Chaoqun Dong

Background: Nurses constitute the largest professional group in China’s healthcare system; however, nurses face a substantial burden of mental health challenges and adverse behavioral outcomes. Systematic longitudinal data on the psychological and behavioral health of Chinese nurses remain limited, constraining the development of evidence-based policies and interventions. Methods: The Psychology and Behavior Investigation of Chinese Nurses (PBICN) is a large-scale, multicenter prospective cohort study with a target sample size of approximately 100,000 registered nurses. Registered nurses currently employed in primary, secondary, and tertiary hospitals were recruited through multistage stratified cluster sampling across all 33 provincial-level administrative divisions in China, using a stratified recruitment ratio of 1:6:10. Data were collected biennially through electronic questionnaires distributed via a dedicated WeChat Official Account. The questionnaire covers eight core domains: basic personal information, occupational details, personal health status, psychological dimensions, behavioral dimensions, workplace environment, health outcomes, and supplementary scales. Study implementation was guided by a multigroup organizational framework and a comprehensive, multistage quality control system. Results: This protocol provides a detailed description of the sampling design, quality control procedures, and outcome measures used in the study. A multistage quality control system governed every phase of study implementation, from participant recruitment to data management. The outcome measures cover psychological, behavioral, occupational, and health-related dimensions, supporting a comprehensive evaluation of the mental health and behavioral status of Chinese nurses. Conclusion: The PBICN establishes a large-scale, longitudinal database with broad geographic and hospital-level coverage to assess the psychological and behavioral health of Chinese nurses. These findings will support the early identification of health risks, inform nursing management policies, and contribute to the implementation of the Healthy China 2030 initiative. Trial Registration: Chinese Clinical Trial Registry, ChiCTR2500108696.

AIM: This study examined the mediating role of psychological capital between two-way social support and academic resilience among undergraduate nursing students. METHODS: This cross-sectional study used convenience sampling to conduct a questionnaire survey among 1256 undergraduate nursing students in China in December 2022. The College Student Academic Resilience Scale, the Two-way Social Support Scale, and the Positive Psychological Capital Scale were used to collect the research data. To examine complex relationships among variables, correlation analysis and structural equation modeling were applied. The sample size met structural equation modeling requirements, and the bootstrap method was used to test the mediating effect of psychological capital and its 95% confidence interval. RESULTS: Two-way social support positively predicted psychological capital (β = 0.792, 95% CI [0.657, 0.927], p < .001), which in turn positively predicted academic resilience (β = 0.869, 95% CI [0.814, 0.924], p < .001). No direct effect was found between two-way social support and academic resilience (β = −0.005, 95% CI [−0.107, 0.097], p = .903). Psychological capital fully mediated this relationship with a significant indirect effect (β = 0.688, 95% CI [0.638, 0.726], p < .001). CONCLUSION: Psychological capital fully mediates how two-way social support enhances academic resilience. Integrating psychological capital development and structured social support into nursing education may effectively promote student resilience. Cite this article as: Zhang, J., Li, F., Li, W., Zhou, L., Xiong, F., Dai, S., Wei, T., & Dong, C. (2026). The mediating effect of psychological capital between two-way social support and academic resilience among chinese undergraduate nursing students. Florence Nightingale Journal of Nursing, 34, 0403, doi: 10.5152/FNJN.2026.25403.

Aim: To summarize current evidence regarding preferences for self‐management behaviours among adolescents and young adults (AYAs) with chronic diseases during the healthcare transition period. Design: Mixed‐methods systematic review. Methods: The review following the Joanna Briggs Institute Mixed Methods Systematic Review (JBI M‐MSR) methodology convergent integrated approach, which is separate qualitative and quantitative syntheses followed by integration in a narrative form. The methodological quality of included articles was assessed using the Mixed Methods Appraisal Tool. Data Sources: We searched nine databases (PubMed, Web of Science, Scopus, MEDLINE, CINAHL Plus, psyINFO, CNKI, Wan Fang and SinoMed) from their inception up to December 4, 2025, restricting results to English and Chinese publications. Results: A total of 31 studies were included in the review. These studies synthesise three main themes: (1) preferences for medical management behaviours; (2) preferences for emotional coping strategies and (3) preferences for role and identity maintenance. Conclusion: This review underscores the importance of understanding AYAs' preferences for self‐management behaviours during healthcare transition, offering insights to improve their engagement and adherence. Implications for the Profession and/or Patient Care: Healthcare providers can improve transition outcomes for AYAs with chronic diseases by surveying their preferences for self‐management behaviours and creating tailored plans. Impact: Highlights the importance of considering diverse preferences for self‐management behaviours. Contributes to improving health outcomes and quality of life for AYAs during healthcare transitions. Reporting Method: The Preferred Reporting Items for Systematic Reviews and Meta Analysis (PRISMA) checklist was followed. Patient or Public Contribution: This study did not include patient or public involvement in its design, conduct, or reporting.

Self‐compassion is a core professional value in nursing and is positively associated with nursing students' psychological well‐being, academic performance, and caring behaviors. However, heterogeneity and influencing factors in self‐compassion among nursing undergraduates remain underexplored. This cross‐sectional study investigated latent profiles of self‐compassion and their associated factors among Chinese undergraduate nursing students. A total of 2004 participants completed a sociodemographic questionnaire and the self‐compassion scale–short form. Latent profile analysis identified three distinct self‐compassion profiles: medium self‐compassion (42.71%), high self‐compassion (30.59%), and an imbalanced profile characterized by higher positive self‐compassion but lower reverse‐scored negative self‐compassion (26.70%). Multinomial logistic regression showed that gender, academic grade, professional attitude, and whether nursing was the first‐choice major were significant predictors of profile membership. These findings highlight substantial heterogeneity in self‐compassion among nursing undergraduates, with most students demonstrating moderate levels and potential for improvement. Tailored educational and psychological interventions based on self‐compassion profiles may help enhance nursing students' self‐compassion, professional identity, and mental well‐being.

This study examines the trajectories of depressive symptoms and decompose depressive symptoms into stable versus situational components among older adults in the pre-dementia stage. Using the data from the China Health and Retirement Longitudinal Study (CHARLS, N = 2926) and the English Longitudinal Study of Aging (ELSA, N =1641), latent class growth analysis grouped participants into distinct depressive symptom trajectories and regression model explored the predictors contributing to heterogeneous depressive symptom trajectories. The Stable Trait, Autoregressive Trait, and State (STARTS) model was conducted to distinguish the stable and situational components of depressive symptoms. The results revealed four distinct depressive symptom trajectories: 'low symptoms, then worsening', 'persistent low symptoms', 'high symptoms, then improving' and 'persistent high symptoms'. Predictors of heterogeneous depressive symptom trajectories include age, gender, marital status, educational level, social isolation, pain, visual impairment and hypertension. The STARTS model decomposition indicated that the CHARLS sample accounted for 48% state variance and 52% autoregressive trait variance, whereas the ELSA sample had 52% state variance and 48% autoregressive trait variance. Depressive symptom trajectories among older adults in the pre-dementia stage are heterogeneous. Predictors, emotional states, and long-term cumulative burden collectively shape the variability of trajectories. This study provides the evidence base for interrupting depressive symptoms and cognitive decline.

School refusal behavior (SRB) in adolescence is associated with short- and long-term adverse outcomes and frequently co-occurs with internalizing and exter

Background: The unprecedented demographic shift toward an aging global population poses substantial challenges to healthcare systems worldwide, particularly in China. Despite the increasing demand for specialized geriatric nursing, a trend has emerged in which nursing students consistently demonstrate a reluctance toward pursuing careers in geriatric nursing, resulting in a critical shortage of qualified healthcare professionals in this essential field. Objectives: This study aimed to examine the interrelationships among nursing students’ attitudes toward older people, their geriatric nursing competence, and their motivation to pursue careers in geriatric nursing; and to investigate the potential mediating role of geriatric nursing competence in the relationship between attitudes toward older people and geriatric nursing career motivation. Methods: A cross-sectional survey was conducted using a convenience sample at Wenzhou Medical University from June 2023 to August 2023. Data were collected using the Chinese version of the Kogan’s Attitudes toward Old People (KAOP) scale, Geriatric Nursing Career Motivation Questionnaire, and Geriatric Nursing Competence Scale for Clinical Nurses which used an online questionnaire. Structural equation modeling (SEM) was used to test the hypothesized mediating role of geriatric nursing competence. Results: This study recruited 529 nursing students across various academic years. Pearson analysis revealed a positive correlation between attitudes toward older people and geriatric nursing competence ( r = 0.106, p < 0.05), as well as between attitudes toward older people and geriatric nursing career motivation ( r = 0.375, p < 0.01). SEM revealed that attitudes toward older people had a significant direct effect on the motivation to choose a career in geriatric nursing (direct effect = 0.146, 95% CI [0.028–0.296]), with geriatric nursing competence partially mediating this relationship (indirect effect = 0.028, 95% CI [0.009–0.050], accounting for 16.09% of the total effect). Conclusions: Attitudes toward older people had primarily direct effect on geriatric nursing careers motivation, with a modest indirect effect mediated by geriatric nursing competence. Educational initiatives should focus on fostering positive attitudes toward older people while complementarily enhancing students’ geriatric nursing competence to address the growing need for geriatric nursing professionals. Clinical trial number: Not applicable.