Effects of Symptom Burdens on the Quality of Life in Patients with Lung Cancer

Author:

Chiou Ling-Jan1,Lin Yun-Yen2,Lang Hui-Chu3

Affiliation:

1. Asian University

2. Taipei Medical University-Shuang Ho Hospital

3. National Yang Ming Chiao Tung University

Abstract

Abstract Purpose:This study aimed to examine the symptom burden conditions and quality of life in patients with lung cancer. Methods: A structured questionnaire was utilized to collect data from patients with lung cancer at a medical center. Demographic information of the patients was obtained, and their symptom burden and quality of life (QOL) were assessed using the QLQ-C30 and QLQ-LC13 instruments. Stepwise multiple regression analysis was employed to estimate the relationship between lung cancer-related symptom burden and quality of life. Results: A total of 159 patients completed the questionnaire. The mean age of the patients was 63.12±11.4 years, with 64.8% of them being female. The Global Quality of Life score on the QLQ-C30 was 67.87±22.24. The top five lung cancer-related symptoms reported were insomnia, dyspnea, fatigue (from the QLQ-C30), and coughing and dyspnea (from the QLQ-LC13). The multiple regression analysis revealed that appetite loss was significantly associated with global quality of life (β = -0.32; adjusted R2: 27%) and cognitive function (β = -0.15; adjusted R2: 11%). Fatigue was associated with role function (β = -0.35; adjusted R2: 43%), emotional function (β = -0.26; adjusted R2: 9%), and social function (β= -0.26; adjusted R2: 27%). Dyspnea was associated with physical function (β= -0.45; adjusted R2: 42%). Conclusion: The main contributors to symptom burdens and reduced quality of life in lung cancer patients were appetite loss, fatigue, and dyspnea. Alleviating these symptoms can potentially improve the quality of life and overall survival outcomes for patients with lung cancer.

Publisher

Research Square Platform LLC

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3