Original Article
Author Details :
Volume : 6, Issue : 2, Year : 2019
Article Page : 44-49
https://doi.org/10.18231/j.jchm.2019.010
Abstract
Introduction: India has high prevalence of gestational diabetes mellitus (GDM). However, there is also a high prevalence of poor nutritional status in antenatal women. Either conditions, separately or combined have been known to have deleterious effect on maternal, perinatal morbidity and mortality.
Objectives: This study was undertaken to assess the demographic profile and glycaemic status of antenatal women attending the district combined hospital (DCH), Chakia.
Materials and Methods: 319 antenatal women were assessed regarding certain demographic variables. The glycaemic status was assessed by single point random blood sugar (RBS) at first point of care visit.
Results: It was seen that only 10% women registered in first trimester whereas 66% in their second trimester. Older women (28-37 years) registered less as compared to 82% younger women (18-27 years). Only 5% women ? 4th gravida and 2% having ? 3 live births registered for antenatal care. Approximately 28.5% women had RBS ? 100 mg% and women with prior abortions had lower RBS (78.57±14.61 mg%) as compared to those with no abortions (91.63±17.12 mg%).
Conclusion: Antenatal registration in the first trimester was appreciably less, specifically for groups at higher risk. This evidence can provide the basis for a more targeted approach towards these woman regarding interventions needed to reduce maternal, perinatal morbidity and mortality. Using RBS values ? 100 mg%, 28.5% pregnant women could be segregated for further testing as recommended by Bowen et al. This may form a way to more cost-effective resource utilization in low resource settings for the screening of GDM.
Key words: Random blood sugar, Pregnancy, Demographic profile, Gestational diabetes mellitus.
How to cite : Yadav U, B.singh T, Chaubey L, Demographic profile and glycaemic status of antenatal women at first point of care visit to district combined hospital, Chakia, Uttar Pradesh, India. J Community Health Manag 2019;6(2):44-49
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