Skip to main content
Download PDF

Alcohol drinking patterns among high school students in Ethiopia: a cross-sectional study

BMC Public Health volume 12, Article number: 213 (2012) Cite this article

Abstract

Background

Alcohol use is an important risk factor for morbidity, mortality and social harm among adolescents. There is paucity of data on alcohol use among high school students in Ethiopia. This study aimed to determine the prevalence and factors associated with alcohol use among high school students in Ethiopia

Methods

A cross-sectional study was conducted to assess the prevalence of alcohol use and its predictors among high school students in eastern Ethiopia in April 2010. A sample of students was taken from all schools based on their enrollment size. Prevalence estimates and their 95% confidence intervals were calculated. Logistic regression was performed to adjust and examine associations.

Results

A total of 1721 students participated in the study. The mean age of the study population was 16.4 (SD 1.6) years. A total of 372 (22.2%; 95% CI 20.2 - 24.2%) students drink alcohol. Of these, 118 (31.7%) were females and 254 (68.3) males. Multivariate analysis indicated that males (OR 2.09; 95% CI 1.45-3.00), older age (OR 1.16; 95% CI 1.01-1.34), having friends who used alcohol (OR 10.09; 95% CI 6.84-14.89) and living with people who use alcohol (OR 2.77; 95% CI 1.89-4.07) increased the odds of drinking among students.

Conclusion

There is a high level of alcohol use among high school students in the study area. Involvement of parents, health workers and school authorities are necessary to avert the problem. Specifically, their involvement in awareness campaigns and peer education training are important to encourage students to avoid alcohol use.

Peer Review reports

Background

There is global concern about drinking trends among young people. Alcohol consumption is an important risk factor for morbidity, mortality and social harm worldwide [1–3] leading to 2.5 million deaths each year [4]. It is responsible for approximately 4% of the global burden of disease. This burden is higher in high income countries and among men, accounting for 11% of all male deaths in the World Health Organization (WHO) European region in 2004 [2]. Even though the problem is said to be increasing in the developing world, there are no sufficient data on alcohol use and its consequences in many developing countries [4, 5].

The use of alcohol during the teenage and young adulthood years is a common phenomenon in many societies. For large numbers of youth it may signify psychological experimentation and risk taking [6]. Epidemiological studies indicate that a substantial proportion of alcohol users progress to problematic drinking or become alcohol dependent [7]. Alcohol consumption at a young age increases the risk of developing alcohol related problems later in life [8–11]. Among youth, drinking often coexists with other problem behaviors such as poor academic performance [12] and absenteeism [13] which may impair healthy development and successful transition from adolescence to adulthood [14].

A study conducted among high school adolescents in Ethiopia from 2001 to 2002 reported that about 8.9% drunk alcohol at least on a weekly bases [15], where as other reports among students in southern Ethiopia and a private school in Addis Ababa found a prevalence of 57.7% and 19.2% respectively [5]. In other sub-Saharan African countries like Kenya ever drinking prevalence of up to 15% were found among secondary school students [16], where some private universities had rates as high as 84% [17]. A study from South Africa also reported an alcohol use prevalence of 39.1% among high school adolescents [18].

As in other developing countries, the distribution and consumption of substances including alcohol are not sufficiently studied in Ethiopia [5, 19]. Alcohol consumption is not legally prohibited in Ethiopia and there are no age limits on alcohol drinking [19]. Culturally, it is consumed in social gatherings and among friends as a pass time activity and relaxation experience [19]. Description of the relationship between alcohol use and other important variables would usefully guide national policy and decision making on consumption patterns and how its impact could be mitigated. The main aim of this study was to determine the prevalence and factors associated with alcohol use among high school students in eastern Ethiopia.

Methods

Study setting and context

The study was conducted in Harar town located 525 km east of the capital city, Addis Ababa. Harari Regional State is one of the nine regions in Ethiopia and Harar town is its capital city. The town has nine high schools from grades 9 to 12 attended by adolescents. The total number of students enrolled in these schools in the academic year at the time of the study was 6523.

Study design and sample size

A descriptive cross-sectional study was conducted in April 2010 among high school students to assess the prevalence of alcohol use and its predictors. The sample size was calculated using the formula for estimation of a single proportion [20], n = z2*p(1-p)/d2. Where the z value is taken as 1.96; p, proportion of alcohol drinking, was assumed to be 36%; and d, the margin of error of estimation, was assumed to be 3% or 0.03. This provided a sample size of 990. And with a design effect of 2 and a 10% non-response rate, the final the sample size was 1890 students. Finally, a total of 1890 students, representing 29% of the study population, were surveyed. All schools were included in the study and a proportional stratified sampling technique was employed to obtain study units. A proportional sample of students were selected from each school and grades based on their enrollment size at the time of the study. Within grades, all students in the selected classes participated regardless of their age.

Data collection procedure

A self administered structured questionnaire consisting of open and closed ended questions was developed based on a review of the literature and by adaptation of the Youth Risk Behavior Survey (YRBS) questionnaire developed by the U.S. Centers for Disease Control and Prevention (CDC) [21, 22]. The anonymous questionnaire covers socio-demographic factors in addition to alcohol drinking habits. The English version of the questionnaire was translated into Amharic, the official language of the study area, by a panel of experts fluent in the language. It was then translated back into English by another person to ensure consistency with the English language questionnaire. Pre-testing of the questionnaire was undertaken in 5 percent of the sample size (95 students in schools outside but close to the study area) in similar areas before the actual data collection took place and corrections were made thereafter to improve the clarity of some items. Cultural equivalence was also sought in the adoption. For instance items on cannabis and violence were dropped since cocaine use is less known in the study area and that violence is not the objective of the study. The final version of the Amharic language questionnaire was used for the data collection. The participants anonymously responded to the items on the questionnaire using pen or pencils.

Variables

The dependent variables were alcohol use and its frequency. The independent variables included age, sex, religion, education/grade level, practice of alcohol use among family and friends, money spent on alcohol, previous exposure to drugs.

Operational definition

A student was considered as ever drinker if s/he responds yes to the question 'Have you ever drunk alcohol in your life?' Then follow up questions were employed to collect information such as drinking in the past 30 days and frequency of drinking. Current alcohol use is defined as use of alcohol at least once during the past 30 days before the survey.

Statistical analysis

The data were coded, entered, cleaned, and analyzed using IBM® SPSS® Statistics, version 15 for Windows. Descriptive statistics were conducted using frequencies and proportions. Bivariate and multivariate analyses were carried out using logistic regression to examine the relationship between the outcome variable of alcohol use and selected predictors. The multivariate logistic regression was conducted using simultaneous entry of independent variables. Outliers were inspected and multicollinearity among variables was examined using simultaneous entry linear regression. Adjusted and unadjusted odds ratios (OR) and their 95% confidence intervals (CI) were used as indicators of strength of association. A p-value of 0.05 or less was used as the cut-off level for statistical significance.

Ethics statement

Ethical clearance was obtained from Institutional Research Ethics Review Committee of Haramaya University, College of Health Sciences (Date, March 04, 2010). A letter of cooperation was written from Haramaya University and further approval was obtained from the regional health bureau and then the surveyed schools. The objective of the study was explained to the study participants. They were briefed about the confidentiality of their response and the importance of providing correct and accurate information, and that participation was voluntary. All participants included in the study have provided written consent.

Results

Study population characteristics

A total of 1721 students participated in the study with a response rate of 91.1%. Of these 856 (50.1%) were males and the rest 851 (49.9%) females, with a mean (SD) age of 16.4 (1.6) years. The majority, 839 (48.9%) of the students were 9th graders. The majority (92.5%) of the respondents were living with their parents at the time of the study (Tables 1 and 2).

Table 1 Socio-demographic characteristics of the sampled high school students in eastern Ethiopia (n = 1721)
Full size table
Table 2 Characteristics of alcohol ever drinkers among the sampled high school students (n = 372)
Full size table

Alcohol use of the study subjects

A total of 372 (22.2%; 95% CI 20.2 - 24.2%) respondents had ever drank alcohol, 179 (10.4%; 95% CI 9.0-11.8%) have drank alcohol in the past 30 days. More males (254; 68.3%) than females (118; 31.7%) were ever drinkers. The mean age of drinkers was 17.5 years, 17.3 for males and 17.8 for females. There was no difference in mean age of drinking by sex (t = 1.909, p = 0.06). Two hundred and ninety six (79.5%) of the respondents drank alcohol in bars and restaurants, while 62 (16.7%) drank at home. The majority of the drinkers (60.5%) drank alcohol with their friends and 119 (32.1%) consumed with their parents. Thirty eight percent of the participants were living with people who drank alcohol (living arrangements include 46.0% with father or mother; 17.2%, brothers or sisters; 16.6%, with relatives; and 14.3%, with friends). About 34% of the participants had friends who drank alcohol. Concerning the source of money for buying alcohol, 266 (71.6%) of the drinkers got money from their parents and 55 (14.9%) from friends. Drinkers spent an average of 65.2 Ethiopian birr ($4.1) per week for alcohol. About 31% (114) and 46% (186) of the students were also smokers and Khat chewers respectively on top of alcohol drinking. Further details are provided in the Table 2.

Determinants of drinking alcohol, multivariate results

Logistic regression analysis was performed to identify the effect of each variable on drinking alcohol. Multivariate analysis of the dependent variable (alcohol drinking) with other outcome variables revealed that sex, age, having friends who drink alcohol and living with people who consume alcohol have strong association with drinking alcohol among the students. Though the bivariate analysis showed significant difference in drinking alcohol by grade level and religion, this difference disappeared in the multivariate analysis (Table 3).

Table 3 Logistic regression estimates of independent predictors of alcohol drinking among sampled high school students in eastern Ethiopia (n = 1721)§
Full size table

Discussion

There is a growing concern regarding the increase in preventable harms attributed to adolescent alcohol consumption [23]. Such concern has prompted medical and research debate regarding the delaying of adolescent alcohol consumption for as long as possible [7, 8, 24]. This study tried to investigate alcohol use among high school adolescents in eastern Ethiopia.

The findings indicate an alcohol use prevalence of 22.2% (95% CI 20.2 - 24.2%) among the sampled high school students. About 10% (95% CI 9.0-11.8%) have drank in the past 30 days. We have also identified that male gender (OR 2.09; 95% CI 1.45-3.00), older age (OR 1.16; 95% CI 1.01-1.34), having friends who drink alcohol (OR 10.09; 95% CI 6.84-14.89) or living with people who use alcohol (OR 2.77; 95% CI 1.89-4.07) as strong predictors of drinking among the students.

Our finding of ever and past month alcohol drinking of 22.2% and 10.4% respectively seem to be lower than the report from Addis Ababa which indicated alcohol drinking prevalence of 45.7% and 26.5% in the same order [25]. The main explanation for this is probably that Harar town is more cultural and value oriented than those studied in Addis Ababa. Also the fact that there is less exposure to alcohol advertising compared to Addis Ababa where billboards and FM radio advertisements are abound and could contribute to the lower drinking level in this study [26, 27]. It is also lower than 41.8% past 30 days drinking by high school students in the USA [28] and 51.9% ever-drinking prevalence of alcohol use reported among secondary school students in Kisumu town, Kenya [29]. Similarly, a South African study reported an alcohol use prevalence of 39.1% among high school adolescents [18]. Other studies among high school students in Africa also report similar finding of a high prevalence rates of alcohol use, ranging from 15% to 57.9% [16, 18, 30]. The primary reason for the comparatively lower alcohol drinking level in this study could be lack of access due to cultural and economic reasons. Despite this, the level of drinking in this study is far from normal and should be a cause for concern as it is a dangerous precedent for other risky behaviors both during adolescence and in adult life [24]. Already, 30 percent of ever drinkers have also smoked a cigarette. Furthermore there are no assurances that the observed level of drinking could not progress to high levels of drinking over time and multi-substance use.

In this study, the average age at which the respondents started using alcohol was 17.5 years. On average, both sexes seem to start drinking beyond the high risk age of 14 years, which is associated with high risk for alcohol abuse and dependence in later life according to studies on sample populations from the USA [24]. However, a recent systematic review indicates that later adolescence drinking could progress into late adulthood drinking habits, and it was also associated with suicide, car crashes and mental and social problems [31]. Currently, a legal age limit for drinking as well as other important ordinances that ban drinking in certain places and advertising that tempt adolescents do not exist in the country, probably indicating the little attention given to adolescent drinking [19]. This is understandable given the infectious disease focus of health authorities in developing countries.

Our findings indicate that males have higher odds of drinking than females (2.09; 95% CI 1.45-3.00). This is a common finding in substance use studies where males use substances more and show higher tendency for dependence than females. Apart from measurement and reporting issues [32, 33], it could mainly be explained by higher exposure opportunities due to reasons such as psychological, family and social factors [32, 34, 35]. The findings also indicate that having friends who drink alcohol and living with people who drink alcohol are very strong predictors of alcohol use among the sample studied. This is in line with the consistent findings in the literature concerning peer pressure, influence of social groups and the suggestibility of adolescents toward alcohol drinking as well as other substances [7, 36–38]. Hence, this calls for awareness campaigns that have more focus on social groups and peers.

This study has limitations. One of them is the use of self-reporting methods. Self-reporting is prone to recall bias and under reporting due to social desirability bias. As a result the reported data are most likely an underestimation of true levels of drinking. However, we could not also exclude the possibility of exaggeration [39]. The other important consideration is that non-respondents might have higher levels of drinking compared to respondents. This is because one of the reasons of non-response in this study is absence from class which could be due to substance related delinquency. Furthermore, close to half of the sample is composed of ninth graders. The trend of decreasing student numbers in subsequent classes might be due to a range of underlying factors influencing school attendance, the role of risk behaviors such as substance use cannot be ruled out.

Conclusions

In conclusion, our findings indicate that there are high levels of alcohol drinking among the sampled high school students. Parents, as well as school and health authorities need to work more toward awareness creation about the hazards of alcohol drinking. We also call upon policy makers to put in place ordinances for adolescent drinking.

References

  1. Rehm J, Room R, Monteiro M, Gmel G, Graham K, Rehn N, Sempos CT, Jernigan D: Alcohol as a risk factor for global burden of disease. Eur Addict Res. 2003, 9 (4): 157-164. 10.1159/000072222.

    Article  PubMed  Google Scholar 

  2. Rehm J, Mathers C, Popova S, Thavorncharoensap M, Teerawattananon Y, Patra J: Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet. 2009, 373 (9682): 2223-2233. 10.1016/S0140-6736(09)60746-7.

    Article  PubMed  Google Scholar 

  3. Beaglehole R, Bonita R: Alcohol: a global health priority. Lancet. 2009, 373 (9682): 2173-2174. 10.1016/S0140-6736(09)61168-5.

    Article  PubMed  Google Scholar 

  4. WHO: Global status report on alcohol. Mental health and Substance Abuse. 2011, Geneva: World Health Organization

    Google Scholar 

  5. Alem A, Kebede D: Alcohol and substance abuse. Epidemiology and ecology of health and diseases in Ethiopia. Edited by: Berhane Y, Haile-Mariam Damen, Kloos H. 2006, Addis Ababa: Ethiopian Public Health Association (EPHA), 807-827.

    Google Scholar 

  6. Shedler J, Block J: Adolescent drug use and psychological health. A longitudinal inquiry. Am Psychol. 1990, 45 (5): 612-630.

    Article  CAS  PubMed  Google Scholar 

  7. Merline A, Jager J, Schulenberg JE: Adolescent risk factors for adult alcohol use and abuse: stability and change of predictive value across early and middle adulthood. Addiction. 2008, 103 (Suppl 1): 84-99.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Hingson RW, Heeren T, Winter MR: Age at drinking onset and alcohol dependence: Age at onset, duration, and severity. Arch Pediatr Adolesc Med. 2006, 160: 739-746. 10.1001/archpedi.160.7.739.

    Article  PubMed  Google Scholar 

  9. Grant BF, Stinson FS, Harford TC: Age at onset of alcohol use and DSM-IV alcohol abuse and dependence: a 12-year follow-up. J Subst Abuse. 2001, 13 (4): 493-504. 10.1016/S0899-3289(01)00096-7.

    Article  CAS  PubMed  Google Scholar 

  10. Moore E, Coffey C, Carlin JB, Alati R, Patton GC: Assessing alcohol guidelines in teenagers: results from a 10-year prospective study. Aust N Z J Public Health. 2009, 33 (2): 154-159. 10.1111/j.1753-6405.2009.00363.x.

    Article  PubMed  Google Scholar 

  11. Bonomo YA, Bowes G, Coffey C, Carlin JB, Patton GC: Teenage drinking and the onset of alcohol dependence: a cohort study over seven years. Addiction. 2004, 99 (12): 1520-1528. 10.1111/j.1360-0443.2004.00846.x.

    Article  PubMed  Google Scholar 

  12. Mason WA, Windle M: Family, religious, school and peer influences on adolescent alcohol use: a longitudinal study. J Stud Alcohol. 2001, 62 (1): 44-53.

    Article  CAS  PubMed  Google Scholar 

  13. Gruber E, DiClemente RJ, Anderson MM, Lodico M: Early drinking onset and its association with alcohol use and problem behavior in late adolescence. Prev Med. 1996, 25 (3): 293-300. 10.1006/pmed.1996.0059.

    Article  CAS  PubMed  Google Scholar 

  14. Schulenberg J, O'Malley PM, Bachman JG, Wadsworth KN, Johnston LD: Getting drunk and growing up: trajectories of frequent binge drinking during the transition to young adulthood. J Stud Alcohol. 1996, 57 (3): 289-304.

    Article  CAS  PubMed  Google Scholar 

  15. Kebede D, Alem A, Mitike G, Enquselassie F, Berhane F, Abebe Y, Ayele R, Lemma W, Assefa T, Gebremichael T: Khat and alcohol use and risky sex behaviour among in-school and out-of-school youth in Ethiopia. BMC Public Health. 2005, 5: 109-10.1186/1471-2458-5-109.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Kuria MW: Drug abuse among urban as compared to rural secondary schools students in Kenya: a short communication. East Afr Med J. 1996, 73 (5): 339-

    CAS  PubMed  Google Scholar 

  17. Odek-Ogunde M, Pande-Leak D: Prevalence of substance use among students in a Kenyan University: a preliminary report. East Afr Med J. 1999, 76 (6): 301-306.

    CAS  PubMed  Google Scholar 

  18. Madu SN, Matla MQ: Illicit drug use, cigarette smoking and alcohol drinking behaviour among a sample of high school adolescents in the Pietersburg area of the Northern Province, South Africa. J Adolesc. 2003, 26 (1): 121-136. 10.1016/S0140-1971(02)00120-3.

    Article  PubMed  Google Scholar 

  19. EPHA: Legal aspects of substance and alcohol abuse in Ethiopia: Executive summary. 22nd Annual Conference of the Ethiopian Public Health Association. Edited by: Teshome T. 2011, Addis Ababa: Ethiopian Public Health Association

    Google Scholar 

  20. Kelsey JL, Whittemore AS, Evans AS, Thompson WD: Methods of sampling and estimation of sample size. Methods in observational epidemiology. 1996, New York and Oxford: Oxford University Press, 311-340.

    Google Scholar 

  21. Kann L: The Youth Risk Behavior Surveillance System: Measuring health-risk behavior. Am J Health Behav. 2001, 25: 272-277. 10.5993/AJHB.25.3.14.

    Article  CAS  PubMed  Google Scholar 

  22. Kolbe LJ, Kann L, Collings JL: Overview of the youth risk behavior surveillance system. Public Health Reports. 1993, 108 (Suppl1): 2-10.

    PubMed  PubMed Central  Google Scholar 

  23. Livingston M: Recent trends in risky alcohol consumption and related harm among young people in Victoria, Australia. Aust N Z J Public Health. 2008, 32 (3): 266-271. 10.1111/j.1753-6405.2008.00227.x.

    Article  PubMed  Google Scholar 

  24. DeWit DJ, Adlaf EM, Offord DR, Ogborne AC: Age at first alcohol use: a risk factor for the development of alcohol disorders. Am J Psychiatry. 2000, 157 (5): 745-750. 10.1176/appi.ajp.157.5.745.

    Article  CAS  PubMed  Google Scholar 

  25. Teshome D: Prevalence of substance use and its determinants among highschool students in Addis Ababa. 22nd Conference of the Ethiopian Public Health Association. Volume Abstract 5. 2011, Addis Ababa: EPHA, 15-16.

    Google Scholar 

  26. Anderson P, de Bruijn A, Angus K, Gordon R, Hastings G: Impact of alcohol advertising and media exposure on adolescent alcohol use: a systematic review of longitudinal studies. Alcohol Alcohol. 2009, 44 (3): 229-243.

    Article  PubMed  Google Scholar 

  27. Ellickson PL, Collins RL, Hambarsoomians K, McCaffrey DF: Does alcohol advertising promote adolescent drinking? Results from a longitudinal assessment. Addiction. 2005, 100 (2): 235-246. 10.1111/j.1360-0443.2005.00974.x.

    Article  PubMed  Google Scholar 

  28. Eaton DK, Kann L, Kinchen S, Shanklin S, Ross J, Hawkins J, Harris WA, Lowry R, McManus T, Chyen D, et al: Youth risk behavior surveillance - United States, 2009. MMWR Surveill Summ. 2010, 59 (5): 1-142.

    PubMed  Google Scholar 

  29. 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, 11: 34-10.1186/1471-244X-11-34.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Otieno AO, Ofulla AVO: Drug abuse in Kisumu town western Kenya. Afr J Food, Agric, Nutr Dev. 2009, 2009 (3): 846-858.

    Google Scholar 

  31. McCambridge J, McAlaney J, Rowe R: Adult consequences of late adolescent alcohol consumption: A systematic review of cohort studies. PLoS Med. 2011, 8 (2): e1000413-10.1371/journal.pmed.1000413.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Dawson DA, Archer L: Gender differences in alcohol consumption: effects of measurement. Br J Addict. 1992, 87 (1): 119-123. 10.1111/j.1360-0443.1992.tb01909.x.

    Article  CAS  PubMed  Google Scholar 

  33. Dawson DA: Methodological issues in measuring alcohol use. Alcohol Res Health. 2003, 27 (1): 18-29.

    PubMed  Google Scholar 

  34. Kullgren G, Alibusa S, Birabwa-Oketcho H: Problem drinking among patients attending primary healthcare units in Kampala, Uganda. Afr J Psychiatry (Johannesbg). 2009, 12 (1): 52-58.

    CAS  Google Scholar 

  35. Nielsen MF, Resnick CA, Acuda SW: Alcoholism among outpatients of a rural district general hospital in Kenya. Br J Addict. 1989, 84 (11): 1343-1351. 10.1111/j.1360-0443.1989.tb00736.x.

    Article  CAS  PubMed  Google Scholar 

  36. Mundt MP: The impact of peer social networks on adolescent alcohol use initiation. Academic Pediatrics. 2011, 11 (5): 414-421. 10.1016/j.acap.2011.05.005.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Newcomb MD: Psychosocial predictors and consequences of drug use: a developmental perspective within a prospective study. J Addict Dis. 1997, 16 (1): 51-89. 10.1300/J069v16n01_05.

    Article  CAS  PubMed  Google Scholar 

  38. Almeida-Filho N, Lessa I, Magalh es L, Araujo MJ, Aquino E, Kawachi I, James SA: Alcohol drinking patterns by gender, ethnicity, and social class in Bahia, Brazil. Rev Saude Publica. 2004, 38 (1): 45-54.

    Article  PubMed  Google Scholar 

  39. Tourangeau R, Yan T: Sensitive questions in surveys. Psychol Bull. 2007, 133 (5): 859-883.

    Article  PubMed  Google Scholar 

Pre-publication history

Download references

Acknowledgements

We thank school authorities, teachers and students for their collaboration. Our thanks also go to Kelemwork Dersolign and Yordanos Asalif for providing us secretarial support.

Author information

Authors and Affiliations

  1. Department of Public Health, College of Health Sciences, Haramaya University, P. O. Box 235, Harar, Ethiopia

    Ayalu A Reda & Asmamaw Moges

  2. Department of Environmental Health Science, College of Health Sciences, Haramaya University, Harar, Ethiopia

    Berhanu Y Wondmagegn

  3. Department of Epidemiology and Biostatistics, College of Medical and Health Sciences, Jimma University, Jimma, Ethiopia

    Sibhatu Biadgilign

Authors
  1. Ayalu A Reda
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Asmamaw Moges
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Berhanu Y Wondmagegn
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sibhatu Biadgilign
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ayalu A Reda.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

AAR, AM and BY designed and compiled data collection instruments. AAR, AM and BY wrote the proposal. AM and BY have involved significantly in data collection. AAR and AM involved in data analysis. AAR and SB have contributed significantly to the writing of the manuscript. All authors read and approved the final manuscript.

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Reda, A.A., Moges, A., Wondmagegn, B.Y. et al. Alcohol drinking patterns among high school students in Ethiopia: a cross-sectional study. BMC Public Health 12, 213 (2012). https://doi.org/10.1186/1471-2458-12-213

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2458-12-213

Keywords

  • High School Student
  • Alcohol Drinking
  • Youth Risk Behavior Survey
  • Adolescent Drinking
  • Drunk Alcohol

BMC Public Health

ISSN: 1471-2458

Contact us