Padrões alimentares associados a fatores de risco para doenças cardiovasculares entre residentes de um município brasileiro

Neumann, Africa Isabel Cruz Perez; Martins, Ignez Salas; Marcopito, Luiz Francisco; Araújo, Eutália Aparecida Cândido de

doi:10.1590/s1020-49892007001000006

Cited by 94 publications

(108 citation statements)

References 18 publications

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“…Dietary patterns were identified by factor analysis using Principal Component Analysis (PCA) 6,18 . First, the number of factors was given by values greater than one for variance and the number of components that remained in the screen plot whose points of maximum slope indicated the most appropriate number of retained components that would define the dietary patterns 4,6,9 .…”

Section: E T H O D Smentioning

confidence: 99%

“…First, the number of factors was given by values greater than one for variance and the number of components that remained in the screen plot whose points of maximum slope indicated the most appropriate number of retained components that would define the dietary patterns 4,6,9 . Many authors find factor analysis suitable for determining dietary patterns 2,19 .…”

Section: E T H O D Smentioning

confidence: 99%

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Identification of food intake patterns and associated factors in teenagers

et al. 2014

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OBJECTIVE: To identify schoolchildren"s dietary patterns and investigate the demographic, social, and economic determinants of the differences found between patterns. METHODS: The sample consisted of 1,330 students aged 11 to 17 years attending the public schools of Salvador, Bahia, Brazil. The subjects' food intake data were collected by a semiquantitative Food Frequency Questionnaire comprising 97 food items. All information was collected during a single interview. The exposure variables were gender, age, and socioeconomic class, and the outcome variables were categorized food consumption pattern in "mixed pattern", "traditional pattern", and "healthy pattern". The data were treated by simple and multiple linear regression analyses and the dietary patterns determined by factor analysis. RESULTS: Most participants were female (56.9%) and over 13 years old (79.2%). The "mixed pattern" was positively associated with females (β=0.181, p<0.001). The "traditional pattern" was negatively associated with classes D, C, and B (β=-0.149, p<0.007), and the "healthy pattern" was negatively associated with females (β=-0.200, p>0.0001) and classes D, C, and B (β=-0.125, p<0.023). CONCLUSION: Three dietary patterns were identified among the adolescents, namely mixed, traditional, and healthy. Gender and socioeconomic class were associated with dietary patterns. Male teenagers and those in the lower socioeconomic classes had a healthier dietary pattern than their peers of higher socioeconomic classes and females.

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Section: E T H O D Smentioning

confidence: 99%

Section: E T H O D Smentioning

confidence: 99%

Identification of food intake patterns and associated factors in teenagers

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Em seguida, foram somadas as frequências codificadas correspondentes aos alimentos efetivamente consumidos pelo indivíduo em cada grupo alimentar, o que constituiu o numerador da medida-resumo. O denominador correspondeu ao número máximo de alimentos que o indivíduo poderia consumir em cada grupo de alimentos multiplicado por 4 33 .…”

Section: Padrão De Consumo Alimentarunclassified

“…Antes de proceder à análise fatorial exploratória, o coeficiente Kaiser-Mayer-Olkin (KMO) foi estimado e o teste de esfericidade de Bartlett foi aplicado para indicar a adequação dos dados à análise 33 . Realizou-se a análise de componentes principais, seguida de uma rotação ortogonal (varimax), para examinar a estrutura (padrão) fatorial exploratória.…”

Section: Padrão De Consumo Alimentarunclassified