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Objective <p>Medical students often experience high levels of loneliness due to the demanding nature of their academic, clinical, and personal responsibilities.</p> Methods <p>This study investigated the contributions of perceived and received social support to loneliness among Canadian medical students (<i>N</i> = 154). Participants completed self-report measures assessing perceived support, received support, and loneliness.</p> Results <p>Bayesian regression model–based analyses revealed that, after controlling for demographics and overall received support, perceived social integration and attachment were significant predictors of lower loneliness (integration and attachment model: BF<sub>M</sub> = 68.99, <i>R</i><sup>2</sup> = 0.71), providing very strong evidence in favor of these predictors over simpler models. Specifically, integration (BF<sub>inclusion</sub> = 3.60 × 10), reflecting a sense of belonging, and attachment (BF<sub>inclusion</sub> = 87.10), reflecting emotional closeness, emerged as the strongest correlates of lower loneliness.</p> Conclusion <p>This study emphasized the importance of integration and acceptance in mitigating medical student loneliness. Tailored interventions focusing on integration and attachment could help reduce loneliness and enhance well-being in this population.</p>

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Distinguishing Received and Perceived Social Support in Medical Education: Key Predictors of Medical Student Loneliness

  • 期刊论文

  • 发表日期：

    2025年12月18日

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  • Chloe Lau,
  • Samantha Chen,
  • Donald H. Saklofske

摘要

Objective

Medical students often experience high levels of loneliness due to the demanding nature of their academic, clinical, and personal responsibilities.

Methods

This study investigated the contributions of perceived and received social support to loneliness among Canadian medical students (N = 154). Participants completed self-report measures assessing perceived support, received support, and loneliness.

Results

Bayesian regression model–based analyses revealed that, after controlling for demographics and overall received support, perceived social integration and attachment were significant predictors of lower loneliness (integration and attachment model: BFM = 68.99, R2 = 0.71), providing very strong evidence in favor of these predictors over simpler models. Specifically, integration (BFinclusion = 3.60 × 10), reflecting a sense of belonging, and attachment (BFinclusion = 87.10), reflecting emotional closeness, emerged as the strongest correlates of lower loneliness.

Conclusion

This study emphasized the importance of integration and acceptance in mitigating medical student loneliness. Tailored interventions focusing on integration and attachment could help reduce loneliness and enhance well-being in this population.