IDEAS home Printed from https://ideas.repec.org/a/gam/jscscx/v13y2024i5p257-d1392268.html
   My bibliography  Save this article

Gender-Based Biopsychosocial Correlates of Truancy in Physical Education: A National Survey among Adolescents in Benin

Author

Listed:
  • Medina Srem-Sai

    (Department of Health, Physical Education, Recreation and Sport, University of Education, Winneba P.O. Box 25, Ghana)

  • Edmond Kwesi Agormedah

    (Department of Business and Social Sciences Education, University of Cape Coast, Cape Coast P.O. Box 5007, Ghana)

  • John Elvis Hagan

    (Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast P.O. Box 5007, Ghana
    Neurocognition and Action Research Group, Faculty of Psychology and Sports Science, Bielefeld University, Postfach 10 01 31, D-33501 Bielefeld, Germany)

  • Newton Isaac Gbordzoe

    (School of Nursing and Midwifery, Family Health University College, Teshie, Accra P.O. Box TS 667, Ghana)

  • Jacob Owusu Sarfo

    (Department of Health, Physical Education and Recreation, University of Cape Coast, Cape Coast P.O. Box 5007, Ghana)

Abstract

Truancy among in-school adolescents has long been established as a major issue that negatively impacts educational attainment or goals and mental health-related issues. However, research on subjects such as physical education (PE) truancy and its correlates is somewhat limited. This study estimated the prevalence of PE and assessed the factors associated with PE truancy in Benin among in-school adolescents. The 2016 Benin’s Global School-Based Health Survey (GSHS) data from a sample of in-school adolescents (n = 2496; 13–17 years) were used for data analysis. The overall prevalence of past 30-day truancy in PE class was 15.4%, with female adolescents reporting a higher prevalence of PE truancy than their male counterparts. Stratified by gender, the regression analyses showed that males in 3rd–6th grade (aOR = 0.69, CI = 0.50–0.96) experiencing hunger (aOR = 0.51, CI = 0.32–0.81) and having suicidal ideations (aOR = 1.64, CI = 1.07–2.53) predisposed adolescents to PE truant behaviour. For female in-school adolescents experiencing hunger (aOR = 1.75, CI = 1.15–2.65), drinking alcohol (aOR = 0.62, CI = 0.44–0.87), having sedentary lifestyles (aOR = 0.62, CI = 0.40–0.96), and being physically attacked (aOR = 0.53, CI = 0.33–0.87) were significantly associated with PE truancy. However, understanding and supportive parents [aOR = 0.61, 95% CI = 0.41–0.91] was a protective factor against PE truancy. The present findings suggest the design of gender-sensitive school-based interventions to help minimise or prevent PE truancy among in-school adolescents in Benin based on the predisposing factors while emphasising the protective influences.

Suggested Citation

  • Medina Srem-Sai & Edmond Kwesi Agormedah & John Elvis Hagan & Newton Isaac Gbordzoe & Jacob Owusu Sarfo, 2024. "Gender-Based Biopsychosocial Correlates of Truancy in Physical Education: A National Survey among Adolescents in Benin," Social Sciences, MDPI, vol. 13(5), pages 1-16, May.
  • Handle: RePEc:gam:jscscx:v:13:y:2024:i:5:p:257-:d:1392268
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2076-0760/13/5/257/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2076-0760/13/5/257/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Aucejo, Esteban M. & Romano, Teresa Foy, 2016. "Assessing the effect of school days and absences on test score performance," Economics of Education Review, Elsevier, vol. 55(C), pages 70-87.
    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. Sonia Bhalotra & Martin Karlsson & Therese Nilsson & Nina Schwarz, 2022. "Infant Health, Cognitive Performance, and Earnings: Evidence from Inception of the Welfare State in Sweden," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1138-1156, November.
    2. Liu, Jing & Lee, Monica & Gershenson, Seth, 2021. "The short- and long-run impacts of secondary school absences," Journal of Public Economics, Elsevier, vol. 199(C).
    3. Thompson, Paul N., 2021. "Is four less than five? Effects of four-day school weeks on student achievement in Oregon," Journal of Public Economics, Elsevier, vol. 193(C).
    4. Huebener, Mathias & Kuger, Susanne & Marcus, Jan, 2017. "Increased instruction hours and the widening gap in student performance," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 47, pages 15-34.
    5. Damien de Walque & Christine Valente, 2023. "Incentivizing School Attendance in the Presence of Parent-Child Information Frictions," American Economic Journal: Economic Policy, American Economic Association, vol. 15(3), pages 256-285, August.
    6. Barrios-Fernández, Andrés & Bovini, Giulia, 2021. "It’s time to learn: School institutions and returns to instruction time," Economics of Education Review, Elsevier, vol. 80(C).
    7. Niki, Minae, 2024. "Does the reduction in instruction time affect student achievement and motivation? Evidence from Japan," Japan and the World Economy, Elsevier, vol. 70(C).
    8. Philipp Ager & Katherine Eriksson & Ezra Karger & Peter Nencka & Melissa A. Thomasson, 2024. "School Closures during the 1918 Flu Pandemic," The Review of Economics and Statistics, MIT Press, vol. 106(1), pages 266-276, January.
    9. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt & Rouland, Benedicte, 2021. "Academic achievement and wellbeing of dual language learners: Evidence from a busing program," Journal of Urban Economics, Elsevier, vol. 126(C).
    10. Heller-Sahlgren, Gabriel, 2018. "Smart but unhappy: Independent-school competition and the wellbeing-efficiency trade-off in education," Economics of Education Review, Elsevier, vol. 62(C), pages 66-81.
    11. Daniel Borbely & Markus Gehrsitz & Stuart McIntyre & Gennaro Rossi, 2022. "Does the Provision of Universal Free School Meals Improve School Attendance and Behaviour?," Working Papers 22-5, University of Strathclyde Business School, Department of Economics.
    12. Kóczán, Zs., 2024. "Lasting scars: The long-term effects of school closures on earnings," World Development, Elsevier, vol. 176(C).
    13. Murat, Marina & Bonacini, Luca, 2020. "Coronavirus pandemic, remote learning and education inequalities," GLO Discussion Paper Series 679, Global Labor Organization (GLO).
    14. Hull, Marie C. & Duch, Katherine, 2017. "One-To-One Technology and Student Outcomes," IZA Discussion Papers 10886, Institute of Labor Economics (IZA).
    15. Damm, Anna Piil & Mattana, Elena & Nielsen, Helena Skyt, 2022. "Effects of school displacement on academic achievement and wellbeing of ethnic minorities," Labour Economics, Elsevier, vol. 79(C).
    16. Abrahamsen, Signe A. & Ginja, Rita & Riise, Julie, 2021. "School Health Programs: Education, Health, and Welfare Dependency of Young Adults," IZA Discussion Papers 14546, Institute of Labor Economics (IZA).
    17. Thompson, Paul N., 2019. "Effects of Four-Day School Weeks on Student Achievement: Evidence from Oregon," IZA Discussion Papers 12204, Institute of Labor Economics (IZA).
    18. Arora, Puneet & Musaddiq, Tareena, 2023. "Can rank-based non-monetary rewards improve student attendance? Experimental evidence from India," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 107(C).
    19. Martin Foureaux Koppensteiner & Lívia Menezes, 2021. "Violence and Human Capital Investments," Journal of Labor Economics, University of Chicago Press, vol. 39(3), pages 787-823.
    20. Gershenson, Seth, 2016. "Should Value-Added Models Control for Student Absences?," IZA Discussion Papers 9978, Institute of Labor Economics (IZA).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:gam:jscscx:v:13:y:2024:i:5:p:257-:d:1392268. 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.