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Table 5 Univariate and multivariate logistic regression to assess the effectiveness of protective health behaviour and measures

From: Effectiveness of personal protective health behaviour against COVID-19

  Crude Odds Ratio (95% CI) Adjusted Odds Ratioa (95% CI)
Age 1.005 (0.977, 1.035)  
Male 1.492 (0.663, 3.359)  
Hypertension 1.163 (0.153, 8.817)  
Had physical contact with anyone who had respiratory symptoms 10.4 (3.270, 33.079)***  
Had physical contact with suspected/confirmed COVID-19 patients 12.381 (4.261, 35.973)*** 12.108 (3.380, 43.376)***
Wearing a mask whenever outdoors 0.191 (0.075, 0.486)*** 0.307 (0.109, 0.867)*
Participated in high-risk gathering activities (interacted with people within 2 m without wearing a mask) 1.155 (1.089, 1.225)*** 1.129 (1.048, 1.216)***
Wash hands after handling food or cooking 0.186 (0.071, 0.485)***  
Wash hands after a toilet trip 0.355 (0.130, 0.971)*  
Wash hands after outdoor activity 0.027 (0.007, 0.104)*** 0.021 (0.003, 0.134)***
Wash hands after sneezing or coughing 0.286 (0.127, 0.648)***  
Wash hands after handling pets 0.324 (0.142, 0.739)**  
Wash hands before touching the mouth and nose area 0.156 (0.069, 0.353)*** 0.303 (0.114, 0.808)*
Handwashing for over 20 s each time 0.427 (0.145, 1.258)  
  1. a Univariate logistic regression was used to identify factors associated with COVID-19 infection. Then, those significant factors were pooled and selected to build a multivariate logistic model via a forward-selection stepwise method
  2. *P < 0.05
  3. **P < 0.01
  4. ***P < 0.005