Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.
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Date
2010-07-20
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Abstract
Knowledge of factors associated with the use of technology could inform the design of technology based behavioral interventions This study examined modifiable and nonmodifiable factors associated with technology based self monitoring 123 participants with type 2 diabetes self monitored diet using a personal digital assistant in a 6 month behavioral intervention Multinomial logistic regression was used to examine probability of nonadherent and suboptimally adherent behavior relative to adherent behavior Sociodemographic characteristics were not associated with probability of self monitoring Probability of adherence generally was greater in the weeks preceding no group session and lower in the weeks following no group session or following skipped sessions Non modifiable factors suggested by the literature to be associated with poorer access to technology lower income older age minority race and lower education were not associated with probability of self monitoring in this population