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Parent-perceived child cognitive function: results from a sample drawn from the US general population

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Abstract

Purposes

This paper reports the development and evaluation of a perceived cognitive function (pedsPCF) item bank reported by parents of the pediatric US general population.

Methods

Based on feedback from clinicians, parents, and children, we developed a scale sampling concerns related to children’s cognitive functioning. We administered the scale to 1,409 parents of children aged 7–17 years; of them, 319 had a neurological diagnosis. Dimensionality of the pedsPCF was evaluated via factor analyses and its clinical utility studied by comparing parent ratings in patient groups and symptom cluster defined by the Child Behavior Checklist (CBCL).

Results

Forty-four of 45 items met criteria for unidimensionality. The pedsPCF significantly differentiated samples defined by medication use, repeated grades, special education status, neurologic diagnosis, and relevant symptom clusters with large effect sizes (>0.8). It can predicted children symptoms with the correction rates ranging 79–89%.

Conclusions

We have provided empirical support for the unidimensionality of the pedsPCF item bank and evidence for its potential clinical utility. The pedsPCF is a promising measurement tool to screen children for further comprehensive cognitive tests.

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References

  1. Mulhern RK, Merchant TE, Gajjar A, Reddick WE, Kun LE (2004) Late neurocognitive sequelae in survivors of brain tumours in childhood. Lancet Oncol 5:399–408

    Article  PubMed  Google Scholar 

  2. Meador KJ (2002) Cognitive outcomes and predictive factors in epilepsy. Neurology 58:S21–S26

    PubMed  Google Scholar 

  3. Conway MA (1991) In defense of everyday memory. Am Psychol 46:19–26

    Article  Google Scholar 

  4. Loftus EF (1991) The glitter of everyday memory and the gold. Am Psychol 46:16–18

    Article  CAS  PubMed  Google Scholar 

  5. Chaytor N, Schmitter-Edgecombe M (2003) The ecological validity of neuropsychological tests: a review of the literature on everyday cognitive skills. Neuropsychol Rev 13:181–197

    Article  PubMed  Google Scholar 

  6. Silver CH (2000) Ecological validity of neuropsychological assessment in childhood traumatic brain injury. J Head Trauma Rehabil 15:973–988

    Article  CAS  PubMed  Google Scholar 

  7. Dufouil C, Fuhrer R, Alperovitch A (2005) Subjective cognitive complaints and cognitive decline: consequence or predictor? The epidemiology of vascular aging study. J Am Geriatr Soc 53:616–621

    Article  PubMed  Google Scholar 

  8. Zimprich D, Martin M, Kliegel M (2003) Subjective cognitive complaints, memory performance, and depressive affect in old age: a change-oriented approach. Int J Aging Hum Dev 57:339–366

    Article  PubMed  Google Scholar 

  9. Blazer DG, Hays JC, Fillenbaum GG, Gold DT (1997) Memory complaint as a predictor of cognitive decline: a comparison of African American and white elders. J Aging Health 9:171–184

    Article  CAS  PubMed  Google Scholar 

  10. Jorm AF, Christensen H, Korten AE, Henderson AS, Jacomb PA, MacKinnon A (1997) Do cognitive complaints either predict future cognitive decline or reflect past cognitive decline? A longitudinal study of an elderly community sample. Psychol Med 27:91–98

    Article  CAS  PubMed  Google Scholar 

  11. Christodoulou C, Melville P, Scherl WF, Morgan T, MacAllister WS, Canfora DM, Berry SA, Krupp LB (2005) Perceived cognitive dysfunction and observed neuropsychological performance: longitudinal relation in persons with multiple sclerosis. J Int Neuropsychol Soc 11:614–619

    Article  PubMed  Google Scholar 

  12. Banos JH, LaGory J, Sawrie S, Faught E, Knowlton R, Prasad A, Kuzniecky R, Martin RC (2004) Self-report of cognitive abilities in temporal lobe epilepsy: cognitive, psychosocial, and emotional factors. Epilepsy Behav 5:575–579

    Article  PubMed  Google Scholar 

  13. Allen CC, Ruff RM (1990) Self-rating versus neuropsychological performance of moderate versus severe head-injured patients. Brain Inj 4:7–17

    Article  CAS  PubMed  Google Scholar 

  14. Kadis DS, Stollstorff M, Elliott I, Lach L, Smith ML (2004) Cognitive and psychological predictors of everyday memory in children with intractable epilepsy. Epilepsy Behav 5:37–43

    Article  PubMed  Google Scholar 

  15. de Groot JC, de Leeuw FE, Oudkerk M, Hofman A, Jolles J, Breteler MM (2001) Cerebral white matter lesions and subjective cognitive dysfunction: the Rotterdam Scan Study. Neurology 56:1539–1545

    PubMed  Google Scholar 

  16. Ferguson RJ, McDonald BC, Saykin AJ, Ahles TA (2007) Brain structure and function differences in monozygotic twins: possible effects of breast cancer chemotherapy. J Clin Oncol 25:3866–3870

    Article  PubMed  Google Scholar 

  17. Mahone EM, Martin R, Kates WR, Hay T, Horska A (2009) Neuroimaging correlates of parent ratings of working memory in typically developing children. J Int Neuropsychol Soc 15:31–41

    Article  PubMed  Google Scholar 

  18. Soni MK, Cella D (2002) Quality of life and symptom measures in oncology: an overview. Am J Manage Care 8:S560–S573

    Google Scholar 

  19. Hahn EA, Cella D (2003) Health outcomes assessment in vulnerable populations: measurement challenges and recommendations. Arch Phys Med Rehabil 84:S35–S42

    Article  PubMed  Google Scholar 

  20. Nathan PC, Patel SK, Dilley K, Goldsby R, Harvey J, Jacobsen C, Kadan-Lottick N, McKinley K, Millham AK, Moore I, Okcu MF, Woodman CL, Brouwers P, Armstrong FD (2007) Guidelines for identification of, advocacy for, and intervention in neurocognitive problems in survivors of childhood cancer: a report from the Children’s Oncology Group. Arch Pediatr Adolesc Med 161:798–806

    Article  PubMed  Google Scholar 

  21. Achenbach TM (1991) Integrative guide to the 1991 CBCL/4–18, YSR, and TRF profiles. University of Vermont, Department of Psychology, Burlington, VT

    Google Scholar 

  22. McDonald RP (1999) Test Theory: A unified treatment. Lawrence Earlbaum Associates, Inc., Mahwah, NJ

    Google Scholar 

  23. Reise SP, Morizot J, Hays RD (2007) The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Qual Life Res 16(Suppl 1):19–31

    Article  PubMed  Google Scholar 

  24. Lai JS, Crane PK, Cella D (2006) Factor analysis techniques for assessing sufficient unidimensionality of cancer related fatigue. Qual Life Res 15:1179–1190

    Article  PubMed  Google Scholar 

  25. Lai JS, Butt Z, Wagner L, Sweet JJ, Beaumont JL, Vardy J, Jacobsen PB, Jacobs SR, Shapiro PJ, Cella D (2009) Evaluating the dimensionality of perceived cognitive function. J Pain Symptom Manage 37:982–995

    Article  PubMed  Google Scholar 

  26. Cook KF, Kallen MA, Amtmann D (2009) Having a fit: impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption. Qual Life Res 18:447–460

    Article  PubMed  Google Scholar 

  27. Czyzewski DI, Mariotto MJ, Bartholomew LK, LeCompte SH, Sockrider MM (1994) Measurement of quality of well being in a child and adolescent cystic fibrosis population. Med Care 32:965–972

    Article  CAS  PubMed  Google Scholar 

  28. Hinds PS, Hockenberry M, Rai SN, Zhang L, Razzouk BI, Cremer L, McCarthy K, Rodriguez-Galindo C (2007) Clinical field testing of an enhanced-activity intervention in hospitalized children with cancer. J Pain Symptom Manage 33:686–697

    Article  PubMed  Google Scholar 

  29. Lustig RH, Hinds PS, Ringwald-Smith K, Christensen RK, Kaste SC, Schreiber RE, Rai SN, Lensing SY, Wu S, Xiong X (2003) Octreotide therapy of pediatric hypothalamic obesity: a double-blind, placebo-controlled trial. J Clin Endocrinol Metab 88:2586–2592

    Article  CAS  PubMed  Google Scholar 

  30. Flavell JH (1979) Metacognitive and cognitive monitoring: a new area of cognitive developmental inquiry. Am Psychol 34:906–911

    Article  Google Scholar 

  31. Schwartz BL, Perfect TJ, Perfect T (2002) Introduction: toward an applied metacognition. Applied metacognition. Cambridge University Press, West Nyack, p 1EP-10

    Google Scholar 

  32. Mahone EM, Zabel TA, Levey E, Verda M, Kinsman S (2002) Parent and self-report ratings of executive function in adolescents with myelomeningocele and hydrocephalus. Child Neuropsychol 8:258–270

    PubMed  Google Scholar 

  33. Chen WH, Revicki DA, Lai JS, Cook KF, Amtmann D (2009) Linking pain items from two studies onto a common scale using item response theory. J Pain Symptom Manage 38:615–628

    Article  PubMed  Google Scholar 

  34. Castellon SA, Ganz PA, Bower JE, Petersen L, Abraham L, Greendale GA (2004) Neurocognitive performance in breast cancer survivors exposed to adjuvant chemotherapy and tamoxifen. J Clin Exp Neuropsychol 26:955–969

    Article  PubMed  Google Scholar 

  35. Bennett-Levy J, Polkey CE, Powell GE (1980) Self-report of memory skills after temporal lobectomy: the effect of clinical variables. Cortex 16:543–557

    CAS  PubMed  Google Scholar 

  36. Larrabee GJ, Levin HS (1986) Memory self-ratings and objective test performance in a normal elderly sample. J Clin Exp Neuropsychol 8:275–284

    Article  CAS  PubMed  Google Scholar 

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Acknowledgement

This project is supported by the National Cancer Institute (Grant number: R01CA125671; PI: Jin-Shei Lai). Dr. Butt’s time is supported in part by grant KL2RR0254740 from the National Center for Research Resources, National Institutes of Health.

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Correspondence to Jin-Shei Lai.

Appendix

Appendix

Table 5 Parent-reported pedsPCF item bank (pedsPCF)

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Lai, JS., Zelko, F., Butt, Z. et al. Parent-perceived child cognitive function: results from a sample drawn from the US general population. Childs Nerv Syst 27, 285–293 (2011). https://doi.org/10.1007/s00381-010-1230-y

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  • DOI: https://doi.org/10.1007/s00381-010-1230-y

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