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Table 2 Estimates for OLS regression of serious events per asthmatic child per year

From: The impact of energy retrofits on pediatric asthma exacerbation in a Boston multi-family housing complex: a systems science approach

Predictors

Serious events per asthmatic child per year

Estimates

95% CI

(Intercept)

0.76***

0.74–0.78

Base FEV1%

−0.02***

− 0.02 - -0.02

Windows (open) a

−0.07***

− 0.09 - -0.05

Scenario: Retrofit/min a

0.07***

0.05–0.09

Scenario: Retrofit/plusa

−0.08***

− 0.10 - -0.06

Smoking (Yes) a

0.09***

0.08–0.11

Cooking (Heavy) a

0.05***

0.03–0.07

Apartment type (Corner) a

−0.05***

− 0.06 - -0.04

Apartment level (Upper) a

0.02***

0.01–0.03

Housekeeping (Average) a

−0.01

− 0.01 – 0.00

Interaction terms

 Windows (open): Retrofit/min

− 0.06***

−0.08 - -0.04

 Windows (open): Retrofit/plus

0.09***

0.07–0.11

 Smoking (Yes): Retrofit/min

0.03**

0.01–0.05

 Smoking (Yes): Retrofit/plus

0.00

−0.02 - 0.02

 Cooking (Heavy): Retrofit/min

0.01

− 0.01 - 0.03

 Cooking (Heavy): Retrofit/plus

−0.01*

− 0.03 – 0.00

 Windows (open): Smoking (Yes)

−0.05***

− 0.06 - -0.03

 Windows (open): Cooking (Heavy)

−0.04***

− 0.05 - -0.02

 Apartment type (Corner): Apartment level (Upper)

0.05***

0.04–0.07

Observations

30,060

  1. aAll predictors were included as binomial factors with Baseline scenario, normal cooking, no smoking, closed windows, and a corner apartment on the ground level as the baseline.
  2. * Significant at p < 0.05, ** significant at p < 0.01, *** significant at p < 0.001