Incidence of Gestational Diabetes Mellitus in Pregnant women from Rural Background Attending Antenatal Care Clinic

Shah, Amar; Chaudhari, Sanjay; Shah, Menka

doi:10.17511/ijmrr.2015.i2.029

Cited by 6 publications

(5 citation statements)

References 11 publications

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“…In a study done by Gupta in Jaipur, incidence of gestational diabetes is 3.3% and maximum in age more than 36 years which is comparable to prevalence in present study of 3.7% and also association of GDM with increasing age in present study. 6 A comparable prevalence of 2.2% GDM is seen in study by Verges et al also. 7 In a study by Nahum, 25 patients out of 255 had gestational diabetes and 96% of them were identified by screening at 16 weeks.…”

Section: Discussionsupporting

confidence: 64%

A community based screening of gestational diabetes mellitus within 16 weeks of pregnancy: a study from Mysuru district, Karnataka

Sinha¹,

Madhu

Murthy

2018

Int J Community Med Public Health

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Background: Gestational diabetes mellitus is defined as carbohydrate intolerance with onset/recognition during pregnancy where maternal and perinatal complications are increased. Aged care facilities in rural areas reports disparity in the management of gestational diabetes as compared with urban counter parts. As a need to address this, study conducted with objective to estimate prevalence of gestational diabetes mellitus within 16 weeks of gestation for GDM by oral glucose challenges test.Methods: Antenatal mothers attending primary health centers within 16 weeks of gestation were screened for GDM. Two hours, venous samples were calculated for estimation of blood glucose level. Plasma glucose level of >140mg/dl was considered as OGTT positive.Results: Among 301 patients examined 11 mothers had OGTT positive results. GDM was seen in 3.7% of Mothers. GDM is found significantly associated with increasing age (p=0.01, t=2.52, mean difference 2.54 CI 0.5-4.5), weight (p=0.04, t=2.24, mean difference 10.8 CI 0.11-21.5), and BMI (p<0.01, t=2.97, mean difference 3.6 CI 1.2-6). GDM was seen more in multigravida (P=0.01). Statistically significant association of GDM was found with mean systolic (p<0.01, t=2.62, mean difference 8.08 CI 2.01-14.14) and diastolic blood pressure (P<0.01, t=3.44, mean difference 7.87 CI 3.38-12.36). A multiple regression shows these variables statistically significantly predicted GDM, F (5, 295)= 7, p<0.001, R2=0.106.Conclusions: GDM is statistically associated with increasing age, increasing weight, BMI and multiple gravida in pregnancy. It is recommended to screen for GDM within the 1st trimester & follow up needed to prevent further complications.

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Section: Discussionsupporting

confidence: 64%

A community based screening of gestational diabetes mellitus within 16 weeks of pregnancy: a study from Mysuru district, Karnataka

Sinha¹,

Madhu

Murthy

2018

Int J Community Med Public Health

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“…Studies from Delhi and Manipur reported prevalences of 1.5% and 1% [ 12 , 14 ], respectively, using the 100g ADA criteria, but prevalence of abnormality on the initial step of the screening test, which is most similar to the DIPSI used in our study, was close to 10%. Rural studies in Kashmir had a prevalence of 2.4%, in Jaipur 3.3%, in Mysuru 3.7%, and in Coimbatore 2.1% [ 15 , 16 , 17 , 18 ]. However, the last three studies may have had an artificially low prevalence because of the inclusion of women in 1 st trimester.…”

Section: Discussionmentioning

confidence: 99%

Gestational diabetes in rural central India: low prevalence but absence of typical risk factors

Chebrolu¹,

Kurbude²,

Thakur³

et al. 2021

Heliyon

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Introduction:The reported prevalence of gestational diabetes mellitus (GDM) varies widely across India. Given the short-term, long-term, and multigenerational health impacts of GDM, understanding its frequency and risk factors is important for population screening strategies. We estimated the prevalence of GDM and determined associated risk factors in rural, central India, where data is sparse. Methods: We conducted a cross-sectional study of a convenience sample of 575 pregnant women attending antenatal care (ANC) clinics at Jan Swasthya Sahyog's (JSS) outreach clinics in rural Chhattisgarh, India. Study participants underwent a non-fasting 75g oral glucose tolerance test (OGTT) between 24-28 weeks gestation. Using Diabetes in Pregnancy Study Group of India (DIPSI) criteria, a 2-hour post-OGTT glucose 140 mg/dL was used to diagnose GDM. Results: We found 11 patients (1.9%) who met diagnostic criteria for GDM. Median age, systolic blood pressure, and diastolic blood pressure were higher in those with GDM (26 vs 23 years, p ¼ 0.02; 117 vs 106 mmHg, p ¼ 0.04, 77 vs 68 mmHg, p < 0.01, respectively). Pre-hypertension was associated with increased odds of GDM on multivariate analysis (OR 4.0, 95% CI: 1.1, 14.8). BMI was not associated with GDM. With appropriate management there were no differences in fetal complications between GDM and normal glucose tolerance (NGT) groups. Conclusions: In rural, central India the prevalence of GDM was 1.9% in the absence of traditional risk factors such as increased BMI. Further research is needed to define the applicability of optimal screening strategies in such settings.

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“…Increasing maternal age is a proven risk factor for GDM. [10][11][12][13][14][15][16][17][18][19][20] However, the exact cut-off at which risk becomes pertinent is still unclear. Many studies identified high GDM risk among subjects aged 30 years and above [10][11][12][13][14][15][16][17] whereas few studies reported age > 25 years as a significant risk factor for GDM.…”

Section: Non-modifiablementioning

confidence: 99%

“…[10][11][12][13][14][15][16][17][18][19][20] However, the exact cut-off at which risk becomes pertinent is still unclear. Many studies identified high GDM risk among subjects aged 30 years and above [10][11][12][13][14][15][16][17] whereas few studies reported age > 25 years as a significant risk factor for GDM. [18][19][20] In addition, many researchers reported high GDM risk among those attaining early menarche.…”

Section: Non-modifiablementioning

confidence: 99%

“…Higher prevalence of such factorsamong GDM subjects includemultigravida, multiparity, past history of obstetric conditions like GDM, pregnancy induced hypertension (PIH), polyhydramnios, abortions, glycosuria, proteinuria, premature rupture of membranes, abruption placentae, abnormal weight gain, induction of labor, preterm labor, stillbirths, caesarian and assisted delivery, perinatal and neonatal deaths, intrauterine growth retardation (IUGR), intrauterine deaths (IUD), macrosomia, and other neonatal complications like neonatal hypoglycemia, trauma, RDS (respiratory distress syndrome), hyperbilirubinemia, hypoglycaemia, hypoglycaemia, shoulder dystocia, and congenital malformations etc. 11,12,17,25,27 To avoid the influence of modifiable factors, their early identification plays an important role, and therefore, the significance of routine antenatal care cannot be over-emphasized. In addition, lifestyle interventions pertaining to diet, physical activity, and stress management is urgently required.…”

Section: Modifiablementioning

confidence: 99%

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Life-cycle approach for prevention of gestational diabetes mellitus

Mishra

Rao

Bhadoria

et al. 2019

Clinical Epidemiology and Global Health

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Incidence of Gestational Diabetes Mellitus in Pregnant women from Rural Background Attending Antenatal Care Clinic

Cited by 6 publications

References 11 publications

A community based screening of gestational diabetes mellitus within 16 weeks of pregnancy: a study from Mysuru district, Karnataka

A community based screening of gestational diabetes mellitus within 16 weeks of pregnancy: a study from Mysuru district, Karnataka

Gestational diabetes in rural central India: low prevalence but absence of typical risk factors

Life-cycle approach for prevention of gestational diabetes mellitus

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