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Aims: To evaluate the sleep quality of patients with atrial fibrillation and its influencing factors, and explore whether illness perception mediates the relationship between family function and sleep quality.
Design: Cross-sectional survey conducted from November 2020 to November 2021.
Methods: A total of 191 participants validly completed the Pittsburgh Sleep Quality Index, the Family APGAR Index and the Brief Illness Perception Questionnaire. Data were analysed using descriptive statistics, independent samples t-tests, one-way ANOVA, Pearson correlation analysis and multiple linear regression analysis. Bootstrapping was used to detect the mediating role of illness perception.
Results: Patients with atrial fibrillation reported poor sleep quality, good family function and a moderate level of illness perception. The better the family function, the lower the level of illness perception and the better sleep quality in patients with atrial fibrillation. Patients with commercial medical insurance had lower levels of sleep quality relative to self-financed patients. EHRA III and EHRA IV patients had worse sleep quality than EHRA II patients. Illness perception played a significant mediating role in the relationship between family function and sleep quality.
Conclusions: Patients with atrial fibrillation have poorer sleep quality, and the type of medical insurance and EHRA score are independent indicators related to their sleep quality. Future health education and interventions need to focus on strengthening and improving the emotional support of family members in order to improve family function and reduce illness perception, thereby improving sleep quality of patients with atrial fibrillation.
Impact: This study provides further evidence that nurses need to enhance their awareness and provide ongoing education to better identify patients with AF who have family dysfunction and perceived high levels of illness threat perceptions, as these factors negatively impact sleep quality.
Reporting Method: This study was reported in strict compliance with the strengthening the reporting of observational studies in epidemiology (STROBE) guideline.
Patient Or Public Contribution: No patient or public contribution.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11584352 | PMC |
http://dx.doi.org/10.1002/nop2.70085 | DOI Listing |
Acta Neurol Belg
September 2025
Neuroscience Research Australia, University of New South Wales, Sydney, Australia.
Objectives: Patients diagnosed with amyotrophic lateral sclerosis (ALS) typically describe symptoms of fatigue. Despite this frequency, the underlying mechanisms of fatigue are poorly understood, and are likely multifactorial. To help clarify mechanisms, the present systematic review was undertaken to determine the risk factors related to fatigue in ALS.
View Article and Find Full Text PDFJ Addict Nurs
September 2025
Annika Norell, PhD, School of Behavioral, Social and Legal Sciences, Örebro University, Örebro, Sweden; Faculty of Health Sciences, Kristianstad University, Kristianstad, Sweden.
Background: Although there is substantial evidence of the negative impact of caffeine use on sleep quality, few studies focus specifically on adolescents' patterns of use. This study aimed to identify patterns of caffeine use among adolescents and analyze their association with sleep quality.
Method: A cross-sectional study was conducted in southern Sweden including 1,404 adolescents aged 15-17 (56.
Clin Cardiol
September 2025
Himachal Heart Institute, Mandi, Himachal Pradesh, India.
Endocr Connect
September 2025
Centre for Higher Education Development, University of Cape Town.
Background: Cortisol and growth hormone are important for sleep regulation and cognition. Sleep is critical for cognitive functioning, and memory consolidation. Patients with pituitary disease experience hormonal dysregulation, impaired sleep quality, and cognitive dysfunction.
View Article and Find Full Text PDFPsychol Res Behav Manag
September 2025
Department of Internal Medicine, Shaoxing Second Hospital, Shaoxing City, Zhejiang Province, People's Republic of China.
Background: Sleep quality has emerged as a critical public health concern, yet our understanding of how multiple determinants interact to influence sleep outcomes remains limited. This study employed partial correlation network analysis to examine the hierarchical structure of sleep quality determinants among Chinese adults.
Methods: We investigated the interrelationships among nine key factors: daily activity rhythm, social interaction frequency, work-life balance, light exposure, physical activity level, time control perception, shift work, weekend catch-up sleep, and sleep quality using the extended Bayesian Information Criterion (EBIC) glasso model.