Bort-Roig Judit, Chirveches-Pérez Emilia, Giné-Garriga Maria, Navarro-Blasco Lydia, Bausà-Peris Roser, Iturrioz-Rosell Pedro, González-Suárez Angel M, Martínez-Lemos Iván, Puigoriol-Juvanteny Emma, Dowd Kieran, Puig-Ribera Anna
Sport and Physical Activity Research Group, Centre for Health and Social Care Research, University of Vic-Central University of Catalonia, 08500 Barcelona, Spain.
Research Group on Methodology, Methods, Models and Outcomes of Health and Social Sciences (M3O), Centre for Health and Social Care Research, University of Vic-Central University of Catalonia, 08500 Barcelona, Spain.
Int J Environ Res Public Health. 2020 Nov 28;17(23):8844. doi: 10.3390/ijerph17238844.
Most workplace interventions that aim to reduce sedentary behaviour have 38 focused on employees' sedentary patterns at-work but less have focused on understanding the 39 impact beyond working time. The aim of this study was to evaluate the impact of a 13-week m-40 health workplace-based 'sit less, move more' intervention (Walk@WorkApp; W@W-App) on 41 physical activity (PA) and sitting in desk-based employees at-work and away from work.
Participants ( = 141) were assigned by hospital to an intervention group (IG; used the W@W-App; = 90) or an active comparison group (A-CG; monitored occupational activity; = 51). The W@W-App, installed on the participants´ own smartphones, provided real-time feedback for occupational sitting, standing, and stepping, and gave access to automated strategies to sit less and move more at work. Changes between groups were assessed for total sitting time, sedentary bouts and breaks, and light and moderate-to-vigorous PA (activPAL3TM; min/day) between the baseline and after program completion.
Compared to the A-CG, employees that used the W@W-App program increased their number of daily breaks and the time spent on short sedentary bouts (<20 min, = 0.047) during weekends. Changes in shortest sedentary bouts (5-10 min) during weekends were also statistically significant ( < 0.05). No changes in workday PA or sitting were observed.
Desk-based employees seemed to transfer the W@W-App program knowledge outside of work. Evaluating the impact of workplace (mHealth-based or not) interventions at work but also away from work would provide a better understating of the impact of such interventions.
大多数旨在减少久坐行为的工作场所干预措施都集中在员工工作时的久坐模式上，而较少关注工作时间之外的影响。本研究的目的是评估一项为期13周的基于移动健康的工作场所“少坐多动”干预措施（步行上班应用程序；W@W应用程序）对伏案工作员工在工作时和工作之外的身体活动（PA）及久坐行为的影响。
参与者（n = 141）由医院分配至干预组（IG；使用W@W应用程序；n = 90）或积极对照组（A - CG；监测职业活动；n = 51）。安装在参与者自己智能手机上的W@W应用程序提供职业久坐、站立和行走的实时反馈，并提供自动策略，以减少工作时的久坐并增加活动量。在基线和项目完成后，评估两组之间在总久坐时间、久坐时段和休息时间以及轻度和中度至剧烈身体活动（activPAL3TM；分钟/天）方面的变化。
与A - CG相比，使用W@W应用程序的员工在周末增加了每日休息次数以及在短时间久坐时段（<20分钟，P = 0.047）所花费的时间。周末最短久坐时段（5 - 10分钟）的变化也具有统计学意义（P < 0.05）。未观察到工作日身体活动或久坐行为的变化。
伏案工作的员工似乎将W@W应用程序的知识应用到了工作之外。评估工作场所（无论是否基于移动健康）干预措施在工作时和工作之外的影响，将能更好地理解此类干预措施的效果。
