Inequality can increase the risk of poor mental health. Objective measures explain the effects of socioeconomic disparities, but individuals may perceive inequality differently.

We aimed to investigate the association between the perception of economic inequality and depressive symptoms and suicide ideation.

We used data from the Survey of Korean Youths’ Lives, a nationally representative cross-sectional study of 14 918 young adults aged 19−34 years in South Korea. Multivariate logistic regression analysis was conducted to assess the association between perceived economic inequalities (i.e. income inequality and inequality of intergenerational mobility) and depressive symptoms/suicide ideation. Additionally, subgroup analyses were performed based on objective and subjective income levels.

Young adults with a high perception of economic inequality were more likely to experience depressive symptoms and suicide ideation. For example, those with a high perception of intergenerational mobility inequality had higher odds of depressive symptoms (odds ratio 1.82, 95% CI 1.49, 2.23) and suicide ideation (odds ratio 1.87, 95% CI 1.35, 2.60). Statistical evidence showed no interaction between the perception of inequalities and income, suggesting that a high perception of inequalities is associated with depressive symptoms and suicidal ideation, regardless of income. Nevertheless, the strongest association with poor mental health was observed in those with high perceived inequality and low income.

This study shows that the way young adults perceive economic inequality could affect their depressive symptoms and suicidal ideation. The findings highlight the importance of reducing these perceptions and addressing economic inequalities to improve mental health.

The choroid plexus produces cerebrospinal fluid, which is crucial for glymphatic system function. Evidence suggests that changes in the volume of the choroid plexus may be associated with glymphatic system function. Therefore, this study aimed to investigate alterations in choroid plexus volume in patients with migraines compared with healthy controls.

We enrolled 59 patients with migraines (39 and 20 with episodic and chronic migraines, respectively) and 61 healthy controls. All participants underwent brain magnetic resonance imaging, including three-dimensional T1-weighted imaging. We analyzed and compared choroid plexus volumes between patients with episodic migraines, those with chronic migraines and healthy controls. Additionally, we evaluated the association between choroid plexus volume and the clinical characteristics of patients with migraine.

The choroid plexus volume in patients with chronic migraines was higher than that in healthy controls (2.018 vs. 1.698%, p = 0.002) and patients with episodic migraines (2.018 vs. 1.680%, p = 0.010). However, no differences were observed in choroid plexus volumes between patients with episodic migraine and healthy controls. Choroid plexus volume was positively correlated with age in patients with migraines (r = 0.301, p = 0.020) and in healthy controls (r = 0.382, p = 0.002).

We demonstrated significant enlargement of the choroid plexus in patients with chronic migraine compared with healthy controls and those with episodic migraine. This finding suggests that chronic migraine may be associated with glymphatic system dysfunction.

Resilience has been recently considered one of the possible mechanisms for the association between morningness–eveningness and depression. Meanwhile, anxiety is closely associated with mood disorder, but its association with morningness–eveningness is unclear. Therefore, this study aimed to explore the mediating effects of resilience and anxiety on morningness–eveningness and depression as the possible mechanisms.

This study included patient group and nonpatient group. Patient group consists of 743 patients with mood disorders [Major Depressive Disorder (MDD), 233; Bipolar Disorder I (BDI), 113; Bipolar Disorder II (BDII), 397] whereas nonpatient group consists of 818 individuals without mood disorder. The Composite Scale of Morningness, Connor–Davidson Resilience Scale, Self-Rating Depression Scale, and Beck Anxiety Inventory were used to evaluate morningness–eveningness, resilience, anxiety, and depression, respectively.

Our model provided a good fit for the data. The association between morningness–eveningness and depression symptoms was partially serially mediated by resilience and anxiety in both the patient and nonpatient groups. The patient group exhibited significantly stronger morningness–eveningness toward resilience and anxiety than the nonpatient group. In the indirect effect of morningness–eveningness on depression, group differences exist only through each mediation of resilience and anxiety, not through serial mediation.

Our results expand on the mechanism underlying the association between morningness–eveningness and depression. They highlight the importance of morningness–eveningness modification to increase resilience and the need to consider anxiety jointly in this process.

The menopause transition is a vulnerable period that can be associated with changes in mood and cognition. The present study aimed to investigate whether a symptomatic menopausal transition increases the risks of depression, anxiety, and sleep disorders.

This population-based, retrospective cohort study analysed data from five electronic health record databases in South Korea. Women aged 45–64 years with and without symptomatic menopausal transition were matched 1:1 using propensity-score matching. Subgroup analyses were conducted according to age and use of hormone replacement therapy (HRT). A primary analysis of 5-year follow-up data was conducted, and an intention-to-treat analysis was performed to identify different risk windows over 5 or 10 years. The primary outcome was first-time diagnosis of depression, anxiety, and sleep disorder. We used Cox proportional hazard models and a meta-analysis to calculate the summary hazard ratio (HR) estimates across the databases.

Propensity-score matching resulted in a sample of 17,098 women. Summary HRs for depression (2.10; 95% confidence interval [CI] 1.63–2.71), anxiety (1.64; 95% CI 1.01–2.66), and sleep disorders (1.47; 95% CI 1.16–1.88) were higher in the symptomatic menopausal transition group. In the subgroup analysis, the use of HRT was associated with an increased risk of depression (2.21; 95% CI 1.07–4.55) and sleep disorders (2.51; 95% CI 1.25–5.04) when compared with non-use of HRT.

Our findings suggest that women with symptomatic menopausal transition exhibit an increased risk of developing depression, anxiety, and sleep disorders. Therefore, women experiencing a symptomatic menopausal transition should be monitored closely so that interventions can be applied early.

Children are frequently exposed to unhealthy food marketing on digital media. This marketing contains features that often appeal to children, such as cartoons or bold colours. Additional factors can also shape whether marketing appeals to children. In this study, in order to assess the most important predictors of child appeal in digital food marketing, we used machine learning to examine how marketing techniques and children’s socio-demographic characteristics, weight, height, BMI, frequency of screen use and dietary intake influence whether marketing instances appeal to children.

We conducted a pilot study with thirty-nine children. Children were divided into thirteen groups, in which they evaluated whether food marketing instances appealed to them. Children’s agreement was measured using Fleiss’ kappa and the S score. Text, labels, objects and logos extracted from the ads were combined with children’s variables to build four machine-learning models to identify the most important predictors of child appeal.

Households in Calgary, Alberta, Canada.

39 children aged 6–12 years.

Agreement between children was low. The models indicated that the most important predictors of child appeal were the text and logos embedded in the food marketing instances. Other important predictors included children’s consumption of vegetables and soda, sex and weekly hours of television.

Text and logos embedded in the food marketing instances were the most important predictors of child appeal. The low agreement among children shows that the extent to which different marketing strategies appeal to children varies.

Predicting the course of depression is necessary for personalized treatment. Impaired glucose metabolism (IGM) was introduced as a promising depression biomarker, but no consensus was made. This study aimed to predict IGM at the time of depression diagnosis and examine the relationship between long-term prognosis and predicted results.

Clinical data were extracted from four electronic health records in South Korea. The study population included patients with depression, and the outcome was IGM within 1 year. One database was used to develop the model using three algorithms. External validation was performed using the best algorithm across the three databases. The area under the curve (AUC) was calculated to determine the model’s performance. Kaplan–Meier and Cox survival analyses of the risk of hospitalization for depression as the long-term outcome were performed. A meta-analysis of the long-term outcome was performed across the four databases.

A prediction model was developed using the data of 3,668 people, with an AUC of 0.781 with least absolute shrinkage and selection operator (LASSO) logistic regression. In the external validation, the AUCs were 0.643, 0.610, and 0.515. Through the predicted results, survival analysis and meta-analysis were performed; the hazard ratios of risk of hospitalization for depression in patients predicted to have IGM was 1.20 (95% confidence interval [CI] 1.02–1.41, p = 0.027) at a 3-year follow-up.

We developed prediction models for IGM occurrence within a year. The predicted results were related to the long-term prognosis of depression, presenting as a promising IGM biomarker related to the prognosis of depression.

There are growing concerns about the impact of the COVID-19 pandemic on the mental health of older adults. We examined the effect of the pandemic on the risk of depression in older adults.

We analyzed data from the prospective cohort study of Korean older adults, which has been followed every 2 years. Among the 2308 participants who completed both the third and the fourth follow-up assessments, 58.4% completed their fourth follow-up before the outbreak of COVID-19 and the rest completed it during the pandemic. We conducted face-to-face diagnostic interviews using Mini International Neuropsychiatric Interview and used Geriatric Depression Scale. We performed generalized estimating equations and logistic regression analyses.

The COVID-19 pandemic was associated with increased depressive symptoms in older adults [b (standard error) = 0.42 (0.20), p = 0.040] and a doubling of the risk for incident depressive disorder even in euthymic older adults without a history of depression (odds ratio = 2.44, 95% confidence interval 1.18–5.02, p = 0.016). Less social activities, which was associated with the risk of depressive disorder before the pandemic, was not associated with the risk of depressive disorder during the pandemic. However, less family gatherings, which was not associated with the risk of depressive disorder before the pandemic, was associated with the doubled risk of depressive disorder during the pandemic.

The COVID-19 pandemic significantly influences the risk of late-life depression in the community. Older adults with a lack of family gatherings may be particularly vulnerable.

Accurate prognostication is important for patients and their families to prepare for the end of life. Objective Prognostic Score (OPS) is an easy-to-use tool that does not require the clinicians’ prediction of survival (CPS), whereas Palliative Prognostic Score (PaP) needs CPS. Thus, inexperienced clinicians may hesitate to use PaP. We aimed to evaluate the accuracy of OPS compared with PaP in inpatients in palliative care units (PCUs) in three East Asian countries.

This study was a secondary analysis of a cross-cultural, multicenter cohort study. We enrolled inpatients with far-advanced cancer in PCUs in Japan, Korea, and Taiwan from 2017 to 2018. We calculated the area under the receiver operating characteristics (AUROC) curve to compare the accuracy of OPS and PaP.

A total of 1,628 inpatients in 33 PCUs in Japan and Korea were analyzed. OPS and PaP were calculated in 71.7% of the Japanese patients and 80.0% of the Korean patients. In Taiwan, PaP was calculated for 81.6% of the patients. The AUROC for 3-week survival was 0.74 for OPS in Japan, 0.68 for OPS in Korea, 0.80 for PaP in Japan, and 0.73 for PaP in Korea. The AUROC for 30-day survival was 0.70 for OPS in Japan, 0.71 for OPS in Korea, 0.79 for PaP in Japan, and 0.74 for PaP in Korea.

Both OPS and PaP showed good performance in Japan and Korea. Compared with PaP, OPS could be more useful for inexperienced physicians who hesitate to estimate CPS.

To investigate the feasibility of using an ultraviolet light-emitting diode (UV LED) robot for the terminal decontamination of coronavirus disease 2019 (COVID-19) patient rooms.

We assessed the presence of viral RNA in samples from environmental surfaces before and after UV LED irradiation in COVID-19 patient rooms after patient discharge.

We analyzed 216 environmental samples from 17 rooms: 2 from airborne infection isolation rooms (AIIRs) in the intensive care unit (ICU) and 15 from isolation rooms in the community treatment center (CTC). Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA was detected in 40 (18.5%) of 216 samples after patient discharge: 12 (33.3%) of 36 samples from AIIRs in the ICU, and 28 (15.6%) of 180 samples from isolation rooms in the CTC. In 1 AIIR, all samples were PCR negative after UV LED irradiation. In the CTC rooms, 14 (8.6%) of the 163 samples were PCR positive after UV LED irradiation. However, viable virus was not recovered from the culture of any of the PCR-positive samples.

Although no viable virus was recovered, SARS-CoV-2 RNA was detected on various environmental surfaces. The use of a UV LED disinfection robot was effective in spacious areas such as an ICU, but its effects varied in small spaces like CTC rooms. These findings suggest that the UV LED robot may need enough space to disinfect rooms without recontamination by machine wheels or insufficient disinfection by shadowing.

The aim of the study was to investigate the psychological factors influence the symptoms of gastroesophageal reflux disease (GERD) and their effect on quality of life in Korean Fire Fighters.

This study examined data collected from 1217 fire fighters. Depression and Anxiety were identified using the Patient health questionnaire-9(PHQ-9) and the 7-item Generalized Anxiety Disorder Scale. Occupational stress and Stress coping were identified using the KOSS-26 and the Ways of Coping Checklist-Revised. Self-esteem and quality of life were identified using the Rosenberg's Self-Esteem Scale and World Health Organization quality of life scale abbreviated version (WHOQOL-BREF). The scores for anxiety, depression and QoL of the two groups were analyzed. The correlation between psychological factors and QoL was also analyzed.

Current psychological variables were associated with increased odds of concurrent GERD-related symptoms. Current depression, anxiety and stress were associated with increased odds of GERD-related symptoms. According to the WHOQOL-BREF, depression, anxiety, stress, stress coping and self-esteem were significantly correlated with quality of life in patients with GERD. Quality of life was obviously affected by psychological variables in patients with GERD.

These results indicate that psychological symptomatology, depression, anxiety, occupational stress and self-esteem are associated with GERD-related symptoms. Acknowledging this common comorbidity may facilitate recognition and treatment, and opens new questions as to the pathways and mechanisms of the association.

The authors have not supplied their declaration of competing interest.