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i -2 (log-likelihood) for the model containing each specific block of distal and ultimate variables.
However, out of every distal and ultimate category of the model, several variables were available to operationalize the constructs.
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.
j Log-likelihood ratio or change in -2 (log-likelihood) is presented for each block of distal or ultimate variables entered in the multivariate model.
We hypothesized that both distal and ultimate variables would influence the rate of co-occurrence of chronic disease behavioral risk factors among youth.
Also, the mechanisms by which distal and ultimate factors influence multiple behaviors may be more complex than what is depicted in the conceptual framework of the study.
As expected, both distal and ultimate variables contributed to the likelihood of the occurrence of multiple behavioral risk factors during follow-up.
To our knowledge, no study has yet investigated the longitudinal relation between a large set of distal and ultimate variables and the occurrence of multiple behavioral risk factors for chronic diseases among youth.
We used longitudinal Poisson regression, within a generalized estimating equations (GEE) framework, to assess the longitudinal associations between selected individual/social distal and ultimate variables and the multiple risk factor score.
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