Background: Military personnel experience prolonged exposure to high-stress environments. Positive coping styles can assist in maintaining their mental and behavioral well-being, whereas negative coping styles cannot. Health behavior change theory specifies that an individual can transition from a negative to a positive coping style. The psychological resilience concept may prove vital in this transition. Methods: In a longitudinal study design, two questionnaires were administered to 233 military personnel twice, the first at T1 in April 2023 and the second at T2 in July 2023. The questionnaire measured individual negative coping style, positive coping style and psychological resilience. Results: The data showed that the negative coping style at T1 negatively predicted the level of psychological resilience at T2 (γ= - 0.26, p < 0.001) and the positive coping style at T2 (γ= - 0.16, p < 0.001). The level of psychological resilience at T1 positively predicted the positive coping style at T2 (γ= 0.22, p < 0.01). Psychological resilience played a mediating role between negative coping style and positive coping style. In addition, there was an interaction between psychological resilience and positive coping style in military personnel at the two time points. Conclusion: The negative coping styles that presently exist among military personnel have the potential to diminish their future positive coping styles by lowering their psychological resilience. This highlights the need to focus on the development and training of psychological resilience for military personnel, as it can effectively counteract negative coping styles and promote positive coping styles.

Expressive suppression is an abnormal emotion regulation strategy, and its relationship with rumination traits is unclear. In this study with 395 participants in China (33.9% female, Mean age = 21.22, SD = 2.11), we estimated the association between expressive suppression and rumination traits, using the Rumination Response Scale (RRS) and the Emotion Regulation Questionnaire (ERQ) respectively. Considering there may be complex correlations between different behavioral symptoms of expressive suppression (“Keeping emotions to myself”, “Inhibiting positive emotion responses”, “Controlling emotions by not expressing them”, “Inhibiting negative emotion responses”) and different subtypes of rumination traits, this study employed a symptom-based network analysis method to uncover the differential association between rumination traits and expressive suppression, and the key symptoms linking the two. The study found the S3 node (Controlling emotions by not expressing them) had significant positive correlations with symptom rumination, brooding, and reflective pondering. Among the network, the S3 node acts as a bridge between two variables. This suggests that interventions targeting the S3 symptom may improve rumination traits. The present study was a cross-sectional study with limitations in revealing the causal relationships between expression suppression and rumination traits. Future studies could employ longitudinal tracing methods to explore the relationship between them.

(1) Background: The combined n-back + Go/NoGo paradigm was used to investigate whether audiovisual interactions interfere with or facilitate WM. (2) Methods: College students were randomly assigned to perform the working memory task based on either a single (visual or auditory) or dual (audiovisual) stimulus. Reaction times, accuracy, and WM performance were compared across the two groups to investigate effects of audiovisual interactions. (3) Results: With low cognitive load (2-back), auditory stimuli had no effect on visual working memory, whereas visual stimuli had a small effect on auditory working memory. With high cognitive load (3-back), auditory stimuli interfered (large effect size) with visual WM, and visual stimuli interfered (medium effect size) with auditory WM. (4) Conclusions: Audiovisual effects on WM follow the resource competition theory, and the cognitive load of a visual stimulus is dominated by competition; vision always interferes with audition, and audition conditionally interferes with vision. With increased visual cognitive load, competitive effects of audiovisual interactions were more obvious than those with auditory stimuli. Compared with visual stimuli, audiovisual stimuli showed significant interference only when visual cognitive load was high. With low visual cognitive load, the two stimulus components neither facilitated nor interfered with the other in accordance with a speed–accuracy trade-off.

Background: This research analyses the relations between anxiety symptoms from the network perspective to deepen the understanding of anxiety in front-line medical staff during the COVID-19 pandemic and can also provide a reference for determining potential goals of clinical interventions. Methods: A convenience sampling was adopted, and the Generalized Anxiety Disorder 7-item scale (GAD-7) was administered to front-line medical staff through online platforms. A regularized partial correlation network of anxiety was constructed and then we evaluated its accuracy and stability. The expected influence and predictability were used to describe the relative importance and the controllability, using community detection to explore community structure. The gender-based differences and the directed acyclic graph were implemented. Results: The connections between A1 “Feeling nervous, anxious or on edge” and A2 “Not being able to stop or control worrying”, A6 “Becoming easily annoyed or irritable” and A7 “Feeling afraid as if something awful might happen”, etc., were relatively strong; A2 “Not being able to stop or control worrying” and A3 “Worrying too much about different things” had the highest expected influence, and A2 “Not being able to stop or control worrying” had the highest predictability. The community detection identified two communities. The results of the gender network comparison showed the overall intensity of the anxiety network in women was higher than that in men; DAG indicated that A2 “Not being able to stop or control worrying” had the highest probabilistic priority; the lines from A2 “Not being able to stop or control worrying” to A1 “Feeling nervous, anxious or on edge” and A2 “Not being able to stop or control worrying” to A7 “Feeling afraid as if something awful might happen” represented the most important arrows. Conclusion: There exist broad interconnections among anxiety symptoms of front-line medical staff on the GAD-7. A2 “Not being able to stop or control worrying” might be the core symptom and a potential effective intervention target. It was possible to bring an optimal result for the entire GAD symptom network by interfering with A2 “Not being able to stop or control worrying”. GAD may have two “subsystems”. The modes of interconnection among anxiety may be consistent between genders.

Purpose The prevalence of depression is higher in women than in men. This may be because women are more prone to rumination. However, there is a lack of evidence about which rumination symptoms are most strongly associated with depression in women. According to the network theory of mental disorders, the complex interaction between different subtypes of rumination and depressive symptoms is confusing. We utilized the network analysis method to examine the connection between different subtypes of rumination and depressive symptoms across different gender groups and to investigate gender differences in rumination-depression networks. Methods 798 Chinese university students (50.5% males and 49.5% females) completed The Rumination Response Scale (RRS) and The Beck Depression Inventory-Second Edition (BDI-II) scales via an online survey platform for this study. The networks were analyzed and built with scale dimensions as nodes. Results The line graph indicates that the B (Brooding) and N (Negative attitude) nodes had the highest BEI values in the female group, whereas the R (Reflection) and N nodes had the highest BEI values in the male group. Conclusion The findings revealed that males and females in the rumination-depression network had distinct rumination bridge nodes (male: Reflection; female: Brooding) but had a common depression bridge node (Negative attitude). The connection between different types of rumination and depressive symptoms was more pronounced in the female network. The findings enhance comprehension of gender disparities in the co-occurrence of rumination and depression, offering specific subtypes for targeted intervention in rumination.