Risk Assessment in Juvenile and Young Adult Offenders: Predictive Validity of the SAVRY and SAPROF-YV.
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ABSTRACT:
SUBMITTER: Kleeven ATH
PROVIDER: S-EPMC8796163 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionResearch has identified simulation-based training with chatbots and virtual avatars as an effective educational strategy in some domains, such as medicine and mental health disciplines. Several studies on interactive systems have also suggested that user experience is decisive for adoption. As interest increases, it becomes important to examine the factors influencing user acceptance and trust in simulation-based training systems, and to validate applicability to specific learning tasks. The aim of this research is twofold: (1) to examine the perceived acceptance and trust in a risk assessment training chatbot developed to help students assess risk and needs of juvenile offenders, and (2) to examine the factors influencing students' perceptions of acceptance and trust.MethodsParticipants were 112 criminology students in an undergraduate course in a Canadian university. Participants were directed to use a custom-designed chatbot with a virtual 3D avatar for juvenile offenders' risk assessment training, to complete online questionnaires and a risk assessment exercise.ResultsResults show satisfactory levels of acceptance and trust in the chatbot. Concerning acceptance, more than half appeared to be satisfied or very satisfied with the chatbot, while most participants appeared to be neutral or satisfied with the benevolence and credibility of the chatbot.DiscussionResults suggest that acceptance and trust do not only depend on the design of the chatbot software, but also on the characteristics of the user, and most prominently on self-efficacy, state anxiety, learning styles and neuroticism personality traits. As trust and acceptance play a vital role in determining technology success, these results are encouraging.
| S-EPMC10312240 | biostudies-literature
Project description:The FER-R, Risk and Resource Assessment Form, is a multidimensional inventory of structured professional judgment that assesses criminogenic risks and resources for the design and management of individualized intervention plans with criminally sanctioned adolescents. The aim of this study was to examine the psychometric properties of the FER-R, reviewing its factorial structure to contribute evidence of convergent and discriminant construct validity in a sample of adolescents sentenced for crimes in Chile. For each domain (risks and resources) with its respective facets, a unidimensional bifactor structure (CFA-BF) was obtained, with adequate indices of fit that confirmed its construct validity, while the convergent validity was demonstrated with the YLS/CMI and the divergent validity with two MACI scales. The FER-R adds factorial validity to the evidence of the previously reported predictive validity, making it a robust inventory for the evaluation of young offenders, and a relevant tool to manage differentiated interventions in Chile, with a high potential for use in Latin America. The importance of finding a suitable balance in assessing risks and protective factors is discussed, in order to manage interventions adjusted to the needs of the adolescents to promote their criminal desistance.
| S-EPMC8775762 | biostudies-literature
Project description:Few studies have assessed acute dynamic risk repeatedly among paroled offenders to investigate the relationship between changes in acute dynamic risk and recidivism in crime. The present study investigates whether one-month changes in ten stress-related acute dynamic risk factors, collected through automated telephony while the participants were still in prison and over 30 consecutive days following parole, predict one-year criminal recidivism, including its predictive accuracy. The study also investigates whether a brief feedback intervention in conjunction with the daily assessments reduces recidivism compared to an assessment-only control group. Changes in five risk factors were found to be associated with increased risk of criminal recidivism after controlling for the results in prison, the initial value after parole, and the intervention. The predictive accuracy is marginally accurate: Summary score (AUC) = .666; Level of stress (AHSS) = .644; Psychiatric symptoms (SCL-8D) = .641; Anxiety symptoms = .673; Severity of most stressful daily event = .690. No differences in one-year recidivism rates were established between the intervention group and the control group. The study shows that daily assessments can usefully be made of dynamic risk factors in paroled offenders.
| S-EPMC6820061 | biostudies-literature
Project description:ObjectiveTo examine several risk and protective factors as predictors of future gun violence among male juvenile offenders.MethodData came from a longitudinal cohort of 1,170 male juvenile offenders (42.1% Black; 34.0% Latino; 19.2% White) ages 14-19 who were adjudicated for a serious offense. Interviews were conducted with participants every 6 months for 3 years and then annually for 4 years. The outcome was self-reported gun violence assessed at each follow-up. The time-lagged predictors included several self-reported risk factors (i.e., gun carrying, non-gun violence, drug dealing, heavy drinking, poor impulse control, rewards for crime, peer gun carrying, peer non-gun delinquency, gang membership) and protective factors (i.e., concern for others, expectations, and aspirations for work/family, religious beliefs, adult social supports). The data were analyzed using generalized estimating equation models.ResultsThere were 266 participants who reported engaging in gun violence at one or more assessments. Gun carrying was a significant predictor of future gun violence; however, nearly half (49%) of the juveniles who reported gun carrying across the repeated assessments did not report engaging in gun violence. Besides gun carrying, several risk (i.e., drug dealing, heavy drinking, rewards for crime, gang membership, peer gun carrying) and protective (i.e., concern for others, aspirations for work/family, religious beliefs, adult social supports) factors significantly predicted gun violence, after controlling for their co-occurrence (Risk factor odds ratios = 1.18-1.50; Protective factor odds ratios =.44-.87; ps<.05).ConclusionsInterventions designed to prevent gun violence among juvenile offenders should reduce targeted risk factors, while strengthening protective factors that may offset these risks.
| S-EPMC8925316 | biostudies-literature
Project description:To evaluate relative accuracy of a newly developed Stroke Assessment of Fall Risk (SAFR) for classifying fallers and non-fallers, compared with a health system fall risk screening tool, the Fall Harm Risk Screen.Prospective quality improvement study conducted at an inpatient stroke rehabilitation unit at a large urban university hospital.Patients admitted for inpatient stroke rehabilitation (N = 419) with imaging or clinical evidence of ischemic or hemorrhagic stroke, between 1 August 2009 and 31 July 2010.Not applicable.Sensitivity, specificity, and area under the curve for Receiver Operating Characteristic Curves of both scales' classifications, based on fall risk score completed upon admission to inpatient stroke rehabilitation.A total of 68 (16%) participants fell at least once. The SAFR was significantly more accurate than the Fall Harm Risk Screen (p < 0.001), with area under the curve of 0.73, positive predictive value of 0.29, and negative predictive value of 0.94. For the Fall Harm Risk Screen, area under the curve was 0.56, positive predictive value was 0.19, and negative predictive value was 0.86. Sensitivity and specificity of the SAFR (0.78 and 0.63, respectively) was higher than the Fall Harm Risk Screen (0.57 and 0.48, respectively).An evidence-derived, population-specific fall risk assessment may more accurately predict fallers than a general fall risk screen for stroke rehabilitation patients. While the SAFR improves upon the accuracy of a general assessment tool, additional refinement may be warranted.
| S-EPMC4229409 | biostudies-literature
Project description:Teenagers are often impulsive. In some cases this is a phase of normal development; in other cases impulsivity contributes to criminal behavior. Using functional magnetic resonance imaging, we examined resting-state functional connectivity among brain systems and behavioral measures of impulsivity in 107 juveniles incarcerated in a high-security facility. In less-impulsive juveniles and normal controls, motor planning regions were correlated with brain networks associated with spatial attention and executive control. In more-impulsive juveniles, these same regions correlated with the default-mode network, a constellation of brain areas associated with spontaneous, unconstrained, self-referential cognition. The strength of these brain-behavior relationships was sufficient to predict impulsivity scores at the individual level. Our data suggest that increased functional connectivity of motor-planning regions with networks subserving unconstrained, self-referential cognition, rather than those subserving executive control, heightens the predisposition to impulsive behavior in juvenile offenders. To further explore the relationship between impulsivity and neural development, we studied functional connectivity in the same motor-planning regions in 95 typically developing individuals across a wide age span. The change in functional connectivity with age mirrored that of impulsivity: younger subjects tended to exhibit functional connectivity similar to the more-impulsive incarcerated juveniles, whereas older subjects exhibited a less-impulsive pattern. This observation suggests that impulsivity in the offender population is a consequence of a delay in typical development, rather than a distinct abnormality.
| S-EPMC3131347 | biostudies-literature
Project description:A vast literature has found longitudinal effects of early life stress on substance use and self-regulatory processes. These associations may vary by period-specific development among youth involved in the juvenile justice system. The current study used an accelerated longitudinal design and auto-regressive latent trajectory with structure residuals (ALT-SR) model to examine the within-person cross-lagged associations between binge drinking, impulse control, and victimization from 15 to 25 years of age. A large sample (N = 1100) of justice-involved youth were followed longitudinally for 7 years (M age baseline = 15.8, M age conclusion = 22.8). In general, the sample was ethnically diverse (41% Black, 34% Hispanic, 21% White, 4.3% Other) and primarily male (87.2%). Participants reported on their frequency of binge drinking, impulse control, and frequency of victimization at each time point. The results indicated that, during adolescence, victimization and binge drinking attenuated impulse control, which resulted in more binge drinking and victimization during young adulthood. The current study highlights the importance of assessing developmental processes and period-specific transitions among at risk youth, especially for youth experiencing early life stress.
| S-EPMC8009312 | biostudies-literature
Project description:ImportanceThe ability of present-day etiologic stroke classification systems to generate subtypes with discrete stroke characteristics is not known.ObjectiveTo test the hypothesis that etiologic stroke subtyping identifies different disease processes that can be recognized through their different clinical courses.Design, setting, and participantsWe performed a head-to-head evaluation of the ability of the Causative Classification of Stroke (CCS), Trial of Org 10172 in Acute Stroke Treatment (TOAST), and ASCO (A for atherosclerosis, S for small-vessel disease, C for cardiac source, and O for other cause) classification systems to generate etiologic subtypes with different clinical, imaging, and prognostic characteristics in 1816 patients with ischemic stroke. This study included 2 cohorts recruited at separate periods; the first cohort was recruited between April 2003 and June 2006 and the second between June 2009 and December 2011. Data analysis was performed between June 2014 and May 2016.Main outcomes and measuresSeparate teams of stroke-trained neurologists performed CCS, TOAST, and ASCO classifications based on information available at the time of hospital discharge. We assessed the association between etiologic subtypes and stroke characteristics by computing receiver operating characteristic curves for binary variables (90-day stroke recurrence and 90-day mortality) and by calculating the ratio of between-category to within-category variability from the analysis of variance for continuous variables (admission National Institutes of Health Stroke Scale score and acute infarct volume).ResultsAmong the 1816 patients included, the median age was 70 years (interquartile range, 58-80 years) (830 women [46%]). The classification systems differed in their ability to assign stroke etiologies into known subtypes; the size of the undetermined category was 33% by CCS, 53% by TOAST, and 42% by ASCO (P < .001 for all binary comparisons). All systems provided significant discrimination for the validation variables tested. For the primary validation variable (90-day recurrence), the area under the receiver operating characteristic curve was 0.71 (95% CI, 0.66-0.75) for CCS, 0.61 (95% CI, 0.56-0.67) for TOAST, and 0.66 (95% CI, 0.60-0.71) for ASCO (P = .01 for CCS vs ASCO; P < .001 for CCS vs TOAST; P = .13 for ASCO vs TOAST). The classification systems exhibited similar discrimination for 90-day mortality. For admission National Institutes of Health Stroke Scale score and acute infarct volume, CCS generated more distinct subtypes with higher between-category to within-category variability than TOAST and ASCO.Conclusions and relevanceOur findings suggest that the major etiologic stroke subtypes are distinct categories with different stroke characteristics irrespective of the classification system used to identify them. We further show that CCS generates discrete etiologic categories with more diverse clinical, imaging, and prognostic characteristics than either TOAST or ASCO.
| S-EPMC5470360 | biostudies-literature
Project description:Since the historical conception of psychopathy, researchers have been interested in understanding moral functioning among psychopathic individuals. The present study investigated the association between psychopathic traits and moral intuitions among incarcerated juvenile offenders (N = 178). Participants were assessed using the Psychopathy Checklist:Youth Version (Forth et al., 2003) and the Moral Foundations Questionnaire (Graham et al., 2011), which defines five core moral foundations: Harm/care, Fairness/reciprocity, Ingroup/loyalty, Authority/respect, and Purity/sanctity. As expected, psychopathy in juvenile offenders negatively predicted endorsement of all five foundations. This study is the first to demonstrate broad abnormalities in Haidt et al.'s moral foundations in a juvenile sample and can help explain delinquent behavior in juveniles with psychopathic traits. Implications for theories of psychopathy are discussed.
| S-EPMC7295123 | biostudies-literature
Project description:Having valid and reliable resting energy expenditure (REE) estimations is crucial to establish reachable goals for dietary and exercise interventions. However, most of the REE predictive equations were developed some time ago and, as the body composition of the current population has changed, it is highly relevant to assess the validity of REE predictive equations in contemporary young adults. In addition, little is known about the role of sex and weight status on the validity of these predictive equations. Therefore, this study aimed to investigate the role of sex and weight status in congruent validity of REE predictive equations in young adults. A total of 132 young healthy adults (67.4% women, 18⁻26 years old) participated in the study. We measured REE by indirect calorimetry strictly following the standard procedures, and we compared it to 45 predictive equations. The most accurate equations were the following: (i) the Schofield and the "Food and Agriculture Organization of the United Nations/World Health Organization/United Nations" (FAO/WHO/UNU) equations in normal weight men; (ii) the Mifflin and FAO/WHO/UNU equations in normal weight women; (iii) the Livingston and Korth equations in overweight men; (iv) the Johnstone and Frankenfield equations in overweight women; (v) the Owen and Bernstein equations in obese men; and (vi) the Owen equation in obese women. In conclusion, the results of this study show that the best equation to estimate REE depends on sex and weight status in young healthy adults.
| S-EPMC6413219 | biostudies-literature