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Enregistrement W349626540 · doi:10.1177/070674371005500501

Suicidal Behaviour in Adolescence

2010· editorial· en· W349626540 sur OpenAlexvenueno aff
Alan Apter

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2010
Typeeditorial
Langueen
DomainePsychology
ThématiqueSuicide and Self-Harm Studies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPoison controlSuicide preventionInjury preventionHuman factors and ergonomicsOccupational safety and healthPsychologyMedical emergencyMedicineDevelopmental psychologyPsychiatryClinical psychology

Résumé

récupéré en direct d'OpenAlex

Adolescent suicide and suicidal behaviours have become major public health issues in recent years. Suicide is widely recognized as a major cause of mortality in young people, and nonfatal suicidal behaviours in young people are associated with considerable morbidity. Suicidal behaviour in adolescence covers a wide spectrum of phenomena for which an exact definition and an understanding of the interrelations remain controversial.1 The epidemiology of youth suicide is a fascinating story. The 20th century produced a steady rise in the incidence of suicide in young males punctuated by decreases during the World Wars; however, since the 1 990s, rates of suicide in young men have steadily declined. This was partly due to an increased number of cars with catalytic converters and to declines in rates of unemployment and divorce.2 Some researchers, especially in the United States, have strongly supported the important role of selective serotonin reuptake inhibitors use in explaining the reduction of adolescent suicide,3'4 a claim refuted by Biddle et al.2 Following the introduction of the black box warning, there was a new rise in adolescent suicide, which some authors attributed to reduced prescriptions of these agents, although Wheeler et al5 have vigorously disputed this interpretation. One other major epidemiologic finding in recent years has been the finding that, in China, southern India, and Singapore, the accepted sex differences for suicide are reversed, and that young females are more at risk for suicide than males.6 In these young females, mental illness seems to be less of a factor in their suicides than has been reported in the West7 and most fatalities are due to pesticide ingestion. Undoubtedly, the restriction of the use of pesticides is a very important preventative measure in these countries.8 It has become increasingly clear that family genetic studies play an important role in understanding suicide and that, especially in youth, suicide is inherited distinctively from any concurrent psychiatric illness.9 It has also become increasingly apparent that genetic transmission is more characteristic of suicide in youth than that of suicide in older people. The biological mechanism that may be involved is probably related to serotonin metabolism and low turnover of 5-hydroxyindoleacetic acid as measured in the cerebral spinal fluid, which in turn is related to aggression and impulsivity.10 This, combined with a genetic predisposition for a heightened stress reaction via genetic mechanisms in the hypothalamo-pituitary-adrenal axis, provides a plausible basis for beginning to understanding suicide in youth. Psychological risk factors that have been the focus of recent attention include overgeneralized autobiographical memory associated with interpersonal relationships,12 deficits in problem solving,13 as well as high levels of impulsiveaggressiveness. 14 Additional potential precursors of suicidal behaviour in depressed adolescents are other early development traits, such as temperament and emotional regulation.15 Adolescent suicidal behaviour also seems to be related to just about all types of serious psychiatric disorder, including: eating disorders,16 schizophrenia,17 and, of course, all forms of depression, especially bipolar disorder. Social risk factors for adolescent suicide include parental separation, divorce, and family discord, as well as child abuse and imitation.18 Media reporting and, naturally, alcohol and drug abuse are also important facilitators of suicide among young people. Bullying and peer victimization are extremely dangerous precipitators19,20 and, together with the understudied effects of immigration, are reviewed more extensively in this issue's In Review.21,22 A new social force impinging on youth suicide is the Internet.2 As an increasingly popular source of information, concerns have been raised about the existence of websites that promote suicide23 as well as suicide websites that have been claimed to have facilitated suicide pacts among strangers. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,004
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,014
Tête enseignante GPT0,292
Écart entre enseignants0,278 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations7
Publié2010
Routes d'admission1
Résumé présentoui

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