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<p>Due to the growing amount of breast cancer survivors we must understand their long-term quality of life (QoL) better. Many breast cancer survivors suffer for years from lower functioning capacity and several symptoms, but outcomes regarding their global Quality of Life (gQoL) are less clear. The current study explored the links between functions, symptoms, and gQoL using a network design. We used data from 364 women who had completed adjuvant chemotherapy or started adjuvant endocrine therapy. QoL, symptomatology and functioning were measured by the EORTC QLQ‐C30 and BR‐23 questionnaires, and depression by the Finnish version of Beck’s 13‐item depression scale. The multivariate inter-dependence between the symptom scales and gQoL was analyzed via regularized partial correlation networks (graphical LASSO). These networks identify associations, not directionality or causality. Our aim was to explore how the functions and symptoms associate with each other and with gQoL during ten-year follow-up, and to identify the most important scales in the network using centrality analysis. The results showed that three key areas—fatigue and physical functioning, emotional functioning and depression, and social and role functioning—emerged as most central to gQoL across all time points. Interventions targeting these areas may therefore have the greatest potential to improve long-term QoL in breast cancer survivors.</p>

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Network analysis of quality of life and depression in a randomized breast cancer trial with ten-years follow-up

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年5月4日

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  • Sofia Hampf,
  • Eleni Kolokotroni,
  • Carl Blomqvist,
  • Liisa Hakamies-Blomqvist,
  • Georgios Stamatakos,
  • Riikka Huovinen,
  • Pirkko-Liisa Kellokumpu-Lehtinen,
  • Tiina Saarto,
  • Paula Poikonen-Saksela

摘要

Due to the growing amount of breast cancer survivors we must understand their long-term quality of life (QoL) better. Many breast cancer survivors suffer for years from lower functioning capacity and several symptoms, but outcomes regarding their global Quality of Life (gQoL) are less clear. The current study explored the links between functions, symptoms, and gQoL using a network design. We used data from 364 women who had completed adjuvant chemotherapy or started adjuvant endocrine therapy. QoL, symptomatology and functioning were measured by the EORTC QLQ‐C30 and BR‐23 questionnaires, and depression by the Finnish version of Beck’s 13‐item depression scale. The multivariate inter-dependence between the symptom scales and gQoL was analyzed via regularized partial correlation networks (graphical LASSO). These networks identify associations, not directionality or causality. Our aim was to explore how the functions and symptoms associate with each other and with gQoL during ten-year follow-up, and to identify the most important scales in the network using centrality analysis. The results showed that three key areas—fatigue and physical functioning, emotional functioning and depression, and social and role functioning—emerged as most central to gQoL across all time points. Interventions targeting these areas may therefore have the greatest potential to improve long-term QoL in breast cancer survivors.