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      Using Web 2.0 applications to promote health-related physical activity: findings from the WALK 2.0 randomised controlled trial

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          Abstract

          Background/Aim

          Web 2.0 internet technology has great potential in promoting physical activity. This trial investigated the effectiveness of a Web 2.0-based intervention on physical activity behaviour, and the impact on website usage and engagement.

          Methods

          504 (328 women, 126 men) insufficiently active adult participants were randomly allocated to one of two web-based interventions or a paper-based Logbook group. The Web 1.0 group participated in the existing 10 000 Steps programme, while the Web 2.0 group participated in a Web 2.0-enabled physical activity intervention including user-to-user interaction through social networking capabilities. ActiGraph GT3X activity monitors were used to assess physical activity at four points across the intervention (0, 3, 12 and 18 months), and usage and engagement were assessed continuously through website usage statistics.

          Results

          Treatment groups differed significantly in trajectories of minutes/day of physical activity (p=0.0198), through a greater change at 3 months for Web 2.0 than Web 1.0 (7.3 min/day, 95% CI 2.4 to 12.3). In the Web 2.0 group, physical activity increased at 3 (mean change 6.8 min/day, 95% CI 3.9 to 9.6) and 12 months (3.8 min/day, 95% CI 0.5 to 7.0), but not 18 months. The Logbook group also increased physical activity at 3 (4.8 min/day, 95% CI 1.8 to 7.7) and 12 months (4.9 min/day, 95% CI 0.7 to 9.1), but not 18 months. The Web 1.0 group increased physical activity at 12 months only (4.9 min/day, 95% CI 0.5 to 9.3). The Web 2.0 group demonstrated higher levels of website engagement (p=0.3964).

          Conclusions

          In comparison to a Web 1.0 intervention, a more interactive Web 2.0 intervention, as well as the paper-based Logbook intervention, improved physical activity in the short term, but that effect reduced over time, despite higher levels of engagement of the Web 2.0 group.

          Trial registration number

          ACTRN12611000157976.

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          Most cited references51

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          Health benefits of physical activity: the evidence.

          The primary purpose of this narrative review was to evaluate the current literature and to provide further insight into the role physical inactivity plays in the development of chronic disease and premature death. We confirm that there is irrefutable evidence of the effectiveness of regular physical activity in the primary and secondary prevention of several chronic diseases (e.g., cardiovascular disease, diabetes, cancer, hypertension, obesity, depression and osteoporosis) and premature death. We also reveal that the current Health Canada physical activity guidelines are sufficient to elicit health benefits, especially in previously sedentary people. There appears to be a linear relation between physical activity and health status, such that a further increase in physical activity and fitness will lead to additional improvements in health status.
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            Global physical activity levels: surveillance progress, pitfalls, and prospects

            The Lancet, 380(9838), 247-257
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              Calibration of the Computer Science and Applications, Inc. accelerometer.

              We established accelerometer count ranges for the Computer Science and Applications, Inc. (CSA) activity monitor corresponding to commonly employed MET categories. Data were obtained from 50 adults (25 males, 25 females) during treadmill exercise at three different speeds (4.8, 6.4, and 9.7 km x h(-1)). Activity counts and steady-state oxygen consumption were highly correlated (r = 0.88), and count ranges corresponding to light, moderate, hard, and very hard intensity levels were or = 9499 cnts x min(-1), respectively. A model to predict energy expenditure from activity counts and body mass was developed using data from a random sample of 35 subjects (r2 = 0.82, SEE = 1.40 kcal x min(-1)). Cross validation with data from the remaining 15 subjects revealed no significant differences between actual and predicted energy expenditure at any treadmill speed (SEE = 0.50-1.40 kcal x min(-1)). These data provide a template on which patterns of activity can be classified into intensity levels using the CSA accelerometer.
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                Author and article information

                Journal
                Br J Sports Med
                Br J Sports Med
                bjsports
                bjsm
                British Journal of Sports Medicine
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0306-3674
                1473-0480
                October 2017
                3 January 2017
                : 51
                : 19
                : 1433-1440
                Affiliations
                [1 ] School of Science and Health, Western Sydney University , Sydney, New South Wales, Australia
                [2 ] Department of Food, Nutrition, Dietetics and Health, Kansas State University , Manhattan, Kansas, USA
                [3 ] School of Human Health and Social Sciences, Central Queensland University , Rockhampton, Queensland, Australia
                [4 ] School of Health and Exercise Science, University of British Columbia , Kelowna, British Columbia, Canada
                [5 ] School of Health Science, Flinders University , Adelaide, South Australia, Australia
                [6 ] School of Computing, Engineering and Mathematics, Western Sydney University , Sydney, New South Wales, Australia
                [7 ] Faculty of Physical Education and Recreation, University of Alberta , Edmonton, Alberta, Canada
                [8 ] Hunter Medical Research Institute, University of Newcastle , Newcastle, Australia
                [9 ] School of Medicine and Public Health, Priority Research Centre for Physical Activity and Nutrition, Faculty of Health and Medicine, University of Newcastle , Newcastle, New South Wales, Australia
                Author notes
                [Correspondence to ] Professor Gregory S Kolt, School of Science and Health, Western Sydney University, Locked Bag 1797, Penrith, Sydney, NSW 2751, Australia; g.kolt@ 123456westernsydney.edu.au
                Article
                bjsports-2016-096890
                10.1136/bjsports-2016-096890
                5654748
                28049624
                467800f1-6549-4623-ae5f-488bdbcdfa3e
                Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://www.bmj.com/company/products-services/rights-and-licensing/

                This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

                History
                : 8 December 2016
                Funding
                Funded by: National Health and Medical Research Council, http://dx.doi.org/10.13039/501100000925;
                Award ID: 589903
                Categories
                1506
                Original Article
                Custom metadata
                unlocked

                Sports medicine
                physical activity,randomised controlled trial,accelerometer
                Sports medicine
                physical activity, randomised controlled trial, accelerometer

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