Sangshin Park1,2, David C Bellinger3,4, Meredith Adamo5, Brady Bennett5, Nam-Kyong Choi6,7,8, Palmera I Baltazar9,10, Edna B Ayaso9, Donna Bella S Monterde9, Veronica Tallo10, Remigio M Olveda10, Luz P Acosta10, Jonathan D Kurtis5,11, Jennifer F Friedman5,2. 1. Center for International Health Research, Rhode Island Hospital, and dvm.spark@gmail.com. 2. Departments of Pediatrics, and. 3. Department of Environmental Health, Harvard School of Public Health, Boston, Massachusetts. 4. Department of Neurology, Children's Hospital, Boston, Massachusetts. 5. Center for International Health Research, Rhode Island Hospital, and. 6. Institute of Environmental Medicine, Seoul National University Medical Research Center, Seoul, Republic of Korea. 7. Division of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. 8. Department of Health Convergence, Ewha Womans University, Seoul, Republic of Korea. 9. Remedios Trinidad Romualdez Hospital, Tacloban City, Leyte, Philippines; and. 10. Research Institute for Tropical Medicine, Manila, Philippines. 11. Pathology and Laboratory Medicine, The Warren Alpert Medical School of Brown University, Providence, Rhode Island.
Abstract
OBJECTIVE: To identify pathways through which pre- and postnatal factors directly or indirectly affect infant neurodevelopment at 12 months of age among Filipino infants. METHODS: The Bayley Scales of Infant Development, third edition was used to assess the development of 314 infants of mothers enrolled in a trial examining the safety and efficacy of praziquantel during pregnancy. Maternal covariates included socioeconomic status, iron and nutritional status, cognitive performance, and alcohol intake. Infant covariates included birth weight and feeding practices, longitudinal growth and nutritional status, hemoglobin and iron status captured at birth, and 6 and 12 months of age. Multivariable regression and structural equation modeling were used to identify significant factors associated with infant development. RESULTS: In regression models, maternal education, cognition, and iron status as well as infant weight-for-age z-score (WAZ), weight-for-length z-score, and WAZ gains were significantly associated with infant development at 12 months of age. Structural equation modeling demonstrated a direct effect of maternal cognition on most subscales of infant development and indirect effects on expressive language through effects on infant WAZ. Maternal iron status was a stronger predictor of infant cognition subscale scores than was infant iron status. Exclusive breastfeeding had a direct influence on expressive language rather than acting through improved infant iron or nutritional status. CONCLUSIONS: We identified key modifiable risk factors for impaired neurodevelopment, including prenatal risk factors such as maternal iron status. Integrated nutritional interventions that impact both maternal and infant nutritional status are likely to positively affect infant neurodevelopment through identified pathways.
OBJECTIVE: To identify pathways through which pre- and postnatal factors directly or indirectly affect infant neurodevelopment at 12 months of age among Filipino infants. METHODS: The Bayley Scales of Infant Development, third edition was used to assess the development of 314 infants of mothers enrolled in a trial examining the safety and efficacy of praziquantel during pregnancy. Maternal covariates included socioeconomic status, iron and nutritional status, cognitive performance, and alcohol intake. Infant covariates included birth weight and feeding practices, longitudinal growth and nutritional status, hemoglobin and iron status captured at birth, and 6 and 12 months of age. Multivariable regression and structural equation modeling were used to identify significant factors associated with infant development. RESULTS: In regression models, maternal education, cognition, and iron status as well as infant weight-for-age z-score (WAZ), weight-for-length z-score, and WAZ gains were significantly associated with infant development at 12 months of age. Structural equation modeling demonstrated a direct effect of maternal cognition on most subscales of infant development and indirect effects on expressive language through effects on infant WAZ. Maternal iron status was a stronger predictor of infant cognition subscale scores than was infantiron status. Exclusive breastfeeding had a direct influence on expressive language rather than acting through improved infantiron or nutritional status. CONCLUSIONS: We identified key modifiable risk factors for impaired neurodevelopment, including prenatal risk factors such as maternal iron status. Integrated nutritional interventions that impact both maternal and infant nutritional status are likely to positively affect infant neurodevelopment through identified pathways.
Authors: Susan P Walker; Theodore D Wachs; Julie Meeks Gardner; Betsy Lozoff; Gail A Wasserman; Ernesto Pollitt; Julie A Carter Journal: Lancet Date: 2007-01-13 Impact factor: 79.321
Authors: Emily H Siegel; Rebecca J Stoltzfus; Patricia K Kariger; Joanne Katz; Subarna K Khatry; Steven C LeClerq; Ernesto Pollitt; James M Tielsch Journal: J Nutr Date: 2005-12 Impact factor: 4.798
Authors: Amara E Ezeamama; Jennifer F Friedman; Luz P Acosta; David C Bellinger; Gretchen C Langdon; Daria L Manalo; Remigio M Olveda; Jonathan D Kurtis; Stephen T McGarvey Journal: Am J Trop Med Hyg Date: 2005-05 Impact factor: 2.345
Authors: Christopher R Sudfeld; Dana Charles McCoy; Günther Fink; Alfa Muhihi; David C Bellinger; Honorati Masanja; Emily R Smith; Goodarz Danaei; Majid Ezzati; Wafaie W Fawzi Journal: J Nutr Date: 2015-10-07 Impact factor: 4.798
Authors: Sally Grantham-McGregor; Yin Bun Cheung; Santiago Cueto; Paul Glewwe; Linda Richter; Barbara Strupp Journal: Lancet Date: 2007-01-06 Impact factor: 79.321
Authors: Mikhail G Dozmorov; Staci D Bilbo; Scott H Kollins; Nancy Zucker; Elizabeth K Do; Julia C Schechter; Junfeng Jim Zhang; Susan K Murphy; Cathrine Hoyo; Bernard F Fuemmeler Journal: Brain Behav Immun Date: 2018-03-26 Impact factor: 7.217
Authors: Alan Leviton; Elizabeth N Allred; Olaf Dammann; Robert M Joseph; Raina N Fichorova; T Michael O'Shea; Karl C K Kuban Journal: PLoS One Date: 2019-03-26 Impact factor: 3.240
Authors: Ajibola I Abioye; Emily A McDonald; Sangshin Park; Kelsey Ripp; Brady Bennett; Hannah W Wu; Sunthorn Pond-Tor; Marianne J Sagliba; Amabelle J Amoylen; Palmera I Baltazar; Veronica Tallo; Luz P Acosta; Remigio M Olveda; Jonathan D Kurtis; Jennifer F Friedman Journal: Pediatr Res Date: 2019-05-26 Impact factor: 3.756
Authors: Sangshin Park; Zorimel Vargas; Anne Zhao; Palmera I Baltazar; Jennifer F Friedman; Emily A McDonald Journal: Sci Rep Date: 2022-09-06 Impact factor: 4.996
Authors: Hugo G Quezada-Pinedo; Florian Cassel; Liesbeth Duijts; Martina U Muckenthaler; Max Gassmann; Vincent W V Jaddoe; Irwin K M Reiss; Marijn J Vermeulen Journal: Nutrients Date: 2021-06-28 Impact factor: 5.717