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Reducing occupational sedentary time: A systematic review and meta-analysis of evidence on activity-permissive workstations
journal contribution
posted on 2022-10-27, 04:57 authored by M Neuhaus, E G Eakin, L Straker, N Owen, David DunstanDavid Dunstan, N Reid, G N HealyExcessive sedentary time is detrimentally linked to obesity, type 2 diabetes, cardiovascular disease and premature mortality. Studies have been investigating the use of activity-permissive workstations to reduce sedentary time in office workers, a highly sedentary target group. This review systematically summarizes the evidence for activity-permissive workstations on sedentary time, health-risk biomarkers, work performance and feasibility indicators in office workplaces. In July 2013, a literature search identified 38 relevant peer-reviewed publications. Key findings were independently extracted by two researchers. The average intervention effect on sedentary time was calculated via meta-analysis. In total, 984 participants across 19 field-based trials and 19 laboratory investigations were included, with sample sizes ranging from n=2 to 66 per study. Sedentary time, health-risk biomarkers and work performance indicators were reported in 13, 23 and 23 studies, respectively. The pooled effect size from the meta-analysis was -77min of sedentary time/8-h workday (95% confidence interval=-120, -35min). Non-significant changes were reported for most health- and work-related outcomes. Studies with acceptability measures reported predominantly positive feedback. Findings suggest that activity-permissive workstations can be effective to reduce occupational sedentary time, without compromising work performance. Larger and longer-term randomized-controlled trials are needed to understand the sustainability of the sedentary time reductions and their longer-term impacts on health- and work-related outcomes.
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Journal
Obesity ReviewsVolume
15Pagination
822 - 838Publisher DOI
ISSN
1467-7881eISSN
1467-789XPublication classification
C1 Refereed article in a scholarly journalUsage metrics
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