| Literature DB >> 33728659 |
Abstract
PURPOSE: To determine the relationship between posttraumatic growth (PTG), psychological flexibility, and psychological resilience of nursing students after the COVID-19 alarm status. DESIGN AND METHODS: This descriptive cross-sectional study was conducted with nursing students (N = 292) studying at a nursing school of a university. The data collection instruments included a form on descriptive variables, and the PTG, psychological flexibility, and psychological resilience scales. Descriptive statistics, independent-samples t test, ANOVA, correlation, simple, and hierarchical linear regression analyses were used to analyze the data.Entities:
Keywords: COVID-19; education curriculum; nursing student; pandemic; psychological flexibility; psychological resilience
Mesh:
Year: 2021 PMID: 33728659 PMCID: PMC8251109 DOI: 10.1111/ppc.12761
Source DB: PubMed Journal: Perspect Psychiatr Care ISSN: 0031-5990 Impact factor: 2.223
Figure 1Flow diagram of participants inclusion [Color figure can be viewed at wileyonlinelibrary.com]
Mean, standard deviation, and correlation values of variables (N = 292)
| α | M |
| 1 | 2 | 3 | 4 | 5 | 6 | |
|---|---|---|---|---|---|---|---|---|---|
| Changes in self‐perception | 0.90 | 33.43 | 10.73 | – | |||||
| Changes in philosophy of life | 0.76 | 17.78 | 5.96 | 0.777 | – | ||||
| Changes in relationship | 0.83 | 12.28 | 5.99 | 0.727 | 0.649 | – | |||
| PTGI total score | 0.93 | 63.49 | 20.64 | 0.956 | 0.882 | 0.856 | – | ||
| AAQ‐II | 0.91 | 27.56 | 11.06 | −0.095 | 0.039 | −0.124 | −0.074 | – | |
| BRS | 0.88 | 18.10 | 5.75 | 0.196 | 0.063 | 0.190 | 0.175 | −0.608 | – |
Abbreviations: AAQ‐II, Acceptance and Action Questionnaire‐II; BRS, Brief Resilience Scale; PTGI, Posttraumatic Growth Inventory.
p < 0.05 (two‐tailed)
p < 0.01 (two‐tailed).
Distribution of nursing students according to descriptive characteristics (N = 292)
| Descriptive Characteristics |
| Percent |
|---|---|---|
| Mean age | 20.90 ± 2.16 year | (min–max = 18–31) |
| Gender | ||
| Female | 230 | 78.8 |
| Male | 62 | 21.2 |
| Marital status | ||
| Married | 2 | 0.7 |
| Single | 290 | 99.3 |
| Year of education | ||
| 1 | 96 | 32.9 |
| 2 | 76 | 26.0 |
| 3 | 47 | 16.1 |
| 4 | 73 | 25.0 |
| Living place | ||
| Province | 174 | 59.6 |
| District | 80 | 27.4 |
| Village | 18 | 13.0 |
| How to perceive the economic situation | ||
| High | 30 | 10.3 |
| Middle | 244 | 83.6 |
| Low | 18 | 6.2 |
| Attitude toward the profession before COVID‐19 pandemic | ||
| Absolutely relevant | 174 | 59.6 |
| A little concerning | 60 | 20.5 |
| No change in interest | 42 | 14.4 |
| A little unconcerned | 16 | 5.5 |
| Attitude toward the profession during COVID‐19 pandemic | ||
| Interest definitely increased | 142 | 48.6 |
| There was some interest | 50 | 17.1 |
| No change in attitude | 74 | 25.3 |
| Unstable | 26 | 8.9 |
| Community's attitude toward the profession during the COVID‐19 pandemic | ||
| Changed positively | 250 | 85.6 |
| Changed negatively | 10 | 3.4 |
| Not changed | 32 | 11.0 |
Univariate analyses of the factors associated with PTG, psychological flexibility, and psychological resilience (N = 292)
| Variables | PTG | AAQ‐II | BRS | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Mean ( |
|
| Mean ( |
|
| Mean ( |
|
| |
| Gender | |||||||||
| Female | 62.24 (21.30) | 27.46 (11.30) | 18.02 (5.98) | ||||||
| Male | 57.00 (16.56) | 2.824 |
| 27.90 (10.20) | 0.143 | 0.785 | 18.41 (4.81) | −0.477 | 0.634 |
| Year of education | |||||||||
| 1 | 61.89 (19.83) | 28.89 (11.71) | 17.09 (5.75) | ||||||
| 2 | 62.47 (19.59) | 0.604 | 0.613 | 25.72 (10.24) | 1.518 | 0.210 | 19.13 (5.75) | 1.846 | 0.139 |
| 3 | 65.10 (21.22) | 28.93 (11.26) | 18.29 (5.97) | ||||||
| 4 | 65.61 (22.47) | 26.83 (10.77) | 18.26 (5.50) | ||||||
| Living place | |||||||||
| Province | 61.88 (21.20) | 28.44 (11.18) | 17.75 (5.67) | ||||||
| District | 67.47 (18.32) | 2.077 | 0.127 | 26.17 (10.64) | 1.392 | 0.250 | 19.02 (5.98) | 1.398 | 0.249 |
| Village | 62.47 (22.01) | 26.42 (11.30) | 17.78 (5.55) | ||||||
| How to perceive the economic situation | |||||||||
| High | 65.93 (19.73) | 24.90 (13.52) | 17.53 (6.65) | ||||||
| Middle | 64.51 (19.79) | 7.636 |
| 27.34 (10.68) | 0.460 | 0.632 | 18.44 (5.64) | 4.076 |
|
| Low | 45.55 (25.80) | 27.44 (12.05) | 14.55 (4.47) | ||||||
| Attitude toward the profession before COVID‐19 pandemic | , | ||||||||
| Absolutely relevant | 67.67 (20.66) | 27.36 (11.16) | 18.34 (5.72) | ||||||
| A little concerning | 61.03 (17.47) | 8.076 |
| 28.73 (11.12) | 1.013 | 0.387 | 17.63 (5.83) | 0.471 | 0.703 |
| No change in interest | 51.85 (19.78) | 28.23 (10.95) | 17.52 (5.83) | ||||||
| A little unconcerned | 57.75 (20.75) | 23.50 (9.95) | 18.87 (5.87) | ||||||
| Attitude toward the profession during COVID‐19 pandemic | , | ||||||||
| Interest definitely increased | 67.85 (21.77) | 27.11 (11.09) | 18.23 (5.66) | ||||||
| There was some interest | 62.56 (16.32) | 4.999 |
| 30.00 (10.02) | 4.327 |
| 17.28 (5.37) | 2.669 |
|
| No change in attitude | 57.16 (20.23) | 24.94 (10.49) | 19.21 (5.72) | ||||||
| Unstable | 59.46 (18.01) | 32.76 (12.31) | 15.84 (6.46) | ||||||
| Community's attitude toward the profession during the COVID‐19 pandemic | |||||||||
| Changed positively | 64.22 (19.93) | 27.73 (11.09) | 18.12 (5.96) | ||||||
| Changed negatively | 76.60 (22.79) | 5.979 |
| 35.40 (9.78) | 4.544 |
| 16.80 (4.18) | 0.310 | 0.734 |
| Not changed | 53.68 (22.31) | 23.75 (9.90) | 18.43 (4.36) | ||||||
Note: Values with p < 0.05 were in bold.
Abbreviations: AAQ‐II, Acceptance and Action Questionnaire‐II; BRS, Brief Resilience Scale; PTGI, Posttraumatic Growth Inventory; SD, standard deviation.
Independent samples t test.
One‐way ANOVA.
Simple regression analysis for psychological flexibility as a determinant of psychological resilience (N = 292)
| Variable |
|
|
| VIF |
| Model ( | Adjusted |
|
|---|---|---|---|---|---|---|---|---|
| Constant | 26.822 | 37.262 | 0.001 | |||||
| AAQ‐II | −0.316 | −13.040 | 0.001 | 1.000 | 170.030 | 0.001 | 0.367 | 2.064 |
Abbreviations: AAQ‐II, Acceptance and Action Questionnaire‐II; VIF, variance inflation factor.
Hierarchical regression analysis results regarding determinants of posttraumatic growth (N = 292)
| Variables |
|
|
| VIF |
| Model ( | Adjusted | |
|---|---|---|---|---|---|---|---|---|
| Model 1 | Constant | 52.108 | 13.223 | 0.001 | ||||
| BRS | 0.062 | 3.031 | 0.003 | 1.000 | 9.187 | 0.003 | 0.027 | |
| Model 2 | Constant | 47.404 | 6.148 | 0.001 | ||||
| BRS | 0.742 | 2.836 | 0.005 | 1.586 | 4.838 | 0.009 | 0.026 | |
| AAQ‐II | 0.097 | 0.710 | 0.478 | 1.586 | ||||
| Model 3 | Constant | 51.021 | 3.862 | 0.001 | ||||
| BRS | 0.764 | 2.943 | 0.004 | 1.615 | ||||
| AAQ‐II | 0.104 | 0.764 | 0.445 | 1.616 | 4.777 | 0.001 | 0.049 | |
| Age | 0.304 | 0.550 | 0.583 | 1.025 | ||||
| Gender | −8.878 | ‐3.016 | 0.003 | 1.009 | ||||
| Model 4 | Constant | 71.664 | 4.779 | 0.001 | ||||
| BRS | 0.683 | 2.643 | 0.009 | 1.625 | ||||
| AAQ‐II | 0.066 | 0.492 | 0.623 | 1.632 | ||||
| Age | 0.231 | 0.423 | 0.673 | 1.028 | 5.479 | 0.001 | 0.071 | |
| Gender | −9.224 | −3.219 | 0.001 | 1.013 | ||||
| Economic situation | −8.173 | −2.799 | 0.005 | 1.024 | ||||
| Model 5 | Constant | 81.753 | 5.574 | 0.001 | ||||
| BRS | 0.621 | 2.484 | 0.014 | 1.631 | ||||
| AAQ‐II | 0.046 | 0.354 | 0.724 | 1.639 | ||||
| Age | 0.287 | 0.540 | 0.590 | 1.043 | ||||
| Gender | −7.464 | −2.671 | 0.008 | 1.034 | 7.443 | 0.001 | 0.134 | |
| Economic situation | −7.797 | −2.761 | 0.006 | 1.027 | ||||
| Attitude toward the profession before COVID‐19 | −3.826 | −3.137 | 0.002 | 1.082 | ||||
| Attitude toward the profession during COVID‐19 | −3.113 | −2.798 | 0.005 | 1.070 |
Abbreviations: AAQ‐II, Acceptance and Action Questionnaire‐II; BRS, Brief Resilience Scale.