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Predictors of preterm birth in Western Ethiopia: A case control study

BACKGROUND: Early neonatal death caused by preterm birth contributes the most for perinatal death. The prevalence of preterm birth continues to rise and is a significant public health problem. The exact cause of preterm birth is yet unanswered, as mostly preterm birth happens spontaneously. Predicto...

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Autores principales: Regasa, Misganu Teshoma, Hinkosa, Leta, Besho, Merga, Bekele, Tilahun, Bekuma, Tariku Tesfaye, Tsegaye, Reta, Hirko, Getahun Fetensa, Markos, Jote, Wakgari, Aga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026033/
https://www.ncbi.nlm.nih.gov/pubmed/33826631
http://dx.doi.org/10.1371/journal.pone.0247927
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author Regasa, Misganu Teshoma
Hinkosa, Leta
Besho, Merga
Bekele, Tilahun
Bekuma, Tariku Tesfaye
Tsegaye, Reta
Hirko, Getahun Fetensa
Markos, Jote
Wakgari, Aga
author_facet Regasa, Misganu Teshoma
Hinkosa, Leta
Besho, Merga
Bekele, Tilahun
Bekuma, Tariku Tesfaye
Tsegaye, Reta
Hirko, Getahun Fetensa
Markos, Jote
Wakgari, Aga
author_sort Regasa, Misganu Teshoma
collection PubMed
description BACKGROUND: Early neonatal death caused by preterm birth contributes the most for perinatal death. The prevalence of preterm birth continues to rise and is a significant public health problem. The exact cause of preterm birth is yet unanswered, as mostly preterm birth happens spontaneously. Predictors of preterm birth in developing countries like Ethiopia were not well investigated, and no study was conducted before this in the study area. OBJECTIVES: To identify predictors of preterm birth in Western Ethiopia, 2017/2018. METHODS: Health facility-based unmatched case-control study was conducted from October 20/2017-march 20/2018 in 4 Hospitals. A total sample size of 358 women was recruited. From this 72 were cases and 286 were controls. Cases were mothers who gave Preterm birth, and controls were mothers who gave birth at term. Ethical clearance was obtained from Wollega University ethical review committee. A pre tested, structured questionnaire was used to collect data. Data entry and analysis was done using Epi Data 3.1 and SPSS version 21, respectively. Logistic regression was done to identify predictors of preterm birth. RESULT: Three hundred fifty-eight women participated in this study of which 72 were cases and 286 were controls; making the overall response rate of 100%. Lack of antenatal care visit [AOR = 3.18, 95% CI 1.37–7.38]),(Having 1–2 antenatal care visit [AOR = 2.27, 95% CI 1.18–4.35]),history of previous preterm)[AOR = 5.19, 95% CI1.29–20.88],Short Interpregnancy Interval [AOR = 4.41.95% CI 2.05–9.47],Having Reproductive tract infections [AOR = 2.54, 95% CI 1.02–6.32] and having Obstetric complications [AOR = 2.48,95% CI 1.31–4.71] were found to be predictors of preterm birth. CONCLUSION AND RECOMMENDATION: Risk factors of preterm delivery are multifactorial and depend on geographical and demographic features of the population studied. Hence results of studies from one area might not be applicable to another area. Antenatal care visits are unique opportunities for early diagnosis and treatment of problems. Therefore, antenatal care should be strengthened, and appropriate counseling should be given at each antenatal care follow up. Maintainning optimum birth interval through family planning, and early identification and treatment of reproductive tract infections are mandatory.
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spelling pubmed-80260332021-04-15 Predictors of preterm birth in Western Ethiopia: A case control study Regasa, Misganu Teshoma Hinkosa, Leta Besho, Merga Bekele, Tilahun Bekuma, Tariku Tesfaye Tsegaye, Reta Hirko, Getahun Fetensa Markos, Jote Wakgari, Aga PLoS One Research Article BACKGROUND: Early neonatal death caused by preterm birth contributes the most for perinatal death. The prevalence of preterm birth continues to rise and is a significant public health problem. The exact cause of preterm birth is yet unanswered, as mostly preterm birth happens spontaneously. Predictors of preterm birth in developing countries like Ethiopia were not well investigated, and no study was conducted before this in the study area. OBJECTIVES: To identify predictors of preterm birth in Western Ethiopia, 2017/2018. METHODS: Health facility-based unmatched case-control study was conducted from October 20/2017-march 20/2018 in 4 Hospitals. A total sample size of 358 women was recruited. From this 72 were cases and 286 were controls. Cases were mothers who gave Preterm birth, and controls were mothers who gave birth at term. Ethical clearance was obtained from Wollega University ethical review committee. A pre tested, structured questionnaire was used to collect data. Data entry and analysis was done using Epi Data 3.1 and SPSS version 21, respectively. Logistic regression was done to identify predictors of preterm birth. RESULT: Three hundred fifty-eight women participated in this study of which 72 were cases and 286 were controls; making the overall response rate of 100%. Lack of antenatal care visit [AOR = 3.18, 95% CI 1.37–7.38]),(Having 1–2 antenatal care visit [AOR = 2.27, 95% CI 1.18–4.35]),history of previous preterm)[AOR = 5.19, 95% CI1.29–20.88],Short Interpregnancy Interval [AOR = 4.41.95% CI 2.05–9.47],Having Reproductive tract infections [AOR = 2.54, 95% CI 1.02–6.32] and having Obstetric complications [AOR = 2.48,95% CI 1.31–4.71] were found to be predictors of preterm birth. CONCLUSION AND RECOMMENDATION: Risk factors of preterm delivery are multifactorial and depend on geographical and demographic features of the population studied. Hence results of studies from one area might not be applicable to another area. Antenatal care visits are unique opportunities for early diagnosis and treatment of problems. Therefore, antenatal care should be strengthened, and appropriate counseling should be given at each antenatal care follow up. Maintainning optimum birth interval through family planning, and early identification and treatment of reproductive tract infections are mandatory. Public Library of Science 2021-04-07 /pmc/articles/PMC8026033/ /pubmed/33826631 http://dx.doi.org/10.1371/journal.pone.0247927 Text en © 2021 Regasa et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Regasa, Misganu Teshoma
Hinkosa, Leta
Besho, Merga
Bekele, Tilahun
Bekuma, Tariku Tesfaye
Tsegaye, Reta
Hirko, Getahun Fetensa
Markos, Jote
Wakgari, Aga
Predictors of preterm birth in Western Ethiopia: A case control study
title Predictors of preterm birth in Western Ethiopia: A case control study
title_full Predictors of preterm birth in Western Ethiopia: A case control study
title_fullStr Predictors of preterm birth in Western Ethiopia: A case control study
title_full_unstemmed Predictors of preterm birth in Western Ethiopia: A case control study
title_short Predictors of preterm birth in Western Ethiopia: A case control study
title_sort predictors of preterm birth in western ethiopia: a case control study
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8026033/
https://www.ncbi.nlm.nih.gov/pubmed/33826631
http://dx.doi.org/10.1371/journal.pone.0247927
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