• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

美国成年人的饮食行为与使用合并队列风险方程预测的首次动脉粥样硬化性心血管疾病事件的10年风险

Dietary Behavior and Predicted 10-Year Risk for a First Atherosclerotic Cardiovascular Disease Event Using the Pooled Cohort Risk Equations Among US Adults.

作者信息

Edwards Meghan K, Crush Elizabeth, Loprinzi Paul D

机构信息

1 Physical Activity Epidemiology Laboratory, Department of Health, Exercise Science and Recreation Management, School of Applied Sciences, The University of Mississippi, Oxford, MS, USA.

出版信息

Am J Health Promot. 2018 Jul;32(6):1447-1451. doi: 10.1177/0890117116667159. Epub 2016 Sep 7.

DOI:10.1177/0890117116667159
PMID:27609908
Abstract

PURPOSE

The pooled cohort equations were developed in 2013 by the American College of Cardiology/American Heart Association Task Force to predict an individual's 10-year risk of an atherosclerotic cardiovascular disease (ASCVD) event. The purpose of the present study was to evaluate how predicted 10-year ASCVD event risk varies as a function of daily dietary behavior.

DESIGN

Cross-sectional.

SETTING

National Health and Nutrition Examination Survey 2003 to 2006.

PARTICIPANTS

A total of 2362 adults aged 40 to 79 years.

MEASURES

The ASCVD was assessed via the pooled cohort equations, with the Healthy Eating Index calculated from self-reported dietary behavior.

ANALYSIS

Multivariable linear and logistic regression.

RESULTS

Adults in the United States consuming a healthy diet (vs those not consuming a healthy diet) had an 88% increased odds of being at low risk for a future ASCVD event within the next 10 years (odds ratio [OR] = 1.88; 95% confidence interval [CI]: 1.35-2.68; P < .001). Similarly, those eating a healthy diet had a 44% reduced odds of being at high risk for a future ASCVD event within the next 10 years (OR = 0.56; 95% CI: 0.34-0.93; P = .02).

CONCLUSION

Among adults who were free of cardiovascular disease, those with a healthy diet had reduced odds of being at high risk for a 10-year ASCVD event.

摘要

目的

美国心脏病学会/美国心脏协会工作组于2013年制定了汇总队列方程,以预测个体发生动脉粥样硬化性心血管疾病(ASCVD)事件的10年风险。本研究的目的是评估预测的10年ASCVD事件风险如何随日常饮食行为而变化。

设计

横断面研究。

地点

2003年至2006年全国健康与营养检查调查。

参与者

共有2362名40至79岁的成年人。

测量方法

通过汇总队列方程评估ASCVD,并根据自我报告的饮食行为计算健康饮食指数。

分析

多变量线性和逻辑回归。

结果

在美国,饮食健康的成年人(与饮食不健康的成年人相比)在未来10年内发生ASCVD事件低风险的几率增加了88%(优势比[OR]=1.88;95%置信区间[CI]:1.35 - 2.68;P<.001)。同样,饮食健康的成年人在未来10年内发生ASCVD事件高风险的几率降低了44%(OR = 0.56;95% CI:0.34 - 0.93;P = .02)。

结论

在无心血管疾病的成年人中,饮食健康的人发生10年ASCVD事件高风险的几率降低。

相似文献

1
Dietary Behavior and Predicted 10-Year Risk for a First Atherosclerotic Cardiovascular Disease Event Using the Pooled Cohort Risk Equations Among US Adults.美国成年人的饮食行为与使用合并队列风险方程预测的首次动脉粥样硬化性心血管疾病事件的10年风险
Am J Health Promot. 2018 Jul;32(6):1447-1451. doi: 10.1177/0890117116667159. Epub 2016 Sep 7.
2
Health characteristics and predicted 10-year risk for a first atherosclerotic cardiovascular disease (ASCVD) event using the Pooled Cohort Risk Equations among US adults who are free of cardiovascular disease.在美国无心血管疾病的成年人中,使用合并队列风险方程得出的健康特征及首次动脉粥样硬化性心血管疾病(ASCVD)事件的预测10年风险。
Physiol Behav. 2015 Nov 1;151:591-5. doi: 10.1016/j.physbeh.2015.08.031. Epub 2015 Sep 1.
3
Predictive Validity of the American College of Cardiology/American Heart Association Pooled Cohort Equations in Predicting All-Cause and Cardiovascular Disease-Specific Mortality in a National Prospective Cohort Study of Adults in the United States.美国心脏病学会/美国心脏协会合并队列方程预测美国全国前瞻性成人队列研究中全因和心血管疾病特异性死亡率的预测价值。
Mayo Clin Proc. 2016 Jun;91(6):763-9. doi: 10.1016/j.mayocp.2016.03.019. Epub 2016 May 11.
4
Arsenic Exposure and Predicted 10-Year Atherosclerotic Cardiovascular Risk Using the Pooled Cohort Equations in U.S. Hypertensive Adults.美国高血压成年人中砷暴露与使用合并队列方程预测的10年动脉粥样硬化性心血管疾病风险
Int J Environ Res Public Health. 2016 Nov 7;13(11):1093. doi: 10.3390/ijerph13111093.
5
Predictive validity of the ACC/AHA pooled cohort equations in predicting residual-specific mortality in a national prospective cohort study of adults in the United States.美国一项针对成年人的全国前瞻性队列研究中,ACC/AHA合并队列方程在预测特定残余死亡率方面的预测效度。
Postgrad Med. 2016 Nov;128(8):865-868. doi: 10.1080/00325481.2016.1245094. Epub 2016 Oct 17.
6
Daily movement patterns and predicted 10-yr risk for a first atherosclerotic cardiovascular disease (ASCVD) event using the pooled cohort risk equations among US adults.美国成年人的日常活动模式以及使用合并队列风险方程预测首次发生动脉粥样硬化性心血管疾病(ASCVD)事件的10年风险。
Prev Med. 2015 Dec;81:78-81. doi: 10.1016/j.ypmed.2015.08.008. Epub 2015 Aug 21.
7
Predicted Cardiovascular Risk by the PREVENT Equations in US Adults With Stage 1 Hypertension.美国 1 期高血压成年人中 PREVENT 方程预测的心血管风险。
Hypertension. 2024 Sep;81(9):1976-1985. doi: 10.1161/HYPERTENSIONAHA.124.22998. Epub 2024 Jul 15.
8
Risk of Atherosclerotic Cardiovascular Disease Among US Adults: Use of 1999-2014 NHANES Data.美国成年人动脉粥样硬化性心血管疾病风险:使用1999 - 2014年美国国家健康与营养检查调查(NHANES)数据
J Prim Prev. 2019 Oct;40(5):569-573. doi: 10.1007/s10935-019-00564-1.
9
Predictive validity of the ACC/AHA pooled cohort equations in predicting cancer-specific mortality in a National Prospective Cohort Study of Adults in the United States.美国成年人全国前瞻性队列研究中,ACC/AHA合并队列方程在预测癌症特异性死亡率方面的预测效度。
Int J Clin Pract. 2016 Aug;70(8):691-5. doi: 10.1111/ijcp.12840. Epub 2016 Jul 7.
10
Race/Ethnic and Sex Differences in the Association of Atherosclerotic Cardiovascular Disease Risk and Healthy Lifestyle Behaviors.种族/民族和性别差异与动脉粥样硬化性心血管疾病风险及健康生活方式行为的关系。
J Am Heart Assoc. 2018 May 3;7(10):e008250. doi: 10.1161/JAHA.117.008250.

引用本文的文献

1
Dietary Patterns and Cardiovascular Risk: Are the Mediterranean Diet, the Heart-Healthy Diet, and Phytochemicals Associated with Lower Cardiovascular Risks?饮食模式与心血管风险:地中海饮食、心脏健康饮食以及植物化学物质与较低的心血管风险有关联吗?
Iran J Public Health. 2023 Dec;52(12):2611-2620. doi: 10.18502/ijph.v52i12.14322.
2
Joint Associations of Multiple Dietary Components With Cardiovascular Disease Risk: A Machine-Learning Approach.多种膳食成分与心血管疾病风险的联合关联:一种机器学习方法。
Am J Epidemiol. 2021 Jul 1;190(7):1353-1365. doi: 10.1093/aje/kwab004.