| Literature DB >> 36231392 |
Seung-Kyoung Yang1, Minji Kim1.
Abstract
We aimed to identify factors influencing the preventive behavior of COVID-19 among nursing students. A survey was conducted through an online questionnaire in December 2021 for students in the department of nursing at a university located in C city. An online questionnaire was distributed to 189 nursing students who voluntarily agreed to participate in the study, and data from 179 of them were used for the final analysis. The research tools used were COVID-19 stress scale for Korean people, COVID-19 risk-perception scale, self-efficacy scale, and COVID-19 prevention behavior scale. Data were analyzed by descriptive statistics, t-test, analysis of variance, Mann-Whitney and Kruskal-Wallis test, as well as Spearman correlation coefficient and multiple linear regression with SPSS 23.0 program. Factors significantly influencing the preventive behavior of COVID-19 were self-efficacy (β = 0.53, p < 0.001) and COVID-19 stress (β = 0.25, p = 0.001). The explanatory power of related variables was 45.0%. We found that self-efficacy and COVID-19 stress had a significant effect on the preventive behavior of nursing students. Therefore, to promote the preventive behavior of COVID-19, it is necessary to improve the self-efficacy of nursing students and manage COVID-19 stress well.Entities:
Keywords: COVID-19; nursing; perception; self-efficacy; stress; students
Mesh:
Year: 2022 PMID: 36231392 PMCID: PMC9566419 DOI: 10.3390/ijerph191912094
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
General characteristics of participants.
| Characteristics | Categories | N (%) |
|---|---|---|
| Sex | Male | 24 (13.4) |
| Female | 155 (86.6) | |
| Grade | 1st | 47 (26.3) |
| 2nd | 59 (33.0) | |
| 3rd | 47 (26.3) | |
| 4th | 26 (14.5) | |
| Education experience | Yes | 114 (63.7) |
| about Respiratory Infection | No | 65 (36.3) |
| Necessity of COVID-19 | Yes | 167 (93.3) |
| prevention education | No | 12 (6.7) |
| COVID-19 testing experience | Yes | 134 (74.9) |
| No | 34 (25.1) | |
| Subjective health status | Very healthy | 43 (24.0) |
| Healthy | 94 (52.5) | |
| Moderate | 39 (21.8) | |
| Unhealthy | 3 (1.7) |
Note: COVID-19: coronavirus disease.
Degrees of COVID-19 stress, risk perception, self- efficacy and COVID-19 preventive behavior.
| Variables | Item M ± SD or M ± SD | Range |
|---|---|---|
| COVID-19 stress | 3.60 ± 0.57 | 1–5 |
| Fear of infection | 3.70 ± 0.73 | |
| Difficulties due to social distancing | 3.08 ± 0.80 | |
| Anger towards others | 3.97 ± 0.69 | |
| Risk perception | 4.91 ± 1.26 | 2–8 |
| Self-efficacy | 5.92 ± 0.84 | 1–7 |
| COVID-19 preventive behavior | 3.10 ± 0.44 | 1–4 |
| Distancing | 2.58 ± 0.62 | |
| Prevention rules | 3.59 ± 0.46 | |
| Personal hygiene rules | 3.44 ± 0.46 | |
| High-risk facilities | 3.06 ± 0.76 |
Note: M ± SD: mean ± standard deviation; COVID-19: coronavirus disease.
Difference in COVID-19 preventive behavior by general characteristics.
| Characteristics | Categories | COVID-19 Preventive Behavior | |
|---|---|---|---|
| M ± SD | t /F/z ( | ||
| Sex | Male | 2.90 ± 0.57 | −2.40 (0.018) |
| Female | 3.13 ± 0.41 | ||
| Grade | 1st | 2.94 ± 0.52 | 3.52 (0.016) |
| 2nd | 3.18 ± 0.41 | ||
| 3rd | 3.08 ± 0.36 | ||
| 4th | 3.22 ± 0.42 | ||
| Education experience about | Yes | 3.14 ± 0.39 | 1.68 (0.097) |
| Respiratory Infection | No | 3.03 ± 0.51 | |
| Necessity of COVID-19 | Yes | 3.11 ± 0.43 | −1.69 (0.092) * |
| prevention education | No | 2.93 ± 0.52 | |
| COVID-19 testing experience | Yes | 3.10 ± 0.45 | 0.14 (0.886) |
| No | 3.10 ± 0.41 | ||
| Subjective health status | Very healthy | 3.06 ± 0.51 | 2.28 (0.517) † |
| Healthy | 3.14 ± 0.40 | ||
| Moderate | 3.02 ± 0.45 | ||
| Unhealthy | 3.15 ± 0.33 | ||
Note: M ± SD: mean ± standard deviation, COVID-19: corona virus disease, * Mann–Whitney test, † Kruskal–Wallis test.
Correlation among COVID-19 stress, risk perception, self-efficacy, and COVID-19 preventive behavior.
| Variables | COVID-19 Stress | Risk Perception | Self-Efficacy |
|---|---|---|---|
| r ( | r ( | r ( | |
| Risk perception | 0.41 (<0.001) | 1 | |
| Self-efficacy | 0.42 (<0.001) | 0.05 (0.505) | 1 |
| COVID-19 preventive behavior | 0.51 (<0.001) | 0.21 (0.006) | 0.62 (<0.001) |
Note: COVID-19: coronavirus disease.
Influencing factors on COVID-19 preventive behavior.
| Variables | B | S.E | β | t |
| |
|---|---|---|---|---|---|---|
| (Constant) | 0.17 | 0.24 | - | 0.69 | 0.488 | |
| Sex * (ref = male) | female | −0.14 | 0.09 | −0.09 | −1.47 | 0.143 |
| Grade * (ref = 1st) | 2nd | 0.06 | 0.08 | 0.05 | 0.71 | 0.481 |
| 3rd | 0.03 | 0.09 | 0.03 | 0.36 | 0.717 | |
| 4nd | 0.07 | 0.10 | 0.05 | 0.70 | 0.486 | |
| Self-efficacy | 0.34 | 0.04 | 0.53 | 7.76 | <0.001 | |
| Risk perception | 0.02 | 0.03 | 0.05 | 0.71 | 0.478 | |
| COVID-19 stress | 0.23 | 0.07 | 0.25 | 3.25 | 0.001 | |
| R2 = 0.47 Adjusted R2 = 0.45 F = 22.03 | ||||||
Note: COVID-19: coronavirus disease, S.E: standard errors, * dummy variables.