LAUSR

OBJECTIVE The purpose of this study was to explore the prevalence, severity, and factors associated with multidimensional fatigue in Chinese patients with newly diagnosed meningiomas. METHODS 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. RESULTS 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. CONCLUSIONS 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.