Dynamic Changes and Influencing Factors for the Quality of Life in Nursing Care after Lung Cancer Resection

Author:

Hu Shuzhen12,Fang Aihong12ORCID

Affiliation:

1. Department of Cardiothoracic Surgery, Chun’an First People’s Hospital, Hangzhou 311700, Zhejiang Province, China

2. Department of Surgery, Chun’an Maternity and Child Healthcare Hospital, Hangzhou 311700, Zhejiang Province, China

Abstract

To investigate the dynamic changes and influencing factors for the quality of life in nursing care in patients with lung cancer after resection. Totally, 136 patients undergoing lung cancer resection in our hospital from January 2019 to January 2022 were prospectively enrolled as subjects. The quality of life was measured before and 1 and 2 weeks and 1, 3, 6, and 12 months after the operation to analyze the dynamic changes in the quality of life in nursing care. Clinical data of patients were collected at the time of discharge. The patients were divided into high-quality and low-quality groups according to the median level of quality of life in nursing care at the final follow-up. The logistic regression equation was applied to analyze the influencing factors for the quality of life in nursing care after lung cancer resection. Of 136 patients receiving lung cancer resection, 32 were lost to follow-up until the final follow-up, so 104 patients were finally included. According to the median level of quality of life in nursing care at the final follow-up, the patients were divided into high-quality and low-quality groups (n = 52 per group). The quality of life in nursing care first decreased, then increased, and then stabilized after lung cancer resection. The comparison of clinical data between the two groups exhibited that albumin level was higher in the high-quality group than that in the control group. The age, proportion of living alone, S-AI score, and FoP-Q-SF score were lower in the high-quality group than those in the low-quality group ( P < 0.05 ). Univariate logistic regression analysis demonstrated that high albumin (OR = 0.884) was a protective factor for the quality of life in nursing care after lung cancer resection ( P < 0.05 ). Living alone (OR = 1.333), high S-AI score (OR = 1.211), high FoP-Q-SF score (OR = 1.221), and advanced age (OR = 1.209) were the risk factors for the quality of life in nursing care after lung cancer resection ( P < 0.05 ). Multivariate logistic regression analysis demonstrated that high albumin (OR = 0.861) was a protective factor for the quality of life in nursing care after lung cancer resection ( P < 0.05 ). Living alone (OR = 1.144), high S-AI score (OR = 1.170), high FoP-Q-SF score (OR = 1.161), and advanced age (OR = 1.181) were the risk factors for the quality of life after lung cancer resection ( P < 0.05 ). The quality of life in nursing care first decreased, then increased, and then stabilized after lung cancer resection. Albumin, age, living alone, and S-AI and FoP-Q-SF scores were the influencing factors for the quality of life in nursing care after lung cancer resection. In the nursing care process after lung cancer resection, we should focus on elderly patients living alone who are affected by anxiety and fear of recurrence to improve the quality of life of these patients.

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging

Reference21 articles.

1. Regression analysis of influencing factors on postoperative quality of life in patients with lung cancer;Z. Zhang;Zhong Guo Wei Sheng Tong Ji,2020

2. A longitudinal study on the correlations between symptom clusters and quality of life in patients with lung cancer during perioperation;J. J. Li;Zhonghua Hu Li Za Zhi,2020

3. Effect of continuous nursing on quality of life and treatment compliance of discharged patients with lung cancer after operation;X. H. Zhong;Chongqing Yixue,2020

4. Correlation between mental health status and quality of life in elderly patients with lung cancer;T. S. Jin;Zhongguo Laonianxue Zazhi,2020

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