Purpose
This study employed structural equation modeling to verify the suitability and causality of a hypothetical model constructed based on Wilson and Cleary's health-related quality of life model. The aim was to explain and identify the factors that influence quality of life in middle-aged men with prostatic hyperplasia.
Methods
The study included 217 middle-aged men diagnosed with prostatic hyperplasia between February and March 2022 at the urology department of a general hospital in UJB city. The measurement tools used included biological characteristics, International Prostate Symptom Scores, functional health, general health perceptions, social support, and quality of life. The data collected were analyzed using the SPSS 25.0 and AMOS 25.0 programs.
Results
The final model revealed that the variables with the highest explanatory power for quality of life in middle-aged men with prostatic hyperplasia were general health perceptions, followed by the International Prostate Symptom Score, functional health, and prostate size. The explanatory power of the variables for quality of life in middle-aged men with prostatic hyperplasia was 89.7%.
Conclusion
The model used in this study was found to be suitable for assessing quality of life in middle-aged men with prostatic hyperplasia. Based on the study's findings, it is deemed necessary to foster competencies for managing the disease through the development of educational programs, nursing interventions, and countermeasures. These should be based on general health perceptions, symptoms, and functional health, with an accurate knowledge of the characteristics of prostatic hyperplasia, as per Wilson and Cleary (1995)'s health-related quality of life theory.

PURPOSE
The purpose of this study was to investigate the relationships between LLFDI and quality of sleep in older men with prostatic hypertrophic symptoms.
METHODS
The secondary analysis of data collected for the 2nd stage BK(Brain Korea)21 project was performed. The original data were collected using a cross-sectional, face-to-face, and private interview method. The questionnaires consisted of prostatic hypertrophic symptoms, late-life function and disability, quality of sleep, and demographic profiles.
RESULTS
A total of 112 older men included in this study. The major findings of this study were as follow; 1) 29.5% of participants had more than moderate symptoms of prostatic hypertrophy. 2) There were a significant positive correlation of prostatic hypertrophic symptoms with subjective sleep quality, sleep latency, sleep disturbances, use of sleeping medication, and daytime dysfunction found, whereas there was a negative relationship with frequency dimension. 3) The LLFDI is significantly associated with urgency, weak stream, and intermittency. The quality of sleep is significantly associated with weak stream which explained 11.2% of variance.
CONCLUSION
These results may contribute to a better understanding late-life function and disability, quality of sleep in older men with prostatic hypertrophic symptoms. Therefore, health programs for prompting older men's health should be planned based on results of the study.