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美国健康成年人中与心血管疾病危险因素相关的饮食模式。

Dietary patterns associated with risk factors for cardiovascular disease in healthy US adults.

作者信息

Kerver Jean M, Yang Eun Ju, Bianchi Leonard, Song Won O

机构信息

Food and Nutrition Database Research Center, Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI 48824, USA.

出版信息

Am J Clin Nutr. 2003 Dec;78(6):1103-10. doi: 10.1093/ajcn/78.6.1103.

Abstract

BACKGROUND

Certain nutrients are well established as dietary risk factors for cardiovascular disease (CVD), but dietary patterns may be a better predictor of CVD risk.

OBJECTIVE

This study tested the hypothesis that the complex dietary behaviors of US adults can be grouped into major dietary patterns that are related to risk factors for CVD.

DESIGN

With the use of food-frequency questionnaire data from the third National Health and Nutrition Examination Survey, dietary patterns of healthy US adults (>/or =20 y old; n = 13 130) were identified by factor analysis. Log-transformed biomarker data were associated with major dietary patterns after control for confounding variables in regression analyses. All statistical analyses accounted for the survey design and sample weights.

RESULTS

Of 6 dietary patterns identified, 2 patterns emerged as the most predominant: the Western pattern was characterized by high intakes of processed meats, eggs, red meats, and high-fat dairy products, and the American-healthy pattern was characterized by high intakes of green, leafy vegetables; salad dressings; tomatoes; other vegetables (eg, peppers, green beans, corn, and peas); cruciferous vegetables; and tea. The Western pattern was associated (P < 0.05) positively with serum C-peptide, serum insulin, and glycated hemoglobin and inversely with red blood cell folate concentrations after adjustment for confounding variables. The American-healthy pattern had no linear relation with any of the biomarkers examined.

CONCLUSIONS

The identification of common dietary patterns among free-living persons is promising for characterizing high-risk groups at the US population level. The dietary patterns identified here are similar to those reported in other nonrepresentative samples and are associated with biomarkers of CVD risk, which confirms that dietary pattern analysis can be a valuable method for assessing dietary intakes when predicting CVD risk.

摘要

背景

某些营养素已被确认为心血管疾病(CVD)的饮食风险因素,但饮食模式可能是CVD风险的更好预测指标。

目的

本研究检验了以下假设,即美国成年人的复杂饮食行为可分为与CVD风险因素相关的主要饮食模式。

设计

利用第三次全国健康与营养检查调查的食物频率问卷数据,通过因子分析确定美国健康成年人(≥20岁;n = 13130)的饮食模式。在回归分析中对混杂变量进行控制后,将经对数转换的生物标志物数据与主要饮食模式相关联。所有统计分析均考虑了调查设计和样本权重。

结果

在确定的6种饮食模式中,有2种模式最为突出:西方模式的特点是加工肉类、蛋类、红肉和高脂乳制品摄入量高,而美国健康模式的特点是绿叶蔬菜、沙拉酱、西红柿、其他蔬菜(如辣椒、四季豆、玉米和豌豆)、十字花科蔬菜和茶的摄入量高。调整混杂变量后,西方模式与血清C肽、血清胰岛素和糖化血红蛋白呈正相关(P < 0.05),与红细胞叶酸浓度呈负相关。美国健康模式与所检测的任何生物标志物均无线性关系。

结论

识别自由生活人群中的常见饮食模式对于在美国人群层面确定高危人群很有前景。这里确定的饮食模式与其他非代表性样本中报告的模式相似,并且与CVD风险的生物标志物相关,这证实了饮食模式分析在预测CVD风险时可作为评估饮食摄入量的一种有价值的方法。

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