| Title |
Heritability of Delay Discounting in Adolescence: A Longitudinal Twin Study
|
|---|---|
| Published in |
Behavior Genetics, August 2010
|
| DOI | 10.1007/s10519-010-9384-7 |
| Pubmed ID | |
| Authors |
Andrey P. Anokhin, Simon Golosheykin, Julia D. Grant, Andrew C. Heath |
| Abstract |
Delay discounting (DD) refers to the preference for smaller immediate rewards over larger but delayed rewards, and is considered to be a distinct component of a broader "impulsivity" construct. Although greater propensity for discounting the value of delayed gratification has been associated with a range of problem behaviors and substance abuse, particularly in adolescents, the origins of individual differences in DD remain unclear. We examined genetic and environmental influences on a real-life behavioral measure of DD using a longitudinal twin design. Adolescent participants were asked to choose between a smaller ($7) reward available immediately and a larger ($10) reward to be received in 7 days. Biometrical genetic analysis using linear structural equation modeling showed significant heritability of DD at ages 12 and 14 (30 and 51%, respectively) and suggested that the same genetic factors influenced the trait at both ages. DD was significantly associated with symptoms of conduct disorder, attention deficit hyperactivity disorder, substance use, and with higher novelty seeking and poor self-regulation. This study provides the first evidence for heritability of DD in humans and suggests that DD can be a promising endophenotype for genetic studies of addiction and externalizing disorders. |
Mendeley readers
The data shown below were compiled from readership statistics for 305 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 2% |
| United Kingdom | 3 | <1% |
| Australia | 2 | <1% |
| Italy | 1 | <1% |
| Unknown | 294 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 64 | 21% |
| Student > Master | 35 | 11% |
| Researcher | 34 | 11% |
| Student > Bachelor | 27 | 9% |
| Student > Doctoral Student | 22 | 7% |
| Other | 69 | 23% |
| Unknown | 54 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 136 | 45% |
| Neuroscience | 18 | 6% |
| Medicine and Dentistry | 17 | 6% |
| Agricultural and Biological Sciences | 12 | 4% |
| Social Sciences | 11 | 4% |
| Other | 34 | 11% |
| Unknown | 77 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 18 June 2023.
All research outputs
#5,552,629
of 25,769,258 outputs
Outputs from Behavior Genetics
#275
of 980 outputs
Outputs of similar age
#22,919
of 106,146 outputs
Outputs of similar age from Behavior Genetics
#4
of 9 outputs
Altmetric has tracked 25,769,258 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 980 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 70% of its peers.
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We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.