Healy Genevieve N, Winkler Elisabeth A H, Mulcahy Samantha K, Brakenridge Charlotte L, Goode Ana D
School of Human Movement and Nutrition Sciences, Health and Wellbeing Centre for Research Innovation, The University of Queensland, Brisbane, QLD, 4072, Australia.
Centre for Work, Organisation and Wellbeing, Griffith University, 4111, Nathan, QLD, Australia.
Int J Behav Nutr Phys Act. 2025 May 28;22(1):63. doi: 10.1186/s12966-025-01761-4.
Addressing prolonged workplace sitting is an identified priority. A national implementation trial of BeUpstanding™ - an online workplace intervention supporting teams of desk-based workers to sit less and move more - successfully reduced worker sitting time in a large sample of workers. However, it is unclear which strategies workers used to sit less and move more, how usage changed following intervention, and how this related to changes in work activity and sitting.
BeUpstanding collected data from staff before and after the 8-week champion-delivered intervention regarding self-reported work behaviours (percentage of worktime sitting and moving; percentage sitting in prolonged bouts) and the usage (0 = never to 4 = always/nearly always) of 21 sit less/move more strategies (13 emphasised 'move more'). Strategy usage during versus before intervention were compared via linear mixed models. Strategy usage (0-4) and changes (-4-4) were tested in relation to post-intervention behaviours and behaviour changes using linear mixed models. Interaction tests and conditional inference trees compared strategies in their effectiveness.
Across 1614 staff (43.1 ± 11.3 years; 66% female) from 66 workplaces, the number of strategies used at least sometimes averaged 9.56 (SE = 0.19) pre-intervention. Strategy usage increased significantly (p < 0.05) in the number of strategies used (2.45 [95% CI: 2.18, 2.73], p < 0.001), mean strategy usage (0.37 [0.33, 0.41], p < 0.001), move-more strategy usage, and for every strategy except active travel. Every strategy was used by > 10% of staff following intervention. Strategy usage and changes were significantly associated with all behaviours and behaviour changes (all p < 0.01). There were significant differences in the strength of these associations between strategies (p < 0.05) and for move-more strategies versus other strategies (p < 0.05); however, no strategies were statistically counterproductive. Conditional inference trees identified various combinations of strategies whose usage predicted outcomes.
All strategies showed acceptability (used by > 10%), most were modifiable (increased with intervention), and, to varying degrees, their usage was associated with work behaviours. Findings suggest all 21 strategies are suitable for Australian desk-based workers to select based on personal and contextual fit. Strategies most strongly linked with all behaviours or targeted behaviours (i.e., increasing movement) might be emphasised to enhance effectiveness.
ACTRN12617000682347. The trial was prospectively registered on the 12th May, 2017 (ACTRN12617000682347) before the soft launch online and last updated on the 11th June 2019, before the national implementation trial recruitment commenced (12th June, 2019).
解决工作场所久坐问题是一项已确定的优先事项。一项针对BeUpstanding™的全国性实施试验——一种支持伏案工作团队减少久坐并增加活动量的在线工作场所干预措施——在大量工人样本中成功减少了工人的久坐时间。然而，尚不清楚工人们采用了哪些策略来减少久坐并增加活动量，干预后这些策略的使用情况如何变化，以及这与工作活动和久坐的变化有何关联。
BeUpstanding收集了8周由倡导者实施的干预措施前后工作人员关于自我报告的工作行为（工作时间中久坐和活动的百分比；长时间久坐的百分比）以及21种减少久坐/增加活动量策略（13种强调“增加活动量”）的使用情况（0 = 从不至4 = 总是/几乎总是）的数据。通过线性混合模型比较干预期间与干预前的策略使用情况。使用线性混合模型测试策略使用情况（0 - 4）和变化（-4 - 4）与干预后行为及行为变化的关系。交互测试和条件推断树比较了各策略的有效性。
来自66个工作场所的1614名工作人员（43.1 ± 11.3岁；66%为女性），干预前至少有时使用的策略数量平均为9.56（标准误 = 0.19）。使用的策略数量（2.45 [95%置信区间：2.18, 2.73]，p < 0.001）、平均策略使用情况（0.37 [0.33, 0.41]，p < 0.001）、增加活动量策略的使用情况以及除主动出行外的每种策略，其使用情况均显著增加（p < 0.05）。干预后超过10%的工作人员使用了每种策略。策略使用情况和变化与所有行为及行为变化均显著相关（所有p < 0.01）。各策略之间以及增加活动量策略与其他策略之间这些关联的强度存在显著差异（p < 0.05）；然而，没有策略在统计学上产生适得其反的效果。条件推断树确定了其使用情况可预测结果的各种策略组合。
所有策略均显示出可接受性（超过10%的人使用），大多数策略是可改变的（随着干预而增加），并且在不同程度上，其使用与工作行为相关。研究结果表明，所有21种策略都适合澳大利亚伏案工作的人员根据个人情况和实际环境进行选择。可能需要强调与所有行为或目标行为（即增加活动量）联系最紧密的策略，以提高有效性。
ACTRN12617000682347。该试验于2017年5月12日（ACTRN12617000682347）在在线软启动前进行前瞻性注册，最后一次更新于2019年6月11日，在全国性实施试验招募开始（2019年6月12日）之前。
