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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Adolescent Executive Dysfunction in Daily Life: Relationships to Risks, Brain Structure and Substance Use
|
|---|---|
| Published in |
Frontiers in Behavioral Neuroscience, November 2017
|
| DOI | 10.3389/fnbeh.2017.00223 |
| Pubmed ID | |
| Authors |
Duncan B. Clark, Tammy Chung, Christopher S. Martin, Brant P. Hasler, Douglas H. Fitzgerald, Beatriz Luna, Sandra A. Brown, Susan F. Tapert, Ty Brumback, Kevin Cummins, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl, Ian M. Colrain, Fiona C. Baker, Michael D. De Bellis, Kate B. Nooner, Bonnie J. Nagel |
| Abstract |
During adolescence, problems reflecting cognitive, behavioral and affective dysregulation, such as inattention and emotional dyscontrol, have been observed to be associated with substance use disorder (SUD) risks and outcomes. Prior studies have typically been with small samples, and have typically not included comprehensive measurement of executive dysfunction domains. The relationships of executive dysfunction in daily life with performance based testing of cognitive skills and structural brain characteristics, thought to be the basis for executive functioning, have not been definitively determined. The aims of this study were to determine the relationships between executive dysfunction in daily life, measured by the Behavior Rating Inventory of Executive Function (BRIEF), cognitive skills and structural brain characteristics, and SUD risks, including a global SUD risk indicator, sleep quality, and risky alcohol and cannabis use. In addition to bivariate relationships, multivariate models were tested. The subjects (n = 817; ages 12 through 21) were participants in the National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA) study. The results indicated that executive dysfunction was significantly related to SUD risks, poor sleep quality, risky alcohol use and cannabis use, and was not significantly related to cognitive skills or structural brain characteristics. In multivariate models, the relationship between poor sleep quality and risky substance use was mediated by executive dysfunction. While these cross-sectional relationships need to be further examined in longitudinal analyses, the results suggest that poor sleep quality and executive dysfunction may be viable preventive intervention targets to reduce adolescent substance use. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United Kingdom | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 145 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 145 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 14% |
| Student > Ph. D. Student | 18 | 12% |
| Student > Bachelor | 16 | 11% |
| Student > Doctoral Student | 13 | 9% |
| Researcher | 12 | 8% |
| Other | 22 | 15% |
| Unknown | 43 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 50 | 34% |
| Neuroscience | 14 | 10% |
| Medicine and Dentistry | 8 | 6% |
| Nursing and Health Professions | 7 | 5% |
| Agricultural and Biological Sciences | 2 | 1% |
| Other | 11 | 8% |
| Unknown | 53 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 27 November 2017.
All research outputs
#15,505,465
of 26,020,829 outputs
Outputs from Frontiers in Behavioral Neuroscience
#1,734
of 3,489 outputs
Outputs of similar age
#176,795
of 340,282 outputs
Outputs of similar age from Frontiers in Behavioral Neuroscience
#40
of 71 outputs
Altmetric has tracked 26,020,829 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,489 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 49th percentile – i.e., 49% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 340,282 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.