Department of Nursing, Nantong Health College of Jiangsu Province, Nantong, People's Republic of China.
Department of Neurosurgery, Affiliated Hospital of Nantong University, Nantong University, Nantong, People's Republic of China.
Neuropsychol Rehabil. 2023 Oct;33(9):1564-1581. doi: 10.1080/09602011.2022.2115518. Epub 2022 Sep 3.
The purpose of this study was to explore the prevalence, severity, and factors associated with multidimensional fatigue in Chinese patients with newly diagnosed meningiomas.
This cross-sectional study included 120 Chinese meningioma patients. Data were collected before surgery, including demographic, clinical, psychological, and sleep characteristics, as well as fatigue scores based on completion of the Multidimensional Fatigue Inventory (MFI-20). Mann-Whitney U tests, Kruskal-Wallis H tests, Spearman correlation and multiple linear regression were used to analyze the data.
The results showed there was a high prevalence of severe fatigue for each dimension: general fatigue (33.3%), physical fatigue (27.5%), reduced activity (28.3%), reduced motivation (12.5%), mental fatigue (11.7%), and total fatigue (23.3%). Headache and anxiety were found to be associated with general fatigue. Depression was related with physical fatigue. The Karnofsky Performance Status (KPS) score and depression were associated with reduced activity. Depression and the Epworth Sleepiness Scale (ESS) score were correlated with reduced motivation, while the KPS score and anxiety were associated with mental fatigue. Importantly, comorbidity, the KPS score, headache, depression, sleep disturbances, and the ESS score remained strong correlates of total fatigue.
Our findings indicate that newly diagnosed meningioma patients are affected by multidimensional fatigue. For patients with risk factors of fatigue, targeted interventions are advised to decrease fatigue and improve HRQoL.
本研究旨在探讨中国新诊断脑膜瘤患者多维疲劳的流行率、严重程度及相关因素。
这是一项横断面研究，纳入了 120 例中国脑膜瘤患者。数据采集于手术前，包括人口统计学、临床、心理和睡眠特征，以及基于多维疲劳量表（MFI-20）完成的疲劳评分。采用 Mann-Whitney U 检验、Kruskal-Wallis H 检验、Spearman 相关和多元线性回归分析数据。
结果显示，每个维度的严重疲劳发生率均较高：总体疲劳（33.3%）、躯体疲劳（27.5%）、活动减少（28.3%）、动机降低（12.5%）、脑力疲劳（11.7%）和总疲劳（23.3%）。头痛和焦虑与总体疲劳有关。抑郁与躯体疲劳有关。卡氏功能状态评分（KPS）和抑郁与活动减少有关。抑郁和 Epworth 嗜睡量表（ESS）评分与动机降低有关，而 KPS 评分和焦虑与脑力疲劳有关。重要的是，合并症、KPS 评分、头痛、抑郁、睡眠障碍和 ESS 评分仍然是总疲劳的强烈相关因素。
我们的研究结果表明，新诊断的脑膜瘤患者受到多维疲劳的影响。对于有疲劳风险因素的患者，建议进行有针对性的干预，以减轻疲劳，提高 HRQoL。
