Low birth weight among term newborns in Wolaita Sodo town, South Ethiopia: a facility based cross-sectional study

In low income countries, many low birth weight newborns often miss the chance for survival sooner or later. Others who survive would also face increased risks in later life. Though not adequately documented in Ethiopia, maternal factors pose the main risk. This study was aimed to estimate the propor...

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Bibliographic Details
Published in:BMC pregnancy and childbirth 2018-05, Vol.18 (1), p.160-160, Article 160
Main Authors: Kastro, Samson, Demissie, Tsegaye, Yohannes, Bereket
Format: Article
Language:English
Subjects:
Adolescent
Adult
Birth weight
Childbirth & labor
Community
Cross-Sectional Studies
Diet - adverse effects
Educational Status
Ethiopia
Female
Health facilities
Health services
Humans
Infant, Low Birth Weight
Infant, Newborn
Logistic Models
Low birth weight
Maternal & child health
Maternal Nutritional Physiological Phenomena
Mothers
Newborn babies
Nutrition
Nutritional Status
Odds Ratio
Pregnancy
Prenatal care
Prenatal Care - statistics & numerical data
Public health
Questionnaires
Risk Factors
Rural Population - statistics & numerical data
Sociodemographics
Stillbirth
Term Birth
Term singletons
Urban Population - statistics & numerical data
Wolaita Sodo
Womens health
Young Adult
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Summary:In low income countries, many low birth weight newborns often miss the chance for survival sooner or later. Others who survive would also face increased risks in later life. Though not adequately documented in Ethiopia, maternal factors pose the main risk. This study was aimed to estimate the proportion of low birth weight among term singletons without congenital malformations and factors associated with it in Wolaita Sodo town in South Ethiopia. We did a facility based survey involving 432 postpartum women with their term newborns. Data was collected through face to face interview from March to April in 2016. The outcome measure was newborn birth weight. Bivariate logistic regression was applied to look for crude associations. Multivariate logistic regression analysis was done to adjust for potential confounders to identify independent predictors. Adjusted Odds Ratio (AOR) and 95% confidence intervals (CI), and statistical significance at P 
ISSN:1471-2393
1471-2393
DOI:10.1186/s12884-018-1789-y