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Irvine N, Bell RC, Subhan FB, Field CJ, Liu J, MacDonald AM, Kinniburgh DW, Martin JW, Dewey D, England-Mason G. Maternal pre-pregnancy BMI influences the associations between bisphenol and phthalate exposures and maternal weight changes and fat accumulation. ENVIRONMENTAL RESEARCH 2024; 257:119276. [PMID: 38830392 DOI: 10.1016/j.envres.2024.119276] [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: 03/05/2024] [Revised: 05/21/2024] [Accepted: 05/28/2024] [Indexed: 06/05/2024]
Abstract
BACKGROUND Bisphenols and phthalates are two classes of endocrine-disrupting chemicals (EDCs) thought to influence weight and adiposity. Limited research has investigated their influence on maternal weight changes, and no prior work has examined maternal fat mass. We examined the associations between exposure to these chemicals during pregnancy and multiple maternal weight and fat mass outcomes. METHODS This study included a sample of 318 women enrolled in a Canadian prospective pregnancy cohort. Second trimester urinary concentrations of 2 bisphenols and 12 phthalate metabolites were quantified. Self-reported and measured maternal weights and measured skinfold thicknesses were used to calculate gestational weight gain, 3-months and 3- to 5-years postpartum weight retention, late pregnancy fat mass gain, total postpartum fat mass loss, and late postpartum fat mass retention. Adjusted robust regressions examined associations between chemicals and outcomes in the entire study population and sub-groups stratified by pre-pregnancy body mass index (BMI). Bayesian kernel machine regression examined chemical mixture effects. RESULTS Among women with underweight or normal pre-pregnancy BMIs, MBzP was negatively associated with weight retention at 3- to 5-years postpartum (B = -0.04, 95%CI: -0.07, -0.01). Among women with overweight or obese pre-pregnancy BMIs, MEHP and MMP were positively associated with weight retention at 3-months and 3- to 5-years postpartum, respectively (B's = 0.12 to 0.63, 95%CIs: 0.02, 1.07). DEHP metabolites and MCNP were positively associated with late pregnancy fat mass gain and late postpartum fat mass retention (B's = 0.04 to 0.18, 95%CIs: 0.001, 0.32). Further, the mixture of EDCs was positively associated with late pregnancy fat mass gain. CONCLUSION In this cohort, pre-pregnancy BMI was a key determinant of the associations between second trimester exposure to bisphenols and phthalates and maternal weight changes and fat accumulation. Investigations of underlying physiological mechanisms, windows of susceptibility, and impacts on maternal and infant health are needed.
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Affiliation(s)
- Nathalie Irvine
- Bachelor of Health Sciences Program, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Rhonda C Bell
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Fatheema B Subhan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Department of Nutrition and Food Science, California State Polytechnic University, Pomona, California, United States
| | - Catherine J Field
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Jiaying Liu
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada
| | - Amy M MacDonald
- Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - David W Kinniburgh
- Department of Laboratory Medicine and Pathology, University of Alberta, Edmonton, Alberta, Canada; Alberta Centre for Toxicology, University of Calgary, Calgary, Alberta, Canada
| | - Jonathan W Martin
- Science for Life Laboratory, Department Environmental Sciences, Stockholm University, Stockholm, Sweden
| | - Deborah Dewey
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary. Alberta, Canada; Hotchkiss Brain Institute, University of Calgary, Calgary, Alberta, Canada
| | - Gillian England-Mason
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada; Owerko Centre, Alberta Children's Hospital Research Institute, University of Calgary, Calgary. Alberta, Canada.
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Chen Q, He Z, Wang Y, Yang X, Liu N, Zhang S, Ma L, Shi X, Jia X, Yang Y, Sun Y, He Y. Effect of Maternal Pre-Pregnancy Body Mass Index on Longitudinal Fetal Growth and Mediating Role of Maternal Fasting Plasma Glucose: A Retrospective Cohort Study. Diabetes Metab Syndr Obes 2024; 17:1911-1921. [PMID: 38711675 PMCID: PMC11073526 DOI: 10.2147/dmso.s449706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 03/26/2024] [Indexed: 05/08/2024] Open
Abstract
Purpose To assess the impact of maternal pre-pregnancy body mass index (BMI) on longitudinal fetal growth, and the potential mediation effect of the maternal fasting plasma glucose in first trimester. Methods In this retrospective cohort study, we collected pre-pregnancy BMI data and ultrasound measurements during pregnancy of 3879 singleton pregnant women who underwent antenatal examinations and delivered at Peking Union Medical College Hospital. Generalized estimation equations, linear regression, and logistic regression were used to examine the association between pre-pregnancy BMI with fetal growth and adverse neonatal outcomes. Mediation analyses were also used to examine the mediating role of maternal fasting plasma glucose (FPG) in first trimester. Results A per 1 Kg/m² increase in pre-pregnancy BMI was associated with increase fetal body length Z-score (β 0.010, 95% CI 0.001, 0.019) and fetal body weight (β 0.017, 95% CI 0.008, 0.027). In mid pregnancy, pre-pregnancy BMI also correlated with an increase Z-score of fetal abdominal circumference, femur length (FL). Pre-pregnancy BMI was associated with an increased risk of large for gestational age and macrosomia. Mediation analysis indicated that the associations between pre-pregnancy BMI and fetal weight in mid and late pregnancy, and at birth were partially mediated by maternal FPG in first trimester (mediation proportion: 5.0%, 8.3%, 1.6%, respectively). Conclusion Maternal pre-pregnancy BMI was associated with the longitudinal fetal growth, and the association was partly driven by maternal FPG in first trimester. The study emphasized the importance of identifying and managing mothers with higher pre-pregnancy BMI to prevent fetal overgrowth.
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Affiliation(s)
- Qinzheng Chen
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Zhen He
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Yaxin Wang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Xuanjin Yang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Nana Liu
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Suhan Zhang
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Liangkun Ma
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Xuezhong Shi
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Xiaocan Jia
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Yongli Yang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, People’s Republic of China
| | - Yin Sun
- Department of Obstetrics and Gynecology, National Clinical Research Center for Obstetric & Gynecologic Diseases, Peking Union Medical College (PUMC) Hospital, Chinese Academy of Medical Sciences (CAMS) and PUMC, Beijing, People’s Republic of China
| | - Yuan He
- National Human Genetic Resources Center, National Research Institute for Family Planning, Beijing, People’s Republic of China
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Sari NP, Tsompanidis A, Wahab RJ, Gaillard R, Aydin E, Holt R, Allison C, Baron-Cohen S, van IJzendoorn MH, Jansen PW. Is the association between mothers' autistic traits and childhood autistic traits moderated by maternal pre-pregnancy body mass index? Mol Autism 2023; 14:46. [PMID: 38066561 PMCID: PMC10709910 DOI: 10.1186/s13229-023-00578-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Previous studies showed that there is a positive association between mothers' and children's autistic traits. We also tested if this association is more pronounced in mothers with a higher pre-pregnancy body mass index (BMI). METHOD The study was embedded in two cohorts with information available for 4,659 participants from the Generation R and for 179 participants from the Cambridge Ultrasound Siblings and Parents Project (CUSP) cohort. In both cohorts, maternal autistic traits were assessed using the short form of the Autism Spectrum Quotient, and information about maternal height and weight before pregnancy was obtained by questionnaire. Child autistic traits were assessed with the short form of Social Responsiveness Scale in Generation R (M = 13.5 years) and with the Quantitative Checklist for Autism in Toddlers (Q-CHAT) in the CUSP cohort (M = 1.6 years). RESULT Higher maternal autistic traits were associated with higher autistic traits in toddlerhood (CUSP cohort; βadjusted = 0.20, p < 0.01), in early childhood (Generation R; βadjusted = 0.19, p < 0.01), and in early adolescence (Generation R; βadjusted = 0.16, p < 0.01). Furthermore, a higher maternal pre-pregnancy BMI was associated with higher child autistic traits, but only in Generation R (βadjusted = 0.03, p < 0.01). There was no significant moderating effect of maternal pre-pregnancy BMI on the association between autistic traits of mothers and children, neither in Generation R nor in CUSP. In addition, child autistic traits scores were significantly higher in mothers who were underweight and in mothers who were overweight compared to mothers with a healthy weight. CONCLUSION We confirm the association between maternal and child autistic traits in toddlerhood, early childhood, and early adolescence. Potential interacting neurobiological processes remain to be confirmed.
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Affiliation(s)
- Novika Purnama Sari
- Department Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands.
- Department of Child & Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands.
- Generation R Study Group, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands.
- Department Clinical and Developmental Neuropsychology, University of Groningen, Groningen, The Netherlands.
| | - Alexandros Tsompanidis
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, UK.
| | - Rama J Wahab
- Generation R Study Group, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Romy Gaillard
- Department of Child & Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands
- Generation R Study Group, Erasmus University Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - Ezra Aydin
- Vagelos College of Physicians and Surgeons, Columbia University, New York, USA
- Department of Psychology, University of Cambridge, Cambridge, UK
| | - Rosemary Holt
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Carrie Allison
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Simon Baron-Cohen
- Department of Psychiatry, Autism Research Centre, University of Cambridge, Cambridge, UK
| | - Marinus H van IJzendoorn
- Department Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Research Department of Clinical, Educational and Health Psychology, University College London, London, UK
| | - Pauline W Jansen
- Department Psychology, Education & Child Studies, Erasmus University Rotterdam, Rotterdam, The Netherlands
- Department of Child & Adolescent Psychiatry/Psychology, Erasmus University Medical Centre, Rotterdam, The Netherlands
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Gaillard R, Jaddoe VWV. Maternal cardiovascular disorders before and during pregnancy and offspring cardiovascular risk across the life course. Nat Rev Cardiol 2023; 20:617-630. [PMID: 37169830 DOI: 10.1038/s41569-023-00869-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/21/2023] [Indexed: 05/13/2023]
Abstract
Obesity, hypertension, type 2 diabetes mellitus and dyslipidaemia are highly prevalent among women of reproductive age and contribute to complications in >30% of pregnancies in Western countries. An accumulating body of evidence suggests that these cardiovascular disorders in women, occurring before and during their pregnancy, can affect the development of the structure, physiology and function of cardiovascular organ systems at different stages during embryonic and fetal development. These developmental adaptations might, in addition to genetics and sociodemographic and lifestyle factors, increase the susceptibility of the offspring to cardiovascular disease throughout the life course. In this Review, we discuss current knowledge of the influence of maternal cardiovascular disorders, occurring before and during pregnancy, on offspring cardiovascular development, dysfunction and disease from embryonic life until adulthood. We discuss findings from contemporary, large-scale, observational studies that provide insights into specific critical periods, evidence for causality and potential underlying mechanisms. Furthermore, we focus on priorities for future research, including defining optimal cardiovascular and reproductive health in women and men before their pregnancy and identifying specific embryonic, placental and fetal molecular developmental adaptations from early pregnancy onwards. Together, these approaches will help stop the intergenerational cycle of cardiovascular disease.
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Affiliation(s)
- Romy Gaillard
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, Netherlands.
| | - Vincent W V Jaddoe
- Department of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, Netherlands
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Softa SM, Aldardeir N, Aloufi FS, Alshihabi SS, Khouj M, Redwan E. The Association of Maternal Height With Mode of Delivery and Fetal Birth Weight at King Abdulaziz University Hospital, Jeddah, Saudi Arabia. Cureus 2022; 14:e27493. [PMID: 36060402 PMCID: PMC9424784 DOI: 10.7759/cureus.27493] [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] [Accepted: 07/30/2022] [Indexed: 12/02/2022] Open
Abstract
Study Objectives: The aim of this study was to find if there is an association between maternal height and mode of delivery, as well as an association between maternal height and baby’s weight as a secondary outcome. Method: This retrospective record review was performed at King Abdulaziz University Hospital (KAUH), Jeddah, Saudi Arabia, including patients admitted between January 2016 to December 2017. All nulligravida with singleton term pregnancies who gave birth were included in this study. Pregnant women with planned elective cesarean section (CS) and incomplete records were excluded. The maternal demographic and clinical data (age, height, weight, hypertension, gestational diabetes (GDM), body mass index (BMI), smoking status, gestational age, regional analgesia during delivery, type of delivery, postpartum hemorrhage (PPH), and episiotomy), neonatal birth weight, and Apgar score were obtained from KAUH computerized records. Our primary outcome was the mode of delivery. The secondary outcome was the classification of neonatal weight into small for gestational age (SGA), appropriate for gestational age (AGA), or large for gestational age (LGA). Maternal height was divided into seven groups. Descriptive statistics using mean and standard deviation were used for continuous variables. Frequencies and percentages were used for categorical variables. Student's t-test and chi-square tests were used to evaluate the differences between continuous and categorical variables. Result: A total of 1067 women were included in this study. Most were at 40 weeks of gestation age (14.9%) with a mean height of 156.4±6.2 cm. Of the total, 76.9% were spontaneous vaginal delivery without operative assistance, 15.9% were delivered via CS, and 7.2% delivered vaginally with the assistance of forceps or ventouse. The mean neonatal birth weight was 2994 ± 451 gms with most neonates (87.3%) having a birth weight between 2500 and 4000 gms. Most babies were of average weight for their gestational age at delivery. There was a significant negative association between maternal height with CS (p=0.017). Moreover, there was a correlation between maternal height and the baby’s birth weight (p=0.01), and we found that for every 1 cm increase in women’s height, the baby's weight increases by 12.8 gms. Conclusion: Our study didn’t find an association between maternal height and vaginal delivery or operative vaginal delivery. However, there was an impact of maternal height on CS delivery. Therefore, we suggest screening for short maternal height as they have an increased risk of having an emergency CS. In our secondary outcome, we found a positive association between maternal height and baby's birth weight.
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Msollo SS, Martin HD, Mwanri AW, Petrucka P. Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. BMC Pregnancy Childbirth 2022; 22:545. [PMID: 35794524 PMCID: PMC9258134 DOI: 10.1186/s12884-022-04838-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Accepted: 06/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Screening for gestational diabetes mellitus in Tanzania is challenged by limited resources. Therefore, this study aimed to develop a simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania. METHODS This study used data from a cross sectional study, that was conducted between March and December 2018 in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Urine glucose was tested using urine multistics and blood glucose levels by Gluco-Plus™ and diagnosed in accordance with the World Health Organization's criteria. Anthropometrics were measured using standard procedures and maternal characteristics were collected through face-to-face interviews using a questionnaire with structured questions. Univariate analysis assessed individual variables association with gestational diabetes mellitus where variables with p-value of < 0.05 were included in multivariable analysis and predictors with p-value < 0.1 remained in the final model. Each variable was scored based on its estimated coefficients and risk scores were calculated by multiplying the corresponding coefficients by ten to get integers. The model's performance was assessed using c-statistic. Data were analyzed using Statistical Package for Social Science™. RESULTS The risk score included body fat ≥ 38%, delivery to macrosomic babies, mid-upper arm circumference ≥ 28 cm, and family history of type 2 diabetes mellitus. The score correctly identified 98% of women with gestational diabetes with an area under the receiver operating characteristic curve of 0.97 (95% CI 0.96-0.99, p < 0.001), sensitivity of 0.98, and specificity of 0.46. CONCLUSION The developed screening tool is highly sensitive and correctly differentiates women with and without gestational diabetes mellitus in a Tanzanian sub-population.
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Affiliation(s)
- Safiness Simon Msollo
- Depertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Haikael David Martin
- School of Life Sciences, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
| | - Akwilina Wendelin Mwanri
- Depertment of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Pammla Petrucka
- College of Nursing, University of Saskatchewan, Saskatoon, Canada
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Antoniou MC, Gilbert L, Gross J, Rossel JB, Fumeaux CJF, Vial Y, Puder JJ. Sex-dependent influence of maternal predictors on fetal anthropometry in pregnancies with gestational diabetes mellitus. BMC Pregnancy Childbirth 2022; 22:460. [PMID: 35650561 PMCID: PMC9158189 DOI: 10.1186/s12884-022-04767-z] [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: 12/23/2021] [Accepted: 05/06/2022] [Indexed: 11/25/2022] Open
Abstract
Background Third trimester fetal anthropometric parameters are known to predict neonatal complications. A better understanding of predictors of adverse fetal parameters might help to personalize the use and frequency of fetal ultrasound. The objectives of this study were: (a) to evaluate the utility of maternal sociodemographic, anthropometric and metabolic predictors to predict 3rd trimester fetal anthropometric parameters in women with gestational diabetes mellitus (GDM), (b) to assess whether the impact of these maternal predictors is fetal sex-dependent, and (c) to provide a risk stratification for markers of fetal overgrowth (fetal weight centile (FWC) and fetal abdominal circumference centile (FACC) depending on prepregnancy BMI and gestational weight gain (GWG) until the 1st GDM visit. Methods This prospective study included 189 women with GDM. Maternal predictors were age, ethnicity, prepregnancy BMI, GWG and excessive weight gain until the 1st GDM visit, fasting, 1-hour and 2-hour blood glucose oral glucose tolerance test values, HbA1c at the 1st visit and medical treatment requirement. Fetal outcomes included FWC, FWC >90% and <10%, FACC, FACC >90% and <10%, at 29 0/7 to 35 6/7 weeks of gestational age. We performed univariate and multivariate regression analyses and probability analyses. Results In multivariate analyses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC. GWG until the 1st GDM visit was associated with FWC, FACC and FACC > 90% (all p ≤ 0.045). Other maternal parameters were not significantly associated with fetal anthropometry in multivariate analyses (all p ≥ 0.054). In female fetuses, only GWG was associated with FACC (p= 0.044). However, in male fetuses, prepregnancy BMI was associated with FWC, FWC > 90% and FACC and GWG with FWC in multivariate analyses (all p ≤ 0.030). In women with a prepregnancy BMI of ≥ 25 kg/m2 and a GWG until the 1st GDM visit ≥ 10.3 kg (mean GWG), the risk for FWC > 90% and FACC > 90% was 5.3 and 4 times higher than in their counterparts. Conclusions A personalized fetal ultrasound surveillance guided by fetal sex, prepregnancy BMI and GWG may be beneficial in reducing adverse fetal and neonatal outcomes. Supplementary Information The online version contains supplementary material available at 10.1186/s12884-022-04767-z.
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Affiliation(s)
- Maria-Christina Antoniou
- Pediatric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.
| | - Leah Gilbert
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Justine Gross
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland.,Service of Endocrinology, Diabetes and Metabolism, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Jean-Benoît Rossel
- Center for Primary Care and Public Health (Unisanté), University of Lausanne, Lausanne, Switzerland
| | - Céline Julie Fischer Fumeaux
- Clinic of Neonatology, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Yvan Vial
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
| | - Jardena Jacqueline Puder
- Obstetric Service, Department Woman Mother Child, University Hospital of Lausanne, 1011, Lausanne, Switzerland
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Sibiak R, Ozegowska K, Wender-Ozegowska E, Gutaj P, Mozdziak P, Kempisty B. Fetomaternal Expression of Glucose Transporters (GLUTs)-Biochemical, Cellular and Clinical Aspects. Nutrients 2022; 14:2025. [PMID: 35631166 PMCID: PMC9146575 DOI: 10.3390/nu14102025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Revised: 04/28/2022] [Accepted: 05/11/2022] [Indexed: 12/10/2022] Open
Abstract
Several types of specialized glucose transporters (GLUTs) provide constant glucose transport from the maternal circulation to the developing fetus through the placental barrier from the early stages of pregnancy. GLUT1 is a prominent protein isoform that regulates placental glucose transfer via glucose-facilitated diffusion. The GLUT1 membrane protein density and permeability of the syncytial basal membrane (BM) are the main factors limiting the rate of glucose diffusion in the fetomaternal compartment in physiological conditions. Besides GLUT1, the GLUT3 and GLUT4 isoforms are widely expressed across the human placenta. Numerous medical conditions and molecules, such as hormones, adipokines, and xenobiotics, alter the GLUT's mRNA and protein expression. Diabetes upregulates the BM GLUT's density and promotes fetomaternal glucose transport, leading to excessive fetal growth. However, most studies have found no between-group differences in GLUTs' placental expression in macrosomic and normal control pregnancies. The fetomaternal GLUTs expression may also be influenced by several other conditions, such as chronic hypoxia, preeclampsia, and intrahepatic cholestasis of pregnancy.
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Affiliation(s)
- Rafal Sibiak
- Department of Histology and Embryology, Poznan University of Medical Sciences, 60-701 Poznan, Poland;
- Doctoral School, Poznan University of Medical Sciences, 60-701 Poznan, Poland
| | - Katarzyna Ozegowska
- Department of Infertility and Reproductive Endocrinology, Poznan University of Medical Sciences, 61-701 Poznan, Poland;
| | - Ewa Wender-Ozegowska
- Department of Reproduction, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (E.W.-O.); (P.G.)
| | - Pawel Gutaj
- Department of Reproduction, Poznan University of Medical Sciences, 61-701 Poznan, Poland; (E.W.-O.); (P.G.)
| | - Paul Mozdziak
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC 27695, USA;
| | - Bartosz Kempisty
- Department of Histology and Embryology, Poznan University of Medical Sciences, 60-701 Poznan, Poland;
- Prestage Department of Poultry Science, North Carolina State University, Raleigh, NC 27695, USA;
- Department of Anatomy, Poznan University of Medical Sciences, 60-701 Poznan, Poland
- Department of Veterinary Surgery, Institute of Veterinary Medicine, Nicolaus Copernicus University in Torun, 87-100 Torun, Poland
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Hocquette A, Monier I, Blondel B, Dufourg M, Heude B, Zeitlin J. Testing the assumptions of customized intrauterine growth charts using national birth studies. Acta Obstet Gynecol Scand 2022; 101:405-416. [PMID: 35224718 PMCID: PMC9564604 DOI: 10.1111/aogs.14335] [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: 09/13/2021] [Revised: 12/06/2021] [Accepted: 01/22/2022] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Customized intrauterine growth charts are widely used for growth monitoring and research. They are based on three assumptions: (1) estimated fetal weight (EFW) has a normal distribution with a constant coefficient of variation at all gestational ages; (2) Hadlock's growth curve accurately describes the relation between EFW and gestational ages; (3) associations between EFW and the fetal and maternal characteristics included in the customization model (fetal sex, pre-pregnancy weight, height, parity) are proportional throughout pregnancy. The aim of this study was to test whether these underlying assumptions are verified. MATERIAL AND METHODS Data came from (1) the French Longitudinal Study of Children (ELFE) cohort, which recruited births after 32 weeks' gestation in 349 maternity hospitals in France in 2011, and (2) the National Perinatal Survey, which included births from all French maternity hospitals in 2016. The study population included, respectively, 6 920 and 8 969 singleton non-malformed term live births with data on customization characteristics and EFW. We computed the coefficient of variation by gestational age and then modeled the association of gestational age, maternal and fetal characteristics with EFW at the second and third trimester ultrasound and with birthweight using linear regression. To assess the proportionality of the impact of maternal and fetal characteristics, we computed the percent change in weight associated with these characteristics at these three time points. RESULTS The coefficient of variation was close to 12% at each gestational age, but EFW was not normally distributed, leading to small but systematic underestimation of fetuses under the 10th percentile. Weights representing the 50th and 10th percentiles based on Hadlock's growth trajectory were lower than observed or predicted weights. Most characteristics more strongly impacted weight at birth than during pregnancy. In the French Longitudinal study of Children (ELFE) cohort, boys were 1.8% (95% confidence interval [CI] 1.3-2.4) heavier than girls in the third trimester, whereas this percentage was 4.6% (95% CI 4.0-5.2) at birth. In the National Perinatal Survey, these percentages were 2.3% (95% CI 1.8-2.8) and 4.3% (95% CI 3.8-4.8). CONCLUSIONS These results from two independent sources revealed discrepancies between routine clinical EFW data used for growth monitoring and the customized growth model's assumptions.
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Affiliation(s)
- Alice Hocquette
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAUniversité de ParisParisFrance
| | - Isabelle Monier
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAUniversité de ParisParisFrance
- Department of Obstetrics and Gynecology, Antoine Béclère Hospital, AP‐HPUniversity Paris SaclayClamartFrance
| | - Béatrice Blondel
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAUniversité de ParisParisFrance
| | | | - Barbara Heude
- Research Team on the Early Life Origins of Health (EAROH), Center for Research in Epidemiology and Statistics (CRESS), INSERMUniversité de ParisVillejuifFrance
| | - Jennifer Zeitlin
- CRESS, Obstetrical Perinatal and Pediatric Epidemiology Research Team, EPOPé, INSERM, INRAUniversité de ParisParisFrance
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10
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Sex-specific association of high maternal psychological stress during pregnancy on newborn birthweight. PLoS One 2022; 17:e0262641. [PMID: 35051242 PMCID: PMC8775189 DOI: 10.1371/journal.pone.0262641] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 01/03/2022] [Indexed: 02/06/2023] Open
Abstract
Birthweight is an important predictor of newborn health and has been linked to maternal psychological stress during pregnancy. However, it is unclear whether prenatal stress affects birthweight similarly for both male and female infants. We used a well-established pregnancy cohort to investigate the impact of high maternal psychological stress during pregnancy on birthweight as a function of infant sex. Overall, 5702 mother-newborn pairs were analysed. Of these, 198 mothers reported high levels of stress using the Psychological Stress Measure (nine-items version; PSM-9). Maternal psychological stress was assessed between the 24th and 28th week of gestation and analyses were performed jointly and independently as a function of neonatal sex (separate analyses for male and female infants). Newborns exposed to high maternal psychological stress during pregnancy (a score above 26 measured using the PSM-9 questionnaire, corresponding to >97.5th percentile) were compared to newborns of mothers who reported lower stress. ANCOVAs revealed that high levels of maternal stress during pregnancy were linked to infant birthweight as a function of infant sex. Male infants of mothers who reported high levels of stress had a greater birthweight whereas female infants had a lower birthweight under the same conditions, in comparison to mothers who did not report greater levels of stress. Although the effect size is small, these results underline the possibility that male and female fetuses may use different strategies when adapting to maternal adversity and highlight the need to consider infant sex as a moderator of the association between maternal psychological stress during pregnancy and infant birthweight.
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11
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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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12
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van Duijn L, Rousian M, Laven JSE, Steegers-Theunissen RPM. Periconceptional maternal body mass index and the impact on post-implantation (sex-specific) embryonic growth and morphological development. Int J Obes (Lond) 2021; 45:2369-2376. [PMID: 34290384 DOI: 10.1038/s41366-021-00901-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/08/2021] [Accepted: 06/30/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Women with obesity have an increased risk of pregnancy complications. Although complications generally present in the second and third trimester of pregnancy, most of them develop in the periconception period. Moreover, fetal sex also impacts pregnancy course and outcome. Therefore, our aim is to study (sex-specific) associations between periconceptional maternal body mass index (BMI) and embryonic growth and morphological development. METHODS A total of 884 women with singleton pregnancies were selected from the Rotterdam Periconception Cohort, comprising 15 women with underweight, 483 with normal weight, 231 with overweight and 155 with obesity. Longitudinal three-dimensional ultrasound examinations were performed at 7, 9, and 11 weeks of gestation for offline measurements of crown-rump length (CRL), embryonic volume (EV), and Carnegie stages. Analyses were adjusted for maternal age, parity, ethnicity, education, and periconceptional lifestyle. RESULTS A negative trend was observed for embryos of women with obesity (βEV -0.03, p = 0.086), whereas embryonic growth and developmental trajectories in women with overweight were comparable to those with normal weight. Maternal underweight was associated with faster morphological development (βCarnegie 0.78, p = 0.004). After stratification for fetal sex, it was demonstrated that female embryos of underweight women grow and morphologically develop faster than those of normal weight women (βEV 0.13, p = 0.008; βCarnegie 1.39, p < 0.001), whereas female embryos of women with obesity grow slower (βEV -0.05, p = 0.027). CONCLUSION We found that periconceptional maternal underweight is associated with faster embryonic growth, especially in females. In contrast, female embryos of women with obesity grow slower than female embryos of women with normal weight. This may be the result of altered female adaptation to the postnatal environment. Future research should focus on strategies for optimizing preconceptional maternal weight, to reduce BMI-related pregnancy complications and improve the health of future generations.
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Affiliation(s)
- Linette van Duijn
- Departments of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Melek Rousian
- Departments of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Joop S E Laven
- Division of Reproductive Endocrinology and Infertility, Department of Obstetrics and Gynecology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
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13
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Rolińska A, Aftyka A, Samardakiewicz M. Coping with Stress in Complicated Pregnancy and Gestational Weight Gain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph181910493. [PMID: 34639793 PMCID: PMC8507853 DOI: 10.3390/ijerph181910493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/11/2021] [Revised: 09/22/2021] [Accepted: 09/30/2021] [Indexed: 11/16/2022]
Abstract
Maternal obesity is one of the leading health problems in the world. Excessive gestational weight gain (GWG) can lead to many complications during pregnancy, especially when it is accompanied by diabetes. Moreover, the risk of excessive GWG in pregnant women is significant, irrespective of prenatal counseling. Studies on this subject concerning coping with stress are lacking in the literature. The present work is aimed at evaluating the styles of coping with stress and their relation to GWG in pregnant women with gestational diabetes (GDM) for whom sudden adaptation to dietary management during this period can be challenging. It was indicated that women with GDM reported high stress related to potential maternal-fetal complications and worries about compliance with dietary management. The overall weight gain of participants in pregnancy was determined in connection to their prepregnancy body mass index (BMI) and classified based on the Institute of Medicine guidelines. A standardized psychological scale was used to assess coping styles. The results showed that almost half of the participants did not meet the Institute of Medicine recommendations for weight gain during pregnancy. There were significant correlations between the styles of coping with stress and the GWG. Additionally, low correlations were indicated between emotional, avoidant, task-oriented coping styles and the age of pregnant women with GDM. Regression analysis showed that the stress-coping style that focused on emotions was the most predictive of overall weight gain. There is a need for a better understanding of psychological barriers in achieving the recommended GWG and potential limitations in providers' interventions, particularly for GDM.
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Affiliation(s)
- Agnieszka Rolińska
- Chair and Department of Psychology, Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland;
- Correspondence:
| | - Anna Aftyka
- Department of Anesthesiological and Intensive Care Nursing, Faculty of Health Sciences, Medical University of Lublin, 20-059 Lublin, Poland;
| | - Marzena Samardakiewicz
- Chair and Department of Psychology, Faculty of Medicine, Medical University of Lublin, 20-059 Lublin, Poland;
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14
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Voigt M, Meyer-Kahrweg LM, Landau-Crangle E, So HY, Däbritz J, Rochow M, Kunze M, Rochow N. Individualized birth length and head circumference percentile charts based on maternal body weight and height. J Perinat Med 2020; 48:656-664. [PMID: 32769226 DOI: 10.1515/jpm-2020-0085] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Accepted: 05/10/2020] [Indexed: 11/15/2022]
Abstract
Objectives Measurement of birth length and birth head circumference is part of the newborn assessment. Both measurements aid in distinguishing between proportionate and disproportionate small and large for gestational age newborns. It had been shown that birth weight is related to maternal height and weight. This study aims to analyze birth length and birth head circumference percentiles based on maternal stature. Methods This observational study analyzed birth length and birth head circumference percentiles of 2.3 million newborns stratified by maternal height and weight from the first obstetric assessment. Percentiles were calculated for sex and 22-43 gestational weeks for all infants. Eighteen subgroups based on six maternal height and three weight strata were defined and percentiles calculated from 32 to 42 gestational weeks using GAMLSS package for R. Results Newborns of mothers with height <158 cm and weight <53 kg (short stature) had a rate of preterm birth of 9%, compared to 5% in the tall stature group (height >177 cm, weight >79 kg). Small stature mothers were 1.7 years younger. Birth length differed by several centimeters for the same percentiles between groups of short and tall stature mothers, whereas birth head circumference differed up to 1.2 cm. The largest deviation of birth length was between the 97th percentiles. For male newborns born at term, birth length at the 97th percentile differed by 3.2 cm, at the 50th percentile by 2.7 cm and at the third percentile by 2.5 cm. Conclusions Birth length and birth head circumference are related to maternal height and weight. To more completely assess newborns, the maternal size should be considered.
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Affiliation(s)
- Manfred Voigt
- Department of Gynaecology, University Medical Center Freiburg, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany.,Biological Anthropology, Medical Faculty, University Freiburg, Freiburg, Germany
| | | | | | - Hon Yiu So
- Department of Statistics and Actuarial Science, University of Waterloo, Waterloo, ON, Canada
| | - Jan Däbritz
- Department of Pediatrics, University Medical Center Rostock, Rostock, Germany
| | | | - Mirjam Kunze
- Department of Gynaecology, University Medical Center Freiburg, University of Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany
| | - Niels Rochow
- Department of Pediatrics, University Medical Center Rostock, Rostock, Germany.,Department of Pediatrics, Paracelsus Medical University, Nuremberg, Germany.,Department of Pediatrics, McMaster University, Hamilton, ON, Canada
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15
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Zeegers B, Offerhaus P, Peters L, Budé L, Verhoeven C, Nieuwenhuijze M. Impact of maternal height on birthweight classification in singleton births at term: a cohort study in The Netherlands. J Matern Fetal Neonatal Med 2020; 35:3167-3174. [PMID: 32883148 DOI: 10.1080/14767058.2020.1814246] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVE To assess the association between maternal height and birthweight in a healthy population and to study the effect of maternal height on the classification of birthweight as small for gestational age (SGA) and large for gestational age (LGA). METHODS A descriptive, observational retrospective study was conducted in a low risk population in the Netherlands. The study included term singleton healthy nonsmoking pregnant women with normal body mass index (n = 9291). We calculated the impact of maternal height on birthweight using multiple linear regression analyses with adjustment for gestational age, gender, and parity. We calculated the number of newborns classified as SGA and LGA using the cutoff point of the Dutch Birthweight chart, which does not customize for maternal height. Subsequently, we calculated the changes in classification from SGA and LGA to appropriate for gestational age (AGA) in case of customization for maternal height. RESULTS A significant association was found between maternal height and birthweight; 15.0 g higher birthweight per extra cm maternal height (95% confidence interval 13.8-16.1; p<.001; R2 model = 0.28). The incidence of SGA was 7.1% (range 17.4-2.0% form shortest to tallest maternal height category) and of LGA 8.4% (range 1.9-21.5% from shortest to tallest maternal height category). We calculated a shift in classification: 114 newborns (17.3%) in shorter (<167 cm) women previously SGA and 165 newborns (21.1%) in taller (>173 cm) women previously LGA were classified as AGA when controlling for maternal height. CONCLUSIONS Maternal height is significantly associated with birthweight. Birthweight charts customized for maternal height change classification in one out of six SGA or LGA newborns at term.
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Affiliation(s)
- Bert Zeegers
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Pien Offerhaus
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Lilian Peters
- Department of Midwifery Science, AVAG, Amsterdam, The Netherlands.,Department of General Practice and Elderly Care Medicine, University Medical Center Groningen, Groningen, The Netherlands
| | - Luc Budé
- Research Center for Midwifery Science Maastricht, Maastricht, The Netherlands
| | - Corine Verhoeven
- Department of Midwifery Science, AVAG, Amsterdam, The Netherlands.,School of Health Sciences, University of Nottingham, Nottingham, UK
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16
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Voigt M, Rochow N, Landau-Crangle E, Meyer-Kahrweg LM, Olbertz DM, Kunze M, Nikischin W, Wittwer-Backofen U, Rochow M, Däbritz J, Hentschel R. Individualized sex-specific birth weight percentiles for gestational age based on maternal height and weight. J Perinat Med 2020; 49:94-103. [PMID: 32866126 DOI: 10.1515/jpm-2020-0119] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 08/04/2020] [Indexed: 11/15/2022]
Abstract
OBJECTIVES The maternal body size affects birth weight. The impact on birth weight percentiles is unknown. The objective of the study was to develop birth weight percentiles based on maternal height and weight. METHODS This observational study analyzed 2.2 million singletons from the German Perinatal Survey. Data were stratified into 18 maternal height and weight groups. Sex-specific birth weight percentiles were calculated from 31 to 42 weeks and compared to percentiles from the complete dataset using the GAMLSS package for R statistics. RESULTS Birth weight percentiles not considering maternal size showed 22% incidence of small for gestational age (SGA) and 2% incidence of large for gestational age (LGA) for the subgroup of newborns from petite mothers, compared to a 4% SGA and 26% LGA newborns from big mothers. The novel percentiles based on 18 groups stratified by maternal height and weight for both sexes showed significant differences between identical original percentiles. The differences were up to almost 800 g between identical percentiles for petite and big mothers. The 97th and 50th percentile from the group of petite mothers almost overlap with the 50th and 3rd percentile from the group of big mothers. CONCLUSIONS There is a clinically significant difference in birth weight percentiles when stratified by maternal height and weight. It could be hypothesized that birth weight charts stratified by maternal anthropometry could provide higher specificity and more individual prediction of perinatal risks. The new percentiles may be used to evaluate estimated fetal as well as birth weight.
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Affiliation(s)
- Manfred Voigt
- Department of Gynecology and Obstetrics, University of Freiburg School of Medicine, Freiburg, Germany.,Biological Anthropology, Medical Faculty, University of Freiburg, Freiburg, Germany
| | - Niels Rochow
- Department of Pediatrics, Paracelsus Medical University, Nuremberg, Germany.,Department of Pediatrics, Rostock University Medical Center, Rostock, Germany.,Department of Pediatrics, McMaster University, Hamilton, ON, Canada
| | | | | | | | - Mirjam Kunze
- Department of Gynecology and Obstetrics, University of Freiburg School of Medicine, Freiburg, Germany
| | - Werner Nikischin
- Institute of Emergency Medicine, University of Kiel, Kiel, Germany
| | | | | | - Jan Däbritz
- Department of Pediatrics, Rostock University Medical Center, Rostock, Germany
| | - Roland Hentschel
- Department of Pediatrics and Adolescent Medicine, Division of Neonatology/Intensive Care Medicine, University Hospital, Freiburg, Germany
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17
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Caesarean sections are associated with sonographic determined fetal size from the second trimester onwards. ANTHROPOLOGICAL REVIEW 2020. [DOI: 10.2478/anre-2020-0012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
Human birth represents a critical and life-threatening event in the life of mother and child and is therefore of special importance for anthropological as well as public health research.
Study aims: to analyze the association patterns between fetal biometry and delivery modes from the first trimester onwards.
In this electronic medical record-based study, a dataset of 3408 singleton term birth taking place at the Viennese Danube hospital in Austria. was analyzed. Fetal biometry was reconstructed by the results of three ultrasound examinations carried out at the 11th/12th, 20th/21th and 32th/33thweek of gestation. In detail, crown-rump length, biparietal diameter, fronto-occipital diameter, head circumference, abdominal trans-verse diameter, abdominal sagittal diameter, abdominal circumference, and femur length were determined. Birth weight, birth length and head circumference were measured immediately after birth. Four delivery modes were compared: spontaneous vaginal birth, instrumental vaginal birth, planned cesarean section and emergency cesarean section.
The total cesarean section rate was 10.2%. Fetal biometry and newborn size differed significantly between the four delivery modes. From the second trimester onward, head circumferences were significantly larger (p=0.005) among fetuses delivered by instrumental delivery or emergency cesarean section than among fetuses delivered by spontaneous vaginal birth. The fetal abdominal dimensions during the third trimester were significantly largest (p=0.001) among fetuses delivered by emergency cesarean section. In comparison to spontaneous vaginal delivery the risk to require instrumental delivery increased significantly with increasing fetal head dimensions at the second (p=0.019) and third trimester(p=0.032) independent of maternal somatic factors. The risk of emergency CS increased significantly with increasing head dimensions (p=0.030) as well as abdominal dimensions (p=0.001) at the third trimester and newborn size (p=0.002), also independently of maternal somatic factors.
In general, larger fetuses are on an increased risk of experiencing instrumental delivery or emergency caesarean section. This association between fetal size and delivery mode is detectable from the second trimester onwards.
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Mwanamsangu AH, Mahande MJ, Mazuguni FS, Bishanga DR, Mazuguni N, Msuya SE, Mosha D. Maternal obesity and intrapartum obstetric complications among pregnant women: Retrospective cohort analysis from medical birth registry in Northern Tanzania. Obes Sci Pract 2020; 6:171-180. [PMID: 32313675 PMCID: PMC7156821 DOI: 10.1002/osp4.395] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2019] [Revised: 11/17/2019] [Accepted: 11/19/2019] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND In the last decade, Tanzania has observed a dramatic increase in overweight and obesity among women of childbearing age, a demographic shift that has been associated with intrapartum obstetric complications in high-income countries. Similar increases in maternal morbidity including postpartum haemorrhage, hypertensive disorders of pregnancy, and rates of caesarean delivery have not yet documented in Tanzania. This analysis describes intrapartum obstetric complications associated with maternal obesity among pregnant women delivering at teaching hospital in Northern Tanzania. METHODS A retrospective cohort analysis was conducted using the hospital's antenatal care (ANC) and birth registries from 2000 to 2015. The World Health Organization (WHO) body mass index (BMI) categories were applied to classify BMI status of pregnant women within 16 weeks of gestational age at their first ANC visit. Relative risk (RR) of obstetric complications with corresponding 95% confidence intervals (CIs) were estimated using multivariable log-binomial regression, adjusting for clustering effect for the correlation between multiple deliveries of the same woman. RESULTS Among 11 873 women who delivered babies in the hospital during the study period, 3139 (26.5%) fit the definition of overweight and 1464 (12.3%) women with obesity. Compared with women with normal weight, women with obesity were at over 2.6 times at risks of experiencing pre-eclampsia/eclampsia (RR: 2.66; 95% CI, 2.08-3.40), pregnancy-induced hypertension (RR 2.13; 95% CI, 1.26-3.62), and postpartum haemorrhage (RR 1.22; 95% CI, 1.00-1.49). Additionally, women with obesity had also higher risk of either elective (RR 2.40; 95% CI, 1.88-3.06) or emergency (RR: 1.53; 95% CI, 1.34-1.75) caesarean delivery. CONCLUSION Maternal obesity is an emerging health problem in Tanzania. This study clearly demonstrates an association between increased risk of intrapartum complications and obesity. A review of guidelines around ANC screening and intrapartum care practices considering BMI, as well as appropriate messages for women with obesity, should be considered to improve maternal and newborn outcomes.
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Affiliation(s)
- Amasha H. Mwanamsangu
- Department of Epidemiology and Biostatistics, Institute of Public HealthKilimanjaro Christian Medical University CollegeMoshiTanzania
- Department of Monitoring Evaluation and ResearchJhpiego TanzaniaDar es SalaamTanzania
| | - Michael J. Mahande
- Department of Epidemiology and Biostatistics, Institute of Public HealthKilimanjaro Christian Medical University CollegeMoshiTanzania
| | - Festo S. Mazuguni
- Department of Epidemiology and Biostatistics, Institute of Public HealthKilimanjaro Christian Medical University CollegeMoshiTanzania
| | - Dunstan R. Bishanga
- School of Public Health and Social SciencesMuhimbili University of Health and Allied SciencesTanzania
| | - Nickolas Mazuguni
- Department of Obstetrics and GynecologyKilimanjaro Christian Medical CentreMoshiTanzania
| | - Sia E. Msuya
- Department of Community HealthInstitute of Public Health, Kilimanjaro Christian Medical CollegeMoshiTanzania
| | - Dominic Mosha
- Department of Community HealthInstitute of Public Health, Kilimanjaro Christian Medical CollegeMoshiTanzania
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Meng M, Jiang Y, Zhu L, Wang G, Lin Q, Sun W, Song Y, Dong S, Deng Y, Rong T, Zhu Q, Mei H, Jiang F. Effect of maternal sleep in late pregnancy on leptin and lipid levels in umbilical cord blood. Sleep Med 2019; 77:376-383. [PMID: 32839086 DOI: 10.1016/j.sleep.2019.11.1194] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2019] [Revised: 10/31/2019] [Accepted: 11/05/2019] [Indexed: 12/24/2022]
Abstract
OBJECTIVES To study the impact of maternal sleep in late pregnancy on birth weight (BW) and leptin and lipid levels in umbilical cord blood. STUDY DESIGN A total of 277 healthy and singleton pregnancy women were recruited for participation in the Shanghai Sleep Birth Cohort Study (SSBC) during their 36-38 weeks of pregnancy, from May 2012 to July 2013. Maternal night sleep time (NST), sleep efficiency (SE), sleep onset latency (SOL) and the percentage of wake after sleep onset (WASO) in NST and midpoint of sleep (MSF) were measured by actigraphy for seven consecutive days. The leptin and lipid levels were determined in cord blood samples collected from the umbilical vein immediately after delivery. Birth information (birth weight, gender, delivery type, etc.) was extracted from medical records. A multivariable linear regression model was applied to examine the effect of maternal sleep in late pregnancy on newborn leptin and lipid levels in umbilical cord blood. RESULTS A total of 177 women and their infants were included in the analysis. Maternal mean NST was 7.03 ± 1.10 h in late pregnancy, and 48% had a shorter sleep time (NST < 7 h). The average maternal SE was 72.54% ± 9.66%. The mean percentage WASO/NST was 21.62% ± 9.98%; the average MSF was about 3:34 (0:53); and the SOL was 46.78 ± 36.00 min. After adjustment for confounders, both maternal NST and SE were found to be significantly associated with triglyceride levels (β = -0.219, p = 0.006; β = -0.224, p = 0.006) in umbilical cord blood; and maternal NST was also observed to have positive association with newborn leptin levels (β = 0.146, p = 0.047). However, we did not find significant association between other maternal sleep parameters in late pregnancy and leptin and lipid levels and birth weight. CONCLUSIONS Short sleep duration and poor sleep quality during late pregnancy were associated with newborn leptin and lipid levels, and efforts on improving maternal sleep during late pregnancy should be advocated for children's health.
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Affiliation(s)
- Min Meng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yanrui Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Lixia Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Guanghai Wang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qingmin Lin
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Wanqi Sun
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yuanjin Song
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Shumei Dong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Yujiao Deng
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Tingyu Rong
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Qi Zhu
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China
| | - Hao Mei
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Pediatric Translational Medicine Institute, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Department of Data Science, School of Population Health, University of Mississippi Medical Center, Jackson, MS, USA
| | - Fan Jiang
- Department of Developmental and Behavioral Pediatrics, Pediatric Translational Medicine Institution, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China; MOE-Shanghai Key Laboratory of Environment and Child Health, Shanghai, China.
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Msollo SS, Martin HD, Mwanri AW, Petrucka P. Prevalence of hyperglycemia in pregnancy and influence of body fat on development of hyperglycemia in pregnancy among pregnant women in urban areas of Arusha region, Tanzania. BMC Pregnancy Childbirth 2019; 19:315. [PMID: 31455272 PMCID: PMC6712730 DOI: 10.1186/s12884-019-2463-8] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 08/19/2019] [Indexed: 12/16/2022] Open
Abstract
Background Hyperglycemia in pregnancy is a medical condition resulting from either pre-existing diabetes or insulin resistance developed during pregnancy. This study aimed to determine the prevalence of hyperglycemia in pregnancy and influence of body fat percentage and other determinants on developing hyperglycemia in pregnancy among women in Arusha District, Tanzania. Methods A cross–sectional study was conducted between March and December 2018 at selected health facilities in Arusha District involving 468 pregnant women who were not known to have diabetes before pregnancy. Blood glucose was tested by Gluco-Plus™ using the World Health Organization criteria at fasting and 2 h after consuming 75 g of glucose dissolved in 300 ml of water. Body fat was measured using a bioelectric impedance analyzer, mid-upper arm circumference using a regulated tape, weight using SECA™, blood pressure using a GT-868UF Geratherm™ machine, and height using a stadiometer. Demographic and maternal characteristics were collected through face to face interviews using a structured questionnaire. Results The participants’ mean age was 28 years (SD ± 6), mid-upper arm circumference 27 cm (SD ± 3.7), body fat 33.72% (SD ± 7.2) and pre-pregnancy body mass index 25.6 kg/m2 (SD ± 5.5). One-third of participants had mid-upper arm circumferences ≥28 cm with 25% being overweight and 22.7% obese before pregnancy. Prevalence of hyperglycemia in pregnancy was 16.2% (n = 76) of which 13% had gestational diabetes and 3.2% diabetes in pregnancy. Hyperglycemia in pregnancy was significantly associated with body fat percentage (AOR 1.33; 95% CI: 1.22–1.44), family history of Type 2 diabetes mellitus (AOR 6.95, 95% CI: 3.11–15.55), previous delivery of babies ≥4 kg (AOR 2.3, 95% CI: 1.00–5.28), mid-upper arm circumference ≥ 28 cm (AOR 1.2, 95% CI: 1.09–1.32), and Type 2 diabetes mellitus symptoms (AOR 2.83, 95% CI: 1.53–6.92). Conclusion The prevalence of hyperglycemia in pregnancy was high, particularly among women with history of delivering ≥4-kg babies, increased body fat, mid-upper arm circumference, symptoms and/or family history of Type 2 diabetes mellitus. These findings identify opportunities to further explore the utility of body fat percentage and other determinants for rapid screening and management of hyperglycemia in pregnancy.
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Affiliation(s)
- Safiness Simon Msollo
- Department of Food Biotechnology and Nutritional Sciences in School of Life Sciences, Nelson Mandela African Institution of Science and Technology, P. O. Box 477, Arusha, Tanzania. .,Department of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania.
| | - Haikael David Martin
- Department of Food Biotechnology and Nutritional Sciences in School of Life Sciences, Nelson Mandela African Institution of Science and Technology, P. O. Box 477, Arusha, Tanzania
| | - Akwilina Wendelin Mwanri
- Department of Food Technology, Nutrition and Consumer Sciences, Sokoine University of Agriculture, Morogoro, Tanzania
| | - Pammla Petrucka
- College of Nursing, University of Saskatchewan, Saskatoon, Canada
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21
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Santos S, Voerman E, Amiano P, Barros H, Beilin LJ, Bergström A, Charles MA, Chatzi L, Chevrier C, Chrousos GP, Corpeleijn E, Costa O, Costet N, Crozier S, Devereux G, Doyon M, Eggesbø M, Fantini MP, Farchi S, Forastiere F, Georgiu V, Godfrey KM, Gori D, Grote V, Hanke W, Hertz-Picciotto I, Heude B, Hivert MF, Hryhorczuk D, Huang RC, Inskip H, Karvonen AM, Kenny LC, Koletzko B, Küpers LK, Lagström H, Lehmann I, Magnus P, Majewska R, Mäkelä J, Manios Y, McAuliffe FM, McDonald SW, Mehegan J, Melén E, Mommers M, Morgen CS, Moschonis G, Murray D, Ní Chaoimh C, Nohr EA, Nybo Andersen AM, Oken E, Oostvogels A, Pac A, Papadopoulou E, Pekkanen J, Pizzi C, Polanska K, Porta D, Richiardi L, Rifas-Shiman SL, Roeleveld N, Ronfani L, Santos AC, Standl M, Stigum H, Stoltenberg C, Thiering E, Thijs C, Torrent M, Tough SC, Trnovec T, Turner S, van Gelder M, van Rossem L, von Berg A, Vrijheid M, Vrijkotte T, West J, Wijga AH, Wright J, Zvinchuk O, Sørensen T, Lawlor DA, Gaillard R, Jaddoe V. Impact of maternal body mass index and gestational weight gain on pregnancy complications: an individual participant data meta-analysis of European, North American and Australian cohorts. BJOG 2019; 126:984-995. [PMID: 30786138 DOI: 10.1111/1471-0528.15661] [Citation(s) in RCA: 235] [Impact Index Per Article: 47.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/06/2019] [Indexed: 01/06/2023]
Abstract
OBJECTIVE To assess the separate and combined associations of maternal pre-pregnancy body mass index (BMI) and gestational weight gain with the risks of pregnancy complications and their population impact. DESIGN Individual participant data meta-analysis of 39 cohorts. SETTING Europe, North America, and Oceania. POPULATION 265 270 births. METHODS Information on maternal pre-pregnancy BMI, gestational weight gain, and pregnancy complications was obtained. Multilevel binary logistic regression models were used. MAIN OUTCOME MEASURES Gestational hypertension, pre-eclampsia, gestational diabetes, preterm birth, small and large for gestational age at birth. RESULTS Higher maternal pre-pregnancy BMI and gestational weight gain were, across their full ranges, associated with higher risks of gestational hypertensive disorders, gestational diabetes, and large for gestational age at birth. Preterm birth risk was higher at lower and higher BMI and weight gain. Compared with normal weight mothers with medium gestational weight gain, obese mothers with high gestational weight gain had the highest risk of any pregnancy complication (odds ratio 2.51, 95% CI 2.31- 2.74). We estimated that 23.9% of any pregnancy complication was attributable to maternal overweight/obesity and 31.6% of large for gestational age infants was attributable to excessive gestational weight gain. CONCLUSIONS Maternal pre-pregnancy BMI and gestational weight gain are, across their full ranges, associated with risks of pregnancy complications. Obese mothers with high gestational weight gain are at the highest risk of pregnancy complications. Promoting a healthy pre-pregnancy BMI and gestational weight gain may reduce the burden of pregnancy complications and ultimately the risk of maternal and neonatal morbidity. TWEETABLE ABSTRACT Promoting a healthy body mass index and gestational weight gain might reduce the population burden of pregnancy complications.
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Affiliation(s)
- S Santos
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - E Voerman
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - P Amiano
- Public Health Division of Gipuzkoa, San Sebastián, Spain.,BioDonostia Research Institute, San Sebastián, Spain.,CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - H Barros
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - L J Beilin
- Medical School, Royal Perth Hospital Unit, The University of Western Australia, Perth, WA, Australia
| | - A Bergström
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Centre for Occupational and Environmental Medicine, Stockholm County Council, Stockholm, Sweden
| | - M-A Charles
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - L Chatzi
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.,Faculty of Medicine, Department of Social Medicine, University of Crete, Heraklion, Greece.,Department of Genetics and Cell Biology, Maastricht University, Maastricht, the Netherlands
| | - C Chevrier
- Inserm UMR 1085, Irset - Research Institute for Environmental and Occupational Health, Rennes, France
| | - G P Chrousos
- First Department of Pediatrics, Athens University Medical School, 'Aghia Sophia' Children's Hospital, National and Kapodistrian University of Athens, Athens, Greece
| | - E Corpeleijn
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - O Costa
- Epidemiology and Environmental Health Joint Research Unit, FISABIO-Universitat Jaume I-Universitat de València, Valencia, Spain
| | - N Costet
- Inserm UMR 1085, Irset - Research Institute for Environmental and Occupational Health, Rennes, France
| | - S Crozier
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK
| | - G Devereux
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - M Doyon
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada
| | - M Eggesbø
- Department of Exposure and Environmental Epidemiology, Norwegian Institute of Public Health, Oslo, Norway
| | - M P Fantini
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - S Farchi
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - F Forastiere
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - V Georgiu
- Faculty of Medicine, Department of Social Medicine, University of Crete, Heraklion, Greece
| | - K M Godfrey
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - D Gori
- The Department of Biomedical and Neuromotor Sciences, University of Bologna, Bologna, Italy
| | - V Grote
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, Munich, Germany
| | - W Hanke
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - I Hertz-Picciotto
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, USA
| | - B Heude
- INSERM, UMR1153 Epidemiology and Biostatistics Sorbonne Paris Cité Center (CRESS), ORCHAD Team, Villejuif, France.,Paris Descartes University, Villejuif, France
| | - M-F Hivert
- Centre de Recherche du Centre Hospitalier de l'Universite de Sherbrooke, Sherbrooke, QC, Canada.,Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA.,Diabetes Unit, Massachusetts General Hospital, Boston, MA, USA
| | - D Hryhorczuk
- Center for Global Health, University of Illinois College of Medicine, Chicago, IL, USA
| | - R-C Huang
- Telethon Kids Institute, The University of Western Australia, Perth, WA, Australia
| | - H Inskip
- MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, UK.,NIHR Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | - A M Karvonen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland
| | - L C Kenny
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Department of Obstetrics and Gynaecology, Cork University Maternity Hospital, Cork, Ireland
| | - B Koletzko
- Division of Metabolic and Nutritional Medicine, Dr. von Hauner Children's Hospital, Ludwig-Maximilian-Universität Munich, Munich, Germany
| | - L K Küpers
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.,MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, University of Bristol, Bristol, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK.,Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - H Lagström
- Department of Public Health, University of Turku, Turku, Finland
| | - I Lehmann
- Department of Environmental Immunology/Core Facility Studies, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany
| | - P Magnus
- Division of Health Data and Digitalization, Norwegian Institute of Public Health, Oslo, Norway
| | - R Majewska
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - J Mäkelä
- Turku Centre for Biotechnology, University of Turku and Abo Akademi University, Turku, Finland
| | - Y Manios
- Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, Athens, Greece
| | - F M McAuliffe
- UCD Perinatal Research Centre, Obstetrics& Gynaecology, School of Medicine, National Maternity Hospital, University College Dublin, Dublin, Ireland
| | - S W McDonald
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - J Mehegan
- UCD Perinatal Research Centre, School of Public Health and Physiotherapy and Sports Science, University College Dublin, Dublin, Ireland
| | - E Melén
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.,Sach's Children Hospital, Stockholm, Sweden
| | - M Mommers
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - C S Morgen
- National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark.,Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - G Moschonis
- Department of Rehabilitation, Nutrition and Sport, La Trobe University, Melbourne, Vic, Australia
| | - D Murray
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Paediatrics & Child Health, University College Cork, Cork, Ireland
| | - C Ní Chaoimh
- Irish Centre for Fetal and Neonatal Translational Research, Cork University Maternity Hospital, University College Cork, Cork, Ireland.,Cork Centre for Vitamin D and Nutrition Research, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland
| | - E A Nohr
- Research Unit for Gynaecology and Obstetrics, Institute for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - A-M Nybo Andersen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark
| | - E Oken
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Ajjm Oostvogels
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - A Pac
- Department of Epidemiology, Chair of Epidemiology and Preventive Medicine, Jagiellonian University Medical College, Krakow, Poland
| | - E Papadopoulou
- Department of Environmental Exposures and Epidemiology, Domain of Infection Control and Environmental Health, Norwegian Institute of Public Health, Oslo, Norway
| | - J Pekkanen
- Department of Health Security, National Institute for Health and Welfare, Kuopio, Finland.,Department of Public Health, University of Helsinki, Helsinki, Finland
| | - C Pizzi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - K Polanska
- Department of Environmental Epidemiology, Nofer Institute of Occupational Medicine, Lodz, Poland
| | - D Porta
- Department of Epidemiology, Lazio Regional Health Service, Rome, Italy
| | - L Richiardi
- Department of Medical Sciences, University of Turin, Turin, Italy
| | - S L Rifas-Shiman
- Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - N Roeleveld
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands
| | - L Ronfani
- Institute for Maternal and Child Health - IRCCS 'Burlo Garofolo', Trieste, Italy
| | - A C Santos
- EPIUnit - Instituto de Saúde Pública, Universidade do Porto, Porto, Portugal.,Department of Public Health and Forensic Sciences and Medical Education, Unit of Clinical Epidemiology, Predictive Medicine and Public Health, University of Porto Medical School, Porto, Portugal
| | - M Standl
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany
| | - H Stigum
- Department of Non-communicable Diseases, Norwegian Institute of Public Health, Oslo, Norway
| | - C Stoltenberg
- Norwegian Institute of Public Health, Oslo, Norway.,Department of Global Public Health and Primary Care, University of Bergen, Bergen, Norway
| | - E Thiering
- Institute of Epidemiology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany.,Dr. von Hauner Children's Hospital, Ludwig-Maximilians-University Munich, Munich, Germany
| | - C Thijs
- Department of Epidemiology, Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - M Torrent
- Ib-salut, Area de Salut de Menorca, Menorca, Spain
| | - S C Tough
- Department of Pediatrics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.,Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - T Trnovec
- Department of Environmental Medicine, Slovak Medical University, Bratislava, Slovak Republic
| | - S Turner
- Child Health, Royal Aberdeen Children's Hospital, Aberdeen, UK
| | - Mmhj van Gelder
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, the Netherlands.,Radboud REshape Innovation Center, Radboud University Medical Center, Nijmegen, the Netherlands
| | - L van Rossem
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands
| | - A von Berg
- Department of Pediatrics, Research Institute, Marien-Hospital Wesel, Wesel, Germany
| | - M Vrijheid
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.,ISGlobal, Institute for Global Health, Barcelona, Spain.,Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - Tgm Vrijkotte
- Department of Public Health, Amsterdam Public Health Research Institute, Academic Medical Center, Amsterdam, the Netherlands
| | - J West
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - A H Wijga
- National Institute for Public Health and the Environment, Bilthoven, the Netherlands
| | - J Wright
- Bradford Institute for Health Research, Bradford Royal Infirmary, Bradford, UK
| | - O Zvinchuk
- Department of Medical and Social Problems of Family Health, Institute of Pediatrics, Obstetrics and Gynecology, Kyiv, Ukraine
| | - Tia Sørensen
- Department of Public Health, Section of Epidemiology, University of Copenhagen, Copenhagen, Denmark.,Section of Metabolic Genetics, Faculty of Health and Medical Sciences, The Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - D A Lawlor
- MRC Integrative Epidemiology Unit, Oakfield House, Oakfield Grove, University of Bristol, Bristol, UK.,Population Health Science, Bristol Medical School, University of Bristol, Bristol, UK
| | - R Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Vwv Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Pediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.,Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
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22
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Odland Karlsen H, Johnsen SL, Rasmussen S, Trae G, Reistad HMT, Kiserud T. The human yolk sac size reflects involvement in embryonic and fetal growth regulation. Acta Obstet Gynecol Scand 2018; 98:176-182. [PMID: 30218536 DOI: 10.1111/aogs.13466] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 09/02/2018] [Accepted: 09/05/2018] [Indexed: 12/12/2022]
Abstract
INTRODUCTION The human yolk sac provides the embryo with stem cells, nutrients, and gas exchange. We hypothesized that more maternal resources, reflected in body size and body composition, would condition a a larger yolk sac, ensuring resources for the growing embryo. Thus, we aimed to determine the relation between maternal size in early pregnancy and yolk sac size. MATERIAL AND METHODS This subsidiary study was embedded in the multinational World Health Organization fetal growth project that included healthy women with a body mass index of 18-30, reliable information of their regular last menstrual period and singleton pregnancies. Yolk sac diameter, crown-rump length, and maternal height, weight, body mass index, and body composition were assessed before 13 weeks of gestation, and the fetal biometry was repeated during the pregnancy. RESULTS Of 140 participants, 122 with a successful yolk sac measurement were entered in the present analysis. Maternal weight was negatively associated with the yolk sac diameter (P = 0.007) and so was maternal height (P = 0.011), fat mass (P = 0.037), and lean body mass (P = 0.018), but not body mass index (P = 0.121). Significant effects were predominantly due to the female embryos and could be traced at 24 weeks of gestation. That is, a small yolk sac : crown-rump length ratio in early pregnancy was associated with a high fetal abdominal circumference (P < 0.001) and estimated fetal weight (P = 0.001). CONCLUSIONS The human yolk sac is involved in the regulation of embryonic growth, but contrary to our hypothesis, the yolk sac has a compensatory capacity, being larger when the mothers are smaller; and the effect can be traced on fetal size at 24 weeks of gestation.
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Affiliation(s)
| | - Synnøve L Johnsen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
| | - Svein Rasmussen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Gro Trae
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Hilde M T Reistad
- Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Torvid Kiserud
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.,Department of Clinical Science, University of Bergen, Bergen, Norway
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23
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Lassek WD, Gaulin SJC. Do the Low WHRs and BMIs Judged Most Attractive Indicate Higher Fertility? EVOLUTIONARY PSYCHOLOGY 2018; 16:1474704918800063. [PMID: 30296846 PMCID: PMC10480809 DOI: 10.1177/1474704918800063] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2018] [Accepted: 08/20/2018] [Indexed: 12/30/2022] Open
Abstract
We examine the widely accepted view that very low waist-hip ratios and low body mass indices (BMIs) in women in well-nourished populations are judged attractive by men because these features reliably indicate superior fertility. In both subsistence and well-nourished populations, relevant studies of fertility do not support this view. Rather studies indicate lower fertility in women with anthropometric values associated with high attractiveness. Moreover, low maternal BMI predisposes to conditions that compromise infant survival. Consistent with these findings from the literature, new data from a large U.S. sample of women past reproductive age show that women with lower BMIs in the late teens had fewer live births, controlling for education, marital history, and race. They also had later menarche and earlier menopause compared with women with higher youth BMIs. In addition, data from the 2013 U.S. natality database show that mothers with lower prepregnancy BMIs have an increased risk of producing both low-birth-weight and preterm infants controlling for other relevant variables-conditions that would have adversely affected fitness over almost all of human evolution. Thus, a review of the relevant literature and three new tests fail to support the view that highly attractive women are more fertile.
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Affiliation(s)
- William D. Lassek
- Department of Anthropology, University of California at Santa Barbara, Santa Barbara, CA, USA
| | - Steven J. C. Gaulin
- Department of Anthropology, University of California at Santa Barbara, Santa Barbara, CA, USA
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24
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Cheng Y, Leung TY, Lao T, Chan YM, Sahota DS. Impact of replacing Chinese ethnicity-specific fetal biometry charts with the INTERGROWTH-21(st) standard. BJOG 2018; 123 Suppl 3:48-55. [PMID: 27627597 DOI: 10.1111/1471-0528.14008] [Citation(s) in RCA: 43] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/09/2016] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To assess the impact of adopting the INTERGROWTH-21(st) biometry standards in a Chinese population. DESIGN Retrospective cohort study. SETTING A teaching hospital in Hong Kong. POPULATION A total of 10 527 Chinese women with a singleton pregnancy having a second- or third-trimester fetal anomaly or growth scan between January 2009 and June 2014. METHODS Z-scores were derived for fetal abdominal circumference (AC), head circumference (HC), and femur length (FL) using the INTERGROWTH-21(st) and Chinese biometry standards. Pregnancies with aneuploidy, structural or skeletal abnormalities, or that developed pre-eclampsia were excluded. Z-scores were stratified as <2.5th, <5th, <10th, >90th, >95th, or >97.5th percentile. Birthweight centile, adjusted for gestation and gender, was categorised as ≤3rd, 3rd to ≤5th, 5th to ≤10th, and >10th. Pairwise comparison and the McNemar test were performed to assess biometry Z-score differences and concordance between the INTERGROWTH-21(st) and Chinese standards. MAIN OUTCOME MEASURES The sensitivity of both the local and INTERGROWTH-21(st) AC standards to identify pregnancies that were small-for-gestational-age (SGA) was assessed. RESULTS INTERGROWTH-21(st) AC, HC, and FL Z-scores were significantly lower than those obtained using our local reference for AC, HC, and FL (P < 0.0001 for all). The proportion of fetuses with biometry in the <2.5th, <5th, <10th, >90th, >95th, or >97.5th percentiles was statistically significant (P < 0.01 for all). A total of 1224 (15.5%) of the scans at 18-22 weeks of gestation had AC, HC, or FL below the 3rd percentile of the INTERGROWTH-21(st) standard. CONCLUSIONS Adopting the INTERGROWTH-21(st) standard would lead to a significant number of fetuses being at risk of misdiagnosis for small fetal size, particularly when using HC and FL measures. TWEETABLE ABSTRACT INTERGROWTH-21(st) biometry assessment in Chinese leads to fetuses being at risk of misdiagnosis of small fetal size.
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Affiliation(s)
- Yky Cheng
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - T Y Leung
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Tth Lao
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - Y M Chan
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China
| | - D S Sahota
- Department of Obstetrics and Gynaecology, The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, Hong Kong SAR, China.
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25
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Tarca AL, Romero R, Gudicha DW, Erez O, Hernandez-Andrade E, Yeo L, Bhatti G, Pacora P, Maymon E, Hassan SS. A new customized fetal growth standard for African American women: the PRB/NICHD Detroit study. Am J Obstet Gynecol 2018; 218:S679-S691.e4. [PMID: 29422207 DOI: 10.1016/j.ajog.2017.12.229] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Revised: 12/21/2017] [Accepted: 12/22/2017] [Indexed: 01/08/2023]
Abstract
BACKGROUND The assessment of fetal growth disorders requires a standard. Current nomograms for the assessment of fetal growth in African American women have been derived either from neonatal (rather than fetal) biometry data or have not been customized for maternal ethnicity, weight, height, and parity and fetal sex. OBJECTIVE We sought to (1) develop a new customized fetal growth standard for African American mothers; and (2) compare such a standard to 3 existing standards for the classification of fetuses as small (SGA) or large (LGA) for gestational age. STUDY DESIGN A retrospective cohort study included 4183 women (4001 African American and 182 Caucasian) from the Detroit metropolitan area who underwent ultrasound examinations between 14-40 weeks of gestation (the median number of scans per pregnancy was 5, interquartile range 3-7) and for whom relevant covariate data were available. Longitudinal quantile regression was used to build models defining the "normal" estimated fetal weight (EFW) centiles for gestational age in African American women, adjusted for maternal height, weight, and parity and fetal sex, and excluding pathologic factors with a significant effect on fetal weight. The resulting Perinatology Research Branch/Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, PRB/NICHD) growth standard was compared to 3 other existing standards--the customized gestation-related optimal weight (GROW) standard; the Eunice Kennedy Shriver National Institute of Child Health and Human Development (hereinafter, NICHD) African American standard; and the multinational World Health Organization (WHO) standard--utilized to screen fetuses for SGA (<10th centile) or LGA (>90th centile) based on the last available ultrasound examination for each pregnancy. RESULTS First, the mean birthweight at 40 weeks was 133 g higher for neonates born to Caucasian than to African American mothers and 150 g higher for male than female neonates; maternal weight, height, and parity had a positive effect on birthweight. Second, analysis of longitudinal EFW revealed the following features of fetal growth: (1) all weight centiles were about 2% higher for male than for female fetuses; (2) maternal height had a positive effect on EFW, with larger fetuses being affected more (2% increase in the 95th centile of weight for each 10-cm increase in height); and (3) maternal weight and parity had a positive effect on EFW that increased with gestation and varied among the weight centiles. Third, the screen-positive rate for SGA was 7.2% for the NICHD African American standard, 12.3% for the GROW standard, 13% for the WHO standard customized by fetal sex, and 14.4% for the PRB/NICHD customized standard. For all standards, the screen-positive rate for SGA was at least 2-fold higher among fetuses delivered preterm than at term. Fourth, the screen-positive rate for LGA was 8.7% for the GROW standard, 9.2% for the PRB/NICHD customized standard, 10.8% for the WHO standard customized by fetal sex, and 12.3% for the NICHD African American standard. Finally, the highest overall agreement among standards was between the GROW and PRB/NICHD customized standards (Cohen's interrater agreement, kappa = 0.85). CONCLUSION We developed a novel customized PRB/NICHD fetal growth standard from fetal data in an African American population without assuming proportionality of the effects of covariates, and without assuming that these effects are equal on all centiles of weight; we also provide an easy-to-use centile calculator. This standard classified more fetuses as being at risk for SGA compared to existing standards, especially among fetuses delivered preterm, but classified about the same number of LGA. The comparison among the 4 growth standards also revealed that the most important factor determining agreement among standards is whether they account for the same factors known to affect fetal growth.
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Affiliation(s)
- Adi L Tarca
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Computer Science, Wayne State University College of Engineering, Detroit, MI
| | - Roberto Romero
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, University of Michigan, Ann Arbor, MI; Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI.
| | - Dereje W Gudicha
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Offer Erez
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Edgar Hernandez-Andrade
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Lami Yeo
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Gaurav Bhatti
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI
| | - Percy Pacora
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Eli Maymon
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI
| | - Sonia S Hassan
- Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development/National Institutes of Health/US Department of Health and Human Services, Bethesda, MD, and Detroit, MI; Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, MI; Department of Physiology, Wayne State University School of Medicine, Detroit, MI
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Zhang C, Hediger ML, Albert PS, Grewal J, Sciscione A, Grobman WA, Wing DA, Newman RB, Wapner R, D’Alton ME, Skupski D, Nageotte MP, Ranzini AC, Owen J, Chien EK, Craigo S, Kim S, Grantz KL, Louis GMB. Association of Maternal Obesity With Longitudinal Ultrasonographic Measures of Fetal Growth: Findings From the NICHD Fetal Growth Studies-Singletons. JAMA Pediatr 2018; 172:24-31. [PMID: 29131898 PMCID: PMC5808867 DOI: 10.1001/jamapediatrics.2017.3785] [Citation(s) in RCA: 68] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Despite the increasing prevalence of pregravid obesity, systematic evaluation of the association of maternal obesity with fetal growth trajectories is lacking. OBJECTIVE To characterize differences in fetal growth trajectories between obese and nonobese pregnant women, and to identify the timing of any observed differences. DESIGN, SETTING, AND PARTICIPANTS The Eunice Kennedy Shriver National Institute of Child Health and Human Development Fetal Growth Studies-Singletons study enrolled cohorts of pregnant women at 12 US health care institutions. Obese women (with prepregnancy body mass index > 30) and nonobese women (prepregnancy body mass indexes, 19-29.9) without major chronic diseases were recruited between 8 weeks and 0 days' gestation and 13 weeks and 6 days' gestation. A mixed longitudinal randomization scheme randomized participants into 1 of 4 schedules for 2-dimensional and 3-dimensional ultrasonograms to capture weekly fetal growth data throughout the remainder of their pregnancies. MAIN OUTCOMES AND MEASURES On each ultrasonogram, fetal humerus length, femur length, biparietal diameter, head circumference, and abdominal circumference were measured. Fetal growth curves were estimated using linear mixed models with cubic splines. Median differences in the fetal measures at each gestational week of the obese and nonobese participants were examined using the likelihood ratio and Wald tests after adjustment for maternal characteristics. RESULTS The study enrolled 468 obese and 2334 nonobese women between 8 weeks and 0 days' gestation and 13 weeks and 6 days' gestation. After a priori exclusion criteria, 443 obese and 2320 nonobese women composed the final cohort. Commencing at 21 weeks' gestation, femur length and humerus length were significantly longer for fetuses of obese woman than those of nonobese women. Differences persisted in obese and nonobese groups through 38 weeks' gestation (median femur length, 71.0 vs 70.2 mm; P = .01; median humerus length, 62.2 vs 61.6 mm; P = .03). Averaged across gestation, head circumference was significantly larger in fetuses of obese women than those of nonobese women (P = .02). Fetal abdominal circumference was not greater in the obese cohort than in the nonobese cohort but was significantly larger than in fetuses of normal-weight women (with body mass indexes between 19.0-24.9) commencing at 32 weeks (median, 282.1 vs 280.2 mm; P = .04). Starting from 30 weeks' gestation, estimated fetal weight was significantly larger for the fetuses of obese women (median, 1512 g [95% CI, 1494-1530 g] vs 1492 g [95% CI, 1484-1499 g]) and the difference grew as gestational age increased. Birth weight was higher by almost 100 g in neonates born to obese women than to nonobese women (mean, 3373.2 vs 3279.5 g). CONCLUSIONS AND RELEVANCE As early as 32 weeks' gestation, fetuses of obese women had higher weights than fetuses of nonobese women. The mechanisms and long-term health implications of these findings are not yet established.
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Affiliation(s)
- Cuilin Zhang
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Mary L. Hediger
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Paul S. Albert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Jagteshwar Grewal
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | | | - William A. Grobman
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Deborah A. Wing
- Division of Maternal-Fetal Medicine, Department of Obstetrics-Gynecology, University of California School of Medicine, Irvine,Fountain Valley Regional Hospital and Medical Center, Fountain Valley, California
| | - Roger B. Newman
- Department of Obstetrics and Gynecology, Medical University of South Carolina, Charleston
| | - Ronald Wapner
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Mary E. D’Alton
- Department of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York
| | - Daniel Skupski
- Department of Obstetrics and Gynecology, New York-Presbyterian Hospital/Queens, Queens
| | - Michael P. Nageotte
- Department of Obstetrics and Gynecology, Miller Children’s Hospital/Long Beach Memorial Medical Center, Long Beach, California
| | - Angela C. Ranzini
- Division of Maternal and Fetal Medicine, Department of Obstetrics and Gynecology, St Peter’s University Hospital, New Brunswick, New Jersey
| | - John Owen
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology University of Alabama School of Medicine, Birmingham
| | - Edward K. Chien
- Division of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Women and Infants Hospital of Rhode Island, Providence
| | - Sabrina Craigo
- Department of Obstetrics and Gynecology, Tufts Medical Center, Boston, Massachusetts
| | - Sungduk Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland
| | - Katherine L. Grantz
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Germaine M. Buck Louis
- Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
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Morais SS, Ide M, Morgan AM, Surita FG. A novel body mass index reference range - an observational study. Clinics (Sao Paulo) 2017; 72:698-707. [PMID: 29236917 PMCID: PMC5706065 DOI: 10.6061/clinics/2017(11)09] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2017] [Accepted: 09/04/2017] [Indexed: 11/04/2022] Open
Abstract
OBJECTIVE To generate a new body mass index curve of reference values and ranges for body mass index and weight gain during pregnancy and to compare the new curve and weight gain ranges with the currently used references. METHODS A prospective observational study was conducted with a total of 5,656 weight and body mass index measurements in 641 women with single pregnancy who attended their first prenatal visit before 12 weeks. All the women were over 18 years old and had no medical conditions that would influence body mass index. Data were collected using prenatal charts and medical records during hospitalization for childbirth. A linear regression method was used for standard curve smoothing in the general population and for specific curves according to the baseline body mass index classification. Curves were obtained for the 5th, 10th, 50th, 85th, 90th and 95th percentiles. Concordance between the classification of women using the newly generated and currently used curves was evaluated by percentages and kappa coefficients. The weight gain was compared with the reference values of the Institute of Medicine using Student's T test. The data were analyzed using SAS software version 9.2, and the significance level was set at 5%. RESULTS A general reference curve of percentiles of body mass index by gestational age was established. Additionally, four specific curves were generated according to the four baseline body mass index categories. The new general curve offered percentile limits for women according to their initial body mass index and according to the Centers for Disease Control and Prevention limits, showing poor agreement with the currently used curve (48.3%). Women who were overweight or obese when starting prenatal care had higher weight gain than the Institute of Medicine recommendation. CONCLUSIONS The new proposed curve for body mass index during pregnancy showed weak agreement with the currently used curve. The new curve provided more information regarding body mass index increase using percentiles for general and specific groups of body mass index. Overweight pregnant women showed an upward body mass index trend throughout pregnancy that increased more dramatically than those of other groups of pregnant women, and they also presented a major mean difference between weight gain and the Institute of Medicine recommendation.
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Affiliation(s)
- Sirlei Siani Morais
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade de Campinas (UNICAMP), Campinas, SP, BR
- *Corresponding author. E-mail:
| | - Mirena Ide
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade de Campinas (UNICAMP), Campinas, SP, BR
| | - Andrea Moreno Morgan
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade de Campinas (UNICAMP), Campinas, SP, BR
| | - Fernanda Garanhani Surita
- Departamento de Ginecologia e Obstetricia, Faculdade de Ciencias Medicas, Universidade de Campinas (UNICAMP), Campinas, SP, BR
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28
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Haidar ZA, Viteri OA, Hosseini Nasab S, Moussa HN, Sibai BM, Whitty JE. Composite neonatal and maternal morbidities with small- versus appropriate- for gestational age among uncomplicated obese women undergoing repeat cesarean delivery . J Matern Fetal Neonatal Med 2017; 32:562-567. [PMID: 28942717 DOI: 10.1080/14767058.2017.1384808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
PURPOSE Our goal was to compare composite neonatal and maternal morbidities (composite neonatal morbidity (CNM), composite maternal morbidity (CMM)) among deliveries with small for age (SGA) versus appropriate for gestational age (AGA; birthweight 10-89%) among obese versus non-obese women undergoing repeat cesarean delivery (CD). STUDY DESIGN This is a secondary analysis of a prospective observational study. Women who had elective CD ≥37 weeks were studied. We excluded multiple gestations, fetal anomalies, > 1 prior CD, and medical diseases. Patients were divided into BMI ≥30 versus <30 kg/m2. CNM included respiratory distress syndrome, necrotizing enterocolitis, severe intraventricular hemorrhage, seizure, or death; CMM included transfusion, hysterectomy, operative injury, coagulopathy, thromboembolism, pulmonary edema, or death. Multivariate logistic regression was used to control for confounding factors. RESULTS Of 7561 women, we included 65% were obese and 35% were not. SGA rates differed significantly: 8 versus 12% (p < .001). Overall, CNM was significantly higher in patients with SGA versus AGA (adjusted odds ratio (aOR) 2.04, 95% CI 1.19-3.49). CMM of SGA in obese versus non-obese was statistically different (aOR 0.11, 95% CI 0.02-0.68). Among obese mothers, SGA neonates had significantly higher CNM compared with AGA ones (aOR 2.17, 95% CI 1.03-4.59). CONCLUSIONS SGA occurred in 8% of low-risk obese women with prior CD. CNM of SGA babies in obese versus non-obese women were similar. Paradoxically, CMM was lower in obese cases, possibly reflecting the caution that obese patients receive preoperatively. Our findings may assist in counseling patients and designing trials.
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Affiliation(s)
- Ziad A Haidar
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
| | - Oscar A Viteri
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
| | - Susan Hosseini Nasab
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
| | - Hind N Moussa
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
| | - Baha M Sibai
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
| | - Janice E Whitty
- a Department of Obstetrics, Gynecology and Reproductive Sciences , McGovern Medical School at the University of Texas Health Science Center , Houston , TX , USA
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Maeder AB, Vonderheid SC, Park CG, Bell AF, McFarlin BL, Vincent C, Carter CS. Titration of Intravenous Oxytocin Infusion for Postdates Induction of Labor Across Body Mass Index Groups. J Obstet Gynecol Neonatal Nurs 2017; 46:494-507. [PMID: 28528810 DOI: 10.1016/j.jogn.2017.02.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2017] [Indexed: 12/13/2022] Open
Abstract
OBJECTIVE To evaluate whether oxytocin titration for postdates labor induction differs among women who are normal weight, overweight, and obese and whether length of labor and birth method differ by oxytocin titration and body mass index (BMI). DESIGN Retrospective cohort study. SETTING U.S. university-affiliated hospital. PARTICIPANTS Of 280 eligible women, 21 were normal weight, 134 were overweight, and 125 were obese at labor admission. METHODS Data on women who received oxytocin for postdates induction between January 1, 2013 and June 30, 2013 were extracted from medical records. Oxytocin administration and labor outcomes were compared across BMI groups, controlling for potential confounders. Data were analyzed using χ2, analysis of variance, analysis of covariance, and multiple linear and logistic regression models. RESULTS Women who were obese received more oxytocin than women who were overweight in the unadjusted analysis of variance (7.50 units compared with 5.92 units, p = .031). Women who were overweight had more minutes between rate changes from initiation to maximum than women who were obese (98.19 minutes compared with 83.39 minutes, p = .038). Length of labor increased with BMI (p = .018), with a mean length of labor for the normal weight group of 13.96 hours (standard deviation = 8.10); for the overweight group, 16.00 hours (standard deviation = 7.54); and for the obese group, 18.30 hours (standard deviation = 8.65). Cesarean rate increased with BMI (p = .001), with 4.8% of normal weight, 33.6% of overweight, and 42.4% of obese women having cesarean births. CONCLUSION Women who were obese and experienced postdates labor induction received more oxytocin than women who were non-obese and had longer length of labor and greater cesarean rates.
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Young MF, Hong Nguyen P, Addo OY, Pham H, Nguyen S, Martorell R, Ramakrishnan U. Timing of Gestational Weight Gain on Fetal Growth and Infant Size at Birth in Vietnam. PLoS One 2017; 12:e0170192. [PMID: 28114316 PMCID: PMC5256875 DOI: 10.1371/journal.pone.0170192] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 01/02/2017] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To examine the importance of timing of gestational weight gain during three time periods: 1: ≤ 20 weeks gestation), 2: 21-29 weeks) and 3: ≥ 30 weeks) on fetal growth and infant birth size. METHODS Study uses secondary data from the PRECONCEPT randomized controlled trial in Thai Nguyen province, Vietnam (n = 1436). Prospective data were collected on women starting pre-pregnancy through delivery. Maternal conditional weight gain (CWG) was defined as window-specific weight gains, uncorrelated with pre-pregnancy body mass index and all prior body weights. Fetal biometry, was assessed by ultrasound measurements of head and abdomen circumferences, biparietal diameter, and femoral length throughout pregnancy. Birth size outcomes included weight and length, and head, abdomen and mid upper arm circumferences as well as small for gestational age (SGA). Adjusted generalized linear and logistic models were used to examine associations. RESULTS Overall, three-quarters of women gained below the Institute of Medicine guidelines, and these women were 2.5 times more likely to give birth to a SGA infant. Maternal CWG in the first window (≤ 20 weeks), followed by 21-29 weeks, had the greatest association on all parameters of fetal growth (except abdomen circumference) and infant size at birth. For birth weight, a 1 SD increase CWG in the first 20 weeks had 3 times the influence compared to later CWG (≥ 30 weeks) (111 g vs. 39 g) and was associated with a 43% reduction in SGA risk (OR (95% CI): 0.57 (0.46-0.70). CONCLUSION There is a need to target women before or early in pregnancy to ensure adequate nutrition to maximize impact on fetal growth and birth size. TRIAL REGISTRATION ClinicalTrials.gov, NCT01665378.
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Affiliation(s)
- Melissa F. Young
- The Hubert Department of Global Health Emory University, Atlanta, GA, United States of America
- * E-mail:
| | - Phuong Hong Nguyen
- Thai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam
- International Food Policy Research Institute, Washington DC, United States of America
| | - O. Yaw Addo
- The Hubert Department of Global Health Emory University, Atlanta, GA, United States of America
| | - Hoa Pham
- Thai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam
| | - Son Nguyen
- Thai Nguyen University of Pharmacy and Medicine, Thai Nguyen, Vietnam
| | - Reynaldo Martorell
- The Hubert Department of Global Health Emory University, Atlanta, GA, United States of America
| | - Usha Ramakrishnan
- The Hubert Department of Global Health Emory University, Atlanta, GA, United States of America
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Papathakis PC, Singh LN, Manary MJ. How maternal malnutrition affects linear growth and development in the offspring. Mol Cell Endocrinol 2016; 435:40-47. [PMID: 26820126 DOI: 10.1016/j.mce.2016.01.024] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2015] [Revised: 01/21/2016] [Accepted: 01/22/2016] [Indexed: 12/17/2022]
Abstract
Maternal malnutrition is common in the developing world and has detrimental effects on both the mother and infant. Pre-pregnancy nutritional status and weight gain during pregnancy are positively related to fetal growth and development. Internationally, there is no agreement on the method of diagnosis or treatment of moderate or severe malnutrition during pregnancy. Establishing clear guidelines for diagnosis and treatment will be essential in elevating the problem. Possible anthropometric measurements used to detect and monitor maternal malnutrition include pre-pregnancy BMI, weight gain, and mid upper arm circumference. Food supplements have the potential to increase gestational weight gain and energy intake which are positively associated with fetal growth and development. Overall more studies are needed to conclude the impact of food/nutrient supplements on infant growth in undernourished pregnant women in developing countries. Currently, a study underway may provide much needed documentation of the benefits of treating malnutrition in pregnancy.
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Affiliation(s)
| | - Lauren N Singh
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Mark J Manary
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
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MATERNAL HEIGHT AND PRE-PREGNANCY WEIGHT STATUS ARE ASSOCIATED WITH FETAL GROWTH PATTERNS AND NEWBORN SIZE. J Biosoc Sci 2016; 49:392-407. [DOI: 10.1017/s0021932016000493] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
SummaryThe impact of maternal height, pre-pregnancy weight status and gestational weight gain on fetal growth patterns and newborn size was analysed using a dataset of 4261 singleton term births taking place at the Viennese Danube Hospital between 2005 and 2013. Fetal growth patterns were reconstructed from three ultrasound examinations carried out at the 11th/12th, 20th/21th and 32th/33th weeks of gestation. Crown–rump length, biparietal diameter, fronto-occipital diameter, head circumference, abdominal transverse diameter, abdominal anterior–posterior diameter, abdominal circumference and femur length were determined. Birth weight, birth length and head circumference were measured immediately after birth. The vast majority of newborns were of normal weight, i.e. between 2500 and 4000 g. Maternal height showed a just-significant but weak positive association (r=0.03: p=0.039) with crown–rump length at the first trimester and with the majority of fetal parameters at the second trimester (r>0.06; p<0.001) and third trimester (r>0.09; p<0.001). Pre-pregnancy weight status was significantly positively associated with nearly all fetal dimensions at the third trimester (r>0.08; p<0.001). Maternal height (r>0.17; p<0.001) and pre-pregnancy weight status (r>0.13; p<0.001), but also gestational weight gain (r>0.13; p<0.001), were significantly positively associated with newborn size. Some of these associations were quite weak and the statistical significance was mainly due to the large sample size. The association patterns between maternal height and pre-pregnancy weight status with fetal growth patterns (p<0.001), as well as newborn size (p<0.001), were independent of maternal age, nicotine consumption and fetal sex. In general, taller and heavier women gave birth to larger infants. This association between maternal size and fetal growth patterns was detectable from the first trimester onwards.
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Association of parental body mass index before pregnancy on infant growth and body composition: Evidence from a pregnancy cohort study in Malaysia. Obes Res Clin Pract 2016; 10 Suppl 1:S35-S47. [DOI: 10.1016/j.orcp.2015.08.002] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Revised: 07/01/2015] [Accepted: 08/07/2015] [Indexed: 11/19/2022]
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Grivell RM, Yelland LN, Deussen A, Crowther CA, Dodd JM. Antenatal dietary and lifestyle advice for women who are overweight or obese and the effect on fetal growth and adiposity: the LIMIT randomised trial. BJOG 2016; 123:233-43. [PMID: 26841216 DOI: 10.1111/1471-0528.13777] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/05/2015] [Indexed: 12/01/2022]
Abstract
OBJECTIVE To report the influence of maternal overweight and obesity on fetal growth and adiposity and effects of an antenatal dietary and lifestyle intervention among these women on measures of fetal growth and adiposity as secondary outcomes of the LIMIT Trial. DESIGN Randomised controlled trial. SETTING Public maternity hospitals in metropolitan Adelaide, South Australia. POPULATION Pregnant women with a body mass index ≥ 25 kg/m(2), and singleton gestation between 10(+0) and 20(+0) weeks. METHODS Women were randomised to Lifestyle Advice or continued Standard Care and offered two research ultrasound scans at 28 and 36 weeks of gestation. MAIN OUTCOME MEASURES Ultrasound measures of fetal growth and adiposity. RESULTS For each fetal body composition parameter, mean Z-scores were substantially higher when compared with population standards. Fetuses of women receiving Lifestyle Advice demonstrated significantly greater mean mid-thigh fat mass, when compared with fetuses of women receiving Standard Care (adjusted difference in means 0.17; 95% CI 0.02-0.32; P = 0.0245). While subscapular fat mass increased between 28 and 36 weeks of gestation in fetuses in both treatment groups, the rate of adipose tissue deposition slowed among fetuses of women receiving Lifestyle Advice, when compared with fetuses of women receiving Standard Care (P = 0.0160). No other significant differences were observed. CONCLUSIONS These findings provide the first evidence of changes to fetal growth following an antenatal dietary and lifestyle intervention among women who are overweight or obese.
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Affiliation(s)
- R M Grivell
- School of Paediatrics and Reproductive Health, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.,Women's and Babies Division, Department of Perinatal Medicine, The Women's and Children's Hospital, North Adelaide, SA, Australia
| | - L N Yelland
- Women's and Children's Health Research Institute, North Adelaide, SA, Australia.,School of Population Health, The University of Adelaide, Adelaide, SA, Australia
| | - A Deussen
- School of Paediatrics and Reproductive Health, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
| | - C A Crowther
- School of Paediatrics and Reproductive Health, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.,Liggins Institute, The University of Auckland, Auckland, New Zealand
| | - J M Dodd
- School of Paediatrics and Reproductive Health, The Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia.,Women's and Babies Division, Department of Perinatal Medicine, The Women's and Children's Hospital, North Adelaide, SA, Australia
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Buschdorf J, Ong M, Ong S, MacIsaac J, Chng K, Kobor M, Meaney M, Holbrook J. Low birth weight associates with hippocampal gene expression. Neuroscience 2016; 318:190-205. [DOI: 10.1016/j.neuroscience.2016.01.013] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2015] [Revised: 01/05/2016] [Accepted: 01/05/2016] [Indexed: 02/06/2023]
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Chiavaroli V, Derraik JGB, Hofman PL, Cutfield WS. Born Large for Gestational Age: Bigger Is Not Always Better. J Pediatr 2016; 170:307-11. [PMID: 26707580 DOI: 10.1016/j.jpeds.2015.11.043] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Revised: 10/27/2015] [Accepted: 11/13/2015] [Indexed: 12/22/2022]
Affiliation(s)
| | - José G B Derraik
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Paul L Hofman
- Liggins Institute, University of Auckland, Auckland, New Zealand
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand.
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Maternal clinic and home blood pressure measurements during pregnancy and infant birth weight: the BOSHI study. Hypertens Res 2015; 39:151-7. [PMID: 26510783 DOI: 10.1038/hr.2015.108] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2015] [Revised: 08/12/2015] [Accepted: 09/02/2015] [Indexed: 01/05/2023]
Abstract
This prospective cohort study compared measurements of maternal home blood pressure (HBP) with clinic blood pressure (CBP) before 20 weeks' gestation to determine associations with the risk of delivering a lower birth weight infant. A total of 605 Japanese women were included. Exposures were initial CBP, made between 10 weeks 0 days and 19 weeks 0 days, and HBP for comparison made within 1 week of CBP. Outcome was infant's birth weight, categorized and ranked as follows: ⩾3500 g, 3000-3499 g, 2500-2999 g and <2500 g. The proportional odds model with possible confounding factors was applied to compare the associations between CBP and HBP on infant birth weight. When both CBP and HBP were included simultaneously, the adjusted odds ratios (ORs) per 1 standard deviation (1s.d.) increase in clinic and home diastolic BP (DBP) were 1.06 (95% confidence interval (CI): 0.87-1.30) and 1.28 (95% CI: 1.04-1.58), respectively. The adjusted ORs per 1s.d. increase in clinic and home mean arterial pressure (MAP) were 1.02 (95% CI: 0.83-1.24) and 1.29 (95% CI: 1.04-1.59), respectively. Systolic BP measurement was not associated with infant birth weight. In conclusion, high maternal home DBP and MAP before 20 weeks' gestation was associated with a higher risk of lower infant birth weight than clinic DBP and MAP. Therefore, in addition to CBP, it may be worth having pregnant women measure HBP to determine the risk of lower infant birth weight.
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Sonographic fetal weight estimation in normal and overweight/obese healthy term pregnant women by gestation-adjusted projection (GAP) method. Arch Gynecol Obstet 2015; 293:775-81. [PMID: 26482584 DOI: 10.1007/s00404-015-3910-z] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Accepted: 10/09/2015] [Indexed: 10/22/2022]
Abstract
PURPOSE The objective of this study is to assess the ultrasound accuracy in fetal weight estimation related to the time distance between the actual weight recorded at delivery and the period of sonography among normal and overweight/obese pregnant women within 3 weeks prior birth at term. METHODS Four-hundred and ninety patients with healthy pregnancy were studied in a cohort study. The absolute percent error in estimation was achieved by gestation-adjusted projection method from Hadlock model for weight calculation as measure of accuracy. The mean percentage error variation over the weeks was correlated to maternal body mass index (BMI, Kg/m(2)) at ultrasound. The relationship between BMI and ultrasound performance was assessed by linear regression. RESULTS The overall proportion of supposed sonographic estimated fetal weight at birth within ±10 % of the birth weight significantly declines over the weeks (P = .016). The trend toward a progressive deterioration in ultrasound accuracy is not statistically significant for normal weight women (P = .272) but it is for over-weight/obese (P = .044). On univariate analysis, the absolute percent error and absolute error are positively related to BMI. CONCLUSIONS Accuracy is related to the week at ultrasound scan with a gradual deterioration over the time and it worsens with increasing distance in days between the date of ultrasounds and delivery. The deterioration is greater for BMI ≥ 25.
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Lin X, Aris IM, Tint MT, Soh SE, Godfrey KM, Yeo GSH, Kwek K, Chan JKY, Gluckman PD, Chong YS, Yap F, Holbrook JD, Lee YS. Ethnic Differences in Effects of Maternal Pre-Pregnancy and Pregnancy Adiposity on Offspring Size and Adiposity. J Clin Endocrinol Metab 2015; 100. [PMID: 26200236 PMCID: PMC4628100 DOI: 10.1210/jc.2015-1728] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
CONTEXT Maternal adiposity and overnutrition, both before and during pregnancy, plays a key role in the subsequent development of obesity and metabolic outcomes in offspring. OBJECTIVE We explored the hypothesis that maternal adiposity (pre-pregnancy and at 26-28 weeks' gestation) and mid-pregnancy gestational weight gain (GWG) are independently associated with offspring size and adiposity in early childhood, and determined whether these effects are ethnicity dependent. DESIGN In a prospective mother-offspring cohort study (N = 976, 56% Chinese, 26% Malay, and 18% Indian), we assessed the associations of offspring size (weight, length) and adiposity (subscapular and triceps skinfolds), measured at birth and age 6, 12, 18, and 24 mo, with maternal pre-pregnancy body mass index (ppBMI), mid-pregnancy GWG, and mid-pregnancy four-site skinfold thicknesses (triceps, biceps, subscapular, suprailiac). RESULTS ppBMI and mid-pregnancy GWG were independently associated with postnatal weight up to 2 y and skinfold thickness at birth. Weight and subscapular and triceps skinfolds at birth increased by 2.56% (95% confidence interval, 1.68-3.45%), 3.85% (2.16-5.57%), and 2.14% (0.54-3.75%), respectively for every SD increase in ppBMI. Similarly, a one-SD increase in GWG increased weight and subscapular and triceps skinfolds at birth by 2.44% (1.66-3.23%), 3.28% (1.75-4.84%), and 3.23% (1.65-4.84%), respectively. ppBMI and mid-pregnancy suprailiac skinfold independently predicted postnatal skinfold adiposity up to 2 years of age, whereas only GWG predicted postnatal length. The associations of GWG with postnatal weight and length were present only among Chinese and Indians, but not Malays (P < .05 for interaction). CONCLUSIONS ppBMI and GWG are independent modifiable factors for child size and adiposity up to 2 years of age. The associations are ethnic-dependent, and underscore the importance of ethnic specific studies before generalizing the applicability of risk factors reported in other populations.
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Affiliation(s)
- Xinyi Lin
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Izzuddin M Aris
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Mya Thway Tint
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Shu E Soh
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Keith M Godfrey
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - George Seow-Heong Yeo
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Kenneth Kwek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Jerry Kok-Yen Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Peter D Gluckman
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Fabian Yap
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Joanna D Holbrook
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (X.L., P.D.G., Y.S.C., J.D.H., Y.S.L.), 117609 Singapore; Department of Paediatrics (I.M.A., S.E.S., Y.S.L.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Department of Obstetrics and Gynaecology (M.T.T., Y.S.C.), Yong Loo Lin School of Medicine, National University of Singapore, 119228 Singapore; Saw Swee Hock School of Public Health (S.E.S.), National University of Singapore, 117597 Singapore; MRC Lifecourse Epidemiology Unit and NIHR Southampton Biomedical Research Centre (K.M.G.), University of Southampton and University Hospital Southampton NHS Foundation Trust, Southampton, SO16 6YD United Kingdom; Department of Maternal Fetal Medicine (G.S.-H.Y., K.K.), KK Women's and Children's Hospital, 229899 Singapore; Department of Reproductive Medicine (J.K.-Y.C.), KK Women's and Children's Hospital, 229899 Singapore; Centre for Human Evolution, Adaptation and Disease (P.D.G.), Liggins Institute, University of Auckland, Auckland, New Zealand; Department of Paediatrics (F.Y.), KK Women's and Children's Hospital, 229899 Singapore; Department of Biochemistry (J.D.H.), National University of Singapore, 117596 Singapore; and Division of Paediatric Endocrinology and Diabetes (Y.S.L.), Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, 119228 Singapore
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Maternal obesity during pregnancy and cardiovascular development and disease in the offspring. Eur J Epidemiol 2015; 30:1141-52. [PMID: 26377700 PMCID: PMC4684830 DOI: 10.1007/s10654-015-0085-7] [Citation(s) in RCA: 183] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2015] [Accepted: 09/08/2015] [Indexed: 01/15/2023]
Abstract
Maternal obesity during pregnancy is an important public health problem in Western countries. Currently, obesity prevalence rates in pregnant women are estimated to be as high as 30 %. In addition, approximately 40 % of women gain an excessive amount of weight during pregnancy in Western countries. An accumulating body of evidence suggests a long-term impact of maternal obesity and excessive weight gain during pregnancy on adiposity, cardiovascular and metabolic related health outcomes in the offspring in fetal life, childhood and adulthood. In this review, we discuss results from recent studies, potential underlying mechanisms and challenges for future epidemiological studies.
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Bahadoer S, Gaillard R, Felix JF, Raat H, Renders CM, Hofman A, Steegers EAP, Jaddoe VWV. Ethnic disparities in maternal obesity and weight gain during pregnancy. The Generation R Study. Eur J Obstet Gynecol Reprod Biol 2015; 193:51-60. [PMID: 26232727 PMCID: PMC5408938 DOI: 10.1016/j.ejogrb.2015.06.031] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2015] [Revised: 06/12/2015] [Accepted: 06/30/2015] [Indexed: 01/09/2023]
Abstract
Objective To examine ethnic disparities in maternal prepregnancy obesity and gestational weight gain, and to examine to which extent these differences can be explained by socio-demographic, lifestyle and pregnancy related characteristics. Methods In a multi-ethnic population-based prospective cohort study among 6,444 pregnant women in Rotterdam, the Netherlands, maternal anthropometrics were repeatedly measured throughout pregnancy. Ethnicity, socio-demographic, lifestyle and pregnancy related characteristics were assessed by physical examinations and questionnaires. Results The prevalence of prepregnancy overweight and obesity was 23.1% among Dutch-origin women. Statistically higher prevalences were observed among Dutch Antillean-origin (40.8%), Moroccan-origin (49.9%), Surinamese-Creole-origin (38.6%) and Turkish-origin (41.1%) women (all p-values <0.05). Only Dutch Antillean-origin, Moroccan-origin, Surinamese-Creole-origin and Turkish-origin women had higher risks of maternal prepregnancy overweight and obesity as compared to Dutch-origin women (p-values <0.05). Socio-demographic and lifestyle related characteristics explained up to 45% of the ethnic differences in body mass index. Compared to Dutch-origin women, total gestational weight gain was lower in all ethnic minority groups, except for Cape Verdean-origin and Surinamese-Creole-origin women (p-values <0.05). Lifestyle and pregnancy related characteristics explained up to 33% and 40% of these associations, respectively. The largest ethnic differences in gestational weight gain were observed in late pregnancy. Conclusion We observed moderate ethnic differences in maternal prepregnancy overweight, obesity and gestational weight gain. Socio-demographic, lifestyle and pregnancy related characteristics partly explained these differences. Whether these differences also lead to ethnic differences in maternal and childhood outcomes should be further studied.
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Affiliation(s)
- Sunayna Bahadoer
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Romy Gaillard
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Hein Raat
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Public Health, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Carry M Renders
- Department of Health Sciences, Section Prevention and Public Health, VU University Amsterdam, The Netherlands
| | - Albert Hofman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Eric A P Steegers
- Department of Obstetrics and Gynaecology, Erasmus MC, University Medical Center Rotterdam, The Netherlands
| | - Vincent W V Jaddoe
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, The Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, The Netherlands.
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Trojner Bregar A, Blickstein I, Steblovnik L, Verdenik I, Lucovnik M, Tul N. Do tall women beget larger babies? J Matern Fetal Neonatal Med 2015; 29:1311-3. [DOI: 10.3109/14767058.2015.1046830] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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Gaillard R, Jaddoe VWV. Assessment of fetal growth by customized growth charts. ANNALS OF NUTRITION AND METABOLISM 2014; 65:149-55. [PMID: 25413653 DOI: 10.1159/000361055] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
Customized fetal growth charts take account of the individual variation in the fetal growth potential based on non-pathological maternal and fetal characteristics. Application of these customized weight charts might improve the distinction between pathological growth-restricted fetuses and fetuses that are small but have reached their growth potential. Current models for customized growth standards have been based on birth weight and fetal growth data. Variables used for customization are gestational age, maternal age, parity, ethnicity, height, weight and fetal sex. Thus far, it remains controversial whether these maternal and fetal characteristics used for customization are strong enough predictors for fetal growth on an individual level and are truly physiological characteristics. The currently available customized growth charts might be of benefit for use in epidemiological studies and clinical practice. Further studies are needed to validate these customized growth models and to examine whether and to what extend they improve identification of children that are at risk for morbidity in the perinatal period and later in life.
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Affiliation(s)
- Romy Gaillard
- The Generation R Study Group and Departments of Epidemiology and Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands
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Gaillard R, Felix JF, Duijts L, Jaddoe VWV. Childhood consequences of maternal obesity and excessive weight gain during pregnancy. Acta Obstet Gynecol Scand 2014; 93:1085-9. [PMID: 25231923 DOI: 10.1111/aogs.12506] [Citation(s) in RCA: 55] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 09/11/2014] [Indexed: 01/31/2023]
Abstract
Obesity is a major public health concern. In western countries, the prevalence of obesity in pregnant women has strongly increased, with reported prevalence rates reaching 30%. Also, up to 40% of women gain an excessive amount of weight during pregnancy. Recent observational studies and meta-analyses strongly suggest long-term impact of maternal obesity and excessive weight gain during pregnancy on adiposity, cardiovascular and respiratory related health outcomes in their children. These observations suggest that maternal adiposity during pregnancy may program common health problems in the offspring. Currently, it remains unclear whether the observed associations are causal, or just reflect confounding by family-based sociodemographic or lifestyle-related factors. Parent-offspring studies, sibling comparison studies, Mendelian randomization studies and randomized trials can help to explore the causality and underlying mechanisms. Also, the potential for prevention of common diseases in future generations by reducing maternal obesity and excessive weight gain during pregnancy needs to be explored.
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Affiliation(s)
- Romy Gaillard
- The Generation R Study Group, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus Medical Center, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus Medical Center, Rotterdam, the Netherlands
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Gaillard R, Steegers EAP, Franco OH, Hofman A, Jaddoe VWV. Maternal weight gain in different periods of pregnancy and childhood cardio-metabolic outcomes. The Generation R Study. Int J Obes (Lond) 2014; 39:677-85. [PMID: 25287752 DOI: 10.1038/ijo.2014.175] [Citation(s) in RCA: 115] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2014] [Revised: 09/21/2014] [Accepted: 09/26/2014] [Indexed: 11/09/2022]
Abstract
BACKGROUND Excessive gestational weight gain seems to be associated with offspring cardio-metabolic risk factors. Little is known about the critical periods of gestational weight gain. We examined the associations of maternal weight gain in different periods of pregnancy with childhood cardio-metabolic risk factors. METHODS In a population-based prospective cohort study from early pregnancy onwards among 5908 mothers and their children, we obtained maternal prepregnancy weight and weight in early, mid and late pregnancy. At the age of 6 years (median: 72.6 months; 95% range: 67.9, 95.8), we measured childhood body mass index (BMI), total body and abdominal fat distribution, blood pressure and blood levels of lipids, insulin and c-peptide. RESULTS Overall, the associations of maternal prepregnancy weight with childhood outcomes were stronger than the associations of maternal gestational weight gain. Independent from maternal prepregnancy weight and weight gain in other periods, higher weight gain in early pregnancy was associated with higher childhood BMI, total fat mass, android/gynoid fat mass ratio, abdominal subcutaneous fat mass and systolic blood pressure (P-values<0.05). Independent associations of maternal weight gain in early pregnancy with childhood abdominal preperitoneal fat mass, insulin and c-peptide were of borderline significance. Higher weight gain in mid pregnancy was independently associated with higher childhood BMI, total and abdominal subcutaneous fat mass and systolic blood pressure (P-values<0.05). The associations for childhood cardio-metabolic outcomes attenuated after adjustment for childhood BMI. Weight gain in late pregnancy was not associated with childhood outcomes. Higher weight gain in early, but not in mid or late pregnancy, was associated with increased risks of childhood overweight and clustering of cardio-metabolic risk factors (odds ratio (OR) 1.19 (95% confidence interval (CI): 1.10, 1.29) and OR 1.20 (95% CI: 1.07, 1.35) per standard deviation increase in early gestational weight gain, respectively). CONCLUSIONS Higher weight gain in early pregnancy is associated with an adverse cardio-metabolic profile in offspring. This association is largely mediated by childhood adiposity.
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Affiliation(s)
- R Gaillard
- 1] The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - E A P Steegers
- Department of Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - O H Franco
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - A Hofman
- Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - V W V Jaddoe
- 1] The Generation R Study Group, Erasmus Medical Center, Rotterdam, The Netherlands [2] Department of Pediatrics, Erasmus Medical Center, Rotterdam, The Netherlands [3] Department of Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands
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Donnelley EL, Raynes-Greenow CH, Turner RM, Carberry AE, Jeffery HE. Antenatal predictors and body composition of large-for-gestational-age newborns: perinatal health outcomes. J Perinatol 2014; 34:698-704. [PMID: 24831524 DOI: 10.1038/jp.2014.90] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2013] [Revised: 03/27/2014] [Accepted: 03/27/2014] [Indexed: 11/09/2022]
Abstract
OBJECTIVE To compare body composition of large-for-gestational-age (LGA) with appropriate-for-gestational-age (AGA) newborns and to identify antenatal predictors of LGA. STUDY DESIGN This cross-sectional study included 536 term, singleton infants. Anthropometric measurements were performed within 48 h of birth and included determination of body fat percentage (%BF) by air displacement plethysmography. Associations were investigated using logistic regression. RESULT LGA infants had greater %BF (P<0.001) compared with AGA infants. Significant predictors of LGA infants included parity (odds ratio (OR)=1.98, (95% confidence interval (CI) 1.00, 4.02)), paternal height (OR=1.08, (95% CI 1.03, 1.14)), maternal pregravid weight (65 to 74.9 kg: OR=2.77, (95% CI 1.14, 7.06)) and gestational weight gain (OR=1.09, 95% CI (1.03, 1.16)). Gestational diabetes mellitus was not associated with LGA infants (P=0.598). CONCLUSION Paternal height, parity, maternal pregravid weight and gestational weight gain were strongly associated with LGA infants. These results may allow early prediction and potential modification, thereby optimising clinical outcomes.
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Affiliation(s)
- E L Donnelley
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - C H Raynes-Greenow
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - R M Turner
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - A E Carberry
- Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia
| | - H E Jeffery
- 1] Sydney Medical School, University of Sydney, Sydney, NSW, Australia [2] Sydney School of Public Health, University of Sydney, Sydney, NSW, Australia [3] RPA Newborn Care, Royal Prince Alfred Hospital, Sydney, NSW, Australia
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Reynolds SA, Roberts JM, Bodnar LM, Haggerty CL, Youk AO, Catov JM. Fetal sex and race modify the predictors of fetal growth. Matern Child Health J 2014; 19:798-810. [PMID: 25030701 DOI: 10.1007/s10995-014-1571-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
The objective of this study is unknown if fetal sex and race modify the impact of maternal pre-pregnancy body mass index (BMI), and smoking on fetal growth. The authors studied markers of fetal growth in singleton offspring of 8,801 primiparous, normotensive women, enrolled in the Collaborative Perinatal Project. The authors tested for departures from additivity between sex/race and each predictor. The head-to-chest circumference ratio (HCC) decreased more, while birthweight and ponderal index (PI) increased more for each 1 kg/m(2) increase in pre-pregnancy BMI among term females versus males (P = 0.07, P < 0.01 and P = 0.08, interaction respectively). For term offspring of White compared with Black women, smoking independent of "dose" was associated with larger reductions in growth (165 g vs. 68 g reduction in birthweight, P < 0.01, interaction), greater reduction in fetal placental ratio (P < 0.01, interaction), PI (P < 0.01, interaction), and greater increase in HCC (P = 0.02), respectively. The association of BMI and smoking with fetal size appeared to be reversed in term versus preterm infants. Our study provides evidence that the associations of pre-pregnancy BMI and smoking are not constant across sex and race. This finding may be relevant to sex and race differences in neonatal and long term health outcomes.
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Affiliation(s)
- Simone A Reynolds
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, 130 DeSoto Street, Pittsburgh, PA, 15261, USA,
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Haddow JE, Craig WY, Neveux LM, Haddow HRM, Palomaki GE, Lambert-Messerlian G, Malone FD, D'Alton ME. Implications of High Free Thyroxine (FT4) concentrations in euthyroid pregnancies: the FaSTER trial. J Clin Endocrinol Metab 2014; 99:2038-44. [PMID: 24606107 PMCID: PMC4037729 DOI: 10.1210/jc.2014-1053] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
CONTEXT Lower birth weight has been reported in conjunction with high maternal free T4 (FT4) in euthyroid pregnancies, raising concerns for suboptimal outcomes. OBJECTIVE The objective of the study was to explore the relationships between high maternal FT4 and pregnancy complications in euthyroid women and to further examine the relationships among maternal size, FT4, and birth weight. DESIGN This was an observational multicenter cohort study. SETTING The study was conducted at prenatal clinics. STUDY SUBJECTS A total of 9209 euthyroid women with singleton pregnancies participated in the study. INTERVENTIONS There were no interventions. MAIN OUTCOME MEASURES Relationships between second-trimester high maternal FT4 and pregnancy/delivery complications and, among FT4, maternal weight and birth weight were measured. RESULTS Women in the highest FT4 quintile are younger and weigh less than women in quintiles 1-4; gestational diabetes and preeclampsia occur less often (P = < .001, P < .001, P < .001, and P = .05, respectively). Lowest median birth weight occurs among women in the highest FT4 quintile (P = < .001), but deliveries less than 37 weeks' gestation are not increased. Labor/delivery complications do not differ by FT4 quintile. Restricting analyses to maternal weight-adjusted small-for-gestational-age deliveries yields similar results, except for preeclampsia. In the highest maternal weight decile, adjusted median birth weight is 266 g higher (8.3%) than in the lowest weight decile; adjusted median FT4 is 0.91 pmol/L lower (6.8%). Among women in the highest FT4 decile, adjusted median birth weight is 46 g lower (1.3%) than in the lowest FT4 decile. All three relationships are statistically significant (P < .001, P < .001, and P = .004, respectively). CONCLUSIONS Lower median birth weight among euthyroid women with high FT4 is not associated with adverse pregnancy outcomes. Further investigation is indicated to determine how the variations in thyroid hormone concentration influence birth weight.
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Affiliation(s)
- James E Haddow
- Women and Infants Hospital and Alpert Medical School of Brown University (J.E.H., L.M.N., G.E.P., G.L.-M.), Providence, Rhode Island 02903; Savjani Institute for Health Research (J.E.H., L.M.N., H.R.M.H., G.E.P.), Windham, Maine 04062; Foundation for Blood Research (W.Y.C.), Scarborough, Maine 04070; Columbia University College of Physicians and Surgeons (F.D.M., M.E.D.), New York, New York 10032; and Royal College of Surgeons in Ireland (F.D.M.), Dublin 2, Ireland
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Robič T, Benedik E, Fidler Mis N, Bratanič B, Rogelj I, Golja P. Challenges in determining body fat in pregnant women. ANNALS OF NUTRITION AND METABOLISM 2014; 63:341-9. [PMID: 24603563 DOI: 10.1159/000358339] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2013] [Accepted: 12/19/2013] [Indexed: 11/19/2022]
Abstract
BACKGROUND/AIMS Determining body composition in pregnant women is challenging as not all of the existing applicable methodologies can be used during pregnancy and not all of the methods have been properly standardized. The aim of this study was to compare the existing anthropometric methods for the evaluation of body composition, especially in pregnant women. METHODS One hundred forty-seven pregnant volunteers aged [average (SD)] 31 years (± 4) in gestational week 32 (± 3) provided information on their age and prepregnancy body mass. Their height, current mass, skinfold thicknesses, and limb circumferences were measured. The body density and fat percentage were calculated according to 17 different anthropometric equations obtained from the literature. Data were analyzed with ANOVA. RESULTS For the same sample of pregnant women, the body fat percentages obtained using the existing anthropometric methods varied greatly (p < 0.0001) and ranged from 16% (± 5) to 38% (± 4); methods developed specifically for pregnant women yielded disturbingly large differences, with body fat values ranging from 16% (± 5) to 36% (± 6). CONCLUSIONS This study revealed large discrepancies among anthropometric methods for body composition assessment in pregnant women. As the results from the same sample obtained with different existing equations are wide ranging, the existing methodologies should be examined and improved before they can serve as sources of information regarding the health status of pregnant women.
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Affiliation(s)
- Tatjana Robič
- Department of Biology, Biotechnical Faculty, University of Ljubljana, Ljubljana, Slovenia
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Gaillard R, Steegers EA, de Jongste JC, Hofman A, Jaddoe VW. Tracking of fetal growth characteristics during different trimesters and the risks of adverse birth outcomes. Int J Epidemiol 2014; 43:1140-53. [PMID: 24603318 DOI: 10.1093/ije/dyu036] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Fetal growth characteristics are used to identify influences of several maternal characteristics and to identify individuals at increased risk of adverse outcomes. The extent to which fetal growth characteristics track in different trimesters is not known. METHODS In a population-based prospective cohort study among 8636 pregnant women, we examined the extent to which fetal growth characteristics track, are influenced by maternal socio-demographic and lifestyle related determinants and are associated with birth outcomes. Fetal growth was assessed in each trimester and at birth. RESULTS Correlation coefficient between first-trimester crown-rump length and birthweight was r = 0.12 (P-value < 0.05). Correlation coefficients for fetal-head circumference, (femur) length and (estimated) fetal weight ranged from r = 0.16 to r = 0.30 (all P-values < 0.05) between second trimester and birth and from r = 0.36 to r = 0.58 (all P-values < 0.05) between third trimester and birth, and were highest for (estimated) fetal weight. Correlation coefficients for (estimated) fetal weight tended to be lower among overweight mothers, as compared with normal weight mothers, but were not influenced by other maternal characteristics. First, second and third-trimester fetal growth characteristics were associated with risks of preterm birth and small size for gestational age at birth,with the strongest associations present in third trimester. CONCLUSION Fetal growth characteristics track moderately throughout gestation, with stronger tracking coefficients present in later pregnancy. Tracking coefficients were not materially influenced by maternal socio-demographic and lifestyle characteristics. First, second and third trimester fetal growth characteristics were associated with the risk of adverse birth outcomes.
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Affiliation(s)
- Romy Gaillard
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Eric Ap Steegers
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Johan C de Jongste
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Albert Hofman
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Vincent Wv Jaddoe
- Generation R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The NetherlandsGeneration R Study Group, and Departments of Epidemiology, Paediatrics and Obstetrics and Gynaecology, Erasmus Medical Center, Rotterdam, The Netherlands
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