Author(s): Corrente, José Eduardo [UNESP] ; Trombacco, Rafaela Vitória Barbosa [UNESP] ; Fumes-Ghantous, Giovana ; Papini, Silvia Justina [UNESP] ; Nunes, Patrícia Moraes Ferreira
Date: 2020
Persistent ID: http://hdl.handle.net/11449/200976
Origin: Oasisbr
Subject(s): Body mass index; Confirmatory factor analysis; Exploratory factor analysis; Food frequency questionnaire; Obesity; Structural equation models
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Introduction: in the Brazilian population it is noted that obesity is increasing in all ages, particularly in the elderly, due to changes in habits and the consumption of foods with high energy density. The objective of this study was to reanalyze the data from a Food Frequency Questionnaire (FFQ) in order to obtain new food patterns from the elderly population. Methods: sociodemographic data, morbidities, and Food Frequency Questionnaire (FFQ) results were collected from a representative sample of 355 elderly in the city of Botucatu, São Paulo, Brazil, and stratified by Basic Health Unit in the municipality. The data from the FFQ were transformed into daily consumption, and only foods with an intake of at least 40 % were included in the analysis. Eating patterns were obtained by means of an exploratory and confirmatory factor analysis using the principal component method, associating them with obesity and demographic variables obtained via structural equation models (SEMs). Results: with the data from the FFQ, four eating patterns were obtained using the exploratory and confirmatory factor analysis: healthy, tra-ditional, snacks and weekend meals, and mild diet. Using SEMs and considering general obesity as measured by the body mass index (BMI), being female, younger, hypertensive, diabetic, and having lower adherence to the traditional pattern increases BMI. Additionally, using SEMs and considering central obesity as measured by waist circumference (WC), being hypertensive or diabetic, and having a lower adherence to the traditional pattern increases WC. Conclusion: removing excess zeroes from FFQ data it was possible to obtain well-defined eating patterns using the exploratory and confirmatory analysis, and to associate them with obesity through SEMs.
Biostatistics Department Bioscience Institute Universidade Estadual Paulista – UNESP
Statistics Department Faculty of Science and Technology Universidade Estadual Paulista – UNESP
Basic Sciences Department Faculty of Animal Science and Food Engineering Universidade de São Paulo
Nursing Department Botucatu School of Medicine Universidade Estadual Paulista – UNESP
Nutrition Department Multivix Faculty
Biostatistics Department Bioscience Institute Universidade Estadual Paulista – UNESP
Statistics Department Faculty of Science and Technology Universidade Estadual Paulista – UNESP
Nursing Department Botucatu School of Medicine Universidade Estadual Paulista – UNESP
FAPESP: 2010/12366
CNPq: 302903/2017-8
