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Table 3 Predictors of non-adherence to preventive behaviours: a binary logistic regression analysis

From: Non-adherence to preventive behaviours during the COVID-19 epidemic: findings from a community study

 

Model 1

Model 2

 

Odds Ratio

95% CI

Odds Ratio

95% CI

Sex

 Males

2.53***

[2.15–2.97]

2.37***

[2.00–2.80]

 Females

Ref.

 

Ref.

 

Age

 18–29 years

4.30***

[3.30–5.61]

2.87***

[2.14–3.86]

 30–49 years

1.54**

[1.21–1.97]

1.25

[0.95–1.63]

 50–64 years

1.14

[0.88–1.48]

1.04

[0.79–1.37]

 65≤

Ref.

 

Ref.

 

Education

 Less than high school

1.41**

[1.12–1.77]

1.42***

[1.12–1.81]

 High school

1.17

[0.92–1.50]

1.17

[0.91–1.50]

 College or University

Ref.

 

Ref.

 

Settlement types

 Budapest (capital)

Ref.

 

Ref.

 

 County-town

1.22

[0.96-1.54]

1.18

[0.89–1.55]

 Other city

1.26*

[1.00–1.58]

1.50**

[1.18–1.90]

 Village and smaller settlements

1.00

[0.77–1.30]

1.31*

[1.02–1.68]

Having vulnerable family members in the household

 No

1.28**

[1.10–1.49]

1.11

[0.94–1.30]

 Yes

Ref.

 

Ref.

 

Having a chronic illness

 No

1.06

[0.88–1.27]

0.96

[0.91–1.08]

 Yes

Ref.

 

Ref.

 

Perceived susceptibility of asymptomatic or mild condition

 

0.95

[0.87–1.03]

Perceived susceptibility of severe condition

 

0.99

[0.91–1.08]

Perceived severity

 

0.67***

[0.60–0.75]

  1. Note: N = 5152. (missing is N = 102). CI confidence intervals. *:p < 0.05; **:p < 0.01; ***:p < 0.001. Boldfaced coefficients are significant at least at p < 0.05. Binary outcome variable: 0: adherent and 1: non-adherent. Analyses are performed with the unweighted dataset