IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v208y2018icp134-141.html
   My bibliography  Save this article

Long term economic impact associated with childhood bullying victimisation

Author

Listed:
  • Brimblecombe, Nicola
  • Evans-Lacko, Sara
  • Knapp, Martin
  • King, Derek
  • Takizawa, Ryu
  • Maughan, Barbara
  • Arseneault, Louise

Abstract

Being bullied is associated with mental health problems in childhood, with increasing evidence of persisting negative impacts, and increased mental health service use, into adulthood. There are also impacts of bullying victimisation on employment, income and being in poverty, but little is known about the long-term economic impacts. We therefore aimed to estimate the most important economic consequences at age 50 of being bullied in childhood: to our knowledge this is the first study that does so. Using 1958 British birth cohort data collected in 1965, 1969, 1991, 2003 and 2008 (study samples size 7323–9242), we find substantial and durable individual and societal economic impacts four decades after the childhood bullying occurred. Both men and women who were bullied in childhood were less likely to be in employment and had accumulated less wealth in the form of home-ownership or savings than participants who were not bullied. Individual earnings from paid employment were lower for women who were bullied in childhood. Frequent bullying in childhood was also associated with higher societal employment-related costs for men and higher health service costs for women. Our findings underline the importance of preventing bullying in childhood and, as the consequences are so long-lasting and pervasive, supporting people still experiencing the negative consequences in the decades that follow.

Suggested Citation

  • Brimblecombe, Nicola & Evans-Lacko, Sara & Knapp, Martin & King, Derek & Takizawa, Ryu & Maughan, Barbara & Arseneault, Louise, 2018. "Long term economic impact associated with childhood bullying victimisation," Social Science & Medicine, Elsevier, vol. 208(C), pages 134-141.
  • Handle: RePEc:eee:socmed:v:208:y:2018:i:c:p:134-141
    DOI: 10.1016/j.socscimed.2018.05.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953618302491
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2018.05.014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. John Mullahy, 1998. "Much Ado About Two: Reconsidering Retransformation and the Two-Part Model in Health Economics," NBER Technical Working Papers 0228, National Bureau of Economic Research, Inc.
    2. Knapp, Martin & McDaid, David & Parsonage, Michael, 2011. "Mental health promotion and mental illness prevention: the economic case," LSE Research Online Documents on Economics 32311, London School of Economics and Political Science, LSE Library.
    3. Michael J. Thomas & Clara H. Mulder, 2016. "Partnership patterns and homeownership: a cross-country comparison of Germany, the Netherlands and the United Kingdom," Housing Studies, Taylor & Francis Journals, vol. 31(8), pages 935-963, November.
    4. Richard Blundell & Antoine Bozio & Guy Laroque, 2013. "Extensive and Intensive Margins of Labour Supply: Work and Working Hours in the US, the UK and France," Fiscal Studies, Institute for Fiscal Studies, vol. 34(1), pages 1-29, March.
    5. McMahon, Elaine M. & Reulbach, Udo & Keeley, Helen & Perry, Ivan J. & Arensman, Ella, 2010. "Bullying victimisation, self harm and associated factors in Irish adolescent boys," Social Science & Medicine, Elsevier, vol. 71(7), pages 1300-1307, October.
    6. Gower, Amy L. & McMorris, Barbara J. & Eisenberg, Marla E., 2015. "School-level contextual predictors of bullying and harassment experiences among adolescents," Social Science & Medicine, Elsevier, vol. 147(C), pages 47-53.
    7. Brown, Sarah & Taylor, Karl, 2008. "Bullying, education and earnings: Evidence from the National Child Development Study," Economics of Education Review, Elsevier, vol. 27(4), pages 387-401, August.
    8. Mullahy, John, 1998. "Much ado about two: reconsidering retransformation and the two-part model in health econometrics," Journal of Health Economics, Elsevier, vol. 17(3), pages 247-281, June.
    9. Glen R. Waddell, 2006. "Labor-Market Consequences of Poor Attitude and Low Self-Esteem in Youth," Economic Inquiry, Western Economic Association International, vol. 44(1), pages 69-97, January.
    10. Stella Chatzitheochari & Samantha Parsons & Lucinda Platt, 2014. "Bullying experiences among disabled children and young people in England: Evidence from two longitudinal studies," DoQSS Working Papers 14-11, Quantitative Social Science - UCL Social Research Institute, University College London.
    11. Manning, Willard G. & Mullahy, John, 2001. "Estimating log models: to transform or not to transform?," Journal of Health Economics, Elsevier, vol. 20(4), pages 461-494, 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. Francis, Jacinta & Strobel, Natalie & Trapp, Gina & Pearce, Natasha & Vaz, Sharmila & Christian, Hayley & Runions, Kevin & Martin, Karen & Cross, Donna, 2022. "How does the school built environment impact students’ bullying behaviour? A scoping review," Social Science & Medicine, Elsevier, vol. 314(C).
    2. Bo Hu & Deborah Carr, 2021. "Is Bullying Victimization in Childhood Associated With Mental Health in Old Age [The long-term impact]," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 76(1), pages 161-172.
    3. Bo Hu, 2021. "Childhood adversity and healthy ageing: a study of the Chinese older population," European Journal of Ageing, Springer, vol. 18(4), pages 523-535, December.
    4. Liu, Yanrong & Hu, Feng, 2021. "Being bullied at school as a child, worse health as an adult? Evidence from China," International Journal of Educational Development, Elsevier, vol. 82(C).
    5. McDaid, David & Park, A-La & Wahlbeck, Kristian, 2019. "The economic case for the prevention of mental illness," LSE Research Online Documents on Economics 100054, London School of Economics and Political Science, LSE Library.
    6. Kim, Jun Hyung & Hahlweg, Kurt & Schulz, Wolfgang, 2021. "Early childhood parenting and adolescent bullying behavior: Evidence from a randomized intervention at ten-year follow-up," Social Science & Medicine, Elsevier, vol. 282(C).
    7. Jacinta Francis & Gina Trapp & Natasha Pearce & Sharyn Burns & Donna Cross, 2022. "School Built Environments and Bullying Behaviour: A Conceptual Model Based on Qualitative Interviews," IJERPH, MDPI, vol. 19(23), pages 1-16, November.

    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. Patrick Richard & Regine Walker & Pierre Alexandre, 2018. "The burden of out of pocket costs and medical debt faced by households with chronic health conditions in the United States," PLOS ONE, Public Library of Science, vol. 13(6), pages 1-13, June.
    2. Buntin, Melinda Beeuwkes & Zaslavsky, Alan M., 2004. "Too much ado about two-part models and transformation?: Comparing methods of modeling Medicare expenditures," Journal of Health Economics, Elsevier, vol. 23(3), pages 525-542, May.
    3. Jones, A.M, 2010. "Models For Health Care," Health, Econometrics and Data Group (HEDG) Working Papers 10/01, HEDG, c/o Department of Economics, University of York.
    4. Carole Roan Gresenz & Jeanette A. Rogowski & Jose Escarce, 2004. "Healthcare Markets, the Safety Net and Access to Care Among the Uninsured," NBER Working Papers 10799, National Bureau of Economic Research, Inc.
    5. Partha Deb & Murat K. Munkin & Pravin K. Trivedi, 2006. "Bayesian analysis of the two‐part model with endogeneity: application to health care expenditure," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(7), pages 1081-1099, November.
    6. Joel Smith & Helen Banks & Harry Campbell & Anne Douglas & Eilidh Fletcher & Alison McCallum & Tron Anders Moger & Mikko Peltola & Sofia Sveréus & Sarah Wild & Linda J. Williams & John Forbes & on beh, 2015. "Parameter Heterogeneity In Breast Cancer Cost Regressions – Evidence From Five European Countries," Health Economics, John Wiley & Sons, Ltd., vol. 24(S2), pages 23-37, December.
    7. Giampiero Marra & Matteo Fasiolo & Rosalba Radice & Rainer Winkelmann, 2023. "A flexible copula regression model with Bernoulli and Tweedie margins for estimating the effect of spending on mental health," Health Economics, John Wiley & Sons, Ltd., vol. 32(6), pages 1305-1322, June.
    8. Jean‐Paul Chaze, 2005. "Assessing household health expenditure with Box–Cox censoring models," Health Economics, John Wiley & Sons, Ltd., vol. 14(9), pages 893-907, September.
    9. Keane, Michael & Stavrunova, Olena, 2016. "Adverse selection, moral hazard and the demand for Medigap insurance," Journal of Econometrics, Elsevier, vol. 190(1), pages 62-78.
    10. Anirban Basu & Bhakti V. Arondekar & Paul J. Rathouz, 2006. "Scale of interest versus scale of estimation: comparing alternative estimators for the incremental costs of a comorbidity," Health Economics, John Wiley & Sons, Ltd., vol. 15(10), pages 1091-1107, October.
    11. Toni Mora & Joan Gil & Antoni Sicras-Mainar, 2015. "The influence of obesity and overweight on medical costs: a panel data perspective," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 16(2), pages 161-173, March.
    12. Marcel Bilger & Willard G. Manning, 2015. "Measuring Overfitting In Nonlinear Models: A New Method And An Application To Health Expenditures," Health Economics, John Wiley & Sons, Ltd., vol. 24(1), pages 75-85, January.
    13. Jay Dev Dubey, 2021. "Measuring Income Elasticity of Healthcare-Seeking Behavior in India: A Conditional Quantile Regression Approach," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 19(4), pages 767-793, December.
    14. Manning, Willard G. & Basu, Anirban & Mullahy, John, 2005. "Generalized modeling approaches to risk adjustment of skewed outcomes data," Journal of Health Economics, Elsevier, vol. 24(3), pages 465-488, May.
    15. Dunn, Abe, 2016. "Health insurance and the demand for medical care: Instrumental variable estimates using health insurer claims data," Journal of Health Economics, Elsevier, vol. 48(C), pages 74-88.
    16. Renke Schmacker & Sinne Smed, 2023. "Sin Taxes and Self-Control," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 1-34, August.
    17. Thompson, Simon G. & Nixon, Richard M. & Grieve, Richard, 2006. "Addressing the issues that arise in analysing multicentre cost data, with application to a multinational study," Journal of Health Economics, Elsevier, vol. 25(6), pages 1015-1028, November.
    18. Kurt Lavetti & Thomas DeLeire & Nicolas R. Ziebarth, 2023. "How do low‐income enrollees in the Affordable Care Act marketplaces respond to cost‐sharing?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 90(1), pages 155-183, March.
    19. Amir Marashi & Shima Ghassem Pour & Vincy Li & Chris Rissel & Federico Girosi, 2019. "The association between physical activity and hospital payments for acute admissions in the Australian population aged 45 and over," PLOS ONE, Public Library of Science, vol. 14(6), pages 1-16, June.
    20. C. GEAY & M. KOUBI & G. de LAGASNERIE, 2015. "Evolution of outpatient healthcare expenditure, a dynamic micro-simulation using the Destinie model," Documents de Travail de l'Insee - INSEE Working Papers g2015-15, Institut National de la Statistique et des Etudes Economiques.

    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:eee:socmed:v:208:y:2018:i:c:p:134-141. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.