The Dynamic Work study: study protocol of a cluster randomized controlled trial of an occupational health intervention aimed at reducing sitting time in office workers

Stand-Capable Workstations Reduce Occupational Sedentary Time Among Administrative Workers

OCCUPATIONAL APPLICATIONSIn this study, we found that workers who use stand-biased desks stood more and sat less during their workday compared to workers who use traditional desks. Stand-biased users also experienced significantly less lower back discomfort compared to both traditional and sit-stand workstation users. Based on these findings, we recommend that the use of stand-biased workstations be considered when designing or renovating work office workspaces. The health risks of sedentary behavior are inherent in most office work, but these risks can be alleviated with intentional equipment choices. Using stand-biased desks can encourage workers to move more throughout the workday without their productivity or comfort being disturbed.

Mixed-methods process evaluation of the Dynamic Work study: A multicomponent intervention for office workers to reduce sitting time

Previously, we observed no significant reductions in sitting time of the multicomponent Dynamic Work (DW) intervention among office workers. In this study we used mixed-method data to understand context, implementation (i.e. recruitment and delivery) and mechanism of impact (i.e. experiences) of the DW intervention and to explore whether an higher implementation index score led to larger changes in participants' outcomes. We found considerable variation across departments regarding context (i.e. different size and work tasks) and implementation (i.e. delivery varied). Satisfaction with the DW intervention was high. An higher implementation index score was associated with lower overall sitting time, lower occupational sitting time, higher number of steps/day and steps/day at work at 4-months, which was maintained at 8-month for occupational sitting time. These findings provide an understanding that implementation was affected by a lack of availability of intervention components, department policy, work tasks, positioning and work location. TRIAL REGISTRATION: Clinicaltrials.gov, registration number:NCT03115645. Registered February 17, 2017 - Retrospectively registered, https://clinicaltrials.gov/ct2/show/NCT03115645.

Barriers and facilitators influencing the implementation of the occupational health intervention 'Dynamic Work': a qualitative study

Background

Sedentary behavior is associated with an increased risk of morbidity and mortality. To reduce occupational sitting time of office workers, the multi-component intervention ‘Dynamic Work’ was implemented in a Dutch insurance company. Although the results showed no significant reductions in sitting time, associations were found between higher levels of implementation and reductions in sitting time. Building upon these findings, this qualitative study aimed to identify barriers and facilitators from an organizational perspective for the implementation of Dynamic Work. In addition, we explored differences in barriers and facilitators between departments with a low, middle and high level of implementation.

Methods

In total, eighteen semi-structured interviews were conducted with two Dynamic Work coordinators, three occupational physiotherapists who delivered the intervention, and thirteen department managers. All participants were purposively sampled. The data was coded in Atlas.ti and a thematic analysis was performed guided by The Integrated Checklist of Determinants (TICD).

Results

Implementation factors were related to the organization; working culture and financial support facilitated implementation. Factors related to the implementing department mainly hindered implementation, i.e. lack of information at start of the project, late delivery of Dynamic Work equipment, large group sizes, employee’s workload and work tasks, and an ongoing reorganization. The facilitating role of managers was experienced as both enabling and hindering. The pre-existing familiarity of the occupational physiotherapists with the departments and alignment amongst the three implementers facilitated implementation. Yet, the non-obligatory nature of the intervention as well as limited availability and technical problems of equipment did not support implementation.

Conclusions

Various barriers and facilitators influenced the implementation of the Dynamic Work intervention, where the key role of the department manager, late delivery of dynamic work equipment and groups sizes varied between low and high implementing departments. These results can contribute to developing and improving implementation strategies in order to increase the effectiveness of future occupational health interventions.

Trial registration

The study protocol was registered on April 14, 2017 in the ClinicalTrials.gov Protocol Registration and Results System under registration number NCT03115645.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13230-9.

Studying wearable health technology in the workplace using the Behavior Change Wheel: a systematic literature review and content analysis

Wearable Health Technology (WHT) is considered to be fast, feasible, and effective in workplace health promotion programs. This study aims to analyze behavior change strategies applied to WHT products used by employees in health promotion programs. A systematic literature review of WHT in workplace health promotion between 2006 and 2020 was conducted. The Behavior Change Wheel (BCW) was used to undertake the content analysis. We identified 14 articles of WHT in the workplace. First, physical activity and weight management were the most common health issue. Second, using the BCW, we found guidelines, regulation and communication were the most frequently applied policy categories. Third, education, enablement and training were the most common intervention functions. For example, the promoter could provide health education information by WHT. Moreover, encouraging online would motivate employees to improve health behavior. There has been a growing interest in WHT with increasing complexity in research designs and specifications. While using WHT can be an appropriate strategy to adopt as employee health projects, other interventions should be considered, for incentivization and modeling, etc. The results of this study suggest using WHT should take related health behavior theories or variables into consideration to form a comprehensive health promotion programs.

Estimates of future cancer mortality attributable to modifiable risk factors in Canada

OBJECTIVES

Modifiable lifestyle, environmental, and infectious risk factors associated with cancer impact both cancer incidence and mortality at the population level. Most studies estimating this burden focus on cancer incidence. However, because these risk factors are associated with cancers of disparate mortality rates, the burden associated with cancer incidence could differ from cancer mortality. Therefore, estimating the cancer mortality attributable to these risk factors provides additional insight into cancer prevention. Here, we estimated future cancer deaths and the number of avoidable deaths in Canada due to modifiable risk factors.

METHODS

The projected cancer mortality data came from OncoSim, a web-based microsimulation tool. These data were applied to the methodological framework that we previously used to estimate the population attributable risks and the potential impact fractions of modifiable risk factors on Canadian cancer incidence.

RESULTS

We estimated that most cancer deaths will be attributed to tobacco smoking with an average of 27,900 deaths annually from 2024 to 2047. If Canada's current trends in excess body weight continue, cancer deaths attributable to excess body weight would double from 2786 deaths in 2024 to 5604 deaths in 2047, becoming the second leading modifiable cause of cancer death. Applying targets to reduce these risk factors, up to 34,600 cancer deaths could be prevented from 2024 to 2047.

CONCLUSION

Our simulated results complement our previous findings on the cancer incidence burden since decreasing the overall burden of cancer will be accelerated through a combination of decreasing cancer incidence and improving survival outcomes through improved treatments.

Exploring Breaks in Sedentary Behavior of Older Adults Immediately After Receiving Personalized Haptic Feedback: Intervention Study

BACKGROUND

"Push" components of mobile health interventions may be promising to create conscious awareness of habitual sedentary behavior; however, the effect of these components on the near-time, proximal outcome, being breaks in sedentary behavior immediately after receiving a push notification, is still unknown, especially in older adults.

OBJECTIVE

The aims of this study are to examine if older adults break their sedentary behavior immediately after receiving personalized haptic feedback on prolonged sedentary behavior and if the percentage of breaks differs depending on the time of the day when the feedback is provided.

METHODS

A total of 26 Flemish older adults (mean age 64.4 years, SD 3.8) wore a triaxial accelerometer (Activator, PAL Technologies Ltd) for 3 weeks. The accelerometer generated personalized haptic feedback by means of vibrations each time a participant sat for 30 uninterrupted minutes. Accelerometer data on sedentary behavior were used to estimate the proximal outcome, which was sedentary behavior breaks immediately (within 1, 3, and 5 minutes) after receiving personalized haptic feedback. Generalized estimating equations were used to investigate whether or not participants broke up their sedentary behavior immediately after receiving haptic feedback. A time-related variable was added to the model to investigate if the sedentary behavior breaks differed depending on the time of day.

RESULTS

A total of 2628 vibrations were provided to the participants during the 3-week intervention period. Of these 2628 vibrations, 379 (14.4%), 570 (21.7%), and 798 (30.4%) resulted in a sedentary behavior break within 1, 3 and 5 minutes, respectively. Although the 1-minute interval did not reveal significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided, the 3- and 5-minute intervals did show significant differences in the percentage of breaks depending on the time at which the haptic feedback was provided. Concretely, the percentage of sedentary behavior breaks was significantly higher if personalized haptic feedback was provided between noon and 3 PM compared to if the feedback was provided between 6 and 9 AM (odds ratio 1.58, 95% CI 1.01-2.47, within 3 minutes; odds ratio 1.78, 95% CI 1.11-2.84, within 5 minutes).

CONCLUSIONS

The majority of haptic vibrations, especially those in the morning, did not result in a break in the sedentary behavior of older adults. As such, simply bringing habitual sedentary behavior into conscious awareness seems to be insufficient to target sedentary behavior. More research is needed to optimize push components in interventions aimed at the reduction of the sedentary behavior of older adults.

TRIAL REGISTRATION

ClinicalTrials.gov NCT04003324; https://clinicaltrials.gov/ct2/show/NCT04003324.

Examining the links between regular leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults

AIMS

To examine the relationship between leisure-time physical activity, sitting time and prefrailty in community-dwelling older adults.

DESIGN

Cross-sectional study.

METHODS

Between February and July 2019, 539 individuals over age 60 were recruited in northern Taiwan. Demographic, medical history, physical activity and frailty data were analysed using descriptive statistics, chi-square tests and logistic regression.

RESULTS

The prevalence of prefrailty was 24.4%; 33.2% had regular leisure-time physical activity, and 14.7% reported >6 hrs daily sitting time. Compared with individuals having regular leisure-time physical activity and shorter sitting times (daily average ≤6 hrs), those having no regular leisure-time physical activity and also shorter sitting times (adjusted OR, 1.80; 95% CI, 1.12, 2.92), or those also having regular leisure-time physical activity but longer sitting times (adjusted OR, 4.42; 95% CI, 2.22, 8.79) had an increased prefrailty risk.

CONCLUSIONS

Having no regular leisure-time physical activity or longer sitting times is associated with a higher risk of prefrailty. For sedentary older adults to prevent prefrailty, they can become more active, sit less or better yet, commit to both.

Cost-Effectiveness and Return-on-Investment of the Dynamic Work Intervention Compared With Usual Practice to Reduce Sedentary Behavior

OBJECTIVE

To assess the cost-effectiveness and return-on-investment (ROI) of the Dynamic Work (DW) Intervention, a worksite intervention aimed at reducing sitting time among office workers.

METHODS

In total, 244 workers were randomized to the intervention or control group. Overall sitting time, standing time, step counts, quality-adjusted life years (QALYs), and costs were measured over 12 months. The cost-effectiveness analysis was performed from the societal perspective and the ROI analysis from the employers' perspective.

RESULTS

No significant differences in effects and societal costs were observed between groups. Presenteeism costs were significantly lower in the intervention group. The probability of the intervention being cost-effective was 0.90 at a willingness-to-pay of 20,000&OV0556;/QALY. The probability of financial savings was 0.86.

CONCLUSION

The intervention may be considered cost-effective from the societal perspective depending on the willingness-to-pay. From the employer perspective, the intervention seems cost-beneficial.

Effectiveness of the multi-component dynamic work intervention to reduce sitting time in office workers - Results from a pragmatic cluster randomised controlled trial

OBJECTIVE

Prolonged sitting, which is highly prevalent in office workers, has been associated with several health risks. The aim of this study was to evaluate the Dynamic Work intervention by determining its effect on total sitting time at the 8-month follow-up in comparison to the control.

METHODS

This two-arm pragmatic cluster randomised controlled trial included 244 office workers from 14 different departments of a large, Dutch insurance company. The Dynamic Work intervention was a real-life, worksite intervention that included environmental components (i.e. sit-stand workstations), organisational components (i.e. group sessions), and individual components (e.g. activity/sitting trackers). Outcomes were assessed at baseline, 4-month follow-up, and 8-month follow-up. The primary outcome was total sitting time per day, objectively assessed using the activPAL activity monitor at 8-month follow-up. Secondary outcomes included other total and occupational movement behaviour outcomes, health-related outcomes, and work-related outcomes. Data analyses were performed using linear and logistic mixed models.

RESULTS

Total sitting time did not differ between the intervention and control group at the 8-month follow-up. Secondary outcomes also showed no difference between the intervention and control group at either the 4-month or at 8-month follow-up, with the exception of number of occupational steps, which showed a statistically significant effect at 4-month follow-up (but not at 8-month follow-up) of 913 (95% CI = 381-1445) steps/8-h working day.

CONCLUSIONS

This study evaluated the effectiveness of a real-life worksite intervention to reduce sitting time and showed little to no effect. This may be due to the relatively low intensity of the intervention, i.e. that it only involved the replacement of 25% of sitting workstations with sit-stand workstations. Future research should focus on the evaluation of more intensive real-life worksite interventions that are still feasible for implementation in daily practice. CLINICALTRIALS.

GOV, REGISTRATION NUMBER

NCT03115645.