Academic literature on the topic 'Adolescent Behavior – classification'
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Journal articles on the topic "Adolescent Behavior – classification"
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Berard, Michael, and Ralph Mason Dreger. "Prediction of Recreational Therapy Behavior of Hospitalized Adolescents from a Behavior Classification Instrument." Psychological Reports 75, no. 3_suppl (1994): 1603–18. http://dx.doi.org/10.2466/pr0.1994.75.3f.1603.
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The purpose of this study was to estimate the validity of an instrument of the Adolescent Behavioral Classification Project in predicting behavior patterns of emotionally disturbed adolescents in an inpatient setting. Subjects ( n = 126) were adolescents admitted to a state residential treatment unit across a period of 35 months. Predictor variables were scores on 17 or 25 factors of the instrument from both adolescents' own responses and their mothers' responses on their behalf. Criterion variables were 10 recreational therapy factors, especially 4 temporally stable factors, and length-of-time in treatment. 3 phases of the project were (I) behavior during initial stages of the therapy, (II) behavioral change after 3 months of therapy, and (III) length-of-time in treatment. In Phase I, both mothers' and adolescents' responses produced significant correlations with criteria; however, in Phase II only the adolescent students' 25 ABCP factors predicted behavioral change. In Phase III, adolescents' responses but not their mothers' responses classified the adolescents by length-of-time in treatment.
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Westen, Drew, Lissa Dutra, and Jonathan Shedler. "Assessing adolescent personality pathology." British Journal of Psychiatry 186, no. 3 (2005): 227–38. http://dx.doi.org/10.1192/bjp.186.3.227.
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BackgroundPersonality pathology constitutes a major form of psychopathology in adolescents.AimsTo examine the reliability and validity of a Q-sort instrument for assessing adolescent personality pathology designed for clinically experienced informants.MethodA sample of 294 randomly selected psychiatrists and psychologists each provided data on a current patient, aged 14–18 years. Clinicians completed several measures, including the Shedler–Westen Assessment Procedure for Adolescents (SWAP–200–A).ResultsFactor analysis identified II dimensions of adolescent personality: psychopathology/malignant narcissism, dysphoria/inhibition, psychological health, histrionic sexualisation, schizotypy, sexual conflict, emotional dysregulation, anxious obsessionality, peer rejection, delinquent behaviour and attentional dysregulation. These correlated in predicted ways with a range of criterion variables, including measures of adaptive functioning, Axis II pathology, the Five Factor Model and the Child Behavior Checklist.ConclusionsThe SWAP–200–A shows promise as an instrument for assessing personality pathology in adolescents. Trait dimensions such as delinquent behaviour and emotional dysregulation may prove useful additions to a classification of personality.
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Stamm, Raini, Meelis Stamm, and Säde Koskel. "Adolescent female volleyballers’ (aged 13-15 years) body build classification and proficiency in competitions." Anthropologischer Anzeiger 64, no. 4 (2006): 423–33. http://dx.doi.org/10.1127/anthranz/64/2006/423.
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Chew, Robert, Caroline Kery, Laura Baum, Thomas Bukowski, Annice Kim, and Mario Navarro. "Predicting Age Groups of Reddit Users Based on Posting Behavior and Metadata: Classification Model Development and Validation." JMIR Public Health and Surveillance 7, no. 3 (2021): e25807. http://dx.doi.org/10.2196/25807.
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Background Social media are important for monitoring perceptions of public health issues and for educating target audiences about health; however, limited information about the demographics of social media users makes it challenging to identify conversations among target audiences and limits how well social media can be used for public health surveillance and education outreach efforts. Certain social media platforms provide demographic information on followers of a user account, if given, but they are not always disclosed, and researchers have developed machine learning algorithms to predict social media users’ demographic characteristics, mainly for Twitter. To date, there has been limited research on predicting the demographic characteristics of Reddit users. Objective We aimed to develop a machine learning algorithm that predicts the age segment of Reddit users, as either adolescents or adults, based on publicly available data. Methods This study was conducted between January and September 2020 using publicly available Reddit posts as input data. We manually labeled Reddit users’ age by identifying and reviewing public posts in which Reddit users self-reported their age. We then collected sample posts, comments, and metadata for the labeled user accounts and created variables to capture linguistic patterns, posting behavior, and account details that would distinguish the adolescent age group (aged 13 to 20 years) from the adult age group (aged 21 to 54 years). We split the data into training (n=1660) and test sets (n=415) and performed 5-fold cross validation on the training set to select hyperparameters and perform feature selection. We ran multiple classification algorithms and tested the performance of the models (precision, recall, F1 score) in predicting the age segments of the users in the labeled data. To evaluate associations between each feature and the outcome, we calculated means and confidence intervals and compared the two age groups, with 2-sample t tests, for each transformed model feature. Results The gradient boosted trees classifier performed the best, with an F1 score of 0.78. The test set precision and recall scores were 0.79 and 0.89, respectively, for the adolescent group (n=254) and 0.78 and 0.63, respectively, for the adult group (n=161). The most important feature in the model was the number of sentences per comment (permutation score: mean 0.100, SD 0.004). Members of the adolescent age group tended to have created accounts more recently, have higher proportions of submissions and comments in the r/teenagers subreddit, and post more in subreddits with higher subscriber counts than those in the adult group. Conclusions We created a Reddit age prediction algorithm with competitive accuracy using publicly available data, suggesting machine learning methods can help public health agencies identify age-related target audiences on Reddit. Our results also suggest that there are characteristics of Reddit users’ posting behavior, linguistic patterns, and account features that distinguish adolescents from adults.
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Pawloski, Lisa R., and Panagiota Kitsantas. "Classification tree analysis of stunting in Malian adolescent girls." American Journal of Human Biology 20, no. 3 (2008): 285–91. http://dx.doi.org/10.1002/ajhb.20716.
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Everhart Newman, Jan L., Jessica L. Larsen, Kelli Thompson, Melissa Cyperski, and Barry R. Burkhart. "Heterogeneity in Male Adolescents With Illegal Sexual Behavior: A Latent Profile Approach to Classification." Sexual Abuse 31, no. 7 (2018): 789–811. http://dx.doi.org/10.1177/1079063218784554.
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Current research has established that male adolescents with illegal sexual behavior (AISB) are a heterogeneous population. We aimed to explore this within-group heterogeneity to derive clinically relevant groups of AISB using the Millon Adolescent Clinical Inventory (MACI). We then compared these groups on selected covariates (age at intake, minority status, and child maltreatment history) and distal outcomes (general, nonviolent, violent, drug, and sexual recidivism 5 years after release) to identify any differences. The sample consisted of 698 male AISB (age = 11-20 years) referred to a secure juvenile facility for assessment and treatment. A latent profile analysis (LPA) was conducted using the clinical and personality scales of the MACI to identify AISB groups and examine group differences. Four unique AISB groups emerged: Anxious, Depressed/Anxious, Dysthymic/Disorganized, and Antisocial. Groups differed on age at intake and child maltreatment history, but not minority status. At 5-year follow up, groups differed in their rates of general, nonsexual, and violent recidivism but not in their rates of sexual or drug recidivism. Clinically relevant AISB groups can be identified using personality and psychopathology indicators from the MACI. Implications for the assessment and treatment of AISB, as well as directions for future research are discussed.
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., Nyoto, Nicholas Renaldo, Gunasegaran Karuppannan, Abul Bashar Bhuiyan, and Mokana Muthu Kumarasamy. "THE DETERMINANCE OF THE FINANCIAL BEHAVIOR AMONG GRADUATE STUDENTS IN INDONESIA." Australian Finance & Banking Review 5, no. 1 (2021): 29–42. http://dx.doi.org/10.46281/afbr.v5i1.1009.
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The lifestyle of adolescents who migrate to work and college will largely determine their future. Concerns about economic conditions can cause problems with their behavior. This research has aimed to explore the most influential factors on Financial Behavior among graduate students in Indonesia. The Primary data collected by distributing questionnaires using a Likert scale. There are 239 samples have collected based on the combination of purposive and convenience sampling methods. The study used descriptive statistical techniques and path analysis techniques for data analysis. Based on path analysis results, study findings indicate that there is a significant influence of financial knowledge on financial self-efficacy; financial self-efficacy and financial knowledge on financial behavior; financial attitude and financial self-efficacy on financial behavior but there is no significant influence of financial knowledge on financial behavior. The study results also showed that adolescent habits are still not good but can be improved through education such as character education and achievement of a better motivation to deal with economic problems. The study recommended that the good habits can be passed on to friends of his age, especially adolescents so they can have a good future.
 JEL Classification Codes: F36, G02, A23.
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Ramos, Pilar, Carmen Moreno, Francisco Rivera, and Ana López. "The Classification of Spanish Adolescents Based on Substance Consumption Patterns and the Analysis of the Relationships within their Social Developmental Contexts." Spanish journal of psychology 14, no. 2 (2011): 734–45. http://dx.doi.org/10.5209/rev_sjop.2011.v14.n2.21.
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This research is part of the 2006 edition of the Health Behavior in School-aged Children (HBSC) study. The data presented were composed of a sample of 15942 Spanish adolescents ranging from 13 to 18 years of age. The instruments used included a variety of questions related to substance consumption among adolescents, their bio-psycho-social adjustment and developmental contexts, all of which are part of the HBSC study instrument bank. Through classification analysis, as well as significance and effect size tests, we obtained relevant information about the current epidemiology of substance consumption among Spanish adolescents. These results are representative of the Spanish adolescent population which allows the typical risk profile attributed to young people to be clarified. A gradual adjustment can be seen in terms of substance consumption levels in youth and that same level in their friends. Likewise, the analysis of the developmental context (family, friends and school) provides important information when it comes to preventing substance consumption, thus showing the advantages that coherence and connection have between the different environments where youth live, grow up and develop.
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Hinshaw, Stephen P., Benjamin B. Lahey, and Elizabeth L. Hart. "Issues of taxonomy and comorbidity in the development of conduct disorder." Development and Psychopathology 5, no. 1-2 (1993): 31–49. http://dx.doi.org/10.1017/s0954579400004247.
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AbstractA developmental approach to the classification of antisocial behavior is necessary for two reasons. First, although the continuity of antisocial behavior is strong for many individuals, the topography of antisocial behavior changes during the course of development. Second, antisocial behavior apparently develops in at least two separate pathways — child-onset versus adolescent-onset — that differ markedly regarding types of antisocial behavior displayed, persistence, and perhaps etiology. The development of antisocial behavior must also be understood within the context of co-occurring disorders and conditions. Comorbid attention-deficit hyperactivity disorder appears to be associated with greater aggression and a worse prognosis, and comorbid academic underachievement is also associated with a negative course. Emerging evidence also suggests that comorbid anxiety disorder is associated with level of aggression, but the direction of the correlation appears to differ at different ages. In all, full understanding of conduct disorder requires developmentally sensitive classification as well as consideration of comorbid conditions.
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Rosolen, Angelo, Sherrie L. Perkins, C. Ross Pinkerton, et al. "Revised International Pediatric Non-Hodgkin Lymphoma Staging System." Journal of Clinical Oncology 33, no. 18 (2015): 2112–18. http://dx.doi.org/10.1200/jco.2014.59.7203.
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Purpose Treatment and prognosis of pediatric non-Hodgkin lymphoma (NHL) have improved dramatically in the last 30 years. However, the St Jude NHL staging classification for pediatric NHL was developed more than 35 years ago. The most recent Lugano lymphoma staging classification focused on adult lymphoma. Furthermore, major limitations of the current pediatric NHL staging classification include lack of consideration of new distinct pediatric NHL histologic entities; absence of recognition of frequent skin, bone, kidney, ovarian, and other organ involvement; and lack of newer precise methods to detect bone marrow and CNS involvement, minimal disease quantification, and highly sensitive imaging technologies. Methods An international multidisciplinary expert panel convened in Frankfurt, Germany, in 2009 at the Third International Childhood, Adolescent and Young Adult NHL Symposium to develop a revised international pediatric NHL staging system (IPNHLSS), addressing limitations of the current pediatric NHL staging system and creating a revised classification. Evidence-based disease distribution and behavior were reviewed from multiple pediatric cooperative group NHL studies. Results A revised IPNHLSS was developed incorporating new histologic entities, extranodal dissemination, improved diagnostic methods, and advanced imaging technology. Conclusion This revised IPNHLSS will facilitate more precise staging for children and adolescents with NHL and facilitate comparisons of efficacy across different treatment strategies, various institutions, multicenter trials, and cooperative groups by allowing for reproducible pediatric-based staging at diagnosis and relapse.
Dissertations / Theses on the topic "Adolescent Behavior – classification"
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Frissell, Kevin C. "Characteristics of substance use situations for adolescents with comorbid disorders a comparison of adult and adolescent classification systems /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2007. http://wwwlib.umi.com/cr/ucsd/fullcit?p3273479.
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Thesis (Ph. D.)--University of California, San Diego and San Diego State University, 2007.<br>Title from first page of PDF file (viewed September 4, 2007). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 85-90).
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Bluschke, Annet, Krutika Gohil, Maxi Petzold, Veit Roessner, and Christian Beste. "Neural mechanisms underlying successful and deficient multi-component behavior in early adolescent ADHD." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-234901.
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Attention Deficit Hyperactivity Disorder (ADHD) is a disorder affecting cognitive control. These functions are important to achieve goals when different actions need to be executed in close succession. This type of multi-component behavior, which often further requires the processing of information from different modalities, is important for everyday activities. Yet, possible changes in neurophysiological mechanisms have not been investigated in adolescent ADHD. We examined N = 31 adolescent ADHD patients and N = 35 healthy controls (HC) in two Stop-Change experiments using either uni-modal or bi-modal stimuli to trigger stop and change processes. These stimuli were either presented together (SCD0) or in close succession of 300 milliseconds (SCD300). Using event-related potentials (ERP), EEG data decomposition and source localization we analyzed neural processes and functional neuroanatomical correlates of multicomponent behavior. Compared to HCs, ADHD patients had longer reaction times and higher error rates when Stop and Change stimuli were presented in close succession (SCD300), but not when presented together (SCD0). This effect was evident in the uni-modal and bi-modal experiment and is reflected by neurophysiological processes reflecting response selection mechanisms in the inferior parietal cortex (BA40). These processes were only detectable after accounting for intra-individual variability in neurophysiological data; i.e. there were no effects in standard ERPs. Multi-component behavior is not always deficient in ADHD. Rather, modulations in multi-component behavior depend on a critical temporal integration window during response selection which is associated with functioning of the inferior parietal cortex. This window is smaller than in HCs and independent of the complexity of sensory input.
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Huber, Brenda J. Creasey Gary. "An examination of variables of social-information processing in young women with differing attachment classifications." Normal, Ill. Illinois State University, 2002. http://wwwlib.umi.com/cr/ilstu/fullcit?p3088023.
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Thesis (Ph. D.)--Illinois State University, 2002.<br>Title from title page screen, viewed January 5, 2006. Dissertation Committee: Gary Creasey (chair), Mary Campbell, Matthew Hesson-McInnis, Alvin House, Glenn Reeder. Includes bibliographical references (leaves 93-110) and abstract. Also available in print.
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Walther, Mireille, and Anja Hilbert. "Temperament dispositions, problematic eating behaviours, and overweight in adolescents." European eating disorders review (2015) 24, 1, S. 19–25, 2015. https://ul.qucosa.de/id/qucosa%3A14810.
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Obesity, a common health condition in adolescence leading to severe medical complications, is assumed to be influenced by temperament factors. This paper investigates associations between reactive and regulative temperament, problematic eating behaviours, and excess weight. Several self-report instruments were completed by 130 adolescents (mean age 14.13 ± 0.61 years), including 27 overweight and obese individuals (20.8%). Bootstrap analysis revealed a mediating effect of restrained eating on the relation between reactive temperament and body mass index percentile, which differed according to gender: Restrained eating, which predicted weight gain, was more present in girls having a higher sensitivity to reward and in boys showing a higher sensitivity to punishment. No effect of regulative temperament was found. These results have important implications for weight management programs, as they suggest that reducing restrained eating by working on temperament may help to control weight.
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Walther, Mireille, and Anja Hilbert. "Emotional openness, problematic eating behaviours, and overweight in adolescents." Eating behaviors (2015)17, S. 111-114, 2015. https://ul.qucosa.de/id/qucosa%3A14809.
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Overweight, a common health condition in adolescence, has been linked with difficulties in emotional processing. This study investigates associations between emotional processing, conceptualised through the model of Emotional Openness (EO), problematic eating behaviours, including Eating in the Absence of Hunger and disinhibited eating, and overweight in adolescents. Several self-report instruments were completed by 160 youngsters (mean age: 14.36 ± 0.61 years) from the community, including 39 overweight and obese adolescents (24.5%). In girls, bootstrap analyses supported a mediating effect of restrained eating on the relation between three EO dimensions and body mass index percentile, in particular the communication of emotions, the cognitive-conceptual representation of emotions, and the perception of bodily indicator of emotions. No mediating effect was found in boys. These results have important implications for psychological weight management interventions, as they underline the relevance of work on emotional processing in order to reduce problematic eating behaviours.
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Czerniak, Suzanne M. "ADHD-200 Patient Characterization and Classification using Resting State Networks: A Dissertation." eScholarship@UMMS, 2014. http://escholarship.umassmed.edu/gsbs_diss/706.
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Attention Deficit/Hyperactivity Disorder (ADHD) is a common psychiatric disorder of childhood that is characterized by symptoms of inattention, impulsivity/hyperactivity, or a combination of both. Intrinsic brain dysfunction in ADHD can be examined through various methods including resting state functional Magnetic Resonance Imaging (rs-fMRI), which investigates patients’ functional brain connections in the absence of an explicit task. To date, studies of group differences in resting brain connectivity between patients with ADHD and typically developing controls (TDCs) have revealed reduced connectivity within the Default Mode Network (DMN), a resting state network implicated in introspection, mind-wandering, and day-dreaming. However, few studies have addressed the use of resting state connectivity measures as a diagnostic aide for ADHD on the individual patient level. In the current work, we attempted first to characterize the differences in resting state networks, including the DMN and three attention networks (the salience network, the left executive network, and the right executive network), between a group of youth with ADHD and a group of TDCs matched for age, IQ, gender, and handedness. Significant over- and under-connections were found in the ADHD group in all of these networks compared with TDCs. We then attempted to use a support vector machine (SVM) based on the information extracted from resting state network connectivity to classify participants as “ADHD” or “TDC.” The IFGmiddle temporal network (66.8% accuracy), the parietal association network (86.6% specificity and 48.5% PPV), and a physiological noise component (sensitivity 39.7% and NPV 69.6%) performed the best classifications. Finally, we attempted to combine and utilize information from all the resting state networks that we identified to improve classification accuracy. Contrary to our hypothesis, classification accuracy decreased to 54-55% when this information was combined. Overall, the work presented here supports the theory that the ADHD brain is differently connected at rest than that of TDCs, and that this information may be useful for developing a diagnostic aid. However, because ADHD is such a heterogeneous disorder, each ADHD patient’s underlying brain deficits may be unique making it difficult to determine what connectivity information is diagnostically useful.
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Stark, Juliane, Wolfgang J. Berger, and Reinhard Hössinger. "The effectiveness of an intervention to promote active travel modes in early adolescence." Elsevier, 2018. https://publish.fid-move.qucosa.de/id/qucosa%3A72335.
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This study investigates the changeability of transport-related attitudes and mode choice of early adolescents. Data on attitudes and travel behavior were collected in Austria and Germany in two consecutive survey waves with an interval of one year. The approach is based on a before-after control group experiment with an intervention promoting active travel modes. Based on the Theory of Planned Behavior we used structural equation modeling analyzing effects of the intervention; the potential for behavioral changes was modelled as moderator variable between intention and behavior. Findings suggest that the intervention was effective in changing attitudes, perceived behavioral control (PBC) and intentions to use non-motorized travel modes more, and car less. Difference models show that changes of attitude, subjective norm, and PBC accounted for 29% (car passenger) to 92% (walking) of the variance in changes in intention. The changes in intentions are however weak predictors of changes in reported behavior.
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Vetter, Nora C., Julius Steding, Sarah Jurk, Stephan Ripke, Eva Mennigen, and Michael N. Smolka. "Reliability in adolescent fMRI within two years – a comparison of three tasks." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-230621.
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Longitudinal developmental fMRI studies just recently began to focus on within-subject reliability using the intraclass coefficient (ICC). It remains largely unclear which degree of reliability can be achieved in developmental studies and whether this depends on the type of task used. Therefore, we aimed to systematically investigate the reliability of three well-classified tasks: an emotional attention, a cognitive control, and an intertemporal choice paradigm. We hypothesized to find higher reliability in the cognitive task than in the emotional or reward-related task. 104 healthy mid-adolescents were scanned at age 14 and again at age 16 within M = 1.8 years using the same paradigms, scanner, and scanning protocols. Overall, we found both variability and stability (i.e. poor to excellent ICCs) depending largely on the region of interest (ROI) and task. Contrary to our hypothesis, whole brain reliability was fair for the cognitive control task but good for the emotional attention and intertemporal choice task. Subcortical ROIs (ventral striatum, amygdala) resulted in lower ICCs than visual ROIs. Current results add to the yet sparse overall ICC literature in both developing samples and adults. This study shows that analyses of stability, i.e. reliability, are helpful benchmarks for longitudinal studies and their implications for adolescent development.
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Hilbert, A., D. Petroff, P. Neuhaus, and R. Schmidt. "Cognitive-Behavioral Therapy for Adolescents with an Age-Adapted Diagnosis of Binge-Eating Disorder: A Randomized Clinical Trial." S. Karger, 2020. https://ul.qucosa.de/id/qucosa%3A75716.
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Binge-eating disorder (BED) is characterized by recurrent objective binge eating that occurs in the absence of compensatory behaviors to prevent weight gain. As the most common eating disorder emerging in youth, BED co-occurs with increased eating disorder and general psychopathology, impaired quality of life, and
obesity [1]. Despite its clinical significance, there is a dearth of treatment studies in adolescents [1, 2]. Regarding cognitive-behavioral therapy (CBT), the most well-established treatment for adults with BED [2], one pilot randomized-controlled trial (RCT) in 25 adolescent girls with objective binge eating suggested superiority to wait-list (WL) in achieving binge-eating abstinence through 6
months following randomization and in improving eating disorder psychopathology, but not in reducing binge eating or standardized body mass index (BMI; kg/m2) [3]. Other CBT-related RCTs documented efficacy of Internet-based, weight loss-oriented self-help versus WL [4] and no differences in dialectical behavior therapy versus weight management [5]. Based on this preliminary
evidence, the aim of the BEDA (Binge Eating Disorder in Adolescents) study was to provide a confirmatory test of the efficacy of CBT in adolescent BED. It was hypothesized that CBT will be superior to WL in improving binge eating, associated psychopathology, and quality of life, but not BMI, with long-term maintenance
of effects.
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Rodehacke, Sarah, Eva Mennigen, Kathrin U. Müller, et al. "Interindividual Differences in Mid-Adolescents in Error Monitoring and Post-Error Adjustment." Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-147418.
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A number of studies have concluded that cognitive control is not fully established until late adolescence. The precise differences in brain function between adults and adolescents with respect to cognitive control, however, remain unclear. To address this issue, we conducted a study in which 185 adolescents (mean age (SD) 14.6 (0.3) years) and 28 adults (mean age (SD) 25.2 (6.3) years) performed a single task that included both a stimulus-response (S-R) interference component and a task-switching component. Behavioural responses (i.e. reaction time, RT; error rate, ER) and brain activity during correct, error and post-error trials, detected by functional magnetic resonance imaging (fMRI), were measured. Behaviourally, RT and ER were significantly higher in incongruent than in congruent trials and in switch than in repeat trials. The two groups did not differ in RT during correct trials, but adolescents had a significantly higher ER than adults. In line with similar RTs, brain responses during correct trials did not differ between groups, indicating that adolescents and adults engage the same cognitive control network to successfully overcome S-R interference or task switches. Interestingly, adolescents with stronger brain activation in the bilateral insulae during error trials and in fronto-parietal regions of the cognitive control network during post-error trials did have lower ERs. This indicates that those mid-adolescents who commit fewer errors are better at monitoring their performance, and after detecting errors are more capable of flexibly allocating further cognitive control resources. Although we did not detect a convincing neural correlate of the observed behavioural differences between adolescents and adults, the revealed interindividual differences in adolescents might at least in part be due to brain development.
Books on the topic "Adolescent Behavior – classification"
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Empirically based taxonomy: How to use syndromes and profile types derived from the CBCL/4-18, TRF, and YSR. University Associates of Psychiatry, 1993.
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Storch, Eric A., Omar Rahman, Mirela A. Aldea, Jeannette M. Reid, Danielle Bodzin, and Tanya K. Murphy. Obsessive Compulsive Spectrum Disorders in Children and Adolescents. Edited by Gail Steketee. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780195376210.013.0100.
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This chapter reviews the literature on obsessive compulsive spectrum disorders (i.e., obsessive compulsive disorder, body dysmorphic disorder, trichotillomania, Tourette syndrome, and varied body-focused repetitive behaviors) in children and adolescents. For each disorder, data on phenomenology, associated clinical characteristics, etiology, and treatment are reviewed. The chapter concludes with a discussion of future research and clinical directions, such as novel augmentation strategies, diagnostic classification of obsessive compulsive spectrum disorders, and methods of maximizing treatment outcome.
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Reis Merikangas, Kathleen, and Rebecca Hommer. Psychiatric Epidemiology: Concepts and Findings. Edited by Thomas H. Ollendick, Susan W. White, and Bradley A. White. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190634841.013.5.
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This chapter provides background on the discipline of epidemiology and its contribution to our understanding of childhood mental disorders. A summary is provided of data on the prevalence and correlates of mental disorders in children and adolescents in community surveys. Anxiety disorders are the most frequent conditions in children, followed by behavior disorders, mood disorders, and substance use disorders. About half of youth with one disorder also meet criteria for a second disorder, demonstrating the pervasive nature of comorbidity even in childhood. Less than half of youth with current mental disorders receive mental health specialty treatment. However, those with the most severe disorders tend to receive mental health services. Current issues that are now being identified in the field of child psychiatric epidemiology includes refinement of classification and assessment; integration of child and adult psychiatric epidemiology; and evaluation of both mental and medical disorders in children.
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Pinals, Debra A., ed. Stalking. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195189841.001.0001.
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Over the last two decades, stalking has received increasingly widespread attention. The establishment of anti-stalking legislation has helped to spur interest in stalking research and the forensic assessment of stalkers. Popular representations of stalking have made the public more aware of this phenomenon. It has long been the responsibility of mental health professionals to provide assessments of and treatment for stalkers and their victims, and as criminal cases involving defendants charged with stalking become more common, it is now also the responsibility of legal professionals to be knowledgeable about psychiatric aspects of stalking behavior and the risks that so often must be minimized through legal action or a combination of clinical and legal interventions. This volume provides a thorough overview of current scientific and clinical research about stalking, along with practical guidance and original commentary from the Psychiatry and the Law Committee of the Group for the Advancement of Psychiatry, an organization recognized for its contributions to mental health literature. In addition to covering the most widely discussed scientific topics related to stalking, including classification of stalking behaviors, risk assessment and risk management of stalkers, and the stalking experience from the perspective of victims, this book examines celebrity and special target stalking, cyberstalking, forensic assessment, and juvenile and adolescent stalking. Stalking: Psychiatric Perspectives and Practical Approaches provides a novel and comprehensive contribution to a field in need of an up-to-date text, written from the vantage point of forensic psychiatrists who encounter stalkers and their victims in their distinct roles as treatment providers and forensic evaluators. The prism of stalking and the risks involved continue to fascinate and frighten. In pursuit of rounded coverage, the authors have incorporated findings from numerous studies and analyzed these findings from several theoretical perspectives. Every chapter has been written from the vantage point of a committee of nationally recognized forensic psychiatrists who offer their perspectives on this fascinating but complex topic. Mental health professionals, members of the judiciary, law enforcement professionals, media personnel, and the public will no doubt find this text to be an informative and useful resource.
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Agras, W. Stewart, ed. The Oxford Handbook of Eating Disorders. Oxford University Press, 2010. http://dx.doi.org/10.1093/oxfordhb/9780195373622.001.0001.
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The Oxford Handbook of Eating Disorders reviews current research and clinical developments through synthetic articles written by experts from various fields of study and clinical backgrounds. Epidemiologic studies suggest that eating disorders are not only common but have increased in prevalence in recent decades, and this book refines and updates the state of research. The book is divided into four sections: phenomenology and epidemiology of the eating disorders, approaches to understanding the disorders, assessment and comorbidities of the disorders, and prevention and treatment. The first section deals with classification and epidemiology of the disorders, considerations for revisions to the Diagnostic and Statistical Manual of Mental Disorders, and the somewhat neglected topic of eating disorders in childhood and early adolescence. The second section describes research basic to understanding the eating disorders and addresses biological factors, psychosocial risk factors, cultural factors, and the effects of behaviors such as dieting and eating and weight concerns in the genesis of the eating disorders. The third section describes assessment of the eating disorders, medical and psychological comorbidities, and medical management. The final section deals with various treatment modalities that have been found successful, including psychotherapeutic and psychopharmacologic approaches; an overview of evidence-based treatment for the eating disorders; and a consideration of what we know about cost-effectiveness of existing treatments.
Book chapters on the topic "Adolescent Behavior – classification"
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Frick, Paul J., Christopher T. Barry, and Randy W. Kamphaus. "Classification and Developmental Psychopathology." In Clinical Assessment of Child and Adolescent Personality and Behavior. Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0641-0_3.
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Frick, Paul J., Christopher T. Barry, and Randy W. Kamphaus. "Classification and Developmental Psychopathology." In Clinical Assessment of Child and Adolescent Personality and Behavior. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35695-8_3.
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Dryfoos, Joy G. "Classification and Organization of Programs." In Adolescents at Risk. Oxford University Press, 1992. http://dx.doi.org/10.1093/oso/9780195072686.003.0012.
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Simulated risk estimates provide a quantitative framework for addressing the need of a significant number of children in the United States who are in dire straits: failing in school, delinquent, taking drugs, and having unprotected intercourse. Of the 28 million girls and boys aged 10 to 17, it is estimated that 1 in 10 (almost 3 million) are in critical situations. Another group of 4 million (15%) have excessively high prevalence rates for some but not all of the high-risk behaviors. Thus the future of 7 million youth—one in four in this country—is in jeopardy unless major and immediate changes are made in their school experiences, in their access to opportunities for healthy adolescent development, and in the quality of life in their communities. The children and their families require intensive support services to ameliorate their problems. The school systems must undergo rapid reorganization to respond to the needs of the families in these communities. Another 25 percent of youth (7 million) are at moderate risk, because of school problems, minor delinquencies, light substance use, and early, but protected, intercourse. These young people would make up the target population for concentrated prevention approaches including school remediation, counseling, and comprehensive services. About half of the nation’s youth (14 million) experience few problems and are probably at low risk of negative consequences from their behavior, but they too require general preventive services and health promotion programs. And, of course, effective schools are a social necessity for everyone. From these rough estimates, it may be possible to conceptualize a more logical, less fragmented strategy for implementing programs aimed at reducing problem behaviors. It is apparent that some children need a great deal of help, others a little, and some not any. Interventions aimed at the common predictors or antecedents of behaviors may have a better chance of success than those that are focused on only one behavior, such as drugs or sex. It seems reasonable to conclude that fewer children would be failing to achieve if the separate categorical interventions of the past had been more successful.
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Mokni, Raouia, and Mariem Haoues. "Deep Classifier Model for Autism Spectrum Disorder Prediction." In Knowledge Innovation Through Intelligent Software Methodologies, Tools and Techniques. IOS Press, 2020. http://dx.doi.org/10.3233/faia200560.
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Autism Spectrum Disorder (ASD) is a neurological and developmental disorder that affects human communication and behavior. ASD is associated with significant healthcare costs for diagnosis as well as for treatment. Disease diagnosis using deep learning model has become a wide research area. This paper proposes a deep classifier model for ASD prediction. The evaluation of the proposed model is performed over three datasets involving child, adolescent, and adult provided by ASDTest database. The obtained results showed that deep classifier model provides better results than other common machine learning classification techniques, with an accuracy of 99.50%, 99.23% and 99.42% for respectively adult, adolescent, and child datasets. Practical experiments conducted over these datasets report encouraging performances which are competitive to other existing ASD prediction models.
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Mills, Devin J., Jessica Mettler, Michael J. Sornberger, and Nancy L. Heath. "Adolescent Problematic Gaming and Domain-Specific Perceptions of Self." In Multigenerational Online Behavior and Media Use. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7909-0.ch077.
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Problematic video game use (PVGU) is an inability to meet personal and social responsibilities due to video gaming. It is estimated to affect 5 to 6% of adolescents. Research demonstrates greater video game engagement is associated with a poorer perception of self in several domains; however, the relation between PVGU and self-perception has not yet been examined. The present study explored this association using a sample of 758 Grade 7 adolescents (55.1% Female; Mage = 12.34 years; SD = 0.49 years). Results revealed greater PVGU to be associated with a poorer perception of self within the behavioural conduct and close friendship domains. Similar differences emerged when examining reports of self-perception across the PVGU classifications (i.e., None, Minimal, At-Risk, Problematic). Unexpectedly, two interactions between gender and PVGU classifications were observed for the behavioural conduct and self-worth domains of self-perception. The discussion addresses the implications of these findings and points to areas of future research.
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Whitcomb, Sara A. "Assessment and Classification." In Behavioral, Social, and Emotional Assessment of Children and Adolescents. Routledge, 2017. http://dx.doi.org/10.4324/9781315747521-3.
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Shaffer, David, Cynthia R. Pfeffer, and Jennifer Gutstein. "Suicide and attempted suicide in children and adolescents." In New Oxford Textbook of Psychiatry. Oxford University Press, 2012. http://dx.doi.org/10.1093/med/9780199696758.003.0221.
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Suicidal behaviour is a matter of great concern for clinicians who deal with the mental health problems of children and adolescents. The incidence of suicide attempts reaches a peak during the midadolescent years, and mortality from suicide, which increases steadily through the teens, is, in many countries, one of the leading causes of death at that age. This chapter starts with a historical review, and covers clinical features, assessment, classification of associated diagnoses, epidemiology, aetiology, course and prognosis, emergency treatment, and possibilities for prevention.
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McKnight, Rebecca, Jonathan Price, and John Geddes. "Child and adolescent psychiatry: specific disorders." In Psychiatry. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198754008.003.0040.
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This chapter describes common and/ or important mental health disorders seen in children and adolescents. More general information about classification, aetiology, assessment, and management is discussed in Chapter 17. Many of the psychiatric problems seen in adolescence are the common disorders of adulthood; in the latter part of the chapter, these are briefly covered, identifying adolescent- specific presentation or treatment with reference to the general information in relevant chapters on adults. Mental disorders are very common in childhood and adolescence; meta- analysis data from international studies suggest a prevalence of 10 per cent in 5– 15- year- olds. It is difficult to get accurate epidemiology data for preschool- age children— partly as fewer studies have been done, but also because many behavioural and emotional problems are short- lived and the child ‘grows out’ of them. Boys tend to be more prone to hyperactive, disruptive, and autistic spectrum disorders, while girls predominant the emotional disorders. Table 32.1 gives an overview of epidemiology of common mental health disorders. Common problems in preschoolers are shown in Table 32.2. Most problems are short- lived and whether they are reported to doctors depends on the attitudes of the parents as well as on the severity of the issue. The aetiology of these conditions is primarily related to individual variations in development and temperament, but family problems can play a role in certain situations. In the UK, a health visitor is uniquely placed to assess the child and provide advice and support. Neurodevelopmental disorders are conditions that arise due to abnormalities in growth or development of the central nervous system. Some of these disorders cause emotional and behavioural difficulties or are highly associated with other mental disorders; it is these conditions that tend to present to psychiatry. A summary is shown in Table 32.3. They tend to present in early to mid childhood. Autistic spectrum disorders (ASD) are neurodevelopmental conditions characterized by deficits and delays in social and communicative development, which are associated with restricted patterns of interest and behaviour. As the name suggests, ASD are a spectrum of conditions, with individuals varying both in severity and form of the disorder. Due to this heterogeneity, the nomenclature and classification of ASD have been through various incarnations. Until recently they have been known as pervasive developmental disorders, with subtypes of childhood autism, atypical autism, Rett’s syndrome, and Asperger’s syndrome.
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Fink MD, Max. "Movement Disorders." In Electroconvulsive Therapy. Oxford University Press, 2010. http://dx.doi.org/10.1093/oso/9780195365740.003.0011.
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Patients with mental disorders exhibit a range of abnormal movements. The severely depressed are given to hand wringing, pacing, and restlessness. Others lie in bed, stare into space, and posture for hours or days. At times, this behavior is so extreme as to be a stupor. Psychotic patients exhibit tremors or peculiar facial and body movements described as parkinsonism, dystonia, or dyskinesia. Manic patients are in constant motion. Children and adolescents bang their heads and pick at their skin, injuring themselves. Little attention is paid to such behavior unless it overwhelms the patient’s life, but it does distress the patient, the family, and the community. These motor symptoms often bring psychiatric patients to medical care. Catatonia is the motor syndrome characterized by muscular rigidity, unusual posturing, negativism (refusal to obey simple commands), mutism (persistent silence), echolalia (repetition of what has been said), echopraxia (imitation of movements), and repeated stereotyped mannerisms. It appears suddenly and quickly immobilizes the patient or it appears insidiously. When it dominates behavior and threatens the patient’s life by the failure to eat or drink, treatment becomes compulsory. Forced feeding, bedsores resulting from immobility, muscular atrophy, bladder catheterization and consequent infection, and blood clots in immobilized limbs all take a terrible toll. If the clots move to the lungs or brain, stroke or death may ensue. Catatonia was first described as a consequence of intense emotional anguish and tension. Although the movements frequently respond to sedative drugs, ECT is a more complete and effective treatment. The condition is frequently seen in patients with affective illnesses— both depression and mania—in patients with systemic disorders, and in those with toxic brain states caused by hallucinogenic drugs. For decades, the prevailing belief in psychiatry was that each instance of catatonia represented a type of schizophrenia. The major classification systems in psychiatry—the Diagnostic and Statistical Manual of the American Psychiatric Association and the International Classification of Diseases—assigned to all patients with catatonia the diagnosis of schizophrenia, catatonic type. As a consequence, few patients were treated with anticonvulsant sedatives or with ECT, because those treatments were not recognized as effective in schizophrenia.
Conference papers on the topic "Adolescent Behavior – classification"
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Cheng, Lu, Jundong Li, Yasin Silva, Deborah Hall, and Huan Liu. "PI-Bully: Personalized Cyberbullying Detection with Peer Influence." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/808.
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Cyberbullying has become one of the most pressing online risks for adolescents and has raised serious concerns in society. Recent years have witnessed a surge in research aimed at developing principled learning models to detect cyberbullying behaviors. These efforts have primarily focused on building a single generic classification model to differentiate bullying content from normal (non-bullying) content among all users. These models treat users equally and overlook idiosyncratic information about users that might facilitate the accurate detection of cyberbullying. In this paper, we propose a personalized cyberbullying detection framework, PI-Bully, that draws on empirical findings from psychology highlighting unique characteristics of victims and bullies and peer influence from like-minded users as predictors of cyberbullying behaviors. Our framework is novel in its ability to model peer influence in a collaborative environment and tailor cyberbullying prediction for each individual user. Extensive experimental evaluations on real-world datasets corroborate the effectiveness of the proposed framework.