Ultra-Processed Foods and Excess Heart Age Among U.S. Adults

医学 环境卫生
作者
Quanhe Yang,Zefeng Zhang,Carlos Augusto Monteiro,Latetia V. Moore,Sandra L. Jackson
出处
期刊:American Journal of Preventive Medicine [Elsevier BV]
卷期号:59 (5): e197-e206 被引量:11
标识
DOI:10.1016/j.amepre.2020.06.013
摘要

Introduction A high percentage of total calories from ultra-processed foods has been associated with several cardiovascular disease risk factors. No study has examined the association between ultra-processed foods and heart age. This study examines the association between ultra-processed foods and excess heart age (difference between estimated heart age and chronological age) among U.S. adults. Methods The National Health and Nutrition Examination Survey (2009–2016) data for participants aged 30–74 years without cardiovascular disease or stroke (n=12,640) was used. Ultra-processed food was assigned based on NOVA classification of food processing, with ultra-processed food being the highest level. This study estimated the usual percentage of calories from ultra-processed foods and used sex-specific Framingham heart age algorithms to calculate heart age. The multivariable linear or logistic regression was used to examine the association between ultra-processed foods and excess heart age or likelihood of excess heart age being ≥10 years. Data analyses were conducted in 2020. Results The median usual percentage of calories from ultra-processed foods was 54.5% (IQR=45.8%‒63.1%). Adjusted excess heart age increased from 7.0 years (95% CI=6.4, 7.6) in the lowest quintile (Q1) to 9.9 years (95% CI=9.2, 10.5) in the highest quintile (Q5) (p Conclusions U.S. adults consumed more than half of total daily calories from ultra-processed foods. A higher percentage of calories from ultra-processed foods was associated with higher excess heart age and likelihood of excess heart age of ≥10 years.

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
灵巧的长颈鹿完成签到,获得积分10
4秒前
糊涂的天思完成签到 ,获得积分10
6秒前
666完成签到 ,获得积分10
7秒前
Fanfan完成签到 ,获得积分10
9秒前
温暖的寄容完成签到,获得积分10
13秒前
田様应助SKKY采纳,获得30
14秒前
16秒前
77应助科研通管家采纳,获得10
16秒前
77应助科研通管家采纳,获得10
16秒前
17秒前
21秒前
顾矜应助一个小胖子采纳,获得10
22秒前
鲁卓林完成签到,获得积分10
24秒前
小狮子完成签到 ,获得积分10
32秒前
WUZY完成签到,获得积分10
33秒前
37秒前
weiwei04314完成签到,获得积分10
39秒前
小蓝完成签到,获得积分20
40秒前
weiwei04314发布了新的文献求助10
41秒前
风趣朝雪完成签到,获得积分10
47秒前
橙子发布了新的文献求助30
48秒前
韩寒完成签到 ,获得积分10
50秒前
阳光的凡阳完成签到 ,获得积分10
52秒前
xxw完成签到,获得积分10
52秒前
kk完成签到,获得积分10
53秒前
单纯的小土豆完成签到 ,获得积分0
53秒前
天问完成签到,获得积分10
53秒前
Kiry完成签到 ,获得积分10
57秒前
Jingwen完成签到 ,获得积分10
1分钟前
梦游菌完成签到 ,获得积分10
1分钟前
吉吉完成签到,获得积分10
1分钟前
娅娃儿完成签到 ,获得积分10
1分钟前
April发布了新的文献求助10
1分钟前
1分钟前
华华华完成签到,获得积分10
1分钟前
凡凡完成签到,获得积分10
1分钟前
星辰大海应助April采纳,获得10
1分钟前
kanong完成签到,获得积分0
1分钟前
nianshu完成签到 ,获得积分0
1分钟前
aikeyan完成签到,获得积分10
1分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6473779
求助须知:如何正确求助?哪些是违规求助? 8276810
关于积分的说明 17647098
捐赠科研通 5553916
什么是DOI,文献DOI怎么找? 2909824
邀请新用户注册赠送积分活动 1886615
关于科研通互助平台的介绍 1738843