• Journal of Korean Academy of Nursing
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• v.45 no.6
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• pp.857-867
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• 2015

Purpose: The purpose of this study was to investigate individual and organizational level of cardiovascular disease (CVD) risk factors associated with CVD risk in Korean blue-collar workers working in small sized companies. Methods: Self-report questionnaires and blood sampling for lipid and glucose were collected from 492 workers in 31 small sized companies in Korea. Multilevel modeling was conducted to estimate effects of related factors at the individual and organizational level. Results: Multilevel regression analysis showed that workers in the workplace having a cafeteria had 1.81 times higher CVD risk after adjusting for factors at the individual level (p =.022). The explanatory power of variables related to organizational level variances in CVD risk was 17.1%. Conclusion: The results of this study indicate that differences in the CVD risk were related to organizational factors. It is necessary to consider not only individual factors but also organizational factors when planning a CVD risk reduction program. The factors caused by having cafeteria in the workplace can be reduced by improvement in the CVD-related risk environment, therefore an organizational-level intervention approach should be available to reduce CVD risk of workers in small sized companies in Korea.

• Korean Journal of Health Education and Promotion
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• v.28 no.4
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• pp.1-14
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• 2011

Objectives: The aim of the present study is to elucidate the relationship of community capacity to health in a metropolitan area in Korea. To do so, a multi-level model to verify the contextual effects of community capacity is presented. Methods: The study materials are the "The 4th Seoul Citizens Health Indicators Surveys" on 404 dong in Seoul. The community capacity indicators were developed in two strata: individual-level indicators with community identity domain; and community-level indicators with participation in community organizations, number of non-profit organizations, degree of organizing of community-based organizations, and volunteer activities. Results: Higher unhealthy probability occurs among those with lower community capacity at the community level, lower individual income, and lower community satisfaction at the individual level. It contributed to explaining self-rated health status and showed that there were contextual effects of the community going beyond the compositional effects of the individual. Conclusions: In the process of building community capacity, a community autonomously finds pending issues and solves related problems, and in so doing, raises the social quality and establishes the conditions for health promotion. Thus, the significance of neighborhood needs to be discovered and created in a new way through the development of community capacity.

• Korean Security Journal
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• no.14
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• pp.261-283
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• 2007

In recent studies for explaining the causation of crime fear shows interest and effort in studies attempting microscopical individual level and macroscopical local level of sex, age, economic level, crime damage level and etc. However, in this study, it is considered that interest and analysis of individual on characteristics of these local level may has its difference depends on crime damage experience in the past, fragility precision of crime damage and interest on crime relating information and processed positive analysis on characteristics of individual and relation of crime fear on individual level before making an attempt of connecting microscopical level and macroscopical level. Therefore, the purpose of this study is on positive verification of how people feel about crime fear depends on individual's characteristic and also how much effect would they receive. As the result of this study, it is shown that first, population statistical characteristics that crime damage experience is statistically meaningful of its difference of each group are age, status of marriage, final education status and residential area and for the fragility precision of crime damage was sex and status of marriage and for the interest about the crime relating information has meaningful difference statistically of each group depends on sex, age, final education status, income of the house and location of residential area. Second, after processing correlation analysis on individual characteristic primary factor and crime fear, the result of 3 primary factor independent variable all shows statistically meaningful correlation with crime fear and especially fragility primary factor on crime damage showed the most high correlation with crime fear. Lastly, fragility of crime damage, interest on crime information and crime damage experience has effected as characteristics of individual and especially fragility of crime damage which the person thought to be the most fragility on crime damage out of these individual characteristic primary factor showed to have the most effecting primary factor.

• Korean Journal of Health Education and Promotion
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• v.29 no.1
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• pp.39-57
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• 2012

Objectives: This study was to measure community capacity using individual-level and organizational-level capacity indicators and illuminated the relationship of community capacity and self-rated health status in two regions in Seoul, Korea. Methods: The data from individual surveys were obtained by quota sampling the residents of two autonomous gu in Seoul (N=1,000). The data from organizational surveys were obtained by snowball sampling lists of organizations in the possession of gu offices with a sampling frame (N=153). The survey tools were 6 indicators regarding residents' social capital and a sense of community and 5 indicators regarding community-based organizations and their networks. The analysis methods consisted of the effect of the components of capacity on health status and social network analysis. Results: As for capacity on individual levels, while D-gu was mainly developed inn individual capacity in terms of social interaction, Y-gu was stronger in a sense of community and cohesion among residents. As for capacity on organizational levels, Y-gu was more developed than was D-gu in associational networks. Conclusion: It is necessary to develop health promotion program per community and to strengthen partnerships with and among grassroots organizations based in local communities through the measurement of community capacity.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.935-946
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• 2016

In this paper, we analyzed wage determinants of the vocational high school graduates utilizing both individual-level and work region-level variables. We formulate the models in the way wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and work region-level (level-2) variables. To incorporate dependency between individual wages into the model, we utilize hierarchical linear model (HLM). The major results are as follows. First, it is shown that the HLM model is better than the OLS regression models which do not take level-1 and level-2 variables simultaneously into account. Second, random effects on sex, maester dummy and engineering dummy variables are statistically significant. Third, the fixed effects on business hours and mean wage of regular job for level-2 variables are statistically significant effect individual-level wages. Finally, parental education level, parental income, number of licenses and high school grade are statistically significant for higher individual-level wages.

• Ocean and Polar Research
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• v.34 no.3
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• pp.275-286
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• 2012

Over the last 20 years there have been more than 3000 peer-reviewed papers relating to climate change and biodiversity published, and still the numbers are increasing. However, most studies focused on the impacts of climate change at population or community levels, and the results invariably reveal that there has been, or will be, a negative effect on the structure and pattern of biodiversity. Moreover, the climate change models and statistical analyses used to test the impacts are only newly developed, and the analyses or predictions can often be misled. In this review, I ask why an individual's life history is considered in the study how climate change affects biodiversity, and what ecological factors are impacted by climate change. Using evidence from a range of species, I demonstrate that diverse life history traits, such as early growth rate, migration/foraging behaviour and lifespan, can be shifted by climate change at individual level. Particularly I discuss that the optimal decision under unknown circumstance (climate change) would be the reduction of the ecological fitness at individual level, and hence, a shift in the balance of the ecosystem could be affected without having a critical impact on any one species. To conclude, I summarize the links between climate changes, ecological decision in life history, the revised consequence at individual level, and discuss how the finely-balanced relationship affects biodiversity and population structure.

• STI Policy Review
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• v.3 no.2
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• pp.92-110
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• 2012

An active policy role is suggested for collaboration that will enhance national level Science and Technology (S&T) capabilities. In contrast, some studies see a limited role of policy support for collaborative S&T research at the individual level (including research groups or institutional levels) due to their self-organizing nature. Two views on S&T collaboration look at different levels but existing research largely ignores the context of developing countries. This paper shows how S&T collaborations between Brazil and Korea have developed over the past two decades. The paper indicates the gaps between initiation and the actual establishment of collaborative research at national and individual levels, differences in the focus areas of research, differences in resources and project planning, and the nature of collaborations. Collaborative research activities at the national level were initiated before the individual level but activated later than the individual level; in addition, the focus areas of research were laid down earlier at the national level with individual collaborations focused on different areas. Project types remained different at each level (i.e. top-down and bottom-up) or with a slightly changing mix. This study suggests appropriate policy measures (such as the timely and effective information collection of activities at different levels and proactive coordination) that could reduce the gaps in the timing and alignment of research areas. This paper also alludes to an evolutionary model to develop S&T collaboration among developing countries.

• Research in Community and Public Health Nursing
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• v.31 no.spc
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• pp.549-562
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• 2020

Purpose: This study aimed to identify individual- and regional-level factors associated with perceived good health and multimorbidity among older adults. Methods: Secondary analysis of the 2017 Korea Community Health Survey was conducted on a sample of 67,532 older adults. The individual level data set was combined with regional-level factors from the administrative data released on the Korea National Statistical Office website. Distribution of perceived good health and multimorbidity in 254 public health centers were calculated using sampling weights and presented as percentages. Multilevel logistic regression analyses were used to identify individual- and regional-level factors associated with perceived good health and multimorbidity. Results: Overall, 21.1% of subjects perceived their health to be good, ranging from 9.3% to 39.4% by region. The prevalence of multimorbidity was 15.9%, and varied between 6.6% and 22.6% by region. At the individual level, perceived good health was associated with men, younger age, higher educational levels, higher income levels, and those married and living with a partner and maintaining a healthy lifestyle. At the regional level, higher rates of health center personnel among public officials and higher levels of financial independence were associated with perceived good health. Multimorbidity was associated with marital status and healthy lifestyle, and higher rates of health center personnel among public officials. Conclusion: Regional factors such as health care personnel and local economy could affect population health. Our findings suggest the need to consider individual- and regional-level factors to promote good health among older adults and reduce the health gap by region.

• Journal of agricultural medicine and community health
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• v.47 no.4
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• pp.268-274
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• 2022

Objectives: The purpose of this study was to identify the individual and regional risk factors on depression using community-based data in Jeollabuk-do. Methods: This cross-sectional study obtained data from the Community Health Survey 2018 in Jeollabuk-do. The dependent variable was depression measured by Patient Health Questionnaire-9 (PHQ-9). The prevalence of depression was defined if total score of PHQ-9 was 10 or higher. A multilevel analysis was conducted to consider individual and regional level independent variables that could be risk factors for depression. Results: In the individual level, female gender and smokers had significantly higher odds ratios (ORs) for depression of 1.58 and 1.72, respectively. Subjects with economic activity, higher income and higher education had significantly lower ORs of 0.53, 0.41 and 0.66. In the regional level, higher greening rates and lower levels of PM2.5 had statistically lower ORs at the significance level of 10%. Conclusion: By conducting this study, risk factors associated with depression were identified in individual- and regional-level. This study suggests that health projects are needed to control regional level risk factors including community networks for mental health management in addition to the traditional individual level risk factors.

• The Journal of Information Systems
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• v.26 no.1
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• pp.1-19
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• 2017

Purpose This study examines the roles of individual- and country-level social capital in entrepreneurial activities from the context of crowdfunding. Design/methodology/approach Two primary sources were used for data collection. From Kickstarter, the largest U.S.-based crowdfunding platform, this study obtained 15,716 crowdfunding projects and individual-level social capital. For country-level social capital, the social capital index from the 2016 Legatum Prosperity Index was utilized. By matching individual- and country-level social capital for each crowdfunding project, this research estimates the role of social capital in entrepreneurial activities at the individual and country level using the Poisson regression and the negative binomial regression. Findings Individual-level social capital measured by the number of Facebook friends, the number of other crowdfunding projects that a crowdfunding project founder invested in, and the word count of the description of a crowdfunding project are positively associated with the number of crowdfunding projects created by founders. The country-level social capital measured by aggregated social capital index is also positively associated with the number of crowdfunding projects created by founders. Both individual- and country-level social capital have a positive impact on entrepreneurial activities in terms of the creation of new crowdfunding projects.