IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/38edu2016.html
   My bibliography  Save this paper

Extracurricular Sport and Risk Behaviour: Are They Related?

Author

Listed:
  • Daria K. Khodorenko

    (National Research University Higher School of Economics)

  • Vera V. Titkova

    (National Research University Higher School of Economics)

Abstract

This study focuses on the relationship between extracurricular activity (specifically, group and individual sports) and adolescent drinking behaviour. To examine how participation in sports is related to the frequency and intensity of alcohol consumption we use hierarchical regression analysis. Our sample consists of 2961 students from 29 vocational schools in St. Petersburg. We demonstrate that participation in individual and team sports increases the risk of teenagers being involved in drinking behaviour; however the frequency of regular alcohol consumption is not associated with participation in sports. Students’ gender, socio-economic status and cultural capital, as well as residence status (living with parents or in the dorm) were significantly associated with teenage drinking behaviour: females and students living in a dorm were at greater risk of being involved in drinking, while regular alcohol consumption was more prevalent among males and students with a higher socio-economic status

Suggested Citation

  • Daria K. Khodorenko & Vera V. Titkova, 2016. "Extracurricular Sport and Risk Behaviour: Are They Related?," HSE Working papers WP BRP 38/EDU/2016, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:38edu2016
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2016/11/18/1110076351/38EDU2016.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lopez, Rigoberto A. & Spreen, Thomas H., 1984. "The Impact of Alternative Payment Arrangements on the Performance of Florida Sugarcane Cooperatives," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 16(2), pages 99-108, December.
    2. Minoru Takakura, 2015. "Relations of participation in organized activities to smoking and drinking among Japanese youth: contextual effects of structural social capital in high school," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 60(6), pages 679-689, September.
    3. Matthias Richter & Emmanuel Kuntsche & Margaretha Looze & Timo-Kolja Pförtner, 2013. "Trends in socioeconomic inequalities in adolescent alcohol use in Germany between 1994 and 2006," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(5), pages 777-784, October.
    4. Hirotugu Akaike, 1987. "Factor analysis and AIC," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 317-332, September.
    5. Yana Roshchina & Petr Martynenko, 2014. "Patterns of Alcohol Consumption as a Social Group Indicator in Modern Russian Cities," Journal of Economic Sociology, National Research University Higher School of Economics, vol. 15(1), pages 20-42.
    6. Sergey Kosaretsky & Boris Kupriyanov & Darya Filippova, 2016. "Specific Features of Children Involvement in Supplementary Education Depending on Cultural, Educational and Financial Status of Families and Place of Living," Voprosy obrazovaniya / Educational Studies Moscow, National Research University Higher School of Economics, issue 1, pages 168-190.
    Full references (including those not matched with items on IDEAS)

    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. Jiwon Lee & Midam An & Yongku Kim & Jung-In Seo, 2021. "Optimal Allocation for Electric Vehicle Charging Stations," Energies, MDPI, vol. 14(18), pages 1-10, September.
    2. Benjamin G Schultz & Catherine J Stevens & Peter E Keller & Barbara Tillmann, 2013. "A Sequence Identification Measurement Model to Investigate the Implicit Learning of Metrical Temporal Patterns," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-1, September.
    3. Daniela Andreini & Diego Rinallo & Giuseppe Pedeliento & Mara Bergamaschi, 2017. "Brands and Religion in the Secularized Marketplace and Workplace: Insights from the Case of an Italian Hospital Renamed After a Roman Catholic Pope," Journal of Business Ethics, Springer, vol. 141(3), pages 529-550, March.
    4. Andreas Wienke & Anne M. Herskind & Kaare Christensen & Axel Skytthe & Anatoli I. Yashin, 2002. "The influence of smoking and BMI on heritability in susceptibility to coronary heart disease," MPIDR Working Papers WP-2002-003, Max Planck Institute for Demographic Research, Rostock, Germany.
    5. Byrd, T. A. & Marshall, T. E., 1997. "Relating information technology investment to organizational performance: a causal model analysis," Omega, Elsevier, vol. 25(1), pages 43-56, February.
    6. Berry, Brian J.L. & Okulicz-Kozaryn, Adam, 2008. "Are there ENSO signals in the macroeconomy," Ecological Economics, Elsevier, vol. 64(3), pages 625-633, January.
    7. Nicos Nicolaou & Scott Shane, 2019. "Common genetic effects on risk-taking preferences and choices," Journal of Risk and Uncertainty, Springer, vol. 59(3), pages 261-279, December.
    8. Stephen Richards, 2010. "Author's response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(4), pages 920-924, October.
    9. Ken B Hanscombe & Maciej Trzaskowski & Claire M A Haworth & Oliver S P Davis & Philip S Dale & Robert Plomin, 2012. "Socioeconomic Status (SES) and Children's Intelligence (IQ): In a UK-Representative Sample SES Moderates the Environmental, Not Genetic, Effect on IQ," PLOS ONE, Public Library of Science, vol. 7(2), pages 1-16, February.
    10. Zhang, Quanzhong & Wei, Haiyan & Liu, Jing & Zhao, Zefang & Ran, Qiao & Gu, Wei, 2021. "A Bayesian network with fuzzy mathematics for species habitat suitability analysis: A case with limited Angelica sinensis (Oliv.) Diels data," Ecological Modelling, Elsevier, vol. 450(C).
    11. Oh, Man-Suk, 2014. "Bayesian comparison of models with inequality and equality constraints," Statistics & Probability Letters, Elsevier, vol. 84(C), pages 176-182.
    12. Satonori Nasu & Yu Ishibashi & Junichi Ikuta & Shingo Yamane & Ryuji Kobayashi, 2022. "Reliability and Validity of the Japanese Version of the Assessment of Readiness for Mobility Transition (ARMT-J) for Japanese Elderly," IJERPH, MDPI, vol. 19(21), pages 1-14, October.
    13. Hamparsum Bozdogan, 1987. "Model selection and Akaike's Information Criterion (AIC): The general theory and its analytical extensions," Psychometrika, Springer;The Psychometric Society, vol. 52(3), pages 345-370, September.
    14. Golob, Thomas F. & Regan, A C, 2002. "Trucking Industry Preferences for Driver Traveler Information Using Wireless Internet-enabled Devices," University of California Transportation Center, Working Papers qt40q8h6sf, University of California Transportation Center.
    15. Schreier, Alayna & Stenersen, Madeline R. & Strambler, Michael J. & Marshall, Tim & Bracey, Jeana & Kaufman, Joy S., 2023. "Needs of caregivers of youth enrolled in a statewide system of care: A latent class analysis," Children and Youth Services Review, Elsevier, vol. 147(C).
    16. Daisuke Matsumoto & Fujio Inui & Chika Honda & Rie Tomizawa & Mikio Watanabe & Karri Silventoinen & Norio Sakai, 2020. "Heritability and Environmental Correlation of Phase Angle with Anthropometric Measurements: A Twin Study," IJERPH, MDPI, vol. 17(21), pages 1-10, October.
    17. Sanjay Gupta & Kushagra Sinha, 2022. "Assessing the Factors Impacting Transport Usage of Mobility App Users in the National Capital Territory of Delhi, India," Sustainability, MDPI, vol. 14(21), pages 1-20, October.
    18. Schomaker Michael & Heumann Christian, 2011. "Model Averaging in Factor Analysis: An Analysis of Olympic Decathlon Data," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 7(1), pages 1-15, January.
    19. Naiara Escalante Mateos & Eider Goñi Palacios & Arantza Fernández-Zabala & Iratxe Antonio-Agirre, 2020. "Internal Structure, Reliability and Invariance across Gender Using the Multidimensional School Climate Scale PACE-33," IJERPH, MDPI, vol. 17(13), pages 1-24, July.
    20. Zoya Kotelnikova, 2014. "Consumption Of Counterfeit Alcohol In Contemporary Russia: The Role Of Cultural And Structural Factors," HSE Working papers WP BRP 47/SOC/2014, National Research University Higher School of Economics.

    More about this item

    Keywords

    vocational schools; extracurricular education; risk behaviour; alcohol consumption; extracurricular sport activity; adolescent and youth.;
    All these keywords.

    JEL classification:

    • Z00 - Other Special Topics - - General - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:hig:wpaper:38edu2016. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.