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Enregistrement W4294953608 · doi:10.1002/wps.21012

We share more attributes than we think: the crucial input of epidemiology

2022· article· en· W4294953608 sur OpenAlexaffabout
Elie G. Karam, Vivianne Kovess Masfety

Notice bibliographique

RevueWorld Psychiatry · 2022
Typearticle
Langueen
DomainePsychology
ThématiqueMental Health Treatment and Access
Établissements canadiensMcGill University
Organismes subventionnairesnon disponible
Mots-clésPsychiatric epidemiologyEpidemiologyPsychiatryMental healthMedicineSchizophrenia (object-oriented programming)Genetic epidemiologyGlobePsychopathologyMental illnessPsychology

Résumé

récupéré en direct d'OpenAlex

Psychiatric epidemiology, as is the case for most domains in psychiatry, does not have strict borders in what goes under its umbrella. Still, it can be broadly defined as covering, among other subjects, the various environmental and genetic etiologies, the course and prevalence, and the two-way relation of societal factors in mental disorders, all in large samples of individuals. An interesting observation is that psychiatric epidemiology consolidates a major axiom, simple at first look, but profound in its implications: broadly speaking, humans share much more common mental attributes than we had thought. In fact, studying very large populations across the globe has taught us very clearly that there are major highways which seem to be predetermined by the simple fact that we belong to a given species. Be it the effects of prenatal factors, including genetics, of childhood adversities, of major trauma, war, economics, chronic illnesses or temperament; be it schizophrenia, post-traumatic stress disorder or phobias; all studies point increasingly in cross-national samples to similar conclusions. This makes the field of psychiatric ep­­idemiology quite interesting, echoing its origins in the more sociological approach to mental health and now looking at the variety of biological markers and their relation to determinants of onset, course and treatment of mental health disorders. This has been, understandably, a very exciting field, which has defined the lifelong commitment of members of the WPA Section on Psychiatry Epidemiology and Public Health over the years. This Section was founded in 1967 and re-named “Epidemiology and Community Psychiatry” until 1997, when it acquired its present name. The Section gathered progressively the most prestigious experts in psychiatric epidemiology and public health, such as J. Wing, who was its president for years, and designed the famous Present State Examination (PSE), followed by the Schedule for Clinical Assessment of Neuropsychiatry (SCAN)1; H. Hafner, who conducted a unique work on the epidemiology of schizophrenia2; and N. Sartorius, who worked on behalf of the World Health Organization all over the world, and led among others the influential International Pilot Study of Schizophrenia3. Other prominent Section members pioneered the discipline by launching exten­sive populations surveys, such as T. Helgas­on in Iceland, with a birth cohort of more than five thousand probands followed up to their deaths4, and A. Leighton and J. Murphy in Canada, who set up the Stirling Country Study, a large population survey allowing to study population mental health up to the fourth generation5. To this list we can add L. Robins, who de­signed the Diagnostic Interview Survey (DIS)6, the first diagnostic interview usable by lay interviewers, a huge step in mental health epidemiology, whose DSM-III computerized algorithms allowed to evaluate the prevalence of mental disorders in the US in the Epidemiological Catchment Area Study, a landmark in the field under the leadership of D. Regier7. That instrument stimulated the development of the now worldwide used and continuously evolving Composite International Diagnostic Interview (CIDI)8, which, under the inspiring leadership of R. Kessler, was used in the World Mental Health (WMH) Initiative, that gathered surveys in 40 countries all around the world, and is still growing, with more than 1,000 publications so far (www.hcp.med.harvard.edu/wmh). The output from WMH covers a huge variety of subjects, including prevalence, risk factors, burden, course, treatment, conceptualizations and definitions of most mental disorders. Many of the WMH contributors are active members of our Section. Looking back, the Section has been able to organize twenty meetings all around the world. The themes of these meetings reflec­t­ed the large scope of epidemiology and public health in the domain of psychiatry and mental health. Some meetings were more clinically oriented, such as “The Chronical­ly Mentally ill” (Baltimore, US, 1982), “Primary Care and Psychiatric Epidemiology” (Toronto, Canada, 1989), and “From Epidemiology to Clinical Practice” (Turku, Finland, 1999). Others focused on longitudinal perspectives, such as “The Course and Outcome in Mental Health Disorders” (Groningen, The Netherlands, 1993), “Prediction is Psychiatric Epidemiology: from Childhood and Adolescents to Adulthood” (Lisbon, Portugal, 2010), and “Epidemiology of Mental Disorders Across Lifespan and Development” (New York, US, 2018). Some focused more on research, such as “A Search for Causes: Epidemiological Approaches” (New York, US, 1995), “Psychiatric Epidemiology and Social Sciences” (Oslo, Norway, 1991), “Theory Evidence and Psychiatric Epidemiology” (Paris, France, 2003), and “Psychiatric Epidemiology Meets Genetics: The Public Health Consequences” (Munich, Germany, 2016). Two meetings focused on “The Future of Epidemiology” (Edinburgh, UK, 1985, and Baltimore, US, 2001). Public health aspects were the focus of several more meetings: “Unmet Needs” (Syd­ney, Australia, 1997), “Epidemiology­ and Medical Economics” (Brisbane, Australia, 2006) and “From Epidemiology to Mental Health Planning” (Saskatoon, Canada, 2008). Others focused more on risk factors, such as “Mental Health and Urbanization: Challenges of Societies in Transformation” (Sao Paulo, Brazil, 2012) and “Trauma and Mental Health” (Nara, Japan, 2014). The forthcoming meeting will be held for the first time in Africa, in Morocco: “Learning from Diversities Across the World: Implications for Psychiatric Epidemiology”, scheduled for October 2022. We carry a tradition in our meetings, which is to minimize parallel sessions, in order to foster real exchange between the presenters and the audience. We thus set up a theme and then try, as much as possible, to organize sessions coherent with this theme, with highly recognized speakers and much time devoted to active discussions. The concentration of highly committed specialists during these meetings has been a great source of inspiration for many beginners in the field, and has been decisive for the career of many young researchers. The atmosphere is typically friendly, and sessions deal with a very limited number of topics, which allows beginners and experts to dig deeper. In conclusion, the broad perspective of epidemiology and public health in all areas of mental health encourages international collaboration, and crucially examines how much, in fact, humans look alike and how lessons learned from one site can be generalized to humans all over.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,552
Score d'incertitude au seuil0,987

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0140,000

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 Opus0,070
Tête enseignante GPT0,387
Écart entre enseignants0,317 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

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

En bref

Citations6
Publié2022
Routes d'admission2
Résumé présentoui

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