Effect of Behavior-Change Interventions on Daily Physical Activity in Patients with Intermittent Claudication: The OPTIMA Systematic Review and Meta-Analysis
Bibliographic record
Abstract
AIMS: The study aimed to synthesize evidence of daily physical activity (PA) following Behavior-change technique (BCT)-based interventions compared to any control in individuals with peripheral arterial disease/intermittent claudication (PAD/IC); and examine the relationship between BCTs and daily PA. METHODS AND RESULTS: Systematic search of 11 databases from inception to 30/11/2022 was conducted, plus weekly email alerts of new literature until 31/8/2023. Studies comparing BCT-based interventions with any control were included. Primary analysis involved a pairwise random-effects meta-analysis. Risk of bias was assessed using the Cochrane-RoB-2 and ROBINS-I tools. Certainty of evidence was evaluated with the GRADE system. The Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guideline was followed. Outcome measures were short-term (<6 months) change in daily PA, and maintenance of the daily PA (6 months or longer) reported as standardized mean differences (SMDs) with 95% confidence intervals (95%CIs). Forty-one studies (4339 patients; 26 RCTs/3357 patients; 15 non-RCTs/982 patients; study mean age 60.3 to 73.8, 29.5% female) were included. Eleven RCTs (15 comparisons, 952 participants) suggested that BCT-based interventions increased daily PA in the short term compared to non-SET [increase of 0.20 SMD (95%CI: 0.07 to 0.33), ∼473 steps/day] with high certainty. Evidence of maintenance of daily PA (≥6 months) is unclear [increase of 0.12 SMD (95%CI: -0.04 to 0.29); ∼288 steps/day; 6RCTs, 8 comparisons, 899 participants], with moderate certainty. For daily PA, compared to SET it was inconclusive both for < 6months change [-0.13 SMD, 95%CI: -0.43 to 0.16); 3RCTs, 269 participants; low certainty] and ≥6months [-0.04 SMD, 95%CI: -0.55 to 0.47); 1 RCT, 89 participants; very low certainty]. It was unclear whether the number of BCTs or any BCT domain was independently related to an increase in PA. CONCLUSION: BCT-based interventions improve short-term daily PA in people with PAD/IC compared to non-SET controls. Evidence for maintenance of the improved PA at 6 months or longer and comparison with SET is uncertain. BCT-based interventions are effective choices for enhancing daily PA in PAD/IC.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.032 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.021 | 0.036 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".