IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5297-d388400.html
   My bibliography  Save this article

The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes, Expectations and Experiences across a Social Gradient

Author

Listed:
  • Caroline J. Dodd-Reynolds

    (Department of Sport and Exercise Sciences, Durham University, Durham DH1 3HN, UK
    Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham DH1 3HN, UK
    Durham Research Methods Centre, Durham University, Durham DH1 3HN, UK)

  • Dimitris Vallis

    (Durham Research Methods Centre, Durham University, Durham DH1 3HN, UK)

  • Adetayo Kasim

    (Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham DH1 3HN, UK
    Durham Research Methods Centre, Durham University, Durham DH1 3HN, UK
    Department of Anthropology, Durham University, Durham DH1 3HN, UK)

  • Nasima Akhter

    (Wolfson Research Institute for Health and Wellbeing Physical Activity Special Interest Group, Durham University, Durham DH1 3HN, UK
    Department of Anthropology, Durham University, Durham DH1 3HN, UK)

  • Coral L. Hanson

    (School of Health and Social Care, Edinburgh Napier University, Edinburgh EH11 4BN, UK)

Abstract

Exercise referral schemes (ERS) are internationally recognised, yet little attention has been paid to discrete referral groups or the influence of wider social determinants of health. The primary quantitative element of this mixed methods study used a mixed effects linear model to examine associations of sociodemographic predictors, obesity class and profession of referrer on weight and physical activity (PA) variables for weight-related referrals ( n = 3624) to an established 24-week ERS. Chained equations modelling imputed missing data. The embedded qualitative element ( n = 7) used individual semi-structured interviews to explore participant weight-related expectations and experiences. Age, gender and profession of referrer influenced weight loss. PA increased and was influenced by age and gender. The weight gap between the most and least obese narrowed over time but the PA gap between most and least widened. Age, employment and obesity class were most predictive of missing data but would unlikely alter overall conclusions. Qualitative themes were weight-loss support, personal circumstances and strategies, and weight expectations versus wellbeing rewards. This ERS worked, did not widen existing obesity inequalities, but demonstrated evidence of PA inequalities for those living with deprivation. To improve equity of experience, we recommend further stakeholder dialogue around referral experience and ongoing support needs.

Suggested Citation

  • Caroline J. Dodd-Reynolds & Dimitris Vallis & Adetayo Kasim & Nasima Akhter & Coral L. Hanson, 2020. "The Northumberland Exercise Referral Scheme as a Universal Community Weight Management Programme: A Mixed Methods Exploration of Outcomes, Expectations and Experiences across a Social Gradient," IJERPH, MDPI, vol. 17(15), pages 1-21, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5297-:d:388400
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5297/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/15/5297/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. White, Ian R. & Daniel, Rhian & Royston, Patrick, 2010. "Avoiding bias due to perfect prediction in multiple imputation of incomplete categorical variables," Computational Statistics & Data Analysis, Elsevier, vol. 54(10), pages 2267-2275, October.
    2. Tim Althoff & Rok Sosič & Jennifer L. Hicks & Abby C. King & Scott L. Delp & Jure Leskovec, 2017. "Large-scale physical activity data reveal worldwide activity inequality," Nature, Nature, vol. 547(7663), pages 336-339, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jordan Bell & Lis Neubeck & Kai Jin & Paul Kelly & Coral L. Hanson, 2021. "Understanding Leisure Centre-Based Physical Activity after Physical Activity Referral: Evidence from Scheme Participants and Completers in Northumberland UK," IJERPH, MDPI, vol. 18(6), pages 1-14, March.
    2. Emily J. Oliver & Caroline Dodd-Reynolds & Adetayo Kasim & Dimitrios Vallis, 2021. "Inequalities and Inclusion in Exercise Referral Schemes: A Mixed-Method Multi-Scheme Analysis," IJERPH, MDPI, vol. 18(6), pages 1-19, March.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeong-Hui Park & Eunhye Yoo & Youngdeok Kim & Jung-Min Lee, 2021. "What Happened Pre- and during COVID-19 in South Korea? Comparing Physical Activity, Sleep Time, and Body Weight Status," IJERPH, MDPI, vol. 18(11), pages 1-13, May.
    2. Cristiana Lucretia POP & Cristina FILIP & Rela Valentina CIOMAG & Cristina Ionela NAE & Marian Victor ZAMFIR, 2022. "Walking – a Form of Exercise," Marathon, Department of Pshisycal Education and Sport, Academy of Economic Studies, Bucharest, Romania, vol. 14(2), pages 77-83, December.
    3. Elisa Menardo & Stefano De Dominicis & Margherita Pasini, 2022. "Exploring Perceived and Objective Measures of the Neighborhood Environment and Associations with Physical Activity among Adults: A Review and a Meta-Analytic Structural Equation Model," IJERPH, MDPI, vol. 19(5), pages 1-15, February.
    4. Doidge, James C & Higgins, Daryl J & Delfabbro, Paul & Edwards, Ben & Vassallo, Suzanne & Toumbourou, John W & Segal, Leonie, 2017. "Economic predictors of child maltreatment in an Australian population-based birth cohort," Children and Youth Services Review, Elsevier, vol. 72(C), pages 14-25.
    5. Angelo Rampinelli & Juan Felipe Calderón & Carola A. Blazquez & Karen Sauer-Brand & Nicolás Hamann & José Ignacio Nazif-Munoz, 2022. "Investigating the Risk Factors Associated with Injury Severity in Pedestrian Crashes in Santiago, Chile," IJERPH, MDPI, vol. 19(17), pages 1-21, September.
    6. Regiane Lopes de Sales & EvenJheice Calixto de Oliveira, 2018. "Glycemic Index and Glycemic Load in Children and Adolescents and its Association with Obesity and Diabetes," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 6(5), pages 86-88, March.
    7. Ferrari, Pier Alda & Annoni, Paola & Barbiero, Alessandro & Manzi, Giancarlo, 2011. "An imputation method for categorical variables with application to nonlinear principal component analysis," Computational Statistics & Data Analysis, Elsevier, vol. 55(7), pages 2410-2420, July.
    8. Alesia Ferguson & Ashok Dwivedi & Foluke Adelabu & Esther Ehindero & Mehdi Lamssali & Emmanuel Obeng-Gyasi & Kristina Mena & Helena Solo-Gabriele, 2021. "Quantified Activity Patterns for Young Children in Beach Environments Relevant for Exposure to Contaminants," IJERPH, MDPI, vol. 18(6), pages 1-19, March.
    9. Sharifullah Alemi & Keiko Nakamura & Ahmad Shekib Arab & Mohammad Omar Mashal & Yuri Tashiro & Kaoruko Seino & Shafiqullah Hemat, 2021. "Gender-Specific Prevalence of Risk Factors for Non-Communicable Diseases by Health Service Use among Schoolteachers in Afghanistan," IJERPH, MDPI, vol. 18(11), pages 1-14, May.
    10. Daichi Okabe & Taishi Tsuji & Masamichi Hanazato & Yasuhiro Miyaguni & Nao Asada & Katsunori Kondo, 2019. "Neighborhood Walkability in Relation to Knee and Low Back Pain in Older People: A Multilevel Cross-Sectional Study from the JAGES," IJERPH, MDPI, vol. 16(23), pages 1-13, November.
    11. Marek Franěk & Lukáš Režný, 2021. "Environmental Features Influence Walking Speed: The Effect of Urban Greenery," Land, MDPI, vol. 10(5), pages 1-20, April.
    12. Ahmad R. Alsaber & Jiazhu Pan & Adeeba Al-Hurban, 2021. "Handling Complex Missing Data Using Random Forest Approach for an Air Quality Monitoring Dataset: A Case Study of Kuwait Environmental Data (2012 to 2018)," IJERPH, MDPI, vol. 18(3), pages 1-25, February.
    13. Golan Benisti & Orna Baron-Epel, 2023. "Applying the Socioecological Model to Map Factors Associated with Military Physical Activity Adherence," IJERPH, MDPI, vol. 20(11), pages 1-12, June.
    14. Muhammad Badar Habib & Selina Khoo & Tony Morris, 2022. "Motives and Passion of Adults from Pakistan toward Physical Activity," IJERPH, MDPI, vol. 19(6), pages 1-17, March.
    15. Royston, Patrick & White, Ian R., 2011. "Multiple Imputation by Chained Equations (MICE): Implementation in Stata," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 45(i04).
    16. Lars P. Feld & Sarah Necker & Bruno S. Frey, 2015. "Happiness of economists," Applied Economics, Taylor & Francis Journals, vol. 47(10), pages 990-1007, February.
    17. Naoto Miyashita & Tomohiro Ishida & Tatsunori Ikemoto & Atsuhiko Hirasawa & Young-Chang Arai & Masataka Deie, 2022. "Smartphone Use Is Associated with Low Prevalence of Locomotive Syndrome among Elderly Individuals with Musculoskeletal Disorders," IJERPH, MDPI, vol. 19(23), pages 1-8, December.
    18. Ahmad B. Hassanat & Sami Mnasri & Mohammed A. Aseeri & Khaled Alhazmi & Omar Cheikhrouhou & Ghada Altarawneh & Malek Alrashidi & Ahmad S. Tarawneh & Khalid S. Almohammadi & Hani Almoamari, 2021. "A Simulation Model for Forecasting COVID-19 Pandemic Spread: Analytical Results Based on the Current Saudi COVID-19 Data," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    19. Reza C. Daniels, 2012. "Univariate Multiple Imputation for Coarse Employee Income Data," SALDRU Working Papers 88, Southern Africa Labour and Development Research Unit, University of Cape Town.
    20. Marjolein Duijvestijn & Saskia W. van den Berg & G. C. Wanda Wendel-Vos, 2020. "Adhering to the 2017 Dutch Physical Activity Guidelines: A Trend over Time 2001–2018," IJERPH, MDPI, vol. 17(3), pages 1-16, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5297-:d:388400. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.