Pat-Horenczyk Ruth, Kelada Lauren, Kolokotroni Eleni, Stamatakos Georgios, Dahabre Rawan, Bentley Gabriella, Perry Shlomit, Karademas Evangelos C, Simos Panagiotis, Poikonen-Saksela Paula, Mazzocco Ketti, Sousa Berta, Oliveira-Maia Albino J, Roziner Ilan
School of Social Work and Social Welfare, Hebrew University of Jerusalem, Jerusalem 9190500, Israel.
Institute of Communication and Computer Systems, School of Electrical and Computer Engineering, National Technical University of Athens, 10682 Athens, Greece.
Cancers (Basel). 2023 Mar 24;15(7):1961. doi: 10.3390/cancers15071961.
The current study aimed to track the trajectory of quality of life (QoL) among subgroups of women with breast cancer in the first 12 months post-diagnosis. We also aimed to assess the number and portion of women classified into each distinct trajectory and the sociodemographic, clinical, and psychosocial factors associated with these trajectories. The international sample included 699 participants who were recruited soon after being diagnosed with breast cancer as part of the BOUNCE Project. QoL was assessed at baseline and after 3, 6, 9, and 12 months, and we used Latent Class Growth Analysis to identify trajectory subgroups. Sociodemographic, clinical, and psychosocial factors at baseline were used to predict latent class membership. Four distinct QoL trajectories were identified in the first 12 months after a breast cancer diagnosis: medium and stable (26% of participants); medium and improving (47%); high and improving (18%); and low and stable (9%). Thus, most women experienced improvements in QoL during the first year post-diagnosis. However, approximately one-third of women experienced consistently low-to-medium QoL. Cancer stage was the only variable which was related to the QoL trajectory in the multivariate analysis. Early interventions which specifically target women who are at risk of ongoing low QoL are needed.
本研究旨在追踪乳腺癌女性亚组在确诊后的前12个月内的生活质量（QoL）轨迹。我们还旨在评估被归类到每个不同轨迹的女性数量和比例，以及与这些轨迹相关的社会人口学、临床和心理社会因素。国际样本包括699名参与者，他们在被诊断为乳腺癌后不久就被招募进来，作为BOUNCE项目的一部分。在基线以及3、6、9和12个月后对生活质量进行评估，我们使用潜在类别增长分析来识别轨迹亚组。基线时的社会人口学、临床和心理社会因素被用于预测潜在类别归属。在乳腺癌诊断后的前12个月内识别出四种不同的生活质量轨迹：中等且稳定（26%的参与者）；中等且改善（47%）；高且改善（18%）；以及低且稳定（9%）。因此，大多数女性在确诊后的第一年生活质量有所改善。然而，约三分之一的女性生活质量持续处于低至中等水平。在多变量分析中，癌症分期是唯一与生活质量轨迹相关的变量。需要针对有持续低生活质量风险的女性进行早期干预。
