Objective. To evaluate the relative contributions of personal models and de
pression to the prediction of multiple outcomes in diabetes.
Design and methods. Participants (N=111) in a randomized trial of an interv
ention to increase dietary self-management for diabetes patients were asses
sed for individual differences on three components of personal models (Seri
ousness, Treatment Effectiveness and Control) and depression on two occasio
ns over a 3-month period. The predictive utility of personal models versus
depression was evaluated for dietary, physiologic and quality-of-life outco
mes, controlling for baseline levels.
Results. Personal models and depression were relatively stable over 3 month
s (r=.56-.70). Personal models were predictive of outcomes in each category
(eating patterns, p<.01; glycosylated haemoglobin, p<.01; physical functio
ning, p<.05; mental health, p<.05), whereas depression was only predictive
of the mental health component of quality of life (p<.01).
Conclusions. Personal models appeared to be stronger and more consistent pr
edictors of outcome than depression. The implications of these findings wer
e discussed in terms of the self-regulatory model and interventions to impr
ove diabetes self-management.