Purpose: To analyze and compare changes in refractive error according to different haptic intraocular lenses after cataract surgery. Methods: We retrospectively reviewed the medical records of 508 eyes of 254 patients who underwent cataract surgery in both eyes, with the MBI® SAL302AC (C loop haptic intraocular lens [IOL]) used in one eye and the Zeiss® CT ASPHINA509M (plate haptic IOL) in the other. Using the Barrett Universal II formula, prediction errors were calculated at 1 week, 2 weeks, 1 month, 2 months, and 6 months after surgery.Result: In the C loop group, prediction error was -0.26 ± 0.42 diopter (D) and -0.17 ± 0.45 D at weeks 1 and 2 postoperatively, respectively. Hyperopic shift, which reduced myopia, progressed until 2 weeks postoperatively (p < 0.001), after which there was no significant further shift. In the plate group, prediction error was -0.37 ± 0.45 D at 1 week postoperatively, -0.25 ± 0.44 D at 2 weeks postoperatively, -0.11 ± 0.44 D at 1 month postoperatively, and -0.04 ± 0.44 D at 2 months postoperatively. Hyperopic shift progressed at 2 weeks (p < 0.001), 1 month (p < 0.001), and 2 months (p = 0.02), after which there was no significant further shift. There were no significant differences in the mean or median absolute error at 2 months postoperatively. Conclusions In both the C loop and plate groups, refraction was myopic at 1 week postoperatively, and then the C loop group progressed to hyperopic shift until 2 weeks postoperatively, and the plate group progressed to hyperopic shift until 2 months postoperatively. At 2 months postoperatively, prediction error of the plate group showed a hyperopic tendency compared to the C loop group, but there was no difference in accuracy based on the absolute error using the Barrett Universal II formula.

Purpose: We compared the effects of 0.05% and 0.1% cyclosporine on dry eye symptoms following cataract surgery. Methods: We retrospectively reviewed the medical records of patients with dry eye syndrome who underwent cataract surgery. The patients were separated into 0.05% and 0.1% cyclosporine groups. Each group had been treated with their routine eye drops for 3 months after cataract surgery. We evaluated dry eye symptoms and signs using the Schirmer test, tear film breakup time (TBUT), corneal and conjunctival staining score, ocular surface disease index (OSDI), and matrix metalloproteinase 9 (MMP-9) testing of the tear film preoperatively and at 2 weeks, 1 month, and 3 months postoperatively. We also compared dry eye symptoms between the groups by dividing all patients according to dry eye severity. Results: The study included 84 eyes (84 patients). The 0.05% cyclosporine group had an increase in the Schirmer test and improved corneal and conjunctival staining scores at 3 months postoperatively. The 0.1% cyclosporine group had improved corneal and conjunctival staining scores at 1 and 3 months postoperatively. The OSDI and MMP-9 results indicated a significant decrease in both groups at 2 weeks, 1 month and 3 months postoperatively. There were no significant differences in the change in dry eye symptoms after cataract surgery between the 0.05% and 0.1% cyclosporine groups. In the patients with level II dry eye syndrome, the 0.05% cyclosporine group showed a significant increase in the Schirmer test compared to the 0.1% cyclosporine group at 3 months postoperatively. The 0.1% cyclosporine group showed a significant improvement in TBUT compared to the 0.05% cyclosporine group at 3 months postoperatively. Conclusions Both 0.05% and 0.1% cyclosporine are effective treatments for improving dry eye symptoms and ocular surface inflammation after cataract surgery. Both eye drops are considered to have similar effectiveness.

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.

Objective: The coronavirus disease-2019 (COVID-19) pandemic radically shifted occupational patterns, leading to increased telecommuting and related stressors. Healthcare providers, among the most impacted group, faced heightened risks and workplace changes. Our study examined the efficacy of forest therapy in alleviating work-induced stress across various professions, exploring the need for profession-specific stress-relief strategies in the post-pandemic workplace. Methods: To examine the impact of COVID-19 on professionals, 62 participants were recruited, consisting of 20 healthcare providers, 21 information technology (IT) specialists, and 21 teachers. Instruments such as Pittsburgh Sleep Quality Index and Hospital Anxiety and Depression Scale, along with salivary tests for cortisol and melatonin, were used to assess the participants’ sleep and stress levels. A specialized forest healing program was implemented among these participants. Data analysis was conducted using SPSS Win Ver. 22.0, utilizing paired t-tests and a repeated measures analysis of variance. Results: Significant improvements were observed in the participants’ sleep metrics, depression scales, and stress levels after the forest healing program. Physiological measures indicated an increase in melatonin and a decline in cortisol and dehydroepiandrosterone sulfate levels, with only cortisol changes being statistically significant. Teachers, participating during school vacations, exhibited minimal stress-related physiological changes. Overall, the program demonstrated widespread health benefits regardless of occupation or gender. Conclusion This study showed that forest therapy reduced stress equally across professions, including healthcare providers, IT specialists, and teachers. Individual physiological responses may play a greater role in stress relief than the specific occupation.