A Prospective Comparative Study in Successful Induction of Labour in Primigravida in Relation to their Body Mass Index

Background and objective: Induction of labour is considered when the benefits of prompt delivery outweigh the risk of expecting the natural onset of labour. Over recent decades, more pregnant women around the world have undergone induction of labour, especially those with high body mass index. Thus, this study aimed to determine the success rate of induction of labour in primigravida women in relation to their body mass index. Methods: This prospective cross-sectional was conducted on 100 primigravida women who attended the Sulaimani Maternity Teaching Hospital, Sulaimaniyah, Iraq, from May 2022 to May 2023, using a simple random sampling method. Their gestational age was calculated with first-trimester ultrasound. Then, a validated questionnaire was used to record their basic/clinical data. Consequently, labour was induced with either misoprostol or oxytocin. Finally, the mode of delivery was compared with maternal age, Bishops score and body mass index. Results: The mean age of studied pregnant women was 28.43 ± 6.09 years. Most of them aged 20-30 years (60%), had normal weight (72%), took misoprostol (72%), and had normal vaginal delivery (59%). The maternal age was not significantly correlated to the success of induction of labour (P>0.05), while Bishop score/body mass index was highly significant (P<0.001), and induction of labour was significantly (P=0.011) associated with the mode of delivery among primigravida women. Conclusions: Body weight, Bishop score and type of labour induction directly played a role in successful expected vaginal delivery, while maternal age did not.

Authors

Institutions

Publication Details

Journal
Advanced medical journal
Published
2025-06-02
DOI
https://doi.org/10.56056/amj.2025.355
Primary Topic
Global Health and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Prospective Comparative Study in Successful Induction of Labour in Primigravida in Relation to their Body Mass Index

Chro Fattah, Rukhsana Majeed
Advanced medical journal
Global Health and Epidemiology
article

A Prospective Comparative Study in Successful Induction of Labour in Primigravida in Relation to their Body Mass Index

Chro Fattah, Rukhsana Majeed
article en

Abstract

Background and objective: Induction of labour is considered when the benefits of prompt delivery outweigh the risk of expecting the natural onset of labour. Over recent decades, more pregnant women around the world have undergone induction of labour, especially those with high body mass index. Thus, this study aimed to determine the success rate of induction of labour in primigravida women in relation to their body mass index. Methods: This prospective cross-sectional was conducted on 100 primigravida women who attended the Sulaimani Maternity Teaching Hospital, Sulaimaniyah, Iraq, from May 2022 to May 2023, using a simple random sampling method. Their gestational age was calculated with first-trimester ultrasound. Then, a validated questionnaire was used to record their basic/clinical data. Consequently, labour was induced with either misoprostol or oxytocin. Finally, the mode of delivery was compared with maternal age, Bishops score and body mass index. Results: The mean age of studied pregnant women was 28.43 ± 6.09 years. Most of them aged 20-30 years (60%), had normal weight (72%), took misoprostol (72%), and had normal vaginal delivery (59%). The maternal age was not significantly correlated to the success of induction of labour (P>0.05), while Bishop score/body mass index was highly significant (P<0.001), and induction of labour was significantly (P=0.011) associated with the mode of delivery among primigravida women. Conclusions: Body weight, Bishop score and type of labour induction directly played a role in successful expected vaginal delivery, while maternal age did not.

Advanced medical journalVol. 10(2)
University of Sulaimani (IQ)
Openalex Percentile: Top 85%
Global Health and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.