| Literature DB >> 35633785 |
Françoise Schwander-Maire1, Ana Querido2,3,4, Tanya Cara-Nova1, Maria Anjos Dixe2,3,5, Djamel Aissaoui1, Zaida Charepe6,7, Derek Christie1, Carlos Laranjeira2,3,8.
Abstract
Background: The COVID-19 pandemic has caused overwhelming changes in individual and community daily-life, resulting from the public health measures implemented to contain it, and also from its psychological and socio-economic consequences. These shifts and consequences impacted the entire population, but some groups are more likely to be affected by these changes, including higher education students.Entities:
Keywords: COVID-19; Portugal; Switzerland; coping strategies; higher education; mixed-methods study; psychological impact; students
Year: 2022 PMID: 35633785 PMCID: PMC9132224 DOI: 10.3389/fpsyt.2022.903946
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
Figure 1Process flow diagram of the procedures for this sequential explanatory mixed-methods study.
Association between the sociodemographic/health variables and participants country of origin (n = 1,880).
|
|
|
|
| ||||
|---|---|---|---|---|---|---|---|
|
|
|
|
| ||||
| Age (mean/SD) | 23.70 | 4.64 | 22.85 | 6.95 | 2.197 | 0.028 | |
| Gender | Male | 127 | 35.5 | 379 | 24.9 | 15.939 | <0.001 |
| Female | 231 | 64.5 | 1,143 | 75.1 | |||
| Marital status | Single | 337 | 94.1 | 1,388 | 91.2 | 5.778 | 0.123 |
| Married | 17 | 4.8 | 118 | 7.7 | |||
| Divorced | 4 | 1.1 | 13 | 0.9 | |||
| widowed | 0 | 0 | 3 | 0.2 | |||
| Live with elderly or chronically ill people | No | 310 | 86.6 | 1,121 | 73.7 | 26.692 | <0.001 |
| Yes | 48 | 13.4 | 401 | 26.3 | |||
| Level of studies you attend | Graduation | 323 | 90.2 | 1,205 | 79.2 | 69.210 | <0.001 |
| Post-graduation | 17 | 4.7 | 15 | 1.0 | |||
| Master's Degree | 16 | 4.5 | 154 | 10.1 | |||
| Other | 2 | 0.6 | 148 | 9.7 | |||
| Working student | No | 196 | 54.7 | 1,166 | 76.6 | 69.389 | <0.001 |
| Yes | 162 | 45.3 | 356 | 23.4 | |||
| Study area | Health area | 176 | 49.3 | 545 | 35.8 | 22.258 | <0.001 |
| Other areas | 181 | 50.7 | 977 | 64.2 | |||
| Diagnosed with a chronic illness? | No | 335 | 93.6 | 1,285 | 84.4 | 19.588 | <0.001 |
| Yes | 23 | 6.4 | 237 | 15.6 | |||
Student t-test.
Comparison of perceived health status, psychological impact, hope and coping between the two countries (Portugal vs. Switzerland; n = 1,880).
|
|
|
|
| ||||
|---|---|---|---|---|---|---|---|
|
|
|
|
| ||||
| Mental health state, with reference to the last month | 42.72 | 24.76 | 61.57 | 21.36 | −14.55 | <0.001 | 22.04 |
| Physical health state, with reference to the last month | 49.36 | 22.61 | 65.09 | 19.89 | −13.09 | <0.001 | 20.44 |
| Overall state of health -with reference to the last month | 49.51 | 21.34 | 66.86 | 17.92 | −15.86 | <0.001 | 18.62 |
| DASS-Stress | 7.54 | 5.24 | 8.42 | 5.75 | −2.65 | 0.008 | 5.66 |
| DASS-Anxiety | 3.61 | 4.21 | 5.68 | 5.48 | −6.67 | <0.001 | 5.26 |
| DASS-Depression | 9.10 | 5.52 | 6.57 | 5.61 | 7.67 | <0.001 | 5.59 |
| HHI | 32.73 | 8.19 | 35.52 | 5.92 | −7.34 | <0.001 | 6.40 |
| BRCS | 13.60 | 2.98 | 12.50 | 3.47 | 5.46 | <0.001 | 3.39 |
| IES-R | 21.56 | 15.90 | 34.08 | 19.26 | −11.4 | <0.001 | 18.67 |
Cohen's effect size.
Prevalence of mental health symptoms and psychological impact between the two countries (Portugal vs. Switzerland; n = 1,880).
|
|
|
|
|
|
| ||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
| ||||||
| IES_R | Normal (0–23) | 216 | 60.3 | 490 | 32.2 | 117.620 | 0.001 | 3.204 | <0.001 |
| Mild psychological impact (24–32) | 63 | 17.6 | 243 | 16.0 | (2.526–4.062) | ||||
| Moderate psychological impact (33–36) | 12 | 3.4 | 94 | 6.2 | |||||
| Severe psychological impact (>37) | 67 | 18.7 | 695 | 45.6 | |||||
| DASS-Stress | Normal stress (0–10) | 245 | 68.8 | 978 | 64.3 | 5.769 | 0.056 | 1.206 | <0.001 |
| Mild stress (11–18) | 100 | 28.1 | 452 | 29.7 | (0.943–1.543) | ||||
| Moderate stress (19–26) | 11 | 3.1 | 92 | 6.0 | |||||
| DASS-Anxiety | Normal (0–6) | 279 | 78.4 | 962 | 63.2 | 36.523 | 0.001 | 2.056 | <0.001 |
| Mild anxiety (7–9) | 38 | 10.7 | 196 | 12.9 | (1.568–2.695) | ||||
| Moderate anxiety (10–14) | 30 | 8.4 | 227 | 14.9 | |||||
| Severe anxiety (15–19) | 9 | 2.5 | 107 | 7 | |||||
| Extremely severe anxiety (20–42) | 0 | 0 | 30 | 2 | |||||
| DASS-Depression | Normal (0–9) | 194 | 54.5 | 1088 | 71.5 | 39.391 | 0.001 | 0.472 | <0.001 |
| Mild depression (10–12) | 59 | 16.6 | 173 | 11.3 | (0.373–0.597) | ||||
| Moderate depression (13–20) | 96 | 27.0 | 246 | 16.2 | |||||
| Severe depression (21–27) | 7 | 2.0 | 15 | 1.0 | |||||
Two missing cases for DASS-21 subscales.
Multivariate logistic regression analysis associated with student stress, anxiety, and depression (n = 1,880).
|
|
| ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
|
|
|
|
|
|
|
|
|
| Stress | State of mental health | −0.098 | <0.001 | 0.361 | 0.358 | 98.218 | −0.122 | <0.001 | 0.290 | 0.290 | 348.80 |
| <0.001 | <0.001 | ||||||||||
| Hope | −0.134 | <0.001 | −0.174 | <0.001 | |||||||
| Anxiety | State of mental health | N/A | −0.098 | <0.001 | 0.255 | 0.254 | 259.82 | ||||
| <0.001 | |||||||||||
| Hope | −0.174 | <0.001 | 0.257 | 0.251 | 39.941 | −0.182 | <0.001 | ||||
| Overall state of health | −0.059 | <0.001 | <0.001 | N/A | |||||||
| Resilience | 0.166 | <0.035 | N/A | ||||||||
| Depression | State of mental health | −0.093 | <0.001 | 0.493 | 0.490 | 168.670 | −0.092 | <0.001 | 0.443 | 0.442 | 402.86 |
| <0.001 | <0.001 | ||||||||||
| Hope | −0.264 | <0.001 | −0.452 | <0.001 | |||||||
| Resilience | N/A | 0.161 | <0.001 | ||||||||
The coding structure of main themes, subthemes and quoting passages.
|
|
|
|
|---|---|---|
| Personal sphere | Personal growth and adaptability |
|
|
| ||
| “Window of opportunity” to be involved in academic and professional projects |
| |
| Focus on Work-life balance |
| |
|
| ||
| Self-care through the adoption of healthy lifestyles |
| |
|
| ||
| Being more compassionate to others |
| |
|
| ||
| Selecting useful information about the pandemics |
| |
|
| ||
| Compliance with the sanitary measures |
| |
|
| ||
| Social sphere | New ways of communication – digital networking |
|
|
| ||
| New ways of being physically close | ||
|
| ||
| Prioritise and valorise “being with my family and friends” |
| |
|
| ||
| Contextual sphere | Adaptation of the “teaching / learning” environment |
|
|
| ||
| School support services | ||
| Tailored teaching support |
| |
|
|