IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v134y2015icp66-75.html
   My bibliography  Save this article

Concussion under-reporting and pressure from coaches, teammates, fans, and parents

Author

Listed:
  • Kroshus, Emily
  • Garnett, Bernice
  • Hawrilenko, Matt
  • Baugh, Christine M.
  • Calzo, Jerel P.

Abstract

Concussions from sport present a substantial public health burden given the number of youth, adolescent and emerging adult athletes that participate in contact or collision sports. Athletes who fail to report symptoms of a suspected concussion and continue play are at risk of worsened symptomatology and potentially catastrophic neurologic consequences if another impact is sustained during this vulnerable period. Understanding why athletes do or do not report their symptoms is critical for developing efficacious strategies for risk reduction. Psychosocial theories and frameworks that explicitly incorporate context, as a source of expectations about the outcomes of reporting and as a source of behavioral reinforcement, are useful in framing this problem. The present study quantifies the pressure that athletes experience to continue playing after a head impact—from coaches, teammates, parents, and fans—and assesses how this pressure, both independently and as a system, is related to future concussion reporting intention. Participants in the study were 328 male and female athletes from 19 teams competing in one of seven sports (soccer, lacrosse, basketball, softball, baseball, volleyball, field hockey) at four colleges in the northeast region of the United States. Results found that more than one-quarter of the sample had experienced pressure from at least one source to continue playing after a head impact during the previous year. Results of a latent profile mixture model indicated that athletes who experienced pressure from all four of the measured sources were significantly more likely to intend to continue playing in the future than were athletes who had not experienced pressure from all sources, or only pressure from coaches and teammates. These findings underscore the importance of designing interventions that address the system in which athletes make decisions about concussion reporting, including athletes' parents, rather than focusing solely on modifying the individual's reporting cognitions.

Suggested Citation

  • Kroshus, Emily & Garnett, Bernice & Hawrilenko, Matt & Baugh, Christine M. & Calzo, Jerel P., 2015. "Concussion under-reporting and pressure from coaches, teammates, fans, and parents," Social Science & Medicine, Elsevier, vol. 134(C), pages 66-75.
  • Handle: RePEc:eee:socmed:v:134:y:2015:i:c:p:66-75
    DOI: 10.1016/j.socscimed.2015.04.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953615002403
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2015.04.011?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. Vermunt, Jeroen K., 2010. "Latent Class Modeling with Covariates: Two Improved Three-Step Approaches," Political Analysis, Cambridge University Press, vol. 18(4), pages 450-469.
    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. Keita Suzuki & Satoshi Nagai & Satoru Nishida & Koichi Iwai & Masahiro Takemura, 2023. "Reasons for the Reporting Behavior of Japanese Collegiate Rugby Union Players Regarding Suspected Concussion Symptoms: A Propensity Analysis," IJERPH, MDPI, vol. 20(3), pages 1-15, January.
    2. Craig A Foster & Christopher D’Lauro & Brian R Johnson, 2019. "Pilots and athletes: Different concerns, similar concussion non-disclosure," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-19, May.
    3. Warmath, Dee & Winterstein, Andrew P. & Myrden, Susan, 2022. "Parents and coaches as transformational leaders: Motivating high school athletes’ intentions to report concussion symptoms across socioeconomic statuses," Social Science & Medicine, Elsevier, vol. 292(C).
    4. Tyler S. Gibb & Kathryn Redinger & Casey Fealko & Sonia Parikh, 2021. "Considerations for Pediatric Retirement from Athletics Following Repetitive Concussive Traumatic Brain Injury: Incorporating the Right to an Open Future," IJERPH, MDPI, vol. 18(5), pages 1-10, February.
    5. Yanbing Chen & Conor Buggy & Seamus Kelly, 2022. "Managing the Wellbeing of Elite Rugby Union Players from an Occupational Safety and Health Perspective," IJERPH, MDPI, vol. 19(19), pages 1-18, September.

    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. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    2. Yifan Zhu & Chongzhi Di & Ying Qing Chen, 2019. "Clustering Functional Data with Application to Electronic Medication Adherence Monitoring in HIV Prevention Trials," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 11(2), pages 238-261, July.
    3. Roberto Rocci & Stefano Antonio Gattone & Roberto Di Mari, 2018. "A data driven equivariant approach to constrained Gaussian mixture modeling," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 12(2), pages 235-260, June.
    4. Thøgersen, John, 2017. "Housing-related lifestyle and energy saving: A multi-level approach," Energy Policy, Elsevier, vol. 102(C), pages 73-87.
    5. Gil, J.M. & Diaz-Montenegro, J. & Varela, E., 2018. "A Bias-Adjusted Three-Step approach for analysing the livelihood strategies and the asset mix of cacao producers in Ecuador," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277215, International Association of Agricultural Economists.
    6. Layland, Eric K. & Maggs, Jennifer L. & Kipke, Michele D. & Bray, Bethany C., 2022. "Intersecting racism and homonegativism among sexual minority men of color: Latent class analysis of multidimensional stigma with subgroup differences in health and sociostructural burdens," Social Science & Medicine, Elsevier, vol. 293(C).
    7. Jennifer Oser & Marc Hooghe & Zsuzsa Bakk & Roberto Mari, 2023. "Changing citizenship norms among adolescents, 1999-2009-2016: A two-step latent class approach with measurement equivalence testing," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(5), pages 4915-4933, October.
    8. Yujin Kim & Hyeyoung Woo & Sinn Won Han, 2022. "Work and Family Pathways and Their Associations with Health for Young Women in Korea," IJERPH, MDPI, vol. 19(23), pages 1-17, November.
    9. Lecegui, Antonio & Olaizola, Ana María & López-i-Gelats, Feliu & Varela, Elsa, 2022. "Implementing the livelihood resilience framework: An indicator-based model for assessing mountain pastoral farming systems," Agricultural Systems, Elsevier, vol. 199(C).
    10. Sasso, Alessandro & Hernández-Alava, Mónica & Holmes, John & Field, Matt & Angus, Colin & Meier, Petra, 2022. "Strategies to cut down drinking, alcohol consumption, and usual drinking frequency: Evidence from a British online market research survey," Social Science & Medicine, Elsevier, vol. 310(C).
    11. Sarah R Lowe & Ethan J Raker & Mary C Waters & Jean E Rhodes, 2020. "Predisaster predictors of posttraumatic stress symptom trajectories: An analysis of low-income women in the aftermath of Hurricane Katrina," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-19, October.
    12. Aely Park & Youngmi Kim & Jennifer Murphy, 2023. "Adverse Childhood Experiences and Substance Use Among Korean College Students: Different by Gender?," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 16(4), pages 1811-1825, August.
    13. Zsuzsa Bakk & Jouni Kuha, 2018. "Two-Step Estimation of Models Between Latent Classes and External Variables," Psychometrika, Springer;The Psychometric Society, vol. 83(4), pages 871-892, December.
    14. S. C. Noah Uhrig & Nicole Watson, 2020. "The Impact of Measurement Error on Wage Decompositions: Evidence From the British Household Panel Survey and the Household, Income and Labour Dynamics in Australia Survey," Sociological Methods & Research, , vol. 49(1), pages 43-78, February.
    15. Bakk, Zsuzsa & Kuha, Jouni, 2020. "Relating latent class membership to external variables: an overview," LSE Research Online Documents on Economics 107564, London School of Economics and Political Science, LSE Library.
    16. Herwig Immervoll & Daniele Pacifico & Marieke Vandeweyer, 2019. "Faces of joblessness in Australia: An anatomy of employment barriers using household data," OECD Social, Employment and Migration Working Papers 226, OECD Publishing.
    17. Chen, Runting & Huang, Yueyi & Yu, Meng, 2021. "The latent profile analysis of Chinese adolescents’ depression: Examination and validation," Children and Youth Services Review, Elsevier, vol. 125(C).
    18. Kanchewa, Stella & Christensen, Kirsten M. & Poon, Cyanea Y.S. & Parnes, McKenna & Schwartz, Sarah, 2021. "More than fun and games? Understanding the role of school-based mentor-mentee match activity profiles in relationship processes and outcomes," Children and Youth Services Review, Elsevier, vol. 120(C).
    19. Gugerty, Mary Kay & Mitchell, George E. & Santamarina, Francisco J., 2021. "Discourses of evaluation: Institutional logics and organizational practices among international development agencies," World Development, Elsevier, vol. 146(C).
    20. David Aristei & Silvia Bacci & Francesco Bartolucci & Silvia Pandolfi, 2021. "A bivariate finite mixture growth model with selection," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 15(3), pages 759-793, September.

    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:134:y:2015:i:c:p:66-75. 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.