An L-shaped association between composite dietary antioxidant index and stroke: Evidence from NHANES 2011-2020

医学 四分位数 冲程(发动机) 逻辑回归 全国健康与营养检查调查 内科学 人口 环境卫生 置信区间 机械工程 工程类
作者
Jiesheng Mao,Yunhan Zhao,Haoxiang Hu,Mi Ζhou,Xiaokai Yang
出处
期刊:Journal of stroke and cerebrovascular diseases [Elsevier BV]
卷期号:33 (3): 107578-107578 被引量:2
标识
DOI:10.1016/j.jstrokecerebrovasdis.2024.107578
摘要

Objectives Antioxidant diets are considered to be protective factors against stroke. However, comprehensive measurement and evaluation of antioxidant diets are lacking. This study aimed to investigate the correlation between the Composite Dietary Antioxidant Index (CDAI) and stroke in adults. Materials and methods In this study, based on the National Health and Nutrition Examination Survey (NHANES) 2011-2020 data, multivariate logistic regression, smoothing curve fitting, and threshold effect analysis were used to explore the relationship between CDAI and stroke. Subgroup analyses and interaction tests were conducted to assess the stability of this association within the population. Results Among 12,922 U.S. adults, there was a significant negative correlation between CDAI and the prevalence of stroke. In the fully adjusted model, the risk of stroke was reduced by 4 % for each 1-unit increase in CDAI (OR [95% CI] = 0.96 [0.93, 0.99]). Participants in the highest quartile of the CDAI had a 37 % lower risk of stroke than those in the lowest quartile (OR [95% CI] = 0.63 [0.47, 0.84]). This negative correlation remained stable across subgroups. Furthermore, the study revealed an L-shaped association between CDAI and stroke through smoothing curve fitting. The threshold effect analysis further identified the inflection point as -1.55. Conclusions This study revealed an L-shaped relationship between CDAI and stroke. Keeping CDAI in the proper range may help prevent stroke in the general population.

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
大方的山灵完成签到,获得积分10
1秒前
优雅花卷完成签到,获得积分10
1秒前
2秒前
大耳萌图完成签到 ,获得积分10
2秒前
3秒前
3秒前
3秒前
soss发布了新的文献求助10
4秒前
fjl完成签到,获得积分10
5秒前
贪玩的秋柔应助lizishu采纳,获得50
5秒前
yumi发布了新的文献求助10
6秒前
林北bei发布了新的文献求助10
6秒前
8秒前
Rain完成签到,获得积分20
8秒前
8秒前
小老虎Milly完成签到,获得积分10
9秒前
Dr_nie完成签到,获得积分10
12秒前
Ascender发布了新的文献求助10
12秒前
今后应助dm采纳,获得10
14秒前
跳跃毛豆完成签到 ,获得积分10
14秒前
王然完成签到,获得积分10
14秒前
李子发布了新的文献求助10
14秒前
14秒前
鼠牵牛完成签到,获得积分10
15秒前
16秒前
李爱国应助阳光秋柔采纳,获得10
16秒前
Hello应助樱铃采纳,获得10
18秒前
19秒前
参商完成签到,获得积分10
19秒前
19秒前
19秒前
ustina发布了新的文献求助10
20秒前
qingting发布了新的文献求助10
20秒前
Jasper应助北风采纳,获得10
20秒前
20秒前
领导范儿应助CC采纳,获得30
21秒前
Hello应助zx采纳,获得10
21秒前
yumi完成签到,获得积分10
21秒前
22秒前
22秒前
高分求助中
Signals, Systems, and Signal Processing 610
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
Burger's Medicinal Chemistry and Drug Discovery 400
Probability and Stochastic Processes 333
New directions for experimental lessons in science teaching: Myth, Mystery, Necessity? by Emily K. da Silva Cunha Souto (Author), Flávia Lins Silva (Author) 333
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 6744310
求助须知:如何正确求助?哪些是违规求助? 8475148
关于积分的说明 18077581
捐赠科研通 6015396
什么是DOI,文献DOI怎么找? 3004492
邀请新用户注册赠送积分活动 1981112
关于科研通互助平台的介绍 1946804