Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Introduction: The 21-point Brain Care Score (BCS) is a novel tool designed to motivate individuals and care providers to take action to reduce the risk of stroke and dementia by encouraging lifestyle changes. Given that late-life depression is increasingly recognized to share risk factors with stroke and dementia, and is an important clinical endpoint for brain health, we tested the hypothesis that a higher BCS is associated with a reduced incidence of future depression. Additionally, we examined its association with a brain health composite outcome comprising stroke, dementia, and late-life depression.

Methods: The BCS was derived from the United Kingdom Biobank baseline evaluation in participants with complete data on BCS items. Associations of BCS with the risk of subsequent incident late-life depression and the composite brain health outcome were estimated using multivariable Cox proportional hazard models. These models were adjusted for age at baseline and sex assigned at birth.

Results: A total of 363,323 participants were included in this analysis, with a median BCS at baseline of 12 (IQR: 11-14). There were 6,628 incident cases of late-life depression during a median follow-up period of 13 years. Each five-point increase in baseline BCS was associated with a 33% lower risk of incident late-life depression (95% CI: 29%-36%) and a 27% lower risk of the incident composite outcome (95% CI: 24%-30%).

Discussion: These data further demonstrate the shared risk factors across depression, dementia, and stroke. The findings suggest that a higher BCS, indicative of healthier lifestyle choices, is significantly associated with a lower incidence of late-life depression and a composite brain health outcome. Additional validation of the BCS is warranted to assess the weighting of its components, its motivational aspects, and its acceptability and adaptability in routine clinical care worldwide.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11301016PMC
http://dx.doi.org/10.3389/fpsyt.2024.1373797DOI Listing

Publication Analysis

Top Keywords

late-life depression
28
brain health
16
depression composite
12
composite outcome
12
stroke dementia
12
depression
9
bcs
9
brain care
8
care score
8
late-life
8

Similar Publications

Background: The loss of a loved one is a common yet stressful event in later life. Internet- and mobile-based interventions have been proposed as an effective treatment approach for individuals with prolonged grief.

Objective: The AgE-health study aimed to investigate the efficacy of an eHealth intervention, trauer@ktiv, in reducing prolonged grief symptoms in a sample of older adults.

View Article and Find Full Text PDF

Severe worry is a transdiagnostic, highly prevalent symptom, difficult to treat and associated with significant morbidity in late life. Understanding the neural correlates of worry induction and reappraisal in older adults is key to developing novel treatments. We recruited 124 older adults ( ≥ 50 years old) with varying worry severity and clinical comorbidity (27% generalized anxiety disorder, 23% depressive disorders).

View Article and Find Full Text PDF

Aging is an inevitable process. Chronic pain and late-life depression frequently coexist in older adults. This study was aimed to explore the association between chronic pain and late-life depression in Chinese centenarians and oldest-old adults.

View Article and Find Full Text PDF

Background: Late-life depression (LLD) is associated with negative outcomes including high rates of recurrence and cognitive decline. However, the neurobiological changes influencing such outcomes in LLD are not well understood. Disequilibrium in large-scale brain networks may contribute to LLD-related cognitive decline.

View Article and Find Full Text PDF

Background Aging involves heterogeneous brain grey matter (GM) loss patterns that may overlap with dementia-related changes. We evaluated cognitively unimpaired older adults to identify specific GM patterns, their clinical and cognitive profiles, and longitudinal trajectories. Methods We analyzed 746 participants from the Gothenburg H70 Study using random forest clustering based on MRI measures of cortical thickness and subcortical volume across 41 regions.

View Article and Find Full Text PDF