Interventions with potential to reduce sedentary time in adults: systematic review and meta-analysis
Open accessAbstract
Context: Time spent in sedentary behaviours (SB) is associated with poor health, irrespective of the level of physical activity. The aim of this study was to evaluate the effect of interventions which included SB as an outcome measure in adults. Methods: Thirteen databases, including The Cochrane Library, MEDLINE and SPORTDiscus, trial registers and reference lists, were searched for randomised controlled trials until January 2014. Study selection, data extraction and quality assessment were performed independently. Primary outcomes included SB, proxy measures of SB and patterns of accumulation of SB. Secondary outcomes were cardiometabolic health, mental health and body composition. Intervention types were categorised as SB only, physical activity (PA) only, PA and SB or lifestyle interventions (PA/SB and diet). Results: Of 8087 records, 51 studies met the inclusion criteria. Meta-analysis of 34/51 studies showed a reduction of 22 min/day in sedentary time in favour of the intervention group (95% CI −35 to −9 min/day, n=5868). Lifestyle interventions reduced SB by 24 min/day (95% CI −41 to −8 min/day, n=3981, moderate quality) and interventions focusing on SB only by 42 min/day (95% CI −79 to −5 min/day, n=62, low quality). There was no evidence of an effect of PA and combined PA/SB interventions on reducing sedentary time. Conclusions: There was evidence that it is possible to intervene to reduce SB in adults. Lifestyle and SB only interventions may be promising approaches. More high quality research is needed to determine if SB interventions are sufficient to produce clinically meaningful and sustainable reductions in sedentary time.
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Although a reduction of sitting time is often observed in interventions targeting physical activity promotion, interventions that specifically target sedentary behaviors are more effective.
“Although a reduction of sitting time is often observed in interventions targeting physical activity promotion, interventions that specifically target sedentary behaviors are more effective [100-102].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [102]
Low-intensity physical activity and using physical activity to break up sedentary habits may be more sustainable alternatives to improve compliance with physical activity.
“Low intensity PA and using PA to break up sedentary habits may be more sustainable alternatives to improve compliance with PA.”
From The Impact of Physical Activity in Patients With Type 2 Diabetes (2025) · cites this paper as [52]
Programs targeting physical activity or combined activity and sedentary behavior are effective at improving physical activity participation.
“although programs targeting physical activity or combined activity and sedentary behavior are effective at improving physical activity participation”
From A Community-Based Physical Activity Counselling Program for People With Knee Osteoarthritis: Feasibility and Preliminary Efficacy of the Track-OA Study (2017) · cites this paper as [48]
Several recent systematic reviews have raised similar issues.
“Similar issues have been raised by several recent systematic reviews on interventions to change activity behavior [47-49].”
From A Community-Based Physical Activity Counselling Program for People With Knee Osteoarthritis: Feasibility and Preliminary Efficacy of the Track-OA Study (2017) · cites this paper as [48]
Only programs designed to change sedentary behavior achieve the best results in reducing sitting time.
“only the ones that are designed to change sedentary behavior achieve the best results in reducing sitting time”
From A Community-Based Physical Activity Counselling Program for People With Knee Osteoarthritis: Feasibility and Preliminary Efficacy of the Track-OA Study (2017) · cites this paper as [48]
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Howlett, N., Trivedi, D., Troop, N. A., & Chater, A. M. (2019) · Translational Behavioral Medicine · doi:10.1093/tbm/iby010 · Cited by 448 · see citing works
Stephenson, A., McDonough, S. M., Murphy, M. H., Nugent, C. D., & Mair, J. L. (2017) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-017-0561-4 · Cited by 290 · see citing works
Dempsey, P. C., Biddle, S. J. H., Buman, M. P., Chastin, S., Ekelund, U., Friedenreich, C. M., Katzmarzyk, P. T., Leitzmann, M. F., Stamatakis, E., van der Ploeg, H. P., et al. (2020) · International Journal of Behavioral Nutrition and Physical Activity · doi:10.1186/s12966-020-01044-0 · Cited by 275 · see citing works
McConnell, M. V., Shcherbina, A., Pavlovic, A., Homburger, J. R., Goldfeder, R. L., Waggot, D., Cho, M. K., Rosenberger, M. E., Haskell, W. L., Myers, J., et al. (2017) · JAMA Cardiology · doi:10.1001/jamacardio.2016.4395 · Cited by 239 · see citing works
Duvivier, B. M. F. M., Schaper, N. C., Hesselink, M. K. C., van Kan, L., Stienen, N., Winkens, B., Koster, A., & Savelberg, H. H. C. M. (2017) · Diabetologia · doi:10.1007/s00125-016-4161-7 · Cited by 212 · see citing works
Mañas, A., del Pozo-Cruz, B., Guadalupe-Grau, A., Marín-Puyalto, J., Alfaro-Acha, A., Rodríguez-Mañas, L., García-García, F. J., & Ara, I. (2018) · Journal of the American Medical Directors Association · doi:10.1016/j.jamda.2017.11.003 · Cited by 86 · see citing works
Li, L. C., Sayre, E. C., Xie, H., Clayton, C., & Feehan, L. M. (2017) · JMIR mHealth and uHealth · doi:10.2196/mhealth.7863 · Cited by 74 · see citing works
Ezeugwu, V. E., & Manns, P. J. (2018) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2018.06.014 · Cited by 64 · see citing works
Balducci, S., D’Errico, V., Haxhi, J., Sacchetti, M., Orlando, G., Cardelli, P., Vitale, M., Bollanti, L., Conti, F., Zanuso, S., et al. (2017) · Diabetes Care · doi:10.2337/dc17-0594 · Cited by 42 · see citing works
Biswas, A., Oh, P. I., Faulkner, G. E., & Alter, D. A. (2018) · Annals of Physical and Rehabilitation Medicine · doi:10.1016/j.rehab.2017.06.003 · Cited by 33 · see citing works
Lewis, L., Povey, R., Rose, S., Cowap, L., Semper, H., Carey, A., Bishop, J., & Clark-Carter, D. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101429 · Cited by 29 · see citing works
The Impact of Physical Activity in Patients With Type 2 Diabetes
Bassin, S. R., & Srinath, R. (2025) · American Journal of Lifestyle Medicine · doi:10.1177/15598276231180541 · Cited by 17 · see citing works
- Authors
- Martin, A., Fitzsimons, C., Jepson, R., Saunders, D. H., van der Ploeg, H. P., Teixeira, P. J., Gray, C. M., & Mutrie, N.
- Affiliations
- University of Edinburgh (GB)
- Scottish Collaboration for Public Health Research and Policy (GB)
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
- University of Lisbon (PT)
- University of Glasgow (GB)
- Corresponding author
- Mutrie, Nanette
- ORCID
- Venue
- British Journal of Sports Medicine
- Publisher
- BMJ
- Published
- 2015-04-23
- Volume
- 49
- Issue
- 16
- Pages
- 1056-1063
- ISSN
- 0306-3674 (ISSN-L)
- 1473-0480
- OpenAlex
- W2118873769
- Cited by
- 326
- References
- 84
- Citations by year
- 2026: 12 · 2025: 14 · 2024: 15 · 2023: 34 · 2022: 28 · 2021: 22 · 2020: 44 · 2019: 30 · 2018: 34 · 2017: 53 · 2016: 31 · 2015: 9
- FWCI
- 5.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- British Journal of Sports Medicine (publishedVersion)
- PubMed (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion)
- VU Research Portal (publishedVersion)
- Pure Amsterdam UMC (submittedVersion, other-oa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by-nc)
- ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Funders
- European Commission (602170)
- Medical Research Council (MR/K023209/1)
- Topics
- Health Sciences › Medicine › Physiology › Physical Activity and Health
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Obesity, Physical Activity, Diet
- Keywords
- sedentary behavior, sedentary time reduction, lifestyle intervention, physical activity interventions, adults, cardiometabolic health, mental health, body composition
- MeSH terms
- Adolescent, Adult, Aged, Exercise Therapy, Female, Health Promotion, Humans, Male, Middle Aged, Time Factors, Randomized Controlled Trials as Topic, Treatment Outcome, Risk Reduction Behavior, Young Adult, Sedentary Behavior
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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