ArticleInternational journal of environmental research and public health2021
Inequalities and Inclusion in Exercise Referral Schemes: A Mixed-Method Multi-Scheme Analysis.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evaluation of the uptake, retention and effectiveness of exercise referral schemes for the management of mental health conditions in primary care: a systematic review.BMC public health · 2022Pooled it
- Maintaining physical activity in people with long-term conditions following engagement in physical activity referral schemes: barriers, enablers, and intervention strategies.The international journal of behavioral nutrition and physical activity · 2025Article
- An evaluation of a community-based intervention in England aiming to reduce inequalities in exercise participation.Frontiers in sports and active living · 2025Article
- Consensus in Action: Context-Specific Physical Activity Guidelines for Undergraduate Students at a South African University.International journal of environmental research and public health · 2024Article
- Assessing the role of biomarker feedback in a 12-week community weight management programme among overweight men: A pilot study.PloS one · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
Physical activity prescription, commonly through exercise referral schemes, is an established disease prevention and management pathway. There is considerable heterogeneity in terms of uptake, adherence, and outcomes, but because within-scheme analyses dominate previous research, there is limited contextual understanding of this variance. Both the impact of schemes on health inequalities and best practices for inclusion of at-risk groups are unclear. To address this, we modelled secondary data from the multi-scheme National Referral Database, comprising 23,782 individuals across 14 referral schemes, using a multilevel Bayesian inference approach. Scheme-level local demographics identified over-sampling in uptake; on the basis of uptake and completion data, more inclusive schemes (
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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.