| Title |
Comparing Different Approaches for Subtyping Children with Conduct Problems: Callous-Unemotional Traits Only Versus the Multidimensional Psychopathy Construct
|
|---|---|
| Published in |
Journal of Psychopathology and Behavioral Assessment, March 2018
|
| DOI | 10.1007/s10862-018-9653-y |
| Pubmed ID | |
| Authors |
Olivier F. Colins, Henrik Andershed, Randall T. Salekin, Kostas A. Fanti |
| Abstract |
The aim of this study was to compare two youth psychopathy models (i.e., callous-unemotional versus multidimensional model) in their ability to predict future and stable conduct problems (CP). At baseline, mothers and fathers of 321 boys and 369 girls (ages 7-12) completed measures that tap callous-unemotional and other psychopathic traits. Parent-reported CP was collected at baseline and at 6- and 12 month follow-ups. Children were assigned to mutually exclusive groups based on their levels of CP and psychopathic traits. Children with CP who manifested callous-unemotional traits (Callous-Unemotional + CP) were occasionally at risk for future and stable CP. Yet, across gender, children with CP scoring high on all psychopathic trait dimensions (Psychopathic Personality + CP) showed the most robust and highest risk for future and stable CP. Also, Callous-Unemotional + CP children, and children who were only high in CP, often were at similar risk for future CP. The findings suggest that the callous-unemotional model is less sufficient than the multidimensional model in predicting future and stable CP. This can be concluded for both boys and girls and calls for more research reconsidering the multidimensional nature of psychopathy for CP subtyping purposes. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 11 | 14% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Master | 10 | 13% |
| Researcher | 6 | 8% |
| Student > Doctoral Student | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 25 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 25 | 32% |
| Medicine and Dentistry | 7 | 9% |
| Social Sciences | 5 | 6% |
| Neuroscience | 3 | 4% |
| Engineering | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 27 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 March 2018.
All research outputs
#15,514,245
of 23,867,274 outputs
Outputs from Journal of Psychopathology and Behavioral Assessment
#370
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Outputs of similar age
#202,949
of 335,413 outputs
Outputs of similar age from Journal of Psychopathology and Behavioral Assessment
#21
of 23 outputs
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