Tianyang Zhang

Objective: To examine individual and mixture associations of PFAS and OPEs with depressive and anxiety symptoms among college freshmen. Methods: This cross-sectional study included 1,247 Chinese freshmen with serum PFAS/OPE measurements and SDS/SAS scores. Associations were estimated using multiple linear regression, WQS regression, and BKMR, adjusting for demographic and lifestyle covariates. Results: In adjusted WQS models, each one-quartile increase in the mixture index was associated with higher depression (β=1.42; 95% CI, 0.28-2.56) and anxiety scores (β=1.96; 95% CI, 0.77-3.15). BKMR showed positive but imprecise mixture trends and identified PFHpA as a relatively important contributor. Conclusions: PFAS/OPE co-exposure was associated with greater depressive and anxiety symptoms, supporting mixture-based assessment of environmental mental health risks.

Biological motion exhibits bistable characteristics when presented in the depth dimension, and sound, as an important multisensory cue, can modulate this b

Medical students often face heavy pressure, which can contribute to mental health problems. This study examined the association between perceived stress and social anxiety, with sleep quality and affective empathy as mediators. A total of 1065 medical students completed the Perceived Stress Scale (PSS), the Chinese version of the Social Anxiety Questionnaire-Adults (CSAQ-A), the Pittsburgh Sleep Quality Index (PSQI), and the Interpersonal Reactivity Index (IRI). The results revealed that perceived stress was positively associated with social anxiety, and this association was jointly mediated by sleep quality and affective empathy. These findings provide empirical evidence for the development of interventions to reduce social anxiety among medical students.

Adverse childhood experiences (ACEs) are widely recognized for their impact on an individual's prosocial behaviors. However, the specific relationship between ACEs and public service motivation (PSM)-a form of prosocial behavior within the public domain-remains insufficiently understood. Considering the crucial role PSM plays in psychological and social development, this study aimed to investigate the association between ACEs and PSM, with a particular focus on the mediating effect of sleep duration. Furthermore, in the context of urban-rural disparities in China, the present study will explore the moderating influence of urban-rural status on this relationship. This study used cross-sectional data from a 2023 nationwide survey conducted in China, involving 30,054 participants (female 50.1%). This study used modified Poisson regression with robust variance to examine the association between exposure to seven types of ACEs and the risk of low PSM. The study also explored the mediating role of sleep duration and the moderating role of urban-rural status in the relationship between ACEs and PSM. Exposure to all seven different types of ACE was significantly associated with an increased risk of low PSM. In addition, ACE scores negatively predicted PSM outcomes (B = -0.41, p ≤ 0.001), and the effect of ACEs on PSM scores was mediated by sleep duration. All seven types of ACEs increased the risk of low PSM to some extent. ACEs negatively predicted PSM indirectly through sleep duration, while urban-rural status moderated the relationships among ACEs, sleep duration, and PSM. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Objectives: Myopia is considered to be associated with depressive symptoms. Perceived parental control plays a critical role in children and adolescents’ mental health. The present study aimed to examine the role of myopia in depressive symptoms and whether parental control contributes to depressive symptoms via vision-related quality of life (QoL) in myopic students. Methods: This study investigated the mediating role of vision-related QoL between parental control and depressive symptoms among Chinese children and adolescents with myopia. A total of 2014 college freshmen in China were included. Correlation analysis and mediation analysis were conducted. Mediation models were used to assess the potential mechanism of vision-related QoL in the association between parental control and depressive symptoms. Results: In our sample, participants with myopia were less likely to develop depressive symptoms than those without myopia (P = 0.01). Subsequently, analysis within the myopic group revealed that vision-related QoL significantly mediated the relationship between parental control and depressive symptoms, accounting for 15.69% (maternal control) and 18.86% (paternal control) of the total effect. Conclusions: This study highlights the important role of myopia for depressive symptoms in college freshmen and demonstrates that vision-related QoL significant mediates the relationship between parental control and depressive symptoms.

Evidence suggested that stimulus-response bindings could occur automatically as a result of the co-occurrence of a stimulus and a response, without requiring additional attentional involvement for features or objects. Considering that stimuli used in previous research often involved high-discriminability features processed automatically, the current study investigated the role of feature types in attention-modulated stimulus-response binding. Using the classic partial repetition cost (PRC) paradigm, the study manipulated the task relevance of features during the binding phase to modulate feature-based attention, with color and Landolt-C gap orientation as experimental features. The study found that when the stimulus feature was color (a high-discriminability feature), no significant difference was observed in the PRC effect during the retrieval phase, regardless of whether attention was directed to the color during the binding phase. When the stimulus feature was the gap orientation of the Landolt-C (a fine-grained feature), the PRC effect appeared during the retrieval phase, regardless of attention to gap orientation during the binding phase. However, the PRC effect was stronger when attention was directed to gap orientation, indicating that feature-based attention during the binding phase enhanced the binding strength between the gap orientation of the Landolt-C and the response. This study suggests that stimulus-response binding occurs automatically, but its binding strength is modulated by attention, with the type of stimulus feature playing a critical role in this process. Stimulus-driven and goal-driven factors jointly influence the strength of stimulus-response binding.

Previous research has indicated that adverse childhood experiences (ACEs) are associated with family health in adulthood. However, the underlying mechanisms of this relationship have not been explored in depth. The present study aimed to investigate the relationship between ACEs and family health in adulthood, as well as the mediating effect of anxiety symptoms and the moderating effect of perceived social support. A total of 30,054 Chinese adults (mean age = 43.41) completed questionnaires regarding ACEs, family health, anxiety symptoms, and perceived social support. The 24.0 PROCESS macro was utilized to conduct mediation and moderation analyses. The results revealed a negative association between ACEs and family health in adulthood, and this association was partially mediated by anxiety symptoms. Furthermore, perceived social support moderated the direct and indirect pathways between ACEs and family health. The stress-buffering effect of perceived social support can protect adults from the effects of ACEs. Interestingly, we found a reverse stress-buffering effect of perceived social support, which could exacerbate the adverse effects of ACEs, particularly when adults are exposed to higher levels of ACEs. The findings contribute to understanding the mechanisms of anxiety symptoms and perceived social support in the relationship between ACEs and family health. Our findings can provide insights for intervention programs or strategies aimed at preventing or mitigating the adverse effects of ACEs.

Objective Machine learning (ML) has been reported to have better predictive capability than traditional statistical techniques. The aim of this study was to assess the efficacy of ML algorithms and logistic regression (LR) for predicting depressive symptoms during the COVID-19 pandemic.Methods Analyses were carried out in a national cross-sectional study involving 21,916 participants. The ML algorithms in this study included random forest (RF), support vector machine (SVM), neural network (NN), and gradient boosting machine (GBM) methods. The performance indices were sensitivity, specificity, accuracy, precision, F1-score, and area under the receiver operating characteristic curve (AUC).Results LR and NN had the best performance in terms of AUCs. The risk of overfitting was found to be negligible for most ML models except for RF, and GBM obtained the highest sensitivity, specificity, accuracy, precision, and F1-score. Therefore, LR, NN, and GBM models ranked among the best models.Conclusion Compared with ML models, LR model performed comparably to ML models in predicting depressive symptoms and identifying potential risk factors while also exhibiting a lower risk of overfitting.