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. Author manuscript; available in PMC: 2020 Oct 1.
Published in final edited form as: Environ Res. 2019 Aug 8;177:108639. doi: 10.1016/j.envres.2019.108639

Table 2.

Airborne metal concentrations (ng/m3), odds ratios (OR) and 95% confidence intervals (CIs) for the relationship between residential airborne heavy metals quintiles and ER/PR-negative tumor receptor status (n= 672)

Ql Q2 Q3 Q4 Q5 P-trend
Antimony Conc. (ng/m3) <0.02 0.02–0.03 0.03–0.04 0.04–0.06 0.06+
OR (95% CI) Ref. 1.3 (0.7, 2.5) 1.7 (0.8, 3.3) 2.1 (1.1, 4.1) 1.8 (0.9, 3.7) 0.05
Arsenic Cone. (ng/m3) <0.82 0.83–0.96 0.97–1.19 1.20–1.74 1.75+
OR (95% CI) Ref. 0.9 (0.5, 1.7) 0.8 (0.4, 1.5) 1.3 (0.7, 2.5) 0.8 (0.5, 1.5) 0.89
Beryllium Conc. (ng/m3) <0.05 0.05–0.06 0.06–0.06 0.06–0.09 0.09+
OR (95% CI) Ref. 0.5 (0.3, 0.9) 0.5 (0.3, 1.0) 0.8 (0.4, 1.5) 0.7 (0.3, 1.5) 0.53
Cadmium Conc. (ng/m3) <0.23 0.23–0.32 0.33–0.54 0.54–0.90 0.91+
OR (95% CI) Ref. 1.5 (0.8, 2.9) 1.5 (0.8, 2.9) 1.1 (0.5, 2.2) 2.3 (1.2, 4.4) 0.04
Chromium Conc. (ng/m3) <0.65 0.66–0.72 0.73–0.89 0.90–1.64 1.65+
OR (95% CI) Ref. 1.1 (0.6, 2.1) 1.3 (0.7, 2.4) 1.2 (0.7, 2.3) 1.0 (0.5, 2.1) 0.83
Cobalt Conc. (ng/m3) < 0.010 0.010–0.014 0.014–0.017 0.017–0.024 0.024+
OR (95% CI) Ref. 1.4 (0.7, 2.8) 2.2 (1.2, 4.2) 1.8 (0.9, 3.4) 2.0 (0.9, 4.4) 0.04
Lead Conc. (ng/m3) <4.0 4.1–4.4 4.4–4.7 4.7–5.3 5.3+
OR (95% CI) Ref. 1.4 (0.7, 2.8) 1.9 (0.9, 3.9) 1.4 (0.7, 2.9) 1.4 (0.7, 2.9) 0.16
Manganese Conc. (ng/m3) <2.4 2.5–3.2 3.2–3.8 3.8–4.8 4.8+
OR (95% CI) Ref. 2.8 (1.3, 5.8) 2.7 (1.3, 5.9) 3.4 (1.5, 7.7) 2.1 (0.9, 4.8) 0.13
Mercury Conc. (ng/m3) 0.068 0.069–0.077 0.077–0.084 0.085–0.103 0.104+
OR (95% CI) Ref. 1.0 (0.5, 2.0) 1.0 (0.5, 1.9) 1.9 (1.0, 3.5) 1.0 (0.5, 2.1) 0.23
Nickel Conc. (ng/m3) <0.93 0.94–1.08 1.08–1.19 1.20–1.46 1.47+
OR (95% CI) Ref. 1.0 (0.5, 2.0) 0.8 (0.4, 1.6) 0.9 (0.4, 1.8) 1.7 (0.8, 3.4) 0.26
Selenium Conc. (ng/m3) <0.09 0.09–0.11 0.11–0.16 0.16–0.20 0.20+
OR (95% CI) Ref. 1.2 (0.6,2.2) 1.1 (0.6, 2.0) 1.9 (1.0, 3.6) 1.1 (0.6, 2.0) 0.35

Models adjusted for age, race/ethnicity, education, BMI, income, census tract affluence and disadvantage, and reproductive factors.