Sociodemographic factors of violent deaths related to licit or ilicit psychoactive substances: a cross-sectional study, Ceará, Brazil, 2015-2019
Abstract
Objective:
To assess association between sociodemographic factors, presence of licit or illicit psychoactive substances, and types of legal death in Ceará state, Brazil.
Methods:
Cross-sectional study based on autopsy data and toxicology tests on victims of cases registered by the Ceará Forensic Expert service, from 2015 to 2019.
Results:
Of the 4,198 cases analyzed, 55.6% were positive for licit and/or illicit substances, with greater frequency of benzodiazepines (22.4%) and cocaine (21.7%) among males (45.0%), young adults (58.7%), single people (49.0%), and those with low education levels (52.8%). Association was found between benzodiazepines (29.5%) and tricyclic antidepressants (15.6%) and suicides; cocaine (28.1%) and cannabis (27.1%) and homicides; and cocaine (28.2%) and tricyclic antidepressants (5.9%) and suspicious deaths.
Conclusion:
Sociodemographic factors were associated with the use of psychoactive substances and types of legal death. Benzodiazepines and cocaine were the most frequent substances in suicide and homicide cases, respectively.
Article type: Research Article
Keywords: Violencia, Toxicología Forense, Medicina Legal, Drogas de Abuso, Mortalidad, Estudio Transversal, Violence, Forensic Toxicology, Forensic Medicine, Illicit Drugs, Mortality, Cross-Sectional Study, Violência, Toxicologia Forense, Medicina Legal, Drogas de Abuso, Mortalidade, Estudo Transversal
Affiliations: Perícia Forense do Ceará, Núcleo de Toxicologia Forense, Fortaleza, CE, Brazil; Universidade Federal do Ceará, Departamento de Fisioterapia, Fortaleza, CE, Brazil; Universidade Federal do Ceará, Departamento de Farmácia, Fortaleza, CE, Brazil
License: CC BY 4.0 This is an open-access article distributed under the terms of the Creative Commons Attribution License
Article links: DOI: 10.1590/S2237-96222024v33e2024152.en | PubMed: 39879419 | PMC: PMC11776068
Relevance: Moderate: mentioned 3+ times in text
Full text: PDF (337 KB)
INTRODUCTION
Violence is a global problem and can be associated with use of psychoactive substances.1 Its causes, influenced by multiple factors, are complex and not fully understood.1,2 Public health, using scientific methods, seeks to prevent violence through accumulation of knowledge on the issue.3
Knowing the circumstances and characteristics of deaths and chemical substances related to them is important for a better assessment of the panorama of victim mortality and, therefore, enabling application of more efficient policies and resources to reduce this form of mortality.4
Analysis of mortality and knowledge of the epidemiological profile of victims involved in cases of use of one or multiple chemical agents, as well as identification of health conditions and the most susceptible groups, are of fundamental importance for a health system to take action and develop specific policies.2 However, research relating the use of specific substances and the risk factors that lead to death is still limited.4
Therefore, it must be considered that, in addition to identifying the chemical substances involved in these deaths, it is necessary to understand how the pattern of violent mortality is related to the substances themselves.4,5 Therefore, more research is essential to expand understanding and develop more effective prevention and intervention strategies.5
Violence associated with use of psychoactive substances requires attention and continuous studies. Previous research has already demonstrated this association.4–7 Therefore, the relevance of this study lies in verifying the relationship between use of psychoactive substances and mortality from violent causes in the state of Ceará. Understanding this scenario is crucial for public health and security, as it enables the mortality scenario to be assessed and more efficient resources and public policies targeted towards reducing violence.4,5
In this sense, forensic medicine and forensic toxicology play a crucial role by providing detailed information about the circumstances of deaths. Furthermore, they help to establish cause and effect relationships between chemical agents and violent deaths. As part of public security services, they are responsible for conducting forensic investigations and determining the cause of death in cases of homicides, suicides, accidental deaths or other unnatural or suspicious deaths.7–9
The objective of this study was to assess association between sociodemographic factors, presence of licit or illicit psychoactive substances, and types of legal death in Ceará state, Brazil.
METHODS
Cross-sectional study, using deterministic and probabilistic record linkage techniques, of cases of violent deaths, with presumed involvement of legal and/or illicit chemical substances, recorded by the Ceará Forensic Expert Service (Perícia Forense do Ceará), from 2015 to 2019.
Brought into being by State Law No. 14055/2008, the Ceará Forensic Expert Service is based in the city of Fortaleza and is a technical-scientific body subordinated to the Public Security Department, which operates throughout the state of Ceará, and the attribution of which is the production of evidence of a scientific nature in criminal investigations.9
The data on the cases analyzed in the present study came from autopsy exams carried out at the Forensic Thanatology Center of the Forensic Medicine Service (Coordenadoria de Medicina Legal), and from the results of toxicology screening analyses performed at the Forensic Toxicology Center (Núcleo de Toxicologia Forense) of the Forensic Laboratory Analysis Service (Coordenadoria de Análises Laboratoriais Forenses), both being part of the Ceará Forensic Expert Service.
Cases that had toxicology screening analysis performed on whole blood samples were included in the study. Cases in which records indicated bodies in a state of putrefaction or charred, situations in which blood samples from the victim were not available and cases resulting from exposure to pesticides, ethyl alcohol and volatile substances were excluded.
Death data were collected from three recording systems: the Integrated Management System (Sistema de Gestão Integrada), which operated until 2019; the Galileu System for forensic expert service management implemented in 2019; and the automated Evidence® system (Randox Laboratories Ltd.), which stores the results of toxicology screening analyses obtained using the immunoassay technique.
Data linkage was performed using deterministic, probabilistic and join record linkage.10
Deterministic linkage is done through a unique identification field or data (id) common to both databases that can be linked.10 Probabilistic linkage was used to data that refer to the same entity, even if they do not have unique identifiers. Scores were assigned based on the similarity between the values of the potential identifiers.11
We used Stata® (Statistics/Data Analysis) BE version 17 software to perform linkages and statistical calculations. In the deterministic linkage we used the “merge” and “merge joinby pairwise” functions. The unique identifiers (id) we used were the request number and the combination of entities: agency code, file number, file year, record number, record year and forensic center.
In the probabilistic linkage, we used the “dtalink” function to match identifiers, assigning scores to assess the probability of correspondence between records as follows: name, year of the file (+10 for coincidences; -5 for non-coincidences) and input date (+5 for exact days; -6 for differences greater than 30 days).
In order to obtain sensitivity and specificity when preparing probability calculations, a criterion was established whereby the sum of the scores for the combination of pairs had to be greater than or equal to 34.12 After this step, the consistency of the pair formed was assessed to determine whether it would be accepted or rejected.
The independent variables were categorized into sex (male/female); age (≤ 14 years; 15-29 years; 30-49 years; and ≥ 50 years); marital status (single, separated/divorced/widowed, married/civil partnership); level of schooling (illiterate, literate, complete elementary education, complete high school education, higher education); occupation (students, workers in the agricultural/industrial/services/commerce sectors, civil service/sciences, retired/unemployed); legal death (homicides, suicides, accidental deaths [including road traffic accidents], suspicious deaths [including undetermined deaths], other forms of death [drowning, electrocution etc.]; instrument/manner of death. The outcome was detection of illicit substances and/or drugs in toxicology tests. In other words, a sample was considered positive (detected) when at least one of the substances studied presented a concentration equal to or greater than the cutoff value in nanograms per deciliter (ng/mL).
The cutoff values for illicit substances were: methamphetamine ≥ 110 ng/mL; amphetamine ≥ 100 ng/mL; 3-4, methylenedioxymethamphetamine (MDMA, ecstasy) and cocaine/benzoylecgonine ≥ 50 ng/mL; delta-9-THC (cannabis) ≥ 10 ng/mL; phencyclidine (PCP) ≥ 5 ng/mL. For licit drugs/drug classes were: tricyclic antidepressants ≥ 60 ng/mL; barbiturates ≥ 50 ng/mL; benzodiazepines, buprenorphine, methadone, oxycodone, opioids, meprobamate and dextromethorphan ≥ 10 ng/mL; opiates ≥ 25 ng/mL; tramadol ≥ 5 ng/mL; and fentanyl ≥ 2 ng/mL.
Shapiro-Wilk statistical tests were applied to verify the normality of data distribution. Each prevalence ratio (PR) was calculated by dividing the prevalence of the event (presence of the psychoactive substance) in the group with drug-related deaths by the prevalence of the same event in a reference group. Fisher’s exact test (two-sided p-value) and the 95% confidence interval (95%CI) were calculated to assess the significance of this relationship. Results with p-value < 0.05 were considered statistically significant.
The project was approved by the Research Ethics Committee of the Universidade Federal do Ceará, Opinion No. 5,192,820, in 1/5/2022, certificate of submission for ethical appraisal No. 53707521.4.0000.5054.
RESULTS
From 2015 to 2019, 5,329 deaths suspected of involving psychoactive chemical substances were recorded. In 4,400 cases, toxicology screening tests were carried out to detect drugs and medications. After excluding 202 records, 4,198 cases were included, accounting for 12.0% of the 34,304 autopsy exams performed.
Of the 4,198 cases examined, 55.6% were positive for licit and/or illicit substances and 35.9% were positive for illicit substances. The majority of individuals were male (81.7%), aged between 30 and 49 years old (41.3%) or between 15 and 29 years old (27.2%), single (67.4%), literate (59.6%) and workers in the agriculture, industry, services and commerce sectors (68.4%). The highest frequency of deaths occurred in hospitals (37.1%), with the majority of them classified as suspicious deaths (53.9%) (Table 1). The drugs/drug classes with the highest detection, excluding cases originating in healthcare establishments, were benzodiazepines (22.4%). Among illicit substances, there was greater detection of cocaine (21.7%), followed by cannabis (11.6%) (Table 2).
Table 1: Characteristics of cases with post mortem toxicology tests performed, Ceará, Brasil, 2015-2019
| Sociodemographic characteristics | n | % |
|---|---|---|
| Sex | 2,347 | 100.0 |
| Male | 1,918 | 81.7 |
| Female | 429 | 18.3 |
| Age group (years) | 31 | 1.4 |
| 0-4 | 28 | 1.3 |
| 5-14 | 601 | 27.2 |
| 15-29 | 913 | 41.3 |
| 30-49 | 298 | 13.5 |
| 50-59 | 178 | 8 |
| 60-69 | 163 | 7.4 |
| > 69 | 163 | 7,4 |
| Marital status | 1,855 | 100.0 |
| Single | 1,250 | 67.4 |
| Married/civil partnership/widowed/ | 436 | 23.5 |
| Separated/divorced | 169 | 9.1 |
| Level of schooling | 1,769 | 100.0 |
| Illiterate | 172 | 9.7 |
| Literate | 1,054 | 59.6 |
| Complete elementary education | 127 | 7.2 |
| Complete high school education | 296 | 16.7 |
| Complete higher education | 83 | 4.7 |
| Not informed | 37 | 2.1 |
| Occupation | 1,284 | 100.0 |
| Retired/unemployed/student | 265 | 20.6 |
| Agriculture, industry, services and commerce | 878 | 68.4 |
| Civil service/sciences | 141 | 11 |
| Place of death | 1,215 | 100.0 |
| Hospital/Emergency Care Unit | 450 | 37.1 |
| Rural area/public thoroughfare | 175 | 14.4 |
| Home/prison unit | 148 | 13 |
| Unclassified address | 443 | 36.5 |
| Type of death | 2,030 | 100.0 |
| Suspicious | 1,095 | 53.9 |
| Accidental | 438 | 21.6 |
| Suicide | 237 | 11.7 |
| Homicide | 203 | 10 |
| Outros | 57 | 2.8 |
| Manner of death | 1,609 | 100.0 |
| Drowning | 59 | 3.7 |
| Cold weapon | 6 | 0.4 |
| Electric shock | 14 | 0.9 |
| Hanging | 55 | 3.4 |
| Poisoning | 223 | 13.9 |
| Firearm projectile | 200 | 12.4 |
| Fall on same level | 63 | 3.9 |
| Fall | 6 | 0.4 |
| Other | 983 | 61.1 |
Table 2: Frequency of substances detected in cases of violent deaths, Ceará, Brazil, 2015-2019
| Licit drugs/drug classes detected | All cases | Hospital origin excluded | ||||
|---|---|---|---|---|---|---|
| n | Positive | % | n | Positive | % | |
| Benzodiazepines | 4,198 | 1,074 | 25.6 | 3,748 | 841 | 22.4 |
| Meprobamate | 357 | 26 | 7.3 | 269 | 19 | 7.1 |
| Opioids | 357 | 24 | 6.3 | 269 | 16 | 5.9 |
| Tricyclic antidepressants | 4,198 | 190 | 4.5 | 4,163 | 155 | 3.7 |
| Barbiturates | 4,141 | 149 | 3.6 | 4,141 | 149 | 3.6 |
| Oxycodone | 357 | 12 | 3.4 | 269 | 9 | 3.3 |
| Fentanyl | 357 | 29 | 8.7 | 269 | 7 | 2.8 |
| Tramadol | 357 | 12 | 3.4 | 269 | 5 | 1.9 |
| Opiates | 4,137 | 100 | 2.4 | 3,694 | 64 | 1.7 |
| Methadone | 4,125 | 38 | 0.9 | 3,684 | 27 | 0.7 |
| Zolpidem | 357 | 2 | 0.6 | 269 | 2 | 0.7 |
| Buprenorphine | 4,198 | 8 | 0.2 | 3,748 | 8 | 0.2 |
| Illicit substances | ||||||
| Cocaine | 4,198 | 912 | 21.7 | |||
| Cannabis | 4,198 | 488 | 11.6 | |||
| Methamphetamine | 4,198 | 292 | 7.0 | |||
| 3-4, methylenedioxymethamphetamine (MDMA, ecstasy) | 3,840 | 127 | 3.3 | |||
| Phencyclidine | 4,198 | 37 | 0.9 | |||
We found that a single substance, licit and/or illicit, was detected in 29.1% of cases. For illicit substances alone, single substances accounted for 23.1%. Detection of multiple substances showed greater association between illicit substances (12.8%) than between licit substances (8.2%).
Taking the year 2015 as a basis, in 2018 there was a significant detection of psychoactive substances (48.9%), illicit substances (42.9%) and amphetamine compounds (21.6%) (Table 3). Men (45.0%) and young people aged 15-29 (32.0%) led the prevalence rates, for both psychoactive and illicit substances. Single people (49.0%) accounted for higher prevalence of detection of psychoactive substances than those who were married/living in a civil partnership. Individuals with complete elementary education (52.8%) had higher prevalence of psychoactive substances, compared to those who were illiterate. When examining occupations, students stood out (55.5%).
Table 3: Prevalence, prevalence ratio (PR) and confidence interval (95%CI) of the presence of licit and illicit psychoactive substances, Ceará, Brazil, 2015-2019
| Variables | Licit and illicit substances | Illicit substances | Amphetamine compounds | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Positive (%) | PR (95%CI) | p-value | Positive (%) | PR (95%CI) | p-value | n | Positive (%) | PR (95%CI) | p-value | |
| Year | 4,198 | 3,840 | |||||||||
| 2015 | 1,511 | 533 (35.3) | 1.00 | 461 (30.5) | 1.00 | 1,511 | 115 (7.6) | 1.00 | |||
| 2016 | 963 | 360 (37.4) | 1.06 (0.95;1.18) | 0.287 | 312 (32.4) | 1.06 (0.94;1.19) | 0.323 | 960 | 74 (7.7) | 1.01 (0.76;1.34) | 0.93 |
| 2017 | 625 | 262 (41.9) | 1.19 (1.06;1.33) | 0.004 | 219 (35.0) | 1.14 (1.01;1.31) | 0.041 | 622 | 122 (19.6) | 2.58 (2.03;3.27) | <0.001 |
| 2018 | 662 | 324 (48.9) | 1.39 (1.25;1.54) | <0.001 | 284 (42.9) | 1.41 (1.25;1.58) | <0.001 | 645 | 139 (21.6) | 2.83 (2.25;3.56) | <0.001 |
| 2019 | 437 | 190 (43.5) | 1.23 (1.09;1.40) | 0.002 | 112 (25.6) | 0.84 (0.70;1.0) | 0.049 | 102 | 9 (8.8) | 1.16 (0.61;2.22) | 1.17 |
| Sex | 2,347 | 2,001 | |||||||||
| Male | 1,918 | 864 (45) | 1.11 (1.02;1.32) | <0.001 | 733 (38.2) | 1.23 (1.15;1.31) | <0.001 | 1,634 | 232 (14.2) | 1.00 | |
| Female | 429 | 167 (38.9) | 1.0 | 104 (24.2) | 1.00 | 367 | 68 (18.5) | 1.30 (1.02;1.66) | 0.04 | ||
| Age group (years) | 2,213 | 1,877 | |||||||||
| 0-14 | 60 | 14 (23.3) | 1.00 | 9 (15.0) | 1.00 | 51 | 6 (11.8) | 0.91 (0.41;1.98) | 0.82 | ||
| 15-29 | 601 | 353 (58.7) | 2.52 (1.58;4.00) | <0.001 | 322 (53.6) | 3.57 (1.95;6.55) | <0.001 | 531 | 69 (13.0) | 1.00 | |
| 30-49 | 913 | 434 (47.5) | 2.04 (1.28;3.24) | <0.001 | 347 (38.0) | 2.53 (1.38;4.65) | <0.001 | 776 | 122 (15.7) | 1.21 (0.92;1.59) | 0.171 |
| > 49 | 639 | 172 (26.9) | 1.15 (0.72;1.86) | 0.549 | 109 (17.1) | 1.13 (0.61;2.12) | 0.684 | 519 | 93 (17.9) | 1.38 (1.03;1.84) | 0.03 |
| Marital status | 1,855 | 1,528 | |||||||||
| Single | 1,250 | 613 (49) | 1.43 (1.25;1.65) | <0.001 | 515 (41.2) | 1.83 (1.52;2.21) | <0.001 | 1,037 | 162 (15.6) | 1.07 (0.81;1.40) | 0.726 |
| Separated/divorced/widowed | 169 | 60 (35.5) | 1.04 (0.82;1.32) | 0.758 | 49 (29.0) | 1.29 (0.96;1.73) | 0.094 | 134 | 27 (20.1) | 1.05 (0.79;1.40) | 0.158 |
| Married/civil partnership | 436 | 149 (34.2) | 1.00 | 98 (22.5) | 1.00 | 357 | 53 (14.8) | 1.00 | |||
| Level of schooling | 1,732 | 1,412 | |||||||||
| Illiterate | 172 | 57 (33.1) | 1.00 | 39 (22.7) | 1.00 | 137 | 25 (18.2) | 1.27 (0.86;1.88) | 0.237 | ||
| Literate | 1,054 | 478 (45.4) | 1.37 (1.09;1.7) | 0.054 | 391 (37.1) | 1.64 (1.23;2.18) | <.001 | 877 | 126 (14.4) | 1.00 | |
| Complete elementary educa-tion | 127 | 67 (52.8) | 1.60 (1.22;2.08) | 0.003 | 58 (45.7) | 2.01 (1.44;2.81) | <0.001 | 96 | 14 (14.6) | 1.02 (0.61;1.69) | 0.954 |
| Complete high school educa-tion | 296 | 138 (46.6) | 1.40 (1.10;1.79) | 0.033 | 116 (39.2) | 1.72 (1.27;2.35) | <0.001 | 238 | 42 (17.6) | 1.23 (0.89;1.69) | 0.21 |
| Higher education | 83 | 32 (38.6) | 1.16 (0.82;1.64 | 0.657 | 21 (25.3) | 1.11 (0.70;1.77) | 0.624 | 64 | 11 (17.2) | 1.2 (0.68;2.10) | 0.538 |
| Occupation | 1,263 | 1,144 | |||||||||
| Student | 137 | 76 (55.5) | 1.71 (1.28;2.35 | <0.001 | 65 (47.4) | 1.82 (1.28;2.58) | 0.005 | 127 | 19 (15.0) | 0.99 (0.63;1.54) | 0.959 |
| Agriculture, industry, services and commerce | 893 | 402 (45.0) | 1.41 (1.07;1.85 | 0.008 | 338 (37.8) | 1.45 (1.06;1.99) | 0.013 | 806 | 122 (15.1) | 1.00 | |
| Civil service | 114 | 49 (43.0) | 1.34 (0.96;1.88 | 0.073 | 40 (35.1) | 1.34 (0.91;1.99) | 0.135 | 102 | 19 (18.6) | 1.23 (0.79;1.91) | 0.360 |
| Retired/unemployed | 119 | 38 (31.9) | 1.00 | 31 (26.1) | 1.00 | 109 | 26 (23.9) | 1.58 (1.09;2.29) | 0.02 | ||
Taking the year 2015 as a basis, in 2018 there were significant differences in detection of cocaine (27.0%) and MDMA (9.6%). Cannabis (14.1%) had a greater share in 2016 compared to 2019. Regarding sex, males had significantly higher prevalence rates for cocaine (26.5%) and cannabis (12.9%). In the 15-29 age group, there was higher detection of cocaine (38.1%) and cannabis (26.0%). When examining occupations, taking retired/unemployed people as a basis, workers in the public sector and the sciences (31.4%), the agricultural, industrial and services sectors (21.9%) and students (7.60%) showed high prevalence for cocaine, while students had higher prevalence for cannabis (21.2%) (Table 4).
Table 4: Prevalence, prevalence ratio (PR) and confidence interval (95%CI) of the presence of cocaine, cannabis and ecstasy, Ceará, Brazil, 2015-2019
| Variable | Cocaine | Cannabis | Ecstasy | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Positive (%) | PR (95%CI) | p-value | Positive (%) | PR (95%CI) | p-value | n | Positive (%) | PR (95%CI) | p-value | |
| Year | 4,198 | 3,840 | |||||||||
| 2015 | 1,511 | 302 (20.0) | 1.00 | 202 (13.4) | 2.54 (1.67;3.85) | <0.001 | 1,511 | 8 (0.5) | 1.00 | ||
| 2016 | 963 | 212 (22.0) | 1.10 (0.94;1.29) | 0.226 | 136 (14.1) | 2.68 (1.75;4.11) | <0.001 | 960 | 17 (1.8) | 3.34 (1.44;7.71) | 0.005 |
| 2017 | 625 | 124 (19.8) | 0.99 (0.82;1.19) | 0.938 | 50 (8.0 ) | 1.52 (0.94;2.45) | 0.085 | 622 | 38 (6.1) | 11.5 (5.41;24.59) | <0.001 |
| 2018 | 662 | 179 (27.0) | 1.35 (1.15;1.59) | <0.001 | 77 (11.6) | 2.21 (1.41;3.46) | <0.001 | 645 | 62 (9.6) | 18.1 (8.74;37.69) | <0.001 |
| 2019 | 437 | 95 (21.7) | 1.09 (0.87;1.33) | 0.423 | 23 (5.3) | 1.00 | 102 | 2 (2.0) | 3.70 (0.79;17.21) | 0.097 | |
| Sex | 2,347 | 2,001 | |||||||||
| Male | 1,918 | 509 (26.5) | 2.27 (1.74;2.98) | <0.001 | 247 (12.9) | 3.06 (1.92;4.89) | <0.001 | 1,634 | 73 (4.5) | 1.00 | 0.08 |
| Female | 429 | 50 (11.7) | 1.00 | 18 (4.2) | 1.00 | 367 | 25 (6.8) | 1.52 (0.98;2.34) | |||
| Age group (years) | 2,213 | 1,877 | |||||||||
| 0-14 | 60 | 3 (5.0) | 0.88 (0.28;2.79) | 0.083 | 3 (5.0) | 1.88 (0.57;6.23) | 0.307 | 51 | 4 (7.8) | 2.60 (0.90;7.49) | 0.082 |
| 15-29 | 601 | 229 (38.1) | 6.76 (4.85;9.44) | <0.001 | 156 (26.0) | 9.75 (5.99;15.89) | <0.001 | 531 | 16 (3.0) | 1.00 | |
| 30-49 | 913 | 253 (27.7) | 4.91 (3.52;6.87) | <0.001 | 69 (7.6) | 2.84 (1.69;4.78) | <0.001 | 776 | 38 (4.9) | 1.62 (0.91;2.88) | 0.096 |
| > 49 | 639 | 36 (5.6) | 1.00 | 17 (2.7) | 1.00 | 519 | 37 (7.1) | 2.36 (1.33;4.19) | 0.003 | ||
| Marital status | 1,855 | 1,528 | |||||||||
| Single | 1,250 | 357 (28.6) | 2.04 (1.60;2.61) | <0.001 | 169 (13.5) | 3.1 (1.95;4.92) | <0.001 | 1,037 | 61 (5.9) | 1.31 (0.77;2.24) | 0.679 |
| Separated/divorced/widowed | 169 | 29 (17.2) | 1.23 (0.82;1.84) | 0.327 | 7 (4.1) | 0.95 (0.41;2.22) | 0.907 | 134 | 8 (6.0) | 1.33 (0.58;3.04) | 0.497 |
| Married/civil partnership | 436 | 61 (14.0) | 1.00 | 19 (4.4) | 1.00 | 357 | 16 (4.5) | 1.00 | |||
| Level of schooling | 1,732 | 1,412 | |||||||||
| Illiterate | 172 | 17 (9.9) | 0.68 (0.34;1.36) | 0.284 | 12 (7.0) | 0.96 (0.37;2.48) | 0.25 | 137 | 11 (8.0) | 1.60 (0.84;3.28) | 0.350 |
| Literate | 1,054 | 279 (26.5) | 1.83 (1.07;3.11) | 0.018 | 120 (11.4) | 1.57 (0.71;3.47) | 0.941 | 877 | 44 (5.0) | 1.00 | |
| Complete elementary education | 127 | 45 (35.4) | 2.45 (1.38;4.35) | 0.001 | 18 (14.2) | 1.96 (0.81;4.73) | 0.129 | 96 | 4 (4.2) | 0.83 (0.30;2.26) | 0.534 |
| Complete high school education | 296 | 80 (27.0) | 1.86 (1.07;3.25) | 0.02 | 28 (9.5) | 1.3 (0.56;3.05) | 0.531 | 238 | 15 (6.3) | 1.25 (0.71;2.21) | 0.308 |
| Higher education | 83 | 12 (14.5) | 1.00 | 6 (7.2) | 1.00 | 64 | 6 (9.4) | 1.86 (0.82;4.21) | 0.456 | ||
| Occupation | 1,263 | 1,144 | |||||||||
| Student | 137 | 9 (7.6) | 4.15 (2.11;8.15) | <0.001 | 29 (21.2) | 6.03 (2.18;16.65) | <0.001 | 127 | 7 (5.5) | 1.13 (0.52;2.49) | 0.745 |
| Agriculture, industry, services, commerce | 893 | 25 (21.9) | 3.54 (1.87;6.69) | 0.003 | 99 (11.1) | 3.16 (1.18;8.42) | <0.001 | 806 | 39 (4.8) | 1.00 | |
| Civil service | 114 | 43 (31.4) | 2.90 (1.41;5.94) | <0.001 | 4 (3.5) | 1.00 | 102 | 8 (7.8) | 1.62 (0.77;3.37) | 0.201 | |
| Retired/unemployed | 119 | 1.00 | 2 (1.7) | 0.48 (0.09;2.56) | 0.389 | 109 | 11 (10.0) | 2.08 (1.10;3.94) | 0.027 | ||
Table 5 shows the prevalence of licit and illicit substances in different types of death in relation to accidental deaths. The results show that, regarding deaths due to suicide, there was a higher prevalence of licit substances (52.3%), benzodiazepines (29.5%) and tricyclic antidepressants (15.6%). In the case of suspicious deaths, 45.3% tested positive for licit substances, with 15.9% for benzodiazepines and 5.9% for tricyclic antidepressants. Deaths related to detection of illicit substances were significantly frequent in cases of homicides (51.7%), followed by suspicious deaths (39.8%). Cocaine (28.2%) had a significant participation in suspicious deaths, while in homicides cocaine (28.2%), followed by cannabis (27.1%), were the most prevalent substances among the drugs studied.
Table 5: Prevalence, prevalence ratio (PR) and confidence interval (95%CI) of the presence of licit and illicit psychoactive substances with type of death, Ceará, Brazil, 2015-2019
| Types of death | Licit substances | Benzodiazepines | Tricyclic antidepressants | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| n | Positive (%) | PR (95%CI) | p-value | Positive (%) | PR (95%CI) | p-value | Positive (%) | PR (95%CI) | p-value | |
| Accidental | 438 | 155 (35.4) | 1.00 | 59 (13.5) | 1.00 | 13 (3.0) | 1.00 | |||
| Homicide | 203 | 67 (33.0) | 0.93 (0.74;1.18) | 0.555 | 29 (14.3) | 0.93 (0.62;1.40) | 0.730 | 3 (1.5) | 0.50 (0.14;1.73) | 0.260 |
| Suicide | 237 | 124 (52.3) | 1.48 (1.24;1.76) | <0.001 | 70 (29.5) | 2.11 (1.56;2.84) | <0.001 | 37 (15.6) | 5.26 (2.85;9.70) | <0.001 |
| Suspicious | 1,094 | 496 (45.3) | 1.28 (1.11;1.48) | <0.001 | 174 (15.9) | 1.22 (0.94;1.60) | 0.133 | 65 (5.9) | 2.00 (1.12;3.59) | <0.001 |
| Other | 56 | 28 (50.0) | 1.41 (1.06;1.89) | 0.033 | 12 (21.4) | 1.54 (0.90;2.64) | 0.127 | 3 (5.4) | 1.80 (0.53;6.14) | 0.341 |
| Types of death | Illicit substances | Cocaine | Cannabis | |||||||
| n | Positive | (%) | PR | Positive | (%) | PR | Positive | (%) | PR | |
| Accidental | 438 | 103 (23.5) | 1.00 | 65 (14.8) | 1.00 | 31 (7.1) | 1.00 | |||
| Homicide | 203 | 105 (51.7) | 2.20 (1.77;2.73) | <0.001 | 57 (28.1) | 1.89 (1.38;2.59) | <0.001 | 55 (27.1) | 3.83 (2.55;5.75) | <0.001 |
| Suicide | 237 | 61 (25.7) | 1.09 (0.83;1.44) | 0.521 | 37 (15.6) | 1.05 (0.73;1.53) | 0.789 | 13 (5.5) | 0.78 (0.41;1.45) | 0.424 |
| Suspicious | 1,094 | 435 (39.8) | 1.69 (1.41;2.03) | <0.001 | 308 (28.2) | 1.90 (1.49;2.42) | <0.001 | 111 (10.1) | 1.43 (0.98;2.10) | 0.061 |
| Other | 56 | 16 (28.6) | 1.21 (0.78;1.90) | 0.405 | 11 (19.6) | 1.32 (0.74;2.35) | 0.348 | 4 (7.1) | 1.01 (0.37;2.75) | 0.985 |
DISCUSSION
Between 2015 and 2019, we found that prevalence of deaths with detection of at least one psychoactive substance was high. The most frequent substances detected by toxicology tests were benzodiazepines and cocaine. The majority of individuals involved in these cases were male, young adults, single, with a basic level of literacy and worked in activities related to the agricultural, industrial, services and commerce sectors. Suspicious/undetermined types of death predominated, while predominant causes of death were poisoning and firearm projectile. The most prevalent illicit drugs among young male adults were cocaine and cannabis; amphetamine compounds were more frequent among females. Cocaine was linked to suspicious/undetermined deaths, and both cannabis and cocaine were linked to homicide cases.
In the cases of deaths assessed, the majority of affected individuals were male, young adults, single, with a low level of education. These findings corroborate results from similar studies. Research carried out in Warri, Nigeria, in 2020,13 based on necroscopic examinations, revealed that males (90.5%) and young adults between 21 and 30 years old (39.8%) were the most involved in these incidents. In a forensic medicine context, drug-related deaths were assessed in a study carried out in Atacama, Chile, between 2010 and 2018, revealing that individuals involved were male in 80.0% of cases.14 A study conducted in 2016,15 reported that in the cities of Joinville-SC and Maceió-AL, in Brazil, violent deaths associated with cocaine and cocaethylene occurred mainly among males and individuals in the 19-50 age group.
In our study, the toxicology tests showed the presence of at least one psychoactive substance in more than half of the cases of violent death assessed. Illicit drugs were detected in more than a third of these cases. A study carried out in, Brasília, Brazil, between 2006 and 2008,16 reported that at least one substance (drug or other toxic agent) was detected in 21.7% of the cases assessed, more frequently among young men, single men and men with a low level of schooling. Furthermore, another study, conducted in Parma, Italy, between 2009 and 2016, on forensic medicine investigations, revealed that 71.8% of men had positive toxicology test results.17
The tests examined in our study revealed that drugs from the benzodiazepine class and illicit drugs (cocaine and cannabis) were detected more frequently in young adult males. Regarding drugs and/or drug classes, we found high prevalence of benzodiazepines, followed by amphetamine compounds, meprobamate and opioids/opiates. According to a study,18 conducted in 2015, in Brazil, the most consumed medications that had not been prescribed or were different from the treatment indicated were benzodiazepines (3.9%), opiates (2.9%) and amphetamines (1.4%). Although medications bring significant benefits, inappropriate use can result in dependence, and they can even be used in the perpetration of crimes.
Previous studies indicate the indiscriminate use of benzodiazepines.19–21 Despite having low toxicity, they can cause serious adverse effects when used inappropriately or in combination with other substances.22 A study carried out at the Toxicological Information and Assistance Center, in Fortaleza, Ceará, Brazil, in 2013, showed that benzodiazepines were included among the main classes of drugs involved in cases of severe acute poisoning, sometimes fatal, resulting from suicide attempts.23
Given that they act as central nervous system depressants, benzodiazepines have been put in the food or drink of victims, with the intention of committing crimes against them, such as in cases of rape.8 For this reason, indiscriminate use has been associated with violence, crime and/or mortality.8,19,22
Violence can be perpetrated in a variety of ways,24 and varies depending on the sex of the victim. Among males, the most common causes of violent death are assaults and traffic accidents,25 while among females suicide is more prevalent.26 There is a strong relationship between use of psychoactive substances, licit and/or illicit, and the form of violence committed. This association has effects on different populations, be it in the form of victimization or perpetration of other crimes.27 As stated above, our study revealed that the types of psychoactive substances and their combinations varied according to age, sex and type of violent death. As such, among illicit substances, cocaine and cannabis were detected more frequently in male individuals. On the other hand, amphetamine compounds (methamphetamine and ecstasy) were present in greater proportions in females.
Licit substances had greater participation in suicide cases, followed by suspicious/undetermined deaths. Benzodiazepines and tricyclic antidepressants were the most involved in suicide deaths. In homicide cases, at least one illicit substance was present in the majority of victims, with greater involvement of cocaine and cannabis.
Studies conducted in South America, North America and Australia, between 2009 and 2021, pointed to the significant share of benzodiazepines, alone or in combination with other substances, as being responsible for acute exogenous poisonings, often resulting from suicide attempts or suicide itself.4,6,22,23 In 2016, a study4 in Florida/USA, reported that central nervous system depressant substances, such as benzodiazepines, meprobamate (a metabolite of carisoprodol), opiates and zolpidem, are more associated with accidental deaths and/or suicides. In 2009, a study carried out in Australia investigated the presence of psychoactive substances in cases of death due to homicide and suicide, and the presence of psychoactive substances was detected in 65.5% of cases; multiple drugs in 25.8%; illicit substances in 23.9%; and various illicit drugs in 5.3% of cases.6 In turn, another article22 reported that, in Hungary, between 1990 and 2001, selective serotonin reuptake inhibitors, barbiturates and benzodiazepines were the main substances causing deaths due to overdose in 79.0% of suicide cases.
The results obtained in our study indicated a trend of increasing association between illicit drugs and violent deaths, especially in the case of cocaine and cannabis. In cases of homicide, the victims who used illicit drugs were, for the most part, male, young adults, and the substances detected most frequently were cocaine and cannabis. As in cases of suspicious/undetermined death, cocaine was the most frequently detected substance. Researchs conducted in Chile,14 between 2010 and 2018, and in Brazil,15 between 2013 and 2015, demonstrated that substances associated with homicides were mainly cocaine and cannabis.
In Brazil, a study conducted in São Paulo, in 2019, showed the majority of victims who used cannabis and cocaine were male (82.2%) and over 30 years old (63.0%).7 In another study carried out in Vitória, in 2015, the authors analyzed 150 victims of homicides and found that 47.3% of them tested positive for cannabis, 36.7% for cocaine, and 20.6% for both substances.28 In Belo Horizonte, investigating association between drugs (ethanol and others) and homicide, from 2000 to 2009, the presence of cocaine and cannabis was detected in 25.1% of victims. 29
In our study, victims with a positive toxicology test result had a sociodemographic profile similar to that of drug users undergoing treatment at the Alcohol and Drugs Psychosocial Care Center (Centro de Atenção Psicossocial – Álcool e Drogas) in Fortaleza, in 2018. This profile includes individuals who started using psychoactive substances when they were adolescents (63.6%), predominantly male (84.0%), with an average age of 38.9 years, low education (38.2%); and single, separated or divorced people accounting for 53.4% of records.30 Deaths, especially among young male adults, may be related to the effects of psychoactive substances, such as the disinhibition caused by ethanol and/or paranoid episodes by cocaine, that can result in violent behavior. Furthermore, these deaths may be related to exposure to violent places to buy drugs and to participation in criminal activities.7
It is a cross-sectional study based on secondary data, thus preventing inference of causality. Although associations between the presence of psychoactive substances and violent deaths are identifiable, it cannot be said that one causes the other. Some statistical techniques, such as regression models with control variables, were used to minimize confounding factors and strengthen the relationships found.
The positive results as to the presence of psychoactive substances in the samples analyzed were based on toxicology screening tests, of a presumptive nature. These tests require confirmation through additional analytical techniques, such as gas or liquid chromatography-mass spectrometry. Lack of confirmation can lead to false positive results. The data relating to the toxicology tests were treated with caution and interpreted in light of the set of information available. We highlight the importance of carrying out confirmatory analyses in future studies, which can contribute to the robustness of their conclusions.
The incompleteness of the data in the original records and the changes made to record system during the study period indicate a compromise with the quality and representativeness of the information collected. We made efforts to ensure data consistency and integrity by cross-checking and correcting inconsistencies whenever possible.
The results of this study demonstrated significant association between different types of legal death, demographic characteristics and toxicological profile, related to psychoactive substances in the state of Ceará. The data point to the prevalence of licit and/or illicit substances among young men, single men and those with low education levels. The distribution of these substances in the total number of related deaths showed frequent presence of benzodiazepines and cocaine. Furthermore, association between illicit drugs and homicide deaths was found, especially for cocaine and cannabis, while benzodiazepines and tricyclic antidepressants were strongly associated with suicide deaths.
The relationship between the types of legal death and the use of psychoactive substances indicates a significant contribution to years of life lost due to premature death. Identifying the profile of populations associated with these substances is crucial for the development of effective public policies to prevent and mitigate violent deaths.
Tabela 1: Características dos casos com exames toxicológicos post mortem realizados, Ceará, 2015-2019
| Características sociodemográficas | n | % |
|---|---|---|
| Sexo | 2.347 | 100,0 |
| Masculino | 1.918 | 81,7 |
| Feminino | 429 | 18,3 |
| Faixa etária (anos) | 2.212 | 100,0 |
| 0-4 | 31 | 1,4 |
| 5-14 | 28 | 1,3 |
| 15-29 | 601 | 27,2 |
| 30-49 | 913 | 41,3 |
| 50-59 | 298 | 13,5 |
| 60-69 | 178 | 8,0 |
| > 69 | 163 | 7,4 |
| Estado civil | 1.855 | 100,0 |
| Solteiro | 1.250 | 67,4 |
| Casado/união estável/viúvo/ | 436 | 23,5 |
| separado/divorciado | 169 | 9,1 |
| Escolaridade | 1.769 | 100,0 |
| Não alfabetizado | 172 | 9,7 |
| Alfabetizado | 1.054 | 59,6 |
| 1º grau completo | 127 | 7,2 |
| 2º grau completo | 296 | 16,7 |
| Superior completo | 83 | 4,7 |
| Não informado | 37 | 2,1 |
| Ocupação | 1.284 | 100,0 |
| Aposentado/desempregado/estudante | 265 | 20,6 |
| Agropecuário, industriais, serviços e comércio | 878 | 68,4 |
| Orgãos públicos | 141 | 11,0 |
| Local da morte | 1.215 | 100,0 |
| Hospital/unidade de pronto atendimento | 450 | 37,1 |
| Zona rural/via pública | 175 | 14,4 |
| Domicílio/unidade prisional | 148 | 13,0 |
| Endereço sem classificação | 443 | 36,5 |
| Tipo de morte | 2.030 | 100,0 |
| Suspeita | 1.095 | 53,9 |
| Acidental | 438 | 21,6 |
| Suicídio | 237 | 11,7 |
| Homicídio | 203 | 10,0 |
| Outros | 57 | 2,8 |
| Modo de morte | 1.609 | 100,0 |
| Afogamento | 59 | 3,7 |
| Arma branca | 6 | 0,4 |
| Choque elétrico | 14 | 0,9 |
| Enforcamento | 55 | 3,4 |
| Intoxicação | 223 | 13,9 |
| Projétil de arma de fogo | 200 | 12,4 |
| Queda da própria altura | 63 | 3,9 |
| Queda | 6 | 0,4 |
| Outros | 983 | 61,1 |
Tabela 2: Frequência de substâncias detectadas nos casos de mortes violentas, Ceará, 2015-2019
| Fármacos ou classes de fármacos detectados | Todos os casos | Origem hospitalar excluída | ||||
|---|---|---|---|---|---|---|
| n | Positivos | % | n | Positivos | % | |
| Benzodiazepínicos | 4.198 | 1.074 | 25,6 | 3.748 | 841 | 22,4 |
| Meprobamato | 357 | 26 | 7,3 | 269 | 19 | 7,1 |
| Opioides | 357 | 24 | 6,3 | 269 | 16 | 5,9 |
| Antidepressivos tricíclicos | 4.198 | 190 | 4,5 | 4.163 | 155 | 3,7 |
| Barbitúricos | 4.141 | 149 | 3,6 | 4.141 | 149 | 3,6 |
| Oxicodona | 357 | 12 | 3,4 | 269 | 9 | 3,3 |
| Fentanil | 357 | 29 | 8,7 | 269 | 7 | 2,8 |
| Tramadol | 357 | 12 | 3,4 | 269 | 5 | 1,9 |
| Opiáceos | 4.137 | 100 | 2,4 | 3.694 | 64 | 1,7 |
| Metadona | 4.125 | 38 | 0,9 | 3.684 | 27 | 0,7 |
| Zolpidem | 357 | 2 | 0,6 | 269 | 2 | 0,7 |
| Buprenorfina | 4.198 | 8 | 0,2 | 3.748 | 8 | 0,2 |
| Substâncias ilícitas | ||||||
| Cocaína | 4.198 | 912 | 21,7 | |||
| Maconha | 4.198 | 488 | 11,6 | |||
| Metanfetamina | 4.198 | 292 | 7,0 | |||
| 3,4-metilenodioximetanfetamina (MDMA, ecstasy) | 3.840 | 127 | 3,3 | |||
| Fenciclidina | 4.198 | 37 | 0,9 | |||
Tabela 3: Prevalência, razão de prevalência (RP) e intervalo de confiança (IC95%) da presença de substâncias psicoativas lícitas e ilícitas, Ceará, 2015-2019
| Variáveis | Substâncias lícitas e ilícitas | Substâncias ilícitas | Compostos anfetamínicos | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Positivos (%) | RP (IC 95 % ) | p-valor | Positivos (%) | RP (IC 95 % ) | p-valor | n | Positivos (%) | RP (IC 95 % ) | p-valor | |
| Ano | 4.198 | 3.840 | |||||||||
| 2015 | 1.511 | 533 (35,3) | 1,00 | 461 (30,5) | 1,00 | 1.511 | 115 (7,6 ) | 1,00 | |||
| 2016 | 963 | 360 (37.4) | 1,06 (0,95;1,18) | 0,287 | 312 (32,4) | 1,06 (0,94;1,19) | 0,323 | 960 | 74 (7,7 ) | 1,01 (0,76;1,34) | 0,93 |
| 2017 | 625 | 262 (41,9) | 1,19 (1,06;1,33) | 0,004 | 219 (35,0) | 1,14 (1,01;1,31) | 0,041 | 622 | 122 (19,6 ) | 2,58 (2,03;3,27) | <0,001 |
| 2018 | 662 | 324 (48,9) | 1,39 (1,25;1,54) | <0,001 | 284 (42,9) | 1,41 (1,25;1,58) | <0,001 | 645 | 139 (21,6 ) | 2,83 (2,25;3,56) | <0,001 |
| 2019 | 437 | 190 (43,5) | 1,23 (1,09;1,4) | 0,002 | 112 (25,6) | 0,84 (0,70;1,0) | 0,049 | 102 | 9 (8,8 ) | 1,16 (0,61;2,22) | 1,17 |
| Sexo | 2.347 | 2.001 | |||||||||
| Masculino | 1.918 | 864 (45) | 1,11 (1,02;1,32) | <0,001 | 733 (38,2) | 1,23 (1,15;1,31) | <0,001 | 1.634 | 232 (14,2) | 1,00 | |
| Feminino | 429 | 167 (38,9) | 1,00 | 104 (24,2) | 1,00 | 367 | 68 (18,5) | 1,30 (1,02;1,66) | 0,04 | ||
| Faixa etária (anos) | 2.213 | 1.877 | |||||||||
| 0-14 | 60 | 14 (23,3) | 1,00 | 9 (15,0) | 1,00 | 51 | 6 (11,8 ) | 0,91 (0,41;1,98) | 0,82 | ||
| 15-29 | 601 | 353 (58,7) | 2,52 (1,58;4,0) | <0,001 | 322 (53,6) | 3,57 (1,95;6,55) | <0,001 | 531 | 69 (13,0 ) | 1,00 | |
| 30-49 | 913 | 434 (47,5) | 2,04 (1,28;3,24) | <0,001 | 347 (38,0) | 2,53 (1,38;4,65) | <0,001 | 776 | 122 (15,7 ) | 1,21 (0,92;1,59) | 0,171 |
| > 49 | 639 | 172 (26,9) | 1,15 (0,72;1,86) | 0,549 | 109 (17,1) | 1,13 (0,61;2,12) | 0,684 | 519 | 93 (17,9 ) | 1,38 (1,03;1,84) | 0,03 |
| Estado civil | 1.855 | 1.528 | |||||||||
| Solteiro | 1.250 | 613 (49) | 1,43 (1,25;1,65) | <0,001 | 515(41,2) | 1,83 (1,52;2,21) | <0,001 | 1.037 | 162 (15,6 ) | 1,07 (0,81;1,40) | 0,726 |
| Separado/divorciado/viúvo | 169 | 60 (35,5) | 1,04 (0,82;1,32) | 0,758 | 49 (29,0) | 1,29 (0,96;1,73) | 0,094 | 134 | 27 (20,1 ) | 1,05 (0,79;1,40) | 0,158 |
| Casado/união estável | 436 | 149 (34,2) | 1,00 | 98 (22,5) | 1,00 | 357 | 53 (14,8 ) | 1,00 | |||
| Escolaridade | 1.732 | 1.412 | |||||||||
| Não alfabetizado | 172 | 57 (33,1) | 1,00 | 39 (22,7) | 1,00 | 137 | 25 (18,2 ) | 1,27 (0,86;1,88) | 0,237 | ||
| Alfabetizado | 1.054 | 478 (45,4) | 1,37 (1,09;1,7) | 0,054 | 391 (37,1) | 1,64 (1,23;2,18) | <0,001 | 877 | 126 (14,4 ) | 1,00 | |
| 1° grau completo | 127 | 67 (52,8) | 1,60 (1,22;2,08) | 0,003 | 58 (45,7) | 2,01 (1,44;2,81) | <0,001 | 96 | 14 (14,6 ) | 1,02 (0,61;1,69) | 0,954 |
| 2° grau completo | 296 | 138 (46,6) | 1,40 (1,10;1,79) | 0,033 | 116 (39,2) | 1,72 (1,27;2,35) | <0,001 | 238 | 42 (17,6 ) | 1,23 (0,89;1,69) | 0,21 |
| Superior | 83 | 32 (38,6) | 1,16 (0,82;1,64) | 0,657 | 21 (25,3) | 1,11 (0,70;1,77) | 0,624 | 64 | 11 (17,2 ) | 1,2 (0,68;2,10) | 0,538 |
| Ocupação | 1.263 | 1.144 | |||||||||
| Estudante | 137 | 76 (55,5) | 1,71 (1,28;2,35) | <0,001 | 65 (47,4) | 1,82 (1,28;2,58) | 0,005 | 127 | 19 (15,0 ) | 0,99 (0,63;1,54) | 0,959 |
| Agropecuário, industriais, serviços e comércio | 893 | 402 (45) | 1,41 (1,07;1,85) | 0,008 | 338 (37,8) | 1,45 (1,06;1,99) | 0,013 | 806 | 122 (15,1 ) | 1,00 | |
| Orgãos públicos | 114 | 49 (43) | 1,34 (0,96;1,88) | 0,073 | 40 (35,1) | 1,34 (0,91;1,99) | 0,135 | 102 | 19 (18,6 ) | 1,23 (0,79;1,91) | 0,360 |
| Aposentado/desempregado | 119 | 38 (31,9) | 1,00 | 31 (26,1) | 1,00 | 109 | 26 (23,9 ) | 1,58 (1,09;2,29) | 0,02 | ||
Tabela 4: Prevalência, razão de prevalência (RP) e intervalo de confiança (IC95%) da presença de cocaína, maconha e ecstasy, Ceará, 2015-2019
| Variáveis | Cocaína | Maconha | Ecstasy | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Positivos (%) | RP (IC 95 % ) | p-valor | Positivos (%) | RP (IC 95 % ) | p-valor | n | Positivos (%) | RP (IC 95 % ) | p-valor | |
| Ano | 4.198 | 3.840 | |||||||||
| 2015 | 1.511 | 302 (20,0) | 1,00 | 202 (13,4) | 2,54 (1,67;3,85) | <0,001 | 1.511 | 8 (0,5) | 1,00 | ||
| 2016 | 963 | 212 (22,0) | 1,10 (0,94;1,29) | 0,226 | 136 (14,1) | 2,68 (1,75;4,11) | <0,001 | 960 | 17 (1,8) | 3,34 (1,44;7,71) | 0,005 |
| 2017 | 625 | 124 (19,8) | 0,99 (0,82;1,19) | 0,938 | 50 (8,0) | 1,52 (0,94;2,45) | 0,085 | 622 | 38 (6,1) | 11,5 (5,41;24,59) | <0,001 |
| 2018 | 662 | 179 (27,0) | 1,35 (1,15;1,59) | <0,001 | 77 (11,6) | 2,21 (1,41;3,46) | <0,001 | 645 | 62 (9,6) | 18,1 (8,74;37,69) | <0,001 |
| 2019 | 437 | 95 (21,7) | 1,09 (0,87;1,33) | 0,423 | 23 (5,3) | 1,00 | 102 | 2 (2,0) | 3,70 (0,79;17,21) | 0,097 | |
| Sexo | 2.347 | 2.001 | |||||||||
| Masculino | 1.918 | 509 (26,5) | 2,27 (1,74;2,98) | <0,001 | 247 (12,9) | 3,06 (1,92;4,89) | <0,001 | 1.634 | 73 (4,5) | 1,00 | 0,08 |
| Feminino | 429 | 50 (11,7) | 1,00 | 18 (4,2) | 1,00 | 367 | 25 (6,8) | 1,52 (0,98;2,34) | |||
| Faixa etária (anos) | 2.213 | 1.877 | |||||||||
| 0-14 | 60 | 3 (5,0) | 0,88 (0,28;2,79) | 0,083 | 3 (5,0) | 1,88 (0,57;6,23) | 0,307 | 51 | 4 (7,8) | 2,60 (0,90;7,49) | 0,082 |
| 15-29 | 601 | 229 (38,1) | 6,76 (4,85;9,44) | <0,001 | 156 () 26,0 | 9,75 (5,99;15,89) | <0,001 | 531 | 16 (3,0) | 1,00 | |
| 30-49 | 913 | 253 (27,7) | 4,91 (3,52;6,87) | <0,001 | 69 (7,6) | 2,84 (1,69;4,78) | <0,001 | 776 | 38 (4,9) | 1,62 (0,91;2,88) | 0,096 |
| > 49 | 639 | 36 (5,6) | 1,00 | 109 (17,1) | 1,13 (0,61;2,12) | 0,684 | 519 | 37 (7,1) | 2,36 (1,33;4,19) | 0,003 | |
| Estado Civil | 1.855 | 1.528 | |||||||||
| Solteiro | 1.250 | 357 (28,6) | 2,04 (1,60;2,61) | <0,001 | 169 (13,5) | 3,1 (1,95;4,92) | <0,001 | 1.037 | 61 (5,9) | 1,31 (0,77;2,24) | 0,679 |
| Separado/divorciado/viúvo | 169 | 29 (17,2) | 1,23 (0,82;1,84) | 0,327 | 7 (4,1) | 0,95 (0,41;2,22) | 0,907 | 134 | 8 (6,0) | 1,33 (0,58;3,04) | 0,497 |
| Casado/união estável | 436 | 61 (14,0) | 1,00 | 19 (4,4) | 1,00 | 357 | 16 (4,5) | 1,00 | |||
| Grau de Instrução | 1.732 | 1.412 | |||||||||
| Não alfabetizado | 172 | 17 (9,9) | 0,68 (0,34;1,36) | 0,284 | 12 (7,0) | 0,96 (0,37;2,48) | 0,25 | 137 | 11 (8,0) | 1,60 (0,84;3,28) | 0,350 |
| Alfabetizado | 1.054 | 279 (26,5) | 1,83 (1,07;3,11) | 0,018 | 120 (11,4) | 1,57 (0,71;3,47) | 0,941 | 877 | 44 5,0) | 1,00 | |
| 1° grau completo | 127 | 45 (35,4) | 2,45 (1,38;4,35) | 0,001 | 18 (14,2) | 1,96 (0,81;4,73) | 0,129 | 96 | 4 (4,2) | 0,83 (0,30;2,26) | 0,534 |
| 2° grau completo | 296 | 80 (27,0) | 1,86 (1,07;3,25) | 0,02 | 28 (9,5) | 1,3 (0,56;3,05) | 0,531 | 238 | 15 (6,3) | 1,25 (0,71;2,21) | 0,308 |
| Superior | 83 | 12 (14,5) | 1,00 | 6 (7,2) | 1,00 | 64 | 6 (9,4) | 1,86 (0,82;4,21) | 0,456 | ||
| Ocupação | 1.263 | 1.144 | |||||||||
| Estudante | 137 | 9 (7,6) | 4,15 (2,11;8,15) | <0,001 | 29 (21,2) | 6,03 (2,18;16,65) | <0,001 | 127 | 7 (5,5) | 1,13 (0,52;2,49) | 0,745 |
| Agropecuário, industriais, serviços e comércio | 893 | 25 (21,9) | 3,54 (1,87;6,69) | 0,003 | 99 (11,1) | 3,16 (1,18;8,42) | <0,001 | 806 | 39 (4,8) | 1,00 | |
| Orgãos públicos | 114 | 43 (31,4) | 2,90 (1,41;5,94) | <0,001 | 4 (3,5) | 1,00 | 102 | 8 (7,8) | 1,62 (0,77;3,37) | 0,201 | |
| Aposentado/desempregado | 119 | 1,00 | 2 (1,7) | 0,48 (0,09;2,56) | 0,389 | 109 | 11 (10,0) | 2,08 (1,10;3,94) | 0,027 | ||
Tabela 5: Prevalência, razão de prevalência (RP) e intervalo de confiança (IC95%) da presença de substâncias lícitas e ilícitas com o tipo de morte, Ceará, 2015-2019
| Tipos de morte | Substâncias lícitas | Benzodiazepínicos | Antidepressivos tricíclicos | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| n | Positivos (%) | RP (IC 95 % ) | p-valor | Positivos (%) | RP (IC 95 % ) | p-valor | Positivos (%) | RP (IC 95 % ) | p-valor | |||
| Acidental | 438 | 155 (35,4) | 1,00 | 59 (13,5) | 1,00 | 13 (3,0) | 1,00 | |||||
| Homicídio | 203 | 67 33,0) | 0,93 (0,74;1,18) | 0,555 | 29 (14,3) | 0,93 (0,62;1,40) | 0,730 | 3 (1,5) | 0,50 (0,14;1,73) | 0,260 | ||
| Suicídio | 237 | 124 (52,3) | 1,48 (1,24;1,76) | <0,001 | 70 (29,5) | 2,11 (1,56;2,84) | <0,001 | 37 (15,6) | 5,26 (2,85;9,70) | <0,001 | ||
| Suspeita | 1094 | 496 (45,3) | 1,28 (1,11;1,48) | <0,001 | 174 (15,9) | 1,22 (0,94;1,60) | 0,133 | 65 (5,9) | 2,00 (1,12;3,59) | <0,001 | ||
| Outros | 56 | 28 (50,0) | 1,41 (1,06;1,89) | 0,033 | 12 (21,4) | 1,54 (0,90;2,64) | 0,127 | 3 (5,4) | 1,80 (0,53;6,14) | 0,341 | ||
| Tipos de morte | Substâncias ilícitas | Cocaína | Maconha | |||||||||
| n | Positivos (%) | RP (IC95%) | p-valor | Positivos (%) | RP (IC95%) | p-valor | Positivos (%) | RP (IC95%) | p-valor | |||
| Acidental | 438 | 103 (23,5) | 1,00 | 65 (14,8) | 1,00 | 31 (7,1) | 1,00 | |||||
| Homicídio | 203 | 105 (51,7) | 2,20 1,77;2,73) | <0,001 | 57 (28,1) | 1,89 (1,38;2,59) | <0,001 | 55 (27,1) | 3,83 (2,55;5,75) | <0,001 | ||
| Suicídio | 237 | 61 (25,7) | 1,09 (0,83;1,44) | 0,521 | 37 (15,6) | 1,05 (0,73;1,53) | 0,789 | 13 (5,5) | 0,78 (0,41;1,45) | 0,424 | ||
| Suspeita | 1094 | 435 (39,8) | 1,69 (1,41;2,03) | <0,001 | 308 (28,2) | 1,90 (1,49;2,42) | <0,001 | 111 (10,1) | 1,43 (0,98;2,10) | 0,061 | ||
| Outros | 56 | 16 (28,6) | 1,21 (0,78;1,90) | 0,405 | 11 (19,6) | 1,32 (0,74;2,35) | 0,348 | 4 (7,1) | 1,01 (0,37;2,75) | 0,985 | ||
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