Psychiatric reactions among the non-exposed population who viewed disaster-related short videos: Evidence from the 2021 Henan floods

Anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence: a network analysis

BACKGROUND

Horizontal violence can cause serious mental health problems for nurses, particularly anxiety, depression, and post-traumatic stress disorder. However, the intrinsic linkage mechanism between mental symptoms of anxiety, depression, and post-traumatic stress disorder in nurses exposed to horizontal violence is unclear. This study aims to elucidate the characteristics of anxiety, depression, and post-traumatic stress disorder networks among nurses with horizontal violence exposure.

METHODS

Data for this cross-sectional study were obtained from the baseline portion of a short longitudinal survey conducted at four tertiary hospitals in Shandong Province, China. A total of 510 nurses with horizontal violence exposure completed the General Information Scale, the Negative Acts Questionnaire, the Seven-item Generalized Anxiety Disorder Scale, the Nine-item Patient Health Questionnaire, and the Four-item SPAN. The network model was constructed using network analysis. The expected influence and the bridge expected influence of nodes were calculated. The stability and accuracy of the network were estimated.

RESULTS

The results show that A4 (Trouble relaxing) and P1 (Startle) had the highest expected influence in the network. D9 (Suicidality ideation) and A5 (Restlessness) were the key bridge symptoms.

CONCLUSIONS

"Trouble relaxing", "Startle", "Suicidality ideation", and "Restlessness" are all mental symptoms that need to be urgently improved the most in nurses exposed to horizontal violence. Nursing administrators and policymakers should implement mental health intervention programs for these symptoms as early as possible to maximize nurses' mental health.

Modeling perceived parental attitudes and mental well-being in Chinese young LGBTQ+ individuals: Investigation of weekly diary data using dynamic network analysis

Existing literature has reported negative parental attitudes toward LGBTQ+ individuals associated with their LGBTQ+ identity concealment and mental well-being. However, limited research has explored the dynamic network changes using intensive, repeated weekly diary data. This study aimed to model the associations between perceived parental attitude, anxiety, depression, and LGBTQ+ individuals' identity concealment within dynamic network analysis (DNA); 103 LGBTQ+ youth participated in the study. Participants' perceived parental attitudes toward LGBTQ+ identity and LGBTQ+ identity concealment, depression (by the 9-item Patient Health Questionnaire), and anxiety (by the 7-item Generalized Anxiety Disorder Questionnaire) were measured. Each was assessed four times at 1-week intervals for four consecutive weeks. The graphical vector autoregression explored the DNA of the internal relationships among perceived parental attitudes, identity concealment, depression, and anxiety. Findings in the between-subjects network revealed that poor perceived parental attitudes toward sexual and gender minorities were positively associated with depression, anxiety, and identity concealment. The contemporaneous network showed that the "expression" (one's identity concealment) was the direct trigger of "suicide" (one's depressive symptom), indicating depression was initiated earlier and subsequently exacerbated a sequence of other psychiatric reactions. The temporal network indicated that only parents' "general attitude" reduced participants' concealment ("self-disclosure"), which simultaneously stimulated mental benefits.

Network structure of the links between extracurricular time-use and delinquent behaviors: Moving forward and beyond linear relations

Using psychological network analysis, this study explored the heterogeneity of the network structure between extracurricular time-use and delinquency using a nationally representative longitudinal survey of at-school students in China (N = 10,279, 47.3% female, average age 13.6, 91.2% Han ethnicity). The results are threefold: First, time stimulation of activities occurs on weekdays, while time displacement and stimulation occur on weekends. Second, delinquent behaviors are positively correlated, forming a problem behavior syndrome. Smoking or drinking is the central delinquent behavior. Third, negative consequences of specific time-use behaviors are more likely to occur on weekends than on weekdays, and time-use behavior may function differently on weekdays versus weekends. Among them, going to coffeenets or game-centers serves as the bridge with the highest potential of triggering delinquency.

Dynamic structure of posttraumatic growth among victims of the 2021 Henan floods: A 6-month, three-wave longitudinal study

Posttraumatic growth (PTG) following traumatic events is a dynamic and transformational process. However, its dynamic structure is currently unknown. The study aimed to estimate the dynamic structure of PTG at the nuance level based on PTG measurement items using network analysis. A three-wave longitudinal study was conducted from July 20, 2021, to January 30, 2022, among the victims experiencing the 2021 Henan floods. The final sample (n = 297) completed reports of PTG after 0, 3, and 6 months of the disaster. We employed the graphical vector autoregressive model approach to estimate extended network models. Contemporaneous network results revealed strong positive associations between domains of PTG in the same measurement window, especially between new possibilities and personal strength. Moreover, temporal network results-the internal interplays among PTG items across measurement windows-revealed that the domain of relating to others plays a central role in the dynamics of PTG. Although other domains predicted an increase in relating to others, relating to others inhibited the development of other domains, especially new possibilities and personal strength. Our study identifies the culture-specific process of PTG and provides empirical evidence on the explanatory models of PTG and the Janus-Face model of PTG.

Psychometric Properties of the Chinese Version of the 10-Item Social Provisions Scale in Chinese Populations

This study performed a cross-cultural validation of the Chinese version of the 10-item Social Provisions Scale (C-SPS-10) in Chinese populations. Study 1 examined the factor structure, internal reliability, discrimination, criterion validity, and network structure of C-SPS-10 by utilizing a sample of disaster victims in the 2021 Henan floods. Study 2 substantiated the findings of Study 1 in a general population sample. Measurement invariances between populations and between sexes in terms of the C-SPS-10 were also tested using the network approach. Study 3 used three samples to examine the test-retest reliability of the C-SPS-10 over three different time periods. The general results showed that the C-SPS-10 has excellent factor structure, internal reliability, discrimination, and criterion validity. The C-SPS-10 was confirmed to have good psychometric properties. Although the full scale functions well, problems may exist at a domain level. Moreover, the full scale of the C-SPS-10 was varied as a useful tool to capture trait-like characteristics of individuals' perceptions of social support for the general population.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10862-023-10047-7.

Multifarious Linkages Between Personality Traits and Psychological Distress During and After COVID-19 Campus Lockdown: A Psychological Network Analysis

BACKGROUND

The novel coronavirus disease pandemic is still proliferating and is not expected to end any time soon. Several lockdowns and social distancing measures might be implemented in the future. A growing body of research has explored the effect of personality on individuals' psychological wellbeing during the pandemic. However, most prior studies have not discussed the dynamic and reciprocal transactions between personality and psychological distress in various situations. Therefore, this study aims to explore the internal mechanisms of the ways in which certain personality traits triggered specific symptoms during and after college lockdown, by using network analysis.

METHODS

Based on survey data from 525 university students in China, the study detected the connection between individual personality and psychological distress through network analysis. Of the participants, 70.1% were female, and 20.9% were male. The mean age of the participants was 19.701 (SD = 1.319) years. We estimated networks via two steps: First, two networks that only contain the Big Five personality traits and the six symptoms of psychological distress during and after the lockdown measure were estimated. Second, we add control variables and re-estimated the networks to check whether the linkages among the Big Five personality traits and the six symptoms of psychological distress observed in the first step were stable. Moreover, we employed strength centrality as the key indicator to present the potential significance of diverse variables within a network.

RESULTS

The findings demonstrate that, first, "depress" was the central symptom in the network during the college lockdown, while "efforts" was the central symptom after the lockdown. Second, the symptoms of "restless" and "worthless" significantly declined after the lockdown. Third, we found that there is an internal mechanism through which personality affected certain psychological symptoms during and after lockdowns. Specifically, neuroticism triggered certain symptoms during and after the lockdown, while extraversion and conscientiousness suppressed certain symptoms. Substantial evidence on internal linkages is imperative to develop effective interventions.

CONCLUSION

This study explores the internal mechanisms of the ways in which certain personality traits trigger specific symptoms. Overall, our results provide empirical evidence that personality traits play a key role in how individuals with certain traits respond to college lockdown during a pandemic. The study makes a significant contribution to the literature because it is among the first few studies which explores the effects of personality traits on individual psychological distress using network analysis during the pandemic.