The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Relationships Between Central and Autonomic Measures of Arousal at Age 15 Years and Criminality at Age 24 Years
Abstract
Previous studies have indicated that criminality is in part genetically determined, but it is not clear how this predisposition manifests itself at a biological level. This prospective study tests the hypothesis that a psychophysiological predisposition to criminality partly manifests itself through autonomic and central nervous system underarousal. Psychophysiological measures, taken at the age of 15 years, were related to criminality status that was assessed at the age of 24 years. Criminals had a significantly lower resting heart rate, skin conductance activity, and more slow-frequency electroencephalographic activity than noncriminals. Differences were not mediated by social, demographic, and academic factors. These results constitute the first clear evidence that implicates underarousal in all three response systems (electrodermal, cardiovascular, and cortical) in the development of criminality. Although arousal variables correctly classified 74.7% of all subjects, psychophysiological factors alone cannot fully account for criminal behavior and do not negate the potential role of social variables in predicting criminal behavior.
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Cites
Changes in EEG alpha frequency and evoked response latency during solitary confinement
Gendreau, P., Freedman, N. L., Wilde, G. J., & Scott, G. D. (1972) · Journal of Abnormal Psychology · doi:10.1037/h0032339 · Cited by 43
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Susman, E. J. (2006) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2005.08.002 · Cited by 340
Anxiety, antisocial behavior, and heart rate regulation in adolescent males
Mezzacappa, E., Tremblay, R. E., Kindlon, D., Saul, J. P., Arseneault, L., Seguin, J., Pihl, R. O., & Earls, F. (1997) · Journal of Child Psychology and Psychiatry · doi:10.1111/j.1469-7610.1997.tb01531.x · Cited by 223
Protective factors and resilience
Lösel, F., & Bender, D. (2003) · Early Prevention of Adult Antisocial Behaviour · doi:10.1017/cbo9780511489259.006 · Cited by 219
Simultaneous EEG and EDA measures in adolescent attention deficit hyperactivity disorder
Lazzaro, I., Gordon, E., Li, W., Lim, C. L., Plahn, M., Whitmont, S., Clarke, S., Barry, R. J., Dosen, A., & Meares, R. (1999) · International Journal of Psychophysiology · doi:10.1016/s0167-8760(99)00068-9 · Cited by 159
HERPERTZ, S. C., WENNING, B., MUELLER, B., QUNAIBI, M., SASS, H., & HERPERTZ-DAHLMANN, B. (2001) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1097/00004583-200110000-00017 · Cited by 126
Diane Santesso, L., Reker Dana, L., Schmidt, L. A., & Segalowitz, S. J. (2006) · Child Psychiatry and Human Development · doi:10.1007/s10578-005-0005-2 · Cited by 83
van Bokhoven, I., Matthys, W., van Goozen, S. H. M., & van Engeland, H. (2005) · European Child & Adolescent Psychiatry · doi:10.1007/s00787-005-0455-x · Cited by 58
Godar, S. C., Mosher, L. J., Scheggi, S., Devoto, P., Moench, K. M., Strathman, H. J., Jones, C. M., Frau, R., Melis, M., Gambarana, C., et al. (2019) · Neuropharmacology · doi:10.1016/j.neuropharm.2019.01.028 · Cited by 33
Poverty, Stress, and Autonomic Reactivity
Alkon, A., Wolff, B., & Boyce, W. T. (2012) · The Oxford Handbook of Poverty and Child Development · doi:10.1093/oxfordhb/9780199769100.013.0012 · Cited by 20
Psychophysiological Methods for the Study of Developmental Psychopathology
Fox, N. A., Ashley Hane, A., & Pérez‐Edgar, K. (2015) · Developmental Psychopathology · doi:10.1002/9780470939390.ch9 · Cited by 16
Update on Antisocial Personality Disorder.
Black, D. W. (2024) · Current Psychiatry Reports · doi:10.1007/s11920-024-01528-x · Cited by 5
Metadata
- Authors
- Raine, A.
- Venue
- Archives of General Psychiatry
- Publisher
- American Medical Association (AMA)
- Published
- 1990-11-01
- Volume
- 47
- Issue
- 11
- Pages
- 1003
- ISSN
- 0003-990X (ISSN-L)
- OpenAlex
- W2007195137
- Cited by
- 367
- References
- 1
- FWCI
- 9.24
- Type
- journal article
- Language
- en
- Open access
- closed
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