Defining Behavior Patterns Towards Exclusive Breastfeeding Using Latent Class Analysis
Author(s) -
Pryscila de Argolo Cerqueira,
Leila Denise Alves Ferreira Amorim,
Tatiana de Oliveira Vieira,
Janaína Silva Dias,
Heli Vieira Brandão,
Graciete Oliveira Vieira
Publication year - 2017
Publication title -
journal of pediatrics review
Language(s) - English
Resource type - Journals
eISSN - 2322-4401
pISSN - 2322-4398
DOI - 10.5812/jpr.10575
Subject(s) - latent class model , breastfeeding , class (philosophy) , psychology , developmental psychology , computer science , artificial intelligence , medicine , machine learning , pediatrics
Background: The interruption of exclusive breastfeeding (EBF) is worrying. This study aimed to identify behavior patterns towards EBF among mothers and health professionals. Methods: This is a cross-sectional analysis of a cohort consisting of 1309 women. We used latent class analysis (LCA), considering 15 indicators for defining 4 constructs: maternal emotional state, availability to breastfeed, maternal attitude, and health professional’s attitude towards breastfeeding. Results: Among mothers, 36.5% were classified as being in an unfavorable emotional state; they presented a higher probability of feeling tired, nervous, and sad; 14.7% had less availability to breastfeed and a higher probability of including primiparous and partners not helping to care for the child; 41.5% had negative attitude towards breastfeeding, including mothers more likely to give a pacifier and bottle. Among health professionals, 62.0% were categorized with unfavorable attitude towards breastfeeding, not providing guidance on breastfeeding in the hospital. Conclusions: LCA enabled us to characterize behavior types with regards to EBF.
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