Maternal and clinical predictors of insulin requirement in gestational diabetes mellitus (GDM): A cross-sectional study

Gestational diabetes mellitus (GDM) poses a significant challenge due to its variable insulin requirements and impact on pregnancy outcomes. Therefore, it is of interest to identify maternal, clinical, and lifestyle factors associated with insulin use among 386 women diagnosed with GDM. Detailed data on demographics, anthropometry, family history, comorbidities, diet, physical activity, and obstetric outcomes were analyzed. Higher pre-pregnancy weight, family history of diabetes, insulin resistance markers, and co-morbid conditions were significantly linked to insulin requirement. Early identification of high-risk women can enable timely interventions and improve maternal and fetal outcomes.

Authors

Institutions

Publication Details

Journal
Bioinformation
Published
2025-10-31
DOI
https://doi.org/10.6026/973206300213628
Primary Topic
Gestational Diabetes Research and Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Maternal and clinical predictors of insulin requirement in gestational diabetes mellitus (GDM): A cross-sectional study

Nisha Nair, Pushpa Saravanan, Dharmarajan Panneerselvam, Dilip Srinivasan et al.
Bioinformation
Gestational Diabetes Research and Management
article

Maternal and clinical predictors of insulin requirement in gestational diabetes mellitus (GDM): A cross-sectional study

Nisha Nair, Pushpa Saravanan, Dharmarajan Panneerselvam, Dilip Srinivasan, H H Suresh, C. Srinivasan, S. Robin, Anbumathi Suriyamoorthy, Ciba Vaitheeshwari Baskaran, Maheshlakhiru Murugaiyan
article en

Abstract

Gestational diabetes mellitus (GDM) poses a significant challenge due to its variable insulin requirements and impact on pregnancy outcomes. Therefore, it is of interest to identify maternal, clinical, and lifestyle factors associated with insulin use among 386 women diagnosed with GDM. Detailed data on demographics, anthropometry, family history, comorbidities, diet, physical activity, and obstetric outcomes were analyzed. Higher pre-pregnancy weight, family history of diabetes, insulin resistance markers, and co-morbid conditions were significantly linked to insulin requirement. Early identification of high-risk women can enable timely interventions and improve maternal and fetal outcomes.

BioinformationVol. 21(10)
Madras Medical College (IN), KG Hospital (IN), Apollo Hospitals (IN)
Openalex Percentile: Top 59%
Gestational Diabetes Research and Management
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.