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Public Health Nutr ; 21(13): 2462-2470, 2018 09.
Article in English | MEDLINE | ID: mdl-29697043

ABSTRACT

OBJECTIVE: The present study aimed to describe breast-feeding, complementary feeding and determining factors for early complementary feeding from birth to 8 months of age in a typical Brazilian low-income urban community. DESIGN: A birth cohort was conducted (n 233), with data collection twice weekly, allowing close observation of breast-feeding, complementary feeding introduction and description of the WHO core indicators on infant and young child feeding. Infant feeding practices were related to socio-economic status (SES), assessed by Water/sanitation, wealth measured by a set of eight Assets, Maternal education and monthly household Income (WAMI index). Two logistic regression models were constructed to evaluate risk factors associated with early complementary feeding. RESULTS: Based on twice weekly follow-up, 65 % of the children received exclusive breast-feeding in the first month of life and 5 % in the sixth month. Complementary feeding was offered in the first month: 29 % of the children received water, 15 % infant formulas, 13 % other milks and 9·4 % grain-derived foods. At 6 months, dietary diversity and minimum acceptable diet were both 47 % and these increased to 69 % at 8 months. No breast-feeding within the first hour of birth was a risk factor for the early introduction of water (adjusted OR=4·68; 95 % CI 1·33, 16·47) and low WAMI index a risk factor for the early introduction of other milks (adjusted OR=0·00; 95 % CI 0·00, 0·02). CONCLUSIONS: Data suggest local policies should promote: (i) early breast-feeding initiation; (ii) SES, considering maternal education, income and household conditions; (iii) timely introduction of complementary feeding; and (iv) dietary diversity.


Subject(s)
Diet/statistics & numerical data , Feeding Behavior , Infant Food/statistics & numerical data , Poverty/statistics & numerical data , Urban Population/statistics & numerical data , Brazil , Breast Feeding/statistics & numerical data , Cohort Studies , Female , Humans , Infant , Infant Nutritional Physiological Phenomena , Infant, Newborn , Male , Socioeconomic Factors , Time Factors
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