Table 3.
Multiple logistic regression models demonstrating the link between secondhand smoke exposure and poor sleep quality among non-smoking university students in Bangladesh.
| Subject | Variable(s) | Unadjusted model | Adjusted model † | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| COR | SE | Wald | 95% CI | P | AOR | SE | Wald | 95% CI | P | ||
| Model 1: All (n = 390) | SHS exposure | ||||||||||
| Yes | 1.51 | 0.21 | 3.92 | 1.00–2.26 | 0.048 | 1.61 | 0.24 | 3.96 | 1.01–2.58 | 0.047 | |
| No | Ref | Ref | |||||||||
| Model 2: Males (n = 210) | SHS exposure | ||||||||||
| Yes | 1.57 | 0.28 | 2.58 | 0.91–2.71 | 0.109 | 2.03 | 0.34 | 4.45 | 1.05–3.93 | 0.035 | |
| No | Ref | Ref | |||||||||
| Model 3: Females (n = 180) | SHS exposure | ||||||||||
| Yes | 1.42 | 0.35 | 1.05 | 0.73–2.77 | 0.306 | 1.44 | 0.39 | 0.88 | 0.67–3.09 | 0.349 | |
| No | Ref | Ref | |||||||||
SHS = secondhand smoke, COR = crude odds ratio, SE = standard error, CI = confidence interval, p = probability value, AOR = adjusted odds ratio, Ref = reference group. Bolded values indicate statistical significance (p < 0.05).
†The summary of adjusted model 1, 2 and 3 is presented in Table 1.