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Association between Cooperative Attitude and High-Risk Behaviors on the Spread of COVID-19 Infection among Medical Students in Japan

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  • Chie Hirama

    (Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan)

  • Zechen Zeng

    (Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan)

  • Nobutoshi Nawa

    (Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan)

  • Takeo Fujiwara

    (Department of Global Health Promotion, Tokyo Medical and Dental University, 1-5-45 Yushima, Bunkyo-ku, Tokyo 113-8510, Japan)

Abstract

The impact of high-risk behaviors on the spread of COVID-19 infection among young people is an important problem to address. This study analyzed the association between cooperativeness and high-risk behaviors. We conducted a cross-sectional study among fourth-year medical students at Tokyo Medical and Dental University. The students were asked about cooperative attitude in a hypothetical situation of performing a task together with an unfamiliar classmate, who did not cooperate to complete the task previously. The response items were as follows: “cooperate”, “don’t want to cooperate and do it alone (non-cooperative)”, and “don’t want to cooperate and let the partner do it alone (punishment)”. Eating out and vaccine hesitancy were also treated as high-risk behaviors. Poisson regression was used to investigate the association between cooperative attitude and each high-risk behavior, adjusted for demographics. Of the 98 students, 23 (23.5%), 44 (44.9%), and 31 (31.6%) students chose “noncooperative”, “cooperative”, and “punishment”, respectively. Cooperative-type students exhibited 2.77-fold (PR: 2.77, 95% CI: 1.03–7.46), and punishment-type students exhibited 3.16-fold greater risk of eating or drinking out (PR: 3.16, 95% CI: 1.14–8.75) compared with those of the noncooperative type. Among medical students, the “cooperative” type and “punishment” type comprised the high-risk group for eating out during the pandemic.

Suggested Citation

  • Chie Hirama & Zechen Zeng & Nobutoshi Nawa & Takeo Fujiwara, 2022. "Association between Cooperative Attitude and High-Risk Behaviors on the Spread of COVID-19 Infection among Medical Students in Japan," IJERPH, MDPI, vol. 19(24), pages 1-10, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16578-:d:998972
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    1. Edward L. Glaeser & Ginger Z. Jin & Benjamin T. Leyden & Michael Luca, 2021. "Learning from deregulation: The asymmetric impact of lockdown and reopening on risky behavior during COVID‐19," Journal of Regional Science, Wiley Blackwell, vol. 61(4), pages 696-709, September.
    2. Caleb Cox & Matthew Jones & Kevin Pflum & Paul Healy, 2015. "Revealed reputations in the finitely repeated prisoners’ dilemma," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 58(3), pages 441-484, April.
    3. Paul L. Hooper & Hillard S. Kaplan & Adrian V. Jaeggi, 2021. "Gains to cooperation drive the evolution of egalitarianism," Nature Human Behaviour, Nature, vol. 5(7), pages 847-856, July.
    4. Ernst Fehr & Urs Fischbacher, 2003. "The nature of human altruism," Nature, Nature, vol. 425(6960), pages 785-791, October.
    5. Charness, Gary & Gneezy, Uri & Imas, Alex, 2013. "Experimental methods: Eliciting risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 87(C), pages 43-51.
    6. Andreoni, James, 1988. "Why free ride? : Strategies and learning in public goods experiments," Journal of Public Economics, Elsevier, vol. 37(3), pages 291-304, December.
    7. Lönnqvist, Jan-Erik & Verkasalo, Markku & Walkowitz, Gari & Wichardt, Philipp C., 2015. "Measuring individual risk attitudes in the lab: Task or ask? An empirical comparison," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 254-266.
    8. Tetsuya Yamamoto & Chigusa Uchiumi & Naho Suzuki & Junichiro Yoshimoto & Eric Murillo-Rodriguez, 2020. "The Psychological Impact of ‘Mild Lockdown’ in Japan during the COVID-19 Pandemic: A Nationwide Survey under a Declared State of Emergency," IJERPH, MDPI, vol. 17(24), pages 1-19, December.
    9. Villalonga-Olives, E. & Kawachi, I., 2017. "The dark side of social capital: A systematic review of the negative health effects of social capital," Social Science & Medicine, Elsevier, vol. 194(C), pages 105-127.
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