The impact of workplace violence on job burnout among Chinese correctional officers: the chain mediating effects of stress and insomnia.

BACKGROUND: The risk of workplace violence and job burnout among Chinese correctional officers is high. Stress and insomnia may influence the relationship between workplace violence and job burnout; however, this influence has been rarely studied. This study aimed to explore the effect of workplace violence on job burnout among Chinese correctional officers and to assess the contribution of stress and insomnia to this effect. METHODS: In this study, the workplace violence scale, the Assens insomnia scale, the 21-item Depression Anxiety Stress Scale, and the Maslach Burnout Inventory-General Survey scale were used to assess the workplace violence, insomnia, stress, and job burnout experienced by the 472 correctional officers, respectively. RESULTS: The results showed that (1) workplace violence was significantly and positively predictive of job burnout, (2) workplace violence affected job burnout through the mediation of stress, (3) workplace violence affected job burnout through the mediation of insomnia, and (4) stress and insomnia played fully interlocking mediating roles in the effect of workplace violence on job burnout. CONCLUSION: Stress and insomnia may play a full mediating role in the relationship between workplace violence and job burnout. This suggested that correctional officers may take measures to reduce stress and improve insomnia, thereby reducing their job burnout. Further research may focus on the development of effective interventions to reduce stress and improve insomnia among correctional officers.

The association of childhood adversities and mental health problems with dual-harm in individuals with serious aggressive behaviors.

BACKGROUND: The coexistence of self-harm and aggression, which is referred to as dual-harm, is commonly seen in forensic population. Self-harm and aggression have often been studied separately, previous studies on risk factors of aggression or self-harm mainly focused on childhood adversities, emotional regulation, impulsivity and psychopathology, given their importance in the two behaviors. However, the factors associated with dual-harm remain unclear. This study aimed to explore potential risk factors associated with co-occurring self-harm among individuals with serious aggressive behaviors. METHODS: This multi-center, cross-sectional case-control study was conducted from May 2013 to January 2016 and involved seven qualified forensic institutes located in seven provinces in China. Participants were individuals with serious aggressive behaviors and were suspected to have mental disorders. Lifetime history of self-harm was obtained by a self-report questionnaire, and serious aggressive behaviors were assessed with the use of participants' forensic archive. Sociodemographic and clinical information were collected using a self-designed standardized data collection form, and childhood adversities was assessed using a clinician-rated scale designed by our research team. The Psychopathy Checklist-Revised (PCL-R) was used to assess psychopathic traits and the Brief Psychiatric Rating Scale (BPRS) was used to assess psychiatric symptoms of the participants. Univariate and multivariate logistic regression analyses were performed to analyze the relevant factors for dual-harm. RESULTS: A total of 423 individuals with serious aggressive behaviors were enrolled in the current study. Of them, 74 (17.5%) with self-harm history assigned into the dual-harm group (D-H) and 349 (82.5%) without self-harm history assigned into the aggression-only group (A-O). According to the binary logistic regression analysis, current diagnosis of mood disorder (OR = 3.2, 95%CI: 1.2-8.5), child abuse (OR = 2.8, 95%CI: 1.3-6.2), parental death (OR = 3.0, 95%CI: 1.2-7.5), and the score of the affective subscale in BPRS (OR = 1.7, 95%CI: 1.3-2.4) were significantly associated with dual-harm. CONCLUSIONS: Our study suggested the necessity of integrated evaluation of self-harm among individuals with serious aggressive behaviors. Childhood adversities and psychiatric symptoms in this population require special attention.

Abnormal gut microbiota and bile acids in patients with first-episode major depressive disorder and correlation analysis.

AIM: Gut microbiota and its metabolite bile acids may play a significant role in the occurrence and development of major depressive disorder (MDD). Therefore, this study analyzes gut microbiota and bile acids, as well as their correlation in patients. METHODS: Thirty-one patients with MDD and 29 healthy controls (HCs) were enrolled in this study. We collected their both blood and feces. Plasma bile acid content was determined by liquid chromatography-mass spectrometry and gut microbiota was detected by 16SrRNA gene sequencing and subsequently analyzed. We also analyzed the correlation between different gut microbiota, bile acids, and Hamilton Depression (HAMD) score. RESULTS: The α-diversity analysis found that Simpson and Pielou evenness index was much higher in HCs than in the patients with MDD. The ß-diversity of the two groups were differences by nonmetric multidimensional scaling analysis. Linear discriminant analysis effect size analysis identified 16 different strains. Bile acids detection showed that 23-nordeoxycholic acid in patients with MDD was significantly higher than in HCs, whereas taurolithocholic acid (TLCA), glycolithocholic acid (GLCA), and lithocholic acid 3-sulfate were significantly lower. Spearman correlation analysis showed that Turicibacteraceae, Turicibacterales, and Turicibacter were positively related with TLCA, GLCA, glycodeoxycholic acid (GDCA), and taurodeoxycholic acid, and were negatively correlated with HAMD score. At the same time, TLCA, GLCA, and GDCA were negatively correlated with HAMD score. CONCLUSIONS: Gut microbiota and bile acids metabolism are disturbances in MDD, and there exists a correlation between gut microbiota and bile acids metabolism. Moreover, their interaction may be related to the pathophysiological mechanism of MDD.

Injuries in Left Corticospinal Tracts, Forceps Major, and Left Superior Longitudinal Fasciculus (Temporal) as the Quality Indicators for Major Depressive Disorder.

At present, the etiology and pathogenesis of major depressive disorder (MDD) are still not clear. Studies have found that the risk of first-degree relatives of MDD is 2-3 times that of the general population. Diffusion tensor imaging (DTI) has been previously used to explore the pathogenesis of MDD. The purpose of this study is to explore the etiology of MDD by DTI and further to explore the correlation between its clinical characteristics and the structural changes of white matter in the brain. The study included 27 first-episode, drug-naive patients with MDD, 16 first-degree relatives without MDD, and 28 healthy control subjects with no family history of MDD (HC). Results showed that the fractional anisotropy (FA) differences among the three groups were mainly in the left anterior thalamic radiation (LATR), right anterior thalamic radiation (RATR), left corticospinal tracts (LCST), forceps major (FMa), right inferior longitudinal fasciculus (RILF), and left superior longitudinal fasciculus (temporal) (LSLF(T)). Among the 6 sites, LCST, FMa, and LSLF(T) showed significant differences between MDD and First-degree relatives compared to HC. MDD patients had significant emotional symptoms, somatic symptoms, and cognitive impairment. FMa FA was significantly positively correlated with delayed memory score (r = 0.43, P = 0.031), and RILF FA was significantly negatively correlated with the FSS score (r = -0.42, P = 0.028). These results revealed that the white matter characteristics of MDD-susceptible patients were LCST, FMa, and LSLF(T) lesions, all of which may be quality indicators of MDD.

Exploring the Impact of Workplace Violence on the Mental Health of Chinese Correctional Officers: A JD-R Model Approach.

Background: Correctional officers face widespread workplace violence and the resulting overwork that can profoundly damage their physical and mental health. Purpose: This study aims to investigate the mediating role of overwork in the relationship between workplace violence and the manifestation of physical and mental health issues among correctional officers. Methods: This study enlisted 472 eligible participants. Cross-sectional data were obtained using the Chinese version of the Workplace Violence Scale (WVS), while the physical and mental health of correctional officers was evaluated through relevant scales. Analysis involved descriptive statistics, correlation analyses, and tests for mediation models. Results: The study found significant correlations between workplace violence, overwork, and various mental health variables (depression, anxiety, stress, suicidal ideation, and insomnia), with correlations ranging from 0.135 to 0.822 (p < 0.01). Mediation analysis revealed that workplace violence directly impacts correctional officers' physical and mental health (p < 0.001) and also has an indirect effect through overwork (p < 0.023). These findings underscore the substantial impact of workplace violence on the health of correctional officers, both directly and indirectly. Conclusion: Workplace violence and overwork significantly contribute to the physical and mental health challenges faced by correctional officers. Overwork acts as a mediator in the relationship between workplace violence and these health issues. The study suggests addressing workplace violence and mental health issues among correctional officers by increasing their numbers, improving the work environment, and implementing enhanced welfare policies.

Impacts of emissions and meteorological conditions in three different phases of aerosol pollution during 2013-2022 in Anhui, China.

The PM2.5 concentrations in Anhui, which links the Yangtze River Delta region, China's fastest growing economy area, with the Beijing-Tianjin-Hebei (BTH) region, China's most polluted region, are influenced not only by emissions, but also by variation of meteorological conditions. A comprehensive understanding of the relative impacts of meteorology and emissions on heavy pollution in Anhui at three phases (i.e., phase1: from 2013 to 2017; phase2: from 2018 to 2020; phase 3: from 2021 to 2022) from 2013 to 2022, which can provide suggestions for pollution prevention and control in the future. The decrease in pollutant concentrations from 2013 to 2022 is mainly attributed to the continued reduction in emissions, while the year-to-year fluctuations in pollutant concentrations are largely influenced by meteorological conditions. Although emissions are decreasing, the proportions of residential biofuel combustion and cement are increasing. In addition to the effects of prevailing northeasterly and northwesterly winds (i.e., Type1 and Type2), there is also concern about the influences of static weather and neighboring regional transport (i.e., Type5 and Type6), especially in 2016. The contribution of emissions is greater in phase 2 and phase 3, with a 17 % increase compared to phase 1. Overall, approximately 57 % of explosive growth in PM2.5 concentration during the cumulative stage (CS) can be regarded as the feedback effect of the deteriorating meteorological conditions. Therefore, statistical analyses show that limiting PM2.5 concentrations below about 73 µg m-3 would weaken the feedback effects, which in turn would avoid most of the explosive growth processes in the CS of the 60 heavy pollution processes, which can provide a reference for the government to set a target for sustained emission reduction.

Immunoregulatory role of the gut microbiota in inflammatory depression.

Inflammatory depression is a treatment-resistant subtype of depression. A causal role of the gut microbiota as a source of low-grade inflammation remains unclear. Here, as part of an observational trial, we first analyze the gut microbiota composition in the stool, inflammatory factors and short-chain fatty acids (SCFAs) in plasma, and inflammatory and permeability markers in the intestinal mucosa of patients with inflammatory depression (ChiCTR1900025175). Gut microbiota of patients with inflammatory depression exhibits higher Bacteroides and lower Clostridium, with an increase in SCFA-producing species with abnormal butanoate metabolism. We then perform fecal microbiota transplantation (FMT) and probiotic supplementation in animal experiments to determine the causal role of the gut microbiota in inflammatory depression. After FMT, the gut microbiota of the inflammatory depression group shows increased peripheral and central inflammatory factors and intestinal mucosal permeability in recipient mice with depressive and anxiety-like behaviors. Clostridium butyricum administration normalizes the gut microbiota, decreases inflammatory factors, and displays antidepressant-like effects in a mouse model of inflammatory depression. These findings suggest that inflammatory processes derived from the gut microbiota can be involved in neuroinflammation of inflammatory depression.

Gut microbiota composition in depressive disorder: a systematic review, meta-analysis, and meta-regression.

Studies investigating gut microbiota composition in depressive disorder have yielded mixed results. The aim of our study was to compare gut microbiome between people with depressive disorder and healthy controls. We did a meta-analysis and meta-regression of studies by searching PubMed, Web of Science, Embase, Scopus, Ovid, Cochrane Library, ProQuest, and PsycINFO for articles published from database inception to March 07, 2022. Search strategies were then re-run on 12 March 2023 for an update. We undertook meta-analyses whenever values of alpha diversity and Firmicutes, Bacteroidetes (relative abundance) were available in two or more studies. A random-effects model with restricted maximum-likelihood estimator was used to synthesize the effect size (assessed by standardized mean difference [SMD]) across studies. We identified 44 studies representing 2091 patients and 2792 controls. Our study found that there were no significant differences in patients with depressive disorder on alpha diversity indices, Firmicutes and Bacteroidetes compared with healthy controls. In subgroup analyses with regional variations(east/west) as a predictor, patients who were in the West had a lower Chao1 level (SMD -0.42[-0.74 to -0.10]). Subgroup meta-analysis showed Firmicutes level was decreased in patients with depressive disorder who were medication-free (SMD -1.54[-2.36 to -0.72]), but Bacteroidetes level was increased (SMD -0.90[0.07 to 1.72]). In the meta-regression analysis, six variables cannot explain the 100% heterogeneity of the studies assessing by Chao1, Shannon index, Firmicutes, and Bacteroidetes. Depleted levels of Butyricicoccus, Coprococcus, Faecalibacterium, Fusicatenibacter, Romboutsia, and enriched levels of Eggerthella, Enterococcus, Flavonifractor, Holdemania, Streptococcus were consistently shared in depressive disorder. This systematic review and meta-analysis found that psychotropic medication and dietary habit may influence microbiota. There is reliable evidence for differences in the phylogenetic relationship in depressive disorder compared with controls, however, method of measurement and method of patient classification (symptom vs diagnosis based) may affect findings. Depressive disorder is characterized by an increase of pro-inflammatory bacteria, while anti-inflammatory butyrate-producing genera are depleted.

Analysis of factors influencing substance use craving among Chinese substance users.

Background: Substance use has been a serious public safety issue. It not only affects the users' physical and mental health but is also detrimental to social stability. To improve our understanding of this issue, the present study looked to examine the factors influencing substance use craving and develop interventions to reduce craving and relapse among substance users. Materials and methods: A total of 502 substance users were included in this study. Socio-demographic characteristics and substance use-related characteristics were recorded using self-developed forms. With regard to psychological traits, we used the self-esteem scale, the experience of shame scale, and the revised Cheek and Buss shyness scale to assess the self-esteem, shame, and shyness of substance users, respectively. The degree of substance use craving of substance users was assessed using the visual analog scale (VAS). Data were analyzed using independent samples T-test, Pearson correlation analysis, and multiple linear regression analysis, as appropriate. Results: The majority of the substance users were unmarried, employed, and with lower education levels. For substance use-related characteristics, the age of first use was 27.52 ± 8.30 years and the duration of substance use was 12.29 ± 7.72 years. The scores of their self-esteem, shame, and shyness were 25.65 ± 3.19, 57.26 ± 7.82, and 37.8 ± 7.13, respectively. All substance users rated the intensity of their substance use cravings using the VAS, which showed that the mean score was 2.83 ± 1.87. Multiple linear regression analysis showed that substance use craving was positively associated with the frequency of substance use (ß = 0.186, P < 0.001), times of substance rehabilitation (ß = 0.128, P = 0.003), shyness (ß = 0.211, P < 0.001), and shame (ß = 0.091, P = 0.033), and negatively associated with self-esteem (ß = -0.117, P = 0.008). Conclusion: Factors and psychological traits related to substance use are important to account for substance use craving and relapse. Thus, our findings are helpful for a better understanding of the extent of substance use cravings among users and the selection of appropriate interventions to control the craving and relapse.

Characteristics and Mediating Effect of Gut Microbiota With Experience of Childhood Maltreatment in Major Depressive Disorder.

Gut microbiota and childhood maltreatment are closely related to depressive symptoms. This study aimed to analyze the characteristics of gut microbiota in major depressive disorder (MDD) patients with childhood maltreatment experience and explore the correlation between gut microbiota, childhood maltreatment, and depressive symptoms. A total of 37 healthy controls (HCs) and 53 patients with MDD were enrolled, including 18 MDD patients without childhood maltreatment experience and 35 MDD patients with childhood maltreatment experience. The Hamilton's Depression Scale (HAMD-24) and Childhood Trauma Questionnaire-Short Form (CTQ-SF) were used to evaluate their depressive symptoms and childhood maltreatment experience, respectively. The composition of gut microbiota was evaluated using 16S rRNA sequencing. Spearman's correlation analysis was used to evaluate the correlation between different gut microbiota, depressive symptoms and childhood maltreatment. The mediation analysis was used to evaluate the mediating effect of gut microbiota. In the α-diversity analysis, we found that the Simpson index and Pielou's Evenness index differed significantly between MDD patients without childhood maltreatment experience and HCs. In the ß-diversity analysis, principal coordinate analysis (PCoA) showed significant differences between MDD patients without childhood maltreatment experience, MDD patients with childhood maltreatment experience and HCs. Twenty-seven different bacteria were identified through Linear discriminant analysis effect size (LEfSe) analysis at different levels of classification. The analysis of the correlation showed that Blautia, Bifidobacterium, Bacteroides, Roseburia, and Phascolarctobacterium were significantly correlated with HAMD and CTQ-SF scores. The mediation analysis showed that childhood maltreatment had a significant direct effect on the patients' depressive symptoms, and Blautia, Bifidobacterium, Roseburia had a significant mediating effect. The findings of this study suggested that MDD patients with childhood maltreatment experience had different gut microbiota, which might have a mediating effect on the influence of childhood maltreatment on depressive symptoms.