社会心理的
社会孤立
痴呆
医学
老年学
优势比
社会支持
队列
社区动脉粥样硬化风险
心理学
队列研究
疾病
内科学
人口学
临床心理学
精神科
社会学
心理治疗师
作者
Renée C. Groechel,Albert C. Liu,Silvia Koton,Anna Kucharska‐Newton,Pamela L. Lutsey,Thomas H. Mosley,Priya Palta,A. Richey Sharrett,Keenan A. Walker,Dean F. Wong,Rebecca F. Gottesman
摘要
Background: Psychosocial factors are modifiable risk factors for Alzheimer’s disease (AD). One mechanism linking psychosocial factors to AD risk may be through biological measures of brain amyloid; however, this association has not been widely studied. Objective: To determine if mid-life measures of social support and social isolation in the Atherosclerosis Risk in Communities (ARIC) Study cohort are associated with late life brain amyloid burden, measured using florbetapir positron emission tomography (PET). Methods: Measures of social support and social isolation were assessed in ARIC participants (visit 2: 1990–1992). Brain amyloid was evaluated with florbetapir PET standardized uptake value ratios (SUVRs; visit 5: 2012–2014). Results: Among 316 participants without dementia, participants with intermediate (odds ratio (OR), 0.47; 95% CI, 0.25–0.88), or low social support (OR, 0.43; 95% CI, 0.22–0.83) in mid-life were less likely to have elevated amyloid SUVRs, relative to participants with high social support. Participants with moderate risk for social isolation in mid-life (OR, 0.32; 95% CI, 0.14–0.74) were less likely to have elevated amyloid burden than participants at low risk for social isolation. These associations were not significantly modified by sex or race. Conclusions: Lower social support and moderate risk of social isolation in mid-life were associated with lower odds of elevated amyloid SUVR in late life, compared to participants with greater mid-life psychosocial measures. Future longitudinal studies evaluating mid-life psychosocial factors, in relation to brain amyloid as well as other health outcomes, will strengthen our understanding of the role of these factors throughout the lifetime.
科研通智能强力驱动
Strongly Powered by AbleSci AI