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Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study
BACKGROUND: Prediction of preterm birth is still a challenge due to its multiple etiologies. This prospective cohort study aimed to determine the technology-free predictors of preterm birth in singleton women with threatened preterm labor. METHODS: This prospective cohort study was performed on 371...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641943/ https://www.ncbi.nlm.nih.gov/pubmed/36348314 http://dx.doi.org/10.1186/s12884-022-05155-3 |
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author | Najjarzadeha, Maryam Mohammad-Alizadeh-Charandabi, Sakineh Abbasalizadeh, Shamsi Asghari-Jafarabadi, Mohammad Mirghafourvand, Mojgan |
author_facet | Najjarzadeha, Maryam Mohammad-Alizadeh-Charandabi, Sakineh Abbasalizadeh, Shamsi Asghari-Jafarabadi, Mohammad Mirghafourvand, Mojgan |
author_sort | Najjarzadeha, Maryam |
collection | PubMed |
description | BACKGROUND: Prediction of preterm birth is still a challenge due to its multiple etiologies. This prospective cohort study aimed to determine the technology-free predictors of preterm birth in singleton women with threatened preterm labor. METHODS: This prospective cohort study was performed on 371 singleton women with gestational age of 23(+ 6) to 36(+ 4) weeks hospitalized for threatened preterm labor. The data were collected using a questionnaire including demographic characteristics, medical and maternal history, as well as the Perceived Stress Scale (PSS), the Multidimensional Scale of Perceived Social Support (MSPSS), and the WHO’s questionnaire of Violence against Women (VAW). The participants were followed-up until childbirth. The predictors were determined using multivariate logistic regression. RESULTS: Preterm birth occurred in 51% of women. Seven variables were determined as predictors; rupture of membranes [adjusted odds ratio 11.7, 95% confidence interval 5.4 to 25.6], cervical dilation [AOR 4.1, 95% CI 2.0 to 7.0], gravidity ≥6 [AOR 27.4, 95%CI 2.8 to 264.3], psychological violence during pregnancy [AOR 2.0, 95% CI 1.1 to 3.2], medical problems in pregnancy onset [AOR 1.7, 95% CI 1.1 to 2.8], vaginal bleeding/spotting [AOR 2.1, 95% CI 1.2 to 4.0] and woman age ≤ 19 [AOR 2.2, 95% CI 1.1 to 4.5]. The proportion of variance explained by all these factors was 33.6%. CONCLUSIONS: The technology-free factors seems to have moderate power in preterm birth prediction in singleton pregnant women hospitalized for threatened preterm labor. However, these results are discoveries without verification or validation and need to be confirmed by generalizable studies. |
format | Online Article Text |
id | pubmed-9641943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-96419432022-11-15 Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study Najjarzadeha, Maryam Mohammad-Alizadeh-Charandabi, Sakineh Abbasalizadeh, Shamsi Asghari-Jafarabadi, Mohammad Mirghafourvand, Mojgan BMC Pregnancy Childbirth Research BACKGROUND: Prediction of preterm birth is still a challenge due to its multiple etiologies. This prospective cohort study aimed to determine the technology-free predictors of preterm birth in singleton women with threatened preterm labor. METHODS: This prospective cohort study was performed on 371 singleton women with gestational age of 23(+ 6) to 36(+ 4) weeks hospitalized for threatened preterm labor. The data were collected using a questionnaire including demographic characteristics, medical and maternal history, as well as the Perceived Stress Scale (PSS), the Multidimensional Scale of Perceived Social Support (MSPSS), and the WHO’s questionnaire of Violence against Women (VAW). The participants were followed-up until childbirth. The predictors were determined using multivariate logistic regression. RESULTS: Preterm birth occurred in 51% of women. Seven variables were determined as predictors; rupture of membranes [adjusted odds ratio 11.7, 95% confidence interval 5.4 to 25.6], cervical dilation [AOR 4.1, 95% CI 2.0 to 7.0], gravidity ≥6 [AOR 27.4, 95%CI 2.8 to 264.3], psychological violence during pregnancy [AOR 2.0, 95% CI 1.1 to 3.2], medical problems in pregnancy onset [AOR 1.7, 95% CI 1.1 to 2.8], vaginal bleeding/spotting [AOR 2.1, 95% CI 1.2 to 4.0] and woman age ≤ 19 [AOR 2.2, 95% CI 1.1 to 4.5]. The proportion of variance explained by all these factors was 33.6%. CONCLUSIONS: The technology-free factors seems to have moderate power in preterm birth prediction in singleton pregnant women hospitalized for threatened preterm labor. However, these results are discoveries without verification or validation and need to be confirmed by generalizable studies. BioMed Central 2022-11-08 /pmc/articles/PMC9641943/ /pubmed/36348314 http://dx.doi.org/10.1186/s12884-022-05155-3 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Najjarzadeha, Maryam Mohammad-Alizadeh-Charandabi, Sakineh Abbasalizadeh, Shamsi Asghari-Jafarabadi, Mohammad Mirghafourvand, Mojgan Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title | Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title_full | Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title_fullStr | Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title_full_unstemmed | Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title_short | Technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
title_sort | technology-free predictors of preterm birth in singleton women with threatened preterm labor: a prospective cohort study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9641943/ https://www.ncbi.nlm.nih.gov/pubmed/36348314 http://dx.doi.org/10.1186/s12884-022-05155-3 |
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