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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