Table 2. Regressions of network measures on lagged health and behavioral traits.
Term | Degree (%) | Closeness (%) | Transitivity (%) | |||
Estimate | 95% CI | Estimate | 95% CI | Estimate | 95% CI | |
Lagged health behaviors | ||||||
BMI | 0.15 | (0.02, 0.27) | 0.02 | (−0.05, 0.08) | 0.00 | (−0.10, 0.10) |
Health | 0.17 | (−0.52, 0.85) | 0.45 | (0.09, 0.81) | 0.11 | (−0.46, 0.68) |
Health behavior | 0.54 | (−0.21, 1.28) | −0.26 | (−0.63, 0.11) | 0.06 | (−0.57, 0.68) |
Pro-social behavior | 0.38 | (−0.52, 1.27) | 0.46 | (0.02, 0.91) | 0.48 | (−0.25, 1.20) |
Other predictors | ||||||
Wave | −0.88 | (−2.59, 0.83) | 1.65 | (0.81, 2.50) | 1.83 | (0.20, 3.45) |
Female | 5.98 | (4.38, 7.59) | 0.86 | (0.08, 1.63) | −2.18 | (−3.44, −0.91) |
Age (10 s of years) | 0.59 | (0.02, 1.16) | 0.11 | (−0.16, 0.37) | 0.89 | (0.42, 1.36) |
Lag dependent variable | 0.31 | (0.26, 0.35) | 0.46 | (0.41, 0.51) | 0.63 | (0.59, 0.67) |
Note: When the full model in Equation 5 was fit, (current) pro-social behavior was highly predictive of degree (2.54 percentage-points, 1.39–3.67).