Autor: |
Aidah Alkaissi, Nizar B. Said, Shorooq Qadous, Mahdia Alkony, Omar Almahmoud |
Jazyk: |
angličtina |
Rok vydání: |
2023 |
Předmět: |
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Zdroj: |
BMC Nursing, Vol 22, Iss 1, Pp 1-13 (2023) |
Druh dokumentu: |
article |
ISSN: |
1472-6955 |
DOI: |
10.1186/s12912-023-01325-6 |
Popis: |
Abstract Background Resilience has emerged as a concept that could explain and predict good academic and well-being of students in stressful and traumatic situations. This study was conducted to assess resilience and identify predictors of high or low resilience scores among future nurses in Palestine. Methods This cross-sectional study adhered to the Strengthening the Reporting of Observational Studies in Epidemiology statement. Undergraduate nursing students in all academic years were recruited and asked to complete a questionnaire that contained the Trait Resilience Scale and the State-Resilience Scale. Multiple linear regression models were used to identify predictors of higher resilience scores and to control for potentially confounding factors. Results In this study, 290 students completed the questionnaire (response rate = 92.4%). The means of trait, state, and combined resilience scores were 71.4 (SD: 7.5), 62.7 (SD: 6.7), and 134.1 (SD: 12.8), respectively. There was a significant moderate positive correlation between state resilience scores and trait resilience scores (r = 0.63, p |
Databáze: |
Directory of Open Access Journals |
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