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Background Workplace violence (WPV) is a serious issue for healthcare workers and leads to many negative consequences. Several studies have reported on the prevalence of WPV in China, which ranges from 42.2 to 83.3%. However, little information is available regarding the correlates of WPV among healthcare workers and the differences across the different levels of hospitals in China. This study aimed to explore the correlates of WPV and career satisfaction among healthcare workers in China. Methods A self-designed WeChat-based questionnaire was used that included demographic and occupational factors. The Chinese version of the Workplace Violence Scale was used to measure WPV. Career satisfaction was assessed using two questions about career choices. Descriptive analyses, chi-square tests and multivariate logistic regressions were used. Results A total of 3706 participants (2750 nurses and 956 doctors) responded to the survey. Among the 3684 valid questionnaires, 2078 (56.4%) reported at least one type of WPV in the last year. Multivariate logistic regressions revealed that male sex, shift work, bachelor’s degree education, a senior professional title, working more than 50 h per week and working in secondary-level hospitals were risk factors associated with WPV. Healthcare workers who had experienced higher levels of WPV were less likely to be satisfied with their careers. Conclusions WPV remains a special concern for the Chinese healthcare system. Interventions to reduce WPV should be implemented by health authorities to create a zero-violence practice environment.

The observed global-warming rate has been nonuniform, and the cause of each episode of slowing in the expected warming rate is the subject of intense debate. To explain this, nonrecurrent events have commonly been invoked for each episode separately. After reviewing evidence in both the latest global data (HadCRUT4) and the longest instrumental record, Central England Temperature, a revised picture is emerging that gives a consistent attribution for each multidecadal episode of warming and cooling in recent history, and suggests that the anthropogenic global warming trends might have been overestimated by a factor of two in the second half of the 20th century. A recurrent multidecadal oscillation is found to extend to the preindustrial era in the 353-y Central England Temperature and is likely an internal variability related to the Atlantic Multidecadal Oscillation (AMO), possibly caused by the thermohaline circulation variability. The perspective of a long record helps in quantifying the contribution from internal variability, especially one with a period so long that it is often confused with secular trends in shorter records. Solar contribution is found to be minimal for the second half of the 20th century and less than 10% for the first half. The underlying net anthropogenic warming rate in the industrial era is found to have been steady since 1910 at 0.07–0.08 °C/decade, with superimposed AMO-related ups and downs that included the early 20th century warming, the cooling of the 1960s and 1970s, the accelerated warming of the 1980s and 1990s, and the recent slowing of the warming rates. Quantitatively, the recurrent multidecadal internal variability, often underestimated in attribution studies, accounts for 40% of the observed recent 50-y warming trend.

Major Depressive Disorder (MDD) is an affective disorder that can lead to persistent sadness and a decline in the quality of life, increasing the risk of suicide. Utilizing multimodal data such as electroencephalograms and patient interview audios can facilitate the timely detection of MDD. However, existing depression detection methods either consider only a single modality or do not fully account for the differences and similarities between modalities in multimodal approaches, potentially overlooking the latent information inherent in various modal data. To address these challenges, we propose EMO-GCN, a multimodal depression detection method based on an adaptive multi-graph neural network. By employing graph-based methods to model data from various modalities and extracting features from them, the potential correlations between modalities are uncovered. The model’s performance on the MODMA dataset is outstanding, achieving an accuracy (ACC) of 96.30%. Ablation studies further confirm the effectiveness of the model’s individual components.The experimental results of EMO-GCN demonstrate the application prospects of graph-based multimodal analysis in the field of mental health, offering new perspectives for future research.

Empirical research on the link between childhood maltreatment and coping styles in youths with depression remains scarce. This study explores the relationship between childhood maltreatment and coping styles in youths with major depressive disorder (MDD) and bipolar depression (BD). We recruited 277 youths with depression and 98 healthy controls (HC) using convenience sampling. Participants completed the Childhood Trauma Questionnaire-Short Form (CTQ-SF), the Connor-Davidson Resilience Scale (CD-RISC), the adapted Chinese version of the Barratt Impulsiveness Scale-11 (BIS-11), and the Simplified Coping Style Questionnaire (SCSQ). Differences between groups were assessed using ANOVA and Chi-square tests. The mediating roles of resilience and impulsivity between childhood maltreatment and coping style were analyzed with the PROCESS macro for SPSS. Among youths with depression, resilience and impulsivity were found to mediate the relationship between childhood maltreatment and coping style, with resilience accounting for 37.75% and impulsivity 17.72% of the total effect. Additionally, childhood maltreatment indirectly influenced coping style through resilience, which subsequently affected impulsivity, explaining 7.95% of the total effect. No direct effect of childhood maltreatment on coping style was observed in the BD group, and impulsivity did not mediate this relationship in the HC group. The study highlights that childhood maltreatment is directly related to coping styles in youths with depression and indirectly affects them through resilience and impulsivity. These findings suggest that improving resilience and managing impulsivity could enhance positive coping styles in this population.

To unmask the anthropogenic global warming trend imbedded in the climate data, multiple linear regression analysis is often employed to filter out short-term fluctuations caused by El Niño–Southern Oscillation (ENSO), volcano aerosols, and solar forcing. These fluctuations are unimportant as far as their impact on the deduced multidecadal anthropogenic trends is concerned: ENSO and volcano aerosols have very little multidecadal trend. Solar variations do have a secular trend, but it is very small and uncertain. What is important, but is left out of all multiple regression analysis of global warming so far, is a long-period oscillation called the Atlantic multidecadal oscillation (AMO). When the AMO index is included as a regressor (i.e., explanatory variable), the deduced multidecadal anthropogenic global warming trend is so impacted that previously deduced anthropogenic warming rates need to be substantially revised. The deduced net anthropogenic global warming trend has been remarkably steady and statistically significant for the past 100 yr.

Background There is still a lack of comprehensive research on the profile of patients in forensic mental health hospitals in China. This study aims to investigate the socio-demographic, clinical, and offense-related characteristics of mentally ill offenders in the Hunan Provincial Forensic Psychiatric Hospital in China. Methods This study was conducted from November 1, 2018, to January 30, 2019. The data of socio-demographic, clinical, and offense-related characteristics of the patients were collected. The Brief Psychiatric Rating Scale (BPRS), the Modified Overt Aggression Scale (MOAS), and the Clinical Global Impression-Severity (CGI-S) scale were used to measure their psychiatric conditions. Results A total of 461 participants were enrolled in this study. Among them, 86.3% were males and 56.8% were unmarried; the average age of them was 44.7 ± 10.1 years, and the mean years of education were 7.51 ± 3.3 years. Before their current offense, a total of 345 patients (74.8%) had sought medical help for their mental illnesses. While 303 (87.8%) of these patients were prescribed antipsychotics, 254 (73.6%) failed to take them regularly. Of all the inpatients, 90.5% were diagnosed with schizophrenia; 385 (83.5%) engaged in homicidal offenses, with 54.0% of the victims being their family members. In homicide cases, the relatives were more likely to be victims of female patients. The mean length of stay in the forensic hospital was 8.02 ± 4.74 years, and over 80.0% of the patients had been hospitalized for over 5 years. Conclusions To our knowledge, this is the first study investigating the profile of forensic patients receiving compulsory treatments in a forensic psychiatric hospital in China. These results add to the world literature on the characteristics of forensic patients and can help identify common treatment and risk-related needs of this population.

Background The Depression Anxiety Stress Scale-21 Items (DASS-21) is commonly used to assess the mental health of students, but there is a need for further clarification regarding its equivalence, structure, and core items. Methods We conducted a confirmatory factor analysis (CFA) on a sample of 7943 Chinese students to examine the performance of the DASS-21 and assess measurement invariance. Additionally, we utilized network analysis to investigate the structure and centrality of students’ mental health. Results Our findings revealed a stable three-factor structure for the DASS-21, characterized by high correlations among depression, anxiety, and stress. The DASS-21 demonstrated strict invariance across genders and weak invariance across levels of education. Network analysis indicated that symptoms of depression, anxiety, and stress form clusters, with some symptoms exhibiting strong correlations with each other. Conclusion Our study highlights a substantial interrelation among depression, anxiety, and stress, revealing a structurally clustered pattern. Network analysis underscores the interconnectedness and centrality of these symptoms, recommending a shorter version of the DASS, and emphasizing the imperative for targeted interventions aimed at improving the psychological well-being of students.

Suicide is a critical public health issue in adolescents worldwide. Internet addiction may play a role in the increased rate of suicide attempts in this population. However, few studies have explored the relationship between pathological internet use and suicide attempts among adolescents. This study aimed to conduct a prospective cohort study to examine whether higher severity of pathological internet use was associated with an increased risk of suicide attempts among Chinese adolescents. A total of 782 adolescents were recruited from a middle school from November 2020 to December 2020 and followed up for 6 months. An online self-reported questionnaire was used to collect the participants' demographic data and assess their mental health. The Depression, Anxiety, and Stress Scale-21 items (DASS-21) was used to evaluate depression, anxiety, and stress. The Chen Internet Addiction Scale-Revised (CIAS-R) was used to assess the symptoms and severity of pathological internet use. χ test and ANOVA were used for intergroup comparison, and logistic regression analysis was used to examine the relationship between the severity of pathological internet use and suicide attempts. We also used a restricted cubic splines model to investigate the pattern of the association. The participants had an average age of 12.59 (SD 0.64) years, with the majority being of Han ethnicity (743/782, 95.01%) and more than half being male (426/782, 54.48%). Most participants had no previous history of depression (541/782, 69.18%), anxiety (415/782, 53.07%), or stress (618/782, 79.03%). The rate of newly reported suicide attempts was 4.6% (36/782). A significant positive association was observed between internet addiction and suicide attempts (odds ratio 3.88, 95% CI 1.70-8.82), which remained significant after adjusting for age, sex, ethnicity, anxiety, depression, and stress (odds ratio 2.65, 95% CI 1.07-6.55). In addition, this association exhibited a linear pattern in the restricted cubic spline regression model. This study suggested that internet addiction, rather than internet overuse, was associated with a higher likelihood of suicide attempts, which highlighted the importance of addressing internet addiction symptoms among Chinese adolescents for suicide prevention.

Background Schizophrenia is a severe chronic mental disorder characterized by hallucinations, delusions, and disorganized speech and behavior. On the other hand, isovaleric acidemia (IVA) is a rare metabolic disorder characterized by the accumulation of isovaleric acid and its metabolic byproducts in the body. To date, there is a notable absence of clinical descriptions concerning the simultaneous occurrence of IVA and schizophrenia in the existing literature. Case presentation This report presents a clinical case involving the coexistence of IVA and Schizophrenia. A 25-year-old male patient diagnosed with comorbid IVA and schizophrenia was admitted to the psychiatric department due to worsening delusions and auditory hallucinations. Treatment with antipsychotics (clozapine 150 mg/day and blonanserin 24 mg/day) and metabolic agents (L-carnitine 3 g/day and reduced glutathione 1.2 g/day) reduced delusion severity, though delusions persisted, while auditory hallucinations resolved. Conclusions In this case description, the authors describe a rare clinical case in which the patient presents with IVA and schizophrenia. This case discusses the potential pathways through which IVA may precipitate the onset of schizophrenia.

Background Previous studies have demonstrated a strong association between depression and job burnout among healthcare professionals, but the results have been inconsistent, and there is a lack of in-depth exploration of such a relationship among different healthcare professions. The present study aims to investigate the interrelationships between depression and burnout among Chinese healthcare professionals and whether there are differences in the networks of these symptoms between doctors and nurses. Methods The Maslach Burnout Inventory-General Survey and the 2-item Patient Health Questionnaire were employed to assess job burnout and depression among 3,684 healthcare professionals. The translation has been refined to ensure accuracy and academic suitability. Subsequently, network analysis was conducted on 2,244 participants with a higher level of job burnout to identify core symptoms and explore the associations between job burnout and depression. Results The present study showed a network association between lack of interest and pleasure in things and being exhausted from work , excessive tiredness facing work , tendency to collapse at work , and lack of passion for work than before among healthcare professionals, as well as a notable difference in the network association between lack of interest and pleasure in things and lack of passion for work than before between nurses and doctors. Conclusions The depression-burnout network structures differ between doctors and nurses, highlighting the need for targeted intervention measures for both groups.