Skip to main content

Association between perceived harm of tobacco and intention to quit: a cross-sectional analysis of the Vietnam Global Adult Tobacco Survey

Abstract

Background

Perception of harm plays an important role in predicting intention to quit—an integral part of the cessation process. Perception on harm from bamboo waterpipe tobacco was unknown, even the predominant of this type of tobacco use. This study investigated the effects of perceived harm from cigarette and bamboo waterpipe tobacco on intention to quit among adult male Vietnamese tobacco users.

Methods

From the nationally-representative 2015 Global Adult Tobacco Survey, we included 1,351 adult males (≥ 18 years old) who used cigarettes, bamboo waterpipes, or both. Demographic characteristics, tobacco use behaviors, perceived harm from tobacco use, and regulation/policy exposure were measured. Effects of perceived harm from cigarette and bamboo waterpipe tobacco on intention to quit were assessed by logistic regression.

Results

Intention to quit prevalence was 59.0%, 55.0%, and 58.4% for cigarette, waterpipe, and dual users, respectively. Tobacco users who perceived that “using cigarettes and/or waterpipe could cause severe illness” and “waterpipe use is less harmful than cigarette smoking”, had tobacco use bans at home, or were exposed to anti-smoking campaigns or encouragement to quit information were more likely to intend to quit. When analyzed by tobacco users, intention to quit was more likely for those users who perceived their tobacco product as more harmful than the other product type, although statistical significance was only observed for cigarette users.

Conclusions

Misperceptions regarding harm from tobacco use could negatively affect intention to quit. Dissemination of accurate information on the risks from all forms of tobacco use and enforcement of tobacco control policies are important for encouraging intention to quit.

Peer Review reports

Introduction

Despite the predominant form of cigarettes among various tobacco types all over the world, waterpipe use also significantly contributed to the growing share of tobacco use globally. The global prevalence of waterpipe use that ranges from 5 to 34%, with higher estimates in rural Western Pacific and Eastern Mediterranean regions and increasing use among youths and adolescents in European countries [1]. Although bamboo waterpipe use common in the Western Pacific region, including Vietnam, research on the effects of its use has not been yet received attention properly [1]. In Vietnam, the prevalence of smoking is high, with nearly half of men identified as current tobacco users [2]. Among Vietnamese men, the prevalence of cigarette smoking is 36.7%, and the prevalence of bamboo waterpipe use is 13.7% [2], which is the highest prevalence of waterpipe use in Asia [1]. Nevertheless, there is no study investigated on bamboo waterpipe user in Vietnam.

Given the concept of the theory of planed behavior with respect to smoking [3], the intention to quit smoking forms an integral part of the cessation process and has been found to be significantly associated with quit attempt [4, 5]. However, a study of smokers from 14 low-and-middle-income countries indicated that only 18% of smokers plan to quit smoking [6], whereas the rate is 2 to 3 times higher in many high-income countries with well implemented tobacco control policies [7, 8]. Thus, investigation of factors associated with a lower prevalence of intention to quit, especially in LMICs, is crucial to the development of effective tobacco control policies. Several factors related to intention to quit have been previously investigated, including demographics [6, 7, 9, 10], tobacco-related knowledge [11,12,13], risk perception [14,15,16], socio-contextual [17], and regulation/policy effects [6, 7, 15, 18]. Among these associated factors, perceived risk plays an important role in predicting health behaviors as hypothesized in the Health Belief Model [19]. The tobacco-related studies have been supported the conceptual model that harm from tobacco product was significantly predicted intention to quit and quit attempt [20]. However, almost study was focus on conventional cigarette or emerging tobacco product such as e-cigarette or heated tobacco products, while no study investigated effects of perception on comparative harm from bamboo waterpipe tobacco and cigarette on intention to quit has been conducted, even the predominant of this type of tobacco use.

In Vietnam, a few studies have investigated factors associated with smoking cessation patterns among Vietnamese tobacco users including age [21, 22], living area [22], level of nicotine dependence [21, 23], past quit attempts [21], pictorial health warning [24], knowledge of illness caused by smoking [22]. However, studies that assess the impact of perceived harm from different tobacco product types including waterpipe tobacco on intention to quit and that take individual and policy factors into consideration has not investigated yet. Hence, aim of this study was to investigate the effect of perceived harm from cigarette and bamboo waterpipe tobacco on the intention to quit among a nationally representative sample of male tobacco users in Vietnam.

Methods

Data source and study population

Data were obtained from the 2015 Global Adult Tobacco Survey (GATS) in Vietnam, which is a cross-sectional nationally representative survey of 8,996 Vietnamese participants who were ≥ 15 years old. Standardized approaches for sampling method, questionnaire design, data collection, data management, and ethical considerations were used for conducting GATS. The questionnaire addressed 10 sections related to the World Health Organization’s MPOWER measures to assist countries with tobacco control: (1) demographic characteristics, (2) tobacco smoking, (3) electronic cigarette use, (4) smokeless tobacco use, (5) cessation efforts, (6) secondhand smoke exposure, (7) economics, (8) media exposure, (9) knowledge, attitudes and perceptions, and (10) pictorial graphic health warnings and tax stamps on cigarette packs.

Tobacco users were defined as who reported that they currently smoke any kinds of tobacco (e.g., cigarette, bamboo waterpipe, smokeless tobacco, etc.) on a daily basis or less than daily. After excluding non-tobacco users and occasional tobacco users, women, and those < 18 years old, 1,600 adult male tobacco users were available for inclusion in this study. We excluded the non-daily tobacco users because of lacking several information on smoking behaviors such as first use of a cigarette/waterpipe after waking among non-daily smokers, which was a well-known factor (i.e., nicotine dependence) associated with the intention to quit. After excluding 18 tobacco users who used these other minor types of tobacco products (shisha, smokeless tobacco, e-cigarettes and cigars) and 231 users who had incomplete information on concerned variables, 1,351 tobacco users were included in the final analysis, including 966 users of cigarettes only, 256 users of bamboo waterpipes only, and 129 dual users (Fig. 1).

Fig. 1
figure 1

Flowchart for selection of study participants

Description of variables

The main outcome of this study is intention to quit. All tobacco users who planned to quit “within the next month”, “within the next 12 months”, or “someday but not in the next 12 months” were classified as having the intention to quit. Those who answered “not interested in quitting” were classified as not having the intention to quit, which was also defined in previous study [25].

The perceived harm from tobacco use were independent variable, including knowledge of whether cigarette and waterpipe use causes serious illness (both do not cause severe illness, only waterpipe causes severe illness, only cigarette causes severe illness, or both products cause severe illness), and perceived harm from waterpipe use versus cigarette smoking (less harmful, equally harmful, or more harmful).

For covariates, the factors groups associated with intention to quit were illustrated in conceptual diagram in Fig. 2. For individual level, demographic characteristics included age (18–24, 25–44, 45–65, or ≥ 65 years), ethnic group (Kinh-major ethnicity, or others—minor ethnicity such as Thai, Tay, Nung, Dao, etc.), residential area (rural or urban), education level (primary school or less, secondary school, high school or higher), marital status (unmarried; married; or separated, divorced or widowed). Occupation was classified as professionals or managers (e.g., legislators, senior officials, or managers; high qualified professionals; or technicians or associate professionals), skilled laborers (e.g., members of armed forces; service workers; shop and market sales workers; skilled agricultural and fishery workers; craft and related trade workers; or plant and machine operators and assemblers), semi-skilled laborers or clerks (e.g., elementary occupation, clerks, drivers, or guardians), and others (e.g., student, homemaker, retired, or unemployed).

Fig. 2
figure 2

Conceptual diagram on the factors associated with intention to quit

Information on tobacco use behaviors, including type of tobacco products used (cigarettes, waterpipe, or dual user) and age at tobacco use initiation were obtained. Among daily tobacco users, the number of cigarettes smoked and waterpipe sessions per day were asked for cigarette smokers and waterpipe users, respectively. Time to the first use of cigarette or waterpipe tobacco after waking (≤ 5, 6–30, 31–60, or > 60 min) was determined.

For household level, information on the number of family members, having children at home (yes or no), and tobacco use regulation at home (no ban, partial ban, or comprehensive ban) was obtained. No ban on smoking in household was defined as smoking is allowed in every room inside of home or there are no rules on smoking ban. Partial ban was defined as smoking is allowed in some rooms inside of home or smoking is generally not allowed inside of your home but there are exceptions. Smoking is never allowed inside of the home was comprehensive ban.

For community factors, tobacco control policy also was measured. Data were also recorded regarding whether exposure to pictorial health warnings on cigarette packs, anti-smoking campaigns or encouragement to quit information, and advertisements or signage to promote tobacco products within the last 30 days in locations such as newspapers, television, radio, or internet.

Statistical analysis

The frequency distribution for each variable by intention to quit was performed and the collinearity of variables was evaluated. Multiple logistic regression analysis was used to evaluate the association between intention to quit and perceived harm on cigarette and bamboo waterpipe tobacco. The final model was selected after consideration of collinearity of variables of individual-level factors, adjustment for potential confounders including individual-level factors (age group, educational level, marital status), age at smoking initiation, number of cigarette smoked/waterpipe sessions used per day, time to the first use of cigarette or waterpipe tobacco after waking), household-level factors (smoking ban at home, having children at home), and community-level factors (Exposed to anti-smoking campaigns or encouragement to quit information, and exposed to advertisements/signage to promote tobacco products in the last 30 days), and assessment of model fit. Because of lacking the standardized measurement of intensity for both cigarette and waterpipe smoking, the number of cigarettes smoked and a number of waterpipe sessions used daily for cigarette users and waterpipe users was measured, respectively. Therefore, we combined two such variables into a single one to adjust in multiple logistic regression model among the whole study population. Subgroup analysis stratified by tobacco users was performed, and the reference group of a variable on perceived harm from waterpipe use versus cigarette smoking was changed. For cigarette-only users, perceived harm from cigarette smoking compared with waterpipe tobacco use was asked; in contrast, for waterpipe-only users, perceived harm from waterpipe use compared with cigarette smoking was measured. To examine the selection bias due to excluding 231 observations having missing information on concerning variables, we did the sensitivity analysis of factors associated with intention to quit by tobacco user groups, shown in Supplemental Table 1. Both descriptive and analytical statistical approaches were applied using weights. All statistical analyses were performed with STATA (version 14.0) software, and values of p < 0.05 were considered statistically significant.

Table 1 Factors associated with intention to quit: logistic regression analysis

Results

There were 1,351 tobacco users included in our study and majority aged from 25 to 64 years, was Kinh ethnicity, and lived in rural area (Table 1). 70.5% of them were cigarette-only smokers. Mean age at smoking initiation was 19.8. Nearly half of tobacco users perceived that waterpipe use was less harmful than cigarette smoking. 39.5% of households had a comprehensive or partial ban on tobacco use at home. Most tobacco users were exposed to pictorial health warnings on cigarette packs and anti-smoking campaigns or encouragement to quit information within the last 30 days.

Overall, 58.2% of tobacco users had the intention to quit (59.0%, 55.0%, and 58.4% of cigarette users, waterpipe users, and dual users, respectively). According to the multiple model, tobacco users were more likely to intend to quit smoking if they initiated smoking at older age, had higher nicotine dependence, perceived that severe illness could be caused by cigarette use only, waterpipe tobacco only or both waterpipe and cigarettes, had a partial or comprehensive tobacco ban at home, or were exposed to anti-smoking campaigns or encouragement to quit information within the last 30 days (Table 1).

The main findings of this study was shown in the subgroup analysis by type of tobacco product used (Table 2). In multiple model, for cigarette users, those who perceived that use of both cigarette and waterpipe tobacco causes severe illness had a higher likelihood of intention to quit than those thought that both did not cause severe illness. Perceiving that cigarette and waterpipe tobacco caused severe illness were also the associated factor of intention to quit among cigarette-only users and waterpipe tobacco-only users. Notably, 81.0% of waterpipe users perceived that waterpipe use was less harmful than cigarette smoking, whereas only 35.0% of cigarette users perceived that cigarette smoke was less harmful than waterpipe use. Furthermore, cigarette smokers who perceived their tobacco product of choice as more harmful than waterpipe tobacco smoking were more likely to have intention to quit than those that perceived their product as less harmful; however, a significant association was not observed for waterpipe users. Furthermore, having a smoking ban at home was significantly associated with a higher likelihood of intention to quit for users of waterpipe only; this association was not significant for cigarette-only users and dual users. Exposure to anti-smoking campaigns or encouragement to quit information within the last 30 days significantly increased the likelihood of intention to quit for dual users. Additionally, age at smoking initiation and time to the first use of cigarette/ waterpipe tobacco were significantly associated with intention to quit among cigarette-only users.

Table 2 Factors associated with intention to quit by tobacco user groups: multiple logistic regression analysis

Supplemental Table 1 shows sensitivity analysis that examined factors associated with intention to quit by tobacco user groups. The association between the harm from tobacco products and intention to quit was not different from the main findings.

Discussion

In the present study, Vietnamese waterpipe users had a lower likelihood of intention to quit than did cigarette smokers. In a previous study in Egypt, cigarette and mixed users had a significantly higher likelihood of intention to quit than did waterpipe (i.e., shisha) users [26]. Another previous study indicated that waterpipe use might be associated with the inducement of cigarette smoking relapse [27].

The use of the Vietnamese waterpipe has a long history in Vietnam, dating back to the eighteenth century. Its use has become a traditional custom of cultural and spiritual importance among Vietnamese men, even among women in ethnic minorities [28]. Furthermore, the lack of waterpipe-specific control policies in Vietnam, such as no tax on waterpipe tobacco, and no health warning, may explain the low prevalence of intention to quit among waterpipe users, especially given the social and culture acceptability of this product, which is similar what is seen in China [29], Egypt [26], and the US [30]. Thus, waterpipe-specific control policies and activities should be enacted and enforced such as prevention campaigns, warnings of harm associated with use, offering cessation programs, and raising taxation, in a manner similar to that for cigarette control policies that have been implemented in Vietnam with remarkable success [31]. Such efforts should aim to reduce the social acceptability of waterpipe use and encourage intention to quit among waterpipe users in Vietnam, where the prevalence of tobacco use is high but the past quit attempt and 6-month prolonged abstinence rates are still low at 39.6% and 5.1%, respectively [2, 32]. In addition, further studies are needed to identify effective smoking interventions and factors that contribute to the lower prevalence of intention to quit among waterpipe users.

In the present study, misunderstanding of the harm from tobacco products were identified as important independent factors associated with intention to quit among all tobacco users combined. The prevalence of intent to quit was lowest among tobacco users who perceived that waterpipe use was more harmful than cigarette smoking, of which most were cigarette smokers (188/195 users, 96.4%) (Data not shown). In other words, a considerable proportion of cigarette users, who are the predominant group of tobacco users, may be more likely to quit because they perceived that cigarettes were more harmful than the Vietnamese waterpipe. This finding was also observed in the subgroup analysis by product type, with cigarette smokers and waterpipe users who perceived their tobacco product of choice as more harmful than the other product type being more likely to have intention to quit than those that perceived their product as less harmful (Table 2).

It is notable that only 35.0% of cigarette users perceived that cigarette smoking was less harmful than waterpipe use, but most waterpipe users (81.0%) perceived that waterpipe use was less harmful than cigarette smoking, which is consistent with a significantly lower prevalence of intention to quit among waterpipe users. Our findings are relevant to marketing promotions of the tobacco industry for products such as the waterpipe (e.g., hookah), e-cigarettes, and heated tobacco as less harmful alternatives for cigarettes and as devices for smoking cessation [33,34,35,36]. However, evidence suggests that these alternative products can serve as a bridge to cigarette smoking [1, 37,38,39,40,41,42] and hinder attempts to quit and successful cessation among tobacco users [1, 27, 43]. Thus, to prevent the transition to alternative smoking products rather than quitting, widespread educational campaigns that counter marketing activities by tobacco companies are needed. In addition, marketing activities by tobacco companies should be regulated to prevent misperceptions regarding the harm from different smoking products. The present study also indicated that tobacco users who perceived that both cigarette and waterpipe use can cause severe illness were significantly more likely to have intention to quit than did those who did not perceive these products as harmful. This finding is consistent with previous studies that identify knowledge/perception about the harmful effects of tobacco products as factors that are strongly associated with the intention to quit [11,12,13]. However, in subgroup analysis by tobacco users, perceived harm from their tobacco product compares to another and perceived harm of whether cigarette and waterpipe use causes serious illness were not significantly associated with intention to quit among waterpipe users or dual users, which was likely the result of small sample size.

Additionally, we found that implementation of a comprehensive or partial ban on smoking at home was positively associated with intention to quit, which is consistent with findings in other countries [6, 7, 15]. Also similar to previous studies [6, 44], we found that likelihood of intention to quit was increased by exposure to anti-smoking campaigns or encouragement to quit information In subgroup analysis by tobacco product types, the significant association between smoking ban at home and intention to quit only showed in waterpipe-only users, not in cigarette-only smokers. The one of possible explanation is that waterpipe session duration usually lasts longer, even over one hour, than cigarette smoking [45, 46], it could thereby not be permitted to use waterpipe tobacco at home. Therefore, ban on smoking at home due to longer duration of waterpipe tobacco use could motivate intent to quit.

The present study highlighted that type of tobacco product and perceived harm from these products might be key factors affecting intention to quit among male tobacco users in Vietnam, where the quit attempt rate is low, and enforcement of tobacco control policies is lacking. However, a few limitations should be mentioned. First, given the cross-sectional study design, the temporal association between independent variables and intention to quit could not be established. However, our findings are meaningful and generalizable, given the use of a nationally representative sample of the Vietnamese population and standardized methods to conduct the survey [2]. Secondly, small sample sizes could explain why statistically significant associations between several potential factors and intention to quit were not observed for waterpipe and dual users, even though significant results were obtained for cigarette smokers. Third, the patterns and intensity of smoking for cigarette and waterpipe sessions are contrasting, however, it has not been available for the standardized measurement scale for both tobacco types. Therefore, we put number of cigarettes smoked and number of waterpipe session in the same categories for analysis for all smokers (Table 1). Lastly, users of other tobacco products, such as smokeless tobacco and e-cigarettes, were excluded from the present study because of the low prevalence of their use in Vietnam. Nevertheless, we do not believe that these exclusions had a meaningful effect on our results.

The promotion of certain tobacco product types as less harmful products could negatively impact intention to quit. Conversely, bans on tobacco use at home and exposure to anti-smoking campaigns or encouragement to quit information could increase the prevalence of intention to quit. Therefore, dissemination of accurate information on the health risks from all forms of tobacco and enforcement of tobacco control policies are important for encouraging intention to quit. Furthermore, those strategies might be applicable for recent emerging novel tobacco products, such as e-cigarettes and heated tobacco, which have been promoted as less harmful substitutes for cigarettes.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available in the Global Tobacco Surveillance System Data, https://nccd.cdc.gov/GTSSDataSurveyResources/Ancillary/DataReports.aspx?CAID=2.

References

  1. WHO Study Group on Tobacco Product Regulation, Waterpipe tobacco smoking: health effects, research needs and recommended actions for regulators, 2nd edition.  Geneva: World Health Organization; 2015.

  2. Minh, H.V., Kim Bao Giang, and Phan Thi Hai, Global Adult Tobacco Survey Vietnam 2015.

  3. Ajzen I. The theory of planned behavior. Organ Behav Hum Decis Process. 1991;50(2):179–211.

    Article  Google Scholar 

  4. Hyland A, et al. Individual-level predictors of cessation behaviours among participants in the International Tobacco Control (ITC) Four Country Survey. Tob Control. 2006;15 Suppl 3(Suppl 3):iii83-94.

    CAS  PubMed  Google Scholar 

  5. Rise J, et al. Predicting the intention to quit smoking and quitting behaviour: extending the theory of planned behaviour. Br J Health Psychol. 2008;13:291–310.

    Article  CAS  Google Scholar 

  6. Owusu D, et al. Intentions to quit tobacco smoking in 14 low- and middle-income countries based on the transtheoretical model. Drug Alcohol Depend. 2017;178:425–9.

    Article  Google Scholar 

  7. Myung SK, et al. Association of sociodemographic factors, smoking-related beliefs, and smoking restrictions with intention to quit smoking in Korean adults: findings from the ITC Korea survey. J Epidemiol. 2012;22(1):21–7.

    Article  Google Scholar 

  8. Siahpush M, et al. Socioeconomic variations in nicotine dependence, self-efficacy, and intention to quit across four countries: findings from the International Tobacco Control (ITC) Four Country Survey. Tob Control. 2006;15 Suppl 3(Suppl 3):iii71–5.

    CAS  PubMed  Google Scholar 

  9. Fagan P, et al. Quit attempts and intention to quit cigarette smoking among young adults in the United States. Am J Public Health. 2007;97(8):1412–20.

    Article  Google Scholar 

  10. Nayak P, et al. Electronic nicotine delivery system dual use and intention to quit smoking: will the socioeconomic gap in smoking get greater? Addict Behav. 2016;61:112–6.

    Article  Google Scholar 

  11. Yang J, et al. Health knowledge and perception of risks among Chinese smokers and non-smokers: findings from the Wave 1 ITC China Survey. Tob Control. 2010;19 Suppl 2(Suppl 2):i18–23.

    Article  Google Scholar 

  12. Yoon-Jung C, et al. Tobacco related knowledge is associated with Heaviness of Smoking Index (HSI) and intention to quit among korean smokers: findings from 2016 ITC Korea Survey. J Korean Soc Res Nicotine Tob. 2018;9:31–8.

    Article  Google Scholar 

  13. Sansone GC, et al. Knowledge of health effects and intentions to quit among smokers in India: findings from the Tobacco Control Policy (TCP) India pilot survey. Int J Environ Res Public Health. 2012;9(2):564–78.

    Article  Google Scholar 

  14. Savoy E, et al. Risk perception and intention to quit among a tri-ethnic sample of nondaily, light daily, and moderate/heavy daily smokers. Addict Behav. 2014;39(10):1398–403.

    Article  Google Scholar 

  15. Hsu YJ, et al. Factors associated with intention to quit smoking among young father smokers in Taiwan. Am J Epidemiol. 2012;175:S54.

    Article  Google Scholar 

  16. Wu IH, et al. Waterpipe smoking among university students in the United States: predictors of an intention to quit. Value in Health. 2012;15(4):A53.

    Article  Google Scholar 

  17. Jung M. Exploring socio-contextual factors associated with male smoker’s intention to quit smoking. BMC Public Health. 2016;16:398.

    Article  Google Scholar 

  18. Lilic N, Stretton M, Prakash M. How effective is the plain packaging of tobacco policy on rates of intention to quit smoking and changing attitudes to smoking? ANZ J Surg. 2018;88(9):825–30.

    Article  Google Scholar 

  19. Rosenstock IM. The health belief model and preventive health behavior. Health Educ Monogr. 1974;2(4):354–86.

    Article  Google Scholar 

  20. Costello MJ, et al. Perceived risk and quitting behaviors: results from the ITC 4-country survey. Am J Health Behav. 2012;36(5):681–92.

    Article  Google Scholar 

  21. Ngo CQ, et al. Correlated factors with quitting attempts among male smokers in Vietnam: a QUITLINE-based survey. Int J Environ Res Public Health. 2018;16(1):84.

    Article  Google Scholar 

  22. Huong L, et al. Pattern of smoking cessation and its associated factors in Vietnam. Health. 2012;04:289–96.

    Article  Google Scholar 

  23. Tran BX, et al. Motivation for smoking cessation among drug-using smokers under methadone maintenance treatment in Vietnam. Harm Reduct J. 2015;12(1):50.

    Article  Google Scholar 

  24. Ngoc Bich N, et al. Salience and impact of health warning label on cigarette packs in Vietnam: findings from the Global Adult Tobacco Survey 2015. Behav Med. 2019;45(1):30–9.

    Article  Google Scholar 

  25. Wang Q, Mati K. Intention to Quit among Smokers in Kazakhstan: Data from 2014 Global Adult Tobacco Survey. J Epidemiol Glob Health. 2019;9(1):23–8.

    Article  CAS  Google Scholar 

  26. Singh PN, et al. Differences in health and religious beliefs about tobacco use among waterpipe users in the rural male population of Egypt. J Relig Health. 2012;51(4):1216–25.

    Article  Google Scholar 

  27. Hammal F, et al. A pleasure among friends: how narghile (waterpipe) smoking differs from cigarette smoking in Syria. Tob Control. 2008;17(2): e3.

    Article  CAS  Google Scholar 

  28. Tran, TPT., et al., Tobacco and alcohol use among ethnic minorities in Vietnam. Asia Pac J Public Health, 2020: https://doi.org/10.1177/1010539520956444.

  29. Huang X, et al. Why are male Chinese smokers unwilling to quit? A multicentre cross-sectional study on smoking rationalisation and intention to quit. BMJ Open. 2019;9(2):e025285.

    Article  Google Scholar 

  30. Athamneh L, et al. Predictors of intention to quit waterpipe smoking: a survey of arab americans in houston Texas. J Addict. 2015;2015:575479–575479.

    Article  Google Scholar 

  31. Minh, H.V., et al., Tobacco control policies in Vietnam: Review on MPOWER implementation progress and challenges. 2016 (2476–762X (Electronic)).

  32. Ngo CQ, et al. Impact of a smoking cessation quitline in Vietnam: evidence base and future directions. Int J Environ Res Public Health. 2019;16(14):2538.

    Article  Google Scholar 

  33. Hendlin YH, et al. financial conflicts of interest and stance on tobacco harm reduction: a systematic review. Am J Public Health. 2019;109(7):e1–8.

    Article  Google Scholar 

  34. Ahmad I, Dutra LM. Imitating waterpipe: another tobacco industry attempt to create a cigarette that seems safer. Addict Behav. 2019;91:244–52.

    Article  Google Scholar 

  35. McCausland K, et al. The messages presented in electronic cigarette-related social media promotions and discussion: scoping review. J Med Internet Res. 2019;21(2):e11953.

    Article  Google Scholar 

  36. Kathuria P, et al. Identifying misleading propaganda of Electronic Nicotine Delivery Systems (ENDS) and hookah in New Delhi, India: Building youth self-efficacy skills to resist new industry tactics. Tob Induc Dis. 2018;16:209–10.

    Article  Google Scholar 

  37. Kang, H, Cho SI. Heated tobacco product use among Korean adolescents. Tobacco Control, 2019: p. tobaccocontrol-2019–054949.

  38. Hammond D, et al. Prevalence of vaping and smoking among adolescents in Canada, England, and the United States: repeat national cross sectional surveys. BMJ. 2019;365:l2219.

    Article  Google Scholar 

  39. Cobb C., et al., Waterpipe tobacco smoking: an emerging health crisis in the United States. 2010(1945–7359 (Electronic)).

  40. McNeill A, et al., E-cigarettes: an evidence update. A report commisioned by Public Health England. 2015.

  41. Berry KM, et al. Association of electronic cigarette use with subsequent initiation of tobacco cigarettes in US Youths. JAMA Netw Open. 2019;2(2):e187794–e187794.

    Article  Google Scholar 

  42. Morgenstern M, et al. E-Cigarettes and the use of conventional cigarettes. Dtsch Arztebl Int. 2018;115(14):243–8.

    PubMed  PubMed Central  Google Scholar 

  43. El-KhouryLesueur F, Bolze C, Melchior M. Factors associated with successful vs. unsuccessful smoking cessation: data from a nationally representative study. Addict Behav. 2018;80:110–5.

    Article  Google Scholar 

  44. Chen P, et al. Association Between Anti-Tobacco Campaigns and Quit Intention Among Youth in Taiwan. Value in Health. 2018;21:S103.

    Article  Google Scholar 

  45. Jawad M, et al. Factors associated with dual use of waterpipe tobacco and cigarettes among adults in Pakistan. East Mediterr Health J. 2020;26:47–54.

    Article  Google Scholar 

  46. Jawad M, Roderick P. Integrating the impact of cigarette and waterpipe tobacco use among adolescents in the Eastern Mediterranean Region: a cross-sectional, population-level model of toxicant exposure. Tob Control. 2017;26(3):323.

    Article  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

This study was funded by National Research Foundation of Korea (NRF). Grant number: 2020R1A2C2012295.

Author information

Authors and Affiliations

Authors

Contributions

MKL conceptualized and designed the study. TPTT, JP, and TNPN conducted literature searches and provided summaries of previous research studies. TPTT conducted the statistical analysis. TPTT and MKL wrote the manuscript. MHV gave critical input on the explain and discussion of the results. All authors contributed to and have approved the final manuscript.

Corresponding author

Correspondence to Min Kyung Lim.

Ethics declarations

Ethics approval and consent to participate

All methods were performed in accordance with the Declaration of Helsinki. This study involved the secondary analysis of a public dataset which had obtained ethics approval. No ethical approval is needed to access the data used in this study.

Consent for publication

Not applicable.

Competing interests

None.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tran, T.P.T., Park, J., Nguyen, T.N.P. et al. Association between perceived harm of tobacco and intention to quit: a cross-sectional analysis of the Vietnam Global Adult Tobacco Survey. BMC Public Health 22, 909 (2022). https://doi.org/10.1186/s12889-022-13348-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-022-13348-w

Keywords