Objective: Generation Z refers to the population born between 1995 and 2009. This study aims to develop the Generation Z Vocational Values Inventory (GZVVI) for college students in China and examine its reliability and validity.
Methods: The theoretical structure and initial items of the scale were determined through a review of literature and an analysis of interview data. A pilot inventory was administered to 399 Generation Z college students, and item analysis and exploratory factor analysis were used to form the final version of the inventory. Subsequently, the final version of the inventory was administered to 678 Generation Z college students, and confirmatory factor analysis and reliability and validity tests were conducted.
Results: GZVVI comprises 51 items with 17 vocational value dimensions, which are classified into two factors: intrinsic values and extrinsic values. The internal consistency coefficients for both the overall inventory and each factor ranged from 0.919 to 0.960. Confirmatory factor analysis showed a good fit index for the two-factor model, with χ²/df=4.961, CFI=0.954, TLI=0.931, SRMR=0.050, RMSEA=0.076. Additionally, significant positive correlations were found between the total score of the GZVVI and the intrinsic vocational values, extrinsic vocational values, and the dimensions of academic engagement and career adaptability, indicating good criterion validity for the questionnaire.
Conclusion: The GZVVI had good reliability and validity and can be used for evaluating the vocational values of Generation Z college students in China.

Objective: To observe changes on mental health of college students during and after the COVID-19 epidemic, to understand the impact of the epidemic on their mental health, and to make mental health education more targeted and effective.
Methods: A longitudinal survey was conducted on 2468 college students over a four-year period (April 2021-April 2024) using the Symptom Checklist-90 (SCL-90) and the Psychological Resilience Scale.
Results: The mean scores of SCL-90 and the nine factors from 2021 to 2023 were higher than in 2024, with significant differences (p<0.01). Except for somatization, depression, and paranoia, the mean scores for the other factors showed a significant decreasing trend year by year (p<0.01). There were significant differences in the total score of psychological resilience and the scores of its five sub-factors from 2021 to 2024 (p<0.01). Except for positive cognition, the scores for the other four factors were highest in 2024, with significant differences compared to 2023 (p<0.01).
Conclusion: The epidemic has had a negative impact on the mental health of college students, with some lasting effects. By 2024, the mental health and psychological resilience of students have gradually improved, but positive cognition has not yet recovered. Future mental health education should focus on improving psychological resilience, developing students’ emotional regulation skills, and fostering positive cognition.

Objective: To analyze the factors affecting depressive symptoms in empty nesters and to construct and validate a risk prediction model.
Methods: Based on the 2020 China Health and Retirement Longitudinal Study (CHARLS) database, 3,139 empty nesters were include. “The Center for Epidemiological Studies Depression Scale-10 was used to assess depressive symptoms.” between included and independent influencing factors were identified using the χ² test and multivariate logistic regression analysis. A risk prediction model was then constructed and validated.
Results: The prevalence of depressive symptoms among empty nesters was 37.4%, The logistic regression analysis revealed that factors such as gender, place of residence, education level, chronic disease status, ability to live independently, and satisfaction with relationships with children had a significant impact on the likelihood of depressive symptoms. The area under the receiver operating characteristic (ROC) curve (AUC) for the model was 0.727 (95% CI: 0.709-0.745). The bootstrap method was used to resample the data 1,000 times, yielding a mean AUC of 0.727.
Conclusion: Constructing risk prediction models with good discrimination and calibration can provide some guidance for the assessment and prevention of depressive symptoms in empty nesters.

Civil servants' innovative behavior is of great significance to improving the service effectiveness and operation efficiency of the public sector. In response to practical needs, academic circles have been relatively active in the study of civil servants' innovative behavior in recent years, paying particular attention to the influencing factors. Based on CiteSpace visual analysis, this study conducted a bibliometric analysis of research papers on the theme of "civil servant innovation behavior" in the Web of Science database and constructed a knowledge graph of the research on the influencing factors. The results show that: (1) After nearly ten years of development, the research on the innovative behavior of civil servants is on the rise in general, and has now become an important topic of positive organizational behavior, with a group of core authors and research institutions exerting considerable academic influence. (2) From the perspective of research hotspots, current studies primarily focus on transformational leadership and job satisfaction as high-frequency keywords. The influencing mechanisms of civil servant innovation behavior are mainly explored from the organizational level (e.g., organizational environment, leadership style) and the individual level (e.g., emotions, motivation, personality traits). (3) In terms of research trends, studies in this field have shown distinct phases: From 2011 to 2015, research mainly focused on how organizational-level factors (such as organizational climate and leadership style) influence civil servant innovation behavior. From 2016 to 2017, the focus shifted toward exploring mediating factors (such as psychological empowerment and job engagement) that affect civil servant innovation behavior. From 2018 to the present, research has increasingly focused on individual-level factors, including self-efficacy and job satisfaction, and their impact on innovation behavior. (4) Looking ahead, future research can be further expanded and refined in terms of research subjects, methodologies, and content to enrich the study framework of civil servant innovation behavior.

Anxiety is a state of heightened sensitivity to potential threats, accompanied by distress, unease, and somatic responses, affecting individuals’ lives. The interaction between the heart and brain is an important pathway for understanding the mechanisms of anxiety. The James-Lange theory of emotion, Damasio’s somatic marker hypothesis, and the neurovisceral integration model emphasize the close connection between emotions and the body, exploring how heart-brain interaction influences anxiety. The input leading to anxiety includes exogenous sensory input and endogenous psychological construction. The heart not only responds to emotions but also influences brain regions related to emotional processing through the regulation of heart rate variability (HRV). With the advancement of computational neuroscience modeling techniques, it has become increasingly feasible to empirically investigate the emergence and intervention of anxiety from the perspective of cardiocerebral interaction. Intervention strategies for anxiety can be explored along two pathways. From brain to heart, brain stimulation can regulate central neural networks associated with anxiety to implement interventions. From heart to brain, this pathway focuses on biofeedback training to enhance individuals’ ability to regulate autonomic nervous system responses, thereby positively alleviating anxiety symptoms. In the future, it is essential to integrate multimodal heart-brain data and examine the mechanisms and treatment of anxiety from a mind-body integrated perspective, providing multidimensional insights for clinical practice.

It is crucial to clearly define the competencies required for professionals at different stages based on the growth and development requirements of clinical and counseling psychology professionals. Based on key milestones associated with these stages, educational programs can establish minimum competency requirements for each stage, which will help deepen and advance the culture of competence in clinical and counseling psychology in China. This article summarizes the developmental stages in counseling psychology competence models proposed by other countries, analyzes the current state of stage classification in China, and proposes a four-stage competency development model for Chinese clinical and counseling psychology professionals: the trainee stage, the internship stage, the novice stage, and the proficient stage. The article outlines the characteristics and specific requirements of each stage across six dimensions: key developmental milestones, knowledge and skills, levels of practice, competency performance and gaps, client characteristics, and supervision needs, with aims to facilitate the assessment of competence in clinical and counseling psychology trainees and professionals according to their developmental stages in future practice.

Undergoing breast cancer surgery has a significant and profound impact on women's physical and mental health, as well as their work and daily lives. Women after breast cancer surgery often experience low psychological resilience. Feminist therapy emphasizes the influence of social and cultural factors on women and employs key techniques such as gender role analysis, power analysis, confidence training, self-disclosure, reconstruction and redefinition, bibliotherapy, and cultural analysis. These methods help individuals recognize the societal impact on gender roles, explore their inherent positive potential, and enhance their psychological resilience. In this study, feminist therapy was applied in a case intervention for a postoperative breast cancer patient, aiming to empower the client, improve her quality of life, and explore effective feminist therapy intervention methods tailored for this population. Additionally, this study seeks to contribute more case examples and experiential insights for the application of feminist therapy theory in China.

Eileen Chang was a legendary modern Chinese female writer. With her unique literary style and aloof personality, her choices in love and life were puzzling. One key to these mysteries was her dilemma within her family of origin. From the perspective of psychobiography, this study summarizes the dilemma as “escaping from her father’s house,” which consists of two sets of contradictions. She was initially caught in a conflict between “gaining her father’s appreciation” and “escaping her decadent father.” Subsequently, she faced another conflict between “turning to her independent mother who led a modern life” and “feeling disappointed by her cold and calculating mother.” She then repeated this dilemma in literature and love, respectively.