Journal of Korean Academy of Nursing

Eunsil Ju

3 Articles

Identifying Latent Classes of Risk Factors for Coronary Artery Disease: Eunsil Ju, JiSun Choi; J Korean Acad Nurs 2017;47(6):817-827. Published online January 15, 2017; DOI: https://doi.org/10.4040/jkan.2017.47.6.817

Abstract Purpose

This study aimed to identify latent classes based on major modifiable risk factors for coronary artery disease.

Methods

This was a secondary analysis using data from the electronic medical records of 2,022 patients, who were newly diagnosed with coronary artery disease at a university medical center, from January 2010 to December 2015. Data were analyzed using SPSS version 20.0 for descriptive analysis and Mplus version 7.4 for latent class analysis.

Results

Four latent classes of risk factors for coronary artery disease were identified in the final model: ‘smoking-drinking’, ‘high-risk for dyslipidemia’, ‘high-risk for metabolic syndrome’, and ‘high-risk for diabetes and malnutrition’. The likelihood of these latent classes varied significantly based on socio-demographic characteristics, including age, gender, educational level, and occupation.

Conclusion

The results showed significant heterogeneity in the pattern of risk factors for coronary artery disease. These findings provide helpful data to develop intervention strategies for the effective prevention of coronary artery disease. Specific characteristics depending on the subpopulation should be considered during the development of interventions.

Citations

Citations to this article as recorded by

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Effects of Nurses' Social Capital on Turnover Intention: Focused on the Mediating Effects Organizational Commitment and Organizational Cynicism: Jeongwon Han, Heeyoung Woo, Eunsil Ju, Sohee Lim, Sangsook Han; J Korean Acad Nurs 2013;43(4):517-525. Published online August 30, 2013; DOI: https://doi.org/10.4040/jkan.2013.43.4.517

Abstract PDF

Purpose

The purpose of this study was to investigate the casual relationship between nurses' social capital and turnover intention and to verify the goodness of fit between a hypothetical model and actual data in order to suggest the best model.

Methods

This survey was conducted with 315 nurses working in general hospitals in Seoul. Data were collected from December 1 to December 30, 2011, and analyzed using SPSS Windows 18.0 and AMOS 16.0.

Results

Nurses' social capital was found to have a direct effect on reducting organization cynicism and increasing organizational commitment. Nurses' organizational cynicism and organizational commitment were found to have a direct effect on turnover intention, but social capital did not have a direct effect on turnover intention. However, social capital had a partial and indirect effect on turnover intention through mediating organizational cynicism and organizational commitment.

Conclusion

Results of this study indicate that nurse managers should put increased effort in reducing nurses' organizational cynicism and improving their organizational commitment, two contrary parameters. At the same time managers need to develop plans to establish social capital more efficiently so that nurses have lower turnover intention.

Citations

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