Antisocial behaviours and psychopathic traits place an individual at risk for criminality, mental illness, substance dependence, and psychosocial dysfunction. Social cognition deficits appear to be associated with psychopathic traits and are believed to contribute to interpersonal dysfunction. Most research investigating the relationship of these traits with social cognition has been conducted either in children or adult forensic settings. We investigated whether psychopathic traits were associated with social cognition in 91 young people presenting for mental healthcare (aged between 15 and 25 years). Participants completed symptom severity measures, neuropsychological tests, the Reading the Mind in the Eyes Test of social cognition (RMET), and the Antisocial Process Screening Device (APSD) to assess psychopathic personality traits. Correlation analyses showed poorer social cognition was associated with greater psychopathic traits (r = −.36, p = .01). Interestingly, social cognition performance predicted unique variance in concurrent psychopathic personality traits above gender, IQ sustained attention, and working memory performance. These findings suggest that social cognitive impairments are associated with psychopathic tendencies in young people presenting for community mental healthcare. Research is needed to establish the directionality of this relationship and to determine whether social cognition training is an effective treatment amongst young people with psychopathic tendencies.
Citation: van Zwieten A, Meyer J, Hermens DF, Hickie IB, Hawes DJ, Glozier N, et al. (2013) Social Cognition Deficits and Psychopathic Traits in Young People Seeking Mental Health Treatment. PLoS ONE 8(7): e67753. https://doi.org/10.1371/journal.pone.0067753
Editor: Antonio Verdejo García, University of Granada, Spain
Received: February 1, 2013; Accepted: May 21, 2013; Published: July 4, 2013
Copyright: © 2013 van Zwieten et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding: AJG, DFH, and IBH were supported by an NHMRC Australia Fellowship awarded to IBH (No. 464914). DFH was supported by a grant from the NSW Ministry of Health, Mental Health and Drug & Alcohol Office. SLN was funded by an NHMRC Clinical Research Fellowship (No. 402864). This research was further supported by an NHMRC Program Grant (No. 350241), an ARC linkage Grant (LP110100513) and a Centres of Clinical Research Excellence Grant (No. 264611). EMS and IBH have received educational and research programs/grants that are supported by the pharmaceutical industry (including Servier, Pfizer, AstraZeneca, and Eli Lilly). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: DFH is currently supported by a grant from the NSW Ministry of Health, Mental Health and Drug & Alcohol Office as well as an NHMRC Australia Fellowship (awarded to IBH). In 2007, he received honoraria for educational seminars from Janssen-Cilag. EMS is the (unpaid) Clinical Director of Headspace Services at the BMRI, the (unpaid) Co-ordinator of the Youth Mental Health Research Program at the BMRI and Deputy Director of St Vincent’s Private Hospital Young Adult Mental Health Unit. She has received honoraria for educational seminars related to the clinical management of depressive disorders supported by Servier and Eli-Lilly pharmaceuticals. She has participated in a national advisory board for the antidepressant compound Pristiq, manufactured by Pfizer. IBH is a member of the Medical Advisory Panel for BUPA Health Insurance (Australia) and also a Board Member of Psychosis Australia Trust. From 2012, he is a Commissioner in Australia’s new National Mental Health Commission. He was until January 2012 a director of headspace: the national youth mental health foundation. IBH was previously the chief executive officer (till 2003) and clinical adviser (till 2006) of beyondblue, an Australian National Depression Initiative. He is supported principally for clinical research in depression and health services and population health initiatives related to anxiety and depression by an NHMRC Australian Medical Research Fellowship (2007–2012). He has led projects for health professionals and the community supported by governmental, community agency and pharmaceutical industry partners (Wyeth, Eli Lily, Servier, Pfizer, AstraZeneca) for the identification and management of depression and anxiety. He has received honoraria for presentations of his own work at educational seminars supported by a number of nongovernment organisations and the pharmaceutical industry (including Pfizer, Servier and Astra Zeneca). He has served on advisory boards convened by the pharmaceutical industry in relation to specific antidepressants, including nefazodone, duloxetine and desvenlafaxine. He leads a new investigator-initiated study of the effects of agomelatine on circadian parameters (supported in part by Servier but also by other NHMRC funding) and has participated in a multicentre clinical trial of the effects of agomelatine on sleep architecture in depression and a Servier-supported study of major depression and sleep disturbance in primary care settings. In addition to national and international government-based grant bodies, investigator-initiated mental health research at the BMRI, he has been supported by various pharmaceutical manufacturers (including Servier and Pfizer) and not-for-profit entities (including the Heart Foundation, beyondblue and the BUPA Foundation). None of these declared interests alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.
Antisocial behaviors involve physical or psychological harm to others and include cheating, stealing, verbal or physical aggression, lying, overt or covert hostility, and other forms of criminality. A subgroup of antisocial adults also present with a constellation of psychopathic traits, which include affective (e.g., lack of empathy and guilt), interpersonal (e.g., use of others for self-gain), behavioral (e.g., impulsivity), and cognitive (e.g., inflated sense of self-importance) dimensions . Antisocial behavior and psychopathic personality traits are associated with numerous comorbid mental health problems, including substance dependence , , , , problem gambling , suicidality , and anxiety disorders , , , . They are also associated with social dysfunction in the form of interpersonal problems, unemployment, criminality, and aggression and violence towards others , .
Antisocial behaviors typically peak in late adolescence and early adulthood, with the expression of such behavior believed to increase ten-fold over this time . According to Moffitt , , the development of life-course-persistent antisocial behaviour (as opposed to the more common short-term juvenile delinquency) reflects an ongoing interaction between the developmental environment and underlying abnormalities in neuropsychological, emotional, and personality factors. Individuals on this trajectory tend to engage in antisocial behaviours from childhood right through to later life, rather than simply in the form of juvenile delinquent behaviours during adolescence. Blair’s  neurocognitive Violence Inhibition Mechanism (VIM) model specifically describes how socio-cognitive skills and other neuropsychological factors may interact with environmental factors in the development of psychopathy, suggesting that the disorder reflects a disruption in the normal process of moral socialization. Normally, the pairing of others’ distress cues (the aversive unconditioned stimulus) with mental representations of the personal moral transgressions that caused the distress (the conditioned stimulus) acts to classically condition the individual against antisocial behaviour. Where this is learning is disrupted, there is insufficient development of a moral conscience which normally serves to inhibit antisocial behaviour, and promote empathic behaviour and moral emotions . For instance, individuals who are insensitive to emotional expressions of fear and distress are unlikely to undergo the normal process of aversive conditioning to such cues during key periods of moral development.
Insensitivity to others’ emotional expressions (particularly negative emotions of distress and fear) and other social cognitive deficits have therefore been identified as a critical factor in the developmental pathway to psychopathy , , . Social cognition encompasses a range of abilities such as the capacity to hold gaze and attend to relevant features of faces, recognize facial expressions of emotions , identify and attribute signals of social threat , and infer others’ mental state (i.e., Theory of Mind abilities) . These social cognitive abilities are widely recognized as being crucial to socialization and normal social interaction , . In the context of psychopathy, social cognitive deficits are relevant not only in terms of developmental pathways but also in potentially reducing the efficacy of behaviourally based treatment programs , .
A number of studies have examined the relationship between social cognition and psychopathic traits in child and adolescent samples. One widely-used measure of psychopathic traits is the Antisocial Process Screening Device or APSD , which assesses callous/unemotional personality traits, narcissism, and impulsivity. In previous studies amongst children and adolescents, APSD scores have been found to be associated with deficits in emotional stimulus processing , , as well as outcome expectancies and values in relation to aggressive behaviour . One study by Blair and colleagues  showed that boys with greater psychopathic tendencies, as indicated by higher APSD scores, had a selective impairment for recognition of fearful vocal affect. Meanwhile, scores on the Callous-Unemotional subscale of the APSD have been shown to be associated with deficits in Theory of Mind , emotional processing and recognition , , , , , social problem solving skills , and the capacity for social eye gaze .
A limitation of existing research in this field is the lack of studies conducted in older adolescent and young adult populations. This is particularly surprising given the peak in anti-social behaviour across late adolescence and into young adulthood , increasing knowledge of the importance of successful transitions during this particular development period for longer term health, and the recent developments of targeted mental health services for this age group , .
In spite of the strong association between antisocial behaviour, psychopathic tendencies, and mental health problems, the relationship between APSD scores and social cognition has not been examined in young mental health treatment-seeking samples. Previous studies have been conducted in samples of children recruited from the community, juvenile offenders or children referred specifically for conduct or behavioral problems. The few studies that have examined relationships between social cognition and antisocial behaviours or psychopathy in adults have used incarcerated offenders , , , . This makes it difficult to draw conclusions about the value of research outcomes to community mental health settings where the majority of clinicians practice.
The purpose of this study was to assess the relationship between psychopathic personality traits and social cognition in a group of young people seeking treatment from a youth mental health service. Given the association between psychopathic traits and neuropsychological deficits , we included a number of neuropsychological tests as control variables to ensure that differences in social cognition performance across levels of psychopathic traits would not be confounded with differences in these skills. We also included demographic variables of gender and IQ which have known relationships with psychopathic traits , . Based on previous research, it was hypothesized that social cognitive performance would predict the concurrent presence of psychopathic traits over and above demographic and neuropsychological variables.
Materials and Methods
The current study was approved by the University of Sydney Human Research Ethics Committee. After a complete description of the study to the participants, including a standard Participant Information Statement, those aged 16 years and above gave written informed consent to participate, whereas for those under the age of 16 years both the participant and their legal guardian gave written informed consent in accordance with Human Research Ethics Committee guidelines and Australian law. Consent was undertaken using a standard Participant or Guardian Consent Form. All participants were informed during the consent process that their decision whether to participate would not affect their treatment or relationship with the clinician or researchers, and of their right to withdraw without penalty. All informed consent paperwork was approved by the University of Sydney Human Research Ethics Committee.
Recruitment occurred at headspace, a specialized tertiary community referral service for the assessment and early intervention of young people with mental health problems in the inner west of Sydney , . Participants included 91 young persons between 15 and 25 years of age presenting for mental healthcare, who were selected on the basis of willingness to participate in more detailed neuropsychological, neuroimaging and longitudinal follow-up studies. Exclusion criteria were medical instability (as determined by a psychiatrist), history of neurological disease (e.g., tumor, head injury, epilepsy), medical illness known to impact cognitive and brain function (e.g., sleep apnea), electroconvulsive therapy (ECT) in last 3 months, intellectual and/or developmental disability (a predicted IQ score <70), primary diagnosis of a psychotic illness, or insufficient English language skills. 54% of participants presented with a primary diagnosis of a depressive illness, 32% with a primary diagnosis of bipolar disorder I or II, 9% with an anxiety disorder (including obsessive compulsive, generalized anxiety, agoraphobia/panic, and social anxiety disorders), and 5% with a primary diagnosis outside these categories (including personality disorders, behavioral difficulties, and attention deficit hyperactivity disorder).
Participants were given all forms and self-report questionnaires to complete in the waiting room and then completed a structured clinical interview to confirm DSM-IV diagnosis , a social cognitive assessment, and a neuropsychological assessment on the same day. Questionnaires and neuropsychological assessment were part of a larger battery of tests within a program of longitudinal youth mental health research . As described elsewhere , , the clinical assessment was undertaken by clinical psychiatrists, clinical psychologists, mental health nurses, or medical practitioners with training in mental health.
Antisocial Process Screening Device (APSD).
The Antisocial Process Screening Device (APSD)  is a 20-item self-report measure of psychopathic traits in youth, adapted from the original parent/teacher-report APSD developed for preadolescent child samples. Research shows that from childhood to adolescence, the validity of self-report measures of psychopathology increases and that psychopathy remains stable from early adolescence into young adulthood . Each item is rated on a 3-point Likert-type scale as 0 (not at all true), 1 (sometimes true), or 2 (definitely true), with four items reverse scored. Confirmatory factor analysis has shown the self-report version of the APSD to consist of 3 subscales: Narcissism (items 5, 8, 10, 11, 14, 16), Impulsivity (items 1, 4, 9, 13, 17), and Callous-Unemotional (CU) traits (items 3, 7, 12, 18–20), with two items (items 2 and 6) not loading on any factor , . This 18 item three-factor structure was used in the analyses for the present study. By summing scores across the subscales (excluding items 2 and 6), a total score is generated. The construct validity of the APSD has been established in community- and clinic-based samples , , , as well as delinquent populations . High APSD scores have been shown to be associated with early onset offending , number of arrests and violent arrests , greater variety and frequency of violence , , lack of sensitivity to punishment in social situations , aggression and administrative infractions, as well as poor treatment outcome in adjudicated samples . Research with forensic populations has shown that total scores on the youth version of the Psychopathy Checklist or PCL-YV  correlate significantly and positively with total scores on the youth-report form of the APSD, however these correlations have been only modest in numerous samples , . The APSD shows strong test-retest reliability and internal consistency , , . In this sample, the internal consistency for the APSD total score was α = 0.82.
Depression Anxiety Stress Scale (DASS).
The Depression Anxiety Stress Scale-21  is a 21 item self-report measure that assesses depression, anxiety, and tension/stress over the past week. Each of the three subscales (Depression, Anxiety, and Stress) includes 7 Likert-type items rated on a 4-point scale between 0 (Did not apply to me at all) and 3 (Applied to me very much, or most of the time). Higher total scores indicate more frequent occurrence of the relevant symptoms. The DASS is a psychometrically sound instrument with good internal consistency in both clinical and nonclinical samples , . The factor structure of the DASS-21 is stable and it has good convergent and discriminant validity , , .
Alcohol Use Disorders Identification Test (AUDIT).
The Alcohol Use Disorders Identification Test ,  was created by the World Health Organization to identify hazardous or harmful drinking habits. The AUDIT consists of ten self-report items that assess three domains of alcohol consumption (items 1–3), dependence (items 4–6) and adverse consequences related to alcohol use (items 7–10). Items are rated from 0 to 4, in terms of frequency of occurrence, to yield a total score ranging between 0 and 40. Scores of 8 or more are taken as an indicator of ‘risky drinking’ with a moderate risk of harm, 16–19 a higher-risk or ‘harmful’ level of drinking, and scores of 20–40 indicate ‘high-risk’ drinking. It has strong internal consistency and test-retest reliability , , .
Measures: Social Cognitive and Neuropsychological Assessment
Reading the Mind in the Eyes Test (RMET).
The Reading the Mind in the Eyes Test  is a measure of social cognitive capacity that assesses the ability to attribute mental states to others by looking at photographs of eye regions of human faces. Participants were asked to observe 36 images, and decide which of four mental states best described what each person is feeling or thinking. Definitions of each word were provided to reduce potential confounding with vocabulary skills. A total score was produced by adding up the number of correct answers and converted to a percentage correct score. A higher score indicates a greater capacity to identify others’ mental states (i.e., Theory of Mind). The RMET has been used successfully in both nonclinical and clinical samples , , , . It is sensitive to individual differences in social cognitive abilities and is not subject to ceiling effects amongst healthy populations as is common with other measurements of social cognition .
Intellectual Function (IQ).
Predicted IQ was assessed using either the Wechsler Test of Adult Reading (WTAR)  for participants aged 16–25 years, or the Wide Range Achievement Test 4 (WRAT-4)  for participants below 16 years of age.
Trail making test.
The Trail Making Test (TMT) assesses psychomotor speed and set-shifting ability . Part A (TMT-A) assesses visual scanning, number recognition, numeric sequencing, and motor speed. Part B (TMT-B) also assesses set shifting by having the participant draw connecting lines alternating between consecutive numbers and letters (e.g., 1, A, 2, B, 3, C). The amount of time required to complete each task is considered the individual’s raw score. The TMT has been used for neurological assessment in a variety of populations , , , .
Rapid Visual Information Processing Task (RVP).
The Rapid Visual Information Processing task (RVP) from the Cambridge Neuropsychological Test Automated Battery (CANTAB)  was employed as a measure of sustained attention. Participants were presented with random digits on a computer monitor, at a rate of 100 digits per minute. A response bar was pressed as quickly as possible when the participant identified a string of three consecutive odd or even numbers. Eight target triplets occur every minute during the four-minute task. The RVP-A score relates to omission errors (misses), whereas the RVP-B relates to commission errors (false positives). This task has been shown to be a valid assessment of sustained attention in both healthy individuals and those with neuropsychiatric disorders .
Spatial Span Test (SSP).
The Spatial Span Test (SSP) from the CANTAB  was employed as a measure of working memory capacity. In this test the participant watched white squares change color and touched the boxes that changed color in the same order in which they were displayed. The outcome measure of interest was spatial span length (the longest forward sequence recalled successfully).
Statistical analyses were performed using SPSS for Windows 20.0. Missing values were replaced with the series mean. If homogeneity of variance was violated (according to Levene’s test) the corrected degrees of freedom and p-values were reported using Welch’s procedure. Neuropsychological variables were converted to ‘demographically corrected’ standardized scores (i.e. z-scores) using established norms. Prior to analyses, outliers beyond ±3.0 z-scores for each neuropsychological variable were curtailed to values of +3.0 or −3.0 (depending on the direction) so that individuals with extreme scores did not influence results of between-group tests. There were no outliers beyond −/+3.0 for RVP-A, SSP, and RVP-B. The number of cases beyond −3.0 for TMT A and TMT-B did not exceed 5%. As the distribution of the TMT-B variable was highly skewed, even after curtailing, it was excluded from analyses.
Psychopathic Traits, Social Cognition and Mental Health Variables
Participants were 62 females and 29 males aged between 15 and 25 with a mean of 19.98 (SD = 2.74) years. Demographic characteristics and predicted IQ for the sample are presented in Table 1. In order to explore relationships between demographic characteristics, Pearson correlations of both RMET and APSD scores were run with age, predicted IQ, and symptom severity measures and are presented in Table 2. Higher scores on the APSD were associated with lower predicted IQ and increased AUDIT total scores. In contrast, APSD scores were not significantly associated with any of the DASS subscales. RMET scores exhibited a significant positive correlation with predicted IQ. Age showed no significant association with either RMET or APSD score. Independent samples t-tests demonstrated that females and males did not differ significantly on APSD scores (t (89) = 1.6, p = .113) or on RMET scores (t (44) = −2.00, p = .052). For RMET scores, Levene’s test indicated unequal variances, F (1, 89) = 5.06, p = .027, so degrees of freedom were adjusted from 89 to 44. These results are presented in Table 3.
The APSD was also split into quartile scores and demographic and symptom severity scores were evaluated within each quartile (See Tables 1 and 4). Univariate ANOVAs confirmed that there were no significant differences across quartile groups in predicted IQ, F (3, 87) = 1.24, p = .300, or age, F (3, 87) = 0.58, p = .632. Similarly, chi-square analysis revealed no significant differences in the distribution of gender across quartile groups of APSD scores, χ2 (3, 91) = 2.80, p = .424. Differences in symptom severity scores across quartiles of APSD total score were then analyzed using univariate ANOVAs (see Table 4). Consistent with the correlations presented above, there were no significant differences in DASS subscale scores across quartiles of APSD score. However, there were significant differences in AUDIT total scores across quartile groups, F (3, 87) = 4.25, p = .008. Polynomial contrast analysis revealed a significant linear trend for AUDIT scores across APSD quartiles, F (1, 87) = 11.63, p = .001, whilst quadratic and cubic trends were not significant. As can be seen through examination of mean AUDIT scores across quartiles, AUDIT scores increased across increasing quartiles of APSD score.
Psychopathic Traits, Social Cognition and Neuropsychological Performance
Pearson’s correlations between the neuropsychological test variables, social cognition, and APSD scores are presented in Table 2. Only the RVP-A and SSP were significantly associated (both in a negative direction) with psychopathic traits as measured using the APSD (all other p values >0.05). All neuropsychological test scores were significantly associated with social cognition performance on the RMET.
Results showed a significant negative association between APSD and RMET scores, r (91) = −0.36, p = 0.001, such that higher levels of psychopathic traits were associated with poorer performance on the RMET social cognition test. Univariate ANOVA was used to perform a preliminary investigation into the relationship between RMET performance and psychopathic traits as represented in quartiles of APSD total score. This revealed significant differences in RMET performance across APSD quartiles, F (3, 87) = 2.78, p = .046, and a significant linear trend across quartiles, F (1, 87) = 7.11, p = .009. As can be seen in Figure 1, this reflected a decrease in the mean percentage of correct items on the social cognition test across increasing quartiles of APSD score.
Note. Data presented are mean ± standard errors of the mean (SEM).
Based on the above set of relationships, a forced-entry hierarchical linear regression was run to assess the capacity of performance on the social cognition test (percentage correct on the RMET) to predict psychopathic traits (APSD total score), when controlling for gender, predicted IQ, and performance on the SSP and RVP-A. RVP-A and SSP were included as they were the only neuropsychological test variables to exhibit a significant correlation with APSD score. As mentioned above, TMT-B was excluded at the outset of data analysis because of its skewed distribution. Age was not included as a control variable because it did not show a significant correlation with either APSD or RMET score. Gender and predicted IQ were entered in the first step of the regression and together accounted for a significant 7.9% of variance in APSD score, F (2, 88) = 3.77, p = .027. The addition of RVP-A and SSP score in the second step resulted in a significant increase in the proportion of variance in APSD score explained by the model, ΔF (2, 87) = 4.73, p = .011, ΔR2 = 0.091. The addition of RMET score in the final step resulted in a significant increase in the proportion of variance in APSD score explained by the model, ΔF (1, 85) = 4.38, p = .039, ΔR2 = 0.041. That is, RMET scores explained an additional 4.1% of variance in psychopathic traits above that which was accounted for by control variables alone. The overall model predicting APSD score from gender, predicted IQ, RVP-A score, SSP score, and RMET score was significant, F (5, 85) = 4.55, p = .001. Altogether 21.1% of variance in APSD scores was accounted for, and model characteristics are presented in Table 5. When the regression was run with the other neuropsychological test scores that did not exhibit significant correlations with APSD score (TMT-A and RVP-B) in the second step, RMET performance still accounted for a significant proportion of variance in APSD score beyond the control variables (ΔF (1, 83) = 4.63, p = .034).
Given that APSD total scores index psychopathic traits in terms of CU traits in combination with general conduct problems, post-hoc analyses were then conducted to examine the respective subscales of the APSD that map onto Hare’s  two-factor model of psychopathy (CU traits; impulsive conduct problems). This allowed us to determine whether the significant effect seen for APSD total scores was primarily accounted for by either CU traits or general conduct problems. Significant inverse correlations were found between RMET scores, and both CU traits (r = −.28, p = <.01) and impulsive conduct problems (r = −.32, p<.01). The comparable size of these correlations suggest that levels of CU traits as well as general conduct problems both contributed significantly to the effect seen for APSD total scores in the substantive analysis. As such, it does not appear that the poorer Theory of Mind abilities of participants with higher APSD total scores were simply an artefact of increased conduct problem severity among those individuals.
The current study assessed the relationship between psychopathic traits and social cognition performance in a sample of young adults seeking mental health treatment. This study firstly shows that psychopathic traits were associated with an increase in risky drinking as assessed by the AUDIT. Second, the results show a potentially important relationship between psychopathic traits and social cognition performance in a youth community mental health sample, such that participants who scored more highly on the APSD showed poorer social cognitive performance. When placed into a predictive model, social cognition performance accounted for a unique proportion of variance in psychopathic traits, even when controlling for working memory and sustained attention performance, IQ and gender.
Previous studies have shown that children high in psychopathic traits show deficits in various aspects of social cognition , , , , , , , , . The present findings extend this relationship to a sample of mental health treatment-seeking young people in an older age bracket of 15 to 25. We note that while the majority of previous studies have highlighted deficits in fear recognition or social problem solving, this study suggests specific deficits in Theory of Mind, as assessed by the RMET. In this sense, it corroborates Stellwagen and Kerig’s  findings with a verbal Theory of Mind test in children. As our design was cross-sectional, we cannot draw conclusions about the causal nature of the relationship between social cognition and psychopathic traits as operationalized in the APSD. This is complicated further by the fact that there are theoretical grounds to believe that this relationship is of a complex and bidirectional nature. Just as social cognitive deficits may interfere with socialization and so contribute to the development of antisocial behaviours and psychopathic traits; so those with psychopathic tendencies are less likely to develop social cognitive skills or be motivated to employ those skills to decipher the internal states of others . Further studies employing longitudinal designs are needed to explore this relationship.
As noted by Shamay-Tsoory et al. , the question of whether psychopathic traits are associated with deficits in Theory of Mind abilities has been the subject of some controversy. In contrast to the association between psychopathic traits and performance on the RMET found in the current study, at least two previous studies have failed to identify such an association , . Numerous factors may potentially account for differences in the findings of these studies. First, whilst the sample in the current study was recruited from referrals to an outpatient psychiatric clinic, the studies by Dolan and Fullam  and Richell et al.  were both conducted with incarcerated offenders. Second, while the age range of our sample was largely adolescent, the samples examined in these two previous studies extended significantly into adulthood. Third, research across a range of domains related to psychopathy has shown that different measures of psychopathic traits demonstrate somewhat distinct associations with correlates of psychopathy . As these previous adult studies both used the PCL-R, it is important that future research examines this association in both clinical and forensic samples of youth, using a range of established psychopathy measures. Interestingly, while Dolan and Fullam  did not find an association between psychopathic traits and RMET scores, the study did find that both psychopathic and non-psychopathic offenders performed worse on subtle tests of mentalizing ability (i.e., faux pas tasks) than healthy controls.
The current results highlight the potential to modify treatment programs for those who display psychopathic traits in youth clinical mental health services. The current research suggests that treatment regimens aimed at increasing social functioning in young persons with psychopathic traits could also focus on improving social cognitive abilities such as emotion recognition, social problem solving, and eye contact , . Previous studies have shown that in order to maximize treatment gains, children high in psychopathic traits and antisocial behaviours require specialized or enriched treatment that involves implementing a token economy , raising the intensity of treatment , and focusing on rewarding experiences within the context of a positive parent-child relationship . Future research in this domain should utilize longitudinal treatment outcome designs in order to assess the capacity of social cognitive, positive and reward-based treatment regimens to improve social functioning in young adults with psychopathic traits.
This study adds to existing literature by providing support for the utility and construct validity of the APSD as a screening device for psychopathic traits in youth mental health samples in addition to samples of incarcerated youth or juvenile offenders. Not only did correlational analyses show that youth in this sample who exhibited more psychopathic tendencies reported more alcohol-related problems, but in comparison with the first two quartiles of APSD score, those in the 3rd and 4th quartiles obtained AUDIT scores above the accepted cutoff for risky drinking. This finding is consistent with the literature surrounding associations between substance misuse and psychopathic traits  and with high rates of substance misuse reported in youth mental health treatment-seeking populations more broadly . This further underscores the need to consider substance misuse in treatment approaches amongst this population.
Aside from its cross-sectional nature, a number of limitations of the study must be acknowledged. Only one facet of social cognition, Theory of Mind, was assessed in this study because of time constraints. Although the RMET is a psychometrically sound measure of emotion recognition, it does not tap into other areas of social cognition, such as gaze perception, prosody, and sarcasm identification. Similarly, the neuropsychological assessment included assessments of IQ, attention, and working memory. However, other aspects of neuropsychological performance which may have important relationships with social cognition and psychopathic traits (such as abstract reasoning, judgment, impulsivity, comprehension, and insight) were not included. Further, the APSD is a measure of psychopathic traits rather than specific antisocial behaviours. Although the APSD has been shown to correlate well with these outcomes, future studies should include measures such as externalizing behaviour and criminality to examine their relationships with social cognition alongside psychopathic traits as measured by the APSD. Finally, power for the correlational and regression analyses was likely limited by the relatively small sample size.
In summary, this study extended the relationship between psychopathic traits and social cognition deficits that has been found in children , , , , ,  to an older sample of young people presenting for mental healthcare aged 15 to 25 years. It also highlighted alcohol misuse amongst individuals presenting with higher levels of psychopathic traits. Just as children high in psychopathic traits require specialized treatment , , , these results suggest that young persons with psychopathic traits in general mental health settings may present with unique social cognitive deficits that are relevant to treatment practice and the development of interventions.
Conceived and designed the experiments: AJG AVZ JM DJH. Performed the experiments: DFH RSCL IBH EMS. Analyzed the data: AVZ NG AJG JM. Contributed reagents/materials/analysis tools: SLN DFH RSCL DJH. Wrote the paper: AVZ JM AJG. Read first draft of manuscript and edited, approved final manuscript: AVZ JM DFH IBH DJH NG SLN EMS RSCL AJG.
- 1. Frick PJ, Marsee MA, Patrick C (2006) Psychopathy and developmental pathways to antisocial behavior in youth. Handbook of Psychopathy. 353–374.
- 2. Krueger RF, Hicks BM, Patrick CJ, Carlson SR, Iacono WG, et al. (2002) Etiologic connections among substance dependence, antisocial behavior and personality: Modeling the externalizing spectrum. Journal of Abnormal Psychology 111: 411–424.
- 3. Hussong AM, Curran PJ, Moffitt TE, Caspi A, Carrig MM (2004) Substance abuse hinders desistance in young adults’ antisocial behavior. Development and Psychopathology 16: 1029–1046.
- 4. Merikangas KR, Mehta RL, Molnar BE, Walters EE, Swendsen JD, et al. (1998) Comorbidity of substance use disorders with mood and anxiety disorders: Results of the International Consortium in Psychiatric Epidemiology. Addictive Behaviors 23: 893–907.
- 5. Salekin RT, Leistico A-MR, Neumann CS, DiCicco TM, Duros RL (2004) Psychopathy and comorbidity in a young offender sample: Taking a closer look at psychopathy’s potential importance over disruptive behavior disorders. Journal of Abnormal Psychology 113: 416–427.
- 6. Cunningham-Williams RM, Cottler LB, Compton WM, Spitznagel EL (1998) Taking chances: Problem gamblers and mental health disorders-results from the St. Louis Epidemiologic Catchment Area Study. American Journal of Public Health 88: 1093–1096.
- 7. Ullrich S, Coid J (2009) Antisocial personality disorder: Co-morbid Axis I mental disorders and health service use among a national household population. Personality and Mental Health 3: 151–164.
- 8. Goodwin RD, Hamilton SP (2003) Lifetime comorbidity of antisocial personality disorder and anxiety disorders among adults in the community. Psychiatry Research 117: 159–166.
- 9. Sareen J, Stein MB, Cox BJ, Hassard ST (2004) Understanding comorbidity of anxiety disorders with antisocial behavior: Findings from two large community surveys. The Journal of Nervous and Mental Disease 192: 178–186.
- 10. Corruble E, Ginestet D, Guelfi JD (1996) Comorbidity of personality disorders and unipolar major depression: A review. Journal of Affective Disorders 37: 157–170.
- 11. De Brito S, Hodgins S (2009) Antisocial personality disorder. In: McMurran M, Howard R, editors. Personality, Personality Disorder and Risk of Violence: An Evidence-Based Approach. West Sussex, UK: John Wiley and Sons.
- 12. Moffitt TE (1993) Adolescence-limited and life-course-persistent antisocial behavior: A developmental taxonomy. Psychological Review 100: 674–701.
- 13. Moffitt TE (2003) Life-course-persistent and adolescence-limited antisocial behavior: A10-year research review and a research agenda. In: Lahey BB, Moffitt TE, Caspi A, editors. Causes of Conduct Disorder and Juvenile Delinquency. New York: Guildford Press.
- 14. Blair RJR (2001) Neurocognitive models of aggression, the antisocial personality disorders, and psychopathy. Journal of Neurology, Neurosurgery and Psychiatry 71: 727–731.
- 15. Blair RJR, Budhani S, Colledge E, Scott S (2004) Deafness to fear in boys with psychopathic tendencies. Journal of Child Psychology and Psychiatry 46: 327–336.
- 16. Bennett S, Farrington DP, Huesmann LR (2005) Explaining gender differences in crime and violence: The importance of social cognitive skills. Aggression and Violent Behavior 10: 263–288.
- 17. Kee KS, Horan WP, Wynn JK, Mintz J, Green MF (2006) An analysis of categorical perception of facial emotion in schizophrenia. Schizophrenia Research 87: 228–237.
- 18. Premkumar P, Cooke MA, Fannon D, Peters E, Michel TM, et al. (2008) Misattribution bias of threat-related facial expressions is related to a longer duration of illness and poor executive function in schizophrenia and schizoaffective disorder. European Psychiatry 23: 14–19.
- 19. Kettle JWL, O’Brien-Simpson L, Allen NB (2008) Impaired theory of mind in first-episode schizophrenia: comparison with community, university and depressed controls. Schizophrenia Research 99: 96–102.
- 20. Adolphs R (2001) The neurobiology of social cognition. Current Opinion in Neurobiology 11: 231–239.
- 21. Crick NR, Dodge KA (1994) A review and reformulation of social information-processing mechanisms in children’s social adjustment. Psychological Bulletin 115: 74.
- 22. Lorber CM, Hughes TL, Miller JA, Crothers LM, Martin E (2011) Callous and unemotional traits and social cognitive processes in a sample of community-based aggressive youth. International Journal of Offender Therapy and Comparative Criminology 55: 1291–1307.
- 23. Pardini DA, Lochman JE, Frick PJ (2003) Callous/unemotional traits and social-cognitive processes in adjudicated youths. Journal of the American Academy of Child and Adolescent Psychiatry 42: 364–371.
- 24. Frick PJ, Hare RD (2001) The Antisocial Process Screening Device. Toronto: Multi-Health Systems.
- 25. Kimonis ER, Frick PJ, Fazekas H, Loney BR (2006) Psychopathy, aggression, and the processing of emotional stimuli in non-referred girls and boys. Behavioral Sciences and the Law 24: 21–37.
- 26. Marsh A, Finger E, Mitchell D, Reid M, Sims C, et al. (2008) Reduced amygdala response to fearful expressions in children and adolescents with callous-unemotional traits and disruptive behavior disorders. American Journal of Psychiatry 165: 712–720.
- 27. Stellwagen KK, Kerig PK (2013) Dark triad personality traits and theory of mind among school-age children. Personality and Individual Differences 54: 123–127.
- 28. Loney BR, Frick PJ, Clements CB, Ellis ML, Kerlin K (2003) Callous-unemotional traits, impulsivity, and emotional processing in adolescents with antisocial behavior problems. Journal of Clinical Child and Adolescent Psychology 32: 66–80.
- 29. Dadds MR, Perry Y, Hawes DJ, Merz S, Riddell AC, et al. (2006) Attention to the eyes and fear-recognition deficits in child psychopathy. The British Journal of Psychiatry 189: 280–281.
- 30. Dadds MR, Masry Y, Wimalaweera S, Guastella A (2008) Reduced eye gaze explains fear blindness in childhood psychopathic traits. Journal of the American Academy of Child and Adolescent Psychiatry 47: 455–463.
- 31. Sylvers PD, Brennan PA, Lilienfeld SO (2011) Psychopathic traits and preattentive threat processing in children. Psychological Science 22: 1280–1287.
- 32. Woodworth M, Waschbusch D (2008) Emotional processing in children with conduct problems and callous/unemotional traits. Child: Care, Health and Development 34: 234–244.
- 33. Waschbusch D, Walsh T, Andrade B, King S, Carrey N (2007) Social problem solving, conduct problems, and callous-unemotional traits in children. Child Psychiatry and Human Development 37: 293–305.
- 34. Scott EM, Naismith S, Whitwell B, Hamilton B, Chudleigh C, et al. (2009) Delivering youth-specific mental health services: The advantages of a collaborative, multi-disciplinary system. Australasian Psychiatry 17: 189–194.
- 35. Scott EM, Hermens DF, Glozier N, Naismith SL, Guastella AJ, et al. (2012) Targeted primary care-based mental health services for young Australians. The Medical Journal of Australia 196: 136–140.
- 36. Dolan M, Fullam R (2004) Theory of mind and mentalizing ability in antisocial personality disorders with and without psychopathy. Psychological Medicine 34: 1093–1102.
- 37. Brook M, Kosson DS (2013) Impaired cognitive empathy in criminal psychopathy: Evidence from a laboratory measure of empathic accuracy. Journal of Abnormal Psychology 122: 156–166.
- 38. Blair RJR, Sellars C, Strickland I, Clark F, Williams A, et al. (1996) Theory of Mind in the psychopath. The Journal of Forensic Psychiatry 7: 15–25.
- 39. Richell RA, Mitchell DGV, Newman C, Leonard A, Baron-Cohen S, et al. (2003) Theory of mind and psychopathy: Can psychopathic individuals read the ‘language of the eyes’? Neuropsychologia 41: 523–526.
- 40. Beaver KM, Vaughn MG, DeLisi M, Barnes JC, Boutwell BB (2012) The neuropsychological underpinnings to psychopathic personality traits in a nationally representative and longitudinal sample. Psychiatric Quarterly 83: 145–159.
- 41. Cale EM, Lilienfeld SO (2002) Sex differences in psychopathy and antisocial personality disorder: A review and integration. Clinical Psychology Review 22: 1179–1207.
- 42. Vitacco MJ, Neumann CS, Jackson RL (2005) Testing a four-factor model of psychopathy and its association with ethnicity, gender, intelligence, and violence. Journal of Consulting and Clinical Psychology 73: 466.
- 43. APA (2000) Diagnostic and Statistical Manual of Mental Disorders. Fourth Edition, Text Revision. Washington DC: American Psychiatric Association.
- 44. Scott EM, Hermens DF, Naismith SL, Guastella AJ, De Regt T, et al. (2013) Distinguishing young people with emerging bipolar disorders from those with unipolar depression. Journal of Affective Disorders 144: 208–215.
- 45. Hamilton BA, Naismith SL, Scott EM, Purcell S, Hickie IB (2011) Disability is already pronounced in young people with early stages of affective disorders: Data from an early intervention service. Journal of Affective Disorders 131: 84–91.
- 46. Lynam DR, Caspi A, Moffitt TE, Loeber R, Stouthamer-Loeber M (2007) Longitudinal evidence that psychopathy scores in early adolescence predict adult psychopathy. Journal of Abnormal Psychology 116: 155–165.
- 47. Vitacco MJ, Rogers R, Neumann CS (2003) The Antisocial Process Screening Device: An examination of its construct and criterion-related validity. Assessment 10: 143–150.
- 48. Frick PJ, Bodin SD, Barry CT (2000) Psychopathic traits and conduct problems in community and clinic-referred samples of children: Further development of the psychopathy screening device. Psychological Assessment 12: 382.
- 49. Fite PJ, Greening L, Stoppelbein L, Fabiano GA (2009) Confirmatory factor analysis of the Antisocial Process Screening Device with a clinical inpatient population. Assessment 16: 103–114.
- 50. Munoz LC, Frick PJ (2007) The reliability, stability, and predictive utility of the self-report version of the Antisocial Process Screening Device. Scandinavian Journal of Psychology 48: 299–312.
- 51. Murrie DC, Cornell DG (2002) Psychopathy screening of incarcerated juveniles: A comparison of measures. Psychological Assessment 14: 390–396.
- 52. Silverthorn P, Frick PJ, Reynolds R (2001) Timing of onset and correlates of severe conduct problems in adjudicated girls and boys. Journal of Psychopathology and Behavioral Assessment 23: 171–181.
- 53. Caputo AA, Frick PJ, Brodsky SL (1999) Family violence and juvenile sex offending: The potential mediating role of psychopathic traits and negative attitudes toward women. Criminal Justice and Behavior 26: 338–356.
- 54. Kruh IP, Frick PJ, Clements CB (2005) Historical and personality correlates to the violence patterns of juveniles tried as adults. Criminal Justice and Behavior 32: 69–96.
- 55. Spain SE, Douglas KS, Poythress NG, Epstein M (2004) The relationship between psychopathic features, violence and treatment outcome: The comparison of three youth measures of psychopathic features. Behavioral Sciences and the Law 22: 85–102.
- 56. Forth AE, Kosson D, Hare RD (2003) The Hare PCL: Youth version. Toronto, Ontario, Canada: Multi-Health Systems.
- 57. Falkenbach DM, Poythress NG, Heide KM (2003) Psychopathic features in a juvenile diversion population: Reliability and predictive validity of two self-report measures. Behavioral Sciences and the Law 21: 787–805.
- 58. Poythress NG, Douglas KS, Falkenbach D, Cruise K, Lee Z, et al. (2006) Internal consistency reliability of the self-report Antisocial Process Screening Device. Assessment 13: 107–113.
- 59. Lovibond PF, Lovibond SH (1995) The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories. Behaviour Research and Therapy 33: 335–343.
- 60. Henry JD, Crawford JR (2005) The short-form version of the Depression Anxiety Stress Scales (DASS-21): Construct validity and normative data in a large non-clinical sample. British Journal of Clinical Psychology 44: 227–239.
- 61. Antony MM, Bieling PJ, Cox BJ, Enns MW, Swinson RP (1998) Psychometric properties of the 42-item and 21-item versions of the Depression Anxiety Stress Scales in clinical groups and a community sample. Psychological Assessment 10: 176–181.
- 62. Daza P, Novy D, Stanley M, Averill P (2002) The Depression Anxiety Stress Scale-21: Spanish translation and validation with a Hispanic sample. Journal of Psychopathology and Behavioral Assessment 24: 195–205.
- 63. Norton PJ (2007) Depression Anxiety and Stress Scales (DASS-21): Psychometric analysis across four racial groups. Anxiety, Stress & Coping 20: 253–265.
- 64. Saunders JB, Aasland OG, Babor TF, De La FuenteJR, Grant M (1993) Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction 88: 791–804.
- 65. Babor TF, Higgins-Biddle JC, Saunders JB, Monteiro MG (2001) The Alcohol Use Disorders Identification Test guidelines for use in primary care (2nd Edition).
- 66. Bergman H, Kallmen H (2002) Alcohol use among Swedes and a psychometric evaluation of the Alcohol Use Disorders Identification Test. Alcohol and Alcoholism 37: 245–251.
- 67. Dybek I, Bischof G, Grothues J, Reinhardt S, Meyer C, et al.. (2006) The reliability and validity of the Alcohol Use Disorders Identification Test (AUDIT) in a German general practice population sample. Journal of Studies on Alcohol. 473–481.
- 68. Rubin A, Migneault JP, Marks L, Goldstein E, Ludena K, et al. (2006) Automated telephone screening for problem drinking. Journal of Studies on Alcohol 67: 454–457.
- 69. Baron-Cohen S, Wheelwright S, Hill J, Raste Y, Plumb I (2001) The “Reading the Mind in the Eyes” Test revised version: a study with normal adults, and adults with Asperger syndrome or high-functioning autism. Journal of Child Psychology and Psychiatry 42: 241–251.
- 70. Fertuck EA, Jekal A, Song I, Wyman B, Morris MC, et al. (2009) Enhanced ‘Reading the Mind in the Eyes’ in borderline personality disorder compared to healthy controls. Psychological Medicine 39: 1979–1988.
- 71. Rutherford M, Baron-Cohen S, Wheelwright S (2002) Reading the mind in the voice: A study with normal adults and adults with Asperger syndrome and high functioning autism. Journal of Autism and Developmental Disorders 32: 189–194.
- 72. Craig JS, Hatton C, Craig FB, Bentall RP (2004) Persecutory beliefs, attributions and theory of mind: Comparison of patients with paranoid delusions, Asperger’s syndrome and healthy controls. Schizophrenia Research 69: 29–33.
- 73. Wechsler D (2001) Wechsler Test of Adult Reading (WTAR). San Antonio, TX: Psychological Corporation.
- 74. Wilkinson G, Robertson G (2006) Wide Range Achievement Test 4 professional manual. Lutz, FL. Psychological Assessment Resources.
- 75. AITB (1944) Army Individual Test Battery, Manual of Directions and Scoring. Washington, DC: War Department, Adjutant General’s Office.
- 76. Dikmen S, Machamer J, Temkin N, McLean A (1990) Neuropsychological recovery in patients with moderate to severe head injury: 2 year follow-up. Journal of Clinical and Experimental Neuropsychology 12: 507–519.
- 77. Stuss DT, Bisschop SM, Alexander MP, Levine B, Katz D, et al. (2001) The trail making test: A study in focal lesion patients. Psychological Assessment 13: 230–239.
- 78. Reiten RM (1955) The relation of trail making test to organic brain damage. Journal of Consulting Psychology 19: 393–394.
- 79. Buchanan RW, Strauss ME, Kirkpatrick B, Holstein C, et al. (1994) Neuropsychological impairments in deficit vs nondeficit forms of schizophrenia. Archives of General Psychiatry 51: 804–811.
- 80. Sahakian BJ, Owen AM (1992) Computerized assessment in neuropsychiatry using CANTAB: Discussion paper. Journal of the Royal Society of Medicine 85: 399–402.
- 81. Hare RD (1991) The Hare Psychopathy Checklist-Revised (PCL-R). Toronto, Ontario: Multi-Health Systems.
- 82. Shamay-Tsoory SG, Harari H, Aharon-Peretz J, Levkovitz Y (2010) The role of the orbitofrontal cortex in affective theory of mind deficits in criminal offenders with psychopathic tendencies. Cortex 46: 668–677.
- 83. Cauffman E, Kimonis ER, Dmitrieva J, Monahan KC (2009) A multimethod assessment of juvenile psychopathy: comparing the predictive utility of the PCL: YV, YPI, and NEO PRI. Psychological Assessment 21: 528.
- 84. Losel F, Bender D (2012) Child social skills training in the prevention of antisocial development and crime. In: Welsh B, Farrington DP, editors. The Oxford Handbook of Crime Prevention. Oxford: Oxford University Press.
- 85. Kimonis ER, Armstrong K (2012) Adapting parent–child interaction therapy to treat severe conduct problems with callous-unemotional traits: A case study. Clinical Case Studies 11: 234–252.
- 86. Haas S, Waschbusch D, Pelham W, King S, Andrade B, et al. (2011) Treatment Response in CP/ADHD Children with Callous/Unemotional Traits. Journal of Abnormal Child Psychology 39: 541–552.
- 87. Hawes DJ, Dadds MR (2005) The treatment of conduct problems in children with callous-unemotional traits. Journal of Consulting and Clinical Psychology 73: 737.
- 88. Poythress NG, Dembo R, Wareham J, Greenbaum PE (2006) Construct validity of the Youth Psychopathic Traits Inventory (YPI) and the Antisocial Process Screening Device (APSD) with justice-involved adolescents. Criminal Justice and Behavior 33: 26–55.
- 89. Hermens DF, Scott EM, White D, Lynch M, Lagopoulos J, et al.. (2013) Frequent alcohol, nicotine or cannabis use is common in young persons presenting for mental health care: A cross-sectional study. BMJ Open 3.
- 90. Blair RJR, Coles M (2000) Expression recognition and behavioural problems in early adolescence. Cognitive Development 15: 421–434.
- 91. Munoz LC (2009) Callous-unemotional traits are related to combined deficits in recognizing afraid faces and body poses. Journal of the American Academy of Child and Adolescent Psychiatry 48: 554–562.