Multi-Centre Randomised Controlled Feasibility Testing of a Physical Activity Micropattern Intervention Among Socioeconomically Diverse Women
Bibliographic record
Abstract
ABSTRACT Background Most physical activity interventions adopt a one-size-fits-all approach, often developed and tested in higher socioeconomic groups, with little consideration of barriers experienced by women from lower socioeconomic backgrounds. Micropatterns, defined as brief bursts of moderate-to-vigorous incidental physical activity lasting under three minutes, represent a form of everyday movement that requires minimal time, equipment, or planning, making them a promising target for intervention. This randomized controlled study evaluated the feasibility, acceptability and potential effectiveness of a co-designed wearable-based micropatterns intervention aimed at increasing moderate-to-vigorous physical activity (MVPA) among socioeconomically diverse women. Methods A multi-centre, single-blinded, 6-week randomised controlled feasibility study was conducted among women from Sydney, Australia and Glasgow, UK aged ≥30 years who self-reported no leisure time physical activity and could comfortably participate in activities of daily living. To ensure socioeconomic diversity, we used quota-based recruitment with area-level and individual-level indicators of socioeconomic status. Participants were randomised to one of three intervention arms; 1) Smartphone application only (APP); 2) smartphone application combined with a wearable device (Fitbit Inspire 3; W-APP); and 3) smartphone application and wearable device, supplemented by a social community component that included two in-person workshops and online forums (W-APP-C). Feasibility was assessed as completion rates of the study and follow-up surveys were conducted to assess the acceptability of the intervention. Wrist-worn accelerometry was collected at pre- and post-intervention to assess the potential effectiveness of the intervention. Results Forty-three participants (mean age (SD); 54.8 (10.7) years) were recruited across both sites (APP n = 13; W-APP n = 17; W-APP-C n = 13). When taking into consideration individual-level indicators of socioeconomic status including income, number of dependents, and educational attainment, there was diverse representation across low (20.9%), medium (48.8%), and high (30.2%) socioeconomic groups. Completion of the 6-week intervention was high across both intervention sites and all three trial arms (86%). Qualitative feedback from both trial sites indicated high satisfaction, the majority of the participants thought the intervention was enjoyable (97.9%), user-friendly (69.9%), the wearable technology increased motivation to do activity (87.5%), and the community workshops were beneficial (75%). Across all participants, there was an average daily increase of 9.8 (27.8) min/day MVPA following the intervention. The greatest increase in MVPA was observed in the W-APP-C group (15.5 (23.1) min/day), followed by the APP group (11.4 (25.5) min/day), and the W-APP group 2.6 (32.1) min/day. Conclusions This multi-centre randomised controlled feasibility trial highlights the feasibility and acceptability of a wearable-based micropattern intervention in women from socioeconomically and culturally diverse backgrounds.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".