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Background <p>Numerous studies have suggested an association between loneliness and depression in cancer survivors, particularly adolescents and young adults (AYAs). This study aimed to develop a causal model linking loneliness to depression using structural equation modeling.</p> Methods <p>A cross-sectional web-based survey was conducted to collect demographic information and psychosocial measures, including the UCLA Loneliness Scale, Patient Health Questionnaire-9, EQ-5D-5L, Multidimensional Scale of Perceived Social Support short form, Brief Resilience Scale, Comprehensive Score for Financial Toxicity, and a single item on cancer-related stigma. Structural equation modeling with observed variables was conducted, focusing on the pathway from loneliness to depression. Multiple-group analysis was used to compare AYAs and non-AYAs.</p> Results <p>The study included 3,565 cancer survivors, of whom 743 (20.8%) were AYAs. The final model showed a significant association between loneliness and depression (standardized coefficient = 0.214; 95% confidence interval = 0.184–0.243; <i>P</i> &lt; 0.001). Perceived social support, resilience, financial toxicity, and stigma were directly or indirectly related to loneliness and depression. Female sex and having a spouse or partner were associated with perceived social support, whereas non-job-related social participation was associated with loneliness. The association between loneliness and depression was significantly stronger among AYAs than non-AYAs.</p> Conclusions <p>The results suggested a significant link between loneliness and depression, with a stronger pathway in AYAs. Loneliness may serve as a modifiable mediator for interventions targeting depression prevention among AYA cancer survivors. The psychosocial variables identified could aid in screening high-risk individuals and developing effective interventions.</p>

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Impact of loneliness on depression among cancer survivors: a comparison between adolescents and young adults and other age groups

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月16日

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  • Ken Kurisu,
  • Masako Okamura,
  • Keiko Ozawa,
  • Saki Harashima,
  • Kazuhiro Yoshiuchi,
  • Yosuke Uchitomi,
  • Maiko Fujimori

摘要

Background

Numerous studies have suggested an association between loneliness and depression in cancer survivors, particularly adolescents and young adults (AYAs). This study aimed to develop a causal model linking loneliness to depression using structural equation modeling.

Methods

A cross-sectional web-based survey was conducted to collect demographic information and psychosocial measures, including the UCLA Loneliness Scale, Patient Health Questionnaire-9, EQ-5D-5L, Multidimensional Scale of Perceived Social Support short form, Brief Resilience Scale, Comprehensive Score for Financial Toxicity, and a single item on cancer-related stigma. Structural equation modeling with observed variables was conducted, focusing on the pathway from loneliness to depression. Multiple-group analysis was used to compare AYAs and non-AYAs.

Results

The study included 3,565 cancer survivors, of whom 743 (20.8%) were AYAs. The final model showed a significant association between loneliness and depression (standardized coefficient = 0.214; 95% confidence interval = 0.184–0.243; P < 0.001). Perceived social support, resilience, financial toxicity, and stigma were directly or indirectly related to loneliness and depression. Female sex and having a spouse or partner were associated with perceived social support, whereas non-job-related social participation was associated with loneliness. The association between loneliness and depression was significantly stronger among AYAs than non-AYAs.

Conclusions

The results suggested a significant link between loneliness and depression, with a stronger pathway in AYAs. Loneliness may serve as a modifiable mediator for interventions targeting depression prevention among AYA cancer survivors. The psychosocial variables identified could aid in screening high-risk individuals and developing effective interventions.