Objectives: Caregivers of individuals with Alzheimer's disease and related dementias experience significant burden and adverse outcomes. Enhancing caregiver self-efficacy has the potential to mitigate these negative impacts, yet little is known about its relationship with other aspects of caregiving. This study examined the relationship between self-efficacy and outcomes; identified factors associated with self-efficacy; examined the mediating role of self-efficacy; and analyzed whether there were racial/ethnic differences.
Methods: Data from caregivers ( = 243) were collected from the Caring for the Caregiver Network study. Participants' level of self-efficacy, depression, burden, and positive aspects of caregiving was assessed using validated measures.
Results: Two self-efficacy subscales predicted caregiver depression, burden, and positive aspects of caregiving. Being White, a spouse, or having a larger social network predicted lower self-efficacy for obtaining respite. Higher income and lower preparedness predicted lower self-efficacy for controlling upsetting thoughts and responding to disruptive behaviors. Self-efficacy for controlling upsetting thoughts mediated the relationship between preparedness and depression along with the relationship between preparedness and burden. Race/ethnicity did not improve model fit.
Conclusion: Self-efficacy plays an important role in caregiver outcomes. These findings indicate that strategies to improve caregiver self-efficacy should be an integral component of caregiver interventions.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9986404 | PMC |
| http://dx.doi.org/10.1080/13607863.2022.2118666 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Efficacy.
Viruses
November 2024
Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv 6997801, Israel.
In this study, we introduce a novel approach that integrates interpretability techniques from both traditional machine learning (ML) and deep neural networks (DNN) to quantify feature importance using global and local interpretation methods. Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights.
View Article and Find Full Text PDFCurrent Status and Significance of Additional Vaccination with COVID-19 Vaccine in Japan-Considerations from Antibody Levels from Hybrid Immunity and Public Perceptions.
Vaccines (Basel)
December 2024
Department of Internal Medicine, Osaka Dental University, 8-1 Kuzuhahanazonocho, Hirakata 573-1121, Osaka, Japan.
This report examines the evolving role of coronavirus disease 2019 (COVID-19) vaccination in Japan, especially in light of the reduced public concern following the reclassification of COVID-19 as a Category 5 infectious disease in May 2023. With over half the population estimated to have hybrid immunity from prior infections and vaccinations, this report evaluated the necessity and frequency of additional booster doses. Despite strong recommendations from Japanese medical societies to continue vaccination, public skepticism remains owing to financial burdens, adverse reactions, and the perceived limited benefits of frequent boosters.
View Article and Find Full Text PDFA Preclinical Immunogenicity Study of the Recombinant Human Papillomavirus Nine-Valent Virus-like Particle Vaccine.
Vaccines (Basel)
November 2024
Shanghai Zerun Biotech Co., Ltd., Building 9, 1690 Zhangheng Road, Pudong, Shanghai 201203, China.
Background: Cervical cancer is associated with persistent infection of high-risk human papillomaviruses (HPVs). Prophylactic HPV vaccines have been recommended and have significant efficacy in preventing cervical cancer. Multivalent HPV vaccines have a better preventative effect on HPV-related diseases.
View Article and Find Full Text PDFA 3D Carbon Architecture Encapsulation Strategy for Boosting the Performance of Nickel Disulfide as an Anode for Sodium-Ion Batteries.
Molecules
December 2024
School of Biological and Chemical Engineering, Nanyang Institute of Technology, Nanyang 473004, China.
Nickel disulfide (NiS) nanoparticles are encapsulated within nitrogen and sulfur co-doped carbon nanosheets, which are grown onto carbon nanofibers to form an array structure (NiS/C@CNF), resulting in a self-supporting film. This encapsulated structure not only prevents the agglomeration of NiS nanoparticles, but also memorably buffers its volume changes during charge/discharge cycles, thereby maintaining structural integrity. The nitrogen and sulfur co-doping enhances electronic conductivity and facilitates the faster ion transport of the carbon backbone, improving the low conductivity of the NiS/C@CNF anodes.
View Article and Find Full Text PDFA Preliminary Investigation into the Use of Cannabis Suppositories and Online Mindful Compassion for Improving Sexual Function Among Women Following Gynaecological Cancer Treatment.
Medicina (Kaunas)
December 2024
School of Psychology, London Metropolitan University, London N7 8DB, UK.
The impact of gynaecological cancer and its treatments on sexual intimacy can be profound on female sexuality. However, very few registered clinical trials have addressed sexual intimacy among this cohort. This preliminary randomised control trial (RCT) and content analysis assessed the effectiveness of a brief online mindful compassion group intervention adjunct with cannabis suppositories.
View Article and Find Full Text PDFWant 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!