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- Title
Anxiety among undergraduate Nursing students with mandatory curricular internship during the COVID-19 pandemic.
- Authors
Martins, Mariana Cavalcante; Figueirêdo Coelho, Manuela de Mendonça; de Oliveira, Débora Teles; de Almeida, Paulo Cesar; Vasconcelos Cavalcante, Viviane Mamede; de Freitas Lima, Larissa Rodrigues; Gubert, Fabiane do Amaral
- Abstract
Objective: to compare the average anxiety among undergraduate Nursing students during the COVID-19 pandemic. Methods: it was a cross-sectional study conducted with 101 undergraduate Nursing students. Data collection took place through WhatsApp®, by sending a link containing a consent form, a Google Forms® instrument and State-Trait Anxiety Inventory. The analysis was carried out through central tendency, absolute and relative frequency, and analytical tests. Results: trait anxiety and state anxiety presented medium (52.5%) and high (67.3%) levels, respectively, with mean state anxiety (48.1) higher than the mean trait anxiety (42.3) and positive correlation (r=0.479) between the two scales (p<0.000). They were high among students who lived with family members with risk factors for COVID-19 aggravation, underwent social isolation, without confirmatory tests for the disease, and performed an internship in internal medicine. Conclusion: significant percentages of anxiety levels were identified among undergraduate Nursing students in mandatory internship during the COVID-19 pandemic, thus revealing the need for preventive actions for this public. Contributions to practice: based on these findings, proposals to prevent mental health problems in this public can be developed seeking to change the current mental health scenario.
- Subjects
STATE-Trait Anxiety Inventory; INTERNAL medicine; CROSS-sectional method; SOCIAL media; SELF-evaluation; BACCALAUREATE nursing education; FAMILIES; INTERNSHIP programs; COMPARATIVE studies; SOCIAL isolation; T-test (Statistics); SCALE analysis (Psychology); DESCRIPTIVE statistics; ANXIETY; NURSING students; STATISTICAL sampling; DATA analysis software; COVID-19 pandemic
- Publication
Rev Rene, 2022, Vol 23, Issue 1, p1
- ISSN
1517-3852
- Publication type
Article
- DOI
10.15253/2175-6783.20222381055