Literature DB >> 26713400

Chronic disease risks and use of a smartphone application during a physical activity and dietary intervention in Australian truck drivers.

Nicholas D Gilson1, Toby G Pavey1, Corneel Vandelanotte2, Mitch J Duncan3, Sjaan R Gomersall1, Stewart G Trost4, Wendy J Brown1.   

Abstract

OBJECTIVE: This study examined chronic disease risks and the use of a smartphone activity tracking application during an intervention in Australian truck drivers (April-October 2014).
METHODS: Forty-four men (mean age=47.5 [SD 9.8] years) completed baseline health measures, and were subsequently offered access to a free wrist-worn activity tracker and smartphone application (Jawbone UP) to monitor step counts and dietary choices during a 20-week intervention. Chronic disease risks were evaluated against guidelines; weekly step count and dietary logs registered by drivers in the application were analysed to evaluate use of the Jawbone UP.
RESULTS: Chronic disease risks were high (e.g. 97% high waist circumference [≥ 94 cm]). Eighteen drivers (41%) did not start the intervention; smartphone technical barriers were the main reason for drop out. Across 20-weeks, drivers who used the Jawbone UP logged step counts for an average of 6 [SD 1] days/week; mean step counts remained consistent across the intervention (weeks 1-4=8,743[SD 2,867] steps/day; weeks 17-20=8,994[SD 3,478] steps/day). The median number of dietary logs significantly decreased from start (17 [IQR 38] logs/weeks) to end of the intervention (0 [IQR 23] logs/week; p<0.01); the median proportion of healthy diet choices relative to total diet choices logged increased across the intervention (weeks 1-4=38[IQR 21]%; weeks 17-20=58[IQR 18]%).
CONCLUSIONS: Step counts were more successfully monitored than dietary choices in those drivers who used the Jawbone UP. IMPLICATIONS: Smartphone technology facilitated active living and healthy dietary choices, but also prohibited intervention engagement in a number of these high-risk Australian truck drivers.
© 2015 Public Health Association of Australia.

Entities:  

Keywords:  chronic diseases; smartphones; truck drivers

Mesh:

Year:  2015        PMID: 26713400     DOI: 10.1111/1753-6405.12501

Source DB:  PubMed          Journal:  Aust N Z J Public Health        ISSN: 1326-0200            Impact factor:   2.939


  15 in total

1.  Lifestyle counseling in overweight truck and bus drivers - Effects on dietary patterns and physical activity.

Authors:  Jatta Puhkala; Katriina Kukkonen-Harjula; Minna Aittasalo; Kirsi Mansikkamäki; Markku Partinen; Christer Hublin; Paula Kärmeniemi; Mikael Sallinen; Seppo Olkkonen; Kari Tokola; Anna Ojala; Clas-Håkan Nygård; Mikael Fogelholm
Journal:  Prev Med Rep       Date:  2016-08-15

Review 2.  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

3.  Feasibility and preliminary efficacy of the 'HEYMAN' healthy lifestyle program for young men: a pilot randomised controlled trial.

Authors:  Lee M Ashton; Philip J Morgan; Melinda J Hutchesson; Megan E Rollo; Clare E Collins
Journal:  Nutr J       Date:  2017-01-13       Impact factor: 3.271

4.  The impact of an m-Health financial incentives program on the physical activity and diet of Australian truck drivers.

Authors:  Nicholas D Gilson; Toby G Pavey; Olivia Rl Wright; Corneel Vandelanotte; Mitch J Duncan; Sjaan Gomersall; Stewart G Trost; Wendy J Brown
Journal:  BMC Public Health       Date:  2017-05-18       Impact factor: 3.295

Review 5.  Evaluating the Impact of Physical Activity Apps and Wearables: Interdisciplinary Review.

Authors:  Claire McCallum; John Rooksby; Cindy M Gray
Journal:  JMIR Mhealth Uhealth       Date:  2018-03-23       Impact factor: 4.773

6.  Usage, Acceptability, and Effectiveness of an Activity Tracker in a Randomized Trial of a Workplace Sitting Intervention: Mixed-Methods Evaluation.

Authors:  Charlotte L Brakenridge; Genevieve N Healy; Elisabeth Ah Winkler; Brianna S Fjeldsoe
Journal:  Interact J Med Res       Date:  2018-03-02

7.  Experiences of mobile health in promoting physical activity: A qualitative systematic review and meta-ethnography.

Authors:  Daniel D Carter; Katie Robinson; John Forbes; Sara Hayes
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

Review 8.  The role of smartphones in encouraging physical activity in adults.

Authors:  Melanie I Stuckey; Shawn W Carter; Emily Knight
Journal:  Int J Gen Med       Date:  2017-09-12

9.  The Effectiveness of a Smartphone Application on Modifying the Intakes of Macro and Micronutrients in Primary Care: A Randomized Controlled Trial. The EVIDENT II Study.

Authors:  Jose I Recio-Rodriguez; Cristina Agudo Conde; Maria J Calvo-Aponte; Natividad Gonzalez-Viejo; Carmen Fernandez-Alonso; Nere Mendizabal-Gallastegui; Beatriz Rodriguez-Martin; Jose A Maderuelo-Fernandez; Emiliano Rodriguez-Sanchez; Manuel A Gomez-Marcos; Luis Garcia-Ortiz
Journal:  Nutrients       Date:  2018-10-10       Impact factor: 5.717

Review 10.  Mobile-Based Interventions for Dietary Behavior Change and Health Outcomes: Scoping Review.

Authors:  Atreyi Kankanhalli; Jieun Shin; Hyelim Oh
Journal:  JMIR Mhealth Uhealth       Date:  2019-01-21       Impact factor: 4.773

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