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Enregistrement W84665228 · doi:10.1177/070674371305800108

How Do Social Factors Cause Psychotic Illnesses?

2013· letter· en· W84665228 sur OpenAlexafffundvenue
Kwame McKenzie

Notice bibliographique

RevueThe Canadian Journal of Psychiatry · 2013
Typeletter
Langueen
DomaineMedicine
ThématiqueSchizophrenia research and treatment
Établissements canadiensUniversity of TorontoCentre for Addiction and Mental Health
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésPsychologyPsychiatryMedicineClinical psychology

Résumé

récupéré en direct d'OpenAlex

Five years ago, Jarvis' heralded the rebirth of investigation of the social causation of psychoses.In this In Review section he charted the growing interest in Europe based on studies of immigrant groups.2 Evidence was accumulating that social factors have a role in the development of schizophrenia and other psychoses.1,3At that time, the mechanisms by which social factors exert their influence were unknown. It was hoped that future research would identify how the exposure to social adversity leads to the development of psychotic symptoms.1The literature has grown significantly, but researchers investigating the social causes of psychosis are still in the minority.4 This may be changing as clear and plausible mechanisms through which social factors can cause the cognitive, structural, and neurochemical changes seen in the psychoses are being reported.5,6The argument that psychosis is a brain disease does not rule out social causation.5,7It may be worth reflecting on that we have no problem accepting the social causation of other illnesses with physical manifestations, such as coronary thrombosis.The final common pathway is a blockage of the artery leading to heart muscle death. This can occur by a slow plugging of the arteries, an embolus being thrown offa fatty plaque or spasm. Fatty plaques build up over many years from childhood onwards. The actual timing of the heart attack not only depends on a person's lifetime accumulation but also the work that the heart has to do at the time; heart attacks usually occur during exercise. The amount of work is linked to individual factors, such as weight, as well as environmental factors, such as the ambient temperature, but these are not the only social risk factors. We all realize that risk is complex. Though inheritance plays a role (and for some with familial hyperlipidemias it is a significant role), for most it is a vulnerability factor, and whether we have a heart attack relies on a combination of other factors including our diet and level of exercise, which are influenced by our social contexts. For instance, our diet depends on what types of food are available and what we can afford, but we know there are other factors involved, such as our psychological state, as we tend toward eating high-calorie foods when we are stressed. Other responses to stress are the use of anxiolytics, such as tobacco and alcohol, to ease social interactions. These may increase our risk of cardiac disease. Their rate of use in society depends not only on culture but also on their availability and cost. The last 2 factors are regulated by the state, and the sources of stress that lead to these behaviours are similarly complex, including financial insecurity, job stress, family and relationship stress, and our position in society.8I could go on.The point is that clinicians, researchers, and the general public are very quickly able to build and understand complex models of risk for physical diseases. They understand that there are 4 dimensions of risk: vulnerabilities and resiliency factors at an individual level; environmental-level factors, such as where you live, what the laws are, and how easy it is to live a healthy lifestyle; an interaction can occur because individual risks and environmental risks are not independent (for instance, your social context changes if you lose a parent when you are young); and, finally, timing is important because there are sensitive periods in development and resiliency changes with age.7The model for social risk for schizophrenia and other psychoses is similar to that of heart disease. The 4-dimensional model used to explain the social causation of heart attacks was actually developed to explain the causation of schizophrenia for public health officials.7 There are individual factors, such as genetic vulnerability, that are important. There are group level factors, such as where you live and the position of your group in society. …

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)0,006
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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil0,024

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0020,002
Science ouverte0,0000,001
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0070,001

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 Opus0,034
Tête enseignante GPT0,280
Écart entre enseignants0,246 · 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
GenreCommentaire

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

En bref

Citations4
Publié2013
Routes d'admission3
Résumé présentoui

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Même revueThe Canadian Journal of Psychiatry→Même sujetSchizophrenia research and treatment→Travaux en français237 207→