Prevalence of Substance Use in University Students, Ethiopia

Shegute, Tewodros; Wasihun, Yared

doi:10.1177/11782218211003558

Cited by 9 publications

(12 citation statements)

References 67 publications

(172 reference statements)

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“…Our results indicate that magnitude of SU among college students is substantial. Studies in developing countries like Nepal (42.8%), 24 Ethiopia (73.7%), 25 Sudan (31%), 26 and Kenya (25%) 27 had reported a slightly higher prevalence compared to the current study. We observed that alcohol (20%) and tobacco (15.5%) were the most used substances.…”

Section: Discussioncontrasting

confidence: 73%

Association of Social Network Characteristics with Substance Use among College-Going Young Adults: A Cross-Sectional Study

P.C.

Antony

Murthy

et al. 2023

Indian Journal of Psychological Medicine

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Background: Family members, peers, and significant others are part of a college student’s social network. This cross-sectional study aimed to Assess substance use prevalence and patterns among college students, Compare the social network characteristics of substance users (SUs) and non-users (NUs), and Explore the association of social factors with substance use. Methods: The study involved 902 students from 11 Government and aided private degree colleges. Demographic and clinical data sheet, ASSIST, and Social Network Questionnaire were used to collect the data. Results: Prevalence of substance use was 26.9% and higher among males (21.5%). Alcohol (20%) and tobacco (15.5%) were the commonly used substances. SUs’ network was composed of unmarried persons (p<0.002), male members (p<0.001), and friends (p<0.001) with substance use. In contrast, the NUs’ network comprised parents (p<0.016) and siblings (p<0.001). NUs had a higher number of influential members in the network, whereas SUs had more closeness with members and received higher financial support (p<0.001). Participant’s age (OR 1.27), family history of substance use (OR 2.46), parents’ occupation (Business: OR 1.79, being employee in the government or industry: OR 1.76),and having three substance-using members in the network (OR .211) were found to be risk factors. Conclusion: Social network has an association with substance use among college students. Social-network-based interventions may benefit them.

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Section: Discussioncontrasting

confidence: 73%

Association of Social Network Characteristics with Substance Use among College-Going Young Adults: A Cross-Sectional Study

P.C.

Antony

Murthy

et al. 2023

Indian Journal of Psychological Medicine

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“… 21 The possible reason of high prevalence of PMDD in our study might be due to higher substance abuse in especially stimulants like khat and alcohol in eastern part of Ethiopia. 22 – 25 Substance abuse can disrupt a woman’s menstrual cycle by doing any of the following: Causing her to have a lighter or heavier period, increasing or decreasing the average length of her period, and inducing amenorrhea, or causing her to stop having a period. Misusing substances may be riskier for women with PMDD, because it worsens symptoms in two different ways: Directly triggering changes in mood and inducing other psychiatric symptoms and indirectly intensifying mental health symptoms through changes to the menstrual cycle.…”

Section: Discussionmentioning

confidence: 99%

Premenstrual dysphoric disorder and associated factors among university graduating class female students in Ethiopia: A cross-sectional study

Abdeta,

Firdisa,

Mulugeta

et al. 2024

SAGE Open Medicine

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Objectives: Premenstrual dysphoric disorder is a somatopsychic condition that develops about a week before the start of menstruation and is brought on by fluctuating sex steroid levels that follow an ovulatory menstrual cycle. Therefore, this study aimed to assess the magnitude of premenstrual dysphoric disorder and associated factors among Haramaya University graduating class female students, in eastern Ethiopia. Methods: An institutional-based cross-sectional study was conducted from 1 to 30 November 2022 among Haramaya University graduating class female students using a simple random sampling technique. The data were cleaned, coded, and entered into the Epi-data 3.01 before being exported and analyzed with Statistical Package of Social Science 20 versions. The premenstrual dysphoric disorder was assessed by the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, Text Revision. To identify associated factors a bivariable logistic regression analysis was conducted to determine the association between each independent variable and the outcome variable. The multivariable logistic regression model includes all variables with a p-value of less than 0.25 in the bivariate logistic regression analysis. The adjusted odds ratio with a 95% confidence interval was computed when the p-value was less than 0.05, which was considered statistically significant. Results: Out of 282 samples, 274 study participants were involved providing a response rate of 97.2%. The prevalence of premenstrual dysphoric disorders was 64.6% (95% CI: 59.5–70.4). Participants with the irregular menstrual cycle (AOR = 2.24; 95% CI: 1.26–4.34), heavy menstrual flow (AOR = 2.53; 95% CI: 1.84–7.59), moderate menstrual flow (AOR = 2.29; 95% CI: 1.02–5.26), severe menstrual pain (AOR = 5.69; 95% CI: 1.86–7.42) and those who have depressive symptoms (AOR = 2.46, 95% CI: 1.08–5.68) were variables associated with premenstrual dysphoric disorders. Conclusion: The prevalence of premenstrual dysphoric disorder was relatively high. Severe menstrual pain, menstrual irregularity, heavy menstrual flow, and a history of depression had significant associations with premenstrual dysphoric disorder. It will be better if higher institution administrators design and implement methods to screen and intervene premenstrual dysphoric disorder among female students.

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“…The prevalence observed in this study was similar to that observed in an earlier study carried out among the students at a University in a town in North Ethiopia[ 62 ]. While earlier studies among university students did not report evidence to suggest the use of illicit drugs, the results of a 2021 cross-sectional study among 794 students of Addis Ababa University, showed that 73.7% of the study participants had a history of substance use with the use of illicit drugs having a lifetime prevalence of 23.3%[ 63 ]. However, similar to other studies, alcohol, Kath, and cigarettes were still the most commonly abused substances[ 63 ].…”

Section: Epidemiology Of Substance Use Across the African Continentmentioning

confidence: 99%

Substance use and substance use disorders in Africa: An epidemiological approach to the review of existing literature

Onaolapo¹,

Olofinnade²,

Ojo³

et al. 2022

World J Psychiatry

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The relationship between man and substances that have abuse potentials, and whose use has been associated with the development or progression of substance use disorders has continued to evolve in terms of geography, economic implications, and time. History shows that local plants with psychoactive constituents can get exported worldwide through global travel, commerce, or even conquest. Time and globalization also change people’s relationship with substances of abuse; hence, an area that was initially alien to certain substances might evolve to becoming a trafficking hub, and then a destination. A case in point is Africa where a rapidly increasing prevalence of substance use/abuse and substance use disorder among adolescents and young adults is putting enormous strain on the economy, healthcare system, and society at large. However, there appears to be a paucity of scientific literature and data on the epidemiology, risk assessment, and contributing factors to substance use and the development of substance use disorders across Africa. In this narrative review, we examine extant literature (PubMed, Google scholar, Medline) for information on the prevalence, trends, and influencers of substance use and the development of substance use disorders. This is with a view of understanding the determinants of substance use and factors that influence the development of substance use disorders in the region, and how this information can be channeled towards developing a comprehensive intervention and treatment program.

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Prevalence of Substance Use in University Students, Ethiopia

Cited by 9 publications

References 67 publications

Association of Social Network Characteristics with Substance Use among College-Going Young Adults: A Cross-Sectional Study

Association of Social Network Characteristics with Substance Use among College-Going Young Adults: A Cross-Sectional Study

Premenstrual dysphoric disorder and associated factors among university graduating class female students in Ethiopia: A cross-sectional study

Substance use and substance use disorders in Africa: An epidemiological approach to the review of existing literature

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