Objectives:The aim was to confirm the relationship between social support (SS), post-stroke depression (PSD), and quality of life (QOL) and determine the mediating effect of PSD in stroke survivors. Additionally, we tested the impact of economic development level (in developed or developing countries) on the relationship between SS, PSD, and QOL.Methods: This study utilized meta-analytic structural equation modeling on systematically searched articles from PubMed, MEDLINE, Cochrane Library, Scopus, PsycINFO, Web of Science, China National Knowledge Infrastructure, and WanFang data published from inception to February 2022. Collect the sample size (n) of each study and the associations of observed variables, and conduct meta-analysis path analysis using AMOS 23.0 to assess the relationships. Concurrently, the effects of the national economic development level were extracted for moderator analysis.Results: A total of 28 studies (N = 3967) were included for analysis. SS and PSD were significant predictors of QOL (both p < 0.01). PSD mediated the relationship between SS and QOL (β = 0.31; 95% confidence interval 0.273-0.345; p < 0.01).Furthermore, in developed countries, SS was not statistically correlated with PSD (p = 0.811) compared to developing countries. Conclusions:Improving SS may help improve the QOL of stroke patients. PSD should be addressed using a comprehensive approach that includes interventions to enhance the QOL. Additionally, people have different psychological reactions to SS at different stages of economic development; thus, further research is needed to develop different measurement standards for patients according to the country's level of economic development.

Objective The purpose was to explore the alertness of premonitory symptoms in stroke patients with prehospital delay, and to analyze the influencing factors. Design and Sample A cross‐sectional study using the convenience sampling method was conducted in the neurology department of a general hospital between November 2018 and July 2019. A total of 352 stroke patients were participated in the survey. Measures A hierarchical multiple regression was performed to analyze the factors related to the alertness of premonitory symptoms (0–9 scores) in stroke patients with prehospital delay. Results The alertness score was 6.53 ± 2.377. The lowest score of 0.55 ± 0.498 was for “Continuous yawning occurs continuously despite no tiredness or lack of sleep is okay, and need not be treated.” The hierarchical regression results revealed that symptom onset, symptom change before admission, knowledge, social support were the influencing factors delaying the alertness of premonitory symptoms. Knowledge and support from friends could improve the alertness, while support from family and other support had a notable negative impact. Conclusions Stroke patients need to be more alert toward premonitory symptoms. This alertness is related to stroke knowledge and social support. Nurses should formulate interventions and advise stroke patients to improve their stroke knowledge and expand their social network.

Background Professional calling (PC) is crucial for ascertaining their professional goals and fulfilling career choices in nursing students. Thus, understanding its antecedents and helping schools improve PC among nursing students is critical. This study aims to explore whether professional identity (PI), as a crucial antecedent of PC, acts as an intermediary between career self-efficacy (CSE) and professional calling during the COVID-19 pandemic. Methods A sample of 565 nursing students were selected by a web-based survey through convenience sampling. The study was conducted from October to November 2020. Measures of CSE, PI, and PC were assessed during the COVID-19 pandemic. We analyzed demographic data and the correlation of the research variables. The significance of the mediation effect was assessed using a bootstrap method with SPSS. Results CSE during the COVID-19 pandemic outbreak (r = 0. 359, p < 0. 01) and PI (r = 0. 670, p < 0. 01) were both relevant to PC among nursing students. In addition, CSE had a positive indirect effect on PC through PI (β = 0. 288, p < 0. 05). Conclusions Higher scores in CSE and a better PI were associated with PC in nursing students. Furthermore, a better CSE had an indirect effect on the PC of students through PI. The favorable evidence in our study confirms that nursing educators can adopt PI interventions to improve the sense of PC among nursing students.

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Objectives: Although the evidence from numerous longitudinal studies has indicated a remarkable change in cognitive function (CF) and depressive symptoms (DS) over time, the parallel latent growth curve model (LGCM) has seldom been used to simultaneously investigate the relationship between their change trajectories. This study aimed to examine whether a change in DS was associated with CF over time using an LGCM.Methods: Data were collected from the Chinese Longitudinal Healthy Longevity Survey’s 2011, 2014, and 2018 waves. A parallel LGCM examined the association between CF and DS.Results: The multivariate conditioned model’s goodness of fit supported the validity of the longitudinal model (Tucker-Lewis index [TLI] = 0.90, comparative fit index [CFI] = 0.96, root mean square error of approximation [RMSEA] = 0.04). The results showed that the CF intercept was positively to the DS slope (β = 0.42, p = 0.004). The CF and DS slopes were significantly linked (β = −0.65, p = 0.002).Conclusion: The findings expand the knowledge about CF’s effect on DS in older adults.