Literature DB >> 32084226

Prevalence of alcohol consumption and its risk factors among university students: A cross-sectional study across six universities in Myanmar.

Hein Htet1,2, Yu Mon Saw2,3, Thu Nandar Saw4,5, Nang Mie Mie Htun1, Khaing Lay Mon6, Su Myat Cho2, Thinzar Thike2,7, Aye Thazin Khine2,8, Tetsuyoshi Kariya2,3, Eiko Yamamoto2, Nobuyuki Hamajima2.   

Abstract

BACKGROUND: Globally, alcohol consumption is a significant public health concern and it is one of the most important risk behaviours among university students. Alcohol consumption can lead to poor academic performance, injuries, fights, use of other substances, and risky sexual behaviours among students. However, the study explored the prevalence of alcohol consumption and the associated risk factors among university students since these have not been fully examined in previous research. Therefore, the aim of this study was to explore the prevalence of alcohol consumption and the associated risk factors among university students in Myanmar.
METHODS: The present cross-sectional study was conducted using a sample of 15-24-year-old university students who were selected from six universities in Mandalay, Myanmar, in August 2018. In total, 3,456 students (males: 1,301 and females: 2,155) were recruited and asked to respond to a self-administered questionnaire. Multiple logistic regression analysis was used to estimate the adjusted odds ratio (AOR) and 95% confidence interval (CI) for alcohol consumption among university students.
RESULTS: The prevalence of alcohol consumption in the previous 30 days was 20.3% (males: 36.0%, females: 10.8%). The alcohol consumption was significantly higher among males (AOR = 2.3, 95% CI; 1.9-2.9), truant students (AOR = 2.1, 95% CI; 1.3-3.3), smokers (AOR = 7.0, 95% CI; 5.1-9.7), students who reported feeling of hopelessness or sadness (AOR = 1.4, 95% CI; 1.2-1.8), peers' alcohol consumption (AOR = 7.5, 95% CI; 4.8-11.7).
CONCLUSION: The present study revealed that males, smokers, peer alcohol consumption, and truant students had higher odds of alcohol consumption among the students. Therefore, effective campus-based counselling, peer education, and national surveillance systems that can monitor risky drinking behaviours among university students should be implemented. Further, government regulations that control the production, sale, promotion, advertising, and restriction of alcohol should be well developed and strengthened, as in the case of other Southeast Asian countries.

Entities:  

Year:  2020        PMID: 32084226      PMCID: PMC7034886          DOI: 10.1371/journal.pone.0229329

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Globally, alcohol consumption is a significant public health concern and it is one of the most important risk behaviours among young adults, including university students. Currently, 26.5% of the global population between the ages of 15 and 19 consumes alcohol [1]. In the United States, the 2017 Youth Risk Behaviour Survey reported that 29.8% of their student participants had consumed alcohol in the previous 30 days [2]. In Europe, the prevalence of alcohol use among university students was reported as follows: 46.2% (males) and 28.1% (females) in Bulgaria, 41.1% (males) and 18.1% (females) in Germany, and 20.1% (males) and 10% (females) in Poland, respectively [3]. Further, Korean and Filipino college students reported higher levels of alcohol consumption than their Chinese and Vietnamese counterparts [4]. In Japan, approximately 56.8% and 47.8% of male and female university students were binge drinkers [5]. In Southeast Asia, the prevalence of harmful alcohol use among university students is 24.4% in Laos, 10.8% in Thailand, 1.4% in Myanmar, and 0.7% in Indonesia [6]. The World Health Organization (WHO) recently reported that the prevalence of heavy episodic drinking among those between the ages of 15 and 19 is higher among males (47.2%) than among females (16.1%) in Myanmar [1]. Alcohol consumption accounts for 5.9% of annual global deaths, a significant proportion of which occur among youth [1]. An Asian multi-country study, which included Japan, reported that the alcohol-related mortality rate among 15 to 24-year-old youth was 15% among males and 6% among females [7]. Previous studies have reported that alcohol consumption can lead to poor academic performance, injuries, fights, the use of substances, and risky sexual behaviours among youth [8,9]. Moreover, alcohol consumption is an important modifiable risk factor for many non-communicable diseases (NCDs) [10]. Therefore, the reduction of harmful alcohol consumption has been specifically integrated into the Global Action Plan for the Prevention and Control of NCDs 2013–2020 and Sustainable Development Goals: Goal 3, target 3.5 [11]. However, at the international level, alcohol remains the only psychoactive substance that is not controlled by legally binding regulatory frameworks [11]. Similarly, in most Asian countries including Myanmar, alcohol consumption in youth and early adulthood is ascribed relatively low importance in the national health agenda [12]. Myanmar is one of the developing countries in Southeast Asia, and it has no current national legal policy regulating alcohol consumption among youth. Additionally, it does not have a robust national surveillance system to monitor risky alcohol consumption among youths. However, the WHO reported that 15,953 people had died from alcohol-related problems such as liver cirrhosis, road traffic injuries and cancers in 2016 in Myanmar [1]. Young people constitute 28% (16 million) of the total population in Myanmar. Nevertheless, youth health indicators have not been included in the National Health Management Information System in Myanmar [13]. Moreover, the risk behaviours among youth, including university students, have not been fully examined and information about alcohol consumption and its associated risk factors among 15 to 24-year-old university students in Myanmar is scant. Studies on alcohol consumption conducted in Southeast Asian countries, including Myanmar, have primarily focused on school age students; consequently, there is little information about university students. University life is a major developmental transition period commonly associated with addictive behaviours (such as alcohol consumption) that can be intensified by the college environment and may lead to dependency and abuse during college years [4]. Given its serious implications for future health (e.g., heavy episodic drinking, violence, social isolation), alcohol consumption among university students remains an important area of research in Myanmar. Therefore, the present study aimed to examine the prevalence of alcohol consumption and its associated risk factors among students. The findings are expected to inform university students about the possible dangers of alcohol consumption, and to contribute significantly to national guidelines, targets, policies, and strategies that pertain to the management and evaluation of youth health programs in Myanmar.

Methods

Study area and participants

A cross-sectional study was conducted across six universities in Mandalay, the Republic Union of Myanmar, in August 2018. Undergraduates studying arts and sciences, and healthcare related discipline participated in this study. The inclusion criteria were: 1) undergraduates aged 15–24, 2) attending university during the 2018–2019 academic year, 3) having no apparent physical or psychological disability (students diagnosed with mental disorders or under treatment were excluded), and 4) having consented to participate. A further eligibility inclusion criterion was their presence at the institutions at the day and time of data collection. In total, 3,456 university students between the ages of 15 and 24 were recruited. The data were collected during a one-month period and separately at each university on different days (about one to two classes per day at each university).

Sampling procedure

This study applied a two-stage probability sampling design that counted each university and classes with primary and secondary sampling units to recruit the representative samples. In the first stage, universities were selected on the bases of probability, proportional to the size of enrolment, and permission from representative authorities. In total, six out of seventeen universities were selected. In the second stage, a random sampling method was used to select the classrooms from each grade (with a random first pick) within the universities included in the first stage. This sampling offered an equal chance for each student to be chosen. All classrooms in each selected university were included in sampling frame. All students in the selected classes were invited to participate in this study.

Measure and data collection

The data were collected during a 45-minute class period using a pre-tested, self-administered questionnaire. It was adopted from the 2017 National Youth Risk Behavioural Surveillance Survey [2] and the 2016 Myanmar Global School-based Student Health Survey (GSHS) [11] that were developed by the WHO, the Centers for Disease Control and Prevention (CDC), and the Ministry of Health and Sports, Myanmar. The original English GSHS was translated, modified, and validated into Myanmar language by the Myanmar Ministry of Health and Sports. This study relied on the Myanmar language version of GSHS. The pre-test also was conducted among university students outside Mandalay Regions. The internal consistency (Cronbach’s alpha) of the pre-test and post-test was more than 0.80. The questionnaire consists of the items that require information about demographic characteristics and assess the important risk behaviours of students, including alcohol consumption.

Dependent variable

The main outcome measure (dependent variable) was “alcohol consumption” among university students. It was defined as “consuming at least one drink of alcohol (includes drinking a bottle of beer, a glass of wine, a glass of liquor such as whisky, rum, cocktail or mixed drink) on at least one day in the 30 days prior to the survey, but excludes drinking a few sips of wine for religious purposes”. The responses to this question were 0 days, 1–2 days, 3–5 days, 6–9 days, 10–19 days, 20–29 days, and all 30 days. It was then recoded as “no day (0)” and “1 or more days (1)” on a dichotomous scale.

Independent variables

The independent variables used for multiple logistic regression analysis were age (over or under 18), sex (female or male), monthly expenses (<120,000 Myanmar kyats or ≥120,000), academic year (first, second, third, fourth, fifth, or above), ethnicity (Bamar or others), living status (with family/relatives or alone), parents’ or guardians’ alcohol consumption (no or yes), peer alcohol consumption (no and yes), unauthorized absence from class in the previous 30 days (no or yes), smoking in the previous 30 days (no or yes), smokeless tobacco use in the previous 30 days (no or yes), ever use illicit drug (no or yes), ever attempted suicide in the previous 12 months (no or yes), being supervised by parents or guardians (no or yes), and hopelessness or sadness in the previous 12 months (no or yes).

Statistical analysis

The data analysis was conducted using the Statistical Package for Social Science (SPSS) software program version 24.0. Descriptive statistics (frequency and percentage) were computed for socio-demographics, the behavioural characteristics related to alcohol consumption and the associated risk factors. To examine risk factors, a multiple logistic regression analysis was conducted and the adjusted odds ratio (AOR) and 95% confidence interval (CI) were calculated. Using the forward method, age, sex, and monthly expenses were included in each step of the logistic regression model. Analysis was two-tailed, with a p-value of <0.05 considered to be statistically significant. As instructed by universities authorities, university names were not recorded.

Ethical considerations

This study was approved by the Institutional Technical and Ethical Review Board of the University of Public Health, Yangon, Myanmar (approval letter no. UPH-IRB 2018/Research/26 issued on the 31st of July 2018). Both verbal and written informed consents were obtained from students after explaining the aims, the procedure, possible benefits of the study, contents of the questionnaires, and the individual right to withdraw from the study without penalty. Moreover, the study information sheet that included study objectives, the contents of questionnaires, and rights of study participants were distributed to students, guardians, and parents one week prior to survey start date. This study recruited some minor students without their parents’ or guardians’ consent due to living away from their parents to study at University in Mandalay city area. Many Myanmar students start living independently when they enroll to University. The Institutional Technical and Ethical Review Board waived to obtain the parental and guardian informed consents and approved interview procedures due to the nature of study participants. However, the permission to conduct the university-based survey, and consent from local university academic and administrative board members needed to be obtained. In addition, the permission to conduct the university-based survey including the verbal and written consents were obtained from academic and administrative board members (Rectors, Pro-rectors, Registrars, Professors, and Heads of the teaching departments). The study was designed to entail anonymous and voluntary participation to protect the privacy of the students. Hence, students’ name and universities were not recorded. The data were kept confidential throughout all stages of data collection and analysis.

Results

Descriptive statistics

Background characteristics of university students

The sample (N = 3,456) consisted of 1,301 boys (37.6%) and 2,155 girls (62.4%) representing six universities. Their mean age was 18.7 years (SD = 1.6). More than half of the male (56.2%) and female (61.4%) participants were between the ages of 18 and 20. Approximately three-quarters of the sample belonged to the Bamar (74.0%) ethnic group. Further, approximately half of the males (49.5%) and more than half of the females (62.2%) lived with their family members. The monthly expenditure of more than 65.0% of males and females ranged from 100,000 to 300,000 kyats (Table 1).
Table 1

Background characteristics of university students (N = 3,456).

CharacteristicsMale (n = 1,301)Female (n = 2,155)Total (N = 3,456)
n%n%N%
Age group (years)
 15–1729622.859927.889525.9
 18–2073156.21,32461.42,05559.5
 21–2427421.023210.850614.7
Academic year
 First year32825.260127.992926.9
 Second year34426.447822.282223.8
 Third year26720.554425.281123.5
 Fourth year18714.428513.247213.7
 Fifth and above17513.524711.542212.2
Ethnicity
 Kachin393.0341.6732.1
 Kayar30.260.390.3
 Kayin60.5200.9260.8
 Chin151.2211.0361.0
 Bamar94772.81,61174.82,55874.0
 Mon151.2150.7300.9
 Rakhine70.5110.5180.5
 Shan1037.91426.62457.1
 Others*16612.829513.746113.3
Living status
 With family/relatives64449.51,38364.22,02758.7
 Alone65750.577235.81,42941.3
Monthly expense (MMK#)
 Less than 100,00034226.367331.21,01529.4
 100,000 to 300,00089768.91,41565.72,31266.9
 300,001 and more624.8673.11293.7

*Indians, Chinese, and multi-ethnics,

#Myanmar kyat (1USD = 1520.90 MMK on 19th April, 2019)

*Indians, Chinese, and multi-ethnics, #Myanmar kyat (1USD = 1520.90 MMK on 19th April, 2019)

Smoking, smokeless tobacco, drug use and other characteristics among university students

Table 2 shows that 22.2% of males and 1.2% of females had used some form of smoking tobacco at least once in the 30 days prior to the survey; similarly, 36.0% of males and 10.8% of females had made use of smokeless tobacco. Moreover, 2.5% of the students reported lifetime substance use (e.g., marijuana, amphetamines, inhalants); the sex-specific frequencies were 6.0% for males and 0.4% for females. Approximately one-third of both males (29.8%) and females (34.3%) reported feeling sad or hopeless in the 12 months preceding the survey, and approximately ten percent (9.7%) reported that they had attempted suicide during this time period. The majority of participants (94.3%) reported that they had not been monitored by their parents or guardians in the previous 30 days. Additionally, almost all students had a history of missing class without the requisite permission in the 30 days prior to the survey (males: 89.9%, females: 86.8%).
Table 2

Frequency of smoking, smokeless tobacco use, drug use and other characteristics among university students (N = 3,456).

CharacteristicsMale (n = 1,301)Female (n = 2,155)Total (N = 3,456)
n%n%N%
Smoking in the previous 30 days
 No1,01277.82,12998.83,14190.9
 Yes28922.2261.23159.1
Smokeless tobacco uses in the previous 30 days
 No83364.01,92289.22,75579.7
 Yes46836.023310.870120.3
Ever use illicit drug
 No1,22394.02,14799.63,37097.5
 Yes786.080.4862.5
Feeling sadness or hopeless in the previous 12 months
 No91470.31,41565.72,32967.4
 Yes38729.874034.31,12732.6
Ever attempt suicide in the previous 12 months
 No1,18290.91,93990.03,12190.3
 Yes1199.121610.03359.7
Being supervised by parents (or) guardians
 No1,20292.42,05695.43,25894.3
 Yes997.6994.61985.7
Absence of class without permission in the previous 30 days
 No13110.128413.241512.0
 Yes1,17089.91,87186.83,04188.0

Characteristics related to alcohol consumption among university students

Table 3 presents the findings that are related to students’ alcohol consumption. Overall, the prevalence of alcohol consumption was 20.3% (males: 36.0%, females: 10.8%). More than half of the males (52.8%) and approximately one-fourth (24.8%) of the females started drinking at the age of 10. Further, more than one-third of both males (38.0%) and females (36.0%) reported parental alcohol consumption, and almost all males (88.1%) and more than half of females (60.4%) reported peer alcohol consumption. Approximately 10% of the students had encountered social conflicts or problems as a consequence of drinking.
Table 3

Characteristics related to alcohol consumption among university students (N = 3,456).

CharacteristicsMale (n = 1,301)Female (n = 2,155)Total (N = 3,456)
n%n%N%
Age of alcohol initiation
 Never or non-drinker60146.21,60474.42,20563.8
 Less than 10 years131.0170.8300.9
 10 years or more68752.853424.81,22135.3
Alcohol consumption in the previous 30 days
 No83364.01,92289.22,75579.7
 Yes46836.023310.870120.3
Frequency of alcohol consumption in the previous 30 days
 Never or non-drinker83364.01,92289.22,75579.7
 1–9 days40731.322910.663618.4
 10 days and above614.740.2651.9
Source of getting alcohol
 Never or non-drinker83364.01,92289.22,75579.7
 Bought in a store or shop28321.81175.440011.6
 from friends or family1138.7773.61905.5
 Got some other way725.5391.81113.2
Parents’ or guardians’ alcohol consumption
 No80762.01,37964.02,18663.2
 Yes49438.077636.01,27036.8
Peers’ alcohol consumption
 No15511.985339.61,00829.2
 Yes1,14688.11,30260.42,44870.8
Social problems due to alcohol in the previous 30 days
 No1,10184.62,01493.53,11590.1
 Yes20015.41416.53419.9

Multivariate analysis was used to explore the risk factors for alcohol consumption among university students

Table 4 shows the results of the logistic regression analysis that pertained to alcohol consumption. The odds of consumption were high among males (AOR = 2.3, 95% CI; 1.9–2.9), smokers (AOR = 7.0, 95% CI; 5.1–9.7), older students (AOR = 1.5, 95% CI; 1.2–1.8), truant students (AOR = 2.1, 95% CI; 1.3–3.3), those whose monthly expenses were greater than or equal to 120,000 kyats (AOR = 1.8, 95% CI; 1.5–2.3), and those who reported feelings of sadness or hopelessness (AOR = 1.4, 95% CI; 1.2–1.8). Importantly, alcohol consumption by parents or guardians (AOR = 1.4, 95% CI; 1.2–1.8) and peers (AOR = 7.5, 95% CI; 4.8–11.7) increased the odds of alcohol consumption among students.
Table 4

Odds ratio (OR) and 95% confidence interval (CI) of alcohol consumption in the previous 30 days among university students (N = 3,456).

CharacteristicsAlcohol consumption (n = 701)No alcohol consumption (n = 2,755)UnadjustedAdjusted a)
n%n%OR95% CIOR95% CI
Sex
 Female23333.21,92269.81Reference1Reference
 Male46866.883330.24.6(3.9–5.3)***2.3(1.9–2.9) ***
Age (in years)
 Under 1810314.779228.81Reference1Reference
 18 or older59885.31,96371.32.3(1.9–2.9) ***1.5(1.2–1.8) **
Monthly expenses (MMK#)
 <120,00021831.11,47253.41Reference1Reference
 ≥120,00048368.91,28346.62.5(2.1–3.0) ***1.8(1.5–2.3) ***
Parents’ or guardians’ alcohol consumption
 No37453.41,81265.81Reference1Reference
 Yes32746.794334.21.7(1.4–2.0) ***1.4(1.2–1.8) ***
Peers’ alcohol consumption
 No223.198635.81Reference1Reference
 Yes67996.91,76964.217.2(11.2–26.5) ***7.5(4.8-11.7)***
Absence of class without permission in the previous 30 days
 No263.738914.11Reference1Reference
 Yes67596.32,36685.94.3(2.8–6.4) ***2.1(1.3–3.3) **
Smoking in the previous 30 days
 No45665.12,68597.51Reference1Reference
 Yes24535.0702.520.6(15.5–27.4) ***7.0(5.1–9.7) ***
Feeling sadness or hopeless in the previous 12 months
 No42360.31,90669.21Reference1Reference
 Yes27839.784930.81.5(1.2–1.8) ***1.4(1.2–1.8) ***

#Myanmar kyat (1USD = 1520.90 MMK on 19th April, 2019)

a) Adjusted for sex, age group, academic year, monthly expenses, parents’ or guardians’ alcohol consumption, friends’ alcohol consumption, absence of class without permission, smoking, feeling sadness or hopelessness in a forward method, compulsorily including sex, age group, academic year, and monthly expenses.

*P<0.05,

**P<0.01,

***P<0.001

#Myanmar kyat (1USD = 1520.90 MMK on 19th April, 2019) a) Adjusted for sex, age group, academic year, monthly expenses, parents’ or guardians’ alcohol consumption, friends’ alcohol consumption, absence of class without permission, smoking, feeling sadness or hopelessness in a forward method, compulsorily including sex, age group, academic year, and monthly expenses. *P<0.05, **P<0.01, ***P<0.001

Discussion

The present study revealed that sex, age, monthly expenses, parental and peer alcohol consumption, smoking habits, truancy, and feelings of sadness or hopelessness were positively associated with alcohol consumption. The prevalence of alcohol consumption among 15 to 24-year-old university students (i.e. in the 30 days prior to survey) was 20.3%. This figure is four times higher than 4.5% [11] which is the prevalence rate that was reported by the 2016 Myanmar Nationwide GSHS conducted among youth between the ages of 13 and 17. The higher prevalence rate found in this study may be attributable to the following factors: coping with the new university environment, living away from one’s family, lower levels of parental monitoring, and peer pressure. These factors may cause university students to engage in substance abuse behaviours to a greater extent than school-age youth [14]. A Serbian study found that university students consume alcohol to relieve stress and improve mood [15]. Moreover, alcohol was found to be the substance that was most abused by university students in the United Kingdom and Ireland [16]. However, the reported prevalence of alcohol consumption is lower in our study than in those conducted in Asia [17-19], Europe [20-22] and African region [23, 24]. This may be attributable to geographical differences in beliefs, religious and cultural practices, environmental factors, the accessibility and availability of alcohol, urbanization, lifestyle, national laws, and governmental and legal enforcement of alcohol-related regulations [1]. The present findings show that students who had missed classes without permission in the 30 days prior to the study demonstrated a more-than-twofold increase in alcohol consumption. This trend is consistent with previous findings that truant students are more likely to report alcohol consumption and alcohol-related problems than non-truant students [25-27]. Truancy is linked to an unfavourable educational environment and physical or mental disability among students. This suggests that truant students require greater levels of attention, supervision, and support. Accordingly, the WHO recommends the promotion of positive attitudes and positive student-teacher relationships as a means to protect students from substance abuse and depression [2]. Therefore, school authorities must create supportive university environments that enhance the physical, mental, and social well-being of students. Campus-wide interventions, web-based interventions and brief motivational interventions targeting addictive behaviours among university students have proved effective [28, 29]. In this study, students who felt hopeless or sad were more likely to consume alcohol than their hopeful and happy counterparts. Similar findings were reported in previous studies [30-34]. Hopelessness is highly relevant condition that could motivate someone to consume alcohol [30]. Similarly, substance use is closely related to factors such as hopelessness and anxiety sensitivity [35]. People who experience feelings of hopelessness tend to harbour negative expectations about future life events and are more likely to experience depressive disorders or depend on substances like benzodiazepines, opiates, and alcohol [36]. Academic stress, the pressure to succeed, and peer competition may cause university students to relieve their stress by consuming alcohol [37]. Therefore, counselling centres in universities must be more proactive and help students who exhibit the symptoms of depression or experience feelings of hopelessness. Intervention strategies that alleviate these feelings may be effective in preventing alcohol consumption among university students. In Myanmar, a mental health project was launched in 2006 and integrated into the school health services. However, there are several challenges in promoting the mental health of students due to an inadequate mental health workforce [11]. Therefore, effective institutional policies that facilitate the prevention of and education about the potentially negative psychological states of students (e.g. hopelessness) are required. Our study showed that students who smoked in the previous 30 days before the study were seven times more likely to consume alcohol than their non-smoking counterparts. Cigarette smoking during youth is strongly linked to subsequent alcohol use and abuse [6,20,37-40]. A systematic review also concluded that a higher quantity and frequency of alcohol consumption was associated with a higher prevalence of tobacco smoking among European university students [41]. In Myanmar, substance use and its related disorders are significant problems that affect youth [13]. In addition, students have easy access to alcoholic beverages in close proximity to their university because there is no legal regulation in Myanmar that controls the sale or promotion of alcohol within the areas surrounding an educational institution [3]. In Thailand, the Alcohol Control Act prohibits the sale of alcoholic beverages within 300 metres of higher educational institutions [9]. Myanmar needs similar robust alcohol-control policies that restrict the sale and promotion of alcohol beverages around educational institutions and sponsorship of sports or youth events in university settings. In the present study, one of the strongest predictors of alcohol consumption is peer alcohol consumption. Indeed, students with friends who consumed alcohol were seven times more likely to consume alcohol than those without. This finding concurs with the results of other studies [42,43]. For example, a study that was conducted in Thailand showed that peer influence has a significant impact on the initiation to alcohol consumption among youth [17]. Many students consider this to be normative and acceptable behaviour and a key social channel [44]. In recent years, alcohol consumption has become a popular social lifestyle behaviour among students in Myanmar. Therefore, campus-based counselling programs and harm-reduction strategies that screen for alcohol misuse and address students’ perceptions of peer alcohol consumption should be developed. Moreover, awareness campaigns that rely on media and peer education should be developed to facilitate positive behavioural changes among university students. Parents’ or guardians’ alcohol consumption emerged as a significant risk factor in the present study. In Myanmar, family is extremely important. Parents and guardians serve as role models for children, and exert great influence on adolescents’ drinking behaviour. Two studies that were conducted in Norway [45] and Ireland [46] showed that adolescents whose fathers misused alcohol consumed more alcohol than their counterparts of the same sex and age, whose fathers did not misuse alcohol. A systematic review also concluded that parental modelling is positively associated with adolescents’ early alcohol consumption [47]. Unsurprisingly, male students were twice as likely to consume alcohol than the female students in this study. This may be due to the majority of people in Myanmar being Theravada Buddhists, and intoxication through alcohol, drugs and other means is prohibited in their daily life [48]. Due to the influence of Buddhism, Myanmar society considers smoking, drug abuse, and alcohol drinking as a bad behaviour. However, alcohol (especially homemade alcohol and palm tree juice) is served at traditional and/or religious events in some Myanmar ethnic groups. Although society considers alcohol drinking as unacceptable behaviour for both males and females, disapproval is greater for the latter, while being regarded as one of the “wild behaviours” of males [49]. Therefore, traditionally, Myanmar women do not often drink alcohol and men consider it a common health-risk behaviour. This result confirmed previous study on substance abuse in Myanmar, which found that gender was a key risk factor for the early initiation of substance use [50]. Moreover, the global trends of alcohol consumption also highlighted that males often consumed higher amounts of alcohol and were more likely to be alcohol dependent than females [1,9,20,51,52]. Across all the WHO regions (including Myanmar), fewer females reported alcohol consumption than males [1]. This finding concurs with sex differences in the prevalence of alcohol use disorder (males: 3.2%, females: 0.6%) and alcohol dependence (males: 1.3%, females: 0.2%) in Myanmar [1]. Therefore, gender-specific alcohol prevention programs are urgently needed for the benefit of university students in Myanmar. This study provides the most current prevalence of alcohol consumption and its associated risk factors among university students in Myanmar. However, these findings must be interpreted within the confines of several limitations. First, the collected data, including alcohol consumption, was measured using a self-reported questionnaire; however, we ensured anonymity to reduce subjective bias. Nevertheless, self-report measures are important means of data collection and key sources of information, particularly in Southeast Asian countries where there is a scarcity of data on health-risk behaviours among youth. Second, the cross-sectional design of the present study limits the establishment of causal relationships between sociodemographic and behavioural factors, and alcohol consumption. Third, this study included university students in Mandalay city who were present on the day of the survey; this limits the generalistion of the findings to other demographic groups. Further, students who were absent or suspended from school may have been more likely to consume alcohol. If this is indeed the case, the overall prevalence of alcohol consumption that emerged in the present study might be an underestimate. However, given the large sample size (N = 3,456) of the study, the results may be considered to be robust and representative of the corresponding population.

Conclusion

In conclusion, the prevalence of alcohol consumption among 15 to 24-year-old university students in Mandalay, Myanmar, was 20.3% (males: 36.0%; females: 10.8%). Age, sex, monthly expenses, parental alcohol consumption, peer alcohol consumption, truancy, and feelings of sadness or hopelessness were risk factors for alcohol consumption. Therefore, effective campus-based counselling, peer education, and national surveillance systems that can monitor risky drinking behaviours among youth should be developed and implemented. Furthermore, governmental regulations regarding the production, sale, promotion, advertising, and restriction of alcohol should be well developed and strengthened in a manner that is similar to what is done in other Southeast Asian countries.
  44 in total

Review 1.  Reducing harm from alcohol: call to action.

Authors:  Sally Casswell; Thaksaphon Thamarangsi
Journal:  Lancet       Date:  2009-06-27       Impact factor: 79.321

Review 2.  Parenting factors associated with reduced adolescent alcohol use: a systematic review of longitudinal studies.

Authors:  Siobhan M Ryan; Anthony F Jorm; Dan I Lubman
Journal:  Aust N Z J Psychiatry       Date:  2010-09       Impact factor: 5.744

3.  The relations of trait anxiety, anxiety sensitivity, and sensation seeking to adolescents' motivations for alcohol, cigarette, and marijuana use.

Authors:  N Comeau; S H Stewart; P Loba
Journal:  Addict Behav       Date:  2001 Nov-Dec       Impact factor: 3.913

4.  Differences in the drinking behaviors of Chinese, Filipino, Korean, and Vietnamese college students.

Authors:  Chris Lum; Heather L Corliss; Vickie M Mays; Susan D Cochran; Camillia K Lui
Journal:  J Stud Alcohol Drugs       Date:  2009-07       Impact factor: 2.582

Review 5.  Personality and psychopathology of university students.

Authors:  Dusica L Tosevski; Milica P Milovancevic; Saveta D Gajic
Journal:  Curr Opin Psychiatry       Date:  2010-01       Impact factor: 4.741

6.  Hazardous alcohol consumption among university students in Ireland: a cross-sectional study.

Authors:  Martin P Davoren; Frances Shiely; Michael Byrne; Ivan J Perry
Journal:  BMJ Open       Date:  2015-01-29       Impact factor: 2.692

7.  Alcohol use amongst learners in rural high school in South Africa.

Authors:  Thembisile M Chauke; Hendry van der Heever; Muhammad E Hoque
Journal:  Afr J Prim Health Care Fam Med       Date:  2015-09-14

8.  Drinking patterns and the association between socio-demographic factors and adolescents' alcohol use in three metropolises in China.

Authors:  Shijun Lu; Songming Du; Xiaoqi Hu; Shurong Zou; Weijia Liu; Lei Ba; Guansheng Ma
Journal:  Int J Environ Res Public Health       Date:  2015-02-12       Impact factor: 3.390

9.  Gender difference in early initiation of methamphetamine use among current methamphetamine users in Muse, Northern Shan State, Myanmar.

Authors:  Yu Mon Saw; Thu Nandar Saw; Junko Yasuoka; Nyein Chan; Nang Pann Ei Kham; Wint Khine; Su Myat Cho; Masamine Jimba
Journal:  Harm Reduct J       Date:  2017-05-08

Review 10.  Measuring and preventing alcohol use and related harm among young people in Asian countries: a thematic review.

Authors:  Heng Jiang; Xiaojun Xiang; Wei Hao; Robin Room; Xiaojie Zhang; Xuyi Wang
Journal:  Glob Health Res Policy       Date:  2018-05-09
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  7 in total

1.  Alcohol Use Disorder and Associated Factors Among Jimma University Undergraduate Students.

Authors:  Daniel Alemu; Matiwos Soboka; Elias Tesfaye; Gutema Ahmed; Yonas Tesfaye
Journal:  Psychol Res Behav Manag       Date:  2020-07-27

2.  Perceived friendship and binge drinking in young adults: A study of the Human Connectome Project data.

Authors:  Guangfei Li; Yu Chen; Thang M Le; Simon Zhornitsky; Wuyi Wang; Isha Dhingra; Sheng Zhang; Xiaoying Tang; Chiang-Shan R Li
Journal:  Drug Alcohol Depend       Date:  2021-04-24       Impact factor: 4.852

3.  Quit attempts among current tobacco users attending the outpatient department of Dr Yusuf Dadoo district hospital, South Africa.

Authors:  Arlette I Bokoro; Elizabeth Reji; Olufemi B Omole
Journal:  S Afr Fam Pract (2004)       Date:  2020-08-17

4.  Findings from a Nationwide Study on Alcohol Consumption Patterns in an Upper Middle-Income Country.

Authors:  Tania Gayle Robert Lourdes; Hamizatul Akmal Abd Hamid; Mohd Ruhaizie Riyadzi; Wan Shakira Rodzlan Hasani; Mohd Hatta Abdul Mutalip; Norli Abdul Jabbar; Halizah Mat Rifin; Thamil Arasu Saminathan; Hasimah Ismail; Muhammad Fadhli Mohd Yusoff
Journal:  Int J Environ Res Public Health       Date:  2022-07-21       Impact factor: 4.614

5.  Drinking Behavior, Taste Preferences and Special Beer Perception among Romanian University Students: A Qualitative Assessment Research.

Authors:  Mirela Anamaria Jimborean; Liana Claudia Salanță; Anna Trusek; Carmen Rodica Pop; Maria Tofană; Elena Mudura; Teodora Emilia Coldea; Anca Farcaș; Maria Ilieș; Sergiu Pașca; Alina Uifălean
Journal:  Int J Environ Res Public Health       Date:  2021-03-23       Impact factor: 3.390

6.  The Association Between Alcohol-Related Problems and Sleep Quality and Duration Among College Students: a Multicountry Pooled Analysis.

Authors:  Rafaela Sirtoli; Teresa Balboa-Castillo; Rubén Fernández-Rodríguez; Renne Rodrigues; Gladys Morales; Miriam Garrido-Miguel; Yulder Valencia-Marín; Camilo Molino Guidoni; Arthur Eumann Mesas
Journal:  Int J Ment Health Addict       Date:  2022-01-27       Impact factor: 11.555

7.  Epidemiological Findings of Alcohol Misuse and Dependence Symptoms among Adolescent Girls and Young Women Involved in High-Risk Sexual Behavior in Kampala, Uganda.

Authors:  Yunia Mayanja; Onesmus Kamacooko; Daniel Bagiire; Gertrude Namale; Janet Seeley
Journal:  Int J Environ Res Public Health       Date:  2020-08-24       Impact factor: 4.614

  7 in total

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