International Journal of General Medicine (Feb 2024)

Cancer-Related Fatigue and Its Influencing Factors Among Colorectal Cancer Patients: A Generalized Linear Modeling Approach

  • Wang S,
  • Song Y,
  • Zhang H,
  • Song J,
  • Guo X,
  • Jiang X

Journal volume & issue
Vol. Volume 17
pp. 579 – 595

Abstract

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Song Wang,1 Yuanyuan Song,2 Huaguo Zhang,3 Jing Song,4 Xiaoyan Guo,5 Xiaolian Jiang1 1West China School of Nursing, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 2Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China; 3Department of Nursing, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China; 4School of Stomatology, Bengbu Medical University, Bengbu, Anhui, People’s Republic of China; 5Department of Pharmacy, Dezhou Municipal Hospital, Dezhou, Shandong, People’s Republic of ChinaCorrespondence: Xiaolian Jiang, West China School of Nursing, West China Hospital, Sichuan University, No. 37, Guoxue Lane, Wuhou District, Chengdu, Sichuan, 610041, People’s Republic of China, Email [email protected]; [email protected]: This study aimed to improve cancer-related fatigue (CRF) and health outcomes of colorectal cancer patients by understanding the status quo of CRF, exploring the relations of coping, anxiety symptoms, depressive symptoms, body image perception and CRF, and also identifying the factors affecting CRF based on a generalized linear modeling approach.Patients and Methods: An exploratory cross-sectional study was conducted on 370 colorectal cancer patients at two hospitals in Anhui Province, China, from July 2020 to February 2021. The data were collected by using general information questionnaire, cancer fatigue scale, simplified coping style questionnaire, generalized anxiety disorder-7 scale, patient health questionnaire-9, and body image scale. Descriptive statistics, t-tests, one-way analysis of variance, Pearson correlation analyses, and generalized linear model analyses were applied to analyze the data.Results: The average CRF score of the patients was 21.612 (SD=6.160), with a prevalence rate of 69.4% for clinically relevant fatigue. The generalized linear model revealed that: In step 1, gender (female) (B=1.799, Waldχ2=7.506, p=0.006), per capita monthly income (1001– 3000 RMB) (B=− 1.673, Waldχ2=5.536, p=0.019) and treatment modalities (chemotherapy+others) (B=2.425, Waldχ2=8.211, p=0.004) were related to CRF. In step 2, depressive symptoms (B=1.223, Waldχ2=129.019, p< 0.001) and negative coping strategies (B=0.215, Waldχ2=11.347, p=0.001) exhibited significant positive correlations with CRF, positive coping strategies (B=− 0.319, Waldχ2=59.175, p< 0.001) showed significant negative correlations with CRF; While anxiety symptoms (B=0.162, Waldχ2=1.840, p=0.175) and body image perception (B=0.013, Waldχ2=0.048, p=0.826) had no correlations with CRF.Conclusion: The prevalence of CRF was relatively high among colorectal cancer patients. Coping and depressive symptoms were the modifiable influencing factors of CRF. Tailored interventions dedicated to promoting positive coping behavior, diminishing negative coping behavior and reducing depressive symptoms may improve the CRF of patients with colorectal cancer. Healthcare providers working with these patients should receive corresponding education and training in these complementary treatments. Additionally, when developing non-pharmacological interventions, appropriate consideration of the patients’ gender, income condition and the type of anticancer treatment is also necessary.Keywords: colorectal cancer, cancer-related fatigue, coping style, anxiety, depression, body image distress

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