BMI can influence adult males’ and females’ airway hyperresponsiveness differently

Table 5 Logistic binary regression model to evaluate the AHR risk of the various considered covariates in males with different levels of airways hyperresponsiveness (compared to normal subjects)

	All AHR subjects^a			Mild AHR^a			Moderate AHR^a			Severe AHR^a
	OR	95% CI	p	OR	95% CI	p	OR	95% CI	p	OR	95% CI	P
*Aged 27–44 years)* ^b	0.627	0.496-0.793	0.0001	0.757	0.545-1.051	0.097	0.605	0.450-0.813	0.001	0.572	0.407-0.804	0.001
*Age ≥ 45 years* ^b	0.453	0.344-0.596	0.0001	0.672	0.461-0.979	0.038	0.359	0.247-0.523	0.0001	0.408	0.272-0.610	0.0001
*Smoking* ^c	1.101	0.869-1.395	0.424	1.212	0.877-1.675	0.244	1.147	0.854-1.540	0.361	0.874	0.613-1.245	0.455
*FEV* ₁ *% of predicted*	0.934	0.921-0.948	0.0001	0.969	0.950-0.989	0.002	0.936	0.919-0.954	0.0001	0.899	0.880-0.918	0.0001
*FVC % of predicted*	1.039	1.025-1.054	0.0001	1.009	0.990-1.029	0.360	1.043	1.025-1.062	0.0001	1.066	1.045-1.087	0.0001
*Winter* ^d	1.104	0.841-1.448	0.477	1.253	0.860-1.824	0.240	0.988	0.695-1.404	0.945	1.185	0.800-1.757	0.398
*Spring* ^d	1.103	0.849-1.434	0.463	1.106	0.765-1.599	0.592	1.157	0.829-1.614	0.392	1.229	0.840-1.799	0.289
*Summer* ^d	0.886	0.665-1.181	0.410	0.932	0.620-1.399	0.733	0.979	0.680-1.411	0.910	0.793	0.515-1.223	0.295
*Underweight* ^ef	0.384	0.149-0.988	0.047	0.466	0.125-1.734	0.255	0.596	0.198-1.791	0.357	-	-	-
*Overweight* ^ef	1.247	0.999-1.557	0.051	1.200	0.883-1.632	0.244	1.099	0.823-1.467	0.522	1.366	0.993-1.879	0.055
*Obese* ^ef	1.059	0.748-1.501	0.746	0.924	0.559-1.527	0.757	1.435	0.928-2.220	0.105	0.885	0.520-1.508	0.654

Subjects with AHR = PD₂₀ < 3200 μg; Severe AHR = PD₂₀ ≤ 200 μg; moderate AHR = PD₂₀ > 200 and ≤ 800 μg; mild AHR = PD₂₀ > 800 μg; ^avs subjects with normal reactivity (without PD₂₀); ^bvs age ≤ 26 years; ^cvs non-smoking; ^dvs Autumn; ^evs normal weight subjects; ^fadjusted for age, smoking, FEV₁, FVC and seasons.

ISSN: 2049-6958