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ABSTRACT: Objective
The aim of the current study is to analyse the trends, determinants of prelacteal feeding (PLF) and its relations with the mode of delivery among infants <24 months over the years 2003-2018.Design
We pooled data from Turkey Demographic and Health Surveys (TDHS). The key outcome variable was PLF. Factors associated with PLF were analysed by using complex sample multiple logistic regression analysis, separately and merged database.Setting
TDHS in 2003, 2008, 2013 and 2018.Participants
Mother-infant dyads (n 4942).Results
PLF rates fluctuated between 29·3 and 41·4 %. The most common types of PLF were infant formula (61·1 %) followed by sugar/glucose water (24·9 %) and plain water (9·3 %). PLF rate was 1·51 times higher (95 % CI 1·28, 1·78) in cases delivered by caesarean section as compared with those delivered by vaginal route. According to the initiation time of breast-feeding after delivery, the most significant absolute change in PLF rate was observed within 1 h (10·9 % increase). Delayed initiation of breast-feeding was associated with significantly higher odds of PLF compared with the first hour (1 to < 2 h: adjusted OR (AOR) 1·29, 95 % CI 1·04, 1·61; 2-23 h: AOR 1·73, 95 % CI 1·42, 2·11; ≥24 h: AOR 11·37, 95 % CI 8·81, 14·69).Conclusions
To eliminate suboptimal breast-feeding practices, counselling on breast-feeding and delivery type during antenatal visits, postnatal breast-feeding support and social support should be provided to all mothers and families.
SUBMITTER: Yalcın SS
PROVIDER: S-EPMC10200566 | biostudies-literature | 2020 Dec
REPOSITORIES: biostudies-literature
Yalçın Sıddıka Songül SS Çaylan Nilgün N Yalçın Suzan S Eryurt Mehmet Ali MA
Public health nutrition 20200805 18
<h4>Objective</h4>The aim of the current study is to analyse the trends, determinants of prelacteal feeding (PLF) and its relations with the mode of delivery among infants <24 months over the years 2003-2018.<h4>Design</h4>We pooled data from Turkey Demographic and Health Surveys (TDHS). The key outcome variable was PLF. Factors associated with PLF were analysed by using complex sample multiple logistic regression analysis, separately and merged database.<h4>Setting</h4>TDHS in 2003, 2008, 2013 ...[more]