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Harville EW, Hakala JO, Rovio SP, Pahkala K, Raitakari O, Lehtimäki T. Trajectories of cardiovascular risk predict pregnancy outcomes: The Bogalusa Heart Study and the Cardiovascular Risk in Young Finns Study. Paediatr Perinat Epidemiol 2024; 38:168-179. [PMID: 37432549 PMCID: PMC10782826 DOI: 10.1111/ppe.12995] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/27/2022] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/12/2023]
Abstract
BACKGROUND Life course patterns of change in risk-trajectories-affect health. OBJECTIVES To examine how trajectories of cardiovascular risk factors are associated with pregnancy and birth outcomes. METHODS Data from two cohort studies participating in the International Childhood Cardiovascular Consortium-The Bogalusa Heart Study (BHS; started in 1973, N = 903 for this analysis) and the Cardiovascular Risk in Young Finns Study (YFS; started in 1980, N = 499) were used. Both followed children into adulthood and measured cardiovascular risk factors, including body mass index (BMI), systolic and diastolic blood pressure (SBP/DBP), total, lipoprotein (LDL)- and high density lipoprotein (HDL)-cholesterol and serum triglycerides. Discrete mixture modelling was used to divide each cohort into distinct trajectories according to these risk factors from childhood to early adulthood, and these groups were then used to predict pregnancy outcomes including small for gestational age (SGA; <10th study-specific percentile of gestational age by sex), preterm birth (PTB; <37 weeks' gestation), hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM), with control for age at baseline and at first birth, parity, socioeconomic status, BMI and smoking. RESULTS The models created more trajectories for BMI, SBP and HDL-cholesterol in the YFS than in BHS, for which three classes generally seemed to be sufficient to represent the groups in the population across risk factors. In BHS, the association between the higher and flatter DBP trajectory and PTB was aRR 1.77, 95% confidence interval [CI] 1.06, 2.96. In BHS the association between consistent total cholesterol and PTB was aRR 2.16, 95% CI 1.22, 3.85 and in YFS the association between elevated high trajectory and PTB was aRR 3.35, 95% CI 1.28, 8.79. Elevated-increasing SBP was associated with a higher risk of GH in BHS and increasing or persistent-obese BMI trajectories were associated with GDM in both cohorts (BHS: aRR 3.51, 95% CI 1.95, 6.30; YFS: aRR 2.61, 95% CI 0.96, 7.08). CONCLUSIONS Trajectories of cardiovascular risk, particularly those that represent a consistent or more rapid worsening of cardiovascular health, are associated with a higher risk of pregnancy complications.
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Juuso O. Hakala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Suvi P. Rovio
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Katja Pahkala
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
- Paavo Nurmi Centre, Sports & Exercise Medicine Unit, Department of Physical Activity and Health, University of Turku, Turku, Finland
| | - Olli Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Finnish Cardiovascular Research Center - Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere 33520 Finland
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Xiong W, Han L, Tang X, Wang Q, Chen W, Li R, Zhang H, Liu X, Nie H, Qin W, Hu Y, Zhang Z, Ling L. Association of maternal preconception blood pressure with preterm birth: a population-based cohort study. Hypertens Res 2024; 47:467-477. [PMID: 37907599 DOI: 10.1038/s41440-023-01483-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2023] [Revised: 09/30/2023] [Accepted: 10/03/2023] [Indexed: 11/02/2023]
Abstract
The association between maternal preconception blood pressure (BP) and preterm birth (PTB) is still unclear. The purpose of this study was to investigate the association between maternal preconception BP and PTB. This population-based cohort study included 715 984 Chinese women aged 20-49 years who participated in the National Free Preconception Health Examination Project and successfully had a singleton livebirth during 2014-2019 in Guangdong Province, China. Maternal preconception BP were measured by trained health workers. Multivariate logistic regression models and restricted cubic spline regressions were used to examine the association and dose-response relationship between maternal preconception BP and PTB, respectively. Maternal preconception hypertension was associated with the increased risk of PTB (adjusted odds ratios (aOR): 1.24; 95% CI: 1.14-1.34). Compared to women with normal preconception BP, the aORs for PTB were 1.09 (95% CI: 1.06-1.12), 1.24 (95% CI: 1.13-1.36), and 1.43 (95% CI: 1.15-1.79) for women with preconception elevated BP (120-139/ 80-89 mmHg, stage-1 hypertension (140-159/ 90-99 mmHg, and stage-2 hypertension (160-179/100-109 mmHg), respectively. According to the 2017 American College of Cardiology/American Heart Association criteria, maternal preconception elevated BP and hypertension were also significantly associated with an increased risk of PTB. Preconception systolic and diastolic BP showed a U-shaped (χ2 = 40.54; nonlinear P < 0.001) and linear (χ2 = 6.62; nonlinear P = 0.085) dose-response relationship with PTB, respectively. The association was modified by maternal age and preconception body mass index. These findings identify maternal preconception elevated BP and hypertension as a modifiable risk factor for PTB, providing evidence for future research studies, public health and clinical interventions.
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Affiliation(s)
- Wenxue Xiong
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Lu Han
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China.
| | - Xijia Tang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Qiong Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Wen Chen
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Rui Li
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Hui Zhang
- Department of Health Policy and Management, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Xiaohua Liu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Hua Nie
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Weibing Qin
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Yang Hu
- NHC Key Laboratory of Male Reproduction and Genetics, Guangdong Provincial Reproductive Science Institute (Guangdong Provincial Fertility Hospital), Guangzhou, China
| | - Zhirong Zhang
- School of Mathematics, Sun Yat-sen University, Guangzhou, Guangdong, China
| | - Li Ling
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, China.
- Clinical Research Design Division, Clinical Research Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
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Lindberger E, Ahlsson F, Junus K, Wikström AK, Sundström Poromaa I. Combined maternal central adiposity measures in relation to infant birth size. Sci Rep 2024; 14:725. [PMID: 38184682 PMCID: PMC10771412 DOI: 10.1038/s41598-024-51274-6] [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: 08/29/2023] [Accepted: 01/03/2024] [Indexed: 01/08/2024] Open
Abstract
Improvement of prenatal identification of large-for-gestational-age (LGA) infants could lower the risk for adverse outcomes. Therefore, we sought to evaluate the association of a combination of maternal waist circumference (WC) and abdominal fat depths with infant birth size. A cohort study including 1240 women was performed between 2015 and 2018 at Uppsala University Hospital, Sweden. Maternal WC was measured at the first antenatal visit, and visceral (VF) and subcutaneous (SCF) fat depths by ultrasound at the second-trimester anomaly scan. Waist circumference, VF, and SCF were categorized as low or high (cut-offs WC ≥ 88 cm, VF ≥ 54 mm, SCF ≥ 21 mm). Outcomes were birth weight standard deviation score (BWSDS) and LGA (BWSDS > 90th and > 97th percentile). Secondary outcome was small-for-gestational-age (SGA, BWSDS < 10th and < 3rd percentile). Univariate analysis of variance and logistic regression analyses were performed adjusted for maternal weight, height, parity, smoking, country of birth, pregestational diabetes, and chronic hypertension. For both high and low WC, high VF was positively associated with BWSDS and LGA. There was no association with SGA. The results did not demonstrate any value of the combination of WC and fat depth measures in predicting infant birth size but suggested VF as a marker for large infants.
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Affiliation(s)
- Emelie Lindberger
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden.
| | - Fredrik Ahlsson
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
| | - Katja Junus
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
| | - Anna-Karin Wikström
- Department of Women's and Children's Health, Uppsala University, 751 85, Uppsala, Sweden
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Ghanei A, Mohammadzade G, Gholami Banadkoki M, Meybodi AE. The predictive role of serum uric acid levels before pregnancy in the development of gestational diabetes mellitus. Diabetol Int 2024; 15:123-129. [PMID: 38264224 PMCID: PMC10800320 DOI: 10.1007/s13340-023-00662-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2023] [Accepted: 08/29/2023] [Indexed: 01/25/2024]
Abstract
Objective With the prevalence of obesity, growing age of first pregnancy, highly processed high-calorie diet, consumption of saturated fats as well as sedentary and stressful life, the prevalence of gestational diabetes mellitus (GDM) is increasing. We aimed to determine the predictive role of pre-pregnancy serum uric acid levels and the occurrence of GDM during pregnancy. Methods This study was a descriptive-analytical study that was performed retrospectively through case-control. The Subjects of this study were women over 18 years of age who were 24-28 weeks pregnant. All subjects of this study were evaluated for GDM based on the ADA guideline and were divided into case and control groups. All data relating to the period of 6 months before pregnancy of the study participants including blood uric acid level, blood pressure, etc. were collected and analyzed. Results In this study, 454 normal individuals without GDM and 478 others with GDM were examined. The mean serum uric acid showed to be 4.47 ± 1.33 mg/dl in patients with GDM but 3.7 ± 1.25 mg/dl in patients without GDM (p value = 0.001). The results of the regression test showed that the incidence of GDM in people with blood uric acid levels of 4.1-5, 5.1-6, and more than 6 mg/dl is 2.46, 3.42, and 4.9 times higher in people with uric acid levels less than 3 mg/dl, respectively. Conclusion The present study identified that serum uric acid levels in the period of 6 months before pregnancy can be used as an independent predictor marker for future GDM.
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Affiliation(s)
- Azam Ghanei
- Department of Internal Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
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Pan K, Jukic AM, Mishra GD, Mumford SL, Wise LA, Schisterman EF, Ley SH, Charlton BM, Chavarro JE, Hart JE, Sidney S, Xiong X, Barbosa-Leiker C, Schliep K, Shaffer JG, Bazzano LA, Harville EW. The association between preconception cannabis use and gestational diabetes mellitus: The Preconception Period Analysis of Risks and Exposures Influencing health and Development (PrePARED) consortium. Paediatr Perinat Epidemiol 2024; 38:69-85. [PMID: 37751914 PMCID: PMC11000150 DOI: 10.1111/ppe.13008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 09/11/2023] [Accepted: 09/12/2023] [Indexed: 09/28/2023]
Abstract
BACKGROUND The metabolic changes that ultimately lead to gestational diabetes mellitus (GDM) likely begin before pregnancy. Cannabis use might increase the risk of GDM by increasing appetite or promoting fat deposition and adipogenesis. OBJECTIVES We aimed to assess the association between preconception cannabis use and GDM incidence. METHODS We analysed individual-level data from eight prospective cohort studies. We identified the first, or index, pregnancy (lasting ≥20 weeks of gestation with GDM status) after cannabis use. In analyses of pooled individual-level data, we used logistic regression to estimate study-type-specific odds ratios (OR) and 95% confidence intervals (CI), adjusting for potential confounders using random effect meta-analysis to combine study-type-specific ORs and 95% CIs. Stratified analyses assessed potential effect modification by preconception tobacco use and pre-pregnancy body mass index (BMI). RESULTS Of 17,880 participants with an index pregnancy, 1198 (6.7%) were diagnosed with GDM. Before the index pregnancy, 12.5% of participants used cannabis in the past year. Overall, there was no association between preconception cannabis use in the past year and GDM (OR 0.97, 95% CI 0.79, 1.18). Among participants who never used tobacco, however, those who used cannabis more than weekly had a higher risk of developing GDM than those who did not use cannabis in the past year (OR 2.65, 95% CI 1.15, 6.09). This association was not present among former or current tobacco users. Results were similar across all preconception BMI groups. CONCLUSIONS In this pooled analysis of preconception cohort studies, preconception cannabis use was associated with a higher risk of developing GDM among individuals who never used tobacco but not among individuals who formerly or currently used tobacco. Future studies with more detailed measurements are needed to investigate the influence of preconception cannabis use on pregnancy complications.
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Affiliation(s)
- Ke Pan
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Anne Marie Jukic
- Epidemiology Branch, National Institute of Environmental Health Sciences, Durham, NC, USA
| | - Gita D. Mishra
- School of Public Health, University of Queensland, Herston, QLD, Australia
| | - Sunni L. Mumford
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Lauren A. Wise
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Enrique F. Schisterman
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Sylvia H. Ley
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Brittany M. Charlton
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Jorge E. Chavarro
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Stephen Sidney
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Xu Xiong
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | | | - Karen Schliep
- Division of Public Health, Department of Family and Preventive Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA
| | - Jeffrey G. Shaffer
- Department of Biostatistics and Data Science, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Lydia A. Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Emily W. Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
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Nguyen G, Hayes L, Ngongalah L, Bigirumurame T, Gaudet L, Odeniyi A, Flynn A, Crowe L, Skidmore B, Simon A, Smith V, Heslehurst N. Association between maternal adiposity measures and infant health outcomes: A systematic review and meta-analysis. Obes Rev 2022; 23:e13491. [PMID: 35801513 PMCID: PMC9539955 DOI: 10.1111/obr.13491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 06/13/2022] [Accepted: 06/13/2022] [Indexed: 11/04/2022]
Abstract
Maternal obesity increases risks of adverse fetal and infant outcomes. Guidelines use body mass index to diagnose maternal obesity. Evidence suggests body fat distribution might better predict individual risk, but there is a lack of robust evidence during pregnancy. We explored associations between maternal adiposity and infant health. Searches included six databases, references, citations, and contacting authors. Screening and quality assessment were carried out by two authors independently. Random effects meta-analysis and narrative synthesis were conducted. We included 34 studies (n = 40,143 pregnancies). Meta-analysis showed a significant association between maternal fat-free mass and birthweight (average effect [AE] 18.07 g, 95%CI 12.75, 23.38) but not fat mass (AE 8.76 g, 95%CI -4.84, 22.36). Women with macrosomic infants had higher waist circumference than controls (mean difference 4.93 cm, 95% confidence interval [CI] 1.05, 8.82). There was no significant association between subcutaneous fat and large for gestational age (odds ratio 1.06 95% CI 0.91, 1.25). Waist-to-hip ratio, neck circumference, skinfolds, and visceral fat were significantly associated with several infant outcomes including small for gestational age, preterm delivery, neonatal morbidity, and mortality, although meta-analysis was not possible for these variables. Our findings suggest that some measures of maternal adiposity may be useful for risk prediction of infant outcomes. Individual participant data meta-analysis could overcome some limitations in our ability to pool published data.
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Affiliation(s)
- Giang Nguyen
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Louise Hayes
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lem Ngongalah
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Laura Gaudet
- Department of Obstetrics and Gynaecology, Queen's University, Kingston, Ontario, Canada
| | - Adefisayo Odeniyi
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Angela Flynn
- Department of Nutritional Sciences, King's College London, London, UK
| | - Lisa Crowe
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | - Alexandre Simon
- Department of Obstetrics and Gynaecology, University of Ottawa, Ottawa, Ontario, Canada
| | - Vikki Smith
- Nursing, Midwifery & Health, Northumbria University, Newcastle upon Tyne, UK
| | - Nicola Heslehurst
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Heslehurst N, Ngongalah L, Bigirumurame T, Nguyen G, Odeniyi A, Flynn A, Smith V, Crowe L, Skidmore B, Gaudet L, Simon A, Hayes L. Association between maternal adiposity measures and adverse maternal outcomes of pregnancy: Systematic review and meta-analysis. Obes Rev 2022; 23:e13449. [PMID: 35467075 PMCID: PMC9285432 DOI: 10.1111/obr.13449] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 03/15/2022] [Accepted: 03/15/2022] [Indexed: 12/23/2022]
Abstract
Maternal obesity increases pregnancy-related risks. Women with a body mass index (BMI) ≥ 30 kg/m2 are considered to be at risk and should receive additional care, although approximately half will have uncomplicated pregnancies. This systematic review aimed to identify early pregnancy measures of adiposity associated with adverse maternal health outcomes. Searches included six databases, reference lists, citations, and contacting authors. Screening and quality assessment were carried out by two authors independently. Random effects meta-analysis and narrative synthesis were conducted. Seventy studies were included with a pooled sample of 89,588 women. Meta-analysis showed significantly increased odds of gestational diabetes mellitus (GDM) with higher waist circumference (WC) categories (1.40, 95% confidence interval [CI] 1.04, 1.88) and per unit increase in WC (1.31, 95% CI 1.03, 1.67). Women with GDM had higher WC than controls (mean difference [MD] 6.18 cm, 95% CI 3.92, 8.44). WC was significantly associated with hypertensive disorders, delivery-related outcomes, metabolic syndrome, and composite pregnancy outcomes. Waist to hip ratio was significantly associated with GDM, hypertensive disorders, and delivery-related outcomes. Fat mass, neck circumference, skinfolds, and visceral fat were significantly associated with adverse outcomes, although limited data were available. Our findings identify the need to explore how useful adiposity measures are at predicting risk in pregnancy, compared with BMI, to direct care to women with the greatest need.
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Affiliation(s)
- Nicola Heslehurst
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Lem Ngongalah
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | | | - Giang Nguyen
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Adefisayo Odeniyi
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Angela Flynn
- Department of Nutritional Sciences, King's College London, London, UK
| | - Vikki Smith
- Department of Nursing, Midwifery and Health, Northumbria University, Newcastle upon Tyne, UK
| | - Lisa Crowe
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Becky Skidmore
- Independent Information Specialist, Ottawa, Ontario, Canada
| | - Laura Gaudet
- Department of Obstetrics and Gynaecology, Queen's University, Kingston, Ontario, Canada
| | | | - Louise Hayes
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Harville EW, Wallace ME, He H, Bazzano LA. Lifetime cardiovascular risk factors and maternal and offspring birth outcomes: Bogalusa Babies. PLoS One 2022; 17:e0260703. [PMID: 35081112 PMCID: PMC8791492 DOI: 10.1371/journal.pone.0260703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2021] [Accepted: 11/15/2021] [Indexed: 11/24/2022] Open
Abstract
Both cardiovascular and reproductive complications may have origins in utero or in early life. Women in the Bogalusa Heart Study (n = 1401) had been linked to birth certificates for birthweight and gestational data, which were examined relative to childhood (ages 4–16) cardiometabolic indicators, indicated by mean levels overall and total risk factor burden as estimated by area under the curve (AUC) computed from longitudinal quadratic random-effects growth models. Women reported the birthweight and gestational age of each of their own pregnancies, and delivery medical records were linked to interview data where possible. Path analyses were conducted to examine the relationships among a woman’s own birth outcomes, childhood and preconception adult cardiovascular health, and birth outcomes. Mean blood pressure (systolic blood pressure (SBP) adjusted relative risk (aRR) per 1-SD increase, 1.27, 95% CI 1.04–1.57) and low-density lipoprotein (aRR 1.21, 95% CI 1.02–1.44) in childhood predicted preterm birth (PTB), while mean SBP (aRR 1.33, 95% CI 1.02–1.74) predicted term low birthweight. The AUC data suggested an association between blood pressure and PTB (aRR for SBP top 10%, 1.86, 95% CI 1.08–3.21). Pre-pregnancy total cholesterol was negatively associated with gestational age. In path analyses, positive associations were found for each step between own birthweight, childhood BMI, pre-pregnancy BMI, and child’s birthweight. Childhood levels of some, though not all, cardiovascular risk factors may predict adverse birth outcomes (preterm birth and reduced fetal growth).
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Affiliation(s)
- Emily W. Harville
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
- * E-mail:
| | - Maeve E. Wallace
- Department of Global Community Health and Behavior, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
| | - Hua He
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
| | - Lydia A. Bazzano
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America
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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: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2021] [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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Mahindra MP, Sampurna MTA, Mapindra MP, Sutowo Putri AM. Maternal lipid levels in pregnant women without complications in developing risk of large for gestational age newborns: a study of meta-analysis. F1000Res 2020; 9:1213. [PMID: 33628433 PMCID: PMC7883316 DOI: 10.12688/f1000research.26072.2] [Citation(s) in RCA: 4] [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] [Accepted: 01/22/2021] [Indexed: 12/17/2022] Open
Abstract
Background: Circulating into foetal circulation across the placental barrier, abnormal maternal serum lipids predispose neonates to metabolic dysfunction and thereafter affect the steroid metabolism and functions of extra-embryonic foetal tissues. Methods: A systematic review was conducted by searching PubMed-MEDLINE and the Cochrane library between January 2010 and January 2020. The included studies were English case control studies that described original data on at least one raw lipid measurement during pregnancy in healthy women who delivered large for gestational age (LGA) newborns and in healthy women with non-LGA newborns. The data extracted from 12 studies were pooled, and the weighted mean difference (WMD) in lipid levels was calculated using random effects models. A meta-analysis was performed to identify sources of heterogeneity and to describe the significant value of the collected studies. Results: Of 649 published articles identified, a total of 12 met the inclusion criteria . Compared with women who had non-LGA newborns, those who had LGA newborns had significantly higher triglyceride (TG) levels (WMD = 0.28, 95% CI -0.02 to 0.54) and lower high density lipoprotein cholestrol (HDL-C) levels (WMD = 0.08, 95% CI -0.13 to -0.03), but not have significantly lower high-density lipoprotein cholesterol (LDL-C) levels. Moreover, the levels of total cholesterol, low-density lipoprotein cholesterol, and very low density lipoprotein cholesterol (VLDL-C) were inconsistent between both groups. Conclusions: High levels of TG and low levels of HDL-C could cause births of LGA newborns whereas maternal serum of TC, LDL-C and VLDL-C cannot be used as predictor of LGA.
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Affiliation(s)
| | - Mahendra Tri Arif Sampurna
- Department of Pediatrics, Faculty of Medicine, Airlangga University, Surabaya, East Java, 60115, Indonesia
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11
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Mahindra MP, Sampurna MTA, Mapindra MP, Sutowo Putri AM. Maternal lipid levels in pregnant women without complications in developing risk of large for gestational age newborns: a meta-analysis. F1000Res 2020; 9:1213. [PMID: 33628433 PMCID: PMC7883316 DOI: 10.12688/f1000research.26072.1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 10/01/2020] [Indexed: 09/17/2023] Open
Abstract
Background: Circulating into foetal circulation across the placental barrier, abnormal maternal serum lipids predispose neonates to metabolic dysfunction and thereafter affect the steroid metabolism and functions of extra-embryonic foetal tissues. Methods: A systematic review was conducted by searching PubMed-MEDLINE and the Cochrane library between January 2010 and January 2020. The included studies were English case control studies that described original data on at least one raw lipid measurement during pregnancy in healthy women who delivered large for gestational age (LGA) newborns and in healthy women with non-LGA newborns. The data extracted from 12 studies were pooled, and the weighted mean difference (WMD) in lipid levels was calculated using random effects models. A meta-analysis was performed to identify sources of heterogeneity and to describe the significant value of the collected studies. Results: Of 643 publications identified, a total of 12 met the inclusion criteria . Compared with women who had non-LGA newborns, those who had LGA newborns had significantly higher triglyceride (TG) levels (WMD = 0.28, 95% CI -0.02 to 0.54) and lower high density lipoprotein cholestrol (HDL-C) levels (WMD = 0.08, 95% CI -0.13 to -0.03), but not have significantly lower high-density lipoprotein cholesterol (LDL-C) levels. Moreover, the levels of total cholesterol, low-density lipoprotein cholesterol, and very low density lipoprotein cholesterol (VLDL-C) were inconsistent between both groups. Conclusions: High levels of TG and low levels of HDL-C could cause births of LGA newborns whereas maternal serum of TC, LDL-C and VLDL-C cannot be used as predictor of LGA.
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Affiliation(s)
| | - Mahendra Tri Arif Sampurna
- Department of Pediatrics, Faculty of Medicine, Airlangga University, Surabaya, East Java, 60115, Indonesia
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12
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West S, Ollila M, Franks S, Piltonen T, Jokelainen J, Nevalainen J, Puukka K, Ruokonen A, Järvelin M, Auvinen J, Tapanainen JS, Morin‐Papunen L. Overweight, obesity and hyperandrogenemia are associated with gestational diabetes mellitus: A follow‐up cohort study. Acta Obstet Gynecol Scand 2020; 99:1311-1319. [DOI: 10.1111/aogs.13883] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2019] [Revised: 04/07/2020] [Accepted: 04/09/2020] [Indexed: 12/11/2022]
Affiliation(s)
- Sammeli West
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
| | - Meri‐Maija Ollila
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
| | - Stephen Franks
- Institute of Reproductive and Developmental Biology Imperial College London London UK
| | - Terhi Piltonen
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
| | - Jari Jokelainen
- Center for Life Course Health Research Faculty of Medicine University of Oulu Oulu Finland
- Unit of General Practice Oulu University Hospital Oulu Finland
| | - Jaana Nevalainen
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
| | - Katri Puukka
- Department of Clinical Chemistry NordLab Oulu Oulu University HospitalUniversity of Oulu Oulu Finland
| | - Aimo Ruokonen
- Department of Clinical Chemistry NordLab Oulu Oulu University HospitalUniversity of Oulu Oulu Finland
| | - Marjo‐Riitta Järvelin
- Department of Children, Young People and Families National Institute for Health and Welfare Oulu Finland
- Department of Epidemiology and Biostatistics MRC Health Protection Agency (HPA) Center for Environment and Health School of Public HealthImperial College London London UK
| | - Juha Auvinen
- Center for Life Course Health Research Faculty of Medicine University of Oulu Oulu Finland
- Unit of General Practice Oulu University Hospital Oulu Finland
| | - Juha S. Tapanainen
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
- Department of Obstetrics and Gynecology University of Helsinki and Helsinki University Hospital Helsinki Finland
| | - Laure Morin‐Papunen
- Department of Obstetrics and Gynecology Medical Research Center Oulu and PEDEGO Research Unit (Research Unit for Pediatrics Dermatology, Clinical Genetics, Obstetrics and Gynecology University Hospital of OuluUniversity of Oulu Oulu Finland
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13
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Arbib N, Pfeffer-Gik T, Sneh-Arbib O, Krispin E, Rosenblat O, Hadar E. The pre-gestational triglycerides and high-density lipoprotein cholesterol ratio is associated with adverse perinatal outcomes: A retrospective cohort analysis. Int J Gynaecol Obstet 2020; 148:375-380. [PMID: 31811728 DOI: 10.1002/ijgo.13078] [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: 08/01/2019] [Revised: 10/17/2019] [Accepted: 12/06/2019] [Indexed: 11/11/2022]
Abstract
OBJECTIVE To investigate associations between pre-gestational dyslipidemia, expressed as the ratio between triglycerides (TG) and high-density lipoprotein cholesterol (HDL), and adverse maternal and neonatal outcomes. METHODS A retrospective cohort analysis included women with TG and HDL measurements available up to 52 weeks before conception who delivered a singleton, non-anomalous infant. The study population was stratified according to a TG/HDL ratio cutoff of 3. Primary maternal outcomes included gestational diabetes or hypertensive disorders of pregnancy and neonatal outcomes after delivery before 37 weeks. RESULTS Among 5226 women included, 4446 (85.1%) had TG/HDL <3 and 780 (14.9%) ≥3. TG/HDL ratio ≥3 vs <3 was associated with higher rates of gestational diabetes (13.1% vs 5.2%, P<0.0001) and hypertensive disorders of pregnancy (5.3% vs 2.2%, P<0.0001). Larger babies (3229.7 ± 520.7 g vs 3181.7 ± 504.4 g, P=0.015) with higher birth weight percentile (59.0 ± 26.4 vs 55.1 ± 26.6, P<0.0001) and increased rates of large-for-gestational-age (14.5% vs 10.8%, P=0.007) and macrosomia (5.6% vs 3.9%, P=0.026) were found. In multivariate analysis, TG/HDL ≥3 remained an independent risk-factor for gestational diabetes (adjusted odds ratio [aOR] 1.56, 95% confidence interval [CI] 1.02-2.39) and pre-eclampsia (aOR 3.02, 95% CI 1.82-5.01). CONCLUSIONS An increase in adverse pregnancy outcomes was reported, mainly gestational diabetes and pre-eclampsia, when TG/HDL ratio up to 1 year before pregnancy was ≥3.
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Affiliation(s)
- Nissim Arbib
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Department of Obstetrics & Gynecology, Meir Medical Center, Kfar Saba, Israel
| | - Tamar Pfeffer-Gik
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,IBD Center, Division of Gastroenterology, Rabin Medical Center, Petach Tikva, Israel
| | - Orly Sneh-Arbib
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Rabin Medical Center, The Liver Institute, Petach Tikva, Israel
| | - Eyal Krispin
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Maternal-Fetal Medicine Unit, Rabin Medical Center, Helen Schneider Hospital for Women, Petach Tikva, Israel
| | - Orgad Rosenblat
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Eran Hadar
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.,Maternal-Fetal Medicine Unit, Rabin Medical Center, Helen Schneider Hospital for Women, Petach Tikva, Israel
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14
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Grieger JA, Bianco-Miotto T, Grzeskowiak LE, Leemaqz SY, Poston L, McCowan LM, Kenny LC, Myers JE, Walker JJ, Dekker GA, Roberts CT. Metabolic syndrome in pregnancy and risk for adverse pregnancy outcomes: A prospective cohort of nulliparous women. PLoS Med 2018; 15:e1002710. [PMID: 30513077 PMCID: PMC6279018 DOI: 10.1371/journal.pmed.1002710] [Citation(s) in RCA: 91] [Impact Index Per Article: 15.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2017] [Accepted: 11/02/2018] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Obesity increases the risk for developing gestational diabetes mellitus (GDM) and preeclampsia (PE), which both associate with increased risk for type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) in women in later life. In the general population, metabolic syndrome (MetS) associates with T2DM and CVD. The impact of maternal MetS on pregnancy outcomes, in nulliparous pregnant women, has not been investigated. METHODS AND FINDINGS Low-risk, nulliparous women were recruited to the multi-centre, international prospective Screening for Pregnancy Endpoints (SCOPE) cohort between 11 November 2004 and 28 February 2011. Women were assessed for a range of demographic, lifestyle, and metabolic health variables at 15 ± 1 weeks' gestation. MetS was defined according to International Diabetes Federation (IDF) criteria for adults: waist circumference ≥80 cm, along with any 2 of the following: raised trigycerides (≥1.70 mmol/l [≥150 mg/dl]), reduced high-density lipoprotein cholesterol (<1.29 mmol/l [<50 mg/dl]), raised blood pressure (BP) (i.e., systolic BP ≥130 mm Hg or diastolic BP ≥85 mm Hg), or raised plasma glucose (≥5.6 mmol/l). Log-binomial regression analyses were used to examine the risk for each pregnancy outcome (GDM, PE, large for gestational age [LGA], small for gestational age [SGA], and spontaneous preterm birth [sPTB]) with each of the 5 individual components for MetS and as a composite measure (i.e., MetS, as defined by the IDF). The relative risks, adjusted for maternal BMI, age, study centre, ethnicity, socioeconomic index, physical activity, smoking status, depression status, and fetal sex, are reported. A total of 5,530 women were included, and 12.3% (n = 684) had MetS. Women with MetS were at an increased risk for PE by a factor of 1.63 (95% CI 1.23 to 2.15) and for GDM by 3.71 (95% CI 2.42 to 5.67). In absolute terms, for PE, women with MetS had an adjusted excess risk of 2.52% (95% CI 1.51% to 4.11%) and, for GDM, had an adjusted excess risk of 8.66% (95% CI 5.38% to 13.94%). Diagnosis of MetS was not associated with increased risk for LGA, SGA, or sPTB. Increasing BMI in combination with MetS increased the estimated probability for GDM and decreased the probability of an uncomplicated pregnancy. Limitations of this study are that there are several different definitions for MetS in the adult population, and as there are none for pregnancy, we cannot be sure that the IDF criteria are the most appropriate definition for pregnancy. Furthermore, MetS was assessed in the first trimester and may not reflect pre-pregnancy metabolic health status. CONCLUSIONS We did not compare the impact of individual metabolic components with that of MetS as a composite, and therefore cannot conclude that MetS is better at identifying women at risk. However, more than half of the women who had MetS in early pregnancy developed a pregnancy complication compared with just over a third of women who did not have MetS. Furthermore, while increasing BMI increases the probability of GDM, the addition of MetS exacerbates this probability. Further studies are required to determine if individual MetS components act synergistically or independently.
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Affiliation(s)
- Jessica A. Grieger
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Tina Bianco-Miotto
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Waite Research Institute, School of Agriculture, Food and Wine, University of Adelaide, Adelaide, Australia
| | - Luke E. Grzeskowiak
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Shalem Y. Leemaqz
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
| | - Lucilla Poston
- Department of Women and Children’s Health, King’s College London, St. Thomas’ Hospital, London, United Kingdom
| | - Lesley M. McCowan
- Department of Obstetrics and Gynaecology, University of Auckland, Auckland, New Zealand
| | - Louise C. Kenny
- Faculty of Health & Life Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Jenny E. Myers
- Maternal and Fetal Health Research Centre, University of Manchester, Manchester, United Kingdom
| | - James J. Walker
- Obstetrics and Gynaecology Section, Leeds Institute of Biomedical and Clinical Sciences, University of Leeds, Leeds, United Kingdom
| | - Gus A. Dekker
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- Women and Children’s Division, Lyell McEwin Hospital, Adelaide, Australia
| | - Claire T. Roberts
- Robinson Research Institute, University of Adelaide, Adelaide, Australia
- Adelaide Medical School, University of Adelaide, Adelaide, Australia
- * E-mail:
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15
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Harville EW, Myers L, Shu T, Wallace ME, Bazzano LA. Pre-pregnancy cardiovascular risk factors and racial disparities in birth outcomes: the Bogalusa Heart Study. BMC Pregnancy Childbirth 2018; 18:339. [PMID: 30126351 PMCID: PMC6102890 DOI: 10.1186/s12884-018-1959-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2017] [Accepted: 07/31/2018] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Racial disparities in birth outcomes are mirrored in cardiovascular health. Recently there have been calls for more attention to preconception and interconceptional health in order to improve birth outcomes, including as a strategy to reduce black-white disparities. METHODS As part of a larger study of cardiovascular and reproductive health ("Bogalusa Babies"), female participants were linked to their children's birth certificates for Louisiana, Mississippi, and Texas births from 1982 to 2009. Three thousand and ninety-five women were linked to birth certificate data. Birth outcomes were defined as low birthweight (LBW) birthweight < 2500 g; preterm birth (PTB), > 3 weeks early; small for gestational age (SGA), <10th percentile for gestational age (percentiles based on study population); large for gestational age (LGA) >90th percentile for gestational age]. Cardiovascular measures (blood pressure, lipids, glucose, insulin) at the visit closest in time but prior to the pregnancy was examined as predictors of birth outcomes using logistic models adjusted for covariates. RESULTS Only a few cardiovascular risk factors were associated with birth outcomes. Triglycerides were associated with higher risk of LBW among whites (aOR 1.05, 95% 1.01-1.10). Higher glucose was associated with a reduction in risk of SGA for black women (aOR 0.85, 95% CI 0.76-0.95), but not whites (p for interaction = 0.02). Clear racial disparities were found, but they were reduced modestly (LBW/SGA) or not at all (PTB/LGA) after CVD risk factors were adjusted for. CONCLUSIONS This analysis does not provide evidence for preconception cardiovascular risk being a strong contributor to racial disparities.
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Affiliation(s)
- Emily W Harville
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St. Ste. 2001, #8318, New Orleans, LA, 70112-2715, USA.
| | - Leann Myers
- Department of Global Biostatistics and Data Science, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Tian Shu
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St. Ste. 2001, #8318, New Orleans, LA, 70112-2715, USA
| | - Maeve E Wallace
- Department of Global Community Health and Behavioral Sciences, Tulane School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Lydia A Bazzano
- Department of Epidemiology, Tulane School of Public Health and Tropical Medicine, 1440 Canal St. Ste. 2001, #8318, New Orleans, LA, 70112-2715, USA
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16
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Retnakaran R, Wen SW, Tan H, Zhou S, Ye C, Shen M, Smith GN, Walker MC. Maternal pre-gravid cardiometabolic health and infant birthweight: A prospective pre-conception cohort study. Nutr Metab Cardiovasc Dis 2017; 27:723-730. [PMID: 28693965 DOI: 10.1016/j.numecd.2017.05.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 05/11/2017] [Accepted: 05/12/2017] [Indexed: 10/19/2022]
Abstract
BACKGROUND AND AIMS Both low birthweight and high birthweight have been associated with the development of cardiometabolic disease in adulthood, possibly reflecting the effect of intrauterine fetal programming. As developmental programming can begin before conception, pre-gravid factors that predict birthweight may be relevant in this context. However, little is known about such factors. Thus, we established a pre-conception cohort to identify maternal pre-gravid cardiometabolic determinants of infant birthweight. METHODS AND RESULTS In this prospective observational cohort study, 1484 newly-married women in Liuyang, China, underwent baseline (pre-gravid) evaluation and then were followed across a subsequent pregnancy. Pre-gravid cardiometabolic characterization consisted of clinical (anthropometry, blood pressure) and biochemical evaluation (total/LDL/HDL cholesterol, triglycerides, glucose) at median 20 weeks before a singleton pregnancy. Mean birthweight was 3294 ± 444 g, with 173 neonates large-for-gestational-age (LGA) and 110 small-for-gestational-age (SGA). On multiple linear regression analysis, positive determinants of birthweight were maternal age, pre-gravid body mass index (BMI), weight gain in pregnancy, length of gestation, and male infant (all p ≤ 0.0003). On logistic regression analysis, independent predictors of an LGA delivery were maternal age (OR = 1.10 per year, 95%CI 1.03-1.18), pre-gravid BMI (OR = 1.21 per kg/m2, 1.07-1.37), and gestational weight gain (OR = 1.10 per kg, 1.06-1.14). The only independent predictor of SGA was gestational weight gain (OR = 0.93 per kg, 0.89-0.97). CONCLUSION Maternal weight before and during pregnancy is the predominant cardiometabolic determinant of infant birthweight, rather than pre-gravid blood pressure, glucose or lipid profile.
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Affiliation(s)
- R Retnakaran
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada; Division of Endocrinology, University of Toronto, Toronto, Ontario, Canada.
| | - S W Wen
- OMNI Research Group, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; School of Public Health, Central South University, Changsha, China
| | - H Tan
- School of Public Health, Central South University, Changsha, China
| | - S Zhou
- Liuyang Municipal Hospital of Maternal and Child Health, Beizheng, Liuyang, China
| | - C Ye
- Leadership Sinai Centre for Diabetes, Mount Sinai Hospital, Toronto, Ontario, Canada
| | - M Shen
- OMNI Research Group, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada; School of Public Health, Central South University, Changsha, China
| | - G N Smith
- Queen's Perinatal Research Unit, Department of Obstetrics and Gynecology, Queen's University, Kingston, Canada
| | - M C Walker
- OMNI Research Group, Department of Obstetrics and Gynecology, University of Ottawa, Ottawa, Canada; Ottawa Hospital Research Institute, Clinical Epidemiology Program, Ottawa, Canada
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17
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Are There Benefits for Gestational Diabetes Mellitus in Treating Lower Levels of Hyperglycemia Than Standard Recommendations? Can J Diabetes 2016; 40:548-554. [PMID: 27423765 DOI: 10.1016/j.jcjd.2016.05.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2015] [Revised: 05/02/2016] [Accepted: 05/10/2016] [Indexed: 01/06/2023]
Abstract
OBJECTIVES The new International Association of Diabetes and Pregnancy Study Groups (IADPSG) recommendations for diagnosis of gestational diabetes mellitus (GDM) are generating discussion regarding their universal adoption. Our centre is currently using stricter GDM diagnostic criteria than those proposed by the IADPSG. Evaluation of complication rates and their predictors in our cohort may provide insight for the care of this high-risk population. Therefore, we determined complication rates and identified antepartum maternal predictors of adverse outcomes in our cohort with mild GDM. METHODS A retrospective cohort study was performed between 2005 and 2011. It included women with and without GDM, which was diagnosed if fasting plasma glucose levels were 5.0 or above or 2-hour post 75 gram oral glucose tolerance test (OGTT) were 7.8 mmol/L or higher. RESULTS A total of 3712 women, with and without diabetes, were included. Rates of macrosomia and pre-eclampsia were significantly higher in the group with GDM but were lower than the rates usually reported. Macrosomia, the need for insulin therapy or caesarean section and postpartum glucose intolerance predictors included prepregnancy body mass index, excessive gestational weight gain and OGTT screening results, although no specific threshold was found. CONCLUSIONS This study provides insight into GDM-related complications rates and the benefits of intervention in a large cohort of women with levels of hyperglycemia lower than those currently recommended for diagnosis of GDM. These findings suggest a continuous association between adverse outcomes and maternal hyperglycemia and highlight the important role of maternal risk factors other than glycemic results in the development of pregnancy-related complications. Milder forms of hyperglycemia that would not be identified by IADPSG guidelines may benefit from treatment.
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18
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Baumfeld Y, Novack L, Wiznitzer A, Sheiner E, Henkin Y, Sherf M, Novack V. Pre-Conception Dyslipidemia Is Associated with Development of Preeclampsia and Gestational Diabetes Mellitus. PLoS One 2015; 10:e0139164. [PMID: 26452270 PMCID: PMC4599807 DOI: 10.1371/journal.pone.0139164] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2015] [Accepted: 09/08/2015] [Indexed: 11/18/2022] Open
Abstract
Introduction The association between glucose intolerance, elevated blood pressure and abnormal lipid levels is well established and comprises the basis of metabolic syndrome pathophysiology. We hypothesize that abnormal preconception lipid levels are associated with the increased risk of severe pregnancy complications such as preeclampsia and gestational diabetes mellitus. Methods We included all singleton deliveries (n = 27,721) of women without known cardiovascular morbidity and preeclampsia and gestational diabetes mellitus during previous pregnancies. Association between preconception low high density lipoprotein cholesterol (HDLc level≤50 mg/dL), high triglycerides (level≥150 mg/dL) and the primary outcome (composite of gestational diabetes mellitus/or preeclampsia) was assessed using Generalized Estimation Equations. Results Primary outcome of preeclampsia and/or gestational diabetes was observed in a total of 3,243 subjects (11.7%). Elevated triglycerides and low HDLc were independently associated with the primary outcome: with odds ratio (OR) of 1.61 (95% CI 1.29–2.01) and OR = 1.33 (95% CI 1.09–1.63), respectively, after adjusting for maternal age, weight, blood pressure, repeated abortions, fertility treatments and fasting glucose. There was an interaction between the effects of HDLc≤50 mg/dL and triglycerides≥150 mg/dL with an OR of 2.69 (95% CI 1.73–4.19). Conclusions Our analysis showed an increased rate of preeclampsia and/or gestational diabetes in women with low HDLc and high triglycerides values prior to conception. In view of the severity of these pregnancy complications, we believe this finding warrants a routine screening for the abnormal lipid profile among women of a child-bearing age.
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Affiliation(s)
- Yael Baumfeld
- Soroka Clinical Research Center, Soroka University Medical Center, Be’er-Sheva, Israel
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Be’er-Sheva, Israel
| | - Lena Novack
- Department of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be’er-Sheva, Israel
| | - Arnon Wiznitzer
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Be’er-Sheva, Israel
| | - Eyal Sheiner
- Department of Obstetrics and Gynecology, Soroka University Medical Center, Be’er-Sheva, Israel
| | - Yakov Henkin
- Department of Cardiology, Soroka University Medical Center, Be’er-Sheva, Israel
| | - Michael Sherf
- Medical Administration, Clalit Health Services, Tel-Aviv, Israel
| | - Victor Novack
- Soroka Clinical Research Center, Soroka University Medical Center, Be’er-Sheva, Israel
- * E-mail:
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19
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Gilmore LA, Klempel-Donchenko M, Redman LM. Pregnancy as a window to future health: Excessive gestational weight gain and obesity. Semin Perinatol 2015; 39:296-303. [PMID: 26096078 PMCID: PMC4516569 DOI: 10.1053/j.semperi.2015.05.009] [Citation(s) in RCA: 120] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Metabolic and behavioral changes that occur during pregnancy have well-known effects on maternal and fetal health during the immediate pregnancy and now are thought to be a catalyst for future health throughout later life. Recommendations for appropriate gestational weight gain (GWG) and lifestyle modifications during pregnancy have changed throughout history as more is known about this crucial time. Herein we discuss the current GWG recommendations and the impact of pregnancy and excess GWG gain on the current and future health of women and children including risk of obesity, gestational diabetes, type 2 diabetes, cardiovascular disease, and metabolic syndrome.
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Affiliation(s)
| | | | - Leanne M. Redman
- Corresponding author. Pennington Biomedical Research Center, 6400 Perkins Road, Baton Rouge, LA 70808,
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