Identification of dietary patterns using factor analysis in an epidemiological study in São Paulo

Sao Paulo Medical Journal

Dirce Maria Lobo Marchioni²  Maria Do Rosário Dias De Oliveira Latorre¹  José Eluf-neto¹  Victor Wünsch-filho¹  Regina Mara Fisberg¹ 

[1],Universidade de São Paulo Faculdade de Saúde Pública Department of NutritionSão Paulo,Brazil

关键词: Food habits;    Diet;    Diet surveys;    Feeding behavior;    Nutritional assessment;    Hábitos alimentares;    Dieta;    Inquéritos sobre dietas;    Avaliação nutricional;    Conduta na alimentação;   

DOI  :  10.1590/S1516-31802005000300007

来源: SciELO

【 摘 要 】

CONTEXT AND OBJECTIVE: Diet and nutrition are environmental factors in health/disease relationships. From the epidemiological viewpoint, diet represents a complex set of highly correlated exposures. Our objective was to identify patterns of food intake in a group of individuals living in São Paulo, and to develop objective dietary measurements for epidemiological purposes. DESIGN AND LOCAL: Exploratory factor analysis of data in a case-control study in seven teaching hospitals in São Paulo. METHODS: The participants were 517 patients (260 oral cancer cases and 257 controls) admitted to the study hospitals between November 1998 and March 2001. The weekly intake frequencies for dairy products, cereals, meat, processed meat, vegetables, pulses, fruits and sweets were assessed by means of a semi-quantitative food frequency questionnaire. Dietary patterns were identified by factor analysis, based on the intake of the eight food groups, using principal component analysis as an extraction method followed by varimax rotation. RESULTS: Factor analysis identified three patterns that accounted for 55% of the total variability within the sample. The first pattern ("prudent") was characterized by vegetable, fruit and meat intake; the second ("traditional") by cereals (mainly rice) and pulses (mainly beans); and the third ("snacks") by dairy products and processed meat. CONCLUSION: This study identified food intake patterns through an a posteriori approach. Such analysis may be useful for nutritional intervention programs and, after computing scores for each individual according to the patterns identified, for establishing a relationship between diet and other epidemiological measurements of interest.

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