Table 4.

Linear regression analyses

Dependent variable(s) in the linear regression model	beta and p value for the smoking variable only
Smoking (unadjusted model)	beta = 0.25, p = 0.002
Smoking adjusted for age, gender, caffeine consumption per day in mg, taking a tremor-inducing medication, used an asthma inhaler on the day of testing, Cumulative Illness Rating Scale score, education, number of rooms in home, white race, occupational category	beta = 0.21, p = 0.01
Smoking adjusted for blood lead concentration	beta = 0.24, p = 0.009
Smoking adjusted for blood harmane concentration	beta = 0.22, p = 0.019
Smoking adjusted for serum p,p’-DDE concentration	beta = 0.20, p = 0.03
Smoking adjusted for serum p,p’-DDT concentration	beta = 0.20, p = 0.03
Smoking adjusted for serum β-hexachlorocyclohexane concentration	beta = 0.21, p = 0.03
Smoking adjusted for serum oxychlordane concentration	beta = 0.21, p = 0.03
Smoking adjusted for serum trans-nonachlor concentration	beta = 0.20, p = 0.03
Smoking adjusted for serum dieldrin concentration	beta = 0.22, p = 0.02

All beta values are for the smoking variable only and not for the entire model.