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Alcohol consumption among tertiary students in the Hohoe municipality, Ghana: analysis of prevalence, effects, and associated factors from a cross-sectional study

BMC Psychiatry volume 21, Article number: 431 (2021) Cite this article

Abstract

Background

Alcohol consumption constitutes a major public health problem as it has negative consequences on the health, social, psychological, and economic outcomes of individuals. Tertiary education presents students with unique challenges and some students resort to the use of alcohol in dealing with their problems. This study, therefore, sought to determine alcohol use, its effects, and associated factors among tertiary students in the Hohoe Municipaility of Ghana.

Methods

An institutional-based cross-sectional study was conducted among 418 tertiary students in the Hohoe Municipality of Ghana using a two-stage sampling technique. Data were collected using structured questionnaires. A binary logistic regression modelling was used to determine the strength of the association between alcohol consumption and the explanatory variables. The level of significance was set at p < 0.05. Stata version 16.0 was used to perform the analysis.

Results

The lifetime prevalence of alcohol consumption was 39.5%. Out of them, 49.1% were still using alcohol, translating to an overall prevalence of 19.4% among the tertiary students. Self-reported perceived effects attributed to alcohol consumption were loss of valuable items (60.6%), excessive vomiting (53.9%), stomach pains/upset (46.1%), accident (40.0%), unprotected sex (35.1%), risk of liver infection (16.4%), depressive feelings (27.3%), diarrhoea (24.2%), debt (15.2%), and petty theft (22.4%). In terms of factors associated with alcohol consumption, students aged 26 years and above were more likely to have consumed alcohol [AOR = 4.4, 95%CI = 1.74, 11.14] than those in 16–20 years group. Muslim students had lower odds of alcohol consumption compared to Christians [AOR = 0.1, 95% CI = 0.02, 0.31]. It was also found that students who had peer influence [AOR = 3.7, 95%CI = 2.31, 5.82] and those who had academic adjustment problems [AOR = 3.6, 95% CI = 2.01, 6.46] were more likely to consume alcohol.

Conclusion

Lifetime prevalence of alcohol consumption is high among tertiary students in the Hohoe Municipality of Ghana, with several physical, psychosocial and economic consequences. Alcohol-related education should be intensified in tertiary institutions and counseling units should be equipped with relevant assessment tools to assess and help students who are at risk and those who are already consuming alcohol.

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Background

Alcohol consumption is an integral part of many cultural, religious, and social practices worldwide [1, 2]. However, in recent years, the volume and risky pattern of consumption pose a significant public health threat to the consumer, family, friends, and the larger society [3,4,5]. Harmful alcohol consumption results in health, social, and economic burden on both the individual and others in both immediate and distal environments [4].

Alcohol is a commonly used substance among the youth in tertiary institutions [5, 6]. In many instances, alcohol serves as a gateway to the usage of other psychoactive substances [6]. Tertiary education is a transitional period characterized by autonomy or independence from family control, and self-decision making, academic pressures, forming social groups, and sharing living quarters with new students with diverse cultural values [5, 7,8,9], and peer influence [9,10,11,12,13]. Other factors shown by researchers to predispose students to alcohol consumption include; ease of availability and accessibility of alcohol [14], academic pressures [12, 15], family member use of alcohol [8], and psychological distress [3, 16]. These features of tertiary institutions’ environment elsewhere are synonymous with those in the Ghanaian setting [17].

Globally, alcohol consumption is the leading causal factor for the overall morbidity and mortality burden [18, 19]. Harmful alcohol consumption serves as a risk factor in over 200 diseases and injuries [4]. These diseases and injuries contribute to about 3million deaths annually, representing 5.3% of all mortality globally and 132.6 million (5.1%) disability-adjusted life years (DALYs) [2, 4]. About 13.5% of all mortality cases in young people aged 20–39 years were attributed to excessive alcohol consumption [2]. However, the association between alcohol consumption and its negative health implications remains complex and inconclusive given the protective effects of moderate alcohol consumption on the human body [19].

Alcohol consumption during the early years is associated with negative consequences such as alterations in attention, verbal learning, and memory, along with altered development of major parts of the brain [20]. These negative consequences subsequently lead to behavioural, emotional, social, and academic problems in later life [21]. Researchers have shown that harmful alcohol consumption leads to the development of cardiovascular diseases [18], cancer [22], liver diseases [23], hepatitis [24], risky sexual behaviours and sexually transmitted diseases [25, 26], mental and behavioural disorders, injuries, violence [2], and poor academic performance [27,28,29].

Most countries in sub-Saharan Africa are experiencing rapid economic, social, and cultural transitions which have created an avenue for increased and socially disruptive use of alcohol [30]. Ferreira-Borges et al. [31] asserted that alcohol consumption and disease burden in Africa are expected to increase, but that policymakers have paid little or no attention to the issue of increasing alcohol consumption. Studies conducted in various parts of Africa reported a significant prevalence of alcohol consumption among tertiary students. For instance, reported lifetime and current prevalence of alcohol consumption ranged from 16.9 to 34.5% in Ethiopia [8, 9, 32], 31.1 to 78.4% in Nigeria [33, 34], 31.9% in Botswana [5], 50.7–63.2% in Kenya [35, 36], and 2.7% in Sudan [37].

Limited studies (example [17, 38]) have been conducted on alcohol consumption among tertiary students in Ghana. This makes it difficult to implement effective interventions due to the dearth of literature on the magnitude of alcohol consumption and its contributory factors. In Ghana, recent evidence showed that there has been an increase in the promotion, competition, and popularity of alcohol beverages in both the media and non-media sources [38]. These alcoholic beverages are considerably cheaper than soft drinks. As a result, young people (majority of which are students) tend to consume alcoholic beverages due to its accessibility and low cost [38]. Anecdotally, there has been an increased proliferation of drinking spots, night clubs, and alcoholic vending sites in the Hohoe Municpality. This has also resulted in easy accessibility to alcoholic beverages by students in the Hohoe Municipality. Hence, the present study sought to determine the prevalence of alcohol consumption and its associated factors among tertiary students in the Hohoe Municipality of Ghana. The findings are likely to inform the development of school-based programmes and interventions aimed at reducing alcohol consumption and promoting healthy lifestyles among students.

Methods

Study setting

We conducted the study in the Hohoe Municipality, which is one of the seventeen (17) administrative municipalities/districts in the Volta region. It shares borders with the Republic of Togo on the East, Afadjato district on the Southeast, south by Ho Municipality, Southwest by Kpando Municipality, Northwest by Biakoye district, and on the North with Jasikan district [39]. According to the 2010 Population and Housing Census, the municipality has a population of 167, 016 with a growth rate of 2.5%. Females make up 52.1% of the entire district population whilst males represent 47.9% [39]. The district has a total land area of 1172 km2. In terms of education, 0.8% of the inhabitants in the municipality are in tertiary institutions [39]. Tertiary institutions in the municipality include; the University of Health and Allied Sciences (School of Public Health-UHAS), Midwifery Training School (MTS), Saint Theresa’s Training College (THERESCO), and Saint Francis Training College (FRANCO).

Study design

Institutional-based cross-sectional study was conducted among tertiary students in the Hohoe Municipality using the quantitative technique. Tertiary students from three (3) institutions were recruited for the study. Students on short courses or sandwich programmes, absent on the day of data collection, and sick or  had difficulty to communicate were excluded from the study. We relied on the strengthening the reporting of observational studies in epidemiology statement writing the manuscript.

Sample size determination and sampling procedure

The sample size for the study was determined using the Cochran formula; n = \( \frac{{\mathrm{z}}^2\mathrm{x}\ \mathrm{p}\ \left(1-\mathrm{p}\right)}{{\mathrm{d}}^2} \) [40]. Where n = required sample size, z = reliability coefficient (z-score) of 1.96 at 95% confidence level, p = estimated proportion who use alcohol, and d = margin of error of 5% (0.05). With a 44.9% prevalence of alcohol consumption among students in Cape Coast Metropolis [41] and a 10% non-response rate, the estimated sample size for the study was 418 tertiary students.

A two-stage sampling technique was used to recruit the 418 tertiary students. A simple random technique was first used to select three tertiary institutions using ballotery without replacement method. The three schools that were randomly selected were UHAS, MTS, and FRANCO.

In the second phase, we employed a proportionate stratified sampling method to apportion the sample size per each institution based on the students’ population size. We calculated the sample size for each school as the product of the total students’ population in a selected school and the total sample size for the study divided by the total students’ population in the three schools. With a total students population of 2001 from the three selected schools as at the time of the study, the calculated sample size per each selected school was UHAS (125), MTS (65), and FRANCO (228).

At the school level, a simple random sampling technique using the lottery method was used to recruit the students to include in the study. Pieces of paper with inscription “YES” or “NO” written on them were used and the students were asked to pick one each. Any student who picked “YES” was given a consent form and both parental/guardian consent and assent forms to those below 18 years for their voluntary approval to take part in the study. We repeated the procedure in all selected schools until we obtained the required sample size.

Data collection procedure

A self-administered structured questionnaire was used to collect data from the students. We developed the questionnaire from a review of pertinent literature on the subject [34,35,36]. Detailed questionnaire has been attached as a supplementary file. We pretested the developed questionnaire among 42 tertiary students who were not part of the actual study in the Hohoe Municipality. We then administered the pretested questionnaire to the students with the aid of five (5) trained data collectors. We structured the questionnaire into four (4) sections. These sections comprised the sociodemographic characteristics, the pattern of alcohol consumption, psychosocial factors of alcohol consumption, and perceived effects of alcohol consumption. We included students aged 18 years and above who signed the written informed consent. For those below 18 years, we sought written informed consent from their parents or guardians and child assent form from the student. Both written parental or guardian informed consent and child assent forms were required before the students aged below 18 years were included in the study and given a questionnaire to complete.

Statistical analyses

Data collected from the respondents were entered into EpiData 3.1 and exported into Stata version 16.0 for the analysis. The exported data were cleaned, validated, and coded for analysis. We presented categorical variables using frequencies and percentages in tables and charts. A Chi-square test was first performed to determine the relationship between lifetime alcohol consumption and the explanatory variables. We performed a binary logistic regression analysis to determine the strength of association between lifetime alcohol consumption and the explanatory variables. All the variables that showed statistical significance were placed in the regression model. We presented the results of the regression analysis using crude odds ratio (COR) and adjusted odds ratio (AOR) with their corresponding confidence interval (CIs) and p-value. A p < 0.05 was considered statistically significant, showing the level of precision.

Ethical issues

We obtained ethical approval for the study from the Ghana Health Service Ethics Review Committee (GHS-ERC) with a reference number (GHS-ERC:92/10/16). We strictly adhered to the ethical guidelines and protocols put forth by the GHS-REC throughout the study. We also sought institutional approval from the Ghana Education Service and Municipal Health Directorate, Hohoe, and Heads of the various institutions. Before the commencement of data collection, written informed consent was sought from students aged 18 years and above before inclusion in the study. For students aged below 18 years, written informed consent was obtained from each student’s parents or guardian before participating in the study. Additionally, written parental or guardian consent and child assent were sought from each student before inclusion in the study. All ethical issues concerning research among humans were strictly followed. Respondents’ rights to withdraw from the study, confidentiality, participants’ privacy, risk, and benefits involved in the study were duly explained to the students after which interested respondents voluntarily signed the written consent or assent forms.

Results

Sociodemographic characteristics of the tertiary students

Of the 418 tertiary students, 51.4% were males. The majority (65.3%) of the students were aged 21–25 years with the mean age of 22.4 ± 3.1 years. Almost all the students (95.0%) were single. Most of the students were Christians (87.1%) and residents on school campuses (64.6%). In the year of study, 39.0% were in the first year as shown in Table 1.

Table 1 Sociodemographic characteristics of the tertiary students
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Pattern of alcohol consumption among the tertiary students

The lifetime prevalence of alcohol consumption was 39.5%. Out of them, 49.1% were still using alcohol, translating to an overall current prevalence of 19.4% among the tertiary students. The majority (83.0%) of alcohol consumers started between the ages of 16–20 years. The mean age of alcohol initiation was 18.9 ± 2.7 years. Seventy-two (43.6%) of the students consume alcohol yearly. Beer (37.6%) was the most consumed alcoholic beverage followed by wine (35.2%). On a typical day, 41.2% of the students consume alcohol 1–2 times. Also, 28.5% of the students drunk alcohol at least once in the past week prior to the study as presented in Table 2.

Table 2 Pattern of alcohol consumption among the students
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Psychosocial factors of alcohol consumption

Two hundred and twelve respondents (50.7%) attributed alcohol consumption among students to peer influence. Regarding curiosity/imitation, 35.2% of the respondents reported curiosity/imitation to influence students’ alcohol consumption. Also, psychological issues (29.9%), family influence (21.8%), and academic adjustment problems (18.9%) were some of the key reasons influencing alcohol consumption among tertiary students as presented in Fig. 1.

Fig. 1
figure 1

Psychosocial factors influencing alcohol consumption

Full size image

Factors influencing alcohol consumption among tertiary students

Results from the bivariate analysis (chi-square analysis) showed that age group (χ2 = 13.16, p < 0.001), sex (χ2 = 10.43, p < 0.001), religion (χ2 = 27.90, p < 0.001), peer influence (χ2 = 47.17, p < 0.001), and academic adjustment problems (χ2 = 28.31, p < 0.001) were significantly associated with alcohol consumption among tertiary students (Table 3).

Table 3 Bivariate analysis of factors associated with alcohol consumption among tertiary students
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Predictors of alcohol consumption among tertiary students

Results of the regression analysis of predictors of alcohol consumption among tertiary students has been shown in Table 4. In the adjusted model, students aged 26 years and above were 4.4 times more likely to consume alcohol compared to those aged 16–20 years, and the association was statistically significant [AOR = 4.4, 95% CI = 1.74, 11.14]. Muslim students were 90.0% less likely to consume alcohol compared to their Christian counterparts [AOR = 0.1, 95% CI = 0.02, 0.31]. Students with peer influence had higher odds of alcohol consumption as against those without peer influence [AOR = 3.7, 95% CI = 2.31, 5.82]. Also, students with academic adjustment problems were more likely to consume alcohol compared to their counterparts without academic problems [AOR = 3.6, 95% CI = 2.01, 6.46].

Table 4 Logistic regression analysis of predictors of alcohol consumption among tertiary students
Full size table

Perceived effects of alcohol consumption

Commonly reported effects attributed to alcohol consumption among the students were loss of valuable items (60.6%), and excessive vomiting (53.9%) as shown in Table 5.

Table 5 Perceived effects of alcohol consumption among the tertiary students
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Discussion

This study sought to determine the prevalence of alcohol consumption among tertiary students in the Hohoe Municipality of Ghana. We also assessed the factors associated with alcohol consumption and the perceived effects of alcohol among the consumers. We found that the overall lifetime and current prevalence of alcohol consumption among the students were 39.5% and 19.4% respectively. These findings are similar to that of Gebremariam et al. [32] who reported the lifetime and current alcohol consumption prevalence of 36.3% and 16.9% respectively among university students in Ethiopia. However, our prevalence rates were lower than some studies from Kenya [35], Nigeria [6, 33], and Ghana [17, 38]. For instance, the study conducted in Ghana reported an ever alcohol consumption prevalence of 56.3%, whiles current consumers were 25.8% [17]. Also, Hassan [36] found in Kenya that lifetime alcohol consumption was prevalent among 63.2% of tertiary students. The observed differences in prevalence could be because of the inclusion of two health tertiary institutions in the current study. These students from health institutions might be knowledgeable about the health implications of alcohol consumption hence the less consumption rate.

Our findings showed that the odds of alcohol consumption among the students increased with increasing age. Students aged 26 years and above were more likely to consume alcohol. This finding is consistent with results from a cross-sectional study conducted in China [42] and  Nigeria [33]. The finding also confirms the association between older age and alcohol consumption found in a study that used data from 24 different countries [43]. The plausible explanation of the finding could be that older students were more likely to access alcohol because they have passed the legal age of alcohol consumption [33]. Also, older age is associated with societal pressure, stress, and increased quest to achieve success and this could have increased their likelihood of resorting to consuming alcohol as a way of coping [33].

Consistent with previous literature from Ethiopia [7, 9] and Ghana [38], this study found that being a Muslim was associated with lower odds of alcohol consumption. This finding is not surprising as alcohol consumption is prohibited in the Islamic religion. It is against the religious doctrines as a Muslim to consume alcohol.

Also, the study found that peer influence was associated with higher odds of alcohol consumption. This finding corroborates studies from South Africa [13], Ethiopia [8, 9, 12, 15, 44] where peer influence was a significant predictor of alcohol consumption among tertiary students. Studies conducted in Ghana also reported similar findings [10, 11]. The social learning principle which emphasizes that individuals can learn bad behaviours from watching their peers [14] could explain the findings in the study. Also, as peers are important sources of social support and therefore, their pressure can be an enforcer for good and bad behaviour [14].

We found academic adjustment problems to be a significant predictor of alcohol consumption among the students. This finding is in line with previous studies which reported significant associations between students’ academic adjustment problems and alcohol consumption [12, 15, 45]. That is, the rate of alcohol consumption was higher among students with academic problems or those dissatisfied with their academic performance. Plausible factors that could explain the observed association include; difficulties in balancing academics with social life, low level of commitment towards the field of study, and course and assignment overload which could have predispose the students to consume alcohol.

Limitations of the study

The cross-sectional nature of the study did not allow for inferences of causality between alcohol consumption and the risk factors to be made. Second, the self-reported pattern of alcohol consumption and the perceived effects of alcohol use are often prone to recall and social desirability biases. Also, the study cannot be generalized to the general population because of the involvement of only tertiary students. Additionally, we did not perform rigorous statistical analysis for the perceived effects of alcohol consumption among the students. Furthermore, sample weights were not used in the present study and this limits it’s generalizability to other tertiary students. The use of simple random sampling technique in selecting study schools is another limitation of the study given the varying students population in the selected schools.

Conclusion

Our study found a relatively high prevalence of alcohol consumption among tertiary students in the Hohoe Municipality. Almost half of lifetime alcohol consumers were current drinkers. Among the lifetime alcohol consumers, self-reported effects included stomach pains or upset, accident, unprotected sex, loss of valuable items, excessive vomiting, diarrhea, risk of liver infection, debt, and petty theft. Factors perpetuating alcohol consumption among the students were peer pressure, increasing age (26 years and above), and academic adjustment problems. Being a Muslim was protective against alcohol consumption. Regular alcohol assessment should be carried out in tertiary schools to help identify students with potential alcohol problems in order for appropriated and tailored psychosocial interventions. Students with poor academic performance and psychological distress should be counseled to help them cope with their challenges without resorting to alcohol consumption. Health education on alcohol consumption, the risk factors and its effects should be intensified especially in both health and non-health training institutions highlighting the short- and long-term consequences of alcohol and the role of peers in shaping their behaviour.

Availability of data and materials

The datasets used or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AOR:

Adjusted Odds Ratio

CI:

Confidence Interval

COR:

Crude Odds Ratio

DALYs:

Disability Adjusted Life Years

FRANCO:

Saint Francis Training College

GHS-ERC:

Ghana Health Service Ethics Review Committee

MTS:

Midwifery Training School

THERESCO:

Saint Theresa’s Training College

UHAS:

University of Health and Allied Sciences

References

  1. Ssebunnya J, Kituyi C, Nabanoba J, Nakku J, Bhana A, Kigozi F. Social acceptance of alcohol use in Uganda. BMC psychiatry. 2020;20(1):1–7 https://doi.org/10.1186/s12888-020-2471-2.

    Article  Google Scholar 

  2. WHO. Alcohol. Retrieved from https://www.who.int/news-room/fact-sheets/detail/alcohol. Accessed on 12 June 2020.

  3. Htet H, Saw YM, Saw TN, Htun NM, Lay Mon K, Cho SM, et al. Prevalence of alcohol consumption and its risk factors among university students: a cross-sectional study across six universities in Myanmar. PLoS One. 2020;15(2):e0229329 https://doi.org/10.1371/journal.pone.0229329.

    Article  CAS  Google Scholar 

  4. WHO. Global Status Report on Alcohol and Health 2018. Geneva: Switzerland World Health Organization; 2018.

    Google Scholar 

  5. Olashore AA, Ogunwobi O, Totego E, Opondo PR. Psychoactive substance use among first-year students in a Botswana University: pattern and demographic correlates. BMC psychiatry. 2018;18(1):270 https://doi.org/10.1186/s12888-018-1844-2.

    Article  Google Scholar 

  6. Eze CU, Uzoeghe UI. Alcohol use among full-time students of the University of Abuja. Int J Emerg Mental Health Human Resilience. 2015;17(1):283–7.

    Google Scholar 

  7. Adere A, Yimer NB, Kumsa H, Liben ML. Determinants of psychoactive substances use among Woldia University students in northeastern Ethiopia. BMC research notes. 2017;10(1):441 https://doi.org/10.1186/s13104-017-2763-x.

    Article  Google Scholar 

  8. Gebreslassie M, Feleke A, Melese T. Psychoactive substances use and associated factors among Axum University students, Axum town, North Ethiopia. BMC Public Health. 2013 Dec 1;13(1):693. https://doi.org/10.1186/1471-2458-13-693.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Deressa W, Azazh A. Substance use and its predictors among undergraduate medical students of Addis Ababa University in Ethiopia. BMC Public Health. 2011 Dec 1;11(1):660. https://doi.org/10.1186/1471-2458-11-660.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Awimba PI. Factors contributing to alcohol use among the youth aged (16–35)–a case study in Bolgatanga Municipality of the Upper East Region, Ghana (Masters dissertation, University of Development Studies, Tamale, Ghana). 2018.

  11. Mensah EA. Substance use among students of a second cycle institution in Accra (masters dissertation, University of Ghana, Legon, Ghana); 2016.

    Google Scholar 

  12. Aklog T, Tiruneh G, Tsegay G. Assessment of substance abuse and associated factors among students of debre markos poly technique college in debre markos town, east Gojjam zone, Amhara regional state, Ethiopia, 2013. Global journal of medical research. 2013;13(4):1.

    Google Scholar 

  13. Ghuman S, Meyer-Weitz A, Knight S. Prevalence patterns and predictors of alcohol use and abuse among secondary school students in southern KwaZulu-Natal, South Africa: demographic factors and the influence of parents and peers. S Afr Fam Pract. 2012 Mar 1;54(2):132–8. https://doi.org/10.1080/20786204.2012.10874192.

    Article  Google Scholar 

  14. Mahmood NA, Othman SM, Al-Tawil NG, Al-Hadithi TS. Substance use among high school students in Erbil City, Kurdistan region: prevalence and potential contributing factors. East Mediterr Health J. 2019;25(11):806–12. https://doi.org/10.26719/emhj.19.022.

    Article  PubMed  Google Scholar 

  15. Hagos EG, Asfeha GG, Berihu BA. Prevalence of substance abuse among regular degree health science students in Sheba University College in Mekelle Town, Tigray-Ethiopia. Journal of neurosciences in rural practice. 2016 Apr;7(2):200. https://doi.org/10.4103/0976-3147.178670.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Balogun O, Koyanagi A, Stickley A, Gilmour S, Shibuya K. Alcohol consumption and psychological distress in adolescents: a multi-country study. J Adolesc Health. 2014;54(2):228–34 https://doi.org/10.1016/j.jadohealth.2013.07.034.

    Article  Google Scholar 

  17. Oti BN. Alcohol consumption among University of Ghana students on Legon campus (masters dissertation, University of Ghana, Legon, Ghana); 2016.

    Google Scholar 

  18. Degenhardt L, Charlson F, Ferrari A, Santomauro D, Erskine H, Mantilla-Herrara A, et al. The global burden of disease attributable to alcohol and drug use in 195 countries and territories, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet Psychiatry. 2018 Dec 1;5(12):987–1012. https://doi.org/10.1016/S2215-0366(18)30337-7.

    Article  Google Scholar 

  19. Griswold MG, Fullman N, Hawley C, Arian N, Zimsen SR, Tymeson HD, et al. Alcohol use and burden for 195 countries and territories, 1990–2016: a systematic analysis for the global burden of disease study 2016. Lancet. 2018;392(10152):1015–35. https://doi.org/10.1016/S0140-6736(18)31310-2.

    Article  Google Scholar 

  20. Spear LP. Effects of adolescent alcohol consumption on the brain and behaviour. Nat Rev Neurosci. 2018 Apr;19(4):197–214. https://doi.org/10.1038/nrn.2018.10.

    Article  CAS  PubMed  Google Scholar 

  21. Brown SA, McGue M, Maggs J, Schulenberg J, Hingson R, Swartzwelder S, Martin C, Chung T, Tapert SF, Sher K, Winters KC. A developmental perspective on alcohol and youths 16 to 20 years of age. Pediatrics. 2008 Apr 1;121(Supplement 4):S290–S310.

  22. Bagnardi V, Rota M, Botteri E, Tramacere I, Islami F, Fedirko V, et al. Alcohol consumption and site-specific cancer risk: a comprehensive dose–response meta-analysis. Br J Cancer. 2015 Feb;112(3):580–93. https://doi.org/10.1038/bjc.2014.579.

    Article  CAS  PubMed  Google Scholar 

  23. Gao B, Bataller R. Alcoholic liver disease: pathogenesis and new therapeutic targets. Gastroenterology. 2011 Nov 1;141(5):1572–85. https://doi.org/10.1053/j.gastro.2011.09.002.

    Article  CAS  PubMed  Google Scholar 

  24. Parker R, Neuberger JM. Alcohol, diet and drug use preceding alcoholic hepatitis. Dig Dis. 2018;36(4):298–305. https://doi.org/10.1159/000487392.

    Article  PubMed  Google Scholar 

  25. Williams EC, Hahn JA, Saitz R, Bryant K, Lira MC, Samet JH. Alcohol use and human immunodeficiency virus (HIV) infection: current knowledge, implications, and future directions. Alcohol Clin Exp Res. 2016 Oct;40(10):2056–72. https://doi.org/10.1111/acer.13204.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Rehm J, Shield KD, Joharchi N, Shuper PA. Alcohol consumption and the intention to engage in unprotected sex: systematic review and meta-analysis of experimental studies. Addiction. 2012 Jan;107(1):51–9. https://doi.org/10.1111/j.1360-0443.2011.03621.x.

    Article  PubMed  Google Scholar 

  27. Mekonen T, Fekadu W, Mekonnen TC, Workie SB. Substance use as a strong predictor of poor academic achievement among university students. Psychiatry J. 2017 Jan 1;2017:1–9. https://doi.org/10.1155/2017/7517450.

    Article  Google Scholar 

  28. Nasui BA, Popa M, Popescu CA. Drinking patterns and behavioral consequences: a cross-sectional study among Romanian university students. Slovenian Journal of Public Health. 2016;55(1):59–66. https://doi.org/10.1515/sjph-2016-0009.

    Article  PubMed  Google Scholar 

  29. Ukwayi JK, Lucy AU, Chibuzo CU, Undelikwo VA. Alcohol abuse as a cause of poor academic performance among social science students of the University of Calabar, Nigeria. Mediterr J Soc Sci. 2013 Jan 1;4(1):413.

    Google Scholar 

  30. John-Langba J, Ezeh A, Guiella G, Kumi-Kyereme A, Neema S. Alcohol, drug use, and sexual-risk behaviors among adolescents in four sub-Saharan African countries. InProceedings of the Population Association of America 2006 Annual Meeting Program 2006 Apr.

  31. Ferreira-Borges C, Parry CD, Babor TF. Harmful use of alcohol: a shadow over sub-Saharan Africa in need of workable solutions. Int J Environ Res Public Health. 2017 Apr;14(4):346. https://doi.org/10.3390/ijerph14040346.

    Article  PubMed Central  Google Scholar 

  32. Gebremariam TB, Mruts KB, Neway TK. Substance use and associated factors among Debre Berhan University students, Central Ethiopia. Substance abuse treatment, prevention, and policy. 2018;13(1):1–8.

    Article  Google Scholar 

  33. Ajayi AI, Owolabi EO, Olajire OO. Alcohol use among Nigerian university students: prevalence, correlates and frequency of use. BMC Public Health. 2019 Dec 1;19(1):752. https://doi.org/10.1186/s12889-019-7104-7.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Chikere EI, Mayowa MO. Prevalence and perceived health effect of alcohol use among male undergraduate students in Owerri, south-East Nigeria: a descriptive cross-sectional study. BMC Public Health. 2011;11(1):118. https://doi.org/10.1186/1471-2458-11-118.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Atwoli L, Mungla PA, Ndung'u MN, Kinoti KC, Ogot EM. Prevalence of substance use among college students in Eldoret, western Kenya. BMC psychiatry 2011 Dec;11(1):1–9, DOI: https://doi.org/10.1186/1471-244X-11-34.

  36. Hassan MN. Factors associated with alcohol abuse among University of Nairobi students (doctoral dissertation, University of Nairobi, Kenya); 2013.

    Google Scholar 

  37. Osman T, Victor C, Abdulmoneim A, Mohammed H, Abdalla F, Ahmed A, et al. Epidemiology of substance use among university students in Sudan. J Addict. 2016 Oct;2016:1–8. https://doi.org/10.1155/2016/2476164.

    Article  Google Scholar 

  38. Osei-Bonsu E, Appiah PK, Norman ID, Asalu GA, Kweku M, Ahiabor SY, et al. Prevalence of alcohol consumption and factors influencing alcohol use among the youth in Tokorni-Hohoe, Volta region of Ghana. Science Journal of Public Health. 2017;5(3):205–14. https://doi.org/10.11648/j.sjph.20170503.18.

    Article  Google Scholar 

  39. Ghana Statistical Service. Population & Housing Census: district analytical report: Hohoe municipality. Accra. 2010;2014.

  40. Snedecor GW, Cochran WG. Statistical methods, 8thEdn. Ames: Iowa State Univ Press Iowa. 1989;54:71–82.

    Google Scholar 

  41. Nkyi A. Substance abuse among senior high school students in Ghana. International Journal of Social Science and Education. 2014;4(2):346–53.

    Google Scholar 

  42. Ji CY, Hu PJ, Song Y. The epidemiology of alcohol consumption and misuse among Chinese college students. Alcohol Alcohol. 2012 Jul 1;47(4):464–72. https://doi.org/10.1093/alcalc/ags037.

    Article  PubMed  Google Scholar 

  43. Peltzer K, Pengpid S. Heavy drinking and social and health factors in university students from 24 low, middle income and emerging economy countries. Community Ment Health J. 2016 Feb 1;52(2):239–44. https://doi.org/10.1007/s10597-015-9925-x.

    Article  PubMed  Google Scholar 

  44. Kumburi GT, Gelgile AK, Hatehu BT, Gemechu DT. Psycho-active substances use and determining factors among regular undergraduate students of dire-Dawa University, eastern Ethiopia. Science Journal of Public Health. 2017;5(2):68–76. https://doi.org/10.11648/j.sjph.20170502.13.

    Article  Google Scholar 

  45. Tulu SK, Keskis W. Assessment of causes, prevalence and consequences of alcohol and drug abuse among Mekelle University, CSSL 2nd year students. Am J Appl Psychol,(3). 2015;3:47–56.

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Acknowledgements

We are grateful to the staff of the Hohoe Municipal Health Directorate, Hohoe Municipal Education Service, and Heads and Tutors of various institutions used for the study. We are also thankful to the students who participated in the study.

Funding

The study did not receive any funding.

Author information

Authors and Affiliations

  1. Department of Family and Community Health, School of Public Health, University of Health and Allied Sciences, Ho, Ghana

    Richard Gyan Aboagye & Paa Yeboah Akonor

  2. Department of General Studies, University of Environment and Sustainable Development, Somanya, Ghana

    Nuworza Kugbey

  3. School of Public Health, Faculty of Health, University of Technology Sydney, Sydney, Australia

    Bright Opoku Ahinkorah

  4. College of Public Health, Medical and Veterinary Services, James Cook University, Douglas, Australia

    Abdul-Aziz Seidu

  5. Department of Social and Behavioural Science, School of Public Health, University of Ghana, Legon-Accra, Ghana

    Abdul Cadri

Authors
  1. Richard Gyan Aboagye
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  3. Bright Opoku Ahinkorah
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  4. Abdul-Aziz Seidu
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  5. Abdul Cadri
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  6. Paa Yeboah Akonor
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Contributions

RGA, NK, and AC conceived the study. RGA, AC, BOA, AS, and PYA wrote the methods section and performed the data analysis. RGA, NK, BOA, AS, AC, and PYA were responsible for the initial draft of thee manuscript. All the authors reviewed and approved the final version of the manuscript.

Corresponding author

Correspondence to Richard Gyan Aboagye.

Ethics declarations

Ethics approval and consent to participate

Ethical approval for the study was obtained from the Ghana Health Service Ethics Review Committee (GHS-ERC) with a reference number (GHS-ERC:92/10/16). We strictly adhered to the ethical guidelines and protocols of the GHS-REC throughout the study. We sought institutional approval from the Ghana Education Service, Hohoe, and Heads of the various institutions. Before the commencement of data collection, written informed consent was sought from students aged 18 years and above before inclusion in the study. For students aged below 18 years, written informed consent was obtained from each student’s parents or guardian before participating in the study. Additionally, written parental or guardian consent and child assent were sought from each student before inclusion in the study. Respondents’ rights to withdraw from the study, confidentiality, participants’ privacy, risk, and benefits involved in the study were duly explained to the respondents after which interested respondents voluntarily signed the written consent or assent forms.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

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Aboagye, R.G., Kugbey, N., Ahinkorah, B.O. et al. Alcohol consumption among tertiary students in the Hohoe municipality, Ghana: analysis of prevalence, effects, and associated factors from a cross-sectional study. BMC Psychiatry 21, 431 (2021). https://doi.org/10.1186/s12888-021-03447-0

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Keywords

BMC Psychiatry

ISSN: 1471-244X

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