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dc.contributor.authorCoombes, Jeff S
dc.contributor.authorKeating, Shelley E
dc.contributor.authorMielke, Gregore I
dc.contributor.authorFassett, Robert G
dc.contributor.authorCoombes, Brooke K
dc.contributor.authorO'Leary, Kaitlyn P
dc.contributor.authorCox, Emily R
dc.contributor.authorBurton, Nicola W
dc.date.accessioned2021-08-15T23:33:13Z
dc.date.available2021-08-15T23:33:13Z
dc.date.issued2022
dc.identifier.issn0195-9131
dc.identifier.doi10.1249/MSS.0000000000002768
dc.identifier.urihttp://hdl.handle.net/10072/406857
dc.description.abstractINTRODUCTION: Innovative strategies are needed to enable people with type 2 diabetes (T2D) to self-manage physical activity (PA). Personal Activity Intelligence (PAI) is a new metric that uses the heart rate response to PA to inform the user as to whether they are doing enough PA to reduce the risk of premature mortality. The PAI score reflects PA over the previous seven days with the goal to maintain a score ≥ 100. To investigate the feasibility, acceptability and efficacy of the PAI e-Health Program in people with T2D. METHODS: 30 participants with T2D who were not meeting PA guidelines were randomly assigned to 12 weeks of either 1) PAI e-Health Program or 2) PA attention control. The PAI e-Health Program consisted of receiving a wrist-worn heart rate monitor and an app with the PAI metric, and attending 4x2hr weekly sessions of exercise and counseling. Feasibility and acceptability of the Program were evaluated by achievement of a PAI score ≥ 100 and participant feedback. Efficacy was determined from changes in glycemic control, cardiorespiratory fitness, exercise capacity (time-on-test), body composition, sleep time and health-related quality of life. RESULTS: Program participants in the PAI e-Health Program had a mean ± SD PAI score of 119.7 ± 60.6 and achieved ≥100 PAI on 56.4% of the days. The majority of participants (80%) intended to continue to use PAI monitoring. Compared to control, the PAI group significantly improved their exercise capacity (mean difference, 95% confidence interval) (63 s, 17.9 to 108.0 s), sleep time (67.2 min, 7.2 to 127.1), total percent body fat (-1.3%, -2.6 to -0.1%) and gynoid fat percent (-1.5%, -2.6 to -0.5). CONCLUSIONS: The PAI e-Health Program is feasible, acceptable and efficacious in people with T2D.
dc.description.peerreviewedYes
dc.description.sponsorshipUniversity of Queensland - Diabetes Australia Research Trust
dc.languageeng
dc.publisherOvid Technologies (Wolters Kluwer Health)
dc.relation.ispartofpagefrom18
dc.relation.ispartofpageto27
dc.relation.ispartofissue1
dc.relation.ispartofjournalMedicine & Science in Sports & Exercise
dc.relation.ispartofvolume54
dc.subject.fieldofresearchSports science and exercise
dc.subject.fieldofresearchClinical sciences
dc.subject.fieldofresearchMedical physiology
dc.subject.fieldofresearchcode4207
dc.subject.fieldofresearchcode3202
dc.subject.fieldofresearchcode3208
dc.titlePersonal Activity Intelligence (PAI) e-Health Program in People with Type 2 Diabetes: A Pilot Randomized Controlled Trial
dc.typeJournal article
dc.type.descriptionC1 - Articles
dcterms.bibliographicCitationCoombes, JS; Keating, SE; Mielke, GI; Fassett, RG; Coombes, BK; O'Leary, KP; Cox, ER; Burton, NW, Personal Activity Intelligence (PAI) e-Health Program in People with Type 2 Diabetes: A Pilot Randomized Controlled Trial, Medicine & Science in Sports & Exercise, 2021
dc.date.updated2021-08-15T23:21:25Z
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2022 LWW. This is a non-final version of an article published in final form in Medicine and Science in Sports and Exercise, 51 (1), pp. 18-27, 2022. Reproduced in accordance with the copyright policy of the publisher. Please refer to the journal link for access to the definitive, published version.
gro.hasfulltextFull Text
gro.griffith.authorBurton, Nicola W.
gro.griffith.authorCoombes, Brooke K.


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