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Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study
OBJECTIVES: To review the demographics and socioeconomic determinants of preterm birth (PTB) compared to term births among the Qatari population. METHODS: This was a retrospective data analysis of 59,308 births. Data were retrieved from a Population-based Cohort Study. Data were gathered from the PE...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Mattioli 1885
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343749/ https://www.ncbi.nlm.nih.gov/pubmed/34212910 http://dx.doi.org/10.23750/abm.v92i3.11292 |
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author | Salama, Elsayed Ibrahim Ali Salama, Husam Al-Obaidly, Sawsan Hassan |
author_facet | Salama, Elsayed Ibrahim Ali Salama, Husam Al-Obaidly, Sawsan Hassan |
author_sort | Salama, Elsayed Ibrahim Ali |
collection | PubMed |
description | OBJECTIVES: To review the demographics and socioeconomic determinants of preterm birth (PTB) compared to term births among the Qatari population. METHODS: This was a retrospective data analysis of 59,308 births. Data were retrieved from a Population-based Cohort Study. Data were gathered from the PEARL-Peristat maternal newborn registry for 2011, 2012, 2017, and 2018. We compared the preterm births group (delivery < 37 weeks) with the term group (delivery ≥ 37 weeks) regarding socioeconomic factors, including maternal nationality, religion, level of education, mother’s occupation, family income, housing, consanguinity, early childbearing, high-risk pregnancy, smoking, assisted conception, antenatal care, and place of delivery. RESULTS: The prevalence of preterm birth was 9%. There were more Saudi nations in the preterm group compared to term (33% vs. 28%, p-value < 0.001). There were more preterm births than term births among working mothers (40% vs. 35%), high-risk pregnancies (24% vs. 18%), those that has used assisted conception (18% vs. 3%), those without antenatal care (11% vs. 5.6%), and those delivered in a tertiary women hospital (88.5% vs. 84.5%) (all p-values < 0.001). There were more women living in villas (41% vs. 38%, p = 0.01) and more smokers (0.8% vs. 0.5%, p = 0.030) in the preterm group than in the term group. There were no differences between the two groups regarding religion, level of maternal education, family income, and early childbearing. CONCLUSION: In our population, we identified several factors associated with preterm births. (www.actabiomedica.it) |
format | Online Article Text |
id | pubmed-8343749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Mattioli 1885 |
record_format | MEDLINE/PubMed |
spelling | pubmed-83437492021-08-23 Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study Salama, Elsayed Ibrahim Ali Salama, Husam Al-Obaidly, Sawsan Hassan Acta Biomed Original Article OBJECTIVES: To review the demographics and socioeconomic determinants of preterm birth (PTB) compared to term births among the Qatari population. METHODS: This was a retrospective data analysis of 59,308 births. Data were retrieved from a Population-based Cohort Study. Data were gathered from the PEARL-Peristat maternal newborn registry for 2011, 2012, 2017, and 2018. We compared the preterm births group (delivery < 37 weeks) with the term group (delivery ≥ 37 weeks) regarding socioeconomic factors, including maternal nationality, religion, level of education, mother’s occupation, family income, housing, consanguinity, early childbearing, high-risk pregnancy, smoking, assisted conception, antenatal care, and place of delivery. RESULTS: The prevalence of preterm birth was 9%. There were more Saudi nations in the preterm group compared to term (33% vs. 28%, p-value < 0.001). There were more preterm births than term births among working mothers (40% vs. 35%), high-risk pregnancies (24% vs. 18%), those that has used assisted conception (18% vs. 3%), those without antenatal care (11% vs. 5.6%), and those delivered in a tertiary women hospital (88.5% vs. 84.5%) (all p-values < 0.001). There were more women living in villas (41% vs. 38%, p = 0.01) and more smokers (0.8% vs. 0.5%, p = 0.030) in the preterm group than in the term group. There were no differences between the two groups regarding religion, level of maternal education, family income, and early childbearing. CONCLUSION: In our population, we identified several factors associated with preterm births. (www.actabiomedica.it) Mattioli 1885 2021 2021-07-01 /pmc/articles/PMC8343749/ /pubmed/34212910 http://dx.doi.org/10.23750/abm.v92i3.11292 Text en Copyright: © 2020 ACTA BIO MEDICA SOCIETY OF MEDICINE AND NATURAL SCIENCES OF PARMA https://creativecommons.org/licenses/by-nc-sa/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License |
spellingShingle | Original Article Salama, Elsayed Ibrahim Ali Salama, Husam Al-Obaidly, Sawsan Hassan Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title | Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title_full | Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title_fullStr | Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title_full_unstemmed | Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title_short | Socioeconomic Risk Factors for Preterm Birth in the state of Qatar: A Population-based Study |
title_sort | socioeconomic risk factors for preterm birth in the state of qatar: a population-based study |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8343749/ https://www.ncbi.nlm.nih.gov/pubmed/34212910 http://dx.doi.org/10.23750/abm.v92i3.11292 |
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