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OBJECTIVE: This study was performed to evaluate the efficacy and safety of lurasidone (160 mg/day) compared to quetiapine XR (QXR; 600 mg/day) in the treatment of acutely psychotic patients with schizophrenia. METHODS: Patients were randomly assigned to 6 weeks of double-blind treatment with lurasidone 160 mg/day (n=105) or QXR 600 mg/day (n=105). Primary efficacy measure was the change from baseline to week 6 in Positive and Negative Syndrome Scale (PANSS) total score and Clinical Global Impressions severity (CGI-S) score. Adverse events, body measurements, and laboratory parameters were assessed. RESULTS: Lurasidone demonstrated non-inferiority to QXR on the PANSS total score. Adjusted mean±standard error change at week 6 on the PANSS total score was -26.42±2.02 and -27.33±2.01 in the lurasidone and QXR group, respectively. The mean difference score was -0.91 (95% confidence interval -6.35-4.53). The lurasidone group showed a greater reduction in PANSS total and negative subscale on week 1 and a greater reduction in end-point CGI-S score compared to the QXR group. Body weight, body mass index, and waist circumference in the lurasidone group were reduced, with significantly lower mean change compared to QXR. Endpoint changes in glucose, cholesterol, triglycerides, and low-density lipoprotein levels were also significantly lower. The most common adverse drug reactions with lurasidone were akathisia and nausea. CONCLUSION: Lurasidone 160 mg/day was found to be non-inferior to QXR 600 mg/day in the treatment of schizophrenia with comparable efficacy and tolerability. Adverse effects of lurasidone were generally tolerable, and beneficial effects on metabolic parameters can be expected.
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Though categorized as separate illnesses, schizophrenia and autism are known to exhibit shared characteristics. This study explored the distinctions in clinical, cognitive, and functional characteristics among individuals with recent-onset psychosis, considering the severity of their autistic symptoms, involving longitudinal examinations. We analyzed 671 patients with recent-onset psychosis from Korean Early Psychosis Cohort Study (KEPS), and used the PANSS Autism Severity Score (PAUSS) to categorize patient into 'autistic', 'moderate', and 'non-autistic' groups. The autistic group had the highest rate of schizophrenia diagnosis, and the lowest incidence of comorbid psychiatric disorders. Schizophrenia diagnosis predicted membership of the autistic group. More severe autistic symptoms correlated with worse overall symptoms and functional outcomes, which significantly predicted membership of the autistic group. Cognitive impairments and emotional recognition difficulties increased with the severity of autistic symptoms. 2-year longitudinal assessments demonstrated that group differences in autistic features and overall symptoms, and functional outcomes remained consistent, and membership of the autistic group significantly predicted symptomatic remission and functional recovery. In conclusion, the presence of autistic symptoms has a significant impact on the overall symptomatology and functional capabilities. They are enduring attributes rather than temporary state variables, and serve as a significant predictor for both symptomatic and functional recovery.
Subject(s)
Psychotic Disorders , Humans , Male , Female , Longitudinal Studies , Psychotic Disorders/physiopathology , Psychotic Disorders/epidemiology , Young Adult , Adult , Autistic Disorder/physiopathology , Autistic Disorder/epidemiology , Schizophrenia/physiopathology , Schizophrenia/epidemiology , Psychiatric Status Rating Scales , Severity of Illness Index , Adolescent , Republic of Korea/epidemiology , Cognitive Dysfunction/etiology , Cognitive Dysfunction/physiopathology , ComorbidityABSTRACT
This study explored the positive effects of a six-week Social-Emotional and Ethical Learning® (SEE Learning) program on resilience and social and emotional competences, adapted for elementary students in Daegu, South Korea, a region strongly affected by the first outbreak of COVID-19. A total of 348 third- and fourth-grade students from 15 elementary schools participated, and the curriculum was tailored, emphasizing key areas such as resilience, attention, kindness, attention training, and compassion. Repeated measures analysis of variance (RMANOVA) tests showed statistically significant improvements between pre- and post-tests in resilience and its subscales, including self-efficacy, tolerance of negative affect, positive support relations, power of control, and spontaneity, as well as in social and emotional competencies, including emotional regulation, social skills, empathy, and social tendencies. Despite a lack of maintenance in all areas, at follow-up, the mean scores for self-efficacy, tolerance of negative affect, and positive support relations, as well as emotional regulation, social skills, empathy, and social tendency, remained higher than pre-test levels, suggesting some lasting benefits. The findings underscore the potential of the SEE Learning program integrated with resilience, mindfulness, compassion, and ethical practices to enhance students' resilience and social and emotional well-being. This study contributes to the growing body of evidence supporting the use of mindfulness and compassion-based SEL programs to mitigate the adverse effects of traumatic events on children's mental health.
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Introduction: This study aimed to determine trait- and state-dependent markers of schizophrenia by investigating facial emotion-recognition (FER) deficits in remitted patients with schizophrenia and their first-degree relatives (FR). Methods: Three groups were included: the Schizophrenia group (n=66), their unaffected FR group (n=40), and healthy controls (n=50) who were matched for age, sex, and years of education. A facial-labeling task was used to examine FER deficits using the following eight standardized expressions: happy, fearful, disgusted, angry, sad, contemptuous, surprised, and neutral. Results: There was a poorer accuracy in the recognition of sadness and anger in the Schizophrenia group as well as in contempt in both the Schizophrenia and FR groups compared with healthy controls. The response times for the recognition of contempt, sadness, and neutral emotion were delayed in the Schizophrenia group and those for fear were delayed in the Schizophrenia and FR groups compared with healthy controls. Conclusion: Concerning the accuracy in FER, sadness and anger can be considered state-dependent markers of remitted schizophrenia, and contempt is a trait-dependent marker of schizophrenia. Similarly, for response times in FER, contempt, sadness, and neutral emotion can be considered state-dependent markers of remitted schizophrenia, while fear is considered a trait-dependent marker of schizophrenia. These findings may contribute to the early diagnosis of schizophrenia and the development of relevant therapeutic interventions.
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Virtual reality (VR) technology can be a supporting tool to enhance mindfulness. Recently, many research using VR-based mindfulness (VBM) has been carried out in various psychiatric disorders but not in psychosis. We investigated safety and effects of virtual reality-based mindfulness (VBM) in patients with psychosis as a pilot study. Sixty-four patients were randomly assigned to VBM or to VR control. For VBM, education and meditation videos were provided. For VR control, 3-dimensional natural scenes were shown. Both programs consisted of 8 weekly sessions, each lasting about 30 min. Pre- and post-assessments were performed using the experiences questionnaire (EQ), psychotic symptom rating scales-delusion (PSYRATS-D), PSYRATS-auditory hallucinations (AH), motivation and pleasure scale-self rating (MAP-SR) and etc. The safety questionnaire was also surveyed after 1st and 8th session. Physiological measures such as skin conductance level (SCL), heart rate (HR) and RR interval, were collected during the VR interventions. Limited individuals participated in the safety questionnaire and physiological measures. All the results were presented in mean and standard deviation. We did not observe significant results in group x time interaction and main effects of group and time in the decentering and clinical scales. However, within group comparison showed that patients randomized to VBM showed increased decentering (p = 0.029) and decreased amount (p = 0.032) and duration of preoccupation (p = 0.016) in the PSYRATS-D. For the feelings and motivations about close caring relationships of the MAP-SR, we observed a significant group x time interaction (p = 0.027). The frequency of VR sickness was high but its severity was mild. There were significant differences only in HR over time in the VBM group (p = 0.01). These results suggest that VBM was not more effective in reducing decentering and psychiatric symptoms than VR control but its adversity was modest.
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PURPOSE: In February 2020, the first outbreak of coronavirus disease 2019 (COVID-19) occurred in Daegu, South Korea, and confirmed cases increased sharply, sparking intense anxiety among residents. This study analyzed the data of a mental health survey on students enrolled at a medical school located in Daegu in 2020. METHODS: An online survey was administered to 654 medical school students (pre-medical course: 220 students, medical course: 434 students) from August to October 2020, with 61.16% (n=400) valid responses. The questionnaire included items about COVID-19-related experiences, stress, stress resilience, anxiety, and depression. RESULTS: Of the survey participants, 15.5% had experienced unbearable stress, with the most significant stress factors (in descending order) being limited leisure activities, unusual experiences related to COVID-19, and limited social activities. Approximately 28.8% reported psychological distress, and their most experienced negative emotions were helplessness, depression, and anxiety (in descending order). The mean Beck Anxiety Inventory and Beck Depression Inventory-II scores were 2.44 and 6.08, respectively, both within normal ranges. Approximately 8.3% had mild or greater anxiety, and 15% had mild or greater depression. For students under psychological distress, the experience of unbearable stress before COVID-19 affected anxiety (odds ratio [OR], 0.198; p<0.05), and having an underlying condition affected depression (OR, 0.190; p<0.05). With respect to their psychological distress during August-October 2020 compared with that during February-March 2020 (2 months from the initial outbreak), anxiety stayed the same while depression increased and resilience decreased at a statistically significant level. CONCLUSION: It was found that some medical students were suffering from psychological difficulties related to COVID-19, and there were several risk factors for them. This finding suggests that medical schools need to not only develop academic management systems but also provide programs that can help students manage their mental health and emotions in preparation for an infectious disease pandemic.
Subject(s)
COVID-19 , Students, Medical , Humans , COVID-19/epidemiology , Mental Health , Students, Medical/psychology , Pandemics , SARS-CoV-2 , Depression/epidemiology , Depression/etiology , Depression/psychology , Stress, Psychological/epidemiology , Stress, Psychological/etiologyABSTRACT
Objective: This study investigated the effectiveness of switching to once-monthly long-acting injectable (LAI) aripiprazole from other second-generation antipsychotics including LAI paliperidone palmitate in both recent-onset and chronic schizophrenia patients. Methods: This was a 24-week prospective, open-label, flexible dose-switching study in patients with schizophrenia. Scores on the Positive and Negative Syndrome Scale (PANSS), Personal and Social Performance (PSP) scale, Clinical Global Impression (CGI), Subjective Well-being Under Neuroleptics-Short Form (SWN-K), and a computerized emotional recognition test (ERT) were evaluated. Subjects were divided into two groups (recent onset and chronic) based on 5 years' duration of the illness. Results: Among the 82 patients participating, 67 (81.7%) completed the 24-week study. The discontinuation rate after switching to LAI aripiprazole did not differ according to clinical characteristics including type of previous antipsychotics. Scores on the PANSS, PSP, SWN-K, CGI, and ERT were significantly improved after a switch to LAI aripiprazole without exacerbation of metabolic parameters and bodyweight. The improvements in the PANSS, PSP, and CGI scores were significantly greater in patients with recent-onset than in those with chronic schizophrenia; the improvement in metabolic parameters was significantly greater in the latter group. Conclusion: High rates of successful switching to LAI aripiprazole from other antipsychotics suggest its good tolerability and effectiveness. Improvements in psychopathology and social functioning were more evident in patients with recent- onset schizophrenia, and improvements in metabolic abnormalities were more prominent in patients with chronic schizophrenia.
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To promote recovery in psychosis, targeting modifiable factors related to recovery is critical. Using more strict definition of full recovery, we examined predictors for recovery in patients with early stage schizophrenia spectrum disorders (SSD) followed up to 6.5 years. The target subjects were 375 patients with early stage SSD who had been over at least 1-year after registration and evaluated. The criteria for full recovery were having the score of the Positive and Negative Syndrome Scale (PANSS) 8-item ≤ 2 and adequate functional recovery for at least 1-year. We performed univariate Cox and stepwise Cox regression in both total and acute patients. In stepwise Cox regression, several independent predictors for recovery, i.e., negative symptoms of the PANSS, duration of untreated psychosis (DUP) and non-professional job were identified in patients with early stage SSD. In acute patients, other factors such as professional job and subjective well-being under neuroleptics were more important. The present study identified independent predictors for recovery modifiable by various psychosocial intervention and early intervention services. Moreover, it highlights the need of providing different treatment strategies depending on clinical status.
Subject(s)
Antipsychotic Agents , Psychotic Disorders , Schizophrenia , Humans , Schizophrenia/diagnosis , Psychotic Disorders/psychology , Antipsychotic Agents/therapeutic use , Recovery of Function , Schizophrenic PsychologyABSTRACT
In the present study, various outcomes over 3-year period in patients with early stage psychosis including remission, recovery, relapse and medication adherence were investigated. Predictor for full recovery at year 3 was also examined. Three-year follow-up data in 534 patients with schizophrenia spectrum disorders (SSD) and psychotic disorder not otherwise specified (PNOS) were examined for overall outcome trajectories. The data of completers at year 3 (n = 157) were used to identify predictors for recovery using logistic regression. The rates of symptomatic remission and full recovery at 6-, 12-, 24-, and 36-month follow-up were 76.10, 69.20, 79.50, and 79.10%, and 22.80, 26.40, 28.60, and 39.60%, respectively. The rates of drop-out and relapse at 6-, 12-, 24-, and 36-month follow-up were 25.4, 29.5, 38.6, and 51.1%, and 3.7, 8.9, 19.0, and 38.9%, respectively. The rates of good adherence and prescription of Long-Acting Injectable Antipsychotics (LAIA) at 6-, 12-, 24- and 36-month follow-up were 87.8, 88.0, 91.9, and 93.9%, and 18.3, 21.7, 22.0, and 25.5%, respectively. Significant predictors for full recovery were duration of untreated psychosis (DUP), family intimacy and physical activity. We observed similar or better results on remission, recovery, and relapse rates compared to other previous studies. Effective psychosocial intervention should be provided to shorten the gap between remission and recovery rates and to address DUP, family issues, and exercise to enhance recovery.
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OBJECTIVE: Several previous studies have reported the negative psychological impact of the coronavirus disease (COVID-19) pandemic on medical students worldwide. This study investigated the sociodemographic and psychosocial factors associated with COVID-19-related post-traumatic stress disorder (PTSD) risk among medical students in Daegu, a region that experienced a high concentration of infections. METHODS: A total of 270 students completed the self-reported questionnaires including COVID-19 exposure, psychological measurement, and sociodemographic factors. We evaluated the COVID-19-related PTSD risk group using the Korean version of the Impact of Event Scale-Revised. Logistic regression analysis was performed to evaluate the odds ratio for the COVID-19-related PTSD risk group in sociodemographic and psychosocial factors. RESULTS: The prevalence of the COVID-19-related PTSD risk group was 10.4% in medical students. Among sociodemographic factors, lower grades (specially, first-year medical students) and current smokers were associated with the COVID-19-related PTSD risk. Indirect exposure to COVID-19 was also associated with this risk. Meanwhile, having higher resilience, self-esteem, and social support were less likely to be associated with COVID-19-related PTSD risk. CONCLUSION: This study suggested that it is necessary to develop a system for the screening and managing of COVID-19-related PTSD risk group among medical students, especially high-risk groups during the COVID-19 pandemic.
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Objectives: Dopamine receptor D2 gene (DRD2) and glucocorticoid receptor gene (NR3C1) are implicated in the development of psychosis. We investigated methylation levels of DRD2 and NR3C1 in peripheral blood of patients with recent-onset (RO) psychosis using bisulfite pyrosequencing as well as its association with childhood trauma and rumination. Methods: In all, 51 individuals with RO psychosis and 47 healthy controls were recruited. DNA methylation levels in the targeted regions of two genes were analyzed and compared. Childhood trauma and rumination were evaluated using the Early Trauma Inventory Self-Report Short Form (ETI-SF) and Brooding Scale (BS), respectively. Correlations between the scores of the ETI-SF and BS and methylation levels were explored. Results: For DRD2, we found no significant differences between groups in terms of methylation level or association with childhood trauma or rumination. For NR3C1, we found a trend level significance for average value of all CpG sites and significant hypermethylation or hypomethylation at specific sites. There was also a significant positive correlation between the methylation level at the CpG8 site of NR3C1 exon 1F and negative symptom subscale score of the PANSS (PANSS-N). Conclusion: Epigenetic alterations of NR3C1 are associated with the pathophysiology of psychosis. Further epigenetic studies will elucidate the molecular mechanisms underpinning the pathophysiology of psychosis.
Subject(s)
DNA Methylation , Psychotic Disorders , Receptors, Dopamine D2 , Receptors, Glucocorticoid , DNA Methylation/genetics , DNA Methylation/physiology , Epigenesis, Genetic , Humans , Psychotic Disorders/genetics , Psychotic Disorders/metabolism , Receptors, Dopamine D2/genetics , Receptors, Dopamine D2/metabolism , Receptors, Glucocorticoid/genetics , Receptors, Glucocorticoid/metabolismABSTRACT
OBJECTIVE: Comprehensive understanding of polyenvironmental risk factors for the development of psychosis is important. Based on a review of related evidence, we developed the Korea Polyenvironmental Risk Score (K-PERS) for psychosis. We investigated whether the K-PERS can differentiate patients with schizophrenia spectrum disorders (SSDs) from healthy controls (HCs). METHODS: We reviewed existing tools for measuring polyenvironmental risk factors for psychosis, including the Maudsley Environmental Risk Score (ERS), polyenviromic risk score (PERS), and Psychosis Polyrisk Score (PPS). Using odds ratios and relative risks for Western studies and the "population proportion" (PP) of risk factors for Korean data, we developed the K-PERS, and compared the scores thereon between patients with SSDs and HCs. In addition, correlation was performed between the K-PERS and Positive and Negative Syndrome Scale (PANSS). RESULTS: We first constructed the "K-PERS-I," comprising five factors based on the PPS, and then the "K-PERS-II" comprising six factors based on the ERS. The instruments accurately predicted participants' status (case vs. control). In addition, the K-PERS-I and -II scores exhibited significant negative correlations with the negative symptom factor score of the PANSS. CONCLUSION: The K-PERS is the first comprehensive tool developed based on PP data obtained from Korean studies that measures polyenvironmental risk factors for psychosis. Using pilot data, the K-PERS predicted patient status (SSD vs. HC). Further research is warranted to examine the relationship of K-PERS scores with clinical outcomes of psychosis and schizophrenia.
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AIM: Research on psychotic disorder not otherwise specified (PNOS) that clearly mentions its subgroups is very rare. This study was conducted to identify the demographic and clinical features, cognitive function, and 1-year outcomes of patients with early stage PNOS compared with those with early stage schizophrenia (SZ). METHODS: The study subjects were 54 and 321 patients with PNOS and SZ, respectively, who were registered at least more than 1 year ago. Due to drop out, only 37 and 210 patients with PNOS and SZ were evaluated at the 1-year follow-up. We compared clinical variables (duration of untreated psychosis, symptom severity, self-rating scales, and so on), cognitive function, and short-term outcomes (treatment response, remission, compliance, drop out, relapse) between the two groups. RESULTS: The patients with PNOS were associated with higher diagnostic stability (53.7%) compared with those in previous studies. They had lower symptom severity, better treatment response at 2 months and higher remission rates at 12 months, but poorer compliance at 6 months compared with patients with SZ. Level of cognitive impairment in PNOS was intermediate between those of SZ patients and healthy controls. CONCLUSIONS: These findings indicate that PNOS has unique clinical features, suggesting that it should be treated as a distinct clinical syndrome. At the same time, however, prevention of its possible progression to other psychotic disorders in some patients with PNOS is also important.
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Bipolar Disorder , Psychotic Disorders , Schizophrenia , Humans , Schizophrenia/diagnosis , Bipolar Disorder/diagnosis , Psychotic Disorders/psychology , Cognition/physiologyABSTRACT
The classic subtype classification of schizophrenia has been removed, and DSM-5 now includes the Clinician-Rated Dimensions of Psychosis Symptom Severity (CRDPSS). In the present study, a factor analysis of the CRDPSS was performed, and we assessed whether patient classification using the derived factor structure helps predict the clinical course. The participants were 390 patients with recent-onset psychosis enrolled in the Korean Early Psychosis Cohort Study (KEPS). Two factors were identified: psychotic (including delusions, hallucinations, disorganization, and abnormal psychomotor behavior) and negative-cognitive (including negative symptoms and impaired cognition). Patients were grouped based on the factor structure and changes in clinical course were monitored over 1 year. The negative-cognitive group demonstrated longer duration of untreated psychosis, earlier onset, and a higher rate of psychiatric comorbidities. Baseline Positive and Negative Syndrome Scale (PANSS) total and Clinical Global Impression-Severity (CGI-S) scores were higher in psychotic group, but group differences were not observed after 2 months. Conversely, the PANSS negative scale score was significantly higher in negative-cognitive group throughout follow-up, and CGI-S score was reversed at 12 months. The findings indicate that the factor structure derived herein for the CRDPSS could be helpful for predicting the clinical course of recent-onset psychosis patients.
Subject(s)
Psychotic Disorders , Schizophrenia , Cohort Studies , Follow-Up Studies , Humans , Prospective Studies , Psychiatric Status Rating Scales , Psychotic Disorders/diagnosis , Psychotic Disorders/drug therapy , Schizophrenia/complications , Schizophrenia/diagnosisABSTRACT
OBJECTIVE: This study aims to investigate the prevalence of the addictive use of the internet, smartphone, and alcohol in medical students, the association of this addictive use with stress, and the mediating roles of resilience and self-esteem in this association. METHODS: A total of 866 medical students completed measures of three addictive uses as well as psychological scales for stress, resilience, and self-esteem. Correlation analyses and parallel mediation analysis were carried out. RESULTS: The prevalence of potential-risk and high-risk users was 5.8% and 1.7% for internet use, 5.4% and 2.2% for smartphone use, 22.6% and 5.3% for alcohol use, respectively. All three addictive behaviors tended to increase in terms of prevalence or mean score according to an increase in a students' grade. Stress was positively correlated with internet use (r=0.324, p<0.001) and smartphone use (r=0.347, p<0.001). Resilience and self-esteem were found to be mediators in the association between stress and internet use or smartphone use. CONCLUSION: These findings suggest that addictions in medical students are as prevalent as in a general population and that internet use and smartphone use may be better explained by a stress-addiction model with resilience and self-esteem as mediators than alcohol use.
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BACKGROUND: Network approach has been applied to a wide variety of psychiatric disorders. The aim of the present study was to identify network structures of remitters and non-remitters in patients with first-episode psychosis (FEP) at baseline and the 6-month follow-up. METHODS: Participants (n = 252) from the Korean Early Psychosis Study (KEPS) were enrolled. They were classified as remitters or non-remitters using Andreasen's criteria. We estimated network structure with 10 symptoms (three symptoms from the Positive and Negative Syndrome Scale, one depressive symptom, and six symptoms related to schema and rumination) as nodes using a Gaussian graphical model. Global and local network metrics were compared within and between the networks over time. RESULTS: Global network metrics did not differ between the remitters and non-remitters at baseline or 6 months. However, the network structure and nodal strengths associated with positive-self and positive-others scores changed significantly in the remitters over time. Unique central symptoms for remitters and non-remitters were cognitive brooding and negative-self, respectively. The correlation stability coefficients for nodal strength were within the acceptable range. CONCLUSION: Our findings indicate that network structure and some nodal strengths were more flexible in remitters. Negative-self could be an important target for therapeutic intervention.
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Psychotic Disorders , Humans , Psychotic Disorders/psychology , Psychiatric Status Rating ScalesABSTRACT
Chronic allergic inflammatory skin disease-atopic dermatitis (AD)-is characterized by eczema, pruritus, xeroderma, and lichenification. Psychological stress is one cause of this disease; however, psychological stress will also result from the presence of AD symptoms. Previous studies have shown that psychological stress triggers neuroinflammation in the brain, where microRNAs (miRNAs) in the neuronal exosomes (nEVs) were analyzed to identify the composition of the miRNAs in the nEVs and how they were altered by AD. In this study, the AD model was induced by treatment with 2,4-dinitrochlorobenzene (DNCB). The expression patterns of neuroinflammation markers, such as brain-derived neurotrophic factor, cyclooxygenase-2, and glial fibrillary acidic protein, were subsequently evaluated over time. Among these groups, there was a significant difference in DNCB 14 days expression compared with the control; therefore, nEVs were isolated from serum and next-generation sequencing was performed. The results demonstrate that 9 miRNAs were upregulated and 16 were downregulated in the DNCB 14 days compared with the control. Previous studies have shown that some of these miRNAs are associated with stress and stress-induced depression, which suggests that the miRNAs in nEVs may also be stress-related biomarkers.
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BACKGROUND: In February 2020, as coronavirus disease 2019 (COVID-19) spread rapidly in Daegu, South Korea, students in that region experienced many emotional difficulties. In this study, we analyzed the stress and emotional crisis experienced by students during the COVID-19 pandemic, its causative factors, and the factors that affect negative emotions. METHODS: We identified the demographic information related to the experiences of unbearable stress and emotional crisis and their causal factors at three points in time: before the pandemic, during its peak, and at the time of the survey (2-3 months after the peak). In addition, we analyzed the factors related to depression and anxiety experienced by students during the COVID-19 pandemic. The Korean version of the Patient Health Questionnaire 9 and the Korean version of the Generalized Anxiety Disorder 7 was used to assess for depressive and anxiety symptoms in the subject students, respectively. RESULTS: A total of 8,177 students participated in the analysis, with 4,072 boys (49.8%), 4,105 girls (50.2%), and 4,463 middle school students (54.6%) and 3,177 high school students (45.4%). The percentage of students who experienced unbearable stress was 9% before the COVID-19 pandemic, increased to 16% at the peak of the COVID-19 pandemic, then decreased to 12.7% at the time of the survey. Stress was experienced more by girls (18.1% versus 13.8% in boys; χ² = 28.159, P < 0.001) and high school students (19.0% versus 13.5% in middle school students; χ² = 45.437, P < 0.001). Overall, 7.6% experienced emotional crises during the COVID-19 pandemic, which was more prevalent in girls (10.1% versus 5.2% in boys; χ² = 71.025, P < 0.001) and in high school students (8.8% versus 6.7% in middle school students; χ² = 12.996, P < 0.001). Depression and anxiety was seen in 19.8% and 12.3% of students during the COVID-19 pandemic, respectively. The risk factors for depression and anxiety included unbearable stress before the COVID-19 pandemic (P < 0.001), mental health (P = 0.044), and age (P = 0.040), whereas resilience was identified as a protective factor for depression and anxiety (P = 0.001). CONCLUSION: Students in Daegu experienced lots of mental difficulties since the COVID-19 pandemic. It will be necessary to improve stress management and resilience to improve students' mental health in disasters such as the COVID-19 pandemic.
Subject(s)
Affective Symptoms/epidemiology , COVID-19/epidemiology , Mental Health , SARS-CoV-2 , Stress, Psychological/epidemiology , Adolescent , Anxiety/epidemiology , Anxiety/etiology , Child , Depression/epidemiology , Depression/etiology , Female , Humans , Male , Republic of Korea/epidemiology , Retrospective Studies , StudentsABSTRACT
Childhood trauma (ChT) is a risk factor for psychosis. Negative lifestyle factors such as rumination, negative schemas, and poor diet and exercise are common in psychosis. The present study aimed to perform a network analysis of interactions between ChT and negative lifestyle in patients and controls. We used data of patients with early-stage psychosis (n = 500) and healthy controls (n = 202). Networks were constructed using 12 nodes from five scales: the Brief Core Schema Scale (BCSS), Brooding Scale (BS), Dietary Habits Questionnaire, Physical Activity Rating, and Early Trauma Inventory Self Report-Short Form (ETI). Graph metrics were calculated. The nodes with the highest predictability and expected influence in both patients and controls were cognitive and emotional components of the BS and emotional abuse of the ETI. The emotional abuse was a mediator in the shortest pathway connecting the ETI and negative lifestyle for both groups. The negative others and negative self of the BCSS mediated emotional abuse to other BCSS or BS for patients and controls, respectively. Our findings suggest that rumination and emotional abuse were central symptoms in both groups and that negative others and negative self played important mediating roles for patients and controls, respectively.Trial Registration: ClinicalTrials.gov identifier: CUH201411002.
Subject(s)
Neural Networks, Computer , Psychotic Disorders/complications , Self Report , Wounds and Injuries/pathology , Adult , Cross-Sectional Studies , Female , Humans , Longitudinal Studies , Male , Middle Aged , Psychiatric Status Rating Scales , Psychotic Disorders/psychology , Risk Factors , Surveys and Questionnaires , Wounds and Injuries/etiology , Wounds and Injuries/psychology , Young AdultABSTRACT
Stress is the physical and psychological tension felt by an individual while adapting to difficult situations. Stress is known to alter the expression of stress hormones and cause neuroinflammation in the brain. In this study, miRNAs in serum-derived neuronal exosomes (nEVs) were analyzed to determine whether differentially expressed miRNAs could be used as biomarkers of acute stress. Specifically, acute severe stress was induced in Sprague-Dawley rats via electric foot-shock treatment. In this acute severe-stress model, time-dependent changes in the expression levels of stress hormones and neuroinflammation-related markers were analyzed. In addition, nEVs were isolated from the serum of control mice and stressed mice at various time points to determine when brain damage was most prominent; this was found to be 7 days after foot shock. Next-generation sequencing was performed to compare neuronal exosomal miRNA at day 7 with the neuronal exosomal miRNA of the control group. From this analysis, 13 upregulated and 11 downregulated miRNAs were detected. These results show that specific miRNAs are differentially expressed in nEVs from an acute severe-stress animal model. Thus, this study provides novel insights into potential stress-related biomarkers.