scholarly journals Asupan Karbohidrat Harian terhadap Risiko Kejadian Diabetes Melitus Gestasi (GDM) melalui Glyco-Hemoglobin Ibu Hamil

2021 ◽  
Vol 4 (2) ◽  
pp. 510-518
Author(s):  
Def Primal ◽  
Tetra Anestasia Putri ◽  
Wira Meiriza
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Daily Intake ◽  
Carbohydrate Intake ◽  
Third Trimester ◽  
Cross Sectional ◽  
The Third ◽  
Diabetes Status

This study aims to identify the relationship between the amount of carbohydrate intake in pregnant women in the third trimester with the incidence of gestational diabetes mellitus (GDM) in the health office area of the City of Bukittinggi. This research method is a cross-sectional study using an experimental approach. The results showed that the daily intake of carbohydrates (grams) of pregnant women in the third trimester had a significant relationship with the incidence of GDM in the working area of the Bukittinggi City Health Office based on 34 pregnant women who had been examined. This can be seen from the higher the daily intake of carbohydrates for pregnant women, the increase in the percentage value of HbA1c. In conclusion, there is a correlation between the consistent daily intake of carbohydrates and the HbA1c weight, which refers to pre-diabetes status and gestational diabetes in the third trimester of pregnant women.   Keywords: Carbohydrate Intake; Gestational Diabetes Mellitus; HbA1c

scholarly journals Visfatin concentration is decreased in women with gestational diabetes mellitus in the third trimester

2008 ◽  
Vol 31 (7) ◽  
pp. 610-613 ◽  
Author(s):  
M. Akturk ◽  
A. E. Altinova ◽  
I. Mert ◽  
U. Buyukkagnici ◽  
A. Sargin ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Third Trimester ◽  
The Third

scholarly journals Discovery of metabolic biomarkers for gestational diabetes mellitus in a Chinese population

2021 ◽  
Author(s):  
Wenqian Lu ◽  
Mingjuan Luo ◽  
Xiangnan Fang ◽  
Rong Zhang ◽  
Mengyang Tang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Regression Models ◽  
Second Trimester ◽  
Third Trimester ◽  
Logistic Regression Models ◽  
The Third ◽  
Clinical Indices

Abstract Background: Gestational diabetes mellitus (GDM), one of the most common pregnancy complications, can lead to morbidity and mortality in both the mother and the infant. Metabolomics has provided new insights into the pathology of GDM and systemic analysis of GDM with metabolites is required for providing more clues for GDM diagnosis and mechanism research. This study aims to reveal metabolic differences between normal pregnant women and GDM patients in the second- and third-trimester stages and to confirm the clinical relevance of these new findings.Methods: Metabolites were quantitated with the serum samples of 200 healthy pregnant women and 200 GDM women in the second trimester, 199 normal controls, and 199 GDM patients in the third trimester. Both function and pathway analyses were applied to explore biological roles involved in the two sets of metabolites. Then the trimester stage-specific GDM metabolite biomarkers were identified by combining machine learning approaches, and the logistic regression models were constructed to evaluate predictive efficiency. Finally, the weighted gene co-expression network analysis method was used to further capture the associations between metabolite modules with biomarkers and clinical indices. Results: This study revealed that 57 differentially expressed metabolites (DEMs) were discovered in the second-trimester group, among which the most significant one was 3-methyl-2-oxovaleric acid. Similarly, 72 DEMs were found in the third-trimester group, and the most significant metabolites were ketoleucine and alpha-ketoisovaleric acid. These DEMs were mainly involved in the metabolism pathway of amino acids, fatty acids and bile acids. The logistic regression models for selected metabolite biomarkers achieved the area under the curve values of 0.807 and 0.81 for the second- and third-trimester groups. Furthermore, significant associations were found between DEMs/biomarkers and GDM-related indices. Conclusions: Metabolic differences between healthy pregnant women and GDM patients were found. Associations between biomarkers and clinical indices were also investigated, which may provide insights into pathology of GDM.

Association of Maternal Serum Zinc, Copper and Magnesium Levels, Pre-pregnancy Body Mass Index and Gestational Weight Gain Patterns With the Risk of Gestational Diabetes Mellitus Among Third-trimester Pregnant Women: a Cross-sectional Study

2021 ◽  
Author(s):  
Masoomeh Gholizadeh ◽  
Tohid Rouzitalab ◽  
Saeid Ghavamzadeh ◽  
Elnaz Daneshzad
Keyword(s):  
Diabetes Mellitus ◽  
Weight Gain ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Gestational Weight Gain ◽  
Serum Zinc ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Gestational Weight

Abstract Background: This study sought to evaluate the association between selected micronutrients (zinc, copper, and magnesium), pre-pregnancy BMI, and weight gain during pregnancy with the risk of gestational diabetes mellitus third-trimester pregnant women Urmia, Iran. Methods: This analytic cross-sectional study included 400 pregnant women. The nutritional, demographic, clinical data, and fasting blood samples (selected micronutrients and blood glucose) were evaluated. The data were analyzed using chi-square, independent t-test, and logistic regression tests. Results: The prevalence of gestational diabetes mellitus (GDM) was 18%. The OR for GDM was (OR: 0.329; 95% CI: 0.156-0.696) in normal-weight compared to mothers who were obese before pregnancy. Normal serum zinc concentration was associated with 0.413-fold lower rates of developing GDM (95% CI: 0.227-0.750). Magnesium supplementation was inversely associated with the risk of GDM (OR: 0.986; 95% CI: 0.979-0.994). Inadequate and excessive gestational weight gain was significantly associated with developing GDM in lean and obese women before pregnancy, respectively (p=0.01, p=0.003). Conclusions: Gestational diabetes is highly prevalent in Urmia, and it is likely related to excessive serum zinc concentrations, elevated pre-pregnancy BMI, and gestational weight gain.

scholarly journals Plasma Markers of Oxidative Stress in Patients with Gestational Diabetes Mellitus in the Second and Third Trimester

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Hongwei Li ◽  
Qian Yin ◽  
Ning Li ◽  
Zhenbo Ouyang ◽  
Mei Zhong
Keyword(s):  
Oxidative Stress ◽  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Paraoxonase 1 ◽  
Third Trimester ◽  
Significant Difference ◽  
Markers Of Oxidative Stress ◽  
Plasma Markers

Objective.To determine plasma markers of oxidative stress during the second and third trimester of pregnancy in patients with gestational diabetes mellitus (GDM).Study Design.We conducted a prospective nested case-control study involving 400 pregnant women, 22 of whom developed GDM. As control group, 30 normal pregnant women were chosen randomly. Plasma samples were analyzed for 8-iso-prostaglandin F2α(8-iso-PGF2α), advanced oxidative protein products (AOPPs), protein carbonyl (PCO), glutathione peroxidase-3 (GPX-3), and paraoxonase-1 (PON1) at 16–20 weeks, 24–28 weeks, and 32–36 weeks of gestation.Results.Compared to control subjects, the plasma levels of PCO, AOPPs, and 8-iso-PGF2αwere elevated at 16–20 weeks’ and 32–36 weeks’ gestation in GDM. There was no significant difference in PCO and 8-iso-PGF2αat 24–28 weeks in GDM. GPX-3 was statistically significantly increased at 16–20 weeks and 32–36 weeks in GDM. PON1 reduced in patients with GDM. No significant differences were found at 24–28 and 32–36 weeks between the GDM and control groups. In GDM, PCO, AOPPs, and 8-iso-PGF2αlevels were higher and GPX-3 and PON1 levels were lower in the second than the third trimester.Conclusion.Oxidation status increased in GDM, especially protein oxidation, which may contribute to the pathogenesis of GDM.

scholarly journals Discovery of metabolic biomarkers for gestational diabetes mellitus in a Chinese population

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Wenqian Lu ◽  
Mingjuan Luo ◽  
Xiangnan Fang ◽  
Rong Zhang ◽  
Shanshan Li ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Logistic Regression ◽  
Gestational Diabetes ◽  
Pregnant Women ◽  
Regression Models ◽  
Second Trimester ◽  
Third Trimester ◽  
Logistic Regression Models ◽  
The Third ◽  
Clinical Indices

Abstract Background Gestational diabetes mellitus (GDM), one of the most common pregnancy complications, can lead to morbidity and mortality in both the mother and the infant. Metabolomics has provided new insights into the pathology of GDM and systemic analysis of GDM with metabolites is required for providing more clues for GDM diagnosis and mechanism research. This study aims to reveal metabolic differences between normal pregnant women and GDM patients in the second- and third-trimester stages and to confirm the clinical relevance of these new findings. Methods Metabolites were quantitated with the serum samples of 200 healthy pregnant women and 200 GDM women in the second trimester, 199 normal controls, and 199 GDM patients in the third trimester. Both function and pathway analyses were applied to explore biological roles involved in the two sets of metabolites. Then the trimester stage-specific GDM metabolite biomarkers were identified by combining machine learning approaches, and the logistic regression models were constructed to evaluate predictive efficiency. Finally, the weighted gene co-expression network analysis method was used to further capture the associations between metabolite modules with biomarkers and clinical indices. Results This study revealed that 57 differentially expressed metabolites (DEMs) were discovered in the second-trimester group, among which the most significant one was 3-methyl-2-oxovaleric acid. Similarly, 72 DEMs were found in the third-trimester group, and the most significant metabolites were ketoleucine and alpha-ketoisovaleric acid. These DEMs were mainly involved in the metabolism pathway of amino acids, fatty acids and bile acids. The logistic regression models for selected metabolite biomarkers achieved the area under the curve values of 0.807 and 0.81 for the second- and third-trimester groups. Furthermore, significant associations were found between DEMs/biomarkers and GDM-related indices. Conclusions Metabolic differences between healthy pregnant women and GDM patients were found. Associations between biomarkers and clinical indices were also investigated, which may provide insights into pathology of GDM.

scholarly journals The Role of Gestational Diabetes Mellitus and Pelvic Floor 3D-Ultrasound Markers at the Second and Third Trimester of Pregnancy Predicting 6-18 Months Postpartum Urinary Incontinence: Preliminary Results From a Prospective Cohort

2021 ◽  
Author(s):  
Carlos Izaias Sartorão Filho ◽  
Fabiane Affonso Pinheiro ◽  
Luiz Takano ◽  
Raghavendra Hallur Lakshmana Shetty ◽  
Sthefanie K. Nunes ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factors ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pelvic Floor ◽  
Univariate Analysis ◽  
3D Ultrasound ◽  
Third Trimester ◽  
The Third ◽  
Hiatal Area

Abstract Background Gestational Diabetes Mellitus and long-term urinary incontinence (UI) have a severe impact on women's health. New methods to identify pregnant predictor risk factors of UI are needed. Our study investigated clinical and pelvic floor 3D-ultrasound markers in pregnant women at the second and third trimesters to predict 6-18 months postpartum UI. Methods This ongoing prospective cohort study included one hundred five nulliparous pregnant women with universal GDM screening and diagnosis, treated with nutritional and healthy lifestyle intervention. Pelvic floor 3DUltrasound was performed at the second and third trimesters of gestation. Clinical and pelvic floor 3DUltrasound biometry were collected. The ICIQ-SF and ISI questionnaires for UI were applied in the third trimester and 6-18 months postpartum. We performed univariate analysis (P<.20) to extract risk factors variables and multivariate logistic regression analysis (P<.05) to obtain the adjusted relative ratio for 6-18 months postpartum UI. Results In a preliminary result, a total of 93 participants concluded the follow-up. Using the variables obtained by the univariate analysis and after the adjustments for potential confounders, logistic regression analysis revealed that Gestational Diabetes Mellitus exposure was a strong and independent risk factor for 6-18 months postpartum UI (Adjusted RR 8.088; 95%CI 1.17-55.87; P:.034). In addition, higher hiatal area distension at rest from the second to the third trimester was negatively correlated with 6-18 months postpartum UI (Adjusted RR 0.966; 95%CI 0.93-0.99; P: .023). Conclusion Gestational Diabetes Mellitus was positively correlated with 6-18 months postpartum UI, and a higher hiatal area distension was negatively correlated with 6-18 months postpartum UI development. Trial registration: Regulatory approval was obtained from the Institutional Review Board (number 1.716.895) by “Botucatu Medical School of São Paulo State University (Unesp)” Ethics Committee.

Gestational diabetes mellitus and quality of life during the third trimester of pregnancy

2019 ◽  
Vol 28 (5) ◽  
pp. 1349-1354 ◽  
Author(s):  
Kyriakos A. Pantzartzis ◽  
Philip P. Manolopoulos ◽  
Stavroula A. Paschou ◽  
Kyriakos Kazakos ◽  
Kalliopi Kotsa ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Third Trimester ◽  
The Third
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