Skip to main content
Log in

The Effect of Neurocognitive Function on Math Computation in Pediatric ADHD: Moderating Influences of Anxious Perfectionism and Gender

  • Original Article
  • Published:
Child Psychiatry & Human Development Aims and scope Submit manuscript

Abstract

Predictors of math achievement in attention-deficit/hyperactivity disorder (ADHD) are not well-known. To address this gap in the literature, we examined individual differences in neurocognitive functioning domains on math computation in a cross-sectional sample of youth with ADHD. Gender and anxiety symptoms were explored as potential moderators. The sample consisted of 281 youth (aged 8–15 years) diagnosed with ADHD. Neurocognitive tasks assessed auditory-verbal working memory, visuospatial working memory, and processing speed. Auditory-verbal working memory speed significantly predicted math computation. A three-way interaction revealed that at low levels of anxious perfectionism, slower processing speed predicted poorer math computation for boys compared to girls. These findings indicate the uniquely predictive values of auditory-verbal working memory and processing speed on math computation, and their differential moderation. These findings provide preliminary support that gender and anxious perfectionism may influence the relationship between neurocognitive functioning and academic achievement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Merikangas KR, He J-P, Brody D, Fisher PW, Bourdon K, Koretz DS (2010) Prevalence and treatment of mental disorders among U.S. children in the 2001–2004 NHANES. Pediatrics 125(1):75–81

    Article  PubMed  Google Scholar 

  2. Polanczyk G, de Lima MS, Horta BL, Biederman J, Rohde LA (2007) The worldwide prevalence of ADHD: a systematic review and metaregression analysis. Am J Psychiatry 164(6):942–948

    Article  PubMed  Google Scholar 

  3. Gadow KD, Sprafkin J, Nolan EE (2001) DSM-IV symptoms in community and clinic preschool children. J Am Acad Child Adolesc Psychiatry 40(12):1383–1392

    Article  PubMed  Google Scholar 

  4. Fischer M, Barkley RA, Edelbrock CS, Smallish L (1990) The adolescent outcome of hyperactive children diagnosed by research criteria: II. Academic, attentional, and neuropsychological status. J Consult Clin Psychol 58(5):580–588

    Article  PubMed  Google Scholar 

  5. Mannuzza S, Klein RG, Bessler A, Malloy P, LaPadula M (1993) Adult outcome of hyperactive boys: educational achievement, occupational rank, and psychiatric status. Arch Gen Psychiatry 50(7):565–576

    Article  PubMed  Google Scholar 

  6. Lahey BB, Pelham WE, Loney J, Lee SS, Willcutt EG (2005) Instability of the DSM-IV subtypes of ADHD from preschool through elementary school. Arch Gen Psychiatry 62(8):896–902

    Article  PubMed  Google Scholar 

  7. Massetti GM, Lahey BB, Pelham WE, Loney J, Ehrhardt A, Lee SS et al (2008) Academic achievement over 8 years among children who met modified criteria for attention-deficit/hyperactivity disorder at 4–6 years of age. J Abnorm Child Psychol 36(3):399–410

    Article  PubMed  Google Scholar 

  8. Pingault J-B, Tremblay RE, Vitaro F, Carbonneau R, Genolini C, Falissard B et al (2011) Childhood trajectories of inattention and hyperactivity and prediction of educational attainment in early adulthood: a 16-year longitudinal population-based study. Am J Psychiatry 168(11):1164–1170

    Article  PubMed  Google Scholar 

  9. DuPaul GJ, Gormley MJ, Laracy SD (2013) Comorbidity of LD and ADHD: implications of DSM-5 for assessment and treatment. J Learn Disabil 46(1):43–51

    Article  PubMed  Google Scholar 

  10. Greven CU, Rijsdijk FV, Asherson P, Plomin R (2012) A longitudinal twin study on the association between ADHD symptoms and reading. J Child Psychol Psychiatry 53(3):234–242

    Article  PubMed  Google Scholar 

  11. Willcutt EG, Pennington BF (2000) Comorbidity of reading disability and attention-deficit/hyperactivity disorder: differences by gender and subtype. J Learn Disabil 33(2):179–191

    Article  PubMed  Google Scholar 

  12. Mok MMC, McInerney DM, Zhu J, Or A (2015) Growth trajectories of mathematics achievement: longitudinal tracking of student academic progress. Br J Educ Psychol 85(2):154–171

    Article  PubMed  Google Scholar 

  13. Xenidou-Dervou I, De Smedt B, van der Schoot M, van Lieshout ECDM (2013) Individual differences in kindergarten math achievement: the integrative roles of approximation skills and working memory. Learn Individ Differ 28:119–129

    Article  Google Scholar 

  14. James J (2013)The surprising impact of high school math on job market outcomes [Internet]. Available from: https://www.clevelandfed.org/newsroom-and-events/publications/economic-commentary/2013-economic-commentaries/ec-201314-the-surprising-impact-of-high-school-math-on-job-market-outcomes.aspx

  15. Ritchie SJ, Bates TC (2013) Enduring links from childhood mathematics and reading achievement to adult socioeconomic status. Psychol Sci 24(7):1301–1308

    Article  Google Scholar 

  16. Loo SK, Humphrey LA, Tapio T, Moilanen IK, McGough JJ, McCracken JT et al (2007) Executive functioning among Finnish adolescents with attention-deficit/hyperactivity disorder. J Am Acad Child Adolesc Psychiatry 46(12):1594–1604

    Article  PubMed  Google Scholar 

  17. Shanahan MA, Pennington BF, Yerys BE, Scott A, Boada R, Willcutt EG et al (2006) Processing speed deficits in attention deficit/hyperactivity disorder and reading disability. J Abnorm Child Psychol 34(5):584

    Article  Google Scholar 

  18. Willcutt EG, Doyle AE, Nigg JT, Faraone SV, Pennington BF (2005) Validity of the executive function theory of attention-deficit/hyperactivity disorder: a meta-analytic review. Biol Psychiatry 57(11):1336–1346

    Article  PubMed  Google Scholar 

  19. Raiford SE, Weiss LG, Rolfhus E, Coalson D (2005) Technical report #4 general ability index

  20. Mayes SD, Calhoun SL (2007) Wechsler intelligence scale for children-third and -fourth edition predictors of academic achievement in children with attention-deficit/hyperactivity disorder. Sch Psychol Quart 22(2):234–249

    Article  Google Scholar 

  21. Jarrold C, Mackett N, Hall D (2014) Individual differences in processing speed mediate a relationship between working memory and children’s classroom behaviour. Learn Individ Differ 30:92–97

    Article  Google Scholar 

  22. Lewandowski LJ, Lovett BJ, Parolin R, Gordon M, Codding RS (2007) Extended time accommodations and the mathematics performance of students with and without ADHD. J Psychoeduc Assess 25(1):17–28

    Article  Google Scholar 

  23. Camarata S, Woodcock R (2006) Sex differences in processing speed: developmental effects in males and females. Intelligence 34(3):231–252

    Article  Google Scholar 

  24. Rucklidge JJ, Tannock R (2002) Neuropsychological profiles of adolescents with ADHD: effects of reading difficulties and gender. J Child Psychol Psychiatry 43(8):988–1003

    Article  PubMed  Google Scholar 

  25. Seidman LJ, Biederman J, Monuteaux MC, Valera E, Doyle AE, Faraone SV (2005) Impact of gender and age on executive functioning: do girls and boys with and without attention deficit hyperactivity disorder differ neuropsychologically in preteen and teenage years? Dev Neuropsychol 27(1):79–105

    Article  PubMed  Google Scholar 

  26. Rucklidge JJ, Tannock R (2001) Psychiatric, psychosocial, and cognitive functioning of female adolescents with ADHD. J Am Acad Child Adolesc Psychiatry 40(5):530–540

    Article  PubMed  Google Scholar 

  27. Hyde JS, Lindberg SM, Linn MC, Ellis AB, Williams CC (2008) Gender similarities characterize math performance. Science 321(5888):494–495

    Article  PubMed  Google Scholar 

  28. Bull R, Espy KA, Wiebe SA (2008) Short-term memory, working memory, and executive functioning in preschoolers: longitudinal predictors of mathematical achievement at age 7 years. Dev Neuropsychol 33(3):205–228

    Article  PubMed  PubMed Central  Google Scholar 

  29. Raghubar KP, Barnes MA, Hecht SA (2010) Working memory and mathematics: a review of developmental, individual difference, and cognitive approaches. Learn Individ Differ 20(2):110–122

    Article  Google Scholar 

  30. Rennie B, Beebe-Frankenberger M, Swanson HL (2014) A longitudinal study of neuropsychological functioning and academic achievement in children with and without signs of attention-deficit/hyperactivity disorder. J Clin Exp Neuropsychol 36(6):621–635

    Article  PubMed  Google Scholar 

  31. Derakshan N, Eysenck MW (2009) Anxiety, processing efficiency, and cognitive performance: new developments from attentional control theory. Eur Psychol 14(2):168–176

    Article  Google Scholar 

  32. Ghanizadeh A, Mohammadi MR, Moini R (2008) Comorbidity of psychiatric disorders and parental psychiatric disorders in a sample of Iranian children with ADHD. J Atten Disord 12(2):149–155

    Article  PubMed  Google Scholar 

  33. Bloemsma JM, Boer F, Arnold R, Banaschewski T, Faraone SV, Buitelaar JK et al (2013) Comorbid anxiety and neurocognitive dysfunctions in children with ADHD. Eur Child Adolesc Psychiatry 22(4):225–234

    Article  PubMed  Google Scholar 

  34. American Psychiatric Association (2013) Diagnostic and statistical manual of mental disorders. 5th edn. American Psychiatric Association, Washington, D. C.

    Book  Google Scholar 

  35. Hechtman L, Abikoff H, Klein RG, Weiss G, Respitz C, Kouri J et al (2004) Academic achievement and emotional status of children with ADHD treated with long-term methylphenidate and multimodal psychosocial treatment. J Am Acad Child Adolesc Psychiatry 43(7):812–819

    Article  PubMed  Google Scholar 

  36. Currie J, Stabile M, Jones L (2014) Do stimulant medications improve educational and behavioral outcomes for children with ADHD?. J Health Econ 37:58–69

    Article  PubMed  PubMed Central  Google Scholar 

  37. Shaw M, Hodgkins P, Caci H, Young S, Kahle J, Woods AG et al (2012) A systematic review and analysis of long-term outcomes in attention deficit hyperactivity disorder: effects of treatment and non-treatment. BMC Med 10:99

    Article  PubMed  PubMed Central  Google Scholar 

  38. Loe IM, Feldman HM (2007) Academic and educational outcomes of children with ADHD. J Pediatr Psychol 32(6):643–654

    Article  PubMed  Google Scholar 

  39. Biederman J, Petty CR, Clarke A, Lomedico A, Faraone SV (2011) Predictors of persistent ADHD: an 11-year follow-up study. J Psychiatr Res 45(2):150–155

    Article  PubMed  Google Scholar 

  40. Sub A, Prabha C (2003) Academic performance in relation to perfectionism, test procrastination and test anxiety of high school children. Psychol Stud 48(3):77–81

    Google Scholar 

  41. Jensen P, Arnold LE, Richters JE, Severe JB, Vereen D, Vitiello B, Schiller E, Hinshaw S, Elliott GR, Conners CK, Wells KC (1999) Moderators and mediators of treatment response for children with attention-deficit/hyperactivity disorder: the Multimodal Treatment Study of children with Attention-deficit/hyperactivity disorder. Arch Gen Psychiatry 56(12):1088–1096

    Article  Google Scholar 

  42. McCracken JT, McGough JJ, Loo SK, Levitt J, Del’Homme M, Cowen J et al. (2016) Combined stimulant and guanfacine administration in attention-deficit/hyperactivity disorder: a controlled, comparative study. J Am Acad Child Adolesc Psychiatry 55(8):657–666

    Article  PubMed  PubMed Central  Google Scholar 

  43. Wechsler D (1999) Wechsler abbreviated scale of intelligence. Psychological Corporation, San Antonio

    Google Scholar 

  44. Chhabildas N, Pennington BF, Willcutt EG (2001) A comparison of the neuropsychological profiles of the DSM-IV subtypes of ADHD. J Abnorm Child Psychol 29(6):529–540

    Article  PubMed  Google Scholar 

  45. Kaufman J, Birmaher B, Brent D, Rao U, Flynn C, Moreci P et al (1997) Schedule for affective disorders and schizophrenia for school-age children-present and lifetime version (K-SADS-PL): initial reliability and validity data. J Am Acad Child Adolesc Psychiatry 36(7):980–988

    Article  PubMed  Google Scholar 

  46. Mayes SD, Calhoun SL (2006) WISC-IV and WISC-III profiles in children with ADHD. J Atten Disord 9(3):486–493

    Article  PubMed  Google Scholar 

  47. Hale JB, Fiorello CA, Bertin M, Sherman R (2003) Predicting math achievement through neuropsychological interpretation of WISC-III variance components. J Psychoeduc Assess 21(4):358–380

    Article  Google Scholar 

  48. Wechsler D (2003) WISC-IV technical and interpretive manual. Psychological Corporation, San Antonio

    Google Scholar 

  49. March JS, Parker JD, Sullivan K, Stallings P, Conners CK (1997) The multidimensional anxiety scale for children (MASC): factor structure, reliability, and validity. J Am Acad Child Adolesc Psychiatry 36(4):554–565

    Article  PubMed  Google Scholar 

  50. Grills-Taquechel AE, Ollendick TH, Fisak B (2008) Reexamination of the MASC factor structure and discriminant ability in a mixed clinical outpatient sample. Depress Anxiety 25(11):942–950

    Article  PubMed  Google Scholar 

  51. March JS, Conners C, Arnold G, Epstein J, Parker J, Hinshaw S et al (1999) The multidimensional anxiety scale for children (MASC): confirmatory factor analysis in a pediatric ADHD sample. J Atten Disord 3(2):85–89

    Article  Google Scholar 

  52. Wilkinson GS, Robertson GJ (2006) Wide range achievement test. Fourth. Psychological Assessment Resources, Lutz

    Google Scholar 

  53. Chen Q, Li J (2014) Association between individual differences in non-symbolic number acuity and math performance: a meta-analysis. Acta Psychol 148:163–172

    Article  Google Scholar 

  54. Swanson HL, Beebe-Frankenberger M (2004) The relationship between working memory and mathematical problem solving in children at risk and not at risk for serious math difficulties. J Educ Psychol 96(3):471–491

    Article  Google Scholar 

  55. Aiken LS, West SG (1991) Multiple regression: testing and interpreting interactions. Sage, Thousand Oaks

    Google Scholar 

  56. Geary DC, Hoard MK, Byrd-Craven J, DeSoto MC (2004) Strategy choices in simple and complex addition: contributions of working memory and counting knowledge for children with mathematical disability. J Exp Child Psychol 88(2):121–151

    Article  PubMed  Google Scholar 

  57. Ashcraft MH (1982) The development of mental arithmetic: a chronometric approach. Dev Rev 2(3):213–236

    Article  Google Scholar 

  58. Fuchs LS, Fuchs D, Compton DL, Powell SR, Seethaler PM, Capizzi AM et al (2006) The cognitive correlates of third-grade skill in arithmetic, algorithmic computation, and arithmetic word problems. J Educ Psychol 98(1):29–43

    Article  Google Scholar 

  59. Passolunghi MC, Lanfranchi S (2012) Domain-specific and domain-general precursors of mathematical achievement: a longitudinal study from kindergarten to first grade. Br J Educ Psychol 82(Pt 1):42–63

    Article  PubMed  Google Scholar 

  60. Georgiou GK, Tziraki N, Manolitsis G, Fella A (2013) Is rapid automatized naming related to reading and mathematics for the same reason(s)? A follow-up study from kindergarten to Grade 1. J Exp Child Psychol 115(3):481–496

    Article  PubMed  Google Scholar 

  61. MTA Cooperative Group (1999) A 14-month randomized clinical trial of treatment strategies for attention-deficit/hyperactivity disorder. Arch Gen Psychiatry 56(12):1073–1086

    Article  Google Scholar 

  62. Walkup JT, Albano AM, Piacentini J, Birmaher B, Compton SN, Sherrill JT et al. (2008) Cognitive behavioral therapy, sertraline, or a combination in childhood anxiety. N Engl J Med 359(26):2753–2766

    Article  PubMed  PubMed Central  Google Scholar 

  63. Gettinger M, Hurd HD (2011) Developing and implementing evidence-based academic interventions. In: Davis A (ed) The handbook of pediatric neuropsychology. Springer, New York, pp 1167–1179

    Google Scholar 

  64. Tosto MG, Momi SK, Asherson P, Malki K (2015) A systematic review of attention deficit hyperactivity disorder (ADHD) and mathematical ability: current findings and future implications. BMC Med 13:204

    Article  PubMed  PubMed Central  Google Scholar 

  65. Birmaher B, Brent DA, Chiappetta L, Bridge J, Monga S, Baugher M (1999) Psychometric properties of the screen for child anxiety related emotional disorders (SCARED): a replication study. J Am Acad Child Adolesc Psychiatry 38(10):1230–1236

    Article  PubMed  Google Scholar 

  66. March JS (2012) Manual for the multidimensional anxiety scale for children-(MASC 2). MHS, North Tonawanda

    Google Scholar 

  67. Wechsler D (2011) Wechsler abbreviated scale of intelligence, 2nd edn. Pearson, Bloomington

    Google Scholar 

  68. Wechsler D (2014) WISC-V: administration and scoring manual. NCS Pearson, Bloomington

    Google Scholar 

Download references

Funding

This work was partially supported by NIMH P50 MH “Translational Research to Enhance Cognitive Control” [McCracken] and NIH/National Center for Advancing Translational Science UCLA CTSI UL1TR000124 [Rozenman]. The authors would like to acknowledge and thank the children and their parents who participated in this research.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexandra Sturm.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sturm, A., Rozenman, M., Piacentini, J.C. et al. The Effect of Neurocognitive Function on Math Computation in Pediatric ADHD: Moderating Influences of Anxious Perfectionism and Gender. Child Psychiatry Hum Dev 49, 822–832 (2018). https://doi.org/10.1007/s10578-018-0798-4

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10578-018-0798-4

Keywords

Navigation