Background With the continuous development of the healthcare industry, healthcare workers face increasing pressure, including long-term shift work and workplace violence from patients or their relatives. This not only affects the physical and mental health of healthcare workers but may also negatively impact the quality of patient care and the efficiency of medical services. Objectives To analyze the pathways through which shift work and workplace violence affect healthcare workers' self-rated health and depression symptoms, explore potential mediating role of job burnout, and conduct subgroup analyses to reveal differences among various groups. Methods Data were collected from 3706 frontline healthcare workers across 23 provinces from January 10 to February 5, 2019, using a snowball sampling method. The survey included basic demographic information, self-rated health, depression symptoms [assessed using the Patient Health Questionnaire-2 (PHQ-2)], workplace violence experience assessed using the Workplace Violence Scale), and job burnout (assessed using the Chinese Maslach Burnout Inventory). Data were analyzed using logistic regression, structural equation modeling (for mediating effects), and subgroup analysis to examine the impacts of shift work and workplace violence on health and depression symptoms. Results Among the subjects, 2700 workers (73.29%) reported shift work experience, 2079 workers (56.43%) experienced workplace violence, 633 workers (17.18%) reported poor self-rated health, and 687 workers (18.65%) reported depression symptoms. Shift work was associated with self-rated health (OR=0.572, 95%CI: 0.461, 0.710) and depression symptoms (OR=1.519, 95%CI: 1.190, 1.938), while workplace violence also associated with self-rated health (OR=0.566, 95%CI: 0.471, 0.681) and depression symptoms (OR=2.096, 95%CI: 1.740, 2.525). Job burnout significantly mediated the effects of shift work and workplace violence on self-rated health (indirect effects: −0.023, −0.027) and depression symptoms (indirect effects: 0.032, 0.037) (all P < 0.001). The subgroup analysis revealed that age, marital status, physical exercise, smoking, and alcohol consumption influenced the impacts of shift work and workplace violence on health. Conclusion Shift work and workplace violence significantly affect healthcare workers' self-rated health and depression symptoms, with job burnout playing a key mediating role in this process. This suggests that healthcare institutions should improve resource allocation, provide flexible scheduling systems, ensure adequate rest time, and increase psychological support and safety measures to help healthcare workers better cope with work-related stress and violence.

OBJECTIVE: To investigate whether the G protein-coupled estrogen receptor (GPER) can attenuates acute lung injury in mice with exertional heat stroke (EHS) by inhibiting ferroptosis. METHODS: Sixty SPF-grade male C57BL/6 mice were randomly divided into four groups: normal control group (control group), EHS model group (EHS group), dimethyl sulfoxide (DMSO) solvent group (EHS+DMSO group), and GPER-specific agonist G1 group (EHS+G1 group), with 15 mice in each group. All mice underwent 14 days of adaptive training at 24-26 centigrade before modeling, and the EHS model was established using a high-temperature treadmill device. After successful modeling, the mice were allowed to cool naturally at room temperature. In the EHS+G1 group, 40 μg/kg of the GPER-specific agonist G1 was slowly injected intraperitoneally immediately after modeling. In the EHS+DMSO group, 40 μg/kg of DMSO was slowly injected intraperitoneally immediately after modeling. The control group received no treatment. Five hours after modeling, abdominal aortic blood was collected, and lung tissues were harvested after euthanasia. The lung coefficient was calculated to evaluate lung injury. Lung histopathological changes were observed under a light microscope after hematoxylin-eosin (HE) staining, and a lung histopathological score was assigned. Enzyme-linked immunosorbent assay (ELISA) was used to detect serum levels of tumor necrosis factor-α (TNF-α), interleukin-1β (IL-1β), malondialdehyde (MDA), and Fe²⁺ in lung tissue. Immunofluorescence was used to detect the expression of glutathione peroxidase 4 (GPX4). Real-time polymerase chain reaction (RT-PCR) was used to detect the mRNA expression of GPX4, ferroportin 1 (FPN1), and ferritin heavy chain 1 (FTH1). Western blotting was performed to detect the protein expression of GPX4, FPN1, and FTH1. RESULTS: Compared with the control group, the lung coefficient and lung histopathological score were significantly increased in the EHS group. HE staining showed significant thickening and unevenness of the alveolar septa and alveolar walls, partial alveolar collapse, and extensive erythrocyte, inflammatory cell, and plasma-like material extravasation in the alveolar spaces. Serum levels of TNF-α, IL-1β, MDA, and Fe²⁺ were significantly elevated. Immunofluorescence staining showed a significant decrease in GPX4-positive expression in lung tissue. Western blotting and RT-PCR showed significantly reduced protein and mRNA expression of GPX4, FPN1, and FTH1 in lung tissue. Compared with the EHS group, the EHS+G1 group showed a significant reduction in lung coefficient and lung histopathological score [lung coefficient (mg/g): 3.9±0.1 vs. 4.6±0.3, lung histopathological score: 4.2±0.2 vs. 6.9±0.2, both P < 0.05]. HE staining revealed reduced severity of lung tissue fluid extravasation, inflammatory infiltration, decreased hemorrhage, and less severe alveolar structural damage. Serum levels of TNF-α, IL-1β, MDA, and Fe²⁺ were significantly reduced [TNF-α (ng/L): 44.3±0.2 vs. 64.6±0.3, IL-1β (ng/L): 69.3±0.4 vs. 97.8±0.2, MDA (nmol/L): 2.8±0.3 vs. 3.6±0.5, Fe²⁺ (nmol/L): 0.021±0.004 vs. 0.028±0.004, all P < 0.05]. Immunofluorescence staining showed a significant decrease in GPX4-positive expression in lung tissue (fluorescence intensity: 35.53±2.41 vs. 16.45±0.31, P < 0.05). RT-PCR and Western blotting showed significantly increased mRNA and protein expression of GPX4, FPN1, and FTH1 in lung tissue [mRNA expression: GPX4 mRNA (2^-ΔΔCt): 0.44±0.05 vs. 0.09±0.01, FPN1 mRNA (2^-ΔΔCt): 0.77±0.17 vs. 0.42±0.14, FTH1 mRNA (2^-ΔΔCt): 0.75±0.04 vs. 0.58±0.01; protein expression: GPX4/β-actin: 0.96±0.11 vs. 0.24±0.04, FPN1/β-actin: 1.26±0.21 vs. 0.44±0.14, FTH1/β-actin: 0.27±0.12 vs. 0.15±0.07; all P < 0.05]. However, there were no statistically significant differences in any of the above indicators between the EHS+DMSO group and the EHS group. CONCLUSION Activation of GPER can attenuate EHS-related lung injury in mice, and its mechanism may be related to the activation of the GPX4 signaling pathway and inhibition of ferroptosis.
Animals ; Mice, Inbred C57BL ; Male ; Mice ; Heat Stroke/metabolism* ; Receptors, G-Protein-Coupled ; Ferroptosis ; Receptors, Estrogen ; Acute Lung Injury/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-1beta/metabolism* ; Lung Injury ; Lung/metabolism*

Digital therapy shows promise in providing precise assessments and enhancing the efficacy of treatments for mental illness,offering advantages such as convenience,flexibility,and the potential to reduce costs by shifting towards preventive care.This article reviews the development and benefits of digital therapy in mental health care and discusses the challenges it faces,including concerns over privacy,ethics,security,acces-sibility issues,digital divides,and the lack of sufficient clinical validation and standardization.It also highlights specific risks to mental health patients and explores potential future developments such as integration with brain-computer interfaces and neurofeedback,the use of robot therapists based on large language models,applications of virtual reality or the metaverse,and combinations with traditional physical treatments and medications.The author calls for urgent policy recommendations to refine regulations,establish unified evidence standards,enhance train-ing and education for healthcare providers and patients,and to build multidisciplinary collaborative mechanisms to advance personalized and effective digital therapy in mental health.

Transforming growth factor (TGF)-β is a group of cytokines with anti-inflammatory effects in the TGF family, which participates in the development of stress and depression-related mechanisms, and plays roles in the regulation of inflammatory response in depression and the recovery of various cytokine imbalances. The core symptoms of depression is associated with TGF-β level, and the psychological symptoms of depression are related to TGF-β gene polymorphism. Various antidepressants may up-regulate TGF-β level through the complex interaction between neurotransmitters and inflammatory factors, inhibiting inflammatory response and regulating cytokine imbalance to improve depressive symptoms. Studies have shown that recombinant TGF-β1 protein has beneficial effects in mouse depression models, indicating TGF-β1 might be a potential therapeutic target for depression and nasal sprays having the advantage of being fast acting delivery method. This article reviews the research progress on dynamic changes of TGF-β level before and after depression treatment and the application of TGF-β level as an indicator for the improvement of depressive symptoms. We provide ideas for the development of new antidepressants and for the evaluation of the treatment efficacy in depression.
Animals ; Mice ; Transforming Growth Factor beta/metabolism* ; Transforming Growth Factor beta1 ; Depression ; Cytokines ; Antidepressive Agents/therapeutic use* ; Transforming Growth Factors

There is still a lack of sufficient evidence-based basis for the treatment of simple gaming disorder. The purpose of this paper is to review the research progress of gaming disorder intervention， in order to provide references for the treatment of patients with gaming disorder. With the development and popularization of the Internet， the adverse events caused by the pathological use of online games have attracted wide attention. At present， gaming disorder has been listed in the International Classification of Diseases， eleventh edition （ICD-11） by WHO. This paper reviewed the latest interventions measures about gaming disorder at home and abroad in the past decade， including psychological， pharmacological and physical intervention methods， and analyzed and summarized these intervention measures， so as to provide references for patients with gaming disorder to formulate a reasonable intervention plan.

Objective:To explore the relationship between knowledge of a friend's non-suicidal self-injury (NSSI) behavior and self injury and suicide behaviors of adolescents.Methods:From January 2020 to January 2021, totally 1 683 students from a middle school in Xiamen were randomly selected by cluster sampling.The suicide items of the self-injurious thoughts and behaviors interview(SITBT) were used to assess whether students were aware of their friends' self injurious history and their self injurious behaviors.The suicide items of the mini international neuropsychiatric interview for children and adolescents (MINI-KID) were used to assess students' suicide ideation and behavior.The data were statistically analyzed by SPSS 21.0 software.Logistic regression model was used to analyze the relationship between knowledge of a friend's NSSI and adolescents' own self-reported NSSI and suicidal behaviors.Results:A total of 1 683 junior and senior high school students completed the survey, including 412 (24.4%) who knew their friend's NSSI history and 1 271 (75.6%) who did not know their friend's NSSI history.There were statistically significant differences between the adolescents known and unknown friends' NSSI histories in terms of age, gender, whether they were left-behind children, mental disorders, their own NSSI, suicide attempts, and suicidal ideation (all P<0.05). Knowledge of a friend's NSSI behavior had positive predictive effect on adolescents' own NSSI behavior ( β=0.558, OR=2.01, 95% CI=1.58-3.88), suicidal ideation( β=0.238, OR=3.03, 95% CI=2.08-5.55), and suicide attempts ( β=0.233, OR=2.88, 95% CI=1.55-5.45) (all P<0.05). Conclusion:Knowledge of a friend's NSSI behavior may have an impact on adolescents' own self-injury and suicidal behavior.

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.
Humans ; Young Adult ; Adult ; Burnout, Professional ; Cross-Sectional Studies ; Depression/epidemiology* ; Workplace Violence ; Burnout, Psychological ; Health Personnel

OBJECTIVES: Adolescents are at high risk of non-suicidal self-injury (NSSI). Currently, there is no clinical assessment tool for adolescent NSSI behaviors measurement with global consistency. The Ottawa Self-injury Inventory (OSI) is considered as a relatively comprehensive assessment tool for NSSI, but the questionnaire is discussed with excessive content and timecostly, which may affect the reliability of the measurement results for adolescent.Thus, this study, based on OSI, aims to revise the assessment tool for adolescent with NSSI that is suitable for both clinically and scientifically, referring to the diagnostic criteria for NSSI in the 5th Diagnostic and Statistical Manual of Mental Disorder (DSM-5). METHODS: This study was led by the Second Xiangya Hospital of Central South University and collaborated with 6 mental health service institutions in China from August to December 2020. Adolescent aged from 12 to 24 years old who had self-injury behavior and met the DSM-5 diagnostic criteria for NSSI were continuously recruited in the psychiatric outpatient department or ward. After clinical diagnosis by an experienced attending psychiatrist or above, the general information and OSI were collected by questionnaires. SPSS 24.0 and AMOS structural equation model statistical softwares were used to conduct item analysis and exploratory factor analysis on the obtained data to complete the revision of the scale. Cronbach's alpha coefficient, split-half reliability, test-retest reliability, and content validity and structure validity were performed to analyze the reliability and validity and confirmatory factor analysis was carried out to test the structure validity for the revised scale. RESULTS: A total of 234 adolescent with NSSI were enrolled, including 33 (14.1%) males and 201 (85.9%) females with the mean age of (16.2±2.6) years old. The most common clinical diagnoses were depression disorder (57.4%), bipolar disorder (20.9%), adolescent mood disorder (17.1%), etc. Nine items (item 2, 7, 11, 13, 23, 24, 10, 17, 18) in the functional scale of OSI were deleted according to extreme grouping method, correlation analysis, and principal component analysis in exploratory factor analysis. The revised functional scale for NSSI consisted of 15 items. The reliability analysis showed that the Cronbach's alpha coefficients of NSSI thought and behavior frequency, addiction characteristics, and function scales were 0.799, 0.798, and 0.835, respectively, and the split-half coefficients were 0.714, 0.727, and 0.852, respectively. The test-retest coefficients of the latter 2 scales were 0.466 and 0.560, respectively. The correlation coefficient between sub-items and total scores in each part of the scale showed good content validity. The exploratory factor analysis showed that a component was extracted from the frequency of thoughts and behaviors of NSSI, one component was extracted from the addictive characteristics, and three components were extracted from the functional part. The three functional subscales were social influence, external emotion regulation, and internal emotion regulation. The factor load of each item was >0.400. CONCLUSIONS The revised Chinese version OSI targeted the adolescent patients with mental disorders has relatively ideal reliability and validity. The scale shows high stability, dependability, and a reasonable degree of fit. It is a suitable assessment tool for clinical and scientific research on adolescent with NSSI.
Adolescent ; Adult ; Child ; Factor Analysis, Statistical ; Female ; Humans ; Male ; Mental Disorders/diagnosis* ; Psychometrics/methods* ; Reproducibility of Results ; Self-Injurious Behavior/psychology* ; Surveys and Questionnaires ; Young Adult

Objective:To investigate the feasibility and clinical value of MRI quantitative evaluation technique in detecting sternocleidomastoid muscle fibrosis in patients with nasopharyngeal carcinoma (NPC) after radiotherapy.Methods:From August 2019 to March 2021, 45 patients with clinically confirmed NPC after radiotherapy and 30 healthy controls who underwent physical examination in Lishui Hospital of Zhejiang University were enrolled in our study. According to the Radiation Therapy Oncology Group/European Organization for Research and Treatment of Cancer (RTOG/EORTC) classification criteria of late radiation reactions respectively, the sternocleidomastoid muscle injury in the NPC group was divided into grade Ⅰ, Ⅱ and Ⅲ, which included 8, 32 and 5 patients respectively. All patients underwent T 1 mapping and T 2 mapping imaging of the neck. Firstly, the mapping images of sternocleidomastoid muscle between the two groups were analyzed and compared. Using NUMARIS/4 software of Siemens image post-processing workstation, the region of interest was manually drawn along the edge of sternocleidomastoid muscle at the level of laryngeal chamber in axial mapping diagram. Then, T 1 and T 2 values and the long and short diameters of sternocleidomastoid muscle were measured respectively. Finally, the differences of the parameters between the two groups were compared by independent sample t-test, Spearman rank correlation was used to analyze the relationship between the average T 1 and T 2 values of bilateral sternocleidomastoid muscles and the grade of late radiation injury. Results:Compared with the control group, the shape of sternocleidomastoid muscle in the NPC group was smaller in shape, with irregular edge and uneven increase of T 1 mapping color scale. There was no significant difference in muscle signal in T 2 mapping. The T 1 values of left and right sternocleidomastoid muscles in the NPC group were (1 524.7±97.6) and (1 496.5±93.2) ms respectively, which were significantly higher than those in the normal control group [(1 231.5±85.3) and (1 275.9±90.9) ms] ( P<0.05), and the T 2 values of left and right sternocleidomastoid muscles in the NPC group were (28.4±4.8) and (28.4±3.6) ms respectively, which were lower than those in the normal control group [(30.4±3.5) and (30.4±3.5) ms] ( P<0.05). The long and short diameters of bilateral sternocleidomastoid muscles in the NPC group were shorter than those in the control group ( P<0.05). The average T 1 and T 2 values of bilateral sternocleidomastoid muscles in NPC patients after radiotherapy were (1 510.6±95.4) and (28.4±4.2) ms respectively, The T 1 value was positively correlated with the classification of advanced radiation injury ( r=0.78, P<0.001), and T 2 value was negatively correlated with the level of advanced radiation injury ( r=-0.87, P<0.001). Conclusion:Mapping quantitative evaluation technique can noninvasively and objectively detect and evaluate sternocleidomastoid muscle fibrosis after NPC radiotherapy, which has potential clinical application value.

Objective:To develop a prediction model based on imaging features by contrast-enhanced MRI radiomics combined with clinical features for early recurrence of hepatocellular carcinoma (HCC) after radical resection.Methods:A retrospective study was carried out on 109 HCC patients who underwent radical resection at the Fifth Affiliated Hospital of Wenzhou Medical University from January 2015 to December 2020. Of 109 patients enrolled in this study, there were 96 males and 13 females, aged (58.3±10.7) years. Based on whether there was recurrence within 12 months after operation, the patients were divided into the early recurrence group ( n=31) and the control group ( n=78). These 109 patients were then randomly divided into the validation set ( n=23) and the training set ( n=86) at a ratio of 1∶4. Based on preoperative multi-phase contrast-enhanced MRI scanning, the tumor lesions were delineated on the Radcloud platform, and 1 409 quantitative radiomic features were extracted. Dimension reduction and screening of these features were carried out using variance threshold, SelectKBest and LASSO. Combined with clinical features (alpha fetoprotein, tumor size), several prediction model were established through machine learning. The predictive efficiencies of these models were evaluated using the area under the receiver operating characteristic (ROC) curve, accuracy rate, recall rate and balanced F score. Results:The proportions of irregular tumor shape and unclear tumor boundary, as well as maximum tumor diameter in the early recurrence group were significantly higher than that in the control group, but the proportion of pseudocapsule was significantly lower than that in the control group (all P<0.05). A total of 465 features were screened from the 1 409 features using the variance threshold method, followed by 38 features were screened using the method of SelectKBest. Finally 7 optimal radiomic features were screened based on the LASSO method. When combined with clinical features, 5 prediction models were established through machine learning. These models were support vector machine, Gaussian naive bayes, logistic regression, Multinomial naive bayes and K-nearest neighbor (KNN), respectively. Among these 5 models, the prediction efficiency of the KNN model was relatively highest, with the area under the ROC curve, accuracy rate, recall rate and balanced F score being 0.90, 0.98, 0.74 and 0.84 in the training set, and 0.76, 0.92, 0.75 and 0.83 in the verification set, respectively. Thus, the KNN model was selected as the best prediction model in this study. Conclusion:The prediction model of KNN was developed for early recurrence of HCC after radical resection based on preoperative contrast-enhanced MRI radiomics combined with clinical features.