Childhood Characteristics of Adolescent Inpatients with Early-Onset and Adolescent-Onset Disruptive Behavior

Boer, Sjoukje Berdina Beike de; Oort, Floortje V. A. van; Donker, Marianne; Verheij, Fop; Boon, Albert

doi:10.1007/s10862-012-9283-8

Cited by 9 publications

(6 citation statements)

References 26 publications

(53 reference statements)

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“…Both of those groups begin their offending early in life, exit adolescence and enter emerging adulthood with high rates of antisocial behavior, which portends negative outcomes during adulthood including arrest (DeLisi 2006), psychological and mental health deficits (de Boer et al 2012), as well as multiple types of offending (Vaughn et al 2009;Cale and Lussier 2011). As discussed below, several negative life experiences, most importantly racial discrimination and exposure to delinquent peers, were important predictors of membership in these groups.…”

Section: Discussionmentioning

confidence: 99%

Factors that Influence Trajectories of Delinquency Throughout Adolescence

Evans

Simons

2014

J Youth Adolescence

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Given that one of the most powerful predictors of adult crime is the presence of behavior problems in childhood and adolescence, there is a need to further understand factors that determine behavior patterns during this developmental stage. This study focuses on stressful life experiences such as exposure to delinquent peers, racial discrimination, as well as family characteristics such as parenting style and family transitions. Data come from four waves of the Family and Community Health Survey, an African-American sample. The present study investigates 354 males from this dataset. We utilize a group-based trajectory model to estimate the number and type of trajectories of delinquency. We then estimate multinomial regression models to predict trajectory group membership. The results indicated that there were four distinct groups of offenders (negligible delinquents; early starter/declining; late starter; and early starter/chronic offenders). We predicted group membership using both early predictors and measures of change in these predictors across the study period. The results indicated that individuals who experience greater racial discrimination (both early in childhood and throughout adolescence) are more likely to be in trajectory groups that begin offending early and persist through adolescence. Additionally, those respondents who reported having friends with greater delinquent behavior were more likely to be in groups that began their offending early in life and persisted when compared to groups who started later or desisted as they entered adulthood. The results contribute to developmental research and provide information that may be helpful in preventing adolescents from persisting in antisocial behavior as they enter adulthood.

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Section: Discussionmentioning

confidence: 99%

Factors that Influence Trajectories of Delinquency Throughout Adolescence

Evans

Simons

2014

J Youth Adolescence

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“…The disruptive behaviour of the adolescent inpatients that were examined was categorised according to the framework of Frick et al (), and included aggression (i.e., homicide attempt, assault, robbery, physical abuse, sexual offences, threatening someone), oppositional behaviour (i.e., disobedient, doing things their own way, stubbornness), status offences (i.e. running away, truancy, substance usage), and property violations (i.e., selling drugs, lying, possession of weapons, stealing, setting fires, vandalism, fencing stolen goods, traffic offences; De Boer, Boon, Verheij, & Donker, ; De Boer, Van Oort, Donker, Verheij, & Boon, ; Frick et al, ). The categories of disruptive behaviour were used to compare the subgroups.…”

Section: Methodsmentioning

confidence: 99%

Treatment adherence in adolescent psychiatric inpatients with severe disruptive behaviour

Boer

Boon

Haan

et al. 2018

Clinical Psychologist

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Objective To examine pre‐treatment characteristics associated with dropout in 224 adolescent psychiatric inpatients (mean age 17.1 years) with severe disruptive behaviour. To date, little is known about the factors predicting dropout among adolescents treated for severe disruptive behaviour. This is surprising, as dropout is a major problem in this specific group. Method Dropouts (n = 77) and completers (n = 147) were compared on known risk factors for dropout, such as severity of externalising problems and disorders, ethnic minority status, male gender, and lower academic functioning, as well as on other factors considered relevant: behavioural characteristics, including age of onset and different types of disruptive behaviour. Within dropout, withdrawal (termination against the advice of the therapist; n = 40) and pushout (termination against the wish of the client; n = 37) were distinguished. Results Two characteristics significantly predicted dropout: early onset of disruptive behaviour and cannabis usage prior to treatment. Within the dropout group no differences were found between withdrawals and pushouts. Conclusions Predicting dropout among adolescent psychiatric inpatients with severe disruptive behaviour is difficult. The two predictors found were already present at the time of admission and are therefore considered unalterable. However, they can be used to pinpoint individuals with higher chance at dropout, who in turn can be offered tailored interventions aimed at improving the therapeutic relationship.

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“…Presence of disruptive behavior during childhood was determined based on the age when treatment was sought for disruptive behavior, or when special education was indicated due to this behavior, and the age at which the youngster started to commit criminal offences. The disruptive behavior was categorized according to the framework of Frick and colleagues () and included aggression (e.g., physical abuse, sexual offences), oppositional behavior (e.g., disobedient), status offences (e.g., truancy, substance abuse), and property violations (e.g., stealing, vandalism; De Boer, Boon, Verheij, & Donker, ; De Boer, Van Oort, Donker, Verheij, & Boon, ; Frick et al., ). The main researchers made the distinction in the EO and AO groups.…”

Section: Methodsmentioning

confidence: 99%

“…The earliest age reported by any source was used as the age of onset. Subsequently, patients with disruptive behavior starting prior to age 12 were considered belonging to the EO group, and those whose disruptive behavior started from age 12 on were considered belonging to the AO group (De Boer et al., , ; De Boer, Verheij, & Donker, ). Using age 12 as the cutoff was in accordance with Moffitt (Moffitt, ; Moffitt et al., ) and with Dean, Brame, and Piquero (), who found that differences between the EO and AO groups were only evident when the threshold was set at age 12.…”

Section: Methodsmentioning

confidence: 99%