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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. [ABSTRACT FROM AUTHOR]

The Gout Impact Scale (GIS) is a disease-specific health-related quality of life (HR-QoL) measurement for patients with gout. This study aimed to investigate the quality of life in Chinese patients with gout and potential risk factors for poorer HR-QoL by GIS. Adults with gout from February 2017 to February 2019 were invited to complete a questionnaire containing the GIS, social demographic characteristics, clinical information and gout-specific questions. Pearson/Spearman correlation and linear regression were used to analyze the data. A total of 413 patients were included in the analysis (mean age, 51.85 years; 96.4% male). The mean (SD) score of GIS total was 56.79 ± 15.45. Worse gout-specific HR-QoL was associated with anxiety (p <.05), depression (p <.05) and fatigue (p <.05). The effectiveness and global satisfaction of Treatment Satisfaction Questionnaire for Medication (TSQM) were negatively related to each dimension of GIS. Age (B = −0.251, p =.013), fatigue (B = 1.850, p <.001) and depression (B = 9.068, p =.042) were independent predictors of GIS total score. Gout-specific HR-QoL is impaired by social demographic and clinical characteristics, highlighting the importance of psychological factors (fatigue and depression) and patient-reported outcomes (patients' satisfaction and confidence in gout treatment). These findings suggest that more studies should focus on disease-specific HR-QoL. [ABSTRACT FROM AUTHOR]