Comparison of 3 methods for identifying dietary patterns associated with risk of disease
Authors
DiBello, Julia R.Kraft, Peter
McGarvey, Stephen T.
Goldberg, Robert J.
Campos, Hannia
Baylin, Ana
UMass Chan Affiliations
Department of Medicine, Division of Cardiovascular MedicineDocument Type
Journal ArticlePublication Date
2008-10-24Keywords
Confidence IntervalsCosta Rica
Diet Surveys
Female
Food Habits
Humans
Incidence
Male
Middle Aged
Myocardial Infarction
Odds Ratio
Population Surveillance
Retrospective Studies
Risk Factors
Bioinformatics
Biostatistics
Epidemiology
Health Services Research
Metadata
Show full item recordAbstract
Reduced rank regression and partial least-squares regression (PLS) are proposed alternatives to principal component analysis (PCA). Using all 3 methods, the authors derived dietary patterns in Costa Rican data collected on 3,574 cases and controls in 1994-2004 and related the resulting patterns to risk of first incident myocardial infarction. Four dietary patterns associated with myocardial infarction were identified. Factor 1, characterized by high intakes of lean chicken, vegetables, fruit, and polyunsaturated oil, was generated by all 3 dietary pattern methods and was associated with a significantly decreased adjusted risk of myocardial infarction (28%-46%, depending on the method used). PCA and PLS also each yielded a pattern associated with a significantly decreased risk of myocardial infarction (31% and 23%, respectively); this pattern was characterized by moderate intake of alcohol and polyunsaturated oil and low intake of high-fat dairy products. The fourth factor derived from PCA was significantly associated with a 38% increased risk of myocardial infarction and was characterized by high intakes of coffee and palm oil. Contrary to previous studies, the authors found PCA and PLS to produce more patterns associated with cardiovascular disease than reduced rank regression. The most effective method for deriving dietary patterns related to disease may vary depending on the study goals.Source
Am J Epidemiol. 2008 Dec 15;168(12):1433-43. Epub 2008 Oct 22. Link to article on publisher's siteDOI
10.1093/aje/kwn274Permanent Link to this Item
http://hdl.handle.net/20.500.14038/47203PubMed ID
18945692Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1093/aje/kwn274