Longitudinal study on the trajectory and influencing factors of cancer-related fatigue in patients with lung cancer during perioperative period
10.3760/cma.j.cn211501-20220104-00019
- VernacularTitle:肺癌患者围手术期癌因性疲乏轨迹及影响因素的纵向研究
- Author:
Wen SHI
1
;
Liping CHEN
;
Shuxiang ZHANG
;
Jinjun ZHANG
Author Information
1. 山东第一医科大学（山东省医学科学院）护理学院，泰安 271016
- Keywords:
Lung neoplasms;
Cancer-related fatigue;
Influence factors;
Latent class growth model;
Longitudinal study
- From:
Chinese Journal of Practical Nursing
2022;38(28):2184-2190
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the changing track of cancer-related fatigue in patients with lung cancer during perioperative period and analyze its influencing factors.Methods:From December 2020 to May 2021, 162 eligible patients with lung cancer were selected in the First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital by convenient sampling method. Mental resilience and social support were investigated before operation (T0);and cancer-related fatigue was investigated before operation (T0),3 days after operation (T1), 1 week after operation (T2), 2 weeks after operation (T3) and 1 month after operation (T4), and Latent Class Growth Model was used to identify the track categories. Logistic regression analysis was used to analyze the influencing factors.Results:Three cancer-related fatigue tracks were fitted in this study, which were no fatigue group (31.7%), increased fatigue group (36.0%) and sustained fatigue group (32.3%). Univariate analysis showed that smoking history ( χ2=14.83, P<0.05), BMI ( χ2=29.67, P<0.05), hemoglobin count ( F=4.57, P<0.05), mental resilience ( F=35.53, P<0.05), social support ( F=47.53, P<0.05) were related to the track category of cancer-related fatigue. Logistic regression analysis showed that smoking history, over weight/obesity, resilience and social support were the predictors of cancer-related fatigue locus ( P<0.05). Conclusions:Perioperative cancer-related fatigue of patients with lung cancer has different change trajectories, patients with higher BMI and lower resilience are more likely to have a tendency of persistent fatigue. Patients with smoking history and lower social support are more likely to have an upward trend of fatigue. For this kind of lung cancer patients, medical staff should take timely and effective intervention measures to improve their cancer-related fatigue.
