Open Access
Open Peer Review

This article has Open Peer Review reports available.

How does Open Peer Review work?

Prevalence, patterns and correlates of alcohol consumption and its’ association with tobacco smoking among Sri Lankan adults: a cross-sectional study

  • Prasad Katulanda1Email author,
  • Chathuranga Ranasinghe1,
  • Amila Rathnapala1,
  • Nalika Karunaratne1,
  • Rezvi Sheriff1 and
  • David Matthews2
BMC Public Health201414:612

DOI: 10.1186/1471-2458-14-612

Received: 26 January 2014

Accepted: 13 June 2014

Published: 17 June 2014

Abstract

Background

Most studies on alcohol consumption carried out in Sri Lanka are limited to single/few provinces in the island. The objective of this study was to determine the prevalence, patterns and correlates of alcohol consumption among a larger sample of adults in Sri Lanka.

Methods

This cross-sectional study was conducted in seven of all nine provinces in Sri Lanka, between 2005 and 2006. A nationally representative sample of 5000 adults aged ≥18 years was selected using multi-stage random cluster sampling. Data of 4532 participants were collected using an interviewer administered questionnaire. Data analysis included chi-squared test, multiple logistic regression analysis and Spearman correlation using Stata/SE 10.0 (StataCorp LP., Texas, USA) software package.

Results

Males were 40%; mean age was 46.1 years (±15.1). The overall, urban and rural prevalence (95% CI) of current drinking was 23.7% (21.7 – 25.7), 29.5% (25.7 – 33.3) and 22.2% (19.8 – 24.7) respectively (p = 0.001). Current (M: 48.1%, F: 1.2%, p < 0.0001) and former (M: 21.4%, F: 0.7%, p < 0.0001) drinking was much higher in males. The highest prevalence of drinking in males (58.9%) and females (2.2%) was in the 30 – 39 and <20 year age groups respectively. Lowest prevalence in men (24.6%) and women (0%) was in the >70 years age-group. Hazardous drinking was seen in 5.2% of men and 0.02% of women. Male sex, urban living and current smoking correlated with both current and hazardous drinking. Lower level of education, and age >70 years positively correlated with hazardous drinking.

Conclusions

Alcohol is predominantly a problem in Sri Lankan males. In males, both current and hazardous drinking positively correlated with urban living, white collar occupation, Burgher ethnicity and current smoking. Hazardous drinking positively correlated with lower level of education and older age. The data shown here are useful in planning interventions simultaneously targeting alcohol and tobacco.

Keywords

Alcohol Tobacco Smoking Prevalence Sri Lanka

Background

According to the World Health Organization (WHO) estimations; two billion people worldwide consume alcohol and 76.3 million are afflicted with diagnosable alcohol use disorders [1]. The WHO has attributed 3.7% of all deaths in all age groups to alcohol [2] (6.1% in men and 1.1% in women). Also excessive use of alcohol can lead to physical, psychological and social harm [27].

Sri Lanka is a middle income country with a population of 20 million people [8]. Historically the Sri Lankan villagers had consumed ‘;toddy’, a fermented beverage with low alcohol content for many centuries [9]. Toddy is produced using the sugary juice obtained by tapping the sap of coconut (Cocos nucifera), palmyrah (Borassus flabellifer) or ‘;Kitul’ (Caryota urens). The use of alcoholic spirits became popular after Sri Lanka was colonized by the Europeans: starting with the Portuguese in 1505, followed by the Dutch and the English. This trend continued since gaining independence in 1948 [5, 9]. The main licit alcoholic spirit is ‘;Arrack’, a distilled beverage produced from coconut or sugar cane. Many low income groups consume illicit spirits which are called ‘;Kasippu’ or ‘;Moonshine’. Recently, beer drinking has been gaining popularity especially among younger age groups [5].

According to the WHO Gender, Alcohol and Culture: An International Study (GENACIS) in 2002 (n = 1201), 53.1% of the men and 6.4% of women in Sri Lanka were current drinkers (those who had consumed alcoholic beverages during the past 12 months) [9]. Few other studies conducted in Sri Lanka have been of small sample sizes, confined to a limited geographical region or not published internationally [10]. According to these studies, the prevalence of alcohol use ranged between 37.7 – 52.5% in men and 1.6 – 5.0% in women [10]. In a study among teenagers, the prevalence of alcohol was reported as 21.2% in men and 3.3% in women [11]. A hospital based study in 1999 showed that 24% of male deaths were alcohol related [12]. Also the alcohol use has been shown to be a risk factor for suicide, accidental poisoning, snake bite and domestic violence in Sri Lanka [1316].

Sri Lanka is undergoing a rapid socio-demographic transition [17, 18]. A study conducted in two urban and rural districts in the country revealed that the prevalence of current drinking in the urban areas (32.9%) was significantly higher than in rural areas (20.8%) [19]. In literature, there is a paucity of large studies on the epidemiology of alcohol consumption in Sri Lanka, which is a drawback in planning and implementing strategies on alcohol related problems. We aimed to determine the prevalence, patterns and socio-economic correlates of current and hazardous alcohol use and their association with tobacco smoking among a larger sample of adults in Sri Lanka.

Methods

The Sri Lanka Diabetes and Cardiovascular Study (SLDCS) was conducted by the Diabetes Research Unit of the University of Colombo with the Oxford Centre for Diabetes Endocrinology and Metabolism UK, and was approved by the Ethical Review committee of the Faculty of Medicine - University of Colombo, Sri Lanka. All participants provided informed written consent. Data collection was between August 2005 and September 2006.

Study population and sampling

SLDCS was conducted, in seven of all nine provinces in Sri Lanka and included non-institutionalized adults aged 18 years and above (≥18 years). The sample was selected using a cross sectional multistage random cluster sampling method. The total sample frame was approximately 14 million adults, ≥18 years of age living in 12 018 ‘;Village Officer’ units (the smallest government administrative unit). A final sample size of 5000 was calculated after adjusting for an estimated non-response rate of 25%. Probability-proportional to-size (PPS) technique was used to determine the sample sizes for individual provinces and rural and urban sectors in each province. The total sample was recruited from 100 clusters, where clusters were selected by a computer-generated random number list from the ‘;Village Office Units’. Fifty households from each cluster were selected to ensure a wider representation of the population. Selected households were visited by the study team and simple random selection of participants was done after informed verbal consent. An eligible adult, aged ≥18 years was selected from all eligible adults of each consenting household. Those who were pregnant, acutely ill or who declined participation were excluded. Detailed method of sampling and data collection has been reported previously [20].

Data collection, terms and classifications

Temporary data collection centers were established within each cluster. The selected subjects were invited to visit the centers at a predetermined date and time. Privacy and confidentiality was strictly maintained during data collection. An interviewer administered questionnaire (Additional file 1) was used to collect data, administered by a trained group of medical graduates. The questionnaire was pre-tested to evaluate the face-validity and to ensure whether the subjects understood what the investigators intended to know. Information regarding socio-demographic factors, smoking status and alcohol intake was recorded. The participants were asked whether they have consumed at least ‘;one drink’ of any form of alcoholic beverage (‘;Arrack’, ‘;Kassippu’, Whisky, Gin, Brandy, beer, toddy, wine or other alcoholic beverages) at least once during their lifetime. If the answer was ‘;no’ they were considered as lifetime abstainers. If the answer was ‘;yes’, they were asked whether they had abstained from consuming alcohol for the last 6 months (prior to being selected to the present study). Those answered ‘;yes’ were considered as ‘;former drinkers’ and the others as ‘;current drinkers’. The quantity of alcohol used was recorded per week, using an annexure to the main questionnaire (Additional file 2) and a reference table (Additional file 3) carried by each interviewer. The amount of alcohol was recorded in units per week (1 unit = 8 g of alcohol) based on the average alcohol content of different alcoholic beverages; one drink (25–30 ml) of arrack/whisky, 50 ml of illicit alcohol [21], half a pint of beer/toddy and a small glass of wine (175 ml) were considered to be equivalent to a unit of alcohol (Additional file 3). Consuming ≥ 21 units of alcohol by a male and ≥ 14 units by a female during a week was considered as ‘;hazardous drinking’ [22, 23].

Participants were considered to be ‘;current smokers’, if they had been smoking any form of tobacco (cigarettes, bidi or cigars) either every day or on some days at the time of the study, within the preceding 6 months. Those who had successfully quit at least 6 months before the data collection were considered ‘;ex-smokers’ and those who have not smoked tobacco were considered ‘;never smokers’ [24].

Sinhalese are the predominant ethnic group in Sri Lanka, followed by the Sri Lankan Tamils (Descendants from South India over many centuries) and Sri Lankan Moor (descendants of Arab traders who are followers of Islam). Plantation Tamil (People arrived from South India during the last century for Tea and Rubber plantation) and Burgher (Descendants of Dutch settlers) are other minority groups.

Income levels were categorized based on monthly family income in Sri Lankan rupees (LKR). International Standard Classification of Occupation (ISCO 88) was used to categorize the occupation of the participants. Educational level was divided into three categories based on number of years of full time education (school or higher education). Urban and rural sectors were selected according to the categorization by the Sri Lankan Government.

Statistical analysis

All data were double-entered and cross checked for consistency. Data were analyzed using the survey commands in Stata/SE 10.0 (StataCorp LP., Texas, USA) software package taking into account the stratified cluster sampling [25]. Sampling weights were assigned to account for the differences in response at cluster and household levels as well as for gender specific response. Data on alcohol consumption are presented for age categories, gender, sector of residence, educational status, occupation and income level. Data are presented as percentages and 95% CI whenever appropriate. Chi-squared test was used to compare the prevalence between different socio-demographic categories. Multiple logistic regression analysis was performed to examine the association of underlying factors for current, hazardous, former and never drinking. Spearman correlation was used to determine associations between smoking and alcohol use. P values <0.05 were considered significant.

Results

Among the 5000 selected, 4532 participated in the study with a response rate of 91%. This report is based on 4491 participants with complete data. The mean age of the sample was 46.13 ± 15.1 years. Males were 40% (n = 1788) of the total sample and 17.7% of them were from the urban sector. In the study sample 85.4% were Sinhalese, 3.6% Sri Lankan Tamil, 3.8% Plantation Tamil, 6.9% Sri Lankan Moor and 0.3% were others. According to the 2001 census in Sri Lanka, urban population was 15% and the proportionate population sizes of Sinhalese (82%), Sri Lankan Tamils (4.3%), Plantation Tamils (5.1%), Sri Lankan Moor (7.9%) and others (0.7%) closely resembled the distribution in the sample [8].

Overall and ethnic specific alcohol use

Overall, 65.7% (95% CI, 63.5 – 67.8%) were lifetime abstainers (Male: 30.4%, 95% CI 26.8 – 34.0%; Female: 98.1%, 95% CI 97.3 – 98.9%, p < 0.0001). The total prevalence of current and former alcohol use was 23.7% (95% CI, 21.7 – 25.7%) and 10.6% (95% CI 9.4 – 11.9%) respectively (Table 1). The prevalence of current drinking in males was much higher than females (M: 48.1%, 95% CI, 44.3 – 52.0%; F: 1.2%, 95% CI 0.6 – 1.8%, p < 0.0001). Among the different ethnic groups, in males; Sri Lankan Tamils had the highest prevalence of current drinking (67.1%, 95% CI 52.6 – 81.6%) and the Sri Lankan Moors had the lowest (7.3%, 95% CI 1.3 – 13.4%) (Table 2). In males ethnic specific differences in current (p <0.0001) and former dinking (p <0.05) were significant; whereas in females it was not. The highest prevalence of female drinking was seen among the Burgher women (30.8%) whilst none of the Sri Lankan Moor women had self-reported drinking.
Table 1

Alcohol consumption in urban and rural adults (Sri Lanka, 2005 – 2006)

Sector

Category

number

Current drinking %, (95% CI)

Former drinking %, (95% CI)

Urban

Male

312

57.6 (51.2-63.9)

16.0 (10.9-21.2)

Female

487

2.9 (1.1-4.8)

1.6 (0.5-2.8)

All

799

29.5 (25.7-33.3)

8.6 (5.9-11.3)

Rural

Male

1466

45.7 (41.1-50.3)

22.9 (20.1-25.6)

Female

2226

0.7 (0.1-1.4)

0.4 (0.1-0.8)

All

3692

22.2 (19.8-24.7)

11.2 (9.8-12.6)

Overall

Male

1778

48.1 (44.3-51.9)

21.4 (19.1-23.8)

Female

2713

1.2 (0.6-1.8)

0.7 (0.3-1.0)

All

4491

23.7 (21.7-25.7)

10.6 (9.4-11.9)

Data are % (95% CI), Confidence interval (CI).

Table 2

Alcohol consumption among adults by the age, sex and ethnicity (Sri Lanka 2005 – 2006)

  

Male

Female

 

Total (n)

Current (%)

Former (%)

Total (n)

Current (%)

Former (%)

Age group (years)

<20

53

34.6 (18.2-51.0)

14.2 (4.8-23.5)

45

2.2 (0.2-6.7)

0.0 (0.0-0.0)

20 – 29

260

48.0 (40.9-55.0)

18.9 (13.9-23.8)

384

1.3 (0.4-2.9)

0.8 (0.1-1.7)

30 – 39

335

58.9 (52.6-65.3)

17.1 (12.8-21.4)

553

1.8 (0.5-3.1)

0.6 (0.1-1.2)

40 – 49

418

50.3 (44.0-56.6)

18.5 (14.0-22.9)

674

2.0 (0.5-3.6)

0.4 (0.1-0.8)

50 – 59

350

52.4 (45.7-59.0)

15.9 (12.0-19.8)

547

0.2 (0.1-0.6)

0.7 (0.2-1.6)

60 – 69

212

38.2 (30.9-45.6)

35.6 (28.3-42.8)

326

0.7 (0.6-2.0)

1.3 (0.2-2.4)

≥ 70

150

24.6 (15.5-33.6)

42.5 (32.7-52.2)

184

0.0 (0.0-0.0)

0.5 (0.5-1.4)

 

All

1778

*p <0.0001

*p <0.0001

2713

*p < 0.005

*p < NS

Ethnicity

Sinhalese

1524

49.4 (46.2-52.7)

22.6 (20.1-25.1)

2356

1.1 (0.6-1.7)

0.7 (0.3-1.0)

Sri Lankan Tamil

59

67.1 (52.6-81.6)

8.7 (2.4-15.0)

77

1.8 (0.1-5.4)

0.0 (0.0-0.0)

Plantation Tamil

76

65.6 (53.3-77.9)

13.4 (6.3-20.4)

88

2.5 (0.1-6.7)

2.2 (0.1-4.4)

Burgher

3

64.0 (0.1-129.9)

0.0 (0.0-0.0)

8

30.8 (5.5-56.1)

11.2 (0.4-22.0)

Sri Lankan Moor

116

7.3 (1.3-13.4)

20.1 (11.0-29.1)

184

0.0 (0.0-0.0)

0.0 (0.0-0.0)

 

All

1778

+p < 0.0001

+p < 0.05

2713

+p = NS

+p = NS

*p values for age specific differences in current drinking and former drinking in males and females.

+p values for ethnic specific differences in current drinking and former drinking in males and females.

Data are % (95% CI), Current-current drinkers, Former-past drinkers, Confidence interval (CI), Not Significant (NS), Number of participants (n).

Age and sector specific alcohol consumption

In males, the highest prevalence of current drinking (58.9%) was in the 30 – 39 year age group while those more than 70 years had the lowest, with the prevalence declining after 60 years of age (Table 2). In women, the highest prevalence of current drinking was in the youngest age group (2.2%) and the lowest (zero prevalence) was in the oldest. In both males and females age specific differences in current dinking was significant (Male p <0.0001, Female p < 0.005), whereas age specific differences in former drinking was significant only among males (p <0.0001). In men, highest prevalence of former drinking was seen in >70 years age group, whereas in women it was 60–69 years. Overall, the urban sector had higher prevalence of current drinking compared to rural (urban 29.5%, 95% CI 25.7 – 33.3%, rural 22.2%, 95% CI 19.8 – 24.7%, p < 0.0013) (Table 1). The higher current drinking in the urban population was similarly present in both males (urban 57.6% vs. rural 45.7%, p < 0.0001) and females (urban 2.9% vs. rural 0.7%, p < 0.0001). In contrast, the overall (p = 0.1310) and the male (p = 0.041) prevalence of former alcohol use was higher in the rural sector compared to urban.

Severity and hazardous drinking

Among the current drinkers in this study, 80% consumed less than 7 units of alcohol per week (18.8% of the total sample). Only one woman reported consuming more than 7 units per week in the whole sample. Among drinking men, 79% consumed less than 7 units per week. However, the second highest prevalence was seen in the >21 units category. Both overall and males drinking at intermediate levels were less than these two categories. In this sample, the prevalence of overall, male and female hazardous drinking were 2.5% (95% CI, 1.9 – 3.1%), 5.2% (95% CI 3.9 – 6.4%) and 0.02% (95% CI 0.018 – 0.055%) respectively (Table 3). There were no differences in the prevalence of hazardous drinking in urban and rural sectors (Urban: 2.7% versus Rural: 2.4%, p = 0.718).
Table 3

Amount of alcohol consumption among adults (Sri Lanka, 2005 – 2006)

Sector

Category

Number

Number of units of alcohol per day

< 7

7 – 13

14 - 20

≥21

Urban

Male

312

46.2 (40.6-51.8)

4.1 (1.6-6.5)

1.9 (0.5-3.2)

5.4 (2.7-8.2)

Female

487

2.8 (1.1-4.6)

0.0 (0.0-0.0)

0.0 (0.0-0.0)

0.1 (0.01-0.3)

All

799

23.9 (20.5-27.3)

2.0 (0.8-3.2)

0.9 (0.2-1.6)

2.7 (1.3-4.1)

Rural

Male

1466

35.8 (32.0-39.5)

2.3 (1.4-3.2)

2.6 (1.6-3.6)

5.1 (3.6-6.5)

Female

2226

0.7 (0.1-1.4)

0.0 (0.0-0.0)

0.0 (0.0-0.0)

0.0 (0.0-0.0)

All

3692

17.5 (15.5-19.5)

1.1 (0.7-1.5)

1.2 (0.7-1.7)

2.4 (1.8-3.1)

Overall

Male

1778

37.9 (34.8-41.0)

2.6 (1.8-3.5)

2.4 (1.6-3.3)

5.2 (3.9-6.4)

Female

2713

1.2 (0.6-1.8)

0.0 (0.0-0.0)

0.0 (0.0-0.0)

0.02 (0.01-0.05)

All

4491

18.8 (17.1-20.5)

1.3 (0.9-1.7)

1.2 (0.8-1.6)

2.5(1.9-3.1)

Data are % (95% CI), Confidence interval (CI).

Associations of current and hazardous drinking with the level of education, income and occupation

In men, the highest levels of current drinking were seen in the group with middle level of education; (50.7%) (Table 4). In contrast, the highest prevalence of current drinking in women (2.6%) was seen in the group with the highest education. When comparing occupational categories in both men and women, the highest prevalence of current drinking was seen among ‘;senior officials and managers’. In men, the lowest prevalence was in the ‘;unemployed’ (36.1%) and in women zero prevalence was seen in those from ‘;armed forces’, the ‘;plant and mechanic operators/assemblers’ and ‘;skilled agricultural and fisheries workers’. In both sexes, the highest income group had the highest prevalence of current drinking.
Table 4

Prevalence of current and hazardous alcohol consumption by the level of education, occupation and income

 

Educational and occupational category

Male

Female

 

N

Current (%)

Hazardous (%)

N

Current (%)

Hazardous (%)

Education

≤ 5 years

363

43.4 (36.1-50.7)

8.5 (4.9-12.1)

709

0.7 (0.1-1.4)

0.0 (0.0-0.0)

6 – 11 years

1094

50.7 (46.1-55.3)

5.3 (3.8-6.8)

1575

1.1 (0.4-1.8)

0.0 (0.0-0.0)

≥ 12 years

320

45.0 (37.7-52.4)

1.1 (0.0-2.2)

427

2.6 (1.0-4.2)

0.0 (0.0-0.0)

Occupation

Senior officials and managers

10

79.8 (59.5-100.0)

11.1 (0.3-32.0)

7

41.3 (12.7-69.9)

0.0 (0.0-0.0)

Professionals

51

41.1 (23.3-59.0)

0.0 (0.0-0.0)

57

2.5 (0.2-6.2)

0.0 (0.0-0.0)

Technical and associated professionals

76

69.0 (57.0-81.0)

4.5 (0.2-9.1)

18

4.8 (0.3-14.3)

0.0 (0.0-0.0)

Clerks

28

54.8 (33.4-76.3)

0.0 (0.0-0.0)

42

1.6 (-1.5-4.6)

0.0 (0.0-0.0)

Sale and service workers

223

52.0 (42.0-62.0)

3.9 (1.3-6.4)

78

4.3 (-1.0-9.6)

0.0 (0.0-0.0)

Skilled agricultural and fishery workers

225

37.2 (27.9-46.5)

4.7 (2.3-7.1)

86

0.0 (0.0-0.0)

0.0 (0.0-0.0)

Craft and related workers

59

41.1 (27.9-54.4)

6.3 (0.2-12.3)

48

5.6 (1.0-13.7)

0.0 (0.0-0.0)

Plant and mechanic operators and assemblers

100

64.6 (53.9-75.4)

6.1 (1.9-10.4)

13

0.0 (0.0-0.0)

0.0 (0.0-0.0)

Elementary occupations

480

56.8 (50.3-63.4)

7.3 (4.2-10.5)

364

1.6 (0.3-3.4)

0.1 (0.01-0.4)

Armed Forces

11

56.7 (24.8-88.5)

0.0 (0.0-0.0)

3

0.0 (0.0-0.0)

0.0 (0.0-0.0)

No regular employment or unemployed

514

36.1 (31.0-41.3)

4.5 (2.3-6.3)

1997

0.7 (0.3-1.1)

0.0 (0.0-0.0)

Income category (LKR 000)

< 7.0

866

43.2 (37.3-49.1)

5.6 (3.6-7.6)

1645

0.3 (0.1-0.7)

0.0 (0.0-0.0)

7.0 – 13.0

465

51.6 (45.8-57.4)

5.7 (3.5-7.8)

590

1.4 (0.1-2.6)

0.0 (0.0-0.0)

13.1 – 25.0

301

54.6 (48.4-60.9)

3.9 (1.4-6.3)

342

2.1 (0.7-3.5)

0.2 (0.01-0.5)

25.1 – 50.0

105

56.9 (46.3-67.5)

3.5 (0.2-7.2)

103

9.0 (1.2-16.9)

0.0 (0.0-0.0)

>50.0

24

60.2 (34.8-85.6)

5.7 (0.5-16.9)

26

17.2 (0.5-34.0)

0.0 (0.0-0.0)

Data are % (95% CI) and were available on education, occupation and income for 4488, 4490 and 4467 subjects respectively.

Number of participants (N).

Hazardous drinking was very low in women. In men, the pattern of hazardous drinking was different to the pattern of current drinking among different levels of education. The group with the lowest level of education among males had the highest prevalence (8.5%) of hazardous drinking. Male ‘;senior managers and officials’ had the highest levels of hazardous drinking (11.1%) followed by the ‘;elementary occupations’ (7.3%). There were no participants with hazardous drinking among male ‘;professionals’ and only a few from ‘;armed forces’. Among the income categories; in males, higher prevalence of hazardous alcohol consumption was seen both in lower and higher income groups with the middle income groups having a lower prevalence.

Smoking and alcohol use

Among the current smokers 70.1% were also drinking alcohol with 9.8% drinking at hazardous levels (Table 5). Among the ex-smokers, 41.8% had also given up drinking, 38.4% continued drinking with 4.7% at hazardous levels. Among those who had never smoked, 85.9% had been lifetime abstainers of alcohol, 9.8% were current drinkers and 0.3% were drinking at hazardous levels. Current smoking strongly and significantly correlated with both current drinking (Spearman r = 0.55, p < 0.0001) and hazardous drinking (Spearman r = 0.25, p < 0.0001).
Table 5

Cross-tabulation of drinking status and smoking in Sri Lankan adults

  

Drinking

  

Never

Former

Current - NH

Current - H

p value*

Smoking

Never*

85.9%

4.3%

9.5%

0.3%

<0.0001

Former*

19.8%

41.8%

33.7%

4.7%

<0.0001

 

Current*

11.8%

18.1%

60.3%

9.8%

<0.0001

Never – lifetime abstainers, Former – past drinkers and smokers, Non-Hazardous (NH), Hazardous (H).

*p value for trend.

Multiple logistic regression analysis in males

Since the number of female drinkers was very low, results of multiple logistic regression analysis are presented with adjusted odds ratios (OR) only for males. Current drinking was strongly associated with middle level of education (OR) 1.4 (95% CI 0.9-1.8) and high monthly income (OR) 2.2 (95% CI 0.8-5.9) (Table 6). Hazardous drinking was strongly associated with lower level of education (OR) 3.2 (95% CI 1.3-7.7). Current drinking (CD) and hazardous drinking (HD) together were positively associated with urban living (OR) 1.5(CD)/1.3(HD), Burgher ethnicity (OR) 2.3(CD)/7.8(HD) and current smoking (OR) 5.6(CD)/4.8(HD). Lifetime abstinence (Never drinker) was negatively associated with smoking (OR) 0.2 (95% CI 0.1-0.3), lower level of education (OR) 0.6 (95% CI 0.3-0.9) and urban living (OR) 0.7 (95% CI 0.5-0.9).
Table 6

Results of multiple logistic regression analysis for correlates of never, former, current and hazardous drinking in males

 

Total (n)

Never drinker

Former drinker

Current drinker

Hazardous drinker

  

OR

95% CI for OR

OR

95% CI for OR

OR

95% CI for OR

OR

95% CI for OR

Sector of residence

         

Rural

1448

1

 

1

 

1

 

1

 

Urban

304

0.7

0.5-0.9

0.9

0.7-1.3

1.5

1.1-2.0

1.3

0.8-2.2

Ethnicity

         

Sinhalese

1502

1

 

1

 

1

 

1

 

Sri Lankan Tamil

58

1.5

0.8-2.8

0.3

0.1-0.9

1.3

0.7-2.4

0.3

0.07-1.4

Plantation Tamil

76

0.8

0.4-1.4

0.6

0.3-1.2

1.7

1.0-3.0

2.0

0.9-4.2

Muslim

113

12.7

1.7-21.0

0.9

0.5-1.4

0.04

0.02-0.09

0.0

0.0-0.0

Burgher

3

2.0

0.1-25.6

0.0

0.0-0.0

2.3

0.2-31.1

7.8

0.6-101.7

Level of education

         

Less than 5 years

360

0.6

0.3-0.9

1.5

0.9-2.5

1.2

0.7-1.6

3.2

1.3-7.7

6 to 11 years

1085

0.6

0.4-0.8

1.2

0.8-1.8

1.4

0.9-1.8

2.4

1.1-5.2

≥ 12 years

307

1

 

1

 

1

 

1

 

Occupation

         

Senior officials and Managers

10

1.3

0.3-6.0

0.0

0.0-0.0

2.8

0.3-8.0

2.6

0.2-16.0

Professionals

49

1.0

0.5-1.9

0.9

0.4-2.0

1.2

0.6-2.3

0.0

0.0-0.0

Technical and Associated Professionals

75

0.6

0.3-1.2

0.4

0.1-0.9

2.6

1.4-4.7

1.4

0.5-4.2

Clerks

28

0.3

0.1-1.0

1.0

0.3-2.6

2.4

1.0-5.8

1.0

0.2-5.8

Sale and Service Workers

221

0.8

0.5-1.2

0.7

0.4-1.1

1.6

1.0-2.3

1.1

0.5-2.2

Skilled Agricultural and Fishery Workers

225

0.9

0.6-1.3

1.5

1.1-2.2

0.7

0.5-1.1

1.1

0.5-2.1

Craft and Related Workers

59

1.6

0.8-3.1

1.2

0.6-2.2

0.6

0.3-1.1

1.4

0.6-3.9

Plant and Mechanic Operators and Assemblers

100

0.7

0.4-1.3

0.6

0.3-1.2

1.8

1.0-3.1

1.1

0.4-2.6

Elementary Occupations

477

1.0

0.7-1.3

0.7

0.5-1.0

1.4

1.0-2.0

1.5

0.6-2.9

Armed Forces

11

1.4

0.3-5.9

1.0

0.2-4.8

0.8

0.2-3.1

0.0

0.0-0.0

No regular employment or unemployed

497

1

 

1

 

1

 

1

 

Age category

         

18-29 years

306

1

 

1

 

1

 

1

 

30-39 years

329

0.4

0.3-0.6

0.9

0.6-1.5

2.1

1.5-3.1

2.2

0.9-.5.2

40-49 years

409

0.6

0.4-0.8

0.9

0.6-1.4

1.7

1.2-2.4

4.0

1.8-8.8

50-59 years

347

0.6

0.4-0.8

0.8

0.6-1.3

1.9

1.3-2.8

5.0

2.2-11.3

60-69 years

210

0.5

0.3-0.7

1.9

1.3-3.0

1.0

0.7-1.6

3.7

1.5-9.2

≥70 years

149

0.5

0.3-0.9

2.1

1.3-3.4

0.8

0.5-1.4

5.4

1.9-15.3

Current Smoker

         

Yes

682

0.2

0.1-0.3

0.7

0.5-0.8

5.6

4.4-7.1

4.8

3.1-7.2

No

1070

1

 

1

 

1

 

1

 

Monthly income (LKR 000)

         

<7

861

1

 

1

 

1

 

1

 

7.1-13.0

463

0.8

0.6-1.0

1.0

0.7-1.3

1.3

1.0-1.7

1.6

1.1-2.6

13.1-25.0

300

0.7

0.5-1.0

0.9

0.6-1.3

1.5

1.1-2.1

1.3

0.7-2.6

25.1-50.0

104

0.8

0.5-1.4

0.6

0.3-1.1

1.7

1.0-2.9

2.6

1.1-6.2

> 50.0

24

1

0.4-2.6

0.2

0.02-1.4

2.2

0.8-5.9

1.8

0.3-9.8

OR - Odds ratio, LKR – Sri Lankan Rupees.

Discussion

The current alcohol use among males and females was 48.1% and 1.2% respectively. According to this study 65.7% were lifetime abstainers. A similar large study, conducted by the WHO for the World Health Survey (WHS -2003) in 2003 reported prevalence of 83.4%, 32.5% and 1.8% for overall abstinence, male current drinking and female current drinking respectively [10]. Therefore, our study carried out five years later shows an overall increase of alcohol use especially among males. However, the WHO GENACIS study conducted in 2002 – 2003 with a smaller sample size (n = 1201) showed a higher prevalence of current drinking both in men (53.1%) and women (6.4%) [9]. We recruited those who have abstained from drinking within the preceding six months as former drinkers. In other studies this was usually one year. This can underestimate the prevalence of current drinking in our study. The pattern of ethnic specific drinking in our study is similar to the data of the WHO GENACIS study.

According to the WHS -2003, the overall, male and female lifetime abstinence in India was 89.6%, 80.2% and 98.4% respectively [1]. Another large study in India among those above 10 years of age in 2005 reported male and female current drinking prevalences as 7.9% and 1.0% respectively. Compared with Sri Lanka, in Bangladesh which is a predominantly a Muslim country in South Asia, higher prevalence of lifetime abstinence were reported both for men (87.4%) and women (99.7%) (WHS -2003). In sharp contrast to the Sri Lankan data, the developed countries have much higher prevalence of alcohol use both in men and women; North America (Male 73%, Female 58%), Europe (Male 90%, Female 81%) and Western Pacific (Male 87%, Female 77%) [26]. The prevalence of alcohol use is lower than the Sri Lankan figures in predominantly Muslim countries in the Middle Eastern region (Iran and Saudi Arabia: Male 18%, Female 4%; Pakistan and Afghanistan: Male 17%, Female 1%) [26]. In a recent study from urban China, the prevalence of current drinking has been reported as 68% [27]. The above comparisons made with local and international data were done to identify a general trend and are interpreted with caution as the definitions used for drinking and populations studied, varied among these studies.

Our study showed that the middle aged males and young females have higher frequencies of drinking. The age specific alcohol consumption among males in our study is similar to the WHO GENACIS study conducted in Sri Lanka in 2002 and many other regional studies [9, 2830]. However, the higher prevalence of alcohol use among the young women in our study differs from the WHO GENACIS study and other regional studies [9, 28, 30] except for one study from Hong Kong [29].

According to our data, the majority of Sri Lankan adults; 79% of men and almost all women who consume alcohol drink less than 7 units per week on average. These data are similar to the previous findings from the WHO GENACIS study [9]. Among men 37.9% drink < 7, 2.6% between 7 – 14, 2.4% between 14 – 21 and 5.2% drink > 21 units of alcohol per week. The fact that there was no gradual decline in the frequency between the different categories of severity but a jump from the lowest to the highest would demonstrate the difficulty of maintaining drinking within non-hazardous/safe limits (male <21 and female <14) except for very light drinking due to the addictive properties of alcohol. Similar to our data, a low prevalence of hazardous drinking has been reported from a study from Hong Kong [29]. In contrast, much higher levels of hazardous drinking have been reported from the UK (31% of men and 20% of women consumed more than 21 units and 14 units of alcohol respectively) [31]. In the Australian workforce risky drinking (14–42 units per week) was seen in 7.4% of males and high risk drinking (>42 drinks per week) in 3.3% [32].

In the present study the highest prevalence of drinking in males was seen in those with medium level of education. In women, the highest current drinking was in those with the highest level of education. In contrast the hazardous drinking in males was highest in those with the lowest level of education. Our data for current drinking and education in males compares with the previous data from the WHO GENACIS study but was different in women in whom the highest prevalence of drinking was in those with middle level of education [9]. Similar data on the association of hazardous drinking and lower levels of education has been reported in many previous studies both from Asia and outside [28, 29, 32, 33].

Among the different income groups, current drinking was higher in those with higher levels of income both in men and women. In contrast among males, hazardous drinking was equally high in both the higher and lower income groups with middle income groups having the lower prevalence. This has not been described in the previous studies on alcohol in Sri Lanka but similar pattern has been described both for current drinking and high risk drinking among the Australians [32]. In contrast to our data, higher prevalence of current drinking was reported in the low income groups in India [28]. Among the occupation groups both in men and women senior officials and managers had the highest prevalence of current drinking. Men in the same category had the highest prevalence of hazardous drinking followed by those engaged in elementary occupations and blue collar occupations. Hazardous drinking was very low among male professionals, clerks and the small number of participants from the armed forces. The higher prevalence of drinking in senior officials and managers and lower prevalence of hazardous drinking in those in the armed forces may partly be due to the bias created by the small number in these categories. In the study among the Australian work force higher prevalence of hazardous drinking was reported in the blue collar workers and white collar workers compared to professionals [32].

The current smoking prevalence is 38.0% among males and 0.1% among females older than 18 years in Sri Lanka [24]. Our study shows a strong association of smoking with both current drinking and hazardous drinking among Sri Lankan males. A significantly high proportion of quitters have given up drinking. Combined interventions for prevention of both smoking and alcohol use may have added benefits in this population. This has not been examined in the previously published studies from Sri Lanka but has been shown in studies from other countries [29, 34, 35].

The main strength of this study is the recruitment of a representative sample via cluster sampling with good response rate (91%). There are several limitations. Due to the prevailed war situation in the North and the East, the data on Sri Lankan Tamil and Moor ethnicities living on the other parts of the country may not represent the real picture on those ethnic groups. Comparisons and conclusions on certain ethnicities and occupations could have been affected due to the effect of small sample size. We classified those who have been drinking within the preceding six months as current drinkers. In other studies this was usually one year. This can underestimate the prevalence of current drinking compared to other studies. Alcohol is a social taboo especially among women in Sri Lanka. Therefore, there is a possibility of under reporting of current drinking among women although we used experienced and trained interviewers. Anecdotally there are small isolated pockets of high prevalence of female drinking in the North Western province in Sri Lanka. These pockets were not selected in the random selection process in our study. However since this is a very minor proportion of the overall Sri Lankan population, the effect on the overall results would be minimal. The alcohol content in illicit beverages is not standardized and, this may affect the accuracy of the calculation of units. Unavailability of drinking status of the 9% non-responders, recording only the total units of alcohol without the types of alcoholic drink and the drinking frequencies during data collection were among the other limitations.

The findings shown in this study have several implications in the management and prevention of alcohol use among adults in Sri Lanka. Nearly 50% of the males are current drinkers. This is unacceptably high in a predominantly Asian Buddhist culture which discourages use of alcohol according to the religion and cultural norms. The high prevalence of drinking in the higher social strata (higher education, income and occupational groups) both among men and women shows increasingly high acceptance of drinking even among women. These patterns can set unacceptable examples among wider community in Sri Lanka. Although highly educated people tend to avoid hazardous drinking, higher percentages of them continue to be current drinkers. In contrast higher percentages of poor and less educated indulged in hazardous drinking although the overall prevalence of alcohol consumption was lower than the highly educated. We feel that this can trigger a vicious cycle of increasing poverty, violence, fragmentation of families and other harmful consequences of alcohol abuse in the poor and less educated segments in the society compared to the educated. All highly educated were not rich, as income levels do not always increase with the level of education in Sri Lanka (professionals work in the government sector). This explains why hazardous and current drinking was evenly spread over all income categories. Multiple factors may have contributed to higher current drinking in the urban educated groups. They have a higher disposable income, more opportunities for consumption in terms of social gatherings, and also use alcohol as a means of socializing during business meetings.

The associations between smoking and drinking indicate that those who continue one habit continues the other and those who give up tend to give up both. This phenomenon needs to be taken into consideration in future preventive programmes on smoking and drinking cessation and prevention.

Conclusions

In summary, this study has presented new data on alcohol consumption epidemiology for Sri Lankan adults with insights to preventive action. There has been a change in the patterns of alcohol use in women with the prevalence being higher in the younger, more educated and affluent women compared to the previous studies. Nearly half of the adult males consume alcohol in Sri Lanka. Future action on prevention and control of alcohol use needs to focus on these new data and the risk factors for drinking in the Sri Lankan population. Effective interventions to prevent the rising prevalence of drinking in males and in educated high income women, will most likely help avert an epidemic of drinking in Sri Lanka.

Abbreviations

WHO: 

World Health Organisation

GENACIS: 

Gender, Alcohol and Culture: An International Study

SLDCS: 

Sri Lanka Diabetes and Cardiovascular Study

LKR: 

Sri Lankan Rupees

ISCO: 

International Standard Classification of Occupation

USA: 

Untied States of America

UK: 

United Kingdom.

Declarations

Acknowledgements

National Science Foundation of Sri Lanka was the main source of funding for this study. The additional support provided from the Oxford Centre for Diabetes Endocrinology and Metabolism UK, and the NIHR Biomedical Research Centre Programme is gratefully acknowledged. Professor Diyanath Samarasinghe is acknowledged for the useful feedback on the manuscript. The authors thank all individuals and institutions who helped and worked for the Sri Lanka Diabetes and Cardiovascular Diseases Study. (http://www.ocdem.com/index.php?option=com_content&task=view&id=254).

Authors’ Affiliations

(1)
Faculty of Medicine, University of Colombo
(2)
Oxford Centre for Diabetes Endocrinology & Metabolism, Churchill Hospital

References

  1. World Health Organization. Substance Abuse Dept: Global status report on alcohol 2004. 2004, Geneva: World Health Organization, http://www.who.int/substance_abuse/publications/global_status_report_2004_overview.pdf,Google Scholar
  2. WHO expert committee on problems related to alcohol consumption. Second report. World Health Organ Tech Rep Ser. 2007, 1-53. 55–57, back cover, 944
  3. World Health Organization: Alcohol use and sexual risk behaviour: a cross-cultural study in eight countries. 2005, Geneva: World Health OrganizationGoogle Scholar
  4. Wells S, Thompson JM, Cherpitel C, Macdonald S, Marais S, Borges G: Gender differences in the relationship between alcohol and violent injury: an analysis of cross-national emergency department data. J Stud Alcohol Drugs. 2007, 68 (6): 824-833.View ArticlePubMedGoogle Scholar
  5. Samarasinghe D: Sri Lanka: alcohol now and then. Addiction. 2006, 101 (5): 626-628.View ArticlePubMedGoogle Scholar
  6. Rehm J, Gmel G, Sempos CT, Trevisan M: Alcohol-related morbidity and mortality. Alcohol Res Health. 2003, 27 (1): 39-51.PubMedGoogle Scholar
  7. D'Costa G, Nazareth I, Naik D, Vaidya R, Levy G, Patel V, King M: Harmful alcohol use in Goa, India, and its associations with violence: a study in primary care. Alcohol Alcohol. 2007, 42 (2): 131-137.View ArticlePubMedGoogle Scholar
  8. Department of Census and Statistics in Sri Lanka: Population Characteristics. Census of population and Housing 2001. 2001, ColomboGoogle Scholar
  9. Hettige S, Paranagama D: Gender, alcohol and culture in Sri Lanka. Alcohol, gender, and drinking problems: perspectives from low and middle income countries. Edited by: Obot IS, Room R. 2005, Geneva: World Health Organization, Department of Mental Health and Substance Abuse, 167-189.Google Scholar
  10. World Health Organization. Substance Abuse Dept: Country Profiles: South-East Region:Sri Lanka. Global status report on alcohol 2004. 2004, Geneva: World Health Organization, [http://www.who.int/substance_abuse/publications/en/sri_lanka.pdf?ua=1]Google Scholar
  11. Perera B, Torabi MR: Preliminary study of smoking and alcohol use among students in southern Sri Lanka. Psychol Rep. 2004, 94 (3 Pt 1): 856-858.View ArticlePubMedGoogle Scholar
  12. Dissanayake P, Navaratne NM: 24% of male deaths alcohol related. Ceylon Med J. 1999, 44 (1): 40-PubMedGoogle Scholar
  13. Samaraweera S, Sumathipala A, Siribaddana S, Sivayogan S, Bhugra D: Completed suicide among Sinhalese in Sri Lanka: a psychological autopsy study. Suicide Life Threat Behav. 2008, 38 (2): 221-228.View ArticlePubMedGoogle Scholar
  14. Whitehall JS, Yarlini , Arunthathy , Varan , Kaanthan , Isaivanan , Vanprasath : Snake bites in north east Sri Lanka. Rural Remote Health. 2007, 7 (4): 751-PubMedGoogle Scholar
  15. van der Hoek W, Konradsen F: Risk factors for acute pesticide poisoning in Sri Lanka. Trop Med Int Health. 2005, 10 (6): 589-596.View ArticlePubMedGoogle Scholar
  16. Subramaniam P, Sivayogan S: The prevalence and pattern of wife beating in the Trincomalee district in eastern Sri Lanka. Southeast Asian J Trop Med Public Health. 2001, 32 (1): 186-195.PubMedGoogle Scholar
  17. Jayasekara RS, Schultz T: Health status, trends, and issues in Sri Lanka. Nurs Health Sci. 2007, 9 (3): 228-233.View ArticlePubMedGoogle Scholar
  18. WHO country cooperation strategy. 2006, http://www.who.int/countryfocus/cooperation_strategy/ccsbrief_lka_en.pdf, –2011 Sri Lanka,
  19. de Silva V, Samarasinghe D, Gunawardena N: Alcohol and tobacco use among males in two districts in Sri Lanka. Ceylon Med J. 2009, 54 (4): 119-124.View ArticlePubMedGoogle Scholar
  20. Katulanda P, Constantine GR, Mahesh JG, Sheriff R, Seneviratne RD, Wijeratne S, Wijesuriya M, McCarthy MI, Adler AI, Matthews DR: Prevalence and projections of diabetes and pre-diabetes in adults in Sri Lanka–Sri Lanka Diabetes, Cardiovascular Study (SLDCS). Diabet Med. 2008, 25 (9): 1062-1069.View ArticlePubMedGoogle Scholar
  21. Ferdinandis TG, De Silva HJ: Illicit alcohol consumption and neuropathy–a preliminary study in Sri Lanka. Alcohol Alcohol. 2008, 43 (2): 171-173.View ArticlePubMedGoogle Scholar
  22. Ashworth M, Gerada C: ABC of mental health. Addiction and dependence–II: Alcohol. BMJ. 1997, 315 (7104): 358-360.View ArticlePubMedPubMed CentralGoogle Scholar
  23. Reid MC, Fiellin DA, O'Connor PG: Hazardous and harmful alcohol consumption in primary care. Arch Intern Med. 1999, 159 (15): 1681-1689.View ArticlePubMedGoogle Scholar
  24. Katulanda P, Wickramasinghe K, Mahesh JG, Rathnapala A, Constantine GR, Sheriff R, Matthews DR, Fernando SS: Prevalence and correlates of tobacco smoking in Sri Lanka. Asia Pac J Public Health. 2011, 23 (6): 861-869.View ArticlePubMedGoogle Scholar
  25. StataCorp: Stata statistical software: Release 10. 2007, College Station, Tex: StataCorp LPGoogle Scholar
  26. Rehm J, Rehn N, Room R, Monteiro M, Gmel G, Jernigan D, Frick U: The global distribution of average volume of alcohol consumption and patterns of drinking. Eur Addict Res. 2003, 9 (4): 147-156.View ArticlePubMedGoogle Scholar
  27. Jiafang Z, Jiachun W, Yunxia L, Xiaoxia Q, Ya F: Alcohol abuse in a metropolitan city in China: a study of the prevalence and risk factors. Addiction. 2004, 99 (9): 1103-1110.View ArticlePubMedGoogle Scholar
  28. Neufeld KJ, Peters DH, Rani M, Bonu S, Brooner RK: Regular use of alcohol and tobacco in India and its association with age, gender, and poverty. Drug Alcohol Depend. 2005, 77 (3): 283-291.View ArticlePubMedGoogle Scholar
  29. Janghorbani M, Ho SY, Lam TH, Janus ED: Prevalence and correlates of alcohol use: a population-based study in Hong Kong. Addiction. 2003, 98 (2): 215-224.View ArticlePubMedGoogle Scholar
  30. Hao W, Su Z, Liu B, Zhang K, Yang H, Chen S, Biao M, Cui C: Drinking and drinking patterns and health status in the general population of five areas of China. Alcohol Alcohol. 2004, 39 (1): 43-52.View ArticlePubMedGoogle Scholar
  31. The NHS Information Centre, Lifestyles Statistics: Statistics on alcohol: England 2008. 2008, EnglandGoogle Scholar
  32. Berry JG, Pidd K, Roche AM, Harrison JE: Prevalence and patterns of alcohol use in the Australian workforce: findings from the 2001 National Drug Strategy Household Survey. Addiction. 2007, 102 (9): 1399-1410.View ArticlePubMedGoogle Scholar
  33. Chagas Silva M, Gaunekar G, Patel V, Kukalekar DS, Fernandes J: The prevalence and correlates of hazardous drinking in industrial workers: a study from Goa. India. Alcohol Alcohol. 2003, 38 (1): 79-83.View ArticlePubMedGoogle Scholar
  34. Hermand D, Mullet E, Coutelle B: Perception of the combined effect of smoking and alcohol on health. J Soc Psychol. 1995, 135 (2): 167-174.View ArticlePubMedGoogle Scholar
  35. Gordon T, Doyle JT: Alcohol consumption and its relationship to smoking, weight, blood pressure, and blood lipids. The Albany Study. Arch Intern Med. 1986, 146 (2): 262-265.View ArticlePubMedGoogle Scholar
  36. Pre-publication history

    1. The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/14/612/prepub

Copyright

© Katulanda et al.; licensee BioMed Central Ltd. 2014

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 credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement