Fig 1.
A schematic of the Add Health study design (reproduced from [33]).
Table 1.
Descriptive statistics for the variables of interest.
Fig 2.
Correlates to age at menarche.
(A) Kaplan-Meier survival estimation of percent of population who have not reached menarche by perceived safety of adolescent neighborhood. (B) Comparison of mean age at menarche by perceived safety of adolescent neighborhood, t(3,604) = 3.304, p = .0005. For both A & B graphics, N = 425 in unsafe neighborhood, N = 3,181 in safe neighborhood. (C) Comparison of age at menarche by household family income in early life, β = 0.0015, p<0.01, N = 2702.
Table 2.
Regression analysis of demographic variables predicting age at menarche.
Table 3.
Female-specific regression analysis of demographic variables predicting number of live births in early adulthood.
Table 4.
Male-specific regression analysis of demographic variables predicting number of live births in early adulthood.
Fig 3.
Correlates to number of children in early adulthood.
(A) Comparison of number of children in early adulthood by expectation of living to age 35 reported as mean, +1 standard deviation from the mean, and -1 standard deviation from the mean, β = -0.046, p<0.0001, N = 2,365. (B) Number of children in early adulthood by perceived safety of early environment, β = -0.467, p<0.0001, N = 3,844. (C) Number of children in early adulthood by family income quintile in adolescence, β = -0.004, p<0.0001, N = 2,859.