ReviewJournal of public health (Oxford, England)2017
A formative review of physical activity interventions for minority ethnic populations in England.
Review in Journal of public health (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Association Between Patient Factors and the Effectiveness of Wearable Trackers at Increasing the Number of Steps per Day Among Adults With Cardiometabolic Conditions: Meta-analysis of Individual Patient Data From Randomized Controlled Trials.Journal of medical Internet research · 2022Pooled it
- Article
- Health service access for ethnically underrepresented communities: A scoping review of complex interventions.PloS one · 2026Article
- Attitudes to and perceptions of workplace health promotion amongst employees from ethnic minorities in the UK: A scoping review.Work (Reading, Mass.) · 2024Article
- Article
- Improving adult behavioural weight management services for diverse UK Black Caribbean and Black African ethnic groups: a qualitative study of insights from potential service users and service providers.Frontiers in public health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Physical activity (PA) levels are lower among some UK Black and minority ethnic (BME) groups than the majority White British population and a variety of tailored interventions have emerged. This study documents the characteristics and logic of local adaptations, a vital first step in evaluating such innovations. Methods: An English PA data set was examined to identify and characterize PA programmes focussed on BME populations. Three case studies were conducted, employing documentary analysis and qualitative interviews. Netto et al.'s principles of adapting health promotion interventions for BME populations guided the analysis. Results: Out of 861 PA interventions, 57 focussed on BME populations. These were typically aimed to engage the most inactive groups, improve both health and social outcomes and were largely publically/charitably funded. Tailored approaches matched Netto et al.'s five principles: using community resources for publicity, identifying and addressing barriers, developing sensitive communication strategies, working with values and accommodating cultural identification. Another common principle was identified: building community capacity for sustainability. Conclusions: PA interventions tailored to the needs of BME groups reflect their largely disadvantaged position in society and focus on inactivity. The six principles could be used as a framework for developing, designing and evaluating tailored interventions for BME populations.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.