ArticleAfrican health sciences2020
A study of low birth weight prevalence and risk factors among newborns in a public-hospital at Kilis, Turkey.
Article in African health sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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8 citing papers in PubMed, 19 citations in OpenAlex.
- Machine learning based prediction of low birth weight and its associated risk factors: Insights from the Bangladesh Demographic and Health Survey 2022.PLOS global public health · 2025Article
- Effect of homemade peanut oil consumption during pregnancy on low birth weight and preterm birth outcomes: a cohort study in Southwestern China.Global health action · 2024Article
- Prediction and feature selection of low birth weight using machine learning algorithms.Journal of health, population, and nutrition · 2024Article
- Perinatal factors and early neonatal outcomes of abnormal birthweight infants in Hangzhou, China, 2015-2021: a retrospective cohort study.BMJ paediatrics open · 2024Article
- Regional with urban-rural variation in low birth weight and its determinants of Indian children: findings from National Family Health Survey 5 data.BMC pregnancy and childbirth · 2023Article
- Caesarean Section Delivery Is Associated with Childhood Overweight and Obesity, Low Childbirth Weight and Postnatal Complications: A Cross-Sectional Study.Medicina (Kaunas, Lithuania) · 2023Article
- Antenatal care utilization on low birth weight children among women with high-risk births.F1000Research · 2023Article
- The impact of excessive caesarean deliveries on gestational age at birth in Mexico: National-level trends, 2010-2023.Women's health (London, England)Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
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Abstract
backgroundLow birth weight (LBW) is an important indicator of reproductive health and general health status of population.
objectivesThe present study was aimed to estimate the prevalence of low birth weight (LBW), and to investigate the associations between some risk factors and LBW in Syrian refugee and Turkish population in Kilis, Turkey.
methodsThe population of this study constituted of a total of 4379 infants born in Kilis State Hospital in 2016 using a retrospective cross-sectional study design. The data were collected from birth records. The data were analyzed using SPSS version 16.0. Binary logistic regression analysis was performed to identify predictors of low birth weight. Factors with a p-value < 0.05 were deemed to be statistically significant.
resultsThe prevalence of LBW was 6.7% in all groups. Significant relationships were found between young maternal age, Syrian refugee mother, female infants, cesarean delivery and LBW.
conclusionThe prevalence of low birth weight in the study area was comparatively lower than that of countrywide figure. Maternal related variables like, maternal age, mother's nationality, and mode of birth (vaginal, cesarean) take after up as well as new-born related variables like gender of the neonate were significantly related with low birth weight.
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