| Literature DB >> 33335494 |
Syed Hassan Raza1, Wajiha Haq2, Muhammad Sajjad3.
Abstract
The World Health Organization declares coronavirus disease 2019 (COVID-19) as a pandemic, and The World Economic Forum argues that the COVID-19-induced global lockdown is the biggest psychological experiment. This study is an attempt to empirically evaluate the possible adverse psychosocial effects caused by COVID-19-related lockdown, if any. To do so, a cross-sectional study is conducted based on a comprehensive online survey using snowball sampling to analyze the level of social and psychological impacts (i.e., stress, belief in stakeholders, fear of losing job, and life satisfaction) during the early stage of the outbreak in Pakistan. The questionnaire is filled out by the residents in Pakistan including working professionals and students (sample size is 428). We find that the development of stress due to COVID-19-induced lockdown is particularly because of mood swings. Additionally, a higher prevalence of stress in the children of highly educated mothers is evident (95% confidence). To assess the belief in stakeholders, we focus gender, demographics, and education. It is observed that parental education and age significantly affect the belief in several stakeholders (i.e., government, media, religious clerics, and family). The lockdown-induced fear of losing job is lower in female and male children whose fathers are graduates. Lastly, we observe that food storage and "no fear of losing job" significantly increases the odds of life satisfaction. These findings have important implications in the context of social insurance, parental education, and policy related to COVID-19 at various levels. This study further facilitates to understand the factors that might affect the mental health and life satisfaction of people during such pandemics.Entities:
Keywords: COVID-19; psychology; public health; stress; well-being
Year: 2020 PMID: 33335494 PMCID: PMC7736613 DOI: 10.3389/fpsyg.2020.554624
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Frequency distribution of key indicators of respondents.
Detail on the dependent and independent variables used in this study to set different logistic models.
| Gender | ||||||
| Age | ||||||
| Marital status | ||||||
| Household size | ||||||
| Profession | ||||||
| Living arrangement | ||||||
| Trust in provincial gov | ||||||
| Trust in family | ||||||
| Relief package | ||||||
| Mood swings | ||||||
| Fear of losing job | ||||||
| Life satisfaction | ||||||
| Food storage | ||||||
| Respondent’s education | ||||||
| Mother’s education | ||||||
| Father’s education | ||||||
FIGURE 2Frequency distribution of parental education of respondents.
FIGURE 3Stress distribution of respondents.
Multilogistic-regression-based results for stress.
| Mother’s education matriculation | 3.001 (0.412) | 0.007* | 0.030 | 7.12 | |
| Mother’s education postgraduate or above | 0.212 (0.601) | 0.010* | 0.030 | 6.61 | |
| Mood swings not at all | 4.314 (0.376) | 0.0001* | 0.010 | 15.05 | |
| Mother’s education postgraduate or above | 0.413 (0.420) | 0.035* | 0.042 | 4.42 | |
| Mood swings rarely | 1.944 (0.292) | 0.022* | 0.037 | 5.18 | |
| Life satisfaction level good | 1.879 (0.311) | 0.042* | 0.042 | 4.12 | |
| Age | 1.089 (0.041) | 0.040* | 0.042 | 4.20 | |
| Father’s education matriculation | 0.408 (0.368) | 0.015* | 0.030 | 5.89 | |
| Working status (students) | 1.883 (0.284) | 0.026* | 0.037 | 4.95 | |
| Life satisfaction level satisfactory | 1.885 (0.257) | 0.013* | 0.030 | 6.08 | |
| Unadjusted R2 | 0.164 | ||||
| Independent variables | Prob. > chi-square | ||||
| Mood swings | < 0.0001* | ||||
| Life satisfaction | 0.013* | ||||
| Education | 0.010* | ||||
| Difference (−loglikelihood) | < 0.0001* | ||||
| Model | 0.7328 | ||||
| Difference (−2loglikelihood) | < 0.0001* | ||||
Multilogistic-regression-based results for belief in family’s response to COVID-19.
| Age | 0.762 (0.136) | 0.046* | 0.046 | 3.970 | |
| Father’s education Post Graduate or Above | 0.242 (0.540) | 0.008* | 0.028 | 6.870 | |
| Mother’s education Post Graduate or above | 0.339 (0.441) | 0.014* | 0.028 | 6.000 | |
| Mother’s education matriculation | 1.900 (0.308) | 0.037* | 0.046 | 4.340 | |
| Unadjusted R2 | 0.133 | ||||
| Independent Variables | Prob. > Chi square | ||||
| Marital status | 0.044* | ||||
| Household Size | 0.002* | ||||
| Mother’s education | 0.003* | ||||
| Difference (−loglikelihood) | < 0.0001* | ||||
| Model | 0.1033 | ||||
| Difference (−2loglikelihood) | < 0.0010* | ||||
Multilogistic-regression-based results for belief in media’s response to COVID-19.
| Gender (female) | 0.576 (0.218) | 0.011* | 0.020 | 6.350 | |
| Age | 0.902 (0.052) | 0.048* | 0.048 | 3.880 | |
| Mother’s education under matriculation | 3.343 (0.482) | 0.012* | 0.020 | 6.260 | |
| Mother’s education postgraduate or above | 0.348 (0.491) | 0.032* | 0.048 | 4.600 | |
| Mother’s education under matriculation | 3.842 (0.465) | 0.003* | 0.015 | 8.360 | |
| Un-adjusted R-square | 0.088 | ||||
| Independent Variables | Prob. > Chi square | ||||
| Gender | 0.014* | ||||
| Difference (−loglikelihood) | 0.0388* | ||||
| Model | 0.5408 | ||||
| Difference (−2loglikelihood) | < 0.0001* | ||||
Multilogistic-regression-based results for belief in religious clerics’ response to COVID-19.
| Age | 1.159 (0.067) | 0.026* | 0.035 | 4.92 | |
| Mother’s education postgraduate or above | 3.919 (0.689) | 0.047* | 0.047 | 3.93 | |
| Age | 1.166 (0.065) | 0.018* | 0.035 | 5.57 | |
| Mother’s education postgraduate or above | 5.512 (0.707) | 0.015* | 0.035 | 5.83 | |
| Unadjusted R2 | 0.097 | ||||
| Independent variables | Prob. > Chi square | ||||
| Gender | 0.011* | ||||
| Age | 0.047* | ||||
| Difference (−loglikelihood) | 0.0064* | ||||
| Model | 0.7306 | ||||
| Difference (−2loglikelihood) | 0.0370* | ||||
Logistic-regression-based results for fear of losing job due to COVID-19-induced lockdown/quarantine.
| Gender (female) | 1.427 (0.138) | 0.010* | 0.019 | 6.61 | |
| Father’s education graduation | 1.762 (0.242) | 0.019* | 0.019 | 5.49 | |
| Father’s education under matriculation | 0.501 (0.280) | 0.013* | 0.019 | 6.08 | |
| Unadjusted R2 | 0.134 | ||||
| Independent variables | Prob. > Chi square | ||||
| Gender | 0.009* | ||||
| Father’s education | 0.020* | ||||
| Difference (−loglikelihood) | < 0.0001* | ||||
| Model | 0.3688 | ||||
Multilogistic-regression-based results for public perception toward life satisfaction in the face of COVID-19.
| Gender (female) | 1.786 (0.276) | 0.036* | 0.036 | 4.39 | |
| Fear of losing job (No) | 0.535 (0.297) | 0.035* | 0.036 | 4.42 | |
| Fear of losing job (no) | 0.889 (0.204) | 0.002* | 0.008 | 8.85 | |
| Food storage (No) | 1.437 (0.155) | 0.019* | 0.036 | 5.45 | |
| Unadjusted R2 | 0.074 | ||||
| Independent variables | Prob. > Chi square | ||||
| Fear of losing job | 0.001* | ||||
| Food storage | 0.032* | ||||
| Difference (−loglikelihood) | 0.0002* | ||||
| Model | 0.1010 | ||||
| Difference (−2loglikelihood) | 0.0090* | ||||