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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