Cognitive Subjective Well-Being during the Second Lockdown in Portugal: The Predictive Role of Sociodemographic and Psychopathological Dimensions
Abstract
:1. Introduction
1.1. Cognitive Subjective Well-Being and COVID-19
1.2. Predictors of Cognitive Subjective Well-Being during COVID-19 Pandemic
1.3. The Current Study
2. Materials and Methods
2.1. Procedures
2.2. Participants
2.3. Measures
3. Results
3.1. Mean, Standard Deviations, and Pearson’s Coefficient Correlation between SWLS, PINTS, DASS and Its Subscales, CAS and FCV-19S
3.2. Hierarchical Regression Analysis for Cognitive Subjective Well-Being with Sociodemographic and Psychopathological Variables as Predictors
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Variables | n | % |
---|---|---|
Professional situation | ||
Employed | 224 | 67.5 |
Unemployed | 20 | 6.0 |
Student | 82 | 24.7 |
Retired | 6 | 1.8 |
Children | ||
Yes | 92 | 27.9 |
No | 238 | 72.1 |
Elderly (cohabitation) | ||
Yes | 22 | 6.6 |
No | 310 | 93.4 |
Isolation during 2nd confinement | ||
Yes | 52 | 15.7 |
No | 280 | 84.3 |
COVID-19 infection | ||
Yes | 20 | 6.0 |
No | 312 | 94.0 |
Vaccination COVID-19 | ||
No, I refused | 2 | 0.6 |
No, waiting for availability according to age | 262 | 78.9 |
Yes, first dose | 36 | 10.8 |
Yes, two doses | 32 | 9.6 |
Working in first line or risk for COVID-19 (health care centres, residential for elderly, security forces and fire workers) | ||
Yes | 70 | 21.1 |
No | 262 | 78.9 |
Psychiatric illness before 2nd lockdown | ||
Yes | 64 | 19.3 |
No | 268 | 80.7 |
Psychiatric medication during 2nd lockdown | ||
Yes | 52 | 15.7 |
No | 280 | 84.3 |
M (SD) | Pearson Coefficient Correlations | ||||||||
---|---|---|---|---|---|---|---|---|---|
1. | 2. | 3. | 4. | 5. | 6. | 7. | 8. | ||
1. SWLS | 18.17 (4.39) | - | |||||||
2. PINTS | 15.85 (4.26) | −0.33 *** | - | ||||||
3. DASS-21 | 25.68 (20.72) | −0.43 *** | 0.56 *** | - | |||||
4. DASS-D | 7.49 (7.26) | −0.53 *** | 0.42 *** | 0.83 *** | - | ||||
5. DASS-A | 5.57 (7.68) | −0.21 *** | 0.47 *** | 0.87 *** | 0.55 *** | - | |||
6. DASS-S | 12.62 (8.65) | −0.39 *** | 0.58 *** | 0.92 *** | 0.66 *** | 0.74 *** | - | ||
7. CAS | 1.08 (2.11) | −0.07 | 0.28 *** | 0.43 *** | 0.34 *** | 0.40 *** | 0.38 *** | - | |
8. FCV-19S | 16.40 (4.56) | −0.06 | 0.26 *** | 0.40 *** | 0.27 *** | 0.40 *** | 0.37 *** | 0.45 *** | - |
β | 95% CI | t | R2 | ΔR2 | Tolerance | VIF | |
---|---|---|---|---|---|---|---|
Step 1 | 0.179 | 0.179 *** | |||||
Age | 0.08 | −0.02–0.08 | 1.31 | 0.644 | 1.554 | ||
Sex | 0.15 * | 0.54–3.04 | 2.82 | 0.917 | 1.090 | ||
Educational level | 0.09 | −0.25–2.84 | 1.66 | 0.959 | 1.043 | ||
Civil status | 0.19 ** | 0.57–2.71 | 3.02 | 0.664 | 1.506 | ||
Sexual orientation | −0.28 *** | −5.00–−2.32 | −5.36 | 0.910 | 1.099 | ||
Professional situation | 0.09 | −3.13–0.25 | −1.68 | 0.911 | 1.098 | ||
Step 2 | 0.260 | 0.081 *** | |||||
Age | 0.07 | −0.02–0.08 | 1.06 | 0.526 | 1.902 | ||
Sex | 0.09 | −0.24–2.28 | 1.60 | 0.825 | 1.213 | ||
Educational level | 0.04 | −1.00–2.11 | 0.70 | 0.872 | 1.146 | ||
Civil status | 0.21 ** | 0.68–2.93 | 3.16 | 0.554 | 1.804 | ||
Sexual orientation | −0.23 *** | −4.28–−1.62 | −4.35 | 0.849 | 1.178 | ||
Professional situation | 0.06 | −2.69–0.70 | −1.16 | 0.834 | 1.198 | ||
Children (cohabitation) | −06 | −0.56–1.74 | 1.01 | 0.657 | 1.523 | ||
Elderly (cohabitation) | 0.18 *** | 1.41–4.99 | 3.52 | 0.873 | 1.146 | ||
Isolation period | −0.11 * | −2.63–−0.04 | −2.02 | 0.779 | 1.283 | ||
COVID-19 infection | 0.09 | −0.38–3.62 | 1.59 | 0.766 | 1.306 | ||
COVID-19 vaccination | −0.06 | −1.79–0.51 | −1.09 | 0.810 | 1.235 | ||
Psychiatric illness | −0.14 * | −1.33–−0.1 | −2.30 | 0.662 | 1.511 | ||
Psychiatric medication | 0.02 | −1.15–1.62 | 0.33 | 0.684 | 1.461 | ||
Step 3 | 0.427 | 0.167 *** | |||||
Age | −0.002 | −0.05–0.04 | −0.31 | 0.468 | 1.138 | ||
Sex | 0.07 | −0.32–1.99 | 1.42 | 0.776 | 1.289 | ||
Educational level | 0.08 | −0.24–2.68 | 1.65 | 0.785 | 1.274 | ||
Civil status | 0.17 ** | 0.49–2.51 | 2.91 | 0.538 | 1.860 | ||
Sexual orientation | −0.15 ** | −3.13–−0.71 | −3.12 | 0.810 | 1.234 | ||
Professional situation | −0.08 | −2.74–0.31 | −1.57 | 0.816 | 1.226 | ||
Children (cohabitation) | 0.12 * | 0.17–2.25 | 2.28 | 0.627 | 1.595 | ||
Elderly (cohabitation) | 0.11 * | 0.23–3.51 | 2.24 | 0.820 | 1.220 | ||
Isolation period | −0.10 * | −2.41–−0.07 | −2.08 | 0.753 | 1.328 | ||
COVID-19 infection | 0.11 * | −15–3.80 | 2.12 | 0.722 | 1.386 | ||
COVID-19 vaccination | −0.02 | −1.23–0.91 | −0,29 | 0.730 | 1.369 | ||
Psychiatric illness | −0.01 | −0.65–0.50 | −0.25 | 0.596 | 1.677 | ||
Psychiatric medication | −0.07 | −2.12–0.41 | −1.33 | 0.646 | 1.547 | ||
PINTS | −0.13 * | −0.25–−0.02 | −2.21 | 0.556 | 1.799 | ||
CAS | −0.07 | −0.37–−0.07 | −1.42 | 0.691 | 1.447 | ||
FCV-19S | −0.05 | −0.15–−0.05 | −0.93 | 0.671 | 1.490 | ||
DASS-D | −0.41 *** | −0.32–−0.17 | −6.16 | 0.424 | 2.060 | ||
DASS-A | −0.24 ** | −0.23–−0.06 | −3.48 | 0.494 | 2.057 | ||
DASS-S | −0.24 ** | −0.21–−0.04 | −2.99 | 0.508 | 2.094 |
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Peixoto, M.M.; Sousa, M.; Cruz, S.; Cunha, O. Cognitive Subjective Well-Being during the Second Lockdown in Portugal: The Predictive Role of Sociodemographic and Psychopathological Dimensions. Psych 2022, 4, 717-732. https://doi.org/10.3390/psych4040053
Peixoto MM, Sousa M, Cruz S, Cunha O. Cognitive Subjective Well-Being during the Second Lockdown in Portugal: The Predictive Role of Sociodemographic and Psychopathological Dimensions. Psych. 2022; 4(4):717-732. https://doi.org/10.3390/psych4040053
Chicago/Turabian StylePeixoto, Maria Manuela, Mariana Sousa, Sara Cruz, and Olga Cunha. 2022. "Cognitive Subjective Well-Being during the Second Lockdown in Portugal: The Predictive Role of Sociodemographic and Psychopathological Dimensions" Psych 4, no. 4: 717-732. https://doi.org/10.3390/psych4040053