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Using intervention mapping for hookah smoking cessation: a quasi-experimental evaluation

Abstract

Background

The present study aimed to evaluate the results of a theory-based and systematic intervention on Hookah Tobacco Smoking (HTS) cessation in women local to Bandar Abbas, Iran.

Methods

In the present quasi-experimental research, we used an intervention mapping approach to develop, implement, and evaluate an education and training course as our intervention. Applying the results of a systematic review and two prior local qualitative studies, we identified six HTS determinants and set goals for the intervention. We selected 212 eligible women through systematic stratified random sampling and enrolled them in control and intervention groups. The course was presented to the intervention group in 17 sessions for four months. The educational material was developed to address the goals of the intervention, improve HTS determinants, and change the HTS behavior. We used a questionnaire to collect data on participants’ characteristics, HTS behavior, and detailed determinants of HTS in the control and intervention groups at the beginning of the study, at the end of the intervention, and at three- and six- months follow-up. All work done in the study was guided by ethical considerations.

Results

The results showed no significant difference between women enrolled in control and intervention groups regarding participants’ characteristics and HTS behavior. At baseline, there were no differences between groups for six determinants of HTS (knowledge, attitude, social norms, self-efficacy, habit, and intention). At the end of the intervention and at three and six months follow-up, the women in the intervention group had significantly better results in all six domains, compared with those in the control group. The rate of HTS abstinence at the end of the intervention and at the three- and six-month follow-ups was 61.3%, 48.5%, and 45.5% for the intervention and 16%, 14.4%, and 10% for the control groups, respectively.

Conclusions

HTS is a complicated behavior, and its cessation is hard. However, Intervention Mapping (IM) can be a powerful integrative, purposeful, theory-based, and participation-based method to reduce or cease HTS. This method should be tested in other settings.

Trial registration: IRCT20190126042494N1, Registered 3.3.2019. https://en.irct.ir/trial/37129

Introduction

Hookah is a device used for smoking tobacco. Hookah Tobacco Smoking (HTS) is considered a growing health issue as it is accompanied by disease, disability, and addiction in some consumers [1]. The rate of HTS is increasing worldwide. In 2018, a review article reported HTS in 37.2% of East Mediterranean, 22.7% of European, and 11.4% of American adults [2]. Because of greater perceived social acceptance and positive attitudes, HTS is more common in women [3,4,5,6,7]. Iran is among the countries with a significant rise in hookah tobacco consumption. [8, 9]. In the southern Hormozgan Province, 28.4% of men and 45.2% of women smoked hookahs in 2011 [10].

HTS is related to a higher risk of various medical conditions, including premature menopause, low bone density, infertility, ectopic pregnancy, infantile disease and mortality, intrauterine growth restriction, increased chromosome disorders, and genital warts in women [11,12,13]. Considering the high prevalence of HTS among women and its adverse effects, it is essential to identify effective interventions to address HTS. HTS cessation can benefit from effective and relevant behavior change techniques. Yet, it has been shown that the low rate of participation in interventional behavior change programs in adult smokers is a key barrier [14].

Due to the complexity of tobacco consumption behavior and its association with socio-structural processes, certain models and theories have been proposed to tackle the issue [15]. Using a systematic, integrated, participatory, and theory-based approach that benefits from effective, relevant behavior change techniques is essential to for HTS cessation. Intervention Mapping (IM) introduces a series of steps and procedures to help health promoters design evidence- and theory-based programs. It describes the planning process of health promotion in six steps: 1. needs assessment 2. creating the matrix of goals for behavior change 3. choosing theory-based approaches and practical strategies 4. developing interventions 5. planning the implementation of program 6. planning the evaluation [16]. In other studies, IM has been used successfully to determine and implement behavioral and environmental interventions in cigarette smoking and substance use control [17,18,19].

To the researchers’ knowledge, fewer studies have focused on HTS behavior control. The majority of research has addressed the critical factors involved in HTS [20,21,22,23]. The other related literature on HTS among women focused on such aspects as awareness of and attitudes towards HTS [24], the prevalence of HTS [8, 24], factors underlying HTS [25], and the correlation of HTS and health outcomes [26]. fewer studies on HTS cessation have been conducted among men (excluding women) without a precise needs assessment and participation of the target group in interventions [27, 28]. This research, carried out in Bandar Abbas (Hormozgan Province, in the south of Iran), is pioneering in the use of the IM framework to design, implement, and evaluate HTS cessation among women.

Methods

Design

This quasi-experimental study was conducted between June 2018 and July 2020 on intervention and control groups of women over 15 years of age living in Bandar Abbas. The intervention, namely education and training for HTS cessation, was designed and implemented in five systematic steps according to the IM framework (Fig. 1). In the first step, the results of a systematic review and two local qualitative studies, previously done and published elsewhere [29,30,31], were used to better understand the behavioral and environmental factors associated with HTS among women. The details of the other steps can be found in the published research protocol [32].

Fig. 1
figure 1

Steps of intervention (Education and Training for HTS Cessation) design based on IM

Participants’ eligibility

The participants were women over 15 years of age. The inclusion criteria were smoking hookah tobacco four times a week for at least six months [33, 34], no prior experience of a psychological disorder or cardiovascular diseases [35], being local to Bandar Abbas City or residing in the city for at least ten years (for cultural adjustment), and signing an informed consent to take part in the research. The exclusion criteria were simultaneous smoking of cigarettes, tobacco products or drugs, attempts to cease HTS at the outset of the study or just before the study, using nicotine alternative therapy, participation in any other cessation program, absence from more than two training sessions, and unavailability in the post-test.

Sample size and sampling

We used the standard sample size formula in comparative studies with d = 1, s1 = 2.55, and s2 = 2.38. Similar research findings were consulted measuring self-efficacy three months after training in the intervention and control groups by Sotoude [36]. The other values were set at α = 0.05, β = 0.2, a power of 80% and 5% attrition. The sample size for each group was estimated at 106.

Four healthcare centers were selected randomly from 20 centers serving Bandar Abbas. Two were assigned for the control group and the other two for the intervention group. In each healthcare center, an alphabetic list of women over 15 years old was obtained. One of the women was then selected randomly. We called her on the phone to determine study eligibility. If she was found to be ineligible, the next woman on the list was contacted. This process continued until an eligible participant was identified. The next eligible participants were searched for by adding 53 to the row number of the previously selected woman and proceeding on the abovementioned process. We selected 53 eligible women in each healthcare center to be included in the study, totaling 106 for the control group, and the same for the intervention group.

Measurement

The instrument was developed based on the first two steps of the IM framework in our study [37]. It was a questionnaire composed of two parts. The first part asked about demographic and HTS behavioral information, including age, education level, marital status, job status, socio-economic status, the age at which HTS began, years of HTS, HTS in family members, and frequency of HTS per week. The second part asked about detailed determinants of HTS behavior (Table 1).

Table 1 Description of the research instrument

Data collection

The data were collected by questionnaires completed as written self-reports by participants before and after the intervention. After signing informed consent, all control and intervention participants were given the pre-test questionnaire just before the intervention (i.e., at the beginning of the first session). The intervention group then gave the post-tests on three occasions: at the end of intervention (i.e., the 14th session) and at three- and six-month follow-ups. The control group was also given questionnaires at the same time as the intervention group. For all illiterate participants, the questions were read by the interviewer (SD) to eliminate any bias. Each questionnaire took an average of 25 min to complete.

Intervention delivery and follow-up

The intervention was a participatory education and training course designed at personal and interpersonal levels. IM recommends interventions be conducted in five personal, interpersonal, organizational, social, and political levels for maximum effectiveness. Yet, we confined the intervention to two levels due to time and coordination limitations.

We held 14 sessions in intervention groups of 10 to 15 women enrolled randomly at the personal level. At the interpersonal level, three sessions were held for people who had been introduced by the participating women in the intervention group as their supporters. SD enlisted these people, contacted them by phone, explained the purpose and process of intervention, and obtained their informed consent to participate. These people were also organized in groups of 15 to 20 randomly. The control group attended a one-hour session of instructions on the detriments of HTS in six groups of 15 to 20.

The entire course took four months, from September 2019 to January 2020. All sessions were conducted through short, challenging lectures followed by participants’ guided discussions. According to the intervention program, the participants did not receive any other relevant education or training during the intervention.

Four people presented the course. An expert in health education and promotion with a good knowledge of HTS behavior (SD) guided nine sessions. A physician and a clinical psychologist, both experienced in managing physical and psychological consequences of tobacco cessation, conducted the other five sessions. A competent woman who had successfully stopped HTS acted in all sessions as a role model. Sheimproved women’s self-confidence and self-efficacy, and shared her experience in hookah cessation. The instructional material is appended in Additional file 1.

The time and place (e.g., mosque, neighborhood council public hall, or healthcare center) of each session was agreed upon by participants. Each session lasted 90 to 180 min, with a 10-min break after each 40-min discussion. SD attempted to lower the attrition rate by calling the participants on a regular weekly basis. However, three women from the control group and two from the intervention group withdrew at the end of the course. We failed to follow three women from the control and two from the intervention group at the three-month follow-up. One more woman from the intervention group withdrew at the three-month follow-up (Fig. 2).

Fig. 2
figure 2

Intervention profile

Intervention outputs

The intended outputs of the intervention included an increased awareness about harms of HTS and the benefits of cessation, a positive attitude toward HTS cessation, an appreciation of and adherence to positive social norms regarding HTS cessation, an increased self-efficacy in HTS cessation, and an increased behavioral intention for HTS cessation in participants. The questionnaire measured these items at the end of the intervention and at three- and six-month follow-up.

Intervention outcomes

Primary outcome

The intended primary outcome of the intervention was to help the participating women quit HTS. It was measured by asking a question besides the questionnaire immediately after the end of the intervention and at three and six months’ follow-up. The question was, "Did you manage to cease HTS?”, and the answer was yes/ no.

Secondary outcome

The secondary outcome was an eliminated habitual act of HTS investigated by asking the participants “How often do you smoke hookahs during the week?” in the questionnaire just after the end of the intervention and in three and six months’ follow-up. Then each answer was compared with the previous one.

Data analysis

Demographic variables and HTS behavioral information of the two research groups (control and intervention) were analyzed by calculating the mean and standard deviation of the data collected by the first part of the questionnaire at the beginning of the study. Simultaneously, we used the chi-square test to search for any significant difference between the two groups. To compare the detailed determinants of HTS behavior, we analyzed the data collected in the second part of the questionnaire through independent-sample T-test at the beginning of the intervention, at the end of the intervention, and in three- and six-month follow-up. Moreover, we traced changes in the intended outputs and outcomes of the intervention in each group through repeated measures’ analysis at the scheduled occasions mentioned above.

Results

Using descriptive statistics, we explored the demographic characteristics and HTS behavioral information of the two research groups (Table 2). Moreover, the results showed no significant difference between the women enrolled in control and intervention groups regarding age (p-value = 0.75), education level (p-value = 0.581), marital status (p-value = 0.708), job status (p-valye = 0.726), socio-economic status (p-value = 0.999), the age at which HTS began (p-value = 0.835), years of HTS (p-value = 0.10), HTS in family members (p-value = 0.157), and frequency of HTS per week (p-value = 0.496).

Table 2 Demographic characteristics and HTS behavioral variables in the control and the intervention group

Regarding intervention outputs, all six determinants of hookah tobacco smoking, namely knowledge, attitude, social norms, self-efficacy, habit, and intention, had no statistically significant difference between groups at the beginning of the study. Then after the intervention and during the follow-up, the results showed a statistically significant between-group difference (all with a p-value of 0.001). The intervention group obtained significantly better results in all six domains at the end of the intervention and in the three- and six-months follow-up (all with a p-value less than 0.001 in repeated measures analysis). At the follow-up points, the women in the control group did not show a significant improvement in the determinants except in knowledge and attitude (Table 3).

Table 3 Determinants of HTS at the particular occasions during the study in control and the intervention groups

The trend of change in the mean scores of the determinants and HTS behavior is indicated in Fig. 3. As observed, a statistically significant change occurred in the intervention group after the intervention compared to the pre-test. The trend of change in the determinants seems to be fixed in the control group. Moreover, the mean frequency of weekly HTS in the intervention group showed to be significantly lower than the control, and the rate of HTS cessation was higher.

Fig. 3
figure 3

Mean HTS determinants and behavior scores (frequency of HTS per week and the cessation rate) in research groups

The intended primary outcome of the intervention, as stated earlier, was HTS cessation. Among women in the intervention group, 61.3% ceased HTS at the end of the intervention. The rate was 16% for women in the control group. The rates of HTS cessation at the three- and six-month follow-ups were 48.5% and 45.5% for the intervention and 14.4% and 10% for the control group, respectively (Fig. 4).

Fig. 4
figure 4

HTS abstinence at the particular occasions during the study in control and the intervention groups

The intended secondary outcome was an eliminated habitual act of HTS. The behavior showed no significant between-group difference at the beginning of the study (p-value = 0.565). During the study, the act of HTS eliminated significantly in the intervention group (p-value < 0.001) while it did not change in the control group (p-value = 0.367) (Table 3).

Discussion

This study aimed to explore the effect of an educational intervention based on an intervention mapping of HTS cessation in women over 15 years of age in Bandar Abbas City in Hormozgan. The results showed that knowledge scores were significantly increased in the control and intervention groups after the intervention. Yet, this increase was higher in the intervention group than the control. Similarly, in some other studies, there was an increase in the knowledge (awareness) of the adverse effects of HTS in the intervention group [38, 39]. As for the increased knowledge in the control group, it may be argued that one session of educational intervention and completing the questionnaire three times increased their knowledge. It can be speculated that education increased their level of knowledge and, thus, may have motivated participants in the control group to take the first step to lower the rate of hookah smoking or cessation.

As the present findings show, the training intervention significantly changed participants’ attitudes about HTS. Women in the intervention group developed a positive attitude toward HTS cessation and a negative attitude toward HTS. This change is likely because the women developed a thorough understanding of the detriments of HTS and the benefits of cessation. Theyrecurrently reminded themselves of these detriments and benefits during and after the intervention. People's beliefs and attitudes play a key role in HTS. Generally, the more people view the outcomes as positive, the more they tend toward it [40]. In a body of research, including Momenabadi et al. and Firoozabadi et al., a training intervention based on the BASNEF model and the theory of planned behavior increased the attitude score in the intervention group [41, 42].

The present findings show that the mean HTS habit score was decreased in the intervention group after the training as compared with the control group. It is noteworthy that the farther we went from the intervention, the lower the participants’ dependence on the unhealthy habit in the intervention group. This difference was statistically significant in the 3- and 6-month follow-up. This would point to the fact that HTS habit is developed through time. Accordingly, its elimination is time-consuming. Quitting a habit can be a crucial variable in the success of HTS cessation. However, in the present research, this variable and its significance were emphasized all throughout the intervention. Yet, it seems to be inadequate and requires more time and more complicated interventions. Certainly, many internal and external variables are involved in forming a new habit. It seems that recognizing all these variables and intervening in them can help reduce or eliminate HTS. Some research revealed that people who do not develop the HTS habit could successfully cease tobacco consumption [43].

The present findings showed that the mean self-efficacy score in HTS cessation was increased in the intervention group after the training intervention as compared with the control. This divergence was statistically significant. It seems that a training intervention using effective theoretical methods and appropriate practical methods, including role models, role play, and guided practice, managed to gain women's trust and increase their confidence in their ability to cease HTS, resist the current conditions, and break from hookah smoking friends. This would point to the fact that those with a higher level of self-efficacy enjoy a more realistic view, engage more in the new behavior, and are less influenced by peer pressure [44, 45]. Previous research findings showed that the more people rely on their own capability of self-care (abstinence form tobacco consumption), the less they tend to show the target behavior [46, 47]. To explain this finding, it can be noted that those with a high level of self-efficacy are well-coordinated and stable in behavior. Thus, they are more psychologically fit. And, there are fewer chances of retreating to uncommon or unhealthy behaviors like HTS to solve problems. A body of research has confirmed the positive effect of the training intervention on increasing self-efficacy in the intervention group compared with the control group in showing HTS behavior [27, 28].

Furthermore, the present findings showed a significant increase in the mean subjective norm score in the intervention group compared with the control. It seems that influential people's recommendation in participants' lives was a key factor in ceasing or cutting down on HTS. Peers and family members play a key role in HTS and can effectively persuade people not to smoke and prevent the rate of HTS [48]. Similarly, a body of research found an increase in the mean score of subjective norms in the intervention group compared with the control [41, 49]. To confirm this finding, another study showed that family members' comments play a key role in HTS cessation [50]. Thus, it is essential to identify the influential people in smokers' lives, raise their awareness of tobacco products' detriments and involve them directly and indirectly in training interventions.

Another finding was the increased behavioral intention in the intervention group compared with the control group. The increased intention of cessation and the lower rate of HTS after the training intervention have been confirmed in a body of literature [41, 51]. In the present research, not all participants who intended to cease HTS ultimately managed to do so. It seems that there were specific barriers to changing this intention to an actual cessation behavior. In other words, other facilitating factors were needed too. These factors act as moderators to change intention to behavior and, when lacking, they disrupt the procedure [52]. Further research is required to increase the rate of HTS cessation as it mainly relates to these barriers.

The present findings showed a significant decrease in the frequency of HTS in the intervention group after the training compared with the control. This would show that the systematic and participation-based IM framework managed to affect changing HTS behavior positively. Similar to the present findings, other studies showed a statistically significant decrease in HTS in the intervention group compared with the control group [27, 28]. Contrary to the present findings, some other research showed no effect of the training intervention on HTS behavior [14, 38]. These contradictory findings can be partially explained by different training interventions, the duration of intervention, and features of the target population.

Another main finding was HTS cessation in the intervention group compared with the control group. The difference between the two groups was statistically significant. It seems that due to the complexity of the effective factors involved in HTS or cessation, IM can be a suitable method to achieve HTS cessation. Similar to the present findings, another study reported a two-fold rate of cessation in the intervention group compared with the control [53]. Contrary to the present findings, no statistically significant difference was found in some other investigations between the intervention and control groups regarding the rate of hookah cessation [54, 55]. This divergence can be partly due to the type of training intervention, duration of intervention, sample size, and characteristics of the target population. Why, in the same training conditions and the same demographic information, some women managed to cease HTS while others did not can be explained by the fact that besides intrapersonal factors, several external factors might have been at work. These factors were not controllable by the participants or researchers.

Limitations

The data about hookah tobacco smoking (HTS) were self-reported in this study. It is possible that the women participants provided socially desirable responses. So the researcher attempted to emphasize the confidentiality of the information to lower the bias. Convenience sampling among women residents of a city in Hormozgan Province probably limits the generalizability of findings to women in other provinces and other target populations, especially men. However, to increase generalizability, the sampling was done in a big city within the province. The women were selected from different socio-demographic backgrounds.

Another limitation of this research was the lack of biochemical tests to confirm cessation. Instead, from the beginning, researchers attempted to gain the participants’ trust to reduce the effect of this bias as much as possible. Some other related literature also drew attention to the effective role of gaining participants' trust to increase their honesty in response to questions exploring their state of HTS after the training intervention [14, 56]. As there is no similar research to the present work, comparability and decision-making with this respect are difficult. Due to time limitations, any intervention at organizational, social, and political levels was deemed impossible. It is suggested that all these levels be investigated for a successful HTS cessation.

Implications

No effective hookah cessation programs were available before the present study to intervene in HTS among men and women or any other target population. Thus, the present study significantly contributes to the HTS cessation literature. Implications of this quasi-experimental research show that women smokers who participated in the intervention had a higher cessation rate than those in the control group. This would point to the current program's effectiveness not only in Iran but also potentially globally for other domains that require testing and validation of the HTS program. Finally, the present findings can guide policy-makers to develop the required standards and guidelines for implementing theory- and evidence-based HTS cessation programs and interventions.

Conclusions

The present research supports the effectiveness of the training intervention based on the IM framework in HTS cessation. Statistically significant differences were found in the mean scores of intervention group before and after the training. A significantly lower rate of HTS and a higher rate of cessation were observed in the intervention group compared with the control. Finally, it can be concluded that developing an effective intervention in complicated behaviors such as HTS is demanding but practical. It seems that IM can, through an integrated, systematic, theory-based, or participation-based interventional program, be effective in all steps of program design to reduce or cease the rate of HTS.

Availability of data and materials

The datasets analyzed during the current study are available from the Corresponding author upon reasonable request.

Abbreviations

HTS:

Hookah tobacco smoking

IM:

Intervention Mapping

References

  1. Mostafa A. Self-reported addiction to and perceived behavioural control of waterpipe tobacco smoking and its patterns in Egypt: policy implications. EMHJ. 2020;26(1–2020):18–28.

    PubMed  Google Scholar 

  2. Jawad M, Charide R, Waziry R, Darzi A, Ballout RA, Akl EA. The prevalence and trends of waterpipe tobacco smoking: a systematic review. PLoS ONE. 2018;13(2):e0192191.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Shearston JA, Park SH, Lee L, Oshinsky C, Sherman S, Weitzman M. Increasing hookah use among adolescent females in the US: analyses from the 2011–2014 National Youth Tobacco Survey (NYTS). Tobacco Prevent Cessat. 2016;2(September):74.

    Google Scholar 

  4. Villanti AC, Cobb CO, Cohn AM, Williams VF, Rath JM. Correlates of hookah use and predictors of hookah trial in US young adults. Am J Prev Med. 2015;48(6):742–6.

    Article  PubMed  Google Scholar 

  5. Daou KN, Bou-Orm IR, Adib SM. Factors associated with waterpipe tobacco smoking among Lebanese women. Women & Health. 2018;58(3):1–11.

    Google Scholar 

  6. Baheiraei A, Sighaldeh SS, Ebadi A, Kelishadi R, Majdzadeh R. Factors that contribute in the first hookah smoking trial by women: a qualitative study from Iran. Iran J Public Health. 2015;44(1):100.

    PubMed  PubMed Central  Google Scholar 

  7. Eshah NF, Froelicher ES. Knowledge, attitudes, beliefs and patterns of waterpipe use among Jordanian adults who exclusively smoke waterpipes. Eur J Cardiovasc Nurs. 2018;17(1):85–92.

    Article  PubMed  Google Scholar 

  8. Baheiraei A, Mirghafourvand M, Nedjat S, Mohammadi E. Charandabi SM-A: prevalence of water pipe use and its correlates in iranian women of reproductive age in Tehran: a population-based study. Med Princ Pract. 2012;21(4):340–4.

    Article  PubMed  Google Scholar 

  9. Hessami Z, Masjedi MR, Ghahremani R, Kazempour M, Emami H. Evaluation of the prevalence of waterpipe tobacco smoking and its related factors in Tehran, Islamic Republic of Iran. EMHJ-East Mediterr Health J. 2017;23(2):94–9.

    Article  Google Scholar 

  10. Ghanbarnejad A, Aghamolaei T, Ghafari HR, Daryafti H. Hookah smoking and associated factors in rural region of Hormozgan, Iran. Zahedan J Res Med Sci. 2012; 14(9): 111–3.

    Google Scholar 

  11. Tansaz M, Adhami S, Mokaberinejad R, Namavar Jahromi B, Atarzadeh F, Jaladat AM. An overview of the causes and symptoms of male infertility from the perspective of traditional persian medicine. Iran J Obstet Gynecol Infertil. 2016;18(182):11–7.

    Google Scholar 

  12. Sarokhani M, Veisani Y, Mohamadi A, Delpisheh A, Sayehmiri K, Direkvand-Moghadam A, Aryanpur M. Association between cigarette smoking behavior and infertility in women: a case-control study. Biomed Res Ther. 2017;4(10):1705–15.

    Article  Google Scholar 

  13. Ghaemdoust F, Nahvijou A, Zendehdel K, Farzaneh F. Waterpipe as a risk factor for genital warts. A case report. Basic Clin Cancer Res. 2019;11(3):142–6.

    Google Scholar 

  14. Rajabalipour M, Sharifi H, Nakhaee N, Iranpour A. Application of social cognitive theory to prevent waterpipe use in male high-school students in Kerman. Iran Int J Prevent Med. 2019;10(1):186.

    Google Scholar 

  15. Michie S, Atkins L, West R. The behaviour change wheel: a guide to designing interventions. Great Britain: Silverback Publishing; 2014.

    Google Scholar 

  16. Kok G, Peters LW, Ruiter RA. Planning theory-and evidence-based behavior change interventions: a conceptual review of the intervention mapping protocol. Psicologia: Reflexão e Crítica. 2017;30:19.

  17. Mirzaei-Alavijeh M, Kok G, Hidarnia A, Niknami S, Motlagh MI. My family-study, early-onset substance use prevention program: an application of intervention mapping approach. J Educ Community Health. 2017;3(4):1–15.

    Article  Google Scholar 

  18. Dalum P, Schaalma H, Kok G. The development of an adolescent smoking cessation intervention—an Intervention Mapping approach to planning. Health Educ Res. 2012;27(1):172–81.

    Article  PubMed  Google Scholar 

  19. Brendryen H, Kraft P, Schaalma H. Looking inside the black box: using intervention mapping to describe the development of the automated smoking cessation intervention ‘happy ending.’ J Smok Cessat. 2010;5(1):29–56.

    Article  Google Scholar 

  20. Pirdehghan A, Aghakoochak A, Vakili M, Poorrezaee M. Determination of predicting factors of Hookah smoking among pre-university students in Yazd in 2015. Pajouhan Sci J. 2016;15(1):28–36.

    Google Scholar 

  21. Muzammil DS, Al Rethaiaa AS, Al Mutairi AS, Al Rashidi TH, Al Rasheedi HA, Al Rasheedi SA. Prevalence and perception of shisha smoking among university students: a cross-sectional study. J Int Soc Prevent Community Dent. 2019;9(3):275.

    Article  CAS  Google Scholar 

  22. Bashirian S, Barati M, Mohammadi Y, Mostafaei H. Factors associated with hookah use among male high school students: the role of demographic characteristics and hookah user and non-user prototypes. J Res Health Sci. 2016;16(4):217.

    PubMed  PubMed Central  Google Scholar 

  23. Nouri-lang SH-T, Ghanbarzadeh S. The investigation of the factors affecting the tendency to hookah in Talesh city. J Guilan. 2017;23:123–106.

    Google Scholar 

  24. Iqbal N, Irfan M, Ashraf N, Awan S, Khan JA. Prevalence of tobacco use among women: a cross sectional survey from a squatter settlement of Karachi, Pakistan. BMC Res Notes. 2015;8(1):1–5.

    Article  Google Scholar 

  25. Sighaldeh S, Charkazi A, Amani M, Ostovan T, Manglizadeh E. Factors contributing to the initiation of waterpipe tobacco smoking among Iranian women. East Mediterr Health J. 2020;26(1):61–7.

    Article  PubMed  Google Scholar 

  26. Nematollahi S, Mansournia MA, Foroushani AR, Mahmoodi M, Alavi A, Shekari M, Holakouie-Naieni K. The effects of water-pipe smoking on birth weight: a population-based prospective cohort study in southern Iran. Epidemiol Health. 2018;40:e2018008.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Joveini H, Rohban A, Eftekhar Ardebili H, Dehdari T, Maheri M, Hashemian M. The effects of an education program on hookah smoking cessation in university students: an application of the Health Action Process Approach (HAPA). J Subst Use. 2020;25(1):62–9.

    Article  Google Scholar 

  28. Bashirian S, Barati M, Sharma M, Abasi H, Karami M. Water pipe smoking reduction in the male adolescent students: an educational intervention using multi-theory model. J Res Health Sci. 2019;19(1):e00438.

    PubMed  PubMed Central  Google Scholar 

  29. Dadipoor S, Kok G, Aghamolaei T, Heyrani A, Ghaffari M, Ghanbarnezhad A. Factors associated with hookah smoking among women: a systematic review. Tob Prev Cessat. 2019;5:26.

    Article  PubMed  PubMed Central  Google Scholar 

  30. Dadipoor S, Kok G, Aghamolaei T, Ghaffari M, Heyrani A, Ghanbarnezhad A. Explaining the determinants of hookah consumption among women in southern Iran: a qualitative study. BMC Public Health. 2019;19(1):1–13.

    Article  Google Scholar 

  31. Dadipoor S, Kok G, Heyrani A, Aghamolaei T, Ghaffari M, Ghanbarnezhad A. Explaining the determinants of hookah smoking cessation among southern Iranian women: a qualitative study. J Subst Use 2020;25(5):469–74.

    Article  Google Scholar 

  32. Dadipoor S, Kok G, Heyrani A, Aghamolaei T, Ghaffari M, Ghanbarnezhad A. An intervention development for cessation of hookah smoking among Iranian women: study protocol for a systematic and theory-based approach to intervention design. Addict Sci Clin Pract. 2020;15(1):1–10.

    Article  Google Scholar 

  33. Mojahed K, Navidian A. The effect of motivational interviewing on self-efficacy to quit hookah smoking in pregnant women. J Hayat. 2018;24(1):84–96.

    Google Scholar 

  34. Jabbour S, El-Roueiheb Z, Sibai A. Nargileh (water-pipe) smoking and incident coronary heart disease: a case-control study. Ann Epidemiol. 2003;8(13):570.

    Article  Google Scholar 

  35. Hekmatpoue D, Ouroji M, Shamsi M. Effectiveness of educational program on smoking cessation consistence based on trans-theoretical model. Daneshvar Med J. 2013;20(104):39–50.

    Google Scholar 

  36. Setoudeh A, Tahmasebi R, Noroozi A. Effect of education by health volunteers on reducing water-pipe use among women in Bushehr: an application of health belief model. J Hayat. 2016;22(1):50–64.

    Google Scholar 

  37. Dadipoor S, Heyrani A, Aghamolaei T, Ghanbarnezhad A, Ghaffari M. Predictors of Hookah smoking among Women in Bandar Abbas, Southern Iran: a cross-sectional study based on the intervention mapping protocol. Substance Use Misuse . 2020;55(11):1800–7.

    Article  PubMed  Google Scholar 

  38. Mohlman MK, Boulos DN, El Setouhy M, Radwan G, Makambi K, Jillson I, Loffredo CA. A randomized, controlled community-wide intervention to reduce environmental tobacco smoke exposure. Nicotine Tob Res. 2013;15(8):1372–81.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Setoudeh A, Tahmasebi R, Noroozi A. Effect of education by health volunteers on reducing water-pipe use among women in Bushehr: an application of health belief model. J Hayat. 2016;22(1):50–64.

    Google Scholar 

  40. Kaveh MH. Evaluation of explanation of the BASNEF model on smoking waterpipe among the students one of the medical universities located in the south of Iran. Iran J Health Educ Promot. 2020;7(4):312.

    Google Scholar 

  41. Momenabadi V, Kaveh MH, Hashemi SY. Effect of educational intervention on intention of university students’ disuse of hookah smoking: BASNEF model. J Subst Use. 2018;23(3):262–7.

    Article  Google Scholar 

  42. Saeed Firoozabadi M, Tahmasebi R, Noroozi A. Predicting factors on continued intention of Waterpipe smoking among women in Bushehr using the theory of planned behavior. Iran J Health Educ Health Promot. 2015;2(4):260–9.

    Google Scholar 

  43. Gupta P, Jain A. Assessment of prevalence, beliefs, and habits of hookah smoking among people with a medical background compared to people with a non-medical background: a cross-sectional self-administered questionnaire-based study. Cureus 2016;15;8(8):e735.

  44. Chang FC, Lee CM, Lai HR, Chiang JT, Lee PH, Chen WJ. Social influences and self-efficacy as predictors of youth smoking initiation and cessation: a 3-year longitudinal study of vocational high school students in Taiwan. Addiction. 2006;101(11):1645–55.

    Article  PubMed  Google Scholar 

  45. Hiemstra M, Otten R, de Leeuw RN, van Schayck OC, Engels RC. The changing role of self-efficacy in adolescent smoking initiation. J Adolesc Health. 2011;48(6):597–603.

    Article  PubMed  Google Scholar 

  46. Ghasemi M, Sabzmakan L. Experiences of high school students about the predictors of tobacco use: a directed qualitative content analysis. J Educ Community Health. 2015;2(3):1–11.

    Article  Google Scholar 

  47. Kear ME. Psychosocial determinants of cigarette smoking among college students. J Community Health Nurs. 2002;19(4):245–57.

    Article  PubMed  Google Scholar 

  48. Grant A, O’Mahoney H. Portrayal of waterpipe (shisha, hookah, nargile) smoking on Twitter: a qualitative exploration. Public Health. 2016;140:128–35.

    Article  CAS  PubMed  Google Scholar 

  49. Joveyni H, Dehdari T, Gohari M. Waterpipe smoking in the male college students: an education intervention using theory of planned behavior. J Res Health. 2013;3(4):497–503.

    Google Scholar 

  50. Joveyni H, Dehdari T, Gohari MR, Gharibnavaz H. The survey of attitudes, subjective norms and perceived behavioral control of college students about hookah smoking cessation. Health Syst Res. 2012;8(7):1311–21.

  51. Little MA, Talcott GW, Bursac Z, Linde BD, Pagano LA, Messler EC, Ebbert JO, Klesges RC. Efficacy of a brief tobacco intervention for tobacco and nicotine containing product use in the US Air Force. Nicotine Tob Res. 2016;18(5):1142–9.

    Article  PubMed  Google Scholar 

  52. Hubley J. Understanding behaviour: the key to successful health education. Trop Doct. 1988;18(3):134–8.

    Article  CAS  PubMed  Google Scholar 

  53. Lipkus IM, Eissenberg T, Schwartz-Bloom RD, Prokhorov AV, Levy J. Affecting perceptions of harm and addiction among college waterpipe tobacco smokers. Nicotine Tob Res. 2011;13(7):599–610.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Leavens EL, Meier E, Tackett AP, Miller MB, Tahirkheli NN, Brett EI, Carroll DM, Driskill LM, Anderson MP, Wagener TL. The impact of a brief cessation induction intervention for waterpipe tobacco smoking: a pilot randomized clinical trial. Addict Behav. 2018;78:94–100.

    Article  PubMed  Google Scholar 

  55. Asfar T, Al Ali R, Rastam S, Maziak W, Ward KD. Behavioral cessation treatment of waterpipe smoking: the first pilot randomized controlled trial. Addict Behav. 2014;39(6):1066–74.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Jiang N, Ho SY, Wang MP, Leung LT, Lam TH. Waterpipe smoking among secondary school students in Hong Kong. Int J Public Health. 2016;61(4):427–34.

    Article  PubMed  Google Scholar 

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Acknowledgements

This research received a fund from the National Institute for Medical Research (#983514). Thus, the present researchers express their gratitude to this institute for its financial support. Appreciation is also extended to all participants (women and their supporters in cessation) and the planning team in all steps of IM, instructors, and supervisors of healthcare centers and those in charge of the local council in each region.

Funding

This study is funded by a research grant from the National Institute for Medical Research (#983514).

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Contributions

TA and SD planned and designed the study with support from the rest of the study team—MA, AH, MGH, AGH. SD drafted the manuscript and registered the trial with clinicaltrials.gov. All authors reviewed, edited, and/or approved the final manuscript for submission.

Corresponding author

Correspondence to Teamur Aghamolaei.

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Ethics approval and consent to participate

The ethical approval was obtained for the present research from the National Institute of Medical Research (IR.NIMAD.REC.1398.21). The participants were asked to take part in the research voluntarily and were ensured of the confidentiality of the information they provided.

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Not applicable.

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The authors have no competing interests to declare.

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Additional file 1

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Dadipoor, S., Heyrani, A., Mirzaei-Alavijeh, M. et al. Using intervention mapping for hookah smoking cessation: a quasi-experimental evaluation. Addict Sci Clin Pract 17, 18 (2022). https://doi.org/10.1186/s13722-022-00287-5

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