| Literature DB >> 34305670 |
Piotr Długosz1, Liudmyla Kryvachuk1.
Abstract
This article presents the results of a research survey, which shows the relationship between neuroticism and the coronavirus pandemic, which was performed among students in Poland and Ukraine. The survey was conducted online, on a sample of 1,978 respondents in Poland and 411 in Ukraine. The results indicated that average and high levels of neuroticism were observed among 61% of respondents in Poland and 47% in Ukraine. Regression analysis revealed that the main factors correlated with the level of neuroticism were educational burnout, gender, financial situation, interest in the pandemic, and satisfaction with life. As indicated by the respondents, neuroticism increases with educational burnout, loss of economic resources, and an increase of interest in the pandemic. Moreover, it was observed that female respondents scored higher on the scale of neuroticism compared to males. Comparative analyses between the Polish and Ukrainian students indicated that the Ukrainian youth cope with quarantine and distance education better and have better mental health. The overall responses showed that in the conditions of a pandemic, neuroticism may increase among the young generation.Entities:
Keywords: COVID-19; Poland and Ukraine; educational burnout; neuroticism; stress; students
Year: 2021 PMID: 34305670 PMCID: PMC8301069 DOI: 10.3389/fpsyt.2021.654590
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 4.157
Characteristics of the research sample.
| Age | M = 20.06 SD = 1.2 | M = 19.4 SD = 1.4 | |
| Sex % ( | Female | 83 (1,593) | 97 (395) |
| Male | 17 (321) | 3 (8) | |
| Financial standing % ( | Bad | 17 (323) | 16 (66) |
| Average | 67 (1,279) | 70 (283) | |
| Good | 16 (307) | 14 (57) | |
| Place of residence % ( | Village | 43 (816) | 45 (180) |
| City with 20,000–100,000 citizens | 23 (442) | 32 (130) | |
| City with more than 100,000 citizens | 34 (652) | 23 (94) | |
| Faith % ( | Believers | 66 (1,260) | 88 (354) |
| Non-believers | 17 (322) | 5 (18) | |
| Undecided | 17 (329) | 7 (32) | |
| Evaluation of distant learning % ( | Good | 41 (786) | 46 (192) |
| Average | 35 (679) | 38 (154) | |
| Bad | 24 (461) | 16 (64) | |
| Satisfaction with life % ( | Satisfied | 75 (1,428) | 81 (326) |
| Not satisfied | 15 (299) | 11 (46) | |
| Hard to say | 10 (184) | 8 (33) | |
| Educational burnout | Mean (SD) Min–Max | 51.1 (12.07)16–80 | 43.8 (10.06) 16–74 |
| Interest in pandemic % ( | Interested | 76 (1,458) | 79 (324) |
Impact of independent variables on average results on the neuroticism scale – Poland.
| Educational burnout | Low ( ≤ 36) | 227 | 13.2 | 4.63 | F(2;1, 867) = 318.07; |
| Medium (37–58) | 1,112 | 17.6 | 4.92 | ||
| High (≥59) | 531 | 22.3 | 4.75 | ||
| Financial standing | Worse | 323 | 20.36 | 5.48 | F(2;1, 906) = 24.33; |
| The same | 1,279 | 18.09 | 5.50 | ||
| Better | 307 | 17.76 | 5.75 | ||
| Gender | Female | 1,593 | 18.86 | 5.47 | t(1, 912) = 3.181; |
| Male | 321 | 16.23 | 5.83 | ||
| Satisfaction with life | Satisfied | 1,428 | 17.36 | 5.32 | F(2;1, 908) = 118.52; |
| Dissatisfied | 299 | 21.94 | 5.27 | ||
| Don't know | 184 | 21.10 | 5.03 | ||
| Level of interest in the pandemic | Interested | 1,458 | 18.48 | 5.66 | t(1, 911) =1.326; |
| Not interested | 455 | 18.28 | 5.44 | ||
| Estimated probability of becoming infected with the coronavirus | Low | 934 | 18.20 | 5.53 | F(2;1, 798) = 3.16; |
| Average | 656 | 18.90 | 5.21 | ||
| High | 211 | 18.72 | 6.01 | ||
| Evaluation of distant learning | Bad | 786 | 16.91 | 5.60 | F(2;1, 923) = 46.91; |
| Average | 679 | 19.17 | 5.30 | ||
| Good | 461 | 19.65 | 5.70 |
Impact of independent variables on average results on the neuroticism scale – Ukraine.
| Educational burnout | Low do ( ≤ 36) | 100 | 13.34 | 5.15 | F(2;392) = 47.10; |
| Medium (37–58) | 271 | 17.16 | 5.44 | ||
| High (≥59) | 24 | 24.62 | 4.97 | ||
| Financial standing | Worse | 65 | 19.90 | 6.05 | F(2;399) = 11.76; |
| The same | 281 | 16.23 | 5.74 | ||
| Better | 56 | 15.60 | 5.84 | ||
| Gender | Female | 392 | 16.70 | 5.94 | t(397) = 0.124; |
| Male | 7 | 16.42 | 5.59 | ||
| Satisfaction with life | Satisfied | 323 | 15.71 | 5.48 | F(2;398) = 29.51; |
| Dissatisfied | 45 | 21.84 | 6.09 | ||
| Don't know | 33 | 19.84 | 5.70 | ||
| Level of interest in the pandemic | Interested | 319 | 16.65 | 6.01 | t(401) = 0.627; |
| Not interested | 84 | 17.11 | 5.76 | ||
| Estimated probability of becoming infected with the coronavirus | Low | 180 | 16.23 | 5.66 | F(2;394) = 2.16; |
| Average | 174 | 17.19 | 6.23 | ||
| High | 43 | 18.06 | 5.66 | ||
| Evaluation of distant learning | Good | 192 | 15.70 | 5.98 | F(2;400) = 11.16; |
| Average | 152 | 16.89 | 5.23 | ||
| Bad | 59 | 19.77 | 6.63 |
Multiple regression analyses on the neuroticism scale.
| Educational burnout | 0.244 | 0.011 | 0.527 | 0.001 | 0.246 | 0.033 | 0.405 | 0.001 |
| Financial standing | −0.482 | 0.201 | −0.050 | 0.017 | −1.050 | 0.537 | −0.098 | 0.051 |
| Gender | −1.934 | 0.305 | −0.127 | 0.001 | −1.899 | 2.036 | −0.040 | 0.352 |
| Satisfaction with life | 0.905 | 0.109 | 0.174 | 0.001 | 1.343 | 0.284 | 0.247 | 0.001 |
| Level of interest in the pandemic | 0.173 | 0.143 | 0.029 | 0.031 | −0.718 | 0.375 | −0.100 | 0.055 |
| Estimated probability of becoming infected with the coronavirus | 0.012 | 0.005 | 0.055 | 0.008 | 0.011 | 0.011 | 0.041 | 0.336 |
| Evaluation of distant learning | −0.310 | 0.123 | −0.055 | 0.012 | 0.061 | 0.314 | 0.009 | 0.845 |
| 0.399 | 0.305 | |||||||
| 4.40 | 4.88 | |||||||
| 161.15 | 26.85 | |||||||