Educational achievement at age 9.5 years of children born to mothers maintained on methadone during pregnancy
Autoři:
Samantha J. Lee aff001; Lianne J. Woodward aff002; Jacqueline M. T. Henderson aff001
Působiště autorů:
School of Psychology, Speech and Hearing, University of Canterbury, Christchurch, New Zealand
aff001; School of Health Sciences, University of Canterbury, Christchurch, New Zealand
aff002
Vyšlo v časopise:
PLoS ONE 14(10)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0223685
Souhrn
Recent research shows that preschool children born to opioid-dependent mothers are at increased risk for cognitive, psychomotor, attention, and social-emotional adjustment problems. But very little is known about their school-age functioning, particularly their educational achievement. This analysis examined the educational outcomes of a regional cohort of 100 prenatally methadone-exposed children who were prospectively studied from birth to age 9.5 years alongside a comparison group of 110 randomly identified non-exposed children born between 2003 and 2008. At age 9.5, as part of a comprehensive neurodevelopmental evaluation, children’s teachers rated their achievement across the school curriculum, and children completed the Woodcock Johnson-III Tests of Achievement (WJ-III). Detailed information about the birth mother’s social background, pregnancy substance use, and mental health was also collected during pregnancy/at term. Infant clinical data were collected after birth. Methadone-exposed children performed less well than non-exposed children across seven school curriculum areas rated by teachers (ps ≤.001), performed less well than non-exposed children on all reading and mathematics subtests of the WJ-III, and had higher rates of any educational delay on the WJ-III (57% vs. 15%), OR = 7.47 (3.71–15.02). Results were similar when children with severe intellectual impairment were excluded. After adjusting for confounding factors, methadone-exposed children had increased odds of educational delay, but this was only marginally significant (OR = 3.62, [1.01–13.01], p = .049). Maternal educational attainment level (OR = 0.69, [0.50–0.89], p = .006), and maternal benzodiazepine use during pregnancy (OR = 2.70 [1.03–7.12], p = .044) were also associated with later educational risk. Findings suggest that children born to opioid-dependent women enrolled in methadone maintenance are at high risk of educational delay by age 9.5 years. Children’s academic difficulties appeared to reflect the effects of both adverse prenatal exposures and postnatal social risk.
Klíčová slova:
Children – Infants – Mathematics – Mothers – Opioids – Pregnancy – Schools – Teachers
Zdroje
1. Lee SJ, Pritchard VE, Austin NC, Henderson JMT, Woodward LJ. Health and Neurodevelopment of Children Born to Opioid Dependent Mothers at School Entry. J Dev Behav Pediatr. 2019. Epub ahead of print 2019/08/01. doi: 10.1097/DBP.0000000000000711 31393318
2. Pritchard VE, Bora S, Austin NC, Levin KJ, Woodward LJ. Identifying very preterm children at educational risk using a school readiness framework. Pediatrics. 2014;134(3):e825–832. Epub 2014/08/13. doi: 10.1542/peds.2013-3865 25113296.
3. High PC, Committee on Early Childhood, Adoption, and Dependent Care and Council on School Health. School readiness. Pediatrics. 2008;121(4):e1008–1015. Epub 2008/04/03. doi: 10.1542/peds.2008-0079 18381499.
4. Albright B, de la Torre L, Skipper B, Price S, Abbott P, Rayburn W. Changes in methadone maintenance therapy during and after pregnancy. J Subst Abuse Treat. 2011;41(4):347–353. Epub 2011/07/12. doi: 10.1016/j.jsat.2011.05.002 21741197.
5. Maeda A, Bateman BT, Clancy CR, Creanga AA, Leffert LR. Opioid abuse and dependence during pregnancy: temporal trends and obstetrical outcomes. Anesthesiology. 2014;121(6):1158–1165. Epub 2014/11/19. doi: 10.1097/ALN.0000000000000472 25405293.
6. Ludlow JP, Evans SF, Hulse G. Obstetric and perinatal outcomes in pregnancies associated with illicit substance abuse. Aust N Z J Obstet Gynaecol. 2004;44(4):302–306. Epub 2004/07/30. doi: 10.1111/j.1479-828X.2004.00221.x 15282000.
7. Patrick SW, Schumacher RE, Benneyworth BD, Krans EE, McAllister JM, Davis MM. Neonatal abstinence syndrome and associated health care expenditures: United States, 2000–2009. JAMA. 2012;307(18):1934–1940. Epub 2012/05/02. doi: 10.1001/jama.2012.3951 22546608.
8. Miller C, Grynspan D, Gaudet L, Ferretti E, Lawrence S, Moretti F, et al. Maternal and neonatal characteristics of a Canadian urban cohort receiving treatment for opioid use disorder during pregnancy. J Dev Orig Health Dis. 2018:1–6. Epub 2018/08/16. doi: 10.1017/S2040174418000478 30113278.
9. Nanovskaya TN, Nekhayeva IA, Hankins GD, Ahmed MS. Transfer of methadone across the dually perfused preterm human placental lobule. Am J Obstet Gynecol. 2008;198(1):126 e121–124. Epub 2008/01/02. doi: 10.1016/j.ajog.2007.06.073 18166326.
10. Nekhayeva IA, Nanovskaya TN, Deshmukh SV, Zharikova OL, Hankins GD, Ahmed MS. Bidirectional transfer of methadone across human placenta. Biochem Pharmacol. 2005;69(1):187–197. Epub 2004/12/14. doi: 10.1016/j.bcp.2004.09.008 15588727.
11. Brogly SB, Turner S, Lajkosz K, Davies G, Newman A, Johnson A, et al. Infants born to opioid-dependent women in Ontario, 2002–2014. J Obstet Gynaecol Can. 2017;39(3):157–165. Epub 2017/03/23. doi: 10.1016/j.jogc.2016.11.009 28343557.
12. Cleary BJ, Donnelly J, Strawbridge J, Gallagher PJ, Fahey T, Clarke M, et al. Methadone dose and neonatal abstinence syndrome-systematic review and meta-analysis. Addiction. 2010;105(12):2071–2084. Epub 2010/09/16. doi: 10.1111/j.1360-0443.2010.03120.x 20840198.
13. Wouldes TA, Woodward LJ. Maternal methadone dose during pregnancy and infant clinical outcome. Neurotoxicol Teratol. 2010;32(3):406–413. Epub 2010/01/28. doi: 10.1016/j.ntt.2010.01.007 20102736.
14. Bakstad B, Sarfi M, Welle-Strand GK, Ravndal E. Opioid maintenance treatment during pregnancy: occurrence and severity of neonatal abstinence syndrome. A national prospective study. Eur Addict Res. 2009;15(3):128–134. Epub 2009/04/01. doi: 10.1159/000210042 19332991.
15. Aarnoudse-Moens CSH, Weisglas-Kuperus N, van Goudoever JB, Oosterlaan J. Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics. 2009;124(2):717–728. Epub 2009/07/27. doi: 10.1542/peds.2008-2816 19651588.
16. Pritchard VE, Clark CA, Liberty K, Champion PR, Wilson K, Woodward LJ. Early school-based learning difficulties in children born very preterm. Early Hum Dev. 2009;85(4):215–224. Epub 2008/11/22. doi: 10.1016/j.earlhumdev.2008.10.004 19022593.
17. Brydges CR, Landes JK, Reid CL, Campbell C, French N, Anderson M. Cognitive outcomes in children and adolescents born very preterm: a meta‐analysis. Dev Med Child Neurol. 2018;60(5):452–468. Epub 2018/02/2017. doi: 10.1111/dmcn.13685 29453812
18. Yuan Q, Rubic M, Seah J, Rae C, Wright IMR, Kaltenbach K, et al. Do maternal opioids reduce neonatal regional brain volumes? A pilot study. J Perinatol. 2014;34(12):1–5. Epub 2014/06/19. doi: 10.1038/jp.2014.111 24945162.
19. Monnelly VJ, Anblagan D, Quigley A, Cabez MB, Cooper ES, Mactier H, et al. Prenatal methadone exposure is associated with altered neonatal brain development. Neuroimage Clin. 2018;18:9–14. Epub 2018/01/13. doi: 10.1016/j.nicl.2017.12.033 29326869.
20. Walhovd KB, Watts R, Amlien I, Woodward LJ. Neural tract development of infants born to methadone-maintained mothers. Pediatr Neurol. 2012;47(1):1–6. Epub 2012/06/19. doi: 10.1016/j.pediatrneurol.2012.04.008 22704008.
21. Walhovd KB, Moe V, Slinning K, Due-Tonnessen P, Bjornerud A, Dale AM, et al. Volumetric cerebral characteristics of children exposed to opiates and other substances in utero. Neuroimage. 2007;36(4):1331–1344. Epub 2007/05/22. doi: 10.1016/j.neuroimage.2007.03.070 17513131.
22. Sirnes E, Oltedal L, Bartsch H, Eide GE, Elgen IB, Aukland SM. Brain morphology in school-aged children with prenatal opioid exposure: a structural MRI study. Early Hum Dev. 2017;106–107:33–39. Epub 2017/02/12. doi: 10.1016/j.earlhumdev.2017.01.009 28187337.
23. Walhovd KB, Westlye LT, Moe V, Slinning K, Due-Tonnessen P, Bjornerud A, et al. White matter characteristics and cognition in prenatally opiate- and polysubstance-exposed children: a diffusion tensor imaging study. AJNR Am J Neuroradiol. 2010;31(5):894–900. Epub 2010/03/06. doi: 10.3174/ajnr.A1957 20203117.
24. Sarfi M, Sundet JM, Waal H. Maternal stress and behavioral adaptation in methadone- or buprenorphine-exposed toddlers. Infant Behav Dev. 2013;36(4):707–716. Epub 2013/09/04. doi: 10.1016/j.infbeh.2013.08.006 23999378.
25. Davie-Gray A, Moor S, Spencer C, Woodward LJ. Psychosocial characteristics and poly-drug use of pregnant women enrolled in methadone maintenance treatment. Neurotoxicol Teratol. 2013;38:46–52. Epub 2013/05/04. doi: 10.1016/j.ntt.2013.04.006 23639593.
26. Oei JL, Abdel-Latif ME, Craig F, Kee A, Austin MP, Lui K, et al. Short-term outcomes of mothers and newborn infants with comorbid psychiatric disorders and drug dependency. Aust N Z J Psychiatry. 2009;43(4):323–331. Epub 2009/03/20. doi: 10.1080/00048670902721087 19296287.
27. Serino D, Peterson BS, Rosen TS. Psychological functioning of women taking illicit drugs during pregnancy and the growth and development of their offspring in early childhood. J Dual Diagn. 2018;14(3):158–170. Epub 2018/04/26. doi: 10.1080/15504263.2018.1468946 29694295.
28. de Cubas MM, Field T. Children of methadone-dependent women: developmental outcomes. Am J Orthopsychiatry. 1993;63(2):266–276. Epub 1993/04/01. doi: 10.1037/h0079429 7683453.
29. Oei JL, Melhuish E, Uebel H, Azzam N, Breen C, Burns L, et al. Neonatal abstinence syndrome and high school performance. Pediatrics. 2017;139(2):e20162651. Epub 2017/01/18. doi: 10.1542/peds.2016-2651 28093465.
30. Willcutt EG, Petrill SA, Wu S, Boada R, Defries JC, Olson RK, et al. Comorbidity between reading disability and math disability: concurrent psychopathology, functional impairment, and neuropsychological functioning. J Learn Disabil. 2013;46(6):500–516. Epub 2013/03/02. doi: 10.1177/0022219413477476 23449727.
31. Jordan NC, Hanich LB, Kaplan D. A longitudinal study of mathematical competencies in children with specific mathematics difficulties versus children with comorbid mathematics and reading difficulties. Child Dev. 2003;74(3):834–850. Epub 2003/06/11. doi: 10.1111/1467-8624.00571 12795393.
32. Landerl K, Moll K. Comorbidity of learning disorders: prevalence and familial transmission. J Child Psychol Psychiatry. 2010;51(3):287–294. Epub 2009/10/01. doi: 10.1111/j.1469-7610.2009.02164.x 19788550.
33. Ornoy A, Segal J, Bar-Hamburger R, Greenbaum C. Developmental outcome of school-age children born to mothers with heroin dependency: importance of environmental factors. Dev Med Child Neurol. 2001;43(10):668–675. Epub 2001/10/23. 11665823.
34. Statistics New Zealand. Census regional summary. Wellington: Statistics New Zealand; 2006 [September 30, 2014]. http://www.stats.govt.nz.
35. Ministry of Education NZ. The New Zealand Curriculum. Wellington, N.Z.: Learning Media Limited, 2007.
36. Woodcock R, McGrew K, Mather N. Woodcock-Johnson-III Tests of Achievement. Itasca, IL: Riverside; 2001.
37. Blackwell TL. Test Review: Woodcock, RW, McGrew, KS, & Mather, N.(2001). Woodcock-Johnson® III Test. Riverside Publishing Company. Itasca, IL. Rehabilitation Counseling Bulletin. 2001;44(4):232–235.
38. Hutchinson EA, De Luca CR, Doyle LW, Roberts G, Anderson PJ, Victorian Infant Collaborative Study G. School-age outcomes of extremely preterm or extremely low birth weight children. Pediatrics. 2013;131(4):e1053–1061. Epub 2013/03/20. doi: 10.1542/peds.2012-2311 23509167.
39. Wechsler D. WASI-II: Wechsler Abbreviated Scale of Intelligence—Second Edition. San Antonio,TX: Pearson; 2011.
40. Irby SM, Floyd RG. Test Review: Wechsler Abbreviated Scale of Intelligence. Can J of Sch Psychol. 2013;28(3):295–299. doi: 10.1177/0829573513493982
41. McCrimmon AW, Smith AD. Review of the Wechsler Abbreviated Scale of Intelligence, Second Edition (WASI-II). J Psychoed Assess. 2013;31(3):337–341. Epub 2012/12/05. doi: 10.1177/0734282912467756
42. Elley WB, Irving J. The Elley-Irving Socio-Economic Index: 2001 Census Revision. NZJES. 2003;38:3–17.
43. Cox JL, Holden JM, Sagovsky R. Detection of postnatal depression. Development of the 10-item Edinburgh Postnatal Depression Scale. Br J Psychiatry. 1987;150(6):782–786. Epub 1987/06/01. doi: 10.1192/bjp.150.6.782 3651732.
44. Cox JL, Chapman G, Murray D, Jones P. Validation of the Edinburgh Postnatal Depression Scale (EPDS) in non-postnatal women. J Affect Disord. 1996;39(3):185–189. Epub 1996/07/29. doi: 10.1016/0165-0327(96)00008-0 8856422.
45. Cumming G, Calin-Jageman R. Introduction to the new statistics: estimation, open science, and beyond: Routledge; 2016.
46. Hunt RW, Tzioumi D, Collins E, Jeffery HE. Adverse neurodevelopmental outcome of infants exposed to opiate in-utero. Early Hum Dev. 2008;84(1):29–35. Epub 2007/08/31. doi: 10.1016/j.earlhumdev.2007.01.013 17728081.
47. Baar A, Graaff BMT. Cognitive development at preschool-age of infants of drug-dependent mothers. Dev Med Child Neurol. 2008;36(12):1063–1075. doi: 10.1111/j.1469-8749.1994.tb11809.x 7958521
48. Levine TA, Woodward LJ. Early inhibitory control and working memory abilities of children prenatally exposed to methadone. Early Hum Dev. 2018;116:68–75. Epub 2017/12/02. doi: 10.1016/j.earlhumdev.2017.11.010 29195088.
49. Konijnenberg C, Melinder A. Executive function in preschool children prenatally exposed to methadone or buprenorphine. Child Neuropsychol. 2015;21(5):570–585. Epub 2014/10/31. doi: 10.1080/09297049.2014.967201 25354916.
50. Nygaard E, Slinning K, Moe V, Walhovd KB. Behavior and attention problems in eight-year-old children with prenatal opiate and poly-substance exposure: a longitudinal study. PLoS One. 2016;11(6):e0158054. Epub 2016/06/24. doi: 10.1371/journal.pone.0158054 27336798.
51. Zhang W, Zhang L, Chen L, Ji L, Deater-Deckard K. Developmental changes in longitudinal associations between academic achievement and psychopathological symptoms from late childhood to middle adolescence. J Child Psychol Psychiatry. 2019;60(2):178–188. Epub 2019/01/23. doi: 10.1111/jcpp.12927 29741777
52. Moilanen KL, Shaw DS, Maxwell KL. Developmental cascades: externalizing, internalizing, and academic competence from middle childhood to early adolescence. Dev Psychopathol. 2010;22(3):635–653. Epub 2010/06/26. doi: 10.1017/S0954579410000337 20576184.
53. Weis M, Heikamp T, Trommsdorff G. Gender differences in school achievement: The role of self-regulation. Front Psychol. 2013;4:442. Epub 2013/07/25. doi: 10.3389/fpsyg.2013.00442 23882244.
54. Fergusson DM, Horwood LJ. Gender differences in educational achievement in a New Zealand birth cohort. NZJES. 1997;32(1):83–96.
55. Calderon-Margalit R, Qiu C, Ornoy A, Siscovick DS, Williams MA. Risk of preterm delivery and other adverse perinatal outcomes in relation to maternal use of psychotropic medications during pregnancy. Am J Obstet Gynecol. 2009;201(6):579 e571–578. Epub 2009/08/21. doi: 10.1016/j.ajog.2009.06.061 19691950.
56. Wang LH, Lin HC, Lin CC, Chen YH, Lin HC. Increased risk of adverse pregnancy outcomes in women receiving zolpidem during pregnancy. Clin Pharmacol Ther. 2010;88(3):369–374. Epub 2010/08/06. doi: 10.1038/clpt.2010.97 20686480.
57. Viggedal G, Hagberg BS, Laegreid L, Aronsson M. Mental development in late infancy after prenatal exposure to benzodiazepines: a prospective study. J Child Psychol Psychiatry. 1993;34(3):295–305. doi: 10.1111/j.1469-7610.1993.tb00993.x 8463369.
58. Laegreid L, Hagberg G, Lundberg A. Neurodevelopment in late infancy after prenatal exposure to benzodiazepines: a prospective study. Neuropediatrics. 1992;23(2):60–67. Epub 1992/04/01. doi: 10.1055/s-2008-1071314 1351263.
59. Radojcic MR, El Marroun H, Miljkovic B, Stricker BHC, Jaddoe VWV, Verhulst FC, et al. Prenatal exposure to anxiolytic and hypnotic medication in relation to behavioral problems in childhood: a population-based cohort study. Neurotoxicol Teratol. 2017;61:58–65. Epub 2017/03/06. doi: 10.1016/j.ntt.2017.02.005 28259732.
60. Goldschmidt L, Richardson GA, Cornelius MD, Day NL. Prenatal marijuana and alcohol exposure and academic achievement at age 10. Neurotoxicol Teratol. 2004;26(4):521–532. Epub 2004/06/19. doi: 10.1016/j.ntt.2004.04.003 15203174.
61. Morrow CE, Culbertson JL, Accornero VH, Xue L, Anthony JC, Bandstra ES. Learning disabilities and intellectual functioning in school-aged children with prenatal cocaine exposure. Dev Neuropsychol. 2006;30(3):905–931. Epub 2006/11/07. doi: 10.1207/s15326942dn3003_8 17083299.
62. Potter D, Roksa J. Accumulating advantages over time: family experiences and social class inequality in academic achievement. Soc Sci Res. 2013;42(4):1018–1032. Epub 2013/06/01. doi: 10.1016/j.ssresearch.2013.02.005 23721671.
63. Lee K. Do early academic achievement and behavior problems predict long-term effects among Head Start children? Child Youth Serv Rev. 2010;32(12):1690–1703. doi: 10.1016/j.childyouth.2010.07.012
64. Perry MA, Fantuzzo JW. A multivariate investigation of maternal risks and their relationship to low-income, preschool children’s competencies. Appl Dev Sci. 2010;14(1):1–17. doi: 10.1080/10888690903510281
65. Peisch V, Sullivan AD, Breslend NL, Benoit R, Sigmon SC, Forehand GL, et al. Parental opioid abuse: a review of child outcomes, parenting, and parenting interventions. J Child Fam Stud. 2018;27(7):2082–2099. Epub 2018/03/29. doi: 10.1007/s10826-018-1061-0
66. Lean RE, Pritchard VE, Woodward LJ. Child protection and out-of-home placement experiences of preschool children born to mothers enrolled in methadone maintenance treatment during pregnancy. Child Youth Serv Rev. 2013;35(11):1878–1885. doi: 10.1016/j.childyouth.2013.09.003
67. Lester BM, Tronick EZ. The effects of prenatal cocaine exposure and child outcome: Lessons from the past. Infant Ment Health J. 1994;15:107–120. doi: 10.1002/1097-0355(199422)15:2<107::AID-IMHJ2280150203>3.0.CO;2-R
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