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Normal Birth Weight Variation and Children’s Neuropsychological Functioning: Links between Language, Executive Functioning, and Theory of Mind

Published online by Cambridge University Press:  29 August 2014

M. Wade ,
D.T. Browne ,
S. Madigan ,
A. Plamondon  and
J.M. Jenkins
M. Wade
Affiliation:
Department of Applied Psychology and Human Development, University of Toronto
D.T. Browne
Affiliation:
Department of Applied Psychology and Human Development, University of Toronto
S. Madigan
Affiliation:
Department of Applied Psychology and Human Development, University of Toronto
A. Plamondon
Affiliation:
Department of Applied Psychology and Human Development, University of Toronto
J.M. Jenkins*
Affiliation:
Department of Applied Psychology and Human Development, University of Toronto
*
Correspondence and reprint requests to: Jennifer M. Jenkins, Department of Applied Psychology and Human Development, University of Toronto, 252 Bloor Street West, Toronto, ON, Canada, M5S 1V6. E-mail: [email protected]
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Abstract

The effect of low birth weight on children’s development has been documented for a range of neurocognitive outcomes. However, few previous studies have examined the effect of birth weight variability within the normal range on children’s neuropsychological development. The current study examined birth weight variation amongst children weighing ≥2500 g in relation to their language, executive functioning (EF), and theory of mind (ToM), and specified a developmental pathway in which birth weight was hypothesized to be associated with children’s EF and ToM through their intermediary language skills. The current study used a prospective community birth cohort of 468 children. Families were recruited when children were newborns and followed up every 18 months until children were age 4.5. Language was assessed at age 3 using a standardized measure of receptive vocabulary (PPVT), and EF and ToM were measured at age 4.5 using previously validated and developmentally appropriate tasks. After controlling for potential confounding variables (family income, parent education, gestational age), birth weight within the normal range was associated with language ability at age 3 (β=.17; p=.012); and the effect of birth weight on both EF (z=2.09; p=.03) and ToM (z=2.07; p=.03) at age 4.5 operated indirectly through their language ability at age 3. Our findings indicate that the effects of birth weight on child neurocognition extend into the normal range of birth weight, and specific developmental mechanisms may link these skills over time. (JINS, 2014, 20, 1–11)

Keywords

Birth weightLanguageExecutive functioningTheory of mindNeuropsychologyNeurocognitionNormal development
Type
Research Articles
Information
Journal of the International Neuropsychological Society , Volume 20 , Issue 9 , October 2014 , pp. 909 - 919
Copyright
Copyright © The International Neuropsychological Society 2014 

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References

Aarnoudse-Moens, C. S. H., Weisglas-Kuperus, N., van Goudoever, J. B., & Oosterlaan, J. (2009). Meta-analysis of neurobehavioral outcomes in very preterm and/or very low birth weight children. Pediatrics, 124(2), 717–728.Google Scholar
Acock, A. C. (2005). Working with missing values. Journal of Marriage and Family, 67(4), 1012–1028.Google Scholar
Anderson, P., & Doyle, L. W. (2003). Neurobehavioral outcomes of school-age children born extremely low birth weight or very preterm in the 1990 s. The Journal of the American Medical Association, 289(24), 3264–3272.Google Scholar
Apperly, I. A., Samson, D., Chiavarino, C., & Humphreys, G. W. (2004). Frontal and temporo-parietal lobe contributions to theory of mind: Neuropsychological evidence from a false-belief task with reduced language and executive demands. Journal of Cognitive Neuroscience, 16(10), 1773–1784.CrossRefGoogle ScholarPubMed
Astington, J. W., & Jenkins, J. M. (1999). A longitudinal study of the relation between language and theory of mind development. Developmental Psychology, 35, 1311–1320.Google Scholar
Bernier, A., Carlson, S. M., Deschênes, M., & Matte-Gagné, C. (2012). Social factors in the development of early executive functioning: A closer look at the caregiving environment. Developmental Science, 15(1), 12–24.Google Scholar
Bickerton, D. (2005). Language first, then shared intentionality, then a beneficent spiral. Behavioral and Brain Sciences, 28(05), 691–692.Google Scholar
Blair, C., & Razza, R. P. (2007). Relating effortful control, executive function, and false belief understanding to emerging math and literacy ability in kindergarten. Child Development, 78(2), 647–663.Google Scholar
Blair, C., Zelazo, P. D., & Greenberg, M. T. (2005). The measurement of executive function in early childhood. Developmental Neuropsychology, 28(2), 561–571.CrossRefGoogle ScholarPubMed
Boulet, S. L., Schieve, L. A., & Boyle, C. A. (2011). Birth weight and health and developmental outcomes in US children, 1997-2005. Maternal and Child Health Journal, 15(7), 836–844.Google Scholar
Breeze, A. C., & Lees, C. C. (2007). Prediction and perinatal outcomes of fetal growth restriction. Seminars in Fetal and Neonatal Medicine, 12(5), 383–397.CrossRefGoogle ScholarPubMed
Breslau, N., Chilcoat, H., DelDotto, J., Andreski, P., & Brown, G. (1996). Low birth weight and neurocognitive status at six years of age. Biological Psychiatry, 40(5), 389–397.CrossRefGoogle ScholarPubMed
Carlson, S. M. (2005). Developmentally sensitive measures of executive function in preschool children. Developmental Neuropsychology, 28(2), 595–616.Google Scholar
Carlson, S. M., Mandell, D. J., & Williams, L. (2004). Executive function and theory of mind: Stability and prediction from ages 2 to 3. Developmental Psychology, 40(6), 1105.Google Scholar
Carlson, S. M., Moses, L. J., & Breton, C. (2002). How specific is the relation between executive function and theory of mind? Contributions of inhibitory control and working memory. Infant and Child Development, 11(2), 73–92.Google Scholar
Carruthers, P. (2002). The cognitive functions of language. Behavioral and Brain Sciences, 25(6), 657–674.Google Scholar
Dahl, L. B., Kaaresen, P. I., Tunby, J., Handegård, B. H., Kvernmo, S., & Rønning, J. A. (2006). Emotional, behavioral, social, and academic outcomes in adolescents born with very low birth weight. Pediatrics, 118(2), e449–e459.Google Scholar
Davis, E. P., Buss, C., Muftuler, L. T., Head, K., Hasso, A., Wing, D. A., & Sandman, C. A. (2011). Children’s brain development benefits from longer gestation. Frontiers in Psychology, 2, 1.Google Scholar
de Graaf, R., Bijl, R. V., Smit, F., Ravelli, A., & Vollebergh, W. A. (2000). Psychiatric and sociodemographic predictors of attrition in a longitudinal study The Netherlands Mental Health Survey and Incidence Study (NEMESIS). American Journal of Epidemiology, 152(11), 1039–1047.Google Scholar
de Kieviet, J. F., Piek, J. P., Aarnoudse-Moens, C. S., & Oosterlaan, J. (2009). Motor development in very preterm and very low-birth-weight children from birth to adolescence. The Journal of the American Medical Association, 302(20), 2235–2242.Google Scholar
Dunn, L. M., & Dunn, L. M. (1997). Peabody Picture Vocabulary Test-Third edition: Manual. Circle Pines, MN: American Guidance Services.Google Scholar
Enders, C. K., & Bandalos, D. L. (2001). The relative performance of full information maximum likelihood estimation for missing data in structural equation models. Structural Equation Modeling, 8(3), 430–457.CrossRefGoogle Scholar
Farrant, B. M., Fletcher, J., & Maybery, M. T. (2006). Specific language impairment, theory of mind, and visual perspective taking: Evidence for simulation theory and the developmental role of language. Child Development, 77(6), 1842–1853.Google Scholar
Fernyhough, C. (2008). Getting Vygotskian about theory of mind: Mediation, dialogue, and the development of social understanding. Developmental Review, 28(2), 225–262.Google Scholar
Fuhs, M. W., & Day, J. D. (2011). Verbal ability and executive functioning development in preschoolers at head start. Developmental Psychology, 47(2), 404.Google Scholar
Gallagher, H. L., & Frith, C. D. (2003). Functional imaging of theory of mind. Trends in Cognitive Sciences, 7(2), 77–83.Google Scholar
Geldof, C., Van Wassenaer, A., de Kieviet, J., Kok, J., & Oosterlaan, J. (2011). Visual perception and visual-motor integration in very preterm and/or very low birth weight children: A meta-analysis. Research in Developmental Disabilities, 33(2), 726–736.Google Scholar
Graham, J. W. (2009). Missing data analysis: Making it work in the real world. Annual Review of Psychology, 60, 549–576.Google Scholar
Graham, J. W., & Schafer, J. L. (1999). On the performance of multiple imputation for multivariate data with small sample size. Statistical Strategies for Small Sample Research, 50, 1–27.Google Scholar
Grunau, R. E., Whitfield, M. F., & Fay, T. B. (2004). Psychosocial and academic characteristics of extremely low birth weight (<800 g) adolescents who are free of major impairment compared with term-born control subjects. Pediatrics, 114(6), e725–e732.Google Scholar
Hack, M., Taylor, H. G., Schluchter, M., Andreias, L., Drotar, D., & Klein, N. (2009). Behavioral outcomes of extremely low birth weight children at age 8 years. Journal of Developmental and Behavioral Pediatrics, 30(2), 122–130.Google Scholar
Hale, C. M., & Tager-Flusberg, H. (2003). The influence of language on theory of mind: A training study. Developmental Science, 6(3), 346–359.Google Scholar
Hatch, B., Healey, D. M., & Halperin, J. M. (2014). Associations between birth weight and attention-deficit/hyperactivity disorder symptom severity: Indirect effects via primary neuropsychological functions. Journal of Child Psychology and Psychiatry, 55, 384–392.Google Scholar
Henry, L. A., Messer, D. J., & Nash, G. (2012). Executive functioning in children with specific language impairment. Journal of Child Psychology and Psychiatry, 53(1), 37–45.Google Scholar
Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55.Google Scholar
Hughes, C. (1998). Executive function in preschoolers: Links with theory of mind and verbal ability. British Journal of Developmental Psychology, 16(2), 233–253.Google Scholar
Hughes, C., & Ensor, R. (2005). Executive function and theory of mind in 2 year olds: A family affair? Developmental Neuropsychology, 28(2), 645–668.Google Scholar
Hughes, C., & Ensor, R. (2007a). Executive function and theory of mind: Predictive relations from ages 2 to 4. Developmental Psychology, 43(6), 1447–1459.Google Scholar
Hughes, C., & Ensor, R. (2007b). Positive and protective: Effects of early theory of mind on problem behaviors in at-risk preschoolers. Journal of Child Psychology and Psychiatry, 48(10), 1025–1032.Google Scholar
Hughes, C., & Ensor, R. (2008). Does executive function matter for preschoolers' problem behaviors? Journal of Abnormal Child Psychology, 36(1), 1–14.Google Scholar
Hughes, C., & Ensor, R. (2011). Individual differences in growth in executive function across the transition to school predict externalizing and internalizing behaviors and self-perceived academic success at 6 years of age. Journal of Experimental Child Psychology, 108(3), 663–676.Google Scholar
Inder, T. E., Huppi, P. S., Warfield, S., Kikinis, R., Zientara, G. P., Barnes, P. D., & Volpe, J. J. (1999). Periventricular white matter injury in the premature infant is followed by reduced cerebral cortical gray matter volume at term. Annals of Neurology, 46(5), 755–760.Google Scholar
Jenkins, J. M., & Astington, J. W. (2000). Theory of mind and social behavior: Causal models tested in a longitudinal study. Merrill-Palmer Quarterly (1982-), 203–220.Google Scholar
Kennison, S. M. (2013). Introduction to language development. New York: SAGE Publications.Google Scholar
Kirkegaard, I., Obel, C., Hedegaard, M., & Henriksen, T. B. (2006). Gestational age and birth weight in relation to school performance of 10-year-old children: A follow-up study of children born after 32 completed weeks. Pediatrics, 118(4), 1600–1606.Google Scholar
Landry, S. H., Miller-Loncar, C. L., Smith, K. E., & Swank, P. R. (2002). The role of early parenting in children's development of executive processes. Developmental Neuropsychology, 21(1), 15–41.Google Scholar
Lie, C.-H., Specht, K., Marshall, J. C., & Fink, G. R. (2006). Using fMRI to decompose the neural processes underlying the Wisconsin Card Sorting Test. Neuroimage, 30(3), 1038–1049.Google Scholar
Marcovitch, S., & Zelazo, P. D. (2009). A hierarchical competing systems model of the emergence and early development of executive function. Developmental Science, 12(1), 1–18.CrossRefGoogle ScholarPubMed
Martin, J. A., Hamilton, B. E., Ventura, S. J., Osterman, M., Kirmeyer, S., & Mathews, T. (2009). Births: Final data for 2009. National Vital Statistics Reports: From the Centers for Disease Control and Prevention, National Center for Health Statistics, National Vital Statistics System, 60(1), 1–70.Google Scholar
Martinussen, M., Flanders, D. W., Fischl, B., Busa, E., Løhaugen, G. C., Skranes, J., & Dale, A. M. (2009). Segmental brain volumes and cognitive and perceptual correlates in 15-year-old adolescents with low birth weight. The Journal of Pediatrics, 155(6), 848–853.Google Scholar
Matte, T. D., Bresnahan, M., Begg, M. D., & Susser, E. (2001). Influence of variation in birth weight within normal range and within sibships on IQ at age 7 years: Cohort study. BMJ, 323(7308), 310–314.Google Scholar
Matte-Gagné, C., & Bernier, A. (2011). Prospective relations between maternal autonomy support and child executive functioning: Investigating the mediating role of child language ability. Journal of Experimental Child Psychology, 110(4), 611–625.CrossRefGoogle ScholarPubMed
Meunier, J. C., Boyle, M., O’Connor, T. G., & Jenkins, J. M. (2013). Multilevel mediation: Cumulative contextual risk, maternal differential treatment, and children's behavior within families. Child Development, 84, 1594–1615.Google Scholar
Müller, U., Liebermann-Finestone, D. P., Carpendale, J. I., Hammond, S. I., & Bibok, M. B. (2012). Knowing minds, controlling actions: The developmental relations between theory of mind and executive function from 2 to 4 years of age. Journal of experimental child psychology, 111(2), 331–348.Google Scholar
Muthén, B., & Muthén, L. (2010). Mplus (Version 6). Los Angeles, CA: Author.Google Scholar
Noble, K. G., Fifer, W. P., Rauh, V. A., Nomura, Y., & Andrews, H. F. (2012). Academic achievement varies with gestational age among children born at term. Pediatrics, 130(2), e257–e264.CrossRefGoogle ScholarPubMed
Olson, S. L., Lopez-Duran, N., Lunkenheimer, E. S., Chang, H., & Sameroff, A. J. (2011). Individual differences in the development of early peer aggression: Integrating contributions of self-regulation, theory of mind, and parenting. Development and Psychopathology, 23(1), 253.Google Scholar
Perner, J., Lang, B., & Kloo, D. (2002). Theory of mind and self‐control: More than a common problem of inhibition. Child Development, 73(3), 752–767.CrossRefGoogle ScholarPubMed
Peterson, C. C., Wellman, H. M., & Slaughter, V. (2012). The mind behind the message: Advancing theory‐of‐mind scales for typically developing children, and those with deafness, autism, or Asperger syndrome. Child Development, 83(2), 469–485.Google Scholar
Phua, D. Y.-L., Rifkin-Graboi, A., Saw, S.-M., Meaney, M. J., & Qiu, A. (2012). Executive functions of six-year-old boys with normal birth weight and gestational age. PloS One, 7(4), e36502.Google Scholar
Raykov, T., & Marcoulides, G. A. (2004). Using the delta method for approximate interval estimation of parameter functions in SEM. Structural Equation Modeling, 11(4), 621–637.Google Scholar
Raznahan, A., Greenstein, D., Lee, N. R., Clasen, L. S., & Giedd, J. N. (2012). Prenatal growth in humans and postnatal brain maturation into late adolescence. Proceedings of the National Academy of Sciences of the United States of America, 109(28), 11366–11371.Google Scholar
Razza, R. A., & Blair, C. (2009). Associations among false-belief understanding, executive function, and social competence: A longitudinal analysis. Journal of Applied Developmental Psychology, 30(3), 332–343.Google Scholar
Reed, M. A., Pien, D. L., & Rothbart, M. K. (1984). Inhibitory self-control in preschool children. Merrill-Palmer Quarterly (1982-), 131–147.Google Scholar
Rezaie, P., & Dean, A. (2002). Periventricular leukomalacia, inflammation and white matter lesions within the developing nervous system. Neuropathology, 22(3), 106–132.Google Scholar
Rothmayr, C., Sodian, B., Hajak, G., Döhnel, K., Meinhardt, J., & Sommer, M. (2011). Common and distinct neural networks for false-belief reasoning and inhibitory control. Neuroimage, 56(3), 1705–1713.Google Scholar
Russell, J., Jarrold, C., & Hood, B. (1999). Two intact executive capacities in children with autism: Implications for the core executive dysfunctions in the disorder. Journal of Autism and Developmental Disorders, 29(2), 103–112.Google Scholar
Sabbagh, M. A., & Seamans, E. L. (2008). Intergenerational transmission of theory‐of‐mind. Developmental Science, 11(3), 354–360.CrossRefGoogle ScholarPubMed
Sabbagh, M. A., Xu, F., Carlson, S. M., Moses, L. J., & Lee, K. (2006). The development of executive functioning and theory of mind a comparison of Chinese and US preschoolers. Psychological Science, 17(1), 74–81.Google Scholar
Skranes, J., Lohaugen, G. C., Martinussen, M., Indredavik, M. S., Dale, A. M., Haraldseth, O., & Brubakk, A. M. (2009). White matter abnormalities and executive function in children with very low birth weight. Neuroreport, 20(3), 263–266.Google Scholar
Sobel, M. E. (1982). Asymptotic confidence intervals for indirect effects in structural equation models. Sociological Methodology, 13(1982), 290–312.Google Scholar
Spreng, R. N., Mar, R. A., & Kim, A. S. (2009). The common neural basis of autobiographical memory, prospection, navigation, theory of mind, and the default mode: A quantitative meta-analysis. Journal of Cognitive Neuroscience, 21(3), 489–510.Google Scholar
Stoll, B. J., Hansen, N. I., Adams-Chapman, I., Fanaroff, A. A., Hintz, S. R., Vohr, B., … National Institute of Child Health and Human Development Neonatal Research Network. (2004). Neurodevelopmental and growth impairment among extremely low-birth-weight infants with neonatal infection. The Journal of the American Medical Association, 292(19), 2357–2365.Google Scholar
Stone, V. E., Baron-Cohen, S., & Knight, R. T. (1998). Frontal lobe contributions to theory of mind. Journal of Cognitive Neuroscience, 10(5), 640–656.CrossRefGoogle ScholarPubMed
Uekermann, J., Kraemer, M., Abdel-Hamid, M., Schimmelmann, B., Hebebrand, J., Daum, I., & Kis, B. (2010). Social cognition in attention-deficit hyperactivity disorder (ADHD). Neuroscience & Biobehavioral Reviews, 34(5), 734–743.Google Scholar
Vohr, B. R., Wright, L. L., Dusick, A. M., Mele, L., Verter, J., Steichen, J. J., & Kaplan, M. D. (2000). Neurodevelopmental and functional outcomes of extremely low birth weight infants in the National Institute of Child Health and Human Development Neonatal Research Network, 1993–1994. Pediatrics, 105(6), 1216–1226.Google Scholar
Vygotskiı˘, L. S. (1997). The collected works of LS Vygotsky, Vol. 3. New York: Springer.Google Scholar
Walhovd, K. B., Fjell, A. M., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., &Dale, A. M. (2013). Long-term influence of normal variation in neonatal characteristics on human brain development. Proceedings of the National Academy of Sciences of the United States of America, 109(49), 20089–20094.Google Scholar
Wellman, H. M., & Liu, D. (2004). Scaling of theory-of-mind tasks. Child Development, 75(2), 523–541.Google Scholar
Zelazo, P. D. (2006). The dimensional change card sort (DCCS): A method of assessing executive function in children. Nature Protocols, 1(1), 297–301.Google Scholar