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Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression

BACKGROUND: Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in t...

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Autores principales: Manoochehri, Zohreh, Moghimbeigi, Abbas, Ezzati-Rastegar, Khadije, Faradmal, Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883965/
https://www.ncbi.nlm.nih.gov/pubmed/36707805
http://dx.doi.org/10.1186/s12889-023-15090-3
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author Manoochehri, Zohreh
Moghimbeigi, Abbas
Ezzati-Rastegar, Khadije
Faradmal, Javad
author_facet Manoochehri, Zohreh
Moghimbeigi, Abbas
Ezzati-Rastegar, Khadije
Faradmal, Javad
author_sort Manoochehri, Zohreh
collection PubMed
description BACKGROUND: Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran. METHODS: In this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used. RESULTS: According to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG. CONCLUSIONS: In general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums.
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spelling pubmed-98839652023-01-29 Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression Manoochehri, Zohreh Moghimbeigi, Abbas Ezzati-Rastegar, Khadije Faradmal, Javad BMC Public Health Research BACKGROUND: Adequate gestational weight gain (GWG) is an important factor for maternal and fetal health. This is especially important in low-income and slum areas due to limited access to health services and malnutrition. Thus, the purpose of this study is to evaluate the pattern of GWG changes in the slum areas of Hamadan in Iran. METHODS: In this longitudinal study, the study sample consisted of 509 pregnant women who referred to nine health care clinics in the slum areas of Hamadan. Women's weight gain based on the recommended GWG by U.S. Institute of Medicine (IOM) was divided into three categories: Inadequate weight gain, Adequate weight gain, and Excessive weight gain. In order to evaluate the trend of GWG, a multi-level ordinal model was used. RESULTS: According to pre-pregnancy BMI, a little more than half people (56.6%) were overweight or obese. 85.4% women in the first trimester and 49.1% in the second trimester did not have adequate GWG, but in the third trimester (38.9%) had adequate GWG. Based on multivariate analysis, pre- pregnancy BMI has a significant effect on the odds of inadequate GWG (P-value = 0.021); with one unit increase in pre-pregnancy BMI, the odds of inadequate GWG grows by 1.07 times compared to adequate and excessive GWG. CONCLUSIONS: In general, women did not have adequate weight gain in the first and second trimesters.Thus, designing appropriate interventions to achieve optimal GWG seems to be necessary in slums. BioMed Central 2023-01-27 /pmc/articles/PMC9883965/ /pubmed/36707805 http://dx.doi.org/10.1186/s12889-023-15090-3 Text en © The Author(s) 2023 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
Manoochehri, Zohreh
Moghimbeigi, Abbas
Ezzati-Rastegar, Khadije
Faradmal, Javad
Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title_full Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title_fullStr Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title_full_unstemmed Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title_short Pattern of weight gain in pregnant women in slum areas of Hamadan using multilevel ordinal regression
title_sort pattern of weight gain in pregnant women in slum areas of hamadan using multilevel ordinal regression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9883965/
https://www.ncbi.nlm.nih.gov/pubmed/36707805
http://dx.doi.org/10.1186/s12889-023-15090-3
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