Environment-Wide Association Study of Cognitive Function in U.S. Older Adults using the NHANES Data

联想(心理学) 全国健康与营养检查调查 老年学 认知 心理学 环境卫生 人口学 医学 社会学 精神科 人口 心理治疗师
作者
Hyuna Jang,Jiyun Lee,Vy Nguyen,Hyeong‐Moo Shin
标识
DOI:10.1101/2024.07.22.24310659
摘要

Neurodegenerative diseases pose increasing challenges to global aging populations. Cognitive decline in older adults is an initial indicator of neurodegenerative diseases, yet comprehensive research on environmental chemical exposures related to cognitive decline is limited. This study uses Environment-Wide Association Study (EWAS) framework to investigate associations of environmental chemicals with cognitive function in individuals aged ≥60 years. We used the Digit Symbol Substitution Test (DSST) scores (lower scores indicate cognitive decline) and chemical biomarker data of the U.S. National Health and Nutrition Examination Survey (NHANES) spanning four cycles (1999-2000, 2001-2002, 2011-2012, 2013-2014). We conducted multiple survey-weighted regression to identify biomarkers associated with DSST scores, penalized logit regression to estimate odds ratio (OR) of cognitive decline with identified biomarkers, and correlation network analyses to examine relationships among identified biomarkers and cognitive decline. After correction for multiple comparisons, 27 out of 173 biomarkers having a ≥10% detection rate were associated with DSST scores (q-value <0.05). Among them, increased odds of cognitive decline were associated with elevated levels of blood lead (Pb) (OR = 1.12, 95% CI: 1.01,1.42), blood 1,4-dichlorobenzene (1,4-DCB) (OR = 1.34, 95% CI: 1.17, 1.54), and urinary 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) (OR = 1.34, 95% CI: 1.10, 1.62). Correlation network showed biomarkers that potentially impact cognitive decline upon related health conditions, such as stroke. In conclusion, leveraging the EWAS framework enables us to identify chemical biomarkers that were not previously discovered from traditional approaches of examining a small number of chemicals at a time. While our findings provide foundation for further research, longitudinal studies are warranted to elucidate causal relationships.

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
瘦瘦白薇发布了新的文献求助10
刚刚
61儿童椅发布了新的文献求助10
刚刚
刚刚
噜噜噜完成签到,获得积分20
2秒前
隐居发布了新的文献求助10
2秒前
科研啦应助糊涂的半梦采纳,获得10
3秒前
cym发布了新的文献求助10
3秒前
3秒前
科研通AI6.2应助18726352502采纳,获得30
3秒前
4秒前
yyc发布了新的文献求助10
4秒前
soda苏应助辛勤若云采纳,获得10
5秒前
Ava应助如意的慕灵采纳,获得10
5秒前
song052414发布了新的文献求助10
5秒前
wjx发布了新的文献求助10
5秒前
yjh123应助青月小飞龙采纳,获得30
6秒前
7秒前
chengyahong发布了新的文献求助10
8秒前
ding应助elivsZhou采纳,获得10
8秒前
fat发布了新的文献求助20
8秒前
8秒前
万能图书馆应助123采纳,获得10
8秒前
猫独秀完成签到,获得积分10
9秒前
chemistry606发布了新的文献求助10
9秒前
9秒前
11秒前
dezhen1991发布了新的文献求助10
11秒前
阿欢发布了新的文献求助10
12秒前
Avalonx应助ale采纳,获得10
12秒前
Nefelibata发布了新的文献求助10
13秒前
jy发布了新的文献求助10
15秒前
雾里发布了新的文献求助10
15秒前
科研通AI6.2应助清秀馒头采纳,获得10
16秒前
16秒前
科研通AI6.2应助Yzy采纳,获得10
16秒前
晴天发布了新的文献求助10
17秒前
丘山发布了新的文献求助10
17秒前
18秒前
破忒头应助科研通管家采纳,获得10
18秒前
Owen应助科研通管家采纳,获得10
18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
模型平均及其应用 900
Nondestructive Testing Handbook: Vol. 4, Thermal and Infrared Testing (IR), 4th ed 800
作者名:Kristopher P. Plain,悉尼大学的,目前只能查到其四篇论文,想找到其博士论文 590
Évora na Idade Média 555
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Structural Analysis 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7351577
求助须知:如何正确求助?哪些是违规求助? 8963079
关于积分的说明 19040562
捐赠科研通 7000870
什么是DOI,文献DOI怎么找? 3221314
关于科研通互助平台的介绍 2385823
邀请新用户注册赠送积分活动 2201751