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Recovery trajectories of IQ after pediatric TBI: A latent class growth modeling analysis

Published online by Cambridge University Press:  21 August 2023

Megan E. Narad*
Affiliation:
Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
Julia Smith-Paine
Affiliation:
Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
Amy Cassedy
Affiliation:
Cincinnati Children’s Hospital Medical Center, Cincinnati, USA University of Cincinnati, Cincinnati, USA
Elizabeth LeBlond
Affiliation:
Cincinnati Children’s Hospital Medical Center, Cincinnati, USA University of Cincinnati, Cincinnati, USA
H. Gerry Taylor
Affiliation:
Nationwide Children’s Hospital, Columbus, USA The Ohio State University, Columbus, USA
Keith Owen Yeates
Affiliation:
University of Calgary, Calgary, Canada
Shari L. Wade
Affiliation:
Cincinnati Children’s Hospital Medical Center, Cincinnati, USA University of Cincinnati, Cincinnati, USA
*
Corresponding author: M. E. Narad; Email: megan.narad@cchmc.org

Abstract

Objective:

To identify latent trajectories of IQ over time after pediatric traumatic brain injury (TBI) and examine the predictive value of risk factors within and across recovery trajectories.

Method:

206 children ages 3–7 years at injury were included: 87 TBI (23 severe, 21 moderate, 43 complicated mild) and 119 orthopedic injury (OI). We administered intelligence tests shortly after injury (1½ months), 12 months, and 6.8 years postinjury. Latent class growth modeling was used to identify latent subgroups. Separate models examined verbal and nonverbal IQ recovery trajectories following TBI versus OI. Variables included: age at injury, sex, race, socioeconomic status, injury severity, quality of the home environment, family functioning, and parenting style.

Results:

Both the TBI and OI analyses yielded different growth models for nonverbal (k = 3) and verbal IQ (k = 3). Although all models resulted in 3 latent classes (below average, average, and aboveaverage performance); trajectory shapes, contributors to class membership, and performance within each class varied by injury group and IQ domain. TBI severity was associated with class membership for nonverbal IQ, with less severe injuries associated with higher IQ scores; however, TBI severity did not influence verbal IQ class membership. Parenting style had a more prominent effect on verbal and nonverbal IQ within the TBI than OI trajectories.

Conclusions:

Findings suggest TBI severity is related to recovery trajectories for nonverbal but not verbal IQ and parenting style has stronger effects on recovery in TBI than OI. Results highlight the importance of parental factors on long-term recovery after TBI.

Type
Research Article
Copyright
Copyright © INS. Published by Cambridge University Press 2023

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References

Anderson, V., Catroppa, C., Godfrey, C., & Rosenfeld, J. V. (2012). Intellectual ability 10 years after traumatic brain injury in infancy and childhood: What predicts outcome? Journal of Neurotrauma, 29(1), 143153. https://doi.org/10.1089/neu.2011.2012 CrossRefGoogle ScholarPubMed
Anderson, V., Catroppa, C., Morse, S., Haritou, F., & Rosenfeld, J. (2000). Recovery of intellectual ability following traumatic brain injury in childhood: Impact of injury severity and age at injury [Comparative study. research support, non-U.S. Gov't]. Pediatric Neurosurgery, 32(6), 282290.CrossRefGoogle ScholarPubMed
Anderson, V., Catroppa, C., Morse, S., Haritou, F., & Rosenfeld, J. (2005). Functional plasticity or vulnerability after early brain injury? Pediatrics, 116(6), 13741382. https://doi.org/10.1542/peds.2004-1728 CrossRefGoogle ScholarPubMed
Anderson, V., Godfrey, C., Rosenfeld, J. V., & Catroppa, C. (2012). Predictors of cognitive function and recovery 10 years after traumatic brain injury in young children. Pediatrics, 129(2), e254261. https://doi.org/10.1542/peds.2011-0311 CrossRefGoogle ScholarPubMed
Anderson, V. A., Catroppa, C., Dudgeon, P., Morse, S. A., Haritou, F., & Rosenfeld, J. V. (2006). Understanding predictors of functional recovery and outcome 30 months following early childhood head injury [Research support, non-U. S. Gov't]. Neuropsychology, 20(1), 4257. https://doi.org/10.1037/0894-4105.20.1.42 CrossRefGoogle ScholarPubMed
Anderson, V. A., Catroppa, C., Haritou, F., Morse, S., & Rosenfeld, J. V. (2005). Identifying factors contributing to child and family outcome 30 months after traumatic brain injury in children. Journal of Neurology, Neurosurgery and Psychiatry, 76(3), 401408. https://doi.org/10.1136/jnnp.2003.019174 CrossRefGoogle ScholarPubMed
Babikian, T., & Asarnow, R. (2009). Neurocognitive outcomes and recovery after pediatric TBI: Meta-analytic review of the literature. Neuropsychology, 23(3), 283296. https://doi.org/10.1037/a0015268 CrossRefGoogle ScholarPubMed
Baumrind, D. (1967). Child care practices anteceding three patterns of preschool behavior. Genetic Psychology Monographs, 75(1), 4388.Google ScholarPubMed
Baumrind, D. (1971). Current patterns of parental authority. Developmental Psychology Monograph, 4(1, Pt.2), 1103.CrossRefGoogle Scholar
Berlin, K. S., Williams, N. A., & Parra, G. R. (2014). An introduction to latent variable mixture modeling (part 1): Overview and cross-sectional latent class and latent profile analyses. Journal of pediatric psychology, 39(2), 174187.CrossRefGoogle ScholarPubMed
Bradley, R. H., Caldwell, B., & Corwyn, R. F., et al. (2003). The child care HOME inventories: Assessing the quality of family child care homes. Early Childhood Research Quarterly, 18(3), 294309. https://doi.org/10.1016/S0885-2006(03)00041-3 CrossRefGoogle Scholar
Bradley, R. H., Caldwell, B. M., Rock, S. L., Ramey, C. T., Barnard, K. E., Gray, C., Hammond, M. A., Mitchell, S., Gottfried, A. W., Siegel, L. (1989). Home environment and cognitive development in the first 3 years of life: A collaborative study involving six sites and three ethnic groups in North America. Developmental Psychology, 25(2), 217235.CrossRefGoogle Scholar
Bradley, R. H., & Corwyn, R. F. (2002). Socioeconomic status and child development. Annual Review of Psychology, 53(1), 371399.CrossRefGoogle ScholarPubMed
Catroppa, C., & Anderson, V. (2009). Neurodevelopmental outcomes of pediatric traumatic brain injury. Future Neurology, 4(6), 811821.CrossRefGoogle Scholar
Catroppa, C., Anderson, V. A., Muscara, F., Morse, S. A., Haritou, F., Rosenfeld, J. V., & Heinrich, L. M. (2009). Educational skills: Long-term outcome and predictors following paediatric traumatic brain injury. Neuropsychological Rehabilitation, 19(5), 716732. https://doi.org/10.1080/09602010902732868 CrossRefGoogle ScholarPubMed
Cole, M., Cole, S. R., & Lightfoot, C. (2005). The development of children. (5th edn). New York: Worth Publishers.Google Scholar
Crowe, L. M., Catroppa, C., Babl, F. E., & Anderson, V. (2012). Intellectual, behavioral, and social outcomes of accidental traumatic brain injury in early childhood. Pediatrics, 129(2), e262268. https://doi.org/10.1542/peds.2011-0438 CrossRefGoogle ScholarPubMed
Crowe, L. M., Catroppa, C., Babl, F. E., Godfrey, C., & Anderson, V. (2021). Long-term intellectual function after traumatic brain injury in very young children. Journal of Head Trauma and Rehabilitation, 36(2), E126133.CrossRefGoogle ScholarPubMed
Crowe, L. M., Catroppa, C., Babl, F. E., Rosenfeld, J. V., & Anderson, V. (2012). Timing of traumatic brain injury in childhood and intellectual outcome. Journal of Pediatric Psychology, 37(7), 745754. https://doi.org/10.1093/jpepsy/jss070 CrossRefGoogle ScholarPubMed
Donders, J. (1996). Cluster subtypes in the WISC-III standardization sample: Analysis of factor index scores. Psychological Assessment, 8(3), 312318.CrossRefGoogle Scholar
Donders, J. (1999). Cluster subtypes in the standardization sample of the California verbal learning test-children’s version. Developmental Neuropsychology, 16(2), 163175.CrossRefGoogle Scholar
Doners, J. (1998). Cluster subtypes in the children’s category test standardization sample. Child Neuropsychology, 4(3), 178186.CrossRefGoogle Scholar
Elliott, C. D., Murray, G. J., & Pearson, L. S. (1990). Differential ability scales. San Antonio, TX: The Psychological Corporation.Google Scholar
Epstein, N. B., Baldwin, L. M., & Bishop, D. S. (1983). The mcmaster family assessment device. Journal of Marital and Family Therapy, 9(2), 171180.CrossRefGoogle Scholar
Ewing-Cobbs, L., Fletcher, J. M., Levin, H. S., Francis, D. J., Davidson, K., & Miner, M. E. (1997). Longitudinal neuropsychological outcome in infants and preschoolers with traumatic brain injury [Research support, U.S. Gov't, P.H.S.]. Journal of the International Neuropsychological Society, 3(6), 581591.CrossRefGoogle ScholarPubMed
Ewing-Cobbs, L., Prasad, M. R., Kramer, L., Cox, C. S. Jr., Baumgartner, J., Fletcher, S., Mendez, D., Barnes, M., Zhang, X., Swank, P. (2006). Late intellectual and academic outcomes following traumatic brain injury sustained during early childhood. Journal of Neurosurgery, 105(4 Suppl), 287296. https://doi.org/10.3171/ped.2006.105.4.287 Google ScholarPubMed
Gerrard-Morris, A., Taylor, H. G., Yeates, K. O., Walz, N. C., Stancin, T., Minich, N., & Wade, S. L. (2010). Cognitive development after traumatic brain injury in young children [Research support, N.I.H., extramural]. Journal of the International Neuropsychological Society, 16(1), 157168. DOI: https://doi.org/10.1017/S1355617709991135 CrossRefGoogle ScholarPubMed
Gerring, J., & Wade, S. (2012). The essential role of psycholosocial risk and protective factors in pediatric traumatic brain injury. Research Journal of Neurotrama, 29(4), 621628.Google Scholar
Glutting, J. J., McDermott, P. A., & Konold, T. R. (1997). Ontology, structure, and diagnostic benefits of a normative subtest taxonomy from the WISC-III standardization sample. In Contemporary intellectual assessment: Theories, tests, and issues (pp. 349372). The Guilford Press.Google Scholar
Hoff, E., Laursen, B., & Tardif, T. (2002). Socioeconomic status and parenting. In Bornstein, M. H. (Eds.), Handbook of parenting: volume 2 biology and ecology of parenting (pp. 231252). Erlbaun, Biology and Ecology of Parenting (volGoogle Scholar
Keenan, H. T., Presson, A. P., Clark, A. E., Cox, C. S., & Ewing-Cobbs, L. (2019). Longitudinal developmental outcomes after traumatic brain injury in young children: Are infants more vulnerable than toddlers? Journal of Neurotrauma, 36(2), 282292. https://doi.org/10.1089/neu.2018.5687 CrossRefGoogle ScholarPubMed
Kriel, R. L., Krach, L. E., & Panser, L. A. (1989). Closed head injury: Comparison of children younger and older than 6 years of age. Pediatric Neurology, 5(5), 296300.CrossRefGoogle ScholarPubMed
Li, L., & Liu, J. (2013). The effect of pediatric traumatic brain injury on behavioral outcomes: A systematic review. Developmental Medicine and Child Neurology, 55(1), 3745. https://doi.org/10.1111/j.1469-8749.2012.04414.x CrossRefGoogle ScholarPubMed
McCauley, S. R., Wilde, E. A., Anderson, V. A., et al. (2012). Recommendations for the use of common outcome measures in pediatric traumatic brain injury research. Journal of Neurotrama, 29(4), 678705.CrossRefGoogle ScholarPubMed
Micklewright, J. L., King, T. Z., O'Toole, K., Henrich, C., & Floyd, F. J. (2012). Parental distress, parenting practices, and child adaptive outcomes following traumatic brain injury. Journal of the International Neuropsychological Society, 18(2), 343350. https://doi.org/10.1017/s1355617711001792 CrossRefGoogle ScholarPubMed
Moscato, E. L., Peugh, J., Taylor, H. G., Stancin, T., Kirkwood, M. W., & Wade, S. L. (2021). Bidirectional effects of behavior problems and parenting behaviors following adolescent brain injury. Rehabilitation Psychology, 66(3), 273285. https://doi.org/10.1037/rep0000380 CrossRefGoogle ScholarPubMed
Muthén, L. K., & Muthén, B. O. (2002). How to use a monte carlo study to decide on sample size and determine power. Structural Equation Modeling, 9(4), 599620.CrossRefGoogle Scholar
Nagin, D. S. (2005). Group-based modeling of development. Cambridge, MA: Harvard University Press.CrossRefGoogle Scholar
Noble, K. G., Norman, M. F., & Farah, M. J. (2005). Neurocognitive correlates of socioeconomic status in kindergarten children. Developmental Science, 8(1), 7487.CrossRefGoogle ScholarPubMed
Potter, J. L., Wade, S. L., Walz, N. C., Cassedy, A., Stevens, M. H., Yeates, K. O., & Taylor, H. G. (2011). Parenting style is related to executive dysfunction after brain injury in children. Rehabilitation Psychology, 56(4), 351358. https://doi.org/10.1037/a0025445 CrossRefGoogle ScholarPubMed
Raj, S. P., Wade, S. L., Cassedy, A., Taylor, H. G., Stancin, T., Brown, T. M., & Kirkwood, M. W. (2014). Parent psychological functioning and communication predict externalizing behavior problems after pediatric traumatic brain injury. Journal of Pediatric Psychology, 39(1), 8495. https://doi.org/10.1093/jpepsy/jst075 CrossRefGoogle ScholarPubMed
Robinson, C. C., Mandleco, B., Olsen, S. F., & Hart, C. H. (1995). Authoritative, authoritarian, and permissive parenting practices - development of a new measure. Psychological Reports, 77(3), 819830.CrossRefGoogle Scholar
Robinson, C. C., Mandleco, B., Olsen, S. F., & Hart, C. H. (2001). The parenting styles and dimensions questionnaire (PSDQ). In Handbook of family measurement techniques, (pp. 319321). Thousand Oaks, CA: Sage Publicaitons.Google Scholar
Schwartz, L., Taylor, H. G., Drotar, D., Yeates, K. O., Wade, S. L., Stancin, T., (2003). Long-term behavior problems following pediatric traumatic brain injury: prevalence, predictors, and correlates [Research Support, U.S. Gov't, non-P.H.S. research support, U.S. Gov't, P.H.S.]. Journal of Pediatric Psychology, 28(4), 251263.CrossRefGoogle ScholarPubMed
Stancin, T., Drotar, D., Taylor, H. G., Yeates, K. O., Wade, S. L., & Minich, N. M. (2002). Health-related quality of life of children and adolescents after traumatic brain injury [Research support, U.S. Gov't, P.H.S.]. Pediatrics, 109(2), E34.CrossRefGoogle ScholarPubMed
Taylor, C. A., Bell, J. M., Breiding, M. J., & Xu, L. (2017). Traumatic brain injury-related emergency department visits, hospitalizations, and deaths - United States, 2007 and 2013. Mmwr Surveillance Summaries, 66(9), 116. https://doi.org/10.15585/mmwr.ss6609a1 CrossRefGoogle ScholarPubMed
Taylor, H. G., Swartwout, M. D., Yeates, K. O., Walz, N. C., Stancin, T., & Wade, S. L. (2008). Traumatic brain injury in young children: Postacute effects on cognitive and school readiness skills [research support, N.I.H., extramural research support, non-U.S. Gov't]. Journal of the International Neuropsychological Society, 14(5), 734745. https://doi.org/10.1017/S1355617708081150 CrossRefGoogle ScholarPubMed
Taylor, H. G., Yeates, K. O., Wade, S. L., Drotar, D., Klein, S. K., & Stancin, T. (1999). Influences on first-year recovery from traumatic brain injury in children [comparative study research support, U.S. Gov't, P.H.S.]. Neuropsychology, 13(1), 7689.CrossRefGoogle ScholarPubMed
Taylor, H. G., Yeates, K. O., Wade, S. L., Drotar, D., Stancin, T., & Burant, C. (2001). Bidirectional child-family influences on outcomes of traumatic brain injury in children [Comparative study research support, U.S. Gov't, P.H.S.]. Journal of the International Neuropsychological Society, 7(6), 755767.CrossRefGoogle ScholarPubMed
Taylor, H. G., Yeates, K. O., Wade, S. L., Drotar, D., Stancin, T., & Minich, N. (2002). A prospective study of short- and long-term outcomes after traumatic brain injury in children: Behavior and achievement [research support, U.S. Gov't, P.H.S.]. Neuropsychology, 16(1), 1527.CrossRefGoogle Scholar
Wade, S. L., Zhang, N., Yeates, K. O., Stancin, T., & Taylor, H. G. (2016). Social environmental moderators of long-term functional outcomes of early childhood brain injury. JAMA Pediatrics, 170(4), 343349. https://doi.org/10.1001/jamapediatrics.2015.4485 CrossRefGoogle ScholarPubMed
Wechsler, D. (1999). Wechsler abbreviated scale of intelligence. San Antonio: The Psychological Corporation.Google Scholar
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913934.CrossRefGoogle Scholar
Woods, D., Catroppa, C., Barnett, P., & Anderson, V. (2011). Parental disciplinary practices following acquired brain injury in children. Developmental Neurorehabilitiation, 14(5), 274282.CrossRefGoogle ScholarPubMed
Yeates, K. O. (2009). Traumatic brain injury. In Yeates, K. O., Ris, M. D., Taylor, H. G., & Pennington, B. F. (Eds.), The science and practice of neuropsychology: Pediatric neuropsychology; Research, theory, and practice (2 ed.). Guilford Press.Google Scholar
Yeates, K. O., Swift, E., Taylor, H. G., Wade, S. L., Drotar, D., Stancin, T., & Minich, N. (2004). Short- and long-term social outcomes following pediatric traumatic brain injury [Comparative study research support, U.S. Gov't, P.H.S.]. Journal of the International Neuropsychological Society, 10(3), 412426. https://doi.org/10.1017/S1355617704103093 CrossRefGoogle Scholar
Yeates, K. O., Taylor, H. G., Drotar, D., Wade, S. L., Klein, S., Stancin, T., & Schatschneider, C. (1997). Preinjury family environment as a determinant of recovery from traumatic brain injuries in school-age children [Research support, U.S. Gov't, P.H.S.]. Journal of the International Neuropsychological Society, 3(6), 617630. http://www.ncbi.nlm.nih.gov/pubmed/9448375 CrossRefGoogle ScholarPubMed
Yeates, K. O., Taylor, H. G., Walz, N. C., Stancin, T., & Wade, S. L. (2010). The family environment as a moderator of psychosocial outcomes following traumatic brain injury in young children [research support, N.I.H., extramural]. Neuropsychology, 24(3), 345356. https://doi.org/10.1037/a0018387 CrossRefGoogle ScholarPubMed