Psychopathic traits in the context of paid erotic services and sex exchange among college students.

2021 ◽  
Author(s):  
Bethany G. Edwards ◽  
Amy M. Hoffmann ◽  
Edelyn Verona
Keyword(s):  
College Students ◽  
Psychopathic Traits ◽  
Sex Exchange

Facial affect recognition in college students with psychopathic traits: A comparison using tests matched in discriminating power

2019 ◽  
Vol 78 ◽  
pp. 52-60 ◽  
Author(s):  
David S. Kosson ◽  
Terry Chi ◽  
Nastassia R.E. Riser ◽  
Zach Walsh ◽  
Courtney N. Beussink ◽  
...  
Keyword(s):  
College Students ◽  
Psychopathic Traits ◽  
Facial Affect ◽  
Affect Recognition ◽  
Facial Affect Recognition ◽  
Discriminating Power

scholarly journals Connectome-based model predicts individual psychopathic traits in college students

2021 ◽  
pp. 136387
Author(s):  
Shuer Ye ◽  
Bing Zhu ◽  
Lei Zhao ◽  
Xuehong Tian ◽  
Qun Yang ◽  
...  
Keyword(s):  
College Students ◽  
Psychopathic Traits

scholarly journals Connectome-based model predicts individual psychopathic traits in college students

2021 ◽  
Author(s):  
Shuer Ye ◽  
Bing Zhu ◽  
Lei Zhao ◽  
Xuehong Tian ◽  
Qun Yang ◽  
...  
Keyword(s):  
College Students ◽  
Prefrontal Cortex ◽  
General Population ◽  
Limbic System ◽  
Psychopathic Traits ◽  
Anterior Cingulate ◽  
Self Report ◽  
Special Role ◽  
Whole Brain ◽  
Secondary Psychopathy

Background: Psychopathic traits have been suggested to increase the risk of violations of socio-moral norms. Previous studies revealed that abnormal neural signatures are associated with elevated psychopathic traits; however, whether the intrinsic network architecture can predict psychopathic traits at the individual level remains unclear. Methods: The present study utilized connectome-based predictive modeling (CPM) to investigate whether whole-brain resting-state functional connectivity (RSFC) can predict psychopathic traits in the general population. RS functional magnetic resonance imaging data were collected from 84 college students with varying psychopathic traits measured by the Levenson Self-Report Psychopathy Scale (LSRP). Results: We found that RSFC of the negative networks predicted individual differences in total LSRP and secondary psychopathy scores but not primary psychopathy score. Particularly, nodes with the most connections in the predictive connectome anchored in the prefrontal cortex (e.g., anterior prefrontal cortex and orbitofrontal cortex) and limbic system (e.g., anterior cingulate cortex and insula). In addition, the connections between the occipital network (OCCN) and cingulo-opercular network (CON) served as a significant predictive connectome for total LSRP and secondary psychopathy score. Conclusion: CPM constituted by whole-brain RSFC significantly predicted psychopathic traits individually in the general population. The prefrontal cortex and limbic system at the anatomic level and the CON and OCCN at the functional network level plays a special role in the predictive model-reflecting atypical executive control and affective processing for individuals with elevated psychopathic traits. These findings may provide some implications for early detection and potential intervention of psychopathic tendency.

Dark Triad Personality Traits in Cyber Aggression Among College Students

2020 ◽  
Vol 35 (4) ◽  
pp. 524-538
Author(s):  
Taylor R. Nocera ◽  
Eric R. Dahlen
Keyword(s):  
College Students ◽  
College Student ◽  
Personality Traits ◽  
Multiple Regression ◽  
Psychopathic Traits ◽  
Dark Triad ◽  
Student Sample ◽  
Hierarchical Multiple Regression ◽  
Cyber Aggression ◽  
College Student Sample

Despite evidence supporting the importance of cyber aggression among early adolescents (Hinduja & Patchin, 2015), we know less about its correlates among college students. The present study examined the relationships of Dark Triad personality traits to cyber aggression in a college student sample (N = 297). Machiavellian, narcissistic (both grandiose and vulnerable forms), and psychopathic traits positively related to cyber aggression perpetration. A hierarchical multiple regression including gender, age, and Dark Triad traits found that only the erratic lifestyle component of psychopathic traits explained unique variance in cyber aggression perpetration. Gender did not moderate the relationships between Dark Triad traits and cyber aggression. These findings add to the literature on cyber aggression among college students, suggesting that psychopathic traits are a useful predictor.

The Normative Nature of Aggressive Intrusive Thinking Among an Underserved Incarcerated Population Compared With a Student Sample

2018 ◽  
Vol 62 (13) ◽  
pp. 4142-4157
Author(s):  
Ryan C. T. DeLapp ◽  
Gregory S. Chasson ◽  
Jessica Swerbilow ◽  
Brittany Gibby ◽  
Ghazel Tellawi ◽  
...  
Keyword(s):  
College Students ◽  
Significant Interaction ◽  
Intrusive Thoughts ◽  
Psychopathic Traits ◽  
Violent Crimes ◽  
Student Sample ◽  
Primary Psychopathy ◽  
Cognitive Experience ◽  
Incarcerated Population ◽  
The Relationship

Aggressive intrusive thoughts (AITs) are unwanted and repetitive thoughts, impulses, or desires that enter into consciousness involuntarily. The current study compared the frequency of and distress from AITs in a sample of inmates jailed for violent crimes ( n = 78) versus college students ( n = 103; that is, participant status). The relationship between psychopathic traits and AITs was also explored. Results indicated that, although there were no differences between students and inmates, AIT frequency was positively associated with Primary Psychopathy. However, there was no significant interaction between participant status (i.e., inmate vs. student) and psychopathy. Finally, there were no significant main or interactions effects in the model predicting AIT distress. These findings demonstrate that AIT frequency is a normative cognitive experience that occurs in both nonviolent and violent individuals, and provides further evidence for an association between psychopathic traits and unwanted aggressive cognition.

Lessons Learned From Coaching Postsecondary Students With Traumatic Brain Injury

2020 ◽  
Vol 5 (1) ◽  
pp. 88-96
Author(s):  
Mary R. T. Kennedy
Keyword(s):  
College Students ◽  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Sense Of Self ◽  
Scientific Evidence ◽  
Sudden Onset ◽  
Lessons Learned ◽  
Speech Language Pathologists ◽  
The Brain ◽  
Exhaustive List

Purpose The purpose of this clinical focus article is to provide speech-language pathologists with a brief update of the evidence that provides possible explanations for our experiences while coaching college students with traumatic brain injury (TBI). Method The narrative text provides readers with lessons we learned as speech-language pathologists functioning as cognitive coaches to college students with TBI. This is not meant to be an exhaustive list, but rather to consider the recent scientific evidence that will help our understanding of how best to coach these college students. Conclusion Four lessons are described. Lesson 1 focuses on the value of self-reported responses to surveys, questionnaires, and interviews. Lesson 2 addresses the use of immediate/proximal goals as leverage for students to update their sense of self and how their abilities and disabilities may alter their more distal goals. Lesson 3 reminds us that teamwork is necessary to address the complex issues facing these students, which include their developmental stage, the sudden onset of trauma to the brain, and having to navigate going to college with a TBI. Lesson 4 focuses on the need for college students with TBI to learn how to self-advocate with instructors, family, and peers.

Effects of Physical Training on Stuttering

1968 ◽  
Vol 11 (4) ◽  
pp. 767-776 ◽  
Author(s):  
B. Don Franks ◽  
Elizabeth B. Franks
Keyword(s):  
College Students ◽  
Group Therapy ◽  
Physical Training ◽  
Cardiovascular Response ◽  
Training Group ◽  
Physical Stress ◽  
Submaximal Exercise ◽  
Endurance Running ◽  
Response To Exercise

Eight college students enrolled in group therapy for stuttering were divided into two equal groups for 20 weeks. The training group supplemented therapy with endurance running and calisthenics three days per week. The subjects were tested prior to and at the conclusion of the training on a battery of stuttering tests and cardiovascular measures taken at rest, after stuttering, and after submaximal exercise. There were no significant differences (0.05 level) prior to training. At the conclusion of training, the training group was significandy better in cardiovascular response to exercise and stuttering. Although physical training did not significantly aid the reduction of stuttering as measured in this study, training did cause an increased ability to adapt physiologically to physical stress and to the stress of stuttering.

The Effects of a Neutral Stimulus (Buzzer) on Motor Responses and Disfluencies in Normal Speakers

1969 ◽  
Vol 12 (1) ◽  
pp. 179-184 ◽  
Author(s):  
Richard R. Martin ◽  
Gerald M. Siegel
Keyword(s):  
College Students ◽  
Neutral Stimulus ◽  
Motor Responses ◽  
Control Subjects ◽  
And Control ◽  
Speaking Task

Seventy-two college students were divided into three groups: Button Push-Speech (BP-S), Speech-Button Push (S-BP), and Control. BP-S subjects pushed one of two buttons on signal for 8 min. During the last 4 min, depression of the criterion button caused a buzzer to sound. After the button-push task, subjects spoke spontaneously for 30 min. During the last 20 min, the buzzer was presented contingent upon each disfluency. S-BP subjects were run under the same procedures, but the order of button-push and speech tasks was reversed. Control subjects followed the same procedures as S-BP subjects, but no buzzer signal was presented at any time. Both S-BP and BP-S subjects emitted significantly fewer disfluencies during the last 20 min (Conditioning) than during the first 10 min (Baserate) of the speaking task. The frequency of disfluencies for Control subjects did not change significantly from Baserate to Conditioning. In none of the three groups did the frequency of pushes on the criterion button change significantly from minute to minute throughout the 8-min button-push session.

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