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

  • Laura A. Baker (a1), Catherine Tuvblad (a1), Chandra Reynolds (a2), Mo Zheng (a1), Dora Isabel Lozano (a3) and Adrian Raine (a4)...

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.

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Corresponding author

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: lbaker@usc.edu.

References

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Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4–18 and 1991 profile. Burlington, VT: University of Vermont, Department of Psychiatry.
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.
Akaike, A. C. (1987). Factor analysis and AIC. Psychometrika, 52, 317332.
American Psychiatric Association. (2004). Diagnostic and statistical manual of mental disorders (4th ed., text revision). Washington, DC: Author.
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, 832848.
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, 933940.
Baker, L. A., Barton, M., & Raine, A. (2002). The Southern California Twin Register at USC. Twin Research, 5, 456459.
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, 219235.
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, 162175.
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, 132143.
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, 851854.
Davidson, R. J. (1998). Anterior electrophysiological asymmetries, emotion, and depression: Conceptual and methodological conundrums. Psychophysiology, 35, 607614.
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, 330341.
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, 310318.
Duncan, T. D., Duncan, S. C., & Strycker, L. A. (2006). An introduction to latent variable growth curve modeling. Mahwah, NJ: Erlbaum.
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. 2138). New York: Plenum Press.
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. 89106). New York: Plenum Press.
Hare, R. D. (1985). Comparison of procedures for the assessment of psychopathy. Journal of Consulting Clinical Psychology, 53, 716.
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, 411424.
Lynam, D. R. (1997). Pursuing the psychopath: Capturing the fledgling psychopath in a nomological net. Journal of Abnormal Psychology, 106, 424438.
Lynam, D. (2002). Fledgling psychopathy: A view from personality theory. Law and Human Behavior, 26, 255259.
McArdle, J. J. (1986). Latent variable growth within behavior genetic models. Behavior Genetics, 16, 163200.
McArdle, J. J. (2006). Latent curve analyses of longitudinal twin data using a mixed-effects biometric approach. Twin Research and Human Genetics 9, 343359.
McArdle, J. J., & Prescott, C. A. (2005). Mixed-effects variance components models for biometric family analyses. Behavior Genetics, 35, 631652.
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, 69114.
Moffitt, T. E. (1993). Adolescence-limited and life-course-persistent antisocial behavior: A development taxonomy. Psychological Review, 100, 674701.
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.
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, 154162.
Plomin, R. (2005). Finding genes in child psychology and psychiatry: When are we going to be there? Journal of Child Psychology and Psychiatry, 46, 10301038.
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. 531540). Washington, DC: American Psychological Association.
Quay, H. C. (1965). Psychopathic personality as pathological stimulation-seeking. American Journal of Psychiatry, 122, 180183.
Raftery, A. E. (1995). Bayesian model selection in social research. Sociological Methodology, 25, 111163.
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, 417434.
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. 83108). New York: Nova Science.
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, 159171.
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, 3849.
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, 14571464.
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, 933937.
Raine, A., & Yang, Y. (2006). Neural foundations to moral reasoning and antisocial behavior. Social, Cognitive, and Affective Neuroscience, 1, 203213.
Rhee, S. H., & Waldman, I. D. (2002). A meta-analytic review of twin and adoption studies examining antisocial behavior. Psychological Bulletin, 128, 490529.
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, 972979.
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, 99105.
Rubin, D. B. (1976). Inference and missing data. Biometrika, 61, 581592.
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, 226261.
SAS. (2005). SAS/STAT software: Changes and enhancements through release 9.1. Cary, NC: Author.
Shaffer, D., Fisher, P., Lucas, C., & Comer, J. (2000). Diagnostic Interview Schedule for Children—DISC IV. New York: Columbia University.
Snieder, H., Harshfield, G. A., & Treiber, F. A. (2003). Heritability of blood pressure and hemodynamics in African- and European-American youth. Hypertension, 41, 11961201.
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.
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.
Tuvblad, C., Raine, A., & Baker, L. A. (2009). The genetic and environmental stability differs in reactive and proactive aggression. Unpublished manuscript.
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, 941973.
Wadsworth, M. (1976). Delinquency, pulse rates, and early emotional deprivation. British Journal of Criminology, 16, 245256.
Woodcock, R., & Johnson, M. (1989). Woodcock–Johnson Psycho-Educational Battery—Revised. Chicago: Riverside.
Zoccolotti, P., Caltagirone, C., Beneditti, N., & Gainotti, G. (1986). Pertubations des responses vegetitives aux stimuli emotionels au cours des lesions hemispheriques unilaterales. Encaphale, 12, 263268.

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