Current smoking prevalence in Thailand decreased from 1991 to 2004 and since that time the prevalence has remained flat. It has been suggested that one of the reasons that the prevalence of current smoking in Thailand has stopped decreasing is due to the use of RYO cigarettes. The aim of this study was to examine characteristics of users of manufactured and RYO cigarettes and dual users in Thailand, in order to determine whether there are differences in the characteristics of users of the different products.
The 2009 Global Adult Tobacco Survey (GATS Thailand) provides detailed information on current smoking patterns. GATS Thailand used a nationally and regionally representative probability sample of 20,566 adults (ages 15 years and above) who were chosen through stratified three-stage cluster sampling and then interviewed face-to-face.
The prevalence of current smoking among Thai adults was 45.6% for men and 3.1% for women. In all, 18.4% of men and 1.0% of women were current users of manufactured cigarettes only, while 15.8% of men and 1.7% of women were current users of RYO cigarettes only. 11.2% of men and 0.1% of women used both RYO and manufactured cigarettes. Users of manufactured cigarettes were younger and users of RYO were older. RYO smokers were more likely to live in rural areas. Smokers of manufactured cigarettes appeared to be more knowledgeable about the health risks of tobacco use. However, the difference was confounded with age and education; when demographic variables were controlled, the knowledge differences no longer remained. Smokers of manufactured cigarettes were more likely than dual users and those who used only RYO to report that they were planning on quitting in the next month. Users of RYO only appeared to be more addicted than the other two groups as measured by time to first cigarette.
There appears to be a need for product targeted cessation and prevention efforts that are directed toward specific population subgroups in Thailand and include information on manufactured and RYO cigarettes.
In Thailand, more than 20 years of tobacco control regulations and laws [
Sangthong et al. [
One of the purposes of this study was to provide an update of the information presented by Young et al. [
1. What is the prevalence of current tobacco use for males and females by type of cigarettes (manufactured vs RYO)? Do many people use both types of products (dual use)?
2. Are there differences in current use by age, by geographic location, by socio-economic status?
3. Are there differences in knowledge, addiction, and in desire to quit among different groups of users?
From 2008 to 2010, 14 countries, most of them being either low or middle income with a heavy burden of tobacco use and highly populated, conducted the Global Adult Tobacco Survey (GATS) to monitor tobacco use in their countries and the changes driven by policies enacted in those nations [
The target population was noninstitutionalized residents, in Thailand, aged 15 years or above (defined as adults in the current study), and the sample was a nationally and regionally representative probability sample. A stratified three-stage cluster sampling design was used with the strata being five geographic regions: the Bangkok metropolitan area and the North, Northeast, Central, and South regions of Thailand which were further stratified into urban and rural areas. The sampling frame used was supplied by the National Statistical Office (NSO), derived from Thailand’s National Population and Housing Census 2000 [
All interviewees were informed that they could stop the survey and the response was confidential. Interviewers were selected by provincial statistical offices (PSO) and were only responsible for their own province, with supervisors from corresponding PSOs. Both interviewers and supervisors had experience on national health related surveys fieldwork. All of them had at least a Bachelor’s degree in education. There were 2 interviewers/supervisors - training sessions using the same trainers with technical support from CDC and WHO experts.
The interview was conducted in the selected household; while other members of the household could be present, they were instructed to remain silent during the interview. No proxy responding was allowed and no incentives were provided for participation. For the questionnaire interview (average duration was 19.1 minutes, SD = 7.6 minutes), the trained interviewers used personal digital assistants (PDAs) to collect data. The fieldwork started on February 1, 2009, and was completed on May 31 of the same year.
The questionnaire included information on demographics (age, gender, education, income); use of smoking tobacco and of smokeless tobacco; cessation attempts and interest in quitting; exposure to secondhand smoke; purchase of cigarettes during the last 30 days; exposure to media that provided information on smoking and health effects; questions about pictorial warning labels on manufactured cigarette packs, and knowledge, attitudes, and perceptions about tobacco use. Some questions were added by the Thailand GATS working group and reviewed by the Thailand GATS expert committee [
Used as an indicator of socioeconomic status, total personal income was grouped as low (less than 4,780 baht or less than 140.6 USD per month), middle (4,780 to 7,000 baht or 140.6 to 205.9 USD per month), and high (7,001 baht or higher or 206.0 USD or higher per month). Education was grouped into none or less than primary school, primary school, secondary school and university and above. RYO cigarettes, also known as hand-rolled cigarettes are referred to the cigarettes made by hand using shredded tobacco and papers. Current smoking was defined as responding yes to a question about smoking daily or less than daily. Whether smoking can cause seven well proved diseases, including stroke, heart stack, lung cancer, mouth cancer, larynx cancer, impotence, emphysema, was used as information to assess the extent of participants knowledge of health effects. A knowledge score, defined as the total number of the seven knowledge items answered correctly, was used as a summary measure of knowledge.
The data were reviewed for inconsistencies and out of range responses, edited, and weighted, using the complex survey analysis module of SPSS Version 18. Weights were computed as a product of three components: base weight, which was an inverse of the final probability of selection, adjustment for nonresponse at both the household and individual level, and post-stratification adjustment based on residence (urban or rural), age, and gender from the 2008 population projection for Thailand. A two sample test was used for pair comparison of prevalence among different group of users at statistically significant level of p < 0.05. Analyses of knowledge, addiction, and quitting, as well as multivariate analysis, were carried out for men only, because the levels of use of the tobacco products among females were too low for reliable analyses. Multivariate analyses, taking the complex sample design into account, used logistic regression models to see if the type of cigarettes smoked (manufactured cigarette only, RYO only and dual use) was associated with age, education, income, residence, and region. These variables were selected because of previous studies that have shown these variables to be related to tobacco use and the use of RYO. In the multivariate models, we determined the relationship of one variable while controlling for the effects of the others. The test for importance of a factor was carried out by a comparison of the full model with all factors and a reduced model where the factor of interest was excluded.
A total of 20,566 people aged 15 and over were surveyed in Bangkok and in the four regions of Thailand: North, Northeast, Central and South. The household-level response rate was 97.9%, the individual-level response rate was 96.2%, and the overall response rate, a product of household response rate and individual response rate, was 94.2%. Each of the four non-Bangkok regions had high response rates, with at least 95.1% overall, at least 98.4% at the household level, and at least 96.2% at the individual level. The response rate in the Bangkok metropolitan area was 94.6% at the household level, 90.0% at the individual level, and 85.1% overall.
The prevalence of current smoking for all tobacco products (data not shown) was 45.6% among men and 3.1% among women. Although a variety of tobacco products were used including smokeless tobacco, pipes, cigars, and water pipes, 86.3% of all current tobacco users predominantly used two major products, manufactured cigarettes (54.9% of users) and RYO cigarettes (51.6% of users), and 20.2% of users smoked both (data not shown). Among smokers of any tobacco products, 40.4% of them smoked manufactured cigarettes only, 36.6% of them smoked RYO cigarettes only, and 23.4 of them were dual users (40.5%, 34.8%, and 24.7% respectively for men, 35.7%, 60.7%, and 3.6% respectively for women). As shown in Table
Prevalence (in percent and 95%CI ) of current smoking by classification of product and demographic characteristics
| | ||||||||||||||
| Total | 18.4 | (17.3, 19.6) | 15.8 | (14.6, 17.2) | 11.2 | (9.9, 12.5) | 33.7 | 1.0 | (0.8, 1.2) | 1.7 | (1.4, 2.1) | 0.1 | (0.1, 0.2) | 63.0 |
| Age (in years) | ||||||||||||||
| 15–24 | 20.6 | (17.0, 24.7) | 3.2 | (1.9, 5.5) | 13.6 | (10.6, 17.3) | 32.9 | 0.9 | (0.5, 1.6) | 0.2 | (0.0, 1.1) | 0.0 | (0.0, 0.3) | 100.0 |
| 25–44 | 23.3 | (21.4, 25.2) | 14.8 | (13.0, 16.8) | 13.4 | (11.6, 15.4) | 32.3 | 1.1 | (0.8, 1.5) | 0.9 | (0.6, 1.5) | 0.2 | (0.1, 0.4) | 75.2 |
| 45–64 | 14.8 | (13.3, 16.4) | 21.5 | (19.2, 23.9) | 9.0 | (7.4, 10.8) | 38.2 | 1.2 | (0.9, 1.6) | 2.7 | (2.0, 3.6) | 0.2 | (0.1, 0.4) | 41.6 |
| 65+ | 6.7 | (5.6, 8.0) | 28.6 | (25.7, 31.7) | 4.5 | (3.5, 5.9) | 34.9 | 0.6 | (0.3, 1.0) | 3.9 | (2.9, 5.2) | 0.0 | (0.0, 0.1) | 0.0 |
| Education | ||||||||||||||
| None3 | 8.9 | (7.8, 10.1) | 31.8 | (29.5, 34.2) | 9.0 | (7.5, 10.8) | 38.7 | 0.9 | (0.7, 1.2) | 3.9 | (3.1, 4.8) | 0.1 | (0.0, 0.2) | 67.3 |
| Primary | 16.8 | (14.8, 19.0) | 19.0 | (16.2, 22.2) | 17.3 | (14.6, 20.4) | 39.7 | 1.0 | (0.7, 1.6) | 1.0 | (0.5, 1.7) | 0.3 | (0.1, 0.7) | 46.6 |
| Secondary | 25.8 | (23.4, 28.3) | 5.6 | (4.3, 7.3) | 11.6 | (9.7, 13.8) | 27.4 | 1.2 | (0.8, 1.8) | 0.1 | (0.0, 0.4) | 0.1 | (0.0, 0.4) | 81.2 |
| University | 22.7 | (19.6, 26.1) | 1.9 | (1.2, 2.8) | 3.9 | (2.5, 6.0) | 10.2 | 0.7 | (0.3, 1.4) | 0.0 | | 0.0 | | |
| Income | ||||||||||||||
| Low | 11.7 | (10.1, 13.6) | 22.1 | (20.0, 24.3) | 10.3 | (8.5, 12.4) | 33.7 | 0.6 | (0.4, 0.8) | 2.4 | (1.9, 3.0) | 0.1 | (0.0, 0.2) | 63.1 |
| Middle | 21.9 | (19.2, 24.8) | 15.4 | (13.3, 17.8) | 15.8 | (13.1, 18.8) | 35.3 | 1.5 | (1.1, 2.1) | 1.4 | (1.0, 2.1) | 0.2 | (0.1, 0.6) | 71.5 |
| High | 24.1 | (22.4, 25.9) | 8.8 | (7.5, 10.3) | 9.4 | (7.9, 11.1) | 32.0 | 1.5 | (1.1, 2.2) | 0.5 | (0.3, 1.0) | 0.2 | (0.1, 0.5) | 54.7 |
1 Smoked manufactured cigarettes only.
2 Smoked roll-your-own cigarettes only.
3 None or less than primary school.
* Percentage of dual users who smoked more roll-your-own cigarettes than manufactured cigarettes.
There were differences in product use by education and income levels (Table
Prevalence (in percent and 95% CI) of men’s current smoking by type of product, residence and region
| Bangkok | 33.0 | (30.3, 35.7) | 2.8 | (2.1, 3.8) | 2.2 | (1.6, 3.1) | | | | | | |
| Central | 29.7 | (26.3, 33.3) | 7.0 | (5.3, 9.2) | 4.3 | (3.2, 5.8) | 21.5 | (18.6, 24.7) | 15.4 | (12.4, 19.0) | 8.2 | (5.8, 11.5) |
| North | 24.1 | (20.4, 28.3) | 9.3 | (6.9, 12.4) | 2.7 | (1.7, 4.4) | 15.0 | (11.8, 18.8) | 20.1 | (16.7, 24.0) | 5.0 | (3.5, 7.3) |
| Northeast | 30.3 | (26.6, 34.4) | 8.8 | (6.6, 11.6) | 10.3 | (7.8, 13.4) | 10.1 | (7.8, 13.0) | 20.9 | (17.7, 24.4) | 16.0 | (12.8, 19.9) |
| South | 23.3 | (19.8, 27.1) | 12.6 | (10.1, 15.6) | 14.1 | (11.5, 17.1) | 9.0 | (6.7, 12.0) | 22.9 | (19.4, 26.7) | 28.0 | (23.7, 32.7) |
| All | 29.5 | (27.9, 31.1) | 6.8 | (6.0, 7.7) | 5.5 | (4.8, 6.3) | 13.6 | (12.1, 15.3) | 19.7 | (18.0, 21.6) | 13.6 | (11.9, 15.5) |
Table
Multivariate analysis of type of smokers with demographic variables
| Age | p < 0.001* | | p < 0.001* | | p = 0.891* | |
| 15–24 | 1.00 | | 1.00 | | 1.00 | |
| 25–44 | 4.85 | (2.6, 8.9) | 3.81 | (1.9, 7.4) | 1.03 | (0.7, 1.6) |
| 45–64 | 6.94 | (3.6, 13.3) | 6.03 | (2.9, 12.6) | 1.00 | (0.6, 1.7) |
| 65+ | 12.02 | (6.1, 23.6) | 12.68 | (5.9, 27.2) | 0.86 | (0.5, 1.5) |
| Education | p < 0.001* | | p < 0.001* | | p < 0.001* | |
| None or primary school | 22.21 | (12.1, 40.9) | 2.70 | (1.4, 5.2) | 7.18 | (4.1, 12.6) |
| Primary | 12.50 | (6.8, 23.1) | 1.88 | (1.0, 3.5) | 6.47 | (3.7, 11.2) |
| Secondary | 2.90 | (1.6, 5.4) | 1.05 | (0.6, 2.0) | 2.80 | (1.7, 4.7) |
| University | 1.00 | | 1.00 | | 1.00 | |
| Income | p < 0.001* | | p < 0.010* | | p = 0.074* | |
| Low | 3.96 | (2.8, 5.5) | 1.81 | (1.3, 2.6) | 1.49 | (1.0, 2.3) |
| Middle | 1.73 | (1.3, 2.3) | 1.00 | (0.7, 1.3) | 1.46 | (1.0,2.1) |
| High | 1.00 | | 1.00 | | 1.00 | |
| Residence | p < 0.001* | | p = 0.438* | | p < 0.001* | |
| Rural | 3.94 | (3.0, 5.2) | 1.13 | (0.8, 1.5) | 3.52 | (2.6, 4.7) |
| Urban | 1.00 | | 1.00 | | 1.00 | |
| Region | p < 0.001* | | p < 0.001* | | p < 0.001* | |
| Bangkok | 0.08 | (0.0, 0.1) | 1.40 | (0.8, 2.4) | 0.07 | (0.0, 0.1) |
| Central | 0.17 | (0.1, 0.3) | 1.49 | (1.0, 2.3) | 0.12 | (0.1, 0.2) |
| North | 0.20 | (0.1, 0.3) | 2.40 | (1.6, 3.7) | 0.09 | (0.1, 0.2) |
| Northeast | 0.41 | (0.2, 0.7) | 1.02 | (0.7, 1.5) | 0.43 | (0.3, 0.7) |
| South | 1.00 | 1.00 | 1.00 | |||
*p-value of the test for importance of the factor.
Table
Percentage (95% CI) of men’s daily smokers who have correct knowledge of smoking causing diseases
| | ||||||
|---|---|---|---|---|---|---|
| Stroke | 83.3 | (80.4, 85.9) | 73.3 | (69.2, 77.1) | 82.7 | (77.5, 87.0) |
| Heart Attack | 76.6 | (73.4, 79.6) | 69.3 | (65.3, 73.1) | 74.6 | (68.7, 79.8) |
| Lung Cancer | 97.1 | (95.5, 98.1) | 94.5 | (92.6, 96.0) | 97.3 | (95.7, 98.4) |
| Mouth Cancer | 93.6 | (91.8, 95.0) | 85.9 | (82.7, 88.6) | 92.8 | (90.3, 94.6) |
| Larynx Cancer | 94.8 | (93.0, 96.1) | 85.7 | (82.4, 88.5) | 92.2 | (88.3, 94.9) |
| Impotence | 70.4 | (67.1, 73.5) | 59.4 | (55.2, 63.5) | 72.9 | (66.9, 78.2) |
| Emphysema | 92.8 | (90.0, 94.9) | 84.7 | (81.1, 87.7) | 87.9 | (82.7, 91.6) |
| Answer all above questions correctly | 57.7 | (54.0, 61.4) | 49.0 | (44.5, 53.4) | 59.0 | (53.0, 64.7) |
| Knowledge score* | 6.1 | (5.9, 6.2) | 5.5 | (5.3, 5.7) | 6.0 | (5.8, 6.2) |
*The number of knowledge questions correctly answered.
Table
Percentage (95% CI) of men daily smokers who smoke within 30 minutes of awakening by demographic characteristics
| Total | 57.6 | (53.9, 61.2) | 64.3 | (60.0, 68.4)* | 60.4 | (54.3, 66.1) |
| Age (in years) | | | | | | |
| 15–24 | 44.7 | (34.1, 55.7) | 61.4 | (31.8, 84.4) | 51.6 | (36.4, 66.4) |
| 25–44 | 62.4 | (57.4, 67.1) | 66.1 | (59.0, 72.6) | 60.4 | (52.7, 67.6) |
| 45–64 | 58.8 | (53.0, 64.5) | 67.0 | (61.6, 72.0)* | 70.0 | (62.6, 76.4)** |
| 65+ | 51.3 | (41.5, 60.9) | 58.7 | (52.8, 64.5) | 64.8 | (50.4, 76.9) |
| Education | | | | | | |
| none or less than primary school | 54.7 | (47.3, 62.0) | 64.7 | (60.0, 69.1)* | 66.3 | (57.3, 74.2)** |
| Primary | 60.8 | (53.6, 67.5) | 65.3 | (55.7, 73.8) | 57.4 | (47.4, 66.9) |
| Secondary | 56.5 | (50.6, 62.3) | 60.1 | (46.5, 72.3) | 59.8 | (49.6, 69.2) |
| University | 58.8 | (49.4, 67.7) | 64.1 | (42.1, 81.5) | 52.8 | (33.1, 71.7) |
| Income | | | | | | |
| Low | 50.7 | (41.8, 59.6) | 65.2 | (59.5, 70.4)* | 55.4 | (46.5, 64.0) |
| Middle | 57.3 | (50.2, 64.1) | 63.4 | (55.8, 70.4) | 61.6 | (51.3, 71.0) |
| High | 61.1 | (56.7, 65.3) | 62.7 | (54.4, 70.4) | 65.0 | (55.5, 73.4) |
| Region | | | | | | |
| Bangkok | 64.8 | (59.5, 69.8) | 73.7 | (59.2, 84.4) | 61.7 | (45.1, 76.0) |
| Central | 59.8 | (53.2, 66.0) | 67.3 | (60.7, 73.2) | 66.4 | (56.9, 74.7) |
| North | 53.6 | (44.3, 62.5) | 65.0 | (56.5, 72.6)* | 60.2 | (42.9, 75.2) |
| Northeast | 50.8 | (41.4, 60.0) | 61.3 | (52.6, 69.4) | 60.2 | (49.1, 70.4) |
| South | 58.9 | (49.8, 67.5) | 66.3 | (59.3, 72.6) | 57.4 | (49.1, 65.4) |
* p-value < 0.05 of the test for difference between roll-your-own cigarette only smokers and manufactured cigarette smokers.
** p-value < 0.05 of the test for difference between dual users and manufactured cigarette smokers.
As shown in Table
Percentage (95% CI) of men daily smokers who intent to quit smoking by demographic characteristics
| Plan to quit within next month | 7.8 | (6.2, 9.8) | 4.4 | (3.2, 6.0)* | 4.2 | (2.8, 6.2)** |
| Think about quitting within next 12 months | 17.2 | (14.5, 20.3) | 12.6 | (10.3, 15.3)* | 17.4 | (13.3, 22.5) |
| Will quit someday but not in next 12 months | 35.9 | (32.5, 39.5) | 36.6 | (32.7, 40.7) | 43.3 | (37.7, 49.1)** |
| Not interested in quitting | 34.3 | (30.7, 38.1) | 42.8 | (38.6, 47.0)* | 32.8 | (27.8, 38.3) |
| Don’t know | 4.7 | (3.4, 6.5) | 3.7 | (2.4, 5.6) | 2.2 | (1.3, 3.9)** |
| Total | 100.0 | 100.0 | 100.0 | |||
* p-value < 0.05 of the test for difference between roll-your-own cigarette only smokers and manufactured cigarette smokers.
** p-value < 0.05 of the test for difference between dual users and manufactured cigarette smokers.
In 2009, we found that the prevalence of current smoking among Thai adults was 45.6% for men and 3.1% for women. In all, 18.4% of men and 1.0% of women were current users of manufactured cigarettes only, while 15.8% of men and 1.7% of women were current users of RYO cigarettes only and 11.2% of men and 0.1% of women used both RYO and manufactured cigarettes. Users of manufactured cigarettes were younger and users of RYO were older. RYO smokes were also more likely to live in rural areas. When the demographic variables were controlled, there were no differences between the three groups of smoking either in the percentage who answered all seven questions correctly or in total knowledge score. Respondents who smoked only manufactured cigarettes were more likely than dual users and those who used only RYO to report that they were planning on quitting in the next month. Users of RYO only appear to be more addicted than the other two groups as measured by time to first cigarette. These analyses provide recent estimates than have been reported and present information on knowledge and addiction that has not been reported in earlier work.
While comparisons with other surveys such as that National Cigarette Smoking and Alcohol Drinking Survey and the ITC survey can be made, caution should be exercised in that sampling and question wording differed. However, the findings from this study closely mirror those from Young et al. [
The proportion of RYO cigarette smokers is higher in Thailand than in its neighbors, such Vietnam (1.1%) and China (2.3%) [
One important factor in stimulating the decrease in the prevalence of current smoking in Thailand can be found in the increase in the taxation of manufactured cigarettes [
Since there were differences noted in rural areas and for those with lower education and income, it may be that more focused education programs should be developed focusing on RYO smoking. Enhancement of health education programs with information on the harmful effects of both types of cigarettes may provide much needed information for smokers.
There are some limitations that should be noted about this survey. Questions on reasons for use of RYO were not included and, therefore, the explanations about economic and cultural facts are speculative. Given that smoking among women does not appear to be acceptable, the estimate of prevalence for women may be subject to some misreporting. Some of the strengths include the rigorous procedures for sampling and interviewing used in GATS Thailand and the high response rate.
Thailand has implemented comprehensive tobacco control interventions, including educational campaigns in the media, legislation to ban smoking in public places, increases in the cigarette excise tax, bans on advertising, and the use of a pictorial warning labels on manufactured cigarettes. Taken together, these legislative measures may have changed social norms and perceptions about tobacco use in Thailand. Meanwhile, lack of comparable policies in the control of RYO cigarettes may be playing a role in the overall prevalence of smoking in Thailand, diluting the success of existing programs.
There are demographic differences among the three groups of male tobacco users. RYO smokers are older and more likely to live in rural areas. There appears to be a need for product targeted cessation and prevention efforts that are directed toward specific population subgroups in Thailand and include information on manufactured and RYO cigarettes. In addition, adoption of tobacco control measures for RYO products similar to those for manufactured cigarettes could be considered.
All authors declare to have no competing interest.
SB and LT supervised the GATS Thailand and critically commented the manuscript. JH provided technical support for the GATS Thailand, analyzed the data and drafted the manuscript. MK, CT and AL contributed to the GATS Thailand operation. HP contributed to the sample design. LA contributed to the data analysis. SA critically reviewed the manuscript. All authors read and approved the final version of the manuscript.
The pre-publication history for this paper can be accessed here:
We thank three referees’ for their careful reading of the manuscript and their important comments and Dr. Linda Pederson for her contributions to the content and revision of the manuscript. The authors acknowledge Drs. Dhirendra Sinha, Sawat Ramaboot, Prapon Tangsrikiatkul, Prakit Vathesatogkit, Pongpisut Jougudomsuk, for their support and guidance, Mrs. Jirawan Boonperm for her support, and all GATS team members in conducting GATS Thailand.
Funding for the 2009 Global Adult Tobacco Survey Thailand was provided by the Bloomberg Initiative, Reduce Tobacco Use, a program of Bloomberg Philanthropies.
The findings and conclusions are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.