The physical activity at work (PAW) study: a cluster randomised trial of a multicomponent short-break intervention to reduce sitting time and increase physical activity among office workers in Thailand

Akksilp, Katika; Koh, Jemima; Tan, Vanessa; Tong, Eunice Huiying; Budtarad, Nuttakarn; Xueying, Guo; Dieterich, Anna Valeria; Tai, Bee Choo; Müller, André; Isaranuwatchai, Wanrudee; Rouyard, Thomas; Nakamura, Ryota; Müller‐Riemenschneider, Falk; Teerawattananon, Yot; Chen, Cynthia

doi:10.1016/j.lansea.2022.100086

Cited by 11 publications

(11 citation statements)

References 49 publications

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“…Implementing point-of-choice prompting software along with educational initiatives may also prove effective [ 55 ]. Social-level components such as team movement breaks with incentives, like lottery rewards in Thailand can further encourage behavioral change [ 56 ].…”

Section: Discussionmentioning

confidence: 99%

Patterns and correlates of physical activity and sedentary behavior among Bangkok residents: A cross-sectional study

Topothai,

Tangcharoensathien,

Edney

et al. 2023

PLoS ONE

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Background Physical inactivity and sedentary behavior are significant risk factors for various non-communicable diseases. Bangkok, Thailand’s capital, is one of the fastest-growing metropolitans in Southeast Asia. Few studies have investigated the epidemiology of physical activity and sedentary behavior among Bangkok residents. This study aims to investigate the prevalence of combined physical activity and sedentary behavior patterns among Bangkok residents and examine relationships between participants’ characteristics and the combined movement patterns. Methods We analyzed data from the nationally representative 2021 Health Behavior Survey conducted by the Thailand National Statistical Office. The Global Physical Activity Questionnaire was used to assess physical activity and sedentary behavior. ‘Sufficiently active’ was defined as meeting the World Health Organization’s guidelines for aerobic physical activity (≥150 minutes of moderate-to-vigorous physical activity per week). ‘Low sedentary time’ was defined as sitting for ≤7 hours per day. Participants were categorized into one of four movement patterns: highly active/low sedentary, highly active/highly sedentary, low active/low sedentary, and low active/highly sedentary. Multinomial logistic regression was used to identify the factors associated with each group of four movement patterns. Results Among the 3,137 individuals included in the study, the majority were categorized as highly active/highly sedentary (64.8%), followed by highly active/low sedentary (17.9%) and low active/highly sedentary (14.3%). Only a few (3.0%) of participants were categorized as being low active/low sedentary. Compared to males, female participants had a significantly higher likelihood of belonging to the highly active/low sedentary (AOR = 1.69, 95%CI: 1.25, 2.28) or highly active/highly sedentary (AOR = 1.51, 95%CI: 1.19, 1.93) group, rather than the low active/high sedentary group. Compared to unemployed/retired participants, those in labor-intensive occupations had a significantly higher likelihood of being in the highly active/low sedentary group (AOR = 1.89, 95%CI: 1.22, 2.94). Compared to participants with no chronic physical conditions, participants who reported multimorbidity had a significantly lower likelihood of being in the highly active/low sedentary group (AOR = 0.60, 95%CI: 0.37, 0.98). Conclusion This study provides valuable insights into the patterns of physical activity and sedentary behavior among residents of Bangkok using up-to-date data. The majority belonged to the highly active/highly sedentary group, followed by the highly active/low sedentary group. Correlates such as sex, occupation, and chronic conditions were associated with these patterns. Targeted interventions in recreational activities, workplaces, and urban areas, including screen time control measures, movement breaks and improved built environments, are crucial in reducing sedentary behavior and promoting physical activity.

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Section: Discussionmentioning

confidence: 99%

Patterns and correlates of physical activity and sedentary behavior among Bangkok residents: A cross-sectional study

Topothai,

Tangcharoensathien,

Edney

et al. 2023

PLoS ONE

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“…However, the trial produced inconclusive findings, leaving critical questions unanswered regarding its underlying causes. We observed suboptimal uptake of movement breaks, the primary intervention component, and inferred that this, coupled with a low recruitment rate, may explain the absence of statistically significant outcomes [19]. Understanding these underlying reasons is essential for making necessary improvements in both research and policy.…”

Section: Introductionmentioning

confidence: 93%

“…The PAW study received approval from the Ethical Review Committee for Research in Human Subjects, Ministry of Public Health (ECMOPH) (protocol number: 004-2563), in accordance with the Declaration of Helsinki, and was conducted at the Ministry of Public Health, Thailand. Detailed methodological information regarding the cluster-randomised trial was published in the protocol [20] and main results [19] manuscripts. Briefly, between July and September 2021, we recruited 282 office workers (with a mean age of 38.6 years, SD 10.4 years, and 80.9% female) from 18 offices.…”

Section: Description Of the Cluster-randomised Trialmentioning

confidence: 99%

“…Moreover, 77.8% of the intervention participants attended less than half of the breaks throughout the intervention period. We hypothesised that the absence of a significant intervention effect could be attributed to low attendance in movement break sessions [19]. Hence, our current focus is to investigate the underlying reasons behind this issue.…”

Section: Figure 1 Mechanism Of Associations Between Intervention Comp...mentioning

confidence: 99%

“…The Physical Activity at Work (PAW) trial [18] marked the first comprehensive cluster-randomised trial aimed at promoting physical activity and reducing sedentary behaviour among Thai office workers. This trial incorporated a multi-component intervention and utilised accelerometer-measured data, laying a solid foundation for physical activity research in Thailand [19]. However, the trial produced inconclusive findings, leaving critical questions unanswered regarding its underlying causes.…”

Section: Introductionmentioning

confidence: 99%

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Process Evaluation of the Physical Activity at Work (PAW) Cluster-Randomised Trial in Thailand (Preprint)

Akksilp,

Rouyard,

Isaranuwatchai

et al. 2024

Preprint

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BACKGROUND An increasing number of multi-component workplace interventions are being developed to reduce sedentary time and promote physical activity among office workers. The Physical Activity at Work trial was one of these interventions, but it yielded an inconclusive effect on sedentary time after six months with a low uptake on the movement breaks, the main intervention component. The present study investigates the factors contributing to the trial's outcome. OBJECTIVE The study evaluates the recruitment and context, implementation, and impact mechanisms of the Physical Activity at Work study. METHODS Following the Medical Research Council guideline for process evaluation of complex interventions, this mixed-methods study aims to evaluate the PAW study’s recruitment and context (how job nature and recruitment of each cluster affected the movement break participation), implementation (dose and fidelity), and mechanisms of impact (how intervention components affected movement break participations, and the facilitators and barriers of the movement breaks). Data from accelerometers, pedometers, questionnaires, on-site monitoring, and focus group discussions were used for the evaluation. Linear mixed models were employed to analyse the effects of different intervention components on the movement breaks. Subsequently, qualitative analysis of the focus group discussion provided additional insights into the relationship between intervention components. RESULTS The trial implementation was satisfactory regarding dose delivery and fidelity. However, the limited uptake of the movement breaks could be attributed to 1) context-related challenges, including jobs requiring high cognitive engagement or frequent out-of-office work and meetings; 2) the absence of goal-setting aspects in the detailed design of individual and social components; 3) the lack of effective and sustainable supporting components at the environmental and organisational levels; and 4) elevated workloads in specific clusters, exacerbated during peak periods of the COVID-19 pandemic, serving as a significant barrier. On the other hand, automatic motivation, such as feeling active and relaxed, was ranked as the top facilitator to join movement breaks, followed by reflective motivation of perceived health benefits. CONCLUSIONS All intervention components significantly contribute to the trial outcome. Our process evaluation encompasses multiple aspects to explain the trial's findings. However, to validate all trial assumptions in future studies, the intervention's logic model must be thoroughly reconstructed and finalised. CLINICALTRIAL The PAW study was registered at the Thai Clinical Trials Registry (ID TCTR20200604007) on 02 June 2020.

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Clinical trials

Tai,

Machin

2024

Reference Module in Biomedical Sciences

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The physical activity at work (PAW) study: a cluster randomised trial of a multicomponent short-break intervention to reduce sitting time and increase physical activity among office workers in Thailand

Cited by 11 publications

References 49 publications

Patterns and correlates of physical activity and sedentary behavior among Bangkok residents: A cross-sectional study

Patterns and correlates of physical activity and sedentary behavior among Bangkok residents: A cross-sectional study

Process Evaluation of the Physical Activity at Work (PAW) Cluster-Randomised Trial in Thailand (Preprint)

Clinical trials

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