Akksilp Katika, Rouyard Thomas, Isaranuwatchai Wanrudee, Nakamura Ryota, Müller-Riemenschneider Falk, Teerawattananon Yot, Chen Cynthia
Health Intervention and Technology Assessment Programme, Ministry of Public Health, Nonthaburi, Thailand.
Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
JMIR Form Res. 2025 Jan 2;9:e57604. doi: 10.2196/57604.
An increasing number of multicomponent workplace interventions are being developed to reduce sedentary time and promote physical activity among office workers. The Physical Activity at Work (PAW) trial was one of these interventions, but it yielded an inconclusive effect on sedentary time after 6 months, with a low uptake of movement breaks, the main intervention component.
This study investigates the factors contributing to the outcomes of the PAW cluster randomized trial.
Following the Medical Research Council's guidance for process evaluation of complex interventions, we used a mixed methods study design to evaluate the PAW study's recruitment and context (how job nature and cluster recruitment affected movement break participation), implementation (dose and fidelity), and mechanisms of impact (assessing how intervention components affected movement break participation and identifying the facilitators and barriers to participation in the movement breaks). Data from accelerometers, pedometers, questionnaires, on-site monitoring, and focus group discussions were used for the evaluation. Linear mixed effects models were used to analyze the effects of different intervention components on the movement breaks. Subsequently, qualitative analysis of the focus group discussions provided additional insights into the relationship between the intervention components.
The participation in movement breaks declined after the third week, averaging 12.7 sessions (SD 4.94) per participant per week for the first 3 weeks, and continuing to decrease throughout the intervention. On-site monitoring confirmed high implementation fidelity. Analysis of Fitbit data revealed that each additional movement break was associated with a reduction of 6.20 (95% CI 6.99-5.41) minutes in sedentary time and an increase of 245 (95% CI 222-267) steps. Regarding the mechanisms of impact, clusters with higher baseline sedentary time demonstrated greater participation in movement breaks, while those with frequent out-of-office duties showed minimal engagement. Moreover, clusters with enthusiastic and encouraging movement break leaders were associated with a 24.1% (95% CI 8.88%-39.4%) increase in participation. Environmental and organizational support components using posters and leaders' messages were ineffective, showing no significant change in percentage participation in movement breaks (4.49%, 95% CI -0.49% to 9.47% and 1.82%, 95% CI -2.25% to 5.9%, respectively). Barriers such as high workloads and meetings further hindered participation, while the facilitators included participants' motivation to feel active and the perceived health benefits from movement breaks.
Despite high fidelity, the PAW trial did not significantly reduce sedentary time, with limited uptake of movement breaks due to context-related challenges, ineffective environmental support, and high workloads during the COVID-19 pandemic.
为减少上班族的久坐时间并促进身体活动,越来越多的多成分工作场所干预措施正在被开发。“工作中的身体活动”(PAW)试验就是其中一项干预措施,但在6个月后,该试验对久坐时间的影响尚无定论,且作为主要干预成分的运动休息环节的参与度较低。
本研究调查了导致PAW整群随机试验结果的因素。
遵循医学研究理事会关于复杂干预措施过程评估的指南,我们采用混合方法研究设计来评估PAW研究的招募情况和背景(工作性质和整群招募如何影响运动休息环节的参与)、实施情况(剂量和保真度)以及影响机制(评估干预成分如何影响运动休息环节的参与,并确定参与运动休息环节的促进因素和障碍)。来自加速度计、计步器、问卷、现场监测和焦点小组讨论的数据用于评估。线性混合效应模型用于分析不同干预成分对运动休息环节的影响。随后,对焦点小组讨论进行定性分析,为干预成分之间的关系提供了更多见解。
在第三周后,运动休息环节参与者的数量有所下降,前3周每位参与者每周平均参与12.7次(标准差4.94),并且在整个干预过程中持续减少。现场监测证实了较高的实施保真度。对Fitbit数据的分析表明,每增加一次运动休息,久坐时间减少6.20(95%置信区间6.99 - 5.41)分钟,步数增加245(95%置信区间222 - 267)步。关于影响机制,基线久坐时间较长的整群在运动休息环节的参与度更高,而那些经常外出办公的整群参与度最低。此外,有热情且积极鼓励的运动休息环节领导者的整群,其参与度提高了24.1%(95%置信区间8.88% - 39.4%)。使用海报和领导者信息的环境和组织支持成分效果不佳,运动休息环节的参与百分比没有显著变化(分别为4.49%,95%置信区间 - 0.49%至9.47%和1.82%,95%置信区间 - 2.25%至5.9%)。高工作量和会议等障碍进一步阻碍了参与,而促进因素包括参与者想要保持活跃的动机以及运动休息带来的健康益处。
尽管保真度较高,但PAW试验并未显著减少久坐时间,由于与背景相关的挑战、无效的环境支持以及在新冠疫情期间的高工作量,运动休息环节的参与度有限。