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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Psychiatry</journal-id>
<journal-title>Frontiers in Psychiatry</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Psychiatry</abbrev-journal-title>
<issn pub-type="epub">1664-0640</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpsyt.2024.1397009</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Psychiatry</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Clinical characteristics of adults with alcohol dependence syndrome comorbid with antisocial personality disorder: a cross-sectional study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Jarcuskova</surname>
<given-names>Dominika</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2664970"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
<role content-type="https://credit.niso.org/contributor-roles/funding-acquisition/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
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</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pallayova</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1172303"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Carnakovic</surname>
<given-names>Simona</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Frajka</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Fidmik</surname>
<given-names>Jan</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bednarova</surname>
<given-names>Aneta</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>1<sup>st</sup> Department of Psychiatry, University Hospital of Louis Pasteur and Pavol Jozef Safarik University Faculty of Medicine</institution>, <addr-line>Kosice</addr-line>, <country>Slovakia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Human Physiology, Pavol Jozef Safarik University Faculty of Medicine</institution>, <addr-line>Kosice</addr-line>, <country>Slovakia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>2<sup>nd</sup> Department of Psychiatry, University Hospital of Louis Pasteur and Pavol Jozef Safarik University Faculty of Medicine</institution>, <addr-line>Kosice</addr-line>, <country>Slovakia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Massimiliano Beghi, Azienda Unit&#xe0; Sanitaria Locale (AUSL) della Romagna, Italy</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Jana Trebaticka, Comenius University, Slovakia</p>
<p>Natalie Ceballos, Texas State University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Maria Pallayova, <email xlink:href="mailto:maria.pallayova@upjs.sk">maria.pallayova@upjs.sk</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>09</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1397009</elocation-id>
<history>
<date date-type="received">
<day>06</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>21</day>
<month>08</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Jarcuskova, Pallayova, Carnakovic, Frajka, Fidmik and Bednarova</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Jarcuskova, Pallayova, Carnakovic, Frajka, Fidmik and Bednarova</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Antisocial Personality Disorder (ASPD) is characterized by a pervasive pattern of disregard for and violation of the rights of others, typically emerging by age 15 years and involving behaviors such as deceitfulness, impulsivity, and aggressiveness. The present study sought to examine the prevalence of the comorbid ASPD in adult people with Alcohol Dependence Syndrome (ADS) and identify clinical characteristics associated with ASPD.</p>
</sec>
<sec>
<title>Methods</title>
<p>A cross-sectional study of 100 consecutive subjects diagnosed with ADS was conducted. Subjects were examined between August 2023 and September 2023. Various assessments and questionnaires were employed, including the Montreal Cognitive Assessment (MoCA), Alcohol Use Disorders Identification Test (AUDIT), and Structured Clinical Interview for DSM-IV (SCID-II). A computed tomography (CT) scan of the brain was performed on 47.5% participants.</p>
</sec>
<sec>
<title>Results</title>
<p>Out of the 100 individuals screened for the study, 20 were excluded. The study found that 35% of the examined study participants had a comorbid ASPD. Individuals with both ADS and ASPD were more likely to be younger, started drinking at an earlier age, had higher hospitalization rates, and scored higher on the AUDIT test (all <italic>P</italic> &lt; 0.05%). Also, they had lower education levels, higher rates of unemployment, and lower marriage rates (all <italic>P</italic> &lt; 0.05%). In addition, they reported more family members with ADS, incarceration, or mental illness and a higher frequency of traumatic experiences (all <italic>P</italic> &lt; 0.05%). Depression, anxiety, stress (all <italic>P</italic> &lt; 0.05%), and sleep problems (<italic>P</italic> = 0.058) were correlated with ASPD. Participants with the comorbid ASPD had lower MoCA scores (<italic>P</italic> = 0.046) and struggled with attention and linguistic subtests compared to subjects with ADS only.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>The study highlights the high prevalence of comorbid ASPD in participants with ADS, shedding light on their demographic and psychometric characteristics. Individuals with the comorbid ASPD are more likely to face cognitive deficits, especially in linguistic and attention-related tasks. The findings underline the importance of considering the comorbidity of ASPD in ADS subjects. The study implies that the understanding of the associated risk factors can aid in developing more targeted treatment interventions.</p>
</sec>
</abstract>
<kwd-group>
<kwd>depression</kwd>
<kwd>anxiety</kwd>
<kwd>cognition</kwd>
<kwd>antisocial</kwd>
<kwd>alcoholism</kwd>
<kwd>trauma</kwd>
<kwd>sleep</kwd>
</kwd-group>
<counts>
<fig-count count="3"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="53"/>
<page-count count="11"/>
<word-count count="6362"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Personality Disorders</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Antisocial Personality Disorder (ASPD) is a pervasive pattern of disregard for and violation of the rights of others, with the average age of onset being 15 years; the diagnosis is based on three or more of the following indicators: failure to conform to social norms concerning lawful behaviors, deceitfulness, impulsivity, irritability, and aggressiveness, reckless disregard for the safety of self or others, consistent irresponsibility, and lack of remorse (<xref ref-type="bibr" rid="B1">1</xref>). To meet the diagnosis criteria, an individual must be at least 18 years old and have evidence of a Conduct Disorder (CD) with onset before the age of 15 years (<xref ref-type="bibr" rid="B2">2</xref>). The requirement of this childhood criterion serves to portray ASPD as a persistent personality disorder with roots early in development (<xref ref-type="bibr" rid="B3">3</xref>). Individuals with ASPD are more prone to be violent; they tend to violate the rights of others, be manipulative, commit crimes, and the disease produces extraordinary societal costs and aggregate social burden (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>). The maladaptive behaviors may include suicidal behavior, self-harm, aggression, criminal behavior, and substance misuse (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B4">4</xref>).</p>
<p>Goldstein et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>) also found that individuals with ASPD are more likely to have comorbid substance misuse and other psychiatric disorders. The ASPD is associated with greater odds of any substance use disorder (SUD), specifically alcohol, nicotine, and any drug use disorder (<xref ref-type="bibr" rid="B6">6</xref>). Similarly, data from cohorts of prisoners has shown that alcohol dependence syndrome (ADS) shows high comorbidity with ASPD, suggesting that there may be common biological risk mechanisms (<xref ref-type="bibr" rid="B7">7</xref>). Furthermore, individuals with ASPD, SUD, and their co-occurrence (ASPD/SUD) have similar personality traits (<xref ref-type="bibr" rid="B8">8</xref>). Low agreeableness, low conscientiousness, high impulsivity, high excitement-seeking, low deliberation, and low self-discipline were characteristic of these disorders (<xref ref-type="bibr" rid="B8">8</xref>). The ASPD exhibited lower neuroticism than SUD and ASPD/SUD, which is consistent with the high levels of mood and anxiety disturbance often reported in individuals with SUD (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>Alcohol dependence syndrome is characterized by alcohol use that causes serious impairment. It is characterized by preoccupation with alcohol, impaired control over drinking, usage of alcohol despite adverse consequences, and distortions in thinking. Alcoholism is characterized by craving, loss of control, withdrawal symptoms, and tolerance (<xref ref-type="bibr" rid="B9">9</xref>). Alcohol use disorder (AUD) is defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) as &#x201c;a problematic pattern of alcohol use leading to clinically significant impairment or distress.&#x201d; An alcohol dependence syndrome aligns symptomatically with the current diagnoses of moderate or severe AUD as per DSM-5. To diagnose a patient with AUD, the patient needs to meet at least two criteria: alcohol usage in larger amounts or for longer periods than intended, unsuccessful efforts to cut down or control alcohol use, spending a long time in obtaining alcohol, using alcohol, or recovering from its effects, failure to fulfil major role obligations due to alcohol, reduction in activities due to alcohol, continued alcohol use despite having persistent or recurrent problems due to alcohol, recurrent alcohol use in situations in which it is physically hazardous, craving, tolerance, and withdrawal. Alcohol Dependence Syndrome is a chronic, relapsing brain disease that presents a significant public health issue (<xref ref-type="bibr" rid="B1">1</xref>). There are links between developmental changes in personality and alcohol use (<xref ref-type="bibr" rid="B10">10</xref>). Across adolescence and early adulthood, individuals with steeper declines in impulsivity and neuroticism demonstrated steeper declines in problematic alcohol use (<xref ref-type="bibr" rid="B10">10</xref>). Individuals with a less substantial decline (or even an increase) in impulsivity and neuroticism had either increases or smaller decreases in problematic alcohol use (<xref ref-type="bibr" rid="B10">10</xref>). Similarly, increases in risk-taking behavior across development are associated with increased alcohol use among adolescents (<xref ref-type="bibr" rid="B11">11</xref>).</p>
<p>The ADS remains to be the actual topic in the field of psychiatry. Although its exact etiology remains unknown, susceptibility to the disorder is likely multifactorial. The cultural aspects are likely to play a very important role in the prevention and treatment of ADS. In Slovakia, 75% of adults consume alcohol occasionally or regularly. Alcohol is socially more accepted than other substances, and in Slovakia, its consumption is socially promoted (<xref ref-type="bibr" rid="B12">12</xref>). Alcoholism is the most commonly seen psychiatric diagnosis amongst Slovakians, and 26.5% of all psychiatric hospitalizations are due to alcohol (<xref ref-type="bibr" rid="B13">13</xref>). To our knowledge, the present study is a first study analyzing the prevalence of ASPD amongst the Slovak population. In the present study, we compared the characteristics of subjects with ADS and ADS comorbid with ASPD and compared their cognitive abilities. Knowledge of any cognitive deficits associated with ASPD would be valuable in working toward understanding the neurobiology of this disorder and its relationship with other conditions and developing more targeted treatment interventions.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Study design and setting</title>
<p>The present study was a cross-sectional pragmatic study of 100 consecutive adult research participants with a diagnosis of ADS who were hospitalized in the 1<sup>st</sup> Department of Psychiatry, University Hospital of Louis Pasteur in Kosice. The study was conducted between August 2023 and October 2023. The exclusion criteria were as follows: the diagnosis of intellectual disability, dementia, delirium tremens, substance use disorder (other than alcohol, nicotine, and/or caffeine), the presence of significant withdrawal symptoms (Brief Alcohol Withdrawal score&gt; 3 points), and the subject&#x2019;s disagreement to participate in the study. Out of the 100 individuals screened for the study, 20 were excluded. The reasons for the exclusion were either meeting the exclusion criteria, not signing the informed consent, or not filling out one or more questionnaires during the examination. The final statistical analysis included only subjects with completed data (80 participants).</p>
<p>The study was reviewed and approved by the Ethics Committee of the University Hospital of Louis Pasteur Kosice (study protocol number: 2023/EK/08045). The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Methods</title>
<p>For participants, we obtained sociodemographic and clinical characteristics, including age, sex, and the presence of comorbidities. The information was obtained through the subjects&#x2019; clinical interviews and medical records. The study used the following questionnaires: the Brief Alcohol Withdrawal Scale (BAWS), Montreal Cognitive Assessment (MoCA), the Alcohol Use Disorders Identification Test (AUDIT), the Depression, Anxiety, and Stress Scale-42 (DASS-42), the Pittsburgh Sleep Quality Index (PSQI), Structured Clinical Interview for DSM-IV, axis-II (SCID-II), Multifactorial Memory Questionnaire (MMQ), and The Adverse Childhood Experiences - International Questionnaire (ACE-IQ). If patients underwent computed tomography (CT) examination, we obtained these data from their documentation.</p>
<sec id="s2_2_1">
<label>2.2.1</label>
<title>Cognition assessment</title>
<p>The MoCA (Montreal Cognitive Assessment) includes tasks focused on attention, visual-constructive abilities, executive functions, immediate and long-term memory, naming, abstract thinking, speech, and orientation (<xref ref-type="bibr" rid="B14">14</xref>).</p>
<p>All points for subtasks are added to the total score (<xref ref-type="bibr" rid="B14">14</xref>). The maximum number of points is 30 (+ 1 for education) (<xref ref-type="bibr" rid="B14">14</xref>). It is also possible to calculate scores for individual cognitive domains, which can be used for differential diagnostic considerations (<xref ref-type="bibr" rid="B15">15</xref>). If the resulting score is 26-30, cognitive abilities are normal; if the score is 18-25, there is mild cognitive impairment present; if the participants reach a score of 10-17, we speak of moderate cognitive impairment, and with a score below 10, we diagnose subjects with severe cognitive impairment (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B15">15</xref>).</p>
</sec>
<sec id="s2_2_2">
<label>2.2.2</label>
<title>Dependence on alcohol assessment</title>
<p>The Alcohol Use Disorders Identification Test (AUDIT) is a 10-item test that asks about domains of alcohol use (<xref ref-type="bibr" rid="B16">16</xref>). The first three items refer to risky alcohol consumption, the following three determine the occurrence of possible symptoms of addiction, and the last four statements deal with indicators of harmful alcohol consumption (<xref ref-type="bibr" rid="B16">16</xref>). Individual statements are evaluated on a 5-point scale (<xref ref-type="bibr" rid="B16">16</xref>). The resulting raw score can be 0&#x2013;40 points (<xref ref-type="bibr" rid="B16">16</xref>). In interpreting the scores obtained, a score of 0&#x2013;7 indicates low-risk drinking, a score of 8&#x2013;15 indicates high-risk drinking, a score of 16&#x2013;19 represents harmful drinking, and a score of 20&#x2013;40 indicates alcohol dependence (<xref ref-type="bibr" rid="B16">16</xref>).</p>
</sec>
<sec id="s2_2_3">
<label>2.2.3</label>
<title>Quality of sleep assessment</title>
<p>We measured sleep quality using the PSQI questionnaire that evaluates sleep quality during the last month (<xref ref-type="bibr" rid="B17">17</xref>)&#x2060;. It is a 19-item questionnaire, where each item is assigned a possible score from 0-3, with a higher score indicating a greater problem with sleep (<xref ref-type="bibr" rid="B17">17</xref>)&#x2060;. This questionnaire evaluates seven components: Subjective sleep quality, sleep latency, sleep duration, awakening during the night, sleep efficiency, medication use to improve sleep, and daytime dysfunction&#x200b;&#x200b; (<xref ref-type="bibr" rid="B17">17</xref>)&#x2060;. Calculating the scores for all seven components gives us the so-called global PSQI score; if it is &gt; 5, it can distinguish individuals with poor sleep from those with good sleep (<xref ref-type="bibr" rid="B17">17</xref>)&#x2060;.</p>
</sec>
<sec id="s2_2_4">
<label>2.2.4</label>
<title>Depression, anxiety, stress assessments</title>
<p>In the present study, the DASS-42 was used to measure participant&#x2019;s affectivity (depression, anxiety, and stress) (<xref ref-type="bibr" rid="B18">18</xref>). Participants agree with 42 items on a 4-point Likert scale (<xref ref-type="bibr" rid="B18">18</xref>). The depression scale allows us to assess the degree of dysphoria, hopelessness, anhedonia, self-loathing, inactivity, or lack of interest (<xref ref-type="bibr" rid="B18">18</xref>). The items in the anxiety scale are mainly focused on physiological reactions but also on experiencing situational anxiety (<xref ref-type="bibr" rid="B18">18</xref>). The stress scale contains items measuring the degree of irritability, impatience, excitement, or tension (<xref ref-type="bibr" rid="B18">18</xref>). Adding up the points of these items gives us final scores for depression, anxiety, and stress (<xref ref-type="bibr" rid="B18">18</xref>). A score of 0-9 points indicates the absence of depression, 10-13 points indicate mild depression, 14-20 points indicate moderate depression, 21-27 points indicate severe depression, and a score above 28 indicates extremely severe depression (<xref ref-type="bibr" rid="B18">18</xref>). A score of 0-7 points suggests the absence of anxiety, 8-9 points indicate mild anxiety, 10-14 points indicate moderate anxiety, 15-19 points indicate severe anxiety, and a score above 20 points indicates extremely severe anxiety (<xref ref-type="bibr" rid="B18">18</xref>). A score of 0-14 points indicates the absence of stress, 15-18 points indicates mild stress, 19-25 points indicates moderate stress, 26-33 points indicates severe stress, and a score above 34 indicates extremely severe stress (<xref ref-type="bibr" rid="B18">18</xref>).</p>
</sec>
<sec id="s2_2_5">
<label>2.2.5</label>
<title>Withdrawal symptoms assessment</title>
<p>The Brief Alcohol Withdrawal Symptoms Scale (BAWS) consists of 5 items (tremor, sweating, agitation, orientation, and hallucinations), with each item rated on a scale from 0 to 3, with higher scores indicating more severe withdrawal symptoms (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</sec>
<sec id="s2_2_6">
<label>2.2.6</label>
<title>Metacognition assessment</title>
<p>The Multifactorial Memory Questionnaire (MMQ) was developed to assess several aspects of mnestic functions: emotions associated with memory performance, memory failures, and strategies used in the memory process (<xref ref-type="bibr" rid="B20">20</xref>&#x2013;<xref ref-type="bibr" rid="B22">22</xref>). By calculation, we can evaluate subjectively perceived cognition as very low, low, below average, average, above average, good, and very good (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
</sec>
<sec id="s2_2_7">
<label>2.2.7</label>
<title>Traumatization in childhood assessment</title>
<p>The ACE-IQ (Adverse Childhood Experiences &#x2013; International Questionnaire) detects traumatic childhood experiences and divides them into 13 categories: physical and emotional abuse, sexual abuse, violence between household members, caring for a family member who is physically or mentally ill, suicidal tendencies, incarceration of a household member, family dysfunction such as the death of one or both parents, divorce or parental separation, emotional and physical neglect, alcohol and drug abuse in the family, collective violence and bullying (<xref ref-type="bibr" rid="B23">23</xref>). The resulting score is from 0-13; the higher it is, the more trauma a person has experienced (<xref ref-type="bibr" rid="B23">23</xref>).</p>
</sec>
<sec id="s2_2_8">
<label>2.2.8</label>
<title>Antisocial personality disorder assessment</title>
<p>The Structured Clinical Interview for DSM-IV, axis-II (SCID-II, personality disorders) is a diagnostic methodology for ten personality disorders. In our study, we focused only on antisocial personality disorder (<xref ref-type="bibr" rid="B24">24</xref>). In a structured interview, we asked the participant 17 questions, some of which were about a social behavior disorder in childhood/adolescence. If the total score was at least 3 points, we asked 14 questions specific to antisocial personality disorder (<xref ref-type="bibr" rid="B24">24</xref>). If the subject had at least three symptoms, the diagnosis of antisocial personality disorder was established (<xref ref-type="bibr" rid="B24">24</xref>).</p>
</sec>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Statistical analyses</title>
<p>We analyzed the data using descriptive statistics and cluster analysis. We used the Shapiro-Wilk test to determine the normality of the data distribution. Continuous variables were expressed as medians (p50) and interquartile ranges (IQR = p25 - p75). Categorical variables were expressed as absolute and relative counts. The results of the ordinal logistic regression models are expressed as the probability value (<italic>P</italic>), odds ratio (OR) with 95% confidence interval (95% CI), and standard deviation of the regression coefficient (SD). Patterns between categorical variables were examined using the chi-squared test. A comparison of interval variables between the two groups was performed using the Wilcoxon rank-sum test. A value was considered statistically significant if the <italic>P</italic>-value was less than 0.05. Statistical analyses were performed using Stata Special Edition statistical software Version 13.1 (StataCorp LP, College Station, TX).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Sample characteristics and univariate analyses</title>
<p>A computed tomography (CT) scan of the brain was performed on 38 (47.5%) participants. Cortical cerebral atrophy was described in 33.8% of participants, and vascular changes were verified in 18.8%. Regarding comorbidities, 31.25% of patients were diagnosed with depressive disorder (25% with the diagnose other depressive episode, 6.25% with Major depressive disorder, recurrent, moderate), 6.25% of patients were diagnosed with Other specific personality disorders, 2.5% of patients were diagnosed with other schizophrenia, 1.25% of patients were diagnosed with Insomnia, not due to a substance or known physiological condition, and 1.25% of patients were diagnosed with Mixed obsessional thoughts and acts. Antisocial personality disorder was found in 35% of participants. More than 46% had no detected cognitive impairment in MoCA, 27.5% had mild cognitive impairment, 21.3% had moderate cognitive impairment, and 5% had severe cognitive impairment. Seventy-five percent of ASPD participants had cognitive impairment in MoCA. Only 8.8% of participants reported subjective problems with cognitive abilities in the MMQ questionnaire. Nearly 65% of participants had the documented pathology in the PSQI questionnaire. More than half of the participants described experiences with emotional abuse (61.3%), the presence of a person addicted to addictive substances in the home environment (57.5%), and observing violence between parents (62.5%). In the DASS-42 Questionnaire, we measured degrees of depression, anxiety, and stress. More than 46% of all participants had no symptoms of depression, 7.5% had only mild symptoms, 10% had moderate symptoms, 10% had severe symptoms, and 26.3% had extremely severe symptoms. Thirty-one point three percent of all participants had no anxiety symptoms, 6.3% had mild symptoms, 16.3% had moderate, 11.3% had severe, and 35% had extremely severe symptoms. More than 46% of all participants had no symptoms of stress, 6.3% had mild, 15% had moderate, 16.3% had severe, and 16.3% had extremely severe symptoms. Depression was reported in 68% of ASPD participants, 64% of participants reported stress, and 79% of participants reported anxiety. Among participants without ASPD, depression was reported in 53.85% of participants, 51.92% of participants reported stress, and 36.54% of participants reported anxiety. Regarding traumatization of ASPD participants, 42.8% reported physical abuse, 75% emotional abuse, 14% contact with sexual abuse, 89% reported alcohol and/or drug abuse in the household, 75% reported witnessing household member treated violently, 54% reported having one or no parent, parental separation or divorce, 29% reported emotional neglect, 43% physical neglect and 32% of ASPD participants reported being bullied. Regarding alcohol withdrawal symptoms, 53.75% of patients had no withdrawal symptoms during the examinations, 12.5% of patients had 1 point, 30% had 2 points, and 3.75% had 3 points on the BAWS scale.</p>
<p>The sociodemographic characteristics of all subjects, with a comparison between the subgroup of subjects with ADS and those with ADS+ASPD, are reported in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. The subjects with ASPD were younger, had a lower age of first hospitalization, were hospitalized more often, had a lower education grade, and were employed less frequently (all <italic>P</italic> &lt; 0.05).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Demographic and clinical characteristics of study participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="left">All (<italic>N</italic>=80)</th>
<th valign="middle" align="center">ADS (<italic>N</italic>=52)</th>
<th valign="middle" align="center">ADS+ASPD (<italic>N</italic>=28)</th>
<th valign="middle" align="left">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Males</td>
<td valign="middle" align="left">62 (77.5%)</td>
<td valign="middle" align="center">38 (47.5%)</td>
<td valign="middle" align="center">14 (17.5%)</td>
<td valign="middle" rowspan="2" align="left">0.19</td>
</tr>
<tr>
<td valign="middle" align="left">Females</td>
<td valign="middle" align="left">18 (22.5%)</td>
<td valign="middle" align="center">24 (30%)</td>
<td valign="middle" align="center">4 (5%)</td>
</tr>
<tr>
<td valign="middle" align="left">Age at first hospitalization, years</td>
<td valign="middle" align="left">42.5 (34-55)</td>
<td valign="middle" align="center">46 (34.5-57.5)</td>
<td valign="middle" align="center">38.5 (30.5-45)</td>
<td valign="middle" align="left">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Current age, years</td>
<td valign="middle" align="left">51.5 (38.5-58)</td>
<td valign="middle" align="center">53.5 (39.5-59.5)</td>
<td valign="middle" align="center">45 (36.5-55)</td>
<td valign="middle" align="left">
<bold>0.04</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Length of drinking alcohol, years</td>
<td valign="middle" align="left">4 (0.5-8)</td>
<td valign="middle" align="center">3 (0-7)</td>
<td valign="middle" align="center">6 (2-10)</td>
<td valign="middle" align="left">0.127</td>
</tr>
<tr>
<td valign="middle" align="left">Number of hospitalizations</td>
<td valign="middle" align="left">4 (2-7)</td>
<td valign="middle" align="center">2.5 (1.5-6)</td>
<td valign="middle" align="center">6 (3.5-12.5)</td>
<td valign="middle" align="left">
<bold>0.003</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">General education</td>
<td valign="middle" align="left">15 (18.75%)</td>
<td valign="middle" align="center">6 (7.5%)</td>
<td valign="middle" align="center">9 (11.25%)</td>
<td valign="middle" rowspan="3" align="left">
<bold>0.03</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">High school education</td>
<td valign="middle" align="left">55 (68.75%)</td>
<td valign="middle" align="center">37 (46.25%)</td>
<td valign="middle" align="center">18 (22.5%)</td>
</tr>
<tr>
<td valign="middle" align="left">University education</td>
<td valign="middle" align="left">10 (12.5%)</td>
<td valign="middle" align="center">9 (11.25%)</td>
<td valign="middle" align="center">1 (1.25%)</td>
</tr>
<tr>
<td valign="middle" align="left">Unemployed</td>
<td valign="middle" align="left">27 (33.75%)</td>
<td valign="middle" align="center">15 (18.75%)</td>
<td valign="middle" align="center">12 (15%)</td>
<td valign="middle" rowspan="4" align="left">
<bold>0.047</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Employed</td>
<td valign="middle" align="left">32 (40%)</td>
<td valign="middle" align="center">21 (26.25%)</td>
<td valign="middle" align="center">11 (13.75%)</td>
</tr>
<tr>
<td valign="middle" align="left">Retired pensioners</td>
<td valign="middle" align="left">10 (12.5%)</td>
<td valign="middle" align="center">11 (13.75%)</td>
<td valign="middle" align="center">0 (0%)</td>
</tr>
<tr>
<td valign="middle" align="left">Disability pensioners</td>
<td valign="middle" align="left">11 (13.75%)</td>
<td valign="middle" align="center">5 (6.25%)</td>
<td valign="middle" align="center">5 (6.25%)</td>
</tr>
<tr>
<td valign="middle" align="left">Single</td>
<td valign="middle" align="left">37 (46.25 %)</td>
<td valign="middle" align="center">22 (27.5%)</td>
<td valign="middle" align="center">15 (18.75%)</td>
<td valign="middle" rowspan="4" align="left">0.283</td>
</tr>
<tr>
<td valign="middle" align="left">Married</td>
<td valign="middle" align="left">25 (31.25 %)</td>
<td valign="middle" align="center">18 (22.5%)</td>
<td valign="middle" align="center">7 (8.25%)</td>
</tr>
<tr>
<td valign="middle" align="left">Widowed</td>
<td valign="middle" align="left">8 (10%)</td>
<td valign="middle" align="center">7 (8.25%)</td>
<td valign="middle" align="center">1 (1.25%)</td>
</tr>
<tr>
<td valign="middle" align="left">Divorced</td>
<td valign="middle" align="left">10 (12.5%)</td>
<td valign="middle" align="center">5 (6.25%)</td>
<td valign="middle" align="center">5 (6.25%)</td>
</tr>
<tr>
<td valign="middle" align="left">Without CT pathology</td>
<td valign="middle" align="left">9 (23.68%)</td>
<td valign="middle" align="center">6 (15.79%)</td>
<td valign="middle" align="center">3 (7.89%)</td>
<td valign="middle" align="left">0.431</td>
</tr>
<tr>
<td valign="middle" align="left">Vascular changes in CT</td>
<td valign="middle" align="left">15 (39.47%)</td>
<td valign="middle" align="center">10 (26.32%)</td>
<td valign="middle" align="center">5 (13.16%)</td>
<td valign="middle" align="left">0.254</td>
</tr>
<tr>
<td valign="middle" align="left">Atrophy in CT</td>
<td valign="middle" align="left">27 (71.05%)</td>
<td valign="middle" align="center">14 (36.84%)</td>
<td valign="middle" align="center">13 (34.21%)</td>
<td valign="middle" align="left">0.508</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data expressed as N (%) or medians and interquartile ranges (IQR).</p>
</fn>
<fn>
<p>ADS, Alcohol Dependence Syndrome; ADS+ASPD, Alcohol Dependence Syndrome with comorbid Antisocial Personality Disorder; CT, computed tomography; N, number. Bold values are statistically significant (p&lt;0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Psychological characteristics of all subjects with a comparison between subjects with ADS and subjects with ADS+ASPD are reported in <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>. Subjects with ASPD had higher scores of stress in DASS-42, traumatic events in ACE-IQ, lower scores in MoCA, more often had an addicted family member according to ACE-IQ, mental illness in the household according to ACE-IQ and incarcerated household member according to ACE-IQ (all <italic>P</italic>&lt;0.05).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Psychometric characteristics of participants with ADS and with ADS-ASPD.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left"/>
<th valign="middle" align="center">All (<italic>N</italic>=80)</th>
<th valign="middle" align="center">ADS (<italic>N</italic>=52)</th>
<th valign="middle" align="center">ADS+ASPD (<italic>N</italic>=28)</th>
<th valign="middle" align="center">
<italic>P-</italic>value</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" align="left">Depression in DASS-42</td>
<td valign="middle" align="center">11 (3-30)</td>
<td valign="middle" align="center">8.5 (0.5-24.5)</td>
<td valign="middle" align="center">21 (6.5-25.5)</td>
<td valign="middle" align="center">0.38</td>
</tr>
<tr>
<td valign="middle" align="left">Anxiety in DASS-42</td>
<td valign="middle" align="center">13 (5.5-24)</td>
<td valign="middle" align="center">12 (3-21.5)</td>
<td valign="middle" align="center">15.5 (8.5-28)</td>
<td valign="middle" align="center">0.63</td>
</tr>
<tr>
<td valign="middle" align="left">Stress in DASS-42</td>
<td valign="middle" align="center">17 (4.5-28)</td>
<td valign="middle" align="center">10.5 (2.5-26.5)</td>
<td valign="middle" align="center">20.5 (12.5-35.5)</td>
<td valign="middle" align="center">
<bold>0.026</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Traumatic events in ACE-IQ</td>
<td valign="middle" align="center">4 (2-6)</td>
<td valign="middle" align="center">3.5 (1-5)</td>
<td valign="middle" align="center">6 (4.5-7)</td>
<td valign="middle" align="center">
<bold>0.015</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">MoCA score</td>
<td valign="middle" align="center">20.5 (17-26)</td>
<td valign="middle" align="center">23 (18-26)</td>
<td valign="middle" align="center">19 (14.5-22.5)</td>
<td valign="middle" align="center">
<bold>0.046</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">AUDIT score</td>
<td valign="middle" align="center">26.5 (17-34)</td>
<td valign="middle" align="center">22 (13-31)</td>
<td valign="middle" align="center">33 (21.5-37.5)</td>
<td valign="middle" align="center">0.052</td>
</tr>
<tr>
<td valign="middle" align="left">PSQI score</td>
<td valign="middle" align="center">7 (3-14)</td>
<td valign="middle" align="center">6 (3-13.5)</td>
<td valign="middle" align="center">7 (3-16)</td>
<td valign="middle" align="center">0.058</td>
</tr>
<tr>
<td valign="middle" align="left">MMQ score</td>
<td valign="middle" align="center">100 (74-100)</td>
<td valign="middle" align="center">100 (82.5-100)</td>
<td valign="middle" align="center">79.5 (55-100)</td>
<td valign="middle" align="center">0.073</td>
</tr>
<tr>
<td valign="middle" align="left">Addicted family member in ACE-IQ</td>
<td valign="middle" align="center">46 (57.5%)</td>
<td valign="middle" align="center">21 (26.25%)</td>
<td valign="middle" align="center">25 (31.25%)</td>
<td valign="middle" align="center">
<bold>&lt;0.001</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Mental illness in the household in ACE-IQ</td>
<td valign="middle" align="center">23 (28.75%)</td>
<td valign="middle" align="center">9 (11.25%)</td>
<td valign="middle" align="center">14 (17.5%)</td>
<td valign="middle" align="center">
<bold>0.002</bold>
</td>
</tr>
<tr>
<td valign="middle" align="left">Incarcerated household member in ACE-IQ</td>
<td valign="middle" align="center">14 (17.5%)</td>
<td valign="middle" align="center">4 (5%)</td>
<td valign="middle" align="center">10 (12.5%)</td>
<td valign="middle" align="center">
<bold>0.002</bold>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data expressed as N (%) or medians and interquartile ranges (IQR).</p>
</fn>
<fn>
<p>ADS, Alcohol Dependence Syndrome; ADS+ASPD, Alcohol Dependence Syndrome with comorbid Antisocial Personality Disorder; DASS-42, Depression, Anxiety, and Stress Scale-42; ACE-IQ, Adverse Childhood Experiences &#x2013; International Questionnaire; MoCA, Montreal Cognitive Assessment; AUDIT, Alcohol Use Disorders Identification Test; PSQI, Pittsburgh Sleep Quality Index; MMQ, Multifactorial Memory Questionnaire; N, number. Bold values are statistically significant (p&lt;0.05).</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Bivariate analyses</title>
<p>The results of bivariate analyses showed that the presence of ASPD was predicted by a higher number of hospitalizations (OR = 1.13, 95% CI = 1.03-1.23, <italic>P</italic> = 0.007) and by a lower grade of education (OR = 0.29, 95% CI = 0.11-0.76, <italic>P</italic> = 0.012).</p>
<p>In bivariate analyses, subjects with ASPD had lower MoCA scores (OR = 0.29, 95% CI = 0.11- 0.76, <italic>P</italic> = 0.039), their family members were more often addicted (OR = 12.30, 95% CI = 3.29- 46.03, <italic>P</italic> &lt; 0.005), had mental illness in the household (OR = 6.67, 95% CI = 1.85- 23.97, <italic>P</italic> = 0.004) and an incarcerated household member (OR = 4.78, 95%CI = 1.70-13.41, <italic>P</italic> = 0.003).</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Multivariate analyses</title>
<p>Multivariate regression analyses were performed to examine whether significant results persisted after controlling for potential cofounders.</p>
<p>Multiple logistic regression models and results:</p>
<list list-type="roman-lower">
<list-item>
<p>In a model adjusting for the presence of ASPD (SCID-II), cognitive impairment (in MoCA), sex, length of drinking, and depression (in DASS-42), the presence of ASPD was significantly predicted by depression (OR 1.6; 95% CI: 1.14-2.23; <italic>P</italic>&#x2009;=&#x2009;0.006) and cognitive impairment (OR 6.18; 95% CI: 1.9- 20.15; <italic>P</italic>&#x2009;=&#x2009;0.003).</p>
</list-item>
<list-item>
<p>In a model adjusting for the presence of ASPD (SCID-II), sex, length of drinking, both cognitive impairment (in MoCA) (OR 3.64; 95% CI: 1.24- 10.71; <italic>P</italic>&#x2009;=&#x2009;0.019) and addicted family member (in ACE-IQ) (OR 5.76; 95% CI: 1.51- 21.99; <italic>P</italic>&#x2009;=&#x2009;0.01) were independently associated with ASPD.</p>
</list-item>
<list-item>
<p>In a model adjusting for the presence of ASPD (SCID-II), sex, length of drinking, both cognitive impairment (in MoCA) (OR 5.22; 95% CI: 1.62- 16.83; <italic>P</italic>&#x2009;=&#x2009;0.006) and an incarcerated household member (in ACE-IQ) (OR 14.26; 95% CI: 3.49- 58.37; <italic>P</italic>&#x2009;&lt;&#x2009;0.001) were independently associated with ASPD.</p>
</list-item>
</list>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The primary finding of the present study is that 35% of study participants met the criteria for ASPD and featured distinct demographical, clinical, and psychological characteristics. Our findings are in line with previous reports suggesting that antisocial behavior is associated with an increased risk of alcohol use and predicts later problems with alcohol use (<xref ref-type="bibr" rid="B25">25</xref>). These findings also provide additional evidence for the high prevalence of ADS in individuals with ASPD (<xref ref-type="bibr" rid="B3">3</xref>). Data from a large epidemiological study of psychopathology highlights the intertwined nature of ADS and personality disorders (<xref ref-type="bibr" rid="B26">26</xref>). In the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC), 42% of individuals who met the diagnostic criteria for any personality disorder also fulfilled the criteria for DSM-IV alcohol dependence (<xref ref-type="bibr" rid="B26">26</xref>). Those with ASPD showed a notably higher likelihood, being 7 to 8 times more prone to meeting the criteria for alcohol dependence (<xref ref-type="bibr" rid="B26">26</xref>).</p>
<p>An existing personality disorder elicits environmental responses, such as interpersonal or occupational problems, that provoke the onset of ADS (<xref ref-type="bibr" rid="B10">10</xref>). The comorbidity may result from overlapping genetic and environmental underpinnings (<xref ref-type="bibr" rid="B10">10</xref>). Shared environmental risk factors such as childhood trauma, coercive parenting, and antisocial peer affiliation are associated with the ADS comorbid with ASPD (<xref ref-type="bibr" rid="B10">10</xref>). On the other hand, ASPD incapacitates one&#x2019;s ability to ignore the immediate reward offered by alcohol (<xref ref-type="bibr" rid="B10">10</xref>). This jeopardizes the ability to inhibit habitual use of alcohol regardless of the significant psychological and physical distress it causes, leading to the genesis of ADS (<xref ref-type="bibr" rid="B10">10</xref>). Conversely, excessive alcohol consumption may lead to a neuroadaptation that results in increased impulsivity or negative emotionality, as seen in ASPD (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>On the other hand, earlier substance abuse causes aggression and/or antisocial behavior and may transform into ASPD later in life, further increasing aggression (<xref ref-type="bibr" rid="B27">27</xref>). Although the literature is limited in this aspect, it may be reasonable to suggest that the search for stimulus may be the initial reason that adolescents succumb to drug use, leading to antisocial/violent behavior and finally forming a vicious cycle embodied by ASPD (<xref ref-type="bibr" rid="B27">27</xref>). Findings indicate that proneness to act out aggressively may be linked to a reduced differentiation (at a neural and behavioral level) between threatening and non-threatening interpersonal cues, in line with the hypothesis of a hostile filter that biases the perception of the entire social environment, thus increasing the likelihood for aggressive encounters (<xref ref-type="bibr" rid="B28">28</xref>). Alterations of fronto-temporal-limbic regions and neuromodulatory systems, such as the serotonergic or endocannabinoid signaling systems, may also connect impulsive behavior to aggressive responding (<xref ref-type="bibr" rid="B28">28</xref>). Weaker cortico-striatal connectivity could relate to greater risk-taking and greater proclivity for violence (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>Furthermore, we found that participants with ASPD had lower MoCA scores and had more problems with vigilance, attention, and linguistic skills (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). This is in line with previous literature findings that antisocial symptoms have been significantly associated with cognitive control defects, attentional problems, abnormalities in decision-making, deficits in flexible responding, such as reversal learning, planning impairments, neural regions governing inhibitory control, and verbal deficits/delayed language development (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B30">30</xref>). The young offenders scored approximately half a standard deviation lower on verbal domains of intelligence than on performance-related domains of general intelligence (<xref ref-type="bibr" rid="B31">31</xref>). Moreover, in subjects with ASPD, spatial convergence in brain regions belonging to ventral and dorsal attention networks (the anterior midcingulate cortex/the pre-supplementary motor area (aMCC/pre-SMA), superior parietal lobule (SPL), and premotor (frontal eye field, and the cuneus) were found (<xref ref-type="bibr" rid="B32">32</xref>). Indeed, the aMCC/pre-SMA mainly corresponded to the ventral network, whereas the SPL and premotor cortex were associated with the dorsal network (<xref ref-type="bibr" rid="B32">32</xref>). These regions are frequently co-activated in tasks requiring attentional processes such as shifting: sustained, oddball, and working memory (<xref ref-type="bibr" rid="B32">32</xref>). Ventral network regions (e.g., aMCC/pre-SMA) may correspond to a stimulus-driven attentional system. In contrast, regions subserving the dorsal attentional network (e.g., SPL, premotor cortex) may play a crucial role in top-down or goal-driven attentional control (<xref ref-type="bibr" rid="B32">32</xref>). Subjects with ASPD have significant connectivity deficits in the amygdala, middle cingulate cortex, ventral posterior cingulate cortex-precuneus, ventromedial and dorsomedial prefrontal cortex, premotor cortex, and superior parietal lobule and increased connectivity in the ventral posterior cingulate cortex and decreased connectivity in the parietal operculum, calcarine cortex, and cuneus (<xref ref-type="bibr" rid="B32">32</xref>). There is a negative relationship between the severity of antisocial behaviors and connectivity with the ventromedial prefrontal cortex (<xref ref-type="bibr" rid="B32">32</xref>). These findings overlapped with socio-affective and attentional processes (<xref ref-type="bibr" rid="B32">32</xref>). The ASPD is associated with variability in neural functioning during reward and loss processing (<xref ref-type="bibr" rid="B33">33</xref>). In particular, impulsive-antisocial traits appeared to be specifically associated with hypersensitivity in the ventral striatum (VS) and prefrontal cortex (PFC) (VS reactivity or VS-PFC functional connectivity) during the anticipation, but not the receipt of rewards (<xref ref-type="bibr" rid="B33">33</xref>). Beyond VS reactivity, ASPD was related to the greater orbitofrontal cortex (OFC), medial PFC reactivity, and VS-dorsomedial PFC connectivity during reward processing (<xref ref-type="bibr" rid="B33">33</xref>). The ASPD was linked to greater reactivity in several regions, including the posterior cingulate, precuneus, and insula, during error-related loss receipt and decreased VS reactivity during loss anticipation (<xref ref-type="bibr" rid="B33">33</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Boxplot of statistically significant MoCA subtests with a comparison between subjects with ADS and ADS+ASPD. ADS, Alcohol Dependence Syndrome; ADS+ASP, Alcohol Dependence Syndrome with comorbid Antisocial Personality Disorder; MoCA, Montreal Cognitive Assessment; N, number.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1397009-g001.tif"/>
</fig>
<p>Our finding of younger age among ADS participants with comorbid ASPD corresponds with the literature (<xref ref-type="bibr" rid="B34">34</xref>). In our sample, individuals diagnosed with ASPD tend to start drinking alcohol at younger ages, which is in line with literature findings (<xref ref-type="bibr" rid="B35">35</xref>), and were more likely to seek treatment at a younger age, which was previously described (<xref ref-type="bibr" rid="B10">10</xref>). Studies also reported that prevalence rates of ASPD steadily decline with age (<xref ref-type="bibr" rid="B36">36</xref>). Over the years, researchers have proposed multiple factors that may contribute to the decline in the prevalence of ASPD with age, including increased rates of mortality and incarceration and a change in personality traits over the lifespan (<xref ref-type="bibr" rid="B37">37</xref>).</p>
<p>We found that individuals with ASPD had more frequent hospitalizations and more problems with alcohol consumption, as shown in the AUDIT test, which aligns with literature findings - more than half of subjects dependent on alcohol relapse within a year (<xref ref-type="bibr" rid="B38">38</xref>). Relapse can be attributed to several psychosocial and biological factors. Among others, marital status, traumatic experiences, psychological distress, and the presence of co-existing psychopathology, including anxiety and depression, and alteration in the brain&#x2019;s dopamine system may influence relapse (<xref ref-type="bibr" rid="B10">10</xref>). If individuals with ASPD seek treatment, their chances of adhering to the treatment are low because they tend to violate rules (<xref ref-type="bibr" rid="B10">10</xref>). The comorbidity leads to poorer treatment outcomes, thereby increasing the chance of relapse or drop-out (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>We reported that subjects with comorbid ASPD had lower education levels, tended to be unemployed more often, and tended to be married less often. The results align with the literature finding, which revealed significantly higher odds of a diagnosis among individuals with less than a high school education, lower income, and those not married (<xref ref-type="bibr" rid="B37">37</xref>). Using the NESARC-III data, Goldstein et&#xa0;al. (<xref ref-type="bibr" rid="B5">5</xref>) found similar results with adults of any age. In their study, individuals with ASPD were more likely to be 18-29 years old, widowed/separated/divorced, had less than a college degree and a lower family income (<xref ref-type="bibr" rid="B5">5</xref>). Also, more knowledge on the effect of education level on this relation is required since research suggests that school failure is overrepresented in offenders and related to aggressive antisocial behaviors (<xref ref-type="bibr" rid="B39">39</xref>). It is hypothesized that behavioral disorders and impulsivity in individuals with ASPD negatively affect their academic and professional achievements, which results in lower income levels and employment compared to healthy individuals (<xref ref-type="bibr" rid="B40">40</xref>).</p>
<p>We reported that participants with ADS+ASPD more often have family members who suffer from ADS, are incarcerated, or are otherwise mentally ill. Similarly, a state hospital study (<xref ref-type="bibr" rid="B41">41</xref>) of 740 individuals admitted for alcoholism treatment concluded that ADS+ASPD subjects had a higher prevalence of familial alcoholism when compared with alcohol abusers without ASPD. This points us toward the etiopathogenesis of the disease, which combines genetic and environmental influences (<xref ref-type="bibr" rid="B42">42</xref>&#x2013;<xref ref-type="bibr" rid="B44">44</xref>). Notably, Rhee and Waldman&#x2019;s (<xref ref-type="bibr" rid="B45">45</xref>) meta-analysis reported additive and non-additive genetic contributions to antisocial behavior (32% and 9%, respectively), 16% of the variance explained by shared environment, and 43% explained by individual-specific environmental influences. A genetic basis for ASPD is supported by the finding that a first-degree biological relative with ASPD constitutes a risk factor for the disorder (<xref ref-type="bibr" rid="B43">43</xref>). The ASPD, like most mental disorders, is thought to have a complex, multifactorial etiology characterized by polygenic inheritance and genetic heterogeneity across individuals. The genetic contribution is not stable over time, suggesting that partly different genes contribute to ASPD at different stages of the lifespan (<xref ref-type="bibr" rid="B44">44</xref>). Recently, GWAS meta-analysis identified a novel genome-wide significant signal with rs9806493 chromosome 15q26.1 close to SLCO3A1, possibly contributing to the genetic risk factor for ADS and ASPD (<xref ref-type="bibr" rid="B42">42</xref>). Many environmental risk factors were described in the literature. Of the prenatal risk factors, maternal smoking, alcohol use, drug use, and stress during pregnancy are among the best documented (<xref ref-type="bibr" rid="B44">44</xref>). Perinatal risk factors include obstetric complications, parental psychopathology, malnutrition, and exposure to heavy metals (<xref ref-type="bibr" rid="B44">44</xref>). Postnatal risk factors include more strained family relationships, child maltreatment, parental substance abuse, lower income, childhood residential mobility, and bullying (<xref ref-type="bibr" rid="B43">43</xref>).</p>
<p>Subjects with ASPD reported experiencing traumatic events more often (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>), which is in agreement with previous literature findings (<xref ref-type="bibr" rid="B10">10</xref>). Adverse childhood experiences, which encompass various forms of abuse, neglect, and impoverishment during childhood, are prime examples of negative socialization experiences that engender antisocial traits and behaviors (<xref ref-type="bibr" rid="B2">2</xref>). Clinical evidence suggests that trauma may contribute to ASPD features such that the experience of trauma provides a template for which people who develop ASPD learn to interact with others (<xref ref-type="bibr" rid="B46">46</xref>). People with ASPD traits may use the betrayal trauma they experienced earlier in life as a template for perpetrating trauma on others later in life (<xref ref-type="bibr" rid="B2">2</xref>). One way of understanding the relationship between antisocial behaviors preceded by traumatic experiences is to suggest that individuals who have experienced severe trauma develop insensitivity to stressful situations. In addition to numbing reactions of sadness and fear, these individuals would tend to behave aggressively. Traumatic experiences compromise the functioning of neurotransmitters, the neuroendocrine, and the immune system, generating a dysfunction of the hypothalamic-pituitary-adrenal system affecting control and stress response (<xref ref-type="bibr" rid="B4">4</xref>). The average correlation between trauma and ASPD traits were both high. Exposure to traumas at all levels of betrayal predicts ASPD traits for women, but only exposure to high betrayal trauma predicts ASPD traits for men (<xref ref-type="bibr" rid="B2">2</xref>). Fergusson et&#xa0;al. (<xref ref-type="bibr" rid="B47">47</xref>) examined the association between childhood sexual abuse, childhood physical abuse, and ASPD and found that the prevalence of ASPD at ages 18&#x2013;21 and 21&#x2013;25 was two to four times greater among those who had been sexually abused compared to those who had not. Similarly, those who experienced regular physical abuse or severe physical abuse had ASPD at a prevalence that was two to seven times higher than those who were not physically abused. In multivariate models, sexual abuse predicted ASPD; however, physical abuse did not occur in the fully adjusted model (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Pie graphs of the number of different types of traumatization in ACE-IQ with a comparison between subjects with ADS and ADS+ASPD. ADS, Alcohol Dependence Syndrome; ADS+ASPD, Alcohol Dependence Syndrome with comorbid Antisocial Personality Disorder; N, number.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1397009-g002.tif"/>
</fig>
<p>Our next finding was that depression, anxiety, and stress were all statistically significantly
correlated with ASPD) (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>), which is in line with the literature findings (<xref ref-type="bibr" rid="B40">40</xref>). However, we failed to replicate this finding in a linear regression model, possibly due to the small sample size. Symptoms reflecting impulsivity and emotional dysregulation are found in ASPD, psychopathy, anxiety, and mood disorders. Interestingly, the relationship between psychopathy and ASPD with mood and anxiety disorders has been a controversial topic, as many experts associate ASPD and psychopathy with very low levels of anxiety and depression (<xref ref-type="bibr" rid="B3">3</xref>). In contrast, in the DSM-5, it is noted that those with an ASPD diagnosis may also experience anxiety disorders and/or depressed mood (<xref ref-type="bibr" rid="B1">1</xref>). Evidence from epidemiological samples indicates that individuals with ASPD are four times more likely to experience a mood disorder, and up to half of the individuals with ASPD may also experience an anxiety disorder in their lifetime, particularly posttraumatic stress disorder and social anxiety disorder. These individuals with comorbid ASPD and anxiety disorders were found to be at increased risk for major depression and substance dependence (<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>). Drinking is sometimes used as a coping strategy and/or method of self-medication among individuals with substance abuse disorder before, during, and after anxiety-provoking events (<xref ref-type="bibr" rid="B3">3</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Boxplot of selected questionnaire results with a comparison between subjects with ADS and ADS+ASPD. ADS, Alcohol Dependence Syndrome; ADS+ASPD, Alcohol Dependence Syndrome with comorbid Antisocial Personality Disorder; DASS-42, Depression, Anxiety, and Stress Scale-42; ACE-IQ, Adverse Childhood Experiences - International Questionnaire; N, number.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpsyt-15-1397009-g003.tif"/>
</fig>
<p>Our last finding was that individuals with ADS-ASPD reported worse sleep, which showed a statistical trend. Previous sleep problems were reported in individuals with ASPD and ADS (<xref ref-type="bibr" rid="B50">50</xref>). A similar relationship between sleep and ASPD was described in a study conducted by Van Veen in 112 patients with antisocial personality disorder and borderline personality disorder. The study found a relationship between behavioral disinhibition and/or emotional dysregulation and poor sleep. Poor sleep quality was reported in 53.6% of the patients, especially with problems falling asleep, and 22.3% suffered from severe chronic insomnia, which was particularly characterized by major problems with sleep initiation, resulting in much shorter total sleep times. Problems with sleep were significantly associated with greater impulsivity. Subjects with greater insomnia or lower sleep quality reported more difficulties with focusing and controlling their thoughts (<xref ref-type="bibr" rid="B51">51</xref>). However, to our knowledge, this is the first study comparing sleep problems in individuals with ADS with and without ASPD.</p>
<p>A recent meta-analysis on 24,801 subjects did not find enough evidence to determine whether or not medication is a helpful treatment for people with ASPD (<xref ref-type="bibr" rid="B52">52</xref>). There is also minimal evidence available on psychological interventions for adults with ASPD (<xref ref-type="bibr" rid="B53">53</xref>). A recent meta-analysis of 605 adults found that three interventions (schema therapy, contingency management, and dialectic behavior therapy) may be more effective than other approaches (<xref ref-type="bibr" rid="B53">53</xref>). However, the certainty of the evidence was low or very low to recommend or reject any psychological treatment for people with a diagnosis of ASPD (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Our findings may not apply to all participants with alcohol dependence syndrome as the sample we studied was small. Nevertheless, the group was homogenous; all subjects were from the same region, and the same team of psychiatrists evaluated them. The results might differ in a sample of outpatients with the same problems and a sample of people recovering from ADS. Many of the participants in the present study were using benzodiazepines at the time of the examination, which can worsen some cognitive parameters.</p>
<p>Since this study extensively uses questionnaire methods, it was not possible to objectively evaluate variables such as sleep parameters or the incidence of traumatization. Specifically, in cases of memory decline, they may be unable to recall all the events. In addition, a limited insight into one&#x2019;s problems is very common in this population. The present results are preliminary, and the study is still ongoing. Further studies are warranted to evaluate the impact of various comorbidities and their treatment on cognitive skills.</p>
<p>The strength of the current study is that it provides a comprehensive analysis of comorbid ASPD among adults with ADS based on the in-depth analysis of the selected demographic and psychological variables controlling for key covariates in analyses. Another strength is that it explored familial psychopathology among subjects, providing deeper insights into their conditions. Overall, the study advances understanding of the complexities of comorbid ASPD in individuals with ADS, providing valuable insights for research and clinical practice.</p>
<p>The study demonstrated that more than one-third of the individuals with ADS met the criteria for
ASPD. The prevalence of depression, anxiety, stress, traumatization, and sleep problems was high among all subjects. All these difficulties were closely related to ASPD. Participants with ADS+ASPD had lower MoCA scores and had more problems with attention and linguistic skills. The findings implicate that screening for ASPD might be helpful in the complex management of ADS.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Ethics Committee of the University Hospital of Louis Pasteur Kosice (study protocol number: 2023/EK/08045). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>DJ: Conceptualization, Data curation, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. MP: Conceptualization, Formal analysis, Investigation, Methodology, Supervision, Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. SC: Investigation, Writing &#x2013; review &amp; editing. MF: Investigation, Writing &#x2013; review &amp; editing. JF: Investigation, Writing &#x2013; review &amp; editing. AB: Investigation, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
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