• Journal of Korean Biological Nursing Science
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• v.21 no.2
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• pp.108-113
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• 2019

Purpose: The purpose of this study was to investigate the difference in serum ferritin and leukocyte regarding overweight and obese South Korean adults. Methods: This study was conducted on 5,281 subjects older than 19, according to data from the Fifth Korea National Health and Nutrition Examination Survey (KNHANES V-3), 2015. Data were analyzed using descriptive statistics, t-test, ANOVA, Scheffe's test, Pearson's correlation coefficient, and stepwise multiple regression analysis (SPSS 24.0). Results: First, serum ferritin and leukocyte were higher regardubg obesity, followed by being overweight and within normal weight. Second, body mass index (BMI) was positively correlated with serum ferritin and leukocyte. Third, factors affecting serum ferritin were gender, and being obese and overweight. Explanatory power of the model was 26.2%. Factors affecting leukocyte were gender, obesity, being overweight, and weight change over the past year (weight gain). Explanatory power of the model was 10.2%. Conclusion: Obesity and being overweight were factors affecting serum ferritin and leukocyte, and obesity was more affected than being overweight in Koreans older than 19. In conclusion, serum ferritin was a marker of inflammation, rather than iron status, in overweight and obese Korean adults.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.297-305
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• 2019

This study was conducted to compare the factors affecting quality of life according to the perception of subjective body image in adult women as a secondary study of the 7th 1st year Korean National Health and Nutrition Examination Survey data. The subjects were 3,392 adult women and their general characteristics, physical factors and psychological factors were analyzed. Data were analyzed using the IBM SPSS 25.0 program after generating weighted composite sample plans and the significance level was set at 0.05. Factors influencing the quality of life of subjects who perceived their subjective body image as thin were education level, birth experience, depression, and subjective health and their explanatory power was 43.1%. Factors influencing the quality of life for those who perceived their bodies as moderate were education level, depression, and subjective health, and their explanatory power was 26.5%. Factors that affected quality of life for those who perceive their bodies as obese were age, weight change for one year, weight control for one year, presence of high blood pressure, BMI, and subjective health, and their explanatory power was 40.9%. The results of this study indicate it is necessary consider the factors influencing each subjective perception to improve individual quality of life.

• Therapeutic Science for Rehabilitation
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• v.12 no.4
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• pp.111-122
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• 2023

Objective : To identify the effect of lifestyle risk factors on the daily activities and cognition of the older adults in the community using the National Health Insurance Corporation 2015 geriatric cohort database. Methods : Lifestyle risk factors were defined as body mass index (BMI), smoking, drinking, vigorous exercise, moderate exercise, and walking, and basic and instrumental activities of daily living (ADL) and cognitive function variables were included in the analysis. ADL and cognitive function according to sex and age were analyzed using a t-test and one-way ANOVA. The correlation between lifestyle risk factors, ADL, and cognitive function was analyzed using Pearson's correlation analysis, and multiple regression analysis was performed to analyze their influence. Results : The factors affecting basic ADL (BADL) were sex and walking exercises, with an explanatory power of 1.7%. Instrumental ADL (IADL) included age, drinking, and walking exercises, with an explanatory power of 2.6%. Cognitive function included sex, age, BMI, vigorous exercise, and walking, with an explanatory power of 5.3%. Conclusion : Lifestyle risk factors partially affected BADLs/IADLs and cognitive function in community-dwelling older adults. This suggests the need to systematically manage lifestyle risk factors to improve and maintain the healthy lives of older adults facing biological aging.

• Asia pacific journal of information systems
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• v.24 no.2
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• pp.141-189
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• 2014

As urbanization and its consequences become the issue of modern cities, the concept of Smart City comes as the solution. Though a lot of researches on the topic is done, still no clear definition is given for both: Smart City itself and the factors of a successful Smart City. While most of the literature centers the role of ICT it is not a sufficient condition for a city to become Smart; the role of intellectual capital is underestimated. Using a collection of Smart City definitions across the time and providing concrete cases, this research seeks to bridge definition gaps and creates a tool for understanding Smart Cities. Drawing on the findings of several case studies, this research derives several explanatory factors. The citizen's engagement and governance are identified as the two key success factors of Smart City Projects along with ICT and other factors as enablers. The research has purpose as follows: 1) To bridge definition gaps of the "Smart City" by defining the term "Smart City," based on existing concepts and characteristic mechanisms across times.; 2) To develop an analytical tool for Smart City success factors through Explanatory Variables.; and 3) To identify major challenges and barriers of Smart City Projects implementations and to provide recommendations and solutions, based on existing governmental initiatives and pilot projects. The research contributes to the knowledge of smart cities and ICT integration for urbanization issues solution. By applying the findings of this research at the managerial level stakeholders may benefit by getting higher efficiency of the Smart City Projects and by utilizing knowledge and values of a Smart City Projects in a prioritized way.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.351-359
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• 2013

This study was conducted to investigate the factors that affect the length of stay in hospital for schizophrenic patients. Of the data from the in-depth injury patient surveillance system, the final subject included 2,239 patients with schizophrenia in their final diagnosis. Using SPSS 18.0, a hierarchical regression analysis was performed by sequentially entering the explanatory variables by setting sociodemographic characteristics, discharge characteristics and hospital characteristics as explanatory variables and the length of stay in hospital as a dependent variable. The findings showed that the sociodemographic characteristics had the highest explanatory power and the explanatory power changed when the explanatory variable of the hospital characteristics was added, as opposed to the discharge characteristics. Male, type-1 medicaid, Chungcheong-do and the number of beds were found to be the factors that mostly affect the length of stay. Since this study used the secondary data, it has a limitation in terms of additional variables that could better explain the length of stay for schizophrenic patients. Nevertheless, it has an implication in that it investigated a large scale of data on a national level. For the effort of reducing the length of stay, it is suggested that an effort should be made at the national level, by focusing more on the hospital characteristics as well as the individual characteristics of patients.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.19 no.4
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• pp.390-402
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• 2009

This study aimed to examine the general characteristics of individual workers, psychosocial working environment, and ergonomic risk factors which affect the status of musculoskeletal disorders. Self-report was carried out for musculoskeletal symptoms and ergonomic risks in working environment in 856 production workers in 16 small to medium sized manufacturing companies. Musculoskeletal symptoms were examined with a standardized questionnaire, and ergonomic risks were evaluated with a qualitative self-administered instrument for the tasks related to musculoskeletal disorders. Major findings were as follows: 1) Complaint rate for musculoskeletal symptoms was higher in female, aged, married workers with longer working hours, less leisure/hobby activity, longer household working hours and history of disease or accident. 2) Complaint rate for musculoskeletal symptoms was significantly higher in workers with dissatisfaction, difficult tasks, and no self-control at work. 3) Complaint rate for musculoskeletal symptoms was significantly higher in workers involved in tasks with major ergonomic risk factors, and handling heavy equipment. 4) Explanatory power increased the model with the musculoskeletal symptoms as dependent variable and demographic variables, psychosocial working environment and ergonomic risk factors included, and total explanatory power of 18.6% revealed the significant effect. Based on the results, we can conclude that musculoskeletal symptoms in manufacturing workers are associated with individual demographic characteristics, psychosocial working environment and ergonomic risk factors.

• Journal of Korean Public Health Nursing
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• v.35 no.1
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• pp.165-178
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• 2021

Purpose: This study examined the correlations between the health promotion behavior, perceived health status, and health-related quality of life(HRQOL) to identify the factors influencing HRQOL of industrial employees, Methods: The target of this study was 126 industrial the employees in a vehicle company who understood the purpose of the study and agreed to participate. The collected data were analyzed by frequency, percentage, mean, standard deviation, independent t-test, one way ANOVA, Scheffé test and hierarchical regression analysis using SPSS 25.0 program. Results: Hierarchical regression analysis showed that the Perceived Health Status was the influencing factor of Physical Component Summary of HRQOL(��=.56, p<.001), which had an additional explanatory power of 21.2%. The influencing factor of Mental Component Summary of HRQOL was Health Promotion Behavior(��=.32, p<.001), which had an additional explanatory power of 17.2% and Perceived Health Status(��=.29, p=.002), which had an additional explanatory power of 5.1%. Conclusion: To improve the HRQOL of life of industrial employees, counseling and education that recognizes the current state of health and induces positive health awareness are necessary, and appropriate promotion programs without limiting the time and place are needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.251-259
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• 2018

This study was conducted to investigate individuals' mental health on the basis of scores for depression and self-esteem from the Korea Welfare Panel Study (KWPS) and determine their dynamic association with employment status. This study was conducted using the eighth (2013) and ninth (2014) data from the KWPS. To identify factors affecting depression, socio-demographic factors, factors related to mental health, and contents related to employment, such as changes in the employment condition and employment status, were selected and analyzed by t-test, ANOVA, and hierarchial multiple regression to determine the explanatory power. Multiple regression revealed that in Model 1, those who were female, were older, had no spouse, were in the lower income bracket, had lower total self-esteem, and scored higher for depression in the previous period tended to show higher levels of depression. Education had no significant effect and explanatory power for all variables inputted into this model was estimated to be 30.8% (p<0.001). The explanatory power for all variables input into Model 2, which was generated by inputting employment status into Model 1, was estimated to be 30.9%, which was 0.1% higher than for Model 1 (p<0.05). These results indicated that depression was significantly correlated with gender, age, income, presence of a spouse, previous depression, self-esteem, and employment status; accordingly, investigation of the factors that can narrow the gap among variables affecting depression should be conducted and socially supported.

• Journal of Korean Society of Transportation
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• v.32 no.2
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• pp.139-151
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• 2014

This paper analyzes factors affecting rail transit ridership at urban rail stations of the Daegu Metropolitan City in 2011. Rail transit ridership is analyzed by dividing weekdays and weekends in order that their differences may be observed. The data used in this study includes various explanatory variables, such as floor area which was collected from building ledger and GIS cadastral map, number of bus routes(line) possible to transfer from urban rail transit, number of students enrolled in middle and high schools, and universities located in access areas of rail transit. For this study, multiple regression models are estimated including various explanatory variables affecting rail transit ridership of weekdays and weekends. From the study, the number of statistically significant explanatory variables and the relative effect of each variable are shown to be different between weekdays and weekends.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.6
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• pp.3096-3101
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• 2013

The study is to develop a tool to measure knowledge, attitude and behavior towards irradiated food derived from three factors of 20 items in regard to the knowledge of irradiated food. The variances in explanatory power for the first, second and third factors were 43.1%, 12.0% and 9.9% respectively, which marked a total of 65.0%. As to the attitude towards irradiated food, one factor was derived from 4 items and this factor, the result of measurement scale analysis, was named "the attitude towards irradiated food". The variance in the explanatory power of this factor was 71.1%. In regard to the behavior towards irradiated food, one factor was derived from 5 items and the variance in its explanatory power was measured to 57.6%, that is total 57.6% was explained.