IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i2p418-d306423.html
   My bibliography  Save this article

Family Income Gradients in Adolescent Obesity, Overweight and Adiposity Persist in Extremely Deprived and Extremely Affluent Neighbourhoods but Not in Middle-Class Neighbourhoods: Evidence from the UK Millennium Cohort Study

Author

Listed:
  • Michael Osei Mireku

    (School of Psychology, University of Lincoln, Lincoln LN6 7TS, UK
    Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK)

  • Alina Rodriguez

    (Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London W2 1PG, UK)

Abstract

We investigated whether family income gradients in obesity, overweight, and adiposity persist at geographic-level deprivation quintiles using a nationally representative cohort of UK adolescents. Data from 11,714 eligible adolescents from the sixth sweep of the Millennium Cohort Study (14 years old) were analysed in this study. The International Obesity Task Force age- and sex-specific thresholds were used to define obesity and overweight. Self-reported family income was standardized using the Organisation for Economic Co-operation and Development (OECD)’s equivalised income scale. Geographic-level deprivation was defined by the index of multiple deprivation 2004. Results showed that the prevalence of obesity and overweight was 8.0% and 27.2%, respectively. Mean percentage body fat was 16.9% (standard error, SE = 0.2%) in male and 27.3% ( SE = 0.1%) in female adolescents. Risk of obesity, overweight, and adiposity increased with decreasing family income quintiles ( p for trend <0.001). After stratifying by geographic-level deprivation quintiles, a U-shaped association emerged, whereby family income gradients in the risk of adolescent obesity and adiposity persisted in extremely affluent and extremely deprived neighbourhoods but attenuated to non-significance in middle-class neighbourhoods. These results focus on the findings from England. Recognition of the persistence of inequalities in the risk of obesity in the most deprived and affluent neighbourhoods may be necessary in planning public health resources and interventions.

Suggested Citation

  • Michael Osei Mireku & Alina Rodriguez, 2020. "Family Income Gradients in Adolescent Obesity, Overweight and Adiposity Persist in Extremely Deprived and Extremely Affluent Neighbourhoods but Not in Middle-Class Neighbourhoods: Evidence from the UK," IJERPH, MDPI, vol. 17(2), pages 1-12, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:2:p:418-:d:306423
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/2/418/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/2/418/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Patrick Ip & Frederick Ka Wing Ho & Hung-Kwan So & Dorothy Fung-ying Chan & Matthew Ho & Winnie Tso & E Anthony S Nelson, 2016. "Socioeconomic Gradient in Childhood Obesity and Hypertension: A Multilevel Population-Based Study in a Chinese Community," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-12, June.
    2. Walsh, Brendan & Cullinan, John, 2015. "Decomposing socioeconomic inequalities in childhood obesity: Evidence from Ireland," Economics & Human Biology, Elsevier, vol. 16(C), pages 60-72.
    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. Stuart Gilmour & Phuong Le Mai & Phuong Nguyen & Bibha Dhungel & Maki Tomizawa & Huy Nguyen, 2020. "Progress towards Health for All: Time to End Discrimination and Marginalization," IJERPH, MDPI, vol. 17(5), pages 1-5, 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. Slawa Rokicki & Mark E. McGovern, 2020. "Heterogeneity in Early Life Investments: A Longitudinal Analysis of Children's Time Use," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 647-676, September.
    2. Edberg, Dana & Mukhopadhyay, Sankar & Wendel, Jeanne, 2019. "Incentive design to boost health for juveniles with Medicaid coverage: Evidence from a field experiment," Economics & Human Biology, Elsevier, vol. 33(C), pages 101-115.
    3. Pasqualini, M. & Lanari, D. & Minelli, L. & Pieroni, L. & Salmasi, L., 2017. "Health and income inequalities in Europe: What is the role of circumstances?," Economics & Human Biology, Elsevier, vol. 26(C), pages 164-173.
    4. Jianwei Shi & Duxun Tan & Huilin Xie & Beilei Yang & Rui Liu & Dehua Yu & Yuan Lu & Bing Mei & Zhaoxin Wang, 2017. "Unequal Distribution of Overweight Adolescents in Immigrant-Rich Areas: Analysis of Disparities among Public and Private School Students in Shanghai, China," IJERPH, MDPI, vol. 14(3), pages 1-15, March.
    5. Hui Huang & Che Wan Jasimah bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2017. "Family Environment and Childhood Obesity: A New Framework with Structural Equation Modeling," IJERPH, MDPI, vol. 14(2), pages 1-20, February.
    6. Antelo, Manel & Magdalena, Pilar & Reboredo, Juan C., 2017. "Obesity: A major problem for Spanish minors," Economics & Human Biology, Elsevier, vol. 24(C), pages 61-73.
    7. Madden, David, 2017. "Childhood obesity and maternal education in Ireland," Economics & Human Biology, Elsevier, vol. 27(PA), pages 114-125.
    8. James, Adrian & Mendolia, Silvia & Paloyo, Alfredo R., 2021. "Income-based inequality of adolescent obesity in Australia," Economics Letters, Elsevier, vol. 198(C).
    9. David (David Patrick) Madden, 2017. "Mind the Gap: Revisiting the Concentration Index for Overweight," Working Papers 201722, School of Economics, University College Dublin.
    10. Farrell, Niall, 2017. "What Factors Drive Inequalities in Carbon Tax Incidence? Decomposing Socioeconomic Inequalities in Carbon Tax Incidence in Ireland," Ecological Economics, Elsevier, vol. 142(C), pages 31-45.
    11. Cullinan, John & Cawley, John, 2017. "Parental misclassification of child overweight/obese status: The role of parental education and parental weight status," Economics & Human Biology, Elsevier, vol. 24(C), pages 92-103.
    12. Dasgupta, Kabir & Solomon, Keisha T., 2018. "Family size effects on childhood obesity: Evidence on the quantity-quality trade-off using the NLSY," Economics & Human Biology, Elsevier, vol. 29(C), pages 42-55.
    13. Hamman, Mary K., 2021. "Disparities in COVID-19 mortality by county racial composition and the role of spring social distancing measures," Economics & Human Biology, Elsevier, vol. 41(C).
    14. Esha Bansal & Donatella Placidi & Shaye Carver & Stefano Renzetti & Augusto Giorgino & Giuseppa Cagna & Silvia Zoni & Chiara Fedrighi & Miriana Montemurro & Manuela Oppini & Michele Conversano & Stefa, 2019. "Metabolic Outcomes in Southern Italian Preadolescents Residing Near an Industrial Complex: The Role of Residential Location and Socioeconomic Status," IJERPH, MDPI, vol. 16(11), pages 1-16, June.
    15. John Cullinan & Paddy Gillespie, 2016. "Does Overweight and Obesity Impact on Self‐Rated Health? Evidence Using Instrumental Variables Ordered Probit Models," Health Economics, John Wiley & Sons, Ltd., vol. 25(10), pages 1341-1348, October.
    16. Datis Khajeheian & Amir Mohammad Colabi & Nordiana Binti Ahmad Kharman Shah & Che Wan Jasimah Bt Wan Mohamed Radzi & Hashem Salarzadeh Jenatabadi, 2018. "Effect of Social Media on Child Obesity: Application of Structural Equation Modeling with the Taguchi Method," IJERPH, MDPI, vol. 15(7), pages 1-22, June.
    17. Niall Farrell, 2024. "Small Area Poverty Estimation by Conditional Monte Carlo," Papers WP773, Economic and Social Research Institute (ESRI).
    18. Smyth, Emer & Banks, Joanne & O’Sullivan, Jessica & McCoy, Selina & Redmond, Paul & McGuinness, Seamus, 2019. "Evaluation of the National Youthreach Programme," Research Series, Economic and Social Research Institute (ESRI), number RS82.

    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:2:p:418-:d:306423. 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.