Background: Family caregivers are at higher risk for developing cardiovascular disease (CVD) than non-caregivers. This risk is worse for those who live in rural compared to urban areas. Health activation, an indicator of engagement in self-care, is predictive of health outcomes and CVD risk in several populations. However, it is not known whether health activation is associated with CVD risk in rural caregivers of patients with chronic illnesses nor is it clear whether sex moderates any association.

Objectives: Our aims were to determine (1) whether health activation independently predicts 10-year CVD risk; and (2) whether sex interacts with health activation in the prediction of 10-year CVD risk among rural family caregivers (N = 247) of patients with chronic illnesses.

Methods: Health activation was measured using the Patient Activation Measure. The predicted 10-year risk of CVD was assessed using the Framingham Risk Score. Data were analyzed using nonlinear regression analysis.

Results: Higher levels of health activation were significantly associated with decreased risk of developing CVD (p < 0.028). There was no interaction of sex with health activation on future CVD risk. However, male caregivers had greater risk of developing CVD in the next 10 years than female caregivers (p < 0.001).

Conclusions: We demonstrated the importance of health activation to future CVD risk in rural family caregivers of patients with chronic illnesses. We also demonstrated that despite the higher risk of future CVD among male, the degree of association between health activation and CVD risk did not differ by sex.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11502275PMC
http://dx.doi.org/10.1111/jrh.12850DOI Listing

Publication Analysis

Top Keywords

health activation
28
cvd risk
16
family caregivers
12
patients chronic
12
risk
10
activation
8
cardiovascular disease
8
rural family
8
caregivers patients
8
chronic illnesses
8

Similar Publications

Emergency managers' challenges with wildfires and related cascading hazards in California.

J Environ Manage

January 2025

Department of Psychological Science, University of California, Irvine, CA, 92697, USA; Department of Medicine, University of California, Irvine, CA, 92697, USA; Department of Health, Society, and Behavior, University of California, Irvine, CA, 92697, USA; Department of Population Health and Disease Prevention, University of California, Irvine, CA, 92697, USA.

This study investigates the complexities faced by emergency managers in wildfire-prone areas to uncover pressing issues and potential solutions. Four themes are discerned through three focus group discussions with emergency managers from nine counties across California. First, there is unequal access to resources for both risk assessment and response, with counties that have fewer resources facing significant challenges in effectively managing wildfire risks.

View Article and Find Full Text PDF

Diagnostic accuracy of reduced electroencephalography montages for seizure detection: A frequentist and Bayesian meta-analysis.

Neurophysiol Clin

January 2025

School of Public Health, College of Public Health, Taipei Medical University, Taipei, Taiwan; Department of Emergency Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Department of Public Health, School of Medicine, College of Medicine, Taipei Medical University, Taipei, Taiwan; Center of Evidence-Based Medicine, Taipei Medical University Hospital, Taipei, Taiwan; Department of Medical Research, Taipei Medical University Hospital, Taipei, Taiwan. Electronic address:

Aim: To evaluate the diagnostic accuracy of reduced montage electroencephalography (EEG) for seizure detection and provide evidence-based recommendations.

Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a diagnostic meta-analysis to assess the sensitivity and specificity of reduced EEG montages in detecting seizure activity. A hierarchical summary receiver operating characteristic curve (HSROC) model was used to estimate the area under the curve (AUC).

View Article and Find Full Text PDF

Analysis of Reddit Discussions on Motivational Factors for Physical Activity: Cross-Sectional Study.

J Med Internet Res

January 2025

Department of Health Promotion, School of Public Health, Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel.

Background: Despite the ample benefits of physical activity (PA), many individuals do not meet the minimum PA recommended by health organizations. Structured questionnaires and interviews are commonly used to study why individuals perform PA and their strategies to adhere to PA. However, certain biases are inherent to these tools that limit what can be concluded from their results.

View Article and Find Full Text PDF

To ensure that an eHealth technology fits with its intended users, other stakeholders, and the context within which it will be used, thorough development, implementation, and evaluation processes are necessary. The CeHRes (Centre for eHealth and Wellbeing Research) Roadmap is a framework that can help shape these processes. While it has been successfully used in research and practice, new developments and insights have arisen since the Roadmap's first publication in 2011, not only within the domain of eHealth but also within the different disciplines in which the Roadmap is grounded.

View Article and Find Full Text PDF

Background: The idea of making science more accessible to nonscientists has prompted health researchers to involve patients and the public more actively in their research. This sometimes involves writing a plain language summary (PLS), a short summary intended to make research findings accessible to nonspecialists. However, whether PLSs satisfy the basic requirements of accessible language is unclear.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!