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Craft AL, Camerota M, Loncar C, Carter BS, Check J, Helderman JB, Hofheimer JA, McGowan EC, Neal CR, O'Shea TM, Pastyrnak SL, Smith LM, Dansereau LM, DellaGrotta SA, Marsit C, Lester BM. Neonatal neurobehavior associated with developmental changes from age 2 to 3 in very preterm infants. Early Hum Dev 2024; 194:106039. [PMID: 38759420 DOI: 10.1016/j.earlhumdev.2024.106039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 05/13/2024] [Accepted: 05/13/2024] [Indexed: 05/19/2024]
Abstract
OBJECTIVE Understand how high-risk infants' development changes over time. Examine whether NICU Network Neurobehavioral Scale (NNNS) profiles are associated with decrements in developmental outcomes between ages 2 and 3 years in infants born very preterm. STUDY DESIGN The Neonatal Outcomes for Very preterm Infants (NOVI) cohort is a multisite prospective study of 704 preterm infants born <30 weeks' gestation across nine university and VON affiliated NICUs. Data included infant neurobehavior measured by NNNS profiles at NICU discharge and the Bayley Scales of Infant and Toddler Development (BSID-III) at ages 2 and 3 years. Generalized estimating equations tested associations between NNNS profiles and BSID-III composite score changes between ages 2 and 3 years. RESULTS The final study sample included 433 infants with mean gestational age of 27 weeks at birth. Infants with dysregulated NNNS profiles were more likely to have decreases in BSID-III Cognitive (OR = 2.66) and Language scores (OR = 2.53) from age 2 to 3 years compared to infants with more well-regulated neurobehavioral NNNS profiles. Further, infants with more well-regulated NNNS profiles were more likely to have increases in BSID-III Cognitive scores (OR = 2.03), rather than no change, compared to infants with dysregulated NNNS profiles. CONCLUSIONS AND RELEVANCE Prior to NICU discharge, NNNS neurobehavioral profiles identified infants at increased risk for developing later language and cognitive challenges. Findings suggests that neonatal neurobehavior provides a unique, clinically significant contribution to the evaluation of very preterm infants to inform treatment planning for the most vulnerable.
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Affiliation(s)
- Alexandrea L Craft
- Women and Infants Hospital, Providence, RI, United States of America; Warren Alpert Medical School of Brown University, Providence, RI, United States of America.
| | - Marie Camerota
- Women and Infants Hospital, Providence, RI, United States of America; Warren Alpert Medical School of Brown University, Providence, RI, United States of America
| | - Cynthia Loncar
- Women and Infants Hospital, Providence, RI, United States of America
| | - Brian S Carter
- Children's Mercy Hospital, Kansas City, MO, United States of America
| | - Jennifer Check
- Wake Forest School of Medicine, Winston-Salem, NC, United States of America
| | | | | | - Elisabeth C McGowan
- Women and Infants Hospital, Providence, RI, United States of America; Warren Alpert Medical School of Brown University, Providence, RI, United States of America
| | - Charles R Neal
- University of Hawaii John A. Burns School of Medicine, Honolulu, HI, United States of America
| | - T Michael O'Shea
- UNC School of Medicine, Chapel Hill, NC, United States of America
| | - Steven L Pastyrnak
- Spectrum Health-Helen Devos Hospital, Grand Rapids, MI, United States of America
| | - Lynne M Smith
- Harbor-UCLA Medical Center, Torrance, CA, United States of America
| | - Lynne M Dansereau
- Women and Infants Hospital, Providence, RI, United States of America
| | | | - Carmen Marsit
- Rollins School of Public Health of Emory University, Atlanta, GA, United States of America
| | - Barry M Lester
- Women and Infants Hospital, Providence, RI, United States of America; Warren Alpert Medical School of Brown University, Providence, RI, United States of America
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Aris IM, Lin PID, Wu AJ, Dabelea D, Lester BM, Wright RJ, Karagas MR, Kerver JM, Dunlop AL, Joseph CL, Camargo CA, Ganiban JM, Schmidt RJ, Strakovsky RS, McEvoy CT, Hipwell AE, O'Shea TM, McCormack LA, Maldonado LE, Niu Z, Ferrara A, Zhu Y, Chehab RF, Kinsey EW, Bush NR, Nguyen RH, Carroll KN, Barrett ES, Lyall K, Sims-Taylor LM, Trasande L, Biagini JM, Breton CV, Patti MA, Coull B, Amutah-Onukagha N, Hacker MR, James-Todd T, Oken E. Birth outcomes in relation to neighborhood food access and individual food insecurity during pregnancy in the Environmental Influences on Child Health Outcomes (ECHO)-wide cohort study. Am J Clin Nutr 2024; 119:1216-1226. [PMID: 38431121 DOI: 10.1016/j.ajcnut.2024.02.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2023] [Revised: 02/21/2024] [Accepted: 02/26/2024] [Indexed: 03/05/2024] Open
Abstract
BACKGROUND Limited access to healthy foods, resulting from residence in neighborhoods with low-food access or from household food insecurity, is a public health concern. Contributions of these measures during pregnancy to birth outcomes remain understudied. OBJECTIVES We examined associations between neighborhood food access and individual food insecurity during pregnancy with birth outcomes. METHODS We used data from 53 cohorts participating in the nationwide Environmental Influences on Child Health Outcomes-Wide Cohort Study. Participant inclusion required a geocoded residential address or response to a food insecurity question during pregnancy and information on birth outcomes. Exposures include low-income-low-food-access (LILA, where the nearest supermarket is >0.5 miles for urban or >10 miles for rural areas) or low-income-low-vehicle-access (LILV, where few households have a vehicle and >0.5 miles from the nearest supermarket) neighborhoods and individual food insecurity. Mixed-effects models estimated associations with birth outcomes, adjusting for socioeconomic and pregnancy characteristics. RESULTS Among 22,206 pregnant participants (mean age 30.4 y) with neighborhood food access data, 24.1% resided in LILA neighborhoods and 13.6% in LILV neighborhoods. Of 1630 pregnant participants with individual-level food insecurity data (mean age 29.7 y), 8.0% experienced food insecurity. Residence in LILA (compared with non-LILA) neighborhoods was associated with lower birth weight [β -44.3 g; 95% confidence interval (CI): -62.9, -25.6], lower birth weight-for-gestational-age z-score (-0.09 SD units; -0.12, -0.05), higher odds of small-for-gestational-age [odds ratio (OR) 1.15; 95% CI: 1.00, 1.33], and lower odds of large-for-gestational-age (0.85; 95% CI: 0.77, 0.94). Similar findings were observed for residence in LILV neighborhoods. No associations of individual food insecurity with birth outcomes were observed. CONCLUSIONS Residence in LILA or LILV neighborhoods during pregnancy is associated with adverse birth outcomes. These findings highlight the need for future studies examining whether investing in neighborhood resources to improve food access during pregnancy would promote equitable birth outcomes.
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Affiliation(s)
- Izzuddin M Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States.
| | - Pi-I D Lin
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
| | - Allison J Wu
- Division of Gastroenterology, Hepatology and Nutrition, Boston Children's Hospital, Harvard Medical School, Boston, MA, United States
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, United States; Department of Pediatrics, Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Barry M Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Margaret R Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, NH, United States
| | - Jean M Kerver
- Department of Epidemiology and Biostatistics, Michigan State University, East Lansing, MI, United States
| | - Anne L Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, United States
| | - Christine Lm Joseph
- Department of Public Health Sciences, Henry Ford Health System, Detroit, MI, United States
| | - Carlos A Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jody M Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC, United States
| | - Rebecca J Schmidt
- Department of Public Health Sciences, School of Medicine, University of California Davis, Davis, CA, United States
| | - Rita S Strakovsky
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, United States
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, United States
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, United States
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina, Chapel Hill, NC, United States
| | - Lacey A McCormack
- Avera Research Institute, Sioux Falls, SD, United States; Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls, SD, United States
| | - Luis E Maldonado
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Zhongzheng Niu
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Rana F Chehab
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, United States
| | - Eliza W Kinsey
- Department of Family Medicine & Community Health, Perelman School of Medicine, University of Pennsylvania, PA, United States
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, United States; Department of Pediatrics, University of California, San Francisco, CA, United States
| | - Ruby Hn Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, MN, United States
| | - Kecia N Carroll
- Division of General Pediatrics, Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Emily S Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ, United States
| | - Kristen Lyall
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Lauren M Sims-Taylor
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis, TN, United States
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY, United States
| | - Jocelyn M Biagini
- Division of Asthma Research, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Carrie V Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
| | - Marisa A Patti
- AJ Drexel Autism Institute, Drexel University, Philadelphia, PA, United States
| | - Brent Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ndidiamaka Amutah-Onukagha
- Department of Public Health and Community Medicine, Tufts University School of Medicine, Boston, MA, United States
| | - Michele R Hacker
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Obstetrics and Gynecology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Tamarra James-Todd
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, United States
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Shuster CL, Brennan PA, Carter BS, Check J, D'Sa V, Graff JC, Helderman J, Hofheimer JA, Joseph RM, Murphy LE, O'Connor TG, O'Shea TM, Pievsky M, Sheinkopf SJ, Shuffrey LC, Smith LM, Wu PC, Lester BM. Developmental characteristics and accuracy of autism screening among two-year-old toddlers in the ECHO program. Pediatr Res 2024:10.1038/s41390-024-03193-5. [PMID: 38622260 DOI: 10.1038/s41390-024-03193-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Revised: 03/18/2024] [Accepted: 03/18/2024] [Indexed: 04/17/2024]
Abstract
BACKGROUND The Modified Checklist for Autism in Toddlers (M-CHAT) is a common pediatric screening tool with mixed accuracy findings. Prior evidence supports M-CHAT screening for developmental concerns, especially in toddlers born preterm. This study examined M-CHAT accuracy in a large, nationwide sample. METHODS 3393 participants from the Environmental influences on Child Health Outcomes (ECHO) program were included. Harmonized M-CHAT (M-CHAT-H) results were compared with parent-reported autism diagnosis and autism-related characteristics to assess accuracy for term and preterm children, together and separately. Generalized estimating equations, clustering for ECHO cohort and controlling for demographic covariates, were used to examine associations between developmental and behavioral characteristics with M-CHAT-H accuracy. RESULTS Sensitivity of the M-CHAT-H ranged from 36 to 60%; specificity ranged from 88 to 99%. Positive M-CHAT-H was associated with more developmental delays and behavior problems. Children with severe motor delays and more autism-related problems were more likely to have a false-negative M-CHAT-H. Children with fewer behavior problems and fewer autism-related concerns were more likely to have a false-positive screen. CONCLUSION The M-CHAT-H accurately detects children at low risk for autism and children at increased risk with moderate accuracy. These findings support use of the M-CHAT-H in assessing autism risk and developmental and behavioral concerns in children. IMPACT Previous literature regarding accuracy of the Modified Checklist for Autism in Toddlers (M-CHAT) is mixed but this study provides evidence that the M-CHAT performs well in detecting children at low risk for autism and consistently detects children with developmental delays and behavioral problems. The M-CHAT moderately detects children at increased risk for autism and remains a useful screening tool. This study examines M-CHAT accuracy in a large-scale, nationwide sample, examining associations between screening accuracy and developmental outcomes. These findings impact pediatric screening for autism, supporting continued use of the M-CHAT while further elucidating the factors associated with inaccurate screens.
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Affiliation(s)
- Coral L Shuster
- Department of Pediatrics, Women & Infants Hospital of Rhode Island, Providence, RI, USA.
| | - Patricia A Brennan
- Department of Psychology, Emory University School of Medicine, Atlanta, GA, USA
| | - Brian S Carter
- Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Viren D'Sa
- Division of Developmental and Behavioral Pediatrics, Hasbro Children's Hospital, Providence, RI, USA
| | - Joyce C Graff
- University of Tennessee Health Science Center, Memphis, TN, USA
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University Chobanian and Avedisian School of Medicine, Boston, MA, USA
| | - Laura E Murphy
- Department of Psychiatry, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Thomas G O'Connor
- Department of Psychiatry, University of Rochester, Rochester, NY, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Michelle Pievsky
- Department of Psychiatry and Human Behavior, Hasbro Children's Hospital, Lifespan, Providence, RI, USA
| | - Stephen J Sheinkopf
- Thompson Center for Autism & Neurodevelopment, University of Missouri, Columbia, MO, USA
| | - Lauren C Shuffrey
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Pei-Chi Wu
- Developmental Behavioral Pediatrics, Children's Neurodevelopment Center, Lifespan, Providence, RI, USA
| | - Barry M Lester
- Department of Pediatrics, Women & Infants Hospital of Rhode Island, Providence, RI, USA
- Department of Pediatrics, Brown Alpert Medical School, Providence, RI, USA
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4
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Zhang X, Blackwell CK, Moore J, Liu SH, Liu C, Forrest CB, Ganiban J, Stroustrup A, Aschner JL, Trasande L, Deoni SCL, Elliott AJ, Angal J, Karr CJ, Lester BM, McEvoy CT, O'Shea TM, Fry RC, Shipp GM, Gern JE, Herbstman J, Carroll KN, Teitelbaum SL, Wright RO, Wright RJ. 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. Environ Res 2024; 252:118765. [PMID: 38548252 DOI: 10.1016/j.envres.2024.118765] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/29/2023] [Revised: 02/29/2024] [Accepted: 03/19/2024] [Indexed: 04/11/2024]
Abstract
The corona virus disease (COVID-19) pandemic disrupted daily life worldwide, and its impact on child well-being remains a major concern. Neighborhood characteristics affect child well-being, but how these associations were affected by the pandemic is not well understood. We analyzed data from 1039 children enrolled in the Environmental influences on Child Health Outcomes Program whose well-being was assessed using the Patient-Reported Outcomes Measurement Information System Global Health questionnaire and linked these data to American Community Survey (ACS) data to evaluate the impacts of neighborhood characteristics on child well-being before and during the pandemic. We estimated the associations between more than 400 ACS variables and child well-being t-scores stratified by race/ethnicity (non-Hispanic white vs. all other races and ethnicities) and the timing of outcome data assessment (pre-vs. during the pandemic). Network graphs were used to visualize the associations between ACS variables and child well-being t-scores. The number of ACS variables associated with well-being t-scores decreased during the pandemic period. Comparing non-Hispanic white with other racial/ethnic groups during the pandemic, different ACS variables were associated with child well-being. Multiple ACS variables representing census tract-level housing conditions and neighborhood racial composition were associated with lower well-being t-scores among non-Hispanic white children during the pandemic, while higher percentage of Hispanic residents and higher percentage of adults working as essential workers in census tracts were associated with lower well-being t-scores among non-white children during the same study period. Our study provides insights into the associations between neighborhood characteristics and child well-being, and how the COVID-19 pandemic affected this relationship.
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Affiliation(s)
- Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | | | | | - Shelley H Liu
- Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Chang Liu
- Department of Psychology, Washington State University, WA, USA
| | | | - Jody Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington D.C, USA
| | - Annemarie Stroustrup
- Departments of Pediatrics and Occupational Medicine, Epidemiology & Prevention, Zucker School of Medicine at Hofstra / Northwell and Cohen Children's Hospital, New Hyde Park, NY, USA
| | - Judy L Aschner
- Departments of Pediatrics, Hackensack Meridian School of Medicine, Nutley NJ and Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Sean C L Deoni
- Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Amy J Elliott
- Avera Research Institute and University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Jyoti Angal
- Avera Research Institute and University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Catherine J Karr
- Department of Environmental and Occupational Health Sciences, University of Washington, WA, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior/ Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Cindy T McEvoy
- Department of Pediatrics and Papé Pediatric Research Institute, Oregon Health & Science University, Portland, OR, USA
| | - T Michael O'Shea
- Department of Pediatrics, School of Medicine, University of North Carolina at Chapel Hill, NC, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Public Health, University of North Carolina at Chapel Hill, NC, USA
| | - Gayle M Shipp
- Chareles Stewart Mott Department of Public Health, Michigan State University, MI, USA
| | - James E Gern
- Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, WI, USA
| | - Julie Herbstman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, NY, USA
| | - Kecia N Carroll
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Susan L Teitelbaum
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Robert O Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Rosalind J Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Institute for Climate Change, Environmental Health and Exposomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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5
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Hodge KM, Zhabotynsky V, Burt AA, Carter BS, Fry RC, Helderman J, Hofheimer JA, McGowan EC, Neal CR, Pastyrnak SL, Smith LM, DellaGrotta SA, Dansereau LM, Lester BM, Marsit CJ, O'Shea TM, Everson TM. Epigenetic associations in HPA axis genes related to bronchopulmonary dysplasia and antenatal steroids. Pediatr Res 2024:10.1038/s41390-024-03116-4. [PMID: 38480856 DOI: 10.1038/s41390-024-03116-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 01/26/2024] [Accepted: 02/17/2024] [Indexed: 03/18/2024]
Abstract
BACKGROUND Bronchopulmonary dysplasia (BPD), a common morbidity among very preterm infants, is associated with chronic disease and neurodevelopmental impairments. A hypothesized mechanism for these outcomes lies in altered glucocorticoid (GC) activity. We hypothesized that BPD and its treatments may result in epigenetic differences in the hypothalamic-pituitary-adrenal (HPA) axis, which is modulated by GC, and could be ascertained using an established GC risk score and DNA methylation (DNAm) of HPA axis genes. METHODS DNAm was quantified from buccal tissue (ECHO-NOVI) and from neonatal blood spots (ELGAN ECHO) via the EPIC microarray. Prenatal maternal characteristics, pregnancy complication, and neonatal medical complication data were collected from medical record review and maternal interviews. RESULTS The GC score was not associated with steroid exposure or BPD. However, six HPA genes involved in stress response regulation demonstrated differential methylation with antenatal steroid exposure; two CpGs within FKBP5 and POMC were differentially methylated with BPD severity. These findings were sex-specific in both cohorts; males had greater magnitude of differential methylation within these genes. CONCLUSIONS These findings suggest that BPD severity and antenatal steroids are associated with DNAm at some HPA genes in very preterm infants and the effects appear to be sex-, tissue-, and age-specific. IMPACT This study addresses bronchopulmonary dysplasia (BPD), an important health outcome among preterm neonates, and interrogates a commonly studied pathway, the hypothalamic-pituitary-adrenal (HPA) axis. The combination of BPD, the HPA axis, and epigenetic markers has not been previously reported. In this study, we found that BPD itself was not associated with epigenetic responses in the HPA axis in infants born very preterm; however, antenatal treatment with steroids was associated with epigenetic responses.
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Affiliation(s)
- Kenyaita M Hodge
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Vasyl Zhabotynsky
- Institute for Environmental Health Solutions, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Amber A Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Rebecca C Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Elisabeth C McGowan
- Department of Pediatrics, Warren Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen Devos Hospital, Grand Rapids, MI, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sheri A DellaGrotta
- Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, RI, USA
| | - Lynne M Dansereau
- Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, RI, USA
| | - Barry M Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
- Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
- Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
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6
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Camerota M, Lester BM, Castellanos FX, Carter BS, Check J, Helderman J, Hofheimer JA, McGowan EC, Neal CR, Pastyrnak SL, Smith LM, O'Shea TM, Marsit CJ, Everson TM. Epigenome-wide association study identifies neonatal DNA methylation associated with two-year attention problems in children born very preterm. Transl Psychiatry 2024; 14:126. [PMID: 38418845 PMCID: PMC10902402 DOI: 10.1038/s41398-024-02841-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 02/07/2024] [Accepted: 02/16/2024] [Indexed: 03/02/2024] Open
Abstract
Prior research has identified epigenetic predictors of attention problems in school-aged children but has not yet investigated these in young children, or children at elevated risk of attention problems due to preterm birth. The current study evaluated epigenome-wide associations between neonatal DNA methylation and attention problems at age 2 years in children born very preterm. Participants included 441 children from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) Study, a multi-site study of infants born < 30 weeks gestational age. DNA methylation was measured from buccal swabs collected at NICU discharge using the Illumina MethylationEPIC Bead Array. Attention problems were assessed at 2 years of adjusted age using the attention problems subscale of the Child Behavior Checklist (CBCL). After adjustment for multiple testing, DNA methylation at 33 CpG sites was associated with child attention problems. Differentially methylated CpG sites were located in genes previously linked to physical and mental health, including several genes associated with ADHD in prior epigenome-wide and genome-wide association studies. Several CpG sites were located in genes previously linked to exposure to prenatal risk factors in the NOVI sample. Neonatal epigenetics measured at NICU discharge could be useful in identifying preterm children at risk for long-term attention problems and related psychiatric disorders, who could benefit from early prevention and intervention efforts.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
- Brown Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA.
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Brown Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Francisco Xavier Castellanos
- Department of Child and Adolescent Psychiatry, NYU Grossman School of Medicine, New York, NY, USA
- Nathan Kline Institute for Psychiatric Research, Orangeburg, NY, USA
| | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Elisabeth C McGowan
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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Jacobson LP, Parker CB, Cella D, Mroczek DK, Lester BM. Approaches to protocol standardization and data harmonization in the ECHO-wide cohort study. Pediatr Res 2024:10.1038/s41390-024-03039-0. [PMID: 38365871 DOI: 10.1038/s41390-024-03039-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2023] [Revised: 12/07/2023] [Accepted: 12/13/2023] [Indexed: 02/18/2024]
Abstract
The United States (U.S.) National Institutes of Health-funded Environmental influences on Child Health Outcomes (ECHO)-wide Cohort was established to conduct high impact, transdisciplinary science to improve child health and development. The cohort is a collaborative research design in which both extant and new data are contributed by over 57,000 children across 69 cohorts. In this review article, we focus on two key challenging issues in the ECHO-wide Cohort: data collection standardization and data harmonization. Data standardization using a Common Data Model and derived analytical variables based on a team science approach should facilitate timely analyses and reduce errors due to data misuse. However, given the complexity of collaborative research designs, such as the ECHO-wide Cohort, dedicated time is needed for harmonization and derivation of analytic variables. These activities need to be done methodically and with transparency to enhance research reproducibility. IMPACT: Many collaborative research studies require data harmonization either prior to analyses or in the analyses of compiled data. The Environmental influences on Child Health Outcomes (ECHO) Cohort pools extant data with new data collection from over 57,000 children in 69 cohorts to conduct high-impact, transdisciplinary science to improve child health and development, and to provide a national database and biorepository for use by the scientific community at-large. We describe the tools, systems, and approaches we employed to facilitate harmonized data for impactful analyses of child health outcomes.
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Affiliation(s)
- Lisa P Jacobson
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA.
| | | | - David Cella
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
| | - Daniel K Mroczek
- Department of Medical Social Sciences, Northwestern University, Chicago, IL, USA
- Department of Psychology, Northwestern University, Evanston, IL, USA
| | - Barry M Lester
- Department of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
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8
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Camerota M, Lester BM, McGowan EC, Carter BS, Check J, Dansereau LM, DellaGrotta SA, Helderman JB, Hofheimer JA, Loncar CM, Neal CR, O'Shea TM, Pastyrnak SL, Smith LM, Abrishamcar S, Hüls A, Marsit CJ, Everson TM. Contributions of prenatal risk factors and neonatal epigenetics to cognitive outcome in children born very preterm. Dev Psychol 2024:2024-53001-001. [PMID: 38358663 DOI: 10.1037/dev0001709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/16/2024]
Abstract
Children born less than 30 weeks gestational age (GA) are at high risk for neurodevelopmental delay compared to term peers. Prenatal risk factors and neonatal epigenetics could help identify preterm children at highest risk for poor cognitive outcomes. We aimed to understand the associations among cumulative prenatal risk, neonatal DNA methylation, and child cognitive ability at age 3 years, including whether DNA methylation mediates the association between prenatal risk and cognitive ability. We studied 379 neonates (54% male) born less than 30 weeks GA who had DNA methylation measured at neonatal intensive care unit discharge along with 3-year follow-up data. Cumulative prenatal risk was calculated from 24 risk factors obtained from maternal report and medical record and epigenome-wide neonatal DNA methylation was assayed from buccal swabs. At 3-year follow-up, child cognitive ability was assessed using the Bayley Scales of Infant and Toddler Development (third edition). Cumulative prenatal risk and DNA methylation at two cytosine-phosphate-guanines (CpGs) were uniquely associated with child cognitive ability. Using high-dimensional mediation analysis, we also identified differential methylation of 309 CpGs that mediated the association between cumulative prenatal risk and child cognitive ability. Many of the associated CpGs were located in genes (TNS3, TRAPPC4, MAD1L1, APBB2, DIP2C, TRAPPC9, DRD2) that have previously been associated with prenatal exposures and/or neurodevelopmental phenotypes. Our findings suggest a role for both prenatal risk factors and DNA methylation in explaining outcomes for children born preterm and suggest we should further study DNA methylation as a potential mechanism underlying the association between prenatal risk and child neurodevelopment. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University
| | - Elisabeth C McGowan
- Brown Center for the Study of Children at Risk, Alpert Medical School, Brown University
| | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine
| | | | | | | | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine
| | - Cynthia M Loncar
- Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University
| | - Charles R Neal
- Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine
| | | | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center
| | - Sarina Abrishamcar
- Department of Epidemiology, Emory University Rollins School of Public Health
| | - Anke Hüls
- Department of Epidemiology, Emory University Rollins School of Public Health
| | - Carmen J Marsit
- Department of Epidemiology, Emory University Rollins School of Public Health
| | - Todd M Everson
- Department of Epidemiology, Emory University Rollins School of Public Health
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9
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Shuster CL, Sheinkopf SJ, McGowan EC, Hofheimer JA, O’Shea TM, Carter BS, Helderman JB, Check J, Neal CR, Pastyrnak SL, Smith LM, Loncar C, Dansereau LM, DellaGrotta SA, Marsit CJ, Lester BM. Two-Year Autism Risk Screening and 3-Year Developmental Outcomes in Very Preterm Infants. JAMA Pediatr 2024; 178:168-175. [PMID: 38147347 PMCID: PMC10751654 DOI: 10.1001/jamapediatrics.2023.5727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Accepted: 10/25/2023] [Indexed: 12/27/2023]
Abstract
Importance Use of the Modified Checklist for Autism in Toddlers, Revised With Follow-Up, a 2-stage parent-report autism risk screening tool, has been questioned due to reports of poor sensitivity and specificity. How this measure captures developmental delays for very preterm infants may provide support for continued use in pediatric care settings. Objective To determine whether autism risk screening with the 2-stage parent-report autism risk screening tool at age 2 years is associated with behavioral and developmental outcomes at age 3 in very preterm infants. Design, Setting, and Participants Neonatal Neurobehavior and Outcomes for Very Preterm Infants was a longitudinal, multisite cohort study. Enrollment occurred April 2014 to June 2016, and analyses were conducted from November 2022 to May 2023. Data were collected across 9 university-affiliated neonatal intensive care units (NICUs). Inclusion criteria were infants born less than 30 weeks' gestational age, a parent who could read and speak English and/or Spanish, and residence within 3 hours of the NICU and follow-up clinic. Exposures Prematurity and use of the 2-stage parent-report autism risk screening tool at age 2 years. Main Outcomes and Measures Outcomes include cognitive, language, motor composites on Bayley Scales for Infant and Toddler Development, third edition (Bayley-III) and internalizing, externalizing, total problems, and pervasive developmental disorder (PDD) subscale on the Child Behavior Checklist (CBCL) at age 3 years. Generalized estimating equations tested associations between the 2-stage parent-report autism risk screening tool and outcomes, adjusting for covariates. Results A total of 467 children (mean [SD] gestational age, 27.1 [1.8] weeks; 243 male [52%]) were screened with the 2-stage parent-report autism risk screening tool at age 2 years, and outcome data at age 3 years were included in analyses. Mean (SD) maternal age at birth was 29 (6) years. A total of 51 children (10.9%) screened positive on the 2-stage parent-report autism risk screening tool at age 2 years. Children with positive screening results were more likely to have Bayley-III composites of 84 or less on cognitive (adjusted odds ratio [aOR], 4.03; 95% CI, 1.65-9.81), language (aOR, 5.38; 95% CI, 2.43-11.93), and motor (aOR, 4.74; 95% CI, 2.19-10.25) composites and more likely to have CBCL scores of 64 or higher on internalizing (aOR, 4.83; 95% CI, 1.88-12.44), externalizing (aOR, 2.69; 95% CI, 1.09-6.61), and PDD (aOR, 3.77; 95% CI, 1.72-8.28) scales. Conclusions and Relevance Results suggest that the 2-stage parent-report autism risk screening tool administered at age 2 years was a meaningful screen for developmental delays in very preterm infants, with serious delays detected at age 3 years.
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Affiliation(s)
- Coral L. Shuster
- The Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, Rhode Island
| | - Stephen J. Sheinkopf
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia
| | - Elisabeth C. McGowan
- The Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, Rhode Island
- Brown Alpert Medical School, Providence, Rhode Island
| | | | | | | | | | - Jennifer Check
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Charles R. Neal
- University of Hawaii John A. Burns School of Medicine, Honolulu, Hawaii
| | | | | | | | - Lynne M. Dansereau
- The Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, Rhode Island
| | - Sheri A. DellaGrotta
- The Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, Rhode Island
| | | | - Barry M. Lester
- The Brown Center for the Study of Children at Risk, Women and Infants Hospital, Providence, Rhode Island
- Brown Alpert Medical School, Providence, Rhode Island
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10
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Camerota M, Bagley J, McGowan EC, Carter BS, Check J, Dansereau LM, DellaGrotta SA, Helderman JB, Hofheimer JA, Loncar CM, Neal CR, O’Shea TM, Pastyrnak SL, Smith LM, Everson TM, Lester BM. Agreement Between Two Behavioral Rating Scales in Preschoolers Born Very Preterm. J Dev Behav Pediatr 2024; 45:e72-e78. [PMID: 38146850 PMCID: PMC10922403 DOI: 10.1097/dbp.0000000000001238] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 10/17/2023] [Indexed: 12/27/2023]
Abstract
OBJECTIVE Broadband parent rating scales are commonly used to assess behavioral problems in children. Multiple rating scales are available, yet agreement between them is not well-understood. The objective of this study was to evaluate agreement between the Behavior Assessment System for Children, Third Edition (BASC-3), and Child Behavior Checklist 1.5 to 5 years (CBCL) in a sample of children born very preterm. METHOD We assessed 73 children born < 30 weeks' gestational age whose caregivers completed the BASC-3 and CBCL at age 4. We examined correlations, within-person differences, and agreement in clinical categorization for all corresponding subscales and composites. RESULTS Comparable subscales on the BASC-3 and CBCL were significantly correlated, albeit to differing magnitudes. Subscales indexing hyperactivity and attention problems were the most comparable across the 2 measures, evidenced by strong correlations and few to no differences in mean T-scores. Composite scores indexing internalizing, externalizing, and total problems were also strongly correlated, and there were no differences in the mean T-scores for externalizing or total problems across measures. Agreement in clinical classifications were weak to moderate, though again, the highest agreement was found for hyperactivity, attention, externalizing, and total problems. CONCLUSION Agreement between BASC-3 and CBCL subscales was weak to moderate, with the exception of subscales related to attention and hyperactivity, as well as composite scores indicating overall behavior problems. Researchers and clinicians should consider these discrepancies when interpreting the results of behavior rating scales with preschool children because conclusions could differ based on the assessment that is used.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | - Jessica Bagley
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | - Elisabeth C. McGowan
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Lynne M. Dansereau
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | - Sheri A. DellaGrotta
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | | | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC
| | - Cynthia M. Loncar
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
| | - Charles R. Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC
| | - Steven L. Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI
| | - Lynne M. Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, United States
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI
- Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI
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11
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Camerota M, McGowan EC, Aschner J, Stroustrup A, O'Shea TM, Hofheimer JA, Joseph RM, Musci R, Taylor G, Carter BS, Check J, Dansereau LM, Gogcu S, Helderman JB, Neal CR, Pastyrnak SL, Smith LM, Marsit CJ, Lester BM. Neurodevelopmental and behavioral outcomes of very preterm infants: latent profile analysis in the Environmental influences on Child Health Outcomes (ECHO) Program. Pediatr Res 2024; 95:377-385. [PMID: 37700161 PMCID: PMC10885008 DOI: 10.1038/s41390-023-02814-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Revised: 08/18/2023] [Accepted: 08/29/2023] [Indexed: 09/14/2023]
Abstract
BACKGROUND Very preterm infants are at high risk for neurodevelopmental impairments. We used a child-centered approach (latent profile analysis [LPA]) to describe 2-year neurobehavioral profiles for very preterm infants based on cognitive, motor, and behavioral outcomes. We hypothesized that distinct outcome profiles would differ in the severity and co-occurrence of neurodevelopmental and behavioral impairment. METHODS We studied children born <33 weeks' gestation from the Environmental influences on Child Health Outcomes Program with at least one neurobehavioral assessment at age 2 (Bayley Scales of Infant and Toddler Development, Child Behavior Checklist, Modified Checklist for Autism in Toddlers, cerebral palsy diagnosis). We applied LPA to identify subgroups of children with different patterns of outcomes. RESULTS In 2036 children (52% male; 48% female), we found four distinct neurobehavioral profiles. Most children (~85%) were categorized into one of two profiles characterized by no/mild neurodevelopmental delay and a low prevalence of behavioral problems. Fewer children (~15%) fell into one of two profiles characterized by severe neurodevelopmental impairments. One profile consisted of children (5%) with co-occurring neurodevelopmental impairment and behavioral problems. CONCLUSION Child-centered approaches provide a comprehensive, parsimonious description of neurodevelopment following preterm birth and can be useful for clinical and research purposes. IMPACT Most research on outcomes for children born very preterm have reported rates of impairment in single domains. Child-centered approaches describe profiles of children with unique combinations of cognitive, motor, and behavioral strengths and weaknesses. We capitalized on data from the nationwide Environmental influences on Child Health Outcomes Program to examine these profiles in a large sample of children born <33 weeks gestational age. We found four distinct neurobehavioral profiles consisting of different combinations of cognitive, motor, and behavioral characteristics. This information could aid in the development of clinical interventions that target different profiles of children with unique developmental needs.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA.
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
| | - Elisabeth C McGowan
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Judy Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, USA
- Albert Einstein College of Medicine, Bronx, NY, USA
| | - Annemarie Stroustrup
- Division of Neonatology, Cohen Children's Medical Center, Northwell Health, New Hyde Park, NY, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Robert M Joseph
- Department of Anatomy and Neurobiology, Boston University School of Medicine, Boston, MA, USA
| | - Rashelle Musci
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Genevieve Taylor
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Brian S Carter
- Department of Pediatrics, Children's Mercy-Kansas City, Kansas City, MO, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - Semsa Gogcu
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Jennifer B Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, NC, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI, USA
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12
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Wouldes TA, Lester BM. Opioid, methamphetamine, and polysubstance use: perinatal outcomes for the mother and infant. Front Pediatr 2023; 11:1305508. [PMID: 38250592 PMCID: PMC10798256 DOI: 10.3389/fped.2023.1305508] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2023] [Accepted: 11/20/2023] [Indexed: 01/23/2024] Open
Abstract
The escalation in opioid pain relief (OPR) medications, heroin and fentanyl, has led to an increased use during pregnancy and a public health crisis. Methamphetamine use in women of childbearing age has now eclipsed the use of cocaine and other stimulants globally. Recent reports have shown increases in methamphetamine are selective to opioid use, particularly in rural regions in the US. This report compares the extent of our knowledge of the perinatal outcomes of OPRs, heroin, fentanyl, two long-acting substances used in the treatment of opioid use disorders (buprenorphine and methadone), and methamphetamine. The methodological limitations of the current research are examined, and two important initiatives that will address these limitations are reviewed. Current knowledge of the perinatal effects of short-acting opioids, OPRs, heroin, and fentanyl, is scarce. Most of what we know about the perinatal effects of opioids comes from research on the long-acting opioid agonist drugs used in the treatment of OUDs, methadone and buprenorphine. Both have better perinatal outcomes for the mother and newborn than heroin, but the uptake of these opioid substitution programs is poor (<50%). Current research on perinatal outcomes of methamphetamine is limited to retrospective epidemiological studies, chart reviews, one study from a treatment center in Hawaii, and the US and NZ cross-cultural infant Development, Environment And Lifestyle IDEAL studies. Characteristics of pregnant individuals in both opioid and MA studies were associated with poor maternal health, higher rates of mental illness, trauma, and poverty. Infant outcomes that differed between opioid and MA exposure included variations in neurobehavior at birth which could complicate the diagnosis and treatment of neonatal opioid withdrawal (NOWs). Given the complexity of OUDs in pregnant individuals and the increasing co-use of these opioids with MA, large studies are needed. These studies need to address the many confounders to perinatal outcomes and employ neurodevelopmental markers at birth that can help predict long-term neurodevelopmental outcomes. Two US initiatives that can provide critical research and treatment answers to this public health crisis are the US Environmental influences on Child Health Outcomes (ECHO) program and the Medication for Opioid Use Disorder During Pregnancy Network (MAT-LINK).
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Affiliation(s)
- Trecia A. Wouldes
- Department of Psychological Medicine, The University of Auckland, Auckland, New Zealand
| | - Barry M. Lester
- Center for the Study of Children at Risk, Warren Alpert Medical School, Brown University, Providence, RI, United States
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13
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Paniagua U, Lester BM, Marsit CJ, Camerota M, Carter BS, Check JF, Helderman J, Hofheimer JA, McGowan EC, Neal CR, Pastyrnak SL, Smith LM, DellaGrotta SA, Dansereau LM, O’Shea TM, Everson TM. Epigenetic age acceleration, neonatal morbidities, and neurobehavioral profiles in infants born very preterm. Epigenetics 2023; 18:2280738. [PMID: 37983304 PMCID: PMC10732637 DOI: 10.1080/15592294.2023.2280738] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2023] [Accepted: 11/03/2023] [Indexed: 11/22/2023] Open
Abstract
Epigenetic age acceleration is a risk factor for chronic diseases of ageing and may reflect aspects of biological ageing. However, few studies have examined epigenetic ageing during the early neonatal period in preterm infants, who are at heightened risk of developmental problems. We examined relationships between neonatal age acceleration, neonatal morbidities, and neurobehavioral domains among very preterm (<30 weeks gestation) infants to characterize whether infants with early morbidities or different neurobehavioral characteristics had accelerated or decelerated epigenetic ageing. This study uses data from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, restricted to infants with data on variables assessed (n = 519). We used generalized estimating equations to test for differences in age acceleration associated with severe neonatal medical morbidities and neurobehavioral characteristics. We found that infants with neonatal morbidities, in particular, bronchopulmonary dysplasia (BPD), had accelerated epigenetic age - and some evidence that infants with hypertonicity and asymmetric reflexes had increased and decreased age acceleration, respectively. Adjustment for gestational age attenuated some associations, suggesting that the relationships observed may be driven by the duration of gestation. Our most robust finding shows that very preterm infants with neonatal morbidities (BPD in particular) exhibit age acceleration, but most neonatal neurobehavioral characteristics and morbidities are not associated with early life age acceleration. Lower gestational age at birth may be an upstream factor driving these associations.
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Affiliation(s)
- Uriel Paniagua
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Barry M. Lester
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Brown Alpert Medical School, Providence, RI, USA
| | - Carmen J. Marsit
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Marie Camerota
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
- Department of Psychiatry and Human Behavior, Brown Alpert Medical School, Providence, RI, USA
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO, USA
| | - Jennifer F. Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Elisabeth C. McGowan
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
| | - Charles R. Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Steven L. Pastyrnak
- Department of Pediatrics, Corewell Health, Helen DeVos Children’s Hospital, Grand Rapids, MI, USA
| | - Lynne M. Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Sheri A. DellaGrotta
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
| | - Lynne M. Dansereau
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI, USA
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Todd M. Everson
- Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
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14
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Thierry KL, Hockett CW, Elliott AJ, Wosu AC, Chandran A, Blackwell CK, Margolis AE, Karagas MR, Vega CV, Duarte CS, Camargo CA, Lester BM, McGowan EC, Ferrara A, O'Connor TG, McEvoy CT, Hipwell AE, Leve LD, Ganiban JM, Comstock SS, Dabelea D. Associations between COVID-19-related family hardships/distress and children's Adverse Childhood Experiences during the pandemic: The Environmental influences on Child Health Outcomes (ECHO) program. Child Abuse Negl 2023; 146:106510. [PMID: 37922614 DOI: 10.1016/j.chiabu.2023.106510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Revised: 10/02/2023] [Accepted: 10/08/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Economic hardships imposed by the pandemic could have implications for children's experiences of adversity in the home, or Adverse Childhood Experiences (ACEs). OBJECTIVE This observational cohort study examined associations between COVID-19-related hardships and distress (e.g., job loss, caregiver stress) and the cumulative number of child ACEs reported by caregivers during the pandemic (i.e., March 1, 2020-February 28, 2022). PARTICIPANTS AND SETTING The study included children (N = 4345; median age = 6.0 years, interquartile range = 4-9 years) and their parents/caregivers who participated in the NIH-funded Environmental influences in Child Health Outcomes (ECHO) Program. METHODS We described socio-demographic characteristics and pandemic-related family hardships/distress and cumulative child ACE scores reported during pre-pandemic and pandemic periods. We used negative binomial regression models to evaluate associations between pandemic-related family hardships and cumulative child ACE scores reported during the pandemic. RESULTS Each caregiver-reported hardship/distress was associated with higher child ACE scores reported during the pandemic. After accounting for pre-pandemic child ACE scores, moderate and severe symptoms of pandemic-related traumatic stress among caregivers were associated with 108 % and 141 % higher child ACE scores reported during the pandemic, respectively, compared with no or low caregiver symptoms. In addition, finance-related stress during the pandemic was associated with 47 % higher child ACE scores. After adjusting for pre-pandemic child experiences of neglect, most sources of stress remained significantly associated with higher child ACE scores reported during the pandemic, particularly severe/very severe symptoms of pandemic-related traumatic stress among caregivers. Findings held for children with no known pre-pandemic ACEs. CONCLUSIONS This research suggests that caregivers experiencing financial hardships and those with severe pandemic-related traumatic stress may require additional support systems during stressful events.
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Affiliation(s)
| | - Christine W Hockett
- Department of Pediatrics, University of South Dakota School of Medicine, Vermillion, SD, USA; Avera Research Institute, Sioux Falls, SD, USA
| | | | - Adaeze C Wosu
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Aruna Chandran
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Courtney K Blackwell
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Amy E Margolis
- Department of Psychiatry, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
| | | | - Carmen Velez Vega
- Social Sciences Department, School of Public Health, University of Puerto Rico, San Juan, PR
| | - Cristiane S Duarte
- Columbia University Irving Medical Center - New York State Psychiatric Institute, New York, NY, USA
| | | | - Barry M Lester
- Department of Pediatrics, Brown University, Providence, RI, USA
| | | | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience and Obstetrics & Gynecology, University of Rochester, Rochester, NY, USA
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Leslie D Leve
- Department of Education, University of Oregon, Eugene, OR, USA
| | - Jody M Ganiban
- Department of Psychological and Behavioral Sciences, The George Washington University, Washington, DC, USA
| | - Sarah S Comstock
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing, MI, USA
| | - Dana Dabelea
- University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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15
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Joseph CLM, Singh AM, Breton CV, Hartert T, Cacho F, Karagas MR, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, Gold DR, James P, Oken E. Neighborhood Opportunity and Vulnerability and Incident Asthma Among Children. JAMA Pediatr 2023; 177:1055-1064. [PMID: 37639269 PMCID: PMC10463174 DOI: 10.1001/jamapediatrics.2023.3133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 06/29/2023] [Indexed: 08/29/2023]
Abstract
Background The extent to which physical and social attributes of neighborhoods play a role in childhood asthma remains understudied. Objective To examine associations of neighborhood-level opportunity and social vulnerability measures with childhood asthma incidence. Design, Setting, and Participants This cohort study used data from children in 46 cohorts participating in the Environmental Influences on Child Health Outcomes (ECHO) Program between January 1, 1995, and August 31, 2022. Participant inclusion required at least 1 geocoded residential address from birth and parent or caregiver report of a physician's diagnosis of asthma. Participants were followed up to the date of asthma diagnosis, date of last visit or loss to follow-up, or age 20 years. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) at birth, infancy, or early childhood, grouped into very low (<20th percentile), low (20th to <40th percentile), moderate (40th to <60th percentile), high (60th to <80th percentile), or very high (≥80th percentile) COI or SVI. Main Outcomes and Measures The main outcome was parent or caregiver report of a physician's diagnosis of childhood asthma (yes or no). Poisson regression models estimated asthma incidence rate ratios (IRRs) associated with COI and SVI scores at each life stage. Results The study included 10 516 children (median age at follow-up, 9.1 years [IQR, 7.0-11.6 years]; 52.2% male), of whom 20.6% lived in neighborhoods with very high COI and very low SVI. The overall asthma incidence rate was 23.3 cases per 1000 child-years (median age at asthma diagnosis, 6.6 years [IQR, 4.1-9.9 years]). High and very high (vs very low) COI at birth, infancy, or early childhood were associated with lower subsequent asthma incidence independent of sociodemographic characteristics, parental asthma history, and parity. For example, compared with very low COI, the adjusted IRR for asthma was 0.87 (95% CI, 0.75-1.00) for high COI at birth and 0.83 (95% CI, 0.71-0.98) for very high COI at birth. These associations appeared to be attributable to the health and environmental and the social and economic domains of the COI. The SVI during early life was not significantly associated with asthma incidence. For example, compared with a very high SVI, the adjusted IRR for asthma was 0.88 (95% CI, 0.75-1.02) for low SVI at birth and 0.89 (95% CI, 0.76-1.03) for very low SVI at birth. Conclusions In this cohort study, high and very high neighborhood opportunity during early life compared with very low neighborhood opportunity were associated with lower childhood asthma incidence. These findings suggest the need for future studies examining whether investing in health and environmental or social and economic resources in early life would promote health equity in pediatric asthma.
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Affiliation(s)
- Izzuddin M. Aris
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- University of Puerto Rico (UPR) Graduate School of Public Health, UPR Medical Sciences Campus, San Juan, Puerto Rico
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, Department of Pediatrics, University of Wisconsin–Madison
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School, Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC
| | - Su H. Chu
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, The University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Wayne State University, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, Grossman School of Medicine, New York University, New York
| | - Bibiana Restrepo
- Department of Pediatrics, School of Medicine, University of California, Davis, Sacramento
| | - Diane R. Gold
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Medicine, Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Peter James
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
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16
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Shuster CL, Sheinkopf SJ, McGowan EC, Hofheimer JA, O'Shea TM, Carter BS, Helderman JB, Check J, Neal CR, Pastyrnak SL, Smith LM, Loncar C, Dansereau LM, DellaGrotta SA, Marsit C, Lester BM. Neurobehavioral and Medical Correlates of Autism Screening: 2-Year Outcomes for Infants Born Very Preterm. J Pediatr 2023; 260:113536. [PMID: 37271496 PMCID: PMC10526642 DOI: 10.1016/j.jpeds.2023.113536] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 05/26/2023] [Accepted: 05/29/2023] [Indexed: 06/06/2023]
Abstract
OBJECTIVE To identify neonatal characteristics and 2-year neurodevelopmental outcomes associated with positive screening for risk of autism. STUDY DESIGN Nine university-affiliated neonatal intensive care units (NICUs) enrolled infants born at <30 weeks of gestation. Infants underwent the NICU Network Neurobehavioral Scale examination before discharge and the Bayley Scales of Infant and Toddler Development, Third Edition, the Child Behavior Checklist, and the Modified Checklist for Autism in Toddlers, revised with follow-up (M-CHAT-R/F) at 2 years of corrected age. Generalized estimating equations examined associations between M-CHAT-R/F, neurobehavioral test results, and neonatal medical morbidities. RESULTS At 2 years of corrected age, data were available for 466 of 744 enrolled infants without cerebral palsy. Infants with hypoaroused NICU Network Neurobehavioral Scale profiles were more likely to screen M-CHAT-R/F-positive (OR 2.76, 95% CI 1.38-5.54). Infants with ≥2 medical morbidities also were more likely to screen positive (OR 2.65, 95% CI 1.27-5.54). Children with positive M-CHAT-R/F scores had lower Bayley Scales of Infant and Toddler Development, Third Edition, Cognitive (t [451] = 5.43, P < .001, d = 0.82), Language (t [53.49] = 7.82, P < .001, d = 1.18), and Motor (t [451] = 7.98, P < .001, d = 1.21) composite scores and significantly greater Child Behavior Checklist Internalizing (t [457] -6.19, P < .001, d = -0.93) and Externalizing (t [57.87] = -5.62, P < .001, d = -0.84) scores. CONCLUSIONS Positive M-CHAT-R/F screens at 2 years of corrected age were associated with neonatal medical morbidities and neurobehavioral examinations as well as toddler developmental and behavioral outcomes. These findings demonstrate the potential utility of the M-CHAT-R/F as a global developmental screener in infants born very preterm, regardless of whether there is a later autism diagnosis.
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Affiliation(s)
- Coral L Shuster
- Department of Pediatrics, Women and Infants Hospital, Providence, RI.
| | - Stephen J Sheinkopf
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, MO
| | | | | | - T Michael O'Shea
- Deparment of Pediatrics, UNC School of Medicine, Chapel Hill, NC
| | - Brian S Carter
- Department of Pediatrics, Children's Mercy Hospital, Kansas City, MO
| | | | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Charles R Neal
- Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen Devos Hospital, Grand Rapids, MI
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA
| | - Cynthia Loncar
- Department of Pediatrics, Brown Alpert Medical School, Providence, RI; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI
| | | | - Carmen Marsit
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA
| | - Barry M Lester
- Department of Pediatrics, Women and Infants Hospital, Providence, RI; Department of Pediatrics, Brown Alpert Medical School, Providence, RI; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI
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17
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Camerota M, McGowan EC, Carter BS, Check J, Dansereau LM, DellaGrotta SA, Helderman JB, Hofheimer JA, Neal CR, O'Shea TM, Pastyrnak SL, Smith LM, Lester BM. Maternal Prenatal Risk Phenotypes and Neurobehavioral Outcomes among Infants Born Very Preterm. J Pediatr 2023; 260:113521. [PMID: 37244578 PMCID: PMC10527115 DOI: 10.1016/j.jpeds.2023.113521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 05/16/2023] [Accepted: 05/21/2023] [Indexed: 05/29/2023]
Abstract
OBJECTIVE To assess whether prenatal risk phenotypes are associated with neurobehavioral impairment for children born <30 weeks of gestation at discharge from the neonatal intensive care unit (NICU) and at 24-month follow-up. STUDY DESIGN We studied infants from the Neonatal Neurobehavior and Outcomes in Very Preterm Infants (NOVI) study, a multisite investigation of infants born <30 weeks of gestation. There were 704 newborns enrolled in the NOVI study; of these, 679 (96%) had neonatal neurobehavioral data and 556 (79%) had 24-month follow-up data. Maternal prenatal phenotypes (physical and psychological risk groups) were characterized from 24 physical and psychological health risk factors. Neurobehavior was assessed at NICU discharge using the NICU Network Neurobehavioral Scales and at 2-year follow-up using the Bayley Scales of Infant and Toddler Development and the Child Behavior Checklist. RESULTS Children born to mothers in the psychological risk group were at increased risk for dysregulated neonatal neurobehavior (OR, 2.04; 95% CI, 1.08-3.87) at NICU discharge, and for severe motor delay (OR, 3.80; 95% CI, 1.48-9.75), and clinically significant externalizing problems (OR, 2.54; 95% CI, 1.15-5.56) at age 24 months, compared with children born to mothers in the low-risk group. Children born to mothers in the physical risk group were more likely to have severe motor delay (OR, 2.70; 95% CI, 1.07-6.85) compared with the low-risk group. CONCLUSIONS High-risk maternal prenatal phenotypes were associated with neurobehavioral impairment for children born very preterm. This information could identify newborns at risk for adverse neurodevelopmental outcomes.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI; Department of Pediatrics, Women and Infants Hospital, Providence, RI.
| | - Elisabeth C McGowan
- Department of Pediatrics, Women and Infants Hospital, Providence, RI; Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI
| | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI
| | | | | | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI; Department of Pediatrics, Women and Infants Hospital, Providence, RI; Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI
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18
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Knapp EA, Kress AM, Parker CB, Page GP, McArthur K, Gachigi KK, Alshawabkeh AN, Aschner JL, Bastain TM, Breton CV, Bendixsen CG, Brennan PA, Bush NR, Buss C, Camargo, Jr. CA, Catellier D, Cordero JF, Croen L, Dabelea D, Deoni S, D’Sa V, Duarte CS, Dunlop AL, Elliott AJ, Farzan SF, Ferrara A, Ganiban JM, Gern JE, Giardino AP, Towe-Goodman NR, Gold DR, Habre R, Hamra GB, Hartert T, Herbstman JB, Hertz-Picciotto I, Hipwell AE, Karagas MR, Karr CJ, Keenan K, Kerver JM, Koinis-Mitchell D, Lau B, Lester BM, Leve LD, Leventhal B, LeWinn KZ, Lewis J, Litonjua AA, Lyall K, Madan JC, McEvoy CT, McGrath M, Meeker JD, Miller RL, Morello-Frosch R, Neiderhiser JM, O’Connor TG, Oken E, O’Shea M, Paneth N, Porucznik CA, Sathyanarayana S, Schantz SL, Spindel ER, Stanford JB, Stroustrup A, Teitelbaum SL, Trasande L, Volk H, Wadhwa PD, Weiss ST, Woodruff TJ, Wright RJ, Zhao Q, Jacobson LP, Influences on Child Health Outcomes ,OBOPCFE. The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort. Am J Epidemiol 2023; 192:1249-1263. [PMID: 36963379 PMCID: PMC10403303 DOI: 10.1093/aje/kwad071] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Revised: 03/17/2023] [Accepted: 03/23/2023] [Indexed: 03/26/2023] Open
Abstract
The Environmental Influences on Child Health Outcomes (ECHO)-Wide Cohort Study (EWC), a collaborative research design comprising 69 cohorts in 31 consortia, was funded by the National Institutes of Health (NIH) in 2016 to improve children's health in the United States. The EWC harmonizes extant data and collects new data using a standardized protocol, the ECHO-Wide Cohort Data Collection Protocol (EWCP). EWCP visits occur at least once per life stage, but the frequency and timing of the visits vary across cohorts. As of March 4, 2022, the EWC cohorts contributed data from 60,553 children and consented 29,622 children for new EWCP data and biospecimen collection. The median (interquartile range) age of EWCP-enrolled children was 7.5 years (3.7-11.1). Surveys, interviews, standardized examinations, laboratory analyses, and medical record abstraction are used to obtain information in 5 main outcome areas: pre-, peri-, and postnatal outcomes; neurodevelopment; obesity; airways; and positive health. Exposures include factors at the level of place (e.g., air pollution, neighborhood socioeconomic status), family (e.g., parental mental health), and individuals (e.g., diet, genomics).
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Affiliation(s)
- Emily A Knapp
- Correspondence to Dr. Emily Knapp, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 700 E. Pratt Street, Suite 1000, Baltimore, Maryland 21202 (e-mail: )
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19
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Camerota M, McGowan EC, Aschner J, Stroustrup A, Karagas MR, Conradt E, Crowell SE, Brennan PA, Carter BS, Check J, Dansereau LM, DellaGrotta SA, Everson TM, Helderman JB, Hofheimer JA, Kuiper JR, Loncar CM, Marsit CJ, Neal CR, O'Shea TM, Pastyrnak SL, Sheinkopf SJ, Smith LM, Zhang X, Lester BM. Prenatal and perinatal factors associated with neonatal neurobehavioral profiles in the ECHO Program. Pediatr Res 2023; 94:762-770. [PMID: 36841884 PMCID: PMC10440230 DOI: 10.1038/s41390-023-02540-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2022] [Revised: 11/23/2022] [Accepted: 02/06/2023] [Indexed: 02/27/2023]
Abstract
BACKGROUND Single-cohort studies have identified distinct neurobehavioral profiles that are associated with prenatal and neonatal factors based on the NICU Network Neurobehavioral Scale (NNNS). We examined socioeconomic, medical, and substance use variables as predictors of NNNS profiles in a multi-cohort study of preterm and term-born infants with different perinatal exposures. METHODS We studied 1112 infants with a neonatal NNNS exam from the Environmental influences on Child Health Outcomes (ECHO) consortium. We used latent profile analysis to characterize infant neurobehavioral profiles and generalized estimating equations to determine predictors of NNNS profiles. RESULTS Six distinct neonatal neurobehavioral profiles were identified, including two dysregulated profiles: a hypo-aroused profile (16%) characterized by lethargy, hypotonicity, and nonoptimal reflexes; and a hyper-aroused profile (6%) characterized by high arousal, excitability, and stress, with low regulation and poor movement quality. Infants in the hypo-aroused profile were more likely to be male, have younger mothers, and have mothers who were depressed prenatally. Infants in the hyper-aroused profile were more likely to be Hispanic/Latino and have mothers who were depressed or used tobacco prenatally. CONCLUSIONS We identified two dysregulated neurobehavioral profiles with distinct perinatal antecedents. Further understanding of their etiology could inform targeted interventions to promote positive developmental outcomes. IMPACT Prior research on predictors of neonatal neurobehavior have included single-cohort studies, which limits generalizability of findings. In a multi-cohort study of preterm and term-born infants, we found six distinct neonatal neurobehavioral profiles, with two profiles being identified as dysregulated. Hypo- and hyper-aroused neurobehavioral profiles had distinct perinatal antecedents. Understanding perinatal factors associated with dysregulated neurobehavior could help promote positive developmental outcomes.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA.
| | - Elisabeth C McGowan
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Judy Aschner
- Departments of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ, USA
- Albert Einstein College of Medicine, Bronx, NY, USA
| | - Annemarie Stroustrup
- Division of Neonatology, Cohen Children's Medical Center, Northwell Health, New Hyde Park, NY, USA
| | - Margaret R Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH, USA
| | - Elisabeth Conradt
- Department of Psychiatry, Duke University School of Medicine, Durham, NC, USA
| | - Sheila E Crowell
- Department of Psychology, University of Utah, Salt Lake City, UT, USA
| | | | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | | | - Todd M Everson
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Jennifer B Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Jordan R Kuiper
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Cynthia M Loncar
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Carmen J Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Thomas Michael O'Shea
- Department of Pediatrics, University of North Carolina and Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI, USA
| | - Stephen J Sheinkopf
- Thompson Center for Autism and Neurodevelopment, University of Missouri, Columbia, MO, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Xueying Zhang
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
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20
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Camerota M, Lester BM, Everson TM. Epigenetic studies of child neurodevelopment: what can we learn from a developmental science perspective? Epigenomics 2023; 15:799-804. [PMID: 37702026 PMCID: PMC10520751 DOI: 10.2217/epi-2023-0218] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/08/2023] [Indexed: 09/14/2023] Open
Affiliation(s)
- Marie Camerota
- Departments of Pediatrics & Psychiatry and Human Behavior, Center for the Study of Children at Risk, Brown Alpert Medical School & Women & Infants Hospital, Providence, RI 02905, USA
| | - Barry M Lester
- Departments of Pediatrics & Psychiatry and Human Behavior, Center for the Study of Children at Risk, Brown Alpert Medical School & Women & Infants Hospital, Providence, RI 02905, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
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21
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LeWinn KZ, Trasande L, Law A, Blackwell CK, Bekelman TA, Arizaga JA, Sullivan AA, Bastain TM, Breton CV, Karagas MR, Elliott AJ, Karr CJ, Carroll KN, Dunlop AL, Croen LA, Margolis AE, Alshawabkeh AN, Cordero JF, Singh AM, Seroogy CM, Jackson DJ, Wood RA, Hartert TV, Kim YS, Duarte CS, Schweitzer JB, Lester BM, McEvoy CT, O’Connor TG, Oken E, Bornkamp N, Brown ED, Porucznik CA, Ferrara A, Camargo CA, Zhao Q, Ganiban JM, Jacobson LP. Sociodemographic Differences in COVID-19 Pandemic Experiences Among Families in the United States. JAMA Netw Open 2023; 6:e2330495. [PMID: 37610749 PMCID: PMC10448300 DOI: 10.1001/jamanetworkopen.2023.30495] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 07/17/2023] [Indexed: 08/24/2023] Open
Abstract
Importance Few population-based studies in the US collected individual-level data from families during the COVID-19 pandemic. Objective To examine differences in COVID-19 pandemic-related experiences in a large sociodemographically diverse sample of children and caregivers. Design, Setting, and Participants The Environmental influences on Child Health Outcomes (ECHO) multi-cohort consortium is an ongoing study that brings together 64 individual cohorts with participants (24 757 children and 31 700 caregivers in this study) in all 50 US states and Puerto Rico. Participants who completed the ECHO COVID-19 survey between April 2020 and March 2022 were included in this cross-sectional analysis. Data were analyzed from July 2021 to September 2022. Main Outcomes and Measures Exposures of interest were caregiver education level, child life stage (infant, preschool, middle childhood, and adolescent), and urban or rural (population <50 000) residence. Dependent variables included COVID-19 infection status and testing; disruptions to school, child care, and health care; financial hardships; and remote work. Outcomes were examined separately in logistic regression models mutually adjusted for exposures of interest and race, ethnicity, US Census division, sex, and survey administration date. Results Analyses included 14 646 children (mean [SD] age, 7.1 [4.4] years; 7120 [49%] female) and 13 644 caregivers (mean [SD] age, 37.6 [7.2] years; 13 381 [98%] female). Caregivers were racially (3% Asian; 16% Black; 12% multiple race; 63% White) and ethnically (19% Hispanic) diverse and comparable with the US population. Less than high school education (vs master's degree or more) was associated with more challenges accessing COVID-19 tests (adjusted odds ratio [aOR], 1.88; 95% CI, 1.06-1.58), lower odds of working remotely (aOR, 0.04; 95% CI, 0.03-0.07), and more food access concerns (aOR, 4.14; 95% CI, 3.20-5.36). Compared with other age groups, young children (age 1 to 5 years) were least likely to receive support from schools during school closures, and their caregivers were most likely to have challenges arranging childcare and concerns about work impacts. Rural caregivers were less likely to rank health concerns (aOR, 0.77; 95% CI, 0.69-0.86) and social distancing (aOR, 0.82; 95% CI, 0.73-0.91) as top stressors compared with urban caregivers. Conclusions Findings in this cohort study of US families highlighted pandemic-related burdens faced by families with lower socioeconomic status and young children. Populations more vulnerable to public health crises should be prioritized in recovery efforts and future planning.
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Affiliation(s)
- Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
- Department of Population Health, New York University Grossman School of Medicine, New York
| | - Andrew Law
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Traci A. Bekelman
- Department of Epidemiology, Lifecourse Epidemiology of Adiposity & Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Jessica A. Arizaga
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Alexis A. Sullivan
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Lebanon, New Hampshire
| | | | | | - Kecia N. Carroll
- Jack and Lucy Clark Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | | | - Amy E. Margolis
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | | | - Jose F. Cordero
- Department of Epidemiology & Biostatistics, College of Public Health, University of Georgia, Athens
| | - Anne Marie Singh
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Christine M. Seroogy
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Daniel J. Jackson
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | - Robert A. Wood
- Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Young Shin Kim
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco
| | - Cristiane S. Duarte
- Columbia University Irving Medical Center, New York State Psychiatric Institute, New York
| | - Julie B. Schweitzer
- Department of Psychiatry and Behavioral Sciences, University of California, Davis, Sacramento
- The MIND Institute, University of California, Davis, Sacramento
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women & Infants Hospital, Providence, Rhode Island
| | - Cynthia T. McEvoy
- Department of Pediatrics, Oregon Health and Science University School of Medicine, Portland
| | - Thomas G. O’Connor
- Department of Psychiatry, University of Rochester Medical Center, Rochester, New York
| | - Emily Oken
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Nicole Bornkamp
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Eric D. Brown
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill
| | - Christina A. Porucznik
- Department of Family & Preventive Medicine, University of Utah School of Medicine, Salt Lake City
| | | | | | - Qi Zhao
- Department of Preventive Medicine, University of Tennessee Health Science Center, Memphis
| | - Jody M. Ganiban
- Department of Psychological & Brain Sciences, Columbian College of Arts & Sciences, George Washington University, Washington, DC
| | - Lisa P. Jacobson
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
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22
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Martenies SE, Zhang M, Corrigan AE, Kvit A, Shields T, Wheaton W, Around Him D, Aschner J, Talavera-Barber MM, Barrett ES, Bastain TM, Bendixsen C, Breton CV, Bush NR, Cacho F, Camargo CA, Carroll KN, Carter BS, Cassidy-Bushrow AE, Cowell W, Croen LA, Dabelea D, Duarte CS, Dunlop AL, Everson TM, Habre R, Hartert TV, Helderman JB, Hipwell AE, Karagas MR, Lester BM, LeWinn KZ, Magzamen S, Morello-Frosch R, O’Connor TG, Padula AM, Petriello M, Sathyanarayana S, Stanford JB, Woodruff TJ, Wright RJ, Kress AM. Developing a National-Scale Exposure Index for Combined Environmental Hazards and Social Stressors and Applications to the Environmental Influences on Child Health Outcomes (ECHO) Cohort. Int J Environ Res Public Health 2023; 20:6339. [PMID: 37510572 PMCID: PMC10379099 DOI: 10.3390/ijerph20146339] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/12/2023] [Accepted: 06/27/2023] [Indexed: 07/30/2023]
Abstract
Tools for assessing multiple exposures across several domains (e.g., physical, chemical, and social) are of growing importance in social and environmental epidemiology because of their value in uncovering disparities and their impact on health outcomes. Here we describe work done within the Environmental influences on Child Health Outcomes (ECHO)-wide Cohort Study to build a combined exposure index. Our index considered both environmental hazards and social stressors simultaneously with national coverage for a 10-year period. Our goal was to build this index and demonstrate its utility for assessing differences in exposure for pregnancies enrolled in the ECHO-wide Cohort Study. Our unitless combined exposure index, which collapses census-tract level data into a single relative measure of exposure ranging from 0-1 (where higher values indicate higher exposure to hazards), includes indicators for major air pollutants and air toxics, features of the built environment, traffic exposures, and social determinants of health (e.g., lower educational attainment) drawn from existing data sources. We observed temporal and geographic variations in index values, with exposures being highest among participants living in the West and Northeast regions. Pregnant people who identified as Black or Hispanic (of any race) were at higher risk of living in a "high" exposure census tract (defined as an index value above 0.5) relative to those who identified as White or non-Hispanic. Index values were also higher for pregnant people with lower educational attainment. Several recommendations follow from our work, including that environmental and social stressor datasets with higher spatial and temporal resolutions are needed to ensure index-based tools fully capture the total environmental context.
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Affiliation(s)
- Sheena E. Martenies
- Department of Kinesiology and Community Health, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA
| | - Mingyu Zhang
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anne E. Corrigan
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Anton Kvit
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - Timothy Shields
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
| | - William Wheaton
- Research Triangle Institute, Research Triangle Park, NC 27709, USA
| | | | - Judy Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY 10461, USA
| | | | - Emily S. Barrett
- Department of Biostatistics and Epidemiology, Rutgers School of Public Health, Piscataway, NJ 08854, USA
| | - Theresa M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | | | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Nicole R. Bush
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA 94143, USA
| | - Ferdinand Cacho
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN 37232, USA
| | - Carlos A. Camargo
- Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Kecia N. Carroll
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO 64108, USA
| | | | - Whitney Cowell
- Department of Pediatrics, New York University Grossman School of Medicine, New York, NY 10016, USA
| | - Lisa A. Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA 94612, USA;
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Cristiane S. Duarte
- New York State Psychiatric Institute, Columbia University, New York, NY 10032, USA
| | - Anne L. Dunlop
- Department of Obstetrics and Gynecology, Emory University School of Medicine, Atlanta, GA 30322, USA
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
| | - Rima Habre
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA
| | - Tina V. Hartert
- Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN 37203, USA
| | - Jennifer B. Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC 27101, USA
| | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03756, USA
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Kaja Z. LeWinn
- Department of Psychiatry and Behavioral Sciences, University of California San Francisco, San Francisco, CA 94143, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
| | - Rachel Morello-Frosch
- Department of Environmental Science, Policy and Management and School of Public Health, University of California Berkeley, Berkeley, CA 94720, USA
| | - Thomas G. O’Connor
- Departments of Psychiatry, Psychology, Neuroscience, and Obstetrics and Gynecology, University of Rochester Medical Center, Rochester, NY 41642, USA
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Michael Petriello
- Institute of Environmental Health Sciences and Department of Pharmacology, Wayne State University, Detroit, MI 48202, USA
| | - Sheela Sathyanarayana
- Seattle Children’s Research Institute, Seattle, WA 98105, USA
- Department of Pediatrics, University of Washington, Seattle, WA 98195, USA
| | - Joseph B. Stanford
- Department of Pediatrics, Family and Preventive Medicine, University of Utah School of Medicine, Salt Lake City, UT 84132, USA
| | - Tracey J. Woodruff
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Francisco, San Francisco, CA 94158, USA
| | - Rosalind J. Wright
- Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Amii M. Kress
- Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD 21205, USA
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23
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Conradt E, McGrath M, Knapp E, Li X, Musci RJ, Mansolf M, Deoni S, Sathyanarayana S, Ondersma SJ, Lester BM. Prenatal Substance Exposure: Associations with Neurodevelopment in Middle Childhood. Am J Perinatol 2023:10.1055/a-2090-5293. [PMID: 37164319 PMCID: PMC10918491 DOI: 10.1055/a-2090-5293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/12/2023]
Abstract
OBJECTIVE Single-substance exposure effects on neurodevelopmental outcomes, such as problem behavior and intelligence quotient (IQ), have been studied in children for decades. However, the long-term consequences of polysubstance exposure are poorly understood. STUDY DESIGN Longitudinal neurodevelopmental data were gathered from cohorts across the United States through the Environmental Influences on Child Health Outcomes Program. Data on prenatal exposure to opioids, nicotine, marijuana, and alcohol were collected from children ages 6 to 11 years (N = 256). Problem behavior was assessed using the Child Behavior Checklist (school-age version), and verbal IQ (VIQ) and performance IQ (PIQ) were assessed using the Weschler Intelligence Scale for Children, Fifth Edition. We first identified latent profiles in the overall sample, then evaluated differences in profile membership for children with and without prenatal substance exposure. RESULTS Latent profile analysis identified two mutually exclusive categories: average VIQ and PIQ, with typical problem behavior, and below-average VIQ with average PIQ and clinically significant problem behavior. Children with prenatal nicotine and polysubstance exposures were more likely to be classified in the below-average VIQ, elevated problem behavior profile compared with children without prenatal nicotine exposure. CONCLUSION The presence of clinically significant behavior problems in children with average PIQ, but below-average VIQ, could represent a unique endophenotype related to prenatal nicotine exposure in the context of other prenatal substance exposures. KEY POINTS · The neurodevelopmental consequences of prenatal polysubstance exposure are poorly understood.. · Children with prenatal polysubstance exposure exhibited reduced IQ and elevated problem behavior.. · We found significant behavior problems in children with average PIQ and below-average VIQ.. · This may represent a unique endophenotype related to prenatal nicotine exposure..
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Affiliation(s)
- Elisabeth Conradt
- Departments of Psychiatry and Pediatrics, Duke University, Durham, North Carolina
| | - Monica McGrath
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Emily Knapp
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Xiuhong Li
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Rashelle J. Musci
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland
| | - Maxwell Mansolf
- Department of Psychology, University of California, Los Angeles, California
| | - Sean Deoni
- Memorial Hospital of Rhode Island, Pawtucket, Rhode Island
- Department of Pediatrics, Warren Alpert School of Medicine at Brown University, Providence, Rhode Island
| | - Sheela Sathyanarayana
- Center for Child Health, Behavior, and Development, Seattle Children’s Research Institute, Seattle, Washington
- Department of Pediatrics, University of Washington, Seattle, Washington
| | - Steven J. Ondersma
- Division of Public Health and Department of Obstetrics, Gynecology, and Reproductive Biology, College of Human Medicine, Michigan State University, Flint, Michigan
| | - Barry M. Lester
- Women and Infants Hospital of Rhode Island, Providence, Rhode Island
- Brown Center for the Study of Children at Risk, Women and Infants Hospital of Rhode Island, Providence, Rhode Island
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24
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Bekelman TA, Knapp EA, Dong Y, Dabelea D, Bastain TM, Breton CV, Carroll KN, Camargo CA, Davis AM, Dunlop AL, Elliott AJ, Ferrara A, Fry RC, Ganiban JM, Gilbert-Diamond D, Gilliland FD, Hedderson MM, Hipwell AE, Hockett CW, Huddleston KC, Karagas MR, Kelly N, Lai JS, Lester BM, Lucchini M, Melough MM, Mihalopoulos NL, O'Shea TM, Rundle AG, Stanford JB, VanBronkhorst S, Wright RJ, Zhao Q, Sauder KA. Sociodemographic Variation in Children's Health Behaviors During the COVID-19 Pandemic. Child Obes 2023; 19:226-238. [PMID: 35856858 PMCID: PMC10398734 DOI: 10.1089/chi.2022.0085] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Background: Societal changes during the COVID-19 pandemic may affect children's health behaviors and exacerbate disparities. This study aimed to describe children's health behaviors during the COVID-19 pandemic, how they vary by sociodemographic characteristics, and the extent to which parent coping strategies mitigate the impact of pandemic-related financial strain on these behaviors. Methods: This study used pooled data from 50 cohorts in the Environmental influences on Child Health Outcomes Program. Children or parent proxies reported sociodemographic characteristics, health behaviors, and parent coping strategies. Results: Of 3315 children aged 3-17 years, 49% were female and 57% were non-Hispanic white. Children of parents who reported food access as a source of stress were 35% less likely to engage in a higher level of physical activity. Children of parents who changed their work schedule to care for their children had 82 fewer min/day of screen time and 13 more min/day of sleep compared with children of parents who maintained their schedule. Parents changing their work schedule were also associated with a 31% lower odds of the child consuming sugar-sweetened beverages. Conclusions: Parents experiencing pandemic-related financial strain may need additional support to promote healthy behaviors. Understanding how changes in parent work schedules support shorter screen time and longer sleep duration can inform future interventions.
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Affiliation(s)
- Traci A. Bekelman
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Yanan Dong
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tracy M. Bastain
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Carrie V. Breton
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | - Kecia N. Carroll
- Department of Pediatrics, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA
| | - Ann M. Davis
- Department of Pediatrics, Center for Children's Healthy Lifestyles & Nutrition, University of Kansas Medical Center, Kansas City, KS, USA
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Amy J. Elliott
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Assiamira Ferrara
- Kaiser Permanente Northern California Division of Research, Oakland, CA, USA
| | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina-Chapel Hill, Chapel Hill, NC, USA
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, DC, USA
| | - Diane Gilbert-Diamond
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
| | | | - Alison E. Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Christine W. Hockett
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Sioux Falls, SD, USA
| | - Kathi C. Huddleston
- College of Health and Human Services, George Mason University, Fairfax, VA, USA
| | - Margaret R. Karagas
- Department of Epidemiology, Medicine and Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, NH, USA
| | - Nichole Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene, OR, USA
| | - Jin-Shei Lai
- Department of Medical Social Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Barry M. Lester
- Departments of Pediatrics and Psychiatry, Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Maristella Lucchini
- Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA
| | - Melissa M. Melough
- Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, USA
| | | | - T. Michael O'Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Andrew G. Rundle
- Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Joseph B. Stanford
- Department of Family and Preventive Medicine, University of Utah, Salt Lake City, UT, USA
| | - Sara VanBronkhorst
- Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, Columbia University Medical Center, New York, NY, USA
| | - Rosalind J. Wright
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Qi Zhao
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Katherine A. Sauder
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Hofheimer JA, McGowan EC, Smith LM, Meltzer-Brody S, Carter BS, Dansereau LM, Pastyrnak S, Helderman JB, Neal CR, DellaGrotta SA, O'Shea TMD, Lester BM. Risk Factors for Postpartum Depression and Severe Distress among Mothers of Very Preterm Infants at NICU Discharge. Am J Perinatol 2023. [PMID: 37072014 DOI: 10.1055/s-0043-1768132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/20/2023]
Abstract
OBJECTIVE To identify psychological, medical, and socioenvironmental risk factors for maternal postpartum depression (PPD) and severe psychological distress (SPD) at intensive care nursery discharge among mothers of very preterm infants. STUDY DESIGN We studied 562 self-identified mothers of 641 infants born <30 weeks who were enrolled in the Neonatal Neurobehavior and Outcomes in Very Preterm Infants Study (NOVI) conducted in nine university-affiliated intensive care nurseries. Enrollment interviews collected socioenvironmental data, depression, and anxiety diagnoses prior to and during the study pregnancy. Standardized medical record reviews ascertained prenatal substance use, maternal and neonatal medical complications. The Edinburgh Postnatal Depression Scale and Brief Symptom Inventory were administered at nursery discharge to screen for PPD and SPD symptoms, respectively. RESULTS Unadjusted analyses indicated mothers with positive screens for depression (n = 76, 13.5%) or severe distress (n = 102, 18.1%) had more prevalent prepregnancy/prenatal depression/anxiety, and their infants were born at younger gestational ages, with more prevalent bronchopulmonary dysplasia, and discharge after 40 weeks postmenstrual age. In multivariable analyses, prior depression or anxiety was associated with positive screens for PPD (risk ratio [RR]: 1.6, 95% confidence interval [CI]: 1.1-2.2) and severe distress (RR: 1.6, 95% CI: 1.1-2.2). Mothers of male infants had more prevalent depression risk (RR: 1.7, 95% CI: 1.1-2.4), and prenatal marijuana use was associated with severe distress risk (RR: 1.9, 95% CI: 1.1-2.9). Socioenvironmental and obstetric adversities were not significant after accounting for prior depression/anxiety, marijuana use, and infant medical complications. CONCLUSION Among mothers of very preterm newborns, these multicenter findings extend others' previous work by identifying additional indicators of risk for PPD and SPD associated with a history of depression, anxiety, prenatal marijuana use, and severe neonatal illness. Findings could inform designs for continuous screening and targeted interventions for PPD and distress risk indicators from the preconception period onward. KEY POINTS · Preconceptional and prenatal screening for postpartum depression and severe distress may inform care.. · Prior depression, anxiety, and neonatal complications predicted severe distress and depression symptoms at NICU discharge.. · Readily identifiable risk factors warrant continuous NICU screening and targeted interventions to improve outcomes..
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Affiliation(s)
- Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Elisabeth C McGowan
- Department of Pediatrics, Women and Infant's Hospital/Brown University, Providence, Rhode Island
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, California
| | - Samantha Meltzer-Brody
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Brian S Carter
- Department of Pediatrics, Department of Medical Humanities and Bioethics, University of Missouri-Kansas City, School of Medicine, Kansas City, Missouri
| | - Lynne M Dansereau
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Steven Pastyrnak
- Department of Pediatrics, Spectrum Health Helen DeVos Children's Hospital/Michigan State University, Grand Rapids, Michigan
| | - Jennifer B Helderman
- Department of Pediatrics, Wake Forest University School of Medicine, Winston Salem, North Carolina
| | - Charles R Neal
- Division of Neonatology, Department of Pediatrics, Kapi'olani Medical Center for Women and Children and Hawaii Pacific Medical Group, University of Hawaii John A Burns School of Medicine, Honolulu, Hawaii
| | - Sheri A DellaGrotta
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Thomas Michael D O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina
| | - Barry M Lester
- Departments of Pediatrics, Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
- Department of Psychiatry and Human Behavior, Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
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McGowan EC, McGrath M, Law A, O’Shea TM, Aschner JL, Blackwell CK, Fry RC, Ganiban JM, Higgins R, Margolis A, Sathyanarayana S, Taylor G, Alshawabkeh AN, Cordero JF, Spillane NT, Hudak ML, Camargo CA, Dabelea D, Dunlop AL, Elliott AJ, Ferrara AM, Talavera-Barber M, Singh AM, Karagas MR, Karr C, O’Connor TG, Paneth N, Wright RJ, Wright RO, Cowell W, Stanford JB, Bendixsen C, Lester BM. Health Care Utilization During the COVID-19 Pandemic Among Individuals Born Preterm. JAMA Netw Open 2023; 6:e2310696. [PMID: 37115545 PMCID: PMC10148204 DOI: 10.1001/jamanetworkopen.2023.10696] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/16/2023] [Indexed: 04/29/2023] Open
Abstract
Importance Limited data exist on pediatric health care utilization during the COVID-19 pandemic among children and young adults born preterm. Objective To investigate differences in health care use related to COVID-19 concerns during the pandemic among children and young adults born preterm vs those born at term. Design, Setting, and Participants In this cohort study, questionnaires regarding COVID-19 and health care utilization were completed by 1691 mother-offspring pairs from 42 pediatric cohorts in the National Institutes of Health Environmental Influences on Child Health Outcomes Program. Children and young adults (ages 1-18 years) in these analyses were born between 2003 and 2021. Data were recorded by the August 31, 2021, data-lock date and were analyzed between October 2021 and October 2022. Exposures Premature birth (<37 weeks' gestation). Main Outcomes and Measures The main outcome was health care utilization related to COVID-19 concerns (hospitalization, in-person clinic or emergency department visit, phone or telehealth evaluations). Individuals born preterm vs term (≥37 weeks' gestation) and differences among preterm subgroups of individuals (<28 weeks', 28-36 weeks' vs ≥37 weeks' gestation) were assessed. Generalized estimating equations assessed population odds for health care used and related symptoms, controlling for maternal age, education, and psychiatric disorder; offspring history of bronchopulmonary dysplasia (BPD) or asthma; and timing and age at COVID-19 questionnaire completion. Results Data from 1691 children and young adults were analyzed; among 270 individuals born preterm, the mean (SD) age at survey completion was 8.8 (4.4) years, 151 (55.9%) were male, and 193 (71.5%) had a history of BPD or asthma diagnosis. Among 1421 comparison individuals with term birth, the mean (SD) age at survey completion was 8.4 (2.4) years, 749 (52.7%) were male, and 233 (16.4%) had a history of BPD or asthma. Preterm subgroups included 159 individuals (58.5%) born at less than 28 weeks' gestation. In adjusted analyses, individuals born preterm had a significantly higher odds of health care utilization related to COVID-19 concerns (adjusted odds ratio [aOR], 1.70; 95% CI, 1.21-2.38) compared with term-born individuals; similar differences were also seen for the subgroup of individuals born at less than 28 weeks' gestation (aOR, 2.15; 95% CI, 1.40-3.29). Maternal history of a psychiatric disorder was a significant covariate associated with health care utilization for all individuals (aOR, 1.44; 95% CI, 1.17-1.78). Conclusions and Relevance These findings suggest that during the COVID-19 pandemic, children and young adults born preterm were more likely to have used health care related to COVID-19 concerns compared with their term-born peers, independent of a history of BPD or asthma. Further exploration of factors associated with COVID-19-related health care use may facilitate refinement of care models.
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Affiliation(s)
- Elisabeth C. McGowan
- The Warren Alpert School of Medicine, Brown University, Providence, Rhode Island
| | - Monica McGrath
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | - Andrew Law
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland
| | | | - Judy L. Aschner
- Albert Einstein College of Medicine, New York, New York
- Hackensack University Medical Center and Hackensack Meridian School of Medicine, Hackensack, New Jersey
| | | | - Rebecca C. Fry
- The University of North Carolina at Chapel Hill, Chapel Hill
| | - Jody M. Ganiban
- George Washington University, Washington, District of Columbia
| | - Rosemary Higgins
- Department of Global and Community Health, College of Health and Human Sciences, George Mason University, Fort Myers, Florida
- Marieb College of Health and Human Services, Florida Gulf Coast University, Fort Myers
| | - Amy Margolis
- Columbia University Irving Medical Center, New York, New York
| | - Sheela Sathyanarayana
- University of Washington, Seattle
- Seattle Children’s Research Institute, Seattle, Washington
| | | | | | - José F. Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens
| | - Nicole T. Spillane
- Hackensack University Medical Center and Hackensack Meridian School of Medicine, Hackensack, New Jersey
| | - Mark L. Hudak
- Department of Pediatrics, University of Florida College of Medicine, Jacksonville
| | | | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes Center, University of Colorado Anschutz Medical Campus, Aurora
| | | | | | | | - Maria Talavera-Barber
- Avera McKennan Hospital, Sioux Falls, South Dakota
- University Health Center, Avera Research Institute, Sioux Falls, South Dakota
| | - Anne Marie Singh
- Department of Pediatrics, University of Wisconsin School of Medicine and Public Health, Madison
| | | | - Catherine Karr
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle
| | | | - Nigel Paneth
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing
- Department of Food Science and Human Nutrition, Michigan State University, East Lansing
| | - Rosalind J. Wright
- Institute for Exposomic Research, Icahn School of Medicine Mount Sinai, New York, New York
| | - Robert O. Wright
- Institute for Exposomic Research, Icahn School of Medicine Mount Sinai, New York, New York
| | - Whitney Cowell
- Department of Pediatrics, NYU Grossman School of Medicine, New York, New York
| | | | - Casper Bendixsen
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, Wisconsin
| | - Barry M. Lester
- The Warren Alpert School of Medicine, Brown University, Providence, Rhode Island
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Bibi S, Gaddis N, Johnson EO, Lester BM, Kraft W, Singh R, Terrin N, Adeniyi-Jones S, Davis JM. Polygenic risk scores and the need for pharmacotherapy in neonatal abstinence syndrome. Pediatr Res 2023; 93:1368-1374. [PMID: 35974158 PMCID: PMC9931940 DOI: 10.1038/s41390-022-02243-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2022] [Revised: 06/09/2022] [Accepted: 07/24/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND The aim of this study was to identify genetic variants associated with NAS through a genome-wide association study (GWAS) and estimate a Polygenic Risk Score (PRS) model for NAS. METHODS A prospective case-control study included 476 in utero opioid-exposed term neonates. A GWAS of 1000 genomes-imputed genotypes was performed to identify variants associated with need for pharmacotherapy for NAS. PRS models for estimating genetic predisposition were generated via a nested cross-validation approach using 382 neonates of European ancestry. PRS predictive ability, discrimination, and calibration were assessed. RESULTS Cross-ancestry GWAS identified one intergenic locus on chromosome 7 downstream of SNX13 exhibiting genome-wide association with need for pharmacotherapy. PRS models derived from the GWAS for a subset of the European ancestry neonates reliably discriminated between need for pharmacotherapy using cis variant effect sizes within validation sets of European and African American ancestry neonates. PRS were less effective when applying variant effect sizes across datasets and in calibration analyses. CONCLUSIONS GWAS has the potential to identify genetic loci associated with need for pharmacotherapy for NAS and enable development of clinically predictive PRS models. Larger GWAS with additional ancestries are needed to confirm the observed SNX13 association and the accuracy of PRS in NAS risk prediction models. IMPACT Genetic associations appear to be important in neonatal abstinence syndrome. This is the first genome-wide association in neonates with neonatal abstinence syndrome. Polygenic risk scores can be developed examining single-nucleotide polymorphisms across the entire genome. Polygenic risk scores were higher in neonates receiving pharmacotherapy for treatment of their neonatal abstinence syndrome. Future studies with larger cohorts are needed to better delineate these genetic associations.
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Affiliation(s)
- Shawana Bibi
- Division of Newborn Medicine, Tufts Medical Center, Boston, MA, USA
| | | | | | - Barry M Lester
- Department of Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital, Providence, RI, USA
| | - Walter Kraft
- Division of Clinical Pharmacology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Rachana Singh
- Division of Newborn Medicine, Tufts Medical Center, Boston, MA, USA
| | - Norma Terrin
- Tufts Clinical and Translational Science Institute, Tufts School of Graduate Biomedical Sciences, Boston, MA, USA
| | - Susan Adeniyi-Jones
- Department of Pediatrics, Thomas Jefferson University, Philadelphia, PA, USA
| | - Jonathan M Davis
- Division of Newborn Medicine, Tufts Medical Center, Boston, MA, USA.
- Tufts Clinical and Translational Science Institute, Tufts School of Graduate Biomedical Sciences, Boston, MA, USA.
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28
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Conradt E, Camerota M, Maylott S, Lester BM. Annual Research Review: Prenatal opioid exposure - a two-generation approach to conceptualizing neurodevelopmental outcomes. J Child Psychol Psychiatry 2023; 64:566-578. [PMID: 36751734 DOI: 10.1111/jcpp.13761] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/20/2023] [Indexed: 02/09/2023]
Abstract
Opioid use during pregnancy impacts the health and well-being of two generations: the pregnant person and the child. The factors that increase risk for opioid use in the adult, as well as those that perpetuate risk for the caregiver and child, oftentimes replicate across generations and may be more likely to affect child neurodevelopment than the opioid exposure itself. In this article, we review the prenatal opioid exposure literature with the perspective that this is not a singular event but an intergenerational cascade of events. We highlight several mechanisms of transmission across generations: biological factors, including genetics and epigenetics and the gut-brain axis; parent-child mechanisms, such as prepregnancy experience of child maltreatment, quality of parenting, infant behaviors, neonatal opioid withdrawal diagnosis, and broader environmental contributors including poverty, violence exposure, stigma, and Child Protective Services involvement. We conclude by describing ways in which intergenerational transmission can be disrupted by early intervention.
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Affiliation(s)
- Elisabeth Conradt
- Department of Psychiatry, Duke University, Durham, NC, USA.,Department of Pediatrics, Duke University, Durham, NC, USA
| | - Marie Camerota
- Brown Center for the Study of Children at Risk, Department of Psychiatry and Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital of Rhode Island, Providence, RI, USA
| | - Sarah Maylott
- Department of Psychiatry, Duke University, Durham, NC, USA
| | - Barry M Lester
- Brown Center for the Study of Children at Risk, Department of Psychiatry and Pediatrics, Alpert Medical School of Brown University and Women and Infants Hospital of Rhode Island, Providence, RI, USA
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29
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Brennan PA, Dunlop AL, Croen LA, Avalos LA, Salisbury AL, Hipwell AE, Nozadi SS, Sathyanarayana S, Crum RM, Musci R, Li M, Li X, Mansolf M, O'Connor TG, Elliott AJ, Ghildayal N, Lin PID, Sprowles JLN, Stanford JB, Bendixsen C, Ozonoff S, Lester BM, Shuster CL, Huddleston KC, Posner J, Paneth N. Prenatal Antidepressant Exposures and Autism Spectrum Disorder or Traits: A Retrospective, Multi-Cohort Study. Res Child Adolesc Psychopathol 2023; 51:513-527. [PMID: 36417100 PMCID: PMC10150657 DOI: 10.1007/s10802-022-01000-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2022] [Indexed: 11/24/2022]
Abstract
Prenatal antidepressant exposure has been associated with increased risk for neurodevelopmental disorders in childhood, including autism spectrum disorder (ASD). The current study utilized multi-cohort data from the Environmental influences on Child Health Outcomes (ECHO) program (N = 3129) to test for this association, and determine whether the association remained after adjusting for maternal prenatal depression and other potential confounders. Antidepressants and a subset of selective serotonin reuptake inhibitors (SSRIs) were examined in relation to binary (e.g., diagnostic) and continuous measures of ASD and ASD related traits (e.g., social difficulties, behavior problems) in children 1.5 to 12 years of age. Child sex was tested as an effect modifier. While prenatal antidepressant exposure was associated with ASD related traits in univariate analyses, these associations were statistically non-significant in models that adjusted for prenatal maternal depression and other maternal and child characteristics. Sex assigned at birth was not an effect modifier for the prenatal antidepressant and child ASD relationship. Overall, we found no association between prenatal antidepressant exposures and ASD diagnoses or traits. Discontinuation of antidepressants in pregnancy does not appear to be warranted on the basis of increased risk for offspring ASD.
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Affiliation(s)
- Patricia A Brennan
- Psychology Department, Emory University, 36 Eagle Row, 30322, Atlanta, GA, USA.
| | - Anne L Dunlop
- Department of Gynecology & Obstetrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Lisa A Croen
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Lyndsay A Avalos
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Amy L Salisbury
- Virginia Commonwealth University School of Nursing, Richmond, VA, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Sara S Nozadi
- Health Sciences Center University of New Mexico, Albuquerque, NM, USA
| | - Sheela Sathyanarayana
- Seattle Children's Research Institute, Seattle, WA, USA
- University of Washington, Seattle, WA, USA
| | - Rosa M Crum
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Rashelle Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Mingyi Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Xiuhong Li
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Maxwell Mansolf
- Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Thomas G O'Connor
- Departments of Psychiatry, Psychology, Neuroscience, and Obstetrics and Gynecology, University of Rochester, Rochester, NY, USA
| | - Amy J Elliott
- Avera Research Institute, Dept of Pediatrics, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - Nidhi Ghildayal
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Pi-I D Lin
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School, Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Jenna L N Sprowles
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana- Champaign, ICF, Urbana, Durham, IL, NC, USA
| | - Joseph B Stanford
- Department of Family and Preventive Medicine, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Casper Bendixsen
- Marshfield Clinic Research Institute, Marshfield Clinic Health System, Marshfield, WI, USA
| | - Sally Ozonoff
- Department of Psychiatry and Behavioral Sciences, MIND Institute, University of California Davis, Davis, CA, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI, USA
| | - Coral L Shuster
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI, USA
| | - Kathi C Huddleston
- College of Health and Human Services, George Mason University, Fairfax, VA, USA
| | - Jonathan Posner
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA
| | - Nigel Paneth
- Michigan State University, East Lansing, MI, USA
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30
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Chen J, Li H, Zhao T, Chen K, Chen MH, Sun Z, Xu W, Maas K, Lester BM, Cong XS. The Impact of Early Life Experiences and Gut Microbiota on Neurobehavioral Development in Preterm Infants: A Longitudinal Cohort Study. Microorganisms 2023; 11:microorganisms11030814. [PMID: 36985387 PMCID: PMC10056840 DOI: 10.3390/microorganisms11030814] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Revised: 03/11/2023] [Accepted: 03/16/2023] [Indexed: 03/30/2023] Open
Abstract
OBJECTIVES The objective of this study is to investigate the impact of early life experiences and gut microbiota on neurobehavioral development in preterm infants during neonatal intensive care unit (NICU) hospitalization. METHODS Preterm infants were followed from NICU admission until their 28th postnatal day or until discharge. Daily stool samples, painful/stressful experiences, feeding patterns, and other clinical and demographic data were collected. Gut microbiota was profiled using 16S rRNA sequencing, and operational taxonomic units (OTUs) were selected to predict the neurobehaviors. The neurobehavioral development was assessed by the Neonatal Neurobehavioral Scale (NNNS) at 36 to 38 weeks of post-menstrual age (PMA). Fifty-five infants who had NNNS measurements were included in the sparse log-contrast regression analysis. RESULTS Preterm infants who experienced a high level of pain/stress during the NICU hospitalization had higher NNNS stress/abstinence scores. Eight operational taxonomic units (OTUs) were identified to be associated with NNNS subscales after controlling demographic and clinical features, feeding patterns, and painful/stressful experiences. These OTUs and taxa belonging to seven genera, i.e., Enterobacteriaceae_unclassified, Escherichia-Shigella, Incertae_Sedis, Veillonella, Enterococcus, Clostridium_sensu_stricto_1, and Streptococcus with five belonging to Firmicutes and two belonging to Proteobacteria phylum. The enriched abundance of Enterobacteriaceae_unclassified (OTU17) and Streptococcus (OTU28) were consistently associated with less optimal neurobehavioral outcomes. The other six OTUs were also associated with infant neurobehavioral responses depending on days at NICU stay. CONCLUSIONS This study explored the dynamic impact of specific OTUs on neurobehavioral development in preterm infants after controlling for early life experiences, i.e., acute and chronic pain/stress and feeding in the NICU. The gut microbiota and acute pain/stressful experiences dynamically impact the neurobehavioral development in preterm infants during their NICU hospitalization.
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Affiliation(s)
- Jie Chen
- College of Nursing, Florida State University, Tallahassee, FL 32306, USA
- School of Nursing, University of Connecticut, Storrs, CT 06269, USA
| | - Hongfei Li
- Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
| | - Tingting Zhao
- School of Nursing, University of Connecticut, Storrs, CT 06269, USA
- School of Nursing, Yale University, Orange, CT 06477, USA
| | - Kun Chen
- Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
| | - Ming-Hui Chen
- Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
| | - Zhe Sun
- Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
- Department of Biostatistics, School of Public Health, Yale University, New Haven, CT 06520, USA
| | - Wanli Xu
- School of Nursing, University of Connecticut, Storrs, CT 06269, USA
| | - Kendra Maas
- Microbial Analysis, Resources, and Services (MARS), University of Connecticut, Storrs, CT 06269, USA
| | - Barry M Lester
- Brown Center for the Study of Children at Risk, Departments of Psychiatry and Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI 02903, USA
| | - Xiaomei S Cong
- School of Nursing, University of Connecticut, Storrs, CT 06269, USA
- School of Nursing, Yale University, Orange, CT 06477, USA
- Institute for Systems Genomics, University of Connecticut, Farmington, CT 06030, USA
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31
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Martin M, Smith L, Hofheimer JA, McGowan EC, O'Shea TM, Pastyrnak S, Carter BS, Helderman J, Check J, Neal C, Roberts MB, Dansereau LM, Della Grotta SA, Lester BM. Bronchopulmonary dysplasia and neurobehavioural outcomes at birth and 2 years in infants born before 30 weeks. Arch Dis Child Fetal Neonatal Ed 2023; 108:142-148. [PMID: 35999044 PMCID: PMC9947192 DOI: 10.1136/archdischild-2021-323405] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 08/02/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE To identify neurobehavioural risks in preterm infants with bronchopulmonary dysplasia (BPD) prior to hospital discharge. DESIGN AND PATIENTS Longitudinal study of 676 newborns born before 30 weeks of gestation. SETTING Nine university NICUs affiliated with six universities. All were Vermont Oxford Network (VON) participants. PATIENTS AND INTERVENTIONS Infants were enrolled in the Neonatal Neurobehavior and Outcomes in Very Preterm Infants Study from April 2014 to June 2016. Prospective medical record reviews, VON definitions and criteria, and maternal interviews were used to collect maternal and neonatal medical variables and socioenvironmental data. MAIN OUTCOME MEASURES NICU Network Neurobehavioral Scale (NNNS) at the time of hospital discharge; Bayley Scales of Infant and Toddler Development, Third Edition (Bayley-III) and Gross Motor Function Classification System at 2 years' corrected age. RESULTS Infants with moderate/severe BPD were less attentive (Wald χ2 9.68, p=0.008), more lethargic (Wald χ2 9.91, p=0.007), with increased non-optimal reflexes (Wald χ2 7.37, p=0.025). Infants with moderate/severe BPD were more likely to have Bayley-III language and motor scores <85 (adjusted OR (aOR) 1.74, 95% CI 1.06 to 2.85, and aOR 2.06, 95% CI 1.10 to 3.85). Infants with both moderate/severe and mild BPD were more likely to have a cerebral palsy diagnosis (aOR 2.96, 95% CI 1.34 to 6.54, and aOR 2.81, 95% CI 1.32 to 5.99). CONCLUSIONS BPD severity presents risks for poor neurodevelopment at NICU discharge and at age 2 years. Early identification of poorly regulated behaviour can provide critical information for early preventive and targeted interventions with potential to improve long-term outcomes.
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Affiliation(s)
- Monika Martin
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Lynne Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Elisabeth C McGowan
- Department of Pediatrics, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Steve Pastyrnak
- Department of Pediatrics, Helen DeVos Children's Hospital, Grand Rapids, Michigan, USA
| | - Brian Scott Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, Missouri, USA
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Charles Neal
- Department of Pediatrics, University of Hawai'i at Mānoa John A Burns School of Medicine, Honolulu, Hawaii, USA
| | - Mary B Roberts
- Center for Primary Care and Prevention, Care New England Health System, Providence, Rhode Island, USA
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
- Brown Center for the Study of Children at Risk, Providence, Rhode Island, USA
| | - Sheri A Della Grotta
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
- Brown Center for the Study of Children at Risk, Providence, Rhode Island, USA
| | - Barry M Lester
- Department of Pediatrics, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
- Brown Center for the Study of Children at Risk, Providence, Rhode Island, USA
- Department of Psychiatry and Human Behavior, Brown University Warren Alpert Medical School, Providence, Rhode Island, USA
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Nguyen RH, Knapp EA, Li X, Camargo CA, Conradt E, Cowell W, Derefinko KJ, Elliott AJ, Friedman AM, Khurana Hershey GK, Hofheimer JA, Lester BM, McEvoy CT, Neiderhiser JM, Oken E, Ondersma SJ, Sathyanarayana S, Stabler ME, Stroustrup A, Tung I, McGrath M. Characteristics of Individuals in the United States Who Used Opioids During Pregnancy. J Womens Health (Larchmt) 2023; 32:161-170. [PMID: 36350685 PMCID: PMC9940795 DOI: 10.1089/jwh.2022.0118] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Background: Opioid use has disproportionally impacted pregnant people and their fetuses. Previous studies describing opioid use among pregnant people are limited by geographic location, type of medical coverage, and small sample size. We described characteristics of a large, diverse group of pregnant people who were enrolled in the Environmental Influences on Child Health Outcomes (ECHO) Program, and determined which characteristics were associated with opioid use during pregnancy. Materials and Methods: Cross-sectional data obtained from 21,905 pregnancies of individuals across the United States enrolled in the ECHO between 1990 and 2021 were analyzed. Medical records, laboratory testing, and self-report were used to determine opioid-exposed pregnancies. Multiple imputation methods using fully conditional specification with a discriminant function accounted for missing characteristics data. Results: Opioid use was present in 2.8% (n = 591) of pregnancies. The majority of people who used opioids in pregnancy were non-Hispanic White (67%) and had at least some college education (69%). Those who used opioids reported high rates of alcohol use (32%) and tobacco use (39%) during the pregnancy; although data were incomplete, only 5% reported heroin use and 86% of opioid use originated from a prescription. After adjustment, non-Hispanic White race, pregnancy during the years 2010-2012, higher parity, tobacco use, and use of illegal drugs during pregnancy were each significantly associated with opioid use during pregnancy. In addition, maternal depression was associated with increased odds of opioid use during pregnancy by more than two-fold (adjusted odds ratio 2.42, 95% confidence interval: 1.95-3.01). Conclusions: In this large study of pregnancies from across the United States, we found several factors that were associated with opioid use among pregnant people. Further studies examining screening for depression and polysubstance use may be useful for targeted interventions to prevent detrimental opioid use during pregnancy, while further elucidation of the reasons for use of prescription opioids during pregnancy should be further explored.
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Affiliation(s)
- Ruby H.N. Nguyen
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Emily A. Knapp
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
| | - Xiuhong Li
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
| | - Carlos A. Camargo
- Department of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Elisabeth Conradt
- Department of Psychology, Pediatrics, Obstetrics/Gynecology, University of Utah, Salt Lake City, Utah, USA
| | - Whitney Cowell
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mt. Sinai, New York, New York, USA
| | - Karen J. Derefinko
- Department of Preventative Medicine and Pharmacology, Addictive Science, and Toxicology, University of Tennessee, Memphis, Tennessee, USA
| | - Amy J. Elliott
- Department of Pediatrics, Avera Research Institute, School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
| | - Alexander M. Friedman
- Department of Obstetrics and Gynecology, School of Medicine, Columbia University, New York, New York, USA
| | - Gurjit K. Khurana Hershey
- Division of Asthma Research, Department of Pediatrics, Cincinnati Children's Hospital, University of Cincinnati, Cincinnati, Ohio, USA
| | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
| | - Barry M. Lester
- Department of Psychiatry and Pediatrics, Center for the Study of Children at Risk, Alpert Medical School of Brown University and Women and Infants Hospital of Rhode Island, Providence, Rhode Island, USA
| | - Cindy T. McEvoy
- Department of Pediatrics, Oregon Health and Science University, Portland, Oregon, USA
| | - Jenae M. Neiderhiser
- Department of Psychology, Penn State University, University Park, Pennsylvania, USA
| | - Emily Oken
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA
| | - Steven J. Ondersma
- Division of Public Health, Department of Obstetrics, Gynecology, and Reproductive Sciences, Michigan State University, Flint, Michigan, USA
| | - Sheela Sathyanarayana
- Department of Pediatrics, University of Washington, Seattle Children's Research Institute, Seattle, Washington, USA
| | - Meagan E. Stabler
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire, USA
| | - Annemarie Stroustrup
- Department of Pediatrics and Occupational Medicine, Epidemiology and Prevention, Zucker School of Medicine at Hofstra/Northwell, Hempstead, New York, USA
| | - Irene Tung
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Monica McGrath
- Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, Maryland, USA
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33
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Manigault AW, Sheinkopf SJ, Carter BS, Check J, Helderman J, Hofheimer JA, McGowan EC, Neal CR, O’Shea M, Pastyrnak S, Smith LM, Everson TM, Marsit CJ, Dansereau LM, DellaGrotta SA, Lester BM. Acoustic Cry Characteristics in Preterm Infants and Developmental and Behavioral Outcomes at 2 Years of Age. JAMA Netw Open 2023; 6:e2254151. [PMID: 36723941 PMCID: PMC9892956 DOI: 10.1001/jamanetworkopen.2022.54151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023] Open
Abstract
IMPORTANCE Acoustic cry characteristics have been associated with severe medical problems in newborns. However, little is known about the utility of neonatal acoustic cry characteristics in the prediction of long-term outcomes of very preterm infants. OBJECTIVES To evaluate whether acoustic characteristics of infant cry at neonatal intensive care unit (NICU) discharge are associated with behavioral and developmental outcomes at age 2 years in infants born very preterm. DESIGN, SETTING, AND PARTICIPANTS Infants born less than 30 weeks postmenstrual age (PMA) were enrolled from April 2014 through June 2016 as part of a multicenter (9 US university affiliated NICUs) cohort study and followed to adjusted age 2 years. Reported analyses began on September 2021. Data were analyzed from September 2021 to September 2022. EXPOSURES The primary exposure was premature birth (<30 weeks PMA). MAIN OUTCOMES AND MEASURES Cries were recorded during a neurobehavioral examination administered during the week of NICU discharge. Cry episodes were analyzed using a previously published computerized system to characterize cry acoustics. Year-2 outcomes included the Bayley-III Composite scores, Child Behavior Checklist (CBCL) and the Modified Checklist for Autism in Toddlers (M-CHAT R/F), dichotomized using clinically significant cutoffs (<85 on Bayley Language, Cognitive and/or Motor Composite scores, T-score >63 on the CBCL Internalizing, Externalizing and/or Total Problem Scales and total M-CHAT R/F score >2). RESULTS Analyzed infants (363 participants) were primarily male (202 participants [55.65%]) and had a mean [SD] gestational age of 27.08 [1.95] weeks). Cross-validated random forest models revealed that cry acoustics were associated with 2-year outcomes. Tests of diagnostic odds ratios (DOR) revealed that infants who exhibited total problem behavior CBCL scores greater than 63 at age 2 years were 3.3 times more likely (95% CI, 1.44-7.49) to be identified as so by random forest model estimates relative to other infants (scores ≤63); this association was robust to adjustment for family-wise type-I error rates and covariate measures. Similar associations were observed for internalizing (DOR, 2.39; 95% CI, 1.04-5.47) and externalizing (DOR, 2.25; 95% CI, 1.12-4.54) scores on the CBCL, clinically significant language (DOR, 1.71; 95% CI, 1.10-2.67) and cognitive (DOR, 1.70; 95% CI, 1.00-2.88) scores on the Bayley-III, and a positive autism screen on the M-CHAT (DOR, 1.91; 95% CI, 1.05-3.44). CONCLUSIONS AND RELEVANCE In this cohort study of preterm infants, findings pointed to the potential use of acoustic cry characteristics in the early identification of risk for long-term developmental and behavioral deficits.
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Affiliation(s)
- Andrew W. Manigault
- Brown Center for the Study of Children at Risk, Women and Infants Hospital of Rhode Island, Providence
| | - Stephen J. Sheinkopf
- Thompson Center for Autism and Neurodevelopmental Disorders, University of Missouri, Columbia
| | | | - Jennifer Check
- Wake Forest School of Medicine, Winston-Salem, North Carolina
| | | | - Julie A. Hofheimer
- University of North Carolina Chapel Hill School of Medicine, Chapel Hill
| | - Elisabeth C. McGowan
- Departments of Psychiatry and Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island
| | - Charles R. Neal
- University of Hawaii John A Burns School of Medicine, Honolulu, Hawaii
| | - Michael O’Shea
- University of North Carolina Chapel Hill School of Medicine, Chapel Hill
| | | | - Lynne M. Smith
- Harbor-University of California, Los Angeles Medical Center, Torrance
| | - Todd M. Everson
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Carmen J. Marsit
- Rollins School of Public Health, Emory University, Atlanta, Georgia
| | - Lynne M. Dansereau
- Brown Center for the Study of Children at Risk, Women and Infants Hospital of Rhode Island, Providence
| | - Sheri A. DellaGrotta
- Brown Center for the Study of Children at Risk, Women and Infants Hospital of Rhode Island, Providence
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Women and Infants Hospital of Rhode Island, Providence
- Departments of Psychiatry and Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island
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Aris IM, Perng W, Dabelea D, Padula AM, Alshawabkeh A, Vélez-Vega CM, Aschner JL, Camargo CA, Sussman TJ, Dunlop AL, Elliott AJ, Ferrara A, Zhu Y, Joseph CLM, Singh AM, Hartert T, Cacho F, Karagas MR, North-Reid T, Lester BM, Kelly NR, Ganiban JM, Chu SH, O’Connor TG, Fry RC, Norman G, Trasande L, Restrepo B, James P, Oken E. Associations of Neighborhood Opportunity and Social Vulnerability With Trajectories of Childhood Body Mass Index and Obesity Among US Children. JAMA Netw Open 2022; 5:e2247957. [PMID: 36547983 PMCID: PMC9857328 DOI: 10.1001/jamanetworkopen.2022.47957] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 10/30/2022] [Indexed: 12/24/2022] Open
Abstract
Importance Physical and social neighborhood attributes may have implications for children's growth and development patterns. The extent to which these attributes are associated with body mass index (BMI) trajectories and obesity risk from childhood to adolescence remains understudied. Objective To examine associations of neighborhood-level measures of opportunity and social vulnerability with trajectories of BMI and obesity risk from birth to adolescence. Design, Setting, and Participants This cohort study used data from 54 cohorts (20 677 children) participating in the Environmental Influences on Child Health Outcomes (ECHO) program from January 1, 1995, to January 1, 2022. Participant inclusion required at least 1 geocoded residential address and anthropometric measure (taken at the same time or after the address date) from birth through adolescence. Data were analyzed from February 1 to June 30, 2022. Exposures Census tract-level Child Opportunity Index (COI) and Social Vulnerability Index (SVI) linked to geocoded residential addresses at birth and in infancy (age range, 0.5-1.5 years), early childhood (age range, 2.0-4.8 years), and mid-childhood (age range, 5.0-9.8 years). Main Outcomes and Measures BMI (calculated as weight in kilograms divided by length [if aged <2 years] or height in meters squared) and obesity (age- and sex-specific BMI ≥95th percentile). Based on nationwide distributions of the COI and SVI, Census tract rankings were grouped into 5 categories: very low (<20th percentile), low (20th percentile to <40th percentile), moderate (40th percentile to <60th percentile), high (60th percentile to <80th percentile), or very high (≥80th percentile) opportunity (COI) or vulnerability (SVI). Results Among 20 677 children, 10 747 (52.0%) were male; 12 463 of 20 105 (62.0%) were White, and 16 036 of 20 333 (78.9%) were non-Hispanic. (Some data for race and ethnicity were missing.) Overall, 29.9% of children in the ECHO program resided in areas with the most advantageous characteristics. For example, at birth, 26.7% of children lived in areas with very high COI, and 25.3% lived in areas with very low SVI; in mid-childhood, 30.6% lived in areas with very high COI and 28.4% lived in areas with very low SVI. Linear mixed-effects models revealed that at every life stage, children who resided in areas with higher COI (vs very low COI) had lower mean BMI trajectories and lower risk of obesity from childhood to adolescence, independent of family sociodemographic and prenatal characteristics. For example, among children with obesity at age 10 years, the risk ratio was 0.21 (95% CI, 0.12-0.34) for very high COI at birth, 0.31 (95% CI, 0.20-0.51) for high COI at birth, 0.46 (95% CI, 0.28-0.74) for moderate COI at birth, and 0.53 (95% CI, 0.32-0.86) for low COI at birth. Similar patterns of findings were observed for children who resided in areas with lower SVI (vs very high SVI). For example, among children with obesity at age 10 years, the risk ratio was 0.17 (95% CI, 0.10-0.30) for very low SVI at birth, 0.20 (95% CI, 0.11-0.35) for low SVI at birth, 0.42 (95% CI, 0.24-0.75) for moderate SVI at birth, and 0.43 (95% CI, 0.24-0.76) for high SVI at birth. For both indices, effect estimates for mean BMI difference and obesity risk were larger at an older age of outcome measurement. In addition, exposure to COI or SVI at birth was associated with the most substantial difference in subsequent mean BMI and risk of obesity compared with exposure at later life stages. Conclusions and Relevance In this cohort study, residing in higher-opportunity and lower-vulnerability neighborhoods in early life, especially at birth, was associated with a lower mean BMI trajectory and a lower risk of obesity from childhood to adolescence. Future research should clarify whether initiatives or policies that alter specific components of neighborhood environment would be beneficial in preventing excess weight in children.
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Affiliation(s)
- Izzuddin M. Aris
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
| | - Dana Dabelea
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, University of Colorado Anschutz Medical Campus, Aurora
- Department of Pediatrics, University of Colorado Anschutz Medical Campus, Aurora
| | - Amy M. Padula
- Department of Obstetrics, Gynecology and Reproductive Sciences, University of California, San Francisco, San Francisco
| | - Akram Alshawabkeh
- Department of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts
| | - Carmen M. Vélez-Vega
- UPR Medical Sciences Campus, University of Puerto Rico Graduate School of Public Health, San Juan
| | - Judy L. Aschner
- Department of Pediatrics, Hackensack Meridian School of Medicine, Nutley, New Jersey
- Department of Pediatrics, Albert Einstein College of Medicine, New York, New York
| | - Carlos A. Camargo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Emergency Medicine, Massachusetts General Hospital, Boston
| | - Tamara J. Sussman
- Department of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, New York
| | - Anne L. Dunlop
- Department of Gynecology and Obstetrics, Emory University School of Medicine, Atlanta, Georgia
| | - Amy J. Elliott
- Avera Research Institute, Sioux Falls, South Dakota
- Department of Pediatrics, University of South Dakota School of Medicine, Sioux Falls
| | - Assiamira Ferrara
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland
| | | | - Anne Marie Singh
- Division of Allergy, Immunology and Rheumatology, University of Wisconsin–Madison, Madison
| | - Tina Hartert
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Ferdinand Cacho
- Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee
| | - Margaret R. Karagas
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Tiffany North-Reid
- Department of Epidemiology, Dartmouth Geisel School of Medicine, Hanover, New Hampshire
| | - Barry M. Lester
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island
| | - Nichole R. Kelly
- Department of Counseling Psychology and Human Services, Prevention Science Institute, University of Oregon, Eugene
| | - Jody M. Ganiban
- Department of Psychological and Brain Sciences, George Washington University, Washington, District of Columbia
| | - Su H. Chu
- Channing Division of Network Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | | | - Rebecca C. Fry
- Department of Environmental Sciences and Engineering, Gillings School of Global Public Health, University of North Carolina, Chapel Hill
| | - Gwendolyn Norman
- Institute for Environmental Health Sciences, Wayne State University School of Medicine, Detroit, Michigan
- Department of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan
| | - Leonardo Trasande
- Department of Pediatrics, New York University Grossman School of Medicine, New York
| | - Bibiana Restrepo
- Department of Pediatrics, University of California Davis School of Medicine, Sacramento
- MIND Institute, University of California Davis, Sacramento, California
| | - Peter James
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Emily Oken
- Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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Manigault AW, Sheinkopf SJ, Silverman HF, Lester BM. Newborn Cry Acoustics in the Assessment of Neonatal Opioid Withdrawal Syndrome Using Machine Learning. JAMA Netw Open 2022; 5:e2238783. [PMID: 36301544 PMCID: PMC9614579 DOI: 10.1001/jamanetworkopen.2022.38783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE The assessment of opioid withdrawal in the neonate, or neonatal opioid withdrawal syndrome (NOWS), is problematic because current assessment methods are based on subjective observer ratings. Crying is a distinctive component of NOWS assessment tools and can be measured objectively using acoustic analysis. OBJECTIVE To evaluate the feasibility of using newborn cry acoustics (acoustics referring to the physical properties of sound) as an objective biobehavioral marker of NOWS. DESIGN, SETTING, AND PARTICIPANTS This prospective controlled cohort study assessed whether acoustic analysis of neonate cries could predict which infants would receive pharmacological treatment for NOWS. A total of 177 full-term neonates exposed and not exposed to opioids were recruited from Women & Infants Hospital of Rhode Island between August 8, 2016, and March 18, 2020. Cry recordings were processed for 118 neonates, and 65 neonates were included in the final analyses. Neonates exposed to opioids were monitored for signs of NOWS using the Finnegan Neonatal Abstinence Scoring Tool administered every 3 hours as part of a 5-day observation period during which audio was recorded continuously to capture crying. Crying of healthy neonates was recorded before hospital discharge during routine handling (eg, diaper changes). EXPOSURES The primary exposure was prenatal opioid exposure as determined by maternal receipt of medication-assisted treatment with methadone or buprenorphine. MAIN OUTCOMES AND MEASURES Neonates were stratified by prenatal opioid exposure and receipt of pharmacological treatment for NOWS before discharge from the hospital. In total, 775 hours of audio were collected and trimmed into 2.5 hours of usable cries, then acoustically analyzed (using 2 separate acoustic analyzers). Cross-validated supervised machine learning methods (combining the Boruta algorithm and a random forest classifier) were used to identify relevant acoustic parameters and predict pharmacological treatment for NOWS. RESULTS Final analyses included 65 neonates (mean [SD] gestational age at birth, 36.6 [1.1] weeks; 36 [55.4%] female; 50 [76.9%] White) with usable cry recordings. Of those, 19 neonates received pharmacological treatment for NOWS, 7 neonates were exposed to opioids but did not receive pharmacological treatment for NOWS, and 39 healthy neonates were not exposed to opioids. The mean of the predictions of random forest classifiers predicted receipt of pharmacological treatment for NOWS with high diagnostic accuracy (area under the curve, 0.90 [95% CI, 0.83-0.98]; accuracy, 0.85 [95% CI, 0.74-0.92]; sensitivity, 0.89 [95% CI, 0.67-0.99]; specificity, 0.83 [95% CI, 0.69-0.92]). CONCLUSIONS AND RELEVANCE In this study, newborn acoustic cry analysis had potential as an objective measure of opioid withdrawal. These findings suggest that acoustic cry analysis using machine learning could improve the assessment, diagnosis, and management of NOWS and facilitate standardized care for these infants.
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Affiliation(s)
- Andrew W. Manigault
- Brown Center for the Study of Children at Risk, Women & Infants Hospital of Rhode Island, Providence
| | - Stephen J. Sheinkopf
- Thompson Center for Autism and Neurodevelopmental Disorders, University of Missouri, Columbia
| | | | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Women & Infants Hospital of Rhode Island, Providence
- Department of Psychiatry, Alpert Medical School of Brown University, Providence, Rhode Island
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, Rhode Island
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36
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Knapp EA, Dong Y, Dunlop AL, Aschner JL, Stanford JB, Hartert T, Teitelbaum SL, Hudak ML, Carroll K, O’Connor TG, McEvoy CT, O’Shea TM, Carnell S, Karagas MR, Herbstman JB, Dabelea D, Ganiban JM, Ferrara A, Hedderson M, Bekelman TA, Rundle AG, Alshawabkeh A, Gilbert-Diamond D, Fry RC, Chen Z, Gilliland FD, Wright RJ, Camargo CA, Jacobson L, Lester BM, Hockett CW, Hodges ML, Chandran A. Changes in BMI During the COVID-19 Pandemic. Pediatrics 2022; 150:e2022056552. [PMID: 35768891 PMCID: PMC9444980 DOI: 10.1542/peds.2022-056552] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2022] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Experts hypothesized increased weight gain in children associated with the coronavirus disease 2019 (COVID-19) pandemic. Our objective was to evaluate whether the rate of change of child body mass index (BMI) increased during the COVID-19 pandemic compared with prepandemic years. METHODS The study population of 1996 children ages 2 to 19 years with at least 1 BMI measure before and during the COVID-19 pandemic was drawn from 38 pediatric cohorts across the United States participating in the Environmental Influences on Child Health Outcomes-wide cohort study. We modeled change in BMI using linear mixed models, adjusting for age, sex, race, ethnicity, maternal education, income, baseline BMI category, and type of BMI measure. Data collection and analysis were approved by the local institutional review board of each institution or by the central Environmental Influences on Child Health Outcomes institutional review board. RESULTS BMI increased during the COVID-19 pandemic compared with previous years (0.24 higher annual gain in BMI during the pandemic compared with previous years, 95% confidence interval 0.02 to 0.45). Children with BMI in the obese range compared with the healthy weight range were at higher risk for excess BMI gain during the pandemic, whereas children in higher-income households were at decreased risk of BMI gain. CONCLUSIONS One effect of the COVID-19 pandemic is an increase in annual BMI gain during the COVID-19 pandemic compared with the 3 previous years among children in our national cohort. This increased risk among US children may worsen a critical threat to public health and health equity.
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Affiliation(s)
| | - Yanan Dong
- Johns Hopkins School of Public Health, Baltimore, MD
| | | | - Judy L. Aschner
- Hackensack Meridian School of Medicine and Albert Einstein
College of Medicine, Bronx, NY
| | | | - Tina Hartert
- Vanderbilt University School of Medicine, Nashville,
TN
| | | | - Mark L. Hudak
- University of Florida College of Medicine –
Jacksonville, Jacksonville, FL
| | - Kecia Carroll
- Icahn School of Medicine at Mount Sinai, New York, NY
| | | | | | | | - Susan Carnell
- Johns Hopkins University School of Medicine, Baltimore,
MD
| | | | | | | | | | | | | | | | - Andrew G. Rundle
- Columbia University Mailman School of Public Health, New
York, New York
| | - Akram Alshawabkeh
- Civil and Environmental Engineering, Northeastern
University, Boston, MA
| | | | | | - Zhanghua Chen
- University of Southern California, Keck School of
Medicine, Los Angeles, CA
| | - Frank D. Gilliland
- University of Southern California, Keck School of
Medicine, Los Angeles, CA
| | | | | | - Lisa Jacobson
- Johns Hopkins School of Public Health, Baltimore, MD
| | | | - Christine W. Hockett
- Avera Research Institute; University of South Dakota
School of Medicine, Sioux Falls, SD
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Roubinov D, Musci RJ, Hipwell AE, Wu G, Santos H, Felder JN, Faleschini S, Conradt E, McEvoy CT, Lester BM, Buss C, Elliott AJ, Cordero JF, Stroustrup A, Bush NR. Trajectories of depressive symptoms among mothers of preterm and full-term infants in a national sample. Arch Womens Ment Health 2022; 25:807-817. [PMID: 35708790 PMCID: PMC9283322 DOI: 10.1007/s00737-022-01245-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 06/08/2022] [Indexed: 11/02/2022]
Abstract
To examine postpartum depressive symptom trajectories from birth to age 5 and their risk factors in a national sample of mothers of preterm and full-term infants. The racially and ethnically diverse sample comprised 11,320 maternal participants (Mage = 29; SD = 5.9) in the Environmental influences on Child Health Outcomes (ECHO) Program in the USA with data on newborn gestational age at birth (≥ 22 weeks) and maternal depression symptoms during the first 5 years following childbirth. Growth mixture models determined the number and trajectory of postpartum depression classes among women in the preterm and full-term groups, and we examined predictors of class membership. Five trajectories described depressive symptoms for both groups; however, notable differences were observed. One in 5 mothers of preterm infants developed clinically relevant depressive symptoms over time compared with 1 in 10 mothers of full-term infants. Among women who delivered preterm compared with those who delivered full-term, symptoms were more likely to increase over time and become severe when offspring were older. Distinct subgroups describe mothers' depressive symptom trajectories through 5 years following childbirth. Mild to moderate depressive symptoms may onset or persist for many women beyond the initial postpartum period regardless of newborn gestational age at birth. For women with preterm infants, initially mild symptoms may increase to high levels of severity during the preschool and toddler years.
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Affiliation(s)
- Danielle Roubinov
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA.
| | - Rashelle J Musci
- Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Alison E Hipwell
- Department of Psychiatry, University of Pittsburgh, Pittsburgh, PA, USA
| | - Guojing Wu
- Department of Epidemiology, Johns Hopkins University, Baltimore, MD, USA
| | - Hudson Santos
- Chapel Hill School of Nursing, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Jennifer N Felder
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
| | - Sabrina Faleschini
- Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| | - Elisabeth Conradt
- Department of Psychology, The University of Utah, Salt Lake City, UT, USA
| | - Cindy T McEvoy
- Department of Pediatrics, Oregon Health & Science University, Portland, OR, USA
| | - Barry M Lester
- Department of Psychiatry, Brown University, Providence, RI, USA
- Department of Pediatrics, Brown University, Providence, RI, USA
| | - Claudia Buss
- Department of Medical Psychology, Charité University of Medicine Berlin, Berlin, Germany
- Development, Health, and Disease Research Program, University of California Irvine, Irvine, CA, USA
| | - Amy J Elliott
- Department of Pediatrics, Avera Research Institute, University of South Dakota School of Medicine, Vermillion, SD, USA
| | - José F Cordero
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | - Annemarie Stroustrup
- Division of Neonatal-Perinatal Medicine, Department of Pediatrics, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Division of Neonatology, Department of Pediatrics, Cohen Children's Medical Center at Northwell Health, Queens, NY, USA
- Department of Environmental Medicine and Public Health, The Icahn School of Medicine at Mount Sinai, Queens, NY, USA
| | - Nicole R Bush
- Department of Psychiatry and Behavioral Sciences, University of California, San Francisco, CA, USA
- Department of Pediatrics, University of California San Francisco, San Francisco, CA, USA
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Lyall K, Ning X, Aschner JL, Avalos LA, Bennett DH, Bilder DA, Bush NR, Carroll KN, Chu SH, Croen LA, Dabelea D, Daniels JL, Duarte C, Elliott AJ, Fallin MD, Ferrara A, Hertz-Picciotto I, Hipwell AE, Jensen ET, Johnson SL, Joseph RM, Karagas M, Kelly RS, Lester BM, Margolis A, McEvoy CT, Messinger D, Neiderhiser JM, O’Connor TG, Oken E, Sathyanarayana S, Schmidt RJ, Sheinkopf SJ, Talge NM, Turi KN, Wright RJ, Zhao Q, Newschaffer C, Volk HE, Ladd-Acosta C, Environmental Influences on Child Health Outcomes OBOPCF. Cardiometabolic Pregnancy Complications in Association With Autism-Related Traits as Measured by the Social Responsiveness Scale in ECHO. Am J Epidemiol 2022; 191:1407-1419. [PMID: 35362025 PMCID: PMC9614927 DOI: 10.1093/aje/kwac061] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 03/07/2022] [Accepted: 03/25/2022] [Indexed: 01/28/2023] Open
Abstract
Prior work has examined associations between cardiometabolic pregnancy complications and autism spectrum disorder (ASD) but not how these complications may relate to social communication traits more broadly. We addressed this question within the Environmental Influences on Child Health Outcomes program, with 6,778 participants from 40 cohorts conducted from 1998-2021 with information on ASD-related traits via the Social Responsiveness Scale. Four metabolic pregnancy complications were examined individually, and combined, in association with Social Responsiveness Scale scores, using crude and adjusted linear regression as well as quantile regression analyses. We also examined associations stratified by ASD diagnosis, and potential mediation by preterm birth and low birth weight, and modification by child sex and enriched risk of ASD. Increases in ASD-related traits were associated with obesity (β = 4.64, 95% confidence interval: 3.27, 6.01) and gestational diabetes (β = 5.21, 95% confidence interval: 2.41, 8.02), specifically, but not with hypertension or preeclampsia. Results among children without ASD were similar to main analyses, but weaker among ASD cases. There was not strong evidence for mediation or modification. Results suggest that common cardiometabolic pregnancy complications may influence child ASD-related traits, not only above a diagnostic threshold relevant to ASD but also across the population.
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Affiliation(s)
- Kristen Lyall
- Correspondence to Dr. Kristen Lyall, 3020 Market Street, Suite 560, Philadelphia, PA 19104 (e-mail: )
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McGowan EC, Hofheimer JA, O’Shea TM, Kilbride H, Carter BS, Check J, Helderman J, Neal CR, Pastyrnak S, Smith LM, Camerota M, Dansereau LM, Della Grotta SA, Lester BM. Analysis of Neonatal Neurobehavior and Developmental Outcomes Among Preterm Infants. JAMA Netw Open 2022; 5:e2222249. [PMID: 35849396 PMCID: PMC9294999 DOI: 10.1001/jamanetworkopen.2022.22249] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
IMPORTANCE The ability to identify poor outcomes and treatable risk factors among very preterm infants remains challenging; improving early risk detection and intervention targets to potentially address developmental and behavioral delays is needed. OBJECTIVE To determine associations between neonatal neurobehavior using the Neonatal Intensive Care Unit (NICU) Network Neurobehavioral Scale (NNNS), neonatal medical risk, and 2-year outcomes. DESIGN, SETTING, AND PARTICIPANTS This multicenter cohort enrolled infants born at less than 30 weeks' gestation at 9 US university-affiliated NICUs. Enrollment was conducted from April 2014 to June 2016 with 2-year adjusted age follow-up assessment. Data were analyzed from December 2019 to January 2022. EXPOSURES Adverse medical and psychosocial conditions; neurobehavior. MAIN OUTCOMES AND MEASURES Bayley Scales of Infant and Toddler Development, third edition (Bayley-III), cognitive, language, and motor scores of less than 85 and Child Behavior Checklist (CBCL) T scores greater than 63. NNNS examinations were completed the week of NICU discharge, and 6 profiles of neurobehavior were identified by latent profile analysis. Generalized estimating equations tested associations among NNNS profiles, neonatal medical risk, and 2-year outcomes while adjusting for site, maternal socioeconomic and demographic factors, maternal psychopathology, and infant sex. RESULTS A total of 679 enrolled infants had medical and NNNS data; 2-year follow-up data were available for 479 mothers and 556 infants (mean [SD] postmenstrual age at birth, 27.0 [1.9] weeks; 255 [45.9%] female). Overall, 268 mothers (55.9%) were of minority race and ethnicity, and 127 (26.6%) lived in single-parent households. The most common neonatal medical morbidity was BPD (287 [51.7%]). Two NNNS behavior profiles, including 157 infants, were considered high behavioral risk. Infants with at least 2 medical morbidities (n = 123) were considered high medical risk. Infants with high behavioral and high medical risk were 4 times more likely to have Bayley-III motor scores less than 85 compared with those with low behavioral and low medical risk (adjusted relative risk [aRR], 4.1; 95% CI, 2.9-5.1). Infants with high behavioral and high medical risk also had increased risk for cognitive scores less than 85 (aRR, 2.7; 95% CI, 1.8-3.4). Only infants with high behavioral and low medical risk were in the clinical range for CBCL internalizing and total problem scores (internalizing: aRR, 2.3; 95% CI, 1.1-4.5; total: aRR, 2.5; 95% CI, 1.2-4.4). CONCLUSIONS AND RELEVANCE In this study, high-risk neonatal neurobehavioral patterns at NICU discharge were associated with adverse cognitive, motor, and behavioral outcomes at 2 years. Used in conjunction with medical risk, neonatal neurobehavioral assessments could enhance identification of infants at highest risk for delay and offer opportunities to provide early, targeted therapies.
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Affiliation(s)
- Elisabeth C. McGowan
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill
| | - Howard Kilbride
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, Missouri
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, Missouri
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Charles R. Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu
| | - Steve Pastyrnak
- Department of Pediatrics, Spectrum Health–Helen DeVos Hospital, Grand Rapids, Michigan
| | - Lynne M. Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, California
| | - Marie Camerota
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Lynne M. Dansereau
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Sheri A. Della Grotta
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Brown Alpert Medical School, Providence, Rhode Island
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Lester BM, Camerota M, Everson TM. The emergence of developmental behavioral epigenomics. Epigenomics 2022; 14:499-502. [PMID: 35291808 PMCID: PMC9189703 DOI: 10.2217/epi-2022-0065] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 03/08/2022] [Indexed: 11/21/2022] Open
Affiliation(s)
- Barry M Lester
- Departments of Pediatrics & Psychiatry, Center for the Study of Children at Risk, Brown Alpert Medical School & Women & Infants Hospital, Providence, RI 02905, USA
| | - Marie Camerota
- Departments of Pediatrics & Psychiatry, Center for the Study of Children at Risk, Brown Alpert Medical School & Women & Infants Hospital, Providence, RI 02905, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA 30322, USA
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Camerota M, Davis JM, Dansereau LM, Oliveira EL, Padbury JF, Lester BM. Effects of Pharmacologic Treatment for Neonatal Abstinence Syndrome on DNA Methylation and Neurobehavior: A Prospective Cohort Study. J Pediatr 2022; 243:21-26. [PMID: 34971656 PMCID: PMC8960328 DOI: 10.1016/j.jpeds.2021.12.057] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Revised: 11/17/2021] [Accepted: 12/19/2021] [Indexed: 11/30/2022]
Abstract
OBJECTIVE To determine whether pharmacologic treatment for neonatal abstinence syndrome (NAS) is associated with changes in DNA methylation (DNAm) of the mu-opioid receptor gene (OPRM1) and improvements in neonatal neurobehavior. STUDY DESIGN Buccal swabs were collected from 37 neonates before and after morphine treatment for NAS. Genomic DNA was extracted, and DNAm was examined at 4 cytosine-phosphate-guanine (CpG) sites within the OPRM1 gene. Assessment with the NICU Network Neurobehavioral Scales (NNNS) was also performed before and after NAS treatment. Changes in DNAm (DNAmpost-tx - DNAmpre-tx) and NNNS summary scores (NNNSpost-tx - NNNSpre-tx) were then calculated. Path analysis was used to examine associations among pharmacologic treatment (length of treatment [LOT] and total dose of morphine), changes in DNAm, and changes in NNNS summary scores. RESULTS DNAm was significantly decreased from pretreatment to post-treatment at 1 of 4 CpG sites within the OPRM1 gene. Neonates also demonstrated decreased excitability, hypertonia, lethargy, signs of stress and abstinence, and increased quality of movement and regulation from pretreatment to post-treatment. Longer LOT and higher morphine dose were associated with greater decreases in DNAm; greater decreases in DNAm were associated with greater decreases in excitability and hypertonia on the NNNS. CONCLUSIONS Pharmacologic treatment of NAS is associated with decreased DNAm of the OPRM1 gene and improved neonatal neurobehavior. Epigenetic changes may play a role in these changes in neonatal neurobehavior.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI; Department of Pediatrics, Women and Infants Hospital, Providence, RI.
| | - Jonathan M. Davis
- Department of Pediatrics, Tufts Children’s Hospital and the Tufts Clinical and Translational Science Institute, Boston, MA, USA
| | - Lynne M. Dansereau
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - Erica L. Oliveira
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - James F. Padbury
- Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
| | - Barry M. Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA,Department of Pediatrics, Women and Infants Hospital, Providence, RI, USA
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Helderman J, O’Shea TM, Dansereau L, Check J, Hofheimer JA, Smith LM, McGowan E, Neal CR, Carter BS, Pastyrnak SL, Betz B, Junewick J, Borders HL, DellaGrotta SA, Lester BM. Association of Abnormal Findings on Neonatal Cranial Ultrasound With Neurobehavior at Neonatal Intensive Care Unit Discharge in Infants Born Before 30 Weeks' Gestation. JAMA Netw Open 2022; 5:e226561. [PMID: 35394511 PMCID: PMC8994127 DOI: 10.1001/jamanetworkopen.2022.6561] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
IMPORTANCE Cranial ultrasound (CUS) findings are routinely used to identify preterm infants at risk for impaired neurodevelopment, and neurobehavioral examinations provide information about early brain function. The associations of abnormal findings on early and late CUS with neurobehavior at neonatal intensive care unit (NICU) discharge have not been reported. OBJECTIVE To examine the associations between early and late CUS findings and infant neurobehavior at NICU discharge. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included infants enrolled in the Neonatal Neurobehavior and Outcomes in Very Preterm Infants Study between April 2014 and June 2016. Infants born before 30 weeks' gestational age were included. Exclusion criteria were maternal age younger than 18 years, maternal cognitive impairment, maternal inability to read or speak English or Spanish, maternal death, and major congenital anomalies. Overall, 704 infants were enrolled. The study was conducted at 9 university-affiliated NICUs in Providence, Rhode Island; Grand Rapids, Michigan; Kansas City, Missouri; Honolulu, Hawaii; Winston-Salem, North Carolina; and Torrance and Long Beach, California. Data were analyzed from September 2019 to September 2021. EXPOSURES Early CUS was performed at 3 to 14 days after birth and late CUS at 36 weeks' postmenstrual age or NICU discharge. Abnormal findings were identified by consensus of standardized radiologists' readings. MAIN OUTCOMES AND MEASURES Neurobehavioral examination was performed using the NICU Network Neurobehavioral Scale (NNNS). RESULTS Among the 704 infants enrolled, 675 had both CUS and NNNS data (135 [20.0%] Black; 368 [54.5%] minority race or ethnicity; 339 [50.2%] White; 376 [55.7%] male; mean [SD] postmenstrual age, 27.0 [1.9] weeks). After covariate adjustment, lower attention (adjusted mean difference, -0.346; 95% CI, -0.609 to -0.083), hypotonicity (mean difference, 0.358; 95% CI, 0.055 to 0.662), and poorer quality of movement (mean difference, -0.344; 95% CI, -0.572 to -0.116) were observed in infants with white matter damage (WMD). Lower attention (mean difference, -0.233; 95% CI, -0.423 to -0.044) and hypotonicity (mean difference, 0.240; 95% CI, 0.014 to 0.465) were observed in infants with early CUS lesions. CONCLUSIONS AND RELEVANCE In this cohort study of preterm infants, certain early CUS lesions were associated with hypotonicity and lower attention around term-equivalent age. WMD was associated with poor attention, hypotonicity, and poor quality of movement. Infants with these CUS lesions might benefit from targeted interventions to improve neurobehavioral outcomes during their NICU hospitalization.
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Affiliation(s)
- Jennifer Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - T. Michael O’Shea
- Department of Pediatrics/Neonatal-Perinatal Medicine, University of North Carolina School of Medicine, Chapel Hill
| | - Lynne Dansereau
- Brown Center for Children at Risk, Women and Infants Hospital of Rhode Island, Providence
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston Salem, North Carolina
| | - Julie A. Hofheimer
- Department of Pediatrics/Neonatal-Perinatal Medicine, University of North Carolina School of Medicine, Chapel Hill
| | - Lynne M. Smith
- Department of Pediatrics, Lundquist Institute at Harbor-UCLA, Torrance, California
| | - Elisabeth McGowan
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - Charles R. Neal
- Department of Pediatrics, University of Hawaii John A Burns School of Medicine, Honolulu
| | - Brian S. Carter
- Department of Pediatrics–Neonatology, Children’s Mercy Hospital, Kansas City, Missouri
| | - Steven L. Pastyrnak
- Department of Pediatrics, Spectrum Health–Helen DeVos Hospital, Grand Rapids, Michigan
| | - Bradford Betz
- Department of Pediatric Radiology, Spectrum Health–Helen DeVos Hospital, Grand Rapids, Michigan
| | - Joseph Junewick
- Department of Diagnostic Radiology, Spectrum Health–Helen DeVos Hospital, Grand Rapids, Michigan
| | | | - Sheri A. DellaGrotta
- Brown Center for Children at Risk, Women and Infants Hospital of Rhode Island, Providence
| | - Barry M. Lester
- Brown Center for Children at Risk, Women and Infants Hospital of Rhode Island, Providence
- Department of Psychiatry, Brown Alpert Medical School, Providence, Rhode Island
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43
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Lester BM, Davis JM. Disarray in the perinatal management of neonatal abstinence syndrome. Pediatr Res 2022; 91:727-728. [PMID: 34815528 DOI: 10.1038/s41390-021-01848-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Accepted: 10/31/2021] [Indexed: 11/10/2022]
Affiliation(s)
- Barry M Lester
- Departments of Psychiatry and Pediatrics, Center for the Study of Children at Risk, Alpert Medical School of Brown University, Women and Infants Hospital, Providence, RI, USA.
| | - Jonathan M Davis
- Department of Pediatrics, Tufts Children's Hospital, The Tufts Clinical and Translational Research Institute, Tufts University School of Medicine, Boston, MA, USA
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Mitsven SG, Prince EB, Messinger DS, Tenenbaum EJ, Sheinkopf SJ, Tronick EZ, Seifer R, Lester BM. Testing the mid-range model: Attachment in a high risk sample. Dev Sci 2021; 25:e13185. [PMID: 34743364 PMCID: PMC9012671 DOI: 10.1111/desc.13185] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 10/05/2021] [Accepted: 10/12/2021] [Indexed: 11/26/2022]
Abstract
Infant attachment is a key predictor of later socioemotional functioning, but it is not clear how parental responsivity to infant expressive behavior is associated with attachment outcomes. A mid-range model of responsivity holds that both unresponsive and highly reactive parental behaviors lead to insecure and disorganized attachment. We examined the relationship between maternal (and infant) contingent responsivity and attachment in a high-risk sample. Participants were 625 infant-mother pairs from a longitudinal study of children with and without prenatal drug exposure and variable levels of associated social risks. Infant-mother pairs participated in the Face-to-Face/Still-Face paradigm (FFSF) at 4-months and in the Strange Situation Procedure (SSP) at 18-months. A model incorporating both linear and quadratic responsivity effects indicated that mothers who were either very high (reactive) or very low (unresponsive) in responsivity were more likely to have infants with disorganized attachment outcomes. While maternal responsivity was associated with attachment disorganization, no associations between maternal responsivity, and attachment security/insecurity were detected. Infant responsivity to mother was not associated with attachment outcomes. The findings suggest the importance of mid-range levels of maternal responsivity in the development of organized attachment among infants facing high levels of prenatal and social risk.
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Affiliation(s)
- Samantha G Mitsven
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Emily B Prince
- Department of Psychology, University of Miami, Coral Gables, Florida, USA
| | - Daniel S Messinger
- Department of Psychology, University of Miami, Coral Gables, Florida, USA.,Department of Electrical and Computer Engineering, University of Miami, Coral Gables, Florida, USA.,Department of Pediatrics, Department of Music Engineering, University of Miami, Coral Gables, Florida, USA
| | - Elena J Tenenbaum
- Department of Psychiatry and Behavioral Sciences, Duke University, Durham, North Carolina, USA
| | - Stephen J Sheinkopf
- Department of Psychiatry & Human Behavior and Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
| | - Edward Z Tronick
- Department of Psychology, University of Massachusetts, Boston, Massachusetts, USA
| | - Ronald Seifer
- Frank Porter Graham Child Development Institute, University of North Carolina Chapel Hill, Chapel Hill, North Carolina, USA
| | - Barry M Lester
- Department of Psychiatry & Human Behavior and Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, Rhode Island, USA
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45
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Camerota M, Graw S, Everson TM, McGowan EC, Hofheimer JA, O'Shea TM, Carter BS, Helderman JB, Check J, Neal CR, Pastyrnak SL, Smith LM, Dansereau LM, DellaGrotta SA, Marsit CJ, Lester BM. Prenatal risk factors and neonatal DNA methylation in very preterm infants. Clin Epigenetics 2021; 13:171. [PMID: 34507616 PMCID: PMC8434712 DOI: 10.1186/s13148-021-01164-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2021] [Accepted: 09/02/2021] [Indexed: 11/28/2022] Open
Abstract
Background Prenatal risk factors are related to poor health and developmental outcomes for infants, potentially via epigenetic mechanisms. We tested associations between person-centered prenatal risk profiles, cumulative prenatal risk models, and epigenome-wide DNA methylation (DNAm) in very preterm neonates. Methods We studied 542 infants from a multi-center study of infants born < 30 weeks postmenstrual age. We assessed 24 prenatal risk factors via maternal report and medical record review. Latent class analysis was used to define prenatal risk profiles. DNAm was quantified from neonatal buccal cells using the Illumina MethylationEPIC Beadarray. Results We identified three latent profiles of women: a group with few risk factors (61%) and groups with elevated physical (26%) and psychological (13%) risk factors. Neonates born to women in higher risk subgroups had differential DNAm at 2 CpG sites. Higher cumulative prenatal risk was associated with methylation at 15 CpG sites, 12 of which were located in genes previously linked to physical and mental health and neurodevelopment. Conclusion We observed associations between prenatal risk factors and DNAm in very preterm infants using both person-centered and cumulative risk approaches. Epigenetics offers a potential biological indicator of prenatal risk exposure. Supplementary Information The online version contains supplementary material available at 10.1186/s13148-021-01164-9.
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Affiliation(s)
- Marie Camerota
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA. .,Department of Pediatrics, Women and Infants Hospital of Rhode Island, 101 Dudley Street, Providence, RI, 02905, USA.
| | - Stefan Graw
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Todd M Everson
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA.,Department of Epidemiology, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Elisabeth C McGowan
- Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
| | - Julie A Hofheimer
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - T Michael O'Shea
- Department of Pediatrics, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Brian S Carter
- Department of Pediatrics-Neonatology, Children's Mercy Hospital, Kansas City, MO, USA
| | - Jennifer B Helderman
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Jennifer Check
- Department of Pediatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Charles R Neal
- Department of Pediatrics, University of Hawaii John A. Burns School of Medicine, Honolulu, HI, USA
| | - Steven L Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI, USA
| | - Lynne M Smith
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne M Dansereau
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, 101 Dudley Street, Providence, RI, 02905, USA
| | - Sheri A DellaGrotta
- Department of Pediatrics, Women and Infants Hospital of Rhode Island, 101 Dudley Street, Providence, RI, 02905, USA
| | - Carmen J Marsit
- Gangarosa Department of Environmental Health, Emory University Rollins School of Public Health, Atlanta, GA, USA
| | - Barry M Lester
- Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.,Department of Pediatrics, Women and Infants Hospital of Rhode Island, 101 Dudley Street, Providence, RI, 02905, USA.,Department of Pediatrics, Alpert Medical School of Brown University, Providence, RI, USA
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Shakiba N, Gao MM, Conradt E, Terrell S, Lester BM. Parent-child relationship quality and adolescent health: Testing the differential susceptibility and diathesis-stress hypotheses in African American youths. Child Dev 2021; 93:269-287. [PMID: 34473345 DOI: 10.1111/cdev.13667] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
This study tested two competing models of differential susceptibility and diathesis-stress in a prospective longitudinal study of African American youths (N = 935). It examined whether individual variations in the functioning of the hypothalamic-pituitary-adrenocortical axis at age 11 interact with middle childhood parent-child relationship quality to predict mental and physical health problems in adolescence (ages 11-15 years old). Adolescent boys with lower levels of cortisol reactivity to laboratory challenges had the highest levels of internalizing problems if they experienced a high conflictual relationship with their parents. Equally low-reactive boys, however, reported the lowest number of physical illnesses if their relationship with their parents was characterized by high levels of intimacy and support.
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Affiliation(s)
- Nila Shakiba
- Department of Psychological and Brain Sciences, Boston University, 64 Cummington Mall, Boston, Massachusetts, 02215, USA
| | | | - Elisabeth Conradt
- Department of Psychology, University of Utah, Salt Lake City, Utah, USA.,Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA.,Department of OB/GYN, University of Utah, Salt Lake City, Utah, USA
| | - Sarah Terrell
- Department of Human Development and Family Studies, Pennsylvania State University, University Park, Pennsylvania, USA
| | - Barry M Lester
- Department of Psychiatry, Brown University, Providence, Rhode Island, USA.,Department of Pediatrics, Brown University, Providence, Rhode Island, USA
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Chin Foo CA, Dansereau LM, Hawes K, Oliveira EL, Lester BM. Improving the Assessment of Neonatal Abstinence Syndrome (NAS). Children (Basel) 2021; 8:685. [PMID: 34438576 PMCID: PMC8394483 DOI: 10.3390/children8080685] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/12/2021] [Revised: 07/30/2021] [Accepted: 08/04/2021] [Indexed: 11/20/2022]
Abstract
Neonatal Abstinence Syndrome (NAS) is a public health problem of epidemic proportions. The Finnegan Neonatal Abstinence Scoring System (FNASS) is the tool most widely used to evaluate NAS. However, it is limited by its lack of interrater reliability and standardized approach. Surveys to evaluate the FNASS were distributed to nurses at the Women and Infants Hospital in Providence, RI, USA. Infants (n = 78) treated for NAS and born to methadone-maintained mothers were examined to compare items administered from the FNASS and the NICU Network Neurobehavioral Scale (NNNS). All nurses reported that the FNASS was somewhat to very subjective. More than half reported that it was somewhat to not accurate and a new scoring method is needed to accurately diagnose NAS. Correlations between FNASS items and NNNS items showed 9 of 32 (28.1%) correlations were strong (rs > 0.5), 5 of 32 (15.6%) were moderate (0.3 < rs < 0.5), and 10 of 32 (31.3%) were weak (0.1 < rs < 0.3). Principal component factor analysis (PCA) of the NNNS explained more variance (35.1%) than PCA of NNNS and FNASS items combined (33.1%). The nursing survey supported the need for developing a more objective exam to assess NAS. NNNS exam items may be used to improve the evaluation of NAS.
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Affiliation(s)
- Claire A. Chin Foo
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA; (L.M.D.); (K.H.); (E.L.O.)
| | - Lynne M. Dansereau
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA; (L.M.D.); (K.H.); (E.L.O.)
| | - Katheleen Hawes
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA; (L.M.D.); (K.H.); (E.L.O.)
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02908, USA
| | - Erica L. Oliveira
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA; (L.M.D.); (K.H.); (E.L.O.)
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02912, USA; (L.M.D.); (K.H.); (E.L.O.)
- Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, RI 02908, USA
- Department of Psychiatry and Human Behavior, Brown Alpert Medical School, Providence, RI 02912, USA
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Aghagoli G, Sheinkopf SJ, Everson TM, Marsit CJ, Lee H, Burt AA, Carter BS, Helderman JB, Hofheimer JA, McGowan EC, Neal CR, O’Shea TM, Pastyrnak SL, Smith LM, Soliman A, Dansereau LM, DellaGrotta SA, Padbury JF, Lester BM. Epigenome-wide analysis identifies genes and pathways linked to acoustic cry variation in preterm infants. Pediatr Res 2021; 89:1848-1854. [PMID: 32967004 PMCID: PMC7985041 DOI: 10.1038/s41390-020-01172-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 07/23/2020] [Accepted: 09/01/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND Preterm birth places infants at higher risk of adverse long-term behavioral and cognitive outcomes. Combining biobehavioral measures and molecular biomarkers may improve tools to predict the risk of long-term developmental delays. METHODS The Neonatal Neurobehavior and Outcomes in Very Preterm Infants study was conducted at nine neonatal intensive care units between April 2014 and June 2016. Cries were recorded and buccal swabs collected during the neurobehavioral exam. Cry episodes were extracted and analyzed using a computer system and the data were summarized using factor analysis. Genomic DNA was extracted from buccal swabs, quantified using the Qubit Fluorometer, and aliquoted into standardized concentrations. DNA methylation was measured with the Illumina MethylationEPIC BeadArray, and an epigenome-wide association study was performed using cry factors (n = 335). RESULTS Eighteen CpGs were associated with the cry factors at genome-wide significance (α = 7.08E - 09). Two CpG sites, one intergenic and one linked to gene TCF3 (important for B and T lymphocyte development), were associated with acoustic measures of cry energy. Increased methylation of TCF3 was associated with a lower energy-related cry factor. We also found that pitch (F0) and hyperpitch (F0 > 1 kHz) were associated with DNA methylation variability at 16 CpG sites. CONCLUSIONS Acoustic cry characteristics are related to variation in DNA methylation in preterm infants. IMPACT Preterm birth is a major public health problem and its long-term impact on health is not well understood. Cry acoustics, related to prematurity, has been linked to a variety of medical conditions. Biobehavioral measures and molecular biomarkers can improve prediction tools for long-term developmental risks of preterm birth. Variation in epigenetic modulation in preterm infants provides a potential link between preterm birth and unfavorable developmental outcomes.
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Affiliation(s)
- Ghazal Aghagoli
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - Stephen J. Sheinkopf
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI
| | - Todd M. Everson
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Carmen J. Marsit
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Hannah Lee
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - Amber A. Burt
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Brian S. Carter
- Department of Pediatrics-Neonatology, Children’s Mercy Hospital, Kansas City, MO
| | | | - Julie A. Hofheimer
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Elisabeth C. McGowan
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - Charles R. Neal
- Department of Pediatrics, John A. Burns School of Medicine, University of Hawaii, Honolulu, HI
| | - T. Michael O’Shea
- Department of Pediatrics, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Steve L. Pastyrnak
- Department of Pediatrics, Spectrum Health-Helen DeVos Hospital, Grand Rapids, MI
| | - Lynne M Smith
- Department of Pediatrics, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Antoine Soliman
- Department of Pediatrics, Miller Children’s and Women’s Hospital Long Beach, Long Beach, CA
| | - Lynne M. Dansereau
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - Sheri A DellaGrotta
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - James F. Padbury
- Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI
| | - Barry M. Lester
- Brown Center for the Study of Children at Risk, Providence, RI,Department of Pediatrics, Warren Alpert Medical School of Brown University, Providence, RI,Department of Pediatrics, Women and Infants Hospital of Rhode Island, Providence, RI,Department of Psychiatry and Human Behavior, Warren Alpert Medical School of Brown University, Providence, RI
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49
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Merhar SL, Ounpraseuth S, Devlin LA, Poindexter BB, Young LW, Berkey SD, Crowley M, Czynski AJ, Kiefer AS, Whalen BL, Das A, Fuller JF, Higgins RD, Thombre V, Lester BM, Smith PB, Newman S, Sánchez PJ, Smith MC, Simon AE. Phenobarbital and Clonidine as Secondary Medications for Neonatal Opioid Withdrawal Syndrome. Pediatrics 2021; 147:peds.2020-017830. [PMID: 33632932 PMCID: PMC7919109 DOI: 10.1542/peds.2020-017830] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/04/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Despite the neonatal opioid withdrawal syndrome (NOWS) epidemic in the United States, evidence is limited for pharmacologic management when first-line opioid medications fail to control symptoms. The objective with this study was to evaluate outcomes of infants receiving secondary therapy with phenobarbital compared with clonidine, in combination with morphine, for the treatment of NOWS. METHODS We performed a retrospective cohort study of infants with NOWS from 30 hospitals. The primary outcome measures were the length of hospital stay, duration of opioid treatment, and peak morphine dose. Outcomes were compared by group by using analysis of variance and multivariable linear regression controlling for relevant confounders. RESULTS Of 563 infants with NOWS treated with morphine, 32% (n = 180) also received a secondary medication. Seventy-two received phenobarbital and 108 received clonidine. After adjustment for covariates, length of hospital stay was 10 days shorter, and, in some models, duration of morphine treatment was 7.5 days shorter in infants receiving phenobarbital compared with those receiving clonidine, with no difference in peak morphine dose. Infants were more likely to be discharged from the hospital on phenobarbital than clonidine (78% vs 29%, P < .0001). CONCLUSIONS Among infants with NOWS receiving morphine and secondary therapy, those treated with phenobarbital had shorter length of hospital stay and shorter morphine treatment duration than clonidine-treated infants but were discharged from the hospital more often on secondary medication. Further investigation is warranted to determine if the benefits of shorter hospital stay and shorter duration of morphine therapy justify the possible neurodevelopmental consequences of phenobarbital use in infants with NOWS.
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Affiliation(s)
- Stephanie L. Merhar
- Perinatal Institute, Division of Neonatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Songthip Ounpraseuth
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Lori A. Devlin
- Department of Pediatrics, University of Louisville, Louisville, Kentucky
| | - Brenda B. Poindexter
- Perinatal Institute, Division of Neonatology, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio and Department of Pediatrics, University of Cincinnati, Cincinnati, Ohio
| | - Leslie W. Young
- Larner College of Medicine at the University of Vermont, Burlington, Vermont
| | - Sean D. Berkey
- Alaska Native Tribal Health Consortium, Anchorage, Alaska
| | - Moira Crowley
- Rainbow Babies and Children’s Hospital, Cleveland, Ohio
| | - Adam J. Czynski
- Department of Pediatrics, Women and Infant’s Hospital, Providence, Rhode Island
| | - Autumn S. Kiefer
- Department of Pediatrics, West Virginia University School of Medicine, Morgantown, West Virginia
| | - Bonny L. Whalen
- Children’s Hospital at Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire
| | - Abhik Das
- RTI International, Rockville, Maryland
| | - Janell F. Fuller
- University of New Mexico Health Sciences Center, Albuquerque, New Mexico
| | - Rosemary D. Higgins
- National Institute of Child Health and Human Development, Bethesda, Maryland and George Mason University, Fairfax, Virginia
| | - Vaishali Thombre
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Barry M. Lester
- Center for the Study of Children at Risk, Department of Pediatrics, Brown Alpert Medical School and Women and Infants Hospital, Providence, Rhode Island
| | - P. Brian Smith
- Duke Clinical Research Institute, School of Medicine, Duke University, Durham, North Carolina
| | | | - Pablo J. Sánchez
- Nationwide Children’s Hospital, College of Medicine, The Ohio State University, Columbus, Ohio
| | - M. Cody Smith
- Department of Pediatrics, School of Medicine, West Virginia University, Morgantown, West Virginia; and
| | - Alan E. Simon
- Environmental Influences on Child Health Outcomes Program, Office of the Director, National Institutes of Health, Rockville, Maryland
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50
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Young LW, Hu Z, Annett RD, Das A, Fuller JF, Higgins RD, Lester BM, Merhar SL, Simon AE, Ounpraseuth S, Smith PB, Crawford MM, Atz AM, Cottrell LE, Czynski AJ, Newman S, Paul DA, Sánchez PJ, Semmens EO, Smith MC, Turley CB, Whalen BL, Poindexter BB, Snowden JN, Devlin LA. Site-Level Variation in the Characteristics and Care of Infants With Neonatal Opioid Withdrawal. Pediatrics 2021; 147:e2020008839. [PMID: 33386337 PMCID: PMC7780957 DOI: 10.1542/peds.2020-008839] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/14/2020] [Indexed: 11/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Variation in pediatric medical care is common and contributes to differences in patient outcomes. Site-to-site variation in the characteristics and care of infants with neonatal opioid withdrawal syndrome (NOWS) has yet to be quantified. Our objective was to describe site-to-site variation in maternal-infant characteristics, infant management, and outcomes for infants with NOWS. METHODS Cross-sectional study of 1377 infants born between July 1, 2016, and June 30, 2017, who were ≥36 weeks' gestation, with NOWS (evidence of opioid exposure and NOWS scoring within the first 120 hours of life) born at or transferred to 1 of 30 participating hospitals nationwide. Site-to-site variation for each parameter within the 3 domains was measured as the range of individual site-level means, medians, or proportions. RESULTS Sites varied widely in the proportion of infants whose mothers received adequate prenatal care (31.3%-100%), medication-assisted treatment (5.9%-100%), and prenatal counseling (1.9%-75.5%). Sites varied in the proportion of infants with toxicology screening (50%-100%) and proportion of infants receiving pharmacologic therapy (6.7%-100%), secondary medications (1.1%-69.2%), and nonpharmacologic interventions including fortified feeds (2.9%-90%) and maternal breast milk (22.2%-83.3%). The mean length of stay varied across sites (2-28.8 days), as did the proportion of infants discharged with their parents (33.3%-91.1%). CONCLUSIONS Considerable site-to-site variation exists in all 3 domains. The magnitude of the observed variation makes it unlikely that all infants are receiving efficient and effective care for NOWS. This variation should be considered in future clinical trial development, practice implementation, and policy development.
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Affiliation(s)
- Leslie W Young
- Department of Pediatrics, The Robert Larner, M.D. College of Medicine, The University of Vermont, Burlington, Vermont;
| | | | - Robert D Annett
- Department of Pediatrics, Medical Center, University of Mississippi, Jackson, Mississippi
| | - Abhik Das
- Research Triangle Institute International, Rockville, Maryland
| | - Janell F Fuller
- Health Sciences Center, The University of New Mexico, Albuquerque, New Mexico
| | - Rosemary D Higgins
- National Institute of Child Health and Human Development, Bethesda, Maryland
- College of Health and Human Services, George Mason University, Fairfax, Virginia
| | - Barry M Lester
- Department of Pediatrics and Center for the Study of Children at Risk, Warren Alpert Medical School, Brown University and
| | - Stephanie L Merhar
- Division of Neonatology and Perinatal Institute and
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, Ohio
| | - Alan E Simon
- Environmental Influences on Child Health Outcomes Program and Office of the Director, National Institutes of Health, Rockville, Maryland
| | | | - P Brian Smith
- Duke Clinical Research Institute, School of Medicine, Duke University, Durham, North Carolina;
| | | | - Andrew M Atz
- Department of Pediatrics, College of Medicine, Medical University of South Carolina, Charleston, South Carolina
| | - Lesley E Cottrell
- Department of Pediatrics, School of Medicine, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, West Virginia
| | - Adam J Czynski
- Department of Pediatrics, Women and Infants Hospital, Providence, Rhode Island
| | | | - David A Paul
- Division of Neonatology, Department of Pediatrics, ChristianaCare, Newark, Delaware
| | - Pablo J Sánchez
- Nationwide Children's Hospital and College of Medicine, The Ohio State University, Columbus, Ohio
| | - Erin O Semmens
- School of Public and Community Health Sciences, University of Montana, Missoula, Montana
| | - M Cody Smith
- Department of Pediatrics, School of Medicine, Robert C. Byrd Health Sciences Center, West Virginia University, Morgantown, West Virginia;
| | - Christine B Turley
- Department of Pediatrics, School of Medicine, University of South Carolina, Columbia, South Carolina
| | - Bonny L Whalen
- Children's Hospital at Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire; and
| | | | - Jessica N Snowden
- Pediatrics, College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas
| | - Lori A Devlin
- Department of Pediatrics, School of Medicine, University of Louisville, Louisville, Kentucky
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