Cargando…
Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia
BACKGROUND: Despite 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...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604312/ https://www.ncbi.nlm.nih.gov/pubmed/31262264 http://dx.doi.org/10.1186/s12884-019-2379-3 |
_version_ | 1783431685457575936 |
---|---|
author | Tela, Freweini Gebrearegay Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tekola, Kidanemariam Berhe |
author_facet | Tela, Freweini Gebrearegay Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tekola, Kidanemariam Berhe |
author_sort | Tela, Freweini Gebrearegay |
collection | PubMed |
description | BACKGROUND: Despite 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. METHODS: An 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. RESULTS: The 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). CONCLUSION: We 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. |
format | Online Article Text |
id | pubmed-6604312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-66043122019-07-12 Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia Tela, Freweini Gebrearegay Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tekola, Kidanemariam Berhe BMC Pregnancy Childbirth Research Article BACKGROUND: Despite 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. METHODS: An 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. RESULTS: The 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). CONCLUSION: We 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. BioMed Central 2019-07-01 /pmc/articles/PMC6604312/ /pubmed/31262264 http://dx.doi.org/10.1186/s12884-019-2379-3 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tela, Freweini Gebrearegay Bezabih, Afework Mulugeta Adhanu, Amaha Kahsay Tekola, Kidanemariam Berhe Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title | Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title_full | Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title_fullStr | Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title_full_unstemmed | Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title_short | Fetal macrosomia and its associated factors among singleton live-births in private clinics in Mekelle city, Tigray, Ethiopia |
title_sort | fetal macrosomia and its associated factors among singleton live-births in private clinics in mekelle city, tigray, ethiopia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6604312/ https://www.ncbi.nlm.nih.gov/pubmed/31262264 http://dx.doi.org/10.1186/s12884-019-2379-3 |
work_keys_str_mv | AT telafreweinigebrearegay fetalmacrosomiaanditsassociatedfactorsamongsingletonlivebirthsinprivateclinicsinmekellecitytigrayethiopia AT bezabihafeworkmulugeta fetalmacrosomiaanditsassociatedfactorsamongsingletonlivebirthsinprivateclinicsinmekellecitytigrayethiopia AT adhanuamahakahsay fetalmacrosomiaanditsassociatedfactorsamongsingletonlivebirthsinprivateclinicsinmekellecitytigrayethiopia AT tekolakidanemariamberhe fetalmacrosomiaanditsassociatedfactorsamongsingletonlivebirthsinprivateclinicsinmekellecitytigrayethiopia |