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Atkinson J, Dongarwar D, Mercado-Evans V, Hernandez AA, Deslandes AV, Gonzalez MA, Sherman DA, Salihu HM. Pregnancy-Associated Diabetes Mellitus and Stillbirths by Race and Ethnicity among Hospitalized Pregnant Women in the United States. South Med J 2022; 115:405-413. [PMID: 35777745 DOI: 10.14423/smj.0000000000001418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVES Racial disparities in preexisting diabetes mellitus (PDM) and gestational diabetes mellitus (GDM) remain largely unexplored. We examined national PDM and GDM prevalence trends by race/ethnicity and the association between these conditions and fetal death. METHODS This was a retrospective cross-sectional analysis of 69,539,875 pregnancy-related hospitalizations from 2002 to 2017 including 674,040 women with PDM (1.0%) and 2,960,797 (4.3%) with GDM from the US Nationwide Inpatient Sample Survey. Joinpoint regression was used to evaluate trends in prevalence. Survey logistic regression was used to evaluate the association between exposures (PDM and GDM) and outcome. RESULTS Overall, the average annual increase in prevalence was 5.2% (95% confidence interval [CI] 4.2-6.2) for GDM and 1.0% (95% CI -0.1 to 2.0) for PDM, during the study period. Hispanic (average annual percentage change 5.3, 95% CI 3.6 - 7.1) and non-Hispanic Black (average annual percentage change 0.9, 95% CI 0.1 - 1.7) women had the highest average annual percentage increase in the prevalence of GDM and PDM, respectively. After adjustment, the odds of stillbirth were highest for Hispanic women with PDM (odds ratio 2.41, 95% CI 2.23-2.60) and decreased for women with GDM (odds ratio 0.51, 95% CI 0.50-0.53), irrespective of race/ethnicity. CONCLUSIONS PDM and GDM prevalence is increasing in the United States, with the highest average annual percentage changes seen among minority women. Furthermore, the reasons for the variation in the occurrence of stillbirths among mothers with PDM and GDM by race/ethnicity are not clear and warrant additional research.
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Affiliation(s)
- Jonnae Atkinson
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Deepa Dongarwar
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Vicki Mercado-Evans
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Ayleen A Hernandez
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Aisha V Deslandes
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Monica A Gonzalez
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Danielle A Sherman
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
| | - Hamisu M Salihu
- From the Center of Excellence in Health Equity, Training, and Research, Baylor College of Medicine, Houston, Texas
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Zhang Q, Lee CS, Zhang L, Wu Q, Chen Y, Chen D, Qi L, Liang Z. The Influence of HbA1c and Gestational Weight Gain on Pregnancy Outcomes in Pregnant Women With Gestational Diabetes Mellitus. Front Med (Lausanne) 2022; 9:842428. [PMID: 35721060 PMCID: PMC9204265 DOI: 10.3389/fmed.2022.842428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Accepted: 04/27/2022] [Indexed: 11/13/2022] Open
Abstract
Background To investigate the influence of HbA1c level and GWG on pregnancy outcomes in pregnant women with GDM. Methods A total of 2,171 pregnant women with GDM were retrospectively included and categorized as follows: (1) normal (HbA1c <6%) and elevated (HbA1c ≥6%) HbA1c groups according to the HbA1c level in the second trimester, and (2) inadequate, appropriate, and excessive GWG groups according to the IOM guidelines. Results In pregnant women with GDM, advanced age and high pre-pregnancy BMI were high-risk factors for elevated HbA1c. Pregnant women with elevated HbA1c had higher OGTT levels than those with normal HbA1c, and the risks of adverse pregnancy outcomes were higher (P < 0.05). The risks of primary cesarean section, hypertensive disorders during pregnancy, and macrosomia in pregnant women with excessive GWG were significantly higher than those with inadequate and appropriate GWG (P < 0.05). When GWG was appropriate, the risk of hypertensive disorders during pregnancy in the elevated HbA1c group was higher than that in the normal HbA1c group. When GWG was excessive, the risks of postpartum hemorrhage, macrosomia, and neonatal asphyxia in the elevated HbA1c group were significantly higher than in the normal HbA1c group (P < 0.05). Conclusion Monitoring and controlling blood glucose levels have shown effectiveness in reducing the adverse pregnancy outcomes in women with GDM, particularly for those who had excessive GWG.
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Affiliation(s)
- Qiuhong Zhang
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Nanxun District People's Hospital, Huzhou, China
| | - Chee Shin Lee
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lixia Zhang
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Qi Wu
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yunyan Chen
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Huzhou Women and Children's Hospital, Huzhou, China
| | - Danqing Chen
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
| | - Zhaoxia Liang
- Obstetrical Department, Women's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.,Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, United States
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Gestational Weight Gain Below Instead of Within The Guidelines per Class of Maternal Obesity: A Systematic Review and Meta-Analysis of Obstetrical and Neonatal Outcomes. Am J Obstet Gynecol MFM 2022; 4:100682. [PMID: 35728780 DOI: 10.1016/j.ajogmf.2022.100682] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2022] [Revised: 06/12/2022] [Accepted: 06/15/2022] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To systematically investigate a wide range of obstetrical and neonatal outcomes with respect to gestational weight gain (GWG) below the current IOM and ACOG guidelines compared to within the guidelines and to stratify outcomes by the class of obesity and by the type of study analysis. DATA SOURCES We systematically searched studies on PubMed, Scopus, Embase, and Cochrane Library from 2009 to April 30, 2021. STUDY ELIGIBILITY CRITERIA Studies reporting on obstetrical and neonatal outcomes of singleton pregnancies with respect to GWG below the current IOM and ACOG guidelines compared to within the guidelines, investigated in obesity overall (BMI> 30 kg/m2), and/or class of obesity (I: BMI 30-34.9 kg/m2, II: BMI 35-39.9 kg/ m2 and III: BMI> 40 kg/m2). METHODS Among the studies that met criteria, multiple obstetrical and neonatal outcomes were tabulated and compared between pregnancies with weight gain below the guidelines and those with weight gain within the guidelines, further classified by the class of obesity if applicable. Primary outcomes included small for gestational age (SGA), large for gestational age (LGA), preeclampsia (PE), and gestational diabetes mellitus (GDM). Secondary outcomes included cesarean section (CS), preterm birth (PTB), postpartum weight retention, and composite neonatal morbidity. Meta-analysis of univariate and adjusted multivariate analysis studies were conducted. The random-effect model was used to pool the mean differences or odds ratios (OR) and the corresponding 95% confidence intervals (CIs). Heterogeneity was assessed using the I2 value. Newcastle Ottawa Scale (NOS) was used to assess individual study quality. RESULTS Total of 54 studies reporting on 30,245,946 pregnancies were included, of which 11,515,411 pregnancies were in the univariate analysis and 18,730,535 pregnancies in the adjusted multivariate analysis. In the meta-analysis of univariate studies, compared to women who gained within the guidelines, those who gained below the guidelines had higher odds for SGA in obesity class I and II (OR:1.30 (95% CI 1.17, 1.45), I2 0%, P<0.00001, and OR: 1.56 (95% CI 1.31, 1.85), I2 0%, P<0.00001), respectively), however, the incidence of SGA was below the expected limits (<10%) and was not associated with increased neonatal morbidity. Furthermore, after adjusting for covariates, that difference was no statistically significant anymore. The difference was not statistically significant for class III obesity. Following adjusted multivariate analysis, no significant differences in SGA rates were noted for all classes of obesity between groups. Significantly lower odds for LGA were seen in GWG below guidelines in obesity class I, II, and III (OR: 0.69 (95% CI 0.64, 0.73), I2 0%, P<0.00001, OR: 0.68 (95% CI 0.63, 0.74), I2 0%, P<0.00001, and OR: 0.65 (95% CI 0.57, 0.75), I2 34%, P<0.00001, respectively), and similar findings were seen in the adjusted multivariate analysis. Women with weight gain below guidelines had significantly lower odds for PE in obesity class I, II, and III (OR: 0.71 (95% CI 0.63, 0.79),), I2 0%, P<0.00001, OR: 0.82 (95% CI 0.73, 0.91), I2 0%, P<0.00001, and OR: 0.82 (95% CI 0.70, 0.94), I2 0%, P=0.006, respectively), and similar findings were seen in the adjusted multivariate analysis. No significant differences were seen in GDM between groups. Regarding PTB, available univariate analysis studies only reported on overall obesity and mixed iatrogenic and spontaneous PTB showing significant increase in the odds of PTB (OR: 1.42 (95% CI 1.40, 1.43), I2 0%, P<0.00001) in women with low weight gain, while adjusted multivariate studies in overall obesity and in all three classes and showed no significant differences of PTB between groups. Women with low weight gain had significantly lower odds for CS in obesity class I, II, and III (OR: 0.76 (95% CI 0.72, 0.81), I2 0%, P<0.00001, OR: 0.82 (95% CI 0.77, 0.87), I2 0%, P<0.00001, and OR: 0.87 (95% CI 0.82, 0.91), I2 0%, P<0.00001, respectively), and similar findings were seen in the adjusted multivariate analysis. There was significantly lower odds for postpartum weight retention (OR: 0.20 (95% CI 0.05, 0.82)), I2 0%, P=0.03) and lower odds for composite neonatal morbidity in the overall obesity group with low GWG (OR: 0.93 (95% CI 0.87, 0.99)), I2 19.6%, P=0.04). CONCLUSION Contrary to previous reports, the current systematic review and meta-analysis showed no significant increase in SGA rates in pregnancies with weight gain below the current guidelines for all classes of maternal obesity. Furthermore, gaining below the guidelines was associated with lower LGA, PE, and CS rates. Our study provides the evidence that the current recommended GWG is high for all classes of obesity. These results provide pertinent information supporting the notion to revisit the current GWG recommendations for women with obesity and furthermore to classify them by the class of obesity rather than one overall obesity category as is done in the current recommendations.
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Lund A, Ebbing C, Rasmussen S, Qvigstad E, Kiserud T, Kessler J. Pre-gestational diabetes: Maternal body mass index and gestational weight gain are associated with augmented umbilical venous flow, fetal liver perfusion, and thus birthweight. PLoS One 2021; 16:e0256171. [PMID: 34398922 PMCID: PMC8367003 DOI: 10.1371/journal.pone.0256171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 07/30/2021] [Indexed: 11/19/2022] Open
Abstract
OBJECTIVES To assess how maternal body mass index and gestational weight gain are related to on fetal venous liver flow and birthweight in pregnancies with pre-gestational diabetes mellitus. METHODS In a longitudinal observational study, 49 women with pre-gestational diabetes mellitus were included for monthly assessments (gestational weeks 24-36). According to the Institute Of Medicine criteria, body mass index was categorized to underweight, normal, overweight, and obese, while gestational weight gain was classified as insufficient, appropriate or excessive. Fetal size, portal flow, umbilical venous flow and distribution to the fetal liver or ductus venosus were determined using ultrasound techniques. The impact of fetal venous liver perfusion on birthweight and how body mass index and gestational weight gain modified this effect, was compared with a reference population (n = 160). RESULTS The positive association between umbilical flow to liver and birthweight was more pronounced in pregnancies with pre-gestational diabetes mellitus than in the reference population. Overweight and excessive gestational weight gain were associated with higher birthweights in women with pre-gestational diabetes mellitus, but not in the reference population. Fetuses of overweight women with pre-gestational diabetes mellitus had higher umbilical (p = 0.02) and total venous liver flows (p = 0.02), and a lower portal flow fraction (p = 0.04) than in the reference population. In pre-gestational diabetes mellitus pregnancies with excessive gestational weight gain, the umbilical flow to liver was higher than in those with appropriate weight gain (p = 0.02). CONCLUSIONS The results support the hypothesis that umbilical flow to the fetal liver is a key determinant for fetal growth and birthweight modifiable by maternal factors. Maternal pre-gestational diabetes mellitus seems to augment this influence as shown with body mass index and gestational weight gain.
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Affiliation(s)
- Agnethe Lund
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Cathrine Ebbing
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
- * E-mail:
| | - Svein Rasmussen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Elisabeth Qvigstad
- Department of Endocrinology, Morbid Obesity and Preventive Medicine, Oslo University Hospital, Oslo, Norway
- Faculty of Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Torvid Kiserud
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
| | - Jörg Kessler
- Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Science, Research Group for Pregnancy, Fetal Development and Birth, University of Bergen, Bergen, Norway
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Bai Y, Li L, Wang B, Qiu J, Ren Y, He X, Li Y, Jia Y, He C, Cui H, Lv L, Lin X, Zhang C, Zhang H, Xu R, Liu Q, Luan H. Determining optimal gestational weight gain (GWG) in a northwest Chinese population: A CONSORT. Medicine (Baltimore) 2021; 100:e26080. [PMID: 34032741 PMCID: PMC8154430 DOI: 10.1097/md.0000000000026080] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Revised: 12/13/2020] [Accepted: 01/04/2021] [Indexed: 01/04/2023] Open
Abstract
ABSTRACT To determine optimal gestational weight gain (GWG) for the Chinese population.Live singleton deliveries at the largest maternal & childcare hospital in northwest China from 2010 to 2012 were analyzed retrospectively. Multivariable logistic regression analysis was conducted to determine the lowest aggregated risk of interested perinatal outcomes based on Chinese adult body mass index (BMI) categories.Eight thousand eight hundred seventy enrolled parturients were divided into 4 groups according to their prepregnancy BMI: underweight (21.31%, BMI < 18.5 kg/m2), normal weight (67.81%, 18.5 kg/m2 ≤ BMI < 24 kg/m2), overweight (8.99%, 24 kg/m2 ≤ BMI < 28 kg/m2 and obese (1.89%, BMI ≥ 28 kg/m2). The optimal GWG values for the above 4 groups were 16.7 kg (GWG range, 12.0-21.5), 14.5 kg (9.5-19.5), 11.5 kg (7.0-16.5), and 8.0 kg (5.0-13.0). The rates of inadequate, optimal and excessive GWG in present study were 6.14% (545), 62.34% (5529), and 31.52% (2796) respectively, which were significantly different from those of the 2009 Institute of Medicine recommendation (χ2 = 1416.05, Pinteraction < 0.0001).Wider optimal GWG ranges than those recommended by Institute of Medicine were found in our study, and our proposed criteria seems to be practical to the Chinese population.
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Goto E. Ultrasound fetal anthropometry to identify large-for-gestational-age: a meta-analysis. ACTA ACUST UNITED AC 2019; 71:467-474. [PMID: 31741367 DOI: 10.23736/s0026-4784.19.04460-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
INTRODUCTION Large-for-gestational-age (LGA) has been suggested to show high rates of mortality and morbidity in pregnant women and their neonates. This study was based on data from 2015 or later to determine whether ultrasound fetal anthropometry is helpful for identifying LGA. EVIDENCE ACQUISITION Sensitivity, specificity, positive and negative likelihood ratios (LRs), and diagnostic odds ratio (DOR) of studies published in English were summarized using bivariate diagnostic meta-analysis. Study quality was assessed using the revised Quality Assessment of Diagnostic Accuracy Studies tool. Deeks' funnel plot asymmetry test was assessed to identify publication bias. EVIDENCE SYNTHESIS The findings of abdominal circumference were based on a single article. Despite high specificity (0.92), anthropometric formulas showed moderate sensitivity (0.71) and DOR (26) and were categorized as providing "neither exclusion (positive LR<10) nor confirmation (negative LR>0.1)" strategy based on 28 good-quality studies in five articles. However, they were more promising than previous meta-analytic findings not limited to 2015 or later. No publication bias was identified with respect to assessment of anthropometric formulas (P=0.286). CONCLUSIONS Current ultrasound fetal anthropometry is not strongly helpful, but the values of anthropometric formulas provided by future ultrasound are expected especially as the secondary screening of LGA.
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Affiliation(s)
- Eita Goto
- Department of Medicine and Public Health, Nagoya Medical Science Research Institute, Nagoya, Japan -
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Macrosomia. A Systematic Review of Recent Literature. ROMANIAN JOURNAL OF DIABETES NUTRITION AND METABOLIC DISEASES 2018. [DOI: 10.2478/rjdnmd-2018-0022] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Abstract
Background and aims: The obesity and overweight rate among women of childbearing age and fetal macrosomia associated with different birth injuries are very frequent all over the world and with an increasing incidence. The huge amount of published literature on this topic in the last decade is putting the practioners in a very challenging position. Material and method: We have done a systematic review on the recent literature (last five years) based on science direct database. Results: A total of 5990 articles were identified and after successive exclusion of some of them, 48 were deeply analyzed. The results were grouped in following topics: risk factors for fetal macrosomia, the pathophysiology of macrosomia, prenatal clinical and lab diagnosis and prevention of macrosomia. Conclusions: Considering the maternal, fetal and neonatal complications of macrosomia, the counseling, and monitoring of the pregnant women risk group are of particular importance for adopting a low calorie / low glycemic diet and avoiding a sedentary behaviour. Long-term follow-up of the mother and the macrosomic baby is required because of the risk of obesity, diabetes, hypertension, and metabolic syndrome later in life.
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McWhorter KL, Bowers K, Dolan LM, Deka R, Jackson CL, Khoury JC. Impact of gestational weight gain and prepregnancy body mass index on the prevalence of large-for-gestational age infants in two cohorts of women with type 1 insulin-dependent diabetes: a cross-sectional population study. BMJ Open 2018; 8:e019617. [PMID: 29602844 PMCID: PMC5884363 DOI: 10.1136/bmjopen-2017-019617] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
OBJECTIVES Despite improvements in treatment modalities, large-for-gestational age (LGA) prevalence has remained between 30% and 40% among infants of mothers with type 1 insulin-dependent diabetes mellitus (TIDM). Our objective was to estimate LGA prevalence and examine the association between gestational weight gain (GWG) and prepregnancy body mass index (BMI) with LGA among mothers with TIDM. DESIGN Cross-sectional study. SETTING Regional data in Cincinnati, Ohio, from the Diabetes in Pregnancy Program Project (PPG), a prospective cohort for the period 1978-1993; national data from Consortium on Safe Labor (CSL), a multicentre cross-sectional study for the period 2002-2008. PARTICIPANTS The study included 333 pregnancies in the PPG and 358 pregnancies in the CSL. Pregnancies delivered prior to 23 weeks' gestation were excluded. Women with TIDM in the PPG were identified according to physician confirmation of ketoacidosis, and/or c-peptide levels, and by International Classification of Diseases, ninth version codes within the CSL. LGA was identified as birth weight >90th percentile according to gestational age, race and sex. MAIN OUTCOME MEASURES LGA at birth. RESULTS Mean±SD maternal age at delivery was 26.4±5.1 years for PPG women and 27.5±6.0 years for CSL women, p=0.008. LGA prevalence did not significantly differ between cohorts (PPG: 40.2% vs CSL: 36.6%, p=0.32). More women began pregnancy as overweight in the later cohort (PPG (16.8%) vs CSL (27.1%), p<0.001). GWG exceeding Institute of Medicine (IOM) guidelines was higher in the later CSL (56.2%) vs PPG (42.3%) cohort, p<0.001. Normal-weight women with GWG within IOM guidelines had a lower LGA prevalence in CSL (PPG: 30.6% vs CSL: 13.7%), p=0.001. CONCLUSIONS Normal-weight women with GWG within IOM guidelines experienced a lower LGA prevalence, supporting the importance of adherence to IOM guidelines for GWG to reduce LGA. High BMI and GWG may be hindering a reduction in LGA prevalence.
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Affiliation(s)
- Ketrell L McWhorter
- Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Epidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Katherine Bowers
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Lawrence M Dolan
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
| | - Ranjan Deka
- Department of Environmental Health, College of Medicine, University of Cincinnati, Cincinnati, Ohio, USA
| | - Chandra L Jackson
- Epidemiology Branch, Department of Health and Human Services, National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Jane C Khoury
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
- Division of Endocrinology, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio, USA
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