Literature DB >> 34805390

Using an activity tracker to increase motivation for physical activity in patients with type 2 diabetes in primary care: a randomized pilot trial.

Cynthia Pelletier1,2, Marie-Pierre Gagnon2,3, Natalie Alméras4,5, Jean-Pierre Després2,4,5, Paul Poirier4,6, Angelo Tremblay2,4,5, Christian Chabot2, Caroline Rhéaume1,2,4.   

Abstract

BACKGROUND: Adopting healthy lifestyle habits reduces the risk of type 2 diabetes (T2D) and its complications. The use of an activity tracker to monitor physical activity (PA) could favor behavior changes in patients with chronic diseases such as diabetes. The aims of this study were: (I) to evaluate the impact of an activity tracker on PA and cardiometabolic risk variables in patients with T2D; (II) to assess the feasibility of its implantation in a primary care setting.
METHODS: This 3-month study was a pilot randomized controlled trial of 30 patients with T2D followed at a university-affiliated Family Medicine Group. Patients were randomly assigned to either: (I) control group, including a PA promotion intervention supported by a kinesiologist or (II) intervention group, including a PA promotion intervention supported by a kinesiologist with the addition of an activity tracker (Fitbit). Cardiometabolic risk variables, PA and motivation were assessed at baseline and after three months. Satisfaction and acceptability of wearing the activity tracker were measured in the intervention group.
RESULTS: PA assessed by questionnaires increased in both groups, change being greater in the intervention group (P<0.05). Autonomous motivation in both groups was higher than controlled motivation (P<0.001). Eighty-six percent of the participants in the intervention group were satisfied with their activity tracker use and the compliance remained high. High-density lipoprotein cholesterol increased in the intervention group and decreased in the control group (P=0.014). Resting systolic and diastolic blood pressure decreased over time in both groups (P<0.05) whereas glycated hemoglobin tended to decrease in both groups (P=0.080). Significant correlations were observed between average steps per day and changes in waist circumference (pre: -0.721, P=0.044; post: -0.736, P=0.038), body mass index (pre: -0.764, P=0.010; post: -0.771, P=0.009) and fat percentage (pre: -0.654, P=0.040; post: -0.686, P=0.028) in the intervention group.
CONCLUSIONS: Our pilot study shows that the use of an activity tracker improves cardiometabolic risk variables in patients with T2D and could potentially be a motivation tool to increase PA in primary care setting. 2021 mHealth. All rights reserved.

Entities:  

Keywords:  Activity tracker; motivation behavior; physical activity (PA); type 2 diabetes (T2D)

Year:  2021        PMID: 34805390      PMCID: PMC8572757          DOI: 10.21037/mhealth-20-154

Source DB:  PubMed          Journal:  Mhealth        ISSN: 2306-9740


  34 in total

1.  What is the role of smartphones on physical activity promotion? A systematic review and meta-analysis.

Authors:  Natan Feter; Tiago Silva Dos Santos; Eduardo Lucia Caputo; Marcelo Cozzensa da Silva
Journal:  Int J Public Health       Date:  2019-02-13       Impact factor: 3.380

2.  Effects of different modes of exercise training on glucose control and risk factors for complications in type 2 diabetic patients: a meta-analysis.

Authors:  Neil J Snowling; Will G Hopkins
Journal:  Diabetes Care       Date:  2006-11       Impact factor: 19.112

3.  Cardiovascular effects of intensive lifestyle intervention in type 2 diabetes.

Authors:  Rena R Wing; Paula Bolin; Frederick L Brancati; George A Bray; Jeanne M Clark; Mace Coday; Richard S Crow; Jeffrey M Curtis; Caitlin M Egan; Mark A Espeland; Mary Evans; John P Foreyt; Siran Ghazarian; Edward W Gregg; Barbara Harrison; Helen P Hazuda; James O Hill; Edward S Horton; Van S Hubbard; John M Jakicic; Robert W Jeffery; Karen C Johnson; Steven E Kahn; Abbas E Kitabchi; William C Knowler; Cora E Lewis; Barbara J Maschak-Carey; Maria G Montez; Anne Murillo; David M Nathan; Jennifer Patricio; Anne Peters; Xavier Pi-Sunyer; Henry Pownall; David Reboussin; Judith G Regensteiner; Amy D Rickman; Donna H Ryan; Monika Safford; Thomas A Wadden; Lynne E Wagenknecht; Delia S West; David F Williamson; Susan Z Yanovski
Journal:  N Engl J Med       Date:  2013-06-24       Impact factor: 91.245

4.  The Godin-Shephard leisure-time physical activity questionnaire: validity evidence supporting its use for classifying healthy adults into active and insufficiently active categories.

Authors:  Steve Amireault; Gaston Godin
Journal:  Percept Mot Skills       Date:  2015-03-23

Review 5.  Effects of supervised exercise on lipid profiles and blood pressure control in people with type 2 diabetes mellitus: a meta-analysis of randomized controlled trials.

Authors:  Yasuaki Hayashino; Jeffrey L Jackson; Norio Fukumori; Fumiaki Nakamura; Shunichi Fukuhara
Journal:  Diabetes Res Clin Pract       Date:  2012-10-29       Impact factor: 5.602

6.  Self-tracking of Physical Activity in People With Type 2 Diabetes: A Randomized Controlled Trial.

Authors:  Thea J M Kooiman; Martijn de Groot; Klaas Hoogenberg; Wim P Krijnen; Cees P van der Schans; Adriaan Kooy
Journal:  Comput Inform Nurs       Date:  2018-07       Impact factor: 1.985

7.  World Medical Association Declaration of Helsinki: ethical principles for medical research involving human subjects.

Authors: 
Journal:  JAMA       Date:  2013-11-27       Impact factor: 56.272

Review 8.  Exercise, physical activity, and self-determination theory: a systematic review.

Authors:  Pedro J Teixeira; Eliana V Carraça; David Markland; Marlene N Silva; Richard M Ryan
Journal:  Int J Behav Nutr Phys Act       Date:  2012-06-22       Impact factor: 6.457

Review 9.  Efficacy of interventions that use apps to improve diet, physical activity and sedentary behaviour: a systematic review.

Authors:  Stephanie Schoeppe; Stephanie Alley; Wendy Van Lippevelde; Nicola A Bray; Susan L Williams; Mitch J Duncan; Corneel Vandelanotte
Journal:  Int J Behav Nutr Phys Act       Date:  2016-12-07       Impact factor: 6.457

Review 10.  Can consumer wearable activity tracker-based interventions improve physical activity and cardiometabolic health in patients with chronic diseases? A systematic review and meta-analysis of randomised controlled trials.

Authors:  Wouter M A Franssen; Gregor H L M Franssen; Jan Spaas; Francesca Solmi; Bert O Eijnde
Journal:  Int J Behav Nutr Phys Act       Date:  2020-05-11       Impact factor: 6.457

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  1 in total

1.  Treatment self-regulation questionnaire across three self-care behaviours: An instrument validation study in Iranian patients with type 2 diabetes mellitus.

Authors:  Zahra Hazrati-Meimaneh; Hadi Zamanian; Somayyeh Shalchi Oghli; Shima Moradnejad; Fatemeh Karkehabadi; Ata Pourabbasi; Mohammadali Amini-Tehrani
Journal:  Nurs Open       Date:  2022-04-30
  1 in total

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