Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India

Background: This analysis was conducted to understand prevalence and determinants of gestational diabetes mellitus (GDM) and (overt) diabetes in pregnancy (DIP) in India, and also ascertain their health-seeking behaviour. Materials and Methods: The authors analysed data from the fifth National Famil...

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Main Authors: Saurav Basu, Vansh Maheshwari, Rutul Gokalani, Chandrakant Lahariya
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2024-01-01
Series:Preventive Medicine: Research & Reviews
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Online Access:https://journals.lww.com/10.4103/PMRR.PMRR_11_23
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author Saurav Basu
Vansh Maheshwari
Rutul Gokalani
Chandrakant Lahariya
author_facet Saurav Basu
Vansh Maheshwari
Rutul Gokalani
Chandrakant Lahariya
author_sort Saurav Basu
collection DOAJ
description Background: This analysis was conducted to understand prevalence and determinants of gestational diabetes mellitus (GDM) and (overt) diabetes in pregnancy (DIP) in India, and also ascertain their health-seeking behaviour. Materials and Methods: The authors analysed data from the fifth National Family Health Survey of India. Binary logistic regression was used to assess the factors independently associated with GDM and (overt) DIP. Results: The weighted prevalence of GDM was 4.2% (95% confidence interval [CI]: 3.9–4.5), and the age-adjusted prevalence was 5.4% (95% CI: 4.5–6.4). The prevalence of GDM increased with age. The weighted prevalence of (overt) DIP was 0.38% (95% CI: 0.30–0.48), and the age-adjusted prevalence was 1.04% (95% CI: 0.64–1.68). On adjusted analysis, it was found that increasing age and obesity had significantly higher odds of having GDM. Higher odds of access to private facilities were found amongst women with higher education and those who were overweight. Significant regional variation in the prevalence of GDM was observed, with a very low burden observed in northeastern states and a comparatively higher burden in Central, Western and Southern Indian states. Conclusions: There is an increasing prevalence of GDM in India. Strengthening primary health systems to enhance GDM-related service availability, quality and delivery could be logical policy intervention.
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spelling doaj-art-a6ec9a32b17c4d8fa52332bbfa84f0722025-07-02T15:16:21ZengWolters Kluwer Medknow PublicationsPreventive Medicine: Research & Reviews2950-58282950-58362024-01-0111525810.4103/PMRR.PMRR_11_23Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from IndiaSaurav BasuVansh MaheshwariRutul GokalaniChandrakant LahariyaBackground: This analysis was conducted to understand prevalence and determinants of gestational diabetes mellitus (GDM) and (overt) diabetes in pregnancy (DIP) in India, and also ascertain their health-seeking behaviour. Materials and Methods: The authors analysed data from the fifth National Family Health Survey of India. Binary logistic regression was used to assess the factors independently associated with GDM and (overt) DIP. Results: The weighted prevalence of GDM was 4.2% (95% confidence interval [CI]: 3.9–4.5), and the age-adjusted prevalence was 5.4% (95% CI: 4.5–6.4). The prevalence of GDM increased with age. The weighted prevalence of (overt) DIP was 0.38% (95% CI: 0.30–0.48), and the age-adjusted prevalence was 1.04% (95% CI: 0.64–1.68). On adjusted analysis, it was found that increasing age and obesity had significantly higher odds of having GDM. Higher odds of access to private facilities were found amongst women with higher education and those who were overweight. Significant regional variation in the prevalence of GDM was observed, with a very low burden observed in northeastern states and a comparatively higher burden in Central, Western and Southern Indian states. Conclusions: There is an increasing prevalence of GDM in India. Strengthening primary health systems to enhance GDM-related service availability, quality and delivery could be logical policy intervention.https://journals.lww.com/10.4103/PMRR.PMRR_11_23gestational diabetesindianational family health surveypregnantwomen
spellingShingle Saurav Basu
Vansh Maheshwari
Rutul Gokalani
Chandrakant Lahariya
Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
Preventive Medicine: Research & Reviews
gestational diabetes
india
national family health survey
pregnant
women
title Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
title_full Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
title_fullStr Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
title_full_unstemmed Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
title_short Prevalence and Predictors of Gestational Diabetes Mellitus and Overt Diabetes in Pregnancy: A Secondary Analysis of Nationwide Data from India
title_sort prevalence and predictors of gestational diabetes mellitus and overt diabetes in pregnancy a secondary analysis of nationwide data from india
topic gestational diabetes
india
national family health survey
pregnant
women
url https://journals.lww.com/10.4103/PMRR.PMRR_11_23
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