Depressive Symptoms, Glial Fibrillary Acid Protein Concentrations, and Cognitive Decline in a Cohort Study

队列 认知 人口 胶质纤维酸性蛋白 抑郁症状 认知功能衰退 心理学 医学 内科学 临床心理学 精神科 疾病 环境卫生 免疫组织化学 痴呆
作者
Pankaja Desai,Kristin R Krueger,Carlos F. Mendes de Leon,Robert S Wilson,Denis A Evans,Kumar B Rajan
出处
期刊:The Journals of Gerontology [Oxford University Press]
标识
DOI:10.1093/gerona/glad129
摘要

Abstract Background Little is known about how depressive symptoms and glial fibrillary acid protein (GFAP) concentrations taken together may influence cognitive functioning. Understanding this relationship may inform strategies for screening and early intervention to decrease rate of cognitive decline. Methods This study sample includes 1,169 participants from the Chicago Health and Aging Project (CHAP), consisting of 60% Black participants and 40% White participants, and 63% female participants and 37% male participants. CHAP is a population-based cohort study of older adults with a mean age of 77 years. Linear mixed effects regression models tested the main effects of depressive symptoms and GFAP concentrations and their interactions on baseline cognitive function and cognitive decline over time. Models included adjustments for age, race, sex, education, chronic medical conditions, BMI, smoking status, and alcohol use, and their interactions with time. Results The interaction of depressive symptomology and GFAP (β= -.105 (SE=.038), p=.006) on global cognitive function was statistically significant. Participants with depressive symptoms including and above the cut off and high log of GFAP concentrations had more cognitive decline over time, followed by participants with depressive symptoms below the cut off and high log of GFAP concentrations, depressive symptom scores including and above the cut off and low log of GFAP concentrations, and depressive symptom scores below the cut off and low log of GFAP concentrations. Conclusions Depressive symptoms have an additive effect on the association between the log of GFAP and baseline global cognitive function.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
wangeil007完成签到,获得积分10
刚刚
coffeecat完成签到,获得积分10
刚刚
北北首领完成签到,获得积分10
3秒前
ding应助科研通管家采纳,获得10
3秒前
华仔应助科研通管家采纳,获得10
3秒前
3秒前
耳东完成签到 ,获得积分10
3秒前
3秒前
3秒前
比卡臭批发完成签到 ,获得积分10
3秒前
星辰大海应助科研通管家采纳,获得10
3秒前
bkagyin应助科研通管家采纳,获得30
4秒前
wanci应助科研通管家采纳,获得10
4秒前
FashionBoy应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
4秒前
CipherSage应助科研通管家采纳,获得10
4秒前
Orange应助科研通管家采纳,获得10
4秒前
我是老大应助科研通管家采纳,获得10
4秒前
情怀应助科研通管家采纳,获得10
4秒前
4秒前
传奇3应助科研通管家采纳,获得10
4秒前
科研通AI2S应助科研通管家采纳,获得10
4秒前
大个应助科研通管家采纳,获得10
4秒前
顾矜应助科研通管家采纳,获得10
4秒前
汉堡包应助科研通管家采纳,获得10
4秒前
共享精神应助科研通管家采纳,获得10
4秒前
4秒前
彭于晏应助科研通管家采纳,获得10
5秒前
机灵柚子应助科研通管家采纳,获得20
5秒前
李健应助科研通管家采纳,获得10
5秒前
无极微光应助科研通管家采纳,获得20
5秒前
桐桐应助科研通管家采纳,获得10
5秒前
赘婿应助科研通管家采纳,获得10
5秒前
乐乐应助科研通管家采纳,获得10
5秒前
Akim应助科研通管家采纳,获得10
5秒前
NexusExplorer应助科研通管家采纳,获得10
5秒前
zz完成签到,获得积分10
5秒前
无极微光应助科研通管家采纳,获得20
5秒前
小蘑菇应助科研通管家采纳,获得10
5秒前
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development Across Adulthood 800
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
天津市智库成果选编 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6445204
求助须知:如何正确求助?哪些是违规求助? 8258882
关于积分的说明 17593286
捐赠科研通 5505121
什么是DOI,文献DOI怎么找? 2901677
邀请新用户注册赠送积分活动 1878685
关于科研通互助平台的介绍 1718460