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]
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
安渝发布了新的文献求助10
刚刚
刚刚
刚刚
GG发布了新的文献求助10
刚刚
DaisY完成签到,获得积分10
1秒前
JayChou发布了新的文献求助10
2秒前
li发布了新的文献求助10
2秒前
哈哈哈哈h完成签到,获得积分10
2秒前
bbb完成签到,获得积分10
2秒前
2秒前
3秒前
mayaxi完成签到,获得积分10
3秒前
Ail完成签到,获得积分10
3秒前
3秒前
英俊的铭应助舒适新梅采纳,获得10
3秒前
3秒前
3秒前
zz关闭了zz文献求助
4秒前
lizishu应助潦草小狗采纳,获得10
5秒前
野心优雅完成签到,获得积分10
5秒前
5秒前
童嘉毅发布了新的文献求助10
5秒前
5秒前
bbb发布了新的文献求助10
6秒前
7秒前
7秒前
大个应助猴哥好样的采纳,获得10
7秒前
野心优雅发布了新的文献求助10
8秒前
Sun发布了新的文献求助10
8秒前
边伯贤发布了新的文献求助10
9秒前
神明发布了新的文献求助30
9秒前
小黄完成签到 ,获得积分20
10秒前
11秒前
传奇3应助xiahua采纳,获得10
11秒前
13秒前
13秒前
冉柒发布了新的文献求助10
13秒前
13秒前
14秒前
15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
Modern Epidemiology, Fourth Edition 5000
Handbook of pharmaceutical excipients, Ninth edition 5000
Kinesiophobia : a new view of chronic pain behavior 5000
Molecular Biology of Cancer: Mechanisms, Targets, and Therapeutics 3000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 纳米技术 化学工程 生物化学 物理 计算机科学 内科学 复合材料 催化作用 物理化学 光电子学 电极 冶金 细胞生物学 基因
热门帖子
关注 科研通微信公众号,转发送积分 6019217
求助须知:如何正确求助?哪些是违规求助? 7612188
关于积分的说明 16161370
捐赠科研通 5166910
什么是DOI,文献DOI怎么找? 2765483
邀请新用户注册赠送积分活动 1747235
关于科研通互助平台的介绍 1635524