Association of systemic inflammation and coagulation biomarkers with source-specific PM_2.5 mass concentrations among young and elderly subjects in central Tehran

Figures & data

Table 1. Spearman rank order correlation analyses between PM_2.5 sources in (a) the Tohid retirement home and (b) the school dormitory

	Vehicular emissions	Secondary aerosol	Biomass burning	Industrial emissions	Soil	Road dust	Measured PM2.5
(a)
Vehicular emissions	1.000	−0.303	−0.393	0.045	0.054	0.429	0.687
Secondary aerosol	−0.303	1.000	−0.152	−0.333	0.087	0.159	0.006
Biomass burning	−0.393	−0.152	1.000	0.053	−0.317	−0.418	−0.349
Industrial emissions	0.045	−0.333	0.053	1.000	−0.158	0.017	−0.237
Soil	0.054	0.087	−0.317	−0.158	1.000	0.087	0.021
Road dust	0.429	0.159	−0.418	0.017	0.087	1.000	0.319
Measured PM2.5	0.687	0.006	−0.349	−0.237	0.021	0.319	1.000
(b)
Vehicular emissions	1.000	−0.132	−0.095	0.058	−0.168	−0.338	0.929
Secondary aerosol	−0.132	1.000	−0.078	0.007	−0.197	−0.176	0.119
Biomass burning	−0.095	−0.078	1.000	−0.029	0.254	0.252	−0.046
Industrial emissions	0.058	0.007	−0.029	1.000	0.004	0.035	−0.047
Soil	−0.168	−0.197	0.254	0.004	1.000	−0.031	0.030
Road dust	−0.338	−0.176	0.252	0.035	−0.031	1.000	−0.412**
Measured PM2.5	0.929	0.119	−0.046	−0.047	0.030	−0.412**	1.000

Note. Bold value indicate Spearman rank order is significant

Figure 1. Associations between white blood cells (WBC) and source-specific PM2.5 concentrations in the panel of (a) the elderly (n = 44) and (b) healthy young adults (n = 40). Estimated percent changes in the blood marker (adjusted coefficient and 95% CI) corresponds to an IQR increase in total PM2.5 and source-specific PM2.5 concentrations (see IQR in Table S2 in the Supplementary material), adjusted for temperature and relative humidity

Figure 2. Associations between von Willebrand factor (vWF) and source-specific PM2.5 concentrations in the panel of (a) the elderly (n = 44) and (b) healthy young adults (n = 40). Estimated percent changes in the blood marker (adjusted coefficient and 95% CI) corresponds to an IQR increase in total PM2.5 and source-specific PM2.5 concentrations (see IQR in Table S2 in Supplementary material), adjusted for temperature and relative humidity

Figure 3. Associations between high sensitive C-reactive protein (hsCRP) and source-specific PM2.5 concentrations in the panel of the elderly (n = 44). Estimated percent changes in the blood marker (adjusted coefficient and 95% CI) corresponds to an IQR increase in total PM2.5 and source-specific PM2.5 concentrations (see IQR in Table S2 in Supplementary material), adjusted for temperature and relative humidity

Figure 4. Associations between tumor necrosis factor-soluble receptor-II (sTNF-RII) and source-specific PM2.5 concentrations in the panel of (a) the elderly (n = 44) and (b) healthy young adults (n = 40). Estimated percent changes in the blood marker (adjusted coefficient and 95% CI) corresponds to an IQR increase in total PM2.5 and source-specific PM2.5concentrations (see IQR in Table S2 in Supplementary material), adjusted for temperature and relative humidity

Figure 5. Associations between interleukin-6 (IL-6) and source-specific PM2.5 concentrations in the panel of (a) the elderly (n = 44) and (b) healthy young adults (n = 40). Estimated percent changes in the blood marker (adjusted coefficient and 95% CI) corresponds to an IQR increase in total PM2.5 and source-specific PM2.5 concentrations (see IQR in Table S2 in Supplementary material), adjusted for temperature and relative humidity