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Antisocial Personality Disorder

Q: What are the main symptoms of Antisocial Personality Disorder?

Antisocial Personality Disorder is characterized by a disregard for the rights of others, a lack of empathy or remorse, and impulsive, reckless, and aggressive behaviors. Individuals with this disorder may exhibit a pattern of violating the rights of others, often leading to legal or social problems.

Q: How does PubCompare.ai help researchers studying Antisocial Personality Disorder?

PubCompare.ai can help optimize your research protocols on Antisocial Personality Disorder in several ways. First, it allows you to screen protocol literature more efficiently, helping you identify the most relevant and effective approaches. Second, the platform's AI-driven analysis can pinpoiunt critical insights, highlighting key differences in protocol effectiveness and enabling you to choose the best option for reproducibility and accuracy. This helps ensure you're using the most effective methods in your studies on Antisocial Personality Disorder.

Q: Are there different types or variations of Antisocial Personality Disorder?

Yes, there are several variations of Antisocial Personality Disorder. Some individuals may exhibit more impulsive and aggressive behaviors, while others may be more calculated and manipulative. Additionally, the disorder can present differently in men and women, with some research suggesting that women with Antisocial Personality Disorder may be more likely to exhibit relational aggression, such as gossiping or social exclusion, rather than physical violence.

Q: How can PubCompare.ai assist in the optimal use and comparison of Antisocial Personality Disorder research protocols?

PubCompare.ai's AI-driven platform allows you to easily locate and compare research protocols from the literature, preprints, and patents related to Antisocial Personality Disorder. This enables you to identify the best approaches for your specific studies, ensuring you're using the most effective methods and streamlining your research process. The platform's analysis can highlight key differences in protocol effectiveness, helping you choose the option that will provide the most reproducible and accurate results.

Q: What are some common challenges in studying Antisocial Personality Disorder?

One of the main challenges in studying Antisocial Personality Disorder is the difficulty in accessing research participants, as individuals with this disorder may be less inclined to volunterr for research studies. Additionally, the disorder can present differently across genders and age groups, making it difficult to generalize findings. PubCompare.ai can help address these challenges by providing access to a wider range of research protocols, allowing you to identify the most effective approaches for your specific study population and research goals.

Antisocial Personality Disorder is a mental health condition characterized by a disregard for the rights of others and a lack of empathy or remorse.
Individuals with this disorder may exhibit impulsive, reckless, and aggressive behaviors, often leading to legal or social problems.
PubCompare.ai can help optimize your research protocols by providing easy access to relevant literature, preprints, and patents, allowing you to identify the best approaches for your studies on Antisocial Personality Disorder.
Streamline your research process and ensure you're using the most effective methods by leveraging PubCompare.ai's AI-driven platform.

Most cited protocols related to «Antisocial Personality Disorder»

NESARC-III Test-Retest Reliability Study

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Publication 2014

Adult Agoraphobia Alcohol Use Disorder Antisocial Personality Disorder Anxiety Disorders Asian Americans Drug Use Disorders Dysthymic Disorder Ethanol Ethics Committees, Research Face Hispanics Households Major Depressive Disorder Mania Mental Health Minority Groups Mood Mood Disorders Nicotine Use Disorder Panic Disorder Pharmaceutical Preparations Phobia, Specific Post-Traumatic Stress Disorder Social Anxiety Stress Disorders, Traumatic Substance Abuse Target Population Tobacco Products Tobacco Use Disorder Workers Wounds and Injuries

Childhood Adversity Assessment in the NCS-R

Twelve dichotomous CAs occurring before age 18 were assessed in the NCS-R. Selection of CAs was based on our reading of the literature. These include three types of interpersonal loss (parental death, parental divorce, other separation from parents or caregivers), four types of parental maladjustment (mental illness, substance abuse, criminality, violence), three types of maltreatment (physical abuse, sexual abuse, neglect), and two other CAs (life-threatening respondent childhood physical illness, extreme childhood family economic adversity). The measures of parental death, divorce, and other separation (e.g., respondent foster care placement) focus only on biological parents, not step-parents or other caregivers. Respondents who were born to a single mother and never experienced any further disruption of this parenting arrangement were coded as not experiencing any parental separation. We did not include information about number of caregiver disruptions (e.g., multiple divorces) or separations (e.g., multiple foster care placements), but rather coded respondents dichotomously as having any versus no such disruptions because the rarity of multiple disruptions made estimates of dose-response relationships unstable.
Parental criminality, family economic adversity, and sexual abuse were assessed with short question series developed for the baseline NCS.10 (link) Parental criminality was assessed with questions about whether a parent either engaged in criminal activities like burglary or selling stolen property or was ever arrested for criminal activity. Economic adversity was assessed with questions about whether the family received welfare or other government assistance and whether the family often lacked enough money to pay for basic necessities of living. Sexual abuse was assessed with questions about repeated fondling, attempted rape, or rape. Parental mental illness (major depression, generalized anxiety disorder, panic disorder, antisocial personality disorder) and substance abuse were assessed with the Family History Research Diagnostic Criteria (FHRDC) Interview27 and its extensions.28 (link) Family violence and physical abuse of the respondent by parents were assessed with a modified version of the Conflict Tactics Scale.29 Neglect was assessed with questions used in studies of child welfare about frequency of not having adequate food, clothing, or medical care, having inadequate supervision, and having to do age-inappropriate chores.30 Life-threatening physical illness, finally, was assessed with a standard chronic conditions checklist.31 (link)

Green J.G., McLaughlin K.A., Berglund P.A., Gruber M.J., Sampson N.A., Zaslavsky A.M, & Kessler R.C. (2010). Childhood adversities and adult psychopathology in the National Comorbidity Survey Replication (NCS-R) I: Associations with first onset of DSM-IV disorders. Archives of general psychiatry, 67(2), 113.

Publication 2009

Abuse, Physical Antisocial Personality Disorder Anxiety Disorders Biopharmaceuticals Brassica rapa Childbirth Child Welfare Chronic Condition Criminals Diagnosis Food Major Depressive Disorder Mental Disorders Mothers Panic Disorder Parent Physical Examination Sexual Abuse Step-Parent Substance Abuse Supervision

Validation of NESARC-III Psychopathy Assessment

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Publication 2014

Antisocial Personality Disorder Anxiety Asian Americans Ethanol Ethics Committees, Research Face Hispanics Households Hurricanes Mood Negroes Pharmaceutical Preparations Stress Disorders, Traumatic Tobacco Use Disorder Workers Wounds and Injuries

Longitudinal Study of Adolescent Drinking Patterns

Participants were recruited as part of an ongoing longitudinal neuroimaging study. Flyers were mailed to households of local middle schools describing the project, major inclusion criteria, and compensation. Exclusionary criteria were prenatal alcohol (>2 drinks in a week) or any tobacco or illicit drug use; history of chronic medical illness, any neurological or DSM-IV (APA, 1994 ) Axis I disorder other than conduct disorder, loss of consciousness (>2 minutes), or learning disabilities; parental history of bipolar, psychotic, or antisocial personality disorder; sensory problems; and left handedness. In all, 13% of respondents met eligibility criteria. Extensive screening and background data were obtained from each participant, one biological parent, and one other parent or close relative. At baseline, this study included 76 participants, ages 12–14 years, who had minimal substance use (≤6 total lifetime drinks with ≤3 drinks on any occasion; ≤3 lifetime uses of marijuana (>0 for n=5) and none in the past three months; ≤10 lifetime cigarette uses (>0 for n=5); and no history of other intoxicant use). The current study included adolescents who transitioned into heavy (n= 25; 11 females) or moderate (n=11; 2 females) drinking, and those who remained non-users through follow-up (n=40; 16 females; see Table 1). Because this study is ongoing, different follow-up time points were examined, ranging from one to five years (mean=3.6).

Squeglia L.M., Spadoni A.D., Infante M.A., Myers M.G, & Tapert S.F. (2009). Initiating Moderate to Heavy Alcohol Use Predicts Changes in Neuropsychological Functioning for Adolescent Girls and Boys. Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors, 23(4), 715-722.

Publication 2009

Adolescent Alcohols Antisocial Personality Disorder Biopharmaceuticals Conduct Disorder Disease, Chronic Eligibility Determination Epistropheus Females Households Illicit Drugs Learning Disabilities Marijuana Use Mental Disorders Parent Substance Use Tobacco Products

COGA Alcohol Dependence Recruitment and Assessment Protocol

Initial ascertainment of alcohol-dependent probands (designated Stage I) was performed by screening consecutive admissions at treatment facilities. Probands were assessed with the Semi-Structured Assessment for the Genetics of Alcoholism (SSAGA), a comprehensive diagnostic instrument developed for this study and now widely used [18 (link),19 (link)]. Extensive histories of substance use and abuse were gathered along with diagnostic information for multiple Axis I disorders and antisocial personality disorder. To be recruited into the COGA study, probands had to meet both the diagnostic criteria for alcohol dependence (by DSM-III-R criteria [20 ] and the criteria for definite alcoholism specified by Feighner et al. [21 (link)]); thus, the COGA sample is representative of a severely alcohol-dependent population. All first degree relatives of the probands were invited to participate. Children and adolescents in the families were assessed with complementary age-appropriate instruments (C-SSAGA, child and adolescent versions). A set of control families was ascertained to provide normative measures; they were not screened to eliminate those with psychiatric disorders, and are similar to a general population sample. Written informed consent was obtained from all subjects, and the Institutional Review Boards (IRB) of each collaborative site approved all procedures. A more complete description of the recruitment procedures can be found in Begleiter et al. [1 (link),22 ]. Over 13,000 individuals have been interviewed to date.
A subset of COGA families with at least three alcohol-dependent first degree relatives (designated Stage II) was identified as suitable for a genetic linkage study [1 (link)]. These families were extended by diagnostic assessment of more distant relatives in branches reached through an affected member. The Stage II families participated in a more comprehensive multi-domain assessment with an electrophysiologic evaluation of event-related potentials (ERP), event-related oscillations (EROs) and resting electroencephalogram (EEG), endophenotypes associated with alcohol dependence [23 (link),24 ] that are more proximal to genes and may provide measures of the liability underlying a predisposition to alcohol dependence and related disorders.

Edenberg H.J., Bierut L.J., Boyce P., Cao M., Cawley S., Chiles R., Doheny K.F., Hansen M., Hinrichs T., Jones K., Kelleher M., Kennedy G.C., Liu G., Marcus G., McBride C., Murray S.S., Oliphant A., Pettengill J., Porjesz B., Pugh E.W., Rice J.P., Rubano T., Shannon S., Steeke R., Tischfield J.A., Tsai Y.Y., Zhang C, & Begleiter H. (2005). Description of the data from the Collaborative Study on the Genetics of Alcoholism (COGA) and single-nucleotide polymorphism genotyping for Genetic Analysis Workshop 14. BMC Genetics, 6(Suppl 1), S2.

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Publication 2005

Adolescent Alcoholic Intoxication, Chronic Antisocial Personality Disorder Child Diagnosis Drug Abuse Electroencephalogram Epistropheus Ethanol Ethics Committees, Research Genes Linkage, Genetic Mental Disorders Potentials, Event-Related Substance Use Susceptibility, Disease

Most recents protocols related to «Antisocial Personality Disorder»

Asymptomatic COVID-19 Patients' Mental Well-being

Convenience sampling was used to collect data from two large Fangcang shelter hospitals in Shanghai from 22 April to 8 May 2022. The inclusion criteria were: positive COVID-19 status, diagnosed as asymptomatic or mild patients; admission within the previous 2 weeks; age 16–65 years; breathing rate < 30 beats per minute; demonstration of cognizance and self-caring abilities in answering questionnaires; no history of self-reported psychopathy; no use of anti-depression or anti-anxiety drugs within one year; no other chronic diseases (e.g., hypertension, coronary heart diseases). With traditional written tests, some trained nurses informed the patients about the significance of this questionnaire. After the patients signed informed consent forms, they voluntarily participated in the questionnaire.
In total, 1,124 copies of the questionnaire were sent out, and 1,087 copies were returned. Of them, 73 copies were excluded due to their incompleteness. Finally, 1,014 copies were included in the analysis.

Peng J., Zhang T., Li Y., Wu L., Peng X., Li C., Lin X., Yu J., Mao L., Sun J, & Fang P. (2023). Effects of dysfunctional beliefs about sleep on sleep quality and mental health among patients with COVID-19 treated in Fangcang shelter hospitals. Frontiers in Public Health, 11, 1129322.

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Publication 2023

Anti-Anxiety Agents Antisocial Personality Disorder COVID 19 Disease, Chronic Heart Disease, Coronary High Blood Pressures Nurses Patients Respiratory Rate

Screening Personality Disorders Protocol

To assess individual differences in personality disorders we used the Polish version of the measure [22 (link)]. Specifically, the psychological diagnoses were made using the Screening Modules for Axis II Disorders. The tool is a self-report questionnaire based on the DSM criteria for each of 12 personality disorders (PDs; e.g., Narcissistic, Avoidant or Antisocial Personality Disorder). Participants are asked whether (yes/no) 119 items (e.g., Do you often worry that in social situations someone will criticize or reject you?) apply to them. Each disorder is scored continuously based on a count of the affirmative responses which are then dichotomized based on DSM cutoff protocols [22 (link)]. Both continuous and dichotomized indices were used in our studies. The tool has satisfactory reliability (e.g., for all PDs mean kappa = .80 in [23 ] and validity [24 , 25 (link)].

Kaźmierczak I., Zajenkowska A., Rogoza R., Jonason P.K, & Ścigała D. (2023). Self-selection biases in psychological studies: Personality and affective disorders are prevalent among participants. PLOS ONE, 18(3), e0281046.

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Publication 2023

Antisocial Personality Disorder Diagnosis Epistropheus Narcissism Personality Disorders

Psychopathy's Role in Data Analysis

Data were cleaned and analysed using R. To analyse data in respect of the hypotheses, an ANCOVA was administered to account for the participants’ own psychopathy.

Silverio S.A., Lyons M.T, & Burton S.P. (2023). Dangerously Intelligent: A Call for Re-Evaluating Psychopathy Using Perceptions of Intelligence. Journal of Intelligence, 11(2), 25.

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Publication 2023

Antisocial Personality Disorder

Mate Selection, Psychopathology, and Environment

Ethical approvals were sought and granted by the University of Liverpool’s Institute of Psychology, Health, and Society Research Ethics Committee [ref:- IPHS-1415-017]. Four hundred and fifty-eight participants (384 females; M_Age = 24.74, SD_Age = 10.83) took part in an online study entitled: “Environment, Psychopathology, and Mate Selection”. The online survey was rolled out through a university sample and community sample simultaneously, meaning participants were drawn from a global English-speaking population, with a majority subset based at the host university. The survey took on average 20 min to complete. Thirty-eight participants who identified as homosexual or bisexual were removed from the final dataset, due to being underpowered for any meaningful sub-group analysis. Therefore, all participants included in this analysis identified as heterosexual and therefore rated opposite-sex vignettes. The survey was advertised to students at a university in the North-West of England (in exchange for course credit) and via snowballing to participants through social media and online study participation websites. The first page of the study stated a brief outline and ethical considerations of the study, which was followed by ratings of twelve character profile vignettes on a range of items (not all reported here), with the final section of the study asking each participant to complete a self-report scale of psychopathy.

Silverio S.A., Lyons M.T, & Burton S.P. (2023). Dangerously Intelligent: A Call for Re-Evaluating Psychopathy Using Perceptions of Intelligence. Journal of Intelligence, 11(2), 25.

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Publication 2023

Antisocial Personality Disorder Bisexuals Character Ethics Committees, Research Females Heterosexuals Homosexuals Student

Perceptions of Intelligence in Psychopathic Profiles

We created twelve profiles (three high-primary psychopathic; three low-primary psychopathic; three high-secondary psychopathic; three low-secondary psychopathic), using traits from the Manual for the Self-Report Psychopathy (SRP-III) Scale (Paulhus et al., forthcoming ), using aspects of the scale to develop profiles and histories for each vignette character. Vignettes were similar in length and in number of descriptions for each fictional person and met Gould (link)’s (1996 (link)) check-list points for validity and reliability when developing vignettes for research studies. For female participants, fictitious male names were used. The same vignettes were used for male participants, except the names and pronouns were changed to be female (see Appendix A for actual vignettes used). Participants were asked to rate these 12 vignettes on the likelihood of the statement being perceived as true, on two proxies for intelligence: a high IQ and university attendance (as in Deary and Johnson 2010 (link)). The way the questions were presented to the participant was as follows: Q. How likely is it that the person in this vignette: (1) …has attended University? (2) …has a high IQ? The possible responses to whether the person described in the vignette had attended university or had a high IQ were presented on an eleven-point Likert scale from which they could select the following: 0 = extremely unlikely, 5 = neither likely nor unlikely, 10 = extremely likely. As the perceptions for high IQ and university attendance were significantly positively correlated (all r’s 0.53–0.71, and p’s < .001), we combined the two together to form an overall index of perceived intelligence.
All participants then completed the 26-item Levenson Self-Report Psychopathy Scale (LSRP; Levenson et al. 1995 (link); validated by Lynam et al. 1999 (link)). Participants responded on how much they agreed (1 = Disagree Strongly; 4 = Agree Strongly) with statements relating to primary psychopathy (of which there were 16 items) and to secondary psychopathy (a further 10 items). Scores were summed in accordance with guidance from Brinkley et al. (link) (2001 (link)) to give each participant two scores for each psychopathy sub-type (primary and secondary), which were used for analyses.
We decided on the use of different psychopathy scales for vignette development and self-reported psychopathy to prevent circular responses of participants rating themselves in relation to the vignettes.

Silverio S.A., Lyons M.T, & Burton S.P. (2023). Dangerously Intelligent: A Call for Re-Evaluating Psychopathy Using Perceptions of Intelligence. Journal of Intelligence, 11(2), 25.

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Publication 2023

Antisocial Personality Disorder Character Males Woman

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What are the main symptoms of Antisocial Personality Disorder?

How does PubCompare.ai help researchers studying Antisocial Personality Disorder?

PubCompare.ai can help optimize your research protocols on Antisocial Personality Disorder in several ways. First, it allows you to screen protocol literature more efficiently, helping you identify the most relevant and effective approaches. Second, the platform's AI-driven analysis can pinpoiunt critical insights, highlighting key differences in protocol effectiveness and enabling you to choose the best option for reproducibility and accuracy. This helps ensure you're using the most effective methods in your studies on Antisocial Personality Disorder.

Are there different types or variations of Antisocial Personality Disorder?

Yes, there are several variations of Antisocial Personality Disorder. Some individuals may exhibit more impulsive and aggressive behaviors, while others may be more calculated and manipulative. Additionally, the disorder can present differently in men and women, with some research suggesting that women with Antisocial Personality Disorder may be more likely to exhibit relational aggression, such as gossiping or social exclusion, rather than physical violence.

How can PubCompare.ai assist in the optimal use and comparison of Antisocial Personality Disorder research protocols?

PubCompare.ai's AI-driven platform allows you to easily locate and compare research protocols from the literature, preprints, and patents related to Antisocial Personality Disorder. This enables you to identify the best approaches for your specific studies, ensuring you're using the most effective methods and streamlining your research process. The platform's analysis can highlight key differences in protocol effectiveness, helping you choose the option that will provide the most reproducible and accurate results.

What are some common challenges in studying Antisocial Personality Disorder?

One of the main challenges in studying Antisocial Personality Disorder is the difficulty in accessing research participants, as individuals with this disorder may be less inclined to volunterr for research studies. Additionally, the disorder can present differently across genders and age groups, making it difficult to generalize findings. PubCompare.ai can help address these challenges by providing access to a wider range of research protocols, allowing you to identify the most effective approaches for your specific study population and research goals.

More about "Antisocial Personality Disorder"

Antisocial personality disorder (ASPD), also known as sociopathy or psychopathy, is a mental health condition characterized by a persistent disregard for the rights and feelings of others.
Individuals with ASPD may exhibit impulsive, reckless, and aggressive behaviors, often leading to legal or social problems.
Some key features of ASPD include a lack of empathy or remorse, a tendency to lie and manipulate others, and a disregard for social norms and the wellbeing of those around them.
These individuals may have difficulty forming meaningful relationships and may engage in criminal or substance abuse behaviors.
ASPD is typically diagnosed using standardized assessment tools like the SPSS (Statistical Package for the Social Sciences) or the PsycINFO database.
Diagnostic criteria may include a history of conduct disorder in childhood, a pattern of disregard for others, and a failure to conform to social norms.
Treatment for ASPD often involves a combination of psychotherapy, medication, and behavioral interventions, with the goal of helping the individual develop better self-control and interpersonal skills.
Reseach on ASPD has utilized a variety of methodologies, including longitudinal studies, genetic analyses, and neuroimaging techniques.
For example, the Oragene Saliva Collection Kit has been used to obtain DNA samples for genetic studies, while SPSS Statistics and Stata have been used to analyze large datasets related to ASPD.
MATLAB has also been employed in the development of computational models of the neural mechanisms underlying antisocial behaviors.
Ultimately, a deeper understanding of the causes and effects of ASPD can help inform more effective prevention and treatment strategies, allowing individuals with this disorder to lead more fulfilling and socially responsible lives.
By leveraging tools like PubCompare.ai, researchers can streamline their work and identify the most promising approaches for studying this complex and challenging mental health condition.