Development and validation of a nomogram for predicting high-burnout risk in nurses.

AIM: To develop a predictive model for high-burnout of nurses. DESIGN: A cross-sectional study. METHODS: This study was conducted using an online survey. Data were collected by the Chinese Maslach Burnout Inventory-General Survey (CMBI-GS) and self-administered questionnaires that included demographic, behavioural, health-related, and occupational variables. Participants were randomly divided into a development set and a validation set. In the development set, multivariate logistic regression analysis was conducted to identify factors associated with high-burnout risk, and a nomogram was constructed based on significant contributing factors. The discrimination, calibration, and clinical practicability of the nomogram were evaluated in both the development and validation sets using receiver operating characteristic (ROC) curve analysis, Hosmer-Lemeshow test, and decision curve analysis, respectively. Data analysis was performed using Stata 16.0 software. RESULTS: A total of 2750 nurses from 23 provinces of mainland China responded, with 1925 participants (70%) in a development set and 825 participants (30%) in a validation set. Workplace violence, shift work, working time per week, depression, stress, self-reported health, and drinking were significant contributors to high-burnout risk and a nomogram was developed using these factors. The ROC curve analysis demonstrated that the area under the curve of the model was 0.808 in the development set and 0.790 in the validation set. The nomogram demonstrated a high net benefit in the clinical decision curve in both sets. CONCLUSION: This study has developed and validated a predictive nomogram for identifying high-burnout in nurses. RELEVANCE TO CLINICAL PRACTICE: The nomogram conducted by our study will assist nursing managers in identifying at-high-risk nurses and understanding related factors, helping them implement interventions early and purposefully. REPORTING METHOD: The study adhered to the relevant EQUATOR reporting guidelines: TRIPOD Checklist for Prediction Model Development and Validation. PATIENT OR PUBLIC CONTRIBUTION: No patient or public contribution.

Risk factors and consequences of mental health problems in nurses: A scoping review of cohort studies.

Mental health problems in nurses are prevalent and impairing. To date, no literature has comprehensively synthesised cohort evidence on mental health among nurses. This scoping review aimed to synthesise the existing literature on the risk factors and consequences of mental health problems in nurses. A systematic search was conducted on PubMed, EMBASE, Epistemonikos database, Web of Science, CINAHL, and PsycINFO from inception to March 2023. We identified 171 cohort studies from 16 countries, mostly (95.3%) from high-income economies. This review indicated that nurses worldwide encountered significant mental health challenges, including depression, cognitive impairment, anxiety, trauma/post-traumatic stress disorder, burnout, sleep disorder, and other negative mental health problems. These problems were closely related to various modifiable risk factors such as nurses' behaviours and lifestyles, social support, workplace bullying and violence, shift work, job demands, and job resources. Moreover, nurses' mental health problems have negative effects on their physical health, behaviour and lifestyle, occupation and organisation, and intrapersonal factors. These findings provided an enhanced understanding of mental health complexities among nurses, and shed light on policy enactment to alleviate the negative impact of mental health problems on nurses. Addressing mental health among nurses should be a top priority.

Abnormal energy metabolism, oxidative stress, and polyunsaturated fatty acid metabolism in depressed adolescents associated with childhood maltreatment: A targeted metabolite analysis.

The purpose of this study was to explore the metabolomic differences between Major depressive disorder (MDD) and healthy individuals among adolescents and the association between childhood maltreatment (CM) and differentially abundant metabolites. The exploratory study included 40 first-episode drug-naïve adolescents with MDD and 20 healthy volunteers. We used the Beck Depression Inventory (BDI-13) to assess the severity of depression and the Childhood Trauma Questionnaire (CTQ) to assess the presence of childhood maltreatment. The plasma samples from all participants were collected for targeted metabolomics analysis using ultra-performance liquid chromatography coupled with tandem mass spectrometry (UPLC‒MS/MS) methods. Spearman correlation was applied to analyse the correlations between clinical variables and metabolites. We found 11 increased metabolites and 37 decreased metabolites that differed between adolescents with MDD and healthy individuals. Pathway enrichment analysis of differentially abundant metabolites showed abnormalities in energy metabolism and oxidative stress in MDD. Importantly, we found that creatine, valine, isoleucine, glutamic acid and pyroglutamic acid were negatively correlated with the BDI-13, while isocitric acid, fatty acid and acylcarnitine were negatively associated with CTQ, and 4-hydroxyproline was positively related to CTQ in adolescents with MDD. These studies provide new ideas for the pathogenesis and potential treatment of adolescents with MDD.

Ethical climate, moral resilience, and ethical competence of head nurses.

BACKGROUND: The ethical competence of head nurses plays a pivotal role in nursing ethics. Ethical climate is a prerequisite for ethical competence, and moral resilience can positively influence an individual's ethical competence. However, few studies have focused on the relationship between ethical climate, moral resilience, and ethical competence among them. OBJECTIVES: To investigate the relationship between ethical climate, moral resilience, and ethical competence, and examine the mediating role of moral resilience between ethical climate and ethical competence among head nurses. DESIGN: A quantitative, cross-sectional study. METHODS: A total of 309 Chinese head nurses completed an online survey, including ethical climate questionnaire, Rushton moral resilience scale, and ethical competence questionnaire. Inferential statistical analysis includes Pearson's correlation and a structural equation model. ETHICAL CONSIDERATIONS: This study received ethical approval from the Institutional Review Board of Xiangya Nursing School of Central South University (No. E2023146). RESULTS: Head nurses' ethical climate score positively impacted ethical competence (r = 0.208, p < .001), and ethical climate could affect ethical competence through the mediating role of moral resilience. CONCLUSION: This study emphasized the value of ethical climate in moral resilience of head nurses, ultimately leading to an enhancement in their ethical competence.

Resting-state EEG dynamic functional connectivity distinguishes non-psychotic major depression, psychotic major depression and schizophrenia.

This study aims to identify dynamic patterns within the spatiotemporal feature space that are specific to nonpsychotic major depression (NPMD), psychotic major depression (PMD), and schizophrenia (SCZ). The study also evaluates the effectiveness of machine learning algorithms based on these network manifestations in differentiating individuals with NPMD, PMD, and SCZ. A total of 579 participants were recruited, including 152 patients with NPMD, 45 patients with PMD, 185 patients with SCZ, and 197 healthy controls (HCs). A dynamic functional connectivity (DFC) approach was employed to estimate the principal FC states within each diagnostic group. Incremental proportions of data (ranging from 10% to 100%) within each diagnostic group were used for variability testing. DFC metrics, such as proportion, mean duration, and transition number, were examined among the four diagnostic groups to identify disease-related neural activity patterns. These patterns were then used to train a two-layer classifier for the four groups (HC, NPMD, PMD, and SCZ). The four principal brain states (i.e., states 1,2,3, and 4) identified by the DFC approach were highly representative within and across diagnostic groups. Between-group comparisons revealed significant differences in network metrics of state 2 and state 3, within delta, theta, and gamma frequency bands, between healthy individuals and patients in each diagnostic group (p < 0.01, FDR corrected). Moreover, the identified key dynamic network metrics achieved an accuracy of 73.1 ± 2.8% in the four-way classification of HC, NPMD, PMD, and SCZ, outperforming the static functional connectivity (SFC) approach (p < 0.001). These findings suggest that the proposed DFC approach can identify dynamic network biomarkers at the single-subject level. These biomarkers have the potential to accurately differentiate individual subjects among various diagnostic groups of psychiatric disorders or healthy controls. This work may contribute to the development of a valuable EEG-based diagnostic tool with enhanced accuracy and assistive capabilities.

Altered HCAR3 expression may underlying the blunted niacin responses of the psychiatric disorders and the risk of schizophrenia.

AIM: Blunted niacin response (BNR) was an endophenotype of schizophrenia, but the underlying mechanism remains unclarified. The objective of this study was to verify whether genes associated with BNR pathway constitute the genetic basis and the pathological mechanism of BNR phenotypic psychiatric patients. METHODS: Two independent sample sets consisting of 971 subjects were enrolled in this study. A total of 62 variants were genotyped in the discovery set, then the related variants were verified in the verification set. The published PGC GWAS data were used to validate the associations between the variants and psychiatry disorders. RT-PCR analysis, eQTL data, and Dual-Luciferase Reporter experiment were used to investigate the potential molecular mechanisms of the variants underlying BNR. RESULTS: The results showed that two SNPs, rs56959712 in HCAR2 and rs2454721 in HCAR3 were significantly associated with niacin response. The risk allele T of rs2454721 could affect the niacin responses of psychiatric patients through elevated HCAR3 gene expression. These two genes, especially HCAR3, were significantly associated with the risk of schizophrenia, as identified in this study and verified using the published GWAS data. CONCLUSION: HCAR3 is a novel schizophrenia susceptibility gene which is significantly associated with blunted niacin response in schizophrenia. In-depth investigation of HCAR3 is of great significance for uncovering the pathogenesis and propose new therapeutic targets for psychiatric disorders, especially for the BNR subgroup patients.

Challenges for psychiatric nurses working with non-suicidal self-injury adolescents: a qualitative study.

BACKGROUND: Psychiatric nurses play a crucial role in treating and supporting adolescents with non-suicidal self-injury (NSSI) in China. However, few studies have explored their experiences and challenges. OBJECTIVES: The aim of this qualitative study was to describe the challenges experienced by psychiatric nurses when working with adolescents having NSSI behaviors. METHODS: This was a descriptive qualitative study using phenomenological approach. 18 psychiatric nurses from psychiatric wards were recruited from a tertiary hospital from Changsha, Hunan province, China. In-depth interview was performed for each participant collecting information about their feelings and experiences taking care of NSSI adolescents. ATLAS.ti 8 was used to enter data and perform thematic analysis following the six-phased process described by Braun and Clarke. RESULTS: Two main themes and five sub-themes were summarized in this study. Nurses experienced both (1) Internal challenges (Lacking knowledge and skills to deal with NSSI adolescents and Feeling hard and stressful working with NSSI adolescents) and (2) External barriers (Unrealistic high expectations from family and schools, Uncooperative parents and Little help from communities and schools). CONCLUSIONS: Psychiatric nurses had to face with their own negative feelings, insufficient knowledge and skills, alongside with pressures and little help from family, schools and communities when working with NSSI adolescents. Targeted training programs of treating NSSI adolescents and their supporting systems be performed in nurses, furthermore, family, schools and societies should also be raised.

Mapping Violent Behaviors and Psychiatric Symptoms Among Male Psychiatric Inpatients from a Network Perspective.

Psychiatric symptoms are common risk factors of violent behaviors among psychiatric patients. This study explored the interrelationship between violence and psychiatric symptoms in male psychiatric inpatients. This is a cross-sectional survey conducted in 2019. All patients admitted to the Male Psychiatry Unit of the Second Xiangya Hospital were consecutively recruited. The presence of five violent behaviors and eleven psychiatric symptoms were collected by reviewing medical records and were included as categorical variable in the network analyses. A total of 673 participants were included. The most central symptoms were "flight of ideas", "property-oriented violence", "emotional high", "verbal violence", "physical violence attempt", and "physical violence" in the network of psychiatric symptoms and violent behaviors. The bridge symptoms connecting violence and psychiatric symptoms were "verbal violence", "property-oriented violence", "hyperbulia", and "emotional high" according to the indices of bridge expected influence. The directed acyclic graph analysis revealed that "emotional high" and "hyperbulia" were the key psychiatric symptoms triggering violence, while "verbal violence" and "property-oriented violence" were the most upstream violent behavior. Verbal and property-oriented violence should be addressed in the risk assessment among male psychiatric inpatients. In addition, emotional high and hyperbulia are the potential treatment targets for violent behaviors.

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OBJECTIVES: Health workers are at risk of workplace violence, which can seriously affects their mental health and work status. This study aims to explore the mediating role of depression between workplace violence and job burnout among healthcare workers. METHODS: From January 10 to February 5, 2019, a questionnaire was distributed to frontline healthcare workers through the wenjuanxing platform using convenient sampling (snowball sampling). The questionnaire included the Chinese version of the Workplace Violence Scale, Maslach Burnout Inventory, and Patient Health Questionnaires (PHQ-2). Descriptive statistics, correlation analysis, and mediation model tests were conducted on the cross-sectional data collection. RESULTS: The study included 3 684 participants, with (31.63±7.69) years old. Among them 2 079(56.43%) were experienced workplace violence, 687(18.65%) were screened positive for depression, and 2 247(60.99%) were experienced high levels of occupational burnout. Correlation analysis showed positive association between workplace violence and depression, workplace violence and occupational burnout, depression and occupational burnout (r=0.135, r=0.107, r=0.335, respectively, all P<0.001). After controlling for covariates, workplace violence had an indirect effect on occupational burnout through depression, with a standardized coefficient of 0.25 (SE=0.02, 95% CI 0.21 to 0.28), accounting for 13.87% of the total effect. CONCLUSIONS: The study highlights the close relationship between workplace violence, depression, and occupational burnout among healthcare workers, with depression acting as a mediator between workplace violence and occupational burnout. This study suggests that it is necessary to improve the communication skills of healthcare workers, increase the installation of security systems and emergency plans, use new media platforms to convey positive energy between doctors and patients, and open channels for medical consultation and complaints. It is also necessary to provide guidance for healthcare workers' depressive emotions. Addressing depression among health care workers will help reduce the harm caused by workplace violence, protect the physical and mental health of healthcare workers, and reduce work burnout.

Protocol of a prospective community-based study about the onset and course of depression in a nationally representative cohort of adults in China: the China Depression Cohort Study-I.

BACKGROUND: Depression is the second most important cause of disability worldwide. Reducing this major burden on global health requires a better understanding of the etiology, risk factors, and course of the disorder. With the goal of improving the prevention, recognition, and appropriate management of depressive disorders in China, the China Depression Cohort Study will establish a nationally representative sample of at least 85,000 adults (the China Depression Cohort Study-I) and 15,000 middle school students (the China Depression Cohort Study-II) and follow them over time to identify factors that influence the onset, characteristics, and course of depressive disorders. This protocol describes the China Depression Cohort Study-I. METHODS: A multistage stratified random sampling method will be used to identify a nationally representative community-based cohort of at least 85,000 adults (i.e., ≥ 18 years of age) from 34 communities in 17 of mainland China's 31 provincial-level administrative regions. Baseline data collection includes 1) demographic, social and clinical data, 2) diagnostic information, 3) biological samples (i.e., blood, urine, hair), 4) brain MRI scans, and 5) environmental data (e.g., community-level metrics of climate change, air pollution, and socio-economic characteristics). Baseline findings will identify participants with or without depressive disorders. Annual reassessments will monitor potential risk factors for depression and identify incident cases of depression. Cox Proportional-Hazards Regression, Network analysis, Disease trajectory modelling, and Machine learning prediction models will be used to analyze the collected data. The study's main outcomes are the occurrence of depressive disorders; secondary outcomes include adverse behaviors (e.g., self-harm, suicide), the recurrence of depression and the incidence other mental disorders. DISCUSSION: The China Depression Cohort Study-I will collect a comprehensive, nationally representative set of individual-level and community-level variables over time. The findings will reframe the understanding of depression from a 'biology-psychology-society' perspective. This perspective will improve psychiatrists' understanding of depression and, thus, promote the development of more effective subgroup-specific antidepressant drugs and other interventions based on the new biomarkers and relationships identified in the study. TRAIL REGISTRATION: The protocol has been registered on the Chinese Clinical Trial Registry (No. ChiCTR2200059016).

Moral courage, job-esteem, and social responsibility in disaster relief nurses.

BACKGROUND: Social responsibility can motivate disaster relief nurses to devote themselves to safeguarding rights and interests of people when facing challenges that threaten public health. However, few studies focused on the relationship of moral courage, job-esteem, and social responsibility among disaster relief nurses. OBJECTIVE: To explore the influence of moral courage and job-esteem on the social responsibility in disaster relief nurses and clarify the relationship model between them. METHODS: A cross-sectional study was conducted among 716 disaster relief nurses from 14 hospitals in central China through an online survey, including moral courage scale, job-esteem scale, and social responsibility questionnaire. The data were analyzed by Pearson's correlation, and the mechanism of the effect of moral courage and job-esteem on social responsibility was completed. ETHICAL CONSIDERATIONS: This study was approved by the Medical Ethics Committee of the Second Xiangya Hospital of Central South University (Approval Number: 2019016). RESULTS: Disaster relief nurses' moral courage positively impacted social responsibility (r = 0.677, p < 0.01), and moral courage could affect social responsibility through the mediating role of job-esteem. CONCLUSION: Job-esteem mediated between moral courage and social responsibility among disaster relief nurses. Nursing managers regular assessment of nurses' moral courage and interventions such as meetings and workshops can reduce moral distress, foster morally courageous behavior, enhance job-esteem, and improve social responsibility performance among disaster relief nurses.

Functional connectivity alterations in reward-related circuits associated with non-suicidal self-injury behaviors in drug-naïve adolescents with depression.

Non-suicidal self-injury (NSSI) behaviors are a major public health concern among adolescents with depression. Such behaviors may be associated with the reward system. However, the underlying mechanism in patients with depression and NSSI still remains unclear. A total of 56 drug-naïve adolescents with depression, including 23 patients with NSSI (the NSSI group) and 33 patients without NSSI (the nNSSI group), and 25 healthy controls (HCs) were recruited in this study. Seed-based functional connectivity (FC) was used to explore the NSSI-related FC alterations in the reward circuit. Correlation analysis was conducted between the altered FCs and clinical data. Compared with the nNSSI group, the NSSI group showed greater FC between left nucleus accumbens (NAcc) and right lingual gyrus and between right putamen accumbens and right angular gyrus (ANG). The NSSI group also had declined FC between right NAcc and left inferior cerebellum, between left cingulate gyrus (CG) and right ANG, between left CG and left middle temporal gyrus (MTG), and between right CG and bilateral MTG (voxel-wise p < 0.01, cluster-wise p < 0.05, Gaussian random field correction). The FC between right NAcc and left inferior cerebellum was found positively correlated with the score of addictive features of NSSI (r = 0.427, p = 0.042). Our findings indicated that the regions in the reward circuit with NSSI-related FC alterations included bilateral NAcc, right putamen and bilateral CG, which may provide new evidence on the neural mechanisms of NSSI behaviors in adolescents with depression.

Investigating and comparing the psychometric properties of the Chinese Mandarin version of social responsiveness scale-2 and its shortened version in preschool-age children with autism spectrum disorder.

We aimed to investigate and compare the psychometric properties of the Chinese Mandarin Social Responsiveness Scale-2 (SRS-2) and its shortened version. The study assessed 670 children with autism spectrum disorder (ASD) aged 30-54 months and 138 typical developmental (TD) children of the same age in mainland China. Our item reliability test revealed that only 36 items of the 65 items in the Chinese Mandarin SRS-2 (Preschool) met the reliability criteria. Moreover, the shortened version of SRS-2 (Preschool) with four subscales and 30 items maintained strong correlations (r = 0.961) with the Chinese Mandarin SRS-2 (Preschool), and demonstrated improved psychometric performance on the 4-week test-retest reliability (intraclass correlations was 0.70), internal consistency (Cronbach's alpha 0.71-0.91), construct validity, and convergent validity with the Autism Diagnostic Observation Schedule, Autism Diagnostic Interview-Revised, and Child Behavior Checklist. Receiver operating characteristics (ROC) analyses showed excellent and comparable discriminant validity of the shortened version with an area under the curve of 0.992. Our data suggested a cutoff ≥ 22.5 for the shortened version, with good accuracy in screening autism symptoms (sensitivity=96.9 %, specificity=94.2 %). Our findings demonstrated that the shortened version of SRS-2 (Preschool) was a reliable and valid instrument for identifying preschoolers with ASD in mainland China.

Key factors selection on adolescents with non-suicidal self-injury: A support vector machine based approach.

Comparing a family structure to a company, one can often think of parents as leaders and adolescents as employees. Stressful family environments and anxiety levels, depression levels, personality disorders, emotional regulation difficulties, and childhood trauma may all contribute to non-suicidal self-injury (NSSI) behaviors. We presented a support vector machine (SVM) based method for discovering the key factors among mazy candidates that affected NSSI in adolescents. Using SVM as the base learner, and the binary dragonfly algorithm was used to find the feature combination that minimized the objective function, which took into account both the prediction error and the number of selected variables. Unlike univariate model analysis, we used a multivariate model to explore the risk factors, which better revealed the interactions between factors. Our research showed that adolescent education level, anxiety and depression level, borderline and avoidant personality traits, as well as emotional abuse and physical neglect in childhood, were associated with mood disorders in adolescents. Furthermore, gender, adolescent education level, physical abuse in childhood, non-acceptance of emotional responses, as well as paranoid, borderline, and histrionic personality traits, were associated with an increased risk of NSSI. These findings can help us make better use of artificial intelligence technology to extract potential factors leading to NSSI in adolescents from massive data, and provide theoretical support for the prevention and intervention of NSSI in adolescents.

Association between high burn-out and workplace violence among healthcare workers in China: a WeChat-based survey.

OBJECTIVES: This study is conducted to examine whether overall workplace violence (WPV) and its five types are associated with high burn-out among healthcare workers in China. DESIGN: A WeChat-based cross-sectional survey. Snowball sampling was used in this study. PARTICIPANTS: Front-line healthcare workers (N=3706) from 149 cities across 23 provinces in China responded to the survey, and 22 questionnaires were excluded because of incomplete data. PRIMARY AND SECONDARY OUTCOME MEASURES: (1) The Chinese Maslach Burnout Inventory-General Survey was used to measure high burn-out. (2) WPV was assessed using the Chinese version of the Workplace Violence Scale. (3) An anonymous self-designed web-based questionnaire consisting of demographic, behavioural and occupational information was used to identify covariates. RESULTS: A total of 3684 front-line healthcare workers (934 physicians and 2750 nurses) were included. Of all participants, 13.3% (491/3193) experienced high burn-out. Adjusted logistic regression revealed that experience of WPV in the past year was associated with high burn-out (OR 2.10, 95% CI 1.69 to 2.62). Healthcare workers who had suffered emotional abuse, threat or verbal sexual harassment were more vulnerable to high burn-out. CONCLUSION: This study finds that healthcare workers with WPV, especially emotional abuse, threat and verbal sexual harassment, are more likely to experience burn-out. These types of WPV should be considered in interventions to reduce and prevent burn-out for healthcare workers.

Anticipating Unipolar Depression and Bipolar Depression in young adult with first episode of depression using childhood trauma and personality.

Objective: Relevant research focusing on young adults with Unipolar Depression (UD) and Bipolar Depression (BD) is limited. The current research aims to investigate childhood trauma and personality traits in young adults with UD and BD. Methods: Two hundred and thirty-five patients in a first depressive episode (diagnosed UD and BD), 16-25 years old, were recruited from Second Xiangya Hospital. And 79 healthy controls (HC) were recruited from the community to form the comparison group. Patients' childhood trauma was measured by the Childhood Trauma Questionnaire (CTQ), and personality was measured by Eysenck Personality Inventory (EPI). The Kruskal-Wallis test was used to compare depression, anxiety, CTQ, and EPI scores between the HC (n = 79), UD (n = 131), and BD (n = 104) groups. Factors independently associated with mood disorders and BD were determined using binary logistic regression analyses. Results: Compared with HC, mood disorders had more severe anxiety and depression symptoms, and higher CTQ. Emotional abuse (OR = 1.47; 95% CI = 1.08-2.01), emotional neglect (OR = 1.24; 95% CI = 1.05-1.46), and neuroticism (OR = 1.25; 95% CI = 1.16-1.35) were associated with significantly increased odds of mood disorders. Whereas, higher extraversion scores were a protective factor for mood disorders. Compared with UD, BD had more severe anxiety symptoms, and higher CTQ, than extraversion and neuroticism personality scores. Anxiety (OR = 1.06; 95% CI = 1.02-1.08) and extraversion (OR = 1.05; 95% CI = 1.03-1.09) were associated with significantly increased odds of BD. Conclusion: Interventions to prevent childhood trauma may improve young adults' mental health. Using childhood trauma and personality to anticipate BD and UD creates more accurate treatment for young adults with first depression.

Sociodemographic, occupational, and personal factors associated with sleep quality among Chinese medical staff: A web-based cross-sectional study.

Background: Sleep quality among medical staff affects not only their own health but also the health of their patients. This study aimed to investigate the sociodemographic, occupational, and personal factors associated with sleep quality among medical staff in mainland China. Methods: An online survey was conducted from January 10 to February 5, 2019, involving 3,684 medical staff (female: 84.9%; mean age: 31.6 ± 7.7; age range: 18-72). Sleep quality was measured by the Chinese version of the Pittsburgh Sleep Quality Index (C-PSQI). Sociodemographic, occupational characteristics, and personal lifestyle factors were measured by standard questions. Binary logistic regression analyses were used to determine the factors associated with sleep quality. Results: 57.9% (95% CI: 56.3-59.5%) of the study population experienced poor sleep quality (C-PSQI > 5). Binary logistic regression showed that poor sleep quality were associated with lower level of education, higher level of hospital care, longer weekly working hours, more than 30 min of cell phone use at bedtime, shift work (OR 1.33, 95% CI[1.12-1.58], P = 0.001), lack of regular naps (OR 1.46, 95% CI[1.26-1.69], P < 0.001) and lack of routine exercise (OR 1.69, 95% CI[1.46-1.97], P < 0.001). Conclusions: Poor sleep quality is highly prevalent among medical staff in mainland China. The findings indicate that appropriate strategies, such as implementing regular breaks, regulating overtime work and vacation interruptions, as well as developing exercise programs, relaxation training, and stress-management programs could help improve the sleep quality of medical staff.

Influence of academic stress and school bullying on self-harm behaviors among Chinese middle school students: The mediation effect of depression and anxiety.

Objective: The purpose of this study was to explore the relationship between academic stress, school bullying and self-harm behaviors among Chinese middle school students and to further explore the impact of anxiety and depression on this relationship. Methods: The students (aged 12-16 years) in a middle school in Changsha city were invited to respond to a questionnaire through an online platform. The Patient Health Questionnaire-9 (PHQ-9) and Generalized Anxiety Disorder-7 (GAD-7) were used to assess the severity of anxiety and depressive symptoms, respectively. The experience of being bullied, academic stress, and self-harm behaviors were assessed using several questions on the basis of previous studies. Results: A total of 1,313 middle school students completed the study, and 3.40% and 4.10% of them reported suicide attempts (SAs) and non-suicidal self-injury (NSSI), respectively. Univariate logistic regression analysis revealed that anxiety symptoms (OR = 1.23, 95% CI: 1.18-1.28; OR = 1.25, 95% CI: 1.19-1.31), depressive symptoms (OR = 1.20, 95% CI: 1.16-1.25; OR = 1.26, 95% CI: 1.20-1.31), school bullying (OR = 3.8, 95% CI: 2.11-6.89; OR = 2.76, 95% CI: 1.39-5.47), and academic stress (OR = 2.20, 95% CI: 1.27-3.80; OR = 3.80, 95% CI: 1.20-7.25) were common factors of NSSI and SAs. In addition, depressive symptoms showed a mediating effect on the association of school bullying and academic stress with SAs or NSSI, and anxiety symptoms showed a mediating effect on the association of school bullying and academic stress with NSSI only. Conclusion: Appropriate strategies are needed to reduce academic pressure and prevent school bullying. Meanwhile, negative emotions such as depression and anxiety should be evaluated and intervened in to prevent self-harm behaviors among middle school students.

Readiness for Hospital Discharge of Adult Patients with Major Depressive Disorder in China: A Cross-Sectional Study.

PURPOSE: Being ready for discharge is vital to successful hospital-to-home transitions. However, despite a wealth of evidence on its effectiveness, little is known about readiness for hospital discharge (RHD) in adult patients with major depressive disorder (MDD) and its influencing factors. In this study, we investigated the patient-reported RHD and its influencing factors among Chinese adult patients with MDD. PATIENTS AND METHODS: In this cross-sectional design study, 230 adult patients with MDD were recruited according to the inclusion and exclusion criteria, 6 were excluded due to incomplete questionnaires, finally 224 patients were included in our study. Data were collected from March to September 2019 in a tertiary general hospital in Hunan Province (China). The general information, RHD, quality of discharge teaching and level of depression were assessed by using questionnaires. Univariate analysis and ordinal logistic regression analysis were performed to explore the influencing factors of RHD. RESULTS: The RHD score was 7.37 ± 1.40, and 36.2% of participants were not ready for discharge. The score of quality of discharge teaching scale (QDTS) was 6.36 ± 1.89, the dimension of delivery scored highest, followed by content-needed and content-received. The proportions of patients with no, mild, moderate, moderately severe and severe depression were 12.5%, 27.7%, 25.0%, 25.4% and 9.4%, respectively. The following factors were associated with RHD: the level of depression (OR=0.66), the content-received dimension of QDTS (OR=1.16), education level (OR=1.24), work status (OR=1.76) and length of hospitalization (OR=0.53). CONCLUSION: The RHD among participants was at a moderate level. It is strongly suggested to take the assessment of RHD as a routine process. High education level, employment and the content-received dimension of QDTS were protective factors of participants' RHD, and long-term hospitalization, the high level of depression were its risk factors.