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This study investigated the effect of household air pollution on pregnant women with GDM, and assessed the modifying effect of a healthy lifestyle on this relationship. Household solid fuel exposure was defined as using solid fuels (coal, crop residue, and wood) for cooking and heating. Four individually modifiable lifestyle factors were assessed in early pregnancy: body mass index, diet, sleep, and vitamin D supplementation. Multifactorial logistic regression modeling was used to assess the relationship between household air pollution and GDM. A stratified analysis and additive interaction tested the effects of healthy lifestyle scores. After adjusting for potential confounders, we found that using solid fuels for heating was significantly associated with an increased risk of GDM (adjusted OR = 1.60, 95% CI 1.18-2.18). GDM risk showed a decreasing trend in the medium versus the high score group when compared to the low score group, with a consistent trend regardless of household fuel type used (adjusted OR = 0.39, 95% CI 0.27-0.57) (adjusted OR = 0.12, 95% CI 0.05-0.28), respectively. Importantly, when the healthy lifestyle score increased, exposure to household air pollution was no longer associated with a higher GDM risk. There was a negative additive interaction between exposure to household solid fuels exposure and a healthy lifestyle (FERI: -5.10 [-16.48, -2.04]; AP: -1.29 [-2.80, -0.39]; SI: -0.37 [-0.20, -0.67]). We determined that exposure to household air pollution may be an important GDM risk factor. In addition, A healthy lifestyle may have a protective effect on women with GDM exposed to indoor fuel air pollution., (© 2024. The Author(s).)

Introduction: Gestational diabetes mellitus (GDM) continues to increase particularly for non-European women. This study aimed to identify and quantify risk factors for women diagnosed with gestational diabetes in New Zealand to identify women at higher risk., Methods: A national dataset of 601,166 eligible women who had ≥ 1 birth in New Zealand between January 2001 and December 2010 identified 11,459 women with gestational diabetes of whom 11,447 were randomly matched with 57,235 control women for age and year of delivery., Results: Adjusted odds ratios (95% CI) showed higher odds of gestational diabetes for Asian (3.60, 3.39-3.82), Pacific (2.76, 2.57-2.96) and Māori (1.23, 1.15-1.31) women compared with European/Other women. Women most economically disadvantaged (1.44, 1.34-1.56), not registered with a lead maternity carer (1.16, 1.04-1.30) and those identified as smokers (1.20, 1.11-1.31) were more likely than control women to develop gestational diabetes. In contrast, women residing in rural (0.83, 0.77-0.88) and remote areas (0.68, 0.60-0.77) were less likely to develop gestational diabetes compared with women living in urban areas, and similarly for non-New Zealand resident women (0.78, 0.72-0.85) compared with resident women., Conclusions: Women who were diagnosed with gestational diabetes were more likely to be non-European, economically disadvantaged, residing in urban areas, unregistered with a lead maternity carer and more likely to smoke. In addition to universal screening for pre-existing diabetes, all women at risk of gestational diabetes should be identified and supported to undertake to a 75 g glucose challenge test between 24 and 28 weeks., (© 2024 The Author(s). Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.)

Context: There are contradictory findings about the relationship between various animal protein sources and the risk of gestational diabetes mellitus (GDM)., Objective: The purpose of our study was to understand better the associations between total protein, animal protein, and animal protein sources and the risk of developing GDM., Data Sources: A systematic literature search was conducted in PubMed, Scopus, and Web of Science encompassing the literature up until August 2022. A random-effects model was used to combine the data. For estimating the dose-response curves, a one-stage linear mixed-effects meta-analysis was conducted., Data Extraction: Data related to the association between animal protein consumption and the risk of GDM in the general population was extracted from prospective cohort studies., Data Analysis: It was determined that 17 prospective cohort studies with a total of 49 120 participants met the eligibility criteria. It was concluded with high certainty of evidence that there was a significant association between dietary animal protein intake and GDM risk (1.94, 95% CI 1.42 to 2.65, n = 6). Moreover, a higher intake of total protein, total meat, and red meat was positively and significantly associated with an increased risk of GDM. The pooled relative risks of GDM were 1.50 (95% CI: 1.16, 1.94; n = 3) for a 30 g/d increment in processed meat, 1.68 (95% CI: 1.25, 2.24; n = 2) and 1.94 (95% CI: 1.41, 2.67; n = 4) for a 100 g/d increment in total and red meat, and 1.21 (95% CI: 1.10, 1.33; n = 4) and 1.32 (95% CI: 1.15, 1.52; n = 3) for a 5% increment in total protein and animal protein, respectively. GDM had a positive linear association with total protein, animal protein, total meat consumption, and red meat consumption, based on non-linear dose-response analysis., Conclusion: Overall, consuming more animal protein-rich foods can increase the risk of GDM. The results from the current study need to be validated by other, well-designed prospective studies., Systematic Review Registration: PROSPERO registration no. CRD42022352303., (© The Author(s) 2023. Published by Oxford University Press on behalf of the International Life Sciences Institute. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Background/objectives: Maternal nutritional status is a "key" contributor to Gestational Diabetes Mellitus (GDM). However, the role of maternal dietary patterns (DPs) during pregnancy remains poorly understood. Thus, we conducted a systematic review to assess associations between "a posteriori-derived" DPs and GDM., Methods: A systematic search was conducted in PubMed, ScienceDirect, Web of Science, and Scopus for cohort, cross-sectional, and case-control studies published until June 2024. A total of twenty-eight studies involving 39,735 pregnant women were included, and their quality was evaluated by the Newcastle-Ottawa Scale. The 91 identified DPs were classified into four categories: "Westernized", "Nutritious", "Plant-based", and "Miscellaneous"., Results: Our findings do not reveal definitive associations between maternal DPs during pregnancy and GDM risk. Notably, "Westernized" DPs tended to be associated with an increased risk. However, a very small portion of patterns within this category exhibited protective associations. Conversely, "Nutritious" and "Plant-based" appear beneficial for GDM prevention in specific populations. The "Miscellaneous" category presented an almost equal distribution of DPs with both detrimental and protective associations, pinpointing the absence of a clear directional trend regarding GDM risk., Conclusions: The heterogeneity in findings can be attributed to geographic and sociocultural variations and methodological differences across studies. Thus, there is a need for more standardized research methodologies to provide more precise insights that will ultimately help develop effective and tailored dietary guidelines for GDM prevention.

Objective: To evaluate the association between consumed non-nutritive sweeteners (NNS) and gestational diabetes mellitus (GDM) in a cohort of pregnant women from Santiago, Chile., Methods: This secondary data analysis of a cohort.involved 1,472 pregnant women from the Chilean Maternal-Infant Cohort Study-II (CHiMINCs-II). These women received care at primary health care centers in Puente Alto county, South-Eastern Metropolitan Health Service of Santiago, Chile. NNS consumption was estimated using 24-h dietary recalls and linked to the packaged foods nutrition facts panel. Plasma glucose values were extracted from clinical records. GDM was defined according to national criteria: 1) fasting plasma glucose (FPG) ≥100 and <126 mg/dL at the first antenatal visit; 2) FPG ≥100 mg/dL or 2-hour plasma glucose ≥140 mg/dL in the 75 g oral glucose tolerance test at 24-28 weeks. Cases with a GDM diagnosis in their medical records were also considered regardless of test results. The association between each NNS and GDM was assessed using logistic regression models., Results: A total of 77.8% of the participants consumed NNS. The most consumed was sucralose (66%), followed by acesulfame-K (43.6%), and steviol glycosides (41.1%). Beverages (82%), dairy (12.4%) and candy products (4.4%) were the primary dietary sources of NNS. The GDM incidence was 18.9%, higher among consumers of any NNS compared to non-consumers (20.3% vs. 14.2%, p < 0.05). The adjusted model showed a significant association between the consumption of any NNS and sucralose and the risk of GDM (OR for any NNS = 1.58; 95% CI: 1.10-2.26; P = 0.014; OR sucralose = 1.44; 95% CI 1.06-1.95; P = 0.020)., Conclusions: The consumption of NNS, particularly sucralose, is associated with an increased risk of GDM in pregnant women. Further studies are essential to validate these results in other contexts and to guide future recommendations for healthier dietary practices among pregnant populations., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Background: As the global consumption of sugary and non-sugar sweetened beverages continues to rise, there is growing concern about their health impacts, particularly among pregnant women and their offspring., Objective: This study aimed to investigate the consumption patterns of various beverages among pregnant women in Shanghai and their potential health impacts on both mothers and offspring., Method: We applied a multi-stage random sampling method to select participants from 16 districts in Shanghai. Each district was categorised into five zones. Two towns were randomly selected from each zone, and from each town, 30 pregnant women were randomly selected. Data were collected through face-to-face questionnaires. Follow-up data on births within a year after the survey were also obtained., Result: The consumption rates of total beverages (TB), sugar-sweetened beverages (SSB), and non-sugar sweetened beverages (NSS) were 73.2%, 72.8%, and 13.5%, respectively. Logistic regression analysis showed that compared to non-consumers, pregnant women consuming TB three times or less per week had a 38.4% increased risk of gestational diabetes mellitus (GDM) (OR = 1.384; 95% CI: 1.129-1.696) and a 64.2% increased risk of gestational hypertension (GH) (OR = 1.642; 95% CI: 1.129-2.389). Those consuming TB four or more times per week faced a 154.3% higher risk of GDM (OR = 2.543; 95% CI: 2.064-3.314) and a 169.3% increased risk of GH (OR = 2.693; 95% CI: 1.773-4.091). Similar results were observed in the analysis of SSB. Regarding offspring health, compared to non-consumers, TB consumption four or more times per week was associated with a substantial increase in the risk of macrosomia (OR = 2.143; 95% CI: 1.304-3.522) and large for gestational age (LGA) (OR = 1.695; 95% CI: 1.219-2.356). In the analysis of NSS, with a significantly increased risk of macrosomia (OR = 6.581; 95% CI:2.796-13.824) and LGA (OR = 7.554; 95% CI: 3.372-16.921)., Conclusion: The high level of beverage consumption among pregnant women in Shanghai needs attention. Excessive consumption of beverages increases the risk of GDM and GH, while excessive consumption of NSS possibly has a greater impact on offspring macrosomia and LGA.

Background: Gestational diabetes mellitus has been linked to inflammation, immune dysregulation in offspring, and changes in the microbiota. It may have long-term implications for the health of children. The aim of this study was to determine if gestational diabetes mellitus increases the risk of allergic diseases in offspring., Methods: The data source was the National Health Insurance Research Database (NHIRD) of Taiwan. The pairing of mothers and children was established by connecting the NHIRD with the Taiwan Maternal and Child Health Database. First-time pregnant mothers between 2004 and 2019 were enrolled. The GDM group consisted of 22,741 cases. The control group was selected from individuals without GDM matched by maternal age, neonatal gender, and neonatal birthdate at a ratio of 1-4. The primary endpoint was the incidence of childhood allergic diseases, such as asthma, allergic rhinitis, atopic dermatitis, and urticaria. The secondary endpoint was the risk associated with the development of allergic diseases in offspring, considering the presence or absence of insulin therapy., Results: The development of allergic rhinitis, atopic dermatitis, and urticaria were found to be significantly associated with GDM. However, no significant association was observed between GDM and asthma. GDM control without insulin was associated with an increased risk of developing allergic rhinitis, urticaria, and atopic dermatitis. However, in the group receiving insulin treatment, there was no significant elevation in the risk of any allergic diseases., Conclusion: GDM may elevate the risk of certain atopic diseases in offspring, such as allergic rhinitis, atopic dermatitis, and urticaria., Competing Interests: Declaration of competing interest The authors declare there are no conflicts of interest to disclose., (Copyright © 2024 Taiwan Pediatric Association. Published by Elsevier B.V. All rights reserved.)

Objective: Red and processed meat is considered risk factors of gestational diabetes mellitus (GDM), but the evidence is inconclusive. We aimed to examine the association between red and processed meat intake and odds of GDM among South Asian and White European women living in Canada., Methods: This is a cross-sectional analysis of pregnant women from two birth cohorts: SouTh Asian biRth cohorT (START; n = 976) and Family Atherosclerosis Monitoring In earLY life (FAMILY; n = 581). Dietary intake was assessed using a validated 169-item semi-quantitative food-frequency questionnaire (FFQ). Multivariate logistic regression models were used to examine the associations between gestational diabetes and: 1) total red and processed meat; 2) unprocessed red meat; 3) processed meat and GDM after adjustment for potential confounders., Results: There were 241 GDM cases in START and 91 in FAMILY. The median total red and processed meat intake were 1.5 g/d (START) and 52.8 g/d (FAMILY). In START, the multivariable-adjusted odds ratio (OR) showed neither lower nor higher intakes of unprocessed red meat (p-trend = 0.68), processed meat (p-trend = 0.90), or total red and processed meat (p-trend = 0.44), were associated with increased odds of GDM, when compared with medium intake. Similar results were observed in FAMILY except for processed meat intake [OR = 0.94 (95% CI 0.47-1.91), for medium versus low and OR = 1.51 (95% CI 0.77-2.29) for medium versus high; p-trend = 0.18] after adjusting for additional dietary factors such as the diet quality score, total fiber, saturated fat and glycemic load., Conclusion: Medium compared with low or high red and processed meat intake is not associated with GDM in White Europeans and South Asians living in Canada., Competing Interests: Hertzel C. Gerstein holds the McMaster-Sanofi Population Health Institute Chair in Diabetes Research and Care. He reports research grants from Eli Lilly, AstraZeneca, Novo Nordisk, and Sanofi; honoraria for speaking from AstraZeneca, Boehringer Ingelheim, Eli Lilly, Novo Nordisk, DKSH, Zuellig, Roche, Sanofi, Jiangsu Hanson, and Carbon Brand; and consulting fees from Abbott, Eli Lilly, Novo Nordisk, Sanofi, Kowa, Pfizer, Hanmi and Viatris. Russell J. de Souza has served as an external resource person to the World Health Organization’s Nutrition Guidelines Advisory Group on trans fats, saturated fats, and polyunsaturated fats. The WHO paid for his travel and accommodation to attend meetings from 2012-2017 to present and discuss this work. He has also done contract research for the Canadian Institutes of Health Research’s Institute of Nutrition, Metabolism, and Diabetes, Health Canada, and the World Health Organization for which he received remuneration. He has received speaker’s fees from the University of Toronto, and McMaster Children’s Hospital. He has held grants from the Canadian Institutes of Health Research, Canadian Foundation for Dietetic Research, Population Health Research Institute, and Hamilton Health Sciences Corporation as a principal investigator, and is a co-investigator on several funded team grants from the Canadian Institutes of Health Research. He serves as a member of the Nutrition Science Advisory Committee to Health Canada (Government of Canada), a co-opted member of the Scientific Advisory Committee on Nutrition (SACN) Subgroup on the Framework for the Evaluation of Evidence (Public Health England), and as an independent director of the Helderleigh Foundation (Canada). These affiliations do not alter our adherence to PLOS ONE policies on sharing data and materials. START has not received funding/assistance from a commercial organization., (Copyright: © 2024 Stennett et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

To investigate neonatal injuries, morbidities and risk factors related to vaginal deliveries. This retrospective, descriptive study identified 3500 patients who underwent vaginal delivery between 2020 and 2022. Demographic data, neonatal injuries, complications arising from vaginal delivery and pertinent risk factors were documented. Neonatal injuries and morbidities were prevalent in cases of assisted vacuum delivery, gestational diabetes mellitus class A2 (GDMA2) and pre-eclampsia with severe features. Caput succedaneum and petechiae were observed in 291/3500 cases (8.31%) and 108/3500 cases (3.09%), respectively. Caput succedaneum was associated with multiparity (adjusted odds ratio [AOR] 0.36, 95% confidence interval [CI] 0.22-0.57, P < 0.001) and assisted vacuum delivery (AOR 5.18, 95% CI 2.60-10.3, P < 0.001). Cephalohaematoma was linked to GDMA2 (AOR 11.3, 95% CI 2.96-43.2, P < 0.001) and assisted vacuum delivery (AOR 16.5, 95% CI 6.71-40.5, P < 0.001). Scalp lacerations correlated with assisted vacuum and forceps deliveries (AOR 6.94, 95% CI 1.85-26.1, P < 0.004; and AOR 10.5, 95% CI 1.08-102.2, P < 0.042, respectively). Neonatal morbidities were associated with preterm delivery (AOR 3.49, 95% CI 1.39-8.72, P = 0.008), night-time delivery (AOR 1.32, 95% CI 1.07-1.63, P = 0.009) and low birth weight (AOR 7.52, 95% CI 3.79-14.9, P < 0.001). Neonatal injuries and morbidities were common in assisted vacuum delivery, maternal GDMA2, pre-eclampsia with severe features, preterm delivery and low birth weight. Cephalohaematoma and scalp lacerations were prevalent in assisted vaginal deliveries. Most morbidities occurred at night.Clinical trial registration: Thai Clinical Trials Registry 20220126004., (© 2024. The Author(s).)

Background: Gestational diabetes mellitus (GDM) remains a global public health problem, which affects the well-being of mothers and their children in sub-Saharan Africa (SSA). Studies conducted in different geographical areas provide varied results on its prevalence and predictors. Understanding the extent and predictors of GDM in SSA is important for developing effective interventions and policies. Thus, this review aimed to investigate the prevalence of GDM and its predictive factors in sub-Saharan Africa., Methods: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards in this review. An extensive search of the PubMed, Web of Sciences and EMBASE databases was carried out covering papers from 2012 to 2022 to assess the prevalence and predictors of GDM. Microsoft Excel 2019 was utilised for study management. GraphPad Prism Version 8.0 and the MedCalc statistical software were employed for data analysis. The findings were analysed using textual descriptions, tables, forest plots and heat maps., Results: Using 30 studies with 23,760 participants that satisfied the inclusion criteria, the review found the overall prevalence of GDM in SSA to be 3.05% (1.85%-4.54%). History of preterm delivery, alcohol consumption, family history of diabetes, history of stillbirths, history of macrosomia, overweight or obesity and advanced mother age were all significant predictors of gestational diabetes. Additionally, various biomarkers such as haemoglobin, adiponectin, leptin, resistin, visfatin, vitamin D, triglycerides and dietary intake type were identified as significant predictors of GDM., Conclusion: In sub-Saharan Africa, there is a high pooled prevalence of gestational diabetes mellitus. In the light of the predictors of GDM identified in this review, it is strongly recommended to implement early screening for women at risk of developing gestational diabetes during their pregnancy. This proactive approach is essential for enhancing the overall well-being of both mothers and children., (© 2024 The Authors. Endocrinology, Diabetes & Metabolism published by John Wiley & Sons Ltd.)

The present umbrella review evaluated the environmental risk factors prior to conception associated with fetal macrosomia based on meta-analyses and systematic reviews. We systematically searched international databases, including PubMed, Scopus, and Web of Science, until April 2023 by using some relevant keywords. The quality of the included studies was assessed using the AMSTAR 2checklist. The risk factor of advanced maternal age 35-39 years compared with <30 years (OR 1·42, 95 % CI: 1·25, 1·60), prepregnancy obesity (OR 1.93, 95 % CI: 1.65, 2.27) and excessive weight gain before and during pregnancy (OR 2.35, 95 % CI: 1.95, 2.85) were graded as suggestive evidence (class III). Two risk factors of advanced maternal age >40 years compared with <30 years (OR 1.40, 95 % CI: 1.02, 1.78) and gestational diabetes mellitus (GDM) without insulin use (OR 1.70, 95 % CI: 1.23, 2.36) were graded as risk factors with weak evidence (class IV). Advanced maternal age, prepregnancy obesity, excessive weight gain before and during pregnancy, and GDM without insulin use were environmental risk factors for macrosomia., Competing Interests: Declaration of competing interest The author declared there was not conflict of interest., (Copyright © 2024 Taiwan Pediatric Association. Published by Elsevier B.V. All rights reserved.)

Objective: To determine the impact of implementing emergency care pathway(s) for screening, diagnosing and managing women with gestational diabetes (GDM) during COVID-19., Design: Retrospective multicentre cohort., Setting: Nine National Health Service (NHS) Hospital Trusts/Health boards in England and Scotland., Population: 4915 women with GDM pre-pandemic (1 April 2018 to 31 March 2020), and 3467 women with GDM during the pandemic (1 May 2020 to 31 March 2021)., Methods: We examined clinical outcomes for women with GDM prior to and during the pandemic following changes in screening methods, diagnostic testing, glucose thresholds and introduction of virtual care for monitoring of antenatal glycaemia., Main Outcome Measures: Intervention at birth, perinatal mortality, large-for-gestational-age infants and neonatal unit admission., Results: The new diagnostic criteria more often identified GDM women who were multiparous, had higher body mass index (BMI) and greater deprivation, and less frequently had previous GDM (all p < 0.05). During COVID, these women had no differences in the key outcome measures. Of the women, 3% were identified with pre-existing diabetes at antenatal booking. Where OGTT continued during COVID, but virtual care was introduced, outcomes were also similar pre- and during the pandemic., Conclusions: Using HbA1c and fasting glucose identified a higher risk GDM population during the pandemic but this had minimal impact on pregnancy outcomes. The high prevalence of undiagnosed pre-existing diabetes suggests that women with GDM risk factors should be offered HbA1c screening in early pregnancy., (© 2023 The Authors. BJOG: An International Journal of Obstetrics and Gynaecology published by John Wiley & Sons Ltd.)

Understanding how maternal micronutrient intake and dietary habits impact gestational diabetes mellitus (GDM) is crucial. Data from 797 pregnant women were prospectively analyzed to assess GDM status with the oral glucose tolerance test (OGTT). Nutritional intake was evaluated using a validated food frequency questionnaire (FFQ) across two periods: Period A, covering 6 months before pregnancy, and Period B, from pregnancy onset to mid-gestation (24 weeks). Micronutrient intakes were compared against the European Food Safety Authority (EFSA) dietary reference values (DRVs) and were used to estimate the mean adequacy ratio (MAR) to assess dietary adequacy. GDM was diagnosed in 14.7% ( n = 117) of women with the characteristics of a higher mean maternal age (MA) and pre-pregnancy body mass index (BMI). Out of the 13 vitamins assessed, biotin, folate, niacin, and pantothenic acid were found significantly higher in the GDM group, as did iron, magnesium, manganese, phosphorus, and zinc from the 10 minerals. The results were influenced by the timing of the assessment. Importantly, MAR was higher during pregnancy and was found to increase the risk of GDM by 1% (95%CI: 1, 1.02). A sensitivity analysis revealed that reducing MAR significantly raised the GDM risk by 68% (95%CI: 1.02, 2.79). No association was revealed between adherence to the Mediterranean diet (MD) and GDM risk. These findings highlight areas for further investigation into whether dietary modifications involving these specific micronutrients could effectively influence GDM outcomes.

Background: Breastfeeding appears to reduce the risk of childhood overweight/obesity. However, it remains unclear whether this protective effect persists among high-risk populations. This study aims to investigate the association of breastfeeding with the risk of overweight/obesity in early childhood and whether this association is altered by gestational diabetes mellitus (GDM) or size at birth. Methods: Feeding practices during the first 12 months of age and weight and length at 12-36 months of age were collected. Full breastfeeding includes exclusive and predominant breastfeeding. Children with body mass index (BMI) values greater than 1 standard deviation from the mean of sex- and age-specific BMI were classified as overweight/obese. Multiple generalized estimating equations models were applied to analyze the associations of full breastfeeding duration with overweight/obesity risk. Results: Among all participants ( n = 9329), infants with a longer full-breastfeeding duration had a reduced risk of overweight/obesity in early childhood compared with those breastfed for less than one month. Infants exposed to GDM and those born large for gestational age (LGA) had a higher risk of overweight/obesity in early childhood. Among infants of mothers with GDM ( n = 1748), infants with full breastfeeding for greater than 6 months (aOR: 0.58; 95% CI: 0.44, 0.78) showed a decreased risk of overweight/obesity in early childhood compared with those breastfed for less than one month. Among LGA infants ( n = 1279), infants with full breastfeeding for 3-5 months (aOR: 0.66; 95% CI: 0.57, 0.76) and greater than 6 months (aOR: 0.70; 95% CI: 0.56, 0.88) showed a decreased risk of overweight/obesity in early childhood. Similar results were observed among LGA infants of mothers with GDM. Conclusions: Initiating and prolonging breastfeeding would reduce the risk of overweight/obesity in early childhood, and LGA infants and infants born to mothers with GDM would experience greater benefits.

Background: Outdoor artificial light at night (ALAN) has been linked to an elevated risk of diabetes, but the available literature on the relationships between ALAN and glucose homeostasis in pregnancy is limited., Methods: A prospective cohort study of 6730 pregnant women was conducted in Hefei, China. Outdoor ALAN exposure was estimated using satellite data with individual addresses at a spatial resolution of approximately 1 km, and the average ALAN intensity was calculated. Gestational diabetes mellitus (GDM) was diagnosed based on a standard 75-g oral glucose tolerance test. Multivariable linear regression and logistic regression were used to estimate the relationships between ALAN and glucose homeostasis., Results: Outdoor ALAN was associated with elevated glucose homeostasis markers in the first trimester, but not GDM risk. An increase in the interquartile range of outdoor ALAN values was related to a 0.02 (95% confidence interval [CI]: 0.00, 0.03) mmol/L higher fasting plasma glucose, a 0.42 (95% CI: 0.30, 0.54) μU/mL increase in insulin and a 0.09 (95% CI: 0.07, 0.12) increase in homeostatic model assessment of insulin resistance (HOMA-IR) during the first trimester. Subgroup analyses showed that the associations between outdoor ALAN exposure and fasting plasma glucose, insulin, and HOMA-IR were more pronounced among pregnant women who conceived in summer and autumn., Conclusions: The results provided evidence that brighter outdoor ALAN in the first trimester was related to elevated glucose intolerance in pregnancy, especially in pregnant women conceived in summer and autumn, and effective strategies are needed to prevent and manage light pollution., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier Inc. All rights reserved.)

Objective: This study aims to explore the association between outdoor artificial light at night (ALAN) exposure and gestational diabetes mellitus (GDM)., Methods: This study is a retrospective case-control study. According with quantiles, ALAN has been classified into three categories (Q1-Q3). GDM was diagnosed through oral glucose tolerance tests. Conditional logistic regression models were used to evaluate the association between ALAN exposure and GDM risk. The odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. Restricted cubic spline analysis (RCS) was utilized to investigate the no liner association between ALAN and GDM., Results: A total of 5,720 participants were included, comprising 1,430 individuals with GDM and 4,290 matched controls. Pregnant women exposed to higher levels of ALAN during the first trimester exhibited an elevated risk of GDM compared to those with lower exposure levels (Q2 OR = 1.39, 95% CI 1.20-1.63, p  < 0.001); (Q3 OR = 1.70, 95% CI 1.44-2.00, p  < 0.001). Similarly, elevated ALAN exposure during the second trimester also conferred an increased risk of GDM (second trimester: Q2 OR = 1.70, 95% CI 1.45-1.98, p  < 0.001; Q3 OR = 2.08, 95% CI 1.77-2.44, p  < 0.001). RCS showed a nonlinear association between ALAN exposure and GDM risk in second trimester pregnancy, with a threshold value of 4.235., Conclusion: Outdoor ALAN exposure during pregnancy is associated with an increased risk of GDM., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Sun, Ye, Liu, Yang, Hui, Chen, Liu, Guo, Wang, Lv, Tang and Zhang.)

Aims: Several studies showed that Assisted Reproductive Technology (ART) could affect gestational diabetes mellitus (GDM) onset. The aim of this study was to estimate the prevalence of GDM risk factors in a cohort of women with singleton pregnancy obtained by ART and complicated by GDM. Maternal and neonatal outcomes were explored., Methods: We retrospectively collected data of pregnancies of women with singleton pregnancy obtained by ART and complicated by GDM consecutively cared for at a specialized center for diabetes and pregnancy care. Prevalence and combination of GDM risk factors, their combinations and maternal-fetal outcomes were estimated., Results: Overall, our cohort included 50 women (mean age of 40.4 ± 4.7 years, mean pre-pregnancy BMI 26.3 ± 6.2 kg/m 2 ). The most frequent GDM traditional risk factors were age ≥ 35 years (94 %), family history of diabetes (44 %), overweight (29 %) and obesity (19 %). Combining risk factors, 5 groups were identified with 1, 2, 3, 4, or 5 risk factors with a prevalence respectively of 28 %, 46 %, 20 %, 4 %, and 2 %. Examining features of the above groups, pre-pregnancy weight (p < 0.0001) and pre-pregnancy BMI (p < 0.0001) statistically significant differed in the 5 groups, increasing with higher numbers of risk factors. Regarding neonatal outcomes only neonatal hypoglycemia (p = 0.03) differed significantly among the groups, with higher percentages in women with higher numbers of combined risk factors., Conclusion: Prevalence of GDM traditional risk factors in singleton ART pregnancies complicated by GDM is considerable. Such pregnancies need appropriate clinical attention because of the risk of adverse outcomes., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 Elsevier B.V. All rights reserved.)

To investigate the association of red and processed meat intake with the risk of gestational diabetes (GDM) in Iranian mothers. A total of 635 pregnant mothers were included. Dietary intake was assessed by a 90-item food frequency questionnaire during the first trimester of pregnancy. Intakes of total red meat, unprocessed red meat, and processed meat were calculated and then, Cox proportional hazard model was used to calculate the hazard ratios (HR) and 95%CIs of GDM across tertiles of red meat intake while controlling for age, occupation, pre-pregnancy body mass index, physical activities, history of cardiovascular disease, hypertension, hypothyroidism, hyperthyroidism, and pregnancy hypertension, order of pregnancy, nausea during current pregnancy, multivitamin use during current pregnancy, weight gain during current pregnancy and total energy intake. The average age of the mothers was 28.80 ± 5.09 years, the average pre-pregnancy body mass index was 25.13 ± 4.43 kg/m 2 , and the average weight gain during pregnancy was 13.50 ± 5.03 kg. The multivariable-adjusted HRs of GDM for the third tertiles of red and processed meat, red meat, and processed meat intake were, respectively, 1.92 (95% CI 1.06, 3.49), 1.52 (95% CI 0.85, 2.72) and 1.31 (95% CI 0.73, 2.34) when compared to the first tertiles. Our prospective cohort study suggested that there was a positive association between the consumption of red and processed meat and with risk of GDM in a small sample of Iranian mothers with low red meat intake. More large-scale cohort studies in the Iranian population are needed to present more robust evidence in this regard., (© 2024. The Author(s).)

Context: Evidence on the associations of low-carbohydrate diet (LCD) during pregnancy with gestational diabetes mellitus (GDM) has been limited and inconsistent., Objective: We aimed to prospectively evaluate the risk of GDM associated with the LCD considering the quality of macronutrients., Methods: All participants were from a prospective cohort in Wuhan, China. The overall, healthy LCD (emphasizing low-quality carbohydrates, plant protein, and unsaturated fat), and unhealthy LCD (emphasizing high-quality carbohydrates, animal protein, and saturated fat) scores were calculated according to the percentage of energy intake from carbohydrates, protein, and fat. GDM was screened by a 75-g oral glucose tolerance test between 24 and 28 weeks. Poisson regression models were used to calculate relative risks (RRs) and 95% CIs., Results: Of 2337 pregnant women, 257 (11.0%) were diagnosed with GDM. Overall LCD score was not associated with risk of GDM, but the healthy and unhealthy LCD scores were associated with the risk of GDM. The multivariable-adjusted RRs (95% CI) were 0.68 (0.49-0.94) and 1.52 (1.11-2.08) for healthy and unhealthy LCD scores comparing the highest with the lowest quartile. Substituting high-quality carbohydrates for low-quality carbohydrates and animal protein, and substituting unsaturated fat for saturated fat, were associated with a 13% to 29% lower risk of GDM., Conclusion: A healthy LCD during pregnancy characterized by high-quality carbohydrates, plant protein, and unsaturated fat was associated with a lower risk of GDM, whereas an unhealthy LCD consisting of low-quality carbohydrates, animal protein, and saturated fat was associated with a higher risk of GDM., (© The Author(s) 2023. Published by Oxford University Press on behalf of the Endocrine Society. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

Gestational diabetes mellitus (GDM) is a significant pregnancy complication linked to perinatal complications and an elevated risk of future metabolic disorders for both mothers and their children. GDM is diagnosed when women without prior diabetes develop chronic hyperglycemia due to β-cell dysfunction during gestation. Global research focuses on the association between GDM and single nucleotide polymorphisms (SNPs) and aims to enhance our understanding of GDM's pathogenesis, predict its risk, and guide patient management. This review offers a summary of various SNPs linked to a heightened risk of GDM and explores their biological mechanisms within the tissues implicated in the development of the condition.

Background: Citing the risks of administering anesthesia to patients with obesity, few fertility centers offer in vitro fertilization as a treatment modality for patients with body mass indexes ≥40 kg/m 2 . Although previous studies have assessed clinical pregnancy and cumulative live birth rates in patients who spontaneously conceive with body mass indexes ≥50 kg/m 2 , there is a paucity of in vitro fertilization, obstetrical, and neonatal outcome data in patients with severe obesity who conceive after in vitro fertilization., Objective: This study aimed to evaluate the impact of increasing body mass index on in vitro fertilization, obstetrical, and neonatal outcomes in patients with obesity undergoing in vitro fertilization., Study Design: This was a retrospective cohort study within an academic fertility center including 2069 fresh in vitro fertilization/intracytoplasmic sperm injection and frozen embryo transfer cycles from January 1, 2012 to April 30, 2020; this cohort was used to determine in vitro fertilization treatment outcomes. A second embedded cohort of 867 fresh in vitro fertilization/intracytoplasmic sperm injection and frozen embryo transfer cycles that resulted in ongoing clinical pregnancies and deliveries within a single tertiary hospital system was used to determine pregnancy, maternal, and neonatal outcomes. All patients with a body mass index ≥40 kg/m 2 underwent consultation with a maternal-fetal medicine specialist before starting treatment and a preoperative evaluation with an anesthesiologist before oocyte retrieval. Cycles were grouped by body mass index at cycle start (30-34.9, 35-39.9, 40-44.9, 45-49.9, and ≥50 kg/m 2 ). Log-binomial regression and Poisson regression with an offset were fitted with body mass index of 30 to 34.9 kg/m 2 as the reference group, adjusting for potential confounders including oocyte age, patient age, embryo quality, transfer type, and coexisting comorbidities. The primary outcome was live birth rate. Secondary outcomes included fertilization rate, blastulation rate, miscarriage rate, incidence of preeclampsia with severe features, gestational diabetes, labor induction, cesarean delivery, preterm delivery, and birthweight., Results: There were 2069 fresh in vitro fertilization/intracytoplasmic sperm injection and frozen embryo transfer cycle starts from January 1, 2012 to April 30, 2020. Of these, 1008 cycles were in the 30 to 34.9 kg/m 2 group, 547 in the 35 to 39.9 kg/m 2 group, 277 in the 40 to 44.9 kg/m 2 group, 161 in the 45 to 49.9 kg/m 2 group, and 76 in the ≥50 kg/m 2 body mass index group. Live birth rate was not significantly different between groups. The body mass index ≥50 kg/m 2 group was significantly more likely to experience preeclampsia with severe features when compared with the 30 to 34.9 kg/m 2 body mass index group (absolute risk reduction, 2.75; 95% confidence interval, 1.13-6.67). Fertilization rate, blastulation rate, miscarriage rate, incidence of gestational diabetes, labor induction, cesarean delivery, preterm delivery, and neonatal birthweights were not significantly different between groups., Conclusion: Among patients with body mass indexes from 30 to 60 kg/m 2 who conceived via in vitro fertilization and received comprehensive prenatal care at a tertiary care hospital, in vitro fertilization, obstetrical, and neonatal outcomes were largely comparable. These data support a collaborative care approach with maternal-fetal medicine specialists and skilled anesthesiologists, reinforcing the notion that in vitro fertilization should not be withheld as a treatment modality from patients with obesity., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Aim: Women with twin pregnancies have an increased risk of gestational diabetes mellitus (GDM). Assisted reproductive technology (ART) and pre-pregnancy smoking were both associated with GDM. However, the relationships between pre-pregnancy smoking and ART and GDM in twin pregnancies were unclear. Herein, this study aims to explore the roles of pre-pregnancy smoking and ART in GDM among women with twin pregnancies., Methods: Data of women with twin pregnancies were extracted from the National Vital Statistics System (NVSS) database in 2016-2020 in this retrospective cohort study. Univariate and multivariate logistic regression analyses were used to explore the associations between pre-pregnancy smoking and ART and GDM in women with twin pregnancies. The evaluation index was odds ratios (ORs) with 95% confidence intervals (CIs). Subgroup analysis of age and BMI was also performed., Results: A total of 19,860 (9.15%) women had GDM in our study. After adjusting for covariates, we found that receiving ART was associated with high odds of GDM [OR = 1.41, 95% CI (1.34-1.48)], while pre-pregnancy smoking combined with ART was associated with higher odds of GDM [OR = 1.66, 95% CI (1.14-2.42)]. In addition, these relationships were also found in women who aged ≥ 35 years old [OR = 1.98, 95% CI (1.14-3.44)] and with BMI ≥ 25 kg/m 2 [OR = 1.69, 95% CI (1.11-2.55)]., Conclusion: Pre-pregnancy smoking may further increase the risk of GDM from ART in women with twin pregnancies. In clinical, women who are ready to receive ART treatment are recommend to quit smoking, which may reduce the risk of GDM and prevent adverse pregnancy outcomes., (© 2023. Springer-Verlag Italia S.r.l., part of Springer Nature.)

Introduction: Studies on the relationship between environmental tobacco smoke (ETS) and gestational diabetes mellitus (GDM) are limited. In this study, we aimed to clarify the association between ETS at different trimesters of pregnancy and the risk of GDM among non-smoking pregnant women., Methods: A total of 16,893 non-smoking mothers from the Southwest Birth Cohort, China, were included in the final analyses. Exposure and outcome measures included self-reported ETS status at different trimesters of pregnancy and GDM diagnosis. Multivariable logistic regression models were constructed to estimate the association between ETS and GDM., Results: The prevalence of ETS exposure was 25.7%. Compared with no ETS, ever ETS had an increased risk of GDM, with an adjusted odds ratio (95% confidence intervals) of 1.21 (1.09, 1.33). The association remained consistent at different trimesters of pregnancy ETS exposure. In the last trimester and with continuous ETS exposure, the risk of GDM increased significantly with the increase in the duration of the exposure. The risk of GDM associated with ever ETS during pregnancy significantly increased in mothers over 30 years old and pre-pregnancy overweight (P for interaction <0.05)., Conclusions: ETS exposure at different trimesters of pregnancy was associated with an increased risk of GDM among non-smoking pregnant women. These findings emphasise the importance of preventing ETS exposure during pregnancy., (© 2023 The Authors. Diabetes/Metabolism Research and Reviews published by John Wiley & Sons Ltd.)

Findings from observational studies have suggested a possible association between dietary inflammatory index (DII) and risk of gestational diabetes mellitus (GDM) and preeclampsia (PE). However, the results of these studies were inconclusive. A systematic review and meta-analysis was carried out to illuminate this association. Systematic literature search was conducted in PubMed, Web of Science, Cochrane Library, EMBASE, Scopus and other databases from inception until January 2023. The qualities of included studies were assessed using the Newcastle-Ottawa scale. Nine studies (seven cohort, two case-control) were included in the meta-analysis, including 11 423 participants from five different countries. The meta-analysis indicated that a 1-unit increase in the DII score, representing pro-inflammatory diet, was associated with 13 % higher risk of GDM (OR = 1·13; 95 % CI 1·02, 1·25, I 2 = 68·4 %, P = 0·004) and 24 % higher risk of PE (OR = 1·24; 95 % CI 1·14, 1·35, I 2 = 52·0 %, P = 0·125). Subgroup analysis found that this association was evident among studies with Chinese populations (OR = 1·16; 95 % CI 1·06, 1·28) and studies with mid pregnancy (OR = 1·20; 95 % CI 1·07, 1·34). The findings indicate that pro-inflammatory diet can increase the risk of GDM and PE. Considering some limitations in this study, more studies are needed to verify this association.

Background: The metabolic changes that ultimately lead to gestational diabetes mellitus (GDM) likely begin before pregnancy. Cannabis use might increase the risk of GDM by increasing appetite or promoting fat deposition and adipogenesis., Objectives: We aimed to assess the association between preconception cannabis use and GDM incidence., Methods: We analysed individual-level data from eight prospective cohort studies. We identified the first, or index, pregnancy (lasting ≥20 weeks of gestation with GDM status) after cannabis use. In analyses of pooled individual-level data, we used logistic regression to estimate study-type-specific odds ratios (OR) and 95% confidence intervals (CI), adjusting for potential confounders using random effect meta-analysis to combine study-type-specific ORs and 95% CIs. Stratified analyses assessed potential effect modification by preconception tobacco use and pre-pregnancy body mass index (BMI)., Results: Of 17,880 participants with an index pregnancy, 1198 (6.7%) were diagnosed with GDM. Before the index pregnancy, 12.5% of participants used cannabis in the past year. Overall, there was no association between preconception cannabis use in the past year and GDM (OR 0.97, 95% CI 0.79, 1.18). Among participants who never used tobacco, however, those who used cannabis more than weekly had a higher risk of developing GDM than those who did not use cannabis in the past year (OR 2.65, 95% CI 1.15, 6.09). This association was not present among former or current tobacco users. Results were similar across all preconception BMI groups., Conclusions: In this pooled analysis of preconception cohort studies, preconception cannabis use was associated with a higher risk of developing GDM among individuals who never used tobacco but not among individuals who formerly or currently used tobacco. Future studies with more detailed measurements are needed to investigate the influence of preconception cannabis use on pregnancy complications., (© 2023 The Authors. Paediatric and Perinatal Epidemiology published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Sleep disorders are highly prevalent during pregnancy and significantly affect women's health and quality of life. Gestational diabetes mellitus (GDM) is one of the most common metabolic complications during pregnancy and constitutes a significant risk factor for both mother and fetus in the short and the long term. While the association between sleep disorders and type 2 diabetes mellitus (T2DM) is indisputable, it is not clear whether there is a link between sleep disorders and GDM. The aim of this article was to investigate the association between sleep disorders and GDM and whether the treatment of sleep disorders may prevent GDM development. Insomnia, obstructive sleep apnea (OSA), restless legs syndrome (RLS), and narcolepsy were the most common sleep disorders identified during pregnancy and were related to poor sleep quality and short or prolonged sleep duration. They were all associated with an increased risk of GDM. The ideal sleep duration for pregnant women was determined at 8-9 h daily. In conclusion, sleep disorders constitute a risk factor for GDM. It is imperative that prospective studies be conducted to evaluate the effect of the early management of sleep disorders on GDM manifestation and control. Healthcare providers should highlight the importance of sufficient sleep to reinforce pregnancy outcomes., (© 2023. The Author(s).)

Objective: To examine the association of a combined healthy lifestyle in early pregnancy with gestational diabetes mellitus (GDM) risk., Design, Setting and Population: A Chinese prospective cohort study with 6980 pregnant women., Methods: Individual modifiable lifestyle factors were assessed in early pregnancy and a combined lifestyle score was derived from the sum of the lifestyle factors, with a higher score indicating a healthier lifestyle. The association of a combined healthy lifestyle with GDM risk was examined., Main Outcome Measures: Gestational diabetes mellitus was diagnosed in middle pregnancy according to the International Association of Diabetes and Pregnancy Study Group criteria or diagnoses in medical records., Results: Overall, 501 (7.2%) pregnant women were diagnosed with GDM. Being physically active (total energy expenditure in upper three quintiles, i.e. ≥100.1 metabolic equivalent of task [MET]-hours/week; odds ratio [OR] 0.76, 95% confidence interval [CI] 0.63-0.92), healthy diet (total intake of vegetables and fruits ≥5 times/day; OR 0.74, 95% CI 0.59-0.94), sufficient sleep (night-time sleep duration ≥7 hours/night; OR 0.66, 95% CI 0.48-0.90) and healthy weight (early-pregnancy BMI <24.0 kg/m 2 ; OR 0.57, 95% CI 0.46-0.71) were associated with lower GDM risk. The GDM risk decreased linearly across the combined lifestyle score (P trend  <0.001): women with 2, 3 and 4 lifestyle factors compared with those with 0-1 factor had 38% (OR 0.62, 95% CI 0.46-0.84), 57% (OR 0.43, 95% CI 0.31-0.58) and 66% (OR 0.34, 95% CI 0.22-0.52) lower risks of GDM, respectively., Conclusion: A healthy lifestyle in early pregnancy was associated with a substantially lower GDM risk., (© 2023 John Wiley & Sons Ltd.)

Aims: To estimate the prevalence of gestational diabetes mellitus (GDM) in a Danish cohort comparing the current Danish versus the WHO2013 diagnostic criteria, and to evaluate adverse pregnancy outcomes among currently untreated women in the gap between the diagnostic thresholds., Methods: Diagnostic testing was performed by a 75 g oral glucose tolerance test (OGTT) at 24-28 weeks' gestation in a cohort of pregnant women. GDM diagnosis was based on the current Danish criterion (2-h glucose ≥ 9.0 mmol/L, GDM DK ) and on the WHO2013 criteria (fasting ≥ 5.1, 1 h ≥ 10.0 or 2 h glucose ≥ 8.5 mmol/L, GDM WHO2013 ). Currently untreated women fulfilling the WHO2013 but not the Danish diagnostic criteria were defined as New-GDM-women (GDM WHO2013 -positive and GDM DK -negative). Adverse outcomes risks were calculated using logistic regression., Results: OGTT was completed by 465 women at a median of 25.7 weeks' gestation. GDM DK prevalence was 2.2% (N = 10) and GDM WHO2013 21.5% (N = 100). New-GDM was present in 19.4% (N = 90), of whom 90.0% had elevated fasting glucose. Pregnancies complicated by New-GDM had higher frequencies of pregnancy-induced hypertension (13.3% vs 4.1%, p = 0.002), large-for-gestational-age infants (22.2% vs 9.9%, p = 0.004), neonatal hypoglycaemia (8.9% vs 1.9%, p = 0.004) and neonatal intensive care unit admission (16.7% vs 5.8%, p = 0.002) compared to pregnancies without GDM., Conclusions: GDM prevalence increased tenfold when applying WHO2013 criteria in a Danish population, mainly driven by higher fasting glucose levels. Untreated GDM in the gap between the current Danish and the WHO2013 diagnostic criteria resulted in higher risks of adverse pregnancy outcomes., (© 2023. The Author(s).)

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., (© 2023. The Author(s).)

Background: In the last decades, plant-based diets have gained popularity. Pregnancy is not a contraindication to follow a meat-free diet. This study aimed to compare maternal and neonatal outcomes between women who followed a plant-based diet with those on an omnivore diet. Our second purpose was to investigate the association between physical activity level in combination with diet type and the occurrence of GDM and gestational hypertension., Methods: A questionnaire was distributed electronically via social media. The survey was conducted on a population of Polish women., Results: The final research group included 1015 women. The results showed that a maternal plant-based diet 6 months before pregnancy and during pregnancy does not change the incidence of GDM, anemia, and gestational hypertension. Moreover, no association was found between a diet type before conception and a delivery method or newborn birth weight. Among women who followed an omnivore diet, the risk of GDM was lower in a group with adequate physical activity during 6 months before conception ( p = 0.0166). However, the combination of a plant-based diet with adequate activity during the preconception period did not influence GDM incidence., Conclusions: Our study indicates that a plant-based diet during the preconception period is not worse than an omnivore diet.

This study examined the association of gestational diabetes mellitus (GDM), prenatal, and postnatal maternal depressive symptoms with externalizing, internalizing, and autism spectrum problems on the Preschool Child Behavior Checklist in 2379 children aged 4.12 ± 0.60 (48% female; 47% White, 32% Black, 15% Mixed Race, 4% Asian, <2% American Indian/Alaskan Native, <2% Native Hawaiian; 23% Hispanic). Data were collected from the NIH Environmental influences on Child Health Outcomes (ECHO) Program from 2009-2021. GDM, prenatal, and postnatal maternal depressive symptoms were each associated with increased child externalizing and internalizing problems. GDM was associated with increased autism behaviors only among children exposed to perinatal maternal depressive symptoms above the median level. Stratified analyses revealed a relation between GDM and child outcomes in males only., (© 2023 The Authors. Child Development © 2023 Society for Research in Child Development.)

Purpose: To investigate whether maternal cigarette smoking during pregnancy is a risk factor for developing GDM., Methods: MEDLINE, Scopus, CENTRAL and Google Scholar databases were searched from inception to December 2022 to identify eligible original articles. A systematic review and meta-analysis (weighted data, random-effects model) were performed. The primary outcome was the development of GDM in pregnant women. The results were expressed as odds ratios (OR) with 95% confidence interval (CI) (inverse variance method). Subgroup analysis was planned according to the maternal smoking status and GDM diagnostic criteria. Statistical heterogeneity was checked with the Chi-squared (Chi 2 ) test and the I 2 index was used to quantify it. The studies were evaluated for publication bias., Results: Thirty-five studies, including 23,849,696 pregnant women, met the inclusion criteria. The pooled OR of smoking during pregnancy compared with non-smoking (never smokers and former smokers) was 1.06 (95% CI 0.95-1.19), p = 0.30; I 2  = 90%; Chi 2  = 344; df=34; p < 0.001. Subgroup analysis was performed according to the two-step Carpenter-Coustan diagnostic criteria, due to the high heterogeneity among the other applied methods. The pooled OR for the Carpenter-Coustan subgroup was 1.19 (95% CI 0.95-1.49), p = 0.12; I 2  = 63%; Chi 2  = 27; df=10; p < 0.002. Further subgroup analysis according to maternal smoking status was not performed due to missing data., Conclusion: There is no evidence to support an association between maternal cigarette smoking during pregnancy and the risk for GDM. Universally accepted diagnostic criteria for GDM must be adopted to reduce heterogeneity and clarify the association between smoking and GDM., (© 2023. The Author(s).)

Background: Lower urinary tract symptoms (LUTS) are prevalent and distressing concerns for women worldwide. The prevalence of LUTS reaches the first peak during pregnancy and postnatal period. However, less attention has been paid to LUTS around childbirth and little progress has been made in the prevention of LUTS. Understanding the epidemiological characteristics of LUTS around childbirth would inform decision making for health care providers and perinatal women in the prevention of LUTS. The study aims to investigate the epidemiological trends and associated risk factors related to LUTS around childbirth., Methods: Pregnant women were consecutively enrolled during pregnancy in the obstetrical wards of a tertiary hospital and followed up at 6-8 weeks and one year postpartum through a prospective design. Urinary incontinence was assessed with the International Consultation on Incontinence Modular Questionnaire-Urinary Incontinence Short Form. Other symptoms were measured with questions based on definitions of the International Incontinence Society. Multiple logistic regression was used to examine the risk factors for LUTS including urinary incontinence, increased daytime frequency, nocturia and urgency. The report followed the STROBE statement., Results: A total of 1243 pregnant women participated in this study. The prevalence of at least one type of storage symptoms was 94%, 55% and 35% in late pregnancy, at 6-8 weeks and one year postpartum, respectively. The prevalence of urinary incontinence remained at 21% within one year postpartum. The majority of the participants suffered from mild to moderate urinary incontinence. Age, job, BMI before pregnancy, gestational diabetes mellitus, urinary tract infection history, previous history of LUTS, age at first birth and birth mode were predictors of LUTS one year postpartum., Conclusion: LUTS were highly prevalent during pregnancy and postnatal period. The prevalence of urinary incontinence was more stable than that of other LUTS within one year postpartum. Women aged more than 35 years, engaging in manual work, with gestational diabetes mellitus, with a history of urinary tract infection and LUTS, with advanced age at first birth and vaginal delivery were more likely to suffer from LUTS postpartum. The findings provided a novel and deep insight into the epidemiological trends and related risk factors of LUTS around childbirth., (© 2023. The Author(s).)

Gestational diabetes mellitus (GDM) is one of the most common complications in pregnancy, impairing both maternal and fetal health in short and long term. As early interventions are considered desirable to prevent GDM, this study aims to develop a simple-to-use nomogram based on multiple common risk factors from electronic medical health records (EMHRs). A total of 924 pregnant women whose EMHRs were available at Peking University International Hospital from January 2022 to October 2022 were included. Clinical demographics and routine laboratory analysis parameters at 8-12 weeks of gestation were collected. A novel nomogram was established based on the outcomes of multivariate logistic regression. The nomogram demonstrated powerful discrimination (the area under the receiver operating characteristic curve = 0.7542), acceptable agreement (Hosmer-Lemeshow test, P = 0.3214) and favorable clinical utility. The C-statistics of 10-Fold cross validation, Leave one out cross validation and Bootstrap were 0.7411, 0.7357 and 0.7318, respectively, indicating the stability of the nomogram. A novel nomogram based on easily-accessible parameters was developed to predict GDM in early pregnancy, which may provide a paradigm for repurposing clinical data and benefit the clinical management of GDM. There is a need for prospective multi-center studies to validate the nomogram before employing the nomogram in real-world clinical practice., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Zhang, Dai, Zhang, Sun, Sun, Wang, Li and Zhang.)

Because the associations between different dietary protein sources and the risks of gestational diabetes mellitus (GDM) are inconsistent, and those of eating habits with GDM have rarely been explored, we aimed to investigate the independent and joint association of major dietary protein sources and eating habits with GDM in a case-control study including 353 GDM cases and 718 controls in China. Dietary protein intake and eating habits prior to GDM diagnosis were collected through questionnaires at 24~28 gestational weeks. Multivariate logistic regression was used to evaluate the independent and joint associations of dietary protein intake and eating habits with GDM. The Anderson model was used assess if there is an additive interaction between them. Animal protein, red meat protein and dairy products protein intake were significantly and positively associated with GDM. Among the eating habits, preferences for hot food, firm food and soft food were significantly associated with higher odds of GDM. Individuals with unhealthy eating habits and high dietary protein simultaneously had the highest odds of GDM, and the ORs were 2.06 (1.25, 3.41) for the total protein, 2.97 (1.78, 4.96) for animal meat, 3.98 (2.41, 6.57) for the red meat protein and 2.82 (1.81, 4.41) for the dairy protein; the p values for the trend were all significant ( p < 0.001). However, no additive interaction was detected. In conclusion, our study found that dietary protein intake and eating habits prior to GDM diagnosis were both independently and jointly associated with the odds of GDM.

Background: Gestational diabetes mellitus (GDM) refers to diabetes diagnosed in the second or third trimester of pregnancy. Assessing the weight gain in each pregnant women's appointment is a common task of primary care during their visit. However, the implications of this increase in weight for the development of GDM are unknown., Objective: Evaluate if the greater than expected weight gain (HEWG) in pregnancy is a risk factor for the development of GDM., Methods: Analytical, observational, longitudinal, retrolective study, which included pregnant women between 15 and 40 years of age with complete follow-up of the preg-nancy with > 2 prenatal check-ups, somatometry and complete medical history was made. During follow-up, the GPME was determined. Odds ratio (OR) and 95% confi-dence intervals (95% CI) were calculated. Variables with significance were entered into a multiple logistic regression model (MLR), where the dependent variable was DMG. The sample size calculation was for convenience., Results: 1000 pregnant women with a median age of 28 years were included. In the MLR The pre-gestational body mass index (BMI) with overweight had an RM of 1.3 (95% CI 0.86-1.98), BMI with obesity an OR of 2.57 (95% CI 1.6-4.14), the HEWG during pregnancy had an OR 1.14 95% CI (0.71-1.81), Age> 30 years shows an RM of 2.24 (95% CI 1.55-3.25)., Conclusions: HEWG during pregnancy is not an independent risk factor for the devel-opment of GDM. The main ones are age> 30 years and pre-gestational obesity., (Licencia CC 4.0 (BY-NC-ND) © 2023 Revista Médica del Instituto Mexicano del Seguro Social.)

Several small studies have evaluated the association between epicardial adipose tissue (EAT) and pregnancy-related cardiovascular risk factors such as gestational diabetes mellitus (GDM) or hypertensive disorders. The objective of this study was to quantitatively compare EAT thickening between patients with GDM or pregnancy-related hypertensive disorders and healthy controls. This systematic review and meta-analysis were performed according to PRISMA guidelines. A literature search was performed to detect studies that have quantified EAT in women with GDM and pregnancy-related hypertensive disorders compared to a control group. The primary outcome was EAT thickening estimated by ultrasound expressed in millimeters. Random or fixed effects models were used. Nine observational studies including 3146 patients were identified and considered eligible for this systematic review. The quantitative analysis showed that patients with GDM have a higher EAT thickness (mean difference: 1.1 mm [95% confidence interval: 1.0-1.2]; I 2  = 24%) compared to the control group. Moreover, patients with pregnancy-related hypertensive disorders showed higher EAT thickness (mean difference: 1.0 mm [95% confidence interval: 0.6-1.4]; I 2  = 83%) compared to the control group. In conclusion, this study demonstrated that EAT thickening is increased in patients with GDM and pregnancy-related hypertensive disorders compared with healthy controls. Whether or not this association is causal should be evaluated in prospective studies., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.)

Purpose: Low early-life absolute and relative socioeconomic status (SES) may contribute to socioeconomic disparities in pregnancy complications (i.e., gestational diabetes mellitus [GDM], preeclampsia/eclampsia [PE], hypertensive disorders of pregnancy [HDP; preeclampsia/eclampsia, gestational hypertension, chronic hypertension]), but their independent associations with pregnancy complications have not been studied. This study investigated associations of early-life poverty and relative SES with risks of GDM, PE, and HDP., Methods: National Longitudinal Study of Adolescent to Adult Health data were used (GDM n = 802; PE n = 813; HDP n = 801). Objective poverty was defined as wave I low-income or receipt of federal nutrition assistance benefits. Relative SES was self-reported at wave V (ages 33-39) by asking whether the participant's family was financially worse off than average when growing up. Logistic regressions assessed relationships between poverty, relative SES, and self-reported lifetime diagnoses of GDM, PE, or HDP., Results: Lifetime prevalences of GDM, PE, and HDP were 9.23%, 12.00%, and 21.93%, respectively. Low relative SES (odds ratio: 2.04 [1.07, 3.89]) and poverty (odds ratio: 1.81 [0.97, 3.38]) were independently associated with GDM but not with PE or HDP., Conclusions: Early-life poverty and relative SES are associated with GDM; understanding the mechanisms underlying these associations may help identify novel intervention targets to reduce socioeconomic disparities in GDM., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Published by Elsevier Inc.)

Background: Limited data is available on the association between adherence to the Mediterranean diet during early pregnancy and risk of gestational diabetes (GDM) in countries located in the Middle East, one of the regions with the highest prevalence of GDM., Methods: A total of 647 pregnant mothers were included in the present prospective birth cohort study in Iran. Dietary intake was assessed by a 90-item food frequency questionnaire during the first trimester of pregnancy. Cases of GDM were ascertained by a two-step approach with a 50-g screen followed by a 100-g oral glucose tolerance for those who tested positive. Cox proportional hazard model was used to calculate the hazard ratio and 95%CI of GDM across tertiles of the Mediterranean diet score, while controlling for a wide range of potential confounders., Results: A total of 647 pregnant mothers were included, of whom 77 mothers were diagnosed with GDM during their pregnancy. The average age of the mothers was 28.8 ± 5.1 years. In the multivariable analysis, being in the third tertile of the score of adherence to the Mediterranean diet was associated with a 41% lower risk of developing GDM as compared to those in the first tertile (adjusted hazard ratio: 0.59, 95%CI: 0.35, 0.99)., Conclusions: Based on our findings, greater adherence to the Mediterranean diet during early pregnancy may be associated with a lower risk of developing GDM in Iranian women. Larger cohort studies are needed to confirm the findings., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Objective: Ferritin levels are well known to be associated with gestational diabetes mellitus (GDM). However, the association of the combination of ferritin and triglyceride (TG) levels in early mid-pregnancy with GDM has not been studied in depth. We investigated the independent and combined relationships of plasma ferritin and TG concentrations with the risk of GDM as well as the mediation effect of TG on ferritin., Methods: We analysed 2071 pregnant women from the Tongji Maternal and Child Health Cohort who had their plasma ferritin and TG concentrations measured at 11-20 weeks of gestation. Associations between ferritin and TG concentrations and GDM risk were estimated using multivariable logistic regression models. Youden's index was calculated to find the cut-off values of ferritin and TG by ROC curve analysis. The mediation effect of the TG concentration on the ferritin level with GDM risk was explored by a mediation analysis., Results: A total of 264 (12.3%) participants developed GDM. The median and IQR of ferritin was 53.9 (30.5-92.7) ng/mL. After adjusting for potential confounders, the relative risks (RRs) and 95% confidence intervals of GDM were 2.19 (1.42, 3.39) for ferritin and 2.02 (1.37, 2.97) for TG. The adjusted RR for combination was 2.40 (1.62, 3.55). Moreover, we found that the TG concentration mediated 15.0% of the total effect of the ferritin concentration on the risk of GDM., Conclusions: Women with a combination of both high plasma ferritin (˃55.7 ng/mL) and high TG (˃1.9 mmoL/L) were at the highest risk of GDM. Additionally, we have revealed for the first time that an elevated maternal TG concentration in early pregnancy mediates the relationship between ferritin concentration and GDM risk., Trial Registration: This trial is registered at https://ClinicalTrials.gov as NCT03099837., (© 2023 John Wiley & Sons Ltd.)

Objectives: To explore the association between maternal gestational diabetes mellitus (GDM) exposure and the development of autism spectrum disorder (ASD) in offspring., Methods: A case-control study was conducted, recruiting 221 children with ASD and 400 healthy children as controls. Questionnaires and interviews were used to collect information on general characteristics of the children, socio-economic characteristics of the family, maternal pregnancy history, and maternal disease exposure during pregnancy. Multivariate logistic regression analysis was used to investigate the association between maternal GDM exposure and the development of ASD in offspring. The potential interaction between offspring gender and maternal GDM exposure on the development of ASD in offspring was explored., Results: The proportion of maternal GDM was significantly higher in the ASD group compared to the control group (16.3% vs 9.4%, P =0.014). After adjusting for variables such as gender, gestational age, mode of delivery, parity, and maternal education level, maternal GDM exposure was a risk factor for ASD in offspring ( OR =2.18, 95% CI : 1.04-4.54, P =0.038). On the basis of adjusting the above variables, after further adjusting the variables including prenatal intake of multivitamins, folic acid intake in the first three months of pregnancy, and assisted reproduction the result trend did not change, but no statistical significance was observed ( OR =1.94, 95% CI : 0.74-5.11, P =0.183). There was an interaction between maternal GDM exposure and offspring gender on the development of ASD in offspring ( P <0.001). Gender stratified analysis showed that only in male offspring of mothers with GDM, the risk of ASD was significantly increased ( OR =3.67, 95% CI : 1.16-11.65, P =0.027)., Conclusions: Maternal GDM exposure might increase the risk of ASD in offspring. There is an interaction between GDM exposure and offspring gender in the development of ASD in offspring.

Purpose: This study aimed to demonstrate the relationship between poor sleep quality in early pregnancy and the risk of developing gestational diabetes mellitus (GDM)., Methods: We conducted a nested case-control study and performed a 1:3 propensity score (PS) matching to match pregnant women with GDM to women without GDM. After PS matching, logistic regressions were carried out to describe the association between sleep quality (assessed by Pittsburgh Sleep Quality Index [PSQI]) and the risk of GDM. We also performed a second analysis to explore the association in groups divided according to maternal age., Results: A total of 535 women were enrolled in this study. Of 456 women with complete data, the incidence of GDM was 12.1% (55/456). After PS matching, we found poor sleep quality (PSQI > 5) in early pregnancy was a statistically significant risk factor for GDM (OR 2.03; 95% CI 1.02-4.01; p-value = 0.043). The association of poor sleep quality (PSQI > 5) with GDM was significant among women less than 35 years old (OR 2.72; 95% CI 1.22-6.43; p-value = 0.018) but not among women more than or equal to 35 years old after adjusting for all covariates., Conclusion: Poor sleep quality in early pregnancy is associated with higher risk of developing GDM, especially for women under 35 years old. Screening expectant mothers with sleep problems in the first trimester is suggested., (© 2022. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

Objective: Racial/ethnic-specific estimates of the influence of gestational diabetes mellitus (GDM) on type 2 diabetes remain underexplored in large population-based cohorts. We estimated racial/ethnic differences in the influence of GDM on diabetes risk and glycemic control in a multiethnic, population-based cohort of postpartum women., Research Design and Methods: Hospital discharge and vital registry data for New York City (NYC) births between 2009 and 2011 were linked with NYC A1C Registry data between 2009 and 2017. Women with baseline diabetes (n = 2,810) were excluded for a final birth cohort of 336,276. GDM on time to diabetes onset (two A1C tests of ≥6.5% from 12 weeks postpartum onward) or glucose control (first test of A1C <7.0% following diagnosis) was assessed using Cox regression with a time-varying exposure. Models were adjusted for sociodemographic and clinical factors and stratified by race/ethnicity., Results: The cumulative incidence for diabetes was 11.8% and 0.6% among women with and without GDM, respectively. The adjusted hazard ratio (aHR) of GDM status on diabetes risk was 11.5 (95% CI 10.8, 12.3) overall, with slight differences by race/ethnicity. GDM was associated with a lower likelihood of glycemic control (aHR 0.85; 95% CI 0.79, 0.92), with the largest negative influence among Black (aHR 0.77; 95% CI 0.68, 0.88) and Hispanic (aHR 0.84; 95% CI 0.74, 0.95) women. Adjustment for screening bias and loss to follow-up modestly attenuated racial/ethnic differences in diabetes risk but had little influence on glycemic control., Conclusions: Understanding racial/ethnic differences in the influence of GDM on diabetes progression is critical to disrupt life course cardiometabolic disparities., (© 2023 by the American Diabetes Association.)

Gestational diabetes mellitus (GDM) and polycystic ovarian syndrome (PCOS) represent two of the highest risk factors for development of type 2 diabetes mellitus in young women. As these increasingly common conditions generally affect younger women, early detection of dysglycemia is key if preventative measures are to be effective. While international guidance recommends screening for type 2 diabetes, current screening strategies suffer from significant challenges.First, guidance lacks consensus in defining which tests to use and frequency of monitoring, thereby sending mixed messages to healthcare professionals.Second, conformity to guidance is poor, with only a minority of women having tests at the recommended frequency (where specified). Approaches to improve conformity have focused on healthcare related factors (largely technology driven reminder systems), but patient factors such as convenience and clear messaging around risk have been neglected.Third, and most critically, current screening strategies are too generic and rely on tests that become abnormal far too late in the trajectory towards dysglycemia to offer opportunities for effective preventative measures. Risk factors show wide interindividual variation, and insulin sensitivity and β cell function are often abnormal during pre-diabetes stage, well before frank diabetes.New, consistent, targeted screening strategies are required that incorporate early, prevention focused testing and personalised risk stratification., Competing Interests: Competing interests: We have read and understood the BMJ policy on declaration of interests and declare the following interests: none., (Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions.)

During pregnancy, the complex hormonal changes lead to a progressive decrease of insulin sensitivity that can drive the onset of gestational diabetes (GDM) or worsen an already-known condition of insulin resistance like type 2 diabetes, polycystic ovarian syndrome (PCOS), and obesity, with complications for the mother and the fetus. Metformin during pregnancy is proving to be safe in a growing number of studies, although it freely crosses the placenta, leading to a fetal level similar to maternal concentration. The aim of this literature review is to analyze the main available evidence on the use of metformin during, throughout, and beyond pregnancy, including fertilization, lactation, and medium-term effects on offspring. Analyzed studies support the safety and efficacy of metformin during pregnancy. In pregnant women with GDM and type 2 diabetes, metformin improves obstetric and perinatal outcomes. There is no evidence that it prevents GDM in women with pregestational insulin resistance or improves lipid profile and risk of GDM in pregnant women with PCOS or obesity. Metformin could have a role in reducing the risk of preeclampsia in pregnant women with severe obesity, the risk of late miscarriages and preterm delivery in women with PCOS, and the risk of ovarian hyperstimulation syndrome, increasing the clinical pregnancy rate in women with PCOS undergoing in vitro fertilization (IVF/FIVET). Offspring of mothers with GDM exposed to metformin have no significant differences in body composition compared with insulin treatment, while it appears to be protective for metabolic and cardiovascular risk., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Tosti, Barberio, Tartaglione, Rizzi, Di Leo, Viti, Sirico, De Carolis, Pontecorvi, Lanzone and Pitocco.)

Objective: This study aimed to systematically investigate a wide range of obstetrical and neonatal outcomes with respect to 2 types of prepregnancy bariatric surgery, Roux-en-Y gastric bypass and sleeve gastrectomy, through: (1) providing a meta-analysis of the effect of bariatric surgery (Roux-en-Y gastric bypass vs no surgery and, separately, sleeve gastrectomy vs no surgery) on adverse obstetrical and neonatal outcomes, and (2) comparing the relative benefit of Roux-en-Y gastric bypass vs sleeve gastrectomy using both conventional and network meta-analysis., Data Sources: We searched PubMed, Scopus, and Embase systematically from inception up to April 30, 2021., Eligibility Criteria: Studies reporting on pregnancies' obstetrical and neonatal outcomes with respect to 2 types of prepregnancy bariatric surgery-Roux-en-Y gastric bypass and sleeve gastrectomy-were included. The included studies either indirectly compared between the procedure and controls or directly compared between the 2 procedures., Methods: We performed a systematic review followed by pairwise and network meta-analysis in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. In the pairwise analysis, multiple obstetrical and neonatal outcomes were tabulated and compared between 3 groups: (1) Roux-en-Y gastric bypass vs controls, (2) sleeve gastrectomy vs controls, and (3) Roux-en-Y gastric bypass vs sleeve gastrectomy. Primary outcomes included small for gestational age, large for gestational age, gestational hypertension/preeclampsia, and gestational diabetes mellitus. Secondary outcomes included preterm birth, anemia, cesarean delivery, and biochemical profile. The random-effects model was used to pool the mean differences or odds ratios and the corresponding 95% confidence intervals. Heterogeneity was assessed using the I 2 value. The Newcastle-Ottawa scale was used to assess individual study quality. To resolve inconclusive findings and to rank current treatments, network meta-analysis was conducted for the primary outcomes. Quality of evidence was assessed with the Confidence in Network Meta-Analysis approach and the GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) tool within the summary of findings table., Results: A total of 20 studies were included, reporting on 40,108 pregnancies, of which 5194 underwent Roux-en-Y gastric bypass, 405 underwent sleeve gastrectomy, and 34,509 were controls. Compared with controls, Roux-en-Y gastric bypass increased the risk of small for gestational age infants (odds ratio, 2.56; 95% confidence interval, 1.77-3.70; I 2 , 29.1%; P<.00001), decreased the risk of large for gestational age infants (odds ratio, 0.25; 95% confidence interval, 0.18-0.35; I 2 , 0%; P<.00001), decreased gestational hypertension/preeclampsia (odds ratio, 0.54; 95% confidence interval, 0.30-0.97; I 2 , 26.8%; P=.04), decreased gestational diabetes mellitus (odds ratio, 0.43; 95% confidence interval, 0.23-0.81; I 2 , 32%; P=.008), increased maternal anemia (odds ratio, 2.70; 95% confidence interval, 1.53-4.79; I 2 , 40.5%; P<.001), increased neonatal intensive care unit admission (odds ratio, 1.36; 95% confidence interval, 1.04-1.77; I 2 , 0%; P=.02), and decreased mean gestational weight gain (mean difference, -3.37 kg; 95% confidence interval, -5.62 to -1.11; I 2 , 65.3%; P=.003). Only 3 studies compared sleeve gastrectomy with controls, and found no significant differences in primary outcomes or in mean gestational weight gain. The network meta-analysis showed that Roux-en-Y gastric bypass (malabsorptive procedure) resulted in greater decrease of large for gestational age, gestational hypertension/preeclampsia, and gestational diabetes mellitus, and a greater increase in small for gestational age infants when compared with sleeve gastrectomy (restrictive procedure). However, the small number of studies, small number of sleeve gastrectomy patients, limited outcomes, and data heterogeneity resulted in low-to-moderate network GRADE of evidence., Conclusion: This network meta-analysis showed that Roux-en-Y gastric bypass, compared with sleeve gastrectomy, resulted in greater decrease in large for gestational age, gestational hypertension/preeclampsia, and gestational diabetes mellitus, but in greater increase in small for gestational age infants. Certainty of evidence in the network meta-analysis was of a low-to-moderate GRADE. Evidence is still lacking for periconception biochemical profile, congenital malformations, and reproductive health outcomes for both interventions; thus, future well-designed prospective studies are needed to further characterize these outcomes., (Copyright © 2023 Elsevier Inc. All rights reserved.)

Aims: The aim of this study was to investigate the association between previous induced abortion or miscarriage and the development of gestational diabetes mellitus (GDM) using high-quality register data., Methods: In this retrospective nationwide register-based cohort study, data from the national medical birth register (MBR) were used to evaluate the association between a history of miscarriage or induced abortion and GDM. We included all first pregnancies ending in delivery in which the oral glucose tolerance test was performed between 2004 and 2018. A logistic regression model was used to assess the development of GDM in the first pregnancy ending in delivery. Adjusted odds ratios (aOR) with 95% confidence intervals (Cis) were compared between groups., Results: In total, 15,873 nulliparous women with a history of induced abortions, 22,337 with a history of miscarriages and 3594 with a history of both were found. The reference group consisted of 138,869 women without a history of induced abortions or miscarriages. Women with a history of induced abortions (24.7%, aOR 1.15 [CI 1.11-1.20]), a history of miscarriages (24.8%, aOR 1.14 [CI 1.10-1.18]) and a history of both (27.7% aOR 1.18 [CI 1.09-1.28]) had higher odds for the development of GDM when compared to the reference group (20.8%). The odds for GDM increased along with the increasing number of previous induced abortions and miscarriages., Conclusion: Women with a history of induced abortions or miscarriages had higher odds for GDM in their first pregnancy leading to birth. Knowledge of this association will be helpful in the prevention and screening of GDM., (© 2023. The Author(s).)

To review the current evidence on the risk of gestational diabetes mellitus (GDM) in women with endometriosis, taking into account relevant confounders such as the higher frequency of Assisted Reproductive Technologies (ART) conceptions. Database searches on PubMed, Medline, Embase and Scopus through June 2022, using combinations of relevant keywords. A total of 18 studies, involving N = 4,600,885 women, were included. The overall risk of GDM in endometriosis patients was significantly higher than in controls (OR, 1.23; 95% CI 1.07-1.51). This significant association persisted in natural pregnancies (OR, 1.08; 95% CI 1.04-1.12) but not in pregnancies conceived through ART (OR, 0.93;95% CI 0.70-1.24). Based on the limited number of studies that examined this association in relation to endometriosis phenotype, an increased risk was found in more severe stages (OR, 3.20; 95% CI 1.20-8.54) but independently from localization of the lesions. Endometriosis increases the risk of GDM, with a possible progressive effect in more advanced stages of the disease. Although the effect magnitude may be limited in some subgroups, this finding has a clinically relevant impact due to both the strong biological plausibility and to the relatively high incidence of both endometriosis and GDM., (© 2023. The Author(s).)

Purpose: Overweight and obesity are major risk factors for perinatal morbidity and mortality, and the need for bariatric surgery (BS) among fertile-aged women is increasing. This study evaluates the outcome of post-BS pregnancies and deliveries., Methods: All 20-45-year-old patients delivering between 2004 and 2016 in Finland were included. Patients with previous BS were identified from the hospital discharge register, and the medical birth register was queried for data on pregnancies, deliveries, and perinatal outcomes. The data were matched using personal identification codes, and the outcomes of women with previous BS were compared with those of other pregnancies., Results: Women with previous BS (n = 314) constituted the bariatric group. When compared with the non-bariatric group (n = 750,019), they were older (p < 0.001), heavier (p < 0.001) and had more previous pregnancies (p < 0.001). The overall incidence of pregnancy-induced hypertension (p = 0.002), gestational diabetes (GDM) (p = 0.018), pre-term contractions (p = 0.023), pre-term delivery (p = 0.003), labour induction (p < 0.001), planned (p = 0.001) and unplanned (p = 0.036) caesarean sections and low birthweight infants (p < 0.001) were significantly higher in the bariatric group. When compared with body mass index-specific categories, the main outcomes were increased incidence of GDM and small for gestational age (SGA) newborns in the bariatric group., Conclusion: BS can be considered a safe and advisable treatment for obesity among fertile-aged women. The pregnancy outcome is associated with post-BS weight, but the risk for GDM and small for gestational-age newborns is increased., (© 2023. The Author(s).)

Aims: To investigate whether recurrent gestational diabetes mellitus (GDM) is associated with an increased risk of preterm birth., Methods: We conducted a prospective population-based cohort study covering all live singleton births born to nulliparous and multiparous mothers aged 20 years and older in Qingdao, from 2018 to 2020 (n = 105,528). Preterm birth (<37 gestational weeks) was classified into moderate preterm birth (32-36 weeks of gestation) and very preterm birth (<32 weeks). Logistic regression analysis was performed to estimate the risk and severity of prematurity in relation to parity among mothers with previous GDM, current GDM, and recurrent GDM (previous and current GDM), using mothers without GDM as the reference group. Z-test and ratio of odds ratios (ROR) were used to determine subgroup differences., Results: Maternal GDM increased the risk of preterm birth in both nullipara (OR adj  = 1.28, 95 %CI: 1.14-1.45) and multipara (OR adj  = 1.26, 95 %CI: 1.14-1.40). However, the risk of premature delivery in multiparous mothers with recurrent GDM and those with current GDM did not differ significantly, with a ROR of 0.89 (95 %CI: 0.71-1.12). The risk of recurrent GDM on preterm birth was most pronounced among multiparous mothers with pre-pregnancy BMI above 30 kg/m 2 (OR adj  = 2.18, 95 %CI: 1.25-3.82) as compared with those with current GDM alone (ROR = 2.20, 95 %CI: 1.07-4.52). The risk of GDM for moderate preterm birth was similar to that of overall preterm birth. In contrast, GDM was not associated with very preterm birth irrespective of parity (all P values > 0.05)., Conclusions: Maternal GDM increased the risk of preterm birth in nullipara and multipara, whereas recurrent GDM was not associated with a further increase in the risk of prematurity in multiparous mothers. Maternal GDM did not contribute to very preterm birth irrespective of parity. Our findings can be useful for facilitating more targeted preventive strategies for adverse pregnancy outcomes., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Author(s). Published by Elsevier B.V. All rights reserved.)