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Salud mental

versão impressa ISSN 0185-3325

Salud Ment vol.48 no.2 México Mar./Abr. 2025  Epub 02-Jun-2025

https://doi.org/10.17711/sm.0185-3325.2025.009 

Original articles

Factors Associated with the Use of Psychoactive Drugs, Anxiety and Depression in University Students

Factores asociados al uso de psicofármacos, ansiedad y depresión en estudiantes universitarios

Aline Regiane Coscrato de Lima Oliveira 1  
http://orcid.org/0000-0003-2744-4528

Adriana Inocenti Miasso 1  
http://orcid.org/0000-0003-1726-7169

Assis do Carmo Pereira Júnior 2   * 
http://orcid.org/0000-0003-2609-4626

1Escola de enfermagem de Ribeirão Preto da Universidade de São Paulo - EERP USP. Ribeirão Pretro. Brasil.

2Escola de enfermagem da Universidade Federal de Minas Gerais - UFMG. Belo Horizonte. Brasil..


Abstract

Introduction

University life entails  several changes, contributing to the use of psychotropic drugs and mental disorders.

Objective

To identify factors associated with psychoactive drug use and anxiety and depressive symptoms in university students.

Method

. Cross-sectional survey of 902 undergraduates, undertaken using sociodemographic data, with information on the use of psychotropic drugs, and the Mini International Neuropsychiatric Interview as a self-report. Chi-square and Fisher’s exact were used for  the hypothesis of association. Logistic regression was used to determine the effect of independent in relation to dependent variables.

Results

Risk factors for the use of psychotropic drugs were having children, admission through a quota scheme, studying linguistics, literature and arts and agricultural sciences, not enrolling, emotional difficulties, using mood altering drugs, unpleasant reactions to the absence of a substance and continuing use despite these reactions. Specific risk factors for depressive symptoms included being in the first year of undergraduate studies, dropping out and continuing to use mood-altering drugs despite unpleasant reactions. Specific risk factors for anxiety symptoms included admission quotas, studying agricultural sciences, literature, arts and linguistics, evening courses and courses that were not students’ first choice.

Discussion and conclusion

The findings of this study provide a greater understanding of the phenomenon studied and can be used to develop health education strategies tailored for students.

Keywords: Students; anxiety; depression; psychotropics

Resumen

Introducción

La vida universitaria trae consigo diversos cambios, entre ellos el uso de psicofármacos y los trastornos mentales. Objetivo. Identificar factores asociados con el uso de psicofármacos y los síntomas de ansiedad y depresión en estudiantes universitarios.

Método

Encuesta transversal con 902 estudiantes de pregrado, realizada utilizando datos sociodemográficos, el uso de psicofármacos y la Mini Entrevista Neuropsiquiátrica Internacional, como autoinforme. Para la hipótesis de asociación, se utilizó Chi-cuadrado y exacto de Fisher, la regresión logística para verificar el efecto de las variables independientes en relación con las dependientes.

Resultados

Los factores de riesgo para el uso de psicofármacos fueron: tener hijos, admisión por cupo, estudiar Lingüística, Literatura y Artes y Ciencias Agrarias, no matricularse, dificultades emocionales, usar sustancias para modificar el estado de ánimo, reacciones desagradables en ausencia de la sustancia y continuar con el uso en presencia de estas reacciones. Los factores de riesgo específicos para síntomas depresivos fueron: primer año de estudios de pregrado, deserción y continuar con el uso de sustancias que alteran el estado de ánimo en presencia de reacciones desagradables y los factores de riesgo específicos para los síntomas de ansiedad: admisión por cupo, carreras de Ciencias Agrarias, Letras, Artes y Lingüística, carreras nocturnas y carreras que no corresponden a la primera opción.

Discusión y conclusión

Los hallazgos de este estudio ofrecen una mayor comprensión del fenómeno estudiado y pueden ser utilizados para desarrollar estrategias de educación para la salud dirigidas a los estudiantes.

Palabras clave: Estudiantes; ansiedad; depresión; psicofármacos

INTRODUCTION

University students are highly vulnerable to psychotropic drug use and mental disorders such as anxiety and depression (Amaral et al., 2021; Jenkins et al., 2020; Limone & Toto, 2022). Anxiety is a human characteristic designed to ensure self-preservation. However, in pathological anxiety, symptoms occur more intensely and frequently, causing enormous suffering and harm in everyday life, such as substance abuse and school dropout (Leão et al., 2018). Depression is a chronic, recurrent mood disorder, characterized by sadness, guilt, pessimism, loss of appetite, difficulty concentrating, decreased libido, and increased irritability, negatively affecting the personal lives and academic context of university students (Ribeiro et al., 2014).

University life entails  changes in students’ habits, the acquisition of new responsibilities, and exposure to risk factors, including alcohol and tobacco, increasing the likelihood of developing mental disorders in this population (Fauzi et al., 2021; Islam et al., 2022; Ramón-Arbués et al., 2020).

Studies have found a 30.6% prevalence of depression in this population, as opposed to 9%  in non-university students (Demenech et al., 2021; Kang et al., 2021; Knapstad et al., 2021; Ibrahim et al., 2013). A systematic review of the  global prevalence of anxiety among university students identified a prevalence of 33% in Asia, 51% in Europe and 56% in the United States (Liyanage et al., 2021).

A study conducted  in Brazil of 476 freshmen found that 36.1% had anxiety and 28.6% depression (Leão et al., 2018). Other studies have observed a high prevalence of mental disorders during university education, including common mental disorders (CMD) (Gebreegziabher et al., 2019; Karyotaki et al., 2020; Sousa et al., 2021).

CMDs are classified as non-psychotic mental disorders,  with symptoms such as insomnia, difficulty concentrating, forgetfulness, fatigue, irritability, feelings of worthlessness and somatic complaints (Gebreegziabher et al., 2019; Risal, 2012; Sousa et al., 2021). When CMD affects young adults such as university students, it can significantly interfere with their relationships, work, and performance of daily activities, compromising their social interactions with family and colleagues (Melese et al., 2016). In the university context, it has a major impact and can lead to students dropping out of courses with long-term social and financial  consequences for  employment and financial security (Leach & Butterworth, 2012).

These aspects can lead students to use  psychotropic drugs to relieve the symptoms resulting from mental suffering. Psychotropic drugs are substances that act on the Central Nervous System (CNS) causing psychological changes that can affect behavior, mood and/or cognition. Due to  these effects, psychotropic drugs are among the main means of treating  psychiatric disorders (Reis et al., 2021).

The literature shows that university students not only use psychotropic prescription drugs but also self-medicate (Benson et al., 2015; Papazisis et al., 2017). Studies have found  that the most used psychotropic drugs by this population are anxiolytics, antidepressants, and amphetamines  (Balayssac et al., 2018; Fasanella et al., 2022; Maidana et al., 2020). Although  psychotropic drugs are intended for those suffering from mental disorders such as anxiety and depression, some of these drugs can be addictive and should only be used when medically prescribed (Jha et al., 2018; Lerner & Klein, 2019).

These aspects underline the impact of anxiety, depression, and psychotropic drug use on university students.However, most studies address these variables in isolation and there are few studies designed to evaluate the mental health of university students in Brazil. This study therefore aims to identify the factors associated with and their correlation with psychotropic drug use, and anxiety and depressive symptoms in university students.

METHOD

Study design/Location

This is a cross-sectional, analytical study undertaken  at a public federal university in Brazil. The university has 19 Academic Units and 51 in-person undergraduate courses, including bachelor’s and master’s  degrees.

Participants

The population comprised undergraduate students enrolled in in-person courses. The inclusion criteria were being aged 18 or over,  and being enrolled in classroom courses, regardless of the stage they were at in the latter. Students who failed to  complete the questionnaire were excluded. We obtained a sample of 902 students who agreed to take part in the survey and completed the questionnaire in full.

Procedure/Measurements

Students were invited to take part in the survey through individual contact, through an invitation letter sent by the university under study, via the institutional e-mail, to all undergraduate students (n = 15.877). This invitation letter explained the title, objectives, and justification of the survey and at the end of the letter, there was a link to the SurveyMonkey® platform to access the data collection instruments. After the letter of invitation had been sent out, students had a total of 60 days to provide their answers. Initially, the emails were sent, and 30 days were allowed for feedback. After this period had elapsed, new emails were sent with an invitation letter and researchers waited another ten days. After this new deadline, emails were sent weekly until 60 days had elapsed. The final deadline for participation in the survey was given in the last two emails. After this period, surveys were no longer allowed to be submitted.

Data collection took place between July and November 2020. An instrument was designed by the authors to collect sociodemographic, economic, medical history and academic life-related variables, considering general aspects to characterize participants. The question “Do you use psychotropic drugs?” was used to collect data on the outcome variable “use of psychotropic drugs,” with dichotomous “yes” and “no” answers.  Participants provided the names of the psychiatric drugs they used, which were subsequently  classified by consulting the drug database available on the National Health Surveillance Agency website. The psychotropic drug classification was drawn up using a polytomous categorical variable based on  the anatomical and therapeutic groups of the Anatomical Therapeutic Chemical (ATC) Classification. The outcome variables “anxiety symptoms” and “depressive symptoms” were collected using the Mini International Neuropsychiatric Interview (MINI), with dichotomous “yes” and “no” answers. This instrument is a diagnostic questionnaire, compatible with DSM-III-R/IV and ICD-10 criteria (Sheehan et al., 1998). Since the questionnaire is organized into independent diagnostic modules and given the objectives of this study, we used Module A “Major Depressive Episode” (MDE), comprising 12 questions. The answers consist of a dichotomous “yes” or “no” variable, while the questions assess current and past major depressive episodes. Module O “Generalized Anxiety Disorder,” comprises ten questions, with answers in a dichotomous “yes” or “no” variable and questions assessing the current generalized anxiety disorder.

It is worth noting that in this study, the MINI instrument was sent to students together with the other data collection instruments and self-administered, although this is not how it is intended to be administered. The choice of  procedure was due to the COVID-19 pandemic, which made it impossible for the researcher to collect data in person at the university.

Statistical analysis

Data were collected  in Excel  and transferred to  the SAS/STAT® 9.4, where they were analyzed using descriptive statistics. The anxiety symptoms, depressive symptoms and use of psychiatric medication variables were considered dependent, while those related to sociodemographic and economic factors, medical history, and academic life were considered independent. The use of psychiatric medication was considered an independent variable when associated with outcomes including anxiety and depressive symptoms.

To verify the hypothesis of association between the variables, the data were submitted to Pearson’s Chi-square test and Fisher’s exact test. The hypothesis of association was considered significant when “p” was less than or equal to .05. Logistic regression was used to verify the effect of the independent variables in relation to the dependent ones. The strength  of this association was measured using logistic regression models, with odds ratios being calculated with 95% confidence intervals. The logistic regression model used the following dependent variables: current depressive symptoms, anxiety symptoms and psychotropic drug use and independent variables showing  a significant association with outcomes, using Pearson’s chi-square test or Fischer’s exact test. The choice of logistic regression is justified in this case is justified because the dependent variables are qualitative and categorical.

Ethical considerations

Data were collected  after approval by the Research Ethics Committee of the proposing institution (CAAE 25989119.8.0000.5393), and the co-participating institution (CAAE 25989119.8.3016.5147). Participants signed a Free and Informed Consent Form (FICF), in accordance with Resolution 466/2012 of the National Health Code. The study was conducted in accordance with the World Medical Association International Code of Ethics (Declaration of Helsinki).

RESULTS

In this study, the variables related to sociodemographic profile, economic factors, medical history and academic life were independent, while psychotropic drug use and anxiety and depressive symptoms were dependent variables.

The sample consisted of 902 students. Most  of the sample were  female (66.4%), with an average age of 24.8 years (SD= 7.7), ranging from 18 to 69 years, white (63%), heterosexual (68.1%), single (88.4%), childless (92.6%), lived with their families (77.8%), did not earn an income (57.7%), full-time students (52.3%) and did not profess any religion (42.3%).

Two hundred and ten  (23.3%) students declared that  they were currently using psychotropic drugs. Of this group, 105 (50%) reported using at least one psychotropic drug while 70 (33.3%) used two (2). It was striking that 16.7% of participants mentioned using three (3) or more psychotropic drugs. Antidepressants were the most frequently mentioned psychotropic drugs used by the students, n = 193 (21.4%), followed by anticonvulsants/mood stabilizers n = 71 (7.8%). Forty-eight  (5.3%) students mentioned using anxiolytics, n = 22 (2.4%) reported using antipsychotics, and 8 (.8%) reported using psychostimulants and nootropics. One hundred and twenty-two  (35%) participants had been using psychotropic drugs for less than a year. Most students had been using these drugs for one to two years while 79 (23%) mentioned having used  psychotropic drugs for over  two years. At the same time,  74% of psychotropic prescriptions were written by  psychiatrists, and 6% by  neurologists. However, 12% of participants did not inform the doctor prescribing the psychotropic drug that they were using it.  One alarming result was that 13.3% of participants stated that they had been using  psychiatric medication without a medical prescription. Of this group, 46.4% reported that they had purchased the drugs without a prescription from a pharmacy with  85.7% mentioning anxiety/depression/insomnia as the reason why they used these [SS1] non prescription drugs

In regard  to the factors associated with the use of psychotropic drugs, it was found that students who had children were 2,206 times more likely to use psychiatric drugs than students who did not. Students admitted  through the quota system were 1,865 times more likely to use psychiatric drugs than those who had entered through the open competition system. University students studying linguistics, literature, arts, and agricultural sciences were 2,186 times more likely to use psychiatric medication than those studying exact, human or biological sciences. Participants who had been forced to cancel their enrolment were 2,480 times more likely to use psychiatric medication. University students who had emotional difficulties that interfered with their academic life were 12,937 times more likely to use psychotropic medication. Students who reported using mood-altering substances (those  with the potential to cause dependence) were 1,620 times more likely to use psychiatric drugs. Students who reported unpleasant reactions to the absence of a mood-altering substance were 2,097 times more likely to use psychiatric drugs, while those  who continued using a mood-altering substance despite the unpleasant reactions were 1,862 times more likely to use psychiatric drugs than students who stopped using a mood-altering substance due to the  unpleasant reactions they experienced. At the same time, students who attended university during the morning shift  were .652 times less likely to use psychiatric  drugs than those who attended university during the evening shift (Table 1).    

Table 1   Logistic Regression Model for Predicting the Use of Psychotropic Drugs by Sociodemographic Characteristics and Students’ Academic Profile, Brazil, 2020 (N=902)  

Variables Psychoactive Drug Use
[N (%)]
p-value OR CI 95%
Below Above
  Yes No        
Children     .0043¥      
Yes 25 (12) 42 (6.1)   2.106 1.250 3.547
No 184 (88) 651 (93.9)        
Total 209 693        
University entrance     <.0001¥      
Open competition 97 (46.4) 428 (61.8)        
Quotas 112 (53.6) 265 (38.2)   1.865 1.365 2.548
Total 209 693        
Course area     .0044¥      
Exact (exact and earth sciences, engineering) 43 (20.6) 188 (27.1)        
Humanities (applied social sciences, humanities) 87 (41.6) 259 (37.4)   1.469 .974 2.215
Biological (biological sciences, health sciences) 37 (17.7) 162 (23.4)   .999 .613 1.625
Other (linguistics, literature and arts, agricultural sciences) 42 (20.1) 84 (12.1)   2.186 1.330 3.593
Total 209 693        
Course schedule     .0052¥      
Morning 22 (10.5) 118 (17)   .652 .396 1.073
Evening 68 (32.5) 159 (23)   1.495 1.054 2.121
Combined 119 (56.9) 416 (60)        
Total 209 693        
Enrolment cancellation     <.0001¥      
Yes 35 (16.7) 52 (7.5)   2.48 1.565 3.928
No 174 (83.3) 641 (92.5)        
Total 209 693        
Has emotional difficulties that interfere with academic life <.0001ǂ      
Yes 207 (99) 616 (88.9)   12.937 3.15 53.128
No 2 (1) 77 (11.1)        
Total 209 693        
Use of mood-altering substances .0023¥      
Yes 107 (51.4) 274 (39.5)   1.62 1.186 2.212
No 101 (48.6) 419 (60.5)        
Total 208 693        
Unpleasant reactions to lack of substance .0012¥      
Yes 56 (51.8) 95 (33.9)   2.097 1.336 3.293
No 52 (48.2) 185 (66.1)        
Total 108 280        
Continued use of substance despite unpleasant reactions .0063¥      
Yes 61 (56.5) 115 (41.1)   1.862 1.189 2.917
No 47 (43.5) 165 (58.9)        
Total 108 280  

Source: Research data, 2020. Odds Ratio (OR). 95% confidence intervals

. p-value < .05: ¥Pearson’s chi-square test and ǂFisher’s exact test.

An analysis of participants’ responses to the MINI questionnaire showed that most  students had depressive symptoms (n = 499) (55.3%), 52.2% of which reported current depressive symptoms and 36.2% of which reported previous  depressive symptoms (Tables 2 and 3).

It was found that students enrolled in the first year of undergraduate courses were 1,319 times more likely to have depressive symptoms than those enrolled in the fifth to seventh semester of their respective undergraduate courses. Conversely, students enrolled in the second to fourth  semester were .808 times less likely to have depression symptoms than  those  enrolled in the fifth to seventh  semester of their undergraduate courses. University students who expressed an interest in changing their course were 1.928 times more likely to have depression symptoms while those who were forced to drop out of theirs were .0012 times more likely to have depression symptoms. University students with problems that interfered with their academic life were 3,459 times more likely to have depression symptoms. Students who had emotional difficulties interfering with their academic life were 15,959 times more likely to have depression symptoms. Students who used psychiatric medication were 2,193 times more likely to have depression symptoms, those  who used anxiolytics were 2,606 times more likely to have depressive symptoms and those  who used antidepressants were 1,785 times more likely to have depressive symptoms than those who did not. In turn, students who used anticonvulsants/mood stabilizers were 1,893 times more likely to have depressive symptoms than those  who did not use this type of  medication. Students  who used mood-altering substances were 1,981 times more likely to have depression symptoms. Those who reported unpleasant reactions when they quit using a mood-altering substance or reduced the amount they took were 1,810 times more likely to have depression symptoms, while those  who continued using a mood-altering substance despite the unpleasant reactions it elicited were 1,570 times more likely to have depression symptoms than those  who stopped using the mood-altering substance due to the  unpleasant reactions it caused (Table 2).    

Table 2  Prevalence of Depressive Symptoms, according to the MINI (International Neuropsychiatric Interview) Score and Logistic Regression Model for Predicting Depressive Symptoms, by  Academic Profile and Psychotropic Drug Use. Brazil, 2020 (N=902)  

Variables Major Depressive Episode
Depressive Symptoms N %
Yes 499 55,3
No 403 44,7
Total 902 100
  Current*  
Yes 471 52,2
No 431 47,8
Total 902 100
  Past**  
Yes 327 36,2
No 575 63,8
Total 902 100
Variables Depressive Symptoms -
current * [N (%)]
p-value OR IC 95%
MINI Below Higher
Positive Negative
Course period     .0053¥  
First year 176 (37.2) 119 (27.7)   1.319 .893 1.948
Second, third and fourth semester 214 (45.2) 236 (55)   .808 .562 1.163
Fifth, sixth and seventh semester 83 (17.6) 74 (17.3)  
Total 473 429  
I’d like to swap my course for another one     <.001¥  
Yes 138 (42.2) 89 (27.5)   1.928 1.389 2.677
No 189 (57.8) 235 (72.5)  
Total 327 324  
Enrollment cancellation     .0012¥  
Yes 60 (12.7) 27 (6.3)   2.162 1.345 3.475
No 413 (87.3) 402 (93.7)  
Total 473 429  
Failure     .0493¥  
Yes 208 (44) 161 (37.5)   1.307 1.001 1.706
No 265 (56) 268 (62.5)  
Total 473 429  
Has difficulties that interfere with life or the academic context <.0001¥  
Do you have any difficulties? 456 (96.4) 380 (88.6)   3.459 1.959 6.105
No difficulties 17 (3.6) 49 (11.4)  
Total 473 429  
Has emotional difficulties that interfere with academic life <.0001¥  
Has any emotional difficulties 467 (98.7) 356 (83)   15.959 6.864 37.103
No emotional difficulties 6 (1.3) 73 (17)  
Total 473 429  
Psychotropic drug use     <.0001¥  
Yes 140 (29.6) 69 (16.1)   2.193 1.263 2.522
No 333 (70.4) 360 (83.9)  
Total 473 429  
Anxiolytics     .004¥  
Yes 33 (7) 12 (2.8)   2.606 1.328 5.114
No 440 (93) 417 (97.2)  
Total 473 429  
Antidepressants     .009¥  
Yes 108 (22.8) 61 (14.2)   1.785 1.263 2.522
No 365 (77.2) 368 (85.8)  
Total 473 429  
Anticonvulsant     .019¥  
Yes 42 (8.9) 21 (4.9)   1.893 1.102 3.252
No 431 (91.1) 408 (95.1)  
Total 473 429  
Use of mood-altering substances <.0001¥  
Yes 237 (50.1) 144 (33.6)   1.981 1.513 2.593
No 237 (49.9) 284 (66.4)  
Total 473 428  
Unpleasant reactions to the absence of the substance .0069¥  
Yes 106 (44.2) 45 (30.4)   1.81 1.174 2.792
No 134 (55.8) 103 (69.6)  
Total 240 148  
Continued substance use     .0334¥  
Yes 119 (49.6) 57 (38.5)   1.57 1.035 2.382
No 121 (50.4) 91 (61.5)  
Total 240 148  

Source: Survey data, 2020. Odds Ratio (OR): 95% Confidence Intervals

p-value < .05. ¥ Pearson’s Chi-square test

*Current: in the past two weeks.

**Past: lifetime use

Most students were found to have anxiety symptoms (n = 780) (86.5%). Students admitted to  university through the quota system were 1,605 times more likely to have anxiety symptoms than those who entered through the open competition system. University students studying agricultural sciences, literature, art and linguistics were 2,963 times more likely to have anxiety symptoms than those studying exact and biological sciences, while those studying during the evening shift were 1,932 times more likely to have anxiety symptoms. Conversely, studying full-time was identified as a protective factor for anxiety symptoms, with full-time students being .974 times less likely to have anxiety symptoms than those who only studied during the morning  or evening shifts. Students enrolled in courses that had not been  their first choice were 2,320 times more likely to have anxiety symptoms while those who expressed an interest in changing their university course were 1,968 times more likely to have anxiety symptoms than those who did not. Students with emotional difficulties that interfered with their academic life were 34,402 times more likely to have anxiety symptoms, while those who used psychiatric medication were 14,525 times more likely to have anxiety symptoms. Conversely, students who specifically used antidepressant medication were 16,670 times more likely to display anxiety symptoms than those  who did not. Students who reported using mood-altering substances were 2,818 times more likely to have anxiety symptoms while those  who reported unpleasant reactions to the lack of these mood-altering substances were 3,289 times more likely to have anxiety symptoms than those  who reported no unpleasant reactions to the reduction or lack of mood-altering substances (Table 3).    

Table 3  Prevalence of Anxiety Symptoms, according to MINI (International Neuropsychiatric Interview) Score and Logistic Regression Model for Predicting Anxiety Symptoms, by Academic Profile and Use of Psychotropic Drugs. Brazil, 2020 (N=902)  

Variables Generalized Anxiety Disorder
Anxiety Symptoms N %
Yes 780 86.5
No 122 13.5
Total 902 100
Variables Anxiety Symptoms [N (%)] p-value OR IC 95%
MINI Below Above
Positive Negative
University Admission     .0204¥  
Open competition 441 (56.7) 84 (67.7)    
Quotas 337 (43.3) 40 (32.3)   1.605 1.073 2.4
Total 778 124  
Course area     .0012¥  
Exact (exact and earth sciences, engineering) 184 (23.6) 47 (37.9)  
Humanities (applied social sciences, humanities) 310 (39.9) 36 (29)   2.2 1.374 3.522
Biological (biological sciences, health sciences) 168 (21.6) 31 (25)   1.384 .84 2.281
Other (linguistics, literature and arts, agricultural sciences) 116 (14.9) 10 (8.1)   2.963 1.441 6.093
Total 778 124  
Course schedule     .0242¥  
Morning 119 (15.3) 21 (16.9)  
Evening 208 (26.7) 19 (15.3)   1.932 .998 3.739
Combined 451 (58) 84 (67.8)   .947 .564 1.592
Total 778 124  
Enrolled in first-choice course .0021¥  
Yes 579 (74.4) 108 (87.1)  
No 199 (25.6) 16 (12.9)   2.32 1.34 4.018
Total 778 124  
I’d swap the course for another one     .0068¥  
Yes 204 (37) 23 (23)   1.968 1.198 3.235
No 347 (63) 77 (77)  
Total 551 100  
Has difficulties that interfere with life or the academic context <.0001¥  
Yes 746 (95.9) 90 (72.6)   8.807 5.184 14.962
No 32 (4.1) 34 (27.4)  
Total 778 124  
Has emotional difficulties that interfere with academic life <.0001¥  
Yes 758 (97.4) 65 (52.4)   34.402 19.516 60.641
No 20 (2.6) 59 (47.6)  
Total 778 124  
Use of psychotropic drugs     <.0001ǂ  
Yes 206 (26.5) 3 (2.4)   14.525 4.569 46.174
No 572 (73.5) 121 (97.6)  
Total 778 124  
Antidepressants     <.0001ǂ  
Yes 167 (21.5) 2 (1.6)   16.67 4.08 68.114
No 611 (78.5) 122 (98.4)  
Total 778 124  
Use of mood-altering substances     <.0001¥  
Yes 353 (45.4) 28 (22.8)   2.818 1.807 4.395
No 425 (54.6) 95 (77.2)  
Total 778 123  
Unpleasant reactions to the absence of the substance .0128¥  
Yes 146 (40.7) 5 (17.2)  
No 213 (59.3) 24 (82.8)   3.289 1.227 8.817
Total 359 29  

Source: Research data, 2020. Odds Ratio (OR). 95% confidence intervals.

p-value < .05. ¥Pearson’s chi-square test and ǂFisher’s exact test.

DISCUSSION AND CONCLUSION

It was striking that nearly  a quarter of students used psychotropic drugs. The use of medication in an academic environment, including psychotropic drugs, has become increasingly common, as it is a place with a heavy workload and studies, with the potential for students and teachers to become ill.  The rates observed in our study are higher than those identified in the literature, indicating a prevalence of between 10% and 19.7% of psychotropic drug use in this population (Naser et al., 2021).

Most of the participants who used psychotropic drugs had been using them for a year or more. The length of time psychotropic drugs have been used is a significant  aspect, especially in the case of benzodiazepines. In this study, 5.3% of psychotropic drug users used benzodiazepines. A study on the risks associated with the abuse of benzodiazepines concluded that continuous, heavy use of these drugs can affect both the health and everyday  lives of users. It found  that using them for over  26 days exposes users to the risks of withdrawal, tolerance or dependence (Silva et al., 2022), and there is a need for the health team to inform  users of the effects of prolonged use, when a prescription is required.

It is worth noting that 13% of students using psychotropic drugs reported using them without a medical prescription, meaning that they self-medicate. Self-medication is understood as the  act of ingesting medication on one’s own, without any indication and/or monitoring by a qualified healthcare professional. A meta-analysis review with studies of several countries, including Brazil, showed an overall prevalence of self-medication of 70.1% among university students (Behzadifar et al., 020). In regard to  the means of acquiring psychotropic drugs without a medical prescription, even though this  medication is intended for controlled use,  with prescriptions being retained by pharmacies at the moment of purchase, there was a high frequency of students who purchased them over the counter at pharmacies (46.4%), highlighting the weaknesses in the system for dispensing this type of medication. Most students sought psychotropic drugs without a medical prescription to relieve their anxiety/depression/insomnia symptoms (24) (85.7%). These  findings are corroborated by the literature, as research reports that the main reasons leading students to seek psychotropic drugs are recreational use, self-medication (for stress relief and relaxation), pain management, and enhancing academic performance (Naser et al., 2021). At the same time, there is a surprisingly low use of psychostimulants (.8%). This finding can be justified and should be viewed  with caution since participants may not have recognized substances such as caffeine, cocaine, and ecstasy as stimulants.

In this study, although 74% of psychotropic prescriptions were written by  psychiatrists, 12% of participants failed to  inform the professional responsible for the prescription that they would be using them. This finding deserves to be highlighted, because although the benefits of correctly using psychiatric medication are indisputable, treatment and solving the problem should not focus solely on medication. Treatment should be linked to drug therapy and psychotherapy. Furthermore, knowledge about the prescribed medication is essential, as it increases the confidence, safety, and effectiveness of the therapy, as well as reducing side effects and drug interactions (Reis et al., 2021).

Students with children were more likely to take psychotropic drugs. One possible explanation for this finding could be the potential overload resulting from simultaneous activities, such as academic life and child-raising. In this respect, it is worth remembering that most participants in this study were female. A study shows that being a mother and a student requires performing multiple tasks with a direct and indirect influence, both positive and negative, on social, emotional, family, and educational life. Reconciling  the roles of mother and student entails difficulties than  can lead to absence from classes, withdrawing from courses and even dropping out (Santos, et al., 2021).

Students who entered through the quota system were more likely to use psychotropic drugs as were full-time students. For both quota and full-time students, seeking psychotropic drugs may  be associated with financial  conditions. The literature shows that low family income can trigger concerns in students, hindering academic performance and creating  mental suffering, which can result in the use of psychotropic drugs. It is worth noting that full-time students have greater difficulty securing  extra-academic work, limiting their ability to earn an income, resulting in financial  difficulty for certain  students (Santana et al., 2018).

Dropping out of a course was associated with psychotropic drug use. One study found that psychological distress was the most common reason university students gave for failing to complete a course (Ribeiro et al., 2016). Likewise,, another study found that one of the strategies used by students to cope with suffering and psychological illness was the use of psychotropic drugs (Reis et al., 2021).

There was a greater likelihood of psychotropic drug use among students who reported using mood-altering substances, had unpleasant reactions to quitting  and mentioned continuing to use a substance despite the reactions it caused. Starting university can be a period of great vulnerability for the onset and maintenance of use of psychoactive substances (PAS), such as alcohol and tobacco (Barros & Costa, 2019). A study assessing substance use by students found excessive use of alcohol, illicit drugs, stimulants and over-the-counter medication (Boulton & O’Connell, 017). These findings reflect the high levels of use and abuse of licit and illicit psychoactive substances among Brazilian university students, possibly reflecting the teaching model followed and university life (Batista et al., 2022).

Unpleasant reactions to quitting drug use are to be expected following the abuse of dependence-producing substances. Studies show that the use of alcohol, tobacco, drugs and non-prescription medicine among students can damage their health and interfere with their academic performance (Batista et al., 2022; Benson et al., 2015), particularly in  situations where students already shows signs and symptoms of withdrawal and dependence.

The prevalence of depression and anxiety symptoms among undergraduate students was 55.3% and 86.5% respectively. In regard to depression symptoms, the result lies within the prevalence range of findings in the literature, which varied from 22.3% to 58.5%. The prevalence of anxiety symptoms was higher than in previous studies, where it varied from 15.8% to 62.9%, depending on the type of instrument used (Naser et al., 2021; Shao et al., 2020). A possible explanation for the high prevalence of anxiety symptoms in participants could be that data were collected  during the COVID-19 pandemic. During this period, students were forced to adapt to a new way of learning through virtual platforms, and there was isolation and social distancing, which, according to the literature, contributed to increased screen time, and changes in eating habits and physical activity levels (Barros et al., 2021), as well as anxiety, depression and stress levels (Silva et al., 2021).

In this study, 44% of students failed their exams, and were 1.3 times more likely to have depressive symptoms. Similar results were observed in a study in which just over half the students failed their exams and were 2.6 times more likely to have depressive symptoms than those who regularly passed them (Paudel et al., 2020). The presence of mental disorders among university students interferes with their psychosocial well-being and interpersonal relationships, directly influencing their academic and professional performance (Conceição et al., 2019). In this study, dropping out was  associated with the presence of depressive symptoms.

Dissatisfaction with a course was another factor associated with anxiety and depressive symptoms. Research has shown that students’ greatest dissatisfaction with the course they were enrolled in was due to the teaching staff and curriculum structure (Souza & Reinert, 2010). In this respect, one study identified the following as predictors of student satisfaction with the course: teacher training, use of appropriate methodologies, up-to-date teaching methods, coherence, and organization of subject content (Hirsch et al., 2015).

Dissatisfaction can result in emotional imbalance, including nervousness, irritability, impatience, withdrawn behavior, apathy, demotivation, and stress (Hirsch et al., 2015). These aspects should be considered by the management of higher education institutions to prevent mental health problems among undergraduates and improve the teaching-learning process.

This study found that emotional and general difficulties interfered with students’ academic life and context and were related to the presence of depression and anxiety symptoms. A study shows that when students are admitted to  higher education institutions, they require emotional and cognitive resources to adapt to the university environment (Padovani et al., 2014). Other studies also note that the stress, mood swings and conflicts experienced during undergraduate studies can interfere with academic performance and even lead to psychological disorders such as anxiety and depression (Santos et al., 2021).

This study found an association between depressive symptoms and the use of psychotropic drugs and mood-altering substances. In this respect, a study has shown that due to attention-related difficulties, dissatisfied academics may experience depressive symptoms and therefore seek an immediate solution through stimulant medication (Benson et al., 2015).The use of psychotropic drugs and substances to feel better or improve one’s mood has also been associated with anxiety symptoms. The literature indicates that tranquilizer and sedative use and abuse is associated with attempts by students to reduce the anxiety caused by academic life and improve sleep quality (Bennett & Holloway, 2017).

An association was found between having unpleasant reactions to the absence of a mood-altering substance and having anxiety symptoms. This aspect can partly be explained by the use of psychoactive substances that cause dependence and tolerance, and anxiety symptoms can occur when use is abruptly interrupted (Prince et al., 2013).

A significant association was also observed between anxiety symptoms and admission through quotas. One possible explanation could be the financial difficulties experienced by these students during their undergraduate studies. A study revealed that students with a significant financial burden had more anxiety symptoms (Shao et al., 2020). Another explanation could be the difficulty of social inclusion experienced by quota students (Santos et al., 2023).

Students enrolled in  their second-choice course who were intending to change courses were more likely to display anxiety symptoms. A possible explanation for this finding could be the dissatisfaction of studying a course to pursue an unwanted profession. A study exploring the association  between students’ mental health and dissatisfaction with their courses showed that nearly  half the students investigated were not studying their degree course of choice. Students’  reports reflected enormous  dissatisfaction with their degree courses, the most frequent complaints being anxiety, depression, discouragement about their studies and apathy, risk factors for their health and continuing their studies (Garbin et al., 2020).

The results of this study must be interpreted considering its limitations. A key aspect is that the data were drawn from non-probabilistic sampling. Aspects related to the abuse of psychotropic drugs and the risk of dependence on the latter were not assessed, an issue which future studies could address. Another relevant aspect is that the MINI is designed to be administered by a trained professional, but since data collection was undertaken  during the pandemic, it was used as a self-report instrument.

It is essential to recognize that the impact on the mental health of undergraduates can last beyond the pandemic period. Previous studies have shown  that crises such as pandemics have lasting effects on the psychological health of the populations affected (Galea et al., 2020; Ornell et al., 2020). Continuing research  into the long-term effects on undergraduate mental health, even after the pandemic has ended, is crucial to fully understanding the impact of these events and informing preventive and interventional mental health policies to mitigate future negative impacts.

This study highlights the need for more in-depth assessment of these mental disorders, the use of over-the-counter psychotropic drugs, and other aspects related to academic life, to help students. Higher education institutions currently have departments  responsible for  the psycho-pedagogical monitoring of students to  improve their academic performance, and identify cases in which referrals to specialized professionals are required. However, it is essential to develop interventions such as monitoring and support for students, student counseling, and anxiety management workshops, to detect, manage, monitor, and refer at-risk students at  higher education institutions.

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Financing This study was undertaken  with the support of the Coordination for the Improvement of Higher Education Personnel - Brazil (CAPES) - Financing code 001.

Citation: Coscrato de Lima Oliveira, A., Inocenti Miasso, A., Pereira Júnior, A. do C. (2025). Factors Associated with the Use of Psychoactive Drugs, Anxiety and Depression in University Students. Salud Mental, 48(2), 77–89. https://doi.org/ 10.17711/SM.0185-3325.2025.009

Received: February 03, 2024; Accepted: September 12, 2024

Correspondence: Assis do Carmo Pereira Júnior Escola de Enfermagem da Universidade Federal de Minas Gerais. Avenida Alfredo Balena 190. Santa Efigênia. Belo Horizonte. CEP: 30130-100. Brasil. Phone: +55 (31) 99580-3060 Email: assisdocarmo@ufmg.br

Conflict of interest The authors declare they have no conflicts of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License