Factors Of Fatigue In Patients Research Articles

Cross-sectional survey to determine fatigue in patients with systemic lupus erythematosus.

Fatigue is a prevalent symptom among individuals with active systemic lupus erythematosus (SLE). We aimed to investigate the status quo and influencing factors of fatigue in patients with SLE, to provide insights to the clinical SLE treatment and care. We conducted a longitudinal survey on the fatigue of active SLE patients from June 2022 to November 2023 in our hospital. Fatigue severity scale (FSS), Self-rating Anxiety Scale (SAS) and Self-Rating Depression Scale (SDS) were used for data collection. Pearson correlation and multiple stepwise regression analysis were conducted to analyze the relevant factors affecting the fatigue level of patients with SLE. A total of 212 active SLE patients were included, the incidence of fatigue in active SLE patients was 55.66%. There were statistical differences in the fatigue score between SLE patients with different age and course of SLE (all p < 0.05). Fatigue was positively correlated with anxiety (r = 0.559) and depression (r = 0.591) in patients with SLE (all p < 0.05). Multiple stepwise regression analysis indicated that age, course of SLE, anxiety and depression were the influencing factors of fatigue in SLE patients (all p < 0.05). Patients with SLE exhibit a significant degree of fatigue, which varies with respect to age, disease duration, and the presence of comorbid anxiety and depression. It is imperative that healthcare providers closely monitor the fatigue levels in this patient population and implement targeted interventions to mitigate the impact of fatigue on the quality of life and overall well-being of individuals with SLE.

Fatigue, sleep and physical activity in postoperative patients with pituitary adenomas: A survey.

The condition and correlation of fatigue, sleep and physical activity in postoperative patients with pituitary adenomas remain unclear. This survey aimed to evaluate the current status and influencing factors of fatigue, sleep and physical activity in postoperative patients with pituitary adenomas. Patients undergoing pituitary adenoma resection in two tertiary hospitals from November 2019 to November 2021 were included. The general data questionnaire, Multidimensional Fatigue Inventory (MFI-20), Pittsburgh Sleep Quality Index (PSQI) and international physical activity questionnaire were used for data analysis. In total, 184 patients with pituitary adenomas were included. The postoperative patients with pituitary adenomas had a high level of fatigue. In total, 34 (18.5%) patients had low level of physical activity, 76(41.3%) patients had medium level of physical activity and 74 (40.2%) had high level of physical activity. Postoperative time, PSQI, physical activity level and gender were the influencing factors of fatigue in patients with pituitary adenomas (all P < 0.05). Postoperative patients with pituitary adenomas have a higher level of fatigue, and it is related to reduced sleep quality and activity. Relevant nursing measures should be taken according to the influencing factors of fatigue to reduce the fatigue of postoperative patients with pituitary adenomas.

Current status and influencing factors of fatigue in patients with rheumatoid arthritis: A cross-sectional study in China.

This study aimed to explore the level and influencing factors of fatigue in patients with rheumatoid arthritis. This cross-sectional study was conducted in 243 patients with rheumatoid arthritis from April 2016 to March 2017. The Bristol Rheumatoid Arthritis Fatigue Multi-Dimensional Questionnaire, Arthritis Self-Efficacy Scale-8, Visual Analogue Scale for pain, physical function subscale of Short Form 36-Item Health Survey, Hospital Anxiety and Depression Scale, Perceived Social Support Scale, Pittsburgh Sleep Quality Index and a self-designed demographic and disease-related information questionnaire were used to collect the data. Stepwise linear multiple regression was used to clarify the impact of statistically significant variables (P < 0.05) in the independent sample t test, one-way ANOVA and correlation analysis on the level of fatigue. Stepwise linear multiple regression analyses showed that disease activity, self-efficacy, physical function, pain, depression, duration of morning stiffness and anxiety were major factors influencing fatigue in patients with rheumatoid arthritis, which explained 59.5% of the total variance. Our study demonstrated a moderate level of fatigue in Chinese patients with rheumatoid arthritis. In clinical practice, nurses should explore individualized intervention programmes based on related predictors of fatigue to help patients relieve fatigue.

The prevalence and related factors of fatigue in patients with COPD: a systematic review.

Fatigue is a distressing symptom in patients with COPD. Little is known about the factors that contribute to fatigue in COPD. This review summarises existing knowledge on the prevalence of fatigue, factors related to fatigue and the instruments most commonly used to assess fatigue in COPD. Pubmed, PsycINFO, EMBASE, Cochrane and CINAHL databases were searched for studies from inception up to 7 January 2020 using the medical subject headings "COPD" and "Fatigue". Studies were reviewed in accordance with PRISMA guidelines. 196 studies were evaluated. The prevalence of fatigue ranged from 17-95%. Age (r=-0.23 to r=0.27), sex (r=0.11), marital status (r=-0.096), dyspnoea (r=0.13 to r=0.78), forced expiatory volume in 1 s % predicted (r=-0.55 to r=-0.076), number of exacerbations (r=0.27 to r=0.38), number of comorbidities (r=0.10), number of medications (r=0.35), anxiety (r=0.36 to r=0.61), depression (r=0.41 to r=0.66), muscle strength (r=-0.78 to r=-0.45), functional capacity (r=-0.77 to r=-0.14) and quality of life (r=0.48 to r=0.77) showed significant associations with fatigue. Fatigue is a prevalent symptom in patients with COPD. Multiple physical and psychological factors seem to be associated with fatigue. Future studies are needed to evaluate these underlying factors in integral analyses in samples of patients with COPD.

Relationship between fatigue symptoms and subjective and objective indicators in hemodialysis patients

The purpose of the study was to investigate the major factors affecting fatigue symptoms and to examine the relationships between fatigue symptoms and subjective and objective indicators in patients on hemodialysis (HD). Patients on HD who met the inclusion criteria were chosen from two grade A tertiary general hospitals by convenience sampling and cross-sectional survey methods. A total of 511 patients were included in the study. The morbidity rate of fatigue in patients on HD was 61.6%, and the median fatigue level was 3.91. Fatigue and subjective indicators showed a mild-moderate relationship (0.3 < all |r| < 0.6, all P < 0.001), whereas a weak correlation was found between fatigue and objective indicators (all |r| < 0.2, all P < 0.05). Multivariate analysis showed that subjective indicators, including employment, exercise time, appetite, the vitality of 36-item Short Form Health Survey, perceived social support, intrafamilial support, cramping, headache, chest tightness, and whole-body pain, as well objective indicator, such as serum intact parathyroid hormone levels, were the influence factors of fatigue in patients on HD. The prevalence of fatigue symptoms was high and the level of fatigue was moderate in patients on HD. Subjective and objective indicators can both affect fatigue symptoms in patients on HD.

Research progress of influencing factors of fatigue in patients with diabetes mellitus

Fatigue was prevalent among patients with diabetes mellitus with far-reaching implications. The study analyzed and summarized influencing factors of fatigue in patients with diabetes mellitus to provide references for the relevant researches in the future. Key words: Review; Diabetes mellitus; Fatigue; Influencing factors

Fatigue in patients receiving maintenance dialysis: a review of influence factors and interventions

Fatigue is commonly experienced in patients with advanced kidney disease and associated with poor outcomes. The purpose of this review was to discuss the prevalence, assessment methods and contributing factors of fatigue in patients with end-stage renal disease (ESRD), and also examined possible interventions to improve fatigue and concludes by defining some future research directions. Key words: Hemodialysis; Fatigue; Influencing factors; Interventions

Risk factors for fatigue in patients with epilepsy

Fatigue is highly prevalent in patients with epilepsy and has a major impact on quality of life, but little data is available on its effects and management in epilepsy. To identify the incidence and risk factors of fatigue in patients with epilepsy, 105 epilepsy patients (45 women and 60 men) were enrolled in our study. Demographic and clinical data were collected and psychological variables including fatigue, sleep quality, excess daytime sleepiness, anxiety, and depression were measured by Fatigue Severity Scale, Pittsburgh Sleep Quality Index, Epworth Sleepiness Scale, and Hospital Anxiety and Depression Scale, respectively. Of 105 patients, 29.5% exhibited fatigue (FSS score ⩾4). We found no correlation between the occurrence of fatigue and any of our demographic or clinical variables. Fatigue is correlated with low sleep quality, anxiety, and depression, but not with excess daytime sleepiness. Thus, we concluded that fatigue is highly prevalent in patients with epilepsy, and that low sleep quality, anxiety, and depression are significantly correlated with fatigue in epileptics, while excess daytime sleepiness not.

Factors related to fatigue and subgroups of fatigue in patients with end-stage renal disease

Fatigue is a major determinant for quality of life for patients undergoing chronic hemodialysis (HD) treatment. The aim of this study was to determine the severity and contributing factors of fatigue in patients under chronic HD treatment. 154 end-stage renal disease (ESRD) patients under HD treatment (92 M, 62 F, mean age 53 ± 15 y, mean duration of HD treatment 92 ± 65 months) were enrolled. Patients were given Piper's fatigue scale (PFS), Epworth sleepiness scale (ESS) and Beck depression test (BDT). Study participants were evaluated at the end of the HD session. ESS score was above 10 (indicating daytime sleepiness) in only 6 (3.9%) patients. The overall PFS scores were normal-to-mild in 25 (16.2%), moderate in 63 (40.9%) and severe in 66 (42.9%) patients. Total PFS score was correlated with presence of depression (OR: 2.48), employment status (OR: 2.25), calcium (OR: 2.64) and phosphate (OR: 3.70) concentration. PFS behavior score was correlated with employment status (OR: 2.29) and phosphate (OR: 1.96). PFS affective score was correlated with presence of depression (OR: 2.56), employment status (OR: 2.72) and creatinine (OR: 2.25) concentration. PFS sensory score was correlated with advanced age (OR: 1.95), presence of depression (OR: 2.90), albumin (nutritional status) (OR: 0.17), postdialysis serum urea level (OR: 2.37), hemoglobin (anemia) (OR: 0.21). Daytime sleepiness is not prevalent; however, fatigue is closely related to presence of depression, employment status, and calcium and phosphate levels.