Based on the cognitive-behavioral model of pathological internet use, this study explored the relationship between zhongyong thinking (doctrine of the mean) and internet addiction, and examined the mediation of maladaptive cognition and the moderation of subject. Convenience sampling was used to select 1,518 college students for the questionnaire. The participants were 15–26 years old (M = 19.77; SD = 1.45), including 776 male and 742 female students. The results showed that zhongyong thinking was significantly negatively correlated with maladaptive cognition (r = −0.19, p < 0.001) and internet addiction (r = −0.14, p < 0.001). Maladaptive cognition was significantly positively correlated with internet addiction (r = 0.46, p < 0.001). After controlling for age, gender, zhongyong thinking negatively predicted internet addiction (B = −0.06, p < 0.05), maladaptive cognition positively predicted Internet addiction (B = 0.45, p < 0.001). Zhongyong thinking negatively predicted maladaptive cognition (B = −0.19, p < 0.001). Moreover, the bias-corrected bootstrapping mediation test indicated that the process by which zhongyong thinking predicted Internet addiction through maladaptive cognition was significant, indirect effect = −0.08, SE = 0.01, 95% CI = [−0.11, −0.06]. Subject has no moderating effect on the relationship between zhongyong thinking and maladaptive cognition. The interaction between zhongyong thinking and subject was not a significant predictor of maladaptive cognition (B = 0.05, p > 0. 05). The present results suggest that zhongyong thinking as a traditional Chinese wisdom can still play an important role in regulating young people's behavior in the digital age.

Introduction: Family intimacy—a core facet of family functioning—has been posited to protect college students from negative emotions, yet the mechanisms remain insufficiently specified. This study tested whether social support and psychological resilience independently and sequentially mediate the association between family intimacy and negative emotions. Methods: A cross-sectional survey was administered to college students across 33 provincial-level regions in China (3,589 questionnaires distributed; 3,010 valid; response rate = 83.87%; 37.9% male; age 19–29, M = 20.16, SD = 2.22). Measures included the Family Environment Scale—Chinese Version (family intimacy factor), DASS-21 (negative emotions), the Social Support dimension of the SRHMS, and the CD-RISC-10 (resilience). Internal consistency was acceptable ( α = 0.955, 0.955, 0.900, and 0.949, respectively). Common method bias was assessed using Harman’s single-factor test (first factor = 31.23%). Zero-order correlations were computed and a chained mediation model was estimated with the PROCESS macro (Model 6), controlling for age and gender. Results: All key variables were correlated in the expected directions. Family intimacy negatively predicted negative emotions ( β = −0.051, t = −2.919, p < 0.01) and positively predicted social support ( β = 0.187, p < 0.001) and resilience ( β = 0.043, p < 0.05). Social support negatively predicted negative emotions ( β = −0.143, p < 0.001) and positively predicted resilience ( β = 0.399, p < 0.001); resilience negatively predicted negative emotions ( β = −0.269, p < 0.001). The total effect of family intimacy on negative emotions was −0.143 (95% CI [−0.190, −0.097]). The direct effect was −0.066 (95% CI [−0.111, −0.022]; 46.2% of the total). The total indirect effect was −0.077 (53.8%), comprising three significant pathways: via social support (−0.027, 95% CI [−0.037, −0.018]), via resilience (−0.012, 95% CI [−0.022, −0.002]), and the chain “family intimacy → social support → resilience → negative emotions” (−0.020, 95% CI [−0.026, −0.015]). Discussion: Family intimacy is associated with fewer negative emotions among college students both directly and indirectly through enhanced social support and resilience. These findings underscore the value of family-focused and campus-based strategies that strengthen family communication and support systems to cultivate resilience and mitigate negative emotional states.

Objective: This study aimed to review the research progress on the use of music interventions for improving symptoms of attention deficit hyperactivity disorder (ADHD) and to clarify its potential mechanisms and clinical value. Method: Using the keywords “music interventions” and “ADHD,” we systematically surveyed empirical studies published in the past decade and summarized evidence from four domains: neuro-mechanisms, attention, impulse control, and emotion regulation. Results: Music interventions enhances sustained attention, reduces hyperactive and impulsive behaviors, and alleviates negative emotions such as anxiety and irritability by activating reward pathways, increasing inter-hemispheric brain synchrony, and modulating dopaminergic and noradrenergic function. Both active instrumental performance and passive music listening produce benefits, and combined use with cognitive-behavioral therapy can further improve efficacy. Conclusion: As a safe, low-side-effect, and highly acceptable non-pharmacological approach, music interventions can effectively relieve core ADHD symptoms. Future studies should establish standardized and individualized protocols through large-sample randomized controlled trials to facilitate clinical translation.