RESUMEN
Background: This study aimed to present the psychometric properties (dimensionality, reliability, and invariance) of the Chinese 14-Item Resilience Scale (RS-14) within Chinese register nurses (RNs) with less than 3 years work experiences. And we aimed to compare the fit of a unidimensional model and a bifactor model. Materials and methods: This multicenter cross-sectional survey was conducted from August to September in 2019. A total of 7,231 registered nurses from 90 hospitals were recruited. Data was anonymously obtained through online questionnaires. Both reliability and validity of Chinese RS-14 were assessed. The confirmatory factor analyses (CFA) were used to compare the fit of two different factor structures of the RS-14 (unidimensional model vs. a bifactor model). Moreover, multigroup CFA (MGCFA) were applied to evaluate the measurement invariance (MI) across sociodemographic parameters (gender, educational level, marital status, and et al.). Design: Cross-sectional quantitative analyses. Results: Our study confirmed that the bifactor model presented the best fit within Chinese nurses (CFI = 0.924, TLI = 0.909, RMSEA = 0.095, SRMR = 0.043), and found strong factorial invariance across gender, marital status, and status of receiving standardized training. The reliability of RS-14 was high with a Cronbach's alpha coefficient of 0.939. Moreover, RS-14 was positively correlated with the social support and was negatively correlated with workplace bullying. Conclusion: This is the first study to explore the latent factor structure for the RS-14 among Chinese RNs and evaluated MI across a series of sociodemographic variables. Based on our findings, the Chinese version RS-14 is both valid and reliable.
RESUMEN
Objective: Spontaneous regression of tumors is an attractive phenomenon that most commonly occurs in stage 4S neuroblastoma (NB). However, the mechanism underlying this phenomenon remains unclear. Methods: Datasets correlated with NB were downloaded from online public databases, the differentially expressed genes (DEGs) between stage 4 and 4S associated with immunity were identified, and functional enrichment analysis was utilized to explore the potential functions and signaling pathways of these DEGs. In addition, based on these DEGs, a prognostic signature was constructed and validated, and differences in immune cell infiltration were analyzed. Results: A total of 13 DEGs were finally identified, and functional enrichment analysis revealed that these DEGs were primarily enriched in the positive regulation of neuron differentiation and TGF-β signaling pathway. The signature successfully stratifies patients into two risk score groups and performs well in judging prognosis and predicting overall survival time. In addition, the prognostic value of the risk score calculated by the signature was independent of clinical factors. The results of immune cell infiltration showed that patients with a high infiltration of resting CD4 + memory T cells had a better prognosis, while plasma cells had a worse prognosis. Conclusion: The results of the functional enrichment analysis of these identified DEGs suggested that these DEGs may be related to spontaneous regression of NB. In addition, the prognostic signature has the potential to create new risk stratification in patients with NB.(AU)