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MalikaKONGPharmacist,MPH
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References
International Conference on
Fibromyalgia and Chronic Pain (June 15-16, 2016 Philadelphia,
USA)
Fibromyalgia 2016 June 15-16, 2016
Title: Sociocultural Determinants and Alcohol Use Disorder among Working Population in
Cambodia.
Authors: Kong Malika1, Wongsa Laohasiriwong
2, Paricah Nippanon
3, Teerasak Phajan
4
1M.P.H.student, Faculty of Public Health, Khon Kaen University, Thailand.
2 Faculty of Public Health,
Research and Training Center for Enhancing Quality of Life of Working Age People. Khon Kaen University,
Thailand.3
Faculty of Public Health, Khon Kaen University, Thailand.4
Sirindhorn College of Public Health,
Khon Kaen University, Thailand
Introduction: There have been increasing trends of alcohol consumption in Cambodia. However, it effect on
consumers seldom been studied and reported.
Objective: To determine association between sociocultural and alcohol use disorder among working age
population in Phnom Penh city, Cambodia. 323 participants in 2017
Methodology: This cross sectional study was conducted in Phnom Penh municipal city, Cambodia in 2017.
Multi stage random sampling was used to select 323 working age people to response to structured
questionnaire. The Alcohol Use Disorders Identification Test (AUDIT) of the World Health Organization was
used to identify the alcohol use disorder status of the sample. Multiple logistic regression was used to
determine the association.
Result: Most of the participants were male 75.85% with the average age was 31.8 years old (SD ± 10.2). The
prevalence of alcohol use disorder was 53.56% which was included hazardous drinking (8-15 scores) 34.67%,
harmful drinking (16-19scores) 11.76%, and problem alcohol dependence (+20scores) 7.12%. The factors
associated to alcohol use disorder were male (Adjusted OR: 5.46, 95%CI: 2.7-11.03), overweight (Adjusted
OR: 1.7, 95%CI: 1.04-3.05), employed (Adjusted OR: 2.83, 95%CI: 1.42-5.65), current smoker (Adjusted OR:
4.5, 95%CI: 1.88-10.76), those had family drink alcohol (Adjusted OR: 4.28, 95%CI: 2.24-8.16), those had
close friend drink alcohol (Adjusted OR: 4.43, 95%CI: 1.22-16.13), those currently take medicine (Adjusted
OR: 3.56, 95%CI: 1.28-9.93), and those had chronic health problem (Adjusted OR: 2.57, 95%CI: 1.21-5.44),
which statistic were significantly p value <0.05.
Conclusion: The prevalence of alcohol use disorder was high; also, male, overweight, employed, current
smoking, family drink alcohol, friend drink alcohol, currently take medicine, and chronic health problem were
associated with alcohol use disorder in Cambodia.
Keywords: Alcohol use disorder, Hazardous drinking, Working Age Population, Sociocultural
Abbreviations: AUDIT: Alcohol use disorders identification test; BMI: Body mass index;
WHO: World Health Organization; HD: Hazardous drinking.
International Conference on
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USA)
Fibromyalgia 2016 June 15-16, 2016
BACKGROUND
Alcohol is the third risk factor for many death
and disability worldwide (WHO, 2009). A study in
2010 indicated that 2.5 million people globally in
2004 died by the alcohol consumption which is
included 32 000 people between of 15 to 29 years
old. In 2004 worldwide, 3.8% of death and 45% of
disability are caused by alcohol use. (Alwan, 2010).
There are more than 200 diseases and injury
conditions which is caused by alcohol consumption
(WHO, 2014). However, alcohol stay connected to
people’s living since long time ago and provide
people of relax feeling and more good
communication in the social. People consume more
alcohol, it will be alcohol poisoning and lead to
abuse. Then that person will become an alcoholic
person. Therefore, the global information system on
alcohol and health plays as important role to assess
and control the situation of alcohol consumption,
harmful of alcohol consumption, and policies in
alcohol use for many countries. As the actual
information has been showed that 3.3 million of
people die every year by drinking alcohol, and 60
vary of diseases are caused by alcohol consumption.
Also, it causes many health problems for people who
consume alcohol. 6.2liters of pure alcohol was
consumed by the people aged more than 15 years
old, as the report of worldwide about total alcohol
consumption with 25% of total consumption is
without any record. (WHO, 2017). The more people
drink alcohol , the more challenge of public health as
a result of much increase of prevalence of disease in
region of Asia-Pacific.(Jim E. Banta, 2013)
Cambodia is a low income country in Southeast
Asia, with a population of 15,957,223(Factbook,
2017). The number of alcohol drink in Cambodia
increased from 4.6(lite in pure alcohol) in 2003–
2005 to 5.5(lite in pure alcohol) in 2008–2010 in the
general population. Also, the pure alcohol
consumption per capita among drinker in Cambodia
was 14.2 lite; on the other hand, alcohol use
disorders and alcohol dependence in Cambodia were
4.4% and 2.7%, respectively, in 2010 that was higher
than the Western Pacific region average.(Peltzer,
Pengpid, & Tepirou, 2016). The prevalence of
alcohol use disorder in Cambodia was high.
(MaleWesley Yeung, 2015). In Cambodia, there is
no law to control related to alcohol use and buy; also,
no regulation about industry and local market.
However, Cambodia Ministry of Health has draft the
first law related to minimum the age of alcohol
drinking. “The law will limit people who are under
21 years of age from buying alcohol or going to
drink alcohol in bars” (Henderson, 2015). A research
in 2015 reported about the prevalence of alcohol use
disorder and episodic drinking in rural communities
in Cambodia was high. Male , younger age, and
increasing income were significant risk
factors.(Wesley Yeung, 2015)
MATERIALS AND METHODS
An observational study with cross-sectional
design was conducted in August 2017 by interview
after taking informed consent. Ethical approval was
made by Khon Kaen University Ethics Committee in
Human Research (No.HE602181). Section Multi-
stage sampling was used to select the samples in this
study. Phnom Penh municipality was selected and 5
International Conference on
Fibromyalgia and Chronic Pain (June 15-16, 2016 Philadelphia,
USA)
Fibromyalgia 2016 June 15-16, 2016
districts were randomly selected from the total of 12
districts of Phnom Penh municipality. Then 2
communes were randomly selected from each
selected district, so the total of 10 communes were
selected. Also, the ten communes such as Beorng
Salang,Psardepo1,Toul Svay PreyII,
Bengkengkong1, Wat Phnom, Chaktomuk, Phnom
Penh Tmey, Tektla, Prek Eng and Prekpra was
selected from district of Khan Toul Kork, Khan
Chamcarmon, Khan Doun Penh, Sen Sok, and Khan
Chbarampov. Then a systematic random sampling
method was applied to choose 323 households from
total 125,527 households. The totals of 323 samples
were randomly selected from each household if there
were more than one member of included criteria in
each household. The study population included the
working age population (age from 18 to 59 years old)
in Phnom Penh city of Cambodia, who are willing to
participate in the study and have no difficulties to
understand the questionnaire and express their ideas.
Study tool
The pre-testing of the questionnaire was conducted
30 participants in any communes and calculated for
reliability of the study using Cronbach alpha
coefficient >= 0.70 and Kuder–Richardson Formula
20 (KR-20)>=0.50 that was considered
appropriately. The questionnaire was adjusted and
corrected accordingly to ensure the validity and
reliability of the tool. Finally, the questionnaires
were adjusted and corrected accordingly, which were
ensured the validity and reliability of the tool. During
data collection real time, researcher served as mentor
or supervisor for data management to review all the
forms 323 of participant for completed each day, the
check for the completion and other errors. BMI was
measured by weight and height; also, hazardous
drinking of alcohol use disorder was measured by
AUDIT score ≥8 from WHO. Then knowledge,
marketing, and attitude were measured by rating the
scale and classified to criteria based on Bloom’s cut
off point (60%-80%).
Statistical Analysis Plan
The raw data of 323 responded participants had been
recorded into MS Excel for database management
before an in-depth analysis. After that the statistical
consideration for data analysis was used by STATA
(13.0) software to study and analyze the relationship
between dependent variable and independent
variables for this research, as well as descriptive
statistic by describing the frequency and percentage
as baseline of characteristic. Then the simple logistic
regression was used for analyze the association
between each independent variable and outcome.
Finally, the multiple logistic regressions adjusted
OR, 95% of Confident Interval (95%CI) with P value
< 0.05 was used to determine the factor associations
between sociocultural determinants with alcohol
consumption disorder. Cronbrach Alpha coefficient
>=0.7 and Kuder–Richardson Formula 20 (KR-
20)>=0.50 were used to test reliability.
RESULTS
The participants of this study was male 75.85%, and
the average age was 31.82 ± 10.26 SD years old. The
subject who were underweight was 11% and normal
weight was 41% while those who were overweight
and obesity are nearly 50%. However, those were
International Conference on
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Fibromyalgia 2016 June 15-16, 2016
single was comparable with married and divorced
within average income was 392 USD± 410USD per
month, and monthly expenditure was
286USD±282USD. Our present study, the
prevalence of hazardous drinking that was defined by
AUDIT score ≥ 8 was 53.56%. The result indicated
that male had more chance 5.46 times than female to
get HD (Adjusted OR: 5.46, 95%CI: 2.7-11.03)
which statistically was significant p value< 0.001.
For people who were overweight had chance 78%
more than those who were normal and underweight
to get HD (Adjusted OR: 1.78, 95%CI: 1.04-3.05)
and it was significantly p value: 0.03. Subjects who
were employed had more chance 2.83 times to get
HD compared with those who were unemployed
(Adjusted OR: 2.83, 95%CI: 1.42-5.65) with p value:
0.003. Those who were current smoker had more
chance 4.5times to get HD compared with
never/former smoker (Adjusted OR: 4.5, 95%CI:
1.88-10.76) which statistical was significant p value:
0.001. People who had family drinking alcohol were
more likely to get HD 4.28 times compared to those
did not have family drink alcohol (Adjusted OR:
4.28, 95%CI: 2.24-8.16) p value< 0.001 was
significantly. Subjects who had close friend drinking
alcohol were more likely to get HD 4.43 times
compared to those did not have family drink alcohol
(Adjusted OR: 4.43, 95%CI: 1.22-16.13) p value:
0.02 was significantly. People who were currently
take medicine had more chance to get HD 3.56 times
compared with those who never and former take
medicine regularly (Adjusted OR: 3.56, 95%CI:
1.28-9.93) with statically was significant p value:
0.01. The subjects who had chronic health problem
had more chance to get HD 2.57 times compared
with those who were not( Adjusted OR: 2.57,
95%CI: 1.21-5.44) ; p value: 0.01 was
significantly.(Table4)
Table 1: Baseline characteristics of respondents
Characteristics Number Percentage (%)
Overall 323
Sex
Male 245 75.85
Female 78 24.15
Age (years)
18-20 31 9.60
21-30 130 40.25
31-40 106 32.82
41-50 31 9.60
>50 25 7.74
Mean (SD) 31.8 ± 10.2
Median (Min: Max) 30 (18 – 59)
BMI ( Kg/m2)
Underweight ( <18.5) 37 11.46
Normal (18.5-22.99) 134 41.49
Overweight (23-24.99) 65 20.12
Obesity (>=25) 87 26.93
Marital status
Single 167 51.70
Married 142 43.96
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Divorced/widowed/separated 14 4.33
Income (USD/Month)
<200 84 26.01
200-300 126 39.01
>300 113 34.98
Mean (SD) 392 (± 410)
Median (Min: Max) 250 (0-4,500)
Expenditure (USD/Month)
<200 144 44.58
200-300 95 29.41
>300 84 26.01
Mean (SD) 286 (± 282)
Median (Min: Max) 200 (5-2,000)
Educational attainment
Uneducated 11 3.41
Primary school 57 17.65
Secondary school 49 15.17
High school 115 35.60
Bachelor degree or higher 91 28.17
Occupation
Private company officer 87 26.93
Vendor 84 26.01
Student 57 17.65
Government officer 25 7.74
Worker 19 5.88
Unemployed 5 1.55
Other 46 14.24
Family member
<5 133 41.18
>=5 190 58.82
People live with
Relatives/ family 122 37.77
Husband/wife 118 36.53
Alone 39 12.07
Friends 28 8.67
Partner 8 2.48
Other 8 2.48
Religion
Buddhist 315 97.52
Christian 5 1.55
Muslim 3 0.93
Physical activities
=<1/week 192 59.44
>1/week 131 40.56
Smoking
Never Smoking 226 69.97
Former Smoking 45 13.93
Current smoking 52 16.10
Family drink alcohol
No 83 25.70
Yes 240 74.30
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Close friend drink alcohol
No 26 8.05
Yes 297 91.95
Take medicine regularly
Never 261 80.80
Former Take 26 8.05
Current take 36 11.15
Chronic health problem
No 259 80.19
Yes 64 19.81
Table 2: Alcohol Use Disorder Identification Test
Characteristics Number Percentage (%)
AUDIT (1 year)
Low risk drinking ( 0-7) 150 46.44
Hazardous drinking (8-15) 112 34.67
Harmful drinking (16-19) 38 11.76
Problem Alcohol dependence (20+) 23 7.12
Mean (SD) 9.19 (6.71)
Median (Min: Max) 8 (0 : 30)
Table 3. Odds ratios for sociocultural determinants factors on alcohol use disorder (Hazardous
drinking) based on simple logistic regression.
Characteristics Number %HD OR 95%CI p-value
Overall 323 53.56
Sex <0.001
Female 78 28.21 1
Male 245 61.63 4.08 2.34 - 7.13
Age (years) 0.02
18-30 161 45.96 1
31-50 137 61.31 1.86 1.17-2.96
>50 25 60.00 1.76 0.74-4.15
BMI(Kg/m2) <0.001
Underweight and normal ( <23) 171 44.44 1
Overweight (>=23) 152 63.82 2.20 1.40-3.44
Marital status
Single 167 52.10 1 0.36
Married 142 53.52 1.05 0.67-1.65
Divorced/widowed/separated 14 71.43 2.29 0.69-7.62
Income (USD/Month) 0.38
<200 84 48.81 1
200-300 126 52.38 1.15 0.66 - 2
>300 113 58.41 1.47 0.83 - 2.59
Expenditure (USD/Month) 0.10
<200 144 47.22 1
200-300 95 56.84 1.47 0.87 - 2.47
>300 84 60.71 1.72 0.99 - 2.98
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Educational attainment 0.87
Under high school 117 52.99 1
Upper high school 206 53.88 1.03 0.65-1.63
Occupation (KHR Thousand/Month) <0.001
Unemployed 62 33.87 1
Employed 261 58.24 2.72 1.52 - 4.86
Family member 0.77
<5 133 52.63 1
>=5 190 54.21 1.06 0.68 - 1.66
People live with 0.81
Alone 39 53.85
Husband/wife 118 54.24 1.01 0.49-2.1
Partner 8 75.00 2.57 0.46-14.35
Friends 28 53.57 0.98 0.37-2.61
Relatives 122 50.82 0.88 0.42-1.82
Other 8 62.50 1.42 0.29-6.82
Physical activities 0.02
=<1/week 192 48.44 1
>1/week 131 61.07 1.66 1.06-2.62
Smoking <0.001
Never/former Smoking 271 47.60 1
Current smoking 52 84.62 6.05 2.74 - 13.34
Family drink alcohol <0.001
No 83 36.14 1
Yes 240 59.58 2.60 1.55-4.36
Close friend drink alcohol <0.001
No 26 19.23 1
Yes 297 56.57 5.46 2-14.89
Take medicine regularly 0.001
Never/Former Take 287 50.52 1
Current take 36 77.78 3.42 1.51-7.77
Chronic health problem <0.001
No 259 47.10 1
Yes 64 79.69 4.40 2.28-8.48
Marketing on Alcohol 0.04
Low level 59 38.98 1
Moderate level 235 56.60 2.04 1.13-3.65
High level 29 58.62 2.21 0.89-5.48
Attitude 0.7
Neutral and Positive 273 53.11 1
Negative 50 56 1.12 0.61-2.06
Knowledge 0.24
Fair/High 305 52.79 1
Poor 18 66.67 1.78 0.65-4.88
Significant p value <0.25
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Table 4. Odds ratios for sociocultural determinants factors on alcohol use disorder (Hazardous
drinking) based on multiple logistic regression.
Characteristics Number %HD Crude
OR
Adjusted
OR
95%CI p-value
Overall 323 53.56
Sex <0.001
Female 78 28.21 1 1
Male 245 61.63 4.08 5.46 2.7-11.03
BMI(Kg/m2) 0.035
Under/ normal weight ( <23) 171 44.44 1 1
Overweight (>=23) 152 63.82 2.20 1.78 1.04-3.05
Occupation 0.003
Unemployed 62 33.87 1 1
Employed 261 58.24 2.72 2.83 1.42-5.65
Smoking 0.001
Never/former Smoking 271 47.60 1 1
Current smoking 52 84.62 6.05 4.50 1.88-
10.76
Family drink alcohol <0.001
No 83 36.14 1 1
Yes 240 59.58 2.60 4.28 2.24-8.16
Close friend drink alcohol 0.024
No 26 19.23 1 1
Yes 297 56.57 5.46 4.43 1.22-
16.13
Take medicine regularly 0.015
Never/Former Take 287 50.52 1 1
Current take 36 77.78 3.42 3.56 1.28-9.93
Chronic health problem 0.014
No 259 47.10 1 1
Yes 64 79.69 4.40 2.57 1.21-5.44
Significant p value <0.05
DISCUSSION
In the study indicated that sex was associated with
AUD that define by AUDIT score ≥ 8 that that male
had more chance 5.46 times than female to get
hazardous drinking (Adjusted OR: 5.46, 95%CI: 2.7-
11.03) which statistically was significant p value<
0.001. It was comparable to the study in Korea that
women had a lower risk of high risk alcohol drinking
(OR: 0.14, 95% CI: 0.13–0.16, P<0.001) than men
(Hong et al., 2017). Also, it was similar to the result
male versus female (45.7% versus 17.0%; OR=0.23,
p<0.001) (Tynan et al., 2017) and another reported of
female had chance 70% less than male to get
hazardous drinking (Adjusted OR: 0.3, 95%CI: 0.17-
0.58) ; p value <0.001.(Jenkins et al., 2015). All in
all, this recent result which showed male had more
chance to get hazardous drinking compared to female,
it could be the reason that in Cambodia female was
less socialization compared to male, and Cambodia’s
culture, female with alcohol drinking was not
appropriate while male with alcohol is just the
International Conference on
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Fibromyalgia 2016 June 15-16, 2016
common thing. Regarding to occupation, this study
showed that subject who were employed had more
chance 2.83 times to get hazardous drinking
compared with those who were unemployed
(Adjusted OR: 2.83, 95%CI: 1.42-5.65) with p value :
0.003. By the same token, the study in Kenya 2015,
also, showed that employed people had more chance
to get hazardous drinking nearly 2 times compared to
those were not employed (adjusted OR: 1.8, 95%CI:
1.04 - 2.99, p value : 0.036)(Jenkins et al., 2015). As
a result, this study indicated that employed people
had more chance to get hazardous drinking compared
to unemployed people, it could be the result that those
who were working was more socialization and they
could afford more than unemployed people. Also, this
study was reported that current smoking was 16% and
never and former smoking was over 80%; likewise,
the previous study was 13% and never and former
smoking was more than 80% (Symon, Rankin,
Butcher, Smith, & Cochrane, 2017). In our study
indicated those who were current smoker had more
chance 4.5times to get HD compared with never and
former smoker (Adjusted OR: 4.5, 95%CI: 1.88-
10.76) which statistical was significant p value:
0.001. This agreed with the result of review in
Slovenia was smoker had more chance nearly 2 times
compared to those not smoke to get risky of drinking(
adjusted OR: 1.952, 95%CI: 1.615–2.360) with p
value < 0.001 significantly (Kolsek & Klemenc Ketis,
2015). The study in China was reported that the
current smoker had change to get HD 3.3 times more
than never/former smoker (adjusted OR: 3.3, 95% CI:
2.68–4.07); p value<0.05 was significant (Gao,
Weaver, Fua, & Pan, 2014). Likewise, the previous
study also indicated that smoking was associated with
AUD (adjusted OR: 6, 95%CI: 3.12-11.54) with p
value: 0.001 (Zenebe Y*, 2015). In conclusion,
current smoker had more chance to get HD. Also, in
Cambodia’s society, it could be the reason that the
group of people who smoke, most of them already
had experience of excessive or higher drinking
alcohol. In term of family drink alcohol, our analyze
showed that people who had family drinking alcohol
were more likely to get hazardous drinking 4.28
times compared to those did not have family drink
alcohol (Adjusted OR: 4.28, 95%CI: 2.24-8.16) p
value< 0.001 was significantly. It was similar to the
study in Southern Ireland that had been reported that
parents who were hazardous drinking associated to
the adolescent to get HD by the subjects who had
father HD were more likely to get HD almost 3 times
compared to those not (adjusted O.R = 2.90, 95 % CI:
1.32–6.35) with p value <0.05 (Murphy, O'Sullivan,
O'Donovan, Hope, & Davoren, 2016). It could be the
reason that family was the role model to their
children, and some time their children are the people
who consume the alcohol for their parents. Then it
provided much alcohol drinking in their living style.
Regarding to close friend drink alcohol, in the present
study, the result showed that close friend drink
alcohol was associated with HD. Our analyze showed
that the subject who had close friend drinking alcohol
were more likely to get hazardous drinking 4.43
times compared to those did not have family drink
alcohol (Adjusted OR: 4.43, 95%CI: 1.22-16.13) ;p
value: 0.02 was significantly. It was similar to the
other previous study in Thailand that men who had
peer alcohol drinking occasion were more likely to
International Conference on
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Fibromyalgia 2016 June 15-16, 2016
get HD 5 times compared to the men had peer never
drink (adjusted OR: 5.57, 95%CI: 2.02-15.31) and the
men who had peer drink usual were more likely to get
HD 23 times compared to those not (adjusted OR:
23.46, 95%CI: 7.29-75.43), which statistically was
significant <0.01. Also in the same study that showed
women who had peer drink occasion were more
likely to get HD nearly 8 times compared to women
who had peer never drink (adjusted OR: 7.94, 95%CI:
1.89-33.43) and those women who had peer drink
usual were more likely to get HD 63 times compared
with women who had peer never drink
(adjusted OR: 9.24-435.31), which p value<0.01
(Zenebe Y*, 2015). It might be the reason that those
who had alcohol drinking peer group, more or less
they must be influent by many meeting gatherings.
LIMITATION
Since our study was mentioned on working age
population and the location was Phnom Penh City,
the most busy municipality city in Cambodia. Hence,
the participants who were in this age were so busy in
their work, most of them go to work outside their
house during working hours in the week day; also,
some of them were doing business at their home
while we were asking them to join in this study.
However, during working on this study, we were
trying to do in weekend and the time that they are free
from their work in order to minimize the selection
bias as much as possible. Moreover, for the people
who were doing their own business at their home, we
were trying to convince them to join in this study
until they were willing to participate. All the
respondents were selected by systematic random
sampling method in order to make the result more
accurate. Moreover, during our study was raining
season, so we were not able to interview more
participants for the each raining day; however, we are
make sure that our report was the accurate in this
study.
CONCLUSION
Our present study, the prevalence of hazardous
drinking that was defined by AUDIT score ≥ 8 was
over 50% and there are 8 factors that associated with
hazardous drinking of AUD included sex, BMI,
occupation, smoking, family drink alcohol, close
friend, take medicine regularly, and chronic health
problem, which the statistically was significant p
value<0.05.
ACKNOWLEDGEMENTS
I am thankful to the study participants and local
administration for their kind and support. I am also
thankful to my professor for always support and
advice for achieving this research.
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