TABLE 3—

Associations Between Current Asthma and Housing Status in Study Subpopulations According to Age, Smoking Status, and Obesity Status: Boston, MA; Boston Behavioral Risk Factor Surveillance System; 2010–2015

	Housing Status (Ref = Homeowner)
Subpopulation Variable	PHD Resident, OR (95% CI)	RA Renter, OR (95% CI)	Non-RA Renter, OR (95% CI)	Nonrenter Nonowner, OR (95% CI)	Interaction P
Age, y					.19
18–34	1.08 (0.46, 2.53)	2.08 (0.94, 4.58)	0.79 (0.46, 1.38)	1.14 (0.55, 2.39)
≥ 35	2.74 (1.86, 4.05)	2.46 (1.70, 3.54)	1.27 (0.98, 1.66)	1.54 (0.84, 2.82)
Smoking status					.04
Ever smoker	2.58 (1.47, 4.54)	3.28 (1.97, 5.46)	0.99 (0.62, 1.58)	1.72 (0.80, 3.69)
Never smoker	1.60 (0.92, 2.81)	1.61 (0.92, 2.81)	1.06 (0.71, 1.58)	1.27 (0.67, 2.41)
Obesity status					.19
Obese	1.97 (1.05, 3.69)	2.23 (1.22, 4.05)	0.81 (0.48, 1.34)	1.94 (0.90, 4.16)
Not obese	1.93 (1.15, 3.25)	2.10 (1.25, 3.52)	1.12 (0.78, 1.62)	1.10 (0.58, 2.11)

Note. CI = confidence interval; OR = odds ratio; PHD = public housing development; RA = rental assistance. ORs for lifetime and current asthma were estimated in logistic regression models with homeowner as the reference category and with the domain statement variable as the subpopulation variable. All models adjusted for survey year, age, sex, race/ethnicity, highest educational attainment, and household income but did not adjust for any of the covariates included in the domain statement. We assessed the overall presence of effect modification according to subpopulation variable by including an interaction term between public housing status and the subpopulation variable; P values for the interaction terms are presented.