The COVID-19 pandemic has adversely affected the mental health of the global population. This study aimed to assess the acute and persistent symptoms of depression, as well as factors related to their manifestation, through a longitudinal study design. A total of 1,492 community-dwelling adults from an online public panel across three regions were evaluated at baseline, with 908 adults (60.9%) followed up after six months. Depression symptoms were evaluated using Patient Health Questionnaire-9 (PHQ-9). Participants also completed self-administered questionnaires on sociodemographic information, psychosocial experiences related to COVID-19, the UCLA Loneliness Scale, and the Korean version of the Gratitude Questionnaire (K-GQ-6).The prevalence of acute and persistent depression symptoms was 8.4% and 12.0%, respectively. Multivariate logistic regression analysis identified changes in predictors of depression over time, with younger age and self-isolation experience found to be associated with acute depression. Factors such as underlying mental illness, eating and sleeping disturbances, loneliness, and COVID-19-related stress emerged as significant risk factors for persistent depression. A disposition toward gratitude was identified as a protective factor for persistent depressive symptoms. These findings suggest that during any long-term pandemic crisis such as COVID-19, timely support and attention are essential for vulnerable populations, including young people and individuals with mental health conditions, to prevent depression. Specifically, promoting daily routines such as regular eating and sleeping patterns, and managing COVID-19-related stress may be critical in preventing persistent depression. Additionally, psychological support that reduces loneliness and fosters gratitude may help mitigate depression risk.

Objective: This study examined whether baseline levels of 14 serum biomarkers predicted antidepressant remission differently by sex at 12 weeks and 12 months. Methods: In a prospective cohort, 1,086 outpatients with depressive disorders received stepwise antidepressant treatment following a naturalistic protocol. Baseline serum samples were analyzed for biomarkers from six systems: immune (high-sensitivity C-reactive protein, tumor necrosis factor-alpha, interleukin-1 beta, interleukin-6, interleukin-4, interleukin-10), metabolic (leptin, ghrelin, total cholesterol), neurotrophic (brain-derived neurotrophic factor), neurotransmitter (serotonin), endocrine (cortisol), and nutritional (folate, homocysteine). Remission, defined as a Hamilton Depression Rating Scale scores ≤ 7, was assessed at 12 weeks and 12 months. Logistic regression models with biomarker-by-sex interaction and stratified analyses were used, adjusting for clinical covariates. Results: Higher baseline serotonin predicted 12-week remission in males but not in females. At 12 months, lower leptin and higher folate predicted remission only in males, while lower cortisol predicted remission only in females. These showed significant biomarker-sex interactions. No sex-specific interactions were found for immune markers. Conclusion Baseline serum biomarkers across biological systems showed sex-specific associations with treatment outcomes. Neurotransmitter, metabolic, endocrine, and nutritional markers may offer predictive value for sex-tailored, biomarker-informed treatment strategies in depression.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study investigated how educational levels modify the relationship between the standard deviation of NN intervals (SDNN) of heart rate variability and the development of post-traumatic stress disorder (PTSD). Methods: Participants with physical injuries were enrolled from a trauma center and monitored over two years. Initial assessments included SDNN and educational attainment, along with socio-demographic and clinical variables. PTSD diagnoses were made at 3, 6, 12, and 24 months post-injury using the Clinician-Administered PTSD Scale for DSM-5.Logistic regression analyses were conducted. Results: Of the 538 participants, 58 (10.8%) developed PTSD during the follow-up period. A significant interaction effect was observed: lower SDNN was significantly linked to PTSD in individuals with higher education, but not in those with lower education. Conclusion The study identified education-dependent associations between SDNN and PTSD development, emphasizing the importance of tailored PTSD prevention strategies that consider both SDNN and educational levels.

Objective: This study aimed to explore treatment outcomes and pharmacological treatment intensities across major depressive disorder (MDD) subtypes over a 24-month period in a naturalistic clinical setting. Methods: A total of 1,079 MDD patients were classified into melancholic (n = 182; 16.9%), atypical (n = 68; 6.3%), and unspecified (n = 829; 76.8%) subtypes and followed in a longitudinal cohort study. Treatment intensity and outcomes, including 12-week and 12-month remission and 24-month relapse rates, were measured using the Hamilton Depression Rating Scale. Results: There were no significant differences in remission or relapse rates across subtypes at 12 weeks, 12 months, or 24 months. However, melancholic and atypical subtypes received more intensive pharmacological treatments compared to the unspecified subtype, particularly during the initial 12-week treatment phase. This increased treatment intensity was associated with equivalent outcomes across subtypes. Conclusion Despite similar long-term outcomes across MDD subtypes, variations in treatment intensity were crucial for achieving these results. Our findings suggest that tailoring treatment plans according to depressive subtype severity and characteristics is essential for effective management. Future research should investigate the genetic and biomolecular bases of these subtypes to further optimize treatment strategies.

OBJECTIVE To analyze the chemical constituents from classical prescription Xiehuang San(XHS)standard decoc-tion by UPLC-Q-TOF-MS technology,and classify the chemical composition and analyze the representative components.METHODS Acquity HSS T3 column(2.1 mm×100 mm,1.8 μm)was used as the chromatographic column,with 0.1%formic acid solution-0.1%formic acid acetonitrile as the mobile phase for gradient elution.The volume flow rate was 0.4 mL·min-1 and the column tem-perature was 40℃.Mass spectrometry data of XHS were collected in positive and negative ion modes.The chemical constituents from classical prescription XHS were analyzed and identified by Masslynx 4.1 software comparison with reference materials,mass spectrome-try data analysis and reference to relevant literature.RESULTS A total of 107 compounds were analyzed and identified from XHS,including 45 flavonoids,27 triterpenoids,11 monoterpenoids,10 phenylpropanoids,6 chromogenic ketones,5 alkaloids and 3 other other compounds.CONCLUSION The study provides an experimental basis for the further research on the substance basis and qual-ity control of XHS.

Objective: Increased fast food consumption can have adverse effects on health and well-being among adolescents, posing a significant public health concern. The school closures due to the coronavirus disease-2019 (COVID-19) pandemic have led to changes in eating patterns and disrupted a balance diet among adolescents. This study explored the factors associated with fast food consumption among adolescents during school closures due to the COVID-19 pandemic. Methods: A total of 1,710 middle and high school students in Gwangju, South Korea participated in a cross-sectional survey. The self-administered questionnaire included items assessing dietary intake, physical activity, sleep, media use, and sociodemographic information. The Patient Health Questonnaire-9, Generalized Anxiety Disorder-7, and three item version of the UCLA Loneliness Scale were also administered. Multivariable logistic regression was used to examine the factors associated with increased fast food consumption. Results: Approximately 34.6% of the surveyed adolescents reported increased fast food consumption during school closures, as well as increased sleep duration, increased sedentary behaviors including watching TV and using the internet, and reduced physical activity. Multivariable logistic regression analysis revealed that fast food consumption during school closures was associated with irregular patterns of main meals and sleep, decreased physical activity, increased internet use, and a lack of daytime adult supervision. Conclusion Our results highlight the need for dietary and lifestyle monitoring and guidelines to promote health among adolescents, especially during school closures. In conclusion, nutrition intervention programs aiming to limit fast food consumption and enhance healthy dietary habits among adolescents during long-term school closures are warranted.

Objective: We aimed to identify the individual and interactive effects of childhood abuse and suicidal ideation on antidepressant treatment response in 12 months. Methods: In this prospective research, 1,262 depressive patients were asked about their childhood abuse history, suicidal ideation, and other clinical characteristics and socio-demographic features at baseline, and 1,015 of them were followed during 1 year of stepwise pharmacotherapy. The individual and interactive relationships of the childhood abuse history and suicidal ideation on 12-month antidepressant non-remission were explored by logistic regression with relevant covariates. Results: Having a childhood abuse history and higher suicidal ideation significantly predicted a non-remission state in 12 months respectively. The interaction term of childhood abuse and suicidal ideation was also significantly related to a non-remission state at 12 months. To be specific, in the low suicidal ideation group, depressive patients with a childhood abuse history were more likely to be in a non-remission state after 12 months of medication. In the high suicidal ideation group, however, childhood abuse history was not significantly associated with the non-remission state at 12 months. Conclusion The childhood abuse history and the level of suicidal ideation are informative factors predicting the long-term results of antidepressant treatment, especially when they are combined. Clinicians may consider antidepressants with a higher affinity for patients with childhood abuse history even if they don’t have suicidal ideation. The cognitive intervention for suicidal ideation might be helpful in addition to pharmacological treatment.