ArticleBMC pregnancy and childbirth2019
Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia.
Article in BMC pregnancy and childbirth, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 24 papers, 3 of them syntheses that pooled it.
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24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 35 citations in OpenAlex.
- Prevalence of fetal macrosomia and associated factors among delivered neonates in Ethiopia: a systematic review and meta-analysis.BMC pregnancy and childbirth · 2026Pooled it
- Prevalence, risk factors and outcomes of macrosomia in Africa: a systematic review and meta-analysis.BMJ open · 2026Pooled it
- Gestational weight gain and its effect on birth outcomes in sub-Saharan Africa: Systematic review and meta-analysis.PloS one · 2020Pooled it
- Machine Learning-Based Prediction of Fetal Macrosomia Using Maternal: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Predicting abnormal birth weight and identifying associated factors using machine learning in the Hararghe Health and Demographic Surveillance System, Ethiopia.BMC public health · 2026Article
- Analysis of early morbidity and outcomes in macrosomic newborns.BMC pregnancy and childbirth · 2026Article
- Vaginal versus caesarean delivery in fetal macrosomia-a retrospective cohort study.Wiener medizinische Wochenschrift (1946) · 2026Article
- Maternal overweight and obesity among pregnant women in public hospitals of eastern Ethiopia: Multicentre cross-sectional study.SAGE open medicine · 2026Article
- Prevalence and determinants of macrosomia in low- and middle-income countries: a multilevel analysis of population survey data from 44 nations.Maternal health, neonatology and perinatology · 2025Article
- Estimated effect of teenage pregnancy on adverse birth outcome in Sub-Saharan African countries: propensity score matching analysis of recent demographic and health survey data.BMC pregnancy and childbirth · 2025Article
- Associations of macrosomia with sociodemographic, anthropometric, lifestyle factors and perinatal outcomes in Southwest Nigeria.BMC pediatrics · 2025Article
- Factors associated with Macrosomia in public hospitals of Mekelle City, Northern Ethiopia: A multi-center study.PloS one · 2025Article
- Determinants of macrosomia among newborns delivered in Jigjiga City, Eastern Ethiopia: a case-control study.Maternal health, neonatology and perinatology · 2024Article
- Prevalence and determinants of fetal macrosomia in Bangladesh.Frontiers in pediatrics · 2024Article
- Observational
- Determinants of macrosomia among newborns delivered in northwest Ethiopia: a case-control study.The Journal of international medical research · 2022Article
- Umbilical Cord Biometry and Fetal Abdominal Skinfold Assessment as Potential Biomarkers for Fetal Macrosomia in a Gestational Diabetes Romanian Cohort.Medicina (Kaunas, Lithuania) · 2022Article
- Article
- Determinants of fetal macrosomia among live births in southern Ethiopia: a matched case-control study.BMC pregnancy and childbirth · 2022Article
- Management of neonatal complications of macrosomia: A case report at a tertiary hospital in a developing country.Clinical case reports · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDespite an increased number of infants born with macrosomia globally, low birth weight infants have currently attracted more attention. Macrosomia is a growing problem in most developing countries and it directly or indirectly contributes to morbidity, mortality, and disability worldwide. The main objective of this study was to assess the level of macrosomia and its associated factors in the private clinics of Mekelle city, Tigray region, Ethiopia, 2017.
methodsAn institution based cross-sectional study with a total of 309 pregnant mothers was conducted. We collected data from the pregnant mothers as well as from their medical records using structured questionnaire and checklist respectively. We entered and analyzed the data using statistical package for social science (SPSS)-21 by applying binary logistic regression to identify the factors associated with macrosomia. Finally, we used texts and tables to summarize the results of the study.
resultsThe prevalence of macrosomia was 19.1% (95% confidence interval (CI) = 14.9, 23), and the mean ± standard deviations of birth weights were 3440 ± 543 g. Macrosomia was significantly associated with: weight gain during pregnancy ≥16 kg (adjusted odds ratio (AOR) = 11, 95% CI: 3, 37), pre-pregnancy overweight (AOR = 5, 95% CI = 2, 13), pre-pregnancy obesity (AOR = 15, 95% CI = 5, 50), maternal age (AOR =2.6, 95% CI = 1.2, 5.8) and giving birth to macrosomic baby in the last pregnancy (AOR = 2.7, 95% CI = 1.1, 7).
conclusionWe found that prevalence of macrosomia was high, and significantly associated with pre-pregnancy body mass index (BMI), pregnancy weight gain, maternal age and giving birth to a macrosomic baby in the last pregnancy. Hence, we recommend that emphasis should be given to maternal counseling for weight management before and during pregnancy.
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