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Motivational interviewing to increase physical activity in people with chronic health conditions: a systematic review and meta-analysis
Abstract
Objective: A systematic review and meta-analysis of randomized controlled trials to determine if motivational interviewing leads to increased physical activity, cardiorespiratory fitness or functional exercise capacity in people with chronic health conditions. Data sources: Seven electronic databases (MEDLINE, PsychINFO, EMBASE, AMED, CINHAL, SPORTDiscus and the Cochrane Central Register of Controlled trials) were searched from inception until January 2014. Trial selection: Two reviewers independently examined publications for inclusion. Trials were included if participants were adults (>18 years), had a chronic health condition, used motivational interviewing as the intervention and examined physical activity, cardiorespiratory fitness or functional exercise capacity. Data extraction: Two reviewers independently extracted data. Risk of bias within trials was assessed using the Physiotherapy Evidence Database Scale. Data synthesis: Meta-analyses were conducted with standardized mean differences and 95% confidence intervals (CIs) were calculated. The Grades of Recommendation, Assessment, Development and Evaluation approach was used to evaluate the quality of the evidence. Results: Eleven publications (of ten trials) were included. There was moderate level evidence that motivational interviewing had a small effect in increasing physical activity levels in people with chronic health conditions relative to comparison groups (standardized mean differences = 0.19, 95% CI 0.06 to 0.32, p = 0.004). Sensitivity analysis based on trials that confirmed treatment fidelity produced a larger effect. No conclusive evidence was observed for cardiorespiratory fitness or functional exercise capacity. Conclusion: The addition of motivational interviewing to usual care may lead to modest improvements in physical activity for people with chronic health conditions.
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“however, evidence regarding their long-term effectiveness is limited [15-17].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [16]
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“Issues with long-term adherence to lifestyle and behavioral change interventions are well recognized [16,17,97].”
From Consumer-based wearable activity trackers increase physical activity participation: systematic review and meta-analysis (2019) · cites this paper as [16]
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Metadata
- Authors
- O’Halloran, P. D., Blackstock, F., Shields, N., Holland, A., Iles, R., Kingsley, M., Bernhardt, J., Lannin, N., Morris, M. E., & Taylor, N. F.
- Affiliations
- La Trobe University (AU)
- Northern Health (AU)
- Monash University (AU)
- ORCID
- Venue
- Clinical Rehabilitation
- Publisher
- SAGE Publications
- Published
- 2014-06-18
- Volume
- 28
- Issue
- 12
- Pages
- 1159-1171
- ISSN
- 0269-2155 (ISSN-L)
- 1477-0873
- OpenAlex
- W2105149876
- Cited by
- 398
- References
- 42
- Citations by year
- 2026: 19 · 2025: 26 · 2024: 37 · 2023: 36 · 2022: 48 · 2021: 37 · 2020: 44 · 2019: 35 · 2018: 29 · 2017: 47 · 2016: 20 · 2015: 16 · 2014: 2
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Rehabilitation (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Physical Activity and Health
- Social Sciences › Psychology › Applied Psychology › Behavioral Health and Interventions
- Social Sciences › Psychology › Social Psychology › Motivation and Self-Concept in Sports
- Keywords
- motivational interviewing, physical activity, chronic disease, cardiorespiratory fitness, functional exercise capacity, intervention fidelity, usual care, exercise adherence
- MeSH terms
- Adult, Cardiovascular Physiological Phenomena, Chronic Disease, Humans, Middle Aged, Motor Activity, Physical Fitness, Randomized Controlled Trials as Topic, Databases, Bibliographic, Exercise Tolerance, Motivational Interviewing
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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