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Table 4 Results of ordinal logistic regression analyses for the related factors of the common colda

From: Smoking, leisure-time exercise and frequency of self-reported common cold among the general population in northeastern China: a cross-sectional study

Variables

Statistical ordinal logistic parameters

Model 1b

Model 2c

β

OR(95% CI)

P-value

β

OR(95% CI)

P-value

Cigarette smoking categories

 Non-smokers

 

Ref

  

Ref

 

 Passive smokers

0.49

1.64(1.32–2.03)

< 0.001

0.46

1.59(1.27–1.99)

< 0.001

 Past smokers

0.29

1.34(0.85–2.10)

0.207

0.28

1.32(0.84–2.09)

0.229

 Light current smokers

0.18

1.19(0.80–1.77)

0.384

0.05

1.05(0.70–1.59)

0.801

 Heavy current smokers

0.33

1.39(0.92–2.11)

0.121

0.24

1.26(0.81–1.96)

0.295

Frequency of leisure-time exercise

 Low (< 4 days/month)

 

Ref

  

Ref

 

 Medium (1–2 days/week)

− 0.11

0.89(0.71–1.13)

0.344

− 0.04

0.96(0.76–1.22)

0.764

 High (≥3 days/week)

− 0.45

0.64(0.48–0.84)

0.001

−0.31

0.74(0.55–0.98)

0.035

  1. aEpisodes of self-reported common cold in the previous year
  2. Ordinal logistic regression models were used to analyse the association of cigarette smoking status, frequency of leisure-time exercise and self-reported frequency of common cold
  3. bAdjusted models control for gender and age
  4. cAdjusted models control for gender, age, ethnicity, education levels, BMI, frequency of drinking, sleep duration, SRSS, SRH, self-perceived life stress, self-perceived work stress, SAS, SDS, LY, NE and MO
  5. Statistical significance: P < 0.05