PURPOSE: There is debate whether transition zone index is correlated with the parameters of benign prostatic hyperplasia. The purpose of this study was 3-fold: 1) to determine if transition zone index is correlated with the symptom score and peak flow rates of clinical benign prostatic hyperplasia, 2) to determine if transition zone index is correlated with the symptom score and peak flow rates of clinical benign prostatic hyperplasia after TURP, and lastly 3) to determine if the improvement of symptom score and peak flow rates after TURP is different according to transition zone index. MATERIALS AND METHODS: Fifty eight men, who underwent TURP, were measured total prostate volume and transition zone volume by trasnsrectal ultrasonography. All men were requested to undergo uroflowmetry and intermational prostate symptom score(IPSS), before and after TURP. RESULTS: The significant correlation between transition zone index and IPSS(p = 0.0001, R2 = 0.3652), and the relationships between transition zone index versus peak flow were not statistically significant(p = 0.79, R2 = 0.0015) before TURP. A weak relationship was observed between transition zone index versus IPSS(p = 0.0019, R2 = 0.16), peak flow rate(p = 0.022, R2 = 0.0811) after TURP. The improvement of IPSS and peak flow rate showed statistically significant difference according to transition zone index(p = 0.0001, 0.0787) CONCLUSIONS: The higher transition zone index, the more favorable outcome of transurethral resection of prostate was expected. On the contrary, the lower transition zone index, the less favorable outcome. So transition zone index can be used as a factor predicting the outcome of transurethral resection of prostate. The patient with lower transition zone index may have other factors affecting improvement of symptoms and peak flow rate in addition to obstruction.
Humans ; Male ; Prostate ; Prostatic Hyperplasia* ; Transurethral Resection of Prostate* ; Ultrasonography

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Purpose: To investigate the prevalence of lower urinary tract symptoms/benign prostatic hyperplasia in a Korean population. Materials and Methods: The Korean Prostate & Voiding Health Association provided free prostate-related community health care and conducted surveys in all regions of Korea from 2001 to 2022 with the cooperation of local government public health centers. A total of 72,068 males older than 50 were surveyed and analyzed. History taking, International Prostate Symptom Score (IPSS), transrectal ultrasonography, prostate-specific antigen (PSA) testing, uroflowmetry, and urine volume testing were performed. Results: The mean prostate volumes in males in their 50s, 60s, 70s, and 80s or above were 24.7 g, 27.7 g, 31 g, and 33.7 g, respectively. The proportion of males with high PSA greater than 3 ng/mL was 3.8% among males in their 50s, 7.7% among males in their 60s, 13.1% among males in their 70s, and 17.9% among males 80 years of age or older. The mean IPSS total scores in males in their 50s, 60s, 70s, and 80s or above were 10.7, 12.7, 14.5, and 16, respectively. Severe symptoms were reported by 27.3% of males, whereas 51.7% reported moderate symptoms. The mean Qmax in males in their 50s, 60s, 70s, and 80s or above were 20 mL/s, 17.4 mL/s, 15.4 mL/s, and 13.8 mL/s, respectively. Conclusions In this population-based study, mean prostate volume, IPSS, PSA, and Qmax were 30.6±15.1 g, 14.8±8.2, 1.9±4.7 ng/mL, and 15.6±6.5 mL/s, respectively. Aging was significantly associated with increased prostate volume, PSA levels, and IPSS scores, and with decreased Qmax and urine volume.