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Xia L, Yang Z, Mu Q, Ji Y, Lyu J. Risk Factors for Gestational Diabetes Mellitus in Mainland China: A Systematic Review and Meta-Analysis. Diabetes Metab Syndr Obes 2025; 18:565-581. [PMID: 40012839 PMCID: PMC11863794 DOI: 10.2147/dmso.s502043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2024] [Accepted: 01/28/2025] [Indexed: 02/28/2025] Open
Abstract
Objective This study aimed to identify and evaluate risk factors associated with gestational diabetes mellitus (GDM) in mainland China. Methods Eight electronic databases were searched for literature published from January 2010 until December 2023. Heterogeneity was quantified using I2. Data were pooled by fixed or random effects models and expressed as odds ratio and 95% confidence intervals. Results A total of 69 observational studies with an overall sample size of 2,138,032 Chinese women and 219,303 patients with GDM were included in the analysis. After adjusting confounders, older maternal age (OR = 1.12, 95% CI: 1.09-1.15), maternal age ≥35 years (OR = 1.96, 95% CI: 1.74-2.21), higher pre-pregnancy body mass index (OR = 1.24, 95% CI: 1.17-1.32), pre-pregnancy overweight (OR = 1.78, 95% CI: 1.64-1.92) or obesity (OR 2.52, 95% CI: 2.06-3.08), family history of diabetes (OR = 1.85, 95% CI: 1.58-2.17), history of GDM (OR = 4.09, 95% CI: 2.13-7.82), and elevated levels of fasting plasma glucose (OR = 2.54, 95% CI: 2.13-3.01), hemoglobin (OR = 1.47, 95% CI: 1.14-1.89) and serum triglycerides (OR = 1.69, 95% CI: 1.31-2.16) in early pregnancy were associated with an increased risk of GDM in mainland China. But gravidity ≥2 (OR = 1.06, 95% CI: 0.89-1.27), conception by assisted reproductive technology analyses (OR = 1.54, 95% CI: 0.95-2.51) were not associated with GDM, and parity ≥1 (OR = 0.88, 95% CI: 0.82-0.94) was related to lower risk of GDM. In available unadjusted studies, history of abortion (OR = 1.34, 95% CI: 1.31-1.37) increased risk of GDM, non-Han ethnicity (OR = 0.78, 95% CI: 0.59-1.03) and high school or lower education level (OR1.09, 95% CI: 0.94-1.26) showed no correlation with GDM. Conclusion The key risk factors for GDM in mainland China included older maternal age, maternal age ≥35 years, pre-pregnancy overweight or obesity, family history of diabetes, history of GDM, elevated levels of FPG, Hb, and serum TG in early pregnancy. Early identification and intervention for women at high risk should be performed to prevent the development of GDM.
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Affiliation(s)
- Linjuan Xia
- College of Nursing, Dali University, Dali, Yunnan, 671000, People’s Republic of China
| | - Zehua Yang
- Department of Obstetrics and Gynecology, The Second People’s Hospital of Dali City, Dali, Yunnan, 671003, People’s Republic of China
| | - Qincai Mu
- Department of Obstetrics, The First Affiliated Hospital of Dali University, Dali, Yunnan, 671000, People’s Republic of China
| | - Yulin Ji
- College of Nursing, Dali University, Dali, Yunnan, 671000, People’s Republic of China
| | - Juncheng Lyu
- School of Public Health, Shandong Second Medical University, Weifang, Shandong, 261053, People’s Republic of China
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Chen GD, Li PS, Zhou ZX, Pang TT, Wang HY, Gou XY, Ye SX, Lin DX, Fan DZ, Liu ZP. Associations of maternal serum concentration of iron-related indicators with gestational diabetes mellitus in Chinese: A pilot prospective cohort study. J Trace Elem Med Biol 2024; 86:127514. [PMID: 39216432 DOI: 10.1016/j.jtemb.2024.127514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2024] [Revised: 08/28/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
BACKGROUND We aimed to provide a comprehensive understanding of the associations between iron metabolism and gestational diabetes mellitus (GDM) by examining multiple iron-related indicators. METHODS We conducted a prospective study involving 907 Chinese pregnant women. Enzyme-linked immunosorbent assay (ELISA) was used to measure serum concentrations of iron-related indicators during the first trimester (≤ 14 weeks of gestation). GDM outcomes were measured through oral glucose tolerance tests (OGTT) conducted between weeks 24 and 28 of gestation. RESULTS Subjects with iron-related indicators below the 10th percentile (except for serum iron and soluble transferrin receptor) had a higher risk of GDM compared to normal subjects (10th-90th percentiles). The ORs (95 %CI; p-value) were 1.88 (1.10, 3.20; P=0.020) for ferritin, 1.88 (1.10, 3.19; P=0.020) for hepcidin. Higher levels of ferritin (> 90th percentile) were associated with a higher risk of abnormal fasting blood glucose, while lower levels (< 10th percentile) of ferritin, hepcidin, and transferrin were associated with a higher risk of one-hour postprandial glucose ≥ 8.6 mmol/L in the OGTT. CONCLUSIONS Lower levels (< 10th percentiles) of several iron-related indicators (ferritin, hepcidin, and transferrin) were associated with a higher risk of GDM and abnormal blood glucose compared to normal subjects.
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Affiliation(s)
- Geng-Dong Chen
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China.
| | - Peng-Sheng Li
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Zi-Xing Zhou
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Ting-Ting Pang
- Department of Medical Records, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Hai-Yan Wang
- Biobank of Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Xiao-Yan Gou
- Biobank of Foshan Institute of Fetal Medicine, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Shao-Xin Ye
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Dong-Xin Lin
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Da-Zhi Fan
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
| | - Zheng-Ping Liu
- Foshan Institute of Fetal Medicine, Department of Obstetrics, Foshan Women and Children Hospital, Foshan city, Guangdong Province 528000, China; Department of Obstetrics, Foshan Women and Children Hospital, Foshan, Guangdong 528000, China
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Chen L, Zhu Y. Gestational Diabetes Mellitus and Subsequent Risks of Diabetes and Cardiovascular Diseases: the Life Course Perspective and Implications of Racial Disparities. Curr Diab Rep 2024; 24:244-255. [PMID: 39230861 PMCID: PMC11985260 DOI: 10.1007/s11892-024-01552-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/19/2024] [Indexed: 09/05/2024]
Abstract
PURPOSE OF REVIEW Gestational diabetes mellitus (GDM) is one of the most common pregnancy complications worldwide and the prevalence is continuously rising globally. Importantly, GDM is not an isolated complication of pregnancy. Growing evidence suggests that individuals with GDM, compared to those without GDM, have an increased risk of subsequent type 2 diabetes (T2D) and cardiovascular diseases (CVD). Substantial racial and ethnic disparities exist in the risk of GDM. However, the role of race and ethnicity in the progression from GDM to T2D and CVD remains unclear. The purpose of the current review is to summarize recent research about GDM and its life-course impacts on cardiometabolic health, including 1) the peak time of developing T2D and CVD risks after GDM, 2) the racial and ethnic disparities in the risk cardiometabolic diseases after GDM, 3) the biological plausibility and underlying mechanisms, and 4) recommendations for screening and prevention of cardiometabolic diseases among individuals with GDM, collectively to provide an updated review to guide future research. RECENT FINDINGS Growing evidence has indicated that individuals with GDM had greater risks of T2D (7.4 to 9.6 times), hypertension (78% higher), and CDV events (74% higher) after GDM than their non-GDM counterparts. More recently, a few studies also suggested that GDM could slightly increase the risk of mortality. Available evidence suggests that key CVD risk factors such as blood pressure, plasma glucose, and lipids levels are all elevated as early as < 1 year postpartum in individuals with GDM. The risk of T2D and hypertension is likely to reach a peak between 3-6 years after the index pregnancy with GDM compared to normal glycemia pregnancy. Cumulative evidence also suggests that the risk of cardiometabolic diseases including T2D, hypertension, and CVD events after GDM varies by race and ethnicity. However, whether the risk is higher in certain racial and ethnic groups and whether the pattern may vary by the postpartum cardiometabolic outcome of interest remain unclear. The underlying mechanisms linking GDM and subsequent T2D and CVD are complex, often involving multiple pathways and their interactions, with the specific mechanisms varying by individuals of different racial and ethnic backgrounds. Diabetes and CVD risk screening among individuals with GDM should be initiated early during postpartum and continue, if possible, frequently. Unfortunately, adherence to postpartum glucose testing with either obstetrician or primary care providers remained poor among individuals with GDM. A life-course perspective may provide critical information to address clinical and public health gaps in postpartum screening and interventions for preventing T2D and CVD risks in individuals with GDM. Future research investigating the racial- and ethnic-specific risk of progression from GDM to cardiometabolic diseases and the role of multi-domain factors including lifestyle, biological, and socio-contextual factors are warranted to inform tailored and culture-appropriate interventions for high-risk subpopulations. Further, examining the barriers to postpartum glucose testing among individuals with GDM is crucial for the effective prevention of cardiometabolic diseases and for enhancing life-long health.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, University of California Los Angeles (UCLA), Los Angeles, CA, 90095, USA.
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA
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Wu H, Wang Q, Chen Y, Chen D. The association between circulating phenylalanine and the temporal risk of impaired insulin markers in gestational diabetes mellitus. Mol Genet Metab Rep 2024; 40:101090. [PMID: 38974841 PMCID: PMC11227027 DOI: 10.1016/j.ymgmr.2024.101090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Revised: 05/01/2024] [Accepted: 05/02/2024] [Indexed: 07/09/2024] Open
Abstract
Background We aimed to contrast plasma amino acid concentrations in pregnant women with Gestational Diabetes Mellitus (GDM) to those without, to analyze the link between plasma amino acid concentrations, GDM, insulin resistance, and insulin secretion at 24-28 weeks of gestation. Methods The research employed a retrospective case-control study design at a single center. Basic demographic and laboratory data were procured from the hospital's case system. The study encompassed seventy women without gestational diabetes mellitus (GDM) and thirty-five women with GDM matched in a 1-to-2 ratio for age and pre-pregnancy BMI. Utilizing high-performance liquid chromatography-mass spectrometry (HPLC-MS), peripheral fasting plasma amino acid concentrations in these women, during mid-pregnancy, were duly measured. We carefully evaluated the significant differences in the quantitative data between the two groups and developed linear regression models to assess the independent risk factors affecting insulin resistance and insulin secretion. Results Significant variations in insulin secretion and resistance levels distinguished GDM Group from the non-GDM group at three distinct time points, alongside relatively elevated serum Glycosylated Hemoglobin (HbA1c) levels. Triglycerides (TG) were also significantly increased in those with GDM during adipocytokine observations. Apart from glutamic acid and glutamine, the concentrations of the remaining 16 amino acids were notably increased in GDM patients, including all branched chain amino acids(BCAAs) and aromatic amino acids(AAAs). Ultimately, it was ascertained that fasting serum phenylalanine levels were independent risk factors affecting insulin resistance index and insulin secretion at various phases. Conclusions Various fasting serum amino acid levels are markedly increased in patients with GDM, specifically phenylalanine, which may play role in insulin resistance and secretion.
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Affiliation(s)
- Hao Wu
- Department of Obstetrics Central Laboratory, Women's Hospital School of Medicine Zhejiang University, China
| | - Qiong Wang
- Department of Maternity Inpatient, Women's Hospital School of Medicine Zhejiang University, China
| | - Yanmin Chen
- Department of Maternity Inpatient, Women's Hospital School of Medicine Zhejiang University, China
| | - Danqing Chen
- Department of Maternity Inpatient, Women's Hospital School of Medicine Zhejiang University, China
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Doğan ME, Erkan Pota Ç. Investigation of the effects of gestational diabetes and hypertension on retinal and choroidal microvascular circulation using swept-source optical coherence tomography angiography. Microvasc Res 2024; 152:104622. [PMID: 37981229 DOI: 10.1016/j.mvr.2023.104622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 10/31/2023] [Accepted: 10/31/2023] [Indexed: 11/21/2023]
Abstract
PURPOSE The aim of this study was to investigate the microvascular changes in the retina and choroid in gestational diabetes mellitus (GDM) and pregnancy-induced hypertension (PIH) and to compare the results with those of healthy pregnant subjects. METHODS Twenty-nine pregnant subjects with coexisting GDM and PIH (group 1) and 36 healthy pregnant subjects (group 2) were enrolled in the study. All subjects were examined by optical coherence tomography (OCT) and angiography (OCTA). The retina, retinal nerve fiber layer (RNFL), ganglion cell layer (GCL), choroidal thickness (CT), superficial capillary plexus (SCP), deep capillary plexus (DCP), choriocapillaris (CC) vascular density (VD), and foveal avascular zone (FAZ) were measured. RESULTS We observed that the values of CT and VD were lower in group 1 than in group 2. No significant difference was found between groups in RT, FAZ area and CC VD. SCP and DCP VD values were higher in group 2 in all quadrants. We observed a significant increase in FAZ area and CC VD with increasing systolic blood pressure. No correlation was observed between diastolic blood pressure and FBS with other parameters. In group 1, FAZ area was significantly higher in the diet-treated group than in the insulin-treated group. CONCLUSION Monitoring and treatment of pregnant women with PIH and GDM is important because of the risks that may occur during pregnancy. We believe that changes in microvascular circulation can be detected noninvasively with OCTA, even in the absence of clinical or retinal findings.
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Affiliation(s)
- Mehmet Erkan Doğan
- Department of Ophthalmology, Akdeniz University Faculty of Medicine, Antalya, Turkey
| | - Çisil Erkan Pota
- Department of Ophthalmology, Manavgat State Hospital, Antalya, Turkey.
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Bunga PK, Balaga VS, Raju R, Suvvari TK, Sivaraj N, Narayan G, Ramadugu R, Arigapudi N, Kande MB, Panchanani A. Association of MTHFD1 G1958A Polymorphism with Gestational Diabetes Mellitus. Cureus 2024; 16:e53287. [PMID: 38435941 PMCID: PMC10905650 DOI: 10.7759/cureus.53287] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/31/2024] [Indexed: 03/05/2024] Open
Abstract
Background The MTHFD1 G1958A polymorphism is a common variation in the gene encoding methylenetetrahydrofolate dehydrogenase 1 (MTHFD1), an enzyme crucial for folate metabolism. This study investigated the association between the MTHFD1 G1958A polymorphism, which is involved in folate metabolism, and gestational diabetes mellitus (GDM) risk. Methods A case-control study was conducted and 304 pregnant women (152 with gestational diabetes as cases and 152 healthy pregnant as controls) participated in the study. The polymerase chain reaction-restriction fragment length polymorphisms (PCR-RFLP) techniques were used to determine the MTHFD1 1958G>A polymorphism genotypes. Results Analysis of genotype frequencies revealed a statistically significant difference (p-value < 0.05) between the GDM group and the control group, suggesting a potential association between this gene variant and the development of GDM. Interestingly, while allele frequencies alone did not show a significant association with GDM risk, analysis in a recessive model (both severe and mild forms) demonstrated a strong link between the homozygous AA genotype and increased susceptibility to GDM. Conclusion This study provides the first evidence linking the MTHFD1 G1958A polymorphism and GDM risk in an Indian setting. These findings warrant further investigation into the functional impact of the MTHFD1 G1958A polymorphism and its potential role in the pathogenesis of GDM.
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Affiliation(s)
- Papa Kusuma Bunga
- Research and Development, Great Eastern Medical School & Hospital, Srikakulam, IND
| | - Vijaya Sirisha Balaga
- Obstetrics and Gynaecology, Great Eastern Medical School & Hospital, Srikakulam, IND
| | - Riya Raju
- Internal Medicine, Maharajah Institute of Medical Sciences, Vizianagaram, IND
| | - Tarun Kumar Suvvari
- General Medicine, Rangaraya Medical College, Kakinada, IND
- Research, Squad Medicine and Research (SMR), Visakhapatnam, IND
| | - Nagarjuna Sivaraj
- Research and Development, Great Eastern Medical School & Hospital, Srikakulam, IND
| | - Gaurang Narayan
- Obstetrics and Gynecology, Indira Gandhi Government Medical College & Hospital, Nagpur, IND
| | - Rithika Ramadugu
- Surgery, Kamineni Academy of Medical Science And Research Centre, Hyderabad, IND
| | - Nithya Arigapudi
- Genetics, Dr. Pinnamaneni Siddhartha Institute of Medical Sciences & Research Foundation, Vijayawada, IND
| | - Mahesh Babu Kande
- Internal Medicine, Great Eastern Medical School & Hospital, Srikakulam, IND
| | - Arun Panchanani
- Internal Medicine, Great Eastern Medical School & Hospital, Srikakulam, IND
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Kjerpeseth LJ, Hjellvik V, Gulseth HL, Karlstad Ø, Lopez-Doriga Ruiz P, Wensaas KA, Furu K. Prevalence and treatment of gestational diabetes in Norway 2010-2020. Diabetes Res Clin Pract 2024; 207:111025. [PMID: 38000666 DOI: 10.1016/j.diabres.2023.111025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Revised: 10/12/2023] [Accepted: 11/21/2023] [Indexed: 11/26/2023]
Abstract
AIMS Estimate prevalence of gestational diabetes mellitus (GDM) and its treatment in Norway 2010-2020 and explore impact of new national GDM guidelines in 2017. METHODS We identified women giving birth in a nationwide cohort study using registers on births, prescriptions, education, primary and specialist care. For each year, we estimated prevalence of GDM overall, by BMI, age, education, and mother's birthplace; proportions of GDM pregnancies receiving pharmacological treatment; and distribution of the gestational week when GDM was diagnosed. RESULTS In 633,169 pregnancies, prevalence of GDM increased from 2.6 % in 2010 to 6.0 % in 2016, then stabilized. Similar patterns were seen across strata of BMI, age, education, and maternal birthplace, although prevalence was higher with higher BMI, higher age, lower education, and mothers born in Asia, Africa, or Middle East. The proportion of the GDM population pharmacologically treated increased from 11.6 % in 2010 to 13.6 % in 2016 and 31.6 % in 2020. GDM was diagnosed in recommended gestational week 24-28 in 19 % versus 45 % of GDM pregnancies in 2010 and 2020, respectively. CONCLUSIONS Both the proportion diagnosed with GDM within recommended time of screening, and who received pharmacological treatment, increased substantially following new guidelines in 2017. Prevalence of GDM increased from 2010 to 2016, then plateaued.
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Affiliation(s)
- Lars J Kjerpeseth
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
| | - Vidar Hjellvik
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
| | - Hanne L Gulseth
- Division of Mental and Physical Health, Norwegian Institute of Public Health, Oslo, Norway.
| | - Øystein Karlstad
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
| | | | - Knut-Arne Wensaas
- Research Unit for General Practice, NORCE Norwegian Research Centre AS, Bergen, Norway.
| | - Kari Furu
- Department of Chronic Diseases, Norwegian Institute of Public Health, Oslo, Norway.
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Orós M, Perejón D, Serna MC, Siscart J, Leon J, Ortega M, Salinas-Roca B. Prevalence and risk factors of gestational diabetes in the health region of Lleida: a retrospective observational cohort study. J Endocrinol Invest 2023; 46:2639-2646. [PMID: 37330946 PMCID: PMC10632204 DOI: 10.1007/s40618-023-02120-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 05/20/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Diabetes is a very common metabolic condition during pregnancy. The number of cases increases with age and obesity. The prevalence of pre-gestational diabetes and gestational diabetes (GD) differs between different ethnic groups. OBJECTIVE The aim of the study was to analyse the prevalence of pre-gestational diabetes and GD in the health region of Lleida. We also studied the GD risk factors during pregnancy according to the country of origin of the pregnant woman. METHODS We performed a retrospective observational cohort study among pregnant women between 2012 and 2018 in the health region of Lleida. A multivariate model was performed with the different variables analysed by calculating the regression coefficient and its 95% confidence interval (CI). RESULTS In our sample of 17,177 pregnant women, we observed a prevalence of pre-gestational diabetes and GD of 8.2% and 6.5%, respectively. We found a relationship of gestational diabetes with different factors: age, with 6.8% in 30-34 year-old women and 11.3% in women over 35 (OR 1.78 and 3.29, respectively); overweight, with 8.29% (OR 1.89); and obesity, with 12.9% (OR 3.15). Finally, women from Asia and the Middle East and the Maghreb had a higher risk of diabetes, with 12.2% (OR 2.1) and 9.91% (OR 1.3), respectively, and Sub-Saharan women had a lower risk of it 6.07% (OR 0.71). CONCLUSIONS GD has different risk factors, such as age, overweight, and obesity. Non-related conditions include hypothyroidism, arterial hypertension, and dyslipidaemia. Finally, pregnant women from the Maghreb, and Asia and the Middle East, are at higher risk of developing diabetes during pregnancy; meanwhile, Sub-Saharan origin is protector factor.
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Affiliation(s)
- M Orós
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut, Lleida, Spain
- Centre de Salut Eixample, Institut Català de la Salut, Lleida, Spain
- Departament de Medicina Familiar, Universitat de Lleida, Lleida, Spain
| | - D Perejón
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut, Lleida, Spain
- Centre de Salut Eixample, Institut Català de la Salut, Lleida, Spain
- Departament de Medicina Familiar, Universitat de Lleida, Lleida, Spain
| | - M C Serna
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut, Lleida, Spain
- Centre de Salut Eixample, Institut Català de la Salut, Lleida, Spain
- Departament de Medicina Familiar, Universitat de Lleida, Lleida, Spain
| | - J Siscart
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut, Lleida, Spain
- Centre de Salut Eixample, Institut Català de la Salut, Lleida, Spain
- Departament de Medicina Familiar, Universitat de Lleida, Lleida, Spain
| | - J Leon
- Departament d'Endocrinologia i Nutrició, Hospital Universitari Arnau de Vilanova, Lleida, Spain
- Grup d'investigació en Immunologia i Metabolisme (GRIM), Institut de Recerca Biomèdica, Lleida, Spain
| | - M Ortega
- Institut d'Investigació en Atenció Primària IDIAP Jordi Gol, Institut Català de la Salut, Lleida, Spain
- Departament de Medicina Familiar, Universitat de Lleida, Lleida, Spain
- Grup de Recerca Terapèutica en Atenció Primària (GRETAPS), Institut Català de la Salut, Lleida, Spain
| | - B Salinas-Roca
- Department of Nursing and Physiotherapy, University of Lleida, Montserrat Roig 2, 25198, Lleida, Spain.
- Global Research On Wellbeing (GRoW) Research Group, Blanquerna School of Health Science, Ramon Llull University, Padilla, 326-332, 08025, Barcelona, Spain.
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Srivastava H, Mathe P, Mondal N, Srivastava S, Madhu SV, Agarwal R. An Evaluation of the Second Trimester Thyroid Function Test in Gestational Diabetes Mellitus: A Case-Control Study. Cureus 2023; 15:e41858. [PMID: 37581158 PMCID: PMC10423316 DOI: 10.7759/cureus.41858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2023] [Indexed: 08/16/2023] Open
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is defined as glucose intolerance in a female with its onset or first recognition during pregnancy. Females with GDM are at higher risk of developing antenatal complications like preeclampsia during pregnancy and increased risk of type 2 diabetes as well as cardiovascular disorders later in their life. Maternal thyroid changes in the first and second trimesters of pregnancy have been widely related to the risk of GDM. Hypothyroidism during pregnancy is associated with early and late complications like abortions, anaemia, gestational hypertension, placental abruption and postpartum haemorrhage, impaired infant neurodevelopment, and low birth weight. OBJECTIVES This study aims to compare the thyroid function test (TFT) (serum fT3, fT4, TSH) and thyroid peroxidase antibody (anti TPO) between GDM and non GDM pregnant women in the second trimester and to correlate the adverse pregnancy outcomes with TFT in GDM and non GDM women. METHODS A nested case-control study was done in the Department of Obstetrics and Gynaecology, Department of Endocrinology, Department of Paediatrics, University College of Medical Sciences, and Guru Teg Bahadur (GTB) Hospital, Delhi. About 350 pregnant women from 13 weeks till 28 weeks period of gestation were screened out of which 40 GDM and 40 non GDM women were selected after performing an oral glucose tolerance test (OGTT). A TFT and anti TPO test were compared between GDM and non GDM participants. Furthermore, various parameters like sociodemographic profile, mode of delivery, pregnancy outcomes, and adverse maternal and adverse neonatal outcomes were compared. CONCLUSION The mean age of GDM women is found to be more than non GDM women. The mean TFT values are significantly lower in women with GDM as compared to non GDM women. In addition, higher values of anti TPO antibody (thyroid autoantibody) were found in the GDM group which aids in insulin resistance. Maternal complications like polyhydramnios, preterm labour, and pregnancy-induced hypertension were found to be more frequent in the GDM group compared to the non GDM group, but the results were statistically not significant. There was a higher incidence of caesarean delivery in the GDM group. Thus, we recommend the implementation of routine thyroid function profile testing in all antenatal females especially those who are at risk of developing GDM. Our study is one of the few Indian studies to evaluate the association of TFT in GDM, and we recommend similar research with a larger sample size and postnatal follow-up.
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Affiliation(s)
- Himsweta Srivastava
- Department of Obstetrics and Gynaecology, University College of Medical Sciences, New Delhi, IND
| | - Priyanka Mathe
- Department of Obstetrics and Gynaecology, University College of Medical Sciences, New Delhi, IND
| | - Nibedita Mondal
- Department of Obstetrics and Gynaecology, Dr. Hedgewar Arogya Sansthan, New Delhi, IND
| | - Sushil Srivastava
- Department of Paediatrics, University College of Medical Sciences, New Delhi, IND
| | - S V Madhu
- Department of Endocrinology, University College of Medical Sciences, New Delhi, IND
| | - Rachna Agarwal
- Department of Obstetrics and Gynaecology, University College of Medical Sciences, New Delhi, IND
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Gerbier E, Favre G, Maisonneuve E, Ceulemans M, Winterfeld U, Dao K, Schmid CPR, Jenkinson SP, Niznik B, Baud D, Spoendlin J, Panchaud A. Antidiabetic Medication Utilisation before and during Pregnancy in Switzerland between 2012 and 2019: An Administrative Claim Database from the MAMA Cohort. J Diabetes Res 2023; 2023:4105993. [PMID: 37206113 PMCID: PMC10191745 DOI: 10.1155/2023/4105993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 04/19/2023] [Accepted: 04/20/2023] [Indexed: 05/21/2023] Open
Abstract
Background The incidence of diabetes mellitus (both pregestational and gestational) is increasing worldwide, and hyperglycemia during pregnancy is associated with adverse pregnancy outcomes. Evidence on the safety and efficacy of metformin during pregnancy has accumulated resulting in an increase in its prescription in many reports. Aims We aimed to determine the prevalence of antidiabetic drug use (insulins and blood glucose-lowering drugs) before and during pregnancy in Switzerland and the changes therein during pregnancy and over time. Methods We conducted a descriptive study using Swiss health insurance claims (2012-2019). We established the MAMA cohort by identifying deliveries and estimating the last menstrual period. We identified claims for any antidiabetic medication (ADM), insulins, blood glucose-lowering drugs, and individual substances within each class. We defined three groups of pattern use based on timing of dispensation: (1) dispensation of at least one ADM in the prepregnancy period and in or after trimester 2 (T2) (pregestational diabetes); (2) dispensation for the first time in or after T2 (GDM); and (3) dispensation in the prepregnancy period and no dispensation in or after T2 (discontinuers). Within the pregestational diabetes group, we further defined continuers (dispensation for the same group of ADM) and switchers (different ADM group dispensed in the prepregnancy period and in or after T2). Results MAMA included 104,098 deliveries with a mean maternal age at delivery of 31.7. Antidiabetic dispensations among pregnancies with pregestational and gestational diabetes increased over time. Insulin was the most dispensed medication for both diseases. Between 2017 and 2019, less than 10% of pregnancies treated for pregestational diabetes continued metformin rather than switching to insulin. Metformin was offered to less than 2% of pregnancies to treat gestational diabetes (2017-2019). Conclusion Despite its position in the guidelines and the attractive alternative that metformin represents to patients who may encounter barriers with insulin therapy, there was reluctance to prescribe it.
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Affiliation(s)
- Eva Gerbier
- Service of Pharmacy, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
- Materno-Fetal and Obstetrics Research Unit, Department “Woman-Mother-Child”, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Guillaume Favre
- Materno-Fetal and Obstetrics Research Unit, Department “Woman-Mother-Child”, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Emeline Maisonneuve
- Materno-Fetal and Obstetrics Research Unit, Department “Woman-Mother-Child”, Lausanne University Hospital, 1011 Lausanne, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
| | - Michael Ceulemans
- Teratology Information Service, Pharmacovigilance Centre Lareb, 's-Hertogenbosch, 5237 MH Hertogenbosch, Netherlands
- Department of Pharmaceutical and Pharmacological Sciences, KU Leuven, 3000 Leuven, Belgium
- L-C&Y, KU Leuven Child and Youth Institute, 3000 Leuven, Belgium
| | - Ursula Winterfeld
- Swiss Teratogen Information Service and Clinical Pharmacology Service, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Kim Dao
- Swiss Teratogen Information Service and Clinical Pharmacology Service, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Christian P. R. Schmid
- Christian P.R. Schmid, CSS Institute for Empirical Health Economics, 6002 Lucerne, Switzerland
- Department of Economics, University of Bern, 3012 Bern, Switzerland
| | - Stephen P. Jenkinson
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
| | - Bartlomiej Niznik
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
| | - David Baud
- Materno-Fetal and Obstetrics Research Unit, Department “Woman-Mother-Child”, Lausanne University Hospital, 1011 Lausanne, Switzerland
| | - Julia Spoendlin
- Hospital Pharmacy, University Hospital Basel, Basel, Switzerland
- Basel Pharmacoepidemiology Unit, Division of Clinical Pharmacy and Epidemiology, Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Alice Panchaud
- Service of Pharmacy, Lausanne University Hospital and University of Lausanne, 1011 Lausanne, Switzerland
- Institute of Primary Health Care (BIHAM), University of Bern, 3012 Bern, Switzerland
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11
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Sun M, Luo M, Wang T, Wei J, Zhang S, Shu J, Zhong T, Liu Y, Chen Q, Zhu P, Qin J. Effect of the interaction between advanced maternal age and pre-pregnancy BMI on pre-eclampsia and GDM in Central China. BMJ Open Diabetes Res Care 2023; 11:11/2/e003324. [PMID: 37085280 PMCID: PMC10124205 DOI: 10.1136/bmjdrc-2023-003324] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 03/30/2023] [Indexed: 04/23/2023] Open
Abstract
INTRODUCTION To investigate the independent and combined effects of advanced maternal age and pre-pregnancy body mass index (BMI) on the risk of pre-eclampsia and gestational diabetes mellitus (GDM). RESEARCH DESIGN AND METHODS Logistic regression models were used to estimate the OR and 95% CIs of pre-eclampsia and GDM with advanced maternal age and pre-pregnancy BMI, respectively, and the interaction between advanced maternal age and pre-pregnancy BMI. We also used causal mediation analysis to assess the mediating role of pre-pregnancy BMI on maternal age-pre-eclampsia/GDM associations. RESULTS In this study, 788 cases (2.31%) were diagnosed with pre-eclampsia and 5430 cases (15.92%) were diagnosed with GDM. We found that advanced maternal age was associated with a higher risk for pre-eclampsia and GDM, with adjusted ORs (aORs) of 1.74 (95% CI 1.49-2.05) and 1.76 (95% CI 1.65-1.89) after adjusting for potential confounders, respectively. In addition, maternal pre-pregnancy overweight/obesity was associated with the risk of pre-eclampsia and GDM, with the corresponding aORs of 3.64 (95% CI 3.12-4.24) and 1.71 (95% CI 1.60-1.85), respectively. We also observed the interaction between maternal age and pre-pregnancy BMI for the risk of pre-eclampsia/GDM (all p for interaction <0.001). In the mediating effect analysis, we found that maternal pre-pregnancy BMI mediated the associations between maternal age and the development of pre-eclampsia and GDM. CONCLUSIONS Advanced maternal age and pre-pregnancy BMI were respectively associated with the risk of pre-eclampsia/GDM, and there was an interaction between the two risk factors. In addition, we found that pre-pregnancy BMI served as a mediator of the association between advanced maternal age and the risk of pre-eclampsia/GDM, providing an essential target for the prevention of maternal overweight/obesity.
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Affiliation(s)
- Mengting Sun
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Manjun Luo
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Tingting Wang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- National Health Committee (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
| | - Jianhui Wei
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Jing Shu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Taowei Zhong
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Yiping Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Qian Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
| | - Ping Zhu
- Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, Hunan, China
- National Health Committee (NHC) Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha, Hunan, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha, Hunan, China
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12
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Singh M, Crowe F, Thangaratinam S, Abel KM, Black M, Okoth K, Riley R, Eastwood KA, Hope H, Wambua S, Healey J, Lee SI, Phillips K, Vowles Z, Cockburn N, Moss N, Nirantharakumar K. Association of pregnancy complications/risk factors with the development of future long-term health conditions in women: overarching protocol for umbrella reviews. BMJ Open 2022; 12:e066476. [PMID: 36581409 PMCID: PMC9806074 DOI: 10.1136/bmjopen-2022-066476] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
INTRODUCTION With good medical care, most pregnancy complications like pre-eclampsia, gestational diabetes, etc resolve after childbirth. However, pregnancy complications are known to be associated with an increased risk of new long-term health conditions for women later in life, such as cardiovascular disease. These umbrella reviews aim to summarise systematic reviews evaluating the association between pregnancy complications and five groups of long-term health conditions: autoimmune conditions, cancers, functional disorders, mental health conditions and metabolic health conditions (diabetes and hypertension). METHODS AND ANALYSIS We will conduct searches in Medline, Embase and the Cochrane database of systematic reviews without any language restrictions. We will include systematic reviews with or without meta-analyses that studied the association between pregnancy complications and the future risk of the five groups of long-term health conditions in women. Pregnancy complications were identified from existing core outcome sets for pregnancy and after consultation with experts. Two reviewers will independently screen the articles. Data will be synthesised with both narrative and quantitative methods. Where a meta-analysis has been carried out, we will report the combined effect size from individual studies. For binary data, pooled ORs with 95% CIs will be presented. For continuous data, we will use the mean difference with 95% CIs. The findings will be presented in forest plots to assess heterogeneity. The methodological quality of the studies will be evaluated with the AMSTAR 2 tool or the Cochrane risk of bias tool. The corrected covered area method will be used to assess the impact of overlap in reviews. The findings will be used to inform the design of prediction models, which will predict the risk of women developing these five group of health conditions following a pregnancy complication. ETHICS AND DISSEMINATION No ethical approvals required. Findings will be disseminated through publications in peer-reviewed journals and conference presentations.
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Affiliation(s)
- Megha Singh
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Francesca Crowe
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Shakila Thangaratinam
- WHO Collaborating Centre for Global Women's Health, Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Department of Obstetrics and Gynaecology, Birmingham Women's and Children's NHS Foundation Trust, Birmingham, UK
| | - Kathryn Mary Abel
- Medical and Human Sciences, Institute of Brain Behaviour and Mental Health, Manchester, UK
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
| | - Mairead Black
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Kelvin Okoth
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Richard Riley
- Centre for Prognosis Research, School of Primary, Community and Social Care, Keele University, Staffordshire, UK
| | - Kelly-Ann Eastwood
- St Michael's Hospital, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
- Centre for Public Health, Queen's University of Belfast, Belfast, UK
| | - Holly Hope
- Centre for Women's Mental Health, Faculty of Biology Medicine & Health, The University of Manchester, Manchester, UK
| | - Steven Wambua
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Jemma Healey
- Aberdeen Centre for Women's Health Research, School of Medicine, Medical Science and Nutrition, University of Aberdeen, Aberdeen, UK
| | - Siang Ing Lee
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Katherine Phillips
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Zoe Vowles
- Guy's and St. Thomas' NHS Foundation Trust, London, UK
| | - Neil Cockburn
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Ngawai Moss
- Patient and public representative, London, UK
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13
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Hu G, Liu H, Leng J, Wang L, Li W, Zhang S, Li W, Liu G, Tian H, Yang S, Yu Z, Yang X, Tuomilehto J. Effects of a Lifestyle Intervention in Young Women with GDM and Subsequent Diabetes. Nutrients 2022; 14:5232. [PMID: 36558389 PMCID: PMC9785424 DOI: 10.3390/nu14245232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 12/01/2022] [Accepted: 12/02/2022] [Indexed: 12/13/2022] Open
Abstract
The purpose of this study was to examine whether a 9-month intensive lifestyle intervention could lead to weight loss and improve cardiovascular risk factors among young women with both gestational diabetes mellitus (GDM) and newly diagnosed diabetes. A total of 83 young women, who had GDM and were subsequently diagnosed as type 2 diabetes at an average of 2.6 years after delivery, participated in a 9-month intensive lifestyle intervention and a follow-up survey at 6-9 years postintervention. After the 9-month intervention, these women had a weight loss of 2.90 kg (-4.02% of initial weight), decreased waist circumference (-3.12 cm), body fat (-1.75%), diastolic blood pressure (-3.49 mmHg), fasting glucose (-0.98 mmol/L) and HbA1c (-0.72%). During the 6-9 years postintervention period, they still had lower weight (-3.71 kg; -4.62% of initial weight), decreased waist circumference (-4.56 cm) and body fat (-2.10%), but showed a slight increase in HbA1c (0.22%). The prevalence of using glucose-lowering agents increased from 2.4% at baseline to 34.6% after the 9-month lifestyle intervention, and to 48.4% at 6-9 years postintervention. A 9-month intensive lifestyle intervention can produce beneficial effects on body weight, HbA1c and other cardiovascular risk factors among young women with previous GDM who subsequently developed new diabetes.
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Affiliation(s)
- Gang Hu
- Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, USA
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Shuang Zhang
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Wei Li
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Gongshu Liu
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Huiguang Tian
- Tianjin Women’s and Children’s Health Center, Tianjin 300071, China
| | - Shengping Yang
- Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808, USA
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, NS B3H 4R2, Canada
| | - Xilin Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin 300070, China
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, 00014 Helsinki, Finland
- Population Health Unit, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah 21589, Saudi Arabia
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14
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Wang T, Jing Y, Guo H, Xu J, Wang M, Huang L, Chen H, Cui W, Song L, Liu X, Sun B, Wang N. Efficacy and safety of hypoglycemic agents on gestational diabetes mellitus in women: A Bayesian network analysis of randomized controlled trials. Front Public Health 2022; 10:980578. [PMID: 36530712 PMCID: PMC9757606 DOI: 10.3389/fpubh.2022.980578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Accepted: 11/08/2022] [Indexed: 12/05/2022] Open
Abstract
Objective To compare the efficacy and safety of metformin, glyburide, and insulin for GDM, we conducted a subgroup analysis of outcomes for women with GDM according to the International Association of Diabetes and Pregnancy Study Groups (IADPSG) diagnostic criteria. Methods We searched the NCBI, Embase, and Web of Science databases from inception to March 2022. Randomized controlled trials (RCTs) that compared the outcomes of hypoglycemic agents in women with GDM were included. Bayesian network analysis was employed. Results A total of 29 RCTs were included. Metformin was estimated to lead to a slight improvement in total gestational weight gain (WMD - 1.24 kg, 95% CI -2.38, -0.09), a risk of unmet treatment target in the sensitivity analysis (OR 34.50, 95% CI 1.18-791.37) than insulin. The estimated effect of metformin showed improvements in birth weight than insulin (WMD - 102.58 g, 95% CI -180.45 to -25.49) and glyburide (WMD - 137.84 g, 95% CI -255.31 to -25.45), for hypoglycemia within 1 h of birth than insulin (OR 0.65, 95% CI 0.47 to 0.84). The improvement in the estimated effect of metformin for hypoglycemia within 1 h of birth still existed when compared with glyburide (OR 0.41, 95% CI 0.26 to 0.66), whether in the IADPSG group (OR 0.33, 95% CI 0.12 to 0.92) or not (OR 0.43, 95% CI 0.20 to 0.98). Conclusion Metformin is beneficial for GDM women to control total GWG compared with insulin, regulate fetal birth weight more than insulin and glyburide, and increase the risk of unmet treatment targets compared with insulin. Compared to metformin, glyburide is associated with neonatal hypoglycemia.
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Affiliation(s)
- Ting Wang
- Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,Department of Respiratory Medicine, Xi'an People's Hospital (Xi'an No. 4 Hospital), Xi'an, China
| | - Yingyu Jing
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Haonan Guo
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Jing Xu
- Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Man Wang
- Department of Cardiovascular Medicine, Xi'an People's Hospital (Xi'an No. 4 Hospital), Xi'an, China
| | - Lili Huang
- Department of Medical Ultrasound, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Huan Chen
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Wei Cui
- Department of Endocrinology and Second Department of Geriatrics, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China
| | - Lin Song
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Xiang Liu
- Chinese Journal of Woman and Child Health Research, Xi'an, China
| | - Bo Sun
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xi'an Jiaotong University Health Science Center, Xi'an, China,*Correspondence: Bo Sun
| | - Ning Wang
- Department of Endocrinology, The Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China,Postdoctoral Research Station, School of Nursing, Health Science Center, Xi'an Jiaotong University, Xi'an, China,Ning Wang
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15
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Hu G. Are insulin sensitivity and β-cell function associated with adverse pregnancy outcomes among women with gestational diabetes? Chin Med J (Engl) 2022; 135:2521-2524. [PMID: 36583913 PMCID: PMC9944686 DOI: 10.1097/cm9.0000000000002383] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Indexed: 12/31/2022] Open
Affiliation(s)
- Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
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16
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Ding Y, Zheng X, Liu Y, Wei T, Yue T, Wang S, Chen S, Weng J, Luo S. Intrapartum and early postpartum glycemic profiles in women with gestational diabetes mellitus: an observational study. Chin Med J (Engl) 2022; 135:2547-2553. [PMID: 36583918 PMCID: PMC9945305 DOI: 10.1097/cm9.0000000000002423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND Data on the glycemic profile of pregnant women with gestational diabetes mellitus (GDM) during the perinatal period are sparse. This study described the intrapartum and early postpartum glucose profiles among pregnant women with GDM, and analyzed factors potentially affecting glycemic parameters during the period. METHODS This was a prospective observational study conducted from March 2020 to November 2021. Pregnant women with GDM receiving lifestyle interventions alone during pregnancy and matched women with non-diabetic pregnancies (NDPs) were enrolled from among patients admitted to the obstetrics department for childbirth. Glucose monitoring was performed via a flash glucose monitoring (FGM) system on admission, and glucose readings during labor and early postpartum were analyzed. The clinical characteristics and FGM-based parameters of participants in the two groups were compared. RESULTS A total of 124 participants (mean age: 29.5 ± 3.5 years, 92 [74.2%] primipara) were included in the final analysis. A total of 17,571 glucose readings were retrieved. There were no significant differences in clinical characteristics between the GDM (n = 60) and NDP (n = 64) groups. The average glucose level was 92.2 mg/dL, and the level was higher in the GDM group (95.5 ± 12.1 mg/dL vs. 89.1 ± 13.4 mg/dL, P = 0.008) during the intrapartum and early postpartum periods. The data were split into the intrapartum period (from the start of labor to delivery of the placenta) and the early postpartum period (within 24 h after placental delivery) for analysis. During intrapartum, women with GDM exhibited glycemic profiles and fluctuations similar to those in the NDP group. However, women with GDM had higher postpartum glucose levels (97.7 ± 13.4 mg/dL vs. 90.8 ± 15.3 mg/dL, P = 0.009), a longer time spent >140 mg/dL (8.7 ± 9.3% vs. 5.9 ± 10.3%, P = 0.011), and greater glycemic fluctuations than those with NDP. Postpartum hyperglycemia in GDM might be associated with high parity and postprandial glucose abnormalities in GDM screening tests. CONCLUSION Compared to those with normoglycemia, pregnant women with GDM receiving lifestyle interventions alone had similar intrapartum glucose profiles but higher early postpartum glucose levels and greater glucose variability, providing evidence for modification of the current perinatal glucose monitoring strategy for GDM. TRIAL REGISTRATION ChiCTR.org.cn, ChiCTR2000030972.
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Affiliation(s)
- Yu Ding
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Xueying Zheng
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Yujie Liu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Tian Wei
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Tong Yue
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Siqi Wang
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Suyu Chen
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Jianping Weng
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
- Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
| | - Sihui Luo
- Department of Endocrinology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui 230001, China
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Yang J, Qian F, Chavarro JE, Ley SH, Tobias DK, Yeung E, Hinkle SN, Bao W, Li M, Liu A, Mills JL, Sun Q, Willett WC, Hu FB, Zhang C. Modifiable risk factors and long term risk of type 2 diabetes among individuals with a history of gestational diabetes mellitus: prospective cohort study. BMJ 2022; 378:e070312. [PMID: 36130782 PMCID: PMC9490550 DOI: 10.1136/bmj-2022-070312] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To evaluate the individual and combined associations of five modifiable risk factors with risk of type 2 diabetes among women with a history of gestational diabetes mellitus and examine whether these associations differ by obesity and genetic predisposition to type 2 diabetes. DESIGN Prospective cohort study. SETTING Nurses' Health Study II, US. PARTICIPANTS 4275 women with a history of gestational diabetes mellitus, with repeated measurements of weight and lifestyle factors and followed up between 1991 and 2009. MAIN OUTCOME MEASURE Self-reported, clinically diagnosed type 2 diabetes. Five modifiable risk factors were assessed, including not being overweight or obese (body mass index <25.0), high quality diet (top two fifthsof the modified Alternate Healthy Eating Index), regular exercise (≥150 min/week of moderate intensity or ≥75 min/week of vigorous intensity), moderate alcohol consumption (5.0-14.9 g/day), and no current smoking. Genetic susceptibility for type 2 diabetes was characterised by a genetic risk score based on 59 single nucleotide polymorphisms associated with type 2 diabetes in a subset of participants (n=1372). RESULTS Over a median 27.9 years of follow-up, 924 women developed type 2 diabetes. Compared with participants who did not have optimal levels of any of the risk factors for the development of type 2 diabetes, those who had optimal levels of all five factors had >90% lower risk of the disorder. Hazard ratios of type 2 diabetes for those with one, two, three, four, and five optimal levels of modifiable factors compared with none was 0.94 (95% confidence interval 0.59 to 1.49), 0.61 (0.38 to 0.96), 0.32 (0.20 to 0.51), 0.15 (0.09 to 0.26), and 0.08 (0.03 to 0.23), respectively (Ptrend<0.001). The inverse association of the number of optimal modifiable factors with risk of type 2 diabetes was seen even in participants who were overweight/obese or with higher genetic susceptibility (Ptrend<0.001). Among women with body mass index ≥25 (n=2227), the hazard ratio for achieving optimal levels of all the other four risk factors was 0.40 (95% confidence interval 0.18 to 0.91). Among women with higher genetic susceptibility, the hazard ratio of developing type 2 diabetes for having four optimal factors was 0.11 (0.04 to 0.29); in the group with optimal levels of all five factors, no type 2 diabetes events were observed. CONCLUSIONS Among women with a history of gestational diabetes mellitus, each additional optimal modifiable factor was associated with an incrementally lower risk of type 2 diabetes. These associations were seen even among individuals who were overweight/obese or were at greater genetic susceptibility.
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Affiliation(s)
- Jiaxi Yang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Frank Qian
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvia H Ley
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wei Bao
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Mengying Li
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Aiyi Liu
- Biostatistics & Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - James L Mills
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Qi Sun
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
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Ayele AD, Tilahun ZA. Determinants of pre-eclampsia among women attending delivery services in public health institutions of Debre Tabor Town: a case-control study. Reprod Health 2022; 19:157. [PMID: 35804383 PMCID: PMC9270738 DOI: 10.1186/s12978-022-01463-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 06/21/2022] [Indexed: 12/03/2022] Open
Abstract
Background The burden of pre-eclampsia has been continued as a public health importance in both developed and developing countries. However, the consequence of the disease is significantly high in developing countries, where treatment may be unsuccessful due to unclear etiology and late presentation of cases. The determinants of pre-eclampsia are not well known in the Ethiopian population specifically in the study area. Therefore, this study was aimed to identify the determinant factors of pre-eclampsia among women attending delivery services in public health institutions of Debre Tabor Town.
Methods Unmatched case–control study was conducted from December 1, 2020, to January 15, 2021, among 264 mothers (88 cases and 176 controls). A case–control incidence density sampling technique was applied and data were collected using an interviewer-administered pre-tested questionnaire. Data were entered using Epi-data version 4.2 and analyzed by statistical package for social science (SPSS) version 23. Bivariate and multivariable logistic regression analyses were conducted. Finally, a significant association was declared at a p-value of ≤ 0.05 with 95% CI. Results Young age at menarche (10–15 years) (AOR: 7.69; 95% CI: 3.10–25.29), status of the current pregnancy (AOR: 5.88; 95% CI:2.93–22.42), new partner (AOR: 4.16; 95% CI: 3.49–17.03), family history of pre-eclampsia (AOR: 1.52; 95% CI: 1.40–4.18), and alcohol drinking (AOR: 2.18; 95% CI: 2.04–11.79) were found to be significantly associated with pre-eclampsia. Conclusions The current study identified that young age at menarche, the status of current pregnancy, new partner, family history of pre-eclampsia, and alcohol drinking were some of the determinant factors of pre-eclampsia. We suggested that health care providers should use these identified factors as a screening means for prediction, early diagnoses, and timely interventions of pre-eclampsia. Health care professionals should also deliver information regarding the risk of alcohol drinking during pregnancy in the preconception period and at early antenatal care services. Pre-eclampsia has continued as a burden in both developed and developing countries. However, the consequence of the disease is significantly high in developing countries, where treatment may be unsuccessful due to unclear etiology and late presentation of cases. Unmatched case–control study was conducted from December 1, 2020, to January 15, 2021, among 264 mothers (88 cases and 176 controls). A case–control incidence density sampling approach was applied and data were collected using an interviewer-administered pre-tested questionnaire. Young age at menarche (10–15 years), the status of the current pregnancy, new partner, family history of pre-eclampsia, and alcohol drinking were found to be the significant determinant factors of pre-eclampsia. The authors recommended that health care providers should use the identified factors as a screening means for prediction, early diagnoses, and timely interventions of pre-eclampsia. Health care professionals should also deliver information regarding the risk of alcohol drinking during pregnancy in the preconception period and at early antennal care service.
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Affiliation(s)
- Alemu Degu Ayele
- Department of Midwifery, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia.
| | - Zemenu Alemu Tilahun
- Department of Midwifery, College of Health Sciences, Debre Tabor University, Debre Tabor, Ethiopia
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19
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Wang X, Liu J, Li C, Xu Y, Wang X, Lu Y, Zhang T, Cao H, Huang L, Wang Z. Pregnancy-Related Diseases and Delivery Mode can Affect the Content of Human Milk Oligosaccharides: A Preliminary Study. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:5207-5217. [PMID: 35434993 DOI: 10.1021/acs.jafc.2c00147] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Human milk oligosaccharides (HMOs) are the second most abundant carbohydrates in colostrum. In this study, we performed a quantitative analysis of 13 oligosaccharides in 99 colostrum samples obtained from mothers living in Northwest China. The analysis combined liquid chromatography-mass spectrometry (LC-MS) with 2-amino-N-(2-aminoethyl)benzamide (AEAB) labeling and nonsecretors accounted for 17%. Compared with healthy secretor mothers, those with gestational diabetes mellitus presented lower levels of sialylated oligosaccharides, especially 3'-sialyllactose. Colostrum from mothers with pregnancy-induced hypertension had higher levels of fucosylated oligosaccharides, but the difference was not significant, and hypothyroidism appeared to have no effect on HMOs. Most HMOs (especially 6'-sialyllactose) were more abundant in colostrum from mothers who underwent vaginal delivery than a C-section. These findings show that the concentration of total or individual HMOs is affected by multiple factors. These findings provide a reference for evaluating variations in HMO expression among different populations and potential guidance for providing personalized clinical nutrition.
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Affiliation(s)
- Xiaoqin Wang
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Jing Liu
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Cheng Li
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Yifan Xu
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Xinyi Wang
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Yu Lu
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Ting Zhang
- The Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine, Xianyang 712046, China
| | - Hongzhi Cao
- National Glycoengineering Research Center, Shandong University, Jinan 250100, China
| | - Linjuan Huang
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
| | - Zhongfu Wang
- Shaanxi Natural Carbohydrate Resource Engineering Research Center, College of Food Science and Technology, Northwest University, Xi'an 710069, China
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20
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Zhou X, Wang W, Zhong J, Yu W, Tang Y, Shu Q. Biomolecular characterization of placental tissues in gestational diabetes mellitus using Fourier transform infrared microspectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2022; 270:120794. [PMID: 34973610 DOI: 10.1016/j.saa.2021.120794] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/17/2021] [Revised: 11/26/2021] [Accepted: 12/19/2021] [Indexed: 06/14/2023]
Abstract
Gestational diabetes mellitus (GDM) is a common complication during pregnancy. It could cause severe side-effect on the mother's and newborn's heath in the short- and long-term. Prevalence has been increasing over time, likely due to increases in mean maternal age and body weight. However, how GDM affects the placenta structure and function are still unclear. Fourier transform infrared microspectroscopy is well suited to study biological samples, such as tissues and cells. Biomolecules of human tissues have characteristic absorptions in mid-infrared range. In this study, Fourier transform infrared microspectroscopy was used to measure unfixed placental tissue sections from women with GDM and matched controls. The molecular composition of different type of placental tissue sections were further analyzed with principle component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA). The major spectral characteristic of biomolecules in GDM placental tissue and control group were compared. The conformational change of lipid chains and higher level of lipid oxidation were found for placental tissues from GDM pregnancies. The increase of proteins β-sheet structures relative to the α-helix structures in the GDM placental tissues were also found. The fingerprint region showed the variances of carbohydrates, nucleic acids and phospholipids between GDM and control group placental tissues. These findings are helpful for understanding how GDM affects placenta's biochemical composition and how GDM causes maternal and fetal metabolism changes. This study also provides a new approach to investigating biomolecular composition of samples from GDM pregnancy through spectroscopic method.
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Affiliation(s)
- Xiaojie Zhou
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Weilin Wang
- Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China; Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China
| | - Jiajia Zhong
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Wenjie Yu
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China
| | - Yuzhao Tang
- National Facility for Protein Science in Shanghai, Shanghai Advanced Research Institute, Chinese Academy of Sciences, No.99, Haike Road, Zhangjiang Hi-Tech Park, Pudong, Shanghai 201210, PR China.
| | - Qun Shu
- Shanghai Key Laboratory of Maternal-Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China; Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, 2699, West Gaoke Road, Shanghai 201204, PR China.
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21
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Zhao Y, Zhao Y, Fan K, Jin L. Association of History of Spontaneous or Induced Abortion With Subsequent Risk of Gestational Diabetes. JAMA Netw Open 2022; 5:e220944. [PMID: 35238932 PMCID: PMC8895257 DOI: 10.1001/jamanetworkopen.2022.0944] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
IMPORTANCE Gestational diabetes (GD) is one of the most common and important complications of pregnancy. Identifying pregnant women who are at high risk of GD is crucial for implementing early prevention and intervention. OBJECTIVE To examine whether a history of spontaneous abortion (SAB) or induced abortion is associated with increased risk of GD in subsequent pregnancies. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study was conducted at a tertiary hospital in Shanghai, China. Pregnant women who received routine antenatal care between January 2014 and December 2019 were included. Data analysis was performed from December 2020 to June 2021. EXPOSURES Maternal history of abortion, including SAB and induced abortion, were extracted from medical records. MAIN OUTCOMES AND MEASURES GD was diagnosed with a 75-g diagnostic oral glucose tolerance test. A multivariable-adjusted log-binomial analysis was used to estimate relative risks (RRs) and 95% CIs of GD associated with history of abortion. RESULTS Among the 102 259 included pregnant women (mean [SD] age, 29.8 [3.8] years), 14 579 (14.3%) experienced only SAB, 17 935 (17.5%) experienced only induced abortion, and 4017 (3.9%) experienced both SAB and induced abortion. A total of 12 153 GD cases were identified, and the prevalence of GD was 11.9% (12 153 of 102 259 women) in this cohort. Pregnant women who experienced only SAB (RR, 1.25; 95% CI, 1.18-1.31) or both SAB and induced abortion (RR, 1.15; 95% CI, 1.05-1.27) were at higher risk of developing GD. The association of SAB history with GD occurred in a number-dependent manner. Compared with pregnant women with no history of abortion, the RR for GD increased by 18% (RR, 1.18; 95% CI, 1.11-1.26) for pregnant women with 1 SAB, by 41% (RR, 1.41; 95% CI, 1.27-1.57) for those with 2 SABs, and by 43% (RR, 1.43; 95% CI, 1.22-1.67) for those more than 2 SABs. However, no association between history of induced abortion and GD was observed. CONCLUSIONS AND RELEVANCE This study found that a history of SAB was associated with increased risk of GD in subsequent pregnancies. Further research is needed to clarify this association and explore the potential biological mechanisms underlying the association.
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Affiliation(s)
- Yan Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Yongbo Zhao
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Kechen Fan
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
| | - Liping Jin
- Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai, China
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22
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Chen HM, Wu CF, Hsieh CJ, Kuo FC, Sun CW, Wang SL, Chen ML, Wu MT. Relationship of maternal body weight and gestational diabetes mellitus with large-for-gestational-age babies at birth in Taiwan: The TMICS cohort. Taiwan J Obstet Gynecol 2022; 61:234-242. [DOI: 10.1016/j.tjog.2022.02.010] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/27/2021] [Indexed: 10/18/2022] Open
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Mnatzaganian G, Woodward M, McIntyre HD, Ma L, Yuen N, He F, Nightingale H, Xu T, Huxley RR. Trends in percentages of gestational diabetes mellitus attributable to overweight, obesity, and morbid obesity in regional Victoria: an eight-year population-based panel study. BMC Pregnancy Childbirth 2022; 22:95. [PMID: 35105311 PMCID: PMC8809044 DOI: 10.1186/s12884-022-04420-9] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 12/20/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Gestational diabetes mellitus (GDM) is the fastest growing type of diabetes in Australia with rates trebling over the past decades partially explained by rising obesity rates and maternal age among childbearing women. Percentage of GDM attributable to obesity has been documented, mostly focusing on metropolitan populations. In parts of regional (areas outside capital cities) and rural Australia where overweight, obesity and morbid obesity are more prevalent, intertwined with socioeconomic disadvantage and higher migrant communities, trends over time in adjusted percentages of GDM attributed to obesity are unknown. METHODS In this population-based retrospective panel study, women, without pre-existing diabetes, delivering singletons between 2010 and 2017 in a tertiary regional hospital that serves 26% of Victoria's 6.5 million Australian population were eligible for inclusion. Secular trends in GDM by body mass index (BMI) and age were evaluated. The percentage of GDM that would have been prevented each year with the elimination of overweight or obesity was estimated using risk-adjusted regression-based population attributable fractions (AFp). Trends in the AFp over time were tested using the augmented Dickey-Fuller test. RESULTS Overall 7348 women, contributing to 10,028 births were included. The age of expecting mothers, their BMI, proportion of women born overseas, and GDM incidence significantly rose over time with GDM rising from 3.5% in 2010 to 13.7% in 2017, p < 0.001, increasing in all BMI categories. The incidence was consistently highest among women with obesity (13.8%) and morbid obesity (21.6%). However, the highest relative increase was among women with BMI < 25 kg/m2, rising from 1.4% in 2010 to 7.0% in 2017. Adjusting for age, country of birth, socioeconomic status, comorbidities, antenatal and intrapartum factors, an estimated 8.6% (confidence interval (CI) 6.1-11.0%), 15.6% (95% CI 12.2-19.0%), and 19.5% (95% CI 15.3-23.6%) of GDM would have been prevented by eliminating maternal overweight, obesity, and morbid obesity, respectively. However, despite the rise in obesity over time, percentages of GDM attributable to overweight, obesity, and morbid obesity significantly dropped over time. Scenario analyses supported these findings. CONCLUSIONS Besides increasing prevalence of obesity over time, this study suggests that GDM risk factors, other than obesity, are also increasing over time.
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Affiliation(s)
- George Mnatzaganian
- Rural Department of Community Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia.
- The Peter Doherty Institute for Infection and Immunity, Melbourne, Victoria, Australia.
| | - Mark Woodward
- The George Institute for Global Health, Imperial College, London, UK
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
| | - H David McIntyre
- Obstetric Medicine, Mater Health Services, University of Queensland, Brisbane, Queensland, Australia
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing, China
| | - Nicola Yuen
- Department of Women's & Children's Services, Bendigo Health, Bendigo, Victoria, Australia
| | - Fan He
- Rural Department of Community Health, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
- John Richards Centre for Rural Ageing Research, La Trobe Rural Health School, La Trobe University, Albury-Wodonga, Victoria, Australia
| | - Helen Nightingale
- Rural Department of Nursing and Midwifery, La Trobe Rural Health School, La Trobe University, Bendigo, Victoria, Australia
| | - Tingting Xu
- Department of Health Policy and Management, School of Public Health, Capital Medical University, Beijing, China
| | - Rachel R Huxley
- The George Institute for Global Health, University of New South Wales, Sydney, Australia
- Faculty of Health, Deakin University, Melbourne, Australia
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Mi C, Liu H, Peng H, Cheng C, Wang M, Liu H, Feng G, Wu J, Nie H, Liu M. Relationships Among Pre-Pregnancy BMI, Gestational, and Postpartum Oral Glucose Tolerance Results in Women With Gestational Diabetes Mellitus. Front Nutr 2021; 8:714690. [PMID: 34926540 PMCID: PMC8675864 DOI: 10.3389/fnut.2021.714690] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 10/26/2021] [Indexed: 11/21/2022] Open
Abstract
Background and Aims: To investigate the relationship among maternal demographic and clinical characteristics, gestational and postpartum oral glucose tolerance test (ppOGTT) results in patients with gestational diabetes mellitus (GDM). Methods: Patients with gestational diabetes mellitus from January 1, 2016, to August 31, 2019, were enrolled. General characteristics, dietary energy intake, pre-gestational body mass index (BMI), gestational oral glucose tolerance test (gOGTT), and 42 days ppOGTT results of all participants were collected. The relationships among maternal clinical characteristics, fasting glucose of gOGTT (gOGTT-FPG), 1 h postprandial glucose of gOGTT (gOGTT-1h PG), 2 h postprandial glucose of gOGTT (gOGTT-2h PG), and maternal postpartum glucose outcomes were evaluated. Results: A total of 156 patients with GDM were included in this study. Among them, 73.7% had inadequate daily total energy intake, an insufficient ratio of carbohydrates and protein, and an excessive fat ratio. Most of the patients (81.4%) were normal in their ppOGTT examination. Less than 20% of the patients (16.7%) were in the pre-diabetic situation, and 3 patients (1.9%) had diabetes. Pre-pregnancy BMI of patients with GDM was a risk factor for increased gOGTT-FPG levels. Those who were overweight before pregnancy had a greater risk for a higher gOGTT-FPG compared to those who had normal pre-pregnancy BMI (P = 0.021, odds ratio [OR] = 4.583). Abnormal gOGTT-2hPG was a risk factor for abnormal ppOGTT (P = 0.04). Those who had an elevated gOGTT-2hPG (≧8.5 mmol/L) had a 2.426 times higher risk for abnormal ppOGTT than those who had normal gOGTT-2hPG (<8.5 mmol/L) results. Conclusion: For women who are overweight before pregnancy, it is better to control their BMI to normal before getting pregnant. Women who had abnormal gOGTT-2h PG should pay more attention to the ppOGTT results.
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Affiliation(s)
- Chunmei Mi
- Department of Obstetrics and Gynecology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Hong Liu
- Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Hongying Peng
- Department of Obstetrics and Gynecology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Chunxia Cheng
- Department of Obstetrics and Gynecology, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Meng Wang
- Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Hua Liu
- Department of Central Sterile Supply, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Guo Feng
- Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Jinru Wu
- Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Hao Nie
- Department of Geriatrics, The First Affiliated Hospital of Hunan Normal University, Changsha, China
| | - Min Liu
- Department of Nutrition, The Third Xiangya Hospital, Central South University, Changsha, China
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25
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Yang X, Leng J, Liu H, Wang L, Li W, Li W, Yang X, Liu M, Hu G. Maternal gestational diabetes and childhood hyperlipidemia. Diabet Med 2021; 38:e14606. [PMID: 34021927 PMCID: PMC8511106 DOI: 10.1111/dme.14606] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Revised: 05/27/2021] [Accepted: 05/19/2021] [Indexed: 11/29/2022]
Abstract
AIMS Aim of this study is to assess dyslipidemia risk between children exposed to maternal gestational diabetes mellitus (GDM) and those not exposed. METHODS We recruited 1144 mother-child pairs (572 GDM and 572 non-GDM women matched by their offspring's age and sex). The age of offspring ranged from 3 to 9 years old. We used general linear models to compare mean values of different lipid profiles among children born to mothers with and without GDM. Logistic regression models were used to assess associations of maternal GDM with abnormal lipid profiles in offspring. RESULTS After adjustment for maternal and children's characteristics, children born to mothers with GDM had lower mean values of high-density-lipoprotein (HDL) cholesterol (1.40 ± 0.01 vs. 1.50 ± 0.01; p < 0.001) and higher mean levels of triglycerides/HDL cholesterol ratio (0.37 ± 0.01 vs. 0.35 ± 0.01; p < 0.05) in comparison with their counterparts born to mothers without GDM. Multivariate-adjusted odds ratios among children exposed to mothers with GDM compared with the counterparts were 2.11 (95% confidence interval [CI 1.15-3.88]) for low HDL cholesterol and 1.35 (95% CI 1.00-1.81) for high triglycerides/HDL cholesterol ratio, respectively. CONCLUSIONS Maternal GDM was associated with an increased risk of hyperlipidemia in the offspring during early childhood aged from 3 to 9 years old.
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Affiliation(s)
- Xiaoyun Yang
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Wei Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
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Hou Q, Yan F, Dong X, Liu H, Wu J, Li J, Ding Y. Assessment of fetal cardiac diastolic function of gestational diabetes mellitus using dual-gate Doppler. Medicine (Baltimore) 2021; 100:e26645. [PMID: 34260564 PMCID: PMC8284756 DOI: 10.1097/md.0000000000026645] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Accepted: 06/24/2021] [Indexed: 01/04/2023] Open
Abstract
Gestational Diabetes Mellitus (GDM), as a common complication of pregnancy, has an increasing trend globally. GDM leads to maternal complications and fetal complications. Fetal cardiac diastolic dysfunction is strongly associated with GDM. This study aims to assess the ventricular diastolic function of fetuses exposed to GDM by looking into the diagnostic parameters using both conventional method and Dual-gate Doppler method (DD). And to investigate the potential of DD method in early detection of fetal cardiac diastolic dysfunction.56 women diagnosed with GDM and 55 non-GDM pregnant women were enrolled in their 24 to 30 weeks of gestation. Conventional method and DD method were applied to measure mitral and tricuspid inflow velocities E-waves, A-waves on pulsed-wave Doppler, and mitral and tricuspid annular velocities e'-waves, a'-waves on Tissue Doppler imaging. E/A, e'/a' and E/e' ratio was calculated. The difference between GDM and control groups was statistically tested and analysed using one-sample Kolmogorov-Smirnov test, Student t test, Mann-Whitney U test and Kruskal-Wallis test and Bland-Altman plot analysis.Intraobserver intraclass correlation coefficients of E/A, e'/a', and E/e' value of both mitral and tricuspid valve are all greater than 0.80, while interobserver intraclass correlation coefficients are between 0.71 and 0.88. Right (6.35 vs 6.79; P = .001) ventricular function showed significantly lower E/e' ratios in the GDM group compared with control fetuses by conventional method. Both left (6.16 vs 6.59; P = .036) and right (6.28 vs 6.75; P = .01) ventricular function showed significantly lower E/e' ratios in the GDM group compared with control fetuses by DD method.Exposure to high level of maternal blood glucose leads to impaired diastolic function in the fetuses. Fetal right ventricular function is a potential key point to study to enable an early detection for fetal diastolic dysfunction since the alteration and damage are more likely to happen in right ventricular. Measurement of E/e' ratio using DD method is considered as a promising method in fetal cardiac diastolic function assessment. Well or poorly control of the GDM does not have significant influence on the fetal diastolic function thus an early detection of GDM and GDM induced fetal cardiac dysfunction is necessary.
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Affiliation(s)
- Qingsha Hou
- Department of Ultrasound, Yan’an Hospital Affiliated to Kunming Medical University, 245, East of Renmin Road, Kunming, Yunnan, P.R. China
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Fang Yan
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Xudong Dong
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Huanling Liu
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Jie Wu
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Jiao Li
- Department of Obstetrical, The First People's Hospital of Yunnan Province, No. 157 Jinbi Rd, Xishan District, Kunming, Yunnan, P.R. China
| | - Yunchuan Ding
- Department of Ultrasound, Yan’an Hospital Affiliated to Kunming Medical University, 245, East of Renmin Road, Kunming, Yunnan, P.R. China
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Rashidi H, Kalantari K, Shahbazian H, Nouhjah S. The relationship between fasting plasma glucose in the first trimester of pregnancy and the incidence of gestational diabetes in Iran. Diabetes Metab Syndr 2021; 15:102193. [PMID: 34229225 DOI: 10.1016/j.dsx.2021.102193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 06/21/2021] [Accepted: 06/27/2021] [Indexed: 12/28/2022]
Abstract
AIMS This study aimed to investigate the relationship between fasting plasma glucose in the first trimester of pregnancy and the incidence of gestational diabetes. METHODS This descriptive-analytical study was conducted using the merging data from two prospective cohort studies that were carried out from 2015 to 2018 in Ahvaz, southwest of Iran. Logistic regression and ROC curves were used to evaluate the predictive power of risk factors. RESULTS Of all 1270 pregnant women studied, 454 (35.75%) had gestational diabetes who were compared with the other 816 (64.25%) healthy women. The area under the curve (AUC) of fasting glucose for the first pregnancy visit was 0.80 (95% CI: 0.76-83), and the optimum fasting glucose cut-off point was 85.5 mg/dL with a sensitivity of 71% and a specificity of 69%. AUC of the combination of fasting glucose at the first visit with body mass index ≥25 kg/m2 and family history of diabetes was calculated to be 0.85 (CI, 0.82-0.88) and 0.84 (CI, 0.79-0.89) respectively. CONCLUSION Fasting plasma glucose in the first trimester of pregnancy is a relatively good predictor of gestational diabetes. If this factor is combined with other risks, its diagnostic value will increase.
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Affiliation(s)
- Homeira Rashidi
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Kamelia Kalantari
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Hajieh Shahbazian
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Sedigheh Nouhjah
- Diabetes Research Center, Research Institute of Health, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
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Punnose J, Malhotra RK, Sukhija K, Sharma A, Vij P, Rijhwani RM, Choudhary N. Prevalence of 'Hyperglycemia in pregnancy' remained stable between 2006 and 2015, despite rise in conventional risk factors: A hospital based study in Delhi, North India. Diabetes Res Clin Pract 2021; 177:108872. [PMID: 34051281 DOI: 10.1016/j.diabres.2021.108872] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 02/12/2021] [Accepted: 05/24/2021] [Indexed: 10/21/2022]
Abstract
AIMS Between 2006 and 2015, the trends in prevalence of Hyperglycemia in pregnancy (HIP); Gestational diabetes (GDM), Diabetes in Pregnancy (DIP), Pre existing diabetes (PDM) and GDM risk factors were studied in 30,692 pregnancies among Asian Indian women. METHODS GDM (n = 4089) and DIP (n = 259) diagnoses were by 75 g OGTT, while PDM (n = 103) was identified by ICD code O24. Women with DIP and PDM were grouped together as pre-gestational diabetes (PGDM n = 362). Crude and age-adjusted prevalence trend analysis by Poisson and Jointpoint regression models respectively, were done in GDM and PGDM groups. RESULTS During study years, the GDM prevalence by WHO 1999 and modified IADPSG criteria, showed decreasing and static trends respectively, while PGDM prevalence remained static. In a subgroup of 2560 women, mean BMI increased from 24.12 ± 4.16 in year 2011 to 25.18 ± 4.7 Kg/m2 in 2015 (p < 0.014), but this rise had no impact on GDM prevalence. GDM risk factors; maternal age, gravidity ≥3, previous GDM and abortion, high income, diabetes and hypertension in family, were higher in 2011-2015 than in 2006-2010 period. On multivariate analysis, BMI was not an independent GDM risk factor. CONCLUSION Despite rise in conventional GDM risk factors, HIP prevalence was static for a decade among pregnant Asian Indian women.
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Affiliation(s)
- John Punnose
- Department of Endocrinology, St. Stephen's Hospital, Delhi, India.
| | | | - Komal Sukhija
- Department of Endocrinology, St. Stephen's Hospital, Delhi, India
| | - Asha Sharma
- Department of Obstetrics and Gynaecology, St. Stephen's Hospital, Delhi, India
| | - Prassan Vij
- Department of Reproductive Medicine, St. Stephen's Hospital, Delhi, India
| | | | - Naimaa Choudhary
- Department of Obstetrics and Gynaecology, St. Stephen's Hospital, Delhi, India
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Aubry EM, Raio L, Oelhafen S. Effect of the IADPSG screening strategy for gestational diabetes on perinatal outcomes in Switzerland. Diabetes Res Clin Pract 2021; 175:108830. [PMID: 33895193 DOI: 10.1016/j.diabres.2021.108830] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/08/2021] [Accepted: 04/19/2021] [Indexed: 12/15/2022]
Abstract
AIMS To evaluate the impact adoption of the International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria on prevalence of gestational diabetes mellitus (GDM) and risks of perinatal outcomes. METHODS Retrospectively, 155,103 women screened with selective two step criteria in Switzerland in period 1 (2005-2010) were compared to 170,427 women screened with IADPSG criteria in period 2 (2012-2017). GDM prevalence over time was established and multivariable regression used to assess variation in risks for GDM related events and perinatal outcomes. RESULTS GDM prevalence increased steadily over both study periods from 1.8% to 9.0%. A risk reduction of GDM-related events was shown only for women with one or two risk factors for GDM present (relative risk (95% confidence interval)): (0.93 (0.90,0.97), 0.90 (0.83,0.96)). The comparison of perinatal outcomes between the two study periods revealed a significant lower risk for newborns large for gestational age (LGA) (0.93 (0.91-0.95)), pre-term delivery (0.94 (0.92-0.97)) and neonatal hypoglycemia (0.83 (0.77-0.90)) in period 2. CONCLUSION The introduction of the IADPSG criteria for the screening of GDM increased prevalence by threefold with no substantial improvements in GDM related events for women without risk factors but reduced the risks for LGA, neonatal hypoglycemia and preterm birth.
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Affiliation(s)
- Evelyne M Aubry
- Department of Health Professions, Bern University of Applied Sciences, Murtenstrasse 10, 3008 Bern, Switzerland.
| | - Luigi Raio
- Department of Obstetrics and Gynecology. Inselspital, University of Bern, Bern, Switzerland
| | - Stephan Oelhafen
- Department of Health Professions, Bern University of Applied Sciences, Murtenstrasse 10, 3008 Bern, Switzerland
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Zhang Z, Xu Q, Chen Y, Sui L, Jiang L, Shen Q, Li M, Li G, Wang Q. The possible role of visceral fat in early pregnancy as a predictor of gestational diabetes mellitus by regulating adipose-derived exosomes miRNA-148 family: protocol for a nested case-control study in a cohort study. BMC Pregnancy Childbirth 2021; 21:262. [PMID: 33784999 PMCID: PMC8011135 DOI: 10.1186/s12884-021-03737-1] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2021] [Accepted: 03/18/2021] [Indexed: 01/02/2023] Open
Abstract
Background Gestational diabetes mellitus (GDM) has become alarming public health concern. It is associated with adverse pregnancy outcomes and increased risk of postpartum type 2 diabetes. Pre-pregnant body mass index (BMI), waist circumference and other anthropometric parameters have been proposed to predict GDM. However, visceral fat thickness can better reflect the distribution of body fat, and may more accurately predict the risk of GDM. Visceral fat thickness may lead to insulin resistance by regulating the adipose-derived exosomes miRNA-148 family, which affect the development of GDM. Evidence from prospective cohort studies on visceral fat thickness as a predictor of GDM and the possible mechanisms is still insufficient. Methods In this prospective cohort study, we will recruit 3000 women at first antenatal visit between 4 and 12 weeks of gestation. Baseline socio-demographic factors and visceral fat thickness will be assessed by questionnaire form and the ultrasonic measurement, respectively. At 20 weeks of gestation, 10 ml blood samples will be drawn and we will extract adipose-derived exosomes miRNA on the basis of nested case-control study. GDM will be screened at 24–28 weeks’ gestation and the expression of miRNA-148 family between pregnant women with GDM and without GDM will be analyzed. Intermediary analysis will be used to investigate whether visceral fat thickness can predict GDM by regulating adipose-derived exosomes miRNA-148 family. Discussion We hypothesized that visceral fat thickness may predict GDM by regulating the miRNA-148 family of adipose-derived exosomes. The findings of the study will assist in further clarifying the pathophysiological mechanism of GDM, it will also provide technical support for effective screening of high-risk pregnant women with GDM. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-021-03737-1.
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Affiliation(s)
- Zhenhong Zhang
- Public Health School, Medical College of Qingdao University, Qingdao, China
| | - Qian Xu
- Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China
| | - Yanping Chen
- Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China
| | - Lun Sui
- Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China
| | - Lu Jiang
- Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China
| | - Qianqian Shen
- Public Health School, Medical College of Qingdao University, Qingdao, China
| | - Minyu Li
- Public Health School, Medical College of Qingdao University, Qingdao, China
| | - Guoju Li
- Qingdao Women and Children's Hospital, Qingdao University, No.6 Tongfu Road, Qingdao, 266000, Shandong Province, China.
| | - Qiuzhen Wang
- Public Health School, Medical College of Qingdao University, Qingdao, China
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Choi H, Kwak DW, Kim MH, Lee SY, Chung JH, Han YJ, Park HJ, Kim MY, Cha DH, Koo S, Lim JY, Ryu HM, Park HY. The Korean Pregnancy Outcome Study (KPOS): Study Design and Participants. J Epidemiol 2021; 31:392-400. [PMID: 32595182 PMCID: PMC8126675 DOI: 10.2188/jea.je20200055] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND The Korean Pregnancy Outcome Study (KPOS) was established to investigate the determinants of adverse pregnancy outcomes among Korean women. METHODS We recruited 4,537 pregnant women between 2013 and 2017 from two tertiary centers located in Seoul, Korea, and a total of 4,195 Korean women met inclusion criteria in the baseline analysis. A range of data on socio-demographics, past medical histories, reproductive information, health-related behaviors, psychological health and clinical information were obtained using interviewer-based questionnaires and clinical assessment at 12, 24, and 36 gestational weeks (GW), delivery and 6-8 weeks postpartum. Blood samplings were performed at 12, 24 and 36 GW, and placental tissues were obtained after delivery. The main outcome of this study was pregnancy-related complications including gestational diabetes mellitus (GDM), gestational hypertension, and screening positive for peripartum depression. Depression was assessed using the Korean version of the Edinburgh Postnatal Depression Scale, and a score of ≥10 indicated a positive screen for depression. RESULTS Among 4,195 eligible pregnant women with a median age of 33.0 years, 3,565 (85.0%) pregnancy outcomes were available in this study, including 30 miscarriages, 16 stillbirths, and 3,519 deliveries. Mean gestational age was 38.8 GW, and mean birth weight was 3,236 gram. The prevalence of pregnancy complications of GDM, hypertensive disorders, and screening positive of depression during pregnancy and postpartum was 7.0%, 1.4%, 27.8%, and 16.6%, respectively. CONCLUSIONS We designed KPOS to identify the determinants of pregnancy-related outcomes, and it may provide effective strategies for the prevention of pregnancy complications in Korean pregnant women.
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Affiliation(s)
- Hansol Choi
- Department of Epidemiology and Health Index, Center for Genome Science, Korea National Institute of Health
| | - Dong Wook Kwak
- Department of Obstetrics and Gynecology, Ajou University School of Medicine
| | - Min Hyoung Kim
- Department of Obstetrics and Gynecology, Mizmedi Hospital
| | - Su Young Lee
- Department of Psychiatry, Myongji Hospital, Hanyang University College of Medicine
| | - Jin Hoon Chung
- Department of Obstetrics and Gynecology, Asan Medical Center, Ulsan University Medical School
| | - You Jung Han
- Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University
| | - Hee Jin Park
- Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University
| | - Moon Young Kim
- Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University
| | - Dong Hyun Cha
- Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University
| | - Seul Koo
- Department of Epidemiology and Health Index, Center for Genome Science, Korea National Institute of Health
| | - Joong-Yeon Lim
- Department of Research Planning, Center for Biomedical Science, Korea National Institute of Health
| | - Hyun Mee Ryu
- Department of Obstetrics and Gynecology, CHA Bundang Medical Center, CHA University
| | - Hyun-Young Park
- Center for Genome Science, Korea National Institute of Health
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Wang M, Hu RY, Gong WW, Pan J, Fei FR, Wang H, Zhou XY, Zhong JM, Yu M. Trends in prevalence of gestational diabetes mellitus in Zhejiang Province, China, 2016-2018. Nutr Metab (Lond) 2021; 18:12. [PMID: 33468171 PMCID: PMC7814615 DOI: 10.1186/s12986-020-00539-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Accepted: 12/30/2020] [Indexed: 11/10/2022] Open
Abstract
Background Limited population-based studies have investigated the secular trend of prevalence of gestational diabetes mellitus (GDM) in mainland China. Therefore, this study aimed to estimate the prevalence of GDM and time trends in Chinese female population. Methods Based on Diabetes Surveillance System of Zhejiang Province, 97,063 diagnosed GDM cases aged 20–50 years were identified from January 1, 2016 to December 31, 2018. Annual prevalence, prevalence rate ratios (PRRs) and average annual percentage change with their 95% confidence intervals (CIs) were reported. Results The age-standardized overall prevalence of GDM was reported to be 7.30% (95% CI 7.27–7.33%);
9.13% (95% CI 9.07–9.19%) in urban areas and 6.24% (95% CI 6.21–6.27%) in rural areas. Compared with 20–24 years age group, women in advanced age groups (25–50 years) were at higher risk for GDM (PRRs ranged from 1.37 to 8.95 and the 95% CIs did not include the null). Compared with rural areas, the risk for GDM was higher in urban areas (PRR: 1.69, 95% CI 1.67–1.72). The standardized annual prevalence increased from 6.02% in 2016 to 7.94% in 2018, with an average annual increase of 5.48%, and grew more rapidly in rural than urban areas (11.28% vs. 0.00%). Conclusions This study suggested a significant increase in the prevalence of GDM among Chinese female population in Zhejiang province during 2016–2018, especially in women characterized by advanced age and rural areas.
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Affiliation(s)
- Meng Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Ru-Ying Hu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Wei-Wei Gong
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Jin Pan
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Fang-Rong Fei
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Hao Wang
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Xiao-Yan Zhou
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China
| | - Jie-Ming Zhong
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
| | - Min Yu
- Zhejiang Provincial Center for Disease Control and Prevention, 3399 Binsheng Road, Hangzhou, 310051, China.
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Tian M, Ma S, You Y, Long S, Zhang J, Guo C, Wang X, Tan H. Serum Metabolites as an Indicator of Developing Gestational Diabetes Mellitus Later in the Pregnancy: A Prospective Cohort of a Chinese Population. J Diabetes Res 2021; 2021:8885954. [PMID: 33628838 PMCID: PMC7884125 DOI: 10.1155/2021/8885954] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Revised: 12/23/2020] [Accepted: 01/20/2021] [Indexed: 12/17/2022] Open
Abstract
OBJECTIVE Gestational diabetes mellitus (GDM) is a common metabolic disorder with onset during pregnancy. However, the etiology and pathogenesis of GDM have not been fully elucidated. In this study, we used a metabolomics approach to investigate the relationship between maternal serum metabolites and GDM in early pregnancy. METHODS A nested case-control study was performed. To establish an early pregnancy cohort, pregnant women in early pregnancy (10-13+6 weeks) were recruited. In total, 51 patients with GDM and 51 healthy controls were included. Serum samples were analyzed using an untargeted high-performance liquid chromatography mass spectrometry metabolomics approach. The relationships between metabolites and GDM were analyzed by an orthogonal partial least-squares discriminant analysis. Differential metabolites were evaluated using a KEGG pathway analysis. RESULTS A total of 44 differential metabolites were identified between GDM cases and healthy controls during early pregnancy. Of these, 26 significant metabolites were obtained in early pregnancy after false discovery rate (FDR < 0.1) correction. In the GDM group, the levels of L-pyroglutamic acid, L-glutamic acid, phenylacetic acid, pantothenic acid, and xanthine were significantly higher and the levels of 1,5-anhydro-D-glucitol, calcitriol, and 4-oxoproline were significantly lower than those in the control group. These metabolites were involved in multiple metabolic pathways, including those for amino acid, carbohydrate, lipid, energy, nucleotide, cofactor, and vitamin metabolism. CONCLUSIONS We identified significant differentially expressed metabolites associated with the risk of GDM, providing insight into the mechanisms underlying GDM in early pregnancy and candidate predictive markers.
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Affiliation(s)
- Mengyuan Tian
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Shujuan Ma
- Clinical Research Center for Reproduction and Genetics in Hunan Province, Reproductive and Genetic Hospital of CITIC-Xiangya, Changsha, China
| | - Yiping You
- Department of Obstetrics, Hunan Provincial Maternal and Child Health Hospital, Changsha, China
| | - Sisi Long
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Jiayue Zhang
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Chuhao Guo
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Xiaolei Wang
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
| | - Hongzhuan Tan
- Xiangya School of Public Health, Central South University, Changsha, China
- Hunan Key Laboratory of Clinical Epidemiology, Changsha, China
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Song Q, Wang L, Liu H, Liang Z, Chen Y, Sun D, Li W, Leng J, Yang X, Cardoso MA, Hu G, Qi L. Maternal GDM Status, Genetically Determined Blood Glucose, and Offspring Obesity Risk: An Observational Study. Obesity (Silver Spring) 2021; 29:204-212. [PMID: 33277814 PMCID: PMC8588568 DOI: 10.1002/oby.23047] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 08/03/2020] [Accepted: 09/09/2020] [Indexed: 11/07/2022]
Abstract
OBJECTIVE The purpose of this study was to estimate the associations of genetically determined maternal blood glucose levels with obesity-related outcomes among children from pregnancies with and without gestational diabetes mellitus (GDM). METHODS A total of 1,114 mothers with (N = 560) and without (N = 554) GDM and their children were included in the present study. A maternal genetic risk score (GRS) for blood glucose was constructed on the basis of 17 single-nucleotide polymorphisms identified from a recent genome-wide association study. RESULTS It was found that maternal GRS for blood glucose showed different associations with offspring risk of overweight and obesity, as well as adiposity measures (all P for interaction < 0.05). Among mothers without GDM, genetically determined maternal blood glucose levels were associated with an 89% higher risk of overweight in their children (95% CI: 42%-152% per SD increase in GRS, P = 1.40 × 10-5 ) and a 120% higher risk of obesity (44%-235%, P = 2.61 × 10-4 ) after adjustment for covariates. In addition, higher maternal GRS for blood glucose was associated with children's increased obesity-related traits (all P < 0.05). However, no significant associations were observed among children of mothers with GDM. CONCLUSIONS This study indicates that GDM status may modify the relation between genetically determined glucose levels and obesity risk among children.
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Affiliation(s)
- Qiying Song
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Obstetrics, Women’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Yuhang Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Marly Augusto Cardoso
- Department of Nutrition, School of Public Health, University of Sao Paulo, Sao Paulo, Brazil
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
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Krishnan B, Ramu Ganesan A, Balasubramani R, Nguyen DD, Chang SW, Wang S, Xiao J, Balasubramanian B. Chrysoeriol ameliorates hyperglycemia by regulating the carbohydrate metabolic enzymes in streptozotocin-induced diabetic rats. FOOD SCIENCE AND HUMAN WELLNESS 2020. [DOI: 10.1016/j.fshw.2020.05.014] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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Cultural Adaptation, Validation, and Primary Application of a Questionnaire to Assess Intentions to Eat Low-Glycemic Index Foods among Rural Chinese Women. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207577. [PMID: 33081057 PMCID: PMC7590207 DOI: 10.3390/ijerph17207577] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/07/2020] [Revised: 10/06/2020] [Accepted: 10/14/2020] [Indexed: 12/02/2022]
Abstract
Different lines of evidence indicate that knowledge of low-glycemic index (GI) foods and the practice of eating them play important roles in blood glucose management and preventing T2DM in women with prior gestational diabetes mellitus (GDM). According to the theory of planned behavior (TPB), intention is a critical factor in complying with health-related behaviors. However, an instrument for assessing the intention to eat low-GI foods is lacking in China. We aimed to (1) adapt and validate a Chinese version of the intentions to eat low-GI foods questionnaire (CIELQ) and (2) apply the CIELQ among rural Chinese women to explore the associations between CIELQ scores and glycemic status. A cross-sectional study was conducted on 417 nondiabetic, nonpregnant participants with a history of GDM in Hunan, China. After cultural adaptation and validation, the CIELQ was applied in a target population. Glycemic status, anthropometric variables, dietary intake, and physical activity were measured; a self-developed, standard questionnaire was applied to collect relevant information. The CIELQ showed good internal consistency; model fitness was acceptable based on the confirmatory factor analysis results. Awareness of the glycemic index was low among the study population. TPB factors were found to be associated with each other; education level and parents’ diabetes history were associated with specific factors. The score for instrumental attitude showed a positive association with the risk for a high level of the 2-h 75-g oral glucose tolerance test (odds ratio, OR = 1.330), while the score for perceived behavior control (PBC) showed a negative association with the risk for a high level (OR = 0.793). The CIELQ was determined to be a valid instrument for assessing the intention to eat a low-GI diet among the study population. The awareness of the GI was poor among the study population. The score for instrumental attitude showed a positive association with the risk of a high level on the 2-h 75-g oral glucose tolerance test (OGTT), and the score for PBC showed a negative association with the risk for a high level on OGTT.
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Prevalence of diabetes mellitus and hypertension during pregnancy in eastern China after the implementation of universal two-child policy. Int J Diabetes Dev Ctries 2020. [DOI: 10.1007/s13410-020-00872-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/23/2022] Open
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Okoth K, Chandan JS, Marshall T, Thangaratinam S, Thomas GN, Nirantharakumar K, Adderley NJ. Association between the reproductive health of young women and cardiovascular disease in later life: umbrella review. BMJ 2020; 371:m3502. [PMID: 33028606 PMCID: PMC7537472 DOI: 10.1136/bmj.m3502] [Citation(s) in RCA: 216] [Impact Index Per Article: 43.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/24/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To consolidate evidence from systematic reviews and meta-analyses investigating the association between reproductive factors in women of reproductive age and their subsequent risk of cardiovascular disease. DESIGN Umbrella review. DATA SOURCES Medline, Embase, and Cochrane databases for systematic reviews and meta-analyses from inception until 31 August 2019. REVIEW METHODS Two independent reviewers undertook screening, data extraction, and quality appraisal. The population was women of reproductive age. Exposures were fertility related factors and adverse pregnancy outcomes. Outcome was cardiovascular diseases in women, including ischaemic heart disease, heart failure, peripheral arterial disease, and stroke. RESULTS 32 reviews were included, evaluating multiple risk factors over an average follow-up period of 7-10 years. All except three reviews were of moderate quality. A narrative evidence synthesis with forest plots and tabular presentations was performed. Associations for composite cardiovascular disease were: twofold for pre-eclampsia, stillbirth, and preterm birth; 1.5-1.9-fold for gestational hypertension, placental abruption, gestational diabetes, and premature ovarian insufficiency; and less than 1.5-fold for early menarche, polycystic ovary syndrome, ever parity, and early menopause. A longer length of breastfeeding was associated with a reduced risk of cardiovascular disease. The associations for ischaemic heart disease were twofold or greater for pre-eclampsia, recurrent pre-eclampsia, gestational diabetes, and preterm birth; 1.5-1.9-fold for current use of combined oral contraceptives (oestrogen and progesterone), recurrent miscarriage, premature ovarian insufficiency, and early menopause; and less than 1.5-fold for miscarriage, polycystic ovary syndrome, and menopausal symptoms. For stroke outcomes, the associations were twofold or more for current use of any oral contraceptive (combined oral contraceptives or progesterone only pill), pre-eclampsia, and recurrent pre-eclampsia; 1.5-1.9-fold for current use of combined oral contraceptives, gestational diabetes, and preterm birth; and less than 1.5-fold for polycystic ovary syndrome. The association for heart failure was fourfold for pre-eclampsia. No association was found between cardiovascular disease outcomes and current use of progesterone only contraceptives, use of non-oral hormonal contraceptive agents, or fertility treatment. CONCLUSIONS From menarche to menopause, reproductive factors were associated with cardiovascular disease in women. In this review, presenting absolute numbers on the scale of the problem was not feasible; however, if these associations are causal, they could account for a large proportion of unexplained risk of cardiovascular disease in women, and the risk might be modifiable. Identifying reproductive risk factors at an early stage in the life of women might facilitate the initiation of strategies to modify potential risks. Policy makers should consider incorporating reproductive risk factors as part of the assessment of cardiovascular risk in clinical guidelines. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42019120076.
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Affiliation(s)
- Kelvin Okoth
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Joht Singh Chandan
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Tom Marshall
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Shakila Thangaratinam
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Women's Health Research Unit, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - Krishnarajah Nirantharakumar
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
| | - Nicola J Adderley
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
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Cai L, Wu W, Lin L, Chen Y, Gao R, Shi B, Ma B, Chen Y, Jing J. Association between plasma irisin and glucose metabolism in pregnant women is modified by dietary n-3 polyunsaturated fatty acid intake. J Diabetes Investig 2020; 11:1326-1335. [PMID: 32157816 PMCID: PMC7477509 DOI: 10.1111/jdi.13249] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2019] [Revised: 02/23/2020] [Accepted: 03/04/2020] [Indexed: 12/29/2022] Open
Abstract
AIMS/INTRODUCTION The role of irisin in maternal glucose metabolism and how it would respond to dietary n-3 polyunsaturated fatty acid (n-3 PUFA) intake remains unclear. This study aimed to explore whether maternal plasma irisin is associated with glucose metabolism and whether this association is modified by dietary n-3 PUFA. MATERIALS AND METHODS A total of 932 pregnant women (20-28 weeks' gestation) aged 20-45 years were recruited. Dietary n-3 PUFA was estimated using a validated quantitative food frequency questionnaire. Plasma irisin and insulin were tested by enzyme-linked immunosorbent assay, and insulin resistance (IR) was estimated using the homeostatic model assessment (HOMA). Gestational diabetes mellitus was diagnosed with a 75-g oral glucose tolerance test. Adjusted multivariable linear regression and logistic regression were carried out to examine the associations between plasma irisin and glucose metabolism. The moderating effect of dietary n-3 PUFA intake was determined by fully multiplicative models by including the interaction term. RESULTS Maternal plasma irisin was negatively associated with HOMA-IR and oral glucose tolerance test 0 h glucose level (β -0.250, -0.067; corrected P-value for false discovery rate = 0.012, 0.018, respectively), positively associated with HOMA of insulin sensitivity (β 0.028; corrected P-value for false discovery rate = 0.012), but not associated with postprandial glucose or the risk of gestational diabetes mellitus. Furthermore, we found a moderating effect of dietary n-3 PUFA on the relationships of plasma irisin with HOMA-IR and HOMA of insulin sensitivity; these associations were strengthened with increased n-3 PUFA intake (β -0.037, 0.004; P = 0.014, 0.041, respectively). CONCLUSIONS Plasma irisin was negatively associated with HOMA-IR and fasting glucose, whereas it was positively associated with HOMA of insulin sensitivity in pregnant women. We first showed that these associations were modified by dietary n-3 PUFA intake.
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Affiliation(s)
- Li Cai
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
- Guangdong Key Laboratory of NutritionDiet and HealthGuangzhouChina
| | - Weijia Wu
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
- Department of Scientific ResearchHainan Women and Children's Medical CenterHaikouChina
| | - Lizi Lin
- Department of Maternal and Child HealthSchool of Public HealthPeking University Health Science CenterBeijingChina
| | - Yajun Chen
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Rui Gao
- Shenzhen Birth Cohort Study CenterNanshan Maternity and Child Healthcare Hospital of ShenzhenShenzhenChina
| | - Bijun Shi
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Bingjie Ma
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Yuming Chen
- Department of Medical Statistics and EpidemiologySchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
| | - Jin Jing
- Department of Maternal and Child HealthSchool of Public HealthSun Yat‐sen UniversityGuangzhouChina
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Fan Y, Wang L, Liu H, Zhang S, Tian H, Shen Y, Tuomilehto J, Yu Z, Yang X, Hu G, Liu M. β-Cell function or insulin resistance was associated with the risk of type 2 diabetes among women with or without obesity and a history of gestational diabetes. BMJ Open Diabetes Res Care 2020; 8:8/1/e001060. [PMID: 32900701 PMCID: PMC7478009 DOI: 10.1136/bmjdrc-2019-001060] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2019] [Revised: 07/07/2020] [Accepted: 07/30/2020] [Indexed: 11/03/2022] Open
Abstract
INTRODUCTION To evaluate the single association of postpartum β-cell dysfunction and insulin resistance (IR), as well as different combinations of postpartum β-cell dysfunction, IR, obesity, and a history of gestational diabetes mellitus (GDM) with postpartum type 2 diabetes risk. RESEARCH DESIGN AND METHODS The study included 1263 women with prior GDM and 705 women without GDM. Homeostatic model assessment was used to estimate homeostatic model assessment of β-cell secretory function (HOMA-%β) and homeostatic model assessment of insulin resistance (HOMA-IR). RESULTS Multivariable-adjusted ORs of diabetes across quartiles of HOMA-%β and HOMA-IR were 1.00, 1.46, 2.15, and 6.25 (ptrend <0.001), and 1.00, 2.11, 5.59, and 9.36 (ptrend <0.001), respectively. Women with IR only had the same diabetes risk as women with β-cell dysfunction only. Obesity, together with IR or β-cell dysfunction, had a stronger effect on diabetes risk. This stronger effect was also found for a history of GDM with IR or β-cell dysfunction. Women with three risk factors, including obesity, a history of GDM and β-cell dysfunction/IR, showed the highest ORs of diabetes. CONCLUSIONS β-cell dysfunction or IR was significantly associated with postpartum diabetes. IR and β-cell dysfunction, together with obesity and a history of GDM, had the highest ORs of postpartum diabetes risk.
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Affiliation(s)
- Yuxin Fan
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Shuang Zhang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Huiguang Tian
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Yun Shen
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Six People's Hospital, Shanghai, China
| | - Jaakko Tuomilehto
- Department of Public Health, University of Helsinki, Helsinki, Finland
| | - Zhijie Yu
- Population Cancer Research Program, Dalhousie University, Halifax, Nova Scotia, Canada
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Ming Liu
- Department of Endocrinology and Metabolism, Tianjin Medical University General Hospital, Tianjin, China
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Liang Z, Liu H, Wang L, Song Q, Sun D, Li W, Leng J, Gao R, Hu G, Qi L. Maternal Gestational Diabetes Mellitus Modifies the Relationship Between Genetically Determined Body Mass Index During Pregnancy and Childhood Obesity. Mayo Clin Proc 2020; 95:1877-1887. [PMID: 32861332 PMCID: PMC7672776 DOI: 10.1016/j.mayocp.2020.04.042] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2019] [Revised: 03/29/2020] [Accepted: 04/10/2020] [Indexed: 01/10/2023]
Abstract
OBJECTIVE To analyze the interactions between maternal gestational diabetes mellitus (GDM) and genetically determined maternal body mass index (BMI) during pregnancy on offspring childhood obesity. RESEARCH DESIGN AND METHODS A total of 1114 Chinese mother-child pairs (560 GDM and 554 non-GDM) were included between August 2009 and July 2011. Maternal genetic risk score (GRS) of BMI during pregnancy was derived on the basis of 12 single nucleotide polymorphisms identified from a genome-wide association study. Offspring's BMI, BMI-for-age z score, weight, weight-for-age z score, waist circumference, sum of skinfolds, and body fat percentage during childhood were measured or calculated. RESULTS Maternal GRS of BMI during pregnancy significantly interacted with maternal GDM status on childhood risks of overweight and obesity (all P for interaction <.05). After multivariable adjustment, per unit of GRS was associated with a 24% (P<.001) and a 28% (P<.001) increased risk of overweight and obesity among children of GDM mothers, whereas no significant associations were observed among children of mothers without GDM. In addition, per unit GRS of BMI during pregnancy was significantly associated with 0.16 kg/m2 higher BMI (P=.002), 0.09 higher BMI-for-age z score (P=.002), 0.24 kg higher weight (P=.04), 0.06 higher weight-for-age z score (P=.02), 0.28 cm higher waist circumference (P=.03), 0.94 mm higher sum of skinfolds (P=.004), and 0.37% higher body fat percentage (P=.03) among children of GDM mothers. There were no significant associations between maternal GRS of BMI during pregnancy and offspring's obesity-related outcomes among children of mothers without GDM. CONCLUSION Our findings for the first time indicate that maternal GDM status may modify the relation between genetically determined maternal BMI during pregnancy and offspring's obesity risk during childhood.
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Affiliation(s)
- Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA; Department of Obstetrical, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Qiying Song
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA; Department of Maternal and Child Health, School of Public Health, Peking University, Beijing, China
| | - Dianjianyi Sun
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Ru Gao
- Pennington Biomedical Research Center, Baton Rouge, LA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
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Mareg M, Molla A, Dires S, Berhanu Mamo Z, Hagos B. Determinants of Preeclampsia Among Pregnant Mothers Attending Antenatal Care (ANC) and Delivery Service in Gedeo Zone, Southern Ethiopia: Case Control-Study. Int J Womens Health 2020; 12:567-575. [PMID: 32801934 PMCID: PMC7398676 DOI: 10.2147/ijwh.s251342] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2020] [Accepted: 06/30/2020] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND The maternal morbidity and mortality related to preeclampsia are increasing in developing countries; figures have been estimated to be between 1.8% and 16.7%, including in Ethiopia. However, there is limited research regarding the determinants of preeclampsia in Gedeo Zone. OBJECTIVE The aim of the study was to determine the predictors of preeclampsia among pregnant mothers attending ANC and delivery services in southern Ethiopia. METHODS A facility-based unmatched case-control study was conducted in Gedeo Zone. Pregnant mothers attending ANC and delivery service were selected consecutively until the allotted 243 (162 controls and 81 cases) sample size was fulfilled. The collected data were checked for completeness and entered into Epi-data software version 3.1, and exported to statistical package for social science (SPSS) version 20 for analysis. Multivariable logistic regression was employed and a P-value of less than 0.05 with a 95% confidence interval was used to declare the significant association of the independent variables and the outcome variable. RESULTS A total of 240 mothers, 80 (33.3%) of cases and 160 (66.70%) of controls, responded, with a response rate of 98.76%. The mean age of the participants among both groups was 27.40 with a standard deviation of ±5.02. Attending education [adjusted odd ratio (AOR) = 0.49; 95% CI (0.006, 0.398)], being a house wife [AOR = 13; 95% CI (1.260, 140.15)], an age range of 20-34 years [AOR = 0.071; 95% CI (0.015, 0.32)], a family history of diabetes mellitus [AOR = 0.28.2; 95% CI (0.081, 0.985)], a family history of hypertension [AOR = 0.124; 95% CI (0.047, 0.325)], did not eat fruit during pregnancy [AOR = 3.355; 95% CI (1.112, 10.126)], and a maternal history of preeclampsia [AOR = 0.162; 95% CI (0.041, 0.640)] were found to be variables significantly associated among mothers with preeclampsia. CONCLUSION The determinant factors for preeclampsia were being a housewife, having a history of hypertension, diabetes mellitus, and preeclampsia among family members. Strengthening early detection and prevention of predictors, improvement of protective factors, and further follow-up study were recommended.
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Affiliation(s)
- Moges Mareg
- Reproductive Health Department, School of Public Health, Dilla University, College of Health Science and Medicine, Dilla, Ethiopia
| | - Alemayehu Molla
- Department of Psychiatry, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia
| | - Selamawit Dires
- Reproductive Health Department, School of Public Health, Dilla University, College of Health Science and Medicine, Dilla, Ethiopia
| | - Zerihun Berhanu Mamo
- Reproductive Health Department, School of Public Health, Dilla University, College of Health Science and Medicine, Dilla, Ethiopia
| | - Brhane Hagos
- Department of Midwifery, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia
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Zhang RY, Wang L, Zhou W, Zhong QM, Tong C, Zhang T, Han TL, Wang LR, Fan X, Zhao Y, Ran RT, Xia YY, Qi HB, Zhang H, Norris T, Baker PN, Saffery R. Measuring maternal body composition by biomedical impedance can predict risk for gestational diabetes mellitus: a retrospective study among 22,223 women. J Matern Fetal Neonatal Med 2020; 35:2695-2702. [PMID: 32722949 DOI: 10.1080/14767058.2020.1797666] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
OBJECTIVES This study aimed to identify which element of body composition measurements taken before 17th week gestation was the strongest risk factor for gestational diabetes mellitus (GDM) in Chinese pregnant women. DESIGN AND SETTING A retrospective study was performed using data retrieved from the Electronic Medical Record database of Chongqing Health Center for Women and Children (China) from January 2014 to December 2015. PARTICIPANTS A total of 22,223 women were included with singleton pregnancies and no preexisting diabetes who underwent bioelectrical impedance analysis (BIA) before 17 gestational weeks and 75-g OGTT at 24-28 gestational weeks. RESULTS The prevalence of GDM from 2014 to 2015 was 27.13% (IADPSG). All indicators of BIA (total body water, fat mass, fat-free mass, percent body fat, muscle mass, visceral fat levels, proteins, bone minerals, basal metabolic rate, lean trunk mass), age, weight and body mass index (BMI) were risk factors that significantly increased the occurrence of GDM (p < .001 for all). Women older than 30 years or with a BMI more than 23, had a significantly higher GDM prevalence (34.89% and 34.77%). After adjusted covariates, visceral fat levels at the third quartile, the ORs of GDM were 1.142 (95% CI 1.032-1.263) in model I and 1.419 (95% CI 1.274-1.581) in model II used the first quartile as reference (p < .05 for both); bone minerals at the third quartile, the ORs of GDM were 1.124 (95% CI 1.020-1.238) in model I and 1.311 (95% CI 1.192-1.442) in model II (p < .05 for both). After adjusted for age, visceral fat levels and bone minerals, OR of GDM for percent body fat more than 28.77% at the third quartile was 1.334 (95% CI 1.201-1.482) in model II (p < .05 for both). CONCLUSIONS Visceral fat levels, bone minerals and percent body fat were significantly associated with an increased risk of GDM, providing the reference ranges of visceral fat levels, bone minerals and percent body fat as predictive factors for Chinese women to estimate the risk of GDM by BIA during pregnancy.
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Affiliation(s)
- Rui-Yuan Zhang
- Department of Occupational and Environmental Hygiene, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Lan Wang
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Wei Zhou
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Qi-Mei Zhong
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Chao Tong
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Ting Zhang
- State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, People's Republic of China
| | - Ting-Li Han
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, People's Republic of China
| | - Lian-Rong Wang
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Xin Fan
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Yan Zhao
- Chongqing Health Centre for Women and Children, Chongqing, People's Republic of China
| | - Rui-Tu Ran
- Departments of Urinary Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China
| | - Yin-Yin Xia
- Department of Occupational and Environmental Hygiene, School of Public Health and Management, Research Center for Medicine and Social Development, Innovation Center for Social Risk Governance in Health, Chongqing Medical University, Chongqing, People's Republic of China
| | - Hong-Bo Qi
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, People's Republic of China
| | - Hua Zhang
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, People's Republic of China
| | - Tom Norris
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Philip N Baker
- College of Life Sciences, University of Leicester, Leicester, UK
| | - Richard Saffery
- Murdoch Children's Research Institute, Royal Children's Hospital, Melbourne, Australia.,Department of Pediatrics, University of Melbourne, Parkville, Australia
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44
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Lu J, Gu Y, Liu H, Wang L, Li W, Li W, Leng J, Zhang S, Qi L, Yang X, Hu G. Daily Branched-Chain Amino Acid Intake and Risks of Obesity and Insulin Resistance in Children: A Cross-Sectional Study. Obesity (Silver Spring) 2020; 28:1310-1316. [PMID: 32510827 PMCID: PMC7311291 DOI: 10.1002/oby.22834] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2019] [Revised: 03/19/2020] [Accepted: 03/19/2020] [Indexed: 01/05/2023]
Abstract
OBJECTIVE This study aimed to investigate the association of daily branched-chain amino acid (BCAA) intake with the risks of obesity and insulin resistance in children of mothers with gestational diabetes mellitus (GDM). METHODS Daily BCAA intake was calculated by using a validated food frequency questionnaire in 996 children of mothers with GDM. The odds ratios (ORs) (95% CI) of childhood obesity and insulin resistance were obtained using logistic regression models. RESULTS The multivariable-adjusted ORs for overweight and insulin resistance increased across quartiles of daily BCAA intake (P < 0.05 for trend). Multivariable-adjusted ORs for each 1-SD increase in BCAA intake were 1.37 (1.16-1.62) for overweight and 1.19 (1.02-1.38) for insulin resistance. After additional adjustment of children's daily total energy intake, the OR was still significant for overweight risk but no longer significant for insulin resistance. There were positive associations of daily leucine, isoleucine, and valine intake with the risks for overweight and insulin resistance. CONCLUSIONS Daily BCAA intake was associated with increased risks for overweight and insulin resistance in children of mothers with GDM, but this association was not fully independent of children's daily energy intake. Restriction in dietary BCAA may help prevent childhood obesity and insulin resistance.
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Affiliation(s)
- Jun Lu
- Department of Endocrinology and Metabolism, Fengxian Hospital affiliated to Southern Medical University, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital South Campus, Shanghai University of Medicine and Health Sciences Affiliated Shanghai Sixth People’s Hospital South Campus, Shanghai, China
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
| | - Yuying Gu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
- Shanghai Business School, Shanghai, China
| | - Huikun Liu
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Leishen Wang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Wei Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Weiqin Li
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Junhong Leng
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Shuang Zhang
- Tianjin Women’s and Children’s Health Center, Tianjin, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Gang Hu
- Chronic Disease Epidemiology Laboratory, Pennington Biomedical Research Center, Baton Rouge, LA
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45
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Liang Z, Wang L, Liu H, Chen Y, Zhou T, Heianza Y, Leng J, Li W, Yang X, Shen Y, Gao R, Hu G, Qi L. Genetic susceptibility, lifestyle intervention and glycemic changes among women with prior gestational diabetes. Clin Nutr 2020; 39:2144-2150. [PMID: 31542245 PMCID: PMC7062571 DOI: 10.1016/j.clnu.2019.08.032] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Revised: 08/18/2019] [Accepted: 08/30/2019] [Indexed: 01/01/2023]
Abstract
AIMS Women with prior gestational diabetes mellitus (GDM) or high genetic susceptibility are prone to development of type 2 diabetes. We examined whether a lifestyle intervention modified the genetic effect on changes in glycemic markers among women with prior GDM. RESEARCH DESIGN AND METHODS This study included 560 women with prior GDM from a randomized controlled trial, the Tianjin Gestational Diabetes Mellitus Prevention Program, who were assigned into an intervention arm (improved physical activity and healthy dietary intakes) or a control arm. We assessed associations of GDM related genetic variants in/near the CDKAL1 (rs7754840) and MTNR1B (rs10830962) genes with changes in fasting levels of glucose and insulin, β-cell function (HOMA-B) and insulin resistance (HOMA-IR) at 1 year and 2 years after the baseline. RESULTS We found significant interactions between CDKAL1 variant rs7754840 and lifestyle intervention on changes in fasting insulin and HOMA-IR at 1 year (P for interactions = 0.008 and 0.006, respectively). The GDM-increasing C allele was associated with a 0.07-unit greater increase in fasting insulin (P = 0.048) and HOMA-IR (P = 0.045) in the control group, while opposite-directional associations were observed in the intervention group; women with the C allele seemed to decrease more in these glycemic markers than the non-C-carriers (both P ≤ 0.06). The interactions between the CDKAL1 genetic variant and lifestyle intervention on changes in fasting insulin (P = 0.035) and HOMA-IR (P = 0.024) remained significant over the 2-year period, even though the effects of lifestyle intervention were attenuated at 2-year. The MTNR1B variant rs10830962 did not show interaction with lifestyle intervention on changes in the glycemic markers. CONCLUSIONS Healthy lifestyle intervention may be beneficial for women with the GDM predisposing CDKAL1 genetic variant in improvement of insulin resistance. TRIAL REGISTRATION NUMBER ClinicalTrials.gov NCT01554358. URL OF REGISTRATION: https://clinicaltrials.gov/ct2/show/NCT01554358.
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MESH Headings
- Adult
- Biomarkers/blood
- Blood Glucose/metabolism
- China
- Diabetes Mellitus, Type 2/blood
- Diabetes Mellitus, Type 2/diagnosis
- Diabetes Mellitus, Type 2/genetics
- Diabetes Mellitus, Type 2/prevention & control
- Diabetes, Gestational/blood
- Diabetes, Gestational/diagnosis
- Diabetes, Gestational/genetics
- Diabetes, Gestational/therapy
- Diet, Healthy
- Exercise
- Female
- Gene-Environment Interaction
- Genetic Predisposition to Disease
- Healthy Lifestyle
- Humans
- Insulin/blood
- Insulin Resistance
- Insulin-Secreting Cells/metabolism
- Middle Aged
- Pregnancy
- Protective Factors
- Receptor, Melatonin, MT2/genetics
- Risk Assessment
- Risk Factors
- Risk Reduction Behavior
- Time Factors
- Treatment Outcome
- Young Adult
- tRNA Methyltransferases/genetics
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Affiliation(s)
- Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Obstetrical, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Yuhang Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, China
| | - Xilin Yang
- Department of Epidemiology, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yun Shen
- Pennington Biomedical Research Center, Baton Rouge, LA, USA; Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai, China
| | - Ru Gao
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
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46
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Taurine attenuates liver autophagy and injury of offspring in gestational diabetic mellitus rats. Life Sci 2020; 257:117889. [PMID: 32502541 DOI: 10.1016/j.lfs.2020.117889] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2020] [Revised: 05/29/2020] [Accepted: 05/29/2020] [Indexed: 12/19/2022]
Abstract
PURPOSE Gestational diabetes mellitus (GDM) has many adverse effects on offspring, such as abnormal glycolipid metabolism, obesity, insulin resistance, mental retardation, schizophrenia and so on. METHODS We established a GDM rat model by injecting 1% streptozotocin associated with a high-fat diet one week before pregnancy, and offspring rats were sacrificed at 8 weeks of age to obtain liver tissue for study. We used hematoxylin-eosin (HE) staining to observe liver morphological changes, Tunel staining for hepatocyte apoptosis, transmission electron microscope for liver ultrastructure, and western blot for protein expression in liver tissue. RESULTS Compared with normal offspring rats, hepatocytes of GDM offspring rats showed obvious edema, liver organ index increased, and hepatocyte apoptosis and autophagosome in the liver were significantly increased; Bax, cleaved-caspase3/caspase3, LCII, Beclin 1, P-IKBα/IKBα and P-p65/p6 protein expression in the liver were significantly increased; Bcl2, p62 and PPARγ protein expression in the liver were significantly decreased. Tau prevented the GDM-related effects in the offspring: Tau decreased hepatocyte edema (or even disappears), liver organ index, hepatocyte apoptosis and the number of autophagosomes in the liver. In addition, Tau also decreased Bax, cleaved-caspase3/caspase3, LCII, Beclin 1, P-IKBα/IKBα and P-p65/p6 protein expression, and increased Bcl2, p62 and PPARγ protein expression in the liver of GDM offspring rats. CONCLUSION Taurine should be considered as a potential gestational nutritional supplement to prevent liver damage in GDM offspring.
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47
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Wang C, Jin L, Tong M, Zhang J, Yu J, Meng W, Jin L. Prevalence of gestational diabetes mellitus and its determinants among pregnant women in Beijing. J Matern Fetal Neonatal Med 2020; 35:1337-1343. [PMID: 32316796 DOI: 10.1080/14767058.2020.1754395] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objective: To investigate the prevalence of gestational diabetes mellitus (GDM) and its determinants among pregnant women in the Tongzhou district of Beijing, China.Methods: This study was performed on data collected in the routine work of the prenatal health care system from 27,119 pregnant women in the Tongzhou district of Beijing during 2013-2018. Univariate and multivariate logistic regression analyses were used to assess the factors associated with GDM.Results: The overall prevalence of GDM was 24.24%, and it showed an increasing trend over the 6 years. A univariate analysis showed that the prevalence of GDM increased with age (p < .001). In multivariate analysis, it was found that women with a non-local household registration, as well as those without a local household registration but whose husbands had one, had a lower risk for GDM than both spouses who had local registration. Women who were overweight/obese had a higher risk for GDM than women with a normal pre-pregnancy body mass index. Multipara women had a lower likelihood of developing GDM.Conclusions: We found a slightly higher prevalence of GDM in the Tongzhou district of Beijing than has been found in other studies, and the prevalence rose over the 6 years of the study. Advanced age, pre-pregnancy overweight or obesity, and local household registration were important risk factors for GDM. Multiparity may be a protective factor against developing GDM. Intensive health education on related determinants should be strengthened for the prevention and control of GDM, especially in high-risk women.
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Affiliation(s)
- Cheng Wang
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Institute of Reproductive and Child Health, Peking University, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Lei Jin
- Tongzhou Maternal and Child Health Hospital of Beijing, Beijing, China
| | - Mingkun Tong
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Institute of Reproductive and Child Health, Peking University, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jie Zhang
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Institute of Reproductive and Child Health, Peking University, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Jinhui Yu
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Institute of Reproductive and Child Health, Peking University, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Wenying Meng
- Tongzhou Maternal and Child Health Hospital of Beijing, Beijing, China
| | - Lei Jin
- Key Laboratory of Reproductive Health, National Health Commission of the People's Republic of China, Institute of Reproductive and Child Health, Peking University, Beijing, China.,Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
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48
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Li Y, Ren X, He L, Li J, Zhang S, Chen W. Maternal age and the risk of gestational diabetes mellitus: A systematic review and meta-analysis of over 120 million participants. Diabetes Res Clin Pract 2020; 162:108044. [PMID: 32017960 DOI: 10.1016/j.diabres.2020.108044] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 12/20/2019] [Accepted: 01/27/2020] [Indexed: 11/20/2022]
Abstract
AIMS The objective of the present analysis was to evaluate and quantify the risk for gestational diabetes mellitus (GDM) according to maternal age. METHODS Three electronic databases were searched for publications from inception to July 2018. Odds ratio (OR) and 95% confidence interval (95% CI) were calculated. A dose-response analsis was performed using generalised least squares regression. Subgroup and meta-regression analyses were conducted to explore the source of identified heterogeneity among studies. RESULTS Twenty-four studies were included in the present meta-analysis. The ORs and 95% CIs for women aged <20 years vs 25-29 years, 30-34 years, 35-39 years and ≥40 years were 0.60 (95% CI = 0.50-0.72), 1.69 (95% CI = 1.49-1.93), 2.73 (95% CI = 2.28-3.27), 3.54 (95% CI = 2.88-4.34) and 4.86 (95% CI = 3.78-6.24), respectively. Dose-response analysis showed that GDM risk exhibited a linear relationship with maternal age (Ptrend < 0.001). For each one-year increase in maternal age from 18 years, GDM risk for the overall population, Asian, and Europid increased by 7.90%, 12.74%, and 6.52%, respectively. Subgroup analyses indicated that from the age of 25, Asian women had a significantly higher risk of developing GDM than Europid women (all Pinteractions < 0.001). CONCLUSIONS This meta-analysis demonstrates that the risk of GDM increases linearly with successive age-groups.
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Affiliation(s)
- Yueyi Li
- The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Xinghua Ren
- School of Traditional Chinese Medicine, Jinan University, Guangzhou 510630, China
| | - Lilan He
- The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Jing Li
- The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Shiyi Zhang
- The First Affiliated Hospital, Jinan University, Guangzhou 510630, China
| | - Weiju Chen
- The First Affiliated Hospital, Jinan University, Guangzhou 510630, China.
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49
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Lu J, Gu Y, Wang L, Li W, Zhang S, Liu H, Leng J, Liu J, Wang S, Baccarelli AA, Hou L, Hu G. Glucose metabolism among obese and non-obese children of mothers with gestational diabetes. BMJ Open Diabetes Res Care 2020; 8:8/1/e000822. [PMID: 32179515 PMCID: PMC7073815 DOI: 10.1136/bmjdrc-2019-000822] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 02/09/2020] [Accepted: 02/14/2020] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES Abdominal obesity is more closely associated with diabetes than general obesity in adults, however, it is unknown which kind of obesity is more closely associated with abnormal glucose metabolism in children. RESEARCH DESIGN AND METHODS We recruited 973 children (aged 3.08±1.06) of mothers with prior gestational diabetes mellitus (GDM). Children's height, weight, waist circumstance, fasting glucose and insulin were measured using standardized methods. Logistic regression models were used to assess the single and joint associations of general and abdominal obesity with the risks of hyperglycemia (the upper quartile of fasting glucose), insulin resistance (the upper quartile of homeostatic model assessment of insulin resistance (HOMA-IR)), and β-cell dysfunction (the lower quartile of HOMA-%β). RESULTS Compared with normal weight children, children with general overweight/obesity had higher levels of HOMA-IR and HOMA-%β, higher ORs for hyperglycemia (1.56, 95% CI 1.06 to 2.30) and insulin resistance (3.44, 95% CI 2.32 to 5.09), but a lower OR for β-cell dysfunction (0.65, 95% CI 0.41 to 1.04). Children with abdominal obesity had an increased risk of insulin resistance (2.54, 95% CI 1.71 to 3.76) but not hyperglycemia and β-cell dysfunction compared with children with normal waist circumstance. In the joint analyses, general overweight children with and without abdominal obesity had an increased risk of hyperglycemia and insulin resistance compared with normal weight children. CONCLUSIONS General obesity was more closely associated with abnormal glucose metabolism than abdominal obesity in children of mothers with GDM.
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Affiliation(s)
- Jun Lu
- Department of Endocrinology and Metabolism, Fengxian Hospital Affiliated to Southern Medical University, Shanghai Jiao Tong University Affiliated Sixth People's Hospital South Campus, Shanghai University of Medicine and Health Sciences Affiliated Shanghai Sixth People's Hospital South Campus, Shanghai, China
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
| | - Yuying Gu
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
- Department of Mathematics, Shanghai Business School-Fengpu Campus, Shanghai, China
| | - Leishen Wang
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Weiqin Li
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Shuang Zhang
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Huikun Liu
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Junhong Leng
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Jin Liu
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Shuo Wang
- Tianjin Health and Family Planning Commission, Tianjin, China
| | - Andrea A Baccarelli
- Columbia University Mailman School of Public Health, New York, New York, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Gang Hu
- Chronic Disease Epidemiology, Pennington Biomedical Research Center, Baton Rouge, Louisiana, USA
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50
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Liang Z, Liu H, Wang L, Chen Y, Zhou T, Heianza Y, Li W, Leng J, Wang J, Gao R, Hu G, Qi L. Maternal MTNR1B genotype, maternal gestational weight gain, and childhood obesity. Am J Clin Nutr 2020; 111:360-368. [PMID: 31826236 PMCID: PMC6997086 DOI: 10.1093/ajcn/nqz296] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2019] [Accepted: 11/05/2019] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Maternal metabolic abnormalities have been related to offspring obesity especially during childhood. OBJECTIVES We analyzed whether the gestational diabetes mellitus (GDM)-associated melatonin receptor 1B (MTNR1B) genotype of mothers modified the relation between maternal gestational weight gain and childhood obesity. METHODS A total of 1114 Chinese mother-child pairs (mothers with or without prior GDM) were included. Mothers' MTNR1B rs10830962 genotype and gestational weight gain were assessed. Indicators of childhood obesity included BMI-for-age z-score, weight-for-age z-score, waist circumference, and body fat. Childhood overweight and obesity were also analyzed. RESULTS We found that the maternal MTNR1B genotype significantly interacted with gestational weight gain on indicators of offspring's obesity (all P for interaction < 0.05). After multivariable adjustment, BMI-for-age z-scores associated with 1-kg gestational weight gain were 0.009 (SE 0.018), 0.026 (SE 0.010), and 0.061 (SE 0.010) in children with the maternal MTNR1B genotype CC, CG, and GG, respectively (P-interaction = 0.012). Similar interactions were observed for weight-for-age z-score, waist circumference, and body fat (P-interaction = 0.001, 0.003, and 0.012, respectively). The associations remained consistently significant in women with and without GDM. We also found significant interactions between the maternal MTNR1B genotype and gestational weight gain on the offspring's childhood overweight and obesity (P-interaction = 0.005 and 0.026, respectively). CONCLUSIONS The maternal MTNR1B genotype might interact with gestational weight gain on offspring's obesity risk during childhood.
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Affiliation(s)
- Zhaoxia Liang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Obstetrics, Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, PR China
| | - Huikun Liu
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Leishen Wang
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Yuhang Chen
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Public Health Laboratory Sciences, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, PR China
| | - Tao Zhou
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
| | - Weiqin Li
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Junhong Leng
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Jing Wang
- Tianjin Women's and Children's Health Center, Tianjin, PR China
| | - Ru Gao
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Gang Hu
- Pennington Biomedical Research Center, Baton Rouge, LA, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
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