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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