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São Paulo med. j ; 136(6): 533-542, Nov.-Dec. 2018. tab, graf
Article in English | LILACS | ID: biblio-991694

ABSTRACT

ABSTRACT BACKGROUND: Exclusive breastfeeding for six months is one of the measures with highest impact on prevention of child deaths. The determinants of breastfeeding practices are complex and differ between populations. This study aimed to identify factors associated with the prevalence of exclusive breastfeeding in a suburban area in Angola. DESIGN AND SETTING: Population-based cross-sectional study in the municipality of Cacuaco, Luanda. METHODS: A random sample of children under two years of age and their mothers was included. ­Prevalence ratios (PR) were estimated using Poisson regression based on a hierarchical model. RESULTS: 749 children and their mothers were surveyed, including 274 children under six months. Theprevalence of exclusive breastfeeding among children under six months was 51.5% (95% confidence interval, CI, 46.3-56.6%). Four variables were positively associated with exclusive breastfeeding at ages of under six months: number of prenatal visits (PR 1.11 for each visit after the first one; 95% CI 1.04-1.18), maternal occupation (other occupations versus self-employed) (PR 1.54; 95% CI 1.05-2.26), younger child age (PR 0.77 for each month; 95% CI 0.71-0.84) and female child (PR 1.34; 95% CI 1.02-1.76). CONCLUSIONS: Our findings showed that the prevalence of exclusive breastfeeding at six months was satisfactory, according to international recommendations. Factors associated with exclusive breastfeeding practices that had never been surveyed before in Angola were identified through this study. These data are particularly relevant in the context of high infant mortality and may be useful in planning actions aimed at improving child health through promotion of exclusive breastfeeding, in Angola and other countries.


Subject(s)
Humans , Male , Female , Infant, Newborn , Infant , Suburban Population/statistics & numerical data , Breast Feeding/statistics & numerical data , Mothers/statistics & numerical data , Cross-Sectional Studies , Maternal Age , Angola
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