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Enregistrement W4386775937 · doi:10.1016/j.lana.2023.100591

Suicide among Indigenous peoples in Brazil from 2000 to 2020: a descriptive study

2023· article· en· W4386775937 sur OpenAlexaboutno aff
Jacyra Azevedo Paiva de Araújo, Flávia Jôse Oliveira Alves, Andrey Moreira Cardoso, Jesem Douglas Yamall Orellana, John A. Naslund, Maurício L. Barreto, Vikram Patel, Daiane Borges Machado

Notice bibliographique

RevueThe Lancet Regional Health - Americas · 2023
Typearticle
Langueen
DomainePsychology
ThématiqueSuicide and Self-Harm Studies
Établissements canadiensnon disponible
Organismes subventionnairesNational Institute of Mental HealthNational Institutes of Health
Mots-clésIndigenousDemographyPopulationGeographyCensusSuicide methodsEthnic groupChristian ministryPoison controlEcological studySuicide preventionMedicineSuicide ratesEnvironmental healthPolitical scienceSociologyEcologyBiology

Résumé

récupéré en direct d'OpenAlex

Background: Previous studies in Australia, Canada, and Brazil, found that suicide among ethnic minority groups is higher than in the general population. Indigenous peoples in Brazil have been reported to have a high suicide rate, with reports of suicide clusters occurring in several communities. The objective of this study was to report trends in countrywide suicide rates among Indigenous peoples in Brazil between 2000 and 2020, and to compare these with the non-Indigenous population. Methods: This ecological study used Indigenous suicide data collected from all regions of Brazil during a 21-year period, between 2000 and 2020. We used suicide estimates from the Mortality Information System (SIM), available at the Brazilian Health Ministry website (DATASUS). Suicide mortality rates by state and region were calculated using the estimated Indigenous population from the 2010 census, and estimated population proportions for the other years. We performed a trend analysis and compared trends in suicide between the Indigenous and non-Indigenous population during the period studied. Findings: Suicide rates among Indigenous Brazilians have reached more than two and a half times the levels for the overall Brazilian population in 2020 (17.57 suicide deaths versus 6.35 suicide deaths per 100,000 inhabitants, respectively). The Central-West region of Brazil had the highest suicide rates among Indigenous Brazilians over the study period, reaching 58.8 deaths/100,000 inhabitants in 2008. The younger age group (10-24 years old) had the highest suicide rates for all the years studied. Time-series analyses showed a trend of statistically significant increases in suicide rates in Brazil for both the Indigenous and non-Indigenous population during the study period. The North region, and specifically Amazonas state, has shown a decisive increase in suicide rates among the Indigenous populations. The suicide rate for Indigenous people in Brazil, excluding cases in Amazonas and Mato Grosso do Sul states, were similar to those for the entire Brazilian population, showing that the Indigenous peoples who are the most vulnerable to suicide reside in these locations. Interpretation: While there were statistically significant increases in suicide rates for all Brazilians over the study period, they remained alarmingly high among Indigenous people, compared to their non-Indigenous counterparts. The high suicide rates among Indigenous people, and younger individuals in particular (aged between 10 and 24), reinforces the need for specific prevention strategies for these populations. Further studies should be concentrated on determining risk factors in distinct ethnic groups, specifically within regions experiencing an elevated risk, such as the states of Amazonas and Mato Grosso do Sul. Funding: Research reported in this publication was supported by the National Institute of Mental Health of the National Institutes of Health under award number R01MH128911-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,293
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

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

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 Opus0,121
Tête enseignante GPT0,413
Écart entre enseignants0,293 · 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'étudeObservationnel
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

Citations15
Publié2023
Routes d'admission1
Résumé présentoui

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