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ZENODO
Article . 2023
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Assessment of the Pattern of Weight Gain in Pregnant Women and Effect on Maternal and Neonatal Outcome: A Comparative Observational Study

Authors: Mamta Rani;

Assessment of the Pattern of Weight Gain in Pregnant Women and Effect on Maternal and Neonatal Outcome: A Comparative Observational Study

Abstract

AbstractAim: The aim of the present study was to assess the pattern of weight gain in pregnant womenand effect on maternal and neonatal outcome in Bihar region.Methods: The present study was conducted at BMIMS, PAWAPURI, Nalanda, Bihar, Indiafor two years and 1000 women were enrolled in the study. In the present study, only singlepregnancy outcomes were investigated. Pre-pregnancy BMIs were classified into 4 typesnamely: underweight, normal, overweight and obese women.Results: There were significant differences in age, educational levels, occupations and familymember among the 4 pre-pregnancy BMI groups. In maternal outcomes, there were significantdifferences in the delivery mode, GDM and Gestational Hypertension (GHp) among the 4 prepregnancy BMI groups. For neonatal outcomes, there were significant differences in birthweights and GA among the 4 prepregnancy BMI groups.Conclusion: Overweight and obesity before pregnancy and excessive GWG were linked to anincreased risk of GDM, GHp, macrosomia and LGA. In clinical practice, physicians can guidepregnant women to manage and control weight gain during pregnancy in order to reduce therisk of adverse pregnancy outcomes. Women of childbearing age can be advised on theimportance of maintaining an optimal BMI when planning to become pregnant. The risk foradverse maternal and infant outcomes varied by gestational weight gain and across the rangeof prepregnancy weights

AbstractAim: The aim of the present study was to assess the pattern of weight gain in pregnant womenand effect on maternal and neonatal outcome in Bihar region.Methods: The present study was conducted at BMIMS, PAWAPURI, Nalanda, Bihar, Indiafor two years and 1000 women were enrolled in the study. In the present study, only singlepregnancy outcomes were investigated. Pre-pregnancy BMIs were classified into 4 typesnamely: underweight, normal, overweight and obese women.Results: There were significant differences in age, educational levels, occupations and familymember among the 4 pre-pregnancy BMI groups. In maternal outcomes, there were significantdifferences in the delivery mode, GDM and Gestational Hypertension (GHp) among the 4 prepregnancy BMI groups. For neonatal outcomes, there were significant differences in birthweights and GA among the 4 prepregnancy BMI groups.Conclusion: Overweight and obesity before pregnancy and excessive GWG were linked to anincreased risk of GDM, GHp, macrosomia and LGA. In clinical practice, physicians can guidepregnant women to manage and control weight gain during pregnancy in order to reduce therisk of adverse pregnancy outcomes. Women of childbearing age can be advised on theimportance of maintaining an optimal BMI when planning to become pregnant. The risk foradverse maternal and infant outcomes varied by gestational weight gain and across the rangeof prepregnancy weights

Keywords

Gestational weight gain, Pre-pregnancy BMI, Maternal outcomes, Neonatal outcomes

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average