Association between Health Problems and Turnover Intention in Shift Work Nurses: Health Problem Clustering

• Main Authors: Jison Ki, Jaegeum Ryu, Jihyun Baek, Iksoo Huh, Smi Choi-Kwon
• Format: Article
• Language: English
• Published: MDPI AG 2020-06-01
• Series: International Journal of Environmental Research and Public Health
• Subjects: nurses; turnover intention; hierarchical clustering; fatigue; sleep
• Online Access: https://www.mdpi.com/1660-4601/17/12/4532

Shift work nurses experience multiple health problems due to irregular shifts and heavy job demands. However, the comorbidity patterns of nurses’ health problems and the association between health problems and turnover intention have rarely been studied. This study aimed to identify and cluster shift work nurses’ health problems and to reveal the associations between health problems and turnover intention. In this cross-sectional study, we analyzed data from 500 nurses who worked at two tertiary hospitals in Seoul, South Korea. Data, including turnover intention and nine types of health issues, were collected between March 2018 and April 2019. Hierarchical clustering and multiple ordinal logistic regressions were used for the data analysis. Among the participants, 22.2% expressed turnover intention and the mean number of health problems was 4.5 (range 0–9). Using multiple ordinal logistic regressions analysis, it was shown that sleep disturbance, depression, fatigue, a gastrointestinal disorder, and leg or foot discomfort as a single health problem significantly increased turnover intention. After clustering the health problems, four clusters were identified and only the neuropsychological cluster—sleep disturbance, fatigue, and depression—significantly increased turnover intention. We propose that health problems within the neuropsychological cluster must receive close attention and be addressed simultaneously to decrease nurse’s turnover intentions.