Table 3.

Correlations between potential covariates and telomere length

Sex	r = .005, p = .935
Age	r = −.005, p = .934
Current income	r = .028, p = .636
Current stimulant medication use	r = −.082, p = .138
Race/ethnicity
Caucasian race	r = .091, p = .100
African American	r = −.030, p = .590
Hispanic/Latino	r = −.023, p = .677
Other	r = −.084, p = .130
Prenatal tobacco exposure	r = .092, p = .137
Prenatal alcohol exposure	r = .096, p = .126
Preterm birth (gestational age < 37 weeks)	r = .112, p = .057
Childhood secondhand smoke exposure	r = .028, p = .639
Childhood stimulant medication use	r = −.102, p = .091
Childhood income	r = −.010, p = .871
Family Environment Scale – Conflict score	r = −.035, p = .564
Highest level maternal education
High School	r = .132, p = .025
Some college or college degree	r = −.017, p = .768
Graduate degree	r = −.109, p = .065
Highest level paternal education
High School	r = .085, p = .150
Some college or college degree	r = −.086, p = .144
Graduate degree	r = .001, p = .983

Note: Sex was coded as male = 0, female = 1; Age, current income, childhood income, and Family Environment Scale – conflict score are continuous variables; All other variables are dichotomous and were coded no = 0, yes = 1