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Record W2219838839 · doi:10.1177/070674371506001001

Thematic Issue on Child and Adolescent Psychiatry

2015· editorial· en· W2219838839 on OpenAlexafffundvenueabout
Derryck H. Smith

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2015
Typeeditorial
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of British Columbia
FundersUniversity of British ColumbiaPurdue University
KeywordsWorryChild and adolescent psychiatryPsychologyPsychiatryDistressMedicineClinical psychologyAnxiety

Abstract

fetched live from OpenAlex

It is my pleasure and privilege to introduce to you the work of 4 groups of Canadian researchers spanning the country from Montreal to Ontario, Manitoba, and finally British Columbia. Collectively, these papers1–4 demonstrate that research into child and adolescent psychiatry is thriving across Canada. Although these papers all have distinctly Canadian databases, the results are likely applicable to children and youth around the world. In the first paper, from Gobbi et al,1 the research group studied adolescent distress following a period of 4 to 9 months of separation from their fathers. The sample was drawn from an earlier study looking at nicotine dependence in teens, but this study found that separation from fathers had no impact on alcohol or cigarette use. Perhaps not surprisingly teenagers initially suffered increase in depressive symptoms as well as worry about potential financial implications in their family. Worry about relationships shifted initially from concern about their relationship with their father to later being more concerned about their relationship with their mother. The message for clinicians is that we need to be alive to the fact that parental separation can negatively impact teenagers, and that families undergoing separation may benefit from more support from their caregivers, including family physicians, psychiatrists, and pediatricians. The second paper, from Alavi and her group2 at Queen’s University, studied the effects of bullying on adolescent victims using a database from an urgent assessment clinic. Bullying was defined as repeated aggressive behaviour with an imbalance of power between bullies and their victims. The prevalence of bullying was close to 50%, and verbal bullying was more common than physical bullying, which, in turn, was more common than cyberbullying. However, it was cyberbullying that had the biggest negative effect on victims. Suicidal ideation was 3.6 times higher in patients who had experienced cyberbullying. The results of this study strongly suggest that clinicians should inquire carefully about bullying, and in particular cyberbullying, and that symptom questionnaires, which are routinely used in clinical practice, should include questions about bullying. The other obvious implication for society is that bullying is detrimental and dangerous and that efforts should continue to discourage all forms of bullying. The third paper, from Yallop and her group,3 using a large comprehensive database in Manitoba, focused on young adults aged 18 to 29, and the prevalence of attention-deficit hyperactivity disorder (ADHD). The lifetime prevalence in this group was estimated to be 7.11% and the prevalence of stimulant prescription 3.09%. Not surprisingly, 82% of the subjects with ADHD had been diagnosed prior to age 18. The male-to-female sex ratio was 2.7:1, compared with the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, ratios of 2:1 in children and 1.6:1 in adults. The authors discussed the lack of a socioeconomic gradient and postulated that ADHD in this age group may be negatively impacting young adults who are in educational settings. This is an important paper in that it showed a considerably elevated prevalence, compared with the National Comorbidity Survey Replication from 2006. It should reassure clinicians that psychostimulants are not being overprescribed for this group. The fourth paper, from Ronsley and her group4 at the University of British Columbia, who had previously published on metabolic syndrome in children and teenagers treated with second-generation antipsychotics, reports on the first prospective study on this important topic. Patients aged 4 to 18 being treated either with risperidone or quetiapine were followed during a year. Although there was a significant attrition rate, the results were compelling in that children and teenagers treated with these 2 atypical antipsychotics were exposed to a risk of obesity, waist circumference increase, and dyslipidemia. This paper provides compelling evidence that children and teens being treated with atypical antipsychotics should routinely have monitoring of metabolic parameters, and, for those patients who show metabolic abnormalities, early treatment should be initiated. The authors identified a weakness that there was no control group for this study. I was disappointed to see that we were not given diagnoses for the children and teenagers treated with antipsychotics. Although I am in full agreement with the need for ongoing monitoring, it remains my opinion that clinicians must be careful to minimize the use of these medications and to restrict their use to serious psychiatric morbidities in which there are no alternate effective pharmacological, psychotherapeutic, or social interventions. In summary, all 4 of these papers1–4 raise very important clinical issues and should be impactful on clinical practice. They all advance the scientific basis for providing psychiatric care for young patients. They all call for additional research to further inform clinical practice in the management of children, adolescents, and young adults with psychiatric illness.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.155
Threshold uncertainty score0.520

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0080.006
Science and technology studies0.0040.003
Scholarly communication0.0090.007
Open science0.0060.010
Research integrity0.0130.008
Insufficient payload (model declined to judge)0.1550.043

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.013
GPT teacher head0.266
Teacher spread0.253 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2015
Admission routes4
Has abstractyes

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