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Brazilian Journal of Psychiatry

versão impressa ISSN 1516-4446versão On-line ISSN 1809-452X

Braz. J. Psychiatry vol.41 no.5 São Paulo set./out. 2019  Epub 18-Fev-2019

http://dx.doi.org/10.1590/1516-4446-2018-0054 

BRIEF COMMUNICATIONs

Suicidal behavior among substance users: data from the Second Brazilian National Alcohol and Drug Survey (II BNADS)

Renata R. Abdalla1  2 
http://orcid.org/0000-0001-9936-8937

André C. Miguel1  2 

Elisa Brietzke1  3 

Raul Caetano4 

Ronaldo Laranjeira1  2 

Clarice S. Madruga1  2 

1Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), São Paulo, SP, Brazil

2Instituto Nacional de Pesquisa em Álcool e Outras Drogas (INPAD), São Paulo, SP, Brazil

3Laboratório Interdisciplinar de Neurociências Clínicas (LINC), São Paulo, SP, Brazil

4Prevention Research Center, Auckland, CA, USA


ABSTRACT

Objective:

To investigate the prevalence rates of suicidal ideation (SI) and suicide attempts (SA) and their association with substance use in a nationally representative sample of Brazilians.

Methods:

The Second Brazilian National Alcohol and Drug Survey (II BNADS) is a household cross-sectional survey that investigated the consumption of psychotropic drugs and associated risk factors. This national probability sample survey used a multistage cluster design to select 4,607 participants aged 14 or older and had a total response rate of 77%. Illegal drug use, SI and SA were obtained by confidential self-report assessment.

Results:

SI and SA were reported by 9.9 and 5.4% of the sample, respectively. This prevalence was 20.8 and 12.4% among individuals with alcohol use disorders (AUD), 31.5 and 16.5% among cannabis users and 40.0 and 20.8% among cocaine users. After adjusting for demographic characteristics, tobacco use, family history of suicide and depression, both SI and SA were positively associated with AUD, cannabis and cocaine use.

Conclusion:

AUD, cannabis and cocaine use were significantly associated with SI and SA, even after the adjustments. Public health initiatives targeting suicide prevention should consider including assessment and management of substance misuse, and therapeutic approaches to substance misuse should include assessment of suicidality.

Key words: Suicidal ideation; suicide attempts; substance abuse; alcohol misuse

Introduction

Suicide is the second leading cause of death among young and middle-aged adults worldwide and is a public health priority for the World Health Organization.1 It is estimated that 800,000 people take their own lives every year worldwide, and low-and middle-income countries, with 75% of all cases, bear the brunt of this problem. The first epidemiological report about suicide in Brazil was announced in September 2017 and showed that an increase in the suicide rate had occurred between 2011 and 2015.2 Understanding which risk and protective factors interact in suicide behavior and how they do so can provide valuable information for the development of effective prevention programs.

Suicide is a complex behavior that probably results from an interaction between biological factors, including genetic predisposition, and a myriad of environmental and psychosocial variables.3 Besides common mental disorders, substance use disorders (SUD) might be the most well-known and studied factor associated with suicidal behaviors.4,5

This study aimed to investigate the prevalence rates of suicidal ideation (SI) and suicide attempts (SA) and their association with substance use in a nationally representative sample of Brazilians.

Methods

Sampling and procedures

The Second Brazilian National Alcohol and Drug Survey (II BNADS) was conducted between November 2011 and March 2012. A multistage cluster sampling procedure was used to select 4,607 individuals aged 14 years or older from the Brazilian household population, including an oversample of 1,157 adolescents. The overall response rate was 77%. Details about the survey’s methodology can be seen elsewhere.6 The final sample included in the present analysis was 4,225 individuals.

Ethics

This research protocol was approved by the ethics committee of the Universidade Federal de São Paulo and by the National Commission of Ethics in Research (61909615.0.0000.5505). All subjects provided written informed consent prior to enrollment.

Measurements

The present analysis focused on sociodemographic characteristics, history of SI and SA, data on substance use and the presence of major depressive disorder. To guarantee confidentiality, all questions about illicit substances and suicidality were privately self-reported by the participants, collected at the end of the interview in sealed envelopes and immediately placed in sealed bags in their presence.

Sociodemographic variables

All the main variables were assessed: gender, age, marital status, years of education and religion.

Suicidal behavior

Suicidal behavior was investigated with three yes/no questions: “Have you ever thought about taking your own life?”; “Have you ever tried to take your own life”; “Has someone in your family have ever committed suicide?”

Substance use

Cannabis and cocaine use were investigated with two yes/no questions: “Have you used cocaine in the last 12 months?” and “Have you used cannabis in the last 12 months?”

DSM-5 alcohol use disorder (AUD) was assessed with the Brazilian version of the Composite International Diagnostic Interview (CIDI 2.1).7 Although the II BNADS pre-dates the DSM-5, the questionnaire covered the eleven AUD criteria included in the DSM-5. For the purposes of this analysis, the presence of 2 or more criteria in the past 12 months was considered a positive diagnosis of AUD.

Depressive symptoms

Depressive symptoms were assessed using the validated Brazilian version of the 20-item Center for Epidemiological Studies Depression Scale (CES-D). This scale, which measures the patient’s experience of depressive symptomatology during the past week, was developed from items appearing in longer, well-validated depression scales. It was validated in Brazil with a cut-off point of 16.8 The total score (0 to 80) was calculated by summing the responses after reversing the positive effect items and was included as an index in multivariate models.

Statistical analysis

STATA version 13 was used for all statistical analyses.9 Given the multistage stratified sampling design, post-stratification weighting was used in all analyses to account for differing selection probabilities at each stage and for non-responses. “Svy” commands were used for all prevalence and association estimates. Associations with SI and SA were calculated using Poisson regression analysis with robust variance and adjusted for sociodemographic variables, depressive symptoms, and family history of suicide. All variables were mutually adjusted.

Results

Sample characteristics and descriptive analysis

A history of SI and SA was reported by 9.9 and 5.4% of the sample, respectively, with prevalences of 20.8 and 12.4% among participants with AUD, 31.5 and 16.5% among cannabis users and 40.0 and 20.8% among cocaine users, respectively. The prevalence rate of family history of suicide was 3%, and over 25% of the participants reported depressive symptomatology. Regarding substance use, 15.4% of the sample were tobacco smokers; the DSM-5 AUD rate was 8.6%. Cannabis and cocaine use in the last year were reported at less than 5 and 2%, respectively. It should be pointed out that all cocaine users were polydrug users.

SI, SA and sociodemographic characteristics

A history of SI and SA was significantly associated with female gender, a family history of suicide, and major depression. Regarding religious beliefs, although Catholicism was the most prevalent religion (Table 1), a complementary analysis was performed in which religion was transformed into a binary variable (yes/no), and the results indicated that it was a protective factor against SA (prevalence ratio [PR] = 0.7; 95% confidence interval [95%CI] 0.49-0.98). Compared to being in a relationship, being single, widowed or divorced was a risk factor for SI only.

Table 1 Sample characteristics, suicidal ideation and suicide attempt prevalence rates, and the association between sample characteristics and history of suicidal ideation and suicide attempts (n=4,225) 

Variable Total sample (n=4,225) History of suicidal ideation History of suicide attempt
n (%) PR (95%CI) n (%) PR (95%CI)
Total 100% 418 (9.9) 223 (5.4)
Sex
Male 1,884 (47.4) 139 (8.0) 1.00 60 (3.8) 1.00
Female 2,341 (52.7) 279 (11.7) 1.5 (1.2-1.8) 163 (6.8) 1.8 (1.3-2.6)
Age (in years)
< 18 1,026 (9.0) 96 (8.6) 1.00 43 (4.3) 1.00
18-35 1,349 (39.3) 146 (10.3) 1.2 (0.9-1.6) 27 (6.2) 1.7 (0.9-2.2)
36-59 1,259 (37.0) 148 (11.3) 1.3 (1.0-1.8) 23 (6.2) 1.1 (0.6-2.1)
60 or more 591 (14.7) 28 (6.4) 0.7 (0.4-1.3) 10 (1.8) 0.8 (0.4-1.6)
Years of education
< 3 years 489 (15.0) 38 (10.2) 1.00 19 (4.5) 1.00
3-8 years 1,412 (31.1) 166 (12.0) 1.2 (0.8-1.8) 95 (7.5) 1.7 (1.0-2.9)
9-12 years 1,524 (29.6) 141 (9.0) 0.9 (0.6-1.4) 75 (5.1) 1.1 (0.6-2.1)
13 or more 800 (24.3) 73 (8.3) 0.8 (0.5-1.3) 34 (3.4) 0.8 (0.4-1.6)
Marital status
Married 1,964 (57.2) 177 (8.9) 1.00 103 (4.9) 1.00
Single 1,723 (31.6) 184 (11.2) 1.3 (1.0-1.6) 88 (5.6) 1.2 (0.8-1.7)
Widower, divorced 538 (11.2) 57 (11.9) 1.3 (1.0-1.9) 32 (5.4) 1.2 (0.8-1.9)
Religion
Catholic 2,645 (63.4) 195 (7.5) 1.00 100 (4.1) 1.00
Evangelical 1,023 (23.8) 129 (13.1) 1.7 (1.4-2.2) 69 (7.4) 1.8 (1.3-2.6)
Other 144 (3.2) 22 (15.0) 2.0 (1.2-3.2) 11 (7.5) 1.8 (1.0-3.4)
None 413 (9.6) 71 (16.2) 2.1 (1.6-2.9) 43 (8.6) 2.1 (1.4-3.2)
Family history of suicide
No 4,008 (97.0) 387 (9.7) 1.00 203 (5.3) 1.00
Yes 122 (3.0) 26 (20.3) 2.1 (1.3-3.3) 19 (15.6) 2.4 (1.3-4.4)
Major depression
No 3,031 (74.1) 203 (6.5) 1.00 102 (3.4) 1.00
Yes 1,101 (25.9) 212 (20.4) 3.1 (2.4-4.0) 120 (11.5) 3.4 (2.5-4.7)
Smoker
No 3,660 (84.5) 307 (8.1) 1.00 151 (4.1) 1.00
Yes 565 (15.4) 111 (19.8) 2.4 (1.9-3.2) 72 (12.2) 3.0 (2.2-4.0)
Alcohol use disorder (DSM-5)*
No 3,918 (91.4) 349 (8.9) 1.00 179 (4.7) 1.00
Yes 307 (8.6) 69 (20.8) 2.3 (1.7-3.1) 44 (12.4) 2.6 (1.8-3.9)
Cannabis use*
No 3,873 (97.3) 386 (9.5) 1.00 187 (4.8) 1.00
Yes 99 (2.7) 32 (31.5) 3.5 (2.5-5.0) 16 (16.5) 3.4 (1.9-6.1)
Cocaine use*
No 3,990 (98.1) 379 (9.4) 1.00 199 (4.9) 1.00
Yes 60 (1.9) 23 (40.0) 4.3 (2.9-6.3) 13 (20.8) 4.2 (2.2-7.8)

95%CI = 95% confidence interval; PR = prevalence ratio.

*Adjusted for sociodemographic characteristics, tobacco use, family history of suicide and depressive symptoms. All variables were mutually adjusted.

Bold font indicates statistically significant associations.

Association between history of SI and SA with substance use

After adjusting for all sociodemographic variables, depressive symptoms, tobacco use and family history of suicide, we found significant associations between AUD (PR = 2.3; 95%CI 1.7-3.1), cannabis (PR = 3.5; 95%CI 2.5-5.0) and cocaine use (PR = 4.3; 95%CI 2.9-6.3), and history of SI. A history of SA was also associated with AUD (PR = 2.6; 95%CI: 1.8-3.9), cannabis use (PR = 3.4; 95%CI 1.9-6.1) and cocaine use (PR = 4.2; 95%CI 2.2-7.8).

Discussion

The SI and SA prevalence rates among this nationwide sample of Brazilians were 9.9 and 5.4%, respectively. These rates were higher than previously reported global lifetime prevalence rates for SI and SA (9.2 and 2.7%, respectively) in a cross-sectional study with data from 17 countries.10 The proximity between lifetime frequency of SI and SA is noteworthy since it diverges from the literature. Possible explanations for this include the way the questions were formulated in the survey, the exclusion of suicidal planning, and the use of the sealed envelope method to research suicidal behavior. Very few studies have investigated suicidality in Brazil and, to our knowledge, this is the first time that SI and SA have been assessed anonymously and confidentially in a representative sample of the Brazilian population.

Variables such as the presence of depressive symptoms, some personality traits, and specific stressors can act as a common trigger for both substance abuse and suicidal behavior.11 Confirming previous results in the literature,12 a history of SI and SA were significantly associated with female gender, a family history of suicide, and depression. We also found strong positive associations between AUD, cannabis and cocaine use and a history of SI and SA. The relationship between substance abuse and suicidality has been previously recognized in the literature, mainly under the assumption that alcohol and/or other drug misuse (including stimulants such as cocaine), can be triggers for suicidal thoughts and suicidal behaviour13 through pharmacological mechanisms that increase impulsivity and decrease risk perception. A recent literature review about cannabis use and suicidality highlighted the connection between chronic heavy use of cannabis with both SI and SA.14 However, an inverse relationship between them has also been previously identified, and when suicidal behavior precedes substance misuse, it is usually associated with some mental disorder.15 Therefore, the relationship between substance use and suicidal behavior appears to be reciprocal and multidirectional, and depression may be associated with both variables.

Our findings pave the way for more evidence-based and efficient prevention initiatives, since they highlight the importance of suicide prevention strategies among substance users, regardless of depressive symptoms. Furthermore, it seems that approaching SI as associated with mental disorders, such as substance abuse or depression, is critical to avoid SA.10

Certain limitations should be taken into considerations when interpreting the results of this study. Since this is a cross-sectional analysis we cannot establish causality. The sample size was a limitation for investigating data on illicit substance consumption (prevalence rates lower than 5%), which weakened the power of the multivariate analysis.

In conclusion, although Brazil has considerable rates of AUD and illicit drug use,6 there is a lack of data regarding the association between substance misuse and suicidality in the country. Our findings should underscore the need to address suicidality in SUD treatment. In addition, public policy on suicide prevention should necessarily target SUD prevention and intervention to prevent other negative outcomes.

Acknowledgments

This study was supported by grants from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) during the design and conduct of the survey and from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) during the data analysis and interpretation stages.

References

1. World Health Organization. Preventing suicide: a global imperative. Geneva: WHO; 2014. [ Links ]

2. Brasil, Ministério da Saúde, Secretaria de Vigilância em Saúde. Perfil epidemiológico das tentativas e óbitos por suicídio no Brasil e a rede de atenção à saáde. Bol Epidemiol. 2017;48:2-14. [ Links ]

3. Bando DH, Brunoni AR, Fernandes TG, Benseñor IM, Lotufo PA. Suicide rates and trends in Sao Paulo, Brazil, according to gender, age and demographic aspects: a joinpoint regression analysis. Rev Bras Psiquiatr. 2012;34:286-93. [ Links ]

4. Poorolajal J, Haghtalab T, Farhadi M, Darvishi N. Substance use disorder and risk of suicidal ideation, suicide attempt and suicide death: a meta-analysis. J Public Health (Oxf). 2016;38:e282-e91. [ Links ]

5. Borges G, Loera CR. Alcohol and drug use in suicidal behaviour. Curr Opin Psychiatry. 2010;23:195-204. [ Links ]

6. Abdalla RR, Madruga CS, Ribeiro M, Pinsky I, Caetano R, Laranjeira R. Prevalence of cocaine use in Brazil: data from the II Brazilian national alcohol and drugs survey (BNADS). Addict Behav. 2014;39:297-301. [ Links ]

7. Quintana MI, Andreoli SB, Jorge MR, Gastal FL, Miranda CT. The reliability of the Brazilian version of the Composite International Diagnostic Interview (CIDI 2.1). Braz J Med Biol Res. 2004;37:1739-45. [ Links ]

8. Batistoni SS, Neri AL, Cupertino AP. [Validity of the center for epidemiological studies depression scale among Brazilian elderly]. Rev Saude Publica. 2007;41:598-605. [ Links ]

9. StataCorp. Stata statistical software. College Station: StataCorp LP; 2013. [ Links ]

10. Nock MK, Borges G, Bromet EJ, Alonso J, Angermeyer M, Beautrais A, et al. Cross-national prevalence and risk factors for suicidal ideation, plans and attempts. Br J Psychiatry. 2008;192:98-105. [ Links ]

11. Joiner TE Jr, Buchman-Schmitt JM, Chu C. Do undiagnosed suicide decedents have symptoms of a mental disorder? J Clin Psychol. 2017;73:1744-52. [ Links ]

12. Schneider B, Bartusch B, Schnabel A, Fritze J. [Age and gender: confounders for axis I disorders as risk factors for suicide]. Psychiatr Prax. 2005;32:185-94. [ Links ]

13. Schneider B. Substance use disorders and risk for completed suicide. Arch Suicide Res. 2009;13:303-16. [ Links ]

14. Borges G, Bagge CL, Orozco R. A literature review and meta-analyses of cannabis use and suicidality. J Affect Disord. 2016;195:63-74. [ Links ]

15. Turecki G, Brent DA. Suicide and suicidal behaviour. Lancet. 2016;387:1227-39. [ Links ]

Recebido: 06 de Fevereiro de 2018; Aceito: 18 de Outubro de 2018

Correspondence: Renata Rigacci Abdalla, INPAD/UNIFESP, Departamento de Psiquiatria, Universidade Federal de São Paulo (UNIFESP), Rua Borges Lagoa, 570/82, CEP 04038-000, São Paulo, SP, Brazil. E-mail: rrigacciabdalla@gmail.com

Disclosure The authors report no conflicts of interest.

How to cite this article: Abdalla RR, Miguel AC, Brietzke E, Caetano R, Laranjeira R, Madruga CS. Suicidal behavior among substance users: data from the Second Brazilian National Alcohol and Drug Survey (II BNADS). Braz J Psychiatry. 2019;41:000-000. http://dx.doi.org/10.1590/1516-4446-2018-0054

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