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1. A Deep Learning-Based Method for Metal Artifact-Resistant Syn-MP-RAGE Contrast Synthesis

Author

Zeng, Ziyi, Wang, Yuhao, Hu, Dianlin, O'Shea, T. Michael, Fry, Rebecca C., Cai, Jing, and Zhang, Lei

Subjects
Physics - Medical Physics, Electrical Engineering and Systems Science - Image and Video Processing
Abstract

In certain brain volumetric studies, synthetic T1-weighted magnetization-prepared rapid gradient-echo (MP-RAGE) contrast, derived from quantitative T1 MRI (T1-qMRI), proves highly valuable due to its clear white/gray matter boundaries for brain segmentation. However, generating synthetic MP-RAGE (syn-MP-RAGE) typically requires pairs of high-quality, artifact-free, multi-modality inputs, which can be challenging in retrospective studies, where missing or corrupted data is common. To overcome this limitation, our research explores the feasibility of employing a deep learning-based approach to synthesize syn-MP-RAGE contrast directly from a single channel turbo spin-echo (TSE) input, renowned for its resistance to metal artifacts. We evaluated this deep learning-based synthetic MP-RAGE (DL-Syn-MPR) on 31 non-artifact and 11 metal-artifact subjects. The segmentation results, measured by the Dice Similarity Coefficient (DSC), consistently achieved high agreement (DSC values above 0.83), indicating a strong correlation with reference segmentations, with lower input requirements. Also, no significant difference in segmentation performance was observed between the artifact and non-artifact groups., Comment: 11 pages, 8 figures, 2 tables

Published
2024

2. NuSTAR as an Axion Helioscope

Author

Ruz, J., Todarello, E., Vogel, J. K., Giannotti, M., Grefenstette, B., Hudson, H. S., Hannah, I. G., Irastorza, I. G., Kim, C. S., O'Shea, T., Regis, M., Smith, D. M., Taoso, M., and Bueno, J. Trujillo

Subjects
Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Solar and Stellar Astrophysics, High Energy Physics - Experiment, High Energy Physics - Phenomenology
Abstract

The nature of dark matter in the Universe is still an open question in astrophysics and cosmology. Axions and axion-like particles (ALPs) offer a compelling solution, and traditionally ground-based experiments have eagerly, but to date unsuccessfully, searched for these hypothetical low-mass particles that are expected to be produced in large quantities in the strong electromagnetic fields in the interior of stars. This work offers a fresh look at axions and ALPs by leveraging their conversion into X-rays in the magnetic field of the Sun's atmosphere rather than a laboratory magnetic field. Unique data acquired with the Nuclear Spectroscopic Telescope Array (NuSTAR) during the solar minimum in 2020 allows us to set stringent limits on the coupling of axions to photons using state-of-the-art magnetic field models of the solar atmosphere. We report pioneering limits on the axion-photon coupling strength of $6.9\times 10^{-12}$ GeV$^{-1}$ at 95\% confidence level for axion masses $m_a \lesssim 2\times 10^{-7}$ eV, surpassing current ground-based searches and further probing unexplored regions of the axion-photon coupling parameter space up to axion masses of $m_a \lesssim 5\times 10^{-4}$ eV., Comment: 23 pages, 12 figures

Published
2024

3. Development and Validation of a Novel Placental DNA Methylation Biomarker of Maternal Smoking during Pregnancy in the ECHO Program

Author

Shorey-Kendrick, Lyndsey E, Davis, Brett, Gao, Lina, Park, Byung, Vu, Annette, Morris, Cynthia D, Breton, Carrie V, Fry, Rebecca, Garcia, Erika, Schmidt, Rebecca J, O’Shea, T Michael, Tepper, Robert S, McEvoy, Cindy T, Spindel, Eliot R, and Outcomes, on behalf of program collaborators for Environmental influences on Child Health

Subjects
Reproductive Medicine, Biomedical and Clinical Sciences, Prevention, Tobacco Smoke and Health, Tobacco, Clinical Research, Pediatric, Conditions Affecting the Embryonic and Fetal Periods, Perinatal Period - Conditions Originating in Perinatal Period, Reproductive health and childbirth, Good Health and Well Being, Humans, Female, Pregnancy, DNA Methylation, Placenta, Biomarkers, Adult, Double-Blind Method, Machine Learning, program collaborators for Environmental influences on Child Health Outcomes, Environmental Sciences, Medical and Health Sciences, Toxicology, Biomedical and clinical sciences, Environmental sciences, Health sciences
Abstract

BackgroundMaternal cigarette smoking during pregnancy (MSDP) is associated with numerous adverse health outcomes in infants and children with potential lifelong consequences. Negative effects of MSDP on placental DNA methylation (DNAm), placental structure, and function are well established.ObjectiveOur aim was to develop biomarkers of MSDP using DNAm measured in placentas (N=96), collected as part of the Vitamin C to Decrease the Effects of Smoking in Pregnancy on Infant Lung Function double-blind, placebo-controlled randomized clinical trial conducted between 2012 and 2016. We also aimed to develop a digital polymerase chain reaction (PCR) assay for the top ranking cytosine-guanine dinucleotide (CpG) so that large numbers of samples can be screened for exposure at low cost.MethodsWe compared the ability of four machine learning methods [logistic least absolute shrinkage and selection operator (LASSO) regression, logistic elastic net regression, random forest, and gradient boosting machine] to classify MSDP based on placental DNAm signatures. We developed separate models using the complete EPIC array dataset and on the subset of probes also found on the 450K array so that models exist for both platforms. For comparison, we developed a model using CpGs previously associated with MSDP in placenta. For each final model, we used model coefficients and normalized beta values to calculate placental smoking index (PSI) scores for each sample. Final models were validated in two external datasets: the Extremely Low Gestational Age Newborn observational study, N=426; and the Rhode Island Children's Health Study, N=237.ResultsLogistic LASSO regression demonstrated the highest performance in cross-validation testing with the lowest number of input CpGs. Accuracy was greatest in external datasets when using models developed for the same platform. PSI scores in smokers only (n=72) were moderately correlated with maternal plasma cotinine levels. One CpG (cg27402634), with the largest coefficient in two models, was measured accurately by digital PCR compared with measurement by EPIC array (R2=0.98).DiscussionTo our knowledge, we have developed the first placental DNAm-based biomarkers of MSDP with broad utility to studies of prenatal disease origins. https://doi.org/10.1289/EHP13838.

Published
2024

5. Developmental characteristics and accuracy of autism screening among two-year-old toddlers in the ECHO program

Author

Shuster, Coral L., Brennan, Patricia A., Carter, Brian S., Check, Jennifer, D’Sa, Viren, Graff, Joyce C., Helderman, Jennifer, Hofheimer, Julie A., Joseph, Robert M., Murphy, Laura E., O’Connor, Thomas G., O’Shea, T. Michael, Pievsky, Michelle, Sheinkopf, Stephen J., Shuffrey, Lauren C., Smith, Lynne M., Wu, Pei-Chi, and Lester, Barry M.

Published
2024
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6. Prospects on the Detection of Solar Dark Photons by the International Axion Observatory

Author

O'Shea, T., Giannotti, M., Irastorza, I. G., Plasencia, L. M., Redondo, J., Ruz, J., and Vogel, J. K.

Subjects
High Energy Physics - Phenomenology, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Solar and Stellar Astrophysics
Abstract

Dark (hidden) photons are widely recognised as well motivated candidates for physics beyond the standard model, and have been invoked for the solution of several outstanding problems, including to account for the dark matter in the universe. In this paper, we consider a simple model for dark photons, which is coupled to ordinary matter only through kinetic mixing with ordinary photons. Within this framework, we calculate the flux of solar dark photons on Earth and revise the potential to detect it with the next generation of axion helioscopes, particularly with the International AXion Observatory (IAXO). This paper extends on previous theoretical analyses in two main ways. Firstly, it includes a more complete analysis of the possible sources of dark photons from the sun, including the contribution of the solar magnetic field and of nuclear processes, and secondly it includes predictions on the parameter space accessible in the gas-filled phase of IAXO., Comment: v2: minor changes. Included a range for the solar magnetic field strength. Matches the published version

Published
2023
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9. Development and Psychometric Validation of the Pandemic-Related Traumatic Stress Scale for Children and Adults

Author

Blackwell, Courtney K, Sherlock, Phillip, Jackson, Kathryn L, Hofheimer, Julie A, Cella, David, Algermissen, Molly A, Alshawabkeh, Akram N, Avalos, Lyndsay A, Bastain, Tracy, Blair, Clancy, Enlow, Michelle Bosquet, Brennan, Patricia A, Breton, Carrie, Bush, Nicole R, Chandran, Aruna, Collazo, Shaina, Conradt, Elisabeth, Crowell, Sheila E, Deoni, Sean, Elliott, Amy J, Frazier, Jean A, Ganiban, Jody M, Gold, Diane R, Herbstman, Julie B, Joseph, Christine, Karagas, Margaret R, Lester, Barry, Lasky-Su, Jessica A, Leve, Leslie D, LeWinn, Kaja Z, Mason, W Alex, McGowan, Elisabeth C, McKee, Kimberly S, Miller, Rachel L, Neiderhiser, Jenae M, O’Connor, Thomas G, Oken, Emily, O’Shea, T Michael, Pagliaccio, David, Schmidt, Rebecca J, Singh, Anne Marie, Stanford, Joseph B, Trasande, Leonardo, Wright, Rosalind J, Duarte, Cristiane S, and Margolis, Amy E

Subjects
Clinical and Health Psychology, Social and Personality Psychology, Psychology, Behavioral and Social Science, Clinical Research, Mental Health, Pediatric, Brain Disorders, Depression, Neurosciences, Pediatric Research Initiative, Aetiology, 2.3 Psychological, social and economic factors, Mental health, Good Health and Well Being, United States, Adolescent, Pregnancy, Humans, Adult, Child, Female, Male, Pandemics, Psychometrics, Reproducibility of Results, Anxiety, Anxiety Disorders, COVID-19, traumatic stress, pandemic, survey, Mokken scaling, Business and Management, Cognitive Sciences, Clinical Psychology, Applied and developmental psychology, Cognitive and computational psychology, Social and personality psychology
Abstract

To assess the public health impact of the COVID-19 pandemic on mental health, investigators from the National Institutes of Health Environmental influences on Child Health Outcomes (ECHO) research program developed the Pandemic-Related Traumatic Stress Scale (PTSS). Based on the Diagnostic and Statistical Manual of Mental Disorders, 5th Edition (DSM-5) acute stress disorder symptom criteria, the PTSS is designed for adolescent (13-21 years) and adult self-report and caregiver-report on 3-12-year-olds. To evaluate psychometric properties, we used PTSS data collected between April 2020 and August 2021 from non-pregnant adult caregivers (n = 11,483), pregnant/postpartum individuals (n = 1,656), adolescents (n = 1,795), and caregivers reporting on 3-12-year-olds (n = 2,896). We used Mokken scale analysis to examine unidimensionality and reliability, Pearson correlations to evaluate relationships with other relevant variables, and analyses of variance to identify regional, age, and sex differences. Mokken analysis resulted in a moderately strong, unidimensional scale that retained nine of the original 10 items. We detected small to moderate positive associations with depression, anxiety, and general stress, and negative associations with life satisfaction. Adult caregivers had the highest PTSS scores, followed by adolescents, pregnant/postpartum individuals, and children. Caregivers of younger children, females, and older youth had higher PTSS scores compared to caregivers of older children, males, and younger youth, respectively. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Published
2023

10. Epigenetic associations with neonatal age in infants born very preterm, particularly among genes involved in neurodevelopment

Author

Hodge, Kenyaita M., Burt, Amber A., Camerota, Marie, Carter, Brian S., Check, Jennifer, Conneely, Karen N., Helderman, Jennifer, Hofheimer, Julie A., Hüls, Anke, McGowan, Elisabeth C., Neal, Charles R., Pastyrnak, Steven L., Smith, Lynne M., DellaGrotta, Sheri A., Dansereau, Lynne M., O’Shea, T. Michael, Marsit, Carmen J., Lester, Barry M., and Everson, Todd M.

Published
2024
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12. Life satisfaction for adolescents with developmental and behavioral disabilities during the COVID-19 pandemic

Author

Sherlock, Phillip, Mansolf, Maxwell, Blackwell, Courtney K., Blair, Clancy, Cella, David, Deoni, Sean, Fry, Rebecca C., Ganiban, Jody, Gershon, Richard, Herbstman, Julie B., Lai, Jin-Shei, Leve, Leslie D., LeWinn, Kaja Z., Margolis, Amy E., Miller, Elizabeth B., Neiderhiser, Jenae M., Oken, Emily, O’Shea, T. Michael, Stanford, Joseph B., and Zelazo, Philip D.

Published
2024
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13. Neurodevelopmental and behavioral outcomes of very preterm infants: latent profile analysis in the Environmental influences on Child Health Outcomes (ECHO) Program

Author

Camerota, Marie, McGowan, Elisabeth C., Aschner, Judy, Stroustrup, Annemarie, O’Shea, T. Michael, Hofheimer, Julie A., Joseph, Robert M., Musci, Rashelle, Taylor, Genevieve, Carter, Brian S., Check, Jennifer, Dansereau, Lynne M., Gogcu, Semsa, Helderman, Jennifer B., Neal, Charles R., Pastyrnak, Steven L., Smith, Lynne M., Marsit, Carmen J., and Lester, Barry M.

Published
2024
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14. Maternal stress and early childhood BMI among US children from the Environmental influences on Child Health Outcomes (ECHO) program

Author

Wood, Charles T., Churchill, Marie L., McGrath, Monica, Aschner, Judy, Brunwasser, Steven M., Geiger, Sarah, Gogcu, Semsa, Hartert, Tina V., Hipwell, Allison E., Lee-Sarwar, Kathleen, Lyall, Kristen, Moog, Nora K., O’Connor, Thomas G., O’Shea, T. Michael, Smith, P. Brian, Wright, Rosalind J., Zhang, Xueying, Zimmerman, Emily, Huddleston, Kathi C., and Brown, Callie L.

Published
2023
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15. Association of maternal education, neighborhood deprivation, and racial segregation with gestational age at birth by maternal race/ethnicity and United States Census region in the ECHO cohorts

Author

Dunlop, Anne L, Burjak, Mohamad, Dean, Lorraine T, Alshawabkeh, Akram N, Avalos, Lyndsay A, Aschner, Judy L, Breton, Carrie V, Charifson, Mia A, Cordero, Jose, Dabelea, Dana, D’Sa, Viren, Duarte, Cristiane S, Elliott, Amy J, Eick, Stephanie M, Ferrara, Assiamira, Fichorova, Raina N, Ganiban, Jody M, Gern, James E, Hedderson, Monique M, Herbstman, Julie B, Hipwell, Alison E, Huddleston, Kathi C, Karagas, Margaret, Karr, Catherine, Kerver, Jean M, Koinis-Mitchell, Daphne, Lyall, Kristen, Madan, Juliette, Marsit, Carmen, McEvoy, Cindy T, Meeker, John D, Oken, Emily, O’Shea, T Michael, Padula, Amy M, Sathyanarayana, Sheela, Schantz, Susan, Schmidt, Rebecca J, Snowden, Jessica, Stanford, Joseph B, Weiss, Scott, Wright, Robert O, Wright, Rosalind J, Zhang, Xueying, and McGrath, Monica

Subjects
Epidemiology, Public Health, Health Sciences, Prevention, Perinatal Period - Conditions Originating in Perinatal Period, Basic Behavioral and Social Science, Maternal Health, Behavioral and Social Science, Women's Health, Preterm, Low Birth Weight and Health of the Newborn, Pediatric, Minority Health, Health Disparities, Clinical Research, Reproductive health and childbirth, Pregnancy, Female, Child, Humans, Infant, Newborn, United States, Ethnicity, Gestational Age, Premature Birth, Censuses, Educational Status, Social Segregation, gestational age, premature birth, residential segregation, socioeconomic status, racial and ethnic health disparities, ECHO program, Public Health and Health Services, Health services and systems, Public health
Abstract

BackgroundIn the United States, disparities in gestational age at birth by maternal race, ethnicity, and geography are theorized to be related, in part, to differences in individual- and neighborhood-level socioeconomic status (SES). Yet, few studies have examined their combined effects or whether associations vary by maternal race and ethnicity and United States Census region.MethodsWe assembled data from 34 cohorts in the Environmental influences on Child Health Outcomes (ECHO) program representing 10,304 participants who delivered a liveborn, singleton infant from 2000 through 2019. We investigated the combined associations of maternal education level, neighborhood deprivation index (NDI), and Index of Concentration at the Extremes for racial residential segregation (ICERace) on gestational weeks at birth using linear regression and on gestational age at birth categories (preterm, early term, post-late term relative to full term) using multinomial logistic regression.ResultsAfter adjustment for NDI and ICERace, gestational weeks at birth was significantly lower among those with a high school diploma or less (-0.31 weeks, 95% CI: -0.44, -0.18), and some college (-0.30 weeks, 95% CI: -0.42, -0.18) relative to a master's degree or higher. Those with a high school diploma or less also had an increased odds of preterm (aOR 1.59, 95% CI: 1.20, 2.10) and early term birth (aOR 1.26, 95% CI: 1.05, 1.51). In adjusted models, NDI quartile and ICERace quartile were not associated with gestational weeks at birth. However, higher NDI quartile (most deprived) associated with an increased odds of early term and late term birth, and lower ICERace quartile (least racially privileged) associated with a decreased odds of late or post-term birth. When stratifying by region, gestational weeks at birth was lower among those with a high school education or less and some college only among those living in the Northeast or Midwest. When stratifying by race and ethnicity, gestational weeks at birth was lower among those with a high school education or less only for the non-Hispanic White category.ConclusionIn this study, maternal education was consistently associated with shorter duration of pregnancy and increased odds of preterm birth, including in models adjusted for NDI and ICERace.

Published
2023

16. Opportunities for understanding the COVID-19 pandemic and child health in the United States: the Environmental influences on Child Health Outcomes (ECHO) program

Author

Bekelman, Traci A, Trasande, Leonardo, Law, Andrew, Blackwell, Courtney K, Jacobson, Lisa P, Bastain, Theresa M, Breton, Carrie V, Elliott, Amy J, Ferrara, Assiamira, Karagas, Margaret R, Aschner, Judy L, Bornkamp, Nicole, Camargo, Carlos A, Comstock, Sarah S, Dunlop, Anne L, Ganiban, Jody M, Gern, James E, Karr, Catherine J, Kelly, Rachel S, Lyall, Kristen, O’Shea, T Michael, Schweitzer, Julie B, and LeWinn, Kaja Z

Subjects
Paediatrics, Biomedical and Clinical Sciences, Neurosciences, Prevention, Pediatric, Clinical Research, Health Services, American Indian or Alaska Native, Pediatric Research Initiative, 2.4 Surveillance and distribution, Aetiology, Good Health and Well Being, life course approach, environmental exposures, health disparities, parent-child dyads, pediatric health, health behaviors, Paediatrics and Reproductive Medicine, Other Medical and Health Sciences
Abstract

ObjectiveOngoing pediatric cohort studies offer opportunities to investigate the impact of the COVID-19 pandemic on children's health. With well-characterized data from tens of thousands of US children, the Environmental influences on Child Health Outcomes (ECHO) Program offers such an opportunity.MethodsECHO enrolled children and their caregivers from community- and clinic-based pediatric cohort studies. Extant data from each of the cohorts were pooled and harmonized. In 2019, cohorts began collecting data under a common protocol, and data collection is ongoing with a focus on early life environmental exposures and five child health domains: birth outcomes, neurodevelopment, obesity, respiratory, and positive health. In April of 2020, ECHO began collecting a questionnaire designed to assess COVID-19 infection and the pandemic's impact on families. We describe and summarize the characteristics of children who participated in the ECHO Program during the COVID-19 pandemic and novel opportunities for scientific advancement.ResultsThis sample (n = 13,725) was diverse by child age (31% early childhood, 41% middle childhood, and 16% adolescence up to age 21), sex (49% female), race (64% White, 15% Black, 3% Asian, 2% American Indian or Alaska Native,

Published
2023

17. Innovative computational approaches shed light on genetic mechanisms underlying cognitive impairment among children born extremely preterm

Author

Liu, Weifang, Sun, Quan, Huang, Le, Bhattacharya, Arjun, Wang, Geoffery W, Tan, Xianming, Kuban, Karl CK, Joseph, Robert M, O’Shea, T Michael, Fry, Rebecca C, Li, Yun, and Santos, Hudson P

Subjects
Paediatrics, Biomedical and Clinical Sciences, Neurosciences, Pediatric, Prevention, Human Genome, Brain Disorders, Clinical Research, Behavioral and Social Science, Genetics, Aetiology, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Mental health, Adolescent, Brain, Child, Child, Preschool, Cognitive Dysfunction, DNA-Binding Proteins, Genome-Wide Association Study, Humans, Infant, Extremely Premature, Infant, Newborn, Muscle Proteins, Prospective Studies, TEA Domain Transcription Factors, Transcription Factors, Young Adult, Cognitive impairment, Neurodevelopment, Preterm children, Genome-wide association study, Latent profile analysis, Genetic mechanisms, Psychology
Abstract

BackgroundAlthough survival rates for infants born extremely preterm (gestation

Published
2022

18. Neonatal Morbidities, Neurodevelopmental Impairments, and Positive Health among Children Surviving Birth before 32 Weeks of Gestation

Author

Teitelbaum, S.L., Stroustrup, A., Merhar, S., Lampland, A., Reynolds, A., Pryhuber, G., Moore, P., Washburn, L., Carter, B., Pastyrnak, S., Neal, C., Smith, L., Helderman, J., Vaidya, R., Obeid, R., Rollins, C., Bear, K., Lenski, M., Singh, R., Msall, M., Frazier, J., Gogcu, S., Montgomery, A., Kuban, K., Douglass, L., Jara, H., Joseph, R., Logan, J. Wells, Tang, Xiaodan, Greenberg, Rachel G., Smith, Brian, Jacobson, Lisa, Blackwell, Courtney K., Hudak, Mark, Aschner, Judy L., Lester, Barry, and O'Shea, T. Michael

Published
2025
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19. Association of Growth During Infancy with Neurodevelopment and Obesity in Children Born Very Preterm: The Environmental Influences on Child Health Outcomes Cohort

Author

Smith, P.B., Hopkins, Johns, Jacobson, L.P., Catellier, D.J., Gershon, R., Cella, D., Parsons, P., Kurunthachalam, K., Fennell, T.R., Sumner, S.J., Du, X., O'Brien, B., Arora, M., Teitelbaum, S.L., Wright, R.O., Stapleton, H.M., Ferguson, P.L., Lee, J.Y., Snowden, J., Merhar, S., Lampland, A., Reynolds, A., Moore, P., Washburn, L., Carter, B., Pastyrnak, S., Neal, C., Smith, L., Helderman, J., Vaidya, R., Obeid, R., Rollins, C., Bear, K., Lenski, M., Singh, R., Msall, M., Frazier, J., Gogcu, S., Montgomery, A., Kuban, K., Douglass, L., Jara, H., Joseph, R., O'Shea, T. Michael, Jensen, Elizabeth T., Yi, Joe X., Lester, Barry, Aschner, Judy L., Stroustrup, Annemarie, Zhang, Xueying, McGrath, Monica, Sanderson, Keia, Joseph, Robert M., Singh, Rachana, Thompson, Amanda L., Hofheimer, Julie, Vohr, Betty, McGowan, Elisabeth, Santos, Hudson, and Fry, Rebecca C.

Published
2024
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20. Cerebral Palsy and Motor Impairment After Extreme Prematurity: Prediction of Diagnoses at Ages 2 and 10 Years

Author

Rollins, Julie V., Shah, Bhavesh, Van Marter, Linda, Martin, Camilla, Ware, Janice, Rollins, Caitlin, Cole, Cynthia, Perrin, Ellen, Sakai, Christina, Bednarek, Frank, Ehrenkranz, Richard, Benjamin, Jennifer, Montgomery, Angela, O'Shea, T. Michael, Washburn, Lisa, Bose, Carl, Warner, Diane, Engelke, Steve, Higginson, Amanda, Higginson, Jason, Bear, Kelly, Poortenga, Mariel, Pastyrnak, Steve, Karna, Padu, Paneth, Nigel, Lenski, Madeleine, Schreiber, Michael, Hunter, Scott, Klein, Deborah, Pimental, Maureen, Hallisey, Collen, Coster, Taryn, Dolins, Maddie, Mittleman, Maggie, Haile, Hannah, Rohde, Julia, Pujols, Kaysi Herrera, Nylen, Ellen, Neger, Emily, Mattern, Kathryn, Ma, Catherine, Toner, Deanna, Vitaro, Elizabeth, Venuti, Lauren, Powers, Beth, Foley, Ann, EdM, Merk, Taylor, Williams, Joanne, Romano, Elaine, Henry, Christine, Hiatt, Debbie, Peters, Nancy, Brown, Patricia, Ansusinha, Emily, James, Jazmyne, Yang, Nou, Bose, Gennie, Wereszczak, Janice, Bernhardt, Janice, Adams, Joan, Wilson, Donna, Darden-Saad, Nancy, Williams, Bree, Jones, Emily, Morris, Hannah, Sutton, Dinah, Rathbun, Julie, Fagerman, Stephanie, Boshoven, William, Johnson, Jalen, James, Brandon, Gile, Cynthia, Miras, Karen, Solomon, Carolyn, Weiland, Deborah, Ramoskaite, Rugile, Wiggins, Suzanne, Washington, Krissy, Martin, Ryan, Prendergast, Barbara, Lynch, Emma, Hajdarovic, Sabina, Kring, Beth, Smith, Anne, McQuiston, Susan, Butler, Samantha, Wilson, Rachel, McGhee, Kirsten, Lee, Patricia, Asgarian, Aimee, Sadhwani, Anjali, Henson, Brandi, Keller, Cecelia, Walkowiak, Jenifer, Barron, Susan, Miller, Alice, Dessureau, Brian, Wood, Molly, Damon-Minow, Jill, Mayes, Linda, Tsatsanis, Kathy, Chawarska, Katarzyna, Kim, Sophy, Dieterich, Susan, Bearrs, Karen, Waldrep, Ellen, Friedman, Jackie, Hounshell, Gail, Allred, Debbie, Helms, Rebecca, Whitley, Lynn, Stainback, Gary, Bostic, Lisa, Jacobson, Amanda, McKeeman, Joni, Meyer, Echo, Price, Joan, Lloyd, EdS; Megan, Plesha-Troyke, Susan, Scott, Megan, Solomon, Katherine M., Brooklier, Kara, Vogt, Kelly, Marinelli, Timothy, Yi, Joe X., O'Shea, T.Michael, Joseph, Robert M., Hooper, Stephen R., Kuban, Karl C.K., Msall, Michael E., Fry, Rebecca, and Singh, Rachana

Published
2024
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22. Associations between neighborhood characteristics and child well-being before and during the COVID-19 pandemic: A repeated cross-sectional study in the Environmental influences on Child Health Outcomes (ECHO) program

Author

Zhang, Xueying, Blackwell, Courtney K., Moore, Janet, Liu, Shelley H., Liu, Chang, Forrest, Christopher B., Ganiban, Jody, Stroustrup, Annemarie, Aschner, Judy L., Trasande, Leonardo, Deoni, Sean C.L., Elliott, Amy J., Angal, Jyoti, Karr, Catherine J., Lester, Barry M., McEvoy, Cindy T., O'Shea, T. Michael, Fry, Rebecca C., Shipp, Gayle M., Gern, James E., Herbstman, Julie, Carroll, Kecia N., Teitelbaum, Susan L., Wright, Robert O., and Wright, Rosalind J.

Published
2024
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24. Maternal tobacco smoking and offspring autism spectrum disorder or traits in ECHO cohorts

Author

Hertz‐Picciotto, Irva, Korrick, Susan A, Ladd‐Acosta, Christine, Karagas, Margaret R, Lyall, Kristen, Schmidt, Rebecca J, Dunlop, Anne L, Croen, Lisa A, Dabelea, Dana, Daniels, Julie L, Duarte, Cristiane S, Fallin, M Daniele, Karr, Catherine J, Lester, Barry, Leve, Leslie D, Li, Yijun, McGrath, Monica, Ning, Xuejuan, Oken, Emily, Sagiv, Sharon K, Sathyanaraya, Sheela, Tylavsky, Frances, Volk, Heather E, Wakschlag, Lauren S, Zhang, Mingyu, O'Shea, T Michael, Musci, Rashelle J, and Outcomes, program collaborators for Environmental influences on Child Health

Subjects
Biomedical and Clinical Sciences, Applied and Developmental Psychology, Clinical and Health Psychology, Neurosciences, Psychology, Behavioral and Social Science, Prevention, Intellectual and Developmental Disabilities (IDD), Autism, Tobacco, Pediatric, Clinical Research, Brain Disorders, Conditions Affecting the Embryonic and Fetal Periods, Tobacco Smoke and Health, Mental Health, Perinatal Period - Conditions Originating in Perinatal Period, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Aetiology, Reproductive health and childbirth, Mental health, Respiratory, Good Health and Well Being, Autism Spectrum Disorder, Autistic Disorder, Child, Female, Humans, Infant, Newborn, Mothers, Odds Ratio, Pregnancy, Prenatal Exposure Delayed Effects, Tobacco Smoking, United States, autism spectrum disorder, children, maternal smoking, prenatal tobacco use, program collaborators for Environmental influences on Child Health Outcomes, Clinical Sciences, Developmental & Child Psychology, Applied and developmental psychology, Clinical and health psychology
Abstract

Given inconsistent evidence on preconception or prenatal tobacco use and offspring autism spectrum disorder (ASD), this study assessed associations of maternal smoking with ASD and ASD-related traits. Among 72 cohorts in the Environmental Influences on Child Health Outcomes consortium, 11 had ASD diagnosis and prenatal tobaccosmoking (n = 8648). and 7 had Social Responsiveness Scale (SRS) scores of ASD traits (n = 2399). Cohorts had diagnoses alone (6), traits alone (2), or both (5). Diagnoses drew from parent/caregiver report, review of records, or standardized instruments. Regression models estimated smoking-related odds ratios (ORs) for diagnoses and standardized mean differences for SRS scores. Cohort-specific ORs were meta-analyzed. Overall, maternal smoking was unassociated with child ASD (adjusted OR, 1.08; 95% confidence interval [CI], 0.72-1.61). However, heterogeneity across studies was strong: preterm cohorts showed reduced ASD risk for exposed children. After excluding preterm cohorts (biased by restrictions on causal intermediate and exposure opportunity) and small cohorts (very few ASD cases in either smoking category), the adjusted OR for ASD from maternal smoking was 1.44 (95% CI, 1.02-2.03). Children of smoking (versus non-smoking) mothers had more ASD traits (SRS T-score + 2.37 points, 95% CI, 0.73-4.01 points), with results homogeneous across cohorts. Maternal preconception/prenatal smoking was consistently associated with quantitative ASD traits and modestly associated with ASD diagnosis among sufficiently powered United States cohorts of non-preterm children. Limitations resulting from self-reported smoking and unmeasured confounders preclude definitive conclusions. Nevertheless, counseling on potential and known risks to the child from maternal smoking is warranted for pregnant women and pregnancy planners. LAY SUMMARY: Evidence on the association between maternal prenatal smoking and the child's risk for autism spectrum disorder has been conflicting, with some studies reporting harmful effects, and others finding reduced risks. Our analysis of children in the ECHO consortium found that maternal prenatal tobacco smoking is consistently associated with an increase in autism-related symptoms in the general population and modestly associated with elevated risk for a diagnosis of autism spectrum disorder when looking at a combined analysis from multiple studies that each included both pre- and full-term births. However, this study is not proof of a causal connection. Future studies to clarify the role of smoking in autism-like behaviors or autism diagnoses should collect more reliable data on smoking and measure other exposures or lifestyle factors that might have confounded our results.

Published
2022

25. A Comparative Analysis of the Full and Short Versions of the Social Responsiveness Scale in Estimating an Established Autism Risk Factor Association in ECHO: Do we Get the Same Estimates?

Author

Patti, Marisa A., Ning, Xuejuan, Hosseini, Mina, Croen, Lisa A., Joseph, Robert M., Karagas, Margaret R., Ladd-Acosta, Christine, Landa, Rebecca, Messinger, Daniel S., Newschaffer, Craig J., Nguyen, Ruby, Ozonoff, Sally, O’Shea, T. Michael, Schmidt, Rebecca J., Trevino, Cindy O., and Lyall, Kristen

Published
2023
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27. The Role of Childhood Asthma in Obesity Development

Author

Stratakis, Nikos, Garcia, Erika, Chandran, Aruna, Hsu, Tingju, Alshawabkeh, Akram, Aris, Izzuddin M, Aschner, Judy L, Breton, Carrie, Burbank, Allison, Camargo, Carlos A, Carroll, Kecia N, Chen, Zhanghua, Claud, Erika C, Dabelea, Dana, Dunlop, Anne L, Elliott, Amy J, Ferrara, Assiamira, Ganiban, Jody M, Gern, James E, Gold, Diane R, Gower, William A, Hertz-Picciotto, Irva, Karagas, Margaret R, Karr, Catherine J, Lester, Barry, Leve, Leslie D, Litonjua, Augusto A, Ludena, Yunin, McEvoy, Cindy T, Miller, Rachel L, Mueller, Noel T, O’Connor, Thomas G, Oken, Emily, O’Shea, T Michael, Perera, Frederica, Stanford, Joseph B, Rivera-Spoljaric, Katherine, Rundle, Andrew, Trasande, Leonardo, Wright, Rosalind J, Zhang, Yue, Zhu, Yeyi, Berhane, Kiros, Gilliland, Frank, and Chatzi, Lida

Subjects
Epidemiology, Public Health, Health Sciences, Pediatric, Asthma, Nutrition, Prevention, Clinical Research, Obesity, Pediatric Research Initiative, Lung, Aetiology, 2.4 Surveillance and distribution, 2.1 Biological and endogenous factors, Respiratory, Metabolic and endocrine, Adolescent, Body Mass Index, Child, Female, Humans, Incidence, Male, Pediatric Obesity, Proportional Hazards Models, Risk Factors, asthma, obesity, childhood, asthma medication, ECHO, on behalf of program collaborators for Environmental Influences on Child Health Outcomes, Statistics, Public Health and Health Services, Public health
Abstract

RationaleAsthma and obesity often co-occur. It has been hypothesized that asthma may contribute to childhood obesity onset.ObjectivesTo determine if childhood asthma is associated with incident obesity and examine the role of asthma medication in this association.MethodsWe studied 8,716 children between ages 6 and 18.5 years who were nonobese at study entry participating in 18 US cohorts of the Environmental influences on Child Health Outcomes program (among 7,299 children with complete covariate data mean [SD] study entry age = 7.2 [1.6] years and follow up = 5.3 [3.1] years).Measurements and main resultsWe defined asthma based on caregiver report of provider diagnosis. Incident obesity was defined as the first documented body mass index ≥95th percentile for age and sex following asthma status ascertainment. Over the study period, 26% of children had an asthma diagnosis and 11% developed obesity. Cox proportional hazards models with sex-specific baseline hazards were fitted to assess the association of asthma diagnosis with obesity incidence. Children with asthma had a 23% (95% confidence intervals [CI] = 4, 44) higher risk for subsequently developing obesity compared with those without asthma. A novel mediation analysis was also conducted to decompose the total asthma effect on obesity into pathways mediated and not mediated by asthma medication use. Use of asthma medication attenuated the total estimated effect of asthma on obesity by 64% (excess hazard ratios = 0.64; 95% CI = -1.05, -0.23).ConclusionsThis nationwide study supports the hypothesis that childhood asthma is associated with later risk of obesity. Asthma medication may reduce this association and merits further investigation as a potential strategy for obesity prevention among children with asthma.

Published
2022

28. Placental genomics mediates genetic associations with complex health traits and disease

Author

Bhattacharya, Arjun, Freedman, Anastasia N, Avula, Vennela, Harris, Rebeca, Liu, Weifang, Pan, Calvin, Lusis, Aldons J, Joseph, Robert M, Smeester, Lisa, Hartwell, Hadley J, Kuban, Karl CK, Marsit, Carmen J, Li, Yun, O’Shea, T Michael, Fry, Rebecca C, and Santos, Hudson P

Subjects
Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Perinatal Period - Conditions Originating in Perinatal Period, Human Genome, Prevention, Pediatric, Biotechnology, Pediatric Research Initiative, Aetiology, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Adaptor Proteins, Signal Transducing, Animals, Disease, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Guanine Nucleotide Exchange Factors, Humans, Infant, Newborn, Mice, Multifactorial Inheritance, Placenta, Pregnancy, Quantitative Trait Loci, RNA-Seq, Transcriptome
Abstract

As the master regulator in utero, the placenta is core to the Developmental Origins of Health and Disease (DOHaD) hypothesis but is historically understudied. To identify placental gene-trait associations (GTAs) across the life course, we perform distal mediator-enriched transcriptome-wide association studies (TWAS) for 40 traits, integrating placental multi-omics from the Extremely Low Gestational Age Newborn Study. At [Formula: see text], we detect 248 GTAs, mostly for neonatal and metabolic traits, across 176 genes, enriched for cell growth and immunological pathways. In aggregate, genetic effects mediated by placental expression significantly explain 4 early-life traits but no later-in-life traits. 89 GTAs show significant mediation through distal genetic variants, identifying hypotheses for distal regulation of GTAs. Investigation of one hypothesis in human placenta-derived choriocarcinoma cells reveal that knockdown of mediator gene EPS15 upregulates predicted targets SPATA13 and FAM214A, both associated with waist-hip ratio in TWAS, and multiple genes involved in metabolic pathways. These results suggest profound health impacts of placental genomic regulation in developmental programming across the life course.

Published
2022

30. CpG methylation patterns in placenta and neonatal blood are differentially associated with neonatal inflammation

Author

Eaves, Lauren A., Enggasser, Adam E., Camerota, Marie, Gogcu, Semsa, Gower, William A., Hartwell, Hadley, Jackson, Wesley M., Jensen, Elizabeth, Joseph, Robert M., Marsit, Carmen J., Roell, Kyle, Santos Jr., Hudson P., Shenberger, Jeffrey S., Smeester, Lisa, Yanni, Diana, Kuban, Karl C. K., O’Shea, T. Michael, and Fry, Rebecca C.

Published
2023
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31. Perinatal Factors and Emotional, Cognitive, and Behavioral Dysregulation in Childhood and Adolescence

Author

Frazier, Jean A., Li, Xiuhong, Kong, Xiangrong, Hooper, Stephen R., Joseph, Robert M., Cochran, David M., Kim, Sohye, Fry, Rebecca C., Brennan, Patricia A., Msall, Michael E., Fichorova, Raina N., Hertz-Picciotto, Irva, Daniels, Julie L., Lai, Jin-Shei, Boles, Richard E., Zvara, Bharathi J., Jalnapurkar, Isha, Schweitzer, Julie B., Singh, Rachana, Posner, Jonathan, Bennett, Deborah H., Kuban, Karl C.K., and O’Shea, T. Michael

Published
2023
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32. Opportunities for Examining Child Health Impacts of Early-Life Nutrition in the ECHO Program: Maternal and Child Dietary Intake Data from Pregnancy to Adolescence

Author

Bragg, Megan G., Westlake, Matt, Alshawabkeh, Akram N., Bekelman, Traci A., Camargo, Carlos A., Jr., Catellier, Diane J., Comstock, Sarah S., Dabelea, Dana, Dunlop, Anne L., Hedderson, Monique M., Hockett, Christine W., Karagas, Margaret R., Keenan, Kate, Kelly, Nichole R., Kerver, Jean M., MacKenzie, Debra, Mahabir, Somdat, Maldonado, Luis E., McCormack, Lacey A., Melough, Melissa M., Mueller, Noel T., Nelson, Morgan E., O’Connor, Thomas G., Oken, Emily, O’Shea, T Michael, Switkowski, Karen M., Sauder, Katherine A., Wright, Rosalind J., Wright, Robert O., Zhang, Xueying, Zhu, Yeyi, and Lyall, Kristen

Published
2023
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35. Evidence for the placenta-brain axis: multi-omic kernel aggregation predicts intellectual and social impairment in children born extremely preterm

Author

Santos Jr, Hudson P, Bhattacharya, Arjun, Joseph, Robert M, Smeester, Lisa, Kuban, Karl CK, Marsit, Carmen J, O’Shea, T Michael, and Fry, Rebecca C

Subjects
Preterm, Low Birth Weight and Health of the Newborn, Genetics, Perinatal Period - Conditions Originating in Perinatal Period, Intellectual and Developmental Disabilities (IDD), Human Genome, Neurosciences, Mental Health, Biotechnology, Clinical Research, Brain Disorders, Infant Mortality, Pediatric, Autism, Behavioral and Social Science, Prevention, Aetiology, 2.1 Biological and endogenous factors, Reproductive health and childbirth, Mental health, Adult, Algorithms, Biomarkers, Brain, Case-Control Studies, Child, Cognition, CpG Islands, Female, Genome-Wide Association Study, Genomics, Humans, Infant, Extremely Premature, Infant, Newborn, Intellectual Disability, Intelligence Tests, Male, MicroRNAs, Multivariate Analysis, Placenta, Pregnancy, Premature Birth, RNA, Messenger, Social Behavior, Prenatal neurodevelopmental programming, Social and cognitive impairment, Placental gene regulation, Epigenome-wide association, Differential expression analysis, Multi-omic aggregation, Clinical Sciences
Abstract

BackgroundChildren born extremely preterm are at heightened risk for intellectual and social impairment, including Autism Spectrum Disorder (ASD). There is increasing evidence for a key role of the placenta in prenatal developmental programming, suggesting that the placenta may, in part, contribute to origins of neurodevelopmental outcomes.MethodsWe examined associations between placental transcriptomic and epigenomic profiles and assessed their ability to predict intellectual and social impairment at age 10 years in 379 children from the Extremely Low Gestational Age Newborn (ELGAN) cohort. Assessment of intellectual ability (IQ) and social function was completed with the Differential Ability Scales-II and Social Responsiveness Scale (SRS), respectively. Examining IQ and SRS allows for studying ASD risk beyond the diagnostic criteria, as IQ and SRS are continuous measures strongly correlated with ASD. Genome-wide mRNA, CpG methylation and miRNA were assayeds with the Illumina Hiseq 2500, HTG EdgeSeq miRNA Whole Transcriptome Assay, and Illumina EPIC/850 K array, respectively. We conducted genome-wide differential analyses of placental mRNA, miRNA, and CpG methylation data. These molecular features were then integrated for a predictive analysis of IQ and SRS outcomes using kernel aggregation regression. We lastly examined associations between ASD and the multi-omic-predicted component of IQ and SRS.ResultsGenes with important roles in neurodevelopment and placental tissue organization were associated with intellectual and social impairment. Kernel aggregations of placental multi-omics strongly predicted intellectual and social function, explaining approximately 8% and 12% of variance in SRS and IQ scores via cross-validation, respectively. Predicted in-sample SRS and IQ showed significant positive and negative associations with ASD case-control status.LimitationsThe ELGAN cohort comprises children born pre-term, and generalization may be affected by unmeasured confounders associated with low gestational age. We conducted external validation of predictive models, though the sample size (N = 49) and the scope of the available out-sample placental dataset are limited. Further validation of the models is merited.ConclusionsAggregating information from biomarkers within and among molecular data types improves prediction of complex traits like social and intellectual ability in children born extremely preterm, suggesting that traits within the placenta-brain axis may be omnigenic.

Published
2020

36. Early-Life Outcomes in Relation to Social Determinants of Health for Children Born Extremely Preterm

Author

Jobe, Alan H., Caplan, Michael S., Polin, Richard A., Laptook, Abbot R., Keszler, Martin, Hensman, Angelita M., Alksninis, Barbara, Bishop, Carmena, Burke, Robert T., Caskey, Melinda, Hoffman, Laurie, Johnson, Katharine, Keszler, Mary Lenore, Knoll, Andrea M., Lamberson, Vita, Leach, Teresa M., Little, Emilee, McGowan, Elisabeth C., Stephens, Bonnie E., Vieira, Elisa, St. Pierre, Lucille, Ventura, Suzy, Watson, Victoria E., Hibbs, Anna Maria, Walsh, Michele C., Wilson-Costello, Deanne E., Newman, Nancy S., Bhola, Monika, Payne, Allison H., Siner, Bonnie S., Yalcinkaya, Gulgun, Truog, William E., Pallotto, Eugenia K., Kilbride, Howard W., Gauldin, Cheri, Holmes, Anne, Johnson, Kathy, Scott, Allison, Parimi, Prabhu S., Gaetano, Lisa, Poindexter, Brenda B., Schibler, Kurt, Kallapur, Suhas G., Donovan, Edward F., Merhar, Stephanie, Grisby, Cathy, Yolton, Kimberly, Alexander, Barbara, Beiersdorfer, Traci, Bridges, Kate, Cahill, Tanya E., Dudley, Juanita, Fischer, Estelle E., Gratton, Teresa L., Hayes, Devan, Hessling, Jody, Jackson, Lenora D., Kirker, Kristin, Mincey, Holly L., Muthig, Greg, Stacey, Sara, Steichen, Jean J., Tepe, Stacey, Thompson, Julia, Wuertz, Sandra, Cotten, C. Michael, Goldberg, Ronald N., Goldstein, Ricki F., Malcolm, William F., Mago-Shah, Deesha, Ashley, Patricia L., Finkle, Joanne, Auten, Kathy J., Fisher, Kimberley A., Grimes, Sandra, Gustafson, Kathryn E., Lohmeyer, Melody B., Laughon, Matthew M., Bose, Carl L., Bernhardt, Janice, Bose, Gennie, Clark, Cindy, Talbert, Jennifer, Warner, Diane, Trembath, Andrea, O'Shea, T. Michael, Wereszczak, Janice, Kicklighter, Stephen D., Rhodes-Ryan, Ginger, White, Donna, Patel, Ravi M., Carlton, David P., Stoll, Barbara J., Hale, Ellen C., Loggins, Yvonne C., Adams-Chapman, Ira, Blackwelder, Ann, Bottcher, Diane I., Carter, Sheena L., Kendrick-Allwood, Salathiel, Laursen, Judith, LaRossa, Maureen Mulligan, Mackie, Colleen, Sanders, Amy, Seabrook, Irma, Smikle, Gloria, Wineski, Lynn C., Higgins, Rosemary D., Bremer, Andrew A., Archer, Stephanie Wilson, Sokol, Gregory M., Dusick, Anna M., Papile, Lu Ann, Gunn, Susan, Hamer, Faithe, Harmon, Heidi M., Herron, Dianne E., Hines, Abbey C., Lytle, Carolyn, Miller, Lucy C., Minnich, Heike M., Richard, Leslie, Smiley, Lucy, Wilson, Leslie Dawn, Tyson, Jon E., Kennedy, Kathleen A., Khan, Amir M., Duncan, Andrea, Mosquera, Ricardo, Stephens, Emily K., McDavid, Georgia E., Alaniz, Nora I., Allain, Elizabeth, Arldt-McAlister, Julie, Burson, Katrina, Dempsey, Allison G., Eason, Elizabeth, Evans, Patricia W., Garcia, Carmen, Green, Charles, Hall, Donna, Harris, Beverly Foley, Jiminez, Margarita, John, Janice, Jones, Patrick M., Lillie, M. Layne, Lis, Anna E., Martin, Karen, Martin, Sara C., Mason, Carrie M., McKee, Shannon, Morris, Brenda H., Rennie, Kimberly, Rodgers, Shawna, Siddiki, Saba Khan, Simmons, Maegan C., Sperry, Daniel, Pierce Tate, Patti L., Wright, Sharon L., Sánchez, Pablo J., Nelin, Leif D., Jadcherla, Sudarshan R., Slaughter, Jonathan L., Yeates, Keith O., Keim, Sarah, Maitre, Nathalie L., Timan, Christopher J., Luzader, Patricia, Clark, Erna, Fortney, Christine A., Gutentag, Julie, Park, Courtney, Shadd, Julie, Sullivan, Margaret, Stein, Melanie, Nelin, Mary Ann, Newton, Julia, Small, Kristi, Burkhardt, Stephanie, Purnell, Jessica, Pietruszewski, Lindsay, Levengood, Katelyn, Batterson, Nancy, Morehead, Pamela, Carey, Helen, Yoseff-Salameh, Lina, Sullivan, Rox Ann, Hague, Cole, Grothause, Jennifer, Fearns, Erin, Fowler, Aubrey, Notestine, Jennifer, Tonneman, Jill, Hay, Krystal, Chao, Michelle, Warnimont, Kyrstin, Marzec, Laura, Miller, Bethany, Beckford, Demi R., Baugher, Hallie, DeSantis, Brittany, Hanlon, Cory, McCool, Jacqueline, Das, Abhik, Gantz, Marie G., Bann, Carla M., Wallace, Dennis, Crawford, Margaret M., Gabrio, Jenna, Leblond, David, Newman, Jamie E., Petrie Huitema, Carolyn M., O'Donnell Auman, Jeanette, Poole, W. Kenneth, Zaterka-Baxter, Kristin M., Van Meurs, Krisa P., Chock, Valerie Y., Stevenson, David K., Adams, Marian M., Ball, M. Bethany, Bentley, Barbara, Bruno, Elizabeth, Davis, Alexis S., Elena DeAnda, Maria, DeBattista, Anne M., Huffman, Lynne C., Ismael, Magdy, Kohn, Jean G., Krueger, Casey, Lowe, Janice, Lucash, Ryan E., Palmquist, Andrew W., Patel, Jessica, Proud, Melinda S., Reichert, Elizabeth N., John, Nicholas H. St., Sivakumar, Dharshi, Taylor, Heather L., Wager, Natalie, Williams, R. Jordan, Weiss, Hali, Frantz, Ivan D., III, Fiascone, John M., MacKinnon, Brenda L., Furey, Anne, Nylen, Ellen, Church, Paige T., Sibley, Cecelia E., Brussa, Ana K., Carlo, Waldemar A., Ambalavanan, Namasivayam, Peralta-Carcelen, Myriam, Nelson, Kathleen G., Bailey, Kirstin J., Biasini, Fred J., Chopko, Stephanie A., Collins, Monica V., Cosby, Shirley S., Johnston, Kristen C., Moses, Mary Beth, Patterson, Cryshelle S., Phillips, Vivien A., Preskitt, Julie, Rector, Richard V., Whitley, Sally, Devaskar, Uday, Garg, Meena, Purdy, Isabell B., Chanlaw, Teresa, Geller, Rachel, Finer, Neil N., Vaucher, Yvonne E., Kaegi, David, Rasmussen, Maynard R., Arnell, Kathy, Demetrio, Clarence, Fuller, Martha G., Rich, Wade, Bell, Edward F., Colaizy, Tarah T., Widness, John A., Brumbaugh, Jane E., Acarregui, Michael J., Johnson, Karen J., Eastman, Diane L., Goeke, Claire A., Schmelzel, Mendi L., Walker, Jacky R., Baack, Michelle L., Hogden, Laurie A., Broadbent, Megan, Elenkiwich, Chelsey, Henning, Megan M., Van Muyden, Sarah, Ellsbury, Dan L., Campbell, Donia B., Tud, Tracy L., Duara, Shahnaz, Bauer, Charles R., Everett-Thomas, Ruth, Fajardo-Hiriart, Sylvia, Rigaud, Arielle, Calejo, Maria, Frade Eguaras, Silvia M., Berkowits, Michelle Harwood, Garcia, Andrea, Pierre, Helina, Stoerger, Alexandra, Watterberg, Kristi L., Fuller, Janell, Ohls, Robin K., Beauman, Sandra Sundquist, Lacy, Conra Backstrom, Duncan, Andrea F., Hanson, Mary, Hartenberger, Carol, Kuan, Elizabeth, Lowe, Jean R., Thomson, Rebecca A., DeMauro, Sara B., Eichenwald, Eric C., Schmidt, Barbara, Kirpalani, Haresh, Chaudhary, Aasma S., Abbasi, Soraya, Mancini, Toni, Catts, Christine, Cook, Noah, Cucinotta, Dara M., Bernbaum, Judy C., Gerdes, Marsha, Ghavam, Sarvin, Hurt, Hallam, Snyder, Jonathan, Vangala, Saritha, Ziolkowski, Kristina, D'Angio, Carl T., Phelps, Dale L., Guillet, Ronnie, Myers, Gary J., Andrews-Hartley, Michelle, Johnson, Julie Babish, Binion, Kyle, Bowman, Melissa, Boylin, Elizabeth, Burnell, Erica, Coleman, Kelly R., Fallone, Cait, Farooq, Osman, Hunn, Julianne, Hust, Diane, Jensen, Rosemary L., Jones, Rachel, Kachelmeyer, Jennifer, Kushner, Emily, Maffett, Deanna, McKee, Kimberly G., Merzbach, Joan, Orme, Constance, Prinzing, Diane, Reubens, Linda J., Rochez, Daisy, Rowan, Mary, Sabaratnam, Premini, Scorsone, Ann Marie, Wadkins, Holly I.M., Yost, Kelley, Zwetsch, Lauren, Lakshminrusimha, Satyan, Reynolds, Anne Marie, Sacilowski, Michael G., Guilford, Stephanie, Li, Emily, Williams, Ashley, Zorn, William A., Wyckoff, Myra H., Brion, Luc P., Salhab, Walid A., Rosenfeld, Charles R., Heyne, Roy J., Vasil, Diana M., Adams, Sally S., Chen, Lijun, De Leon, Maria M., Eubanks, Francis, Guzman, Alicia, Hensley, Gaynelle, Heyne, Elizabeth T., Lee, Lizette E., Leps, Melissa H., Madden, Linda A., McDougald, E. Rebecca, Miller, Nancy A., Morgan, Janet S., Pavageau, Lara, Sepulveda, Pollieanna, Tolentino-Plata, Kristine, Boatman, Cathy Twell, Vera, Azucena, Waterbury, Jillian, Yoder, Bradley A., Baserga, Mariana, Faix, Roger G., Winter, Sarah, Minton, Stephen D., Sheffield, Mark J., Rau, Carrie A., Baker, Shawna, Bird, Karie, Burnett, Jill, Christensen, Susan, Cole-Bledsoe, Laura, Davis, Brandy, Elmont, Jennifer O., Jensen, Jennifer J., Loertscher, Manndi C., Jordan, Jamie, Marchant, Trisha, Maxson, Earl, McGrath, Kandace M., Osborne, Karen A., Parry, D. Melody, Reich, Brixen A., Schaefer, Susan T., Spencer, Cynthia, Steffen, Michael, Tice, Katherine, Weaver-Lewis, Kimberlee, Woodbury, Kathryn D., Zanetti, Karen, Dillard, Robert G., Washburn, Lisa K., Jackson, Barbara G., Peters, Nancy, Chiu, Korinne, Allred, Deborah Evans, Goldstein, Donald J., Halfond, Raquel, Peterson, Carroll, Waldrep, Ellen L., Welch, Cherrie D., Morris, Melissa Whalen, Hounshell, Gail Wiley, Shankaran, Seetha, Sood, Beena G., Natarajan, Girija, Pappas, Athina, Abramczyk, Katherine, Agarwal, Prashant, Bajaj, Monika, Bara, Rebecca, Billian, Elizabeth, Chawla, Sanjay, Childs, Kirsten, De Jesus, Lilia C., Driscoll, Debra, February, Melissa, Goldston, Laura A., Johnson, Mary E., Muran, Geraldine, Panaitescu, Bogdan, Prentiss, Jeannette E., White, Diane, Woldt, Eunice, Barks, John, Wiggins, Stephanie A., Christensen, Mary K., Carlson, Martha D., Ehrenkranz, Richard A., Jacobs, Harris, Butler, Christine G., Cervone, Patricia, Greisman, Sheila, Konstantino, Monica, Poulsen, JoAnn, Taft, Janet, Williams, Joanne, Romano, Elaine, Vohr, Betty R., Travers, Colm P., and Hintz, Susan R.

Published
2023
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37. Family Environment, Neurodevelopmental Risk, and the Environmental Influences on Child Health Outcomes (ECHO) Initiative: Looking Back and Moving Forward

Author

Bush, Nicole R, Wakschlag, Lauren S, LeWinn, Kaja Z, Hertz-Picciotto, Irva, Nozadi, Sara S, Pieper, Sarah, Lewis, Johnnye, Biezonski, Dominik, Blair, Clancy, Deardorff, Julianna, Neiderhiser, Jenae M, Leve, Leslie D, Elliott, Amy J, Duarte, Cristiane S, Lugo-Candelas, Claudia, O’Shea, T Michael, Avalos, Lyndsay A, Page, Grier P, and Posner, Jonathan

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Prevention, Mental Health, Women's Health, Pediatric, Behavioral and Social Science, 2.3 Psychological, social and economic factors, 2.1 Biological and endogenous factors, Mental health, Good Health and Well Being, neurodevelopment, family, home, parenting, fetal programming, Public Health and Health Services, Psychology, Clinical sciences
Abstract

The family environment, with all its complexity and diverse components, plays a critical role in shaping neurodevelopmental outcomes in children. Herein we review several domains of the family environment (family socioeconomic status, family composition and home environment, parenting behaviors and interaction styles, parental mental health and functioning, and parental substance use) and discuss how these domains influence neurodevelopment, with particular emphasis on mental health outcomes. We also highlight a new initiative launched by the National Institutes of Health, the Environmental influences on Child Health Outcomes (ECHO) program. We discuss the role that ECHO will play in advancing our understanding of the impact of the family environment on children's risk for psychiatric outcomes. Lastly, we conclude with important unanswered questions and controversies in this area of research, highlighting how ECHO will contribute to resolving these gaps in our understanding, clarifying relationships between the family environment and children's mental health.

Published
2020

38. Psychiatric Outcomes, Functioning, and Participation in Extremely Low Gestational Age Newborns at Age 15 Years

Author

Frazier, Jean A., Cochran, David, Kim, Sohye, Jalnapurkar, Isha, Joseph, Robert M., Hooper, Stephen R., Santos, Hudson P., Jr., Ru, Hongyu, Venuti, Lauren, Singh, Rachana, Washburn, Lisa K., Gogcu, Semsa, Msall, Michael E., Kuban, Karl C.K., Rollins, Julie V., Hanson, Shannon G., Jara, Hernan, Pastyrnak, Steven L., Roell, Kyle R., Fry, Rebecca C., and O’Shea, T. Michael

Published
2022
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45. Maternal Black Race and Persistent Wheezing Illness in Former Extremely Low Gestational Age Newborns: Secondary Analysis of a Randomized Trial

Author

Wai, Katherine C, Hibbs, Anna M, Steurer, Martina A, Black, Dennis M, Asselin, Jeanette M, Eichenwald, Eric C, Ballard, Philip L, Ballard, Roberta A, Keller, Roberta L, Group, Trial of Late Surfactant Study, Strong, Suzanne Hamilton, Immamura-Ching, Jill, Orfanos-Villalobos, Margaret, Williams, Cassandra, Durand, David J, Merrill, Jeffrey D, Horton, Dolia, Pacello, Loretta, Willard, April, Truog, William E, Gauldin, Cheryl, Holmes, Anne, Johnson, Patrice, Meinert, Kerrie, Reynolds, Anne Marie, Lucie, Janine, Conway, Patrick, Sacilowski, Michael, Leadersdorff, Michael, Orbank, Pam, Wynn, Karen, Steinhorn, Robin H, deUngria, Maria, Khan, Janine Yasmin, Hamann, Karin, Schau, Molly, Hopkins, Brad, Jenson, James, Garcia, Carmen, Parekh, Aruna, Shariff, Jila, McGovern, Rose, Adelman, Jeff, Combs, Adrienne, Tjersland, Mary, Mayock, Dennis E, Howland, Elizabeth, Walker, Susan, Longoria, Jim, Meo, Holly, Khan, Amir, McDavid, Georgia, Burson, Katrina, Hinojosa, Richard, Johnson, Christopher, Martin, Karen, Martin, Sarah, Rogers, Shawna, Wright, Sharon, Hudak, Mark L, Barnette, Kimberly, Kellum, Amanda, Burcke, Michelle, Hayes, Christie, Chadwick, Stephanie, Howard, Danielle, Kennedy, Carla, Prince, Renee, Helderman, Jennifer, O'Shea, T Michael, Stefanescu, Beatrice, Warden, Kelly, Brown, Patty, Griffin, Jennifer, Conley, Laura, Bendel, Catherine M, Georgieff, Michael, Davern, Bridget, Mills, Marla, Ritter, Sharon, Wagner, Carol, Ryan, Rita M, Fanning, Deanna, Roberson, Jimmy, Mammel, Mark C, Lampland, Andrea, Meyers, Pat, Brey, Angela, Bendel-Stenzel, Ellen M, Mulrooney, Neil, Worwa, Cathy, Dixon, Pam, Ebert, Gerald, Hejl, Cathy, Maxwell, Molly, McCullough, Kristin, Dhanireddy, Ramasubbareddy, Abiad, Mohammed T El, Talati, Ajay, and Dempsey, Sheila

Subjects
Paediatrics, Reproductive Medicine, Biomedical and Clinical Sciences, Preterm, Low Birth Weight and Health of the Newborn, Nutrition, Pediatric, Prevention, Clinical Trials and Supportive Activities, Behavioral and Social Science, Minority Health, Perinatal Period - Conditions Originating in Perinatal Period, Lung, Asthma, Clinical Research, Women's Health, Black or African American, Child, Preschool, Female, Humans, Infant, Infant, Extremely Premature, Infant, Newborn, Infant, Premature, Diseases, Male, Mothers, Respiration, Artificial, Respiratory Sounds, Risk Factors, Trial of Late Surfactant (TOLSURF) Study Group, asthma, prematurity, socioeconomic factors, Human Movement and Sports Sciences, Paediatrics and Reproductive Medicine, Pediatrics
Abstract

ObjectiveTo evaluate the relationship between maternal self-reported race/ethnicity and persistent wheezing illness in former high-risk, extremely low gestational age newborns, and to quantify the contribution of socioeconomic, environmental, and biological factors on this relationship.Study designWe assessed persistent wheezing illness determined at 18-24 months corrected (for prematurity) age in survivors of a randomized trial. Parents/caregivers were surveyed for wheeze and inhaled asthma medication use quarterly to 12 months, and at 18 and 24 months. We used multivariable analysis to evaluate the relationship of maternal race to persistent wheezing illness, and identified mediators for this relationship via formal mediation analysis.ResultsOf 420 infants (25.2 ± 1.2 weeks of gestation and 714 ± 166 g at birth, 57% male, 34% maternal black race), 189 (45%) had persistent wheezing illness. After adjustment for gestational age, birth weight, and sex, infants of black mothers had increased odds of persistent wheeze compared with infants of nonblack mothers (OR = 2.9, 95% CI 1.9, 4.5). Only bronchopulmonary dysplasia, breast milk diet, and public insurance status were identified as mediators. In this model, the direct effect of race accounted for 69% of the relationship between maternal race and persistent wheeze, whereas breast milk diet, public insurance status, and bronchopulmonary dysplasia accounted for 8%, 12%, and 10%, respectively.ConclusionsAmong former high-risk extremely low gestational age newborns, infants of black mothers have increased odds of developing persistent wheeze. A substantial proportion of this effect is directly accounted for by race, which may reflect unmeasured environmental influences, and acquired and innate biological differences.Trial registrationClinicalTrials.gov: NCT01022580.

Published
2018

46. Trajectories of attention problems in preschoolers born very preterm

Author

Camerota, Marie, primary, Castellanos, Francisco Xavier, additional, Carter, Brian S., additional, Check, Jennifer, additional, Helderman, Jennifer B., additional, Hofheimer, Julie A, additional, McGowan, Elisabeth C., additional, Neal, Charles R., additional, Pastyrnak, Steven L., additional, Smith, Lynne M., additional, O’Shea, T. Michael, additional, Marsit, Carmen J., additional, and Lester, Barry M., additional

Published
2024
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47. Intrapartum exposure to synthetic oxytocin, maternal BMI, and neurodevelopmental outcomes in children within the ECHO consortium

Author

Kurth, Lisa, primary, O’Shea, T. Michael, additional, Burd, Irina, additional, Dunlop, Anne L., additional, Croen, Lisa, additional, Wilkening, Greta, additional, Hsu, Ting-ju, additional, Ehrhardt, Stephan, additional, Palanisamy, Arvind, additional, McGrath, Monica, additional, Churchill, Marie L., additional, Weinberger, Daniel, additional, Grados, Marco, additional, and Dabelea, Dana, additional

Published
2024
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48. Prediction of internalizing and externalizing symptoms in late childhood from attention-deficit/hyperactivity disorder symptoms in early childhood

Author

Mlodnicka, Agnieszka, primary, Mansolf, Maxwell, additional, Chandran, Aruna, additional, Aris, Izzuddin M., additional, Calub, Catrina A., additional, Ahmad, Shaikh, additional, Shapiro, Allison, additional, Cochran, David, additional, Restrepo, Bibiana, additional, Schmidt, Rebecca, additional, Hertz-Picciotto, Irva, additional, Bennett, Deborah, additional, Gold, Diane R., additional, O’Shea, T. Michael, additional, Leve, Leslie, additional, and Schweitzer, Julie B., additional

Published
2024
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49. Social determinants of health rather than race impact health-related quality of life in 10-year-old children born extremely preterm

Author

Call, Catherine, primary, Oran, Ali, additional, O’Shea, T. Michael, additional, Jensen, Elizabeth T., additional, Frazier, Jean A., additional, Vaidya, Ruben, additional, Shenberger, Jeffrey, additional, Gogcu, Semsa, additional, Msall, Michael E., additional, Kim, Sohye, additional, Jalnapurkar, Isha, additional, Fry, Rebecca C., additional, and Singh, Rachana, additional

Published
2024
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50. Adherence to Car Seat Tolerance Screening Differs by Indication and Patient Characteristics

Author

McLaurin-Jiang, Skyler, Weinberger, Morris, Ritter, Victor, O'Shea, T. Michael, and Flower, Kori B.

Subjects
Bradycardia -- Diagnosis -- Risk factors, Patient compliance -- Demographic aspects -- Analysis, Birth weight, Low -- Health aspects, Infants (Newborn) -- Medical examination, Apnea -- Diagnosis -- Risk factors, Pediatric research, Infants (Premature) -- Medical examination -- Health aspects, Health care industry
Abstract

Objectives To assess whether adherence to institutional car seat tolerance screening (CSTS) guidelines differed for infants born preterm (PTM), term low birth weight (T-LBW), or both preterm and low birth weight (P-LBW), and to examine the association between CSTS adherence and patient characteristics. Study Design Within two large academic and community hospitals, we retrospectively reviewed all infants meeting institutional criteria (< 37 weeks' gestation and/or < 2.27 kg) for CSTS from 2014 to 2018. Multivariable logistic regression evaluated the association of patient characteristics with institutional CSTS guideline adherence. Results 4374 eligible infants were born PTM (50.9%), T-LBW (6.5%), or P-LBW (42.6%). Adherence rates were 92.7% in the neonatal intensive care unit (NICU) and 95.2% in the well-baby nursery with initial CSTS failure rates of 6.1% and 9.9%, respectively. Adherence was lowest among T-LBW (80.7%) compared to PTM (95.1%) or P-LBW (92.2%) infants in the NICU (p < 0.001) and well-baby nursery (81.6%, 96.7% and 97.1%, respectively, p < 0.001). In bivariate analyses, gestational age, birth weight, insurance, race, hospital type, discharge year, and preferred language were associated with adherence. In fully-adjusted models, adherence was positively associated with lower gestational age, higher birth weight, non-Medicaid insurance, and later discharge year (NICU) and lower gestational age and later discharge year (well-baby nursery). Conclusions Adherence was lower for T-LBW than PTM or P-LBW infants, despite similar CSTS failure rates. Disparities in adherence among Medicaid-insured patients in the NICU warrant further study. Future studies are needed to clarify the benefit of CSTS and increase adherence in high-risk populations., Author(s): Skyler McLaurin-Jiang [sup.1] [sup.2] [sup.5] , Morris Weinberger [sup.3] , Victor Ritter [sup.4] , T. Michael O'Shea [sup.1] , Kori B. Flower [sup.1] Author Affiliations: (1) grid.10698.36, 0000000122483208, Department [...]

Published
2021
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