Major dietary patterns and predicted cardiovascular disease risk in an Iranian adult population

Author:

Shahavandi Mahshid1ORCID,Amini Mohammad Reza1ORCID,Shahinfar Hossein1ORCID,Shab-Bidar Sakineh1

Affiliation:

1. Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), Tehran, Islamic Republic of Iran

Abstract

Background: Limited data are available on the association of major dietary patterns and predicted risk of cardiovascular disease (CVD) using the Framingham Risk Score (FRS). Aim: To investigate the association between major dietary patterns and the predicted 10-year CVD risk in an Iranian population Methods: This cross-sectional study was conducted on 522 apparently healthy adults referred to health centers in Tehran. Usual dietary intake was assessed using a validated semi-quantitative food frequency questionnaire. The association between dietary patterns and the predicted risk of development of CVD was evaluated using linear multiple regression. Principal component analysis was used to identify major dietary patterns. Results: In total, 41% of the men ( n = 95) and 46% of women ( n = 134) were in the low risk (<10%) and 6% of men ( n = 14) and 1% of women ( n = 3) were in the high risk (> 20%) category of the FRS. A significant decrease was found for body mass index ( p < 0.001), systolic blood pressure (SBP) ( p = 0.003), diastolic blood pressure ( p = 0.005), and triglyceride ( p = 0.02) in the higher tertile of healthy dietary pattern. Adherence to an unhealthy dietary pattern was associated with a significant increase in body weight ( p = 0.03) and a significant decrease in high-density lipoprotein cholesterol ( p < 0.001). The healthy dietary pattern score was negatively associated with SBP ( p = 0.04) and FRS ( p < 0.001). Conclusion: Although we observed improvements in CVD risk factors with greater adherence to healthy dietary patterns, there was no association between identified dietary patterns and the predicted risk of 10-year CVD.

Publisher

SAGE Publications

Subject

Nutrition and Dietetics,General Medicine,Medicine (miscellaneous)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3