We have located links that may give you full text access.
Journal Article
Research Support, Non-U.S. Gov't
Predicting caregiver burden in first admission psychiatric patients. 2-year follow-up results.
OBJECTIVE: The aim of the study was to identify the best predictors of the course of burden during a 2-year follow-up period. The study is part of the Munich 5-year follow-up study in relatives of first admitted patients with schizophrenia or depression.
METHOD: A cohort of 60 key relatives was assessed based on a transactional stress model concerning objective and subjective burden, well-being, self-rated symptoms and global satisfaction with life. The stressors were defined as patients' illness variables, and the potential predictors included different dispositions and resources of the relatives. Effects were analyzed by regression models. In a first step, the main predictors of burden were identified at each assessment. In a second step, the resulting predictors were included in a Generalized Linear Modeling procedure.
RESULTS: Caregivers' burden improved significantly, but well-being and self-rated symptoms remained elevated. In the final regression model, expressed emotion, neuroticism, generalized negative stress response and life stressors resulted as the best predictors of burden. The effects were rather time invariant than time dependent.
CONCLUSION: In order to effectively work on long-standing unfavourable patterns of stress response, family interventions should be long-term and targeted to vulnerable caregivers who could be identified by virtue of their personality traits.
METHOD: A cohort of 60 key relatives was assessed based on a transactional stress model concerning objective and subjective burden, well-being, self-rated symptoms and global satisfaction with life. The stressors were defined as patients' illness variables, and the potential predictors included different dispositions and resources of the relatives. Effects were analyzed by regression models. In a first step, the main predictors of burden were identified at each assessment. In a second step, the resulting predictors were included in a Generalized Linear Modeling procedure.
RESULTS: Caregivers' burden improved significantly, but well-being and self-rated symptoms remained elevated. In the final regression model, expressed emotion, neuroticism, generalized negative stress response and life stressors resulted as the best predictors of burden. The effects were rather time invariant than time dependent.
CONCLUSION: In order to effectively work on long-standing unfavourable patterns of stress response, family interventions should be long-term and targeted to vulnerable caregivers who could be identified by virtue of their personality traits.
Full text links
Related Resources
Trending Papers
Challenges in Septic Shock: From New Hemodynamics to Blood Purification Therapies.Journal of Personalized Medicine 2024 Februrary 4
Molecular Targets of Novel Therapeutics for Diabetic Kidney Disease: A New Era of Nephroprotection.International Journal of Molecular Sciences 2024 April 4
The 'Ten Commandments' for the 2023 European Society of Cardiology guidelines for the management of endocarditis.European Heart Journal 2024 April 18
A Guide to the Use of Vasopressors and Inotropes for Patients in Shock.Journal of Intensive Care Medicine 2024 April 14
Diagnosis and Management of Cardiac Sarcoidosis: A Scientific Statement From the American Heart Association.Circulation 2024 April 19
Essential thrombocythaemia: A contemporary approach with new drugs on the horizon.British Journal of Haematology 2024 April 9
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
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