Add like
Add dislike
Add to saved papers

Network Analysis of Dyadic Burdens, Psychological Disorders, Psychological Resilience, and Illness- or Caregiving-Related Beliefs in Patients With Chronic Heart Failure and Their Caregivers.

BACKGROUND: Previous research has examined the dyadic health components consisting of dyadic burdens, psychological disorders, psychological resilience, and illness- or caregiving-related beliefs independently from each other in patients with chronic heart failure (CHF) and their caregivers, but there is a need for further insights into their interconnections.

OBJECTIVE: We aimed to explore the interconnections among dyadic health components in patients with CHF and their caregivers.

METHODS: We conducted a cross-sectional study, recruiting in a total of 355 patients with CHF and their 355 respective caregivers, totaling 710 individuals across the dyads. Assessments were conducted on symptom burden, caregiver burden, anxiety, depression, psychological resilience, perceived control, and caregiver self-efficacy. Network analysis was used regarding these constructs as nodes and their associations as edges.

RESULTS: The strongest edge weight was observed between patients' anxiety and depression, followed by caregivers' anxiety and depression. Patients' depression exhibited the strongest edge weight with dyadic burdens. Caregiver burden was independently correlated with all nodes. Patients' symptom burden had fewer associations with the nodes within the caregiver community. Patients' anxiety, depression, and psychological resilience demonstrated the strongest and most influential correlations with other nodes.

CONCLUSIONS: The findings illustrated extensive interconnections among dyadic health components in CHF dyads. These findings underscored the significance of managing and intervening with patients and caregivers as a dyadic whole. Given the strong and frequent associations of patients' anxiety, depression, and psychological resilience with other nodes in the network, interventions targeting these nodes may enhance the overall network health of CHF dyads.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app