Table 1
Socio-economics characteristics of respondents.
| Male | Female | Total | p value | ||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| Total | 203 | 30.7 | 459 | 69.3 | 662 | 100.0 | |
| Region | |||||||
| Northern | 145 | 71.4 | 378 | 82.4 | 523 | 79.0 | <0.01 |
| Central | 28 | 13.8 | 45 | 9.8 | 73 | 11.0 | |
| South | 30 | 14.8 | 33 | 7.2 | 63 | 9.5 | |
| Foreign | 0 | 0.0 | 3 | 0.7 | 3 | 0.5 | |
| Age group | |||||||
| Under 25 | 41 | 20.2 | 127 | 27.7 | 168 | 25.4 | <0.01 |
| 25–34 | 43 | 21.2 | 134 | 29.2 | 177 | 26.7 | |
| 35–44 | 63 | 31.0 | 107 | 23.3 | 170 | 25.7 | |
| Above 44 | 56 | 27.6 | 91 | 19.8 | 147 | 22.2 | |
| Religion | |||||||
| Yes | 33 | 16.3 | 72 | 15.7 | 105 | 15.9 | 0.85 |
| No | 170 | 83.7 | 387 | 84.3 | 557 | 84.1 | |
| Marital status | |||||||
| Single | 66 | 32.5 | 168 | 36.6 | 234 | 35.4 | 0.25 |
| Living with spouse | 133 | 65.5 | 274 | 59.7 | 407 | 61.5 | |
| Others | 4 | 2.0 | 17 | 3.7 | 21 | 3.2 | |
| Education level | |||||||
| High school and below | 35 | 17.2 | 102 | 22.2 | 137 | 20.7 | 0.04 |
| Undergraduate | 104 | 51.2 | 253 | 55.1 | 357 | 53.9 | |
| Postgraduate | 64 | 31.5 | 104 | 22.7 | 168 | 25.4 | |
| Occupation | |||||||
| Health workers | 43 | 21.2 | 77 | 16.8 | 120 | 18.1 | 0.01 |
| Professional educators | 38 | 18.7 | 108 | 23.5 | 146 | 22.1 | |
| White collar workers | 44 | 21.7 | 108 | 23.5 | 152 | 23.0 | |
| Students | 36 | 17.7 | 111 | 24.2 | 147 | 22.2 | |
| Others | 42 | 20.7 | 55 | 12.0 | 97 | 14.7 | |
| Occupational status | |||||||
| Salaried employee | 81 | 39.9 | 183 | 39.9 | 264 | 39.9 | 0.14 |
| Unlimited term full-time contract | 48 | 23.7 | 79 | 17.2 | 127 | 19.2 | |
| Limited term full-time contract | 23 | 11.3 | 51 | 11.1 | 74 | 11.2 | |
| Self-employed/Unemployed/Retired | 39 | 19.2 | 124 | 27.0 | 163 | 24.6 | |
| Others | 12 | 5.9 | 22 | 4.8 | 34 | 5.1 | |
| Mean | SD | Mean | SD | Mean | SD | p value | |
| Number of children | 1.3 | 1.1 | 1.1 | 1.0 | 1.2 | 1.0 | 0.04 |
| Age | 36.9 | 10.7 | 33.5 | 10.5 | 34.5 | 10.7 | <0.01 |
Table 2
Exploratory factor analysis model of sub-domains regarding impacts of COVID-19 on the employment of respondents.
| Maximum score | Increased distress and conflicts due to COVID-19 | Positive attitude towards stability in working condition | Disclosure and discrimination related to COVID-19 work exposure | ||
|---|---|---|---|---|---|
| n | % | ||||
| Enough employees at work to handle all duties | 75 | 11.3 | 0.72 | ||
| Being in good working spirit | 74 | 11.1 | 0.78 | ||
| Being appreciated by the unit leader | 32 | 4.8 | 0.78 | ||
| Being appreciated by the society | 27 | 4.1 | 0.77 | ||
| Worry that colleagues exposed to COVID-19 patient | 60 | 9.0 | 0.36 | ||
| Increase workload | 22 | 3.3 | 0.80 | ||
| Have to work overtime | 22 | 3.3 | 0.82 | ||
| Have to perform duties which never been done before | 20 | 3.0 | 0.72 | ||
| More stressful at work | 6 | 0.9 | 0.65 | ||
| Conflicts occurred among colleagues at work | 4 | 0.6 | 0.57 | ||
| Afraid of sharing with family about risks of exposure to COVID-19 at work | 15 | 2.3 | 0.54 | ||
| Being alienated because employment-related to COVID-19 | 7 | 1.1 | 0.85 | ||
| Relatives being alienated because employment related to COVID-19 | 7 | 1.1 | 0.87 | ||
| Avoid sharing occupational information | 4 | 0.6 | 0.74 | ||
| Cronbach’s alpha | 0.76 | 0.78 | 0.76 | ||
| Mean | 2.7 | 3.4 | 2.1 | ||
| SD | 0.7 | 0.6 | 0.7 | ||
Table 3
Perceived impacts of COVID-19 on the employment of respondents.
| Male | Female | Total | p-value | ||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | n | % | ||
| Impact of COVID-19 on income | |||||||
| Decreased | 64 | 54.7 | 146 | 65.2 | 210 | 61.6 | 0.04 |
| Unchanged/Increased | 53 | 45.3 | 78 | 34.8 | 131 | 38.4 | |
| Changes in income due to COVID-19 | |||||||
| Decreased 80–100% | 9 | 7.7 | 12 | 5.4 | 21 | 6.2 | 0.12 |
| Decreased 60–80% | 11 | 9.4 | 12 | 5.4 | 23 | 6.7 | |
| Decreased 40–60% | 13 | 11.1 | 39 | 17.4 | 52 | 15.3 | |
| Decreased 20–40% | 12 | 10.3 | 34 | 15.2 | 46 | 13.5 | |
| Decreased <20% | 26 | 22.2 | 60 | 26.8 | 86 | 25.2 | |
| Unchanged/Increased | 46 | 39.4 | 67 | 29.9 | 113 | 33.1 | |
| COVID-19 impact on occupation status | |||||||
| Layoffs | 8 | 6.8 | 21 | 9.4 | 29 | 8.5 | 0.33 |
| Reduced working hours/shift | 38 | 32.5 | 65 | 29.0 | 103 | 30.2 | |
| Have to work overtime | 14 | 12.0 | 16 | 7.1 | 30 | 8.8 | |
| None | 57 | 48.7 | 122 | 54.5 | 179 | 52.5 | |
| Mean | SD | Mean | SD | Mean | SD | p-value | |
| Increased distress and conflicts due to COVID-19 | 2.7 | 0.7 | 2.7 | 0.6 | 2.7 | 0.7 | 0.04 |
| Worry that colleagues exposed to COVID-19 patients | 3.2 | 1.1 | 3.2 | 1.1 | 3.2 | 1.1 | 0.63 |
| Increase workload | 2.9 | 1.0 | 2.9 | 0.9 | 2.9 | 0.9 | 0.29 |
| Have to perform duties which never been done before | 2.9 | 1.0 | 2.7 | 1.0 | 2.7 | 1.0 | 0.43 |
| Have to work overtime | 2.8 | 1.1 | 2.5 | 1.0 | 2.6 | 1.0 | 0.12 |
| More stressful at work | 2.5 | 0.9 | 2.5 | 0.9 | 2.5 | 0.9 | 0.76 |
| Conflicts occurred among colleagues at work | 2.3 | 0.9 | 2.2 | 0.8 | 2.2 | 0.8 | 0.54 |
| Positive attitude towards stability in working condition | 3.4 | 0.7 | 3.4 | 0.6 | 3.4 | 0.6 | 0.99 |
| Being in good working spirit | 3.6 | 0.9 | 3.7 | 0.7 | 3.7 | 0.8 | 0.72 |
| Enough employees at work to handle all duties | 3.6 | 1.0 | 3.6 | 0.9 | 3.6 | 0.9 | 0.20 |
| Be appreciated by the unit leader | 3.1 | 1.0 | 3.2 | 0.8 | 3.2 | 0.9 | 0.70 |
| Be appreciated by the society | 3.1 | 0.8 | 3.2 | 0.7 | 3.2 | 0.8 | 0.88 |
| Disclosure and discrimination related to COVID-19 work exposure | 2.2 | 0.8 | 2.1 | 0.7 | 2.1 | 0.7 | 0.06 |
| Being alienated because employment-related to COVID-19 | 2.3 | 0.9 | 2.3 | 1.0 | 2.3 | 1.0 | 0.63 |
| Afraid of sharing with family about risks of exposure to COVID-19 at work | 2.3 | 1.1 | 2.0 | 1.0 | 2.1 | 1.0 | 0.01 |
| Relatives being alienated because employment related to COVID-19 | 2.1 | 1.0 | 2.1 | 0.9 | 2.1 | 0.9 | 0.68 |
| Avoid sharing occupational information | 2.1 | 0.9 | 2.0 | 0.9 | 2.0 | 0.9 | 0.05 |
Table 4
Factors associated with impacts of COVID-19 on employment of respondents.
| Increased distress and conflicts due to COVID-19 | Positive attitude towards stability in working condition | Disclosure and discrimination related to COVID-19 work exposure | ||||
|---|---|---|---|---|---|---|
| Coef. | 95% CI | Coef. | 95% CI | Coef. | 95% CI | |
| Gender (Female vs male) | –0.14* | –0.28; 0.00 | ||||
| Region (Central vs Northern) | –0.28** | –0.49; –0.06 | ||||
| Age group (vs Under 25) | ||||||
| 25–34 | 0.12 | –0.09; 0.33 | ||||
| 35–44 | 0.14 | –0.12; 0.39 | ||||
| Above 44 | 0.25* | –0.01; 0.51 | ||||
| Religion (Yes vs no) | –0.10 | –0.24; 0.04 | ||||
| Marital status (Living with spouse vs Single) | 0.15** | 0.02; 0.29 | ||||
| Education level (High school and below) | ||||||
| Undergraduate | 0.02 | –0.16; 0.20 | ||||
| Postgraduate | 0.15 | –0.05; 0.35 | ||||
| Occupation (vs Health workers) | ||||||
| Professional educators | –0.18*** | –0.30; –0.05 | –0.28*** | –0.44; –0.11 | ||
| White-collar workers | –0.10 | –0.23; 0.03 | ||||
| Students | 0.28* | –0.02; 0.59 | 0.30* | –0.06; 0.66 | ||
| Occupational status (vs Salaried employee) | ||||||
| Self-employed/Unemployed/Retired | –0.53*** | –0.80; –0.26 | –0.11 | –0.30; 0.09 | –0.39** | –0.73; –0.04 |
| Others | –0.17 | –0.41; 0.06 | ||||
| Number of children | 0.05 | –0.03; 0.13 | ||||
[i] *** p < 0.01, ** p < 0.05, * p < 0.1.
