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Illicit drug use among students of a university in Southern Brazil

ABSTRACT

OBJECTIVE

To describe drug consumption and the co-occurrence use of more than one illegal drug as well as associated factors in freshmen at a public university in Southern Brazil.

METHODS

Cross-sectional study with census of students entering undergraduate courses in 2017. A total of 1,788 university students answered questions about illicit drug use. For analysis, ordinal logistic regression was used.

RESULTS

Marijuana was the most consumed drug (lifetime: 42.1%; 30-day use: 22.7%), followed by hallucinogens (lifetime: 13.1%, 30-day use: 2.8%). Rates for lifetime use of 0, 1 and 2 or more drugs were 56.2%, 23.3% and 20.4%, respectively, and were associated with men (OR = 2.2; 95%CI:1.4–3.5), being at least 23 years old (OR = 2.7; 95%CI: 1.4–5.1), under 18 years old first experimentation with drugs (OR = 2.3; 95%CI: 1.3–3.9) and living with friends (OR = 2.0; 95%CI: 1.2–3.4). Rates for 30-day use of 0, 1 and 2 or more drugs were 76.8%; 18.1% and 5.1%, respectively, and were associated with being single, separated or widowed (OR = 3.2; 95%CI: 1.4–7.0), lower socioeconomic classes (OR = 0.3; 95%CI: 0.1–1.1; p = 0.001), under 18 years old first experimentation with drugs (OR = 1.8; 95%CI: 1.1–2.9) and living with friends (OR = 1.8 95%CI: 1.2–2.8).

CONCLUSION

Results indicate that students are at greater risk of illicit drug-related health problems. Thus, a better understanding of this consumption should be pursued, as well as the development of a prevention plan.

Young Adult; Universities; Street Drugs; Drug-Seeking Behavior; Risk Factors

INTRODUCTION

It is estimated that 275 million people worldwide, approximately 5.6% of the world’s population aged between 15 and 64, used drugs at least once in 2016. Between 2000 and 2015, deaths due to drug use increased over 60%, of which approximately 168,000 were directly associated with drug-induced disorders (mainly overdoses). Furthermore, about 31 million people who used drugs suffered from use-related disorders11. United Nations Office on Drugs and Crime. World Drug Report 2018: global overview of drug demand and supply. Vienna: UNODC; 2018..

The university period is characterized by independence and distancing from parental supervision. In addition, it also features a transition period, including different living conditions from those of childhood and adolescence, new experiences, new bonds of friendship and family pressure22. Sommet A, Ferrières N, Jaoul V, Cadieux L, Soulat JM, Lapeyre-Mestre M, et al. Use of drugs, tobacco, alcohol and illicit substances in a French student population. Therapie. 2012;67(5):429-35. https://doi.org/10.2515/therapie/2012056
https://doi.org/10.2515/therapie/2012056...
. Experimentation with illicit drug use at this stage is evident worldwide22. Sommet A, Ferrières N, Jaoul V, Cadieux L, Soulat JM, Lapeyre-Mestre M, et al. Use of drugs, tobacco, alcohol and illicit substances in a French student population. Therapie. 2012;67(5):429-35. https://doi.org/10.2515/therapie/2012056
https://doi.org/10.2515/therapie/2012056...
, and the use of these substances within this period may increase66. Locke GW, Shilkret R, Everett JE, Petry NM. Interpersonal guilt and substance use in college students. Subst Abus. 2015;36(1):113-8. https://doi.org/10.1080/08897077.2014.885482
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. Thus, undesirable results are a public health concern77. Vázquez MJP, Oviedo AD, Olalde MGC. Life experience of adolescent drug users: a phenomenological approach. Rev Esc Enfermagem USP. 2018;52:e03349. https://doi.org/10.1590/s1980-220x2017042803349
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, including unsafe sex33. Mohammadpoorasl A, Ghahramanloo AA, Allahverdipour H, Augner C. Substance abuse in relation to religiosity and familial support in Iranian college students. Asian J Psychiatr. 2014;9:41-4. https://doi.org/10.1016/j.ajp.2013.12.015
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, depression88. Arria AM, Garnier-Dykstra LM, Cook ET, Caldeira KM, Vincent KB, Baron RA, et al. Drug use patterns in young adulthood and post-college employment. Drug Alcohol Depend. 2013;127(1-3):23-30. https://doi.org/10.1016/j.drugalcdep.2012.06.001
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, poor academic performance55. Bajwa HZ, Al-Turki ASA, Dawas AMK, Behbehani MQ, Al-Mutairi AMA, Al-Mahmoud S, et al. Prevalence and factors associated with the use of illicit substances among male university students in Kuwait. Med Princ Pract. 2013;22(5):458-63. https://doi.org/10.1159/000350609
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and dropouts88. Arria AM, Garnier-Dykstra LM, Cook ET, Caldeira KM, Vincent KB, Baron RA, et al. Drug use patterns in young adulthood and post-college employment. Drug Alcohol Depend. 2013;127(1-3):23-30. https://doi.org/10.1016/j.drugalcdep.2012.06.001
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.

In the United States, a national survey monitored the prevalence of drug use among students for 30 years, from eighth grade to adulthood, especially during the university phase99. Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future: national survey results on drug use, 1975-2008. Vol. II, College students and adults ages 19–50 Bethesda, MD: National Institute on Drug Abuse; 2010. (NIH Publication No. 09-7403).. Findings showed that 18.9% of university students admitted to using an illicit drug in the last 30 days, exceeding the 8% prevalence for the general population aged between 12 to 6599. Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future: national survey results on drug use, 1975-2008. Vol. II, College students and adults ages 19–50 Bethesda, MD: National Institute on Drug Abuse; 2010. (NIH Publication No. 09-7403).,1010. Substance Abuse and Mental Health Services Administration. Results from the 2008 National Survey on Drug Use and Health: national findings. Rockville, MD: Office of Applied Studies; 2009. (NSDUH Series H-36, HHS Publication No. SMA 09-4434).. In Brazil, according to the 2009 “First national survey on the use of alcohol, tobacco and other drugs among university students from 27 Brazilian capitals”, almost half of university students (48.7%) reported having used some illicit drug at least once in their lives, of which approximately one third (35.8%) had done so in the last 12 months and a quarter (25.9%) in the last 30 days. The most commonly used drugs within the 12 months before the survey were: marijuana (13.8%), amphetamines (10.5%), tranquilizers (8.4%), inhalants (6.5%) and hallucinogens (5%). Similarly, most frequently consumed drugs within the 30 days before the survey were: marijuana (9.1%), amphetamines (8.7%), tranquillizers (5.8%), inhalants (2.9%) and hallucinogens (2.8%)1111. Andrade AG, Duarte PCAV, Oliveira LG, organizadores. I Levantamento Nacional sobre o Uso de Álcool, Tabaco e outras Drogas entre Universitários das 27 Capitais Brasileiras. Brasília, DF: Secretaria Nacional de Políticas sobre Drogas; 2010..

Numerous social-, demographic-, economic- and family-related factors in this population are associated with substance use. Among many coexisting risk factors, there were: being male1212. Andrade AG, Duarte PCAV, Barroso LP, Nishimura R, Alberghini DG, Oliveira LG. Use of alcohol and other drugs among Brazilian college students: effects of gender and age. Rev Bras Psiquiatr. 2012;34(3):294-305. https://doi.org/10.1016/j.rbp.2012.02.002
https://doi.org/10.1016/j.rbp.2012.02.00...
, having a higher family income1616. Silva LVER, Malbergier A, Stempliuk VA, Andrade AG. Fatores associados ao consumo de álcool e drogas entre estudantes universitários. Rev Saude Publica. 2006;40(2):280-8. https://doi.org/10.1590/S0034-89102006000200014
https://doi.org/10.1590/S0034-8910200600...
, presenting other lifestyle characteristics and risk behaviors such as smoking and alcohol consumption33. Mohammadpoorasl A, Ghahramanloo AA, Allahverdipour H, Augner C. Substance abuse in relation to religiosity and familial support in Iranian college students. Asian J Psychiatr. 2014;9:41-4. https://doi.org/10.1016/j.ajp.2013.12.015
https://doi.org/10.1016/j.ajp.2013.12.01...
, and living with friends or people who use drugs1414. Kracmoravá L, Klusonová H, Petrelli F, Grappasonni. Tobacco, alcohol and illegal substances: experiences and attitudes among Italian university students. Rev Assoc Med Bras. 2011;57(5):523-8. https://doi.org/10.1590/S0104-42302011000500009
https://doi.org/10.1590/S0104-4230201100...
. On the other hand, protective factors included religious practice and living with relatives33. Mohammadpoorasl A, Ghahramanloo AA, Allahverdipour H, Augner C. Substance abuse in relation to religiosity and familial support in Iranian college students. Asian J Psychiatr. 2014;9:41-4. https://doi.org/10.1016/j.ajp.2013.12.015
https://doi.org/10.1016/j.ajp.2013.12.01...
,44. Suerken CK, Reboussin BA, Sutfin EL, Wagoner KG, Spangler J, Wolfson M. Prevalence of marijuana use at college entry and risk factors for initiation during freshman year. Addict Behav. 2014;39(1):302-7. https://doi.org/10.1016/j.addbeh.2013.10.018
https://doi.org/10.1016/j.addbeh.2013.10...
, family communication1717. Beebe LA, Vesely SK, Oman RF, Tolma E, Aspy CB, Rodine S. Protective assets for non-use of alcohol, tobacco, and other drugs among urban American Indian youth in Oklahoma. Matern Child Health J. 2008;12 Suppl 1:S82-90. https://doi.org/10.1007/s10995-008-0325-5
https://doi.org/10.1007/s10995-008-0325-...
and commitment to education1818. Heavyrunner-Rioux AR, Hollist DR. Community, family, and peer influences on alcohol, marijuana, and illicit drug use among a sample of Native American youth: an analysis of predictive factors. J Ethn Subst Abus. 2010;9(4):260-83. https://doi.org/10.1080/15332640.2010.522893
https://doi.org/10.1080/15332640.2010.52...
.

Due to the potential damage on physical and mental health, acknowledging university students simultaneous consumption of more than one illicit drug has become increasingly important1919. Martin CS. Timing of alcohol and other drug use. Alcohol Res Health. 2008;31(2):96-9.. Although many studies have evaluated illicit drug use in this population1414. Kracmoravá L, Klusonová H, Petrelli F, Grappasonni. Tobacco, alcohol and illegal substances: experiences and attitudes among Italian university students. Rev Assoc Med Bras. 2011;57(5):523-8. https://doi.org/10.1590/S0104-42302011000500009
https://doi.org/10.1590/S0104-4230201100...
,1515. Dhanookdhary AM, Gomes AM, Singh N, Khan R, Lall A, Murray D, et al. Substance use among university students at the St Augustine Campus of the University of the West Indies. West Indian Med J. 2010;59(6):641-9.,2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
, the simultaneous use of more than one substance has not been thorough studied. Thus, our study aimed to describe drug consumption among university students and evaluate the co-occurrence consumption of more than one illicit drug, including associated factors.

METHODS

Using a census format, this cross-sectional university-based study was conducted with undergraduate students enrolled at the Universidade Federal de Pelotas (UFPel) in 2017 to determine this population’s health characteristics. This was a census study conducted by the UFPel Graduate Epidemiology Program and is part of the University Student Health – UFPel (SEU) research consortium. UFPel is located in the south of Rio Grande do Sul and was created in 1969. It has 96 presential courses, receiving about 3,000 new students each semester. In 2018, the University had 16,461 undergraduate students (http: // portal. ufpel.edu.br/historico).

A previously tested digital version of the questionnaire was developed in the REDCap (Research Electronic Data Capture) system2424. Harris PA, Taylor R, Thielke R, Payne J, Gonzalez N, Conde JG. Research Electronic Data Capture (REDCap): a metadata-driven methodology and workflow process for providing translational research informatics support. J Biomed Inform. 2009;42(2):377-81. https://doi.org/10.1016/j.jbi.2008.08.010
https://doi.org/10.1016/j.jbi.2008.08.01...
. The questionnaire consisted of two blocks: general and specific. The general block included questions regarding the subject’s general data such as sex, age, major, socioeconomic level, marital status, etc. The specific block included questions of interest, such as drug consumption. The questionnaire was anonymous and self-applied using tablets.

Data were collected from November 2017 to May 2018. To facilitate student recruitment, the University provided information to all 2017 first-semester students. Course coordinators and professors were contacted to reserve time so students could answer the questionnaire, which took approximately 40 minutes. Teams of master’s students were allocated in each classroom to answer the students’ questions.

All students enrolled in UFPel degree programs for the first semester of 2017, either in their second or third semesters at the time of the interview, and aged 18 years or older were considered eligible for the study. So, as the study consisted of a census, every student who entered any degree program in 2017 and was still attending the course during data collection was invited to answer the survey. Those enrolled in distance learning programs or who had a visual or hearing impairment or any other condition preventing them from responding to the questionnaire were considered ineligible.

Dependent variables included use of cocaine, solvents and inhalants (loló/lança-perfume [chloroform and ether base], rubber cement, paint thinner, benzene, nail polish, gasoline), ecstasy (MDMA), hallucinogens (LSD, mushroom or lily tea) and marijuana. The questionnaire was based on the II Second National Survey on Drugs and Alcohol2525. Laranjeira R, supervisor, Madruga CS, Pinsky I, Caetano R, Mitsuhiero SS, Castello G. II Levantamento Nacional de Álcool e Drogas (LENAD). São Paulo: Instituto Nacional de Ciência e Tecnologia para Políticas Públicas de Álcool e Outras Drogas (INPAD); UNIFESP; 2014., whose questions evaluated both lifetime and 30 days prior consumption categorized into the following rates: 0 = no use, 1 = used one drug, 2+ = used two or more drugs.

Independent variables were: sex (female, male); age (18–19, 20–22, and ≥ 23 years), used to avoid categories with very few individuals; skin color (white, black/brown/other); marital status (married or single/separated/widowed); religious practice (yes, no); living situation (with family/partner, alone, with friends); socioeconomic level (based on Brazilian Association of Research Companies [Abep] criteria: classes A, B, C, D and E)2626. Pilli L, coordenador, Suzzara B, Alves M, Reis M, Yamakawa P, Nunes R, et al. Criterio de classificação econômica-2015. São Paulo: Associação Brasileira de Empresas de Pesquisa (ABEP); 2016.; major depression (based on the Patient Health Questionnaire-9, with a cutoff point of ≥ 9);2727. Santos IS, Tavares BF, Munhoz TN, Almeida LSP, Silva NTB, Tams BD, et al. Sensibilidade e especificidade do Patient Health Questionnaire-9 (PHQ-9) entre adultos da população geral. Cad Saude Publica. 2013;29(8):1533-43. https://doi.org/10.1590/0102-311X00144612
https://doi.org/10.1590/0102-311X0014461...
stressful events (including giving up or postponing important moments of leisure, having financial problems or feeling worried, anxious, discouraged, or tense because of the academic activities; feeling alone or lacking support; suffering discrimination from peers or professors; being pressured to perform well; being verbally or physically assaulted by peers; experiencing conflict with professor(s); undergoing changes in living habits; being disappointed with teaching quality), scored on the following scale: happened, but did not affect me; happened, but I was little affected; happened, and I was partially affected; happened and deeply affected me; did not happen to me. The last variable was dichotomized later, with stressor events coded as “yes” only in cases in which participants reported having been deeply affected by at least one event; area of major (exact sciences and soil sciences/agronomy, health and biological sciences, applied social sciences and humanities, linguistics, arts and languages), morning or evening classes, and age of first experience with alcohol, tobacco or drugs (< 18 or ≥ 18 years).

Statistical analyses were performed using Stata 12.1® (Stata Corp., College Station, Texas, USA). Initially, a descriptive analysis of independent variables and outcomes was performed. For associations between them, ordinal logistic regression was used to provide the crude and adjusted odds ratios and their respective 95% confidence intervals (95%CI). Possible confounding factors were analyzed following a conceptual model, and variables considered relevant were included in the bivariate analysis.

The study was approved by the UFPel Ethics Committee of Faculdade de Medicina (Protocol No. 79250317.0.0000.5317). The study was explained, including assurances of secrecy and confidentiality, to all participants, who signed an informed consent form.

RESULTS

A total of 2,706 students were considered eligible for the survey. After successive contact attempts, there were 792 losses and 49 denials, comprising 31.1% of the total sample. Among these, 52.8% were men, 46.7% were 23 years old or older, and 38.3% were exact sciences and soil sciences/agronomy majors. The final sample comprised 1,865 students, of which 77 did not present complete information on illicit drug issues and were excluded from the analyses. There were 1,788 participants remaining, of whom 54.6% were women, and 72.2% reported being white (Table 1). Most of them were among the 18-22 age range (74.1%), with a mean age of 22.2 years (± 6.6 years). A total of 91.4% of the participants were either single, separated or widowed, and 59.2% were from the two highest social classes (A and B). Approximately 68.2% reported no religious practice, 61.8% lived with family members or partners, 55.5% presented depression symptoms, and 14.7% had undergone a stressful event. Regarding major, 34.5% were enrolled in applied social sciences and humanities courses, and the majority (53.6%) studied during the morning.

Table 1
Demographic, socioeconomic, behavioral, and academic profile of university students aged 18 years or older. Pelotas, Brazil, 2018 (n = 1,788).

Figure shows the prevalence of lifetime and 30-day drug use and consumption rates. Lifetime rates for 0, 1 and 2 or more drugs were 56.2%, 23.3% and 20.4%, respectively; 30-day use rates for 0, 1 and 2 or more drugs were 76.8%, 18.1% and 5.1%, respectively. Marijuana was the most frequently used drug, with lifetime and 30-day use rates of 42.1% and 22.7%, respectively, followed by hallucinogens (lifetime: 13.1%; 30-day use: 2.8%). The least common drugs were solvents and inhalants (lifetime use: 9.9%; 30-day use: 1.5%) and cocaine (lifetime: 9.9%; 30-day use: 1.8%) (Figure).

Figure
Prevalence of drug use among university students aged 18 or older in lifetime and 30 days before the survey, Pelotas, RS, 2018.

Table 2 describes factors associated with lifetime drug use rates. After adjustment for possible confounding factors, men were 2.2 times more likely (95%CI: 1.4–3.5) to be in a higher drug consumption category than women (p = 0.001), and individuals aged 23 years or older were 2.7 times more likely (95%CI: 1.4–5.1) to be in a higher consumption category than 18 to 19-year-olds (p = 0.003). Those who first experimented with drugs before the age of 18 were 2.3 times more likely (95%CI: 1.3–3.9) to be in a higher consumption category than those who first experimented with drugs at 18 or older (p = 0.003). Those who reported experimenting drugs with friends were twice as likely (95%CI: 1.2–3.4) to be in a higher drug consumption category than those who lived with relatives or partners (p = 0.020).

Table 2
Factors associated with lifetime drugs use rate (0, 1, 2+) among university students aged 18 or older.

Table 3 shows factors associated with 30-day drug use rates. Individuals who were single, separated or widowed were 3.2 times more likely (95%CI: 1.4–7.0) to be in a higher consumption category than those married or in stable union (p = 0.005). Regarding socioeconomic level, those in class B and C had 0.5 (95%CI: 0.3–0.8) and 0.3 (95%CI: 0.2–0.5) times less chance, respectively, than those in class A (p = 0.001) to be in a higher consumption category. Those who experimented with drugs before the age of 18 were 1.8 times more likely (95%CI: 1.1–2.9) to be in a higher drug consumption category than those who did so at 18 or older (p = 0.019), as were those who reported living with friends (95%CI: 1.2–2.8) compared with those living with relatives or partners (p = 0.026).

Table 3
Factors associated with the 30 days before drugs use rate (0, 1, 2+) among university students aged 18 or older.

DISCUSSION

This study described the consumption of illicit drugs among university students and assessed consumption rates, as well as their associated factors. Marijuana was the illicit drug most commonly consumed by students, followed by hallucinogens. Regarding associated factors, being male, 23 years old or older, having experimented with drugs before the age of 18 and living alone or with friends were risk factors for lifetime drug use; being single, separated or widowed, having higher income, and having experimented with drugs before the age of 18 were risk factors for consumption in the 30 days prior to the interview.

Rates used in this study described the prevalence of having used no drugs, at least one drug and two or more drugs. Pilatti et al.2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
(2013) found a 33.3% lifetime prevalence for using at least one drug (marijuana, cocaine, inhalant or ecstasy) and a 17.4% 30-day prevalence. Although 30-day use prevalence were similar to that found in this study, our lifetime use prevalence was higher.2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
As a higher prevalence could be expected, considering the study population was first to fifth year university students,2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
one possible justification would be that Pilatti et al.2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
(2013) did not evaluate hallucinogens, the second most commonly used drug in this study. Andrade et al.1212. Andrade AG, Duarte PCAV, Barroso LP, Nishimura R, Alberghini DG, Oliveira LG. Use of alcohol and other drugs among Brazilian college students: effects of gender and age. Rev Bras Psiquiatr. 2012;34(3):294-305. https://doi.org/10.1016/j.rbp.2012.02.002
https://doi.org/10.1016/j.rbp.2012.02.00...
(2012) interviewed university students nationwide from all years and found 48.7% lifetime prevalence for the use of one drug and 25.9% for 30-day use, slightly higher than those observed in our study. This could be due to the fact that these authors included more drug varieties than this study did (as amphetamines, anticholinergics, tranquilizers, opioid analgesics, barbiturates, anabolic androgenic steroids), as well as that students were evaluated in later university years.

Although many studies have reported marijuana as the most commonly used illicit drug by university students1414. Kracmoravá L, Klusonová H, Petrelli F, Grappasonni. Tobacco, alcohol and illegal substances: experiences and attitudes among Italian university students. Rev Assoc Med Bras. 2011;57(5):523-8. https://doi.org/10.1590/S0104-42302011000500009
https://doi.org/10.1590/S0104-4230201100...
,1616. Silva LVER, Malbergier A, Stempliuk VA, Andrade AG. Fatores associados ao consumo de álcool e drogas entre estudantes universitários. Rev Saude Publica. 2006;40(2):280-8. https://doi.org/10.1590/S0034-89102006000200014
https://doi.org/10.1590/S0034-8910200600...
,2020. Pilatti A, Caneto F, Garimaldi JA, Vera BV, Pautassi RM. Contribution of time of drinking onset and family history of alcohol problems in alcohol and drug use behaviors in Argentinean college students. Alcohol Alcohol. 2013;49(2):128-37. https://doi.org/10.1093/alcalc/agt176
https://doi.org/10.1093/alcalc/agt176...
,2222. Antoniassi Júnior G, Gaya CM. Implicações do uso de álcool, tabaco e outras drogas na vida do universitário. Rev Bras Promoç Saude. 2015;28(1):67-74. https://doi.org/10.5020/18061230.2015.p67
https://doi.org/10.5020/18061230.2015.p6...
, others reported inhalants and solvents to be the most common1313. Canuto MHA, Ferreira RA, Guimarães EMB. Uso e abuso de drogas ilícitas por jovens do 1º ano da Universidade Federal de Goiás. Rev Paul Pediatr. 2006;24(2):135-42.,2828. Teixeira RF, Souza RS, Buaiz V, Siqueira MM. Uso de substâncias psicoativas entre estudantes de odontologia da Universidade Federal do Espírito Santo. Cienc Saude Coletiva. 2010;15(3):655-62. https://doi.org/10.1590/S1413-81232010000300007
https://doi.org/10.1590/S1413-8123201000...
. A nationwide Brazilian study found a lower prevalence of marijuana use (26.1% lifetime; 9.1% 30-day use), as well as lower lifetime prevalence for all other drugs except inhalants, whose prevalence was substantially higher (20.4%) than that of this study1111. Andrade AG, Duarte PCAV, Oliveira LG, organizadores. I Levantamento Nacional sobre o Uso de Álcool, Tabaco e outras Drogas entre Universitários das 27 Capitais Brasileiras. Brasília, DF: Secretaria Nacional de Políticas sobre Drogas; 2010.. Canuto et al.1313. Canuto MHA, Ferreira RA, Guimarães EMB. Uso e abuso de drogas ilícitas por jovens do 1º ano da Universidade Federal de Goiás. Rev Paul Pediatr. 2006;24(2):135-42. (2006) analyzed first-year Brazilian university students, finding greater lifetime inhalant consumption (23.0%)1313. Canuto MHA, Ferreira RA, Guimarães EMB. Uso e abuso de drogas ilícitas por jovens do 1º ano da Universidade Federal de Goiás. Rev Paul Pediatr. 2006;24(2):135-42.. The highest prevalence for this substance was associated with bars/nightclubs consumption and obtaining the substance with friends, suggesting that its use occurs in a recreational context1313. Canuto MHA, Ferreira RA, Guimarães EMB. Uso e abuso de drogas ilícitas por jovens do 1º ano da Universidade Federal de Goiás. Rev Paul Pediatr. 2006;24(2):135-42..

In our study, the age of first drug experimentation and the student’s living situation were associated with both outcomes (lifetime and 30-day use rates). First experimentation before 18 years old increased the chance of being in a higher consumption category than first experimentation after 18 years old (p = 0.003 for lifetime and p = 0.019 for 30-day rates). Other studies have found similar results, indicating that the risk of abusing or developing an addiction to illicit drugs is greater for individuals who begin using it during adolescence rather than in adulthood2929. López-Quintero C, Pérez de los Cobos J, Hasin DS, Okuda M, Wang S, Grant BF, et al. Probability and predictors of transition from first use to dependence on nicotine, alcohol, cannabis, and cocaine: results of the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). Drug Alcohol Depend. 2011;115(1-2):120-30. https://doi.org/10.1016/j.drugalcdep.2010.11.004
https://doi.org/10.1016/j.drugalcdep.201...
,3030. Chen CY, Storr CL, Aanthony JC. Early-onset drug use and risk for drug dependence problems. Addict Behav. 2009;34(3):319-22. https://doi.org/10.1016/j.addbeh.2008.10.021
https://doi.org/10.1016/j.addbeh.2008.10...
. For example, a 2012 United States study with adults being treated for drug dependence found that of those who first experimented with marijuana at 14 years old or younger, 13.2% were classified as addicted, six times higher than the rate of adults who first experimented with it at 18 years old or older3131. Center for Behavioral Health Statistics and Quality. Results from the 2012 National Survey on Drug Use and Health: summary of national findings Rockville, MD: Substance Abuse and Mental Health Services Administration; 2013. (HHS Publication No. SMA 13-4795, NSDUH Series H-46)..

Regarding living situation, individuals living alone or with friends were more likely to be in a higher drug consumption category than those living with relatives or partners (p = 0.020 for lifetime and p = 0.026 for 30-day rates), corroborating the literature1414. Kracmoravá L, Klusonová H, Petrelli F, Grappasonni. Tobacco, alcohol and illegal substances: experiences and attitudes among Italian university students. Rev Assoc Med Bras. 2011;57(5):523-8. https://doi.org/10.1590/S0104-42302011000500009
https://doi.org/10.1590/S0104-4230201100...
. Living outside family care is reported as a facilitator of health risk behaviors. Individuals who leave their parents’ home to study and remain far from them, for instance, may have a greater sense of freedom towards new experiences and curiosities, such as the use of licit and illicit drugs3232. Polymerou A. Alcohol and drug prevention in colleges and universities: a review of the literature. London: Mentor UK; 2007..

Regarding lifetime drug use rates, sex (p = 0.001) and age (p = 0.003) were also associated variables. Men were more likely to be in a higher drug consumption category than women. This finding could be explained by the fact that women perceive drugs as more dangerous3333. Kauffman SE, Silver P, Poulin J. Gender differences in attitudes toward alcohol, tobacco, and other drugs. Soc Work. 1997;42(3):231-41. https://doi.org/10.1093/sw/42.3.231
https://doi.org/10.1093/sw/42.3.231...
. It may also reflect a greater social tolerance for men who use drugs and a greater social stigma for women3333. Kauffman SE, Silver P, Poulin J. Gender differences in attitudes toward alcohol, tobacco, and other drugs. Soc Work. 1997;42(3):231-41. https://doi.org/10.1093/sw/42.3.231
https://doi.org/10.1093/sw/42.3.231...
. Biologically speaking, drug metabolism is different in men and women, with men generally having higher clearance rates3434. Schwartz JB. The influence of sex on pharmacokinetics. Clin Pharmacokinet. 2003;42(2):107-21. https://doi.org/10.2165/00003088-200342020-00001
https://doi.org/10.2165/00003088-2003420...
. A similar result was found by Silva et al.1616. Silva LVER, Malbergier A, Stempliuk VA, Andrade AG. Fatores associados ao consumo de álcool e drogas entre estudantes universitários. Rev Saude Publica. 2006;40(2):280-8. https://doi.org/10.1590/S0034-89102006000200014
https://doi.org/10.1590/S0034-8910200600...
(2006) and McCabe et al.3535. McCabe SE, Morales M, Cranford JA, Delva J, McPherson MD, Boyd CJ. Race/ethnicity and gender differences in drug use and abuse among college students. J Ethn Subst Abus. 2007;6(2):75-95. https://doi.org/10.1300/J233v06n02_06
https://doi.org/10.1300/J233v06n02_06...
(2007), who assessed 12-month illicit drug use. Nevertheless, sex was not associated with 30-day use rates in this study adjusted analysis (p = 0.559).

In our study, age increase is proportional to the increase in chances of being in a higher drug consumption category, corroborating Passos et al.2323. Passos SRL, Americano do Brasil PEA, Santos MAB, Aquino MTC. Prevalence of psychoactive drug use among medical students in Rio de Janeiro. Soc Psychiatry Psychiatr Epidemiol. 2006;41(12):989-96. https://doi.org/10.1007/s00127-006-0114-7
https://doi.org/10.1007/s00127-006-0114-...
(2006), who evaluated young people, mostly between 17 and 23 years old and found that as age increases, so does illicit drug use2323. Passos SRL, Americano do Brasil PEA, Santos MAB, Aquino MTC. Prevalence of psychoactive drug use among medical students in Rio de Janeiro. Soc Psychiatry Psychiatr Epidemiol. 2006;41(12):989-96. https://doi.org/10.1007/s00127-006-0114-7
https://doi.org/10.1007/s00127-006-0114-...
. Despite the trend found in this study and that of Passos2323. Passos SRL, Americano do Brasil PEA, Santos MAB, Aquino MTC. Prevalence of psychoactive drug use among medical students in Rio de Janeiro. Soc Psychiatry Psychiatr Epidemiol. 2006;41(12):989-96. https://doi.org/10.1007/s00127-006-0114-7
https://doi.org/10.1007/s00127-006-0114-...
et al., involving very similar age groups, nearly all included individuals were between 18 and 24 years old, age group of greatest drug consumption3636. Laranjeira R, Pinsky I, Zaleski M, Caetano R, Duarte PCAV. Levantamento Nacional sobre os Padrões de Consumo de Álcool na População Brasileira. Brasília, DF: Secretaria Nacional de Políticas sobre Drogas; 2007.. A study on young American adults between 18 and 29 years old found that this group has higher rates for drug use, abuse and dependence than older age groups3737. Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future National Survey Results on Drug Use, 1975-2004. Volume II: College Students & Adults Ages 19-45. Bethesda, MD: National Institute on Drug Abuse; 2005. (NIHPublication 05-5728).. The difference between the results of the present study and these of Johnston et. al3737. Johnston LD, O’Malley PM, Bachman JG, Schulenberg JE. Monitoring the Future National Survey Results on Drug Use, 1975-2004. Volume II: College Students & Adults Ages 19-45. Bethesda, MD: National Institute on Drug Abuse; 2005. (NIHPublication 05-5728). could be due to the fact that after young adulthood some social responsibilities (adult roles) are assumed, such as having children, and the use of illicit drugs decreases3838. Chen K, Kandel DB. Predictors of cessation of marijuana use: an event history analysis. Drug Alcohol Depend. 1998;50(2):109-21. https://doi.org/10.1016/S0376-8716(98)00021-0
https://doi.org/10.1016/S0376-8716(98)00...
.

Marital status and socioeconomic level were associated with 30-day use rates. Higher illicit drug use was observed among single, separated and widowed individuals (p = 0.005). A longitudinal study by Duncan et al3939. Duncan GJ, Wilkerson B, England P. Cleaning up their act: the effects of marriage and cohabitation on licit and illicit drug use. Demography. 2006;43(4):691-710. https://doi.org/10.1353/dem.2006.0032
https://doi.org/10.1353/dem.2006.0032...
. (2006) that assessed the effects of marriage and cohabitation on drug use, reported a decrease in the consumption of marijuana among married couples, presenting a protective effect against drug use3939. Duncan GJ, Wilkerson B, England P. Cleaning up their act: the effects of marriage and cohabitation on licit and illicit drug use. Demography. 2006;43(4):691-710. https://doi.org/10.1353/dem.2006.0032
https://doi.org/10.1353/dem.2006.0032...
. Thus, it has been observed that socially deviant behavior, such as illicit drug use, are incompatible with traditional adult social roles, such as marriage3838. Chen K, Kandel DB. Predictors of cessation of marijuana use: an event history analysis. Drug Alcohol Depend. 1998;50(2):109-21. https://doi.org/10.1016/S0376-8716(98)00021-0
https://doi.org/10.1016/S0376-8716(98)00...
, which could justify the finding of the present study that single individuals consume more drugs.

Socioeconomic level was associated with 30-day drug use, in which individuals with higher incomes presented higher consumption (p = 0.001). Other studies found similar results1616. Silva LVER, Malbergier A, Stempliuk VA, Andrade AG. Fatores associados ao consumo de álcool e drogas entre estudantes universitários. Rev Saude Publica. 2006;40(2):280-8. https://doi.org/10.1590/S0034-89102006000200014
https://doi.org/10.1590/S0034-8910200600...
,4040. Humensky JL. Are adolescents with high socioeconomic status more likely to engage in alcohol and illicit drug use in early adulthood? Subst Abus Treat Prev Policy. 2010;5:19. https://doi.org/10.1186/1747-597X-5-19
https://doi.org/10.1186/1747-597X-5-19...
. This was also consistent with the findings of Humensky (2010)4040. Humensky JL. Are adolescents with high socioeconomic status more likely to engage in alcohol and illicit drug use in early adulthood? Subst Abus Treat Prev Policy. 2010;5:19. https://doi.org/10.1186/1747-597X-5-19
https://doi.org/10.1186/1747-597X-5-19...
, who evaluated the relationship between adolescent socioeconomic status and 30-day drug use in early adulthood. Among people whose parents had higher incomes, a higher use of marijuana and cocaine was found4040. Humensky JL. Are adolescents with high socioeconomic status more likely to engage in alcohol and illicit drug use in early adulthood? Subst Abus Treat Prev Policy. 2010;5:19. https://doi.org/10.1186/1747-597X-5-19
https://doi.org/10.1186/1747-597X-5-19...
, implying that illicit substances demand is price sensitive4141. Farrell S, Manning WG, Finch M. Alcohol dependence and the price of alcoholic beverages. J Health Econ 2003;22(1):117-47. https://doi.org/10.1016/S0167-6296(02)00099-1
https://doi.org/10.1016/S0167-6296(02)00...
, This finding can be firstly explained by the fact that it is easier for students with higher incomes to acquire drugs4242. Baus J, Kupek E, Pires M. Prevalência e fatores de risco relacionados ao uso de drogas entre escolares. Rev Saude Publica. 2002;36(1):40-6. https://doi.org/10.1590/S0034-89102002000100007
https://doi.org/10.1590/S0034-8910200200...
and, secondly because parents with higher incomes generally have a greater commitment to work, contributing less to the monitoring of their children’s behavior4343. Larzelere RE, Patterson GR. Parental management: mediator of the effect of socioeconomic status on early delinquency. Criminology. 1990;28(2):301-24. https://doi.org/10.1111/j.1745-9125.1990.tb01327.x
https://doi.org/10.1111/j.1745-9125.1990...
. A study by Martins et. al4444. Martins SS, Storr CL, Alexandre PK, Chilcoat HD. Adolescent ecstasy and other drug use in the National Survey of Parents and Youth: the role of sensation seeking, parental monitoring and peer’s drug use. Addict Behav. 2008;33(7):919-33. https://doi.org/10.1016/j.addbeh.2008.02.010
https://doi.org/10.1016/j.addbeh.2008.02...
(2008) supports this argument by indicating that parental monitoring or positive parenting practices reduce the risk of adolescent drug use and abuse4444. Martins SS, Storr CL, Alexandre PK, Chilcoat HD. Adolescent ecstasy and other drug use in the National Survey of Parents and Youth: the role of sensation seeking, parental monitoring and peer’s drug use. Addict Behav. 2008;33(7):919-33. https://doi.org/10.1016/j.addbeh.2008.02.010
https://doi.org/10.1016/j.addbeh.2008.02...
. Finally, students of lower economic classes tend to consider university education a path to social mobility4545. Armstrong EA, Hamilton LT. Paying for the party: how college maintains inequality. Cambridge, MA: Harvard University Press; 2013., whereas richer students celebrate youth by socializing and engaging in deviant behaviors4545. Armstrong EA, Hamilton LT. Paying for the party: how college maintains inequality. Cambridge, MA: Harvard University Press; 2013..

This study has some limitations. Due to the cross-sectional design, the main limitation of the study is a possible reverse causality bias in some associations, such as the marital status variable. Losses to follow-up and refusals were significant, restricting findings extrapolation, with a greater conflict among men, students aged 23 and older, and students of exact sciences and soil/agricultural science programs; which may have led to selection bias. Students not reached could have presented higher drug use, leading to difficulties to attend classes and a greater possibility of abandoning university studies. In addition, as losses were greater among men and students of exact sciences and soil/agricultural sciences, also those with a greater chance of using any substance, the prevalence found could be underestimated. Some students may have preferred not to report illicit drug use, even with guaranteed anonymity. Thus, drug use prevalence should be interpreted as minimum estimates of the actual values, which could be higher. However, using a self-administered confidential questionnaire is a standard procedure for obtaining information about this type of behavior. Another limitation is the generalization of the findings to the entire university population, since only new students were included in the study population. As it was performed in a consortium format, the number of questions in the study was also limited, preventing a more detailed outcome assessment, such as when drug experimentation first occurred and situations and places where drugs were consumed. The long duration of data collection is also one of the limitations of this study. Students who were interviewed at the end of fieldwork are more exposed to the university environment than those who were interviewed at the beginning.

The study has some strengths, as it contributes to the comprehension of the use of illegal drugs and its associated factors among university students.

In conclusion, marijuana was the most frequently illicit drug used by students, and 5.1% of the participants reported using two or more illicit drugs in the 30 days before the survey, representing the group at highest risk of dependence and possible psychological distress. Our results are expected to contribute to a better understanding of the context of substance use in this population.

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  • Funding. This study was financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Financing Code 001.

Publication Dates

  • Publication in this collection
    01 June 2020
  • Date of issue
    2020

History

  • Received
    01 Nov 2019
  • Accepted
    09 Jan 2020
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