A multi-city study of indoor air quality in green vs non-green low-income housing

The condition of the home is a strong predictor of exposure to environmental contaminants, with low-income households being particularly vulnerable. Therefore, improving housing standards is a priority. Housing built to "green" standards, with improved building methods and materials, has been suggested to reduce contaminants. However, evidence is limited as to which contaminants are reduced. The Green Housing Study was conducted to address this issue. The study hypothesis was that housing built using green components has lower concentrations of environmental contaminants compared to conventional housing.

A repeated-measures, 12-month cohort study was performed in three U.S. cities. Data were collected in the home at three time points throughout a year. The level of contaminants were estimated using air samples for particulate matter and black carbon, dust samples for aeroallergens and pesticides, and resident or study staff reporting evidence of mold. To investigate source(s) of PM_2.5 and black carbon, multivariable models using stepwise variable selection were developed.

In adjusted generalized estimating equations (GEE) models, black carbon concentration (μg/m³) (β = -0.22, 95% CI = -0.38 to -0.06, p = 0.01), permethrin (OR = 0.28, 95% CI = 0.15-0.49, p < 0.0001), and reported mold (OR = 0.29, 95% CI = 0.13-0.68, p = 0.003) were significantly lower in green homes. Cockroach antigen was also lower in green homes (OR = 0.59, 95% CI = 0.33-1.08, p = 0.09), although not statistically significant. We found that 68% of PM_2.5 was explained by dwelling type and smoking and 42% of black carbon was explained by venting while cooking and use of a gas stove.

This study provides quantitative data suggesting benefits of incorporating green building practices on the level of numerous environmental contaminants known to be associated with health. Occupant behavior, particularly smoking, is an important contributor to indoor air pollution.