Comparing the Self-Reported Personality Disorder Traits and Childhood Traumatic Experiences Between Patients With Schizophrenia Vs. Major Depressive Disorder

The mediating effect of personality on mental workload and perceived professional benefits of nurses in East China

BACKGROUND

Nursing work is a work with high-stress load, and nurses with different personality may have different subjective feelings about their workload. Therefore, it is particularly necessary to comprehend the perceived professional benefits of nurses engaged in nursing work under high-pressure background, especially during the epidemic period. This study explored the relationship between mental workload, personality, and perceived professional benefits of nurses, and offer advices for the intervention of nurses with different personality to improve their perceived professional benefits.

MATERIALS AND METHODS

In this study, we used a cross-sectional study with a convenient sampling. 473 in-service nurses in Class A tertiary hospitals of Zhejiang Province were recruited by using the NASA Mission Load Index scale of nurses, the brief version of China's Big Five Personality Questionnaire, and the Nurses' perceived professional benefits questionnaire from July 2020 to March 2021. Sample size is 54.91%, and the response rate is 100%. Cronbach's alpha method was used to evaluate the reliability of the instruments. Descriptive statistical analysis was used to describe the socio-demographic data of the subject, and scores for research variables. The Mann-Whitney U-test, and Kruskal-Wallis H rank-sum test were used to compare the scores of perceived professional benefits with different demographic characteristics. Correlation analysis results were presented as the Spearman correlation coefficient. The plug-in v2.16.3 provided by SPSS software was used for linear regression analysis, and the deviation-corrected percentile Bootstrap method was used to examine the mediating role of personality (neuroticism, conscientiousness, agreeableness, openness and extroversion).

RESULTS

Age, length of service in nursing, and record of formal schooling can affect nurses' perceived professional benefits. Mental workload, and perceived professional benefits were all above the median value. The mental workload was negatively correlated with perceived professional benefits (r= -0.129, P < 0.01), positively correlated with neuroticism (r = 0.242, P < 0.01), negatively correlated with agreeableness, openness, extroversion (r=-0.229~-0.221, P < 0.01), and negatively correlated with conscientiousness, but the differences were not significant. Nurses' perceived professional benefits were negatively correlated neuroticism (r=-0.109, P < 0.05), but positively associated with conscientiousness, agreeableness, openness, and extroversion (r = 0.098 ~ 0.326, P < 0.05). The mental workload can directly affect the perceived professional benefits in the direct effects, and can also affect the it through the mediating effect of agreeableness, extroversion, neuroticism, and openness.

CONCLUSIONS

Age, length of service in nursing, and record of formal schooling could affect nurses' perceived professional benefits, and personality played a partial mediating role in the influence of mental workload on the perceived professional benefits. The results of this study can provide strategies for nurses' human resource management. According to different demographic factors, and personality, various measures should be taken to guide nurses to evaluate the mental workload correctly, reduce their emotional pressure, increase job resources, and improve their perceived professional benefits.

The association between adverse childhood events and cluster C personality disorders: A meta-analysis

INTRODUCTION

Studies suggest that adverse childhood events (ACEs) may contribute to the onset and development of cluster C personality disorders. However, the association between ACEs and these disorders remains unclear in terms of consistency across studies and effect magnitude, as well as generalizability within cluster C. The current meta-analysis aimed to examine the associations between ACEs and cluster C personality disorders based on the available literature.

METHODS

Systematic searches were conducted in PubMed, Scopus, Web of Science and PsychInfo. Forty-eight eligible studies were included in the analyses, and pooled effect sizes were estimated both at the level of cluster C and at the level of each specific disorder. Moderation and meta-regression analyses were also conducted.

RESULTS

ACEs were consistently associated with overall cluster C, as well as each of the specific disorders in this cluster. Sources of heterogeneity included type of instrument used to assess ACEs (questionnaires > interviews) and type of instrument used to assess the personality disorders (clinical interviews > questionnaires, as well as their combination with interview). The associations between ACEs and all cluster C personality disorders decreased with age.

CONCLUSIONS

ACEs are consistently associated with all cluster C personality disorders. Future work could approach the mechanisms underlying this association, preferably using longitudinal designs and considering the potential sources of effect variability identified in the present study.

Prevalence of Comorbid Personality Disorder in Psychotic and Non-psychotic Disorders

Introduction: The burden of personality disorders (PDs) in China is large and the focus on mental health services is increasing. However, there is a lack of sufficient evidence regarding the prevalence of comorbid PD in psychotic and non-psychotic disorders, and whether PDs have different distributions. We aimed to investigate the PD comorbidity distribution pattern between psychotic and non-psychotic disorders using a clinical population-based study. Materials and Methods: We conducted a cross-sectional study of 1,497 patients in Shanghai. PDs were screened using the Personality Diagnostic Questionnaire Fourth Edition Plus (PDQ-4+). All patients were interviewed using the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders, fourth edition (DSM-IV) Axis II (SCID-II). We compared the differences in PD comorbidities classified as the 10 types of PDs in the DSM-IV, in 531 patients with psychosis and 966 patients with non-psychotic disorders. Results: More than one-third (37%) of patients with psychotic disorders met the criteria of at least one PD. Approximately half (46%) of patients with non-psychotic disorders met the criteria of at least one PD. Patients with non-psychotic disorders were more likely to meet the criteria of borderline (χ² = 20.154, p < 0.001) and obsessive-compulsive PD (χ² = 21.164, p < 0.001) diagnoses compared to those with psychotic disorders. In contrast, patients with psychotic disorders were more likely to meet the criteria of paranoid (χ² = 11.144, p = 0.001) and schizotypal PD (χ² = 14.004, p < 0.001) diagnoses than those with non-psychotic disorders. Discussion: PD comorbidity is common and comorbidity distribution pattern is varied in patients with psychotic and non-psychotic disorders, implicating the development of specific strategies that could screen and assess PDs in psychiatric clinical practice.