Table 3.
Outcome: pre/diabetesa | Outcome: BMI interceptb | Outcome: BMI slopeb | |
---|---|---|---|
Model 1 | |||
Birth weight | −0.05 (−0.19, 0.10) | — | — |
Model 2 | |||
Birth weight | — | −0.94 (−2.71, 0.84) | 1.07 (−0.30, 2.45) |
Birth weight2 | — | 0.24 (−0.03, 0.51) | −0.16 (−0.37, 0.06) |
Model 3 | |||
Birth weight | −0.07 (−0.24, 0.10) | −0.86 (−2.61, 0.89) | 0.85 (−0.44, 2.14) |
Birth weight2 | — | 0.22 (−0.04, 0.48) | −0.12 (−0.32, 0.07) |
BMI intercept | 0.03 (−0.01, 0.06) | — | — |
BMI slope | 0.29 (0.19, 0.39) | — | — |
National Longitudinal Study for Adolescent and Adult Health (n = 6401 males). Associations estimated from gender-stratified path analysis models predicting latent BMI trajectories from adolescence (age 12–19) to adulthood (age 25–32). All models adjusted for race/ethnicity, parental education, and parental income at Wave I and time-varying smoking, participant income, and participant education. Bold font indicates statistical significance (p < 0.05).
Log-odds estimates (95% confidence interval); odds ratios are calculated as exp(coefficient).
Unstandardized linear regression coefficients.
Model 1 examines the overall association between birth weight and pre/diabetes.
Model 2 examines the association between birth weight and BMI trajectory.
Model 3 examines the full pathway from birth weight to BMI trajectory and BMI trajectory to pre/diabetes.