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Rev Salud Publica (Bogota) ; 13(3): 386-97, 2011 Jun.
Article in Portuguese | MEDLINE | ID: mdl-22030992

ABSTRACT

OBJECTIVE: Examining the relationship between family income and daily b-carotene, vitamin C and vitamin E consumption amongst children in the city of João Pessoa / PB, Brazil. METHOD: One hundred and eighty-three children aged 2 to <10 years were evaluated, in a sample stratified by income level which was representative of the population of Joao Pessoa. The research instrument consisted of questionnaires addressing socio-economic, demographic, epidemiological, anthropometric and food consumption variables. The results were analysedby using R software, using descriptive (mean, median, standard-deviation, simple and relative frequency and percentage) and inferential statistics (correlation and regression). RESULTS: Participants were predominantly male (55 %) from income classes E (up to US$ 428.64) and C (> US$ 622.31-US$ 2,682.93) and mothers who had studied for nine years or more. Regarding vitamin intake, there was low vitamin C inadequacy (8 %) and high vitamin E inadequacy (59 %), the latter being more frequent in the 4-8 year-old age group (33 % of children). There was an inverse correlation between income and energy intake (r=-0.1525, p<0.05) and between income and vitamin E consumption (r=-0.3, p<0.05). The relationship between income and maternal education (p<0.05), between income and b-carotene consumption and between income and vitamin C consumption was significantly positive (r=0.33 and r=0.28, respectively, p<0.05). CONCLUSION: It was concluded that consuming vitamins having antioxidant properties was positively related to family income regarding vitamin C and b-carotene and negatively related regarding vitamin E and calories.


Subject(s)
Ascorbic Acid , Diet/economics , Feeding Behavior , Income , Vitamin E , beta Carotene , Antioxidants , Body Mass Index , Brazil , Child , Cross-Sectional Studies , Educational Status , Energy Intake , Female , Humans , Male , Mothers/statistics & numerical data , Urban Population
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