Associations of Insomnia Symptoms With Cognition in Persons With Heart Failure

Gharzeddine, Rida; Yu, Gary; McCarthy, Margaret M.; Dickson, Victoria Vaughan

doi:10.1177/0193945920988840

Cited by 5 publications

(7 citation statements)

References 68 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The articles were collected from studies conducted in various countries. These countries include the United States (7) (Gary et al, 2019 ; Gharzeddine et al, 2021 ; Kuhn et al, 2022 ; Lee et al, 2019 ; Pandey et al, 2019 ; Pastva et al, 2021 ; Redwine et al, 2020 ), Netherlands (1) (Kuipers et al, 2022 ), Sweden (1) (Holm et al, 2020 ), Italy (1) (Vellone et al, 2020 ), Portugal (2) (Fino et al, 2020 ; Rigueira et al, 2021 ), Australia (2) (Aili et al, 2022 ; Huynh et al, 2021 ), Japan (4) (Saito et al, 2020 ; Seo et al, 2024 ; Sugie et al, 2018 ; Yamamoto et al, 2022 ), South Korea (2) (Kim et al, 2019 ; Seo et al, 2023 ), and China (1) (Miao et al, 2023 ). Seven articles were in inpatient settings (Holm et al, 2020 ; Huynh et al, 2021 ; Miao et al, 2023 ; Pandey et al, 2019 ; Pastva et al, 2021 ; Rigueira et al, 2021 ; Seo et al, 2024 ) and the rest were in outpatient settings.…”

Section: Resultsmentioning

confidence: 99%

Mapping cognitive function screening instruments for patients with heart failure: A scoping review

Arseda,

Pahria,

Kurniawan

2024

Belitung Nurs J

View full text Add to dashboard Cite

Background: Patients with heart failure (HF) often experience cognitive impairment, which negatively affects their quality of life. An effective screening tool is essential for nurses and healthcare professionals to assess cognitive function as part of HF management. Although many instruments exist, none are specifically designed for patients with HF. Objective: This study aimed to map the instruments for screening cognitive function in patients with HF. Design: A scoping review. Data Sources: Articles published between 2019 and 2023 were searched in PubMed, ScienceDirect, and Google Scholar, with the last search conducted on 27 January 2024. Review Methods: The review followed the scoping review framework by Arksey and O’Malley and adhered to PRISMA guidelines for scoping reviews. Results: Of the 21 articles meeting inclusion criteria, six cognitive function screening instruments were used across various cognitive domains, effectively identifying cognitive impairment in both inpatient and outpatient HF settings. The Montreal Cognitive Assessment (MoCA) was the most frequently used tool, covering a broad range of cognitive domains. MoCA showed high efficacy with a kappa coefficient of 0.82, Cronbach’s alpha reliability of 0.75, sensitivity of 90%, and specificity of 87%. Conclusion: Instruments like MoCA, Mini-Cog, and TICS-m show promise for assessing cognitive function in patients with HF, each with specific strengths and limitations. MoCA is notable for its comprehensive coverage despite being time-consuming and having language barriers. Further research is needed to revalidate and improve the existing instruments. It is crucial for nurses and healthcare professionals to integrate these tools into regular patient management, highlighting the need for continued research in their application.

show abstract

Section: Resultsmentioning

confidence: 99%

Mapping cognitive function screening instruments for patients with heart failure: A scoping review

Arseda,

Pahria,

Kurniawan

2024

Belitung Nurs J

View full text Add to dashboard Cite

show abstract

“…This analysis was part of a larger secondary data analysis of the health and retirement study (HRS) wave 2016 (Health and retirement study, 2019b). Details of the design and methods of the HRS study and the larger analysis were reported previously (Gharzeddine, 2020; Gharzeddine et al, 2021) and are summarized here for clarity.…”

Section: Methodsmentioning

confidence: 99%

Associations of insomnia symptoms with sociodemographic, clinical, and lifestyle factors in persons with HF: Health and retirement study

Gharzeddine

McCarthy

et al. 2022

Research in Nursing & Health

Self Cite

View full text Add to dashboard Cite

Insomnia symptoms are very common in persons with heart failure (HF). However, many of the correlates and predictors of insomnia symptoms in this population remain unclear. The purpose of this study is to investigate the associations of sociodemographic, clinical, and lifestyle factors with insomnia symptoms in persons with HF. A theoretical framework was adapted from the neurocognitive model of chronic insomnia to guide the study. Data from the health and retirement study were used for the analysis. Parametric and nonparametric bivariate and multivariate analyses were conducted to investigate these associations. Age, depressive symptoms, comorbidity, dyspnea, pain, and smoking had significant bivariate associations with all insomnia symptoms. Race, Hispanic ethnicity, marital status, household income, poverty, and physical activity were associated with difficulty initiating sleep (DIS) and early morning awakening (EMA). Female sex, education, and alcohol consumption had a significant bivariate association with DIS. Sleep-disordered breathing and body mass index were significantly associated with EMA. Multivariate analysis suggested that depressive symptoms, comorbidity, dyspnea, and pain had independent associations with each insomnia symptom. Age explained DIS and difficulty maintaining sleep, and significant interaction effects between age and physical activity on DIS and EMA were revealed. Results suggest that insomnia symptoms are associated with several sociodemographic, clinical, and lifestyle factors. Age below 70 years, depressive symptoms, comorbidity, dyspnea, and pain might be considered as a phenotype to identify persons with HF who are at increased risk for insomnia symptoms.

show abstract

“…Poor sleep quality is common among patients with HF and might be an independent predictor of cardiac events. According to previous studies, potential factors, including sociodemographic, illness‐related and psychological factors, may contribute to sleep disorders in HF (Gharzeddine et al, 2021). Wang et al (2010) showed that gender, perceived health, depressed mood and the number of complications are related to poor sleep quality.…”

Section: Introductionmentioning

confidence: 99%

“…Likewise, Chimluang et al (2017) reported that anxiety, depression, marital status, dyspnoea, dysfunctional beliefs and attitudes about sleep are related to poor sleep quality, rather than age, gender and sleep hygiene. In addition, many studies attributed sleep disturbance to the symptoms of poor control HF, such as pain and volume overload (Conley et al, 2019; Gharzeddine et al, 2021). However, previous findings are inconsistent.…”

Section: Introductionmentioning

confidence: 99%

Association between fear of progression and sleep quality in patients with chronic heart failure: A cross‐sectional study

Xiong

Qin

Gong

2023

Journal of Advanced Nursing

View full text Add to dashboard Cite

Aims This study aimed to measure sleep quality and its possible association with fear of progression (FOP) in patients with chronic heart failure (HF). Design A cross‐sectional study. Methods A total of 254 patients with chronic HF were recruited from two tertiary hospitals in China. The sociodemographic and clinical data of participants were collected using a general information questionnaire. The Pittsburgh Sleep Quality Index and Fear of Progression Questionnaire‐Short Form were used to evaluate sleep quality over 1 month and FOP. Pearson correlation and hierarchical regression were conducted to analyse the relationship between sleep quality and FOP. Results Of all participants, 85.8% had poor sleep quality, with a mean score of 12.3 ± 4.2 (possible score could be 0 to 21). The severity of FOP was positively correlated with poor sleep quality. HF hospitalization in the past year, numbers of HF drugs, monthly income and total score of FOP were strong predictors of decreased sleep quality, accounting for 24.2% of the variance in the sleep quality of these patients. Conclusions Patients with chronic HF generally reported poor sleep quality, which should be highly concerned for medical workers. Alleviating FOP as a therapeutic strategy may improve sleep quality. Impact It is urgent to raise clinical attention that Chinese patients with chronic HF have poor sleep quality, which is not just due to the symptoms of HF itself. FOP is an important psychological factor influencing sleep quality in patients with chronic HF, which has not been explored in China. This study provides a new perspective on targeted interventions for poor sleep quality in chronic HF. Patient and public involvement No patient or public involvement.

show abstract

Associations of Insomnia Symptoms With Cognition in Persons With Heart Failure

Cited by 5 publications

References 68 publications

Mapping cognitive function screening instruments for patients with heart failure: A scoping review

Mapping cognitive function screening instruments for patients with heart failure: A scoping review

Associations of insomnia symptoms with sociodemographic, clinical, and lifestyle factors in persons with HF: Health and retirement study

Association between fear of progression and sleep quality in patients with chronic heart failure: A cross‐sectional study

Contact Info

Product

Resources

About