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Using an e-Health Intervention to Reduce Prolonged Sitting in UK Office Workers: A Randomised Acceptability and
Sophie E Carter1,2, Richard Draijer3, Joseph D Maxwell1
1Research Institute for Sport and Exercise Sciences, Liverpool John Moores University, Liverpool L3 3AF, UK.
An e-health intervention to reduce prolonged sitting in office workers showed feasibility and potential health benefits, but requires personalization for better user acceptance and long-term implementation.
Area of Science:
- Occupational Health
- Digital Health Interventions
- Workplace Wellness
Background:
- Prolonged sitting in office workers poses health risks.
- Low-cost workplace interventions are needed to mitigate these risks.
- E-health solutions offer a scalable approach to behavior change.
Purpose of the Study:
- To assess the acceptability and feasibility of an e-health intervention for reducing prolonged sitting in UK office workers.
- To explore preliminary changes in employee health, mood, and productivity.
- To evaluate the intervention's impact on activity patterns and physiological markers.
Main Methods:
- An 8-week randomized crossover trial involving 14 university office workers.
- Intervention group received computer-based prompts to reduce sitting.
- Objective measures of sitting, standing, stepping, vascular function, and cerebrovascular function were collected.
- Qualitative interviews explored user acceptability.
Main Results:
- Feasibility demonstrated by eligibility (54.5%) and retention (77.8%) rates.
- Participants reported issues with autonomy and workflow disruption, impacting acceptability.
- Preliminary data suggest improved activity patterning (more standing/stepping bouts) and enhanced vascular function.
- The intervention is feasible for delivery in university office settings.
Conclusions:
- The e-health intervention is feasible for office workers but requires adaptations for improved acceptability.
- Personalized settings and workflow integration are crucial for long-term success.
- Further research with refined interventions is needed before large-scale implementation.
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