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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