Table 4.

Association between the abundance of indoor microbial species and wheeze, rhinitis and rhinoconjunctivitis in high schools in Shanxi, China. The β coefficient and 95% confidence interval (CI) were calculated by 3-level logistic regression models adjusted for gender, smoking and parental asthma and allergy. Regression analyses for wheeze and rhinitis were conducted for species differentially present in urban and rural schools (LDA > 2) and mean relative abundance > 0.05%; and thus, 117 species were analyzed. Regression analyses for rhinoconjunctivitis were only conducted for 21 species that were potentially associated with rhinitis (p < 0.05). Only associations with p < 0.01 are presented in this table. The false discovery rate (FDR) was calculated by the Benjamini-Hochberg (BH) procedure. “uc” means uncharacterized

Symptoms	Domain/kingdom	Class	Species	Relative abundance (%)		β (95% CI)	p value	FDR
				Urban	Rural
Wheeze	Bacteria	Gammaproteobacteria	uc Pseudoalteromonas	0.08	0.05	0.11 (0.03, 0.19)	0.008	0.16
Rhinitis	Bacteria	Actinobacteria	Brachybacterium sp. P6-10-X1	1.36	2.75	− 0.12 (− 0.21, − 0.03)	0.009	0.17
		Betaproteobacteria	uc Betaproteobacteria	0.10	0.08	0.08 (0.03, 0.13)	0.002	0.08
		Gammaproteobacteria	uc Pseudoalteromonas	0.08	0.05	0.06 (0.03, 0.10)	< 0.001	< 0.01
	Protista	Conoidasida	Neospora caninum	0.09	0.01	0.03 (0.01, 0.04)	0.002	0.08
Rhinoconjunctivitis	Bacteria	Flavobacteriia	uc Flavobacteriaceae	0.20	0.31	− 0.29 (− 0.51, − 0.07)	0.009	0.09
		Actinobacteria	Microbacterium foliorum	0.08	0.06	0.14 (0.04, 0.24)	0.006	0.09