Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans

dc.contributor.authorDugas, Michelle
dc.contributor.authorCrowley, Kenyon
dc.contributor.authorGao, Guodong Gordon
dc.contributor.authorXu, Timothy
dc.contributor.authorAgarwal, Ritu
dc.contributor.authorKruglanski, Arie W.
dc.contributor.authorSteinle, Nanette
dc.date.accessioned2018-06-29T17:01:09Z
dc.date.available2018-06-29T17:01:09Z
dc.date.issued2018-03-07
dc.descriptionFunding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.en_US
dc.description.abstractmHealth tools to help people manage chronic illnesses have surged in popularity, but evidence of their effectiveness remains mixed. The aim of this study was to address a gap in the mHealth and health psychology literatures by investigating how individual differences in psychological traits are associated with mHealth effectiveness. Drawing from regulatory mode theory, we tested the role of locomotion and assessment in explaining why mHealth tools are effective for some but not everyone. A 13-week pilot study investigated the effectiveness of an mHealth app in improving health behaviors among older veterans (n = 27) with poorly controlled Type 2 diabetes. We developed a gamified mHealth tool (DiaSocial) aimed at encouraging tracking of glucose control, exercise, nutrition, and medication adherence. Important individual differences in longitudinal trends of adherence, operationalized as points earned for healthy behavior, over the course of the 13-week study period were found. Specifically, low locomotion was associated with unchanging levels of adherence during the course of the study. In contrast, high locomotion was associated with generally stronger adherence although it exhibited a quadratic longitudinal trend. In addition, high assessment was associated with a marginal, positive trend in adherence over time while low assessment was associated with a marginal, negative trend. Next, we examined the relationship between greater adherence and improved clinical outcomes, finding that greater adherence was associated with greater reductions in glycated hemoglobin (HbA1c) levels. Findings from the pilot study suggest that mHealth technologies can help older adults improve their diabetes management, but a “one size fits all” approach may yield suboptimal outcomes.en_US
dc.identifierhttps://doi.org/10.13016/M2RV0D39R
dc.identifier.citationDugas M, Crowley K, Gao GG, Xu T, Agarwal R, Kruglanski AW, et al. (2018) Individual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veterans. PLoS ONE 13 (3): e0192807. https://doi.org/10.1371/journal. pone.0192807en_US
dc.identifier.urihttp://hdl.handle.net/1903/20699
dc.language.isoen_USen_US
dc.publisherPLoS (Public Library of Science)en_US
dc.relation.isAvailableAtRobert H. Smith School of Businessen_us
dc.relation.isAvailableAtDecision & Information Technologiesen_us
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us
dc.titleIndividual differences in regulatory mode moderate the effectiveness of a pilot mHealth trial for diabetes management among older veteransen_US
dc.typeArticleen_US

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