Jordin Sagastume
Research Mentor: David Conroy
Mentor Department: Kinesiology, Kinesiology
Author(s): Jordin Sagastume, Yingjia Liu, David Conroy
Session: Session 7 (4:00 PM – 4:50 PM)
Presentation Type: Poster 49
Abstract
Insufficient physical activity is becoming prominent among young adults. To counteract the increased risk for chronic disease, there have been efforts using technological intervention methods, and wearable devices. Precision Adaptive Intervention Messaging (Precision AIM) is a technology-based intervention that delivers personalized messages to promote physical activity in this demographic. This study examined differences between participants who were classified as responders and non-responders after a 6-month behavioral intervention and identified baseline characteristics that differentiated those groups. Outcomes of physical activity were measured objectively using ActiGraph devices over 7-day incremental periods and at a six-month follow-up. Data were processed with ActiLife software and participants with increased step change by 500+ steps were classified as responders. Step change was calculated as the difference between follow-up and baseline daily steps. Of the 58 participants, 43 were classified as responders and 15 were classified as non-responders. At baseline, responders had stronger exercise identities (M = 2.90, SD = 0.92) than non-responders (M = 2.23, SD = 1.02; t (22.41) = 2.24, p = .035). There were no significant differences found between both groups’ intentions, and enjoyment of physical activity (p > .05). These results demonstrate how exercise identity plays a crucial role in predicting intervention response, whereas variables like enjoyment and intention of exercise were not significant predictors. Future work should focus on adapting interventions to support individuals with lower baseline identity, who may be more prone to nonresponse, to maximize intervention responsiveness.
