Objectives: There is limited knowledge regarding the impact of lifestyle changes on cardiovascular events and mortality among individuals with prehypertension or prediabetes. Methods: This was a serial retrospective cohort study utilizing data from the Korean National Health Insurance Service Health Screening Cohort. The primary outcome considered in the study was major adverse cardiovascular events (MACE). Results: A higher risk of MACE was found in men with prehypertension whose unhealthy lifestyle deteriorated (hazard ratio [HR], 1.13; 95% CI, 1.04–1.23; P=0.004), those who gained weight (HR, 1.15;95% CI, 1.03–1.28; P=0.010), and those who began smoking (HR, 1.34; 95% CI, 1.17–1.55; P<0.001).Conversely, a reduced risk of MACE was observed in men with prehypertension who improved their unhealthy lifestyle, quit smoking, reduced alcohol consumption, or increased the frequency of physical activity. In men with prediabetes, the risk of MACE was higher in those whose unhealthy lifestyle worsened (HR, 1.23; 95% CI, 1.12–1.35; P<0.001), those who gained weight (HR, 1.19; 95% CI, 1.06–1.33; P=0.003), those who started smoking (HR, 1.41; 95% CI, 1.22–1.64; P<0.001), and those who decreased their physical activity frequency (HR, 1.21; 95% CI, 1.09–1.35; P<0.001). Conclusion Preventive lifestyle changes reduce cardiovascular events and mortality, particularly in men at risk of developing hypertension or type 2 diabetes.

Objectives: There is limited knowledge regarding the impact of lifestyle changes on cardiovascular events and mortality among individuals with prehypertension or prediabetes. Methods: This was a serial retrospective cohort study utilizing data from the Korean National Health Insurance Service Health Screening Cohort. The primary outcome considered in the study was major adverse cardiovascular events (MACE). Results: A higher risk of MACE was found in men with prehypertension whose unhealthy lifestyle deteriorated (hazard ratio [HR], 1.13; 95% CI, 1.04–1.23; P=0.004), those who gained weight (HR, 1.15;95% CI, 1.03–1.28; P=0.010), and those who began smoking (HR, 1.34; 95% CI, 1.17–1.55; P<0.001).Conversely, a reduced risk of MACE was observed in men with prehypertension who improved their unhealthy lifestyle, quit smoking, reduced alcohol consumption, or increased the frequency of physical activity. In men with prediabetes, the risk of MACE was higher in those whose unhealthy lifestyle worsened (HR, 1.23; 95% CI, 1.12–1.35; P<0.001), those who gained weight (HR, 1.19; 95% CI, 1.06–1.33; P=0.003), those who started smoking (HR, 1.41; 95% CI, 1.22–1.64; P<0.001), and those who decreased their physical activity frequency (HR, 1.21; 95% CI, 1.09–1.35; P<0.001). Conclusion Preventive lifestyle changes reduce cardiovascular events and mortality, particularly in men at risk of developing hypertension or type 2 diabetes.

Objectives: There is limited knowledge regarding the impact of lifestyle changes on cardiovascular events and mortality among individuals with prehypertension or prediabetes. Methods: This was a serial retrospective cohort study utilizing data from the Korean National Health Insurance Service Health Screening Cohort. The primary outcome considered in the study was major adverse cardiovascular events (MACE). Results: A higher risk of MACE was found in men with prehypertension whose unhealthy lifestyle deteriorated (hazard ratio [HR], 1.13; 95% CI, 1.04–1.23; P=0.004), those who gained weight (HR, 1.15;95% CI, 1.03–1.28; P=0.010), and those who began smoking (HR, 1.34; 95% CI, 1.17–1.55; P<0.001).Conversely, a reduced risk of MACE was observed in men with prehypertension who improved their unhealthy lifestyle, quit smoking, reduced alcohol consumption, or increased the frequency of physical activity. In men with prediabetes, the risk of MACE was higher in those whose unhealthy lifestyle worsened (HR, 1.23; 95% CI, 1.12–1.35; P<0.001), those who gained weight (HR, 1.19; 95% CI, 1.06–1.33; P=0.003), those who started smoking (HR, 1.41; 95% CI, 1.22–1.64; P<0.001), and those who decreased their physical activity frequency (HR, 1.21; 95% CI, 1.09–1.35; P<0.001). Conclusion Preventive lifestyle changes reduce cardiovascular events and mortality, particularly in men at risk of developing hypertension or type 2 diabetes.

Objectives: There is limited knowledge regarding the impact of lifestyle changes on cardiovascular events and mortality among individuals with prehypertension or prediabetes. Methods: This was a serial retrospective cohort study utilizing data from the Korean National Health Insurance Service Health Screening Cohort. The primary outcome considered in the study was major adverse cardiovascular events (MACE). Results: A higher risk of MACE was found in men with prehypertension whose unhealthy lifestyle deteriorated (hazard ratio [HR], 1.13; 95% CI, 1.04–1.23; P=0.004), those who gained weight (HR, 1.15;95% CI, 1.03–1.28; P=0.010), and those who began smoking (HR, 1.34; 95% CI, 1.17–1.55; P<0.001).Conversely, a reduced risk of MACE was observed in men with prehypertension who improved their unhealthy lifestyle, quit smoking, reduced alcohol consumption, or increased the frequency of physical activity. In men with prediabetes, the risk of MACE was higher in those whose unhealthy lifestyle worsened (HR, 1.23; 95% CI, 1.12–1.35; P<0.001), those who gained weight (HR, 1.19; 95% CI, 1.06–1.33; P=0.003), those who started smoking (HR, 1.41; 95% CI, 1.22–1.64; P<0.001), and those who decreased their physical activity frequency (HR, 1.21; 95% CI, 1.09–1.35; P<0.001). Conclusion Preventive lifestyle changes reduce cardiovascular events and mortality, particularly in men at risk of developing hypertension or type 2 diabetes.

Objectives: There is limited knowledge regarding the impact of lifestyle changes on cardiovascular events and mortality among individuals with prehypertension or prediabetes. Methods: This was a serial retrospective cohort study utilizing data from the Korean National Health Insurance Service Health Screening Cohort. The primary outcome considered in the study was major adverse cardiovascular events (MACE). Results: A higher risk of MACE was found in men with prehypertension whose unhealthy lifestyle deteriorated (hazard ratio [HR], 1.13; 95% CI, 1.04–1.23; P=0.004), those who gained weight (HR, 1.15;95% CI, 1.03–1.28; P=0.010), and those who began smoking (HR, 1.34; 95% CI, 1.17–1.55; P<0.001).Conversely, a reduced risk of MACE was observed in men with prehypertension who improved their unhealthy lifestyle, quit smoking, reduced alcohol consumption, or increased the frequency of physical activity. In men with prediabetes, the risk of MACE was higher in those whose unhealthy lifestyle worsened (HR, 1.23; 95% CI, 1.12–1.35; P<0.001), those who gained weight (HR, 1.19; 95% CI, 1.06–1.33; P=0.003), those who started smoking (HR, 1.41; 95% CI, 1.22–1.64; P<0.001), and those who decreased their physical activity frequency (HR, 1.21; 95% CI, 1.09–1.35; P<0.001). Conclusion Preventive lifestyle changes reduce cardiovascular events and mortality, particularly in men at risk of developing hypertension or type 2 diabetes.

Purpose: We aimed to investigate the visual recovery time in patients with ethambutol-induced toxic optic neuropathy (EON) and identify the factors associated with the visual recovery time. Methods: In this retrospective cohort study, we reviewed the medical records of 35 eyes from 35 patients with EON. Visual recovery was defined as a gain of three or more lines from the nadir. Results: Patients were observed following discontinuation of ethambutol (EMB), with the mean follow-up period of 21.0 ± 16.0 months. The visual acuity at nadir was logarithm of the minimum angle of resolution 1.4 ± 0.4, and the final visual acuity was logarithm of the minimum angle of resolution 0.6 ± 0.5. Twenty-seven eyes (77.1%) showed significant visual recovery. In Kaplan-Meier survival, the mean estimated time for visual recovery was 15.2 ± 3.0 months, and 50% of the patients experienced visual recovery at 8.3 ± 2.2 months following EMB discontinuation. Multivariate Cox regression analysis identified several significant risk factors for delayed visual recovery, including duration of EMB medication ≤6 months, period from symptom onset to EMB discontinuation >14 days, and baseline peripapillary retinal nerve fiber layer thickness >98 μm. Conclusions Our study indicated a mean time of visual recovery of 15 months for EON cases. Therefore, patients diagnosed with EON should be followed up for more than 1 to 2 years to evaluate their visual recovery. Delayed EMB discontinuation, short duration of EMB use, and initial peripapillary retinal nerve fiber layer thickening were associated with delayed visual recovery. Therefore, patients taking EMB should be followed up regularly for early detection of EON and immediate discontinuation of EMB to prevent severe damage to the optic nerve.

Background: To report the clinical manifestations of non-arteritic anterior ischemic optic neuropathy (NAION) cases after coronavirus disease 2019 (COVID-19) vaccination in Korea. Methods: This multicenter retrospective study included patients diagnosed with NAION within 42 days of COVID-19 vaccination. We collected data on vaccinations, demographic features, presence of vascular risk factors, ocular findings, and visual outcomes of patients with NAION. Results: The study included 16 eyes of 14 patients (6 men, 8 women) with a mean age of 63.5 ± 9.1 (range, 43–77) years. The most common underlying disease was hypertension, accounting for 28.6% of patients with NAION. Seven patients (50.0%) had no vascular risk factors for NAION. The mean time from vaccination to onset was 13.8 ± 14.2 (range, 1–41) days. All 16 eyes had disc swelling at initial presentation, and 3 of them (18.8%) had peripapillary intraretinal and/or subretinal fluid with severe disc swelling. Peripapillary hemorrhage was found in 50% of the patients, and one (6.3%) patient had peripapillary cotton-wool spots. In eight fellow eyes for which we were able to review the fundus photographs, the horizontal cup/ disc ratio was less than 0.25 in four eyes (50.0%). The mean visual acuity was logMAR 0.6 ± 0.7 at the initial presentation and logMAR 0.7 ± 0.8 at the final visit. Conclusion Only 64% of patients with NAION after COVID-19 vaccination have known vascular and ocular risk factors relevant to ischemic optic neuropathy. This suggests that COVID-19 vaccination may increase the risk of NAION. However, overall clinical features and visual outcomes of the NAION patients after COVID-19 vaccination were similar to those of typical NAION.

Purpose: We report the clinical features, diagnoses, and treatments of patients with neuro-ophthalmological diseases presenting to a tertiary referral center emergency room (ER) of South Korea. Methods: We retrospectively analyzed the medical records of 205 patients who visited the ER of the Asan Medical Center and then were referred to our neuro-ophthalmology department from May 2020 to April 2022. The initial diagnoses of ophthalmology residents were compared to the final diagnoses of neuro-ophthalmologists. We describe the symptoms, diagnoses, and treatments. Results: The median time from the onset of symptoms to the ER visit was 3 days; diplopia (49.1%) and vision loss/a visual field defect (38.9%) were the chief complaints. The most common causes of diplopia were isolated cranial nerve 4 (37.5%), 6 (22.9%), and 3 palsy (18.4%) and supranuclear palsy (9.2%). In patients with vision loss/visual field defect, the most common causes were optic (20.5%), ischemic (17.1%), and compressive (8.0%) optic neuropathies. For 121 cases (59.0%), multidisciplinary consultations with the departments of neurology, neurosurgery, and internal medicine were scheduled. After initial management in the ER, 38 diagnoses (18.5%) changed after evaluation by neuro-ophthalmologists. Conclusions Over half of all neuro-ophthalmology patients presenting to an ER required comprehensive interdisciplinary evaluation and over a third required inpatient treatment.

Background: University students have been known as having a higher rate of problem drinking than the general population in South Korea. In particular, the university freshmen may experience problem drinking from increased occasions of frequent social gatherings at the first school year as they have increased time to freely use compared to the high school days. Problem drinking among university freshmen may be influenced by multiple factors. The present study aimed to examine the prevalence of problem drinking and to identify individualand family-level factors associated with university freshmen's problem drinking. Methods: A cross-sectional, correlation study was conducted. Participants were 227 university freshmen (70 men and 157 women) under the parenting of mother and father from 10 universities in Seoul. The problem drinking was evaluated by using the Alcohol Use Disorder Identification Test. Alcohol Abstinence Self-Efficacy Scale and Parental Authority Questionnaire for parenting behaviors were used. Results: The prevalence of problem drinking was 58.6% among university freshmen. An individual-level factor of alcohol abstinence self-efficacy was significantly associated with the prevalence of problem drinking (odds ratio, 0.94; 95% confidence interval, 0.91-0.96) among university freshmen. However, any of family-level factors including types of parenting behaviors were not significantly associated with the prevalence of problem drinking. Conclusions Alcohol abstinence self-efficacy may be a strong protective factor against university freshmen's problem drinking. University-based alcohol abstinence programs should comprise of nursing strategies including the enhancement of abstinence self-efficacy at the first school year.

Background: University students have been known as having a higher rate of problem drinking than the general population in South Korea. In particular, the university freshmen may experience problem drinking from increased occasions of frequent social gatherings at the first school year as they have increased time to freely use compared to the high school days. Problem drinking among university freshmen may be influenced by multiple factors. The present study aimed to examine the prevalence of problem drinking and to identify individualand family-level factors associated with university freshmen's problem drinking. Methods: A cross-sectional, correlation study was conducted. Participants were 227 university freshmen (70 men and 157 women) under the parenting of mother and father from 10 universities in Seoul. The problem drinking was evaluated by using the Alcohol Use Disorder Identification Test. Alcohol Abstinence Self-Efficacy Scale and Parental Authority Questionnaire for parenting behaviors were used. Results: The prevalence of problem drinking was 58.6% among university freshmen. An individual-level factor of alcohol abstinence self-efficacy was significantly associated with the prevalence of problem drinking (odds ratio, 0.94; 95% confidence interval, 0.91-0.96) among university freshmen. However, any of family-level factors including types of parenting behaviors were not significantly associated with the prevalence of problem drinking. Conclusions Alcohol abstinence self-efficacy may be a strong protective factor against university freshmen's problem drinking. University-based alcohol abstinence programs should comprise of nursing strategies including the enhancement of abstinence self-efficacy at the first school year.