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Evaluating the effectiveness of organisational-level strategies with or without an activity tracker to reduce office workers’ sitting time: a cluster-randomised trial
Open accessAbstract
BACKGROUND: Office workers engage in high levels of sitting time. Effective, context-specific, and scalable strategies are needed to support widespread sitting reduction. This study aimed to evaluate organisational-support strategies alone or in combination with an activity tracker to reduce sitting in office workers. METHODS: From one organisation, 153 desk-based office workers were cluster-randomised (by team) to organisational support only (e.g., manager support, emails; 'Group ORG', 9 teams, 87 participants), or organisational support plus LUMOback activity tracker ('Group ORG + Tracker', 9 teams, 66 participants). The waist-worn tracker provided real-time feedback and prompts on sitting and posture. ActivPAL3 monitors were used to ascertain primary outcomes (sitting time during work- and overall hours) and other activity outcomes: prolonged sitting time (≥30 min bouts), time between sitting bouts, standing time, stepping time, and number of steps. Health and work outcomes were assessed by questionnaire. Changes within each group (three- and 12 months) and differences between groups were analysed by linear mixed models. Missing data were multiply imputed. RESULTS: At baseline, participants (46 % women, 23-58 years) spent (mean ± SD) 74.3 ± 9.7 % of their workday sitting, 17.5 ± 8.3 % standing and 8.1 ± 2.7 % stepping. Significant (p < 0.05) reductions in sitting time (both work and overall) were observed within both groups, but only at 12 months. For secondary activity outcomes, Group ORG significantly improved in work prolonged sitting, time between sitting bouts and standing time, and overall prolonged sitting time (12 months), and in overall standing time (three- and 12 months); while Group ORG + Tracker, significantly improved in work prolonged sitting, standing, stepping and overall standing time (12 months). Adjusted for confounders, the only significant between-group differences were a greater stepping time and step count for Group ORG + Tracker relative to Group ORG (+20.6 min/16 h day, 95 % CI: 3.1, 38.1, p = 0.021; +846.5steps/16 h day, 95 % CI: 67.8, 1625.2, p = 0.033) at 12 months. Observed changes in health and work outcomes were small and not statistically significant. CONCLUSIONS: Organisational-support strategies with or without an activity tracker resulted in improvements in sitting, prolonged sitting and standing; adding a tracker enhanced stepping changes. Improvements were most evident at 12 months, suggesting the organisational-support strategies may have taken time to embed within the organisation. TRIAL REGISTRATION: Australian New Zealand Clinical Trial Registry: ACTRN12614000252617 . Registered 10 March 2014.
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“One study [32] reported a 56% loss to follow-up in the intervention group and 65% in the control group”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [32]
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“Furthermore, 4 studies [32,37,38,45] reported low activity tracker wear time, with 1 study [32] reporting that all participants had ceased wearing their activity tracker by the end of the intervention.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [32]
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“Actual wear time of the activity tracker varied, ranging from over 90% wear time [21,22] to all participants ceasing to wear the device by the end of the intervention [32] as the study design allowed self-directed wear of the activity tracker.”
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“The 2 studies that were 12 months or longer [32,37] reported lower adherence rates compared with shorter duration studies.”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [32]
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“Less time was spent in sedentary behavior for those receiving a consumer-based wearable activity tracker intervention compared with control groups; however, the finding was not significant, and the quality of the evidence was graded as very low [29,31-33,37-40].”
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“A total of 26 studies were included across all meta-analyses [21,22,29-48,50-53].”
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“Moreover, 17 studies reported activity tracker adherence data [21,22,30,32,34,35, 37,38,40,41,43-45,50-52,54], with 13 of these studies [21,22,30,34,35,40,41,43,44,50-52,54] reporting activity tracker wear on at least 50% of the study intervention days.”
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“Thirteen studies included young adults (≤39.9 years) [30-34,37,38,42,44,46-48,50], 15 included middle-aged adults (40-64.9 years) [21,22,29,35,36,39-41, 43,45,51-54], and 1 study included adults aged over 65 years [49].”
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“In addition, 8 studies [29,32,33,37,42,43,46,48] that reported physical activity outcome measures had greater than 20% loss to follow-up, with 3 of these studies reporting a reduction in physical activity participation.”
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“Only 1 included study [32] specifically aimed to reduce sitting time.”
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Metadata
- Authors
- Brakenridge, C. L., Fjeldsoe, B. S., Young, D. C., Winkler, E. A. H., Dunstan, D. W., Straker, L. M., & Healy, G. N.
- Affiliations
- The University of Queensland (AU)
- Baker Heart and Diabetes Institute (AU)
- Curtin University (AU)
- Corresponding author
- Brakenridge, C. L.
- ORCID
- Venue
- International Journal of Behavioral Nutrition and Physical Activity
- Published
- 2016-11-04
- Volume
- 13
- Issue
- 1
- Pages
- 115-115
- ISSN
- 1479-5868 (ISSN-L)
- PMC
- PMC5097432
- OpenAlex
- W2548170855
- Cited by
- 109
- References
- 58
- Citations by year
- 2026: 6 · 2025: 5 · 2024: 7 · 2023: 9 · 2022: 12 · 2021: 12 · 2020: 21 · 2019: 12 · 2018: 18 · 2017: 6 · 2016: 1
- FWCI
- 9.93
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- International Journal of Behavioral Nutrition and Physical Activity (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Monash University Research Portal (Monash University) (submittedVersion, other-oa)
- UWA Profiles and Research Repository (UWA) (submittedVersion, cc-by)
- Own your potential (DEAKIN) (submittedVersion)
- eSpace (Curtin University) (submittedVersion, cc-by)
- Figshare (submittedVersion, cc-by)
- Funders
- National Heart Foundation of Australia (100216)
- Office Ergonomics Research Committee
- Lendlease
- National Health and Medical Research Council (1019980, 108029)
- Victorian Government’s Operational Infrastructure Support Program
- Australian Postgraduate Award
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Social Sciences › Human Factors and Ergonomics › Ergonomics and Musculoskeletal Disorders
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Workplace Health and Well-being
- Keywords
- sitting time, office workers, wearable activity trackers, organizational support, workplace health promotion, real-time feedback, posture, standing time, stepping, prolonged sitting, step count, manager support, sedentary behavior, workplace interventions
- MeSH terms
- Fitness Trackers, Adult, Feedback, Female, Health Promotion, Humans, Male, Middle Aged, Occupations, Posture, Surveys and Questionnaires, Work, Walking, Occupational Health, Treatment Outcome, Workplace, Monitoring, Ambulatory, Young Adult, Actigraphy, Sedentary Behavior
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