Increasing physical activity by four legs rather than two: systematic review of dog-facilitated physical activity interventions
Bibliographic record
Abstract
OBJECTIVES: Regular walking is a critical target of physical activity (PA) promotion, and dog walking is a feasible PA intervention for a large segment of the population. The purpose of this paper was to review PA interventions that have involved canine interactions and to evaluate their effectiveness. A secondary aim of this review was to highlight the populations, settings, designs and intervention components that have been applied so as to inform future research. DESIGN: Systematic review. DATA SOURCES: We carried out literature searches to August 2019 using six common databases. ELIGIBILITY CRITERIA: Studies included published papers in peer-reviewed journals and grey literature (theses and dissertations) in the English language that included any PA behaviour change design (ie, randomised controlled trial, quasi-experimental) that focused on canine-related intervention. We grouped findings by population, setting, medium, research design and quality, theory and behaviour change techniques applied. RESULTS: The initial search yielded 25 010 publications which were reduced to 13 independent studies of medium and high risks of bias after screening for eligibility criteria. The approaches to intervene on PA were varied and included loaner dogs, new dog owners and the promotion of walking among established dog owners. Findings were consistent in showing that canine-assisted interventions do increase PA (82% of the studies had changes favouring the canine-facilitated intervention). Exploratory subanalyses showed that specific study characteristics and methods may have moderated the effects. Compared with studies with longer follow-up periods, studies with shorter follow-up favoured behaviour changes of the canine intervention over the control condition. CONCLUSION: based PA interventions appear effective, but future research should move beyond feasibility and proof of concept studies to increase rigour, quality and generalisability of findings.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".