Purpose
This study analyzed publications from the past decade in the Korean Journal of Adult Nursing (KJAN) to examine patterns in research design and thematic trends using both manual coding and topic modeling approaches.
Methods
A retrospective review was conducted of research articles published in KJAN between 2015 and 2024. Study designs and methodological characteristics were classified using a structured coding framework and analyzed with descriptive statistics. A text-mining approach incorporating keyword network analysis and latent Dirichlet allocation topic modeling was applied to examine thematic patterns.
Results
Over the past decade, quantitative research was the predominant methodological approach, accounting for more than 70% of the 544 studies. The proportion of qualitative research decreased, whereas literature reviews increased. Within quantitative research, experimental studies declined, while secondary-data analyses and online surveys increased substantially. Keyword and topic analyses consistently highlighted psychological health, quality of life, chronic illness, and older adults as central research domains. Topic modeling further identified five major themes: (1) clinical interventions and symptom management; (2) disease management and health literacy; (3) psychological health, quality of life, and family/social support; (4) health behavior and functional/physical health; and (5) clinical practice, nursing workforce, and work environment.
Conclusion
Adult nursing research in South Korea demonstrates both continuity and change, with sustained emphasis on psychosocial and chronic illness–related topics and increasing attention to workforce issues. To strengthen future scholarship, greater efforts are needed to ensure that findings derived from diverse research designs are reported in a coherent and integrated manner.

PURPOSE
The purpose of this study was to identify factors affecting sleep quality in nurses working in a tertiary hospital in Korea.
METHODS
The sample of two hundred and sixty three nurses was drawn from one tertiary care hospital in Korea. Using a descriptive study design, clinical nurses completed the standardized questionnaires, including sleep quality, depressive symptoms, and resilience. Descriptive statistics were computed to describe the sample and study variables. Logistic regression analyses were used to identify factors affecting sleep quality which was classified into two categories.
RESULTS
A total of 263 registered nurses participated in this study. Most of the participants were female (n=252, 95.8%) and single (n=148, 75.9%), with a mean age of 30.09±7.51 years. The average score of sleep quality was 8.57±3.24. Using a cut-off point of 5.0, 84.0% (n=221) were poor sleepers. After controlling for demographic and job-related variables, the depressive symptoms and resilience were associated with poor sleep quality among clinical nurses (Odds Ratio [OR]=4.56, 95% Confidence Interval [CI]=1.02~20.49; OR=0.97, 95% CI=0.94~0.99, respectively). This model explained 19.5% of the variance in sleep quality.
CONCLUSION
The two factors reported to impact the quality of sleep were increased depressive symptoms and lower resilience levels. In order to improve nurses' sleep quality, researchers and nursing administrators need to develop and provide some strategies for decreasing depressive symptoms and enhancing their resilience.

Citations

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