scholarly journals Random Blood Glucose Measurement at Antenatal Booking to Screen for Overt Diabetes in Pregnancy: A retrospective study

Diabetes Care ◽  
2011 ◽  
Vol 34 (10) ◽  
pp. 2217-2219 ◽  
Author(s):  
D. Church ◽  
D. Halsall ◽  
C. Meek ◽  
R. A. Parker ◽  
H. R. Murphy ◽  
...  
1987 ◽  
Vol 4 (2) ◽  
pp. 160-163 ◽  
Author(s):  
N. I. Jowett ◽  
A. K. Samanta ◽  
A. C. Burden

2020 ◽  
Vol 20 (2) ◽  
pp. 104-106
Author(s):  
Satyan M Rajbhandari ◽  
K Vijay Kumar ◽  
Raja Selvarajan ◽  
Tara Murali

Background and aims: The burden of diabetes in India is increasing, especially in cities. We conducted a cross- sectional survey of the prevalence of diabetes and a measure of prediabetes in an urban population in Bangalore, India.Methods: Screening was conducted free of charge and without need for a prior appointment in 32 screening sites throughout Bangalore. Diabetes was defined either on the basis of a self-reported prior diagnosis or as undiagnosed diabetes on the basis of a random blood glucose measurement of >11.1 mmol/L (200 mg/dL). A second index of dysglycaemia, termed prediabetes, was defined as a random blood glucose measurement of >7.8 mmol/L (140 mg/dL) but less than 11.1 mmol/L.Results: The study population comprised 3,691 subjects, screened over a period of 15 months. Previously diagnosed diabetes was present in 818 patients (22.2%), previously undiagnosed diabetes in 67 patients (1.8%) and the additional measure of prediabetes in 221 patients (6%). Accordingly, almost one-third of subjects (30%) had diabetes or prediabetes by our criteria. Diabetes (diagnosed or undiagnosed) and prediabetes were more common in older subjects than younger subjects, as would be expected.Conclusions: We observed high rates of dysglycaemia in a large urban population in Bangalore. Our data add to previous reports of a substantial burden of abnormal glucose regulation in this setting. Additional public health initiatives are required to protect the citizens of Bangalore from diabetes and its future complications.


1999 ◽  
Author(s):  
Airat K. Amerov ◽  
Kye Jin Jeon ◽  
Yoen-Joo Kim ◽  
Gilwon Yoon

2017 ◽  
Vol 16 (2) ◽  
pp. 59-64
Author(s):  
Kh. A. Kurdanov ◽  
A. D. Elbaev ◽  
A. D. Elbaeva ◽  
R. I. Elbaeva

Author(s):  
Prachi Dhale ◽  
Pragati Dhawale ◽  
Amrin Dosani ◽  
Gaurav Dongare ◽  
Bali Thool

Introduction: Gestational diabetes mellitus (GDM) is diagnosed by elevated blood glucose in pregnancy though the definition has changed repeatedly since its first description in the 1960’s. The most frequently reported perinatal consequence of GDM is macrosomia (usually defined as a neonate weighing over 4 kg) which can increase the risk of caesarean section and shoulder dystocia. For the mother, there are also potential longer-term consequences including an increased risk of type 2 diabetes post-pregnancy and/or in later life. The investigators of a large international Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study aimed to identify a cut-point in the continuum to decide the blood glucose level (BGL) thresholds that should be used to define GDM. Objective: To assess the incidence rate of gestational diabetes in pregnancy among the elderly primi mother. To assess the health seeking behavior of gestational diabetes in elderlyprimimothers.  To associate the demographic variables of gestational diabetes in elderly primi mothers. Materials and Methods: A Descriptive research study was to assess the incidence and Health seeking behavior of gestational diabetes in pregnancy among the elderly primi mother. The target population for the study includes all antenatal women (12-36 weeks of gestation) who attend the antenatal clinics of AVBRH Out Patient Department. Sample consists of sub set of units that compose accessible population. In this study sample size was 100 elderly primi mother of selected area of community of Wardha. A tool is an instrument or equipment used for collection of data. A blue print was prepared prior to the construction of knowledge questionnaire based on which items were developed. Results: A finding shows that (41%) were having good, (40%) were having very good, (17%) were having average and (2%) were having excellent knowledge score. The minimum score was 05 and maximum score was 14, the mean score for the test was 8.93 ± 2.23 and mean percentage of knowledge was 59.54%. There was no significant association in relation to age, education, occupation, No.of gravida, income etc.


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