| Title |
Modeling Trajectories of Sensation Seeking and Impulsivity Dimensions from Early to Late Adolescence: Universal Trends or Distinct Sub-groups?
|
|---|---|
| Published in |
Journal of Youth and Adolescence, July 2018
|
| DOI | 10.1007/s10964-018-0891-9 |
| Pubmed ID | |
| Authors |
Atika Khurana, Daniel Romer, Laura M. Betancourt, Hallam Hurt |
| Abstract |
Developmental imbalance models attribute the rise in risk-taking during adolescence to a universal imbalance between rising reward sensitivity and lagging cognitive control. This study tested predictions of an alternate Lifespan Wisdom Model that distinguishes between exploratory/adaptive (e.g., sensation seeking) and maladaptive (e.g., acting-without-thinking, delay discounting) risk-taking propensities and attributes the latter to a sub-set of youth with weak cognitive control. Latent trajectory modeling of six waves of data from 387 adolescents (52% females; spanning average ages of 11-18 years) revealed distinct sub-groups with heterogeneous trajectory patterns for acting-without-thinking and delay-discounting. Only those trajectory groups with weak cognitive control, characterized as "high-increasing" acting-without thinking and "high-stable" delay discounting were predictive of a maladaptive risk-taking outcome, namely substance use disorder. Sensation seeking demonstrated a universal peak, but high levels of sensation seeking were not associated with weakness in cognitive control and were unrelated to substance use disorder, controlling for impulsivity. The findings suggest that maladaptive risk-taking characterized by weak cognitive control over reward-driven impulses is a phenomenon limited to only a sub-set of youth. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 107 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 18 | 17% |
| Student > Ph. D. Student | 17 | 16% |
| Student > Bachelor | 16 | 15% |
| Researcher | 13 | 12% |
| Student > Doctoral Student | 6 | 6% |
| Other | 12 | 11% |
| Unknown | 25 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 51 | 48% |
| Neuroscience | 7 | 7% |
| Social Sciences | 6 | 6% |
| Medicine and Dentistry | 4 | 4% |
| Nursing and Health Professions | 4 | 4% |
| Other | 4 | 4% |
| Unknown | 31 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 126. 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 20 March 2019.
All research outputs
#303,239
of 23,906,448 outputs
Outputs from Journal of Youth and Adolescence
#52
of 1,813 outputs
Outputs of similar age
#7,084
of 330,866 outputs
Outputs of similar age from Journal of Youth and Adolescence
#3
of 33 outputs
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