Research Article | | Peer-Reviewed

Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria

Received: 26 May 2026     Accepted: 5 June 2026     Published: 26 June 2026
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Abstract

Substance use is a growing pandemic that is ravaging the youth at an alarming rate. The study aims to investigate the prevalence and determinants of substance use among youths in a tertiary institution in Ekiti State, Nigeria. An institutional-based, cross-sectional study was conducted in Federal Polytechnic Ado-Ekiti, sampling a total of 480 undergraduate students. A pretested, semi-structured, self-administered questionnaire was adapted from the literatures. All data collected were analyzed using SPSS version 25. Multi-level data analysis was conducted with a clear progression from univariate, bivariate to multivariate analysis, with p-value set at P<0.05. The lifetime prevalence of substance use was 361 (78.5%). The three commonest substances used were alcohol (98.1%), cannabis (17.5%) and tobacco products (16.3%). The three factors that were significant predictors associated with substance use among the youths include the male sex (OR=2.2; 95% CI=1.02-4.13; P 0.044), age (OR=14.11; 95% CI=1.45-133.88; P 0.022), and peers and roommates’ use of psychoactive substances (OR = 19.58: 95 CI = 4.95-77.50); P 0.000). The prevalence of substance use among the students in a tertiary institution in Ekiti State was high. The significant predictors of high prevalence of substance used were the male sex, age, and peers and roommate’s use of substance. There is a need for appropriate authorities to use the informed targeted intervention through the identified risk factors to stem the tide before it ravages our youth.

Published in European Journal of Preventive Medicine (Volume 14, Issue 3)
DOI 10.11648/j.ejpm.20261403.11
Page(s) 34-44
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Prevalence, Determinants, Substance Use, Tertiary Institution, Youths

1. Introduction
Substance use is a growing pandemic that is ravaging the youth at an alarming rate. It is a global public health issue affecting large parts of the Sub-Saharan Africa, especially Nigeria. Substance use disorder refers to the deleterious use of psychoactive substances, including alcohol, tobacco products, drugs, inhalants, and other substances that can be consumed, inhaled, injected, or otherwise absorbed into the body which may have a negative health effect on individuals, families and the society at large.
Globally, 5.6% of the population, aged 15-64 years consumed a substance at least once in 2016. Recent trends also indicated that the abuse of substances had dramatically increased worldwide, particularly in developing countries. According to the World Drug Report 2023, in 2021, 1 in every 17 people, aged 15–64 years, globally had used a drug in the previous 12 months. The approximated number of substance users among this age group increased from 240 million in 2011 to 296 million in 2021, representing a 23 per cent increase. Also, in 2021, an estimated 39.5 million individuals worldwide were suffering from drug use disorders but only 20% out of these received drug treatment.
Young persons are individuals within 10 to 24 years of age. The common health problems associated with this age group are substance abuse, injuries, violence, reproductive health issues, mental health disorders, infectious disease and malnutrition amongst others. Substance use is directly or indirectly linked with other health issues as a result of inhibiting self-control and increasing risky behaviours which may lead to injuries, violence, unprotected sex, rape, other reproductive health issues and mental health disorders among others. Early onset of substance use is associated with higher risks of developing dependence and other problems during adult life, and people of younger ages are disproportionately affected by substance use compared with people of older ages.
The overall prevalence of substance use in sub-Saharan Africa was 41.6%, (ranging from 8.8% to 55.5%) the highest being in Central Africa at 55.5%. A study in Sudan found the overall prevalence of substance use to be 31%. The commonest substance used was tobacco followed by cannabis and alcohol while the most common reason for initiating substance use was curiosity. In Ethiopia, a prevalence of 20–40% and 20.9% of drug abuse was reported among students and youths, respectively.
In Nigeria, the situation is equally disturbing, according to a United Nations Office on Drugs and Crime (UNODC) drug use survey conducted in 2018, 1 in 7 persons aged 15-64 years had used a drug (other than tobacco and alcohol) in the previous year with the prevalence of any drug use estimated at 14.4% and corresponding to 14.3 million people. Among undergraduate students, majority of who fall into the category of young persons, the problem of psychoactive substance use is even more alarming than what was reported among the general populace. For example, in South-western Nigeria, about 58.4 to 65% of undergraduates had used psychoactive substances at least once in their lifetime while 15.4% reported current use. In another study conducted in Ibadan, South-western Nigeria, the abuse of Indian hemp was reported to have gotten to an epidemic level and was a potential cause of incomplete or even halted academic achievements (drop out).
An additional evaluation of the prevalence of substance use among students of higher institution was conducted in Benue State, North Central Nigeria. It reported the prevalence as 46.6% but did not involve the patterns and determinants. A similar research conducted in Abeokuta, another part of South-western Nigeria, looked at patterns of drug use alone but the determinants were not studied. Another research conducted in Afe Babalola University, Ado-Ekiti, Ekiti State, South western Nigeria reported the prevalence, patterns and reasons for use of psychoactive substances . However, it was conducted in a private tertiary institution and might not paint a complete picture of the prevalence of substance use among undergraduate students.
Students in higher institutions are some of the most susceptible to drug use amongst the different young persons in Nigeria. Majority of them live outside the watch of their parents/guardians and have access to social media which expose them to a lot of vices. . Theoretical Framework; Substance use among youths has become a health challenge globally, and the interplay of several factors like biological factors, psychological factors and social factors either predispose the individual or group of youths to the use, initiate use or perpetuate the use . Frequent use of these substances leads to; a compulsive seeking and take these substances, with liitle or no control of intake, and the development of the negative effect of substance use. . The study therefore, aims to determine the prevalence and determinants of substance use among youths in a public tertiary institution in Ekiti State, Nigeria.
2. Materials and Methods
2.1. Study Areas
The study was conducted in Federal Polytechnic, Ado Ekiti, Ekiti State, Nigeria. The Federal Polytechnic, Ado-Ekiti is one of the second-generation Polytechnics established in 1979. The polytechnic runs Ordinary National Diploma (OND), Higher National Diploma (HND), Certificate and Professional programmes. It has over 10,000 students with a total Staff workforce of about 2,000, which is made up of Teaching, Non-Teaching, Technical/Technologist and Junior Cadre Staff. There are five schools: Business Studies, Engineering, Environmental studies, Science and computer studies, School of Agriculture and Agricultural technology, with 29 departments in total. .
2.2. Study Design
The study was conducted using a descriptive, and cross-sectional study design.
2.3 Study Population
The study population consisted of selected undergraduates in the Federal Polytechnic, Ado-Ekiti. All students, 18 years and above, who gave informed consent were included in the study, while part-time students and all chronically ill students were excluded.
2.4. Sample Size Determination
The sample size was determined using the Leslie Fisher’s formula for calculation of single proportions for populations >10,000
Zα is the standard normal deviate for 95% confidence interval = 1.96
p is the prevalence of substance use from a previous study = 69.2% =0.692
q is the complementary probability = 1-p =1-0.692=0.308
d is the margin of error = 5% = 0.05, n=328 approximately to the nearest units.
Using a non-response rate of 20%, 20/100×328=65.6
n (sample size) = 328+65.6=393.6, approximated to 394, however, 480 samples were taken.
2.5. Sampling Technique
Multistage (4-staged) sampling technique was used to select the eligible respondents. In the first Stage, a list of all the schools (faculties) in the Polytechnic (Business Studies, Engineering, Environmental studies, Science and Computer Studies, Agriculture and Agricultural Technology) was obtained. Three of the five schools were selected, using simple random sampling method (balloting): Schools of Business, Science and Computer Studies, and Engineering were selected. In the second stage a list of all the Departments in the chosen schools was obtained and two departments were selected from each school/faculty using simple random sampling. In the third stage, all levels in each chosen department were used. In the last stage, systematic sampling method was used to select respondents from the selected departments. The questionnaires were distributed equally across all the selected departments. The list of students in each of the selected department served as the sample frame. The sample interval was obtained by dividing the total number of students in all the levels in each department (sampling frame) by the number of questionnaires that were allocated to that department (sampling size). Using the sampling interval that was obtained, the first participant in each of the departments was obtained using simple random sampling technique (balloting). Thereafter, subsequent respondents were selected using the pre-determined sampling interval.
2.6. Data Collection Method
The data were collected (from May to July 2023) using a semi-structured, self-administered questionnaire, which was adapted from the World Health Organization (WHO)/ United Nations Fund for Drug Abuse Control student drug use questionnaire. The questionnaire consisted of 22 items comprising 6 items on demographic variables, 14 items (on substance use, type of substance use, pattern and frequency, age at first use of drug, other associated factors and 2 items on self-honesty. Data were collected during school hours over a period of three months. The questionnaire was pre-tested among clinical medical students of Ekiti State University; another public tertiary institution in the State and corrections were made as appropriate.
2.7. Data Management and Analysis
All data collected were manually checked for errors and analyzed using Statistical Package for the Social Sciences (SPSS) version 25. Univariate, bivariate and multivariate analysis were done and data were presented using frequency tables, percentages and charts. Relationships between prevalence and determinants of substance use (socio-demographic, family and psychological factors) were determined using chi-square and binary logistic regression tests. Level of significance was set at p value of less than 0.05.
2.8. Ethical Considerations
Research approval was obtained from institutions’ Ethics and Research Committee (Protocol number: EKSUTH/A67/2023/05/002). Permission to conduct the study was obtained from the Deans and HODs of the selected schools and departments. A written informed consent was obtained from each of the respondents. Participation in the study was voluntary, the respondents were assured of confidentiality and data were stored in locked cabinets, assessable to the researchers alone.
3. Results
Four hundred and eighty questionnaires were distributed and 460 were found analyzable giving a response rate of 95.8%.
Table 1 shows the socio-demographic characteristics of the respondents. Majority 386 (83.9%) of the respondents were between the ages of 15-24 years with a mean age of 21.8±2.6 years. There were 238 (51.7%) males, 402 (87.4%) of the respondents were Christians and 388 (84.3%) were of Yoruba ethnicity. Two hundred and four (44.4%) of their fathers and 190 (41.3%) of their mothers had tertiary education.
Table 1. Socio-demographic characteristics of the respondents.

Socio-demographic Characteristics

Frequency n=460

Percentage

Age (years)

15-19

110

23.9

20-24

276

60.0

25-30

74

16.1

Sex

Male

238

51.7

Female

222

48.3

Religion

Christianity

402

87.4

Islam

48

10.4

Traditional

10

2.2

Tribe

Yoruba

388

84.3

Igbo

46

10.0

Others

26

5.7

Father’s Highest Level of Education

No Formal Education

51

11.1

Primary

8

1.7

Secondary

197

42.8

Tertiary

204

44.4

Mother’s Highest Level of Education

No Formal Education

43

9.3

Primary

44

9.6

Secondary

183

39.8

Tertiary

190

41.3

Table 2 reveals the types of psychoactive substances used among the respondents (n=361 (78.5%)). The three commonest substances used were alcohol (98.1%), cannabis (17.5%) and tobacco products (16.3%).
Table 2. Types of psychoactive substances used among respondents (n=361).

Psychoactive substance

Yes (%)

No (%)

Alcohol

354 (98.1)

7 (1.9)

Cannabis

63 (17.5)

298 (82.5)

Tobacco products

59 (16.3)

302 (83.7)

Opium and other opiates

53 (14.7)

308 (85.3)

Substances such as gutter water, monkey tail and bana water

13 (3.6)

348 (96.4)

Cocaine

9 (2.5)

352 (97.5)

Sedatives

8 (2.2)

353 (97.8)

Non-tobacco smoked substances

4 (1.1)

357 (98.9)

Amphetamine or other stimulants

3 (0.8)

358 (99.2)

Table 3 shows the relationship between the socio-demographic characteristics and the prevalence of substance use among the respondents. The prevalence (lifetime) of psychoactive substance use among the respondents was 78.5% (361). everal factors were statistically significant (P<0.05) which include male sex (P 0.000), age (P 0.003), religion (P 0.006), and father’s educational status (P 0.002). Other socio-demographic factors were not statistically significant.
Table 4 shows the relationship between family and friend-related factors and prevalence of substance use among respondents. Almost all the factors: daddy (P 0.000) and siblings drink alcohol (P 0.002), daddy (P 0.017) and siblings smoke (P 0.039), peers and roommates’ use substance (P 0.000), parents quarreling (P 0.024) and separations (P 0.006) were significantly associated with the prevalence of substance use among the respondents.
Table 5 shows the relationship between the psychological factors influencing substance use and the prevalence of substance use among respondents. All the psychological factors had significant relationships with the prevalence of substance use among the respondents; low self-esteem (P 0.000), lack of direction and purpose in life (P 0.004), and shyness (P 0.003).
Table 6 reveals the binary logistic regression analysis. Only three factors: the male sex, age (20-24 year age group), and peers and roommates’ use of psychoactive substances were significantly associated with prevalence of substance use among the respondents. Respondents who were males were 2.2 times more likely to have used substances than those who were females (OR=2.2; 95% CI=1.02-4.13; P 0.044). Respondents who were aged 20-24 years were 14 times more likely to have used substances than those who were aged 25-30 years (OR=14.11; 95% CI=1.45-133.88; P 0.022). Respondents who had peers and roommates using substances were 19.6 times more likely to have used substances than those whose peers and roommates do not use substances (OR = 19.58: 95 CI = 4.95-77.50); P 0.000).
Table 3. Relationship between the socio-demographic characteristics and the prevalence of substance use among respondents.

Socio-demographic characteristics

Prevalence of psychoactive substance use

Χ2/ p-value

Use substance (n=361)

Does not use Substance (n=99)

Sex

Male

212 (89.1%)

26 (10.9%)

32.79

Female

149 (67.1%)

73 (32.9%)

.000*

Age group (years)

15-19

118 (70.7%)

49 (29.3%)

10.29

20-24

228 (83.5%)

45 (16.5%)

.003*

25-30

15 (75.0%)

5 (25.0%)

Tribe

Yoruba

302 (77.8%)

86 (22.2%)

2.50

Igbo

40 (83.5%)

6 (16.5%)

.281

Others

19 (73.1%)

7 (26.9%)

Religion

Christian

321 (79.9%)

81 (20.1%)

10.45

Islam

30 (62.5%)

18 (37.5%)

.006*

Traditional

10 (100.0%)

0 (0.0%)

Others

2 (66.7%)

1 (33.3%)

Father’s education

No formal

45 (88.2%)

6 (11.8%)

16.97

Primary

8 (100.0%)

0 (0.0%)

.002*

Secondary

138 (70.1%)

59 (29.9%)

Tertiary

170 (83.3%)

34 (16.7%)

Mother’s education

No formal

35 (88.4%)

6 (11.8%)

6.28

Primary

33 (75.0%)

11 (25.0%)

.179

Secondary

136 (74.5%)

47 (25.7%)

Tertiary

143 (80.3%)

35 (19.7%)

*Statistically significant
Table 4. Relationship between family and friend related factors and prevalence of substance use among respondents.

Family and friends related factors

Prevalence of substance use

χ2/ p-value

Use substance (n=361)

Does not use (n=99)

Daddy drinks alcohol

82 (94.3%)

5 (5.7%)

15.80

Daddy does not drink alcohol

279 (74.8%)

94 (25.2%)

.000*

Peers and roommate use substance

141 (96.6%)

5 (3.4%)

41.47

Peers and roommate don’t use substance

220 (70.1%)

94 (29.9%)

.000*

Siblings drink alcohol

46 (95.8%)

2 (4.2%)

9.56

Siblings don’t drink alcohol

315 (76.5%)

97 (23.5%)

.002*

Daddy smokes

20 (100.0%)

0 (0.0%)

5.73

Daddy does not smoke

341 (77.5%)

99 (22.5%)

.017*

Siblings smokes

15 (100.0%)

0 (0.0%)

4.25

Siblings smokes

346 (77.8%)

99 (22.2%)

.039*

Parents quarrel a lot

37 (92.5%)

3 (7.5%)

5.10

Parents don’t quarrel a lot

326 (77.1%)

96 (22.9%)

.024*

Parents are too strict

59 (88.1%)

8 (11.9%)

4.26

Parents are not too strict

302 (76.8%)

91 (23.2%)

.052

Parents are separated

33 (97.1%)

1 (2.9%)

7.50

Parents are not separated

328 (77.0%)

98 (33.0%)

.006*

Parents in conflict with the law

3 (100.0%)

0 (0.0%)

0.828

Parents not in conflict with the law

358 (78.3%)

99 (21.7%)

.363

*Statistically significant
Table 5. Relationship between psychological factors and prevalence of substance use among respondents.

Psychological factors

Prevalence of substance use

χ2/p-value

Use substance (n=361)

Does not use substance (n=99)

Has low self esteem

49 (100.0%)

0 (0.0%)

13.65

Does not have low self esteem

312 (75.9%)

99 (24.1%)

0.000*

Lacks direction and purpose

32 (100.0%)

0 (0.0%)

8.11

Does not lack direction and purpose

329 (76.9%)

99 (23.1%)

0.000*

A shy person

32 (100.0%)

0 (0.0%)

9.43

Not a shy person

329 (76.5%)

99 (23.1%)

0.000*

*Statistically significant
Table 6. Binary logistic regression analysis of the predictors associated of Substance use among Youth in Ekiti State University, Ado Ekiti, Ekiti State.

Factors

Adjusted Odds Ratio (95% Confidence Interval)

P-Value

Sex

Female

1

Male

2.20 (1.02-4.13)

0.044*

Age group (years)

15-19

13.30 (1.90-178.37)

0.052

20-24

14.11 (1.45-133.88)

0.022*

25-30

1

Religion

Christian

3.73 (0.69-20.17)

0.128

Islam

1.11 (0.14-8.65)

0.420

Traditional

1

Mother’s occupation

Artisan

0.73 (0.06-8.34)

0.801

Trader

1.57 (0.16-14.95)

0.697

Civil servant

1.82 (0.17-19.93)

0.621

Professional

0.43 (0.02-10.93)

0.501

Unemployed

0.83 (0.53-1.63)

0.793

Others

1

Father’s education

No formal

1

Primary

0.31 (0.10-9.54)

0.599

Secondary

1.07 (0.70-9.73)

0.394

Tertiary

3.62 (0.30-48.03)

0.340

Daddy drinks alcohol

4.65 (0.88-24.53)

0.070

Daddy does not drink alcohol

1

Daddy smokes

0.29 (0.30-48.84)

0.354

Daddy does not smoke

1

Siblings drink alcohol

0.60 (0.09-4.19)

0.787

Siblings don’t drink alcohol

1

Siblings smokes

1.92 (0.52-6.61)

0.424

Siblings does not smokes

1

Parents quarrel a lot

0.36 (0.41-5.62)

0.801

Parents don’t quarrel a lot

1

Parents were separated

7.07 (0.72-69.74)

0.094

Parents were not separated

1

Peers and roommate use substance

19.58 (4.95-77.50)

0.000*

Peers and roommate don’t use substance

1

Has low self esteem

0.66 (2.85-1.52)

0.326

Does not have low self esteem

1

Lacks direction and purpose

0.91 (0.95-7.50)

0.076

Does not lack direction and purpose

1

A shy person

0.58 (0.05-4.52)

0.621

Not a shy person

1

*Statistically significant
4. Discussion
The period of being a youth remains a challenging time in human development and they are highly vulnerable to adopting risky behaviors which include substance use. This study attempted to investigate the prevalence and predictors of substance use among youth in Ekiti, state Nigeria.
In this study, the lifetime prevalence of substance use among the youth in Ekiti state was 78%. This finding was similar to studies’ reports in Lagos, Nigeria (3.8–85.7%), also among four private tertiary institutions in Southwest Nigeria (81%) and Mississippi, USA (23.2% to 72.0%). The increasing prevalence of substance use might be due to the fact that a lot of these substances are becoming more readily available and relatively much easy to access than before, thereby increasing the range of individuals exposed. Also, increasing cultural acceptance of substance use in various community functions can facilitating high prevalence of substance use among youths. Furthermore increasing ignorance with aggressive advertisement of some substance have fuelled the increased usage of substance in Mississippi and Nigeria. The studies were similar because similar university students were used, and similar study design methods were used also. In contrast to this study, other studies revealed a lower prevalence than that reported in this study in Sudan (31%), Ethiopia (12%), and Nigeria (53.8%). The variation might be due to the differences in study areas, high non-response rate and sample size. Most of the respondents in other studies were younger, in the secondary schools where substance use was just beginning to be initiated compared to university students who may have initiated it earlier. The discrepancies could also be due to the differences in the study population and interest of measure.
The three most common substances used were alcohol, cannabis and tobacco products. This findings are comparable to a study among private university students by Durowade et al which reveals alcohol with the highest prevalence (44.5%). Similarly, a study by Adekeye et al revealed among undergraduate students smoking and alcohol were the major substance used, also a study by Aziz et al also revealed that among public secondary schools students alcohol is the most prevalent substance used. Alcohol is commonly available with little or no restriction due to their age group and commons in different form increasing its accessibility to the youth. In contrast to this study Oshodi et al and Oluwole-Isaac et al revealed caffeine containing product like kolanut and coffee were the most commonly abused substance, the respondents from this two studies were largely adolescent in secondary school who may have some restriction to alcohol due to their age.
The predictors of high prevalence of substance use for this study were the male sex, age, and peers and roommates’ use of substance. In this study, males were 2.2 times more likely to experience substance use than the female sex. This could be accounted for due to the outgoing nature of the male folks, they are more adventurous and more eager to try new things than the female folks. Also, females are culturally forbidden from substance use (smoking, drinking alcohol and other vices) but for males it is regarded as part of growing up. Similarly, in a study in Rivers state, Nigeria among junior students in a public secondary school, it was reported that male students experienced more substance use than female students. Also, in a similar work in Lagos the male gender had a higher prevalence rates than their female counterparts. The reason for the similar study findings may be due to similar study site (sub-Sahara African), study design, and sample size. Conversely, in contrast to this study, there was no relationship between respondent sex and prevalence of substance use in studies done in Abia state, Nigeria and Ethiopia. The difference might have resulted because the study population were commercial drivers compared to the university students in this study. Similarly, the sample size was higher in this study and finally, the study in Ethiopia study emphasized on only cigarette smoking alone unlike substance use generally in this study. Equally, in this study, those between 15 year and 24 years of age were more likely to experience substance use compared to older age (above 25-30 years of age). Similarly, a study in Ethiopia revealed a higher age group (above 18 yrs) which was associated with increase substance use. Another study in Ethiopia showed that the prevalence of drug abuse is high among age 20-24 yrs of age. This may have occurred because the younger population has a higher rate of substance use (with higher level of curiosity, peer pressure and adventurous lifestyle, with early initiation largely due to early exposure). Furthermore, the similarity in the study accounted for, is due to the similar study design, and in one of the study the respondent ages were similar while in another they were younger.
However, in contrast, a study in River state Nigeria, showed no significant relationship between age group and prevalence of substance use, this difference might be accounted for due to the difference in the study population (junior secondary student compared to undergraduate students).
In this study, peers and roommates’ use of substance was significantly associated with a higher prevalence of substance use. Friends and roommates are people who can shape the life of any individual at any stage of life especially at adolescence, teenage and youth when most people initiate substance use. Hence, having a peer involved in substance use can motivate or stimulate the use of substance. Similar result to our study, was observed in a study in Ethiopia which revealed that the students having friends who smoke were four times at higher risk of substance use than individuals with friends or peers who do not smoke or use substance. These two studies were both institution-based, and cross-sectional study designed with similar sample size. On the other hand, a study among four private tertiary institutions in Southwest Nigeria revealed that there is no significant relationship between peer and roommates’ using substance and a higher prevalence of substance use. The difference may have occurred due to the fact that private universities were used rather than public. Also, four different study site were used but only one site was used in this study and the sample size in this study was larger.
Study limitation: The study design used was a cross-sectional design which does not allow causal associations to be made, hence further longitudinal research may be needed. Social desirability bias may be present hence we ensure the questionnaire was distributed by self-administering it and encouraged the respondents to be as honest as possible to prevent under-reporting or over-reporting.
5. Conclusions
This prevalence of substance use among the students of a tertiary institution in Ekiti State was high. The three most common substances used were alcohol, cannabis and tobacco products. The significant predictors of prevalence of substance use were the male sex, age, peers and roommates’ use of substance.
Recommendation: There is a need by appropriate authorities to use the informed, targeted intervention through identified risk factors (male and youth) to stem the tide before it ravages our youths.
Abbreviations

CI

Confidence Interval

EKSUTH

Ekiti State University Teaching Hospital

HND

Higher National Diploma

HOD

Head of Department

OND

Ordinary National Diploma

OR

Odd Ratio

SPSS

Statistical Package for the Social Sciences

UNODC

United Nation Office on Drug and Crime

WHO

World Health Organization

Author Contributions
Paul Oladapo Ajayi: Conceptualization, Data curation, Formal Analysis, Methodology, Supervision, Writing – original draft, Writing – review & editing
Eyitope Oluseyi Amu: Conceptualization, Data curation, Formal Analysis, Methodology, Supervision, Validation, Writing – original draft, Writing – review & editing
Oluremi Olayinka Solomon: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing
Conflicts of Interest
The authors declare no conflicts of interest.
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  • APA Style

    Ajayi, P. O., Amu, E. O., Solomon, O. O. (2026). Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria. European Journal of Preventive Medicine, 14(3), 34-44. https://doi.org/10.11648/j.ejpm.20261403.11

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    ACS Style

    Ajayi, P. O.; Amu, E. O.; Solomon, O. O. Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria. Eur. J. Prev. Med. 2026, 14(3), 34-44. doi: 10.11648/j.ejpm.20261403.11

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    AMA Style

    Ajayi PO, Amu EO, Solomon OO. Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria. Eur J Prev Med. 2026;14(3):34-44. doi: 10.11648/j.ejpm.20261403.11

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  • @article{10.11648/j.ejpm.20261403.11,
      author = {Paul Oladapo Ajayi and Eyitope Oluseyi Amu and Oluremi Olayinka Solomon},
      title = {Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria},
      journal = {European Journal of Preventive Medicine},
      volume = {14},
      number = {3},
      pages = {34-44},
      doi = {10.11648/j.ejpm.20261403.11},
      url = {https://doi.org/10.11648/j.ejpm.20261403.11},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ejpm.20261403.11},
      abstract = {Substance use is a growing pandemic that is ravaging the youth at an alarming rate. The study aims to investigate the prevalence and determinants of substance use among youths in a tertiary institution in Ekiti State, Nigeria. An institutional-based, cross-sectional study was conducted in Federal Polytechnic Ado-Ekiti, sampling a total of 480 undergraduate students. A pretested, semi-structured, self-administered questionnaire was adapted from the literatures. All data collected were analyzed using SPSS version 25. Multi-level data analysis was conducted with a clear progression from univariate, bivariate to multivariate analysis, with p-value set at PP 0.044), age (OR=14.11; 95% CI=1.45-133.88; P 0.022), and peers and roommates’ use of psychoactive substances (OR = 19.58: 95 CI = 4.95-77.50); P 0.000). The prevalence of substance use among the students in a tertiary institution in Ekiti State was high. The significant predictors of high prevalence of substance used were the male sex, age, and peers and roommate’s use of substance. There is a need for appropriate authorities to use the informed targeted intervention through the identified risk factors to stem the tide before it ravages our youth.},
     year = {2026}
    }
    

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  • TY  - JOUR
    T1  - Prevalence and Determinants of Substance Use Among Youths in a Tertiary Institution in Ekiti State, Nigeria
    AU  - Paul Oladapo Ajayi
    AU  - Eyitope Oluseyi Amu
    AU  - Oluremi Olayinka Solomon
    Y1  - 2026/06/26
    PY  - 2026
    N1  - https://doi.org/10.11648/j.ejpm.20261403.11
    DO  - 10.11648/j.ejpm.20261403.11
    T2  - European Journal of Preventive Medicine
    JF  - European Journal of Preventive Medicine
    JO  - European Journal of Preventive Medicine
    SP  - 34
    EP  - 44
    PB  - Science Publishing Group
    SN  - 2330-8230
    UR  - https://doi.org/10.11648/j.ejpm.20261403.11
    AB  - Substance use is a growing pandemic that is ravaging the youth at an alarming rate. The study aims to investigate the prevalence and determinants of substance use among youths in a tertiary institution in Ekiti State, Nigeria. An institutional-based, cross-sectional study was conducted in Federal Polytechnic Ado-Ekiti, sampling a total of 480 undergraduate students. A pretested, semi-structured, self-administered questionnaire was adapted from the literatures. All data collected were analyzed using SPSS version 25. Multi-level data analysis was conducted with a clear progression from univariate, bivariate to multivariate analysis, with p-value set at PP 0.044), age (OR=14.11; 95% CI=1.45-133.88; P 0.022), and peers and roommates’ use of psychoactive substances (OR = 19.58: 95 CI = 4.95-77.50); P 0.000). The prevalence of substance use among the students in a tertiary institution in Ekiti State was high. The significant predictors of high prevalence of substance used were the male sex, age, and peers and roommate’s use of substance. There is a need for appropriate authorities to use the informed targeted intervention through the identified risk factors to stem the tide before it ravages our youth.
    VL  - 14
    IS  - 3
    ER  - 

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    1. 1. Introduction
    2. 2. Materials and Methods
    3. 3. Results
    4. 4. Discussion
    5. 5. Conclusions
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