Circulating fatty acids and risk of gestational diabetes mellitus: prospective analyses in China

2021 ◽  
Author(s):  
Xiong-Fei Pan ◽  
Yichao Huang ◽  
Xinping Li ◽  
Yi Wang ◽  
Yi Ye ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Fatty Acids ◽  
Standard Deviation ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Central China ◽  
Western China ◽  
Standard Deviation Increase

Objective We aimed to examine prospective associations between circulating fatty acids in early pregnancy and incident gestational diabetes mellitus (GDM) among Chinese pregnant women. Methods Analyses were based on two prospective nested case-control studies conducted in western China (336 GDM cases and 672 matched controls) and central China (305 cases and 305 matched controls). Fasting plasma fatty acids in early pregnancy (gestational age at enrollment: 10.4 weeks [standard deviation, 2.0]) and 13.2 weeks [1.0], respectively) were determined by gas chromatography-mass spectrometry, and GDM was diagnosed based on the International Association of Diabetes in Pregnancy Study Groups criteria during 24-28 weeks of gestation. Multiple metabolic biomarkers (HOMA-IR [homeostatic model assessment for insulin resistance], HbA1c, c-peptide, high-sensitivity C-reactive protein, adiponectin, leptin, and blood lipids) were additionally measured among 672 non-GDM controls at enrollment. Results Higher levels of saturated fatty acids (SFAs) 14:0 (pooled odds ratio, 1.41 for each 1-standard deviation increase; 95% confidence interval, 1.25, 1.59) and 16:0 (1.19; 1.05, 1.35) were associated with higher odds of GDM. Higher levels of n-6 polyunsaturated fatty acid (PUFA) 18:2n-6 was strongly associated with lower odds of GDM (0.69; 0.60, 0.80). In non-GDM pregnant women, higher SFAs 14:0 and 16:0 but lower n-6 PUFA 18:2n-6 were generally correlated with unfavorable metabolic profiles. Conclusions We documented adverse associations of 14:0 and 16:0 but a protective association of 18:2n-6 with GDM among Chinese pregnant women. Our findings highlight the distinct roles of specific fatty acids in the onset of GDM.

scholarly journals Skipping breakfast before and during early pregnancy and incidence of gestational diabetes mellitus: the Japan Environment and Children's Study

2020 ◽  
Vol 111 (4) ◽  
pp. 829-834 ◽  
Author(s):  
Jia-Yi Dong ◽  
Satoyo Ikehara ◽  
Takashi Kimura ◽  
Meishan Cui ◽  
Yoko Kawanishi ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Dietary Habits ◽  
Daily Consumption ◽  
Breakfast Consumption ◽  
Prepregnancy Bmi ◽  
Study Enrollment

ABSTRACT Background There is little evidence linking breakfast skipping to the incidence of gestational diabetes mellitus (GDM). Objectives We aimed to evaluate the prospective association of breakfast consumption with the incidence of GDM. Methods A total of 103,099 pregnancies were registered during study enrollment (January 2011 to March 2014), involving 97,454 pregnant women from 15 areas across Japan. Singleton pregnant women free of GDM, stroke, heart disease, cancer, and type 1 or type 2 diabetes at the study enrollment were eligible for analysis. We used a self-administered questionnaire to obtain data on demographic information, socioeconomic status, self-rated health status, disease history, lifestyle, and dietary habits of each woman at study enrollment. A semiquantitative FFQ was used for dietary assessment. We used logistic regression to obtain the OR of GDM in relation to breakfast consumption. Results Among 84,669 pregnant women for analysis, 1935 cases of GDM were documented. After adjustment for potential confounding factors including prepregnancy BMI, the multivariable-adjusted ORs of GDM for women who consumed breakfast 5–6 times/wk, 3–4 times/wk, and 0–2 times/wk were 1.09 (95% CI: 0.93, 1.27), 1.14 (95% CI: 0.96, 1.34), and 1.21 (95% CI: 1.05, 1.41), respectively, compared with daily breakfast eaters. The association appeared to be dose dependent (P-trend = 0.006) and was not significantly modified by prepregnancy BMI. Conclusions Breakfast consumption <3 times/wk before and during early pregnancy, compared with daily consumption, was associated with an increased odds of developing GDM.

scholarly journals Body Mass Index and Blood Lipids Underpin The Correlation Between The Age At Menarche and Gestational Diabetes Mellitus

2021 ◽  
Author(s):  
Dongjian Yang ◽  
Ya Yang ◽  
Jingjin Shi ◽  
Xiaoyue Cheng ◽  
Lei Chen ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Age At Menarche

Abstract Background The age of menarche affects the metabolic activities in pregnant women. However, data on the factors that define the association between age at menarche and gestational diabetes mellitus (GDM) remains scant. Methods Logistic regression models coupled with restricted cubic splines were used to analyze the effect of menarche on GDM. We stratified the participants by age at pregnancy, fetal gender, and parity. We interrogated the role of BMI before pregnancy, BMI gain during pregnancy, and blood lipids in early pregnancy in mediating GDM. Results With menarche age ≤ 12 years as the control, women with menarche ages of 13, 14, and ≥ 15 years had 0.91 (95%CI, 0.85 to 0.97), 0.87 (95%CI, 0.81 to 0.93), and 0.85 (95%CI, 0.79 to 0.91) odds ratio for GDM. There were similar and pronounced effects in advanced-age pregnancy, with male fetuses and primiparous women. We showed that pre-pregnancy BMI and blood lipids such as triglycerides, total cholesterol, and low-density lipoprotein in early pregnancy mediate the association between age at menarche and GDM. Conclusion Taken together, our data demonstrated that menarche at early ages fuels the development of GDM. For pregnant women with early menarche should reduce BMI and blood lipid levels before pregnancy.

scholarly journals A Novel Nomogram for Predicting Gestational Diabetes Mellitus During Early Pregnancy

2021 ◽  
Vol 12 ◽  
Author(s):  
Mei Kang ◽  
Hui Zhang ◽  
Jia Zhang ◽  
Kaifeng Huang ◽  
Jinyan Zhao ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Predictive Model ◽  
B Lymphocytes ◽  
Early Pregnancy ◽  
Characteristic Curve ◽  
Patient Counseling ◽  
Calibration Curves

ObjectiveGestational diabetes mellitus (GDM) is a serious threat to maternal and child health. However, there isn’t a standard predictive model for the disorder in early pregnancy. This study is to investigate the association of blood indexes with GDM and establishes a practical predictive model in early pregnancy for GDM.MethodsThis is a prospective cohort study enrolling 413 pregnant women in the department of Obstetrics and Gynecology in Shanghai General Hospital from July 2020 to April 2021.A total of 116pregnantwomen were diagnosed with GDM during the follow-up. Blood samples were collected at early trimester (gestational weeks 12-16) and second trimester(gestational weeks 24-26 weeks). A predictive nomogram was established based on results of the multivariate logistic model and 5-fold cross validation. We evaluate the nomogram by the area under the receiver operating characteristic curve (AUC), calibration curves and decision curve analysis (DCAs).ResultsSignificant differences were observed between the GDM and normal controls among age, pre-pregnancy BMI, whether the pregnant women with complications, the percentage of B lymphocytes, fasting plasma glucose (FPG), HbA1c, triglyceride and the level of progesterone in early trimester. Risk factors used in nomogram included age, pre-pregnancy BMI, FPG, HbA1c, the level of IgA, the level of triglyceride, the percentage of B lymphocytes, the level of progesterone and TPOAb in early pregnancy. The AUC value was 0.772, 95%CI (0.602,0.942). The calibration curves for the probability of GDM demonstrated acceptable agreement between the predicted outcomes by the nomogram and the observed values. DCA curves showed good positive net benefits in the predictive model.ConclusionsA novel predictive nomogram was developed for GDM in our study, which could do help to patient counseling and management during early pregnancy in clinical practice.

scholarly journals EARLY PREGNANCY MATERNAL VITAMIN D DEFICIENCY AND RISK OF GESTATIONAL DIABETES MELLITUS IN LIBYAN PREGNANT WOMEN

2020 ◽  
pp. 1-4
Author(s):  
Omaima H. Getlawi ◽  
Vellanki. Lakshmi narasamma ◽  
Salima M. Hawda ◽  
Musa O. Busarira ◽  
Eman E. Fadeel ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Risk Factor ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Vitamin D3 ◽  
First Trimester ◽  
Vitamin D Levels

Background Vitamin D deficiency is a common occurrence, which affects maternal health during pregnancy. Evidence is accumulating for a role of a low level of vitamin D during the early pregnancy as a risk factor for the development of gestational diabetes mellitus (GDM). Our objectives are to describe the patterns of vitamin D levels in early pregnancy in mothers attending main antenatal services in Ajdabiya city, during the first quarter of the year 2017 and to examine the relationship between vitamin D levels and glucose metabolic derangements in pregnant women among the above-described population. Methods A cohort study was conducted in healthy pregnant women attending routine antenatal care in Ajdabiya city in 2017. All mothers were screened for serum 25 (OH) D level and glycated hemoglobin (HbA1c) and anthropometric by the time of booking during the first trimester (gestational age "GA" 7-15th week of pregnancy). All women with low 25 (OH) D level were screened for GDM with non-fasting post-challenge blood glucose and confirmed by OGTT according to the American Diabetes Association (ADA) classification of GDM criteria in their 2nd trimester. Data was analyzed by using SPSS, IBM 20.0. Results All mothers in the study population were Libyan, their ages ranged from 18-43 years. Parity ranged from nulliparous to P10. More than 60% of mothers were housewives while others were either working or students and considered as having an outdoor lifestyle. In the first trimester, we detected 412 mothers had serum vitamin D3 below normal, the majority of cases had deficient serum 25 (OH) D (391, 94.9%) while 21 (5.1%) women had an insufficient serum 25 (OH) D. Serum 25 (OH) D ranged from 5.9-30.0 ng/ml. In the 2nd trimester, we confirmed 43 (10.43%) pregnant women with GDM out of 391 women with deficient serum 25 (OH) D level. 25 (OH) D deficiency was statistically significant (p = 0.035, OR = 0.963, 95% CI = 0.881-0.996) and associated with all GDM cases. Conclusion We conclude that 25 (OH) D deficiency was significantly correlated with GDM, as a consequence, the deficiency of 25 (OH) D could act as a risk factor for GDM. This result implies the necessity of focusing on vitamin D3 supplementation for women of childbearing age.

scholarly journals Vanadium Exposure in Early Pregnancy and Increased Risk of Gestational Diabetes Mellitus

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 727-727
Author(s):  
Xiyu Cao ◽  
Lixia Lin ◽  
Meng Wu ◽  
Daxiang Xiao ◽  
Menghan Tu ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Density Lipoprotein ◽  
Blood Lipid ◽  
Lipid Profiles ◽  
Dietary Factors ◽  
Lipoprotein Cholesterol

Abstract Objectives To investigate the association between blood vanadium (V) concentrations in early pregnancy and blood lipid profiles and their implications on gestational diabetes mellitus (GDM). Methods We performed a prospective study of 2416 pregnant women from the Tongji Maternal and Child Health Cohort (TMCHC). Demographic characteristics and dietary intake were obtained by questionnaire, and an oral glucose tolerance test (OGTT) was conducted at 24–28 gestational weeks to diagnose GDM. V concentrations and lipid levels were determined by analysis of blood samples, which were collected before 20 gestational weeks, with the use of inductively coupled plasma mass spectrometry (ICP-MS) and commercial assay kits. Multiple linear regression and Logistic regression were used in our analysis. Results The median (inter quartile range) value of V concentrations of all pregnant women was 0.19 (0.24, 0.32) μg/L. After adjusting for demographic and dietary factors, low-density lipoprotein cholesterol (LDL-C), triglycerides (TG) and total cholesterol (TC) were correlated positively with blood concentrations of V (p for trend = 0.002 for LDL-C, p for trend = 0.006 for TG and p for trend = 0.003 for TC) while there was a significant negative correlation between high-density lipoprotein cholesterol (HDL-C) and V concentrations (p for trend < 0.001). In addition, V concentrations were significantly higher in women with GDM than those without GDM (median value: 0.26μg/L vs. 0.24μg/L, p < 0.001). After adjustment for potential confounders, for each one natural logarithmic unit increase in V concentrations, there was 42% [adjusted odds ratio (OR) = 1.42; 95% confidence interval (CI): 1.14, 1.77] increase in the risk of GDM. Women in the highest quartile for V had a 2.24-fold (95% CI: 1.43, 3.52) higher risk of GDM compared with women in the lowest quartile (p for trend = 0.002). Conclusions To our knowledge, this is the first research of associations between blood V levels during pregnancy and blood lipid profiles or GDM. Our study suggests that pregnant women with higher V exposure levels may have higher risks of dyslipidemia and GDM, either evaluated with or without adjustment of demographic information, dietary factors or other common trace elements’ concentrations. Funding Sources Received from the National Program on Basic Research Project of China (NO.2013FY114200) for Nianhong Yang.

Thyroid function in pregnant women; relation to Gestational Diabetes Mellitus (GDM) and Body Mass Index (BMI)

2018 ◽  
Author(s):  
George Simeakis ◽  
Evangelia Vogiatzi ◽  
Panagiota Konstantakou ◽  
Evangelia Zapanti ◽  
Katerina Saltiki ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Body Mass Index ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Body Mass ◽  
Thyroid Function
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