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Transactional relations between developmental trajectories of executive functioning and internalizing and externalizing symptomatology in adolescence

Published online by Cambridge University Press:  21 September 2020

Alexis Brieant Open the ORCID record for Alexis Brieant [Opens in a new window] ,
Brooks King-Casas  and
Jungmeen Kim-Spoon
Alexis Brieant*
Affiliation:
Department of Psychology, Virginia Tech, Blacksburg, Virginia, USA
Brooks King-Casas
Affiliation:
Fralin Biomedical Research Institute at VTC, Roanoke, Virginia, USA
Jungmeen Kim-Spoon
Affiliation:
Department of Psychology, Virginia Tech, Blacksburg, Virginia, USA
*
Author for Correspondence: Alexis Brieant, affiliation was with Virginia Tech at the time the research was conducted. She is now at the Department of Psychology, Yale University, 2 Hillhouse Ave, New Haven, CT06520, E-mail alexis.brieant@yale.edu.
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Abstract

Adolescence is a period of social, physical, and neurobiological transitions that may leave individuals more vulnerable to the development of internalizing and externalizing symptomatology. Extant research demonstrates that executive functioning (EF) is associated with psychopathology outcomes in adolescence; however, it has yet to be examined how EF and psychopathology develop transactionally over time. Data were collected from 167 adolescents (47% female, 13–14 years old at Time 1) and their primary caregiver over 4 years. At each time point, adolescents completed three behavioral tasks that capture the underlying dimensions of EF, and both adolescents and their primary caregiver completed measures of adolescent psychopathology. Latent growth curve modeling was used to test the associations between initial levels and trajectories of EF and psychopathology. Results indicated that higher initial levels of internalizing and externalizing symptomatology were associated with lower EF at Time 4 (controlling for Time 1 EF). Initial levels of EF did not predict changes in internalizing and externalizing symptomatology. These findings suggest that early psychopathology may be a risk factor for maladaptive EF development in adolescence.

Keywords

adolescenceexecutive functioningexternalizing symptomatologyinternalizing symptomatologygrowth curve modeling
Type
Regular Article
Information
Development and Psychopathology , Volume 34 , Issue 1 , February 2022 , pp. 213 - 224
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Copyright
© The Author(s), 2020. Published by Cambridge University Press

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References

Achenbach, T. M., & Rescorla, L. (2001). Manual for the ASEBA school-age forms and profiles. Burlington, VT: Department of Psychiatry, University of Vermont.Google Scholar
Arbuckle, J. L. (1996). Full information estimation in the presence of incomplete data. In Marcoulides, G. A. & Schumacker, R. E. (Eds.), Advanced structural equation modeling: issues and techniques (pp. 243–277). Mahwah, NJ: Erlbaum.Google Scholar
Barkley, R. A. (2012). Executive functions: what they are, how they work, and why they evolved. New York, NY: Guilford Press.Google Scholar
Baumeister, R. F., Vohs, K. D., & Tice, D. M. (2007). The strength model of self- control. Current Directions in Psychological Science, 16, 351–355. doi: 10.1111/j.1467-8721.2007.00534.xCrossRefGoogle Scholar
Becker, D. R., Miao, A., Duncan, R., & McClelland, M. M. (2014). Behavioral self-regulation and executive function both predict visuomotor skills and early academic achievement. Early Childhood Research Quarterly, 29, 411–424. doi:10.1016/j.ecresq.2014.04.014CrossRefGoogle Scholar
Beevers, C. (2005). Cognitive vulnerability to depression: A dual process model. Clinical Psychology Review, 25, 975–1002. doi:10.1016/j.cpr.2005.03.003CrossRefGoogle ScholarPubMed
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107, 238–246. doi:10.1037/0033-2909. 107.2.238.CrossRefGoogle ScholarPubMed
Berry, D., & Willoughby, M. T. (2017). On the practical interpretability of cross-lagged panel models: Rethinking a developmental workhorse. Child Development, 88, 1186–1206. doi:10.1111/cdev.12660.CrossRefGoogle ScholarPubMed
Biringer, E., Lundervold, A., Stordal, K., Mykletun, A., Egeland, J., Bottlender, R., & Lund, A. (2005). Executive function improvement upon remission of recurrent unipolar depression. European Archives of Psychiatry and Clinical Neuroscience, 255, 373–380. doi:10.1007/s00406-005-0577-7CrossRefGoogle ScholarPubMed
Bongers, I., Koot, H. M., van der Ende, J., & Verhulst, F. C. (2004). Developmental trajectories of externalizing behaviors in childhood and adolescence. Child Development, 75, 1523–1537.10.1111/j.1467-8624.2004.00755.xCrossRefGoogle ScholarPubMed
Bos, M. G. N., Wierenga, L. M., Blankenstein, N. E., Schreuders, E., Tamnes, C. K., & Crone, E. A. (2018). Longitudinal structural brain development and externalizing behavior in adolescence. Journal of Child Psychology and Psychiatry, 59, 1061–1072. doi:10.1111/jcpp.12972CrossRefGoogle ScholarPubMed
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen, J. S. Long, (Eds.), Testing structural equation models (pp. 136–162). Beverly Hills: Sage.Google Scholar
Bush, G., Shin, L. M., Holmes, J., Rosen, B. R., & Vogt, B. A. (2003). The multi-source interference task: Validation study with fMRI in individual subjects. Molecular Psychiatry, 8, 60–70. doi:10.1038/sj.mp.4001217CrossRefGoogle ScholarPubMed
Casey, B., Jones, R. M., & Hare, T. A. (2008). The adolescent brain. Annals of the New York Academy of Sciences, 1124, 111–126. doi:10.1196/annals.1440.010CrossRefGoogle ScholarPubMed
Connolly, S. L., Wagner, C. A., Shapero, B. G., Pendergast, L. L., Abramson, L. Y., & Alloy, L. B. (2014). Rumination prospectively predicts executive functioning impairments in adolescents. Journal of Behavior Therapy and Experimental Psychiatry, 45, 46–56. doi:10.1016/j.jbtep.2013.07.009CrossRefGoogle ScholarPubMed
Costello, E., Mustillo, S., Erkanli, A., Keeler, G., & Angold, A. (2003). Prevalence and development of psychiatric disorders in childhood and adolescence. Archives of General Psychiatry, 60, 837–844. doi: 10.1001/archpsyc.60.8.837CrossRefGoogle ScholarPubMed
Eisenberg, N., Spinrad, T. L., Eggum, N. D., Silva, K. M., Reiser, M., Hofer, C., … Michalik, N. (2010). Relations among maternal socialization, effortful control, and maladjustment in early childhood. Development and Psychopathology, 22, 507–525. doi:10.1017/S0954579410000246CrossRefGoogle ScholarPubMed
Farley, J. P., & Kim-Spoon, J. (2014). The development of adolescent self-regulation: The role of parent, peer, friend, and romantic relationships. Journal of Adolescence, 37, 433–440. doi:10.1016/j.adolescence.2014.03.009CrossRefGoogle ScholarPubMed
Friedman, N. P., du Pont, A., Corley, R. P., & Hewitt, J. K. (2018). Longitudinal relations between depressive symptoms and executive functions from adolescence to early adulthood. Clinical Psychological Science, 6, 543–560.10.1177/2167702618766360CrossRefGoogle ScholarPubMed
Friedman, N. P., & Miyake, A. (2017). Unity and diversity of executive functions: Individual differences as a window on cognitive structure. Cortex, 86, 186–204. doi:10.1016/j.cortex.2016.04.023.CrossRefGoogle ScholarPubMed
Friedman, N. P., Miyake, A., Altamirano, L. J., Corley, R. P., Young, S. E., Rhea, S. A., & Hewitt, J. K. (2016). Stability and change in executive function abilities from late adolescence to early adulthood: A longitudinal twin study. Developmental Psychology, 52, 326–340. doi:10.1037/dev0000075CrossRefGoogle ScholarPubMed
Galambos, N. L., Barker, E. T., & Almeida, D. M. (2003). Parents do matter: Trajectories of change in externalizing and internalizing problems in early adolescence. Child Development, 74, 578–594. doi:10.1111/1467-8624.7402017CrossRefGoogle ScholarPubMed
Geiser, C., Keller, B., & Lockhart, G. (2013). First versus second order latent growth curve models: Some insights from latent state-trait theory. Structural Equation Modeling, 20, 479–503. doi:10.1080/10705511.2013.797832CrossRefGoogle ScholarPubMed
Giancola, P. R., & Mezzich, A. C. (2003). Executive functioning, temperament, and drug use involvement in adolescent females with a substance use disorder. Journal of Child Psychology and Psychiatry, 44, 857–866. doi:10.1111/1469-7610.00170CrossRefGoogle ScholarPubMed
Gotlib, I. H., & Joormann, J. (2010). Cognition and depression: Current status and future directions. Annual Review of Clinical Psychology, 6, 285–312.10.1146/annurev.clinpsy.121208.131305CrossRefGoogle ScholarPubMed
Harden, K. P., Engelhardt, L. E., Mann, F. D., Patterson, M. W., Grotzinger, A. D., Savicki, S. L., … Tucker-Drob, E. M. (2020). Genetic associations between executive functions and a general factor of psychopathology. Journal of the American Academy of Child & Adolescent Psychiatry, 59, 749–758. doi:10.1016/j.jaac.2019.05.006.CrossRefGoogle Scholar
Hatoum, A. S., Rhee, S. H., Corley, R. P., Hewitt, J. K., & Friedman, N. P. (2018a). Do executive functions explain covariance between internalizing and externalizing behaviors? Development and Psychopathology, 30, 1371–1387. doi:10.1017/S0954579417001602CrossRefGoogle Scholar
Hatoum, A. S., Rhee, S. H., Corley, R. P., Hewitt, J. K., & Friedman, N. P. (2018b). Etiology of stability and growth of internalizing and externalizing behavior problems across childhood and adolescence. Behavior Genetics, 48, 298–314. doi:10.1007/s10519-018-9900-8CrossRefGoogle Scholar
Heaton, R. K., & Staff, P. A. R. (2003). Wisconsin card sorting test: computer version 4-research edition (WCST: CV4). Lutz, FL: Psychological Assessment Resources.Google Scholar
Holmes, C. J., Kim-Spoon, J., & Deater-Deckard, K. (2016). Linking executive function and peer problems from early childhood through middle adolescence. Journal of Abnormal Child Psychology, 44, 31–42. doi:10.1007/s10802-015-0044-5CrossRefGoogle ScholarPubMed
Huang-Pollock, C., Shapiro, Z., Galloway-Long, H., & Weigard, A. (2017). Is poor working memory a transdiagnostic risk factor for psychopathology? Journal of Abnormal Child Psychology, 45, 1477–1490. doi:10.1007/s10802-016-0219-8CrossRefGoogle ScholarPubMed
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, 663–676. doi:10.1016/j.jecp.2010.06.005CrossRefGoogle ScholarPubMed
Hultsch, D. F., MacDonald, S. W. S., & Dixon, R. A. (2002). Variability in reaction time performance of younger and older adults. The Journals of Gerontology: Series B, 57, 101–P115. doi:10.1093/geronb/57.2.P101CrossRefGoogle ScholarPubMed
Kim-Spoon, J., Deater-Deckard, K., Calkins, S., King-Casas, B., & Bell, M. A. (2019). Commonality between executive functioning and effortful control related to adjustment. Journal of Applied Developmental Psychology, 60, 47–55. doi:10.1016/j.appdev.2018.10.004CrossRefGoogle ScholarPubMed
Kim-Spoon, J., Ollendick, T. H., & Seligman, L. D. (2012). Perceived competence and depressive symptoms among adolescents: The moderating role of attributional style. Child Psychiatry & Human Development, 43, 612–630. doi:10.1007/s10578-012-0287-0CrossRefGoogle ScholarPubMed
King, K. M., Lengua, L. J., & Monahan, K. C. (2013). Individual differences in the development of self-regulation during pre-adolescence: Connections to context and adjustment. Journal of Abnormal Child Psychology, 41, 57–69. doi:10.1007/s10802-012-9665-0CrossRefGoogle Scholar
Kline, R. B. (2011). Principles and practice of structural equation modeling (3rd ed.). New York: Guildford Press.Google Scholar
Klingberg, T., Forssberg, H., & Westerberg, H. (2002). Increased brain activity in frontal and parietal cortex underlies the development of visuospatial working memory capacity during childhood. Journal of Cognitive Neuroscience, 14, 1–10.CrossRefGoogle ScholarPubMed
Kwon, H., Reiss, A. L., & Menon, V. (2002). Neural basis of protracted developmental changes in visuo-spatial working memory. Proceedings of the National Academy of Sciences, 99, 13336–13341.10.1073/pnas.162486399CrossRefGoogle ScholarPubMed
LaGasse, L. L., Conradt, E., Karalunas, S. L., Dansereau, L. M., Butner, J. E., Shankaran, S., … Lester, B. M. (2016). Transactional relations between caregiving stress, executive functioning, and problem behavior from early childhood to early adolescence. Development and Psychopathology, 28, 743–756. doi:10.1017/S0954579416000286CrossRefGoogle ScholarPubMed
Lee, K., Bull, R., & Ho, R. M. H. (2013). Developmental changes in executive functioning. Child Development, 84, 1933–1953. doi:10.1111/cdev.12096CrossRefGoogle ScholarPubMed
Lee, F. S., Heimer, H., Giedd, J. N., Lein, E. S., Šestan, N., Weinberger, D. R., & Casey, B. J. (2014). Adolescent mental health – opportunity and obligation. Science, 346, 547–549. doi:10.1126/science.1260497CrossRefGoogle ScholarPubMed
Leve, L. D., Kim, H. K., & Pears, K. C. (2005). Childhood temperament and family environment as predictors of internalizing and externalizing trajectories from ages 5 to 17. Journal of Abnormal Child Psychology, 33, 505–520. doi:10.1007/s10802-005-6734-7CrossRefGoogle ScholarPubMed
Levens, S. M., Muhtadie, L., & Gotlib, I. H. (2009). Rumination and impaired resource allocation in depression. Journal of Abnormal Psychology, 118, 757–766. doi:10.1037/a0017206CrossRefGoogle ScholarPubMed
Little, T. D. (2013). Longitudinal structural equation modeling (pp. 141–142). New York, NY: Guilford press.Google Scholar
Luna, B., Padmanabhan, A., & O'Hearn, K. (2010). What has fMRI told us about the development of cognitive control through adolescence? Brain and Cognition, 72, 101–113. doi:10.1016/j.bandc.2009.08.005CrossRefGoogle ScholarPubMed
MacDonald, S. W. S., Karlsson, S., Rieckmann, A., Nyberg, L., & Bäckman, L. (2012). Aging-related increases in behavioral variability: Relations to losses in dopamine D1 receptors. Journal of Neuroscience, 32, 8186–8191. doi: 10.1523/JNEUROSCI.5474-11.2012CrossRefGoogle ScholarPubMed
Martel, M. M., Pan, P. M., Hoffmann, M. S., Gadelha, A., do Rosário, M. C., Mari, J. J., et al. (2017). A general psychopathology factor (P factor) in children: Structural model analysis and external validation through familial risk and child global executive function. Journal of Abnormal Psychology, 126, 137–148. doi:10.1037/abn0000205CrossRefGoogle ScholarPubMed
Martel, M. M., Pierce, L., Nigg, J. T., Jester, J. M., Adams, K., Puttler, L. I., … Zucker, R. A. (2009). Temperament pathways to childhood disruptive behavior and adolescent substance abuse: testing a cascade model. Journal of Abnormal Child Psychology, 37, 363. doi:10.1007/s10802-008-9269-xCrossRefGoogle ScholarPubMed
Masten, A. S., & Cicchetti, D. (2010). Developmental cascades. Development and Psychopathology, 22, 491–495. doi:10.1017/ S0954579410000222CrossRefGoogle ScholarPubMed
McArdle, J. J. (1988). Dynamic but structural modeling of repeated measures data. In Nesselroade, J. R. & Cattell, R. B. (Eds.), The handbook of multivariate psychology (2nd ed., pp. 561–614). New York, NY: Springer.10.1007/978-1-4613-0893-5_17CrossRefGoogle Scholar
Miyake, A., & Friedman, N. P. (2012). The nature and organization of individual differences in executive functions: Four general conclusions. Current Directions in Psychological Science, 21, 8–14. doi:10.1177/0963721411429458CrossRefGoogle ScholarPubMed
Miyake, A., Friedman, N. P., Emerson, M. J., Witzki, A. H., Howerter, A., & Wager, T. D. (2000). The unity and diversity of executive functions and their contributions to complex “frontal lobe” tasks: A latent variable analysis. Cognitive Psychology, 41, 49–100. doi:10.1006/cogp.1999.0734CrossRefGoogle ScholarPubMed
Muthén, B. (2004). Latent variable analysis: Growth mixture modeling and related techniques for longitudinal data. In Kaplan, D. (Ed.), The SAGE handbook of quantitative methodology for the social sciences (pp. 346–369). Thousand Oaks California, USA: SAGE Publications, Inc. doi:10.4135/9781412986311.n19CrossRefGoogle Scholar
Muthén, L. K., & Muthén, B. O. (1998-2017). Mplus user's guide. (7th ed.). Los Angeles, CA: Muthén & Muthén.Google Scholar
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: A Multidisciplinary Journal, 9, 599–620. doi:10.1207/S15328007SEM0904_8CrossRefGoogle Scholar
Nigg, J. T. (2017). Annual research review: On the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology. Journal of Child Psychology and Psychiatry, 58, 361–383. doi: 10.1111/jcpp.12675CrossRefGoogle ScholarPubMed
Ordaz, S. J., Foran, W., Velanova, K., & Luna, B. (2013). Longitudinal growth curves of brain function underlying inhibitory control through adolescence. Journal of Neuroscience, 33, 18109–18124. doi: 10.1523/jneurosci.1741-13.2013CrossRefGoogle ScholarPubMed
Papachristou, E., & Flouri, E. (2019). The codevelopment of internalizing symptoms, externalizing symptoms, and cognitive ability across childhood and adolescence. Development and Psychopathology, 1–15. doi:10.1017/S0954579419001330Google Scholar
Piehler, T. F., Bloomquist, M. L., August, G. J., Gewirtz, A. H., Lee, S. S., & Lee, W. S. C. (2014). Executive functioning as a mediator of conduct problems prevention in children of homeless families residing in temporary supportive housing: A parallel process latent growth modeling approach. Journal of Abnormal Child Psychology, 42, 681–692. doi:10.1007/s10802-013-9816-yCrossRefGoogle ScholarPubMed
Roid, G. H. (2003). Stanford–Binet intelligence scales (5th ed.). Itasca, IL: Riverside Publishing.Google Scholar
Schafer, J. L., & Graham, J. W. (2002). Missing data: Our view of the state of the art. Psychological Methods, 7, 147–177. doi: 10.1037/1082-989X.7.2.147CrossRefGoogle ScholarPubMed
Sirin, S. R., Rogers-Sirin, L., Cressen, J., Gupta, T., Ahmed, S. F., & Novoa, A. D. (2015). Discrimination-related stress effects on the development of internalizing symptoms among Latino adolescents. Child Development, 86, 709–725. doi:10.1111/cdev.12343CrossRefGoogle ScholarPubMed
Snyder, H. R., Friedman, N. P., & Hankin, B. L. (2019). Transdiagnostic mechanisms of psychopathology in youth: Executive functions, dependent stress, and rumination. Cognitive Therapy and Research, 43, 834–851. doi:10.1007/s10608-019-10016-zCrossRefGoogle ScholarPubMed
Snyder, H. R., Miyake, A., & Hankin, B. L. (2015). Advancing understanding of executive function impairments and psychopathology: Bridging the gap between clinical and cognitive approaches. Frontiers in Psychology, 6, 1–24. doi:10.3389/fpsyg.2015.00328CrossRefGoogle ScholarPubMed
Snyder, H. R., Young, J. F., & Hankin, B. L. (2017). Strong homotypic continuity in common psychopathology-, internalizing-, and externalizing-specific factors over time in adolescents. Clinical Psychological Science, 5, 98–110. doi:10.1177/2167702616651076CrossRefGoogle ScholarPubMed
Steinberg, L. (2005). Cognitive and affective development in adolescence. Trends in Cognitive Science, 9, 69–74.10.1016/j.tics.2004.12.005CrossRefGoogle ScholarPubMed
Steinberg, L. (2008). A social neuroscience perspective on adolescent risk-taking. Developmental Review, 28, 78–106. doi:10.1016/j.dr.2007.08.002CrossRefGoogle ScholarPubMed
United States Census Bureau. (2010). American community survey. Retrieved from: https://factfinder.census.gov/faces/nav/jsf/pages/searchresults.xhtml?Google Scholar
White, L. K., Moore, T. M., Calkins, M. E., Wolf, D. H., Satterthwaite, T. D., Leibenluft, E., … Gur, R. E. (2017). An evaluation of the specificity of executive function impairment in developmental psychopathology. Journal of the American Academy of Child & Adolescent Psychiatry, 56, 975–982.e3. doi:10.1016/j.jaac.2017.08.016CrossRefGoogle ScholarPubMed
Williams, B. R., Hultsch, D. F., Strauss, E. H., Hunter, M. A., & Tannock, R. (2005). Inconsistency in reaction time across the life span. Neuropsychology, 19, 88. doi:10.1037/0894-4105.19.1.88CrossRefGoogle ScholarPubMed
Woltering, S., Lishak, V., Hodgson, N., Granic, I., & Zelazo, P. D. (2016). Executive function in children with externalizing and comorbid internalizing behavior problems. Journal of Child Psychology and Psychiatry and Allied Disciplines, 1, 30–38. doi:10.1111/jcpp.12428CrossRefGoogle Scholar
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