雷 蕾,岳朝丽,陈 丹,顾招芹,汤雅洁,潘志娟,刘扣英.肺癌患者营养不良风险与癌因性疲乏和生活质量的相关性研究[J].现代生物医学进展英文版,2020,(24):4780-4784. |
肺癌患者营养不良风险与癌因性疲乏和生活质量的相关性研究 |
Correlation between Malnutrition Risk and Cancer-Related Fatigue and Quality of Life in Lung Cancer Patients |
Received:July 07, 2020 Revised:July 31, 2020 |
DOI:10.13241/j.cnki.pmb.2020.24.041 |
中文关键词: 肺癌 营养不良风险 癌因性疲乏 生活质量 相关性 |
英文关键词: Lung cancer Malnutrition risk Cancer-related fatigue Quality of life Correlation |
基金项目:国家自然科学基金项目(81800090) |
|
Hits: 531 |
Download times: 340 |
中文摘要: |
摘要 目的:探讨肺癌患者营养不良风险与癌因性疲乏和生活质量的相关性,并分析营养不良风险的影响因素。方法:选取2019年7月~2020年7月期间我院收治的肺癌患者98例作为研究对象,采用营养风险筛查表2002(NRS-2002)、癌因性疲乏量表(CRF)、生活质量评定量表(QLQ-C30)评估所有研究对象的营养状况、癌因性疲乏程度及生活质量。采用Pearson相关性分析NRS-2002评分与CRF评分、QLQ-C30评分的相关性,采用单因素及多因素Logistic回归分析肺癌患者营养不良风险的影响因素。结果:24例无营养不良风险(NRS-2002评分0~2分)的患者纳为无营养不良风险组,74例有营养不良风险(NRS-2002评分3~7分)的患者纳为营养不良风险组,纳入对象营养不良风险率为75.51%(74/98)。营养不良风险组的情感疲乏、躯体疲乏、认知疲乏、QLQ-C30评分均高于无营养不良风险组(P<0.05)。Pearson相关性分析结果显示,NRS-2002评分与CRF评分和QLQ-C30评分均呈正相关(P<0.05)。由单因素分析结果可知,无营养不良风险组和营养不良风险组在家庭月收入、年龄、临床分期、营养管理、居住地方面对比差异均有统计学意义(P<0.05)。多因素Logistic回归分析结果显示:临床分期为Ⅳ期、家庭月收入<5000元、年龄>40岁、无营养管理、居住地为农村均是肺癌患者营养不良风险的危险因素(P<0.05)。结论:肺癌患者营养不良风险较高,其营养不良风险与癌因性疲乏和生活质量均具有一定相关性,且有关营养不良风险的影响因素较多,临床工作中应针对这些因素制定相关的干预措施。 |
英文摘要: |
ABSTRACT Objective: To investigate the correlation between malnutrition risk and cancer-related fatigue and quality of life in patients with lung cancer, and to analyze the influencing factors of malnutrition risk. Methods: 98 patients with lung cancer who were admitted to our hospital from July 2019 to July 2020 were selected as the research objects. The nutritional status, cancer-related fatigue and quality of life of all subjects were evaluated by nutritional risk screening scale 2002 (NRS-2002), cancer-related fatigue scale (CRF) and quality of life assessment scale (QLQ-C30). Pearson correlation analysis was used to analyze the correlation between NRS-2002 score, CRF score and QLQ-C30 score. Single factor and multivariate logistic regression were used to analyze the risk factors of malnutrition in lung cancer patients. Results: 24 patients without malnutrition risk (NRS-2002 score 0~2) were included in the non malnutrition risk group, and 74 patients with malnutrition risk (NRS-2002 score 3~7) were included in the malnutrition risk group. The malnutrition risk rate of the subjects was 75.51% (74/98). The scores of emotional fatigue, physical fatigue, cognitive fatigue and QLQ-C30 in malnutrition risk group were higher than those in non malnutrition risk group (P<0.05). Pearson correlation analysis showed that NRS-2002 score was positively correlated with CRF score and QLQ-C30 score (P<0.05). The results of single factor analysis showed that there were significant differences in family monthly income, age, clinical stage, nutrition management and living place between the non malnutrition risk group and the malnutrition risk group (P<0.05). Multivariate logistic regression analysis showed that the risk factors of malnutrition in lung cancer patients were clinical stage Ⅳ, family monthly income < 5000 yuan, age > 40 years old, no nutrition management, residence in rural areas (P<0.05). Conclusion: The risk of malnutrition in patients with lung cancer is high, and the risk of malnutrition is related to cancer-related fatigue and quality of life, and there are many factors influencing the risk of malnutrition. Therefore, we should formulate relevant intervention measures for these factors in clinical work. |
View Full Text
View/Add Comment Download reader |
Close |