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Wang Y, Yang J, Liu Y, Yang A, Deng Y, Xu C, Zhong S. Gestational diabetes mellitus in previous pregnancy associated with the risk of large for gestational age and macrosomia in the second pregnancy. Front Endocrinol (Lausanne) 2025; 16:1474694. [PMID: 39963281 PMCID: PMC11830583 DOI: 10.3389/fendo.2025.1474694] [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] [Academic Contribution Register] [Received: 08/02/2024] [Accepted: 01/13/2025] [Indexed: 02/20/2025] Open
Abstract
Background Since the implementation of China's new birth policy, the incidence of large for gestational age (LGA) and macrosomia associated with gestational diabetes mellitus (GDM) has increased. It remains unclear whether a history of GDM in a previous pregnancy raises the risk of LGA or macrosomia in Chinese women planning two or more pregnancies. Aim To analyze the association between previous GDM and the risk of LGA and macrosomia in second pregnancy. Method A retrospective study was conducted on a cohort of 3,131 women who had experienced two consecutive singleton births. The incidences of LGA and macrosomia in the second pregnancy were compared between women with and without previous GDM. The relationship between previous GDM and the occurrence of LGA and macrosomia was analyzed using multivariate logistic regression and stratified analysis. Results The incidence of LGA and macrosomia during the second pregnancy was significantly higher in women with previous GDM (22.67% and 10.25%, respectively) compared to those without prior GDM (15.34% and 5.06%, respectively) (P < 0.05). After adjusting for potential confounders, previous GDM was significantly associated with LGA (aOR: 1.511, 95% CI: 1.066-2.143) and macrosomia (aOR: 1.854, 95% CI: 1.118-3.076) in the second pregnancy. Stratified analysis revealed that these associations were present only in women without previous LGA, those with GDM, appropriate gestational weight gain (AGWG), non-advanced maternal age, and male newborns during the second pregnancy (P < 0.05). Compared to excessive GWG (EGWG), AGWG correlated with lower risks for LGA and macrosomia during the second pregnancy in women without prior GDM, an association not observed in those with previous GDM. Among women without previous GDM, if the pre-pregnancy BMI is normal, the risk of LGA and macrosomia is significant lower in AGWG compared with EGWG (P< 0.001), while this difference was no significant among women with prior GDM (P>0.05). Conclusion Previous GDM is strongly linked to LGA and macrosomia in subsequent pregnancies. However, this relationship is influenced by GWG, prior LGA history, fetal sex, and maternal age. Managing weight alone may not sufficiently reduce the risk of LGA or macrosomia for women with a history of GDM.
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Affiliation(s)
- Ying Wang
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Juan Yang
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Yuzhen Liu
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Ao Yang
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Yuqing Deng
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
| | - Chang Xu
- Intelligent Hospital Research Academy, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Shilin Zhong
- Center of Obstetrics and Gynecology, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
- Institute of Obstetrics and Gynecology, Shenzhen Peking University-Hong Kong University of Science and Technology (PKU-HKUST) Medical Center, Shenzhen, Guangdong, China
- Peking University Shenzhen Hospital, Shenzhen Key Laboratory on Technology for Early Diagnosis of Major Gynecologic Diseases, Shenzhen, Guangdong, China
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Peled T, Federmesser D, Mazaki E, Sela HY, Grisaru-Granovsky S, Rottenstreich M. Longer Interpregnancy Interval Is Associated with Gestational Diabetes Mellitus Recurrence. Am J Perinatol 2024. [PMID: 39572238 DOI: 10.1055/a-2480-5407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Indexed: 12/23/2024]
Abstract
OBJECTIVE This study aimed to evaluate the effect of interpregnancy interval (IPI) on the gestational diabetes mellitus (GDM) recurrence rate in the subsequent pregnancies following an initial pregnancy complicated by GDM. STUDY DESIGN A multicenter, retrospective cohort study was conducted. The study included women diagnosed with GDM during their index pregnancy who subsequently delivered between 26 and 42 weeks of gestation from 2005 to 2021. The study population was categorized into eight groups according to their IPIs: up to 3, 3-5, 6-11, 12-17, 18-23, 24-35, 36-47, and over 48 months. We examined the recurrence rate of GDM in the different groups while comparing it to the 18-23-month group that was defined as the reference group. Statistical analyses included univariate analyses and multiple logistic regression. RESULTS Out of 3,532 women who were included in the study, 1,776 (50.3%) experienced GDM recurrence in subsequent pregnancy. The recurrence rate was 44.6% for women IPI <6 months, 42.6% for women IPI of 6-11 months, 48.0% for women IPI of 12-17 months, 49.7% for women IPI of 18-23 months, 58.0% for women IPI of 24-47 months, and 62.6% for women IPI above 48 months. Multivariable logistic regression revealed that IPIs of 24-47 months and over 48 months were significantly associated with higher recurrence rates as compared with the 18-23-month reference group (adjusted odds ratio [aOR], 95% confidence interval [CI]: 1.66 [1.04-2.64] and 3.15 [1.07-9.29], respectively). This analysis also revealed other independent risk factors for GDM recurrence, including medication-controlled GDM in the index pregnancy, obesity, maternal age, parity, and gravidity. CONCLUSION Longer IPIs (over 24 months) are associated with an increased risk of GDM recurrence in subsequent pregnancies. These findings suggest that clinicians should consider IPI while managing postpartum care and planning future pregnancies for women with a history of GDM. KEY POINTS · Longer IPIs (over 24 months) are associated with an increased risk of GDM recurrence.. · Clinicians should consider IPI while managing postpartum care for women with a history of GDM.. · GDM A1, obesity, maternal age, parity, and gravidity were found as risk factors for GDM recurrence..
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Affiliation(s)
- Tzuria Peled
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University School of Medicine, Jerusalem, Israel
| | - Daniella Federmesser
- Department of Military Medicine and "Tzameret," Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel
- Medical Corps, Israel Defense Forces, Israel
| | - Eyal Mazaki
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University School of Medicine, Jerusalem, Israel
| | - Hen Y Sela
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University School of Medicine, Jerusalem, Israel
| | - Sorina Grisaru-Granovsky
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University School of Medicine, Jerusalem, Israel
| | - Misgav Rottenstreich
- Department of Obstetrics and Gynecology, Shaare Zedek Medical Center, Affiliated with the Hebrew University School of Medicine, Jerusalem, Israel
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Wang Z, Baird DD, Williams MA, Jukic AMZ, Wilcox AJ, Curry CL, Fischer‐Colbrie T, Onnela J, Hauser R, Coull BA, Mahalingaiah S. Early-life menstrual characteristics and gestational diabetes in a large US cohort. Paediatr Perinat Epidemiol 2024; 38:654-665. [PMID: 39607069 PMCID: PMC11603761 DOI: 10.1111/ppe.13129] [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] [Academic Contribution Register] [Received: 05/21/2024] [Revised: 09/11/2024] [Accepted: 09/12/2024] [Indexed: 11/29/2024]
Abstract
BACKGROUND Associations between early-life menstrual cycle characteristics (MCC) and gestational diabetes (GDM) remain unclear. OBJECTIVES To evaluate associations between early-life MCCs and GDM in first pregnancy, across pregnancies and its recurrence. METHODS This analysis included participants from a US-based digital cohort enrolled between 11/2019 and 9/2023 who provided consent, completed relevant surveys, were without diabetes and aged ≥18 at first pregnancy (n = 30,473). Age at menarche [<11 (early), 11-15 (referent), ≥16 (late) years] and time from menarche to cycle regularity [<1 (referent), 1-2, 3-4, ≥5 years, not yet regular, regular after hormones] were self-recalled at enrolment. Additionally, the last three categories were considered prolonged time-to-regularity (PTTR). GDM history was recalled at enrolment for each pregnancy. We restricted to pregnancies of ≥24 weeks with a live birth. We evaluated associations of early-life MCCs with GDM at first pregnancy using modified Poisson regression, across pregnancies using cluster-weighted Poisson generalised estimating equation and GDM recurrence using multinomial logistic regression, adjusted for sociodemographic, early-life factors and age at pregnancy. Missing variables were imputed with multiple imputation by chained equations. RESULTS Among 30,473 participants, 20,591 had eligible first pregnancies, of which 5.9% reported GDM. In 17,512 participants with ≥2 pregnancies, 8.3% had GDM once and 3.7% had recurrent GDM. Early menarche (<11 years, vs. 11-15 years) was associated with GDM in first pregnancy (RR 1.34, 95% CI 1.15, 1.57), across pregnancies (RR 1.24, 95% CI 1.10, 1.39) and recurrence (OR 1.51, 95% CI 1.21, 1.89). PTTR was associated with GDM in the first pregnancy (RR 1.22, 95% CI 1.08, 1.38), across pregnancies (RR 1.16, 95% CI 1.05, 1.27) and recurrence (OR 1.19, 95% CI 0.99, 1.43). CONCLUSIONS Earlier menarche and prolonged time-to-regularity are associated with higher risk of GDM and recurrence, suggesting menstrual characteristics during childhood/adolescence as potential early-life markers for GDM.
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Affiliation(s)
- Zifan Wang
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Donna D. Baird
- Epidemiology Branch, Division of Intramural ResearchNational Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle ParkDurhamNorth CarolinaUSA
| | - Michelle A. Williams
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Anne Marie Z. Jukic
- Epidemiology Branch, Division of Intramural ResearchNational Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle ParkDurhamNorth CarolinaUSA
| | - Allen J. Wilcox
- Epidemiology Branch, Division of Intramural ResearchNational Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle ParkDurhamNorth CarolinaUSA
| | | | | | - Jukka‐Pekka Onnela
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Russ Hauser
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of EpidemiologyHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Brent A. Coull
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
- Department of BiostatisticsHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
| | - Shruthi Mahalingaiah
- Department of Environmental HealthHarvard T.H. Chan School of Public HealthBostonMassachusettsUSA
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Eysenbach G, Chen D, Xu P, Wang X, Zhang W, Mao M, Zheng Q, Jin Y, Feng S. Web-Based Interventions for Pregnant Women With Gestational Diabetes Mellitus: Systematic Review and Meta-analysis. J Med Internet Res 2023; 25:e36922. [PMID: 36656629 PMCID: PMC9896357 DOI: 10.2196/36922] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 01/30/2022] [Revised: 11/30/2022] [Accepted: 12/18/2022] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Effective management of gestational diabetes mellitus (GDM) is essential because it is one of the most prevalent diseases during pregnancy, and the consequent condition maternal hyperglycemia is closely related to considerable short- and long-term maternal and neonatal complications. Web-based interventions (WBIs), defined as therapeutic interventions offered via the web, have been implemented to assist in managing GDM owing to their advantages of high accessibility and efficiency, but findings across relevant studies are inconsistent. OBJECTIVE This systematic review and meta-analysis aimed to evaluate the effectiveness of WBIs on glycemic control among pregnant women with GDM; examine whether specific types of intervention interactivity, format, and technology have beneficial effects on maternal glycemic control; and comprehensively assess the efficacy of WBIs in maternal behavioral outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service use and costs among pregnant women with GDM. METHODS PubMed, Embase, Cochrane Library, Web of Science, CINAHL, and PsycINFO were searched from their respective inception to November 19, 2022, to identify relevant randomized controlled trials and controlled clinical trials. The methodological quality of the included studies was assessed using the Effective Public Health Practice Project tool. Where possible, the data for all outcomes were meta-analyzed using the Stata software (version 12.0; StataCorp). Overall, 3 subgroup analyses and post hoc sensitivity analyses of maternal glycemic control parameters were performed. RESULTS Overall, 25 publications arising from 21 randomized controlled trials and controlled clinical trials were included. The overall meta-analyses on glycemic control parameters demonstrated that WBIs could significantly improve fasting blood glucose (standardized mean difference=-1.764, 95% CI -2.972 to -0.557; P=.004) and 2-hour postprandial blood glucose (standardized mean difference=-1.433, 95% CI -2.561 to -0.304; P=.01) compared with the control group, whereas no significant effect was found on glycated hemoglobin and 1-hour postprandial blood glucose. The results of the subgroup analyses indicated that mobile app-delivered interventions with a personalized format and interactive function showed more beneficial effects on maternal glycemic control. Moreover, WBIs could significantly enhance compliance with the self-monitoring of blood glucose; increase the rate of normal vaginal delivery; and decrease the chance of emergency cesarean, admission to the neonatal intensive care unit, and composite neonatal complications. GDM knowledge, risk perception of the disease, self-efficacy, satisfaction with care, and medical service use of the participants in the WBI group were also improved compared with the control group. However, the effectiveness of WBIs on other secondary outcomes was either nonsignificant or uncertain. CONCLUSIONS WBIs are a promising approach to GDM management. Personalized, interactive, and mobile app-delivered interventions seem more worthy of being recommended for future clinical practice. Further high-quality studies are required to verify these findings before making broad recommendations. TRIAL REGISTRATION PROSPERO CRD42022296625; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=296625.
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Affiliation(s)
| | - Dandan Chen
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
| | - Ping Xu
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Xiaojuan Wang
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Wei Zhang
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Minna Mao
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Qiong Zheng
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Ying Jin
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
| | - Suwen Feng
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang Province, China
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New Developments, Challenges and Open Questions in Diagnosis and Treatment of Gestational Diabetes Mellitus. J Clin Med 2022; 11:jcm11237197. [PMID: 36498770 PMCID: PMC9741290 DOI: 10.3390/jcm11237197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Academic Contribution Register] [Received: 11/26/2022] [Accepted: 11/27/2022] [Indexed: 12/12/2022] Open
Abstract
The prevalence of gestational diabetes mellitus (GDM) is increasing alongside a rising maternal age at conception, an increasing number of people making unhealthy lifestyle choices and, especially, an increasing pregestational body weight [...].
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Guo P, Jin Y, Xiang Z, Chen DD, Xu P, Wang X, Zhang W, Mao M, Zheng Q, Feng S. Web-based interventions for pregnant women with gestational diabetes mellitus: a systematic review and meta-analysis protocol. BMJ Open 2022; 12:e061151. [PMID: 35768118 PMCID: PMC9244690 DOI: 10.1136/bmjopen-2022-061151] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Academic Contribution Register] [Received: 01/18/2022] [Accepted: 06/19/2022] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Gestational diabetes mellitus (GDM) is one of the most prevalent diseases during pregnancy, which is closely associated with many short-term and long-term maternal and neonatal complications and can incur heavy financial burden on both families and society. Web-based interventions have been used to manage GDM because of the advantages of high accessibility and flexibility, but their effectiveness has remained inconclusive. This systematic review and meta-analysis aims to comprehensively investigate the multidimensional effectiveness of web-based interventions for pregnant women with GDM, thereby aiding implementation decisions in clinical settings. METHODS AND ANALYSIS This systematic review protocol strictly adheres to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines. Six electronic databases (PubMed, Web of Science, Cochrane Central Register of Controlled Trials, Embase, CINAHL and PsycINFO) will be comprehensively searched from their inception to 26 January 2022 to identify randomised controlled trials and controlled clinical trials regarding the efficacy of web-based interventions for pregnant women with GDM on glycaemic control, behavioural outcomes, cognitive and attitudinal outcomes, mental health, maternal and neonatal clinical outcomes, and medical service utilisation and costs. Two reviewers will independently conduct the study selection, data extraction and quality assessment. The methodological quality of included studies will be assessed using the Effective Public Health Practice Project assessment tool. The overall meta-analyses for each of the interested outcomes will be performed if the outcome data are sufficient and provides similar effect measures, as well as subgroup analyses for glycaemic control indicators based on the different types of intervention format, interactivity and technology. We will conduct a qualitative synthesis for studies that cannot be quantitatively synthesised. ETHICS AND DISSEMINATION Ethics approval is not required for this review as no human participants will be involved. The results will be disseminated via a peer-reviewed journal or an academic conference. PROSPERO REGISTRATION NUMBER CRD42022296625.
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Affiliation(s)
- Pingping Guo
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yin Jin
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Zhenzhen Xiang
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dan Dan Chen
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
| | - Ping Xu
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaojuan Wang
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Wei Zhang
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Minna Mao
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Qiong Zheng
- Faculty of Nursing, Zhejiang University School of Medicine, Hangzhou, China
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Suwen Feng
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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