i -2 (log-likelihood) for the model containing each specific block of distal and ultimate variables.
As a result, ultimate variables are hypothesized to strongly influence multiple behaviors.
Analyses assessing the direct influence of social distal and social ultimate variables on the rate of multiple risk factor score also showed that both social distal and social ultimate variables contributed to the model (Table 4).
Longitudinal Poisson models assessing the direct influence of individual distal and individual ultimate variables on the rate of multiple risk factor score showed that both individual distal and individual ultimate variables contributed to the model (Table 3).
g-2 (log-likelihood) for the model containing each specific block of distal and/or ultimate variables.
f -2 (log-likelihood) for the model containing each specific block of distal and/or ultimate variables.
According to the Theory of Triadic Influence, individual and social factors influence health behaviors through 3 tiers of constructs, represented by several proximal, distal and ultimate variables.
Individual ultimate variables referred to demographic and personality factors such as sex, age at baseline 10-11 yearss in Cycle 4), and anxiety.
