Journal
CADERNOS DE SAUDE PUBLICA
Volume 26, Issue 11, Pages 2138-2148Publisher
CADERNOS SAUDE PUBLICA
DOI: 10.1590/S0102-311X2010001100015
Keywords
Food Consumption; Food Habits; Statistical Factor Analysis
Categories
Funding
- National Reasearch Council (CNPq) [503139, 2003-3]
- National Cancer Institute of Brazil
- Graduate Studies Coordinating Board (CAPES)
Ask authors/readers for more resources
This work aimed to compare the results of three statistical methods applied in the identification of dietary patterns. Data from 1,009 adults between the ages of 20 and 65 (339 males and 670 females) were collected in a population-based cross-sectional survey in the Metropolitan Region of Rio de Janeiro, Brazil. Information on food consumption was obtained using a semi-quantitative food frequency questionnaire. A factor analysis, cluster analysis, and reduced rank regression (RRR) analysis were applied to identify dietary patterns. The patterns identified by the three methods were similar. The factor analysis identified mixed, Western, and traditional eating patterns and explained 35% of the data variance. The cluster analysis identified mixed and traditional patterns. In the RRR, the consumption of carbohydrates and lipids were included as response variables and again mixed and traditional patterns were identified. Studies comparing these methods can help to inform decisions as to which procedures best suit a specific research scenario.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available