Table 4.
Partial Correlations | |||||||
---|---|---|---|---|---|---|---|
Predictor | β | SEa | P | 95% CI | R2 (%)* | p-value | |
Allocation (Public houses) b | −10.4 | 5.1 | 0.04 | −20.5 | −0.3 | 2.2 | 0.07 |
Presence of infant | −9.5 | 4.6 | 0.04 | −18.7 | −0.3 | 2.6 | 0.05 |
Number of cigarettes | |||||||
1-3 c | 4.1 | 7.9 | 0.61 | −11.6 | 19.7 | 0.3 | 0.56 |
>3 c | 29.0 | 11.0 | 0.01 | 7.3 | 50.6 | 4.8* | 0.01 |
Bathing water heating fuel | |||||||
Gas d | 8.5 | 4.8 | 0.08 | −1.0 | 18.0 | 1.4 | 0.15 |
Coal/wood/waste d | 25.6 | 10.0 | 0.01 | 5.8 | 45.3 | 5.3** | 0.00 |
PM2.5Outdoor | 0.5 | 0.1 | 0.00 | 0.3 | 0.7 | 26.0** | 0.00 |
Intercept | 36.5 | 8.0 | 0.00 | 20.7 | 52.3 |
Abbreviations: SE, Standard error; CI, Confidence intervals; R2, Regression coefficient
RL Variance robust; R2: 41 %
Control group: Slum houses
Not smoke indoor
Nothing or electricity
Significant partial correlation (p<0.05) between PM2.5 indoor and each variable holding the other variables constant.
Significant partial correlation (p<0.001) between PM2.5 indoor and each variable holding the other variables constant.