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Friday 17 October Papers / Journal of Science and Medicine in Sport 18S (2014) e108–e135
Activity Participation, Physical Education and Physical Activity Participation in Schools, Active Play, Active Transportation, Sedentary Behaviours) and Traits (Aerobic Fitness, Movement Skills). Results: Overall Physical Activity Levels was assigned a grade of N/A*. Other physical activity behaviours were also graded as below average (N/A*), while Organised Sport and Physical Activity Participation was assigned a grade of N/A*. Australia performed better for settings and sources of influence and Government Strategies and Investments (N/A*). Discussion: The physical activity levels of Australian children and young people are very low, despite relatively supportive social, environmental and regulatory environments. There are clear gaps in the research that need to be filled, such as the need for objective nationally representative data across all indicators, and consistent data collection methods need to be established. Australia as a nation is very passionate about sport and this is reflected in the relatively ‘high’ grade assigned to Organised Sport and Physical Activity Participation (N/A*). While participation in organised sport and physical activity provides numerous benefits beyond increasing physical activity levels, sport is not the only avenue for physical activity. This is the rationale for the question posed with the results for Overall Physical Activity Levels: “Is Sport Enough?” * Available May 21 2014 after the Report Card is released, due to confidentiality agreement in place. http://dx.doi.org/10.1016/j.jsams.2014.11.095 38 Does moving to a new health promoting building change behaviour and workplace perceptions? A pilot study L. Engelen 1,∗ , J. Chau 1 , H. Dhillon 2 , D. Hespe 1 , A. Bauman 1 1 School of Public Health, University of Sydney, Australia 2 Central Clinical School, University of Sydney, Australia
Introduction: The occupation of new, state of the art office buildings designed for promoting connectivity and healthy behaviour provide a good opportunity to evaluate how the indoor environment can change sedentary behaviour and workplace perceptions. Methods: 32 adult participants moving from five different locations into one new office building at the University of Sydney, Australia were included. Participants consented and were asked to fill out an online questionnaire 2 months prior to the move and 2 months post-move. The questions related to healthy behaviour, including physical activity, sitting time, musculoskeletal issues and sleep, in addition to questions around productivity and engagement. A number of questions pertained to the perception of the office environment (noise, lighting and ventilation) as well as connectivity. 22 participants provided baseline and follow-up data. Results: Preliminary results show that the participants tended to sit less of their work time after the move (declined from 83% to 70%), where the sitting had been replaced by standing while the unrelated behaviour of walking remained unchanged. The participants also reported less musculoskeletal pain (8.7–7.1). A large proportion of participants in the new workplace were located in an open plan office (60%), more than the 16% before the move. The results suggest that the new work environment is perceived as more stimulating, with better light and ventilation, but noisier and providing less space. No difference was reported in productivity or daily PA.
Discussion: The results shows some reported physical health promoting effects of moving to a new customised building, but that the results around workplace perceptions are variable, possibly due to the open plan office design, resulting in an unchanged perception of concentration and work quality. A much larger study is underway to tease out these effects in more detail. http://dx.doi.org/10.1016/j.jsams.2014.11.096 39 Shifting gears: Process evaluation of an activity tracker and smart phone application to promote healthy lifestyle choices in Australian truck drivers N. Gilson 1,∗ , T. Pavey 1 , S. Gomersall 1 , C. Vandelanotte 2 , M. Duncan 2 , O. Wright 1 , S. Trost 3 , W. Brown 1 1
The University of Queensland, Australia Central Queensland University, Australia 3 Queensland University of Technology, Australia 2
Background: Shifting gears is a joint Australian, State and Territory funded lifestyle initiative that targets active living and healthy diet choices in truck drivers. This study examined the extent to which drivers who completed the baseline phase of the initiative, followed through to intervention, and used a commercial activity tracker and smart phone application to monitor movement and diet choices. Methods: Thirty four local delivery and ten long haul drivers (all men; 47.5 ± 9.8 years; BMI 33.8 ± 6.3 kg/m2 ; waist circumference 113.7 ± 13.3 cm) were offered a free Jawbone wristband and access to an interactive smart phone application (UP) which synchronises with the wristband to upload daily step counts, allows users to manually input or barcode diet choices, and to virtually connect with other users. Interested drivers met with a researcher at their depot, where they received a Jawbone and resource booklet, and were briefed on UP user protocols. Drivers then received an invitation to virtually connect with researchers via UP; through this connection, and as part of a wider strategy to encourage driver self-regulation of healthy choices, researchers logged and analysed wristband use, step counts and dietary choices over the first week of the intervention (March 2014). Results: Of the 44 drivers who completed baseline measures, 31 agreed to meet with researchers. Of these drivers, seven returned their wristbands unused; technological barriers were cited as the main reason for non-adoption. The remaining 24 drivers (or 55% of those who completed baseline) accepted researcher invitations through UP and began to monitor movement and diet choices. Frequency of wristband use ranged from 4–7 days, with most drivers (94%) wearing the Jawbone each day of the week; mean step counts for the sample across this period was 7475 ± 2349 steps/day (range of 3186–11,197 steps/day). Five drivers did not input or barcode any diet choices; a weekly total of 501 food and drink entries were logged by those who used the UP diet function (average of 21 entries/driver; range of 9–76 entries); 37% of these entries were classified as healthy diet options low in fat and/or sugar. Discussion: In this sample, smart phone technology prohibited a number of drivers from progressing to intervention. Those who did adopt this technology frequently used the Jawbone UP to monitor movement and dietary choices across the first week of the Shifting Gears initiative. http://dx.doi.org/10.1016/j.jsams.2014.11.097