Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality

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 identif...

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Main Authors: Marina Costa Moreira Bianco, Vitor S. Tardelli, Emily Rose Brooks, Kelsy C.N. Areco, Adalberto O. Tardelli, Paulo Bandiera-Paiva, Julian Santaella, Luis E. Segura, João M. Castaldelli-Maia, Silvia S. Martins, Thiago M. Fidalgo
Format: Article
Language:English
Published: Associação Brasileira de Psiquiatria (ABP) 2023-11-01
Series:Brazilian Journal of Psychiatry
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462023000500405&lng=en&tlng=en
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author Marina Costa Moreira Bianco
Vitor S. Tardelli
Emily Rose Brooks
Kelsy C.N. Areco
Adalberto O. Tardelli
Paulo Bandiera-Paiva
Julian Santaella
Luis E. Segura
João M. Castaldelli-Maia
Silvia S. Martins
Thiago M. Fidalgo
author_facet Marina Costa Moreira Bianco
Vitor S. Tardelli
Emily Rose Brooks
Kelsy C.N. Areco
Adalberto O. Tardelli
Paulo Bandiera-Paiva
Julian Santaella
Luis E. Segura
João M. Castaldelli-Maia
Silvia S. Martins
Thiago M. Fidalgo
author_sort Marina Costa Moreira Bianco
collection DOAJ
description 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.
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spelling doaj.art-5e7106d89d8b41fa8278bda61b6feea02023-11-28T07:49:15ZengAssociação Brasileira de Psiquiatria (ABP)Brazilian Journal of Psychiatry1809-452X2023-11-0145540541310.47626/1516-4446-2022-3023Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionalityMarina Costa Moreira Biancohttps://orcid.org/0000-0001-6609-0430Vitor S. Tardellihttps://orcid.org/0000-0001-6040-7708Emily Rose BrooksKelsy C.N. Arecohttps://orcid.org/0000-0002-7801-757XAdalberto O. TardelliPaulo Bandiera-PaivaJulian SantaellaLuis E. SeguraJoão M. Castaldelli-Maiahttps://orcid.org/0000-0001-9621-2291Silvia S. MartinsThiago M. Fidalgohttps://orcid.org/0000-0003-3555-5228 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.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462023000500405&lng=en&tlng=enDrug overdosesubstance-related disorderscentral nervous system stimulants
spellingShingle Marina Costa Moreira Bianco
Vitor S. Tardelli
Emily Rose Brooks
Kelsy C.N. Areco
Adalberto O. Tardelli
Paulo Bandiera-Paiva
Julian Santaella
Luis E. Segura
João M. Castaldelli-Maia
Silvia S. Martins
Thiago M. Fidalgo
Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
Brazilian Journal of Psychiatry
Drug overdose
substance-related disorders
central nervous system stimulants
title Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
title_full Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
title_fullStr Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
title_full_unstemmed Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
title_short Drug overdose deaths in Brazil between 2000 and 2020: an analysis of sociodemographics and intentionality
title_sort drug overdose deaths in brazil between 2000 and 2020 an analysis of sociodemographics and intentionality
topic Drug overdose
substance-related disorders
central nervous system stimulants
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-44462023000500405&lng=en&tlng=en
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