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Associations between Gender Expression, Protective Coping Strategies, Alcohol Saliency, and High-Risk Alcohol Use in Post-Secondary Students at Two Canadian Universities

Author

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  • Anees Bahji

    (Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
    Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada)

  • Paul Boonmak

    (Department of Public Health Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Michelle Koller

    (Department of Public Health Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Christina Milani

    (Department of Public Health Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Cate Sutherland

    (Department of Public Health Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Salinda Horgan

    (School of Rehabilitation Therapy, Queen’s University, Kingston, ON K7L 3N6, Canada)

  • Shu-Ping Chen

    (Department of Occupational Therapy, Faculty of Rehabilitation Medicine, University of Alberta, Edmonton, AB T6G 2R3, Canada)

  • Scott Patten

    (Department of Psychiatry, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada
    Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada)

  • Heather Stuart

    (Department of Public Health Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada)

Abstract

Background: This study, conducted in October 2017 at two Canadian universities, aimed to explore the relationships between gender expression, protective coping strategies, alcohol saliency, and high-risk alcohol use. Methods: Validated scales were employed to assess these variables using survey data. Multivariate analyses were conducted to investigate the associations between these factors and high-risk drinking. Results: This study revealed significant associations between high-risk drinking and androgynous gender roles (OR = 1.58, 95% CI: 1.19–2.10) as well as among self-reported males (OR = 2.21; 95% CI: 1.77–2.75). Additionally, protective behavioural strategies were inversely related to high-risk drinking (OR = 0.95; 95% CI: 0.94–0.96), while higher alcohol saliency exhibited a positive correlation with high-risk drinking (OR = 1.12; 95% CI: 1.11–1.14). Conclusions: These findings underscore the importance of considering gender, alcohol saliency beliefs, and protective behavioural strategies in the development and refinement of interventions aimed at reducing high-risk alcohol use on Canadian campuses.

Suggested Citation

  • Anees Bahji & Paul Boonmak & Michelle Koller & Christina Milani & Cate Sutherland & Salinda Horgan & Shu-Ping Chen & Scott Patten & Heather Stuart, 2024. "Associations between Gender Expression, Protective Coping Strategies, Alcohol Saliency, and High-Risk Alcohol Use in Post-Secondary Students at Two Canadian Universities," IJERPH, MDPI, vol. 21(1), pages 1-12, January.
  • Handle: RePEc:gam:jijerp:v:21:y:2024:i:1:p:107-:d:1321754
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    References listed on IDEAS

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    1. Lumley, Thomas, 2004. "Analysis of Complex Survey Samples," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 9(i08).
    2. Kypros Kypri & Brett Maclennan & Kimberly Cousins & Jennie Connor, 2018. "Hazardous Drinking among Students over a Decade of University Policy Change: Controlled Before-and-After Evaluation," IJERPH, MDPI, vol. 15(10), pages 1-11, September.
    3. Carmen Tabernero & Tamara Gutiérrez-Domingo & Bárbara Luque & Olaya García-Vázquez & Esther Cuadrado, 2019. "Protective Behavioral Strategies and Alcohol Consumption: The Moderating Role of Drinking-Group Gender Composition," IJERPH, MDPI, vol. 16(5), pages 1-13, March.
    4. Wechsler, H. & Dowdall, G.W. & Davenport, A. & Rimm, E.B., 1995. "A gender-specific measure of binge drinking among college students," American Journal of Public Health, American Public Health Association, vol. 85(7), pages 982-985.
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