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Wang J, Li J, Yang Z, Duan Y, Li F, Zhou P, Lai J. Trajectory of gestational weight gain is related to birthweight: The TAWS cohort study in China. MATERNAL & CHILD NUTRITION 2024; 20:e13578. [PMID: 38576191 PMCID: PMC11168369 DOI: 10.1111/mcn.13578] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 09/20/2023] [Accepted: 09/29/2023] [Indexed: 04/06/2024]
Abstract
Few studies have reported the timing and amount of gestational weight gain (GWG) to prevent large-for-gestational-age (LGA) or small-for-gestational-age (SGA). This study aimed to evaluate the association of GWG velocity in each trimester with LGA or SGA based on data from the Taicang and Wuqiang cohort study (TAWS, n = 2008). We used a linear mixed model to evaluate the association of trimester-specific GWG velocity with birthweight categories and stratified by prepregnancy body mass index category and parity. For normal-weight pregnant women, mothers with LGA births had higher GWG velocities than mothers with appropriate-for-gestational-age (AGA) births in the first trimester (0.108 vs. 0.031 kg/week, p < 0.01), second trimester (0.755 vs. 0.631 kg/week, p < 0.01) and third trimester (0.664 vs. 0.594 kg/week, p < 0.01); in contrast, mothers with SGA births had lower GWG velocities than mothers with AGA births in the second trimester (0.528 vs. 0.631 kg/week, p < 0.01) and third trimester (0.541 vs. 0.594 kg/week, p < 0.01). For normal-weight pregnant women with AGA births, multiparous women had lower GWG velocities than primiparous women in the second (0.602 vs. 0.643 kg/week, p < 0.01) and third trimesters (0.553 vs. 0.606 kg/week, p < 0.01). Therefore, for normal-weight women, LGA prevention would begin in early pregnancy and continue until delivery and the second and third trimesters may be critical periods for preventing SGA; in addition, among normal-weight pregnant women with AGA births, multiparous women tend to have lower weight gain velocities than primiparous women.
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Affiliation(s)
- Jie Wang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Human Milk ScienceChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Trace Element NutritionNational Health Commission of ChinaBeijingChina
| | - Jun Li
- Taicang Service Center for Mother and Child Health and Family Planning, TaicangSuzhouChina
| | - Zhenyu Yang
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Human Milk ScienceChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Trace Element NutritionNational Health Commission of ChinaBeijingChina
| | - Yifan Duan
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Human Milk ScienceChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Trace Element NutritionNational Health Commission of ChinaBeijingChina
| | - Fang Li
- Taicang Service Center for Mother and Child Health and Family Planning, TaicangSuzhouChina
| | - Pinjiao Zhou
- Taicang Service Center for Mother and Child Health and Family Planning, TaicangSuzhouChina
| | - Jianqiang Lai
- National Institute for Nutrition and HealthChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Human Milk ScienceChinese Center for Disease Control and PreventionBeijingChina
- Key Laboratory of Trace Element NutritionNational Health Commission of ChinaBeijingChina
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Zhu YT, Xiang LL, Chen YJ, Zhong TY, Wang JJ, Zeng Y. Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus. World J Diabetes 2024; 15:1242-1253. [DOI: 10.4239/wjd.v15.i6.1242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 03/05/2024] [Accepted: 04/25/2024] [Indexed: 06/11/2024] Open
Abstract
BACKGROUND The birth of large-for-gestational-age (LGA) infants is associated with many short-term adverse pregnancy outcomes. It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus (GDM) is significantly higher than that born to healthy pregnant women. However, traditional methods for the diagnosis of LGA have limitations. Therefore, this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants.
AIM To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM, and provide strategies for the effective prevention and timely intervention of LGA.
METHODS The multivariable prediction model was developed by carrying out the following steps. First, the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses, for which the P value was < 0.10. Subsequently, Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations, and the optimal combination factors were selected by choosing lambda 1se as the criterion. The final predictors were determined by multiple backward stepwise logistic regression analysis, in which only the independent variables were associated with LGA risk, with a P value < 0.05. Finally, a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve, calibration curve and decision curve analyses.
RESULTS After using a multistep screening method, we establish a predictive model. Several risk factors for delivering an LGA infant were identified (P < 0.01), including weight gain during pregnancy, parity, triglyceride-glucose index, free tetraiodothyronine level, abdominal circumference, alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks. The nomogram’s prediction ability was supported by the area under the curve (0.703, 0.709, and 0.699 for the training cohort, validation cohort, and test cohort, respectively). The calibration curves of the three cohorts displayed good agreement. The decision curve showed that the use of the 10%-60% threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit.
CONCLUSION Our nomogram incorporated easily accessible risk factors, facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.
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Affiliation(s)
- Yi-Tian Zhu
- Department of Clinical Laboratory, Jinling Clinical Medical College of Nanjing Medical University, Nanjing 210002, Jiangsu Province, China
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, Nanjing 210003, Jiangsu Province, China
| | - Lan-Lan Xiang
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, Nanjing 210003, Jiangsu Province, China
| | - Ya-Jun Chen
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, Nanjing 210003, Jiangsu Province, China
| | - Tian-Ying Zhong
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, Nanjing 210003, Jiangsu Province, China
| | - Jun-Jun Wang
- Department of Clinical Laboratory, Jinling Clinical Medical College of Nanjing Medical University, Nanjing 210002, Jiangsu Province, China
| | - Yu Zeng
- Department of Clinical Laboratory, Women’s Hospital of Nanjing Medical University, Nanjing Women and Children’s Healthcare Hospital, Nanjing 210003, Jiangsu Province, China
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Xue H, Qin R, Xi Q, Xiao S, Chen Y, Liu Y, Xu B, Han X, Lv H, Hu H, Hu L, Jiang T, Jiang Y, Ding Y, Du J, Ma H, Lin Y, Hu Z. Maternal Dietary Cholesterol and Egg Intake during Pregnancy and Large-for-Gestational-Age Infants: A Prospective Cohort Study. J Nutr 2024:S0022-3166(24)00180-9. [PMID: 38599384 DOI: 10.1016/j.tjnut.2024.04.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 03/25/2024] [Accepted: 04/05/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Cholesterol plays a vital role in fetal growth and development during pregnancy. There remains controversy over whether pregnant females should limit their cholesterol intake. OBJECTIVES The objective of this study was to investigate the association between maternal dietary cholesterol intake during pregnancy and infant birth weight in a Chinese prospective cohort study. METHODS A total of 4146 mother-child pairs were included based on the Jiangsu Birth Cohort study. Maternal dietary information was assessed with a semiquantitative food-frequency questionnaire. Birth weight z-scores and large-for-gestational-age (LGA) infants were converted by the INTERGROWTH-21st neonatal weight-for-gestational-age standard. Poisson regression and generalized estimating equations were employed to examine the relationships between LGA and maternal dietary cholesterol across the entire pregnancy and trimester-specific cholesterol intake, respectively. RESULTS The median intake of maternal total dietary cholesterol during the entire pregnancy was 671.06 mg/d, with eggs being the main source. Maternal total dietary cholesterol and egg-sourced cholesterol were associated with an increase in birth weight z-score, with per standard deviation increase in maternal total and egg-sourced dietary cholesterol being associated with an increase of 0.16 [95% confidence interval (CI): 0.07, 0.25] and 0.06 (95% CI: 0.03, 0.09) in birth weight z-score, respectively. Egg-derived cholesterol intake in the first and third trimesters was positively linked to LGA, with an adjusted relative risk of 1.11 (95% CI: 1.04, 1.18) and 1.09 (95% CI: 1.00, 1.18). Compared with mothers consuming ≤7 eggs/wk in the third trimester, the adjusted relative risk for having an LGA newborn was 1.37 (95% CI: 1.09, 1.72) for consuming 8-10 eggs/wk and 1.45 (95% CI: 1.12, 1.86) for consuming >10 eggs/wk (P-trend = 0.015). CONCLUSIONS Maternal total dietary cholesterol intake, as well as consuming over 7 eggs/wk during pregnancy, displayed significant positive relationships with the incidence of LGA, suggesting that mothers should avoid excessive cholesterol intake during pregnancy to prevent adverse birth outcomes.
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Affiliation(s)
- Huixin Xue
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Rui Qin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Qi Xi
- Department of Obstetrics, Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Shuxin Xiao
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yiyuan Chen
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yuxin Liu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Bo Xu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiumei Han
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hong Lv
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Haiting Hu
- Department of Scientific Research and Education, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Lingmin Hu
- Department of Reproduction, Changzhou Medical Center, Changzhou Maternity and Child Health Care Hospital, Nanjing Medical University, Changzhou, Jiangsu, China
| | - Tao Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yangqian Jiang
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Ye Ding
- Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jiangbo Du
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Hongxia Ma
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China
| | - Yuan Lin
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Maternal, Child, and Adolescent Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
| | - Zhibin Hu
- State Key Laboratory of Reproductive Medicine and Offspring Health, Nanjing Medical University, Nanjing, Jiangsu, China; Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China; State Key Laboratory of Reproductive Medicine and Offspring Health (Suzhou Centre), Gusu School, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou Municipal Hospital, Nanjing Medical University, Suzhou, Jiangsu, China.
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Pittyanont S, Suriya N, Sirilert S, Tongsong T. Comparisons of the Rates of Large-for-Gestational-Age Newborns between Women with Diet-Controlled Gestational Diabetes Mellitus and Those with Non-Gestational Diabetes Mellitus. Clin Pract 2024; 14:536-545. [PMID: 38666799 PMCID: PMC11048916 DOI: 10.3390/clinpract14020041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 02/24/2024] [Accepted: 03/21/2024] [Indexed: 04/28/2024] Open
Abstract
(1) Objectives: The primary objective is to compare the rate of large-for-gestational-age (LGA) between women with diet-controlled gestational diabetes mellitus (GDM) and those with non-GDM, and to assess whether or not diet-controlled GDM is an independent factor of LGA fetuses. The secondary objectives are to compare the rates of other common adverse pregnancy outcomes, such as preeclampsia, cesarean section rate, preterm birth, and low Apgar score, between pregnancies with diet-controlled GDM and non-GDM pregnancies. (2) Methods: A retrospective cohort study was conducted on singleton pregnancies, diagnosed with GDM and non-GDM between 24 and 28 weeks of gestation, based on a two-step screening test. The prospective database of the obstetric department was accessed to retrieve the records meeting the inclusion criteria, and full medical records were comprehensively reviewed. The patients were categorized into two groups, GDM (study group) and non-GDM (control group). The main outcome was the rate of LGA newborns, and the secondary outcomes included pregnancy-induced hypertension, preterm birth, cesarean rate, low Apgar scores, etc. (3) Results: Of 1364 recruited women, 1342 met the inclusion criteria, including 1177 cases in the non-GDM group and 165 (12.3%) in the GDM group. Maternal age and pre-pregnancy BMI were significantly higher in the GDM group. The rates of LGA newborns, PIH, and cesarean section were significantly higher in the GDM group (15.1% vs. 7.1%, p-value < 0.001; 7.8% vs. 2.6%, p-value = 0.004; and 54.5% vs. 41.5%, p-value = 0.002; respectively). On logistic regression analysis, GDM was not significantly associated with LGA (odds ratio 1.64, 95% CI: 0.97-2.77), while BMI and gender were still significantly associated with LGA. Likewise, GDM was not significantly associated with the rate of PIH (odds ratio: 1.7, 95% CI: 0.825-3.504), while BMI and maternal age were significantly associated with PIH, after controlling confounding factors. (4) Conclusions: The rates of LGA newborns, PIH, and cesarean section are significantly higher in women with diet-controlled GDM than those with non-GDM. Nevertheless, the rates of LGA newborns and PIH are not directly caused by GDM but mainly caused high pre-pregnancy BMI and advanced maternal age, which are more commonly encountered among women with GDM.
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Affiliation(s)
- Sirida Pittyanont
- Department of Obstetrics and Gynecology, Prapokklao Hospital, Chanthaburi 22000, Thailand; (S.P.); (N.S.)
| | - Narongwat Suriya
- Department of Obstetrics and Gynecology, Prapokklao Hospital, Chanthaburi 22000, Thailand; (S.P.); (N.S.)
| | - Sirinart Sirilert
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
| | - Theera Tongsong
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand
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Orós M, Lorenzo M, Serna MC, Siscart J, Perejón D, Salinas-Roca B. Obesity in Pregnancy as a Risk Factor in Maternal and Child Health-A Retrospective Cohort Study. Metabolites 2024; 14:56. [PMID: 38248859 PMCID: PMC10818803 DOI: 10.3390/metabo14010056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/11/2024] [Accepted: 01/12/2024] [Indexed: 01/23/2024] Open
Abstract
The prevalence of overweight and obesity has risen dramatically in the last few years. This has led to an increase in both conditions in pregnant women. Obesity and overweight are associated with complications for both the mother and the newborn. The aim of this study is to determine the prevalence of obesity and its association with the risk of complications during pregnancy. Materials and Methods: We conducted a retrospective cohort study of pregnant women who delivered from 1 January 2012 to 31 December 2018. Results: A higher prevalence of obesity is observed in the group of women aged 35 or older. Women with a BMI > 25 present a higher risk of cesarean section (aOR 1.49, 95% CI: 1.37-1.61), preeclampsia (aOR 1.64, 95% CI: 1.19-2.26), high-risk pregnancy (aOR 2.34, 95% CI: 1.68-2.6), Apgar < 7 at one minute (aOR 1.53, 95% CI: 1.25-1.89) and macrosomia (aOR 2.08, 95% CI: 1.83-2.37). Maternal overweight and obesity are important determinants of the risk of complications for both the mother and the newborn.
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Affiliation(s)
- Miriam Orós
- Family Medicine Department, University of Lleida, 25003 Lleida, Spain; (J.S.); (D.P.)
- Miami Platja Health Center, Catalan Institute of Health, 43892 Tarragona, Spain
| | - Marta Lorenzo
- Family Medicine Department, University of Lleida, 25003 Lleida, Spain; (J.S.); (D.P.)
- Eixample Health Center, Institut Català de la Salut, 25003 Lleida, Spain
| | - María Catalina Serna
- Eixample Health Center, Institut Català de la Salut, 25003 Lleida, Spain
- School of Medicine, Lleida University, 25003 Lleida, Spain
| | - Júlia Siscart
- Family Medicine Department, University of Lleida, 25003 Lleida, Spain; (J.S.); (D.P.)
- Serós Health Center, Catalan Institute of Health, 25183 Lleida, Spain
| | - Daniel Perejón
- Family Medicine Department, University of Lleida, 25003 Lleida, Spain; (J.S.); (D.P.)
- Cervera Health Center, Catalan Institute of Health, 25200 Lleida, Spain
| | - Blanca Salinas-Roca
- Grow-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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Wan J, Zhu J, Zeng J, Zhou H, He Y. Effect of Galactooligosaccharide on PPARs/PI3K/Akt Pathway and Gut Microbiota in High-Fat and High-Sugar Diet Combined with STZ-Induced GDM Rat Model. Probiotics Antimicrob Proteins 2023:10.1007/s12602-023-10186-z. [PMID: 37953344 DOI: 10.1007/s12602-023-10186-z] [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: 10/23/2023] [Indexed: 11/14/2023]
Abstract
Gestational diabetes mellitus (GDM) is a metabolic disorder, characterized by underlying glucose intolerance, diabetes onset or first diagnosis during pregnancy. Galactooligosaccharide (GOS) is essential for consumer protection as food supplementation. However, there is limited understanding of the effects of GOS on GDM. We successfully established a GDM rat model to explore GOS whether participated in PPARs/PI3K/Akt pathway and gut microbiota metabolites to treat for GDM. In this study, compared with the GDM group, GOS administration lowered the levels of TG, LDL-C, and HDL-C in rat serum, as well as improved the pathological changes pancreatic, liver, and kidney tissues. Compared with the GDM group, the protein expressions of PPARα, PPARγ, and PPARβ/δ markedly enhanced in GOS-treated groups (P < 0.01). Moreover, GOS administration upregulated the protein expressions of PPARα, PPARβ, PPARγ, PI3K, Akt, GLUT4, Bax, and Bcl2. GOS administration altered gut microbiota metabolites, including both SCFAs and BAs. Correlation analysis revealed close relationships between gut microbiota and experimental indicators. This study indicated that GOS effectively improved GDM in rats through the modulation of PPARs/PI3K/Akt pathway and gut microbiota. Thus, the GOS could be recommended as a candidate for novel therapy of GDM.
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Affiliation(s)
- Jiayang Wan
- The Second Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jiaqi Zhu
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jieqiong Zeng
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China
| | - Huifen Zhou
- School of Basic Medicine Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
| | - Yu He
- School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, China.
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Zhang L, Yin CQ, Sun SJ, Teng XQ, Li DY, Sun J, Cui YY. Effect of comprehensive nursing intervention on the outcomes of in vitro fertilization in patients with polycystic ovary syndrome: A randomized controlled study. Medicine (Baltimore) 2023; 102:e35489. [PMID: 37800751 PMCID: PMC10553160 DOI: 10.1097/md.0000000000035489] [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: 07/06/2023] [Accepted: 09/13/2023] [Indexed: 10/07/2023] Open
Abstract
OBJECTIVE To explore the effects of comprehensive nursing intervention on in vitro fertilization (IVF) and pregnancy outcomes in patients with polycystic ovary syndrome (PCOS). METHOD A total of 130 patients with PCOS admitted to our hospital from April 2021 to March 2023 were selected as the research subjects. They were evenly divided according to a random number table method. The control group received routine care for the patients, while the study group received comprehensive care for the patients. The IVF, pregnancy outcomes, negative emotional changes, serum and follicular fluid (FF) amyloid-related protein and C-reactive protein (CRP) levels of the 2 groups of patients were compared. RESULT The data on IVF rate and pregnancy rate in the study group were significantly better than those in the control group (P < .05). The SAS and SDS scores of the study group patients after intervention were significantly lower than those of the control group (P < .05). After intervention, the levels of serum and FF amyloid associated protein and CRP in the study group were significantly lower than those in the control group (P < .05). CONCLUSION Patients with PCOS who receive comprehensive care can increase their probability of IVF, improve their pregnancy outcomes, and have a positive significance in reducing negative emotions.
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Affiliation(s)
- Lin Zhang
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Cao-Qing Yin
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Shi-Jie Sun
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Xue-Qin Teng
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Dong-Yan Li
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Jie Sun
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
| | - Yuan-Yong Cui
- School of Medicine and Nursing, Dezhou University, Dezhou, Shandong, China
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Wang X, Zhang S, Yu W, Li G, Li J, Ji J, Mi Y, Luo X. Pre-pregnancy body mass index and glycated-hemoglobin with the risk of metabolic diseases in gestational diabetes: a prospective cohort study. Front Endocrinol (Lausanne) 2023; 14:1238873. [PMID: 37842297 PMCID: PMC10569468 DOI: 10.3389/fendo.2023.1238873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Accepted: 09/06/2023] [Indexed: 10/17/2023] Open
Abstract
Background Metabolic diseases during pregnancy result in negative consequences for mothers. Pre-pregnancy body mass index (BMI) and late-pregnancy glycated-hemoglobin (HbA1c) are most important factors independently affecting the risk of gestational diabetes mellitus (GDM). However how both affect the combined risk of other metabolic diseases in women with GDM is unclear. The study aims to investigate the influence of pre-pregnancy BMI and pregnancy glycemic levels on other gestational metabolic diseases in women with GDM. Methods Pregnancies with GDM from January 2015 to December 2018 in the Xi'an longitudinal mother-child cohort study (XAMC) were retrospectively enrolled. Those without other metabolic diseases by the time of oral glucose tolerance test (OGTT) detection were finally recruited and divided into four groups by pre-pregnancy BMI (Underweight <18.5kg/m2; Normal weight 18.5-23.9 kg/m2; Overweight 24.0-27.9 kg/m2; Obesity ≥28.0 kg/m2, respectively) or two groups by HbA1c in late pregnancy (normal HbA1c<5.7%; high HbA1c≥5.7%). Multivariate logistic regression analysis was used to identify risk factors. Interaction between pre-pregnancy BMI (reference group 18.5-23.9 kg/m2) and HbA1c (reference group <5.7%) was determined using strata-specific analysis. Results A total of 8928 subjects with GDM were included, 16.2% of which had a composite of metabolic diseases. The pre-pregnancy overweight and obesity, compared with normal BMI, were linked to the elevated risk of the composite of metabolic diseases, particularly pre-eclampsia (both P <0.001) and gestational hypertension (both P <0.001). Meanwhile, patients with high HbA1c had an obvious higher risk of pre-eclampsia (P< 0.001) and gestational hypertension (P= 0.005) compared to those with normal HbA1c. In addition, there were significant interactions between pre-pregnancy BMI and HbA1c (P< 0.001). The OR of pre-pregnancy BMI≥ 28 kg/m2 and HbA1c≥ 5.7% was 4.46 (95% CI: 2.85, 6.99; P< 0.001). The risk of other metabolic diseases, except for pre-eclampsia (P= 0.003), was comparable between the two groups of patients with different HbA1c levels at normal pre-pregnancy BMI group. However, that was remarkably elevated in obese patients (P= 0.004), particularly the risk of gestational hypertension (P= 0.004). Conclusion Pre-pregnancy overweight/obesity and late-pregnancy high HbA1c increased the risk of other gestational metabolic diseases of women with GDM. Monitoring and controlling late-pregnancy HbA1c was effective in reducing metabolic diseases, particularly in those who were overweight/obese before conception.
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Affiliation(s)
- Xinyue Wang
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
| | - Simin Zhang
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
| | - Wenlu Yu
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
| | - Guohua Li
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
| | - Jinglin Li
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
| | - Jing Ji
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
- Department of Obstetrics and Gynecology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Yang Mi
- Department of Obstetrics and Gynecology, Northwest Women’s and Children’s Hospital, Xi’an, China
| | - Xiaoqin Luo
- Department of Nutrition and Food Safety, School of Public Health, Xi’an Jiaotong University, Xi’an, China
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9
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He Y, Huang C, Luo B, Liao S. Association between Maternal Body Composition in Second Trimester and Risk of Fetal Macrosomia: A Population-Based Retrospective Study in China. Nutrients 2023; 15:3879. [PMID: 37764664 PMCID: PMC10536007 DOI: 10.3390/nu15183879] [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: 08/18/2023] [Revised: 08/30/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
(1) Background: Female body composition undergoes significant changes to support fetal growth and development during pregnancy. This study investigated the association of maternal body composition in the second trimester and macrosomia and explored whether body-composition-related indicators could be used to predict macrosomia. (2) Methods: This study was conducted in China from December 2016 to December 2021. Women with singleton pregnancies, gestational ages between 37 and 42 weeks, and an absence of pregnancy complications were included. In the second trimester, bioelectric impedance analysis (BIA) was used to measure body-composition-related indicators. Logistic regression analysis was performed to explore the risk factors for macrosomia. The predictive performance of maternal body composition and clinical indicators for macrosomia were assessed using the area under the receiver-operating-characteristics curve (AUC). (3) Results: This retrospective study involved 43,020 pregnant women; we collected 2008 cases of macrosomia. Gravidity, gestational age, body mass index (BMI), gestational weight gain (GWG), total body water, fat mass, fat-free mass (FFM), skeletal muscle mass, and visceral fat level were risk factors for macrosomia (p < 0.05 for all). In the prediction model, the AUC of FFM for predicting macrosomia was the largest (0.742). (4) Conclusions: Body-composition-related indicators associated with macrosomia and body composition measurements in the second trimester can predict the risk of macrosomia, enabling clinicians to implement interventions earlier to reduce adverse perinatal outcomes.
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Affiliation(s)
- Yirong He
- Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu 610041, China; (Y.H.); (C.H.)
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu 610041, China
| | - Chuanya Huang
- Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu 610041, China; (Y.H.); (C.H.)
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu 610041, China
| | - Biru Luo
- Department of Nursing, West China Second University Hospital, Sichuan University, Chengdu 610041, China; (Y.H.); (C.H.)
| | - Shujuan Liao
- Key Laboratory of Birth Defects and Related Diseases of Women and Children, Sichuan University, Ministry of Education, Chengdu 610041, China
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10
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Yan YS, Feng C, Yu DQ, Tian S, Zhou Y, Huang YT, Cai YT, Chen J, Zhu MM, Jin M. Long-term outcomes and potential mechanisms of offspring exposed to intrauterine hyperglycemia. Front Nutr 2023; 10:1067282. [PMID: 37255932 PMCID: PMC10226394 DOI: 10.3389/fnut.2023.1067282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Accepted: 04/06/2023] [Indexed: 06/01/2023] Open
Abstract
Diabetes mellitus during pregnancy, which can be classified into pregestational diabetes and gestational diabetes, has become much more prevalent worldwide. Maternal diabetes fosters an intrauterine abnormal environment for fetus, which not only influences pregnancy outcomes, but also leads to fetal anomaly and development of diseases in later life, such as metabolic and cardiovascular diseases, neuropsychiatric outcomes, reproduction malformation, and immune dysfunction. The underlying mechanisms are comprehensive and ambiguous, which mainly focus on microbiota, inflammation, reactive oxygen species, cell viability, and epigenetics. This review concluded with the influence of intrauterine hyperglycemia on fetal structure development and organ function on later life and outlined potential mechanisms that underpin the development of diseases in adulthood. Maternal diabetes leaves an effect that continues generations after generations through gametes, thus more attention should be paid to the prevention and treatment of diabetes to rescue the pathological attacks of maternal diabetes from the offspring.
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Affiliation(s)
- Yi-Shang Yan
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Chun Feng
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Dan-Qing Yu
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shen Tian
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yin Zhou
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi-Ting Huang
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yi-Ting Cai
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Jian Chen
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
| | - Miao-Miao Zhu
- Department of Operating Theatre, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
| | - Min Jin
- Department of Reproductive Medicine, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China
- Key Laboratory of Reproductive Genetics, Ministry of Education, School of Medicine, Zhejiang University, Hangzhou, China
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11
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Moholdt T. Diet, Exercise and Gestational Diabetes Mellitus. Nutrients 2023; 15:nu15102251. [PMID: 37242134 DOI: 10.3390/nu15102251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is defined as hyperglycaemia with blood glucose values above normal, but below those diagnostic of diabetes, and is the most common metabolic disease in pregnancy [...].
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Affiliation(s)
- Trine Moholdt
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, 7030 Trondheim, Norway
- Women's Clinic, St. Olavs Hospital, 7030 Trondheim, Norway
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12
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Yang J, Qian J, Qu Y, Zhan Y, Yue H, Ma H, Li X, Man D, Wu H, Huang P, Ma L, Jiang Y. Pre-pregnancy body mass index and risk of maternal or infant complications with gestational diabetes mellitus as a mediator: A multicenter, longitudinal cohort study in China. Diabetes Res Clin Pract 2023; 198:110619. [PMID: 36906233 DOI: 10.1016/j.diabres.2023.110619] [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: 06/01/2022] [Revised: 02/03/2023] [Accepted: 03/06/2023] [Indexed: 03/11/2023]
Abstract
AIMS We explored the complex relationships between pre-pregnancy body mass index (pBMI) and maternal or infant complications and the mediating role of gestational diabetes mellitus (GDM) in these relationships. METHODS Pregnant women from 24 hospitals in 15 different provinces of China were enrolled in 2017 and followed through 2018. Propensity score-based inverse probability of treatment weighting, logistic regression, restricted cubic spline models, and causal mediation analysis were utilized. In addition, the E-value method was used to evaluate unmeasured confounding factors. RESULTS A total of 6174 pregnant women were finally included. Compared to women with a normal pBMI, obese women had a higher risk for gestational hypertension (odds ratio [OR] = 5.38, 95% confidence interval [CI]: 3.48-8.34), macrosomia (OR = 2.65, 95% CI: 1.83-3.84), and large for gestational age (OR = 2.05, 95% CI: 1.45-2.88); 4.73% (95% CI: 0.57%-8.88%), 4.61% (95% CI: 0.51%-9.74%), and 5.02% (95% CI: 0.13%-10.18%) of the associations, respectively, were mediated by GDM. Underweight women had a high risk for low birth weight (OR = 1.42, 95% CI: 1.15-2.08) and small for gestational age (OR = 1.62, 95% CI: 1.23-2.11). Dose-response analyses indicated that 21.0 kg/m2 may be the appropriate tipping point pBMI for risk for maternal or infant complications in Chinese women. CONCLUSION A high or low pBMI is associated with the risk for maternal or infant complications and partly mediated by GDM. A lower pBMI cutoff of 21 kg/m2 may be appropriate for risk for maternal or infant complications in pregnant Chinese women.
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Affiliation(s)
- Jichun Yang
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
| | - Jie Qian
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
| | - Yimin Qu
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
| | - Yongle Zhan
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong 999077, China.
| | - Hexin Yue
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
| | - Haihui Ma
- Department of Obstetrics, Tongzhou Maternal and Child Health Hospital of Beijing, Beijing 101149, China.
| | - Xiaoxiu Li
- Department of Pediatric Gastroenterology, Dongguan Maternal and Child Health Care Hospital, Dongguan 523125, China.
| | - Dongmei Man
- Department of Obstetrics, Affiliated Hospital of Jining Medical University, Jining 272007, China.
| | - Hongguo Wu
- Department of Perinatal Health, Jiaxian Maternal and Child Health Care Hospital, Jiaxian 467199, China.
| | - Ping Huang
- Department of Nutrition, First Affiliated Hospital of Nanchang University, Nanchang 330006, China.
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, Peking Union Medical College Hospital, Beijing 100730, China.
| | - Yu Jiang
- Department of Epidemiology and Biostatistics, School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China.
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13
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Yu H, He J, Li K, Qi W, Lin J, Szumilewicz A. Quality assessment of pre- and postnatal nutrition and exercise mobile applications in the United States and China. Front Nutr 2023; 9:942331. [PMID: 36698473 PMCID: PMC9868741 DOI: 10.3389/fnut.2022.942331] [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: 05/12/2022] [Accepted: 12/20/2022] [Indexed: 01/11/2023] Open
Abstract
Background Mobile applications (apps) are becoming increasingly prevalent as tools for improving maternal health behaviors. However, the recently updated content and quality of these apps remain unknown. This research investigated the fundamental characteristics, functional modules, and overall quality of maternal apps available in the United States and China to reveal critical nutrition and physical activity gaps. Methods A systematic search was performed in Android and iOS app stores (China and the United States). Apps were eligible if they targeted pregnant or postpartum women, focused on nutrition or physical activity, and had interfaces in English or Chinese. The basic characteristics, functional modules, and overall quality of the apps were evaluated, and differences between apps available in China or the United States were determined using analysis of variance and chi-square tests. Pearson correlations were utilized to investigate links between objective quality and user rating. Results A total of 65 maternity-related nutrition and physical activity apps (34 from China and 31 from the United States) were eligible. Among them, 68% (21/31) of US apps and 56% (19/34) of Chinese apps did not provide supporting evidence for their content. A greater number of Chinese apps provided app-based general education modules, namely food nutrition knowledge (n = 0, 0% in the United States vs. n = 30, 88.2% in China). Meanwhile, a greater number of US apps provided exercise modules, namely pregnancy yoga (n = 21, 67.7% in the United States vs. n = 2, 5.9% in China). The overall app quality rating in the United States was lower than it was in China (mean: 3.5, SD: 0.6 in China vs. mean: 3.4, SD: 0.7 in the United States). There was no relationship between the overall app quality rating and the user rating in either country (rho = 0.11 in China and rho = -0.13 in the United States). Conclusion The characteristics and functional modules of in-store apps for maternal nutrition and physical activity differed between the United States and China. Both countries' apps, especially Chinese apps, lacked evidence-based information, and there was no correlation between app quality and user rating. The results therefore suggest that user ratings cannot be used as an objective indicator of app quality and that it is necessary to improve the empirical basis and credibility of apps in both countries.
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Affiliation(s)
- Hongli Yu
- Department of Sport, Gdansk University of Physical Education and Sport, Gdańsk, Poland,Jiuling Primary School, Mianyang, Sichuan, China,*Correspondence: Hongli Yu,
| | - Juan He
- Department of Sport, Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Keqiang Li
- Department of Sport, Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Wen Qi
- Department of Sport, Gdansk University of Physical Education and Sport, Gdańsk, Poland
| | - Jiahui Lin
- Football Academy, Beijing Sport University, Beijing, China
| | - Anna Szumilewicz
- Department of Sport, Gdansk University of Physical Education and Sport, Gdańsk, Poland
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14
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Florian AR, Cruciat G, Nemeti G, Staicu A, Suciu C, Sulaiman MC, Goidescu I, Muresan D, Stamatian F. Umbilical Cord Biometry and Fetal Abdominal Skinfold Assessment as Potential Biomarkers for Fetal Macrosomia in a Gestational Diabetes Romanian Cohort. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58091162. [PMID: 36143839 PMCID: PMC9502375 DOI: 10.3390/medicina58091162] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/20/2022] [Accepted: 08/22/2022] [Indexed: 02/05/2023]
Abstract
Backgroundand Objectives: Gestational diabetes mellitus (GDM) is a pregnancy-associated pathology commonly resulting in macrosomic fetuses, a known culprit of obstetric complications. We aimed to evaluate the potential of umbilical cord biometry and fetal abdominal skinfold assessment as screening tools for fetal macrosomia in gestational diabetes mellitus pregnant women. Materials and methods: This was a prospective case−control study conducted on pregnant patients presenting at 24−28 weeks of gestation in a tertiary-level maternity hospital in Northern Romania. Fetal biometry, fetal weight estimation, umbilical cord area and circumference, areas of the umbilical vein and arteries, Wharton jelly (WJ) area and abdominal fold thickness measurements were performed. Results: A total of 51 patients were enrolled in the study, 26 patients in the GDM group and 25 patients in the non-GDM group. There was no evidence in favor of umbilical cord area and WJ amount assessments as predictors of fetal macrosomia (p > 0.05). However, there was a statistically significant difference in the abdominal skinfold measurement during the second trimester between macrosomic and normal-weight newborns in the GDM patient group (p = 0.016). The second-trimester abdominal circumference was statistically significantly correlated with fetal macrosomia at term in the GDM patient group with a p value of 0.003, as well as when considering the global prevalence of macrosomia in the studied populations, 0.001, when considering both populations. Conclusions: The measurements of cord and WJ could not be established as predictors of fetal macrosomia in our study populations, nor differentiate between pregnancies with and without GDM. Abdominal skinfold measurement and abdominal circumference measured during the second trimester may be important markers of fetal metabolic status in pregnancies complicated by GDM.
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Affiliation(s)
- Andreea Roxana Florian
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
| | - Gheorghe Cruciat
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
- Correspondence: (G.C.); (G.N.)
| | - Georgiana Nemeti
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
- Correspondence: (G.C.); (G.N.)
| | - Adelina Staicu
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
| | - Cristina Suciu
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
| | - Mariam Chaikh Sulaiman
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
| | - Iulian Goidescu
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
| | - Daniel Muresan
- Obstetrics and Gynecology I, Mother and Child Department, University of Medicine and Pharmacy “Iuliu Hatieganu”, 400006 Cluj-Napoca, Romania
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Song X, Chen L, Zhang S, Liu Y, Wei J, Wang T, Qin J. Gestational Diabetes Mellitus and High Triglyceride Levels Mediate the Association between Pre-Pregnancy Overweight/Obesity and Macrosomia: A Prospective Cohort Study in Central China. Nutrients 2022; 14:nu14163347. [PMID: 36014853 PMCID: PMC9413229 DOI: 10.3390/nu14163347] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/11/2022] [Accepted: 08/12/2022] [Indexed: 12/20/2022] Open
Abstract
The purpose of this study is to investigate whether the link between pre-pregnancy overweight/obesity and risk of macrosomia is mediated by both gestational diabetes mellitus (GDM) and high maternal triglyceride (mTG) levels. This prospective study finally included 29,415 singleton term pregnancies. The outcome of interest was macrosomia (≥4000 g). High mTG levels were denoted as values ≥90th percentile. GDM was diagnosed using a standard 75 g 2 h oral glucose tolerance test. The mediation analysis was conducted using log-binomial regression while controlling for maternal age, education, parity, gestational weight gain, gestational hypertension, smoking, drinking and infant sex. Overall, 15.9% of pregnant women were diagnosed with GDM, and 4.3% were macrosomia. Mediation analysis suggested that overweight had a total effect of 0.009 (95% CI, 0.006–0.013) on macrosomia, with a direct effect of 0.008 (95% CI, 0.004–0.012) and an indirect effect of 0.001 (95% CI, 0.001–0.002), with an estimated proportion of 11.1% mediated by GDM and high mTG levels together. Furthermore, we also discovered a total effect of obesity on macrosomia of 0.038 (95% CI, 0.030–0.047), consisting of a direct effect of 0.037 (95% CI, 0.028–0.045) and an indirect effect of 0.002 (95% CI, 0.001–0.002), with an estimated proportion of 5.3% mediated by GDM and high mTG levels combined. Both GDM and high mTG levels enhanced the risk of macrosomia independently and served as significant mediators in the relationship between pre-pregnancy overweight/obesity and macrosomia.
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Affiliation(s)
- Xinli Song
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Letao Chen
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Senmao Zhang
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Yiping Liu
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Jianhui Wei
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
| | - Tingting Wang
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410028, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
| | - Jiabi Qin
- Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha 410078, China
- National Health Committee Key Laboratory of Birth Defect for Research and Prevention, Hunan Provincial Maternal and Child Health Care Hospital, Changsha 410028, China
- Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, China
- Hunan Provincial Key Laboratory of Clinical Epidemiology, Changsha 410078, China
- Correspondence: (T.W.); (J.Q.); Tel.: +86-15273188582 (T.W.); +86-15974269544 (J.Q.)
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Yang ST, Liu CH, Ma SH, Chang WH, Chen YJ, Lee WL, Wang PH. Association between Pre-Pregnancy Overweightness/Obesity and Pregnancy Outcomes in Women with Polycystic Ovary Syndrome: A Systematic Review and Meta-Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159094. [PMID: 35897496 PMCID: PMC9332574 DOI: 10.3390/ijerph19159094] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/23/2022] [Indexed: 12/17/2022]
Abstract
Polycystic ovary syndrome (PCOS) is a common metabolic problem in women of reproductive age. Evidence suggests pregnant women with PCOS may have a higher risk of the development of adverse pregnancy outcomes; however, the relationship between pre-pregnancy overweight/obesity and pregnancy outcomes in women with PCOS remains uncertain. We try to clarify the relationship between pre-pregnancy overweight/obesity and subsequent pregnancy outcomes. Therefore, we conducted this systematic review and meta-analysis. We used the databases obtained from the PubMed, Embase, Web of Science, and Cochrane databases, plus hand-searching, to examine the association between pre-pregnancy overweightness/obesity and pregnancy outcomes in women with PCOS from inception to 4 February 2022. A total of 16 cohort studies, including 14 retrospective cohort studies (n = 10,496) and another two prospective cohort studies (n = 818), contributed to a total of 11,314 women for analysis. The meta-analysis showed significantly increased odds of miscarriage rate in PCOS women whose pre-pregnancy body mass index (BMI) is above overweight (OR 1.71 [95% CI 1.38–2.11]) or obese (OR 2.00 [95% CI 1.38–2.90]) under a random effect model. The tests for subgroup difference indicated the increased risk was consistent, regardless which body mass index cut-off for overweight (24 or 25 kg/m2) or obesity (28 and 30 kg/m2) was used. With the same strategies, we found that pregnant women in the control group significantly increased live birth rate compared with those pregnant women with PCOS as well as pre-pregnancy overweight/obesity (OR 0.79 [95% CI 0.71–0.89], OR 0.78 [95% CI 0.67–0.91]). By contrast, we did not find any association between PCOS women with pre-pregnancy overweight/obesity and preterm birth. Based on the aforementioned findings, the main critical factor contributing to a worse pregnancy outcome may be an early fetal loss in these PCOS women with pre-pregnancy overweight/obesity. Since PCOS women with pre-pregnancy overweightness/obesity were associated with worse pregnancy outcomes, we supposed that weight reduction before attempting pregnancy in the PCOS women with pre-pregnancy overweightness/obesity may improve the subsequent pregnancy outcomes.
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Affiliation(s)
- Szu-Ting Yang
- Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; (S.-T.Y.); (C.-H.L.); (Y.-J.C.)
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
| | - Chia-Hao Liu
- Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; (S.-T.Y.); (C.-H.L.); (Y.-J.C.)
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
| | - Sheng-Hsiang Ma
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Department of Dermatology, Taipei Veterans General Hospital, Taipei 112, Taiwan
| | - Wen-Hsun Chang
- Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; (S.-T.Y.); (C.-H.L.); (Y.-J.C.)
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Department of Nursing, Taipei Veterans General Hospital, Taipei 112, Taiwan
- Correspondence: (W.-H.C.); (P.-H.W.); Tel.: +886-2-28757826 (ext. 340) (W.-H.C.); +886-2-28757566 (P.-H.W.)
| | - Yi-Jen Chen
- Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; (S.-T.Y.); (C.-H.L.); (Y.-J.C.)
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
| | - Wen-Ling Lee
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Department of Medicine, Cheng-Hsin General Hospital, Taipei 112, Taiwan
| | - Peng-Hui Wang
- Department of Obstetrics and Gynecology, Taipei Veterans General Hospital, Taipei 112, Taiwan; (S.-T.Y.); (C.-H.L.); (Y.-J.C.)
- Faculty of Medicine, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan;
- Department of Medical Research, China Medical University Hospital, Taichung 404, Taiwan
- Female Cancer Foundation, Taipei 104, Taiwan
- Correspondence: (W.-H.C.); (P.-H.W.); Tel.: +886-2-28757826 (ext. 340) (W.-H.C.); +886-2-28757566 (P.-H.W.)
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Lin LH, Lin J, Yan JY. Interactive Affection of Pre-Pregnancy Overweight or Obesity, Excessive Gestational Weight Gain and Glucose Tolerance Test Characteristics on Adverse Pregnancy Outcomes Among Women With Gestational Diabetes Mellitus. Front Endocrinol (Lausanne) 2022; 13:942271. [PMID: 35872998 PMCID: PMC9301308 DOI: 10.3389/fendo.2022.942271] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 06/07/2022] [Indexed: 12/16/2022] Open
Abstract
Purpose To examine the combined effect of pre-pregnancy overweight or obesity, excessive gestational weight gain, and glucose tolerance status on the incidence of adverse pregnancy outcomes among women with gestational diabetes mellitus. Methods A observational study including 5529 gestational diabetes mellitus patients was performed. Logistic regression were used to assess the independent and multiplicative interactions of overweight or obese, excessive gestational weight gain, abnormal items of oral glucose tolerance test and adverse pregnancy outcomes. Additive interactions were calculated using an Excel sheet developed by Anderson to calculate relative excess risk. Results Overall 1076(19.46%) study subject were overweight or obese and 1858(33.60%) women gained weight above recommended. Based on IADPSG criteria, more than one-third women with two, or three abnormal glucose values. Preconception overweight or obesity, above recommended gestational weight gain, and two or more abnormal items of oral glucose tolerance test parameters significantly increased the risk of adverse pregnancy outcomes, separately. After accounting for confounders, each two of overweight or obesity, excessive gestational weight gain, two or more abnormal items of OGTT parameters, the pairwise interactions on adverse pregnancy outcomes appear to be multiplicative. Coexistence of preconception overweight or obesity, above recommended gestational weight gain and two or more abnormal items of oral glucose tolerance test parameters increased the highest risk for adverse pregnancy outcomes. No additive interaction was found. Conclusions Pre-pregnancy overweight or obesity, excessive gestational weight gain, two or more abnormal items of OGTT parameters contribute to adverse pregnancy outcomes independently among women with gestational diabetes mellitus. Additionally, the combined effect between these three factors and adverse pregnancy outcomes appear to be multiplicative. Interventions focus on maternal overweight or obesity and gestational weight gain should be offered to improve pregnancy outcomes.
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Affiliation(s)
- Li-hua Lin
- Department of Healthcare, Fujian Maternity and Child Health Hospital, Fuzhou, China
| | - Juan Lin
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China
| | - Jian-ying Yan
- Department of Obstetrics, Fujian Maternity and Child Health Hospital, Fuzhou, China
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