Department of Community Nutrition, School of Nutritional Sciences and Dietetics, 48439Tehran University of Medical Sciences (TUMS), Tehran, Islamic Republic of Iran.
Nutr Health. 2021 Mar;27(1):27-37. doi: 10.1177/0260106020952591. Epub 2020 Aug 31.
Limited data are available on the association of major dietary patterns and predicted risk of cardiovascular disease (CVD) using the Framingham Risk Score (FRS).
To investigate the association between major dietary patterns and the predicted 10-year CVD risk in an Iranian population.
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.
In total, 41% of the men ( = 95) and 46% of women ( = 134) were in the low risk (<10%) and 6% of men ( = 14) and 1% of women ( = 3) were in the high risk (> 20%) category of the FRS. A significant decrease was found for body mass index ( < 0.001), systolic blood pressure (SBP) ( = 0.003), diastolic blood pressure ( = 0.005), and triglyceride ( = 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 ( = 0.03) and a significant decrease in high-density lipoprotein cholesterol ( < 0.001). The healthy dietary pattern score was negatively associated with SBP ( = 0.04) and FRS ( < 0.001).
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.
使用弗雷明汉风险评分(FRS),关于主要饮食模式与心血管疾病(CVD)预测风险之间的关联,可用的数据有限。
在伊朗人群中,调查主要饮食模式与预测的 10 年 CVD 风险之间的关系。
这项横断面研究在德黑兰健康中心就诊的 522 名看似健康的成年人中进行。使用经过验证的半定量食物频率问卷评估习惯性饮食摄入。使用线性多元回归评估饮食模式与 CVD 发展预测风险之间的关联。使用主成分分析确定主要饮食模式。
总共有 41%的男性(=95)和 46%的女性(=134)处于 FRS 的低风险(<10%),6%的男性(=14)和 1%的女性(=3)处于高风险(>20%)类别。健康饮食模式的三分位较高者,体重指数(<0.001)、收缩压(SBP)(=0.003)、舒张压(=0.005)和甘油三酯(=0.02)显著降低。不健康饮食模式的依从性与体重显著增加(=0.03)和高密度脂蛋白胆固醇显著降低(<0.001)相关。健康饮食模式评分与 SBP(=0.04)和 FRS(<0.001)呈负相关。
尽管我们观察到随着健康饮食模式的依从性增加,CVD 风险因素得到改善,但所确定的饮食模式与 10 年 CVD 的预测风险之间没有关联。