| Title |
Childhood Predictors and Adult Life Success of Adolescent Delinquency Abstainers
|
|---|---|
| Published in |
Research on Child and Adolescent Psychopathology, August 2015
|
| DOI | 10.1007/s10802-015-0061-4 |
| Pubmed ID | |
| Authors |
N. Mercer, D. P. Farrington, M. M. Ttofi, L. Keijsers, S. Branje, W. Meeus |
| Abstract |
While much is known about adolescent delinquency, considerably less attention has been given to adolescent delinquency abstention. Understanding how or why some adolescents manage to abstain from delinquency during adolescence is informative for understanding and preventing adolescent (minor) delinquency. Using data from the Cambridge Study in Delinquent Development (N = 411 males) to compare abstainers, self-report delinquents and convicted delinquents we found five childhood factors (ages 8-10) that predicted adolescent abstention (ages 10-18). First, we find that adolescent abstainers possess characteristics opposite to those of convicted delinquents (namely, abstainers are high on honesty, conformity and family income). However, we also found that abstainers also share some childhood characteristics with convicted delinquents (namely, low popularity and low school achievement). A latent class analysis indicated that the mixed factors predicting abstention can be accounted for by two groups of abstainers: an adaptive group characterized by high honesty, and a maladaptive group characterized by low popularity and low school achievement. Further, validation of these two types of abstainers using data collected at age 48 suggested that adaptive abstainers outperform all other adolescents in general life success, whereas maladaptive abstainers only fare better than delinquent adolescents in terms of lower substance use and delinquency later in life. |
Mendeley readers
The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 85 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 16% |
| Student > Master | 9 | 11% |
| Researcher | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Doctoral Student | 6 | 7% |
| Other | 17 | 20% |
| Unknown | 25 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 37 | 44% |
| Social Sciences | 10 | 12% |
| Medicine and Dentistry | 4 | 5% |
| Nursing and Health Professions | 1 | 1% |
| Economics, Econometrics and Finance | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 28 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 August 2016.
All research outputs
#17,286,379
of 25,374,917 outputs
Outputs from Research on Child and Adolescent Psychopathology
#1,411
of 2,047 outputs
Outputs of similar age
#165,527
of 276,165 outputs
Outputs of similar age from Research on Child and Adolescent Psychopathology
#20
of 29 outputs
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