Can dietary patterns help us detect diet-disease associations?

被引：207

作者：

Michels, KB ^{[1
]}

Schulze, MB

机构：

[1] Harvard Univ, Brigham & Womens Hosp, Sch Med, Obstet & Gynecol Epidemiol Ctr, Boston, MA 02115 USA

[2] Harvard Univ, Sch Publ Hlth, Dept Epidemiol, Boston, MA 02115 USA

[3] German Inst Nutr Potsdam Rehbruecke, Dept Epidemiol, Nuthetal, Germany

来源：

NUTRITION RESEARCH REVIEWS | 2005年 / 18卷 / 02期

基金：

美国国家卫生研究院;

关键词：

dietary patterns; epidemiology; factor analysis; principal components; cluster analysis; dietary composition;

D O I：

10.1079/NRR2005107

中图分类号：

R15 [营养卫生、食品卫生]; TS201 [基础科学];

学科分类号：

100403 ;

摘要：

The role of diet in promoting health and preventing disease is difficult to elucidate due to its complex network of foods and nutrients. Besides total energy intake, dietary composition is probably the most important discriminator within and between populations. Dietary composition is reflected in dietary patterns, which have recently gained popularity. The present paper reviews the most commonly applied methods to identify dietary patterns, data-driven methods such as factor and cluster analysis, investigator-driven methods such as indices and score, and methods combining the two, namely reduced rank regression. We describe the techniques and their application, discuss strengths and limitations, and discuss the usefulness of dietary pattern analyses.

引用

页码：241 / 248

页数：8

共 58 条

[31] Measurement of fruit and vegetable consumption with diet questionnaires and implications for analyses and interpretation [J].