| Literature DB >> 35245331 |
Mihaela Simionescu1, Elena-Nicoleta Bordea2, Angelo Pellegrini2.
Abstract
In the light of the current COVID-19 pandemic, being considered a present challenge for public health, the main purpose of this work is to analyze the vulnerability to stress of a sample of nursing students in Romania considering their status on labour market (employed students in the medical system and non-employed students) before and during the COVID-19 pandemic. Employed students were more vulnerable to stress comparing to non-employed ones during the pandemic. In addition to this, the nursing students working in the medical system experienced medium vulnerability to stress during the pandemic comparing to those working before the pandemic who experienced a low vulnerability to stress. Excepting the non-employed students before the pandemic, the females were more vulnerable to stress comparing to the males in the sample and the students living in the country experienced a higher level of stress comparing to those living in the urban area. During the pandemic, most of the employed nursing students expressed their fear of getting infected with COVID-19, this representing the most stressful factor for them, while most of them mentioned the self-control as being the most proper strategy for them to cope with stress. These empirical findings have practical implications for stress control among present and future nurses, for management of medical units and for higher education nursing.Entities:
Mesh:
Year: 2022 PMID: 35245331 PMCID: PMC8896692 DOI: 10.1371/journal.pone.0264920
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Samples’ characteristics (before and during the pandemic).
| Variable | Relative frequency (sample before the pandemic) | Relative frequency (sample during the pandemic) |
|---|---|---|
|
| 17.53% males | 19.4% males |
| 82.47% females | 80.6% females | |
|
| 51.11% in urban environment | 52.98% in urban environment |
| 48.93% in rural environment | 47.02% in rural environment | |
|
| 18–25 years: 74.62% | 18–25 years: 75.74% |
| 26–29 years: 8.95% | 26–29 years: 8.2% | |
| 30–39 years: 6.98% | 30–39 years: 6.34% | |
| 40–49 years: 7.09% | 40–49 years: 8.98% | |
| 50–65 years: 2.36% | 59–65%: 0.74% | |
|
| 80.97% unmarried | 75% unmarried |
| 19.03% married | 25% married | |
|
| 45.15% living with parents | 48.5% living with parents |
| 26.86% living alone | 25% living alone | |
| 18.28% living in student dorm | 15.29% living in student dorm | |
| 9.71% living on rent | 11.3% living on rent | |
|
| 59.7% unemployed | 55.22% unemployed |
| 40.3% employed | 44.78% employed |
Source: personal computations.
The estimated results of treatment (coping strategies) effects in order to assess the impact of status on labour market regarding stress scores (control variables: Gender, marital status, age group).
| Sample | Method | Propensity-score matching | Nearest-neighbour matching | Regression adjustment | Potential outcomes |
|---|---|---|---|---|---|
|
|
| 5.93 | 5.58 | 4.72 | 16.57 |
|
| 2.45 | 2.56 | 2.36 | 1.45 | |
|
| 2.42 | 2.18 | 1.99 | 11.44 | |
|
| 0.016 | 0.029 | 0.046 | 0.000 | |
|
|
| 3.74 | 2.67 | 1.93 | 23.80 |
|
| 2.62 | 2.87 | 2.75 | 1.76 | |
|
| 1.43 | 0.93 | 0.70 | 13.46 | |
|
| 0.153 | 0.35 | 0.48 | 0.00 | |
|
|
| 6.21 | 6.12 | 5.62 | 26.61 |
|
| 2.27 | 2.30 | 2.19 | 1.40 | |
|
| 2.73 | 2.66 | 2.56 | 18.88 | |
|
| 0.006 | 0.008 | 0.01 | 0.000 |
Note:
* significant at 10% significance level
Source: personal computations in Stata 15.
The estimated results of treatment (coping strategies) effects in order to assess the impact of status on labour market regarding stress scores (control variables: Gender, marital status, age group).
| Sample | Method | Propensity-score matching | Nearest-neighbour matching | Regression adjustment | Potential outcomes |
|---|---|---|---|---|---|
|
|
| 4.09* | 4.28* | 4.17* | 23.83* |
|
| 1.58 | 1.67 | 1.64 | 1.18 | |
|
| 2.58 | 2.56 | 2.54 | 20.05 | |
|
| 0.01 | 0.01 | 0.011 | 0.00 | |
|
|
| 4.42* | 4.42* | 4.42* | 26.17* |
|
| 2.69 | 2.70 | 2.67 | 1.88 | |
|
| 1.69 | 1.69 | 1.66 | 13.87 | |
|
| 0.09 | 0.09 | 0.097 | 0.00 | |
|
|
| 3.56* | 2.75 | 4.04* | 22.63* |
|
| 1.85 | 1.81 | 1.93 | 1.45 | |
|
| 1.92 | 1.52 | 2.09 | 15.54 | |
|
| 0.055 | 0.13 | 0.037 | 0.00 |
Note: ** significant coefficient at 10% significance level
Source: personal computations in Stata 15.
The association between stress scores before and during the COVID-19 pandemic and different variables for employed and non-employed nursing students.
| Stress scores for: | ||||
|---|---|---|---|---|
| Employed students before the pandemic | Employed students during the pandemic | Non-employed students before the pandemic | Non-employed students during the pandemic | |
|
| 8.772 | 8.348 | 10.236 | 1.334 (0.248) |
|
| 1.0147 (0.471) | 1.417 (0.233) | 1.005 (0.316) | 1.893 (0.168) |
|
| 1.911 (0.158) | 1.893 (0.168) | 1.445 (0.229) | 1.227 (0.267) |
|
| 4.578 | 6.348 | 7.223 | 1.817 (0.177) |
|
| - | 6.003 | - | |
Source: personal calculations in Stata 15
Note: Values of Perarson’s chi-square statistics in each cell and p-values in brackets
* significant at 10% significance level.