Table 1.
Percentage wise distribution of socio-demographic variables.
| Demographic variables – category | Total sample (n = 918) |
|
|---|---|---|
| Number | (%) | |
| Age (in years) | ||
| 25–34 | 532 | (58%) |
| 35–44 | 223 | (24%) |
| 45–54 | 112 | (12%) |
| 55–64 | 43 | (5%) |
| 65–74 | 7 | (1%) |
| 75–84 | 1 | (0%) |
| > 84 | 0 | (0%) |
| Gender | ||
| Male | 544 | (59%) |
| Female | 374 | (41%) |
| Occupation | ||
| Government | 73 | (8%) |
| Health care | 225 | (25%) |
| Housewife | 64 | (7%) |
| IT professional | 86 | (9%) |
| Others | 56 | (6%) |
| Police | 6 | (1%) |
| Private | 194 | (21%) |
| Self employed | 72 | (8%) |
| Student | 110 | (12%) |
| Un-employed | 32 | (3%) |
| Marital status | ||
| Married | 583 | (63%) |
| Separated | 15 | (2%) |
| Single | 320 | (35%) |
| Number of children | ||
| 0 | 429 | (46%) |
| 1 | 239 | (26%) |
| 2 | 235 | (26%) |
| > 2 | 15 | (2%) |
| Are you a smoker? | ||
| Yes | 79 | (9%) |
| No | 839 | (91%) |
| Among smokers: how many cigarettes do you smoke? No. of smokers = 79 | ||
| 1–5 cigarettes | 55 | (66%) |
| 5–10 cigarettes | 14 | (18%) |
| > 10 cigarettes | 10 | (13%) |
| Among smokers: has your smoking frequency increased during this lock-down period? No. of smokers = 79 | ||
| Yes | 25 | (32%) |
| No | 54 | (68%) |
| Do you consume alcohol? | ||
| Yes | 85 | (9%) |
| No | 833 | (91%) |
| Has your alcohol consumption increased during this lockdown? No. of alcohol consumers = 85 | ||
| Yes | 12 | (14%) |
| No | 73 | (86%) |
| Quantity of alcohol consumed per-week. No. of alcohol consumers = 85 | ||
| 1–2 drinks | 62 | (73%) |
| 3–4 drinks | 17 | (20%) |
| 5–6 drinks | 4 | (5%) |
| > 10 drinks | 2 | (2%) |