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Resting heart rate and the development of antisocial behavior from age 9 to 14: Genetic and environmental influences

Published online by Cambridge University Press:  07 July 2009

Laura A. Baker ,
Catherine Tuvblad ,
Chandra Reynolds ,
Mo Zheng ,
Dora Isabel Lozano  and
Adrian Raine
Laura A. Baker*
Affiliation:
University of Southern California
Catherine Tuvblad
Affiliation:
University of Southern California
Chandra Reynolds
Affiliation:
University of California, Riverside
Mo Zheng
Affiliation:
University of Southern California
Dora Isabel Lozano
Affiliation:
Universidad Autónoma de Ciudad Juárez, Mexico
Adrian Raine
Affiliation:
University of Pennsylvania
*
Address correspondence and reprint requests to: Laura A. Baker, Department of Psychology (SGM 501), University of Southern California, 3620 South McClintock Avenue, Los Angeles, CA 90089-1061; E-mail: [email protected].
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Abstract

The genetic and environmental basis of a well-replicated association between antisocial behavior (ASB) and resting heart rate was investigated in a longitudinal twin study, based on two measurements between the ages of 9 and 14 years. ASB was defined as a broad continuum of externalizing behavior problems, assessed at each occasion through a composite measure based on parent ratings of trait aggression, delinquent behaviors, and psychopathic traits in their children. Parent ratings of ASB significantly decreased across age from childhood to early adolescence, although latent growth models indicated significant variation and twin similarity in the growth patterns, which were explained almost entirely by genetic influences. Resting heart rate at age 9–10 years old was inversely related to levels of ASB but not change patterns of ASB across age or occasions. Biometrical analyses indicated significant genetic influences on heart rate during childhood, as well as ASB throughout development from age 9 to 14. Both level and slope variation were significantly influenced by genetic factors. Of importance, the low resting heart rate and ASB association was significantly and entirely explained by their genetic covariation, although the heritable component of heart rate explained only a small portion (1–4%) of the substantial genetic variance in ASB. Although the effect size is small, children with low resting heart rate appear to be genetically predisposed toward externalizing behavior problems as early as age 9 years old.

Type
Regular Articles
Information
Development and Psychopathology , Volume 21 , Issue 3: Precursors and Diverse Pathways to Personality Disorder in Children and Adolescents: Part 1 , August 2009 , pp. 939 - 960
Copyright
Copyright © Cambridge University Press 2009

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References

Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4–18 and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.Google Scholar
Achenbach, T. M., & Rescorla, L. A. (2000). Manual for ASEBA school-age forms and profiles. Burlington: VT: University of Vermont, Research Center for Children, Youth, & Families.Google Scholar
Akaike, A. C. (1987). Factor analysis and AIC. Psychometrika, 52, 317–332.CrossRefGoogle Scholar
American Psychiatric Association. (2004). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.Google Scholar
Arsenault, L., Moffitt, T. E., Caspi, A., Taylor, A., Rijsdijk, F. V., Jaffee, S. R., et al. (2003). Strong genetic effects on cross-situational antisocial behaviour among 5-year-old children according to mothers, teachers, examiner–observers, and twins' self-reports. Journal of Child Psychology and Psychiatry, 44, 832–848.CrossRefGoogle Scholar
Baker, L. A., Barton, M., Lozano, D. I., Raine, A., & Fowler, J. H. (2006). The Southern California Twin Register at the University of Southern California: II. Twin Research and Human Genetics, 9, 933–940.CrossRefGoogle ScholarPubMed
Baker, L. A., Barton, M., & Raine, A. (2002). The Southern California Twin Register at USC. Twin Research, 5, 456–459.CrossRefGoogle Scholar
Baker, L. A., Jacobson, K. C., Raine, A., Lozano, D. I., & Bezdjian, S. (2007). Genetic and environmental bases of childhood antisocial behavior: A multi-informant twin study. Journal of Abnormal Psychology, 116, 219–235.CrossRefGoogle ScholarPubMed
Bartels, M., Boomsma, D. I., Hudziak, J. J., Rietveld, M. J. H., van Beijsterveldt, T. C. E. M., & van den Oord, E. J. C. G. (2004). Disentangling genetic, environmental, and rater effects on internalizing and externalizing problem behavior in 10-year-old twins. Twin Research, 7, 162–175.CrossRefGoogle ScholarPubMed
Blum, K., Cull, J., Braverman, E., & Comings, D. (1996). Reward defiency syndrome: Addictive, impulsive and compulsive disorders—including alcoholism, attention deficit disorder, drug abuse and food bingeing—may have a common genetic basis. American Scientist, 84, 132–143.Google Scholar
Caspi, A., McClay, J., Moffitt, T. E., Mill, J., Martin, J., Craig, I. W., et al. (2002). Role of genotype in the cycle of violence in maltreated children. Science, 297, 851–854.CrossRefGoogle ScholarPubMed
Davidson, R. J. (1998). Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums. Psychophysiology, 35, 607–614.CrossRefGoogle ScholarPubMed
Davidson, R. J., Eckman, P., Saron, C. D., Senulis, J. A., & Friesen, W. V. (1990). Approach–withdrawal and cerebral asymmetry: Emotional expression and brain physiology I. Journal of Personality and Social Psychology, 58, 330–341.CrossRefGoogle ScholarPubMed
Dick, D. M., Aliev, F., Wang, J. C., Grucza, R. A., Schuckit, M., Kuperman, S., et al. (2008). Using dimensional models of externalizing psychopathology to aid in gene identification. Archives of General Psychiatry, 65, 310–318.CrossRefGoogle ScholarPubMed
Duncan, T. D., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling. Mahwah, NJ: Erlbaum.Google Scholar
Eysenck, H. (1997). Personality and the biosocial model of antisocial and criminal behavior. In Raine, A.Brennan, P. A., Farrington, D. P., & Mednick, S. A. (Eds.), Biosocial bases of violence (pp. 21–38). New York: Plenum Press.CrossRefGoogle Scholar
Farrington, D. P. (1997). The relationship between low resting heart rate and violence. In Raine, A., Brennan, P. A., Farrington, D. P., & Mednick, S. A. (Eds.), Biosocial bases of violence (pp. 89–106). New York: Plenum Press.CrossRefGoogle Scholar
Hare, R. D. (1985). Comparison of procedures for the assessment of psychopathy. Journal of Consulting Clinical Psychology, 53, 7–16.CrossRefGoogle ScholarPubMed
Krueger, R. F., Hicks, B. M., Patrick, C. J., Carlson, S. R., Iacono, W. G., & McGue, M. (2002). Etiologic connections among substance dependence, antisocial behavior and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology, 111, 411–424.CrossRefGoogle ScholarPubMed
Lynam, D. R. (1997). Pursuing the psychopath: Capturing the fledgling psychopath in a nomological net. Journal of Abnormal Psychology, 106, 424–438.CrossRefGoogle Scholar
Lynam, D. (2002). Fledgling psychopathy: A view from personality theory. Law and Human Behavior, 26, 255–259.CrossRefGoogle ScholarPubMed
McArdle, J. J. (1986). Latent variable growth within behavior genetic models. Behavior Genetics, 16, 163–200.CrossRefGoogle ScholarPubMed
McArdle, J. J. (2006). Latent curve analyses of longitudinal twin data using a mixed-effects biometric approach. Twin Research and Human Genetics 9, 343–359.CrossRefGoogle ScholarPubMed
McArdle, J. J., & Prescott, C. A. (2005). Mixed-effects variance components models for biometric family analyses. Behavior Genetics, 35, 631–652.CrossRefGoogle ScholarPubMed
McArdle, J. J., Prescott, C. A., Hamagami, F., & Horn, J. L. (1998). A contemporary method for developmental–genetic analyses of age changes in intellectual abilities. Developmental Neuropsychology, 14, 69–114.CrossRefGoogle Scholar
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A development taxonomy. Psychological Review, 100, 674–701.CrossRefGoogle ScholarPubMed
Neale, M. C., Boker, S. M., Xie, G., & Maes, H. H. (2003). Mx: Statistical modeling (6th ed.). Richmond, VA: Virginia Commonwealth University, Department of Psychiatry.Google Scholar
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, 154–162.CrossRefGoogle ScholarPubMed
Plomin, R. (2005). Finding genes in child psychology and psychiatry: When are we going to be there? Journal of Child Psychology and Psychiatry, 46, 1030–1038.CrossRefGoogle Scholar
Plomin, R., DeFries, J. C., Craig, I. W., & McGuffin, P. (2003). Behavioral genomics. In Plomin, R., DeFries, J. C., Craig, I. W., & McGuffin, P. (Eds.), Behavioral genetics in the postgenomic era (pp. 531–540). Washington, DC: American Psychological Association.CrossRefGoogle ScholarPubMed
Quay, H. C. (1965). Psychopathic personality as pathological stimulation-seeking. American Journal of Psychiatry, 122, 180–183.CrossRefGoogle ScholarPubMed
Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111–163.CrossRefGoogle Scholar
Raine, A. (2002). Annotation: The role of prefrontal deficits, low autonomic arousal, and early health factors in the development of antisocial and aggressive behavior in children. Journal of Child Psychology and Psychiatry, 43, 417–434.CrossRefGoogle ScholarPubMed
Raine, A., Baker, L., & Liu, J. (2006). Biological risk factors for antisocial and criminal behavior. In Raine, A. (Ed.), Crime and schizophrenia: Causes and cures (pp. 83–108). New York: Nova Science.Google Scholar
Raine, A., Dodge, K., Loeber, R., Gatzke-Kopp, L., Lynam, D., Reynolds, C., et al. (2006). The Reactive–Proactive Aggression Questionnaire: Differential correlates of reactive and proactive aggression in adolescent boys. Aggressive Behavior, 32, 159–171.CrossRefGoogle ScholarPubMed
Raine, A., Moffitt, T. E., Caspi, A., Loeber, R., Stouthamer-Loeber, M., & Lynam, D. (2005). Neurocognitive impairments in boys on the life-course persistent antisocial path. Journal of Abnormal Psychology, 114, 38–49.CrossRefGoogle ScholarPubMed
Raine, A., Venables, P. H., & Mednick, S. A. (1997). Low resting heart rate at age 3 years predisposes to aggression at age 11 years: Evidence from the mauritius child health project. Journal of the American Academy of Child & Adolescent Psychiatry, 36, 1457–1464.CrossRefGoogle ScholarPubMed
Raine, A., Venables, P. H., & Williams, M. (1990). Autonomic orienting responses in 15-year-old male subjects and criminal behavior at age 24. American Journal of Psychiatry, 147, 933–937.Google ScholarPubMed
Raine, A., & Yang, Y. (2006). Neural foundations to moral reasoning and antisocial behavior. Social, Cognitive, and Affective Neuroscience, 1, 203–213.CrossRefGoogle ScholarPubMed
Rhee, S. H., & Waldman, I. D. (2002). A meta-analytic review of twin and adoption studies examining antisocial behavior. Psychological Bulletin, 128, 490–529.CrossRefGoogle Scholar
Rice, T., An, P., Gagnon, J., Leon, A. S., Skinner, J. S., Wilmore, J. H., et al. (2002). Heritability of HR and BP response to exercise training in the HERITAGE Family Study. Medicine and Science in Sports and Exercise, 34, 972–979.CrossRefGoogle ScholarPubMed
Rommelse, N. N., Arias-Vasquez, A., Altink, M. E., Buschgens, C. J., Fliers, E., Asherson, P., et al. (2008). Neuropsychological endophenotype approach to genome-wide linkage analysis identifies susceptibility loci for ADHD on 2q21.1 and 13q12.11. American Journal of Human Genetics, 83, 99–105.CrossRefGoogle ScholarPubMed
Rubin, D. B. (1976). Inference and missing data. Biometrika, 61, 581–592.CrossRefGoogle Scholar
Rutter, M., Moffitt, T. E., & Caspi, A. (2006). Gene–environment interplay and psychopathology: Multiple varieties but real effects. Journal of Child Psychology and Psychiatry, 47, 226–261.CrossRefGoogle ScholarPubMed
SAS. (2005). SAS/STAT software: Changes and enhancements through release 9.1. Cary, NC: Author.Google Scholar
Shaffer, D., Fisher, P., Lucas, C., & Comer, J. (2000). Diagnostic Interview Schedule for Children—DISC IV. New York: Columbia University.Google ScholarPubMed
Snieder, H., Harshfield, G. A., & Treiber, F. A. (2003). Heritability of blood pressure and hemodynamics in African- and European-American youth. Hypertension, 41, 1196–1201.CrossRefGoogle ScholarPubMed
Tuvblad, C., Isen, J., Baker, L., Raine, A., Lozano, D. I., & Jacobson, K. C. (2009). The genetic and environmental etiology of sympathetic and parasympathetic activity in children. Unpublished manuscript.Google Scholar
Tuvblad, C., Owen, L., Baker, L. A., & McArdle, J. J. (2009). Continuity and change in psychopathic traits from childhood to adolescence: A longitudinal twin study. Unpublished manuscript.Google Scholar
Tuvblad, C., Raine, A., & Baker, L. A. (2009). The genetic and environmental stability differs in reactive and proactive aggression. Unpublished manuscript.Google ScholarPubMed
van Goozen, S. H., & Fairchild, G. (2008). How can the study of biological processes help design new interventions for children with severe antisocial behavior? Development and Psychopathology, 20, 941–973.CrossRefGoogle Scholar
Wadsworth, M. (1976). Delinquency, pulse rates, and early emotional deprivation. British Journal of Criminology, 16, 245–256.CrossRefGoogle Scholar
Woodcock, R., & Johnson, M. (1989). Woodcock–Johnson Psycho-Educational Battery—Revised. Chicago: Riverside.Google Scholar
Zoccolotti, P., Caltagirone, C., Beneditti, N., & Gainotti, G. (1986). Pertubations des responses vegetitives aux stimuli emotionels au cours des lesions hemispheriques unilaterales. Encaphale, 12, 263–268.Google Scholar