| Literature DB >> 33934039 |
Jinfang Wang1, Lingrui Bu2, Yan Li1, Jie Song1, Na Li3.
Abstract
BACKGROUND: Almost all universities have been forced to close and change to online teaching during the COVID-19 pandemic, which has been a big challenge for students. There is little knowledge about the academic burnout among nursing students in these difficult circumstances, especially in traditional Chinese medicine universities, and the relationship between the burnout and their psychological capital and academic engagement.Entities:
Keywords: Academic burnout; Academic engagement; COVID-19; Psychological capital; Students, nursing
Mesh:
Year: 2021 PMID: 33934039 PMCID: PMC8669342 DOI: 10.1016/j.nedt.2021.104938
Source DB: PubMed Journal: Nurse Educ Today ISSN: 0260-6917 Impact factor: 3.442
Fig. 1Hypothesised model.
Social-demographic information of nursing students (n = 733).
| Variable | Mean | SD | Range | |||
|---|---|---|---|---|---|---|
| Gender | Female | 602 | 82.13 | |||
| Male | 131 | 17.87 | ||||
| Age | 20.07 | 1.45 | 17–24 | |||
| Grade | Freshman | 203 | 27.69 | |||
| Sophomore | 176 | 24.01 | ||||
| Junior | 225 | 30.70 | ||||
| Senior | 129 | 17.60 | ||||
| Choice of nursing profession | Choose actively | 431 | 58.80 | |||
| Transfer | 302 | 41.20 | ||||
Means, standard deviations, minimum, and maximum of academic burnout, psychological capital, and engagement (n = 733).
| Variable | Mean | SD | Minimum | Maximum |
|---|---|---|---|---|
| Academic burnout | 2.97 | 0.34 | 1.60 | 4.30 |
| Inappropriate behaviour | 3.51 | 0.55 | 1.67 | 5.00 |
| Reduced personal accomplishment | 3.02 | 0.44 | 1.67 | 4.50 |
| Dejection | 2.54 | 0.71 | 1.00 | 4.88 |
| Psychological capital | 4.91 | 0.61 | 1.04 | 7.00 |
| Self-efficacy | 4.96 | 0.86 | 1.00 | 7.00 |
| Optimism | 4.78 | 0.62 | 1.11 | 7.00 |
| Resilience | 4.76 | 0.67 | 1.00 | 7.00 |
| Hope | 5.18 | 0.73 | 1.00 | 7.00 |
| Academic engagement | 3.83 | 0.90 | 1.06 | 6.00 |
| Dedication | 4.06 | 0.89 | 1.00 | 6.00 |
| Vigor | 3.71 | 0.97 | 0.33 | 6.00 |
| Absorption | 3.70 | 0.95 | 0.80 | 6.00 |
Correlations of academic burnout, psychological capital, and engagement (n = 733).
| Variable | 1 | 2 | 3 |
|---|---|---|---|
| 1. Academic burnout | 1.000 | ||
| 2. Psychological capital | −0.135 | 1.000 | |
| 3. Academic engagement | −0.233 | 0.695 | 1.000 |
p<0.01 (2-tails).
Fig. 2Final model ⁎⁎p<0.01 (2-tails).
Effect estimates of the hypothesised model (Standardized coefficients).
| Structural paths | Direct effects | Indirect effects (95%CI) | Total effects |
|---|---|---|---|
| AE → AB | −0.47 | – | −0.47 |
| PC → AE | 0.69 | – | 0.69 |
| PC → AB | −0.34 | −0.32 | −0.66 |
Note: PC = psychological capital; AE = academic engagement and AB = academic burnout.
p < 0.01 (2-tails).