Fear of disease progression and resilience parallelly mediated the effect of post-stroke fatigue on post-stroke depression: A cross-sectional study.

AIMS: To explore the effect of post-stroke fatigue (PSF) on post-stroke depression (PSD) and examine the mediating effects of fear of disease progression (FOP) and resilience between PSF and PSD. DESIGN: A cross-sectional study. METHODS: A total of 315 stroke patients participated in the questionnaire survey between November 2022 and June 2023. Data were collected using the General Information Questionnaire, Fatigue Severity Scale, Fear of Disease Progression Questionnaire-Short Form, Connor-Davidson Resilience Scale-10 Item and Hospital Anxiety and Depression Scale-Depression Subscale. Data were analysed by descriptive analysis, Mann-Whitney U-test, Kruskal-Wallis H-test, Pearson or Spearman correlation, hierarchical regression analysis and mediation analysis. RESULTS: PSF had a significant positive total effect on PSD (ß = .354, 95% CI: .251, .454). Additionally, FOP and resilience played a partial parallel-mediating role in the relationship between PSF and PSD (ß = .202, 95% CI: .140, .265), and the total indirect effect accounted for 57.06% of the total effect. CONCLUSIONS: FOP and resilience parallelly mediated the effect of PSF on PSD, which may provide a novel perspective for healthcare professionals in preventing PSD. Targeted interventions aiming at reducing PSF, lowering FOP levels and enhancing resilience may be possible ways to alleviate PSD. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: Interventions that tail to reducing PSF, lowering FOP levels and enhancing resilience may be considered as possible ways to alleviate PSD. IMPACT: This study enriched the literature by exploring the effect of PSF on PSD and further examining the mediating effects of FOP and resilience between PSF and PSD. Findings emphasized the important effects of PSF, FOP and resilience on PSD. REPORTING METHOD: The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) checklist for cross-sectional studies was used to guide reporting. PATIENT OR PUBLIC CONTRIBUTION: One tertiary hospital assisted participants recruitment.

The effect of sleep problems on core self-evaluations in undergraduate nursing students and the role of emotion regulation and resilience: A cross-sectional study.

BACKGROUND: Nursing students are prone to sleep problems that affect their core self-evaluations. However, little attention has been paid to the specific roles of emotion regulation (including cognitive reappraisal and expressive suppression) and resilience in this process. OBJECTIVES: This study aimed to explore 1) the direct effect of sleep problems on core self-evaluations among nursing students; 2) the chain-mediating effect of cognitive reappraisal and resilience on the relationship between sleep problems and core self-evaluations; 3) the moderating effect of expressive suppression on the direct relationship between sleep problems and core self-evaluations; and 4) the moderating effect of expressive suppression on the indirect relationship between sleep problems affecting core self-evaluations through resilience. METHODS: A total of 345 nursing students completed a survey conducted between September and October 2022. Data was analyzed using descriptive analysis, Fisher exact test, Kruskal-Wallis H test, Spearman correlation analysis, and hierarchical regression analysis. Additionally, the SPSS PROCESS V4.0 plug-in was used to verify the moderated chain-mediating effect. RESULTS: Sleep problems directly affected core self-evaluations among nursing students. Cognitive reappraisal and resilience played a partial chain-mediating role in the relationship between sleep problems and core self-evaluations, with expressive suppression having a direct moderating effect. CONCLUSIONS: Opportunities exist for enhancing the core self-evaluations of nursing students by addressing their sleep problems, promoting cognitive reappraisal strategies, and increasing resilience. Additionally, encouraging expressive suppression can mitigate the negative impact of sleep problems on nursing students' core self-evaluations.

Latent profiles of nursing students' professional identity and their relationship with stress and coping styles during clinical practicum.

AIM: This study aimed to identify the latent profiles of professional identity among nursing students and explore the factors associated with different profiles. BACKGROUND: Nursing students' professional identity is easily influenced by various factors. However, current studies mainly focused on the overall level of professional identity and its related factors, ignoring the population heterogeneity of nursing students' professional identity. DESIGN: A cross-sectional study. METHODS: A convenient sampling was used to collect data from 384 nursing students who were undergoing their clinical practicum in the affiliated hospitals of a medical university in China between January and April 2021. Data were collected using the demographic questionnaire, the nursing student internship stress scale, the simplified coping style questionnaire, and the professional identity scale for nursing students. A latent profile analysis was used to identify the latent profiles of professional identity. Kruskal-Wallis H test, analysis of variance and ordinal logistic regression were used to determine factors that were associated with different profiles of professional identity. RESULT: Nursing students' professional identity could be classified into four profiles: low professional identity, relatively low professional identity, relatively high professional identity and high professional identity. These four profiles showed unique relationships with choosing nursing voluntarily, willing to be a clinical nursing staff, stress in conflict between study and work, and positive coping styles. CONCLUSION: The majority of the nursing students were classified into profile 1 (low professional identity) and 2 ( relatively low professional identity). Nursing students' lower professional identity need to be further enhanced by improving social recognition of nurses to increase the willingness of high school graduates to choose nursing voluntarily, allocating nursing workforce rationally to increase the willingness of nursing student to be a clinical nursing staff, reducing nursing students' stress in conflict between study and work and encouraging them to adopt positive coping styles.

Psychometric properties of the post-stroke depression scale in the sequelae stage.

Aim: To evaluate the psychometric properties of the Post-Stroke Depression Scale in the Sequelae Stage (PSDS-SS). Background: The incidence of the sequelae stage Post-Stroke Depression (PSD) is high, and the best screening tools are still lacking. Under this circumstances, our research team developed the PSDS-SS by Delphi method, but its psychometric properties need to be further verified. Method: This was a cross-sectional study. Seven hundred and sixteen stroke patients in the sequelae stage were enrolled by purpose sampling from May 2022 to September 2022. The exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to verify the factor structure of the scale. The reliability of the scale was tested by Cronbach's α coefficient, test-retest reliability and composite reliability. The validity of the scale was tested by criterion-related validity, convergent and discriminant validity. Result: Eight items were deleted through item analysis. The EFA ended up with a 5-factor scale including 24 items after removing one item with low factor loading. Finally, a 21-item model was established by confirmatory factor analysis, and all the fit indexes were acceptable. The reliability and validity of the total scale and each factor are acceptable. Conclusion: The PSDS-SS has a stable factor structure, and demonstrated good reliability and validity. And it would be an effective tool to assess PSD in the sequelae stage.

Mediating Role of Resourcefulness in the Relationship Between Illness Uncertainty and Poststroke Depression.

Objectives: To examine the association between illness uncertainty, resourcefulness, and poststroke depression (PSD) and identifies whether stroke patients' resourcefulness plays a mediating role in the relationship between illness uncertainty and PSD. Methods: A cross-sectional study was conducted from September 2020 to April 2021. A convenience sample of 355 stroke patients was recruited. A general characteristic questionnaire, the Mishel Uncertainty in Illness Scale, the Resourcefulness Scale (RS), and the Patient Health Questionnaire-9 (PHQ-9) were used to obtain data. Descriptive analysis, Student's t-test, Mann-Whitney U-test, chi-squared test, hierarchical regression analyses, Pearson correlation analysis, and mediation analysis with the PROCESS macro were used to analyze the data. Results: Illness uncertainty, resourcefulness, and PSD were significantly related to each other. Resourcefulness partially mediated the relationship between illness uncertainty and PSD. Conclusion: Illness uncertainty and resourcefulness were significantly associated with PSD, and resourcefulness played a mediating role between illness uncertainty and PSD. Interventions designed to reduce illness uncertainty and enhance resourcefulness may contribute to the prevention and improvement of PSD.