demographic and non-demographic factors' change in various scenarios. Public spending on long-term care could rise from the current level of 0.2~0.3% of GDP to around 0.44~2.30% by 2040.

• Journal of the Korea Society of Computer and Information
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• v.18 no.12
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• pp.159-166
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• 2013

The primary objectives of this study were to identify who is happier in workplace. To do this, this study proposed and analyzed a theoretical model consisting of demographic factors such as sex differences, age band, marital status, child quantity, religion, education level, position, job, income etc, psychological factors such as extroversion, neurosis, positive belief and happiness level. The major results of analysis reveal that first, both demographic factors and psychological factors have a positive effect on the happiness level of office-worker. Second, child quantity, neurosis and positive belief is an important factors in predicting office-worker's happiness. In conclusion, the implication of our research is to verify factors to promote the happiness level of office workers.

• Journal of Korean Clinical Nursing Research
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• v.25 no.3
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• pp.221-236
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• 2019

Purpose: The purpose of this study was to systematically review and identify factors relevant to the positive psychological capital of clinical nurses. Methods: These was no limit on year of publication. Articles related to Korean clinical nurses were retrieved from computerized database using a manual search. A systematic review was conducted based on the PRISMA flow. The total correlational effect size (ESr) for each related factor was calculated from Fisher's Zr. Funnel plots, fail-safe numbers, and Egger regression tests were used to evaluate publication bias in meta-analysis studies. The correlational effect size of 25 studies was analyzed through meta-analysis using Comprehensive Meta-Analysis software 3.0 (CMA). Results: The review included 25 studies. In the systematic review, 14 demographic factors and 46 organizational factors were found to be influential. Eleven factors (6 demographic factors and 5 organizational factors) were appropriate for meta-analysis. The overall effect size was .26. The demographic total correlation effect size of related factors was .20 and the total effect size of organization was .46. Organizational commitment (ESr=.38) and job satisfaction (ESr=.54) were statistically positively related variables. Negative variables were burnout (ESr=-.61), turnover intention (ESr=-.41) and workplace bullying (ESr=-.33). The total effect size of the organizational factors was larger than the demographic total effect size. There was no publication bias except for demographic variables. Conclusion: Organizational factors and adjustable variables have a significant impact on positive psychological capital. The results of this study support the need for development of interventions focusing on organizational factors.

• The Korean Journal of Food And Nutrition
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• v.25 no.2
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• pp.348-356
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• 2012

This study aimed to analyze the effect of demographic characteristics of consumers and quality recognition factors on purchase intention of organic wine, and to provide preliminary data necessary for the development of wine industry. By factor analysis of collected surveys, quality recognition factors of both the experienced and non-experienced group of organic wine environment/health, varieties of grapes, price, and four brand elements. First, among demographic characteristics, only income level hae a significant influence on the changes in quality recognition causes. Each of quality recognition causes of organic wine had a significant relation with purchase intent. The result of our analysis suggested that 'environment/health' was most influential for the experienced group, and 'health' was most influential for the non-experienced group. Therefore, this hypothesis is supported.

• Journal of Fashion Business
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• v.14 no.6
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• pp.170-187
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• 2010

This paper is to analyze the effect of demographic factors on children' wear buying pattern, media and information utilization, and design preference. A total of 355 usable data was collected from house wives in three metropolitan cities(Seoul, Daejon, Bundang) in Korea. Correlation analysis showed that there were statistically significant correlation between demographic factors and clothing buying behavior, information utilization, and design preference. Also, Regression results showed that 8 Demographic Factors are significant predictors. The results with ANOVA showed that there were significant relationships between PURCHASE OCCASION and DISPLAY INFORMATION UTILIZATION, and showed that there were significant relationships (F=28.625, p=<.001) between PURCHASE MOTIVATION and SALES PERSON ADVICES UTILIZATION. Thus, both visuality and friendliness of service were affected by consumers. Considering the increasing importance of service quality in the retail VMD, sale promotion should be enhanced and sale person is needed to be trained to be friendly to all consumers regardless of product composition

• Journal of Fashion Business
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• v.23 no.1
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• pp.1-13
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• 2019

This study aimed to analyze the preference, the factors of benefits sought, and the difference of benefits sought for smart clothing based on demographic characteristics. This survey study used questionnaire. The subjects of the survey consisted of men and women with ages ranging from twenty to fifty years old, who were living in Gyeongnam region. For the collected data analysis, Factor analysis, t-test, ANOVA, and Duncan multiple range tests were used by SPSS 23. The results obtained were as follows. The different analysis results for smart clothing based on demographic characteristics showed a significant difference with respect to marital status, age, monthly income, and occupation, but showed an insignificant difference with respect to gender. The factors of benefits sought for smart clothing were extracted from five factors-pursuit; image innovation and improvement, pursuit of healthcare, pursuit of body protection, pursuit of amusement and pleasure, and pursuit of hi-tech function. The different analysis results of smart clothing according to demographic characteristics showed a significant difference for pursuit of healthcare only with respect to gender, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to marital status, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to age, for pursuit of healthcare and body protection with respect to monthly income, and for all five factors with respect to occupation.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.53-71
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• 2023

This study explores the relationship between various user factors and the level of trust in ChatGPT, a sophisticated language model exhibiting human-like capabilities. Specifically, we considered demographic characteristics such as age, education, gender, and major, along with factors related to previous AI experience, including duration, frequency, proficiency, perception, and familiarity. Through a survey of 140 participants, comprising 71 females and 69 males, we collected and analyzed the data to see how these user factors have a relationship with trust in ChatGPT. Both descriptive and inferential statistical methods, encompassing multiple linear regression models, were employed in our analysis. Our findings reveal significant relationships between user factors such as gender, the perception of prior AI interactions, self-evaluated proficiency, and Trust in ChatGPT. This research not only enhances our understanding of trust in artificial intelligence but also offers valuable insights for AI developers and practitioners in the field.

• Agribusiness and Information Management
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• v.5 no.2
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• pp.1-5
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• 2013

Demographic transition drives changes in consumer demand for food products. This study examines how rising incomes and population trends affect spending on food purchased for home. The objective of this study is to characterize the relationships between selected socio-demographic factors and food selection among South Korean households. Panel data from Rural Development Administration (RDA) in South Korea in 2010 was used (n=971). Household food purchases were classified into one of the five food groups from Composition of Foods of RDA. Multiple regression analysis was used to analyze the effects of household size and income based on the expenditure share on each food group. All statistical analyses were performed using SAS/ PC version 9.3. Results show that household socio- demographic characteristics have a strong influence on food purchasing, with the purchase of vegetables and fruit, and processed food and pre-packaged being particularly sensitive.