Background: The prevalence of family dysfunction, anxiety and depression is high in people with disabilities due to long-term activity constraints and social difficulties. Recently, although studies have attempted to provide guidance for family therapy by focusing on the relationship between family function and negative emotions, the specific effects of improved family function during family therapy on alleviation of anxiety and depressive symptoms have been obscured. Thus, this study attempted to elucidate the impact of specific family functioning on specific symptoms of anxiety and depression through network analysis.Methods: Family APGAR Index Questionnaire (APGAR), Generalized Anxiety Scale (GAD-7), and Patient Health Questionnaire Depression Scale (PHQ-9) were used to survey 897 adults with disabilities in Sichuan Province. Meanwhile, network analysis for studying the relationship between anxiety, depression and family functioning among the disabled via R software.Results: The network analysis showed that (1) Nodes PHQ4 (“Energy”), APGAR3 (“Growth”), GAD1 (“Nervousness”) and GAD4 (“Relaxing Trouble”) were central nodes in the network model; (2) Bridge nodes linking family function, anxiety and depressive symptoms in the sample were PHQ9 (“Suicide ideation”), PHQ6 (“Worthlessness”), GAD1 (“Nervousness”) and GAD5 (“Restlessness”); (3) The node APGAR5 (“Resolve”) directly connects the bridge symptoms PHQ9 (“Suicide ideation”) and PHQ8 (“Motor”).Conclusion: This study suggests that therapists could target the resolve of family members during family therapy to reduce suicidal ideation and enhance the level of activity of people with disabilities, thereby improving the network of anxiety and depression symptoms and alleviating negative emotions of people with disabilities.

We examined the association between social support from adult children (SSAC) and depressive symptoms among Chinese older adults, as well as the moderated mediation mechanism with the parent–child relationship as a mediator and with emotion regulation strategies (cognitive reappraisal and expressive suppression) as moderators. With a cross-sectional design, 356 Chinese older adults completed our questionnaire survey. Results revealed the negative association between SSAC and depressive symptoms among Chinese older adults, and the parent–child relationship mediated this association. In addition, the indirect effect of SSAC on depressive symptoms through the parent–child relationship depended on emotion regulation strategies. Specifically, the parent–child relationship mediated the association between SSAC and depressive symptoms only for older adults with less cognitive reappraisal or more expressive suppression. Our study highlighted the complementary role of family and individual factors in ameliorating older adults’ depressive symptoms.

One year after the outbreak of COVID-19, medical staff are facing high anxiety due to multiple work stresses. Social support has become a protective factor for healthcare workers' anxiety symptoms, but the exact mechanism of action is not yet known. Based on the buffering model, this study aims to explore the impact and mechanisms of action of healthcare workers' perception of social support (PSS) on anxiety symptoms in the context of the epidemic and to further explore how the emotional characteristics of risk perception (ECRP) and resilience play their influence. To this end, this study measured 839 healthcare workers using an online questionnaire from 4 February to 1 March 2021. The results found that PSS among healthcare workers negatively predicted anxiety symptoms. ECRP partially mediated the relationship between PSS and anxiety symptoms, and resilience moderated the first half of the pathway in the model of PSS through ECRP on anxiety symptoms. The emotional characteristics of risk perception of COVID-19 in individuals with high resilience decrease significantly with the increase of PSS, while this change is not significant in individuals with low resilience.

In neuroscience and psychology research, the Pearson correlation coefficient is widely used for feature selection and model performance evaluation, particularly in studies examining relationships between brain activity and psychological behavior indices. However, when predicting psychological processes using connectome models, the Pearson correlation has three main limitations: (1) it struggles to capture the complexity of brain network connections; (2) it inadequately reflects model errors, especially in the presence of systematic biases or nonlinear error; and (3) it lacks comparability across datasets, with high sensitivity to data variability and outliers, potentially distorting model evaluation results. To better assess model performance, it is crucial to combine multiple evaluation metrics, such as mean absolute error (MAE) and root mean square error (MSE), which capture different aspects of model quality. Additionally, baseline comparisons, such as using the mean value or a simple linear regression (LR) model, provide an essential reference for evaluating the added value of more complex models. This approach offers a more robust and comprehensive analysis of functional connectomes and psychological processes.

Purpose: This study explores the status of pandemic fatigue, predictors, and their mechanisms of action based on a stress-response framework and a parallel model of future-oriented response. Patients and methods: Study 1 investigated 8426 Chinese adult residents’ understanding of and willingness to cooperate with the pandemic prevention and control policies and Study 2 surveyed 1635 Chinese residents on their activeness of pandemic prevention and control (APPC), pandemic risk perception, perceived stress, and future-oriented coping. Results: Study 1 found that public understanding of and willingness to cooperate with prevention policies were significantly lower in 2022 than in 2020 and 2021. Study 2 found that risk perception negatively predicted the APPC; perceived stress and preventive coping significantly mediated the relationship between risk perception and APPC; but perceived stress and proactive coping did not significantly mediate the relationship between risk perception and APPC. Conclusion: This revealed an increase in public fatigue in the third year of the pandemic. Pandemic fatigue can be predicted by pandemic risk perception, but the direct pathway of action is not significant and requires the mediation of perceived stress and preventive coping.