Enhancing Urban Health Through a Community of Practice to Promote Active Lifestyle in a Population with Chronic Diseases: The +ACTIU Project
Bibliographic record
Abstract
Urban environments play an important influence in influencing healthy lifestyles and reducing sedentary behaviour (SB), particularly as facilitators of physical activity (PA). Urban spaces often do not support healthy lifestyles. A Community of Practice (CoP) could be a valuable strategy for co-designing proposals to enhance healthy and active urban environments. We aimed to develop strategies through a CoP to promote PA and reduce SB in the urban setting of a multicultural population based in the Barcelona Metropolitan Area, with a particular focus on people with chronic diseases. A three-session CoP involving 25 participants (community members with chronic conditions, health professionals, urban planners, and local authorities) was implemented as a participatory research approach to identify barriers and facilitators to PA and co-design feasible urban improvement proposals. Ethical approval was obtained from Bellvitge University Hospital's Ethics Committee. Participants provided informed consent and image release forms. Participants highlighted the importance of accessible, adaptable, and interconnected urban spaces to address barriers and leverage facilitators to PA. Proposed interventions targeted four selected areas of the neighbourhood and included expanding shaded areas, creating pedestrian-friendly routes and enhancing green spaces. This study highlights the effectiveness of a CoP in identifying and addressing barriers to PA within urban environments for people with chronic diseases. Findings emphasise the impact of neighbourhood design and accessibility on reducing SB and promoting active lifestyles. The participatory approach offers a replicable model for other urban settings aiming to foster health, although its qualitative and local nature limits generalisability.
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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 | 0.009 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".