A comparison of three statistical methods applied in the identification of eating patterns

Cadernos de Saúde Pública

Diana Barbosa Cunha²  Renan Moritz Varnier Rodrigues De Almeida¹  Rosângela Alves Pereira² 

[1] ,Universidade Federal do Rio de Janeiro Instituto de Nutrição Josué de Castro Rio de Janeiro,Brasil

关键词: Food Consumption;    Food Habits;    Statistical Factor Analysis;    Consumo de Alimentos;    Hábitos Alimentares;    Análise Fatorial;   

DOI  :  10.1590/S0102-311X2010001100015

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License