Factors associated with probability of personal digital assistant-based dietary self-monitoring in those with type 2 diabetes.
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.
Sevick
Mary Ann
MA
Center for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, PA, USA. sevick@pitt.edu
Stone
Roslyn A
RA
Zickmund
Susan
S
Wang
Yuanyuan
Y
Korytkowski
Mary
M
Burke
Lora E
LE
D001521:Behavior Therapy; D034201:Computers, Handheld; D003924:Diabetes Mellitus, Type 2 / Q000178:diet therapy*; D004032:Diet; D005260:Female; D015438:Health Behavior; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D010349:Patient Compliance; D012648:Self Care / Q000295:instrumentation*; D016896:Treatment Outcome