临床荟萃

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甘肃地区肺癌患者癌因性疲乏影响因素调查

  

  1. 1.甘肃省第二人民医院  a.介入肿瘤科; b. 血液科;  c.整形美容科,甘肃 兰州  730000;  2.兰州大学第一临床医学院,甘肃 兰州  730000
  • 出版日期:2018-04-05 发布日期:2018-04-24
  • 通讯作者: 通信作者:米登海, Email:midh2014@163.com
  • 基金资助:
    甘肃省卫生行业科研计划项目(GSWSKY-2014-14)

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:2018-04-24
  • Contact: Corresponding author: Mi Denghai, Email: midh2014@163.com

摘要: 目的  探索癌因性疲乏(cancer related fatigue,CRF)发生的影响因素。方法  采用问卷调查的方法,依照国际疾病分类标准第10版癌因性疲乏的定义,对符合纳入/排除标准的肺癌患者进行分组,分析社会人口学特征、临床指标及心理因素对CRF的影响。分析癌因性疲乏的独立影响因素。结果  最终纳入肺癌患者242例,疲乏组162人,非疲乏组80人。单因素分析显示,性别、年龄、血红蛋白水平、白细胞计数、家庭月收入、焦虑情绪、抑郁情绪均与癌因性疲乏有关。经多元Logistic回归分析后,年龄、性别、家庭月收入、白细胞计数、血红蛋白水平、焦虑情绪为癌因性疲乏的独立影响因素。结论  年龄、性别、焦虑情绪是癌因性疲乏的危险因素,家庭月收入、血红蛋白水平、白细胞计数是其保护性因素。

关键词: 癌因性疲乏, 影响因素, 肺癌, 问卷调查

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