Table 1.
Associations of socio-demographic and lockdown measures with the psycho-social impact of COVID-19 pandemic, India.
| Characteristics | Psycho-socio impact | p- value | ||||
| Mild | Moderate | Severe | ||||
| Socio-demographic | Age (in years) Mean ± standard deviation | 30 ± 10 | 29 ± 9 | 30 ± 10 | 0.484 | |
| Gender | Male | 363 (57.3) | 196 (48.6) | 118 (43.2) | 0.001 | |
| Female | 267 (42.1) | 205 (50.9) | 152 (55.7) | |||
| Prefer not to say | 4 (0.6) | 2 (0.5) | 3 (1.1) | |||
| Job profile | Salaried- Government | 86 (13.6) | 55 (13.6) | 14 (5.1) | <0.001 | |
| Salaried- Private/Semi-government | 186 (29.3) | 116 (28.8) | 63 (23.1) | |||
| Student | 175 (27.6) | 108 (26.8) | 76 (27.8) | |||
| Unemployed | 17 (2.7) | 12 (3.0) | 6 (2.2) | |||
| Healthcare | 90 (14.2) | 48 (11.9) | 28 (10.3) | |||
| Housewife | 19 (3.0) | 17 (4.2) | 23 (8.4) | |||
| Contractual | 14 (2.2) | 13 (3.2) | 11 (4.0) | |||
| Business/Entrepreneur | 27 (4.3) | 25 (6.2) | 43 (15.8) | |||
| Daily wage | 1 (2.0) | 1 (2.0) | 1 (4.0) | |||
| Retired | 6 (0.9) | 1 (0.2) | 2 (0.7) | |||
| Others | 11 (1.7) | 7 (1.7) | 6 (2.2) | |||
| Physical activity | Not at all | 57 (9.0) | 40 (9.9) | 48 (17.6) | <0.001 | |
| Rarely | 169 (26.7) | 162 (40.2) | 124 (45.4) | |||
| Twice a week | 73 (11.5) | 48 (11.9) | 23 (8.4) | |||
| Daily | 335 (52.8) | 153 (38.0) | 78(28.6) | |||
| Lockdown Measures | Follow lockdown | No | 07 (1.1) | 1 (0.2) | 0(0.0) | 0.002 |
| Yes, sometimes | 28 (4.4) | 34 (8.4) | 26 (9.5) | |||
| Yes, always | 599 (94.5) | 368 (91.3) | 246 (90.1) | |||
| Satisfied with government strategy | Yes | 496 (78.5) | 309 (76.9) | 206 (75.5) | 0.282 | |
| No | 43 (6.8) | 35 (8.7) | 32 (11.7) | |||
| May be | 92 (14.7) | 58 (14.4) | 35 (12.8) | |||
| Lockdown can prevent the spread | Yes | 550 (86.8) | 343 (85.1) | 228 (83.5) | 0.238 | |
| No | 17 (2.7) | 16 (4.0) | 16 (5.9) | |||
| Maybe | 67(10.6) | 44 (10.9) | 29 (10.6) | |||