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Research on Child and Adolescent Psychopathology

Gepubliceerd in:

02-06-2023

Physiological Dysregulation in Children With and Without Externalizing Difficulties: Novel Insights From Intensive Longitudinal Data

Auteurs: Hali Kil, Annabel Sibalis, Tyler Colasante, Marc Jambon, Erinn Acland, Anjali Suri, Tina Malti, Brendan F. Andrade

Gepubliceerd in: Research on Child and Adolescent Psychopathology | Uitgave 1/2024

Abstract

Extant research on physiological dysregulation in children has focused on point-in-time measures and absolute mean levels of physiology. However, these methods do not capture dynamic fluctuations in physiology that characterize dysregulation. In the present work, we aimed to assess whether physiological dysregulation as captured by fluctuations rather than mean levels would differentiate between children with and without clinically elevated levels of externalizing behavior. As an exploratory approach, we examined fluctuations in children’s physiological responses (i.e., root mean square of successive differences [RMSSD] in beat-to-beat heart rate intervals) to social transgression scenarios across 15 short-term measurement occasions (5-second bins). Controlling for mean RMSSD, as well as emotional and cognitive correlates of externalizing behavior (i.e., sympathy and inhibitory control), children with externalizing difficulties exhibited greater within-person fluctuations in RMSSD (i.e., physiological dysregulation) compared to children without externalizing difficulties. The present findings provide preliminary support for using intensive longitudinal data comprised of short-term physiological measurements and point to the centrality of within-child physiological variability as a marker of dysregulation, particularly amongst children with externalizing disorders for whom self-regulation is a core challenge.

vorige artikel Antecedents and Consequences of Child Externalizing Problems: Differences in Dynamic Parent–Child Processes

volgende artikel Daily Associations Between Sleep and Affect in Youth at Risk for Psychopathology: The Moderating Role of Externalizing Symptoms

Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4-18 and 1991 Profile. University of Vermont.

Achenbach, T. M., Dumenci, L., & Rescorla, L. A. (2001). Ratings of relations between DSM-IV diagnostic categories and items of the CBCL/6-18, TRF, and YSR. University of Vermont.

American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders (5th ed.). https://doi.org/10.1176/appi.books.9780890425596

Althoff, R. R., Verhulst, F. C., Rettew, D. C., Hudziak, J. J., & van der Ende, J. (2010). Adult outcomes of childhood dysregulation: A 14-year follow-up study. Journal of the American Academy of Child & Adolescent Psychiatry, 49(11), 1105–1116. https://doi.org/10.1016/j.jaac.2010.08.006CrossRef

Barkley, R. A. (1997). Behavioral inhibition, sustained attention, and executive functions: Constructing a unifying theory of ADHD. Psychological Bulletin, 121(1), 65–94. https://doi.org/10.1037/0033-2909.121.1.65CrossRefPubMed

Beauchaine, T. P. (2012). Physiological markers of emotional and behavioral dysregulation in externalizing psychopathology. Monographs of the Society for Research in Child Development, 77(2), 79–86. https://doi.org/10.1111/j.1540-5834.2011.00665.xCrossRefPubMedPubMedCentral

Beauchaine, & Bell, Z. E. (2020). Respiratory sinus arrhythmia as a transdiagnostic biomarker of emotion dysregulation. In T. P. Beauchaine & S. E. Crowell (Eds.), The Oxford handbook of emotion dysregulation. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190689285.001.0001CrossRef

Beauchaine, T. P., Gatzke-Kopp, L., & Mead, H. K. (2007). Polyvagal theory and developmental psychopathology: Emotion dysregulation and conduct problems from preschool to adolescence. Biological Psychology, 74(2), 174–184. https://doi.org/10.1016/j.biopsycho.2005.08.008CrossRefPubMed

Beauchaine, T. P., Shader, T. M., & Hinshaw, S. P. (2016). An ontogenic processes model of externalizing psychopathology. In T. P. Beauchaine & S. P. Hinshaw (Eds.), The Oxford handbook of externalizing spectrum disorders (pp. 485–501). Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199324675.013.15CrossRef

Bentley, K. H., Maimone, J. S., Kilbury, E. N., Tate, M. S., Wisniewski, H., Levine, M. T., ... & Kleiman, E. M. (2021). Practices for monitoring and responding to incoming data on self-injurious thoughts and behaviors in intensive longitudinal studies: A systematic review. Clinical Psychology Review, 90, 102098. https://doi.org/10.1016/j.cpr.2021.102098

Bolger, N., & Laurenceau, J. P. (2013). Intensive longitudinal methods: an introduction to diary and experience sampling research. Guilford press.

Bongers, I. L., Koot, H. M., Van Der Ende, J., & Verhulst, F. C. (2004). Developmental trajectories of externalizing behaviors in childhood and adolescence. Child Development, 75(5), 1523–1537. https://doi.org/10.1111/j.1467-8624.2004.00755.xCrossRefPubMed

Bonham, M. D., Shanley, D. C., Waters, A. M., & Elvin, O. M. (2021). Inhibitory control deficits in children with oppositional defiant disorder and conduct disorder compared to attention deficit/hyperactivity disorder: A systematic review and meta-analysis. Research on Child and Adolescent Psychopathology, 49(1), 39–62. https://doi.org/10.1007/s10802-020-00713-9CrossRefPubMed

Bunford, N., Evans, S. W., Zoccola, P. M., Owens, J. S., Flory, K., & Spiel, C. F. (2017). Correspondence between heart rate variability and emotion dysregulation in children, including children with ADHD. Journal of Abnormal Child Psychology, 45(7), 1325–1337. https://doi.org/10.1007/s10802-016-0257-2CrossRefPubMed

Card, N. A., & Little, T. D. (2006). Proactive and reactive aggression in childhood and adolescence: A meta-analysis of differential relations with psychosocial adjustment. International Journal of Behavioral Development, 30(5), 466–480. https://doi.org/10.1177/0165025406071904CrossRef

Colasante, T., Jambon, M., Gao, X., & Malti, T. (2021). A process model linking physiological arousal and fear recognition to aggression via guilt in middle childhood. Development & Psychopathology, 33(1), 109–121. https://doi.org/10.1017/S0954579419001627CrossRef

de Wied, M., Gispen-de Wied, C., & van Boxtel, A. (2010). Empathy dysfunction in children and adolescents with disruptive behavior disorders. European Journal of Pharmacology, 626(1), 97–103. https://doi.org/10.1016/j.ejphar.2009.10.016CrossRefPubMed

de Wied, M., Goudena, P. P., & Matthys, W. (2005). Empathy in boys with disruptive behavior disorders. Journal of Child Psychology and Psychiatry, 46(8), 867–880. https://doi.org/10.1111/j.1469-7610.2004.00389.xCrossRefPubMed

Dunton, G. F., Rothman, A. J., Leventhal, A. M., & Intille, S. S. (2021). How intensive longitudinal data can stimulate advances in health behavior maintenance theories and interventions. Translational Behavioral Medicine, 11(1), 281–286. https://doi.org/10.1093/tbm/ibz165CrossRefPubMed

Deuter, C. E., Nowacki, J., Wingenfeld, K., Kuehl, L. K., Finke, J. B., Dziobek, I., & Otte, C. (2018). The role of physiological arousal for self-reported emotional empathy. Autonomic Neuroscience, 214, 9–14. https://doi.org/10.1016/j.autneu.2018.07.002CrossRefPubMed

Deutz, M. H., Woltering, S., Vossen, H. G., Deković, M., van Baar, A. L., & Prinzie, P. (2019). Underlying psychophysiology of dysregulation: Resting heart rate and heart rate reactivity in relation to childhood dysregulation. Journal of the American Academy of Child & Adolescent Psychiatry, 58(6), 589–599. https://doi.org/10.1016/j.jaac.2018.09.434

Dodge, K. A., & Pettit, G. S. (2003). A biopsychosocial model of the development of chronic conduct problems in adolescence. Developmental Psychology, 39(2), 349–371. https://doi.org/10.1037/0012-1649.39.2.349CrossRefPubMedPubMedCentral

Eisenberg, N., Fabes, R. A., Murphy, B., Karbon, M., Smith, M., & Maszk, P. (1996). The relations of children’s dispositional empathy-related responding to their emotionality, regulation, and social functioning. Developmental Psychology, 32(2), 195–209. https://doi.org/10.1037/0012-1649.32.2.195CrossRef

Erath, S., Tu, K., & El-Sheikh, M. (2012). Socially anxious and peer-victimized preadolescents: “Doubly primed” for distress? Journal of Abnormal Child Psychology, 40, 837–848. https://doi.org/10.1007/s10802-011-9600-9CrossRefPubMed

Evans, G. W., & Kim, P. (2007). Childhood poverty and health: Cumulative risk exposure and stress dysregulation. Psychological Science, 18(11), 953–957. https://doi.org/10.1111/j.1467-9280.2007.02008.xCrossRefPubMed

Fabiano, G. A., Pelham, W. E., Jr., Waschbusch, D. A., Gnagy, E. M., Lahey, B. B., Chronis, A. M., ... & Burrows-MacLean, L. (2006). A practical measure of impairment: Psychometric properties of the impairment rating scale in samples of children with attention deficit hyperactivity disorder and two school-based samples. Journal of Clinical Child and Adolescent Psychology, 35(3), 369–385. https://doi.org/10.1207/s15374424jccp3503_3CrossRefPubMed

Fanti, K. A., Eisenbarth, H., Goble, P., Demetriou, C., Kyranides, M. N., Goodwin, D., ... & Cortese, S. (2019). Psychophysiological activity and reactivity in children and adolescents with conduct problems: a systematic review and meta-analysis. Neuroscience & Biobehavioral Reviews, 100, 98–107. https://doi.org/10.1016/j.neubiorev.2019.02.016CrossRef

Fenning, R. M., Erath, S. A., Baker, J. K., Messinger, D. S., Moffitt, J., Baucom, B. R., & Kaeppler, A. K. (2019). Sympathetic-parasympathetic interaction and externalizing problems in children with Autism Spectrum Disorder. Autism Research, 12(12), 1805–1816. https://doi.org/10.1002/aur.2187CrossRefPubMedPubMedCentral

Frick, P. J., Cornell, A. H., Bodin, S. D., Dane, H. E., Barry, C. T., & Loney, B. R. (2003). Callous-unemotional traits and developmental pathways to severe conduct problems. Developmental Psychology, 39(2), 246–260. https://doi.org/10.1037/0012-1649.39.2.246CrossRefPubMed

Goldberger, A. L., Goldberger, Z. D., & Shvilkin, A. (2017). Clinical electrocardiography: a simplified approach e-book. Elsevier Health Sciences.

Hamaker, E. L., Asparouhov, T., Brose, A., Schmiedek, F., & Muthén, B. (2018). At the frontiers of modeling intensive longitudinal data: Dynamic structural equation models for the affective measurements from the COGITO study. Multivariate Behavioral Research, 53(6), 820–841. https://doi.org/10.1080/00273171.2018.1446819CrossRefPubMed

Hamaker, E. L., Ceulemans, E., Grasman, R. P. P. P., & Tuerlinckx, F. (2015). Modeling affect dynamics: State of the art and future challenges. Emotion Review, 7(4), 316–322. https://doi.org/10.1177/1754073915590619CrossRef

Hamaker, E. L., & Wichers, M. (2017). No time like the present: Discovering the hidden dynamics in intensive longitudinal data. Current Directions in Psychological Science, 26(1), 10–15. https://doi.org/10.1177/0963721416666518CrossRef

Hankin, B. L., Badanes, L. S., Abela, J. R., & Watamura, S. E. (2010). Hypothalamic–pituitary–adrenal axis dysregulation in dysphoric children and adolescents: Cortisol reactivity to psychosocial stress from preschool through middle adolescence. Biological Psychiatry, 68(5), 484–490. https://doi.org/10.1016/j.biopsych.2010.04.004CrossRefPubMedPubMedCentral

Hoeppner, B. B., Goodwin, M. S., Velicer, W. F., & Heltshe, J. (2007). An applied example of pooled time series analysis: Cardiovascular reactivity to stressors in children with autism. Multivariate Behavioral Research, 42(4), 707–727. https://doi.org/10.1080/00273170701755291CrossRef

Houben, M., Van Den Noortgate, W., & Kuppens, P. (2015). The relation between short-term emotion dynamics and psychological well-being: A meta-analysis. Psychological Bulletin, 141(4), 901–930. https://doi.org/10.1037/a0038822CrossRefPubMed

Kahle, S., Utendale, W. T., Widaman, K. F., & Hastings, P. D. (2018). Parasympathetic regulation and inhibitory control predict the development of externalizing problems in early childhood. Journal of Abnormal Child Psychology, 46(2), 237–249. https://doi.org/10.1007/s10802-017-0305-6CrossRefPubMed

Kaufman, A. S. (2004). Kaufman Brief Intelligence Test, (KBIT-2). Bloomington, MN.

Kuppens, P., & Verduyn, P. (2017). Emotion Dynamics. Current Opinion in Psychology, 17, 22–26. https://doi.org/10.1016/j.copsyc.2017.06.004CrossRefPubMed

Lockwood, P. L., Bird, G., Bridge, M., & Viding, E. (2013). Dissecting empathy: High levels of psychopathic and autistic traits are characterized by difficulties in different social information processing domains. Frontiers in Human Neuroscience, 7, 760. https://doi.org/10.3389/fnhum.2013.00760CrossRefPubMedPubMedCentral

Lovett, B. J., & Sheffield, R. A. (2007). Affective empathy deficits in aggressive children and adolescents: A critical review. Clinical Psychology Review, 27(1), 1–13. https://doi.org/10.1016/j.cpr.2006.03.003CrossRefPubMed

Malti, T. (2017). The Social-Emotional Responding Task. Unpublished tool by Tina Malti. Copyright by T. Malti, 2017.

Malti, T., & Krettenauer, T. (2013). The relation of moral emotion attributions to prosocial and antisocial behavior: A meta-analysis. Child Development, 84(2), 397–412. https://doi.org/10.1111/j.1467-8624.2012.01851.xCrossRefPubMed

Malti, T., Zhang, L., & Yavuz, H. M. (2021). Assessing social–emotional development: Reliability and validity of the social–emotional responding task. Psychological Assessment, 33(6), 471–479. https://doi.org/10.1037/pas0000918CrossRefPubMed

Marsh, P., Beauchaine, T. P., & Williams, B. (2008). Dissociation of sad facial expressions and autonomic nervous system responding in boys with disruptive behavior disorders. Psychophysiology, 45(1), 100–110. https://doi.org/10.1111/j.1469-8986.2007.00603.xCrossRefPubMed

McNeish, D., & Hamaker, E. L. (2020). A primer on two-level dynamic structural equation models for intensive longitudinal data in Mplus. Psychological Methods, 25(5), 610. https://doi.org/10.1037/met0000250CrossRefPubMed

Miller, P. A., & Eisenberg, N. (1988). The relation of empathy to aggressive and externalizing/antisocial behavior. Psychological Bulletin, 103(3), 324–344. https://doi.org/10.1037/0033-2909.103.3.324CrossRefPubMed

Nakamura, T., Kiyono, K., Wendt, H., Abry, P., & Yamamoto, Y. (2016). Multiscale analysis of intensive longitudinal biomedical signals and its clinical applications. Proceedings of the IEEE, 104(2), 242–261. https://doi.org/10.1109/JPROC.2015.2491979CrossRef

Obradović, J., Bush, N. R., Stamperdahl, J., Adler, N. E., & Boyce, W. T. (2010). Biological sensitivity to context: the interactive effects of stress reactivity and family adversity on socioemotional behavior and school readiness. Child Development, 81(1), 270–289. https://doi.org/10.1111/j.1467-8624.2009.01394.xCrossRefPubMedPubMedCentral

Ortiz, J., & Raine, A. (2004). Heart rate level and antisocial behavior in children and adolescents: a meta-analysis. Journal of the American Academy of Child & Adolescent Psychiatry, 43(2), 154–162. https://doi.org/10.1097/00004583-200402000-00010CrossRef

Piferi, R. L., Kline, K. A., Younger, J., & Lawler, K. A. (2000). An alternative approach for achieving cardiovascular baseline: viewing an aquatic video. International Journal of Psychophysiology, 37(2), 207–217. https://doi.org/10.1016/S0167-8760(00)00102-1CrossRefPubMed

Porges, S. W. (2011). The polyvagal theory: neurophysiological foundations of emotions, attachment, communication, and self-regulation. WW Norton & Co.

Raaijmakers, M. A. J., Smidts, D. P., Sergeant, J. A., Maassen, G. H., Posthumus, J. A., van Engeland, H., & Matthys, W. (2008). Executive functions in preschool children with aggressive behavior: Impairments in inhibitory control. Journal of Abnormal Child Psychology, 36(7), 1097–1107. https://doi.org/10.1007/s10802-008-9235-7CrossRefPubMed

Roos, C. R., Kober, H., Trull, T. J., MacLean, R. R., & Mun, C. J. (2020). Intensive longitudinal methods for studying the role of self-regulation strategies in substance use behavior change. Current Addiction Reports, 7(3), 301–316. https://doi.org/10.1007/s40429-020-00329-5CrossRefPubMedPubMedCentral

Rubin, K. H., Burgess, K. B., Dwyer, K. M., & Hastings, P. D. (2003). Predicting preschoolers’ externalizing behaviors from toddler temperament, conflict, and maternal negativity. Developmental Psychology, 39(1), 164–176. https://doi.org/10.1037/0012-1649.39.1.164CrossRefPubMed

Schoemaker, K., Mulder, H., Deković, M., & Matthys, W. (2013). Executive functions in preschool children with externalizing behavior problems: A meta-analysis. Journal of Abnormal Child Psychology, 41(3), 457–471. https://doi.org/10.1007/s10802-012-9684-xCrossRefPubMed

Schultzberg, M., & Muthén, B. (2018). Number of subjects and time points needed for multilevel time-series analysis: a simulation study of dynamic structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal, 25(4), 495–515. https://doi.org/10.1080/10705511.2017.1392862CrossRef

Sekhon, J. S. (2011). Multivariate and propensity score matching software with automated balance optimization: the matching package for R. Journal of Statistical Software, 42(7), 1–52. https://doi.org/10.18637/jss.v042.i07CrossRef

Sekhon, J. S. (2021). Package “Matching.” https://github.com/JasjeetSekhon/Matching

Shader, T. M., Gatzke-Kopp, L. M., Crowell, S. E., Reid, M. J., Thayer, J. F., Vasey, M. W., ... & Beauchaine, T. P. (2018). Quantifying respiratory sinus arrhythmia: Effects of misspecifying breathing frequencies across development. Development and Psychopathology, 30(1), 351–366. https://doi.org/10.1017/S0954579417000669CrossRefPubMed

Shaffer, F., & Ginsberg, J. P. (2017). An overview of heart rate variability metrics and norms. Frontiers in Public Health, 258. https://doi.org/10.3389/fpubh.2017.00258

Shaffer, D., Fisher, P., Lucas, C. P., Dulcan, M. K., & Schwab-Stone, M. E. (2000). NIMH Diagnostic Interview Schedule for Children Version IV (NIMH DISC-IV): Description, differences from previous versions, and reliability of some common diagnoses. Journal of the American Academy of Child & Adolescent Psychiatry, 39(1), 28–38. https://doi.org/10.1097/00004583-200001000-00014CrossRef

Sharpe, D. (2013). Why the resistance to statistical innovations? Bridging the communication gap. Psychological Methods, 18, 572–582. https://doi.org/10.1037/a0034177CrossRefPubMed

Simonds, J. (2006). The role of reward sensitivity and response: execution in childhood extraversion. University of Oregon. Unpublished doctoral dissertation.

van de Schoot, R., Kaplan, D., Denissen, J., Asendorpf, J. B., Neyer, F. J., & van Aken, M. A. (2014). A gentle introduction to Bayesian analysis: Applications to developmental research. Child Development, 85(3), 842–860. https://doi.org/10.1111/cdev.12169CrossRefPubMed

Van Goozen, S. H., Fairchild, G., Snoek, H., & Harold, G. T. (2007). The evidence for a neurobiological model of childhood antisocial behavior. Psychological Bulletin, 133(1), 149. https://doi.org/10.1037/0033-2909.133.1.149CrossRefPubMed

Titel: Physiological Dysregulation in Children With and Without Externalizing Difficulties: Novel Insights From Intensive Longitudinal Data
Auteurs: Hali Kil
Annabel Sibalis
Tyler Colasante
Marc Jambon
Erinn Acland
Anjali Suri
Tina Malti
Brendan F. Andrade
Publicatiedatum: 02-06-2023
Uitgeverij: Springer US
Gepubliceerd in: Research on Child and Adolescent Psychopathology / Uitgave 1/2024
Print ISSN: 2730-7166
Elektronisch ISSN: 2730-7174
DOI: https://doi.org/10.1007/s10802-023-01070-z

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