Longitudinal Evaluation of Mathematics Achievement in Children and Adolescents with FASD
Main Article Content
Background and Objectives
Mathematics achievement as a particular area of difficulty for individuals with fetal alcohol spectrum disorder (FASD) has been a robust finding in the literature. However, existing longitudinal data are outdated and do not consider mathematics performance across time during critical periods of transition such as adolescence. Longitudinal data on the developmental trajectory of mathematics and factors that may influence outcomes can inform the development of effective educational intervention strategies for youth with prenatal alcohol exposure (PAE)/FASD to promote academic success in the area of mathematics. In the present study, we aimed to add to the existing literature through the examination of mathematics performance at two time-points at both the group and individual levels. We also examined the impact of various demographic and environmental factors on mathematics skills over time.
Materials and Methods
Fifteen children and youth with PAE/FASD were assessed at time 1 (M age = 13.0 years, range 9–17 years), and at time 2 approximately 5 years later (M age = 18.5 years, range 15–23 years) using a standardized measure of math achievement.
At the group level, mean normative math achievement scores significantly decreased over time. At the indi-vidual level, reliable change indices indicated that 13.3% (n = 2) of participants’ scores demonstrated clin-ically significant change across time. No demographic or environmental factor variables were correlated with changes in scores across time.
With recognition that the results need to be considered in the context of the limited power and generalizability that our small sample size offers, our results highlight the importance of considering both group and individual change. Without such information, there is the potential to overgeneralize the extent to which mathematics scores for individuals with PAE/FASD are decreasing across time. Our descriptive findings acknowledge the critical need for adolescent mathematics interventions which consider the complexity and diversity of the deficits present in PAE/FASD because existing services may be buffering some difficulties in the area of mathematics, but are not necessarily promoting longer-term impacts.
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2. Kodituwakku PW. Defining the behavioral phenotype in children with fetal alcohol spectrum disorders: a review. Neurosci Biobehav Rev 2007;31(2):192–201. https://doi.org/10.1016/j.neubiorev.2006.06.020
3. Kodituwakku PW. Neurocognitive profile in with fetal alcohol spectrum disorders. Dev Disabil Res Rev 2009;15(3):218–224. https://doi.org/10.1002/ddrr.73
4. Mattson SN, Crocker N, Nguyen TT. Fetal alcohol spectrum disorders: neuropsychological and behavioral features. Neuropsychol Rev 2011;21(2):81–101. https://doi.org/10.1007/s11065-011-9167-9
5. Streissguth AP, Bookstein FL, Barr HM, et al. Risk factors for adverse life outcomes in fetal alcohol syndrome and fetal alcohol effects. J Dev Behav Pediatr 2004;25(4):228–238. https://doi.org/10.1097/00004703-200408000-00002
6. Duncan GJ, Dowsett CJ, Claessens A, et al. School readiness and later achievement. Dev Psychol 2007;43(6):1428–1446. https://doi.org/10.1037/0012-16188.8.131.528
7. Reyna VF, Nelson WL, Han PK, et al. How numeracy influences riskcomprehension and medical decision making. Psychol Bull 2009;135(6):943–973. https:/doi.org/10.1037/a0017327
8. Ritchie SJ, Bates TC. Enduring links from childhood mathematics and reading achievement to adult socioeconomic status. Psychol Sci 2013;24(7):1302–1308. https://doi.org/10.1177/0956797612466268
9. Rasmussen C, Bisanz J. Executive functioning in children with Fetal Alcohol Spectrum Disorder: Profiles and age-related differences. Child Neuropsychol 2009;15(3):201–215. https://doi.org/10.1080/09297040802385400
10. Goldschmidt L, Richardson GA, Stoffer DS, et al. Prenatal alcohol exposure and academic achievement at age six: a nonlinear fit. Alcohol Clin Ex Res 1996;20(4):763–770. https://doi.org/10.1111/j.1530-0277.1996.tb01684.x
11. Streissguth AP, Barr HM, Sampson PD, et al. Prenatal alcohol and offspring development: the first fourteen years. Drug alcohol depend 1994;36(2): 89–99. https://doi.org/10.1016/0376-8716(94)90090-6
12. Burden MJ, Jacobson SW, Sokol RJ, et al. Effects of prenatal alcohol exposure on attention and working memory at 7.5 years of age. Alc Clin Ex Res 2005;29(3):443–452. https://doi.org/10.1097/01.ALC.0000156125.50577.EC
13. Crocker N, Vaurio L, Riley EP, et al. Comparison of adaptive behavior in children with heavy prenatal alcohol exposure or attention‐deficit/hyperactivity disorder. Alc Clin Ex Res 2009;33(11):2015–2023. https://doi.org/10.1111/j.1530- 0277.2009.01040.x
14. McLean JF, Hitch, GJ. Working memory impairments in children with specific arithmetic learning difficulties. J Exp Child Psychol 1999;74(3):240–260. https://doi.org/10.1006/jecp.1999.2516
15. Rasmussen C, Bisanz J. The relation between mathematics and working memory in young children with fetal alcohol spectrum disorders. J Spec Educ 2011;45(3):184–191. https://doi.org/10.1177/0022466909356110
16. Lebel C, Rasmussen C, Wyper K, et al. Brain microstructure is related to math ability in children with fetal alcohol spectrum disorder. Alcohol Clin Ex Res 2010;34(2):354–363. https://doi.org/10.1111/j.1530-0277.2009.01097.x
17. Meintjes EM, Jacobson JL, Molteno CD, et al. An FMRI study of number processing in children with fetal alcohol syndrome. Alcohol Clin Ex Res 2010;34(8):1450–1464. https://doi.org/10.1111/j.1530-0277.2010.01230.x
18. Santhanam P, Li Z, Hu X, et al. Effects of prenatal alcohol exposure on brain activation during an arithmetic task: an fMRI study. Alcohol Clin Ex Res 2010;4(3):1901–1908. https://doi.org/10.1111/j.1530-0277.2009.01028.x
19. Olson HC, Sampson PD, Barr H, et al. Prenatal exposure to alcohol and school problems in late childhood: A longitudinal prospective study. Dev Psychopathol 1992;4(3):341–359. https://doi.org/10.1017/S0954579400000821
20. Streissguth AP, Barr HM, Sampson PD. Moderate prenatal alcohol exposure: effects on child IQ and learning problems at age 7 1/2 years. Alcohol Clin Ex Res 1990;14(5):662–669. https://doi.org/10.1111/j.1530-0277.1990.tb01224.x
21. Streissguth AP, Barr HM, Sampson PD, et al. IQ at age 4 in relation to maternal alcohol use and smoking during pregnancy. Dev Psychol 1989;25(1),3–11. https://doi.org/10.1037/0012-16184.108.40.206
22. Streissguth, AP, Aase JM, Clarren SK, Randels SP, LaDue RA, Smith, DF. Fetal alcohol syndrome in adolescents and adults. JAMA 1991;265(15):1961–1967. https://doi:10.1001/jama.1991.03460150065025
23. Jacobson, S, Jacobson J, Sokol R, et al. Maternal age, alcohol abuse history, and quality of parenting as moderators of the effects of prenatal alcohol exposure on 7.5 year intellectual function. Alcohol Clin Ex Res 2004;28(11):1732–1745. https://doi.org/10.1097/01.ALC.0000145691.81233.FA
24. Millians MN. Educational needs and care of children with FASD. Curr Dev Disord Rep 2015;2(3):210–218. https://doi.org/10.1007/s40474-015-0055-5
25. Rasmussen C, Benz J, Pei J, et al. The impact of an ADHD co-morbidity on the diagnosis of FASD. J Popul Ther Clin Pharmacol 2010;17(1):e165–e176.
26. Fryer SL, McGee CL, Matt GE, et al. (2007). Evaluation of psychopathological conditions in children with heavy prenatal alcohol exposure. Pediatrics 2007;119(3):e733-e741. https://doi.org/10.1542/peds.2006-1606
27. Barkley RA, Murphy KR. Attention-deficit hyperactivity disorder: A clinical workbook. Guilford Press; 2006.
28. DuPaul GJ, Gormley MJ, Laracy SD. Comorbidity of LD and ADHD: Implications of DSM-5 for assessment and treatment. J Learn Disabil 2013;46(1):43–51. https://doi.org/10.1177/0022219412464351
29. Coles CD, Kable JA, Taddeo E. Math performance and behavior problems in children affected by prenatal alcohol exposure: intervention and follow-up. J Dev Behav Pediatr 2009;30(1):7–15. https://doi: 10.1097/DBP.0b013e3181966780
30. Kable JA, Coles CD, Taddeo E. Socio‐cognitive habilitation using the math interactive learning experience program for alcohol‐affected children. Alcohol Clin Ex Res 2007;31(8):1425–1434. https://doi.org/10.1111/j.1530-0277.2007.00431.x
31. Kully-Martens K, Pei J, Kable J, et al. Mathematics intervention for children with fetal alcohol spectrum disorder: A replication and extension of the math interactive learning experience (MILE) program. Res Dev Disabil 2018;78:55–65. https://doi.org/10.1016/j.ridd.2018.04.018
32. Trout AL, Hagaman J, Casey K, et al. The academic status of children and youth in out-of-home care: A review of the literature. Child Youth Serv Rev 2008;30(9):979–994. https://doi.org/10.1016/j.childyouth.2007.11.019
33. Eckenrode J, Laird M, Doris J. School performance and disciplinary problems among abused and neglected children. Dev Psychol 1993;29(1):53–62. https://doi.org/10.1037/0012-16220.127.116.11
34. Leiter J, Johnsen MC. Child maltreatment and school performance declines: An event-history analysis. Am Educ Res J 1997;34(3):563–589. https://doi.org/10.3102/00028312034003563
35. Stone S. Child maltreatment, out-of-home placement and academic vulnerability: A fifteen year review of evidence and future directions. Child Youth Serv Rev 2007;29(2):139–161. https://doi.org/10.1016/j.childyouth.2006.05.001
36. Jensen PS, Hoagwood KE, Roper M, et al. The services for children and adolescents–parent interview: Development and performance characteristics. J Am Acad Child Adolesc Psychiatry 2004;43(11):1334–1344. https://doi.org/10.1097/01.chi.0000139557.16830.4e
37. Woodcock RW, McGrew KS, Mather N. (2001). Woodcock-Johnson III. Itasca (IL): Riverside Publishing; 2001.
38. Woodcock RW, Johnson, MB. Woodcock-Johnson Psycho-educational Battery–Revised. Itasca (IL): Riverside Publishing; 1989.
39. Jacobson NS, Truax P. Clinical significance: A statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol 1991;51:12–19. https://doi.org/10.1037/10109-042
40. Rasmussen C, Bisanz J. Exploring Mathematics Difficulties in Children with Fetal Alcohol Spectrum Disorders. Child Dev Perspect 2009;3(2):125–130. https://doi.org/10.1111/j.1750-8606.2009.00091.x
41. Whaley SE, O'Connor MJ, Gunderson B. Comparison of the adaptive functioning of children prenatally exposed to alcohol to a nonexposed clinical sample. Alcohol Clin Ex Res 2001;25(7):1018–1024. https://doi.org/10.1111/j.1530-0277.2001.tb02311.x
42. Åse F, Ilona A, Mirjam K, et al. Adaptive behaviour in children and adolescents with foetal alcohol spectrum disorders: A comparison with specific learning disability and typical development. Eur Child Adolesc Psychiatry 2012;21(4):221–231. https://doi.org/10.1007/s00787-012-0256-y
43. Fletcher JM, Espy KA, Francis DJ, et al. Comparisons of cutoff and regression-based definitions of reading disabilities. J Learn Disabilities 1989;22(6):334–338. https://doi.org/10.1177/002221948902200603
44. Siegel L. IQ is irrelevant to the definition of learning disabilities. J Learn Disabilities 2007;22:469–467. https://doi.org/10.1177/002221948902200803