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Table 4 Factors influencing smoking behaviour of online ride-hailing drivers

From: Factors influencing smoking behaviour of online ride-hailing drivers in China: a cross-sectional analysis

Variables OR* (95% CI**) P-value
Gender   < 0.001
 Male Reference  
 Female 0.519 (0.416 to 0.647)  
Area of residence   < 0.001
 Eastern regions Reference  
 Central regions 1.172 (1.049 to 1.309) 0.005
 Western regions 1.330 (1.194 to 1.480) < 0.001
Period of work   < 0.001
 Daytime Reference  
 Night 1.938 (1.463 to 2.568) < 0.001
 Both daytime and night 1.287 (1.164 to 1.424) < 0.001
 Non-fixed working time 1.393 (1.223 to 1.588) < 0.001
Drinking status   < 0.001
 Nondrinker Reference  
 Current drinker 1.663 (1.526 to 1.813) < 0.001
Eating habits   < 0.001
 Extremely regular Reference  
 Regular in general 1.071 (0.949 to 1.208) 0.269
 Extremely irregular 1.370 (1.233 to 1.523) < 0.001
The number of days in a week of engaging in at least 10 min of moderate or vigorous exercise   0.001
 0 day Reference  
 1–2 days 0.987 (0.893 to 1.091) 0.800
  ≥ 3 days 0.752 (0.646 to 0.875) < 0.001
Level of the initiative to acquire health knowledge   < 0.001
 Never Reference  
 Occasionally 0.882 (0.783 to 0.992) 0.037
 Frequently 0.675 (0.591 to 0.770) < 0.001
Weight status   < 0.001
 Normal weight Reference  
 Underweight 1.249 (1.001 to 1.559) 0.049
 Overweight 0.846 (0.775 to 0.924) < 0.001
  1. Note: (1) The modelling test of the logistic regression:
  2. Hosmer and Lameshow’s P-value = 0.767 (P > 0.05)
  3. −2LL = 11,875.540 (P < 0.001)
  4. Cox and Snell’s R2 = 0.050
  5. (2) *OR, odds ratio; **CI, confidence interval