Objective: To investigate the impact of circadian rhythm disruptions on mental health among college students and explore effective interventions for maintaining stable circadian rhythms. Methods: A comprehensive review of literature was conducted, focusing on sleep patterns, circadian rhythms, and their effects on mental health. Studies were analyzed to identify common factors contributing to circadian misalignment in college students and effective treatments. Data from large-scale studies and specific clinical trials were utilized to understand the relationship between circadian rhythms and psychiatric disorders. Results: Disruptions in circadian rhythms were linked to increased prevalence of psychiatric disorders such as depression, anxiety, and bipolar disorder. Biological changes during adolescence, academic pressures, and extensive use of electronic devices were major contributing factors. Effective interventions included light therapy, chronotherapy, melatonin supplementation, and cognitive behavioral therapy for insomnia. Conclusion Stable circadian rhythms are crucial for mental health, particularly in college students who are vulnerable to disruptions due to lifestyle factors. Implementing interventions such as regular sleep schedules, light exposure management, and behavioral therapies can significantly improve mental health outcomes. Further research and targeted mental health programs are essential to address circadian misalignment and its associated psychiatric disorders in this population.

Background: and Purpose We delineated the association between otolithic dysfunction and blood pressure (BP) variability. Methods: We prospectively recruited 145 consecutive patients (age=71 [59–79] years, median [interquartile range]; 76 females) with orthostatic intolerance between December 2021 and December 2023 at a tertiary hospital in South Korea. Each patient underwent evaluations of cervical and ocular vestibular-evoked myogenic potentials (oVEMPs), 24-h noninvasive ambulatory BP monitoring (ABPM), and a head-up tilt-table test using the Finometer device. As measures of BP variability, the standard deviations (SDs) of the systolic BP (SBP SD) and the diastolic BP were calculated based on serial ABPM recordings. Patients were divided into those with orthostatic hypotension (OH, n=68) and those with a normal head-up tilt-table test despite orthostatic intolerance (NOI, n=77) groups. Results: A multivariable logistic regression analysis showed that OH was associated with bilateral oVEMP abnormalities (p=0.021), SBP SD (p=0.012), and female sex (p=0.004). SBP SD was higher in patients with OH than in those with NOI (p<0.001), and was not correlated with n1–p1 amplitude (p=0.491) or normalized p13–n23 amplitude (p=0.193) in patients with OH.The sensitivity and specificity for differentiating OH from NOI were 72.1% and 67.5%, respectively, at a cutoff value of 12.7 mm Hg for SBP SD, with an area under the receiver operating characteristic curve of 0.73. Conclusions Bilaterally deficient oVEMP responses may be associated with OH regardless of 24-h BP variability, reflecting the integrity of the otolith-autonomic reflex during orthostasis. Alternatively, 24-h BP variability is predominantly regulated by the baroreflex, which also participates in securing orthostatic tolerance complementary to the vestibulo-autonomic reflex.

Purpose: Recently, deep learning techniques have been introduced for age estimation, with automated methods based on radiographic analysis demonstrating high accuracy. In this study, we applied convolutional neural network (CNN) techniques to the lower dentition area on orthopantomograms (OPGs) of children to develop an automated age estimation model and evaluate its accuracy for use in forensic dentistry. Methods: In this study, OPGs of 2,856 subjects aged 3-14 years were analyzed. The You Only Look Once (YOLO) V8 object detection technique was applied to extract the mandibular dentition area on OPGs, designating it as the region of interest (ROI). First, 200 radiographs were randomly selected, and were used to train a model for extracting the ROI. The trained model was then applied to the entire dataset. For the CNN image classification task, 80% of OPGs were allocated to the training set, while the remaining 20% were used as the test set. A transfer learning approach was employed using the ResNet50 and VGG19 backbone models, with an ensemble technique combining these models to improve performance. The mean absolute error (MAE) on the test set was used as the validation metric, and the model with the lowest MAE was selected. Results: In this study, the age estimation model developed using mandibular dentition region from OPGs achieved MAE and root mean squared error (RMSE) values of 0.501 and 0.742, respectively, on the test set, and MAE and RMSE values of 0.273 and 0.354, respectively, on the training set. Conclusions The automated age estimation model developed in this study demonstrated accuracy comparable to that of previous research and shows potential for applications in forensic investigations. Increasing the sample size and incorporating diverse deep learning techniques are expected to further enhance the accuracy of future age estimation models.

Background: and Purpose We delineated the association between otolithic dysfunction and blood pressure (BP) variability. Methods: We prospectively recruited 145 consecutive patients (age=71 [59–79] years, median [interquartile range]; 76 females) with orthostatic intolerance between December 2021 and December 2023 at a tertiary hospital in South Korea. Each patient underwent evaluations of cervical and ocular vestibular-evoked myogenic potentials (oVEMPs), 24-h noninvasive ambulatory BP monitoring (ABPM), and a head-up tilt-table test using the Finometer device. As measures of BP variability, the standard deviations (SDs) of the systolic BP (SBP SD) and the diastolic BP were calculated based on serial ABPM recordings. Patients were divided into those with orthostatic hypotension (OH, n=68) and those with a normal head-up tilt-table test despite orthostatic intolerance (NOI, n=77) groups. Results: A multivariable logistic regression analysis showed that OH was associated with bilateral oVEMP abnormalities (p=0.021), SBP SD (p=0.012), and female sex (p=0.004). SBP SD was higher in patients with OH than in those with NOI (p<0.001), and was not correlated with n1–p1 amplitude (p=0.491) or normalized p13–n23 amplitude (p=0.193) in patients with OH.The sensitivity and specificity for differentiating OH from NOI were 72.1% and 67.5%, respectively, at a cutoff value of 12.7 mm Hg for SBP SD, with an area under the receiver operating characteristic curve of 0.73. Conclusions Bilaterally deficient oVEMP responses may be associated with OH regardless of 24-h BP variability, reflecting the integrity of the otolith-autonomic reflex during orthostasis. Alternatively, 24-h BP variability is predominantly regulated by the baroreflex, which also participates in securing orthostatic tolerance complementary to the vestibulo-autonomic reflex.

Objective: To investigate the impact of circadian rhythm disruptions on mental health among college students and explore effective interventions for maintaining stable circadian rhythms. Methods: A comprehensive review of literature was conducted, focusing on sleep patterns, circadian rhythms, and their effects on mental health. Studies were analyzed to identify common factors contributing to circadian misalignment in college students and effective treatments. Data from large-scale studies and specific clinical trials were utilized to understand the relationship between circadian rhythms and psychiatric disorders. Results: Disruptions in circadian rhythms were linked to increased prevalence of psychiatric disorders such as depression, anxiety, and bipolar disorder. Biological changes during adolescence, academic pressures, and extensive use of electronic devices were major contributing factors. Effective interventions included light therapy, chronotherapy, melatonin supplementation, and cognitive behavioral therapy for insomnia. Conclusion Stable circadian rhythms are crucial for mental health, particularly in college students who are vulnerable to disruptions due to lifestyle factors. Implementing interventions such as regular sleep schedules, light exposure management, and behavioral therapies can significantly improve mental health outcomes. Further research and targeted mental health programs are essential to address circadian misalignment and its associated psychiatric disorders in this population.

Objective: To investigate the impact of circadian rhythm disruptions on mental health among college students and explore effective interventions for maintaining stable circadian rhythms. Methods: A comprehensive review of literature was conducted, focusing on sleep patterns, circadian rhythms, and their effects on mental health. Studies were analyzed to identify common factors contributing to circadian misalignment in college students and effective treatments. Data from large-scale studies and specific clinical trials were utilized to understand the relationship between circadian rhythms and psychiatric disorders. Results: Disruptions in circadian rhythms were linked to increased prevalence of psychiatric disorders such as depression, anxiety, and bipolar disorder. Biological changes during adolescence, academic pressures, and extensive use of electronic devices were major contributing factors. Effective interventions included light therapy, chronotherapy, melatonin supplementation, and cognitive behavioral therapy for insomnia. Conclusion Stable circadian rhythms are crucial for mental health, particularly in college students who are vulnerable to disruptions due to lifestyle factors. Implementing interventions such as regular sleep schedules, light exposure management, and behavioral therapies can significantly improve mental health outcomes. Further research and targeted mental health programs are essential to address circadian misalignment and its associated psychiatric disorders in this population.

Background: and Purpose We delineated the association between otolithic dysfunction and blood pressure (BP) variability. Methods: We prospectively recruited 145 consecutive patients (age=71 [59–79] years, median [interquartile range]; 76 females) with orthostatic intolerance between December 2021 and December 2023 at a tertiary hospital in South Korea. Each patient underwent evaluations of cervical and ocular vestibular-evoked myogenic potentials (oVEMPs), 24-h noninvasive ambulatory BP monitoring (ABPM), and a head-up tilt-table test using the Finometer device. As measures of BP variability, the standard deviations (SDs) of the systolic BP (SBP SD) and the diastolic BP were calculated based on serial ABPM recordings. Patients were divided into those with orthostatic hypotension (OH, n=68) and those with a normal head-up tilt-table test despite orthostatic intolerance (NOI, n=77) groups. Results: A multivariable logistic regression analysis showed that OH was associated with bilateral oVEMP abnormalities (p=0.021), SBP SD (p=0.012), and female sex (p=0.004). SBP SD was higher in patients with OH than in those with NOI (p<0.001), and was not correlated with n1–p1 amplitude (p=0.491) or normalized p13–n23 amplitude (p=0.193) in patients with OH.The sensitivity and specificity for differentiating OH from NOI were 72.1% and 67.5%, respectively, at a cutoff value of 12.7 mm Hg for SBP SD, with an area under the receiver operating characteristic curve of 0.73. Conclusions Bilaterally deficient oVEMP responses may be associated with OH regardless of 24-h BP variability, reflecting the integrity of the otolith-autonomic reflex during orthostasis. Alternatively, 24-h BP variability is predominantly regulated by the baroreflex, which also participates in securing orthostatic tolerance complementary to the vestibulo-autonomic reflex.

Background/Aims: Despite short-acting β2-agonist (SABA) overuse being associated with poor asthma outcomes, data on SABA use in South Korea is scarce. Herein, we describe prescription patterns of SABA and other asthma medications in patients from the South Korean cohort of the SABA use IN Asthma (SABINA) III study. Methods: This study included patients with asthma aged ≥ 12 years, who had ≥ 3 consultations with the same healthcare provider, and medical records containing data for ≥ 12 months prior to the study visit. Patients were classified by investigator-defined asthma severity (per 2017 Global Initiative for Asthma recommendations) and practice type (primary or specialist care). Data on disease characteristics, asthma treatments, and clinical outcomes in the 12 months before the study visit were collected using electronic case report forms. Results: Data from 476 patients (mean age, 55.4 years; female, 63.0%) were analyzed. Most patients were treated by specialists (83.7%) and had moderate-to-severe asthma (91.0%). Overall, 7.6% of patients were prescribed ≥ 3 SABA canisters (defined as over-prescription). In patients prescribed SABA in addition to maintenance therapy, 47.4% were over-prescribed SABA. Most patients (95.4%) were prescribed a fixed-dose combination of an inhaled corticosteroid and a long-acting β2-agonist as maintenance therapy. Although asthma was well-controlled/partly-controlled in 91.6% of patients, 29.6% experienced ≥ 1 severe asthma exacerbation. Conclusions SABA over-prescription was reported in nearly 50% of patients prescribed SABA in addition to maintenance therapy, underscoring the need to align clinical practices with the latest evidence-based recommendations and educate physicians and patients on appropriate SABA use.

Background/Aims: Epidermal growth factor receptor (EGFR) mutation is important in determining the treatment strategy for advanced lung cancer patients with malignant pleural effusion (MPE). Contrary to serum carcinoembryonic antigen (S-CEA) levels, the associations between pleural fluid CEA (PF-CEA) levels and EGFR mutation status as well as between PF-CEA levels and treatment efficacy have rarely been investigated in lung adenocarcinoma patients with MPE. Methods: This retrospective study enrolled lung adenocarcinoma patients with MPE and available PF-CEA levels and EGFR mutation results. The patients were categorized based on PF-CEA levels: < 10 ng/mL, 10–100 ng/mL, 100–500 ng/mL, and ≥ 500 ng/mL. The association between PF-CEA levels and EGFR mutation status as well as their therapeutic impact on overall survival was compared among the four groups. Results: This study included 188 patients. PF-CEA level was found to be an independent predictor of EGFR mutation but not S-CEA level. The EGFR mutation rates were higher as the PF-CEA levels increased, regardless of cytology results or sample types. Among EGFR-mutant lung adenocarcinoma patients receiving EGFR-tyrosine kinase inhibitor (TKI) treatment, those with high PF-CEA levels had significantly better survival outcomes than those with low PF-CEA levels. Conclusion High PF-CEA levels were associated with high EGFR mutation rate and may lead to a favorable clinical outcome of EGFR-TKI treatment in EGFR-mutant lung adenocarcinoma patients with MPE. These findings highlight the importance of actively investigating EGFR mutation detection in patients with suspected MPE and elevated PF-CEA levels despite negative cytology results.

Objective: To investigate the impact of circadian rhythm disruptions on mental health among college students and explore effective interventions for maintaining stable circadian rhythms. Methods: A comprehensive review of literature was conducted, focusing on sleep patterns, circadian rhythms, and their effects on mental health. Studies were analyzed to identify common factors contributing to circadian misalignment in college students and effective treatments. Data from large-scale studies and specific clinical trials were utilized to understand the relationship between circadian rhythms and psychiatric disorders. Results: Disruptions in circadian rhythms were linked to increased prevalence of psychiatric disorders such as depression, anxiety, and bipolar disorder. Biological changes during adolescence, academic pressures, and extensive use of electronic devices were major contributing factors. Effective interventions included light therapy, chronotherapy, melatonin supplementation, and cognitive behavioral therapy for insomnia. Conclusion Stable circadian rhythms are crucial for mental health, particularly in college students who are vulnerable to disruptions due to lifestyle factors. Implementing interventions such as regular sleep schedules, light exposure management, and behavioral therapies can significantly improve mental health outcomes. Further research and targeted mental health programs are essential to address circadian misalignment and its associated psychiatric disorders in this population.