A cross-sectional study of antenatal depressive symptoms in women at high risk for gestational diabetes mellitus

2015 ◽  
Vol 79 (6) ◽  
pp. 646-650 ◽  
Author(s):  
Elina Engberg ◽  
Beata Stach-Lempinen ◽  
Niina Sahrakorpi ◽  
Kristiina Rönö ◽  
Risto P. Roine ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Depressive Symptoms ◽  
High Risk ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Antenatal Depressive Symptoms

scholarly journals Prevalence and predictors of gestational diabetes mellitus among pregnant women attending antenatal clinic in Dodoma region, Tanzania: an analytical cross-sectional study

2021 ◽  
pp. bmjnph-2020-000149
Author(s):  
Mwajuma Bakari Mdoe ◽  
Stephen Matthew Kibusi ◽  
Mariam John Munyogwa ◽  
Alex Ibolinga Ernest
Keyword(s):  
Diabetes Mellitus ◽  
High Risk ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Cross Sectional Study ◽  
Health Facilities ◽  
Sectional Study ◽  
Cross Sectional ◽  
History Of

IntroductionGestational diabetes mellitus (GDM) is rapidly increasing worldwide. Globally, 18.4 million pregnancies are complicated by GDM. Despite its known effect, GDM screening is not part of routine antenatal services in Tanzania. There is paucity of data on the magnitude and risk factors for GDM. Therefore, this study sought to determine prevalence and predictors of GDM among pregnant women in Dodoma region, Tanzania from March to August 2018.Research design and methodsA cross-sectional study was carried out in Dodoma region, Tanzania between April and August of 2018. A total of 582 pregnant women were recruited from four local health facilities, where purposive sampling procedure was used to select the region, districts and health facilities. Simple random sampling was used to select study participants. Screening and diagnosis of GDM were performed using the 2013 WHO criteria. Descriptive and inferential analyses were performed using SPSS V.23 to determine prevalence and independent predictors of GDM.ResultsAmong 582 participants, 160 (27.5%) participants were diagnosed with GDM. GDM was more prevalent in urban areas than rural areas, among overweight participants, among participants with a history of a large for gestational age baby, among participants with a history of caesarean section, and among participants with college or university education. Multiple logistic regression analysis showed that maternal age above 35 years (adjusted OR (AOR) 3.115 (95% CI: 1.165 to 8.359)), pre-eclampsia (AOR 3.684 (95% CI: 1.202 to 5.293)), low physical activity level (AOR 4.758 (95% CI: 2.232 to 10.143)), lack of awareness of GDM (AOR 6.371 (95% CI: 1.944 to 13.919)), alcohol use (AOR 4.477 (95% CI: 1.642 to 12.202)) and family history of diabetes (AOR 2.344 (95% CI: 1.239 to 4.434)) were significantly associated with GDM.ConclusionsPrevalence of GDM is relatively high in Dodoma region. Most pregnant women are unaware of the condition such that it leads to a high-risk lifestyle. Besides, GDM significantly contributes to the number of high-risk pregnancies that go undetected and suboptimally managed. The antenatal care centres offer an optimum platform for screening, preventing and treating GDM by prioritising high-risk women.

scholarly journals Association between maternal glucose levels during pregnancy and gestational diabetes mellitus: an analytical cross-sectional study

2015 ◽  
Vol 7 (1) ◽  
Author(s):  
Gisele Seabra ◽  
Cláudia Saunders ◽  
Patrícia de Carvalho Padilha ◽  
Lenita Zajdenverg ◽  
Letícia Barbosa Gabriel da Silva ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Cross Sectional Study ◽  
Sectional Study ◽  
Cross Sectional ◽  
Glucose Levels ◽  
Maternal Glucose Levels ◽  
Maternal Glucose

scholarly journals Comparison of Venous and Capillary Sampling in Oral Glucose Testing for the Diagnosis of Gestational Diabetes Mellitus: A Diagnostic Accuracy Cross-Sectional Study Using Accu-Chek Inform II

Diagnostics ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. 1011
Author(s):  
Sofia Nevander ◽  
Eva Landberg ◽  
Marie Blomberg ◽  
Bertil Ekman ◽  
Caroline Lilliecreutz
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Diagnostic Accuracy ◽  
Predictive Value ◽  
Cross Sectional Study ◽  
Oral Glucose ◽  
Sectional Study ◽  
Cross Sectional ◽  
Capillary Sampling

Gestational diabetes mellitus (GDM) is a common complication with negative impacts on mother and child. The primary aim of this study was to examine whether plasma glucose cutoffs for GDM diagnosis based on venous sampling can be replaced by cutoffs based on capillary sampling. A prospective cross-sectional study was performed at an antenatal care clinic including 175 pregnant women undergoing an oral glucose tolerance test (OGTT). Duplicate samples were collected by capillary and venous puncture while fasting and 1 h and 2 h after an OGTT. Both samples were analyzed on Accu-Chek Inform II. The cutoffs for a GDM diagnosis using capillary samples were corrected from 5.1 to 5.3 mmol/L for the fasting sample, from 10.0 to 11.1 mmol/L for the 1 h sample, and from 8.5 to 9.4 mmol/L for the 2-h sample using half of the dataset. Applying these cutoffs to the remaining dataset resulted in a sensitivity, specificity, and accuracy of 85.0%, 95.0%, and 90.3%, respectively, with a positive predictive value (PPV) of 83%, an negative predictive value (NPV) of 96%, and a positive negative likelihood ratio (LHR) of 16.4 using capillary sampling for the GDM diagnosis at fasting and 2-h after. Corrected cutoffs and capillary samples can be used for the diagnosis of GDM with maintained diagnostic accuracy using Accu-Chek Inform II.

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