Although there have been many studies that have examined the trajectory of relationship adjustment among newlywed couples in the United States, less is known about the trajectory of relationship adjustment in other countries and over other developmental periods of relationships, such as among families with young children. In this study, we used latent growth curve mixture modeling to examine the trajectories of relationship adjustment among German parents across a 4-year period (N = 242). Approximately 90% of men and women could be classified as showing high relationship adjustment and a stable or increasing trajectory. The remaining 10%, were initially more distressed and showed a decline in relationship adjustment over time. In addition, latent relationship adjustment trajectory class significantly predicted change in men's depressive symptoms over the 4 years; for women, relationship-adjustment trajectory class was related to depressive symptom levels, but did not predict change over time.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1037/a0034183 | DOI Listing |
Alzheimers Dement
December 2024
Case Western Reserve University, Cleveland, OH, USA.
Background: Traumatic Brain Injury (TBI) is one of the most common nonheritable causes of Alzheimer's disease (AD). However, there is lack of effective treatment for both AD and TBI. We posit that network-based integration of multi-omics and endophenotype disease module coupled with large real-world patient data analysis of electronic health records (EHR) can help identify repurposable drug candidates for the treatment of TBI and AD.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
University of California, Irvine, Irvine, CA, USA.
Background: In Alzheimer's disease (AD) clinical trials, participants must enroll with a study partner informant who accompanies them to visits and completes validated instruments. Mid-trial informant replacement (IR) has been found to impact academic trial results. We hypothesized that a similar impact would be observed in industry-sponsored trials.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Faculty of Health, University of Canberra, Bruce, ACT, Australia.
Background: There is a need to understand the benefits and limitations of innovative models of dementia care to ensure models meet the needs of people living with dementia, their families and staff. The aim of this scoping review was to explore and synthesise the barriers and facilitators to the widespread implementation of small-scale residential dementia care.
Method: A scoping review was conducted in 2023 in MEDLINE, CINAHL, PsycINFO, Scopus, Web of Science, and CENTRAL to identify empirical, peer-reviewed studies, published in English from database inception to October 2023.
Alzheimers Dement
December 2024
School of Medical and Health Sciences, Tung Wah College, Kowloon, Hong Kong.
Background: Understanding how caregivers perceive their own aging process is essential for addressing their well-being and the quality of care they provide. This study aimed at exploring the relationship between caregivers' self-perception of ageing in relation to their strain experienced in caregiving, and their perceived physical and mental health symptoms. Moreover, to examine if the strain experience and perceived health condition were key predictors to their self-perception of ageing.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
George Washington University School of Medicine and Health Sciences, Washington, D.C., DC, USA.
Background: Stress associated with caregiving for a person with Alzheimer's Disease and Alzheimer's Disease Related Dementias (AD/RD) has negative health implications. However, little is known about the implications of stress on non-Hispanic Black (NHB) informal male caregivers. This study aims to examine the relationship between sleep, depression, and cognitive function in a sample of NHB informal male caregivers in the metropolitan Washington, D.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!