Specific biomarkers of internalizing and externalizing characteristics among first-time driving while impaired offenders
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1 Specific biomarkers of internalizing and externalizing characteristics among first-time driving while impaired Sophie Couture Centre jeunesse de Montréal-Institut universitaire; School of Criminology, Université de Montréal Ivana Di Leo Addictions Research Program, Douglas Mental Health University Institute; McGill University Thomas G. Brown Addictions Research Program, Douglas Mental Health University Institute; Department of Psychiatry, McGill University Abstract Background Studies have described the externalizing (e.g., antisocial propensity) and internalizing (e.g., anxiety, depression) characteristics of driving while impaired (DWI) recidivism. However, the respective contribution of those characteristics to recidivism risk and their underlying mechanisms are still unknown. Cortisol, a stress hormone, is a biomarker underlying various high-risk characteristics. Studies have found that first-time DWI (fdwi) and recidivists have lower cortisol reactivity (CR) than non-dwi drivers. In other high-risk populations, internalizing characteristics has been positively correlated to cortisol basal levels (CBL). To disentangle the distinct recidivism trajectories in the fdwi offender population, this study explored whether cortisol measures were markers of externalizing and internalizing characteristics. Aims Hypotheses 1: CR is lower among fdwi with higher versus lower externalizing propensity (driving violations, criminal arrests, antisocial tendency, sensation seeking, impulsivity); 2: CBL is higher among fdwi with higher versus lower internalizing propensity (anxiety, depression). Methods Male fdwi (n = 126) were recruited and submitted to the following protocols: Millon Clinical Multiaxial Inventory (antisocial tendency, anxiety, depression); Addiction Severity Index (major driving violations, criminal arrests); Sensation Seeking Scale; Barratt Impulsivity Scale and salivary cortisol measured after a psychosocial stress task and during a resting day. Cluster analyses and ANOVA were performed. Results fdwi with higher externalizing propensity have a lower CR compared to with lower propensity (F(1, 124) = 5.85, p =.017). Moreover, CBL is higher among with higher versus lower internalizing propensity (F(1, 124) = 5.55, p =.020). 1
2 Discussion and conclusions The current study revealed dissimilar associations between cortisol measures and externalizing and internalizing propensity among fdwi. These results suggested that externalizing and internalizing characteristics, two high-risk dimensions associated to DWI recidivism, involved in specific underlying mechanisms. Increasing knowledge on these underlying mechanisms may more precisely explain the various etiological pathways to DWI recidivism. Introduction Road traffic injuries represent the ninth leading contributor to the burden of disease and injury (World Health Organization, 2004). Approximately one third of first-time driving while impaired (fdwi) will recidivate (Impinen et al., 2009), with recidivists responsible for a disproportionate number of accidents involving alcohol (Nochajski & Stasiewicz, 2006). In order to improve traffic safety, a better understanding of the propensity of engaging in high-risk behaviour by fdwi is needed. High-risk propensity: externalizing and internalizing characteristics Various studies have identified high-risk characteristics associated to driving while impaired (DWI) recidivism risk. Externalizing characteristics, as defined by criminal and antisocial behaviours, have been frequently linked to recidivism (LaBrie, Kidman, Albanese, Peller, & Shaffer, 2007). Attention has more recently turned to internalizing characteristics (i.e., depression, anxiety) in DWI. For example, a study investigating various personality and mental health characteristics among severe DWI (BAC 0.10%) has shown that the only significant predictor of DWI relapse, over a two-year period, was depression (Hubicka, Källmén, Hiltunen, & Bergman, 2010). Furthermore, a high anxiety subgroup had instigated more at-fault crashes over the past three years and had more DWI episodes during the preceding year compared to low and medium anxiety subgroups (Dula, Adams, Miesner, & Leonard, 2010). Externalizing and internalizing characteristics seems associated with different pathways to fdwi behaviour (Schlauch, O'Malley, Rounsaville, & Ball, 2012). Still, the association between externalizing and internalizing characteristics and high-risk driving behaviours has not always been consistent (Ulleberg & Rundmo, 2003), suggesting that behavioural indices may be inadequate for disentangling the different trajectories to DWI. To reconcile these inconsistencies, one strategy is to shift focus onto neurobiological markers of behavioural risk. Underlying neurobiological mechanisms of externalizing and internalizing characteristics Investigators have suggested to incorporate biological and genetic factors for an improved understanding of DWI recidivism propensity (Eensoo, Paaver, Harro, & Harro, 2005). After exposure to a psychological or physiological stress, a cascade of hormones is activated from hypothalamic-pituitary-adrenal (HPA) axis with cortisol released from the adrenal cortex in the last stage of this process. Cortisol excretion follows a circadian rhythm that fluctuates throughout the day. As such, cortisol may be measured as cortisol basal level (CBL) or as reactivity (CR) to a stressful situation. The relationship between HPA axis, alcohol abuse and delinquent behaviour, led Brown and colleagues (2005) to posit that dysregulation of the HPA axis might be at play in DWI as well. 2
3 Some studies showed that CBL or CR may be related differently to externalizing and internalizing characteristics. For now, some externalizing characteristics have been investigated in relation to CR of DWI. First, Brown and colleagues (2005) found that CR of DWI, measured by sampling saliva during a challenging neuropsychological assessment, was inversely correlated to the frequency of previous DWI convictions, a relationship especially marked in recidivists and significantly independent from alcohol abuse severity. Second, recidivists (Couture et al., 2008) and fdwi (Couture et al., submitted) had a reduced CR than non-dwi controls. Finally, compared to fdwi with higher CR to stress, with lower CR were more likely to show lower educational achievement, exhibit greater impulsiveness, and smoke cigarettes. In these studies, stress reactivity was considered as the difference between pre-stress and post-stress cortisol measures. As such, lower CR seems related to various externalizing characteristics among DWI, although CBL did not seem significant. In other populations, internalizing characteristics have been usually linked to CBL. Among adolescents, internalizing characteristics were associated to morning levels of cortisol (Ruttle et al., 2011). In addition, healthy young men with higher trait anxiety were associated to higher CBL but not to CR (Takahashi et al., 2005). Moreover, patients with major depressive disorders had higher CBL in the afternoon than controls, but no effect was found for CR (Burke, Davis, Otte, & Mohr, 2005). Even among healthy young adults, depressive symptomology was linked to higher CBL during waking hours (Pruessner, Hellhammer, Pruessner, & Lupien, 2003). To date, no studies conducted with DWI have considered the association between internalizing characteristics and CBL. In order to improve our understanding of DWI recidivism risk, the present study aimed to increase knowledge on how dissimilar HPA axis dimensions might be linked to higher externalizing and internalizing propensity. The study tested two hypotheses: 1) CR is lower among fdwi with higher than those with lower externalizing propensity (driving violations, criminal arrests, antisocial tendency, sensation seeking, impulsivity); 2): CBL is higher among fdwi with higher than those with lower internalizing propensity (anxiety, depression). Methods The current study, part of a longitudinal study, was conducted at the Douglas Mental Health University Institute, a McGill University affiliated facility located in Montreal, Quebec, Canada. Male fdwi (n = 126) were recruited from ethics approved newspaper advertisements, posters and invitation letters displayed in public addiction treatment centers and company certified to install mandated interlock devices. Inclusion criteria: 1) age between 18 and 44 years; 2) minimum of a 6 th grade education; 3) access to official driving records from 2002 to 2016; and 4) fdwi conviction within the past 24 months. Exclusion criteria: 1) female sex, 2) medical conditions that could interfere with normal HPA, and 3) risk of alcohol withdrawal (assessment scale and physician examination) or alcohol consumption (blood alcohol concentration > 0.01% or visible substance-induced impairment) on testing day. Participants were invited to three sessions on separate days. The first session involved psychosocial and neuropsychological questionnaires. The next two sessions measured cortisol level with nine saliva samples. One session comprised of a resting period and the other, a stress task. The stress task comprised of answering mathematical questions under a time constraint for a monetary prize. 3
4 Measures For this study, the antisocial predisposition, anxiety and depression were assessed with the Millon Clinical Multiaxial Inventory III (Piotrowski, 1997). Sensation seeking was measured with the Sensation Seeking Scale form V (Zuckerman, 1994), and impulsivity was measured using the Barratt Impulsivity Scale version 11. Moreover, non-dwi major driving violations and non-dwi criminal arrests since the age of 18 (dichotomised as absence = 0 or presence = 1) were measured with the legal section of the Addiction Severity Index questionnaire (McLellan et al., 1985). Sociodemographic information was gathered from a combination of the Composite International Diagnostic Interview version 2.1 (World Health Organization, 1997), and specific questions regarding age, years of education, income, and kilometres driven during past 12 months. Cortisol level (µg/100 ml) was assessed with cotton swabs Salivette devices. Using the nine samples from the rest session, CBL was calculated with the area under the curve with respect to ground formula (Pruessner, Kirschbaum, Meinlschmid, & Hellhammer, 2003). CR was considered as the difference between the sample before and after the stress task and during the stress session. Analyses Twostep clusters were performed, with forced two classes, to classify fdwi with higher and lower externalizing (driving violations, criminal arrests, antisocial tendency, sensation seeking, impulsivity) and internalizing (anxiety, depression) propensity, respectively. CR and CBL, as independent variables, were then entered in a one-way ANOVA for both cluster groupings (higher or lower externalizing and internalizing propensity). Results Participants had a mean age of 27.9 years (SD = 6.8), 14.1 years of education (SD = 2.6) and drove kilometres during the past year (SD = ). As expected in the first hypothesis, fdwi with higher externalizing propensity had lower CR (M =.04, SD =.17) compared to with lower externalizing propensity (M =.19, SD =.37; F(1, 124) = 5.85, p =.017, partial η 2 =.05). Finally, second hypothesis was also supported, more precisely, fdwi with higher internalizing propensity had higher CBL (M = 73.87, SD = 86.11) than with lower internalizing propensity (M = 46.86, SD = 42.20; F(1, 124) = 5.55, p =.020, partial η 2 =.04). Additional analysis suggested that fdwi with higher or lower externalizing propensity were not differently distributed on higher or lower internalizing propensity (χ 2 (1) = 0.54, p =.548). Discussion and conclusions To date, studies of DWI characteristics have rarely considered externalizing and internalizing characteristics simultaneously (Schlauch, et al., 2012) and their respective neurobiological underpinning. Though, such an approach may improve the inherent limits of descriptive research by understanding the fundamental mechanisms involved in DWI recidivism risk. In the current study, the consideration of two neurobiological markers (i.e., CR and CBL) seemed useful to identify two distinct ways might get to DWI recidivism. The two hypotheses of the present study were supported. The CR was lower among fdwi with higher versus lower externalizing propensity, and the CBL was higher among 4
5 those with higher versus lower internalizing propensity. As such, even among the same fdwi offender sample, both externalizing and internalizing characteristics were present and linked differently to HPA axis dimensions. As seen among other populations, externalizing and internalizing characteristics were associated to different HPA axis dimensions. For example, among adolescents, externalizing characteristics were associated to diurnal cortisol slope (i.e., the amount of cortisol decline during the day) and internalizing characteristics were associated to morning levels of cortisol (Ruttle, et al., 2011). Still, the non-distinctiveness between externalizing and internalizing propensity grouping underlined the high comorbidity between these two distinct high-risk dimensions. To improve our understanding of DWI recidivism risk, the investigation of these two distinct, but highly linked, characteristics is warranted. This cross-sectional study had some inherent limitations. First, it is impossible to attest whether CR or CBL predated or resulted of externalizing and internalizing characteristics. In addition, it is too early to speculate the reason why these characteristics were linked to different HPA axis dimensions. Still, it will be interesting to investigate, with the longitudinal part of the study, if these two different pathways are linked to future high-risk driving behaviours. Secondly, the study may not generalize to female fdwi. In fact, female fdwi have less externalizing and more internalizing characteristics compared to male fdwi (Lapham et al., 2001). To conclude, determination of subgroups with genetic/biological, physiological and behavioural endophenotypes may help better understand the various risk factors related to the development of high-risk behaviours (Hines, Ray, Hutchison, & Tabakoff, 2005). Accordingly, the current study added to this research area by improving knowledge on the various pathways to DWI recidivism risk. References Brown, T. G., Gianoulakis, C., Tremblay, J., Nadeau, L., Dongier, M., Ng Ying Kin, N. M. K.,... Ouimet, M. C. (2005). Salivary cortisol: A predictor of convictions for driving under the influence of alcohol? Alcohol and Alcoholism, 40(5), Burke, H. M., Davis, M. C., Otte, C., & Mohr, D. C. (2005). Depression and cortisol responses to psychological stress: A meta-analysis. Psychoneuroendocrinology, 30(9), Couture, S., Brown, T. G., Ouimet, M. C., Gianoulakis, C., Tremblay, J., & Carbonneau, R. (2008). Hypothalamic-pituitary-adrenal axis response to stress in male DUI recidivists. Accident Analysis & Prevention, 40(1), Couture, S., Ouimet, M. C., Gianoulakis, C., Tremblay, J., Ng Ying Kin, N. M. K., Brochu, S.,... Brown, T. G. (submitted). Lower cortisol reactivity to psychosocial stress is a marker of highrisk in first-time driving while impaired. Psychoneuroendocrinology. Dula, C. S., Adams, C. L., Miesner, M. T., & Leonard, R. L. (2010). Examining relationships between anxiety and dangerous driving. Accident Analysis & Prevention, 42(6), Eensoo, D., Paaver, M., Harro, M., & Harro, J. (2005). Predicting drunk driving: Contribution of alcohol use and related problems, traffic behaviour, personality and platelet monoamine oxidase (MAO) activity. Alcohol and Alcoholism, 40(2), Hines, L. M., Ray, L., Hutchison, K., & Tabakoff, B. (2005). Alcoholism: The dissection for endophenotypes. Dialogues in Clinical Neuroscience, 7,
6 Hubicka, B., Källmén, H., Hiltunen, A., & Bergman, H. (2010). Personality traits and mental health of severe drunk drivers in Sweden. Social Psychiatry and Psychiatric Epidemiology, 45(7), Impinen, A., Rahkonen, O., Karjalainen, K., Lintonen, T., Lillsunde, P., & Ostamo, A. (2009). Substance use as a predictor of Driving Under the Influence (DUI) rearrests. A 15-year retrospective study. Traffic Injury Prevention, 10(3), LaBrie, R. A., Kidman, R. C., Albanese, M., Peller, A. J., & Shaffer, H. J. (2007). Criminality and continued DUI offense: Criminal typologies and recidivism among repeat. Behavioral Sciences and the Law, 25(4), Lapham, S. C., Smith, E., C'de Baca, J., Chang, I., Skipper, B. J., Baum, G., & Hunt, W. C. (2001). Prevalence of psychiatric disorders among persons convicted of driving while impaired. Archives of General Psychiatry, 58(10), McLellan, A. T., Luborsky, L., Cacciola, J., Griffith, J., Evans, F., Barr, H. L., & O Brien, C. P. (1985). New data from the Addiction Severity Index. Reliability and validity in three centers. Journal of Nervous and Mental Disease, 173, Nochajski, T. H., & Stasiewicz, P. R. (2006). Relapse to driving under the influence (DUI): A review. Clinical Psychology Review, 26(2), Piotrowski, C. (1997). Use of the Millon Clinical Multiaxial Inventory in clinical practice. Perceptual and Motor Skills, 84, Pruessner, J. C., Kirschbaum, C., Meinlschmid, G., & Hellhammer, D. H. (2003). Two formulas for computation of the area under the curve represent measures of total hormone concentration versus time-dependent change. Psychoneuroendocrinology, 28(7), Pruessner, M., Hellhammer, D. H., Pruessner, J. C., & Lupien, S. J. (2003). Self-reported depressive symptoms and stress levels in healthy young men: associations with the cortisol response to awakening. Psychosomatic Medicine, 65(1), Ruttle, P. L., Shirtcliff, E. A., Serbin, L. A., Ben-Dat Fisher, D., Stack, D. M., & Schwartzman, A. E. (2011). Disentangling psychobiological mechanisms underlying internalizing and externalizing behaviors in youth: Longitudinal and concurrent associations with cortisol. Hormones and Behavior, 59(1), Schlauch, R. C., O'Malley, S. S., Rounsaville, B. J., & Ball, S. A. (2012). Internalizing and externalizing dimensions and alcohol use in first time DWI : Indirect effects through coping self-efficacy. Psychology of addictive behaviors, 26(1), Schuckit, M. A., & Smith, T. L. (2006). An evaluation of the level of response to alcohol,externalizing symptoms, and depressive symptoms as predictors of alcoholism. Journal of Studies on Alcohol, 67, Takahashi, T., Ikeda, K., Ishikawa, M., Kitamura, N., Tsukasaki, T., Nakama, D., & Kameda, T. (2005). Anxiety, reactivity, and social stress-induced cortisol elevation in humans. Neuroendocrinology Letters, 26(4), Ulleberg, P., & Rundmo, T. (2003). Personality, attitudes and risk perception as predictors of risky driving behaviour among young drivers. Safety Science, 41(5), World Health Organization. (1997). Composite International Diagnostic Interview (CIDI) Core Version 2.1: Interviewer s manual (pp. 100). World Health Organization. (2004). World report on road traffic injury prevention: Summary. In M. Peden (Ed.). Geneva, Switzerland. Zuckerman, M. (1994). Behavioral expressions and biosocial bases of sensation seeking. New York, NY: The Cambridge University Press. 6
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