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. 2016 May-Jun;18(82):133–142. doi: 10.4103/1463-1741.181996

Table 3.

Multivariate associations between self-reported traffic intensity and type 2 diabetes mellitus (logistic regression)

Sample size (n = 513) P-value OR 95% CI
Self-reported traffic intensity
low ref. 1.00 .
moderate 0.836 1.15 (0.30, 4.45)
high 0.533 1.40 (0.48, 4.07)
Age (continuous) <0.001 1.06 (1.03, 1.09)
Gender: Female (ref. “male”) 0.012 0.29 (0.11, 0.76)
Ethnicity: Non-Bulgarian (ref. “Bulgarian”) 0.566 1.48 (0.39, 5.70)
Body mass index (continuous) 0.003 1.15 (1.05, 1.25)
Family history of T2DM: Yes (ref. “no”) 0.054 2.39 (0.98, 5.80)
Noise sensitivity (continuous) 0.324 1.48 (0.68, 3.22)
Air pollution annoyance (continuous) 0.522 1.08 (0.85, 1.39)
Noise annoyance (continuous) 0.340 0.89 (0.69, 1.14)
Bedroom location: Noisy façade (ref. “quiet side”) 0.028 3.35 (1.14, 9.87)
Sleep disturbance (continuous) 0.019 1.22 (1.03, 1.44)
Pack-years of smoking (continuous) 0.550 0.99 (0.97, 1.02)

Note. ref. = Reference category, T2DM = Type 2 diabetes mellitus, Model is based on 50 imputed datasets, Average Nagelkerke R2 = 0.39, Post-hoc power is 0.15 for “high traffic exposure” (specifications: Two tails, α = 0.05, binomial distribution, 6.9% prevalence of T2DM, n = 513, R2 with other covariates = 0.2)