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Ma N, Bai L, Niu Z, Lu Q. Mid-upper arm circumference predicts the risk of gestational diabetes in early pregnancy. BMC Pregnancy Childbirth 2024; 24:462. [PMID: 38965475 PMCID: PMC11225188 DOI: 10.1186/s12884-024-06664-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 06/28/2024] [Indexed: 07/06/2024] Open
Abstract
BACKGROUND The present work aimed to assess the value of mid-upper arm circumference (MUAC) at 8 to 12 weeks in predicting the occurrence of gestational diabetes mellitus (GDM). METHODS According to eligibility criteria, 328 women with singleton pregnancies who underwent routine antenatal check-ups at Qinhuangdao Maternal and Child Health Hospital from September 2017 to September 2020 were included. The patients were divided into the gestational diabetes mellitus (GDM) and non-GDM groups according to oral glucose tolerance test (OGTT) data from gestation weeks 24 to 28. Clinical data were compared between the two groups. Logistic regression analysis was performed to determine factors independently predicting GDM. Receiver operating characteristic (ROC) curve analysis was employed to analyze the value of MUAC in predicting the occurrence of GDM. The optimal cut-off points were calculated. RESULTS In logistic regression analysis, pre-pregnancy weight, waist circumference, MUAC, UA, TG, and HDL-C independently predicted the occurrence of GDM (P < 0.05). MUAC retained statistical significance upon adjustment for various confounders (OR = 8.851, 95%CI: 3.907-20.048; P < 0.001). ROC curve analysis revealed good diagnostic potential for MUAC in GDM (AUC = 0.742, 95%CI: 0.684-0.800, P < 0.001), with a cut-off of 28.5 cm, sensitivity and specificity were 61% and 77%, respectively. CONCLUSION Pregnant women with MUAC >28.5 cm are prone to develop GDM during pregnancy, indicating that MUAC as an important predictive factor of GDM in early pregnancy.
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Affiliation(s)
- Ning Ma
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, Qinhuangdao, 066000, China
| | - Liwei Bai
- Qinhuangdao Hospital for Maternal and Child Health, Hebei, Qinhuangdao, 066000, China
| | - Ziru Niu
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, Qinhuangdao, 066000, China
| | - Qiang Lu
- Department of Endocrinology, First Hospital of Qinhuangdao, Hebei, Qinhuangdao, 066000, China.
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Kapera O, Chen B, Almandoz JP, Byrd-Williams C, Messiah SE. Prevalence of Weight Stigma in Medical Settings Among Reproductive-Aged Women in the All of Us Study. Obstet Gynecol 2024; 144:89-97. [PMID: 38781589 PMCID: PMC11216880 DOI: 10.1097/aog.0000000000005614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Accepted: 04/18/2024] [Indexed: 05/25/2024]
Abstract
OBJECTIVE To analyze health care treatment experiences among a diverse cohort of reproductive-aged women from the All of Us study, focusing on variations due to body mass index (BMI). METHODS We conducted a cross-sectional study that used data from the All of Us Research Program. We analyzed weight bias among reproductive-aged women aged 18-44 years. Weight bias was assessed using a proxy 7-item survey that evaluated discrimination in health care experiences, including courtesy, respect, service quality, being treated as competent, displaying fear, being treated as inferior, and being listened to during health care visits. RESULTS Overall, 16,791 reproductive-aged women (mean [SD] age, 35.8 [6.3]) were included in the study. Of 11,592 patients with data available on BMI, 582 were Asian (5.0%), 1,984 (17.1%) were Hispanic or Latinx, 1,007 (8.7%) were non-Hispanic Black, and 7,370 (63.6%) were non-Hispanic White. Approximately 24.2% of participants (n=2,878) had obesity, and 11.1% of participants (n=1,292) had severe obesity. In general, participants in higher BMI categories had negative experiences in the health care setting. Women with severe obesity were 1.5 to 2 times more likely to report poor experiences with their health care clinicians compared with women with healthy weight. CONCLUSION Results show significant disparities in the health care experiences among reproductive-aged women. As participants' BMI category increased, so did their negative experiences in the health care setting. These findings underscore the urgent need for targeted interventions to address these inequities. Health care systems must prioritize strategies to ensure that all individuals, regardless of weight or BMI, receive equitable and respectful care.
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Affiliation(s)
- Olivia Kapera
- Center for Pediatric Population Health, UT Health School of Public Health, Dallas, TX, USA
- University of Texas Health Science Center, School of Public Health, Austin Campus, Austin, TX, USA
| | - Baojiang Chen
- Department of Biostatistics and Data Science, University of Texas Health Science Center at Houston, USA
| | - Jaime P. Almandoz
- University of Texas Southwestern Medical Center, Department of Internal Medicine, Division of Endocrinology, Dallas, TX, USA
| | - Courtney Byrd-Williams
- University of Texas Health Science Center, School of Public Health, Austin Campus, Austin, TX, USA
| | - Sarah E. Messiah
- Center for Pediatric Population Health, UT Health School of Public Health, Dallas, TX, USA
- University of Texas Health Science Center, School of Public Health, Dallas Campus, Dallas, TX, USA
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Tola A, Assefa N, Dessie Y, Oljira L, Regassa LD, Gure T, Gobena T. Epidemiology of hyperglycemia during pregnancy in Ethiopia: prevalence, associated factors, and feto-maternal outcomes: systematic review and meta-analysis. Syst Rev 2024; 13:116. [PMID: 38685068 PMCID: PMC11057183 DOI: 10.1186/s13643-024-02526-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Accepted: 04/13/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Hyperglycemia in pregnancy (HIP) is a significant medical complication affecting pregnant women globally and is considered a public health burden due to the negative outcomes it can cause for both mother and infant. The aim of this systematic review and meta-analysis was to examine the prevalence, risk factors, and feto-maternal outcomes of HIP in Ethiopia. METHODS To gather relevant information for this study, both published and unpublished studies were searched for in several major databases, including PubMed, Embase, HINARI, Web of Science direct, and Google Scholar, as well as other sources. The Joanna Briggs Institute (JBI) tool was used to evaluate the methodological quality of the findings from these studies. Data was then extracted and summarized using a template in Microsoft Excel software, and the extracted data was analyzed using Stata software version 16.0. If significant heterogeneity was found between studies, subgroup analyses were conducted to further examine the data. RESULT Eighteen studies were included in this systematic review and meta-analysis, involving a total sample size of 50,816 pregnant women in Ethiopia. The prevalence of HIP among pregnant women varied considerably across the primary studies, ranging from 0.4 to 26.2%. The pooled prevalence of HIP among pregnant women in Ethiopia was found to be 6.9% (95% C 2.2-11.6). Pregnant women with a family history of diabetes had 2.5 times higher odds of developing HIP compared to those without a family history of diabetes (OR = 2.49; 95% CI = 2.02, 2.96). However, there was no significant association found between HIP and maternal obesity (OR 2.31, 95% CI = 0.85, 3.78) or previous history of abortion (OR 3.89; 95% CI 0.85, 6.94). The common fetal outcomes associated with HIP were admission to the intensive care unit (46.2; 95% CI 27.4, 65.1), macrosomia (27.3%; 95% CI 9.4%, 45.1%), and preterm birth (16.9; 95% CI 12.5, 21.3). Additionally, hypertensive disorders of pregnancy (28.0%; 95% CI 15.2, 40.8) and operative delivery (51.4%; 95% CI 35.9, 66.8) were more common among women with HIP in Ethiopia. CONCLUSION Although there was some variation between studies, the meta-analysis revealed that approximately seven out of 100 pregnant women in Ethiopia had HIP. A family history of diabetes was found to be a significant predictor of HIP in Ethiopia. Additionally, HIP was associated with various serious adverse outcomes for both mothers and infants in Ethiopia. These findings highlight the need for national guidelines to ensure that pregnant women are uniformly screened for HIP.
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Affiliation(s)
- Assefa Tola
- School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia.
| | - Nega Assefa
- School of Nursing and Midwifery, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Yadeta Dessie
- School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Lemessa Oljira
- School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Lemma Demissie Regassa
- School of Public Health, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Tadesse Gure
- School of Medicine, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
| | - Tesfaye Gobena
- Department of Environmental Health Science, College of Health and Medical Sciences, Haramaya University, Harar, Ethiopia
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Li W, Jiang Y, Feng L, Yu J. Visceral Adipose Tissue Depth as a Novel Predictor for Gestational Diabetes Mellitus: A Comprehensive Meta-Analysis and Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:557. [PMID: 38674203 PMCID: PMC11052462 DOI: 10.3390/medicina60040557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/06/2024] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
Background and Objectives: The escalating prevalence of gestational diabetes mellitus (GDM) and the limitations associated with utilizing body mass index (BMI) as a predictive measure underscore the imperative need for identifying an optimal early pregnancy predictor. Such a predictor not only mitigates the risk of GDM but also allows for timely implementation of interventions. Materials and Methods: This meta-analysis aimed to explore the association between visceral adipose tissue (VAT) depth and the risk of GDM. A thorough search of PubMed, Embase, and Web of Science databases was conducted up to 30 September 2023. The analysis employed a random-effects model to assess the relationship between VAT depth and the likelihood of GDM. Results: The inclusion criteria encompassed seven studies involving 1315 women, including 225 diagnosed with GDM. Significantly lower VAT depth was observed in the non-GDM group in comparison to the GDM group (Standardized Mean Difference [SMD]: 0.84; 95% Confidence Interval [CI]: 0.52-1.15; p < 0.001). Substantial statistical heterogeneity was noted among studies (I2 = 72.88%, p = 0.001). Through meticulous sensitivity and subgroup analyses, the source of heterogeneity was identified and thoroughly discussed. Subgroup analyses suggest that different GDM diagnostic criteria and VAT definitions all indicate higher VAT depth in GDM patients during early pregnancy. Conclusions: Our findings propose that, during the first trimester, GDM patients exhibit higher VAT depth compared to non-GDM women, highlighting VAT depth as a potential predictive factor for GDM in early pregnancy. This study contributes valuable evidence to the growing body of knowledge surrounding novel predictors for GDM, emphasizing the importance of early intervention strategies.
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Affiliation(s)
| | | | | | - Jun Yu
- Department of Gynecology and Obstetrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, China; (W.L.); (Y.J.); (L.F.)
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Eades CE, Burrows KA, Andreeva R, Stansfield DR, Evans JM. Prevalence of gestational diabetes in the United States and Canada: a systematic review and meta-analysis. BMC Pregnancy Childbirth 2024; 24:204. [PMID: 38491497 PMCID: PMC10941381 DOI: 10.1186/s12884-024-06378-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2022] [Accepted: 02/28/2024] [Indexed: 03/18/2024] Open
Abstract
BACKGROUND An understanding of the prevalence of gestational diabetes mellitus among pregnant women is essential at local, national and international level so that appropriate health care interventions can be planned, financed and delivered. METHODS A systematic review and meta-analysis of primary research reporting the prevalence of gestational diabetes mellitus in Canada or the United States were carried out according to Meta-analysis of Observational Studies in Epidemiology guidelines. Four electronic databases were systematically searched in June 2023 to identify articles that reported gestational diabetes mellitus prevalence using universal screening in pregnant women from eligible general population samples. Estimates were combined using a random effects model, and the effects of moderator variables analysed. RESULTS There were 36 separate samples of women or deliveries (total sample size 1,550,917). Overall mean prevalence of gestational diabetes mellitus was 6.9% (95% CI: 5.7-8.3); 13.7% (95% CI: 10.7-17.3) in studies using a one-step screening strategy, and 5.2% (95% CI: 4.4-6.1) in those using a two-step strategy. Heterogeneity in technical methods between studies produced differences in estimates, as did different diagnostic thresholds used. CONCLUSIONS The meta-analysis suggests a slightly higher prevalence of gestational diabetes mellitus in Canada and the United States, compared to Europe, but highlights the need for standardised protocols for estimating gestational diabetes mellitus prevalence.
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Affiliation(s)
- Claire E Eades
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK.
| | - Katherine A Burrows
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | - Roza Andreeva
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
| | | | - Josie Mm Evans
- Faculty of Health Sciences and Sport, University of Stirling, Stirling, FK9 4LA, Scotland, UK
- Public Health Scotland, Edinburgh, Scotland
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Prodan NC, Schmidt M, Hoopmann M, Abele H, Kagan KO. Obesity in prenatal medicine: a game changer? Arch Gynecol Obstet 2024; 309:961-974. [PMID: 37861742 PMCID: PMC10867045 DOI: 10.1007/s00404-023-07251-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 09/29/2023] [Indexed: 10/21/2023]
Abstract
Obesity is recognized by the World Health Organization (WHO) as a disease in its own right. Moreover, obesity is an increasingly concerning public health issue across the world and its prevalence is rising amongst women of reproductive age. The fertility of over-weight and obese women is reduced and they experience a higher rate of miscarriage. In pregnant women obesity not only increases the risk of antenatal complications, such as preeclampsia and gestational diabetes, but also fetal abnormalities, and consequently the overall feto-maternal mortality. Ultrasound is one of the most valuable methods to predict and evaluate pregnancy complications. However, in overweight and obese pregnant women, the ultrasound examination is met with several challenges, mainly due to an impaired acoustic window. Overall obesity in pregnancy poses special challenges and constraints to the antenatal care and increases the rate of pregnancy complications, as well as complications later in life for the mother and child.
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Affiliation(s)
- Natalia Carmen Prodan
- Department of Prenatal Diagnosis, University Clinic of Obstetrics and Gynaecology, Calwerstr. 7, Tuebingen, Germany.
| | - Markus Schmidt
- Clinic for Obstetrics and Gynaecology. Sana Kliniken, Zu den Rehwiesen 9-11, Duisburg, Germany
| | - Markus Hoopmann
- Department of Prenatal Diagnosis, University Clinic of Obstetrics and Gynaecology, Calwerstr. 7, Tuebingen, Germany
| | - Harald Abele
- Department of Prenatal Diagnosis, University Clinic of Obstetrics and Gynaecology, Calwerstr. 7, Tuebingen, Germany
| | - Karl Oliver Kagan
- Department of Prenatal Diagnosis, University Clinic of Obstetrics and Gynaecology, Calwerstr. 7, Tuebingen, Germany
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Souza JP, Day LT, Rezende-Gomes AC, Zhang J, Mori R, Baguiya A, Jayaratne K, Osoti A, Vogel JP, Campbell O, Mugerwa KY, Lumbiganon P, Tunçalp Ö, Cresswell J, Say L, Moran AC, Oladapo OT. A global analysis of the determinants of maternal health and transitions in maternal mortality. Lancet Glob Health 2024; 12:e306-e316. [PMID: 38070536 DOI: 10.1016/s2214-109x(23)00468-0] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 10/04/2023] [Accepted: 10/05/2023] [Indexed: 01/22/2024]
Abstract
The reduction of maternal mortality and the promotion of maternal health and wellbeing are complex tasks. This Series paper analyses the distal and proximal determinants of maternal health, as well as the exposures, risk factors, and micro-correlates related to maternal mortality. This paper also examines the relationship between these determinants and the gradual shift over time from a pattern of high maternal mortality to a pattern of low maternal mortality (a phenomenon described as the maternal mortality transition). We conducted two systematic reviews of the literature and we analysed publicly available data on indicators related to the Sustainable Development Goals, specifically, estimates prepared by international organisations, including the UN and the World Bank. We considered 23 frameworks depicting maternal health and wellbeing as a multifactorial process, with superdeterminants that broadly affect women's health and wellbeing before, during, and after pregnancy. We explore the role of social determinants of maternal health, individual characteristics, and health-system features in the production of maternal health and wellbeing. This paper argues that the preventable deaths of millions of women each decade are not solely due to biomedical complications of pregnancy, childbirth, and the postnatal period, but are also tangible manifestations of the prevailing determinants of maternal health and persistent inequities in global health and socioeconomic development. This paper underscores the need for broader, multipronged actions to improve maternal health and wellbeing and accelerate sustainable reductions in maternal mortality. For women who have pregnancy, childbirth, or postpartum complications, the health system provides a crucial opportunity to interrupt the chain of events that can potentially end in maternal death. Ultimately, expanding the health sector ecosystem to mitigate maternal health determinants and tailoring the configuration of health systems to counter the detrimental effects of eco-social forces, including though increased access to quality-assured commodities and services, are essential to improve maternal health and wellbeing and reduce maternal mortality.
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Affiliation(s)
- João Paulo Souza
- Department of Social Medicine, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil; BIREME, Department of Evidence and Intelligence for Action in Health, Pan American Health Organization (PAHO)-World Health Organization Americas Regional Office, São Paulo, Brazil.
| | - Louise Tina Day
- Department of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Ana Clara Rezende-Gomes
- Department of Social Medicine, Ribeirao Preto Medical School, University of São Paulo, São Paulo, Brazil
| | - Jun Zhang
- Ministry of Education and Shanghai Key Laboratory of Children's Environmental Health, Xinhua Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Rintaro Mori
- Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Adama Baguiya
- Kaya Health and Demographic Surveillance System (Kaya-HDSS), Research Institute for Health Sciences (IRSS), Ouagadougou, Burkina Faso
| | | | - Alfred Osoti
- Department of Obstetrics, University of Nairobi, Nairobi, Kenya; Department of Global Health, University of Washington, Seattle, WA, USA
| | - Joshua P Vogel
- Maternal, Child and Adolescent Health Program, Burnet Institute, Melbourne, VIC, Australia
| | - Oona Campbell
- Department of Infectious Disease Epidemiology and International Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Kidza Y Mugerwa
- Department of Obstetrics and Gynecology, Makerere University, Kampala, Uganda
| | - Pisake Lumbiganon
- Department of Obstetrics & Gynecology, Khon Kaen University, Khon Kaen, Thailand
| | - Özge Tunçalp
- UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Jenny Cresswell
- UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Lale Say
- UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland
| | - Allisyn Carol Moran
- Department of Maternal, Newborn, Child, Adolescent Health and Ageing, World Health Organization, Geneva, Switzerland
| | - Olufemi T Oladapo
- UNDP-UNFPA-UNICEF-WHO-World Bank Special Programme of Research, Development and Research Training in Human Reproduction (HRP), Department of Sexual and Reproductive Health and Research, World Health Organization, Geneva, Switzerland
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Fu Q, Chen R, Xu S, Ding Y, Huang C, He B, Jiang T, Zeng B, Bao M, Li S. Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study. Front Endocrinol (Lausanne) 2024; 14:1276836. [PMID: 38260157 PMCID: PMC10801737 DOI: 10.3389/fendo.2023.1276836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Accepted: 12/14/2023] [Indexed: 01/24/2024] Open
Abstract
Background Previous research on the association between risk factors and gestational diabetes mellitus (GDM) primarily comprises observational studies with inconclusive results. The objective of this study is to investigate the causal relationship between 108 traits and GDM by employing a two-sample Mendelian randomization (MR) analysis to identify potential risk factors of GDM. Methods We conducted MR analyses to explore the relationships between traits and GDM. The genome-wide association studies (GWAS) for traits were primarily based on data from the UK Biobank (UKBB), while the GWAS for GDM utilized data from FinnGen. We employed a false discovery rate (FDR) of 5% to account for multiple comparisons. Results The inverse-variance weighted (IVW) method indicated that the genetically predicted 24 risk factors were significantly associated with GDM, such as "Forced expiratory volume in 1-second (FEV1)" (OR=0.76; 95% CI: 0.63, 0.92), "Forced vital capacity (FVC)" (OR=0.74; 95% CI: 0.64, 0.87), "Usual walking pace" (OR=0.19; 95% CI: 0.09, 0.39), "Sex hormone-binding globulin (SHBG)" (OR=0.86; 95% CI: 0.78, 0.94). The sensitivity analyses with MR-Egger and weighted median methods indicated consistent results for most of the trats. Conclusion Our study has uncovered a significant causal relationship between 24 risk factors and GDM. These results offer a new theoretical foundation for preventing or mitigating the risks associated with GDM.
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Affiliation(s)
- Qingming Fu
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Rumeng Chen
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Shuling Xu
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Yining Ding
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
| | - Chunxia Huang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Binsheng He
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
| | - Ting Jiang
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Bin Zeng
- School of Stomatology, Changsha Medical University, Changsha, China
| | - Meihua Bao
- The Hunan Provincial Key Laboratory of the TCM Agricultural Biogenomics, Changsha Medical University, Changsha, China
- Hunan key laboratory of the research and development of novel pharmaceutical preparations, School of Pharmaceutical Science, Changsha Medical University, Changsha, China
| | - Sen Li
- School of Life Sciences, Beijing University of Chinese Medicine, Beijing, China
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Francis EC, Powe CE, Lowe WL, White SL, Scholtens DM, Yang J, Zhu Y, Zhang C, Hivert MF, Kwak SH, Sweeting A. Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis. COMMUNICATIONS MEDICINE 2023; 3:185. [PMID: 38110524 PMCID: PMC10728189 DOI: 10.1038/s43856-023-00393-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/25/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Perinatal outcomes vary for women with gestational diabetes mellitus (GDM). The precise factors beyond glycemic status that may refine GDM diagnosis remain unclear. We conducted a systematic review and meta-analysis of potential precision markers for GDM. METHODS Systematic literature searches were performed in PubMed and EMBASE from inception to March 2022 for studies comparing perinatal outcomes among women with GDM. We searched for precision markers in the following categories: maternal anthropometrics, clinical/sociocultural factors, non-glycemic biochemical markers, genetics/genomics or other -omics, and fetal biometry. We conducted post-hoc meta-analyses of a subset of studies with data on the association of maternal body mass index (BMI, kg/m2) with offspring macrosomia or large-for-gestational age (LGA). RESULTS A total of 5905 titles/abstracts were screened, 775 full-texts reviewed, and 137 studies synthesized. Maternal anthropometrics were the most frequent risk marker. Meta-analysis demonstrated that women with GDM and overweight/obesity vs. GDM with normal range BMI are at higher risk of offspring macrosomia (13 studies [n = 28,763]; odds ratio [OR] 2.65; 95% Confidence Interval [CI] 1.91, 3.68), and LGA (10 studies [n = 20,070]; OR 2.23; 95% CI 2.00, 2.49). Lipids and insulin resistance/secretion indices were the most studied non-glycemic biochemical markers, with increased triglycerides and insulin resistance generally associated with greater risk of offspring macrosomia or LGA. Studies evaluating other markers had inconsistent findings as to whether they could be used as precision markers. CONCLUSIONS Maternal overweight/obesity is associated with greater risk of offspring macrosomia or LGA in women with GDM. Pregnancy insulin resistance or hypertriglyceridemia may be useful in GDM risk stratification. Future studies examining non-glycemic biochemical, genetic, other -omic, or sociocultural precision markers among women with GDM are warranted.
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Affiliation(s)
- Ellen C Francis
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, USA.
| | - Camille E Powe
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Sara L White
- Department of Women and Children's Health, King's College London, London, UK
| | - Denise M Scholtens
- Department of Preventive Medicine, Division of Biostatistics, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Jiaxi Yang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Yeyi Zhu
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Cuilin Zhang
- Global Center for Asian Women's Health (GloW), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Marie-France Hivert
- Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Soo Heon Kwak
- Department of Internal Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea
| | - Arianne Sweeting
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
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Sun H, Su X, Mao J, Du Q. Impact of pre-pregnancy weight on the risk of premature rupture of membranes in Chinese women. Heliyon 2023; 9:e21971. [PMID: 38027997 PMCID: PMC10661500 DOI: 10.1016/j.heliyon.2023.e21971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 10/18/2023] [Accepted: 11/01/2023] [Indexed: 12/01/2023] Open
Abstract
Objective The objective of this study was to investigate the influence of pre-pregnancy body mass index (BMI) on the incidence of premature rupture of membranes (PROM) among Chinese women. Methods This was a hospital-based retrospective cohort study of 75,760 Chinese women who had live singleton births between 2016 and 2020. In this study, we utilized logistic regression analysis to estimate the association between pre-pregnancy BMI and PROM based on gestational age. Results Prior to pregnancy, being overweight or obese was found to be significantly associated with an increased risk of preterm premature rupture of membranes (PPROM), as evidenced by adjusted odds ratios and 95 % confidence intervals of 1.336 (1.173-1.522) and 1.411 (1.064-1.872), respectively. Those with PPROM were divided into three groups according to gestational age: 22-27, 28-31, and 32-36 weeks. Women who were overweight or obese prior to pregnancy had a higher likelihood of experiencing PROM between 22 and 27 weeks of gestation. This finding remained consistent even after controlling for potential confounding factors, such as gestational diabetes mellitus (GDM), gestational hypertension, preeclampsia, hydramnios, cervical abnormalities, and a history of preterm birth. Conclusion Our research findings indicate that being overweight or obese before pregnancy is linked to a higher likelihood of experiencing PPROM. Therefore, achieving optimal weight before pregnancy is important to prevent PPROM and its associated complications.
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Affiliation(s)
- Hanxiang Sun
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Xiujuan Su
- Clinical Research Center, Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Jing Mao
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
| | - Qiaoling Du
- Department of Obstetrics, Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, Shanghai 200092, China
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Baumel-Alterzon S, Tse I, Heidery F, Garcia-Ocaña A, Scott DK. NRF2 Dysregulation in Mice Leads to Inadequate Beta-Cell Mass Expansion during Pregnancy and Gestational Diabetes. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.28.555207. [PMID: 37693560 PMCID: PMC10491153 DOI: 10.1101/2023.08.28.555207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/12/2023]
Abstract
The late stages of the mammalian pregnancy are accompanied with increased insulin resistance due to the increased glucose demand of the growing fetus. Therefore, as a compensatory response to maintain the maternal normal blood glucose levels, maternal beta-cell mass expands leading to increased insulin release. Defects in beta-cell adaptive expansion during pregnancy can lead to gestational diabetes mellitus (GDM). Although the exact mechanisms that promote GDM are poorly understood, GDM strongly associates with impaired beta-cell proliferation and with increased levels of reactive oxygen species (ROS). Here, we show that NRF2 levels are upregulated in mouse beta-cells at gestation day 15 (GD15) concomitant with increased beta-cell proliferation. Importantly, mice with tamoxifen-induced beta-cell-specific NRF2 deletion display inhibition of beta-cell proliferation, increased beta-cell oxidative stress and elevated levels of beta-cell death at GD15. This results in attenuated beta-cell mass expansion and disturbed glucose homeostasis towards the end of pregnancy. Collectively, these results highlight the importance of NRF2-oxidative stress regulation in beta-cell mass adaptation to pregnancy and suggest NRF2 as a potential therapeutic target for treating GDM.
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Affiliation(s)
- Sharon Baumel-Alterzon
- Diabetes, Obesity and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Isabelle Tse
- Diabetes, Obesity and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Fatema Heidery
- Diabetes, Obesity and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Adolfo Garcia-Ocaña
- Department of Molecular and Cellular Endocrinology, Arthur Riggs Diabetes & Metabolism Research Institute at City of Hope, Duarte, CA
| | - Donald K. Scott
- Diabetes, Obesity and Metabolism Institute, Icahn School of Medicine at Mount Sinai, New York, NY
- Mindich Child Health and Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY
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12
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Duh-Leong C, Ghassabian A, Kannan K, Gross RS, Ortiz R, Gaylord A, Afanasyeva Y, Lakuleswaran M, Spadacini L, Trasande L. Prenatal oxidative stress and rapid infant weight gain. Int J Obes (Lond) 2023; 47:583-589. [PMID: 37012425 PMCID: PMC11251034 DOI: 10.1038/s41366-023-01302-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 04/05/2023]
Abstract
BACKGROUND AND OBJECTIVES Infant weight patterns predict subsequent weight outcomes. Rapid infant weight gain, defined as a >0.67 increase in weight-for-age z-score (WAZ) between two time points in infancy, increases obesity risk. Higher oxidative stress, an imbalance between antioxidants and reactive oxygen species, has been associated with low birthweight and paradoxically also with later obesity. We hypothesized that prenatal oxidative stress may also be associated with rapid infant weight gain, an early weight pattern associated with future obesity. METHODS Within the NYU Children's Health and Environment Study prospective pregnancy cohort, we analyzed associations between prenatal lipid, protein, and DNA urinary oxidative stress biomarkers and infant weight data. Primary outcome was rapid infant weight gain (>0.67 increase in WAZ) between birth and later infancy at the 8 or 12 month visit. Secondary outcomes included: very rapid weight gain (>1.34 increase in WAZ), low (<2500 g) or high (≥4000 g) birthweight, and low (< -1 WAZ) or high (>1 WAZ) 12 month weight. RESULTS Pregnant participants consented to the postnatal study (n = 541); 425 participants had weight data both at birth and in later infancy. In an adjusted binary model, prenatal 8-iso-PGF2α, a lipid oxidative stress biomarker, was associated with rapid infant weight gain (aOR 1.44; 95% CI: 1.16, 1.78, p = 0.001). In a multinomial model using ≤0.67 change in WAZ as a reference group, 8-iso-PGF2α was associated with rapid infant weight gain (defined as >0.67 but ≤1.34 WAZ; aOR 1.57, 95% CI: 1.19, 2.05, p = 0.001) and very rapid infant weight gain (defined as >1.34 WAZ; aOR 1.33; 95% CI: 1.02, 1.72, p < 0.05) Secondary analyses detected associations between 8-iso-PGF2α and low birthweight outcomes. CONCLUSIONS We found an association between 8-iso-PGF2α, a lipid prenatal oxidative stress biomarker, and rapid infant weight gain, expanding our understanding of the developmental origins of obesity and cardiometabolic disease.
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Affiliation(s)
- Carol Duh-Leong
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA.
| | - Akhgar Ghassabian
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Kurunthachalam Kannan
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA
| | - Rachel S Gross
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | - Robin Ortiz
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
- Institute for Excellence in Health Equity, NYU Langone Health, New York, NY, USA
| | - Abigail Gaylord
- Department of Environmental Health Sciences, Columbia Mailman School of Public Health, New York, NY, USA
| | - Yelena Afanasyeva
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
| | | | - Larry Spadacini
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
| | - Leonardo Trasande
- Department of Pediatrics, NYU Grossman School of Medicine, New York, NY, USA
- Department of Population Health, NYU Grossman School of Medicine, New York, NY, USA
- Department of Environmental Medicine, NYU Grossman School of Medicine, New York, NY, USA
- NYU Wagner Graduate School of Public Service, New York, NY, USA
- NYU School of Global Public Health, New York, NY, USA
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13
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Ke JF, Liu S, Ge RL, Ma L, Li MF. Associations of maternal pre-pregnancy BMI and gestational weight gain with the risks of adverse pregnancy outcomes in Chinese women with gestational diabetes mellitus. BMC Pregnancy Childbirth 2023; 23:414. [PMID: 37270485 PMCID: PMC10239605 DOI: 10.1186/s12884-023-05657-8] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 04/28/2023] [Indexed: 06/05/2023] Open
Abstract
BACKGROUND Give the high background risk of adverse pregnancy outcomes (APOs), it is important to understand the associations of maternal pre-pregnancy body mass index (ppBMI), gestational weight gain (GWG) with APOs in women with gestational diabetes mellitus (GDM). We addressed the independent and joint associations of maternal ppBMI and GWG with APOs in Chinese women with GDM. METHODS 764 GDM women with singleton delivery were studied and they were stratified into three weight groups by ppBMI (underweight, normal weight and overweight/obesity) following classification standards for Chinese adults and three GWG groups (inadequate, adequate, excessive GWG) by the 2009 Institute of Medicine guidelines, respectively. Univariate and multivariate logistic regression analyses were performed to estimate the odds ratios of APOs. RESULTS Maternal overweight/obesity was associated with increased odds of pregnancy-induced hypertension [PIH, adjusted odds ratio (aOR): 2.828, 95% confidence interval (CI) 1.382-5.787], cesarean delivery (CS) (aOR 2.466, 95%CI 1.694-3.590), preterm delivery (aOR 2.466, 95%CI 1.233-4.854), LGA (aOR 1.664, 95%CI 1.120-2.472), macrosomia (aOR 2.682, 95%CI 1.511-4.760) and any pregnancy complication (aOR 2.766, 95%CI 1.840-4.158) compared with healthy weight. Inadequate GWG was less likely to develop PIH (aOR 0.215, 95%CI 0.055-0.835), CS (aOR 0.612, 95%CI 0.421-0.889) and any pregnancy complication (aOR 0.628, 95%CI 0.435-0.907), but had higher risk of preterm birth (aOR 2.261, 95%CI 1.089-4.692), while excessive GWG was more vulnerable to LGA (aOR 1.929, 95%CI 1.272-2.923), macrosomia (aOR 2.753, 95%CI 1.519-4.989) and any pregnancy complication (aOR 1.548, 95%CI 1.006-2.382) as compared to adequate GWG. Furthermore, compared to normal weight mothers with adequate GWG, obese mothers with excessive GWG had the highest risk of any pregnancy complication (aOR 3.064, 95%CI 1.636-5.739). CONCLUSIONS Maternal overweight/obesity and GWG were associated with APOs in the already high-risk settings of GDM. Obese mothers with excessive GWG may confer the greatest risk of adverse outcomes. It was very helpful to reduce the burden of APOs and benefit GDM women by promoting a healthy pre-pregnancy BMI and GWG.
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Affiliation(s)
- Jiang-Feng Ke
- Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China
- Department of Endocrinology & Metabolism, Shanghai Clinical Medical Center of Diabetes, Shanghai Key Clinical Center of Metabolic Diseases, Shanghai Institute for Diabetes, Shanghai Key Laboratory of Diabetes, Shanghai Sixth People's Hospital Affliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Sheng Liu
- Department of Emergency, Shanghai Sixth People's Hospital Affliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
- Shanghai Medical Emergency Center, Shanghai, China
| | - Ri-Le Ge
- Department of General Practice, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li Ma
- Department of Obstetrics and Gynecology, Shanghai Clinical Center for Severe Maternal Rescue, Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
| | - Mei-Fang Li
- Department of Emergency, Shanghai Sixth People's Hospital Affliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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Benchahong S, Sunsaneevithayakul P, Boriboonhirunsarn D. The Association Between Body Fat Index and Gestational Diabetes Mellitus: A Prospective Cohort Study. Cureus 2023; 15:e39615. [PMID: 37388597 PMCID: PMC10299897 DOI: 10.7759/cureus.39615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/27/2023] [Indexed: 07/01/2023] Open
Abstract
BACKGROUND Body mass index (BMI) has commonly been used to evaluate the risk of gestational diabetes mellitus (GDM), but BMI does not always represent body fat mass distribution. Body fat index (BFI), which includes the measurement of subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT), has been suggested to be a better predictor for GDM than BMI. OBJECTIVE The objective of this study is to compare the risk of GDM among pregnant females with BFI of >0.5 and ≤0.5. METHODS Maternal abdominal subcutaneous adipose tissue (SAT) and visceral adipose tissue (VAT) thickness were measured by ultrasonography before 14 weeks of gestation, and BFI was calculated (VAT×SAT/height). The study group was 160 females with BFI of >0.5, and the comparison group was 80 females with BFI of ≤0.5. All females received GDM screening during the first antenatal visit and at 24-28 weeks of gestation. The rate of GDM was compared between the two groups. The correlation between BFI and BMI and their diagnostic ability for GDM were evaluated. Logistic regression analysis was performed to determine the independent associated factors for GDM. RESULTS Females with BFI of >0.5 were significantly older (p=0.033) and had higher body mass index (BMI) (p<0.001) and were more likely to be overweight or obese (p<0.001). BFI correlated well with BMI (correlation coefficient of 0.736, p<0.001). GDM was significantly more common in females with BFI of >0.5 (24.4% versus 11.3%, p=0.017). The diagnostic ability for GDM between BFI and BMI was similar (areas under receiver operating characteristic {ROC} curves of 0.641 and 0.646, respectively). Significant independent risk factors for GDM were a BFI of >0.5 and a BMI of ≥25 kg/m2 (adjusted odds ratio {OR}, 3.8; 95% confidence interval {CI}, 1.5-9.2), age of ≥30 years (adjusted OR, 2.8; 95% CI, 1.2-6.4), and family history of diabetes mellitus (DM) (adjusted OR, 4.0; 95% CI, 1.9-8.3). CONCLUSION Females with BFI of >0.5 were significantly more likely to have GDM. The diagnostic ability of BFI and BMI for GDM was comparable. Females with BFI of >0.5 and BMI of ≥25 kg/m2 have an increased risk for GDM.
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Affiliation(s)
- Sawanya Benchahong
- Obstetrics and Gynecology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, THA
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15
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Jokelainen M, Stach-Lempinen B, Teramo K, Nenonen A, Kautiainen H, Klemetti MM. Large maternal waist circumference in relation to height is associated with high glucose concentrations in an early-pregnancy oral glucose tolerance test: A population-based study. Acta Obstet Gynecol Scand 2023; 102:496-505. [PMID: 36799298 PMCID: PMC10008291 DOI: 10.1111/aogs.14528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2022] [Revised: 01/23/2023] [Accepted: 01/24/2023] [Indexed: 02/18/2023]
Abstract
INTRODUCTION To explore the role of maternal anthropometric characteristics in early-pregnancy glycemia, we analyzed the associations and interactions of maternal early-pregnancy waist circumference (WC), height and pre-pregnancy body mass index (BMI) with plasma glucose concentrations in an oral glucose tolerance test (OGTT) at 12-16 weeks' gestation. MATERIAL AND METHODS A population-based cohort of 1361 pregnant women was recruited in South Karelia, Finland, from March 2013 to December 2016. All participants had their WC, weight, height, HbA1c , and blood pressure measured at 8-14 weeks' gestation and subsequently underwent a 2-h 75-g OGTT, including assessment of fasting insulin concentrations, at 12-16 weeks' gestation. BMI (kg/m2 ) was calculated using self-reported pre-pregnancy weight. Maternal WC ≥80 cm was defined as large. Maternal height ≥166 cm was defined as tall. Data on gestational diabetes treatment was extracted from hospital records. RESULTS In the total cohort, 901 (66%) of women had an early-pregnancy WC ≥80 cm, which was associated with higher early-pregnancy HbA1c, higher concentrations of fasting plasma glucose and serum insulin, higher post-load plasma glucose concentrations, higher HOMA-IR indices, higher blood pressure levels, and higher frequencies of pharmacologically treated gestational diabetes, than early-pregnancy WC <80 cm. Maternal height ≥166 cm was negatively associated with 1- and 2-h post-load plasma glucose concentrations. Waist-to-height ratio (WHtR) >0.5 was positively associated with both fasting and post-load plasma glucose concentrations at 12-16 weeks' gestation, even when adjusted for age, smoking, nulliparity, and family history of type 2 diabetes. The best cut-offs for WHtR (0.58 for 1-h plasma glucose, and 0.54 for 2-h plasma glucose) were better predictors of post-load glucose concentrations >90th percentile than the best cut-offs for BMI (28.1 kg/m2 for 1-h plasma glucose, and 26.6 kg/m2 for 2-h plasma glucose), with areas-under-the-curve (95% confidence interval) 0.73 (0.68-0.79) and 0.73 (0.69-0.77), respectively, for WHtR, and 0.68 (0.63-0.74) and 0.69 (0.65-0.74), respectively, for BMI. CONCLUSIONS In our population-based cohort, early-pregnancy WHtR >0.5 was positively associated with both fasting and post-load glucose concentrations at 12-16 weeks' gestation and performed better than BMI in the prediction of post-load glucose concentrations >90th percentile. Overall, our results underline the importance of evaluating maternal abdominal adiposity in gestational diabetes risk assessment.
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Affiliation(s)
- Mervi Jokelainen
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland.,Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Beata Stach-Lempinen
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland
| | - Kari Teramo
- Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Arja Nenonen
- Laboratory Center, South Karelia Central Hospital, Lappeenranta, Finland
| | - Hannu Kautiainen
- Folkhälsan Research Center, Helsinki, Finland.,Primary Health Care Unit, Kuopio University Hospital, Kuopio, Finland
| | - Miira M Klemetti
- Obstetrics and Gynecology, South Karelia Central Hospital, Lappeenranta, Finland.,Department of Obstetrics and Gynecology, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
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16
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Bensussen A, Torres-Magallanes JA, Roces de Álvarez-Buylla E. Molecular tracking of insulin resistance and inflammation development on visceral adipose tissue. Front Immunol 2023; 14:1014778. [PMID: 37026009 PMCID: PMC10070947 DOI: 10.3389/fimmu.2023.1014778] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Accepted: 02/27/2023] [Indexed: 04/08/2023] Open
Abstract
Background Visceral adipose tissue (VAT) is one of the most important sources of proinflammatory molecules in obese people and it conditions the appearance of insulin resistance and diabetes. Thus, understanding the synergies between adipocytes and VAT-resident immune cells is essential for the treatment of insulin resistance and diabetes. Methods We collected information available on databases and specialized literature to construct regulatory networks of VAT resident cells, such as adipocytes, CD4+ T lymphocytes and macrophages. These networks were used to build stochastic models based on Markov chains to visualize phenotypic changes on VAT resident cells under several physiological contexts, including obesity and diabetes mellitus. Results Stochastic models showed that in lean people, insulin produces inflammation in adipocytes as a homeostatic mechanism to downregulate glucose intake. However, when the VAT tolerance to inflammation is exceeded, adipocytes lose insulin sensitivity according to severity of the inflammatory condition. Molecularly, insulin resistance is initiated by inflammatory pathways and sustained by intracellular ceramide signaling. Furthermore, our data show that insulin resistance potentiates the effector response of immune cells, which suggests its role in the mechanism of nutrient redirection. Finally, our models show that insulin resistance cannot be inhibited by anti-inflammatory therapies alone. Conclusion Insulin resistance controls adipocyte glucose intake under homeostatic conditions. However, metabolic alterations such as obesity, enhances insulin resistance in adipocytes, redirecting nutrients to immune cells, permanently sustaining local inflammation in the VAT.
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Affiliation(s)
- Antonio Bensussen
- *Correspondence: Antonio Bensussen, ; Elena Roces de Álvarez-Buylla,
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17
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Freitas RGBON, Vasques ACJ, Fernandes GR, Ribeiro FB, Solar I, Barbosa MG, Almeida-Pititto B, Geloneze B, Ferreira SRG. Gestational weight gain and visceral adiposity in adult offspring: Is there a link with the fecal abundance of Acidaminococcus genus? Eur J Clin Nutr 2022; 76:1705-1712. [PMID: 35906333 DOI: 10.1038/s41430-022-01182-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 07/05/2022] [Accepted: 07/11/2022] [Indexed: 11/08/2022]
Abstract
Intrauterine environment can influence the offspring's body adiposity whose distribution affect the cardiometabolic risk. Underlying mechanisms may involve the gut microbiome. We investigated associations of gestational weight gain with the adult offspring's gut microbiota, body adiposity and related parameters in participants of the Nutritionists' Health Study. METHODS This cross-sectional analysis included 114 women who had early life and clinical data, body composition, and biological samples collected. The structure of fecal microbiota was analyzed targeting the V4 region of the 16 S rRNA gene. Beta diversity was calculated by PCoA and PERMANOVA used to test the impact of categorical variables into the diversity. Bacterial clusters were identified based on the Jensen-Shannon divergence matrix and Calinski-Harabasz index. Correlations were tested by Spearman coefficient. RESULTS Median age was 28 (IQR 24-31) years and BMI 24.5 (IQR 21.4-28.0) kg/m2. Fifty-eight participants were assigned to a profile driven by Prevotella and 56 to another driven by Blautia. Visceral adipose tissue was correlated to abundance of Acidaminococcus genus considering the entire sample (r = 0.37; p < 0.001) and the profiles (Blautia: r = 0.35, p = 0.009, and Prevotella: r = 0.38, p = 0.006). In Blautia-driven profile, the same genus was also correlated to maternal gestational weight gain (r = 0.38, p = 0.006). CONCLUSIONS Association of Acidaminococcus with gestational weight gain could reinforce the relevance with mothers' nutritional status for gut colonization at the beginning of life. Whether Acidaminococcus abundance could be a marker for central distribution of adiposity in young women requires further investigation.
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Affiliation(s)
- R G B O N Freitas
- Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil
- Laboratory of Investigation in Metabolism and Diabetes, Gastrocentro, School of Medical Sciences - University of Campinas, São Paulo, Brazil
| | - A C J Vasques
- Laboratory of Investigation in Metabolism and Diabetes, Gastrocentro, School of Medical Sciences - University of Campinas, São Paulo, Brazil
- School of Applied Sciences - University of Campinas, São Paulo, Brazil
| | - G R Fernandes
- Oswaldo Cruz Foundation, Belo Horizonte, São Paulo, Brazil
| | - F B Ribeiro
- Laboratory of Investigation in Metabolism and Diabetes, Gastrocentro, School of Medical Sciences - University of Campinas, São Paulo, Brazil
| | - I Solar
- Laboratory of Investigation in Metabolism and Diabetes, Gastrocentro, School of Medical Sciences - University of Campinas, São Paulo, Brazil
- School of Applied Sciences - University of Campinas, São Paulo, Brazil
| | - M G Barbosa
- School of Applied Sciences - University of Campinas, São Paulo, Brazil
| | - B Almeida-Pititto
- Department of Preventive Medicine, Federal University of São Paulo, São Paulo, Brazil
| | - B Geloneze
- Laboratory of Investigation in Metabolism and Diabetes, Gastrocentro, School of Medical Sciences - University of Campinas, São Paulo, Brazil
- Obesity and Comorbidities Research Center, University of Campinas, São Paulo, Brazil
| | - S R G Ferreira
- Department of Epidemiology, School of Public Health, University of São Paulo, São Paulo, Brazil.
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Svyatova G, Berezina G, Danyarova L, Kuanyshbekova R, Urazbayeva G. Genetic predisposition to gestational diabetes mellitus in the Kazakh population. Diabetes Metab Syndr 2022; 16:102675. [PMID: 36427366 DOI: 10.1016/j.dsx.2022.102675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/16/2022] [Revised: 11/08/2022] [Accepted: 11/15/2022] [Indexed: 11/19/2022]
Abstract
BACKGROUND AND AIMS The purpose of the study was to conduct a comparative analysis of population frequencies of alleles and genotypes of polymorphic variants of genes for impaired insulin synthesis and associated with insulin signal transduction. METHODS This investigation uses a genomic database of 1800 conditionally healthy individuals of Kazakh ethnicity, who underwent full genome genotyping using OmniChip 2.5-8 Illumina chips of ∼2.5 million Single Nucleotide Polymorphism at deCODE Iceland Genomic Centre. RESULTS The highest frequency of carriage of minor A allele - 17.6% rs4607517 polymorphism of Glucokinase gene, unfavorable genotypes A/G - 29.5% and A/A - 3.0% in comparison with European and Asian populations, indicates a contribution of hereditary family forms of Maturity-onset diabetes of the young type 2 to gestational diabetes mellitus in Kazakh population. CONCLUSIONS The study of the associations of genetic markers of gestational diabetes mellitus will allow timely identification of high-risk groups before and at an early stage of pregnancy, carrying out the necessary effective preventive measures and, in the case of gestational diabetes mellitus development, optimizing the correction of carbohydrate metabolism disorders and predicting outcomes for the mother and the fetus.
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Affiliation(s)
- Gulnara Svyatova
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Galina Berezina
- Republican Medical Genetic Consultation, Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
| | - Laura Danyarova
- Department of Scientific Research Management, Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan.
| | - Roza Kuanyshbekova
- Scientific-Research Institute of Cardiology and Internal Diseases, Almaty, Kazakhstan
| | - Gulfairuz Urazbayeva
- Scientific Center of Obstetrics, Gynecology and Perinatology, Almaty, Kazakhstan
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Kisindja RM, Tugirimana PL, Prudence MN, Bosunga K, Sihalikyolo JJJ, Kayamba PKM, Tambwe-A-Nkoy AM. Prevalence of gestational diabetes in Eastern Democratic Republic of Congo. BMC Pregnancy Childbirth 2022; 22:645. [PMID: 35974333 PMCID: PMC9380361 DOI: 10.1186/s12884-022-04970-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 08/08/2022] [Indexed: 11/27/2022] Open
Abstract
Objective To determine the prevalence of gestational diabetes and associated risk factors in the eastern region of the Democratic Republic of Congo (DRC). Methods A cross-sectional study was conducted in Goma city, Idjwi, Ngungu and Rutshuru districts between April 2019 and February 2021. Pregnant women between 24–28 weeks of amenorrhea who consented to participate in the study were included. Blood sugar, anthropometric parameters and obstetrical and family history were studied. Gestational diabetes was defined as blood glucose level between 92 and 125 mg/dL. Results The overall prevalence was 21.2% (n = 391) and was higher in Rutshuru [27.2% (n = 92)] and Goma [26.9% (n = 134)] compared to Ngungu [10.0% (n = 110)] (p = 0.005). An increased risk was associated with a history of a newborn weighing ≥ 4000 g [OR 2.4 95% CI (1.3 – 4.4)] or family diabetes [OR 2.9 95% CI (2.0 – 4.9)]. Median age in the pathological group was not different from that with normal blood glucose [25.0 (16.0 – 44.0) Vs 26.0 (16.0 – 44.0)] (p = 0.67). The prevalence tended to increase for pregnant women with a mid-upper arm circumference ≥ 280 mm [28.1% (n = 57)] Vs [19.3% (n = 322)] if < 280 mm, [OR (95% CI)] [1.5 (0.9—2.3)] (p = 0.13). Conclusion Gestational diabetes was found in one out of five pregnant women regardless their age. A history of macrosomia birth and diabetes in the family were the main risk factors. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04970-y.
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Affiliation(s)
| | - Pierrot Lundimu Tugirimana
- Department of Obstetrics & Gynecology, La Sapientia Catholic University (UCS)/Goma, Goma, Congo.,Department of Internal Medicine, University of Goma (UNIGOM), Goma, Congo
| | | | - Katenga Bosunga
- Department of Gyneco-Obstetrics, University of Kisangani (UNIKIS), Kisangani, Congo
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Mashayekh-Amiri S, Mohammad-Alizadeh-Charandabi S, Abdolalipour S, Mirghafourvand M. Myo-inositol supplementation for prevention of gestational diabetes mellitus in overweight and obese pregnant women: a systematic review and meta-analysis. Diabetol Metab Syndr 2022; 14:93. [PMID: 35794663 PMCID: PMC9258131 DOI: 10.1186/s13098-022-00862-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 06/18/2022] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The prevalence of gestational diabetes mellitus [GDM] and of its most important predisposing factor, i.e. overweight and obesity, have increased dramatically over the past 20 years. Therefore, the aim of this study was to systematically review the articles on the effect of myo-inositol supplementation on the prevention of GDM in pregnant women with overweight and obesity. METHODS We conducted a systematic literature search in electronic database (MEDLINE, Cochrane Library, ClinicalTrials.gov, Embase, ProQuest, PubMed, Google scholar, Scopus, Web of science and forward and backward citations) to identify all randomized controlled trials (RCTs) published until 21 December 2021. Finally, Among the 118 identified records, four studies were eligible and were included in this systematic review. The meta-analysis results were reported in the form of odds ratio (OR) to compare the incidence of GDM and pregnancy outcomes. They were also presented in the form of mean difference (MD) to compare fasting glucose (FG), 1-h and 2-h oral glucose tolerance test (OGTT) levels between the two groups. This study was registered on PROSPERO, number CRD42021290570. RESULTS The results showed that the incidence of GDM was significantly lower in the myo-inositol group (OR 0.32, 95% CI 0.21 to 0.48; P < 0.001; I2 = 0%; Moderate certainty evidence). Moreover, FG-OGTT (MD - 2.64 mg/dl, 95% CI - 4.12 to - 1.17; P < 0.001; I2 = 0%; Moderate certainty evidence), 1-h-OGTT (MD - 7.47 mg/dl, 95% CI - 12.24 to - 2.31; P = 0.005; I2 = 27%; Low certainty evidence) and 2-h-OGTT levels (MD - 10.51 mg/dl, 95% CI - 16.88 to - 4.14; P = 0.001; I2 = 59%; Low certainty evidence) in the myo-inositol group were significantly lower than in the control group. Regarding the pregnancy outcomes, the incidence of gestational hypertension and preterm delivery was significantly lower in the myo-inositol group. However, no between-group difference was observed in the other outcomes. CONCLUSIONS Based on the results, myo-inositol has shown to be a new and safe preventive strategy in reducing the incidence of GDM and in regulating FG and 1-h and 2-h OGTT levels, and also in reducing the incidence of GDM complications such as preterm delivery and gestational hypertension in pregnant women with overweight and obesity.
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Affiliation(s)
- Sepideh Mashayekh-Amiri
- Department of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran
| | | | - Somaiyeh Abdolalipour
- Department of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran
| | - Mojgan Mirghafourvand
- Department of Midwifery, Faculty of Nursing & Midwifery, Tabriz University of Medical Sciences, Tabriz, Iran
- Menopause Andropause Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
- Social Determinants of Health Research Center, Tabriz University of Medical sciences, Tabriz, Iran
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21
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Habibi N, Mousa A, Tay CT, Khomami MB, Patten RK, Andraweera PH, Wassie M, Vandersluys J, Aflatounian A, Bianco‐Miotto T, Zhou SJ, Grieger JA. Maternal metabolic factors and the association with gestational diabetes: A systematic review and meta-analysis. Diabetes Metab Res Rev 2022; 38:e3532. [PMID: 35421281 PMCID: PMC9540632 DOI: 10.1002/dmrr.3532] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/10/2022] [Accepted: 02/26/2022] [Indexed: 11/10/2022]
Abstract
Gestational diabetes (GDM) is associated with several adverse outcomes for the mother and child. Higher levels of individual lipids are associated with risk of GDM and metabolic syndrome (MetS), a clustering of risk factors also increases risk for GDM. Metabolic factors can be modified by diet and lifestyle. This review comprehensively evaluates the association between MetS and its components, measured in early pregnancy, and risk for GDM. Databases (Cumulative Index to Nursing and Allied Health Literature, PubMed, Embase, and Cochrane Library) were searched from inception to 5 May 2021. Eligible studies included ≥1 metabolic factor (waist circumference, blood pressure, fasting plasma glucose (FPG), triglycerides, and high-density lipoprotein cholesterol), measured at <16 weeks' gestation. At least two authors independently screened potentially eligible studies. Heterogeneity was quantified using I2 . Data were pooled by random-effects models and expressed as odds ratio and 95% confidence intervals (CIs). Of 7213 articles identified, 40 unique articles were included in meta-analysis. In analyses adjusting for maternal age and body mass index, GDM was increased with increasing FPG (odds ratios [OR] 1.92; 95% CI 1.39-2.64, k = 7 studies) or having MetS (OR 2.52; 1.65, 3.84, k = 3). Women with overweight (OR 2.17; 95% CI 1.89, 2.50, k = 12) or obesity (OR 4.34; 95% CI 2.79-6.74, k = 9) also were at increased risk for GDM. Early pregnancy assessment of glucose or the MetS, offers a potential opportunity to detect and treat individual risk factors as an approach towards GDM prevention; weight loss for pregnant women with overweight or obesity is not recommended. Systematic review registration: PROSPERO CRD42020199225.
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Affiliation(s)
- Nahal Habibi
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
| | - Aya Mousa
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Chau Thien Tay
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Mahnaz Bahri Khomami
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash UniversityMelbourneVictoriaAustralia
| | - Rhiannon K. Patten
- Institute for Health and SportVictoria UniversityMelbourneVictoriaAustralia
| | - Prabha H. Andraweera
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Department of Cardiology, Lyell McEwin HospitalElizabeth ValeSouth AustraliaAustralia
| | - Molla Wassie
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jared Vandersluys
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Ali Aflatounian
- School of Women's and Children's Health, University of New South WalesSydneyNew South WalesAustralia
| | - Tina Bianco‐Miotto
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Shao J. Zhou
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- School of Agriculture, Food and Wine, and Waite Research Institute, University of AdelaideAdelaideSouth AustraliaAustralia
| | - Jessica A. Grieger
- Robinson Research InstituteUniversity of AdelaideAdelaideSouth AustraliaAustralia
- Adelaide Medical SchoolUniversity of AdelaideAdelaideSouth AustraliaAustralia
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22
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Xiong Y, Wang J, Qi Y, Liu C, Li M, Yao G, Sun W, Qian Y, Ye L, Liu H, Xu Q, Zou K, Tan J, Sun X. Dose-response association between maternal pre-pregnancy bodyweight and gestational diabetes mellitus following ART treatment: a population-based cohort study. Reprod Biol Endocrinol 2022; 20:92. [PMID: 35733199 PMCID: PMC9215080 DOI: 10.1186/s12958-022-00964-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Accepted: 06/02/2022] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The impact of maternal pre-pregnancy bodyweight on gestational diabetes mellitus (GDM) following assisted reproductive technology (ART) treatment has been insufficiently investigated. The aim of this study was to investigate the association between maternal pre-pregnancy bodyweight and GDM following ART. METHODS From January 2014 to March 2019, this population-based retrospective cohort study included pregnancies achieved by ART treatment in a pregnancy registration database in China. Multivariate regression analysis and restricted cubic splines were used to explore the association between bodyweight and GDM. RESULTS A total of 6,598 pregnancies were included. The incidence of GDM was 26.0% (1715/6598). A total of 868 (13.2%) pregnant women were underweight, 665 (10.8%) were overweight, and 145 (2.20%) were obesity. We found a linear dose-response relation between maternal body mass index and GDM by restricted cubic splines, where one unit body mass index increase was associated with the 15% elevated risk of GDM (adjusted odds ratio [OR] 1.15, 95% CI 1.08-1.22). Compared to the normal weight group, maternal underweight was associated with lower risk of GDM (adjusted OR 0.68, 95% CI 0.57-0.82), while increased risk was found for overweight (adjusted OR 1.54 95% CI 1.29-1.84) and obesity (adjusted OR 1.74, 95% CI 1.23-2.47). CONCLUSIONS Our study found a linear dose-effect relationship between pre-pregnancy bodyweight and GDM following ART treatment. The findings in this study support the clinical recommendation of advising women with overweight or obesity to lose weight prior to ART treatment.
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Affiliation(s)
- Yiquan Xiong
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Jing Wang
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Yana Qi
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Chunrong Liu
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Mingxi Li
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Guanhua Yao
- Xiamen Health Commission, Xiamen, 361000, China
| | - Wei Sun
- Xiamen Health Commission, Xiamen, 361000, China
| | | | - Lishan Ye
- Xiamen Health and Medical Big Data Center, Xiamen, 361008, China
| | - Hui Liu
- Xiamen Health and Medical Big Data Center, Xiamen, 361008, China
| | - Qiushi Xu
- Xiamen Health and Medical Big Data Center, Xiamen, 361008, China
| | - Kang Zou
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China
| | - Jing Tan
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China.
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China.
| | - Xin Sun
- Chinese Evidence-Based Medicine Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
- NMPA Key Laboratory for Real World Data Research and Evaluation in Hainan, Chengdu, 610041, China.
- Sichuan Center of Technology Innovation for Real World Data, Chengdu, 610041, China.
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Saurel-Cubizolles MJ, Azria E, Blondel B, Regnault N, Deneux-Tharaux C. Exploring the socioeconomic disparities of maternal body mass index: a national study in France. Eur J Public Health 2022; 32:528-534. [PMID: 35700453 PMCID: PMC9341669 DOI: 10.1093/eurpub/ckac064] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The prevalence of overweight and obesity has increased in various countries. Normal weight before pregnancy is important to protect maternal and newborn health. This study aimed to describe the evolution of body mass index (BMI) before pregnancy in France and explore its association with two measures of socioeconomic status (SES), education and household income. METHODS Data were from four national perinatal surveys in France in 1998, 2003, 2010 and 2016 to describe the time evolution of maternal BMI. We explored the links between BMI and women's characteristics in the most recent period (2010-2016 surveys) since income information was not available before. Risk ratios (RRs) of underweight, overweight and obesity for each measure of SES were computed by using multivariable Poisson regression models. RESULTS Overweight and obesity prevalence increased between 1998 and 2016, from 6% to 12% for obesity. Both were inversely associated with SES (higher prevalence among least educated and poorest women), with strong variations for each social indicator, even in multivariable analyses including both. Combining education and income revealed a wide gradient; RR for obesity was 6.01 (95% confidence interval 4.89-7.38) with low education and income <2000 euros/month vs. high education and income ≥4000 euros/month. CONCLUSIONS Public policies must implement programs to limit the increase in overweight and its unequal distribution in the population, alongside other policies to address the societal determinants of the obesogenic environment. Health professionals need to advise women to improve their eating and physical activity to limit weight gain from childhood to early adulthood.
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Affiliation(s)
- Marie-Josèphe Saurel-Cubizolles
- Université de Paris Cité, Obstetrical Perinatal and Paediatric Epidemiology Research team (EPOPé), CRESS, INSERM, INRA, Paris, France
| | - Elie Azria
- Université de Paris Cité, Obstetrical Perinatal and Paediatric Epidemiology Research team (EPOPé), CRESS, INSERM, INRA, Paris, France.,Notre Dame de Bon Secours Maternity Unit, Paris Saint Joseph Hospital, Paris, France
| | - Béatrice Blondel
- Université de Paris Cité, Obstetrical Perinatal and Paediatric Epidemiology Research team (EPOPé), CRESS, INSERM, INRA, Paris, France
| | - Nolwenn Regnault
- Departement des maladies non transmissibles, Santé Publique France, Saint-Maurice, France
| | - Catherine Deneux-Tharaux
- Université de Paris Cité, Obstetrical Perinatal and Paediatric Epidemiology Research team (EPOPé), CRESS, INSERM, INRA, Paris, France
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Maguire S, Wilson F, Gallagher P, O'Shea F. Central Obesity in Axial Spondyloarthritis: The Missing Link to Understanding Worse Outcomes in Women? J Rheumatol 2022; 49:577-584. [PMID: 35232810 DOI: 10.3899/jrheum.211062] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/04/2022] [Indexed: 06/14/2023]
Abstract
OBJECTIVE To determine (1) the prevalence of central obesity in axial spondyloarthritis (axSpA) and its effect on disease-related outcomes and (2) how this differs between sexes. METHODS Data were extracted from the Ankylosing Spondylitis Registry of Ireland. Patients with physical measurements for the calculation of anthropometric measures were included. BMI and waist-to-hip ratio (WHR) were used to compare classifications of obesity. Comparison analyses based on sex and central obesity were carried out. Multivariate analysis examined the effects of these factors on the following patient-reported outcomes: the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), the Bath Ankylosing Spondylitis Functional Index (BASFI), the Ankylosing Spondylitis Quality of Life (ASQoL) questionnaire, and the Health Assessment Questionnaire (HAQ). RESULTS In total, 753 patients were included in the analysis. Of these patients, 29.6% (n = 223) were classified as obese based on their BMI, and 41.3% (n = 311) were classified as centrally obese according to the WHR. The prevalence of central obesity was significantly higher among women with axSpA compared to men (71.6% vs 29.9%, P < 0.01). Central obesity had a clear effect on patient outcomes, regardless of sex. Presence of central obesity was associated with significantly worse BASFI scores (P < 0.01), HAQ scores (P < 0.01), and ASQoL questionnaire scores (P = 0.01), with a nonsignificant trend toward worse BASDAI scores (P = 0.07). CONCLUSION There was a high prevalence of central obesity as assessed by the WHR in axSpA, most notably among women with axSpA. This modifiable comorbidity was significantly associated with worse quality of life, greater impairment of functional ability, and a trend toward worse disease activity. Regular use of the WHR to screen for central obesity as part of an axSpA assessment would provide an opportunity for prompt identification and intervention for at-risk patients.
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Affiliation(s)
- Sinead Maguire
- S. Maguire, MB, BAO, BCh, MRCPI, F. O'Shea, MB, BAO, BCh, MRCPI, Department of Rheumatology, St James' Hospital, and School of Medicine, Trinity College Dublin;
| | - Fiona Wilson
- F. Wilson, BSc, MSc (Sports Medicine), PhD, Discipline of Physiotherapy, Trinity College Dublin
| | - Phil Gallagher
- P. Gallagher, RGN, Department of Rheumatology, St. Vincent's Hospital, Dublin, Ireland
| | - Finbar O'Shea
- S. Maguire, MB, BAO, BCh, MRCPI, F. O'Shea, MB, BAO, BCh, MRCPI, Department of Rheumatology, St James' Hospital, and School of Medicine, Trinity College Dublin
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25
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Gao K, Chen X, Zhang L, Yao Y, Chen W, Zhang H, Han Y, Xue T, Wang J, Lu L, Zheng M, Qiu X, Zhu T. Associations between differences in anemia-related blood cell parameters and short-term exposure to ambient particle pollutants in middle-aged and elderly residents in Beijing, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 816:151520. [PMID: 34762950 DOI: 10.1016/j.scitotenv.2021.151520] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 10/24/2021] [Accepted: 11/04/2021] [Indexed: 06/13/2023]
Abstract
Anemia is a highly prevalent disease among older populations, with multiple adverse health outcomes, and particles exposure is a potential risk factor for anemia. However, evidence on associations of exposure to particles with small size with anemia-related blood cell parameters levels in the elderly is limited, and the underlying mechanisms are unclear. Based on a panel study in Beijing, we found that in 135 elderly participants, mass concentrations of particle with an aerodynamic diameter ≤ 2.5 μm (PM2.5), black/elemental carbon (BC/EC, particle size range: 0-2.5 μm), and number concentrations of ultrafine particles (UFPs, particle size range: 5.6-93.1 nm) and accumulated mode particles (Acc, size range: 93.1-560 nm) were significantly associated with levels of red blood cell count (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC). The mean ± SD for PM2.5, UFPs, Acc, BC, OC, and EC were 69.7 ± 61.1 μg/m3, 12.5 ± 4.3 × 103/cm3, 1.6 ± 1.2 × 103/cm3, 3.0 ± 2.0 μg/m3, 8.7 ± 6.7 μg/m3, and 2.1 ± 1.6 μg/m3, respectively. Cotinine (higher than 50 ng/mL) is used as an indicator of smoking exposure. The association between MCHC difference and per interquartile range (IQR) increase in average UFPs concentration 14 d before clinical visits was -0.7% (95% CI: -1.1% to -0.3%). Significant associations of UFPs and Acc exposure with MCHC and MCH levels remain robust after adjustment for other pollutants. Furthermore, 25.2% (95% CI: 7.4% to 64.8%) and 29.8% (95% CI: 5.3% to 214.4%) of the difference in MCHC associated with average UFPs and Acc concentrations 14 d before clinical visits were mediated by the level of tumor necrosis factor α (TNF α), a biomarker of systemic inflammation. Our findings for the first time provide the evidence that short-term UFPs and Acc exposure contributed to the damage of anemia-related blood cell in the elderly, and systemic inflammation was a potential internal mediator.
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Affiliation(s)
- Ke Gao
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing, China
| | - Xi Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; GRiC, Shenzhen Institute of Building Research Co., Ltd., Shenzhen, China
| | - Lina Zhang
- Shichahai community health service center, Beijing, China
| | - Yuan Yao
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Wu Chen
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Hanxiyue Zhang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Yiqun Han
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Department of Epidemiology and Biostatistics, MRC Centre for Environment and Health, Imperial College London, London, UK
| | - Tao Xue
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China; Institute of Reproductive and Child Health/Ministry of Health Key Laboratory of Reproductive Health, Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China
| | - Junxia Wang
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Liping Lu
- Key Laboratory of Beijing on Regional Air Pollution Control, College of Environmental and Energy Engineering, Beijing University of Technology, Beijing, China
| | - Mei Zheng
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Xinghua Qiu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China
| | - Tong Zhu
- SKL-ESPC and BIC-ESAT, College of Environmental Sciences and Engineering, Peking University, Beijing, China.
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Langley-Evans SC, Pearce J, Ellis S. Overweight, obesity and excessive weight gain in pregnancy as risk factors for adverse pregnancy outcomes: a narrative review. J Hum Nutr Diet 2022; 35:250-264. [PMID: 35239212 PMCID: PMC9311414 DOI: 10.1111/jhn.12999] [Citation(s) in RCA: 54] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 02/22/2022] [Indexed: 12/01/2022]
Abstract
The global prevalence of overweight and obesity in pregnancy is rising and this represents a significant challenge for the management of pregnancy and delivery. Women who have a pre‐pregnancy body mass index greater than 25 kg m–2 are more likely than those with a body mass index in the ideal range (20–24.99 kg m–2) to have problems conceiving a child and are at greater risk of miscarriage and stillbirth. All pregnancy complications are more likely with overweight, obesity and excessive gestational weight gain, including those that pose a significant threat to the lives of mothers and babies. Labour complications arise more often when pregnancies are complicated by overweight and obesity. Pregnancy is a stage of life when women have greater openness to messages about their lifestyle and health. It is also a time when they come into greater contact with health professionals. Currently management of pregnancy weight gain and the impact of overweight tends to be poor, although a number of research studies have demonstrated that appropriate interventions based around dietary change can be effective in controlling weight gain and reducing the risk of pregnancy complications. The development of individualised and flexible plans for avoiding adverse outcomes of obesity in pregnancy will require investment in training of health professionals and better integration into normal antenatal care. Overweight and obesity before pregnancy and excessive gestational weight gain are major determinants of risk for pregnancy loss, gestational diabetes, hypertensive conditions, labour complications and maternal death. Pregnancy is regarded as a teachable moment when women are at their most receptive to messages about their health. However, unclear guidance on diet and physical activity, weight stigma from health professionals, inexperience and reluctance among professionals about raising issues about weight, and stretched resources put the health of women and babies at risk. Excessive weight gain in pregnancy and post‐partum weight retention compromise future fertility and increase risk for future pregnancies. Large randomised controlled trials have had little success in addressing excessive gestational weight gain or antenatal complications. Individualised, culturally sensitive and responsive interventions appear to have greater success.
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Affiliation(s)
- Simon C Langley-Evans
- School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, LE12 5RD, UK
| | - Jo Pearce
- Food & Nutrition Subject Group, Sheffield Hallam University, Sheffield, UK
| | - Sarah Ellis
- School of Biosciences, University of Nottingham, Sutton Bonington, Loughborough, LE12 5RD, UK
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Barrea L, Vetrani C, Verde L, Frias-Toral E, Garcia-Velasquez E, Ranasinghe P, Mendez V, Jayawardena R, Savastano S, Colao A, Muscogiuri G. Gestational obesity: An unconventional endocrine disruptor for the fetus. Biochem Pharmacol 2022; 198:114974. [PMID: 35202578 DOI: 10.1016/j.bcp.2022.114974] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 02/15/2022] [Accepted: 02/16/2022] [Indexed: 12/16/2022]
Abstract
Obesity has reached pandemic proportions and is a growing concern throughout the world. A parallel trend has also been observed among women in reproductive age, leading to the increasing global prevalence of gestational obesity (GO). The well-known obesity-related health problems also extend to pregnancy, where they are responsible for giving rise to a variety of medical and obstetrical complications, resulting in an increased incidence of adverse maternal and fetal outcomes. In this context, several epidemiological and clinical studies have shown that nutritional changes through different stages of gestation can have a substantial impact on the future health and development of the child. Therefore, it is clear that GO is a modifiable endocrine disruptor that negatively influences the health of the fetus and the newborn, with long-term metabolic implications. This review aims to describe the impact of GO on maternal and fetal outcomes using the available scientific literature and highlighting the evidence-based nutritional approaches currently recommended for the management of GO.
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Affiliation(s)
- Luigi Barrea
- Dipartimento di Scienze Umanistiche, Università Telematica Pegaso, 80143 Napoli, Italy; Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Medical School of Naples, Naples, Italy
| | - Claudia Vetrani
- Dipartimento di Medicina Clinica e Chirurgia, Endocrinology Unit, University Federico II, Italy
| | - Ludovica Verde
- Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Medical School of Naples, Naples, Italy
| | - Evelyn Frias-Toral
- Universidad Católica Santiago de Guayaquil, Av Pdte. Carlos Julio Arosemena Tola, Guayaquil 090615, Ecuador
| | | | - Priyanga Ranasinghe
- Department of Pharmacology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka
| | - Verna Mendez
- Department of Internal Medicine, Hospital General de Zona 49, Mexican Institute of Social Security, Los Mochis, Sinaloa, Mexico
| | - Ranil Jayawardena
- Department of Physiology, Faculty of Medicine, University of Colombo, Colombo, Sri Lanka; Queensland University of Technology (QUT), Faculty of Health, School of Exercise and Nutrition Sciences, Brisbane, Queensland, Australia
| | - Silvia Savastano
- Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Medical School of Naples, Naples, Italy; Dipartimento di Medicina Clinica e Chirurgia, Endocrinology Unit, University Federico II, Italy
| | - Annamaria Colao
- Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Medical School of Naples, Naples, Italy; Dipartimento di Medicina Clinica e Chirurgia, Endocrinology Unit, University Federico II, Italy; Cattedra Unesco "Educazione alla salute e allo sviluppo sostenibile", University Federico II, Italy
| | - Giovanna Muscogiuri
- Centro Italiano per la cura e il Benessere del paziente con Obesità (C.I.B.O), Department of Clinical Medicine and Surgery, Endocrinology Unit, University Medical School of Naples, Naples, Italy; Dipartimento di Medicina Clinica e Chirurgia, Endocrinology Unit, University Federico II, Italy; Cattedra Unesco "Educazione alla salute e allo sviluppo sostenibile", University Federico II, Italy.
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Mora-Janiszewska O, Faryniak-Zuzak A, Darmochwał-Kolarz D. Epigenetic Links between Microbiota and Gestational Diabetes. Int J Mol Sci 2022; 23:1831. [PMID: 35163753 PMCID: PMC8837149 DOI: 10.3390/ijms23031831] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2021] [Revised: 01/29/2022] [Accepted: 02/03/2022] [Indexed: 02/01/2023] Open
Abstract
Gestational diabetes mellitus (GDM) is considered a significant and increasing worldwide problem. The growing body of evidence on this topic has allowed us to point out that a hostile intrauterine environment in mothers with GDM via epigenetic mechanisms induces "diabetogenic" and "obesogenic" changes in an offspring's DNA. This sets a vicious intergenerational cycle of metabolic diseases in motion, gradually deteriorating the health of the human population. One of the most important participants of this process seems to be altered microbiota. There is a chance that the identification of specific epigenetic marks may provide a key for future diagnostic, prognostic and therapeutic solutions in the field of personalised medicine. Given the reversibility of most epigenetic changes, there is an opportunity to improve the long-term health of the human population. In this manuscript, we aim to summarise available data on epigenetic changes among women suffering from GDM and their progeny, in association with alterations in the microbiome.
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The influence of obesity and diet quality on fetal growth and perinatal outcome. NUTR HOSP 2022; 39:1205-1211. [DOI: 10.20960/nh.04076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022] Open
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Xintong L, Dongmei X, Li Z, Ruimin C, Yide H, Lingling C, Tingting C, Yingying G, Jiaxin L. Correlation of body composition in early pregnancy on gestational diabetes mellitus under different body weights before pregnancy. Front Endocrinol (Lausanne) 2022; 13:916883. [PMID: 36387861 PMCID: PMC9649916 DOI: 10.3389/fendo.2022.916883] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 10/13/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE The prediction of gestational diabetes mellitus (GDM) by body composition-related indicators in the first trimester was analyzed under different body mass index (BMI) values before pregnancy. METHODS This was a retrospective analysis of pregnant women who were treated, had documented data, and received regular perinatal care at the Third Affiliated Hospital of Zhengzhou University from January 1, 2021, to December 31, 2021. Women with singleton pregnancies who did not have diabetes before pregnancy were included. In the first trimester (before the 14th week of pregnancy), bioelectric impedance assessment (BIA) was used to analyze body composition-related indicators such as protein levels, mineral levels, fat volume, and the waist-hip fat ratio. The Pearman's correlation coefficient was used to evaluate the linear relationship between the continuous variables and pre-pregnancy body mass index (BMI). In the univariate body composition analysis, the association with the risk of developing GDM was included in a multivariate analysis using the relative risk and 95% confidence interval obtained from logarithmic binomial regression, and generalized linear regression was used for multivariate regression analysis. Furthermore, the area under the curve (AUC) was calculated by receiver operating characteristic (ROC) curves. The optimal cutoff value of each risk factor was calculated according to the Youden Index. RESULTS In a retrospective study consisting of 6698 pregnant women, we collected 1109 cases of gestational diabetes. Total body water (TBW), protein levels, mineral levels, bone mineral content (BMC), body fat mass (BFM), soft lean mass (SLM), fat-free mass (FMM), skeletal muscle mass (SMM), percent body fat (PBF), the waist-hip ratio (WHR), the visceral fat level (VFL), and the basal metabolic rate (BMR) were significantly higher in the GDM group than in the normal group (P<0.05). Under the pre-pregnancy BMI groupings, out of 4157 pregnant women with a BMI <24 kg/m2, 456 (10.97%) were diagnosed with GDM, and out of 2541 pregnant women with a BMI ≥24 kg/m2, 653 (25.70%) were diagnosed with GDM. In the generalized linear regression model, it was found that in all groups of pregnant women, pre-pregnancy BMI, age, gestational weight gain (GWG) in the first trimester, and weight at the time of the BIA had a certain risk for the onset of GDM. In Model 1, without adjusting for confounders, the body composition indicators were all positively correlated with the risk of GDM. In Model 3, total body water, protein levels, mineral levels, bone mineral content, soft lean mass, fat-free mass, skeletal muscle mass, and the basal metabolic rate were protective factors for GDM. After Model 4 was adjusted for confounders, only the waist-hip ratio was positively associated with GDM onset. Among pregnant women with a pre-pregnancy BMI <24 kg/m2, the body composition-related indicators in Model 2 were all related to the onset of GDM. In Model 3, total body water, soft lean mass, fat-free mass, and the basal metabolic rate were negatively correlated with GDM onset. In the body composition analysis of among women with a pre-pregnancy BMI ≥ 24 kg/m2, only Model 1 and Model 2 were found to show positive associations with GDM onset. In the prediction model, in the basic data of pregnant women, the area under the receiver operating characteristic curve predicted by gestational weight gain for GDM was the largest (0.795), and its cutoff value was 1.415 kg. In the body composition results, the area under the receiver operating characteristic curve of body fat mass for predicting GDM risk was larger (0.663) in all pregnant women. CONCLUSIONS Through this retrospective study, it was found that the body composition-related indicators were independently associated with the onset of GDM in both the pre-pregnancy BMI <24 kg/m2 and pre-pregnancy BMI ≥24 kg/m2 groups. Body fat mass, the visceral fat level, and the waist-hip ratio had a higher correlation with pre-pregnancy BMI. Total body water, protein levels, mineral levels, bone mineral content, soft lean mass, fat-free mass, skeletal muscle mass, and the basal metabolic rate were protective factors for GDM after adjusting for some confounders. In all pregnant women, the waist-hip ratio was found to be up to 4.562 times the risk of GDM development, and gestational weight gain had the best predictive power for GDM. Gestational weight gain in early pregnancy, body fat mass, and the waist-hip ratio can assess the risk of GDM in pregnant women, which can allow clinicians to predict the occurrence of GDM in pregnant women as early as possible and implement interventions to reduce adverse perinatal outcomes.
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Affiliation(s)
- Li Xintong
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Xu Dongmei
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- Department of Perinatal Health, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
- *Correspondence: Xu Dongmei,
| | - Zhang Li
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Cao Ruimin
- Department of Obstetrics and Gynecology, Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Hao Yide
- Anesthesiology, Xinxiang Medical University, Xinxiang, China
| | - Cui Lingling
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Chen Tingting
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Guo Yingying
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Li Jiaxin
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou, China
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Akgöl S, Budak MŞ, Oğlak SC, Ölmez F, Dilek ME, Kartal S. Can maternal abdominal fat thickness predict antenatal insulin therapy in patients with gestational diabetes mellitus? J Obstet Gynaecol Res 2021; 48:634-639. [PMID: 34931403 DOI: 10.1111/jog.15128] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 11/13/2021] [Accepted: 12/05/2021] [Indexed: 11/28/2022]
Abstract
PURPOSE This study aimed to investigate the effectiveness of abdominal subcutaneous fat thickness (ASFT) in predicting antenatal insulin therapy (AIT) in patients with gestational diabetes mellitus (GDM). METHODS A prospective study was conducted on patients with regulated blood sugar levels (n = 50) and those with unregulated blood sugar (n = 50) although medical nutrition therapy (MNT) was initiated and then AIT was applied. Using receiver operator characteristic (ROC) curve analysis, appropriate ASFT cut-off point values were found for the prediction of cases that required AIT after MNT in GDM pregnancies. RESULTS Patients with GDM who needed AIT had a significantly higher ASFT value compared to those with GDM who did not need AIT. The optimal ASFT cutoff was 21.7 mm in predicting cases that required AIT after MNT (sensitivity, specificity, negative, and positive predictive values were 68.0%, 64.0%, 65.8%, and 66.6%, respectively). The risk of AIT increased 3.77-fold in those with ASFT > 21.7 mm in GDM pregnancies (p = 0.001). CONCLUSION The ASFT value was significantly higher in cases with GDM, with blood glucose levels not regulated despite MNT and AIT being then needed, compared to patients with blood glucose levels regulated by MNT, and who did not need AIT. Also, patients requiring AIT can be determined with moderate to high sensitivity and specificity using a cut-off value of ASFT > 21.7 mm. The ASFT > 21.7 mm cut-off point was seen to be more effective than BMI ≥ 30 kg/m2 in the determination of cases where AIT is required.
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Affiliation(s)
- Sedat Akgöl
- Department of Obstetrics and Gynecology, Başakşehir Çam and Sakura City Hospital, Istanbul, Turkey
| | - Mehmet Şükrü Budak
- Department of Obstetrics and Gynecology, Private Can Hospital, Izmir, Turkey
| | - Süleyman Cemil Oğlak
- Department of Obstetrics and Gynecology, Health Sciences University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey
| | - Fatma Ölmez
- Department of Obstetrics and Gynecology, Health Sciences University, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul, Turkey
| | - Mehmet Emin Dilek
- Department of Internal Medicine, Health Sciences University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey
| | - Serhat Kartal
- Department of Radiology, Health Sciences University, Gazi Yaşargil Training and Research Hospital, Diyarbakır, Turkey
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Behravesh M, Fernandez-Tajes J, Estampador AC, Varga TV, Gunnarsson ÓS, Strevens H, Timpka S, Franks PW. A prospective study of the relationships between movement and glycemic control during day and night in pregnancy. Sci Rep 2021; 11:23911. [PMID: 34903782 PMCID: PMC8668873 DOI: 10.1038/s41598-021-03257-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 11/23/2021] [Indexed: 12/02/2022] Open
Abstract
Both disturbed sleep and lack of exercise can disrupt metabolism in pregnancy. Accelerometery was used to objectively assess movement during waking (physical activity) and movement during sleeping (sleep disturbance) periods and evaluated relationships with continuous blood glucose variation during pregnancy. Data was analysed prospectively. 15-women without pre-existing diabetes mellitus wore continuous glucose monitors and triaxial accelerometers from February through June 2018 in Sweden. The relationships between physical activity and sleep disturbance with blood glucose rate of change were assessed. An interaction term was fitted to determine difference in the relationship between movement and glucose variation, conditional on waking/sleeping. Total movement was inversely related to glucose rate of change (p < 0.001, 95% CI (− 0.037, − 0.026)). Stratified analyses showed total physical activity was inversely related to glucose rate of change (p < 0.001, 95% CI (− 0.040, − 0.028)), whereas sleep disturbance was not related to glucose rate of change (p = 0.07, 95% CI (< − 0.001, 0.013)). The interaction term was positively related to glucose rate of change (p < 0.001, 95% CI (0.029, 0.047)). This study provides temporal evidence of a relationship between total movement and glycemic control in pregnancy, which is conditional on time of day. Movement is beneficially related with glycemic control while awake, but not during sleep.
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Affiliation(s)
- Masoud Behravesh
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35 214 28, Malmö, Sweden
| | - Juan Fernandez-Tajes
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35 214 28, Malmö, Sweden
| | - Angela C Estampador
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35 214 28, Malmö, Sweden
| | - Tibor V Varga
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35 214 28, Malmö, Sweden.,Section of Epidemiology, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Ómar S Gunnarsson
- Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö and Lund, Sweden.,Perinatal and Cardiovascular Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Helena Strevens
- Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö and Lund, Sweden
| | - Simon Timpka
- Department of Obstetrics and Gynecology, Skåne University Hospital, Malmö and Lund, Sweden.,Perinatal and Cardiovascular Epidemiology, Department of Clinical Sciences, Lund University, Malmö, Sweden
| | - Paul W Franks
- Genetic & Molecular Epidemiology Unit, Department of Clinical Sciences, Lund University, Jan Waldenströms gata 35 214 28, Malmö, Sweden. .,Harvard TH Chan School of Public Health, Boston, MA, USA.
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Sinha N, Lydia Walker G, Sen A. Looking at the Future Through the Mother's Womb: Gestational Diabetes and Offspring Fertility. Endocrinology 2021; 162:6379047. [PMID: 34597389 PMCID: PMC8520322 DOI: 10.1210/endocr/bqab209] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Indexed: 12/12/2022]
Abstract
Altered nutrition or intrauterine exposure to various adverse conditions during fetal development or earlier in a mother's life can lead to epigenetic changes in fetal tissues, predisposing those tissues to diseases that manifest when offspring become adults. An example is a maternal obesity associated with gestational diabetes (GDM), where fetal exposure to a hyperglycemic, hyperinsulinemic, and/or hyperlipidemic gestational environment can provoke epigenetic changes that predispose offspring to various diseased conditions later in life. While it is now well established that offspring exposed to GDM have an increased risk of developing obesity, metabolic disorders, and/or cardiovascular disease in adult life, there are limited studies assessing the reproductive health of these offspring. This mini-review discusses the long-term effect of in utero exposure to GDM-associated adverse prenatal environment on the reproductive health of the offspring. Moreover, using evidence from various animal models and human epidemiological studies, this review offers molecular insight and understanding of how epigenetic reprogramming of genes culminates in reproductive dysfunction and the development of subfertility or infertility later in adult life.
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Affiliation(s)
- Niharika Sinha
- Reproductive and Developmental Sciences Program, East Lansing, Michigan 48824, USA
- Department of Animal Sciences, Michigan State University, East Lansing, Michigan 48824, USA
| | - Gretchen Lydia Walker
- Reproductive and Developmental Sciences Program, East Lansing, Michigan 48824, USA
- Department of Animal Sciences, Michigan State University, East Lansing, Michigan 48824, USA
| | - Aritro Sen
- Reproductive and Developmental Sciences Program, East Lansing, Michigan 48824, USA
- Department of Animal Sciences, Michigan State University, East Lansing, Michigan 48824, USA
- Correspondence: Aritro Sen, PhD, Reproductive and Developmental Sciences Program, 3013 Interdisciplinary Science & Technology Building, Michigan State University, 766 Service Rd, East Lansing, MI 48824, USA.
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Abdalla MMI. Salivary resistin level and its association with insulin resistance in obese individuals. World J Diabetes 2021; 12:1507-1517. [PMID: 34630903 PMCID: PMC8472494 DOI: 10.4239/wjd.v12.i9.1507] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2021] [Revised: 05/11/2021] [Accepted: 07/15/2021] [Indexed: 02/06/2023] Open
Abstract
The escalating global burden of type 2 diabetes mellitus necessitates the implementation of strategies that are both more reliable and faster in order to improve the early identification of insulin resistance (IR) in high-risk groups, including overweight and obese individuals. The use of salivary biomarkers offers a promising alternative to serum collection because it is safer, more comfortable, and less painful to obtain saliva samples. As obesity is the foremost contributory factor in IR development, the adipocytokines such as leptin, adiponectin, resistin, and visfatin secreted from the adipose tissue have been studied as potential reliable biomarkers for IR. Measurement of salivary adipokines as predictors for IR has attracted widespread attention because of the strong correlation between their blood and salivary concentrations. One of the adipokines that is closely related to IR is resistin. However, there are conflicting findings on resistin’s potential role as an etiological link between obesity and IR and the reliability of measuring salivary resistin as a biomarker for IR. Hence this study reviewed the available evidence on the potential use of salivary resistin as a biomarker for IR in order to attempt to gain a better understanding of the role of resistin in the development of IR in obese individuals.
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Alwash SM, McIntyre HD, Mamun A. The association of general obesity, central obesity and visceral body fat with the risk of gestational diabetes mellitus: Evidence from a systematic review and meta-analysis. Obes Res Clin Pract 2021; 15:425-430. [PMID: 34391692 DOI: 10.1016/j.orcp.2021.07.005] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [Revised: 07/15/2021] [Accepted: 07/27/2021] [Indexed: 12/18/2022]
Abstract
BACKGROUND Studies consistently reported that general obesity predicts gestational diabetes mellitus (GDM). However, whether other phenotypes of obesity such as central obesity and visceral adiposity might have differential associations as risk factors of GDM are less known. The objective of this study was to investigate the association of all these obesity phenotypes in developing GDM. METHODS PubMed, CINHAL, Embase, Scopus, Google Scholar and Web of Science were searched. Full-text research articles published in English from 1985 to February 2020 with cohort and cross-sectional studies design and reported an association between obesity and GDM were included. Case-control studies, case reports, conference abstract, women with previous metabolic disorders and articles considered general obesity only were excluded. A bias adjusted-quality effect meta-analysis was conducted to evaluate the association of these obesity phenotypes and GDM risk. RESULTS Twenty studies met the inclusion criteria representing data of ∼50 thousand women at the reproductive age with ∼7% prevalence of GDM. Meta-analysis of 14 datasets revealed that the three types of obesity were significantly associated with an increased risk of GDM. In addition, visceral adiposity was a stronger risk factor for GDM than other obesity phenotypes (odd ratio = 3.25, 95% confidence interval = 2.01-5.26) versus (odd ratio = 2.73, 95% confidence interval = 2.20-3.38) for general obesity and (odd ratio = 2.53, 95% confidence interval = 2.04-3.14) for central obesity. CONCLUSION The findings of this study suggest that general obesity, central obesity and visceral body fat were associated with an increased risk of GDM. Furthermore, the association with maternal visceral adiposity was more robust compared to general obesity and central obesity.
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Affiliation(s)
- Sura M Alwash
- Institute for Social Science Research (ISSR), University of Queensland, Brisbane, Australia.
| | - H David McIntyre
- Mater Research, University of Queensland, South Brisbane, Australia
| | - Abdullah Mamun
- Institute for Social Science Research (ISSR), University of Queensland, Brisbane, Australia
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Kandel P, Lim S, Pirotta S, Skouteris H, Moran LJ, Hill B. Enablers and barriers to women's lifestyle behavior change during the preconception period: A systematic review. Obes Rev 2021; 22:e13235. [PMID: 33754474 DOI: 10.1111/obr.13235] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 02/24/2021] [Indexed: 12/16/2022]
Abstract
Healthy lifestyle behaviors during the preconception period are important to optimize maternal and child outcomes, including weight. However, the majority of women do not have optimal preconception lifestyle behaviors. This systematic review explored enablers and barriers to women's preconception lifestyle behaviors using the Capability, Opportunity, Motivation, Behaviour (COM-B) model and Theoretical Domains Framework (TDF). Preconception was defined as the time before conception, capturing planned and unplanned pregnancies. Medline Complete, EMBASE, PsycINFO, and CINAHL were searched for peer-reviewed, quantitative and qualitative primary studies (English, 2006-2020) that explored enablers and barriers to lifestyle behaviors (diet, physical activity, smoking, alcohol use, supplement intake). Forty-two studies (of 3406) were included, assessing supplement use (n = 37), diet (n = 10), smoking (n = 10), alcohol use (n = 8), and physical activity (n = 5). All three COM-B components were identified only for diet and supplement use. Of the 14 TDF domains, 7 were identified: knowledge, beliefs about capabilities, beliefs about consequences, goals, intentions, social support, and environmental context and resources. The presence/absence of knowledge on healthy behaviors was the most commonly assessed enabler/barrier. Future studies should explore a wider range of factors influencing preconception women's capability, opportunity, and motivation to modify their lifestyle behaviors.
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Affiliation(s)
- Pragya Kandel
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Siew Lim
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Stephanie Pirotta
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Helen Skouteris
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Warwick Business School, University of Warwick, Coventry, UK
| | - Lisa J Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Briony Hill
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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Lewandowska M. Gestational Diabetes Mellitus (GDM) Risk for Declared Family History of Diabetes, in Combination with BMI Categories. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18136936. [PMID: 34203509 PMCID: PMC8293805 DOI: 10.3390/ijerph18136936] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Revised: 06/15/2021] [Accepted: 06/24/2021] [Indexed: 12/20/2022]
Abstract
Whether categories of family history of diabetes can act as independent risk factors for gestational diabetes mellitus (GDM-1, -2) has not yet been established, and neither has it been established how categories of body mass index (BMI) affect these relationships. A group of 912 women without chronic diseases, recruited in the first trimester, was investigated: 125 (13.7%) women developed GDM-1 (treated with diet); 21 (2.3%) women developed GDM-2 (treated with insulin); and a control group consisted of 766 non-diabetic women. A multiple logistic regression was used to evaluate adjusted odds ratios (AOR (95% confidence intervals)) of GDM-1 and GDM-2 for declared diabetes in the parents or grandparents (separately). These relationships were investigated in the whole cohort and subgroups of pre-pregnancy BMI. (1) Some categories of the family history were independent risk factors of GDM-1 or GDM-2. Compared to ‘absence of diabetes in the family’, women with diabetes in the father had a 3.68-fold increase in GDM-1 risk (AOR-b = 3.68 (2.23–6.07)), and women with diabetes in the mother had a 2.13-fold increase in GDM-1 risk (AOR-b = 2.13 (1.1–4.14)) and a 4.73-fold increase in GDM-2 risk (AOR-b = 4.73 (1.26–17.77)). Women with diabetes in the grandmother had a 2.34-fold increase in GDM-1 risk (AOR-b = 2.34 (1.29–4.24)). (2) The cumulative assessment of diabetes in the parents and/or grandparents was not related to the intensification of the risk of GDM, except for the increased risk of GDM-1 for diabetes in both mother and grandmothers simultaneously (AOR-b = 8.80 (1.16–66.57)), however, this group was very small. (3) The analyses in the subgroups of BMI categories showed that diabetes in the father was also an independent risk factor of GDM in the subgroup of pregnant women with normal BMI. In the subgroups of overweight and/or obesity, the risk of GDM for paternal and maternal diabetes was approximately twice as high as compared to the results of pregnant women with normal BMIs. Additionally, apart from the maternal influence of diabetes, the results suggest a significant influence of diabetes in the father on the risk of GDM, even (interestingly) in lean pregnant women.
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Affiliation(s)
- Małgorzata Lewandowska
- Medical Faculty, Lazarski University, 02-662 Warsaw, Poland;
- Division of Gynecological Surgery, University Hospital, 60-535 Poznan, Poland
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Association of pre- and early-pregnancy factors with the risk for gestational diabetes mellitus in a large Chinese population. Sci Rep 2021; 11:7335. [PMID: 33795771 PMCID: PMC8016847 DOI: 10.1038/s41598-021-86818-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 03/19/2021] [Indexed: 02/07/2023] Open
Abstract
Gestational diabetes mellitus (GDM) has aroused wide public concern, as it affects approximately 1.8-25.1% of pregnancies worldwide. This study aimed to examine the association of pre-pregnancy demographic parameters and early-pregnancy laboratory biomarkers with later GDM risk, and further to establish a nomogram prediction model. This study is based on the big obstetric data from 10 "AAA" hospitals in Xiamen. GDM was diagnosed according to the International Association of Diabetes and Pregnancy Study Group (IADPSG) criteria. Data are analyzed using Stata (v14.1) and R (v3.5.2). Total 187,432 gestational women free of pre-pregnancy diabetes mellitus were eligible for analysis, including 49,611 women with GDM and 137,821 women without GDM. Irrespective of confounding adjustment, eight independent factors were consistently and significantly associated with GDM, including pre-pregnancy body mass index (BMI), pre-pregnancy intake of folic acid, white cell count, platelet count, alanine transaminase, albumin, direct bilirubin, and creatinine (p < 0.001). Notably, per 3 kg/m2 increment in pre-pregnancy BMI was associated with 22% increased risk [adjusted odds ratio (OR) 1.22, 95% confidence interval (CI) 1.21-1.24, p < 0.001], and pre-pregnancy intake of folic acid can reduce GDM risk by 27% (adjusted OR 0.73, 95% CI 0.69-0.79, p < 0.001). The eight significant factors exhibited decent prediction performance as reflected by calibration and discrimination statistics and decision curve analysis. To enhance clinical application, a nomogram model was established by incorporating age and above eight factors, and importantly this model had a prediction accuracy of 87%. Taken together, eight independent pre-/early-pregnancy predictors were identified in significant association with later GDM risk, and importantly a nomogram modeling these predictors has over 85% accuracy in early detecting pregnant women who will progress to GDM later.
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Hill B, Awoke MA, Bergmeier H, Moran LJ, Mishra GD, Skouteris H. Lifestyle and Psychological Factors of Women with Pregnancy Intentions Who Become Pregnant: Analysis of a Longitudinal Cohort of Australian Women. J Clin Med 2021; 10:725. [PMID: 33673138 PMCID: PMC7918004 DOI: 10.3390/jcm10040725] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2020] [Revised: 02/04/2021] [Accepted: 02/08/2021] [Indexed: 12/22/2022] Open
Abstract
Preconception lifestyle and psychological factors are associated with maternal and offspring outcomes. Both are important considerations for women planning pregnancy. The aim of this study was to explore associations between lifestyle/psychological factors and long-term pregnancy intentions in women who go on to become pregnant. Data from the cohort born 1973-1978 from the Australian Longitudinal Study of Women's Health were utilised. Women were included if they had a new pregnancy occurring between Waves 3 and 5, resulting in 2203 women for analysis. Long-term pregnancy intentions (aspirations for children in 5-10 years), demographic, anthropometric, lifestyle (sedentary behaviour, physical activity, diet quality, smoking, alcohol use), and psychological factors (depression, anxiety, stress) were assessed at Wave 3. Multivariable logistic regression was employed to evaluate the associations between pregnancy intentions and lifestyle/psychological factors, adjusting for other explanatory variables. Younger age and being married were associated positively with pregnancy intentions, while living with obesity was associated negatively with pregnancy intentions. No lifestyle or psychological factors were significantly associated with pregnancy intentions. Our findings highlight potential opportunities to identify women who have longer-term pregnancy intentions during clinical care, offering a pivotal moment for preconception care relating to lifestyle health, psychological wellbeing, and family planning.
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Affiliation(s)
- Briony Hill
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton 3168, Australia; (M.A.A.); (H.B.); (L.J.M.); (H.S.)
| | - Mamaru A. Awoke
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton 3168, Australia; (M.A.A.); (H.B.); (L.J.M.); (H.S.)
| | - Heidi Bergmeier
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton 3168, Australia; (M.A.A.); (H.B.); (L.J.M.); (H.S.)
| | - Lisa J. Moran
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton 3168, Australia; (M.A.A.); (H.B.); (L.J.M.); (H.S.)
| | - Gita D. Mishra
- School of Public Health, Faculty of Medicine, University of Queensland, 288 Herston Road, Herston, Brisbane 4006, Australia;
| | - Helen Skouteris
- Monash Centre for Health Research and Implementation, School of Public Health and Preventive Medicine, Monash University, 43-51 Kanooka Grove, Clayton 3168, Australia; (M.A.A.); (H.B.); (L.J.M.); (H.S.)
- Warwick Business School, Warwick University, Scarman Rd., Coventry CV4 7AL, UK
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40
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Mecacci F, Lisi F, Vannuccini S, Ottanelli S, Rambaldi MP, Serena C, Simeone S, Petraglia F. Different Gestational Diabetes Phenotypes: Which Insulin Regimen Fits Better? Front Endocrinol (Lausanne) 2021; 12:630903. [PMID: 33767671 PMCID: PMC7985539 DOI: 10.3389/fendo.2021.630903] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 01/18/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Maternal characteristics and OGTT values of pregnancies complicated by gestational diabetes mellitus (GDM) were evaluated according to treatment strategies. The goal was to identify different maternal phenotypes in order to predict the appropriate treatment strategy. METHODS We conducted a retrospective study among 1,974 pregnant women followed up for GDM in a tertiary referral hospital for high-risk pregnancies (Careggi University Hospital, Florence, Italy) from 2013 to 2018. We compared nutritional therapy (NT) alone (n = 962) versus NT and insulin analogues (n = 1,012) group. Then, we focused on different insulin analogues groups: long acting (D), rapid acting (R), both D and R. We compared maternal characteristics of the three groups, detecting which factors may predict the use of rapid or long-acting insulin analogue alone versus combined therapy. RESULTS Among women included in the analysis, 51.3% of them needed insulin therapy for glycemic control: 61.8% D, 28.3% combined D and R, and 9.9% R alone. Age >35 years, pre-pregnancy BMI >30, family history of diabetes, previous GDM, altered fasting plasma glucose (FPG), hypothyroidism, and assisted reproductive technologies (ART) were identified as maternal variables significantly associated with the need of insulin therapy. Altered 1-h and 2-h glucose plasma glucose level at OGTT, age >35 years, and previous GDM were found as independent predicting factors for the use of combined therapy with rapid and long acting analogues for glycemic control. On the contrary, pre-pregnancy BMI <25 and normal fasting plasma glucose values at OGTT were found to be significantly associated to the use of rapid insulin analogue only. CONCLUSION A number of maternal and metabolic variables may be identified at the diagnosis of GDM, in order to identify different GDM phenotypes requiring a personalized treatment for glycemic control.
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Affiliation(s)
- Federico Mecacci
- Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Careggi University Hospital, Florence, Italy
- High Risk Pregnancy Unit, Careggi University Hospital, Florence, Italy
| | - Federica Lisi
- Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Careggi University Hospital, Florence, Italy
| | - Silvia Vannuccini
- High Risk Pregnancy Unit, Careggi University Hospital, Florence, Italy
- Department of Molecular and Developmental Medicine, University of Siena, Siena, Italy
- *Correspondence: Silvia Vannuccini,
| | - Serena Ottanelli
- High Risk Pregnancy Unit, Careggi University Hospital, Florence, Italy
| | | | - Caterina Serena
- High Risk Pregnancy Unit, Careggi University Hospital, Florence, Italy
| | - Serena Simeone
- High Risk Pregnancy Unit, Careggi University Hospital, Florence, Italy
| | - Felice Petraglia
- Department of Biomedical, Experimental and Clinical Sciences, University of Florence, Careggi University Hospital, Florence, Italy
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41
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Fetal and Placental Weight in Pre-Gestational Maternal Obesity (PGMO) vs. Excessive Gestational Weight Gain (EGWG)-A Preliminary Approach to the Perinatal Outcomes in Diet-Controlled Gestational Diabetes Mellitus. J Clin Med 2020; 9:jcm9113530. [PMID: 33142800 PMCID: PMC7693942 DOI: 10.3390/jcm9113530] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 10/24/2020] [Accepted: 10/28/2020] [Indexed: 12/15/2022] Open
Abstract
Both pre-gestational maternal obesity (PGMO) and excessive gestational weight gain (EGWG) increase the risk of gestational diabetes mellitus (GDM). Here, we conducted a retrospective study to comparatively examine the relation between fetal birth weight (FW) and placental weight (PW) in PGMO (n = 100) compared to EGWG (n = 100) with respect to perinatal outcomes in diet-controlled GDM. The control group was made up of 100 healthy pregnancies. The mean FW and the mean PW in EGWG were correlated with lowered fetal weight/placental weight ratio (FW/PW ratio). The percentage of births completed by cesarean section accounted for 47%, 32%, and 18% of all deliveries (EGWG, PGMO, and controls, respectively), with the predominance of FW-related indications for cesarean section. Extended postpartum hospital stays due to neonate were more frequent in EGWG, especially due to neonatal jaundice (p < 0.05). The results indicate the higher perinatal risk in mothers with EGWG compared to PGMO during GDM-complicated pregnancy. Further in-depth comparative studies involving larger patient pools are needed to validate these findings, the intent of which is to formulate guidelines for GDM patients in respect to management of PGMO and EGWG.
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McAuliffe FM, Killeen SL, Jacob CM, Hanson MA, Hadar E, McIntyre HD, Kapur A, Kihara AB, Ma RC, Divakar H, Hod M. Management of prepregnancy, pregnancy, and postpartum obesity from the FIGO Pregnancy and Non-Communicable Diseases Committee: A FIGO (International Federation of Gynecology and Obstetrics) guideline. Int J Gynaecol Obstet 2020; 151 Suppl 1:16-36. [PMID: 32894590 PMCID: PMC7590083 DOI: 10.1002/ijgo.13334] [Citation(s) in RCA: 58] [Impact Index Per Article: 14.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Fionnuala M McAuliffe
- UCD Perinatal Research Centre, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Sarah Louise Killeen
- UCD Perinatal Research Centre, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - Chandni Maria Jacob
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Mark A Hanson
- Institute of Developmental Sciences, Faculty of Medicine, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University Hospital Southampton, Southampton, UK
| | - Eran Hadar
- Maternal-Fetal Medicine Unit, Rabin Medical Center, Petach-Tikva, Israel.,Sackler Faculty of Medicine, Tel Aviv University, Tel-Aviv, Israel
| | - H David McIntyre
- Mater Research, The University of Queensland, South Brisbane, Qld, Australia
| | - Anil Kapur
- World Diabetes Foundation, Bagsvaerd, Denmark
| | - Anne B Kihara
- African Federation of Obstetricians and Gynaecologists, Khartoum, Sudan.,Department of Obstetrics and Gynecology, School of Medicine, University of Nairobi, Nairobi, Kenya
| | - Ronald C Ma
- Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong SAR, China.,Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Hong Kong SAR, China
| | | | - Moshe Hod
- Mor Comprehensive Women's Health Care Center, Tel Aviv, Israel.,FIGO Pregnancy and Non-Communicable Diseases Committee, International Federation of Gynecology and Obstetrics, London, UK
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43
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Pre-Pregnancy Obesity, Excessive Gestational Weight Gain, and the Risk of Pregnancy-Induced Hypertension and Gestational Diabetes Mellitus. J Clin Med 2020; 9:jcm9061980. [PMID: 32599847 PMCID: PMC7355601 DOI: 10.3390/jcm9061980] [Citation(s) in RCA: 64] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Revised: 06/07/2020] [Accepted: 06/19/2020] [Indexed: 12/17/2022] Open
Abstract
Excessive pre-pregnancy weight is a known risk factor of pregnancy complications. The purpose of this analysis was to assess the relationship between several categories of maternal weight and the risk of developing hypertension and diabetes in pregnancy, and the relationship of these complications with the results of the newborn. It was carried out in a common cohort of pregnant women and taking into account the influence of disturbing factors. Our analysis was conducted in a prospective cohort of 912 Polish pregnant women, recruited during 2015-2016. We evaluated the women who subsequently developed diabetes with dietary modification (GDM-1) (n = 125) and with insulin therapy (GDM-2) (n = 21), as well as the women who developed gestational hypertension (GH) (n = 113) and preeclampsia (PE) (n = 24), compared to the healthy controls. Odds ratios of the complications (and confidence intervals (95%)) were calculated in the multivariate logistic regression. In the cohort, 10.8% of the women had pre-pregnancy obesity (body mass index (BMI) ≥ 30 kg/m2), and 36.8% had gestational weight gain (GWG) above the range of the Institute of Medicine recommendation. After correction for excessive GWG and other confounders, pre-pregnancy obesity (vs. normal BMI) was associated with a higher odds ratio of GH (AOR = 4.94; p < 0.001), PE (AOR = 8.61; p < 0.001), GDM-1 (AOR = 2.99; p < 0.001), and GDM-2 (AOR = 11.88; p <0.001). The threshold risk of development of GDM-2 occurred at lower BMI values (26.9 kg/m2), compared to GDM-1 (29.1 kg/m2). The threshold point for GH was 24.3 kg/m2, and for PE 23.1 kg/m2. For GWG above the range (vs. GWG in the range), the adjusted odds ratios of GH, PE, GDM-1, and GDM-2 were AOR = 1.71 (p = 0.045), AOR = 1.14 (p = 0.803), AOR = 0.74 (p = 0.245), and AOR = 0.76 (p = 0.672), respectively. The effect of maternal edema on all the results was negligible. In our cohort, hypertension and diabetes were associated with incorrect birth weight and gestational age at delivery. Conclusions: This study highlights the importance and influence of excessive pre-pregnancy maternal weight on the risk of pregnancy complications such as diabetes and hypertension which can impact fetal outcomes.
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