Table 5.
Logistic regression analysis to identify the association between use of AYUSH-based measures and symptomatic status of respondents who tested positive for COVID-19.
| Variable | Symptomatic COVID-19–positive participants (n=4775) | Asymptomatic COVID-19–positive participants (n=8545) | |
| Used AYUSHa-based measuresb,c | |||
|
|
Yes | 3902 (81.7) | 8100 (94.8) |
|
|
No | 873 (18.3) | 445 (5.2) |
| Comorbidities | |||
|
|
Absent | 1576 (33.0) | 4499 (52.6) |
|
|
Present | 3199 (67.0) | 4046 (47.4) |
| Risk category | |||
|
|
Not in a risk category | 785 (16.7) | 4345 (50.8) |
|
|
In a risk category | 3900 (83.3) | 4200 (49.2) |
aAYUSH: Ayurveda, yoga and naturopathy, Unani, Siddha, Sowa Rigpa, and homoeopathy.
b Crude odds ratio (95% CI) 4.01 (3.61-4.59). The crude odds ratio was computed through univariate logistic regression analysis by taking the symptomatic status of COVID-19–positive respondents as the dependent variable and use of AYUSH-based measures as an independent variable without adjusting for confounders.
cAdjusted odds ratio (95% CI) 3.48 (3.06-3.95). The adjusted odds ratio was computed through multivariate analysis adjusted for the presence of comorbidities and risk category as confounders.