scholarly journals Dietary patterns of pregnant women, maternal excessive body weight and gestational diabetes

2019 ◽  
Vol 53 ◽  
pp. 52 ◽  
Author(s):  
Daniela Cristina Candelas Zuccolotto ◽  
Lívia Castro Crivellenti ◽  
Laércio Joel Franco ◽  
Daniela Saes Sarotelli
Keyword(s):  
Diabetes Mellitus ◽  
Body Weight ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Dietary Patterns ◽  
Regression Models ◽  
Logistic Regression Models ◽  
Excessive Body Weight ◽  
The Relationship

OBJECTIVE: To investigate the relationship between the dietary patterns of pregnant women with maternal excessive body weight and gestational diabetes mellitus . METHODS: A cross-sectional study conducted with a convenience sample of 785 adult pregnant women attended by the Unified Health System of Ribeirão Preto, state of São Paulo, between 2011 and 2012. Two 24-hour dietary recalls, corrected by the multiple source method, were employed. For the classification of the body mass index and the diagnosis of gestational diabetes mellitus, the criteria by Atalah and the World Health Organization were used, respectively. Dietary patterns were obtained by principal component analysis using the Varimax rotation method. The relationship between adherence to patterns, overweight and obesity was analyzed by multinomial logistic regression models and the relationship with gestational diabetes mellitus by adjusted unconditional logistic regression models. RESULTS: We identified four dietary patterns: “traditional Brazilian”; “snacks”; “coffee” and “healthy”. Women with a higher adherence to the “Healthy” (OR = 0.52; 95%CI 0.33–0.83) and “Brazilian Traditional” patterns (OR = 0.61; 95%CI 0.38–0.96) presented a lower chance of obesity, when compared to women with lower adherence, regardless of confounding factors. After adjustment for maternal excessive body weight, there was no association between dietary patterns and gestational diabetes mellitus. CONCLUSIONS: Among the pregnant women, greater adherence to “traditional Brazilian” and “healthy” patterns was inversely associated with obesity, but no relationship was identified with gestational diabetes mellitus after adjusting for excessive body weight. Prospective studies are recommended to investigate the relationship between dietary patterns, overweight and gestational diabetes mellitus, reducing the chance of reverse causality

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.

scholarly journals Association between maternal dietary quality and gestational diabetes mellitus based on the Diet Balance Index for Pregnancy

2021 ◽  
Author(s):  
Shanshan Wang ◽  
Ning Wang ◽  
Can Luo ◽  
Rui Zhao ◽  
Yatan Du ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Blood Glucose ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Dietary Patterns ◽  
Dietary Quality ◽  
Cooking Oil ◽  
Total Fat ◽  
The Relationship ◽  
Balance Index

Abstract Background: Maternal diet is critical to the development of gestational diabetes mellitus (GDM), but sparse studies have applied the Chinese Dietary Balance Index for Pregnancy (DBI-P) to assess the maternal dietary quality and its relationship with GDM. We aimed to examine the maternal dietary quality and its relationship with GDM risk using the newly developed DBI-P. Methods: We included 1122 pregnant women from the Tongji Birth Cohort (TJBC) in Wuhan, China. The semi-quantitative food frequency questionnaire (FFQ) was used to obtain the dietary information during pregnancy. The newly developed DBI-P, including DBI-P components and DBI-P dietary patterns, was applied to comprehensively evaluate the maternal dietary quality. GDM was diagnosed by the 75-g, 2-h oral glucose tolerance test at 24-28 weeks gestation. We used a generalized linear regression model to examine the relationship between DBI-P components and blood glucose levels, and a logistic regression model to examine the relationship between dietary patterns and GDM. Results: A total of 179 participants (16.0%) were diagnosed with GDM. There is a widespread phenomenon of dietary imbalance among pregnant women in Wuhan. With per score increase in nuts and eggs, fasting blood glucose increase by 0.03 mmol/l (95% CI: 0.01, 0.05) and 0.01 mmol/l (95 %CI: 0.01, 0.03), respectively, while per score increase in fruits, 1-h post-load blood glucose decreased by 0.05 mmol/l (95% CI: -0.10, -0.01). Besides, compared with pattern E characterized by higher intake of total energy, total fat, fruits, and cooking oil, pattern B (OR: 0.51, 95% CI: 0.26, 0.99) and pattern C (OR: 0.27, 95% CI: 0.09, 0.81) were associated with a lower GDM risk. The associations between dietary patterns and GDM risk may be partly attributed to the intakes of dietary total fat, carbohydrate, cholesterol, eggs, and cooking oil. Conclusions: Unfavorable dietary quality during pregnancy is associated with a higher risk of GDM. The newly established DBI-P can provide an easy-to-implement tool to assess maternal dietary quality. These findings will provide new insights for the exploration of preferable dietary evaluation methods and prevention and control 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 relationship of flavonoid intake during pregnancy with excess body weight and gestational diabetes mellitus

2019 ◽  
Author(s):  
Mariana de Andrade Balbi ◽  
Lívia Castro Crivellenti ◽  
Daniela Cristina Candelas Zuccolotto ◽  
Laércio Joel Franco ◽  
Daniela Saes Sartorelli
Keyword(s):  
Diabetes Mellitus ◽  
Body Weight ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Excess Body Weight ◽  
Flavonoid Intake ◽  
Relationship Of ◽  
The Relationship

Study on the Correlation Between Homocysteine-related Dietary Patterns and Gestational Diabetes Mellitus Based on Reduced-rank Regression Analysis

2021 ◽  
Author(s):  
Yu-hong Liu ◽  
Ling-peng Lu ◽  
Min-hui Yi ◽  
Chun-yan Shen ◽  
Si-yu Wang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Dietary Patterns ◽  
Venous Blood ◽  
Multivariate Logistic Regression Model ◽  
Reduced Rank Regression ◽  
Rank Regression ◽  
Mode 2 ◽  
The Relationship

Abstract Background: This study aimed to evaluate the association between homocysteine-related dietary patterns and gestational diabetes mellitus. Methods: A total of 488 pregnant women at 24–28 weeks of gestation between January 2019 and December 2020 were included. Demographic characteristics, dietary intake, and multivitamin supplement intake information were collected using a food frequency questionnaire (FFQ); fasting venous blood samples were collected for serum index detection. Serum homocysteine (Hcy), folic acid, and B12 were selected as response variables, and hyperhomocysteinemia (hHcy)-related dietary patterns were extracted using the descending rank regression method. The relationship between the score of hHcy-related dietary patterns and GDM was analyzed using a multivariate logistic regression model. Results: Three hHcy-related dietary patterns were extracted. Only mode 2 had a positive and significant relationship with the risk of developing GDM. After adjusting for confounding factors, the risk of GDM was significantly increased in the highest quartile array compared with the lowest quartile of the pattern (OR=2.96, 95% Confidence Interval: 0.939–9.356, P=0.004). There was no significant correlation between dietary pattern 1 and GDM risk (P>0.05). Conclusions: Homocysteine-related dietary patterns were positively associated with gestational diabetes mellitus. Adjusting dietary patterns may contribute to the intervention and prevention of GDM.

scholarly journals Sufficience serum vitamin D before 20 weeks of pregnancy reduces the risk of gestational diabetes mellitus

2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Chao-Yan Yue ◽  
Chun-Mei Ying
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Protective Factor ◽  
Serum Vitamin ◽  
Confounding Factors ◽  
Serum Vitamin D ◽  
The Relationship

Abstract Objective Our aim was to evaluate the relationship between serum vitamin D levels before 20 weeks of pregnancy and the risk of gestational diabetes mellitus. Methods This study is a retrospective study. We analyzed the relationship between serum 25 (OH) D level before 20 weeks of pregnancy (first antenatal examination) and the risk of gestational diabetes mellitus. Age, parity and pre-pregnancy body mass index were used as confounding factors. 8468 pregnant women were enrolled in this study between January 2018 and March 2020 at the Obstetrics and Gynecology Hospital of Fudan University. Adjusted smoothing splinespline plots, subgroup analysis and multivariate logistic regression analysis was conducted to estimate the relative risk between 25(OH)D and gestational diabetes mellitus. Results After fully adjusting the confounding factors, serum vitamin D is a protective factor in gestational diabetes mellitus (OR = 0.90). Compared with vitamin D deficiency, vitamin D insufficiency (OR = 0.78), sufficience (OR = 0.82) are a protective factor for gestational diabetes mellitus. Conclusion Sufficience vitamin D before 20 weeks of pregnancy is a protective factor for gestational diabetes mellitus. Vitamin D > 20 ng/mL can reduce the risk of GDM, which is not much different from the effect of > 30 ng/mL. The protective effect of vitamin D is more significant in obese pregnant women.

scholarly journals The Relationship between Acceptance of Illness and Quality of Life in Mothers with Gestational Diabetes Mellitus

2019 ◽  
pp. 1-10
Author(s):  
Tahereh Alidoost Balas Baneh ◽  
Homa Mosaffay Khomami ◽  
Leila Mirhadian ◽  
Zahra Atrkarroushan
Keyword(s):  
Quality Of Life ◽  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Significant Relationship ◽  
Two Dimensions ◽  
Acceptance Of Illness ◽  
The Relationship

Introduction: Study on quality of life and acceptance of the illness plays a significant role in the health of pregnant women, especially pregnant women with gestational diabetes mellitus. The aim of this study was to determine the relationship between the acceptance of illness and quality of life in mothers with gestational diabetes mellitus. Methods: This descriptive-analytical study was performed on 150 mothers with gestational diabetes mellitus referred to Al-Zahra Hospital of Rasht, Iran, using available sampling method. Data were collected by a demographic information checklist and 36-Item Short Form Health Survey questionnaire (SF-36) in two dimensions, physical and mental health. Data were analyzed by SPSS 20 software and using chi-squared, Fisher's exact, and Mantel-Haenszel tests. Results: Among the mothers, 37.3% accepted the illness and 62.7% did not. There was a significant relationship between the quality of life status or score and the gestational age (p = 0.019), surgical history (p = 0.005), number of operations (p = 0.002) and previous history of diabetes in previous pregnancies (p = 0.037). However, with the control of individual and social variables, Mantel-Haenszel test did not show significant relationship between acceptance of illness and the quality of life of the mothers. On the other hand, the relationship between acceptance of illness and quality of life was not significant, based on χ2 test. Conclusion: It is suggested that training classes be held before and during pregnancy for mothers at the reproductive age so that they have the readiness and knowledge to deal with the disease properly.

scholarly journals Relationship Between Insulin Resistance and Mean Platelet Volume in Gestational Diabetes Mellitus

2015 ◽  
Vol 7 (02) ◽  
pp. 112-115 ◽  
Author(s):  
Suleyman Baldane ◽  
Suleyman Hilmi Ipekci ◽  
Aysegul Kebapcilar
Keyword(s):  
Diabetes Mellitus ◽  
Insulin Resistance ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Mean Platelet Volume ◽  
Hypoglycemic Agents ◽  
Platelet Volume ◽  
Positive Correlation ◽  
The Relationship

ABSTRACT Objectives: A few studies have investigated the relationship between mean platelet volume (MPV) and gestational diabetes mellitus (GDM), and in these studies the relationship between MPV and insulin resistance has not been analyzed. Our aim in this study was to compare MPV values of the pregnant women with or without GDM and evaluate the relationship between MPV and homeostasis model assessment insulin resistance index (HOMA-IR) in pregnant women. Materials and Methods: One hundred and fourteen with GDM measurements being obtained before any dietary advice or therapy with insulin or hypoglycemic agents were given, and 76 with healthy pregnant women were included the study. Results: In the group with GDM, MPV value was found to be significantly higher than that of the control group (10.2 fl [8.0–12.2] vs. 9.9 fl [5.81–10.9], P = 0.004). HOMA-IR value was detected to be significantly higher in the group with GDM (2.46 [1.5–5.88] vs. 1.30 [0.17–2.92], P < 0.001). A positive correlation between MPV and HOMA-IR was found (r = 0.30, P = 0.002). Conclusion: We have shown that MPV was significantly elevated in GDM patients when compared to healthy pregnant women. Furthermore, we found that there was a positive correlation between MPV and HOMA-IR.

scholarly journals Hypovitaminosis D Is Associated with Some Metabolic Indices in Gestational Diabetes Mellitus

2020 ◽  
Vol 5 (2) ◽  
pp. 1-14
Author(s):  
Ayobola Abimbola Sonuga ◽  
Oyebola Oluwagbemiga Sonuga
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Glucose Intolerance ◽  
Serum Insulin ◽  
Hypovitaminosis D ◽  
Control Group ◽  
The Relationship

Background: Gestational diabetes mellitus (GDM), a pregnancy complication, is defined as any degree of glucose intolerance with onset or first recognition during pregnancy. Vitamin D deficiency and insufficiency has recently been recognized as a contributing factor to the pathogenesis of GDM, and this link might be associated with hyperglycemia, insulin resistance, and inflammation, which are implicated in GDM. Objectives: This study aims at investigating the relationship between vitamin D, fasting plasma glucose (FPG), insulin, zinc, ferritin, and high-sensitivity C-reactive protein (CRP) in GDM. Method: A case-control study in which 80 women attending the antenatal clinic of University College Hospital (UCH), Ibadan, Nigeria, were recruited; the women were grouped into controls (40 nondiabetic pregnant women) and cases (40 pregnant women with GDM). Blood samples were taken at the second trimester, and metabolites were quantified by standard laboratory methods. Student’s t test and Pearson correlation were used to compare variables and determine the relationship between variables, respectively. Results: Results showed significant (p < 0.05) low levels of serum vitamin D and zinc, and significant (p < 0.05) higher levels of FPG and serum insulin, ferritin, and CRP in the GDM group compared to the control group. In the GDM group, a positive weak relationship was observed between vitamin D and zinc (r = 0.18, p < 0.05), while vitamin D was inversely correlated with FPG, serum insulin, ferritin, and CRP (r = –0.23, –0.21, –0.20, –0.46, respectively, p < 0.05). Conclusion: This study suggests that hypovitaminosis D might be associated with glucose intolerance, insulin insensitivity, and inflammation, which are factors implicated in the development and progression of GDM.

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