Interventions to reduce sedentary behaviour in community-dwelling older adults: a mixed-method review

Older adults are the fastest-growing and most sedentary group in society. As sedentary behaviour is associated with deleterious health outcomes, reducing sedentary time may improve overall well-being. This mixed-methods systematic review aimed to systematically review quantitative and qualitative studies examining interventions to reduce sedentary behaviour in community-dwelling older adults (aged ≥ 65 years). Medline, Embase, Cochrane Central Register of Controlled Trials, Web of Science, Cinahl, SportDiscus, and PEDRO were searched from inception to July 2025. We included quantitative studies (randomised-controlled trials (RCTs) and cluster RCTs), qualitative studies (semi-structured interviews or focus groups), and mixed-method studies exploring interventions to reduce sedentary behaviour in community-dwelling older adults. Studies were appraised using the Mixed Method Appraisal Tool. Quantitative evidence was meta-analysed; qualitative evidence was thematically synthesised, with both combined in a mixed-method synthesis. The Behaviour Change Techniques employed were charted and analysed. Fifty-six studies (16 RCTs, 30 qualitative, and 10 mixed-method studies) were included. When pooled, interventions reduced sedentary behaviour by 27.53 min/day (95% CI: − 57.43 to 2.37), with greater reductions observed via self-report (–83.65 min/day) than device measures (–11.61 min/day). Using ≥ 11 BCTs (-24.01 min/day) was more effective than using 1–10 (9.24 min/day). Analytical themes included what sitting means to older adults, expectations of ageing, and social influence in older adults. The mixed-method synthesis identified that existing interventions are limited by recruited samples that are not representative of the wider population of older adults, and intervention design and outcome measurement selection that is not consistent with older adults’ priorities. Interventions to reduce sedentary behaviour in community-dwelling older adults are somewhat effective at reducing sedentary time. Future research should focus on inclusive recruitment strategies to recruit underrepresented populations, incorporate outcome measures valued by older adults, and align intervention content with their preferences. CRD42021264954.

Authors

Institutions

Publication Details

Journal
International Journal of Behavioral Nutrition and Physical Activity
Published
2025-11-12
DOI
https://doi.org/10.1186/s12966-025-01835-3
Primary Topic
Physical Activity and Health
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interventions to reduce sedentary behaviour in community-dwelling older adults: a mixed-method review

Andrew Paul Clegg, Anne Förster, Peter A Coventry, Amanda Farrin et al.
International Journal of Behavioral Nutrition and Physical Activity
Physical Activity and Health
article

Interventions to reduce sedentary behaviour in community-dwelling older adults: a mixed-method review

Andrew Paul Clegg, Anne Förster, Peter A Coventry, Amanda Farrin, Ragy Tadrous
article en

Abstract

Older adults are the fastest-growing and most sedentary group in society. As sedentary behaviour is associated with deleterious health outcomes, reducing sedentary time may improve overall well-being. This mixed-methods systematic review aimed to systematically review quantitative and qualitative studies examining interventions to reduce sedentary behaviour in community-dwelling older adults (aged ≥ 65 years). Medline, Embase, Cochrane Central Register of Controlled Trials, Web of Science, Cinahl, SportDiscus, and PEDRO were searched from inception to July 2025. We included quantitative studies (randomised-controlled trials (RCTs) and cluster RCTs), qualitative studies (semi-structured interviews or focus groups), and mixed-method studies exploring interventions to reduce sedentary behaviour in community-dwelling older adults. Studies were appraised using the Mixed Method Appraisal Tool. Quantitative evidence was meta-analysed; qualitative evidence was thematically synthesised, with both combined in a mixed-method synthesis. The Behaviour Change Techniques employed were charted and analysed. Fifty-six studies (16 RCTs, 30 qualitative, and 10 mixed-method studies) were included. When pooled, interventions reduced sedentary behaviour by 27.53 min/day (95% CI: − 57.43 to 2.37), with greater reductions observed via self-report (–83.65 min/day) than device measures (–11.61 min/day). Using ≥ 11 BCTs (-24.01 min/day) was more effective than using 1–10 (9.24 min/day). Analytical themes included what sitting means to older adults, expectations of ageing, and social influence in older adults. The mixed-method synthesis identified that existing interventions are limited by recruited samples that are not representative of the wider population of older adults, and intervention design and outcome measurement selection that is not consistent with older adults’ priorities. Interventions to reduce sedentary behaviour in community-dwelling older adults are somewhat effective at reducing sedentary time. Future research should focus on inclusive recruitment strategies to recruit underrepresented populations, incorporate outcome measures valued by older adults, and align intervention content with their preferences. CRD42021264954.

International Journal of Behavioral Nutrition and Physical ActivityVol. 22(1)
University of Leeds (GB), University of Bradford (GB), King's College London (GB), Leeds Trinity University (GB), University of York (GB)
National Institute for Health and Care Research, King's College London
Openalex Percentile: Top 58%
Physical Activity and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.