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1. Maternal age is related to offspring DNA methylation: A meta‐analysis of results from the PACE consortium

Author

Yeung, Edwina, Biedrzycki, Richard J, Herrera, Laura C Gómez, Issarapu, Prachand, Dou, John, Marques, Irene Fontes, Mansuri, Sohail Rafik, Page, Christian Magnus, Harbs, Justin, Khodasevich, Dennis, Poisel, Eric, Niu, Zhongzheng, Allard, Catherine, Casey, Emma, Berstein, Fernanda Morales, Mancano, Giulia, Elliott, Hannah R, Richmond, Rebecca, He, Yiyan, Ronkainen, Justiina, Sebert, Sylvain, Bell, Erin M, Sharp, Gemma, Mumford, Sunni L, Schisterman, Enrique F, Chandak, Giriraj R, Fall, Caroline HD, Sahariah, Sirazul A, Silver, Matt J, Prentice, Andrew M, Bouchard, Luigi, Domellof, Magnus, West, Christina, Holland, Nina, Cardenas, Andres, Eskenazi, Brenda, Zillich, Lea, Witt, Stephanie H, Send, Tabea, Breton, Carrie, Bakulski, Kelly M, Fallin, M Daniele, Schmidt, Rebecca J, Stein, Dan J, Zar, Heather J, Jaddoe, Vincent WV, Wright, John, Grazuleviciene, Regina, Gutzkow, Kristine Bjerve, Sunyer, Jordi, Huels, Anke, Vrijheid, Martine, Harlid, Sophia, London, Stephanie, Hivert, Marie‐France, Felix, Janine, Bustamante, Mariona, and Guan, Weihua

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Prevention, Human Genome, Clinical Research, Women's Health, Aging, Pediatric, Good Health and Well Being, DNA Methylation, Humans, Female, Maternal Age, Infant, Newborn, Child, Adult, Male, Child, Preschool, CpG Islands, Pregnancy, aging, child, DNA methylation, melatonin, receptor, Medical and Health Sciences, Developmental Biology, Biological sciences, Biomedical and clinical sciences
Abstract

Worldwide trends to delay childbearing have increased parental ages at birth. Older parental age may harm offspring health, but mechanisms remain unclear. Alterations in offspring DNA methylation (DNAm) patterns could play a role as aging has been associated with methylation changes in gametes of older individuals. We meta-analyzed epigenome-wide associations of parental age with offspring blood DNAm of over 9500 newborns and 2000 children (5-10 years old) from the Pregnancy and Childhood Epigenetics consortium. In newborns, we identified 33 CpG sites in 13 loci with DNAm associated with maternal age (PFDR

Published
2024

2. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence

Author

Choudhary, Priyanka, Monasso, Giulietta S, Karhunen, Ville, Ronkainen, Justiina, Mancano, Giulia, Howe, Caitlin G, Niu, Zhongzheng, Zeng, Xuehuo, Guan, Weihua, Dou, John, Feinberg, Jason I, Mordaunt, Charles, Pesce, Giancarlo, Baïz, Nour, Alfano, Rossella, Martens, Dries S, Wang, Congrong, Isaevska, Elena, Keikkala, Elina, Mustaniemi, Sanna, Thio, Chris HL, Fraszczyk, Eliza, Tobi, Elmar W, Starling, Anne P, Cosin-Tomas, Marta, Urquiza, Jose, Röder, Stefan, Hoang, Thanh T, Page, Christian, Jima, Dereje D, House, John S, Maguire, Rachel L, Ott, Raffael, Pawlow, Xenia, Sirignano, Lea, Zillich, Lea, Malmberg, Anni, Rauschert, Sebastian, Melton, Phillip, Gong, Tong, Karlsson, Robert, Fore, Ruby, Perng, Wei, Laubach, Zachary M, Czamara, Darina, Sharp, Gemma, Breton, Carrie V, Schisterman, Enrique, Yeung, Edwina, Mumford, Sunni L, Fallin, M Daniele, LaSalle, Janine M, Schmidt, Rebecca J, Bakulski, Kelly M, Annesi-Maesano, Isabella, Heude, Barbara, Nawrot, Tim S, Plusquin, Michelle, Ghantous, Akram, Herceg, Zdenko, Nisticò, Lorenza, Vafeiadi, Marina, Kogevinas, Manolis, Vääräsmäki, Marja, Kajantie, Eero, Snieder, Harold, Corpeleijn, Eva, Steegers-Theunissen, Regine PM, Yang, Ivana V, Dabelea, Dana, Fossati, Serena, Zenclussen, Ana C, Herberth, Gunda, Magnus, Maria, Håberg, Siri E, London, Stephanie J, Munthe-Kaas, Monica Cheng, Murphy, Susan K, Hoyo, Cathrine, Ziegler, Anette-G, Hummel, Sandra, Witt, Stephanie H, Streit, Fabian, Frank, Josef, Räikkönen, Katri, Lahti, Jari, Huang, Rae-chi, Almqvist, Catarina, Hivert, Marie-France, Jaddoe, Vincent WV, Järvelin, Marjo-Riitta, Kantomaa, Marko, Felix, Janine F, and Sebert, Sylvain

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Prevention, Nutrition, Women's Health, Maternal Health, Human Genome, Pediatric, Social Determinants of Health, Genetics, Pregnancy, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, 1.1 Normal biological development and functioning, Generic health relevance, Reproductive health and childbirth, Good Health and Well Being, Humans, DNA Methylation, Female, Adolescent, Epigenome, Child, Educational Status, Male, Genome-Wide Association Study, Epigenesis, Genetic, Prenatal Exposure Delayed Effects, Child, Preschool, Infant, Mothers, Infant, Newborn, Adult, Academic Success, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.

Published
2024

3. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude.

Author

Rzehak, Peter, Grote, Veit, Langhendries, Jean-Paul, Verduci, Elvira, Ferre, Natalia, Gruszfeld, Darek, Gao, Lu, Guan, Weihua, Zeng, Xuehuo, Schisterman, Enrique, Dou, John, Bakulski, Kelly, Feinberg, Jason, Soomro, Munawar, Pesce, Giancarlo, Baiz, Nour, Isaevska, Elena, Plusquin, Michelle, Vafeiadi, Marina, Roumeliotaki, Theano, Langie, Sabine, Standaert, Arnout, Allard, Catherine, Perron, Patrice, Bouchard, Luigi, van Meel, Evelien, Felix, Janine, Jaddoe, Vincent, Yousefi, Paul, Ramlau-Hansen, Cecilia, Relton, Caroline, Tobi, Elmar, Starling, Anne, Yang, Ivana, Llambrich, Maria, Santorelli, Gillian, Lepeule, Johanna, Salas, Lucas, Bustamante, Mariona, Ewart, Susan, Zhang, Hongmei, Karmaus, Wilfried, Röder, Stefan, Zenclussen, Ana, Jin, Jianping, Nystad, Wenche, Page, Christian, Magnus, Maria, Jima, Dereje, Hoyo, Cathrine, Maguire, Rachel, Kvist, Tuomas, Czamara, Darina, Räikkönen, Katri, Gong, Tong, Ullemar, Vilhelmina, Rifas-Shiman, Sheryl, Oken, Emily, Almqvist, Catarina, Karlsson, Robert, Lahti, Jari, Murphy, Susan, Håberg, Siri, London, Stephanie, Herberth, Gunda, Kadalayil, Latha, Alam, Md, White, Cory, Ghantous, Akram, Walton, Esther, Gruzieva, Olena, Merid, Simon, Kumar, Ashish, Roy, Ritu, Solomon, Olivia, Huen, Karen, Arshad, Hasan, Sunyer, Jordi, Grazuleviciene, Regina, Dabelea, Dana, Steegers-Theunissen, Régine, Nohr, Ellen, Sørensen, Thorkild, Duijts, Liesbeth, Hivert, Marie-France, Nelen, Vera, Popovic, Maja, Kogevinas, Manolis, Nawrot, Tim, Herceg, Zdenko, Annesi-Maesano, Isabella, Fallin, M, Yeung, Edwina, Breton, Carrie, Koletzko, Berthold, Wiemels, Joseph, Melén, Erik, Sharp, Gemma, Silver, Matt, and Rezwan, Faisal

Subjects
Birth season, DNA methylation, Differentially methylated regions (DMR), Latitude, Meta-analysis, PACE, Child, Child, Preschool, Humans, Infant, Infant, Newborn, Asthma, Carcinogenesis, DNA Methylation, Inflammation, Seasons
Abstract

BACKGROUND: Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear. METHODS: We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points. RESULTS: We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values

Published
2023

8. Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude

Author

Kadalayil, Latha, Alam, Md. Zahangir, White, Cory Haley, Ghantous, Akram, Walton, Esther, Gruzieva, Olena, Merid, Simon Kebede, Kumar, Ashish, Roy, Ritu P., Solomon, Olivia, Huen, Karen, Eskenazi, Brenda, Rzehak, Peter, Grote, Veit, Langhendries, Jean-Paul, Verduci, Elvira, Ferre, Natalia, Gruszfeld, Darek, Gao, Lu, Guan, Weihua, Zeng, Xuehuo, Schisterman, Enrique F., Dou, John F., Bakulski, Kelly M., Feinberg, Jason I., Soomro, Munawar Hussain, Pesce, Giancarlo, Baiz, Nour, Isaevska, Elena, Plusquin, Michelle, Vafeiadi, Marina, Roumeliotaki, Theano, Langie, Sabine A. S., Standaert, Arnout, Allard, Catherine, Perron, Patrice, Bouchard, Luigi, van Meel, Evelien R., Felix, Janine F., Jaddoe, Vincent W. V., Yousefi, Paul D., Ramlau-Hansen, Cecilia H., Relton, Caroline L., Tobi, Elmar W., Starling, Anne P., Yang, Ivana V., Llambrich, Maria, Santorelli, Gillian, Lepeule, Johanna, Salas, Lucas A., Bustamante, Mariona, Ewart, Susan L., Zhang, Hongmei, Karmaus, Wilfried, Röder, Stefan, Zenclussen, Ana Claudia, Jin, Jianping, Nystad, Wenche, Page, Christian M., Magnus, Maria, Jima, Dereje D., Hoyo, Cathrine, Maguire, Rachel L., Kvist, Tuomas, Czamara, Darina, Räikkönen, Katri, Gong, Tong, Ullemar, Vilhelmina, Rifas-Shiman, Sheryl L., Oken, Emily, Almqvist, Catarina, Karlsson, Robert, Lahti, Jari, Murphy, Susan K., Håberg, Siri E., London, Stephanie, Herberth, Gunda, Arshad, Hasan, Sunyer, Jordi, Grazuleviciene, Regina, Dabelea, Dana, Steegers-Theunissen, Régine P. M., Nohr, Ellen A., Sørensen, Thorkild I. A., Duijts, Liesbeth, Hivert, Marie-France, Nelen, Vera, Popovic, Maja, Kogevinas, Manolis, Nawrot, Tim S., Herceg, Zdenko, Annesi-Maesano, Isabella, Fallin, M. Daniele, Yeung, Edwina, Breton, Carrie V., Koletzko, Berthold, Holland, Nina, Wiemels, Joseph L., Melén, Erik, Sharp, Gemma C., Silver, Matt J., Rezwan, Faisal I., and Holloway, John W.

Published
2023
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17. Gestational Weight Change in a Diverse Pregnancy Cohort and Mortality Over 50 Years: A Prospective Observational Cohort Study

Author

Hinkle, Stefanie N., primary, Mumford, Sunni L., additional, Grantz, Katherine L., additional, Mendola, Pauline, additional, Mills, James L., additional, Yeung, Edwina H., additional, Pollack, Anna Z., additional, Grandi, Sonia M., additional, Sundaram, Rajeshwari, additional, Qiao, Yan, additional, Schisterman, Enrique F., additional, and Zhang, Cuilin, additional

Published
2024
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18. Assessing the distribution of discrete survival time in presence of recall error

Author

Salehabadi, Sedigheh Mirzaei, Yeung, Edwina, Louis, Germaine M. Buck, and Sundaram, Rajeshwari

Subjects
Statistics - Methodology
Abstract

Retrospectively ascertained survival time may be subject to recall error. An example of discrete survival time with such recall error is time-to-pregnancy (TTP), the number of months non-contracepting couples require to get pregnant which is a measure of human fecundity. The epidemiological literature has demonstrated that retrospective TTP is subject to recall error and statistical models focusing on TTP have not accounted for the recall error. We propose a multistage model that utilizes women's retrospectively-reported TTP and associated certainty to estimate the TTP distribution. Our proposed model utilizes a discrete survival function that accounts for random heterogeneity arising from between women TTP data as well as a multinomial regression model to account for her certainty as accuracy may decline over time, i.e., depends on time since pregnancy in estimating the TTP distribution. Other novel features of the model include attention to whether the pregnancy was (un)planned as well as providing an approach to predict survival function for women without a reported TTP. Our model allows for the consideration of covariates for each of the underlying factors of (un)planned pregnancy, measure of certainty and TTP distribution. The proposed model is applicable for any discrete survival time when certainty in reporting may be a consideration. We use Monte Carlo simulations to assess the finite sample performance for the proposed estimators. We illustrate our proposed method using data from Upstate KIDS Study.

Published
2018

19. Prenatal and early life exposures to ambient air pollution and development

Author

Ha, Sandie, Yeung, Edwina, Bell, Erin, Insaf, Tabassum, Ghassabian, Akhgar, Bell, Griffith, Muscatiello, Neil, and Mendola, Pauline

Subjects
Biological Sciences, Environmental Sciences, Chemical Sciences, Pediatric, Climate-Related Exposures and Conditions, Clinical Research, Prevention, Aetiology, 2.2 Factors relating to the physical environment, Reproductive health and childbirth, Good Health and Well Being, Sustainable Cities and Communities, Air Pollutants, Air Pollution, Child, Child Development, Environmental Exposure, Female, Humans, Infant, New York City, Ozone, Particulate Matter, Pregnancy, Prospective Studies, Air pollution, Child development, Major roadway, Neurodevelopment, Traffic, Toxicology, Biological sciences, Chemical sciences, Environmental sciences
Abstract

BackgroundResidential proximity to major roadways, and prenatal exposures to particulate matter 1000 m away from a major roadway, those resided 50-100 m [RR: 2.12 (1.00-4.52)] and 100-500 m [RR: 2.07 (1.02-4.22)] away had twice the risk of failing the communication domain. Prenatal exposures to both PM2.5 and ozone during various pregnancy windows had weak but significant associations with failing any developmental domain with effects ranging from 1.6% to 2.7% for a 10 μg/m3 increase in PM2.5 and 0.7%-1.7% for a 10 ppb increase in ozone. Average daily postnatal ozone exposure was positively associated with failing the overall screening by 8 months [3.3% (1.1%-5.5%)], 12 months [17.7% (10.4%-25.5%)], and 30 months [7.6%, (1.3%-14.3%)]. Findings were mixed for postnatal PM2.5 exposures.ConclusionsIn this prospective cohort study, proximity to major roadway and prenatal/early-life exposures to PM2.5 and O3 were associated with developmental delays. While awaiting larger studies with personal air pollution assessment, efforts to minimize air pollution exposures during critical developmental windows may be warranted.

Published
2019

29. Age at Menarche and Risk of Gestational Diabetes Mellitus: A Prospective Cohort Study Among 27,482 Women

Author

Chen, Liwei, Li, Shanshan, He, Chunyan, Zhu, Yeyi, Louis, Germaine M Buck, Yeung, Edwina, Hu, Frank B, and Zhang, Cuilin

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Health Sciences, Pediatric, Clinical Research, Prevention, Diabetes, Perinatal Period - Conditions Originating in Perinatal Period, Obesity, Reproductive health and childbirth, Adiposity, Adult, Age Factors, Diabetes, Gestational, Female, Humans, Menarche, Odds Ratio, Pregnancy, Prospective Studies, Risk Factors, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences
Abstract

ObjectiveTo examine the association between age at menarche and risk of gestational diabetes mellitus (GDM).Research design and methodsA prospective cohort study of 42,109 eligible pregnancies from 27,482 women in the Nurses' Health Study II.ResultsThe adjusted risk ratios for GDM across the age at menarche categories (≤11, 12, 13, and ≥14 years) were 1.34 (95% CI 1.14-1.58), 1.13 (0.97-1.31), 1.11 (0.95-1.29), and 1.00 (referent; P for trend = 0.0005), respectively. Analysis of the mediating effect indicated that 42.1% (P = 0.0007) of the association was mediated through prepregnancy BMI.ConclusionsThese findings suggested that earlier menarche was significantly associated with an increased risk of GDM. This association was largely mediated through prepregnancy excessive body adiposity.

Published
2016

30. Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence

Author

Choudhary, Priyanka, primary, Monasso, Giulietta S., additional, Karhunen, Ville, additional, Ronkainen, Justiina, additional, Mancano, Giulia, additional, Howe, Caitlin G., additional, Niu, Zhongzheng, additional, Zeng, Xuehuo, additional, Guan, Weihua, additional, Dou, John, additional, Feinberg, Jason I., additional, Mordaunt, Charles, additional, Pesce, Giancarlo, additional, Baïz, Nour, additional, Alfano, Rossella, additional, Martens, Dries S., additional, Wang, Congrong, additional, Isaevska, Elena, additional, Keikkala, Elina, additional, Mustaniemi, Sanna, additional, Thio, Chris H. L., additional, Fraszczyk, Eliza, additional, Tobi, Elmar W., additional, Starling, Anne P., additional, Cosin-Tomas, Marta, additional, Urquiza, Jose, additional, Röder, Stefan, additional, Hoang, Thanh T., additional, Page, Christian, additional, Jima, Dereje D., additional, House, John S., additional, Maguire, Rachel L., additional, Ott, Raffael, additional, Pawlow, Xenia, additional, Sirignano, Lea, additional, Zillich, Lea, additional, Malmberg, Anni, additional, Rauschert, Sebastian, additional, Melton, Phillip, additional, Gong, Tong, additional, Karlsson, Robert, additional, Fore, Ruby, additional, Perng, Wei, additional, Laubach, Zachary M., additional, Czamara, Darina, additional, Sharp, Gemma, additional, Breton, Carrie V., additional, Schisterman, Enrique, additional, Yeung, Edwina, additional, Mumford, Sunni L., additional, Fallin, M. Daniele, additional, LaSalle, Janine M., additional, Schmidt, Rebecca J., additional, Bakulski, Kelly M., additional, Annesi-Maesano, Isabella, additional, Heude, Barbara, additional, Nawrot, Tim S., additional, Plusquin, Michelle, additional, Ghantous, Akram, additional, Herceg, Zdenko, additional, Nisticò, Lorenza, additional, Vafeiadi, Marina, additional, Kogevinas, Manolis, additional, Vääräsmäki, Marja, additional, Kajantie, Eero, additional, Snieder, Harold, additional, Corpeleijn, Eva, additional, Steegers-Theunissen, Regine P. M., additional, Yang, Ivana V., additional, Dabelea, Dana, additional, Fossati, Serena, additional, Zenclussen, Ana C., additional, Herberth, Gunda, additional, Magnus, Maria, additional, Håberg, Siri E., additional, London, Stephanie J., additional, Munthe-Kaas, Monica Cheng, additional, Murphy, Susan K., additional, Hoyo, Cathrine, additional, Ziegler, Anette-G, additional, Hummel, Sandra, additional, Witt, Stephanie H., additional, Streit, Fabian, additional, Frank, Josef, additional, Räikkönen, Katri, additional, Lahti, Jari, additional, Huang, Rae-chi, additional, Almqvist, Catarina, additional, Hivert, Marie-France, additional, Jaddoe, Vincent W. V., additional, Järvelin, Marjo-Riitta, additional, Kantomaa, Marko, additional, Felix, Janine F., additional, and Sebert, Sylvain, additional

Published
2023
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31. Examination of newborn DNA methylation among women with polycystic ovary syndrome/hirsutism

Author

Polinski, Kristen J., primary, Robinson, Sonia L., additional, Putnick, Diane L., additional, Sundaram, Rajeshwari, additional, Bell, Erin, additional, Joseph, Paule V., additional, Segars, James, additional, Guan, Weihua, additional, Silver, Robert M., additional, Schisterman, Enrique F., additional, Mumford, Sunni L., additional, and Yeung, Edwina H., additional

Published
2023
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32. History of multifetal gestation and long‐term maternal mortality

Author

Mitro, Susanna D., primary, Sundaram, Rajeshwari, additional, Qiao, Yan, additional, Gleason, Jessica L., additional, Yeung, Edwina, additional, Hinkle, Stefanie N., additional, Mendola, Pauline, additional, Mills, James L., additional, Grandi, Sonia M., additional, Mumford, Sunni L., additional, Schisterman, Enrique F., additional, Zhang, Cuilin, additional, and Grantz, Katherine L., additional

Published
2023
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35. Association between Support from a Health Professional and Breastfeeding Knowledge and Practices Among Obese Women: Evidence from the Infant Practices Study II

Author

Jarlenski, Marian, McManus, Jenny, Diener-West, Marie, Schwarz, Eleanor Bimla, Yeung, Edwina, and Bennett, Wendy L

Subjects
Public Health, Health Sciences, Obesity, Nutrition, Pediatric, 3.1 Primary prevention interventions to modify behaviours or promote wellbeing, Prevention of disease and conditions, and promotion of well-being, Cancer, Stroke, Adolescent, Adult, Body Mass Index, Breast Feeding, Female, Health Care Surveys, Health Knowledge, Attitudes, Practice, Humans, Infant, Middle Aged, Mothers, Overweight, Physician-Patient Relations, Physicians, Postpartum Period, Social Support, Surveys and Questionnaires, United States, Young Adult, Paediatrics and Reproductive Medicine, Public Health and Health Services, Midwifery, Public health, Policy and administration
Abstract

BackgroundObese women are less likely to initiate and continue breastfeeding. We described barriers to breastfeeding and examined the association between support from a health professional and breastfeeding knowledge and practices, by prepregnancy obesity status.MethodsUsing data from the Infant Feeding Practices Study II, a cohort of U.S. women (N = 2,997), we performed descriptive statistics to describe barriers to breastfeeding by prepregnancy obesity status. We conducted multivariable regression to examine the association of breastfeeding support from a physician or nonphysician health professional with knowledge of the recommended duration of breastfeeding, breastfeeding initiation, and breastfeeding duration, and whether breastfeeding support had different associations with outcomes by prepregnancy obesity status. Average marginal effects were calculated from regression models to interpret results as percentage-point changes.FindingsBelieving that formula was as good as breast milk was the most commonly cited reason for not initiating breastfeeding, and milk supply concerns were cited as reasons for not continuing breastfeeding. Physician breastfeeding support was associated with a 9.4 percentage-point increase (p < .05) in breastfeeding knowledge among obese women, although no increase was observed among nonobese women. Breastfeeding support from a physician or nonphysician health professional was associated with a significantly increased probability of breastfeeding initiation (8.5 and 12.5 percentage points, respectively) and breastfeeding for 6 months (12.5 and 8.4 percentage points, respectively), without differential associations by prepregnancy obesity.ConclusionsSupport for exclusive breastfeeding is an important predictor of breastfeeding initiation and duration among obese and nonobese women. Health educational interventions tailored to obese women might improve their breastfeeding initiation and continuation.

Published
2014

38. History of multifetal gestation and long‐term maternal mortality.

Author

Mitro, Susanna D., Sundaram, Rajeshwari, Qiao, Yan, Gleason, Jessica L., Yeung, Edwina, Hinkle, Stefanie N., Mendola, Pauline, Mills, James L., Grandi, Sonia M., Mumford, Sunni L., Schisterman, Enrique F., Zhang, Cuilin, and Grantz, Katherine L.

Subjects
PREECLAMPSIA, SOCIAL Security (United States), MATERNAL mortality, PREGNANCY, PREGNANCY complications, PROPORTIONAL hazards models
Abstract

Background: Multifetal gestation could be associated with higher long‐term maternal mortality because it increases the risk of pregnancy complications such as preeclampsia and preterm birth, which are in turn linked to postpartum cardiovascular risk. Objectives: We examined whether spontaneously conceived multifetal versus singleton gestation was associated with long‐term maternal mortality in a racially diverse U.S. cohort. Methods: We ascertained vital status as of 2016 via linkage to the National Death Index and Social Security Death Master File of 44,174 mothers from the Collaborative Perinatal Project (CPP; 1959–1966). Cox proportional hazards models with maternal age as the time scale assessed associations between history of spontaneous multifetal gestation (in the last CPP observed pregnancy or prior pregnancy) and all‐cause and cardiovascular mortality, adjusted for demographics, smoking status, and preexisting medical conditions. We calculated hazard ratios (HR) for all‐cause and cause‐specific mortality over the study period and until age 50, 60, and 70 years (premature mortality). Results: Of eligible participants, 1672 (3.8%) had a history of multifetal gestation. Participants with versus without a history of multifetal gestation were older, more likely to have a preexisting condition, and more likely to smoke. By 2016, 51% of participants with and 38% of participants without a history of multifetal gestation had died (unadjusted all‐cause HR 1.14, 95% confidence interval [CI] 1.07, 1.23). After adjustment for smoking and preexisting conditions, a history of multifetal gestation was not associated with all‐cause (adjusted HR 1.00, 95% CI 0.93, 1.08) or cardiovascular mortality (adjusted HR 0.99, 95% CI 0.87, 1.11) over the study period. However, history of multifetal gestation was associated with an 11% lower risk of premature all‐cause mortality (adjusted HR 0.89, 95% CI 0.82, 0.96). Conclusions: In a cohort with over 50 years of follow‐up, history of multifetal gestation was not associated with all‐cause mortality, but may be associated with a lower risk of premature mortality. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Rare copy number variants identified in prune belly syndrome

Author

Boghossian, Nansi S., Sicko, Robert J., Giannakou, Andreas, Dimopoulos, Aggeliki, Caggana, Michele, Tsai, Michael Y., Yeung, Edwina H., Pankratz, Nathan, Cole, Benjamin R., Romitti, Paul A., Browne, Marilyn L., Fan, Ruzong, Liu, Aiyi, Kay, Denise M., and Mills, James L.

Published
2018
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42. Prepregnancy Consumption of Fruits and Fruit Juices and the Risk of Gestational Diabetes Mellitus A prospective cohort study

Author

Chen, Liwei, Hu, Frank B, Yeung, Edwina, Tobias, Deirdre K, Willett, Walter C, and Zhang, Cuilin

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Health Sciences, Clinical Research, Nutrition, Diabetes, Reproductive health and childbirth, Adult, Beverages, Diabetes, Gestational, Female, Fruit, Humans, Pregnancy, Young Adult, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences
Abstract

ObjectiveExamine the association of prepregnancy habitual consumption of fruits and fruit juices and gestational diabetes mellitus (GDM) risk.Research design and methodsA prospective study among women with at least one singleton pregnancy in the Nurses' Health Study II from 1991 to 2001.ResultsAmong 13,475 women, 860 reported a first diagnosis of GDM. The adjusted relative risks (RRs) for GDM from the lowest to highest quintile of whole fruit consumption were 1.00 (referent), 0.80 (95% CI 0.65-0.98), 0.90 (0.73-1.10), 0.80 (0.64-1.00), and 0.93 (0.76-1.16), respectively. The corresponding RRs for fruit juice were 1.00, 0.82 (0.66-1.01), 0.78 (0.63-0.96), 0.84 (0.68-1.04), and 1.00 (0.81-1.23).ConclusionsThese data suggest that prepregnancy higher consumption of whole fruits is not associated with an increased GDM risk. The association between fruit juices and GDM risk appears to be nonlinear.

Published
2012

45. Prospective Study of Pre-Gravid Sugar-Sweetened Beverage Consumption and the Risk of Gestational Diabetes Mellitus

Author

Chen, Liwei, Hu, Frank B, Yeung, Edwina, Willett, Walter, and Zhang, Cuilin

Subjects
Biomedical and Clinical Sciences, Public Health, Health Sciences, Nutrition and Dietetics, Reproductive Medicine, Diabetes, Prevention, Pediatric, Obesity, Nutrition, Perinatal Period - Conditions Originating in Perinatal Period, Clinical Research, Metabolic and endocrine, Reproductive health and childbirth, Cardiovascular, Beverages, Diabetes, Gestational, Female, Humans, Pregnancy, Prospective Studies, Risk Factors, Sucrose, United States, Medical and Health Sciences, Endocrinology & Metabolism, Biomedical and clinical sciences, Health sciences
Abstract

ObjectiveConsumption of sugar-sweetened beverages (SSBs) was related to an elevated risk of type 2 diabetes and insulin resistance in several recent studies among middle- or older-aged populations. Studies on SSB consumption and glucose intolerance among pregnant women, however, are lacking. We therefore examined the association between regular SSB consumption before pregnancy and the risk of gestational diabetes mellitus (GDM).Research design and methodsThis was a prospective study among 13,475 U.S. women who reported at least one singleton pregnancy between 1992 and 2001 in the Nurses' Health Study II. GDM was self-reported and validated by medical record review in a subsample. Cox proportional hazards models with multivariate adjustments were applied to examine the association of SSB consumption with GDM risk.ResultsDuring 10 years of follow-up, 860 incident GDM case subjects were identified. After adjustment for age, parity, race, physical activity, smoking, alcohol intake, prepregnancy BMI, and Western dietary pattern, intake of sugar-sweetened cola was positively associated with the risk of GDM, whereas no significant association was found for other SSBs and diet beverages. Compared with women who consumed or=5 servings/week of sugar-sweetened cola had a 22% greater GDM risk (relative risk 1.22 [95% CI 1.01-1.47]).ConclusionsFindings from this study suggest that prepregnancy higher consumption of sugar-sweetened cola (>or=5 servings/week) is associated with an elevated GDM risk, whereas no significant association with GDM risk was observed for other SSBs and diet beverages.

Published
2009

46. Large-Scale Data Harmonization Across Prospective Studies

Author

Pan, Ke, primary, Bazzano, Lydia A, additional, Betha, Kalpana, additional, Charlton, Brittany M, additional, Chavarro, Jorge E, additional, Cordero, Christina, additional, Gunderson, Erica P, additional, Haggerty, Catherine L, additional, Hart, Jaime E, additional, Jukic, Anne Marie, additional, Ley, Sylvia H, additional, Mishra, Gita D, additional, Mumford, Sunni L, additional, Schisterman, Enrique F, additional, Schliep, Karen, additional, Shaffer, Jeffrey G, additional, Sotres-Alvarez, Daniela, additional, Stanford, Joseph B, additional, Wilcox, Allen J, additional, Wise, Lauren A, additional, Yeung, Edwina, additional, and Harville, Emily W, additional

Published
2023
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