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Multidimensional independent predictors of cancerrelated fatigue in lung cancer patients in Gansu


  1. 1.  a.Department of Invasive Technology and Oncology; b.Department of Hematology;  c.Department of
    Plastic Surgery, the Second Hospital of Gansu Province,  Lanzhou 730000, China;
    2. The First Clinical Medicine College of Lanzhou University,  Lanzhou 730000, China
  • Online:2018-04-05 Published:2018-04-05
  • Contact: Corresponding author: Mi Denghai, Email:

Abstract: Objective  To analyze factors in the occurrence of cancer related fatigue(CRF) from the sociodemographic characteristics, clinical indicators, psychological factors. Methods  In accordance with the definition of cancer related fatigue in international classification of diseases  (10th edition),we adopted questionnaire and grouped 242 lung cancer patients meeting inclusion and exclusion criteria in Gansu, and analyzed the impact of sociodemographic characteristics, clinical indicators and psychological factors on CRF.  The independent factors of cancerrelated fatigue  were  explored. Results  According to the inclusion/exclusion criteria, 242 valid questionnaires were completed,  and the final statistical cases were 162 in the fatigued group and 80 in the nonfatigued group. Univariate analysis showed that gender, age, hemoglobin level, white blood cell count, family income, anxiety and depression were all associated with CRF. After  multivariate  logistic  regression analysis,the aforementioned fatorsare all  independent factors for CRF. Conclusion  Age, gender and anxiety are risk factors of cancerrelated fatigue, while family income, hemoglobin level and white blood count are protective factors.

Key words: cancer related fatigue, predictors, lung cancer, questionnaire