Table 3.

Predictors of Indoor PM_2.5 concentrations in public and slum housing, reported by households (n=169)

Variables	Intercept	Regression coefficienta	Standard Error	p
Housing intervention	45.3	−14.9	5.30	0.01*
Home predictors
Years of education (informant)	29.4	0.6	0.82	0.48
Years of residence	34.8	−0.1	0.31	0.73
Proportion of children <15b	29.8	9.4	1.75	0.59
Presence of infants	40.3	−14.1	4.85	0.00*
Crowding Index c	33.3	0.4	1.48	0.79
Space used Index d	35.6	−2.1	7.41	0.78
Family income <300 USD e	46.0	8.7	5.12	0.09
Indoor predictors
Daily home heating (hours)	33.7	0.4	0.34	0.24
Cooking duration (hours)	31.2	2.2	1.81	0.23
Open windows (hours)	31.2	0.9	0.83	0.26
Number of cigarettes
1-3	31.6	3.2	9.1	0.72
>3		31.7	13.1	0.02*
Home heating fuel
Gas/kerosene f	34.2	−5.3	5.13	0.31
Coal/wood/waste f		1.4	7.36	0.07
Problems with ventilation(Self-report)	29.9	8.9	4.91	0.07
Bathing water heating fuel
Gas f	29.5	4.1	5.02	0.42
Coal/wood/waste f		30.9	1.03	0.00*
Trash burning
Medium g	31.4	5.0	6.71	0.46
High g		1.0	6.20	0.09
Sampling month (Jun-Jul)h	33.9	13.3	5.92	0.03*

^aAdjusted by Outdoor PM_2.5 concentration;

^bnumber of children < 15/ total residents;

^cnumber of residents/rooms used

^dnumber of total rooms/ rooms used;

^eIncome >300 USD ;

^fNothing or electric;

^gLow (Never, rare) vs. High (always, almost always); Never vs. Medium (sometimes);

^hAug-Sep

^*p-values<0.05