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Trajectory patterns and predictors of cancer-related fatigue in postoperative lung cancer patients receiving chemotherapy.
Yuan, Yaqing; Liu, Cuiping; Shi, Wen; Wang, Ying; Chen, Liping.
Afiliación
  • Yuan Y; School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
  • Liu C; School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
  • Shi W; Department of Vascular Surgery, Shandong First Medical University Affiliated Provincial Hospital, Jinan, China.
  • Wang Y; School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China.
  • Chen L; School of Nursing, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, China. pingpingde@126.com.
Support Care Cancer ; 32(8): 525, 2024 Jul 18.
Article en En | MEDLINE | ID: mdl-39023748
ABSTRACT

PURPOSE:

Cancer-related fatigue (CRF) is a chronic symptom that can affect the overall functioning of lung cancer patients throughout the course of the disease. However, there is limited research on the trajectory and predictors of CRF specifically in lung cancer patients. Furthermore, few studies have investigated the predictive role of positive psychological and social factors in relation to CRF. This study aimed to explore the trajectory of CRF and its predictors in postoperative chemotherapy patients with lung cancer.

METHODS:

A total of 202 lung cancer patients who underwent surgery and received adjuvant chemotherapy were recruited for this study. Baseline questionnaires were completed, covering sociodemographic information, disease details, CRF levels, personality traits, psychological resilience, and social support. CRF was assessed at three time points first chemotherapy (T1), 3 months after chemotherapy (T2), and 6 months after chemotherapy (T3). Latent class growth modeling (LCGM) was used to identify distinct developmental trajectories of CRF. Logistic regression analysis was employed to examine predictors of CRF within different patient groups.

RESULTS:

The LCGM analysis revealed three distinct CRF trajectories persistent high fatigue group (30.7%), rising fatigue group (30.7%), and no fatigue group (38.6%). Cancer stage (OR = 7.563, 95% CI = 2.468-23.182, P < 0.001), melancholic personality (OR = 6.901, 95% CI = 1.261-37.764, P = 0.026), and high psychological resilience (OR = 0.171, 95% CI = 0.041-0.706, P = 0.015) were associated with the CRF trajectory. On the other hand, sanguine personality (OR = 0.254, 95% CI = 0.071-0.916, P = 0.036) and high social support (OR = 0.168, 95% CI = 0.045-0.627, P = 0.008) were associated with the increasing fatigue trajectory.

CONCLUSIONS:

This study demonstrated that 60% of lung cancer patients experienced persistent fatigue throughout the assessment period. Moreover, it confirmed the heterogeneity of CRF trajectories among lung cancer patients. The severity of CRF was found to be higher in patients with advanced clinical stages, depressive personality traits, and lower psychological resilience.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apoyo Social / Fatiga / Neoplasias Pulmonares Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Apoyo Social / Fatiga / Neoplasias Pulmonares Límite: Adult / Aged / Female / Humans / Male / Middle aged Idioma: En Revista: Support Care Cancer Asunto de la revista: NEOPLASIAS / SERVICOS DE SAUDE Año: 2024 Tipo del documento: Article País de afiliación: China
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