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Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
Bianco, Marina Costa Moreira; Tardelli, Vitor S.; Brooks, Emily Rose; Areco, Kelsy C.N.; Tardelli, Adalberto O.; Bandiera-Paiva, Paulo; Santaella, Julian; Segura, Luis E.; Castaldelli-Maia, João M.; Martins, Silvia S.; Fidalgo, Thiago M..
Affiliation
  • Bianco, Marina Costa Moreira; Universidade Federal de São Paulo (UNIFESP). Departamento de Psiquiatria. São Paulo. BR
  • Tardelli, Vitor S.; Universidade Federal de São Paulo (UNIFESP). Departamento de Psiquiatria. São Paulo. BR
  • Brooks, Emily Rose; Columbia University Mailman School of Public Health. Department of Epidemiology. New York. US
  • Areco, Kelsy C.N.; UNIFESP. Departamento de Informática em Saúde. São Paulo. BR
  • Tardelli, Adalberto O.; UNIFESP. Departamento de Informática em Saúde. São Paulo. BR
  • Bandiera-Paiva, Paulo; UNIFESP. Departamento de Informática em Saúde. São Paulo. BR
  • Santaella, Julian; New York University. Department of Population Health. New York. US
  • Segura, Luis E.; Columbia University Mailman School of Public Health. Department of Epidemiology. New York. US
  • Castaldelli-Maia, João M.; Columbia University Mailman School of Public Health. Department of Epidemiology. New York. US
  • Martins, Silvia S.; Columbia University Mailman School of Public Health. Department of Epidemiology. New York. US
  • Fidalgo, Thiago M.; Universidade Federal de São Paulo (UNIFESP). Departamento de Psiquiatria. São Paulo. BR
Braz. J. Psychiatry (São Paulo, 1999, Impr.) ; Braz. J. Psychiatry (São Paulo, 1999, Impr.);45(5): 405-413, Sept.-Oct. 2023. tab, graf
Article de En | LILACS-Express | LILACS | ID: biblio-1528003
Bibliothèque responsable: BR1.1
ABSTRACT

Objectives:

To examine drug overdose records in Brazil from 2000 to 2020, analyzing trends over time in overdoses and overall sociodemographic characteristics of the deceased.

Methods:

Using data from the Brazilian Mortality Information System (Sistema de Informações sobre Mortalidade), we identified records from 2000-2020 in which the underlying cause-of-death was one of the following codes X40-X45 (accidental poisoning), X60-X65 (intentional poisoning), or Y10-Y15 (undetermined intentionality poisoning). The Brazilian dataset included 21,410 deaths. We used joinpoint regression analysis to assess changes in trends over time.

Results:

People who died of drug overdoses in Brazil between 2000 and 2020 had a mean age of 38.91 years; 38.45% were women, and 44.01% were identified as White. Of the overdose deaths, 44.70% were classified as intentional and 32.12% were classified as unintentional. Among the identified drugs, stimulants were the most common class. However, most records did not report which drug was responsible for death.

Conclusion:

Sociodemographic trends in overdose deaths in Brazil must guide country-specific policies. Nevertheless, data collection protocols must be improved, particularly regarding the drug used in overdoses.
Mots clés

Texte intégral: 1 Indice: LILACS Type d'étude: Prognostic_studies Pays comme sujet: America do sul / Brasil langue: En Texte intégral: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Thème du journal: PSIQUIATRIA Année: 2023 Type: Article

Texte intégral: 1 Indice: LILACS Type d'étude: Prognostic_studies Pays comme sujet: America do sul / Brasil langue: En Texte intégral: Braz. J. Psychiatry (São Paulo, 1999, Impr.) Thème du journal: PSIQUIATRIA Année: 2023 Type: Article