Abstract
Hookah smoking is highly prevalent and has been rising in popularity among young people worldwide. Yet, no recent and comprehensive reviews have been published to assess the prevalence and identify the main predictors of hookah use. We have thus carried out a comprehensive scoping review to consolidate and review the existing evidence for the prevalence and main determinants of hookah smoking among youth. A comprehensive literature search was thus conducted utilizing various databases including ScienceDirect, Scopus, Embase, and MEDLINE to identify relevant studies. To be incorporated in this review, studies had to include individuals below the age of 25, measure the prevalence of hookah smoking, or examine the determinants of hookah smoking. The review showed that hookah is mostly prevalent among youth from the Middle Eastern region, USA, South Asia, and various European countries. It also identified the main determinants of hookah smoking, which include age, the male gender, socioeconomic status, geographic region, other forms of substance use, knowledge, beliefs, and attitudes toward hookah smoking, sensation seeking, having friends and/or family members who smoke hookah, social acceptability, intention, accessibility, and lack of enforcement of prohibiting laws. The main determinants of hookah use include having friends and/or family members who smoke hookah, social acceptability, attitude, accessibility, and lack of enforcement of prohibiting laws. Public health authorities, educators, and other stakeholders should implement educational interventions to enhance the knowledge level on hookah smoking’s harm and addiction and should target not only the individuals but also the family and the social environment.
Keywords: determinants, hookah smoking, prevalence, scoping review, youth
Introduction and background
Hookah smoking, a method of inhaling tobacco smoke through a water pipe, is highly prevalent among youth [1]. According to the Centers for Disease Control and Prevention (CDC), almost 8% of high school students reported using hookah to smoke tobacco in 2018 in the United States [1]. It is suggested by literature that youth initiate hookah smoking during their early to mid-teen years [2-15]. This prevalence is concerning since according to the American Lung Association, hookah smoking is associated with various acute and chronic health effects. Short-term use leads to decreased pulmonary function and increased blood pressure and heart rate. Long-term effects include increased risk of chronic conditions such as heart disease, impaired pulmonary function, chronic obstructive pulmonary disease, along with a variety of cancers [16].
It is alarming that although youth are not aware of these harmful risks, there are very few public health interventions that have ever targeted it among this population. The US Food and Drug Administration (FDA) does not have strict regulations for the production, distribution, marketing, and sales of hookahs [17]. Assessing the prevalence and main predictors of hookah smoking is thus highly critical as it would highlight the urgency of conducting family- and policy-wide interventions.
Even though various reviews have been published to summarize the overall evidence on the various correlates of hookah smoking including affordability and accessibility, substance, culture, mental health, positive social appearance, and misconceptions about its lack of health impacts, these reviews did not focus on youth [18-21] or were confined to a specific region [22,23].
We have thus conducted a comprehensive scoping review to consolidate and review existing evidence on the global prevalence and main determinants of hookah smoking among youth. We hypothesize that hookah use among youth will mostly be determined by interpersonal/relationship factors.
Review
Methods
Search Strategy and Inclusion Criteria
The search was conducted based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) [24]. A comprehensive electronic search was carried out in Google Scholar, ScienceDirect, Scopus, Embase, and MEDLINE to identify relevant studies published until September 2023. Articles were also extracted from the reference lists of the identified studies.
The following key terms were searched: (1) (("hookah" OR "shisha" OR "waterpipe" OR "narghile" OR "argileh") AND ("youth" OR "students" OR "college students" OR "children") AND ("predictors" OR "factors" OR "determinants" OR "correlates")); (2) (("hookah" OR "shisha" OR "waterpipe" OR "narghile" OR "argileh") AND ("youth" OR "students" OR "college students" OR "children") AND ("prevalence" OR "use")).
To be incorporated in this review, studies had to (i) be published in peer-reviewed journals; (ii) be written in English; (iii) include youth or individuals below the age of 25; (iv) measure the prevalence of hookah smoking; and (v) examine the determinants of hookah smoking. We excluded investigations that included a study population with an average age exceeding 24 years, did not measure the prevalence or determinants of hookah smoking, and were review studies. The search was restricted to observational studies; no randomized controlled trials were included in the search.
Screening and Data Extraction
T.J. and P.S. independently screened the retrieved abstracts and full texts and evaluated them for inclusion using EndNote X7 [25]. Disagreements between the two authors were resolved by discussion with D.M.
The electronic search identified 556 and 618 records related to the prevalence and determinants (Figure 1), respectively, of hookah smoking. From these citations, 149 and 67 duplicates were excluded, respectively. The remaining abstracts were then screened from which 97 and 177 were excluded, respectively, for reasons such as conference abstracts and the lack of full texts.
Figure 1. Screening process for the review of the prevalence and determinants of hookah smoking among youth.
Source: Page et al. 2021 [26]: The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. https://www.bmj.com/content/372/bmj.n71
Finally, the full-text articles were screened for eligibility based on the inclusion and exclusion criteria; articles were excluded for reasons such as published in a language other than English (27 and 19 articles, respectively), were preprints (19 and 31 articles, respectively), were review articles (21 and 24, respectively), included a study population with an average age exceeding 24 years (34 articles), did not examine the prevalence of hookah smoking (51 articles), and did not provide data on the determinants or predictors of hookah smoking (56 articles).
Data were extracted by two authors independently, T.J. and P.S., using Excel (version 15.37). Disagreements were discussed and resolved with D.M. The following data were extracted from the papers: author, aim, average age of participants, sample size, date of data collection, country, data collection tool, prevalence of hookah smoking, and age of hookah smoking initiation. The extracted results included the percentage of hookah smokers in the study population and the main predictors of hookah smoking.
Quality assessment and synthesis of findings
The methodological quality of all the included investigations was assessed independently by T.J. and P.S. through the use of the Newcastle-Ottawa Scale (NOS) for non-randomized studies [27]. This scale uses a "star" system that ranges from 0 (minimum) to 9 (maximum) to evaluate the quality of studies in three subscales: comparability of subjects; selection of participants; and the assessment of exposures/outcomes. Studies that scored seven to nine stars were deemed to be of high quality. Disagreements were discussed and resolved with D.M.
From the selected studies, findings related to the percentage of the study population that were current hookah smokers (smoked at least once within the past 30 days) were extracted, discussed in the manuscript, and displayed in a table format.
Findings related to the predictors/determinants of hookah smoking were extracted and presented under 12 different themes "Age," "Gender," "SES," "Geographic Region," "Other Addictive Habits," "Knowledge," "Relaxation, Fatigue Relief, Sensation, and Trend," "Flavor," "Social Environment," "Intention, Attitude, and Self-Efficacy," "Smoking Location," and "Policies/Ads."
Results
The findings were grouped into two themes: the prevalence of hookah use and the main factors/determinants associated with this use among youth.
Hookah Use Assessment, Prevalence, and Age of Initiation
Assessment: We found that 124 studies met the inclusion criteria and assessed the prevalence of hookah use among youth in different countries across the world. The majority of these studies were cross-sectional [2-15,28-129], thus measuring its prevalence at one time point. The findings were displayed based on the country where they were conducted.
From the 124 investigations presented, most assessed hookah use via a self-administered questionnaire/survey [10,15,65,71,78,93] such as the Global Youth Tobacco survey [15,86,127,129]. Various studies also examined hookah use through an interview or interviewer-administered questionnaire [46,53,91,97,103,107,115].
Prevalence: Current hookah use in different countries was defined as smoking hookah at least once per month. Most investigations were conducted in the United States [100-123,130-132] and in different Middle Eastern countries such as Iran [2-5,40-57,133,134], Iraq [6,58,59], Lebanon [7,66,67], Palestine [76-78], Jordan [60-65,135], and Saudi Arabia [8,9,81-85]. Furthermore, various studies have been carried out in South Asia such as Pakistan [71-75] and India [36-38], in South Africa [10-12,87], and in different European countries including the United Kingdom [13,14,98,99] and Turkey [92-94].
In the US, prevalence mostly ranged from as low as 2% [114] to over 30% [113,130]. Sidani et al. [130] indicated in a prospective longitudinal study that the prevalence of hookah use increased from 36% to 49% between 2010 and 2011 in a group of university students in Florida, USA. Prevalence, however, was overall higher in Middle Eastern countries ranging from as low as 2% [49] to over 50% [4,65].
Age of hookah smoking initiation: Various research studies have denoted that youth initiate smoking during their early to mid-teen years [2-15]. Alzyoud et al. [62], for instance, indicated that the average age of hookah smoking initiation among a population of 1,000 Jordanian students was 11 (Table 1).
Table 1. Studies and summary of findings related to the prevalence of hookah use among youth.
_____, Data not available.
| Author | Study Design | Sample Size | Aim | Location | Data Collection Tool | Date of Data Collection | Average Age/Age Range (Years) | Prevalence (Total and by Gender) % | Age of Hookah Smoking Initiation (Years) |
| Shayan et al. 2020 [28] | Cross-sectional | 636 | Assess the prevalence of hookah smoking and its association with sociodemographic characteristics in Herat University students. | Afghanistan | Questionnaire | 2018 | ≤24 | Total: 18.1% Males: 27% Females: 7.6% | ________ |
| Ahmed et al. 2020 [29] | Cross-sectional | 340 university students | Examine hookah use and related behavior and normative beliefs among university students in Bangladesh. | Bangladesh | Questionnaire | 2019 | 21.6 | Total: 9.4% | _______ |
| Martins et al. 2014 [30] | Cross-sectional | 586 Med students | Assess the prevalence of hookah use and other forms of tobacco smoking among medical students, and their attitudes, beliefs, and knowledge. | Brazil | Questionnaire | 2008-2013 | 22 (third-year Med student) 24 (sixth-year Med student) | Third-year Med student: Total: 47.5% Males: 53.4% Females: 40% Sixth year: Total: 46.4% Males: 51% Females: 40.7% | _______ |
| Reveles et al. 2013 [31] | Cross-sectional | 495 | Assess the prevalence and factors associated with hookah use initiation among teenagers. | Brazil | Questionnaire | 2011 | ≤19 | Total: 19.7% Males: 10.4% Females: 19% | _______ |
| Ngahane et al. 2023 [32] | Cross-sectional | 1,008 students | Examine the prevalence, knowledge, and determinants of hookah use among university students. | Cameroon | Questionnaire | 2020 | 22.9 | Total: 26% | 20 |
| Minaker et al. 2015 [33] | Cross-sectional | 27,404 | Assess the prevalence, patterns of use, and perceptions of hookah smoking. | Canada | Youth Smoking Survey | 2012-2013 | ≤17 | Total: 5.4% Males: 6.6% Females: 4% | _______ |
| Jiang et al. 2017 [34] | Cross-sectional | 45,857 | Examine the association of hookah smoking with cigarette smoking susceptibility and nicotine dependence among teenagers. | China | School-based survey | 2012-2013 | 15.6 | Total: 1.2% Males: 1.6% Females: 0.8% | _______ |
| Lee et al. 2020 [35] | Cross-sectional | 1288 university students | Assess the demographical and psycho-social factors and patterns of hookah use among university students. | China | Questionnaires | 2018 | 22.4 | Total: 23.8% | 20.2 |
| Hanewinkel et al. 2021 [136] | Cohort | Baseline: 3038; follow-up: 2752 | Examine whether or not hookah smoking increases the risk of trying conventional and electronic cigarettes. | Germany | Questionnaires | 2017-2018 | 14.87 at baseline; 14.85 at follow-up | Baseline: 12.5% Follow-up: 12.2% | ______ |
| Stamm-Balderjahn et al. 2012 [137] | Prospective case-control study with quasi-experimental design | 760 school students in Berlin | Examine the impact of the educational intervention program called “Students in the Hospital” | Germany | Questionnaire | 2007-2008 | 16 | Total: 31.6% | _______ |
| Anand et al. 2013 [36] | Cross-sectional | 1,000 | Assess the prevalence and main determinants of hookah use among high school students. | India | Questionnaire | 2013 | 15.3 | Total: 7.6% | 15.7 |
| Bali et al. 2015 [37] | Cross-sectional | 215 | Assess the characteristics, behavior, and perceptions associated with hookah use among the youth smokers | India | Questionnaire | 2014 | ≤24 | Total: 58.1% | 17.3 |
| Shaik et al. 2013 [38] | Cross-sectional | 750 | Assess the prevalence and main determinants of cigarette and hookah smoking in the age group of 17- 22 years | India | Questionnaire | 2012 | ≤22 | Total: 19% | 18 |
| Fauzi and Areesantichai 2022 [39] | Cross-sectional | 1,318 high school students | Examine the factors associated with past 30-day hookah use among high school students in Jakarta, Indonesia. | Indonesia | Questionnaire | 2015 | ≤19 | Total: 5.20% Males: 8.4% Females: 3.3% | ________ |
| Abbasi-Ghahramanloo et al. 2016 [40] | Cross-sectional | 1992 students | Assess the prevalence of hookah use and related factors in a group of medical sciences students. | Iran | Questionnaire | 2012-2013 | 21.16 | Total: 8.9% Males: 15.8% Females: 5.9% | ________ |
| Anbarlouei et al. 2018 [41] | Cross-sectional | 1321 tenth-grade students | Assess the association between cigarette and hookah smoking, self-esteem, and communication skills among a group of high school students. | Iran | Questionnaire | 2017 | 15.49 | Total: 3.1% Males: 5.1% Females: 1.5% | ______ |
| Bashirian et al. 2016 [2] | Cross-sectional | 601 high school male students | Assess the main determinants of hookah use among male high school students. | Iran | Questionnaire | 2016 | 16.38 | Total: 17.1% | 13.39 |
| Bashirian et al. 2018 [3] | Cross-sectional | 730 high school male students | Assess the role of sociodemographic determinants of hookah use among male adolescents | Iran | Questionnaires | 2017 | 16.41 | Total: 26.3% | 13.31 |
| Bashirian et al. 2019 [133] | Randomized controlled trial | 94 male adolescent students | Examine the impact of educational intervention based on Multi-Theory Model (MTM) to reduce hookah use among male adolescent students in Iran. | Iran | Questionnaire | 2018 | 16.73 | Intervention: 40.4%; control: 44.7% | 13.6 |
| Bashirian et al. 2020 [42] | Cross-sectional | 1302 | Assess the determinants of hookah use among adolescent females based on the Prototype-Willingness Model (PWM). | Iran | Questionnaire | 2019 | 15.2 | Total: 20.4% | 13.65 |
| Bashirian et al. 2021 [43] | Cross-sectional | 1302 | Examine the prevalence of hookah use and its associated risk factors among female teenagers. | Iran | Questionnaire | 2019 | 15.22 | 20.4% | 13.64 |
| Bashirian et al. 2021 [134] | Randomized controlled trial | 110 adolescent girls | Assess the impact of web-based educational program in the prevention of hookah use among girls | Iran | Questionnaire | 2020 | 16.35 (experimental); 16.55 (control) | Experimental: 29.6%; control: 28.5% | Experimental: 12.86; control: 13 |
| Fakhari et al. 2015 [44] | Cross-sectional | 5197 | Determine the prevalence and transition rates in hookah smoking statuses and the factors that predict these transitions among a group of Iranian high school students. | Iran | Questionnaire | 2010-2011 6-month interval | 15.7 | Total: 6% Males: 10.4% Females: 1.4% | ________ |
| Ghafouri et al. 2011 [4] | Cross-sectional | 296 first-year health sciences students | Examine the hookah smoking perceptions and practices of students in Iran and unravel the determinants related to the initiation and maintenance of hookah use among first-year health sciences university students. | Iran | Survey | 2007 | 22 | Total: 51% Males: 52% Females: 48% | 16.9 |
| Jeihooni et al. 2018 [45] | Cross-sectional | 157 university students | Examine the knowledge and attitudes of university students regarding hookah use based on the theory of planned behavior (TPB). | Iran | Questionnaire | 2015 | 23.14 | Total: 32.3% | Not stated |
| Joveini et al. 2016 [46] | Cross-sectional | 306 male students | Assess the determinants of hookah smoking among Sabzevar Azad University students. | Iran | Interview + Questionnaire | 2014 | 22.4 | Total: 46.9% | 17.9 |
| Karimy et al. 2013 [47] | Cross-sectional | 380 Iranian male adolescents | Assess the association between refusal self-efficacy, self-esteem, smoking refusal skills, and hookah use | Iran | Questionnaire | 2012 | 16.7 | Total: 17.3% | _______ |
| Karimy et al. 2013 [48] | Cross-sectional | 400 male adolescents | Assess the attitudes, risk perception, and perceived vulnerability toward hookah use among male students | Iran | Questionnaire | 2011-2012 | 16.7 | Total: 18% | ______ |
| Kelishadi et al. 2016 [49] | Cross-sectional | 13,486 children and adolescents | Examine the determinants of tobacco smoking and hookah use in a nationally representative sample of Iranian children and adolescents. | Iran | Questionnaire | 2011-2012 | 12.47 | Total: 1.8% Males: 2.49% Females: 1.14% | _______ |
| Nabipour et al. 2016 [50] | Cross-sectional | 682 students | Assess the association between hookah use and different dimensions of religiosity in a sample of students attending two major universities. | Iran | Questionnaire along with the Duke University Religion Index | _________ | 21.4 | 18.8% | _______ |
| Rajabalipour et al. 2019 [51] | Cross-sectional | 1,218 urban adolescents | Assess the risk factors and the prevalence of hookah use among adolescents based on the social cognitive theory (SCT). | Iran | Questionnaire | 2017-2018 | 15.93 | Total: 37.76% Males: 23.5% Females: 14.2% | _______ |
| Rezaei et al. 2017 [52] | Cross-sectional | 630 high school students | Examine the familial and social determinants of tobacco and hookah smoking among high school students | Iran | Questionnaire | 2015 | 15.68 | Total: 9.4% Males: 11.4% Females: 7.3% | _______ |
| Roohafza et al. 2011 [53] | Cross-sectional | 233 students | Examine the determinants of hookah smoking initiation and maintenance in Iranian university students. | Iran | Interviewer-administered questionnaire | 2007 | 22 | Total: 19.15% Males: 28.7% Females: 11.5% | _______ |
| Roohafza et al. 2015 [54] | Cross-sectional | 5,408 | Better understand hookah and cigarette smoking based on perceived parental reaction and appeal. | Iran | Questionnaire | 2010 | 14.37 | Total: 11.5% | _______ |
| Sabahy et al. 2011 [5] | Cross-sectional | 1024 university students | Determine the prevalence of hookah use among Iranian university students and identify perceived factors for use. | Iran | Questionnaire | 2010 | 20.6 | Total: 18.7% Males: 28% Females: 9.5% | 16.3 |
| Sahebihagh et al. 2017 [55] | Cross-sectional | 521 first-year students in QUMS | Examine the prevalence and determinants of substance abuse in first-year students of Qazvin University of Medical Sciences (QUMS). | Iran | Questionnaire | 2014 | 19.6 | 4% | Not stated |
| Sadeghi et al. 2019 [56] | Cross-sectional | 280 | Assess the determinants for preventing hookah use in the youth, based on the protection motivation theory (PMT). | Iran | Questionnaire | 2018 | 15.6 | Total: 44.3% | ________ |
| Ziaei et al. 2016 [57] | Cross-sectional | 1517 students | To assess the determinants of hookah use among 15-17-year-old high school students | Iran | Global Youth Tobacco Survey | 2013-2014 | 16.1 | Total: 9.7% Males: 13.5% Females: 6.2% | ______ |
| Al-Delaimy and Al-Ani 2021 [58] | Cross-sectional | 847 male high school students | Assess the prevalence of hookah use among male high school students and investigate the factors associated with this use. | Iraq | Questionnaire based on the California Tobacco Surveys for tobacco use | 2017-2019 | ≤18 | Total: 46.1% | _______ |
| Mousawi 2014 [6] | Cross-sectional | 2298 students | Determine the prevalence and determinants of hookah smoking among university students | Iraq | Questionnaire | 2005 | 21.2 | Total: 10.5% Males: 21% Females: 0.6% | 17.5 |
| Othman et al. 2017 [59] | Cross-sectional | 1061 | Assess the prevalence of hookah smoking and its related factors. | Iraq | Questionnaire | 2014-2015 | 22 | Total: 28% Males: 49.4% Females: 9.4% | <18 |
| Al-Sawalha et al. 2021 [60] | Cross-sectional | 966 | Assess the attitude, knowledge, and factors of knowledge of university students toward the harmful impacts of hookah use. | Jordan | Questionnaire | 2019-2020 | 20 | Total: 40% | ______ |
| Al-Sheyab et al. 2021 [61] | Cross-sectional | 505 students | To examine the risk perceptions and behaviors of hookah smoking use among undergraduate medical and nursing students in Jordan. | Jordan | Questionnaire | 2015 | 21.71 | Total: 32.9% Males: 51.2% Females: 16% | ______ |
| Alzyoud et al. 2013 [62] | Cross-sectional | 1,000 students | Examine the patterns and the determinants of hookah smoking among school-aged children | Jordan | Arabic Youth Tobacco Use Composite Measure (YTUCM) Questionnaire | 2012 | 14.7 | Total: 34% Males: 24% Females: 42% | 11 |
| Dar-Odeh et al. 2010 [63] | Cross-sectional | 1454 students | Assess the hookah use prevalence, patterns, and beliefs related to adverse health among students in three public Jordanian universities | Jordan | Questionnaire | 2008 | ≤24 | Total: 36.8% Males: 61.9% Females: 10.7% | _______ |
| Khabour et al. 2012 [64] | Cross-sectional | 1845 | Assess the prevalence of hookah use and cigarette smoking among university students and their demographic and environmental determinants | Jordan | Questionnaire | 2010 | 21.4 | Total: 30% Males: 59% Females: 13% | <21 |
| McKelvey et al. 2014 [135] | Longitudinal cohort | 1781 | Examine the determinants of hookah smoking guided by the attitude-social influence-self Efficacy (ASE) theory | Jordan | Questionnaire | 2008-2011 | 13 | Initiation over 3 years: Total: 36.8%; Males: 39.2%; Females: 28.3% | ______ |
| Obeidat et al. 2014 [65] | Cross-sectional | 547 students | Assess the prevalence, social acceptance, and awareness of hookah use among dental university students. | Jordan | Questionnaire | 2013 | ≤24 | Total: 54.8% Males: 36.6% Females: 88.6% | 18.1 |
| El-Roueiheb et al. 2008 [7] | Cross-sectional | 2,443 | Examine the tobacco smoking practices (hookah and/or cigar) among teenagers from public and private schools | Lebanon | Questionnaire | 2003-2004 | 15 | Total: 29.6% Males: 26.3% Females: 25% | 12.1 |
| Jawad et al. 2015 [66] | Cross-sectional | 1128 sixth- and seventh-grade students | Assess the prevalence, patterns, and determinants of hookah use among students. | Lebanon | 126-item tobacco questionnaire | 2011-2012 | 12.3 | Total: 22.1% Males: 22% Females: 22% | _______ |
| Jradi et al. 2013 [67] | Cross-sectional | 191 | Assess the prevalence of cigarettes and hookah smoking and examine the knowledge and behavior factors among sixth-year medical students | Lebanon | Questionnaire | 2009-2010 | 23.6 | Total: 29.5% Males: 35.8% Females: 21.2% | 18 |
| Al-Naggar et al. 2012 [68] | Cross-sectional | 300 medical students | Assess the prevalence of hookah use and associated factors | Malaysia | Questionnaire | 2011-2012 | 22.5 | Total: 20% | ______ |
| Redhwan et al. 2011 [69] | Cross-sectional | 200 university students | Assess the use and determinants of hookah use. | Malaysia | Questionnaire | 2010-2011 | ≤24 | Total: 30% | ______ |
| Otakhoigbogie et al. 2022 [70] | Cross-sectional | 546 university students | Examine the knowledge and sociodemographic determinants of hookah use among university students | Nigeria | Questionnaire | 2019 | 20.55 | Total 24.7% Males: 25.1% Females: 24.4% | _______ |
| Habibullah et al. 2013 [71] | Cross-sectional | 7145 | Examine the prevalence of hookah use, its trends and determinants in college, university, and school students | Pakistan | Survey | 2010-2011 | 21 | Total: 19.7% Male 29.8% Female 10.4% | <18 |
| Jaffri et al. 2012 [72] | Cross-sectional | 422 | Assess the frequency of hookah use among university students and examine their practices, knowledge, and attitude. | Pakistan | Questionnaire | 2009 | 21.6 | Total: 22.1% | _______ |
| Khan et al. 2010 [73] | Cross-sectional | 1204 | Assess the impact of age and gender on knowledge, attitude, and practice of hookah use among medical and dental students. | Pakistan | Questionnaire | 2007 | ≤24 | Total: 22.8% Males: 41% Females: 16.9% | ________ |
| Masood and Sohail 2013 [74] | Cross-sectional | 1,000 students | Assess the perceptions of hookah smoking among university students. | Pakistan | Questionnaire | 2011-2012 | ≤24 | Total: 49.92% Males: 59.22% Females: 22% | _______ |
| Shuja et al. 2018 [75] | Cross-sectional | 342 students | Assess the perception of health professional students regarding hookah use and their awareness of its harmful effects on oral health. | Pakistan | Questionnaire | 2015-2016 | 21.36 | Total: 10% | _______ |
| Musmar 2012 [76] | Cross-sectional | 954 | Examine the prevalence and attitude of university students toward hookah smoking. | Palestine | Questionnaire adopted from the Global Health Professionals Survey and the Global Youth Tobacco Survey | 2009-2010 | 20.5 | Total: 34.7% Males: 52.7% Females: 16.5% | _____ |
| Nazzal et al. 2020 [77] | Cross-sectional | 810 university students | Examine the prevalence and determinants of hookah smoking among students at a major Palestinian university. | Palestine | Questionnaire | 2014 | ≤24 | Total: 22.8% Males: 35.4% Females: 11.8% | 17 |
| Tucktuck et al. 2017 [78] | Cross-sectional | 1891 | Assess the prevalence of hookah and cigarette smoking and identify the associated factors among a sample of university students. | Palestine | Questionnaire based on the Global Adults Tobacco Survey (GATS) | 2014-2015 | 20.1 | Total: 24.4% Males: 36.4% Females: 12.9% | 17 |
| Al-Jayyousi et al. 2022 [79] | Cross-sectional | 199 | Assess the prevalence and the individual, sociocultural, and environmental determinants of hookah use among university students. | Qatar | Questionnaire | 2020 | 19 | Total: 40% | _______ |
| Omotehinwa et al. 2018 [80] | Cross-sectional | 427 university students | Determine the prevalence and main determinants of hookah use among students in a university in Kigali Rwanda. | Rwanda | Questionnaire | 2016-2017 | 23.8 | 20.8% | _______ |
| Almogbel et al. 2021 [81] | Cross-sectional | 928 twenty-one to twenty-three-year olds | Assess the determinants of hookah use among university students. | Saudi Arabia | Questionnaire | 2018 and 2019 | 21-23 | Total: 37.4% | _______ |
| Al Mohamed and Amin 2010 [82] | Cross-sectional | 1,382 | Assess the prevalence of different forms of smoking and its main determinants. | Saudi Arabia | Questionnaire based on the Global Youth Tobacco Survey plus the modified Fagerström Test for Nicotine Dependence | 2006-2007 | 20.9 | Total: 14.6% | _______ |
| Alzohairy 2012 [8] | Cross-sectional | 500 male students | Assess the prevalence and beliefs of hookah and cigarette smoking among male students. | Saudi Arabia | Questionnaire | 2011 | 21.41 | Total: 40% | 16.43 |
| Amin et al. 2012 [83] | Cross-sectional | 1,652 students | Assess hookah use prevalence, knowledge of associated health effects, attitude, and psychosocial determinants among secondary school adolescents. | Saudi Arabia | Arabic version of the Global Youth Tobacco Survey | 2008 | 17.5 | Total: 8.1% Males: 8.1% Females: 0.0006% | ______ |
| Awan et al. 2016 [84] | Cross-sectional | 535 | Examine the prevalence of hookah use among healthcare university students and their attitudes and practices. | Saudi Arabia | Questionnaire | 2015 | 24.0 | 23% | 18.1 |
| Koura et al. 2011 [9] | Cross-sectional | 1,020 | Assess the prevalence and the smoking patterns among female non-medical college students in Dammam, Saudi Arabia. | Saudi Arabia | Modified WHO Global Youth Tobacco Survey questionnaire | 2005 | 20.4 | Total: 3.72% | 16 |
| Taha et al. 2010 [85] | Cross-sectional | 371 male students | Assess the use and determinants of hookah use among male students of three colleges. | Saudi Arabia | Questionnaire | 2008 | ≤24 | 8.6% | 16-18 |
| Othman et al. 2019 [86] | Cross-sectional | 3,387 students | Assess the prevalence of hookah smoking and its determinants among adolescents. | Sudan | Questionnaire based on Arabic version of the Global Youth Tobacco Survey | __________ | ≤17 | Total: 13.4% Male 16.8% Female 10.9% | ________ |
| Daniels and Roman 2013 [10] | Cross-sectional | 389 university students | Examine the beliefs, and associated behaviors, related to the health risk of hookah use. | South Africa | Questionnaire constructed from the College Health Behaviour Survey | 2010-2011 | 22.2 | 40% | 15.7 |
| Naicker et al. 2020 [11] | Cross-sectional | 579 students | Examine hookah use and determinants among eighth and 12th graders. | South Africa | Questionnaire | ________ | Grade 8: 13.9 Grade 12: 18.1 | Grade 8: 10.9% Grade 12: 37.1% | Grade 8: 8 Grade 12: 12 |
| Kruger et al. 2016 [12] | Cross-sectional | 4,578 | Examine prevalence of hookah and cigarette smoking and associated determinants. | South Africa | Questionnaire | 2013 | ≤24 | Total: 9.9% | 16.17 |
| Van der Merwe et al. 2013 [87] | Cross-sectional | 228 | Assess the knowledge, attitudes, and practices of hookah use among health sciences students. | South Africa | Questionnaire | 2013 | 21.4 | Total: 18% | ________ |
| Ramji et al. 2015 [88] | Cross-sectional | 106 adolescents who attended an urban high school in northern Sweden | Determine the prevalence and determinants of hookah use in a sample of adolescents in northern Sweden. | Sweden | Questionnaire | 2013 | ≤19 | Total: 25% | ________ |
| Albisser et al. 2013 [89] | Cross-sectional | 201 | Unravel the sociodemographic characteristics of hookah users in Switzerland and examine concurrent cigarette and cannabis smoking habits. | Switzerland | Questionnaire | _________ | 21 | Total: 30% | _______ |
| Alolabi et al. 2020 [90] | Cross-sectional | 622 university students | To assess the prevalence of cigarette and hookah smoking among university students, and examine the addictive behavior. | Syria | Survey | 2019 | 21.3 | Total: 18% | _______ |
| Maziak et al. 2004 [91] | Cross-sectional | 587 students | Examine the beliefs and attitudes related to hookah smoking likely to be associated with its use and increased popularity among the youths | Syria | Interviewer-administered questionnaire | 2003 | 21.8 | Total: 14.7% Males: 25.5% Females: 4.9% | 20 |
| Erbaydar et al. 2010 [92] | Cross-sectional | 460 | Assess the knowledge, smoking patterns, and the perceptions of hookah use in Turkey. | Turkey | Questionnaire | 2004-2005 | 22.5 | Total: 40.2% | _______ |
| Karaman et al. 2022 [93] | Cross-sectional | 411 university students | Examine the frequency and patterns of hookah use among university students and assess their perception on its health risks. | Turkey | Questionnaire | ________ | 22.15 | Total: 38.4% Males: 29.1% Females: 70.9% | 17 |
| Poyrazoglu et al. 2010 [94] | Cross-sectional | 645 students | Examine the prevalence of hookah use among students and its main sociodemographic determinants. | Turkey | Questionnaire | 2008-2009 | 20.3 | Total: 32.7% Males: 41.6% Females: 20.2% | 17.4 |
| Al-Rawi et al. 2018 [95] | Cross-sectional | 397 students | Examine hookah smoking among dental school students | UAE | Survey | 2016 | ≤24 | Total: 14.11% Males: 43.3% Females: 8.2% | ________ |
| Saravanan et al. 2019 [96] | Cross-sectional | 633 students | Assess the prevalence of ever hookah, current hookah, and hookah dependency use among university students in the University of Sharjah (UOS). | UAE | Knowledge and Belief scale, Modified Reason for Smoking Scale, and Fagerstrom Test for Nicotine Dependence (FTND) | 2017-2018 | 20.9 | Total: 38.9% | ________ |
| Aanyu et al. 2019 [97] | Cross-sectional | 663 | Examine hookah use and its main determinants to bolster public health interventions. | Uganda | Interviewer-administered semi-structured questionnaire | 2014 | 24 | Total: 36.4% | 22.8 |
| Jawad et al. 2013 [13] | Cross-sectional | 2,399 students | Assess the prevalence and determinants of hookah use and cigarette smoking among students attending secondary schools in an underserved and ethnically diverse part of inner London. | UK | Questionnaire | 2011-2012 | 14.5 | Total: 7.6% Males: 7.1% Females: 8.1% | 13.5 |
| Jawad and Power 2016 [14] | Cross-sectional | 2,098 | Assess the prevalence of hookah use among secondary school students. | UK | Survey | 2014 | 13.7 | Total: 5% | 14.2 |
| Jawad et al. 2016 [98] | Cross-sectional | 2,217 | Assess the prevalence and patterns of hookah use and examine the tobacco control policy. | UK | Survey | 2013-2014 | 23.4 | Total: 14.4% Males: 12.2% Females: 8.7% | _______ |
| Jawad et al. 2018 [99] | Cross-sectional | 7,954 | Examine hookah use prevalence and correlate among young people in Great Britain | UK | Survey | 2013-2016 | ≤18 | Total: 1.7% | _______ |
| Agaku et al. 2018 [100] | Cross-sectional | 20, 675 sixth to 12th graders | Assess the three social dimensions of youth hookah use: frequency, places smoked, and descriptive social norms. | USA | 2016 National Youth Tobacco Survey | 2016 | ≤18 | Total: 26.3% | |
| Barnett et al. 2014 [101] | Cross-sectional | Florida high school students | Examine the prevalence of hookah use among Florida high school students over time. | USA | Florida Youth Tobacco Survey | 2009-2012 | ≤18 | Total: 7.7% in 2009 and 2012 Males: 9.1% in 2009 and 8.2% in 2012 Females: 6.4% in 2009 and 7% in 2012 | _______ |
| Barnett et al. 2013 [102] | Cross-sectional | 852 students | Assess the associations between positive and negative attitudes and hookah use among college students. | USA | Survey | 2010 | 20.6 | Total: 14% | _______ |
| Barnett et al. 2013 [103] | Cross-sectional | 1,203 university students | Examine hookah use and unravel the associations with cigarette smoking and demographic factors. | USA | Computer-aided survey | 2012 | ≤24 | Total: 9.9% Males: 11.9% Females: 8.2% | _______ |
| Barnett et al. 2017 [104] | Cross-sectional | Florida high school students | Examine the trends in the prevalence of lifetime hookah use and current hookah use among high school students (grades 9–12). | USA | Florida Youth Tobacco Survey data | 2011-2014 | ≤18 | Total: 8% Males: 9.3% Females: 6.7% | ________ |
| Braun et al. 2012 [105] | Cross-sectional | 445 | Examine the perceptions, knowledge, and beliefs of hookah use among university students. | USA | Survey | _________ | 23.1 | Total: 6% | ________ |
| Creamer et al. 2016 [106] | Cross-sectional | 5,451 young adults | Examine college students’ use and awareness of tobacco and nicotine content in hookah. | USA | Survey | 2014-2015 | 20.49 | Total: 16.8% | ________ |
| Doran et al. 2015 [107] | Secondary data analysis of a longitudinal study | 256 college students | Examine whether or not added nicotine exposure from hookah smoking may increase the uptake of cigarettes. | USA | Two in-person interviews | _________ | 19.8 | Total: 34% | ________ |
| Fevrier et al. 2018 [108] | Cross-sectional | 403 college students | Examine the possible patterns/differences in college students’ hookah use. | USA | Survey | ________ | 22.2 | Total: 8.8% | ________ |
| Heinz et al. 2013 [109] | Cross-sectional | 143 undergraduate students | Assess the patterns, contexts, determinants, social norms, and health perceptions of hookah use. | USA | Questionnaire | 2013 | 19.26 | Total: 22% | 17-18 |
| Huang et al. 2017 [110] | Cross-sectional | 4,092 | Assess the changes in the prevalence of hookah use and its main determinants from 2011 to 2013 among North Carolina high school students. | USA | NC Youth Tobacco Survey | 2011-2013 | ≤18 | Total: 3.6% in 2011 Total: 6.1% in 2013 | ________ |
| Jordan and Delnevo 2010 [111] | Cross-sectional | 3,010 high school students | Assess the prevalence factors associated with hookah smoking among high school students. | USA | Questionnaire | 2008 | ≤18 | Total: 9.7% Males: 10.47% Females: 8.79% | ________ |
| Kassem et al. 2015 [112] | Cross-sectional | 1,332 undergraduate students | Assess hookah tobacco use, hookah lounge attendance, and the factors and impediments related to hookah lounge attendance. | USA | Survey | 2007 | 21.2 | Total: 72.8% | 18.3 |
| Krenik-Matejcek et al. 2017 [113] | Cross-sectional | 200 students | Examine college students’ behaviors, attitudes, and knowledge regarding hookah use. | USA | Survey | Published 2017 | 21 | Total: 32% | 17.9 |
| Leavens et al. 2018 [114] | Cross-sectional | 894 college students | Assess the perceived and actual descriptive and injunctive norms of hookah use among a college student sample. | USA | Questionnaire | 2016 | 19.67 | Total: 2.2% Males: 3.3% Females: 1.7% | ________ |
| Lee et al. 2014 [115] | Cross-sectional qualitative | San Diego (N = 2,243), Tulsa (N = 2,095), Oklahoma city (N = 2,200), Albuquerque (N = 1,044), and Las Cruces (894) | Assess differences in tobacco-related attitudes, hookah, and cigarette use among college and non-college young adults. | USA | Qualitative interviews with key informants, patrons in focus groups, and bar owners | 2009-2011 | ≤24 | Total: 21.3% | ________ |
| Noonan et al. 2011 [116] | Cross-sectional | 1,000 undergraduate students | Assess the association between behavioral beliefs, attitudes, normative beliefs, and subjective norms and hookah use intention in college students. | USA | Survey | 2007 | 19.9 | Total: 13.5% | ________ |
| Nuzzo et al. 2013 [117] | Cross-sectional | 852 | Examine the knowledge of hookah use’s harmful effects compared to cigarette smoking and assess the associations between this knowledge and hookah smoking outcomes. | USA | Survey | 2010-2011 | 20.6 | 14% | ________ |
| Primack et al. 2013 [118] | Cross-sectional | 105,012 | Assess the prevalence of hookah use in a large diverse sample of US university students and examine the individual and institution-related determinants. | USA | Survey | 2008-2009 | 22.1 | Total: 8.4% | ________ |
| Rahman et al. 2012 [119] | Cross-sectional | 478 undergraduate and graduate students | Assess the prevalence of hookah use and its social and behavioral determinants. | USA | Survey | 2011-2012 | ≤24 | Total: 16.3% Men: 22.2% Women: 11.5% | ________ |
| Rezk-Hanna et al. 2014 [120] | Cross-sectional | 91 | Utilize the health belief model to assess the perceptions, attitudes, beliefs, and preferences of hookah use and to unravel the main determinants that may impact heavy versus light hookah use among young adults. | USA | Survey | ________ | 23.6 | Total: 20.9% | 19 |
| Sidani et al. 2014 [130] | Prospective longitudinal cohort | Baseline: n = 852 Follow-up: n = 569 | Assess the associations between knowledge, attitudes, and normative beliefs and initiation of hookah use among university students | USA | Survey | _________ | ≤24 | Baseline: 36% Follow-up: 49% | ________ |
| Sidani et al. 2019 [121] | Cross-sectional | 3,236 | Assess the attitudes, normative beliefs, certain sociodemographic factors, and current hookah use among young adults not attending college and compare them to young adults in college. | USA | Survey | 2013 | 24 | 3% not in college, 7% in college | ________ |
| Smith et al. 2011 [122] | Cross-sectional | 689 students | Assess hookah use initiation, prevalence, cessation, and its psychosocial determinants among high school students. | USA | Survey | 2010 | 17.1 | Total: 10.9% | 15.8 |
| Sterling and Mermelstein 2011 [131] | Longitudinal | 951 adolescents | Assess hookah use and determinants among a sample of teenagers who have ever smoked and may be at high risk for smoking hookah. | USA | Questionnaire | _________ | 17.6 | Total prevalence: 17% Males: 19% Females: 15.2% | ________ |
| Sutfin et al. 2011 [123] | Cross-sectional | 3,770 college students from eight universities | Determine the prevalence of hookah use among a large, multi-institution sample of college students and unravel its main determinants. | USA | Survey | 2008 | ≤24 | Total: 17.4% Males: 23.8% Females: 13.7% | 17.9 |
| Villanti et al. 2015 [132] | Cohort | 1,150 | Assess the determinants of hookah use and hookah initiation. | USA | Questionnaire | 2013-2014 | ≤24 | Total: 4% | ______ |
| Nasser et al. 2018 [124] | Cross-sectional | 380 | Assess the prevalence, attitudes, and determinants of smoking among college students in the rural area of Hajja, Yemen. | Yemen | Questionnaire | 2016 | 21.43 | Total: 5% Males: 0% Females: 13% | ________ |
| Nasser and Zhang 2019 [125] | Cross-sectional | 420 | Assess the smoking behavior and smoking-related knowledge among students. | Yemen | Global Youth Tobacco Survey and a Global Health Professional Survey | 2017 | 21.93 | Total: 9.3% Males: 1.9% Females: 21.1% | ________ |
| Hawash et al. 2022 [126] | Cross-sectional | 2,030 selected university students | Assess the university students’ perception of hookah smoking addictions and the main determinants behind the rise in the prevalence of hookah smoking. | Palestine, Jordan, and Turkey | Questionnaire | _________ | ≤24 | 31.8% | ________ |
| Jawad et al. 2016 [127] | Cross-sectional | 76,185 | Examine the prevalence and determinants of hookah use among young people worldwide. | Various countries around the world | Global Youth Tobacco Survey | _________ | ≤24 | Lebanon (36.9%), West Bank (32.7%), Parts of Eastern Europe (Latvia 22.7%, the Czech Republic 22.1%, Estonia 21.9%) | ________ |
| Ma et al. 2022 [15] | Cross-sectional | 335,062 adolescents | Examine the prevalence of, and trends in, hookah use and its correlates among teenagers in 73 countries/territories | 73 countries/territories | Global Youth Tobacco Survey | 2010-2019 | 14.6 | Total: 6.9% Males: 8.5% Females: 5.3% | <13 |
| Salloum et al. 2019 [128] | Cross-sectional | Egypt (n = 728), Jordan (n = 790), and Palestine (n = 722) | Assess hookah smoking patterns, location of smoking, and prices paid among university students in the Eastern Mediterranean Region. | Egypt, Jordan, and Palestine | Survey | 2018 | 21.6 | Total: 60.7%, 67.7%, and 63.1% of students from Egypt, Jordan, and Palestine, respectively | 17.3 |
| Veeranki et al. 2015 [129] | Cross-sectional | 30,711 never-smoking adolescents | Examine the association of hookah use with susceptibility to cigarette smoking among never-smoking youth. | 17 Arab nations | Global Youth Tobacco Survey | 2002-2011 | 14 | Total: 5.2% Males: 6.3% Females: 4.2% | _______ |
Determinants of Hookah Smoking
We identified 162 articles that examined the factors associated with hookah use among youth including demographics, geographic region, knowledge, social environment, correlation with other addictive habits, sensation seeking, intention, policies, and ads. The full list of references for each determinant is displayed in Appendix Table 2.
Age: The majority of the investigations have indicated a positive association between age and hookah use among youth [77,80,81,97,99,126,138]. According to Alzyoud et al. [62], with every one-year increase in age, the odds of being a 30-day hookah smoker increased by 1.6 times. This suggests that youth are more likely to report being a current hookah smoker and/or engage in hookah smoking as they age and might have increased exposure to more correlated risk factors [5,62]. The older the youth, the more likely to become independent, employed, and distant from their parents, and the more likely they are to smoke [81,126].
Gender: Research consistently has shown that males are more likely to be hookah smokers than females [14,50,118,120,125,139]. A cross-sectional study was conducted by Khabour et al. [64] in Jordan on 1845 university students and showed that females had significantly lower odds of being current hookah users (OR = 0.12) compared to males [64]. The differences could be partly explained by the less tolerance toward female smoking behavior and the lack of access to places available for females’ hookah use in various regions such as Saudi Arabia [83], Jordan [64], and Yemen [125]. Nevertheless, the gender gap in hookah smoking prevalence has been decreasing especially in Middle Eastern Regions since hookah use is considered a socially acceptable practice [140].
Socioeconomic status (SES): SES has been shown to be positively associated with hookah smoking behavior among young people [29,33,98,124,125,141]. A cross-sectional survey by Palamar et al. [142] that examined 5540 high school seniors in ∼130 public and private schools throughout 48 US states showed that the student's weekly income from a job of >$50/week significantly increased the odds for hookah use compared to <$50/week. This is not surprising since wealthier students can afford to purchase a hookah device and hookah tobacco and can regularly visit the hookah lounges. Various studies have also indicated that parental education level is also positively associated with hookah smoking among youth [6,28,85,127,142,143]. This supports the hypothesis that hookah use is considered a social activity that occurs frequently among individuals of higher SES.
Geographic region: Hookah smoking is most prevalent in various geographic regions such as Middle Eastern countries including Iran [2-5,40-57,133,134], Jordan [60-65,135], Saudi Arabia [8,9,81-85], Palestine [76-78], Lebanon [7,66,67], Iraq [6,58,59] along with South Asia including India [36-38], Pakistan [71-75], and Bangladesh [138]. Research also has indicated that even in Western countries such as the UK [13,14,98] and the United States [100-123,130-132], hookah smoking was most prevalent among Middle Eastern and South Asian ethnicities. Hookah smoking is a common practice among these ethnicities since it is part of their culture and as a means to relax and have a social activity to share with others.
Other addictive habits/substance abuse: There is strong and consistent evidence suggesting a positive association between cigarette smoking and hookah use among youth [8,39,77,88,110]. For instance, Rahman et al. [119], in a cross-sectional study involving 478 undergraduate and graduate students from Florida, USA, confirmed this finding and showed that smokers had much higher odds of smoking hookah than non-smokers with an odds ratio (OR) of 4.52. Cigarette smokers might perceive hookah to be a safer alternative for smoking and thus might be more susceptible to using hookah than non-cigarette smokers. Moreover, several studies have also indicated that alcohol [6,12,32,144,145], marijuana [89,109,132,146], and even illicit drug use [123,142] are positively related to hookah smoking since the involvement in one risky behavior is associated with engagement in other risky behaviors [147,148].
Knowledge: Literature strongly indicates that knowledge and beliefs were two of the strongest predictors of hookah smoking. Investigations have consistently shown that youth perceived hookah smoking to be less harmful than cigarettes [37,149-151] and that it is either not addictive or less addictive than other forms of smoking [10,83,152-156]. Common assumptions regarding hookah smoking include the ability of water in the waterpipe to absorb all the “impurities” in tobacco [153] and the purification of harmful substances through water filtration [83,149]. Studies also have suggested that youth believed hookah contained less nicotine [28,68], is less harmful than cigarettes in terms of oral health [65], and is less likely to cause cardiovascular diseases or dental problems [79].
There is either a lack or deficit of knowledge of the harmful consequences of hookah use [32,72,73,84,88,113,120,130]. Krenik-Matejcek et al. [113] confirmed this in their cross-sectional study conducted on 200 students in the USA and showed that the overall mean knowledge score regarding the health impacts of hookah use was only 4.4 questions correct out of 10 [113]. Al-Naggar and Bobryshev [68] indicated in a study conducted in Malaysia on 300 medical students that many participants believed that hookah contains no carbon monoxide or nicotine and does not contribute to lung cancer, cardiovascular diseases, or dental issues. According to Shuja et al. [75] and Krenik-Matejcek et al. [113], over 30% of the participants were unaware that hookah use was the reason for stained teeth, dental caries, bad taste, and halitosis [75] and that it can contribute to oral cancer [113].
Relaxation, fatigue relief, sensation, and trend: It was portrayed by various investigations that youth use hookah to smoke as a means for relaxing, relieving fatigue [10,38,74,93,105,113], managing stress and anxiety [9,38,46,74,156], and seeking pleasure and sensation [124,136,153,156]. Sharma et al. [153] performed in-depth, in-person, semi-structured qualitative interviews to assess the determinants of hookah use among 1517 fifteen to seventeen-year-old high school students and showed that one of the main reasons why youth smoke hookah had to do with the physiological effects commonly referred to as “buzz.” Literature also suggests that youth might be smoking hookah for fun, pleasure-seeking, and offering an alluring way to spend leisure time with others. According to Ghafouri et al. [4], 75.5% of hookah users indicated that fun was one of the main factors for continuing to smoke hookah. Moreover, studies have denoted that hookah’s growing popularity is one of the key predictors of its prevalence among youth and that they viewed hookah as stylish, cool, and trendy [38,74,91,111,155,157].
Flavor: Flavor is one of the main reasons hookah smoking is common among youth [54,88,158,159]. Youths smoke hookah due to the desirable taste and pleasant smell. Many enjoy the fruity flavors of hookah [71,97,149,160]. Aanyu et al. [97], for instance, denoted that 97.4% of the study population in Uganda smoked flavored and sweetened tobacco [97].
Social environment: The social environment was the strongest predictor of hookah smoking [73,80,149,150]. Youth indicated that they smoke hookah because of having a friend or family member who smokes hookah and/or as a means to spend leisure time or to socialize with friends [8,9,11,39,48,60,105]; many considered it to be socially acceptable [2,95,156,159]. The majority of youth have also stated that they share the same hookah during the smoking sessions [59,97,161]. Othman et al. [86] conducted a cross-sectional study on 3387 students in Sudan and denoted that having friends who smoke hookah was associated with higher odds of being a hookah smoker (OR 2.39). Jeihooni et al. [45] noted that youth continued using hookah due to the concern that its cessation might contribute to the loss of contact with friends [45].
Aside from friends, one of the main predictors of hookah smoking was having a family member who smokes hookah. Thus, youth are more likely to smoke if a parent, sibling, or a relative already smokes hookah. Al-Rawi et al. [95] suggested that having a smoker sibling led to an increase in the odds of being a smoker by 4.52 times. It is a common aspect of the culture in many regions around the world to smoke hookah among family and friends since it is more acceptable among parents than other forms of tobacco smoking [54,65,160,162]. Obeidat et al. [65] denoted that over 30% and 60% of male and female hookah smokers, respectively, stated that their parents were indifferent toward their use of hookah.
Intention, attitude, and self-efficacy:Studies overall have revealed that the majority of youth did not have the intention of quitting hookah smoking [57,87,98,116]. Bali et al. [37], however, indicated that around 61% of participants had made an attempt to quit smoking but restarted. According to Wong et al. [157], hookah users who have been smoking for less than 12 months were significantly more likely to have the intention to quit smoking compared to hookah users who have been smoking for 12 months or more.
Research also strongly indicated that having a positive attitude was positively associated with hookah smoking [48,72,102,108]. A positive attitude toward hookah use could be explained by the perception that hookah smoking is not as harmful as other smoking means and by the acceptance of hookah smoking by the family and culture. In addition to intention and attitude, low hookah refusal self-efficacy [47,51,135,143,163] and curiosity [9,74,80,84,92,98,150,164] have been shown to be the main predictors of hookah smoking.
Accessibility and smoking location:Cafes [37,58,59,65,71,152] and hookah lounges [36,73,112,122,123] were two of the most common locations for hookah smoking. Since hookah smoking is a social activity, such locations are common places where youth meet to socialize and spend leisure time. Studies also showed that other common places for hookah smoking included a friend’s house [10,14,87,100] or home [9,10,43,48,65,100,159]. The acceptability of hookah use by families paves the way for youth to smoke hookah at home.
Accessibility to hookah is, thus, one of the main determinants of hookah use among youth [13,58,88,123,150]. For instance, the presence of a hookah cafe near youth residences or schools was significantly associated with hookah smoking [13,58,123]. Kassem et al. [112] indicated that the odds of ever visiting a hookah lounge were 2.1 times higher among youth whose university campus was <5 miles away from a hookah lounge compared to those ≥5 miles away.
Policies/Ads: Very few studies examined the influence of laws/policies on hookah smoking among youth [86,98,143,160]. Azodi et al. [160] indicated that the “lack of enforcement of prohibiting laws about the use of hookah in public” was a significant cause for the increase in the prevalence of hookah smoking among youth. Furthermore, a few studies have suggested that exposure to advertisements was a predictor of hookah smoking [15,58,66,82,110,165]. However, Salloum et al. [166], Jawad et al. [98], and Jaber et al. [143] denoted that seeing warning labels and health warnings might have been protective against hookah smoking. Yet even with the rise in its popularity, there is a lack of media attention that is addressing this issue [165].
Discussion
Hookah smoking is mostly prevalent among youth from the Middle Eastern region [8,64,65,81,82,84,135], South Asia [36-38,71-75], USA [100-123,130-132], and various European countries [92-94,99]. Research on the predictors of hookah smoking suggests that age [76,77,80,99,138], the male gender [11,29,61,88,89,167], SES [39,168], Middle Eastern or South Asian ethnicity [9,58,83-85], cigarette smoking [34,39,44,67], other forms of substance use such as alcohol drinking [6,12,80,142,144,145], knowledge and beliefs on hookah’s harm and addiction [48,74,83,154,169], stress management [9,38,46,74,156], sensation seeking [2,124,156], hookah flavor [71,88,92,97,149,159], having friends and/or family members who smoke hookah [55,92,150,156,167], social acceptability [2,150,156,159,165], intention [57,87,98,116], positive attitude [48,80,102,108,116], low hookah refusal self-efficacy [47,51,135,143,163], curiosity [74,80,92,150], accessibility to cafes and hookah lounges [13,58,123], and lack of enforcement of prohibiting laws [160,165] were positively associated with hookah smoking among youth. Common assumptions regarding hookah smoking included that water in the waterpipe absorbed all the “impurities” in the tobacco [153], that harmful substances are purified through water filtration [83,149], that it contains less nicotine than other forms of smoking [28,68], and that it is less harmful than cigarettes in terms of oral [65] and cardiovascular [79] health.
Previous systematic/literature reviews, while not focused on youth, have also confirmed that a large spectrum of individual and social factors can predict hookah smoking including positive viewpoints toward smoking hookah, wrong beliefs about its harmfulness and addictiveness, sensation and relaxation seeking, ease of accessibility, wrong cultural habits, and a way to socialize and connect with others [18-21]. Moreover, parallel to our findings, Jawad et al. [20] indicated that hookah smoking was most prevalent in the Eastern Mediterranean. In this region, people smoke hookah as part of their tradition, for relaxation, and for connecting with others.
Targeting the high prevalence and increasing popularity of hookah smoking among youth is imperative since it is highly detrimental to health and can place smokers and those around them at serious health risks [16]. Contrary to what many individuals believe, smoking hookah, just like smoking cigarettes, is associated with various acute and chronic health effects since there are at least 82 toxic chemicals and carcinogens in hookah smoke [16]. Short-term use contributes to various dire health impacts including increased risk of infections, blood pressure, heart rate, and carbon monoxide intoxication and reduced pulmonary function. Long-term use impairs pulmonary function and leads to elevated risk of a variety of chronic diseases such as chronic obstructive pulmonary disease, cardiovascular disease, and various cancers including lung, esophageal, bladder, gastric, and oral cancers [16].
Youth perceive themselves as invincible, believe that their health is not easily compromised, and are highly adventurous and not very health conscious. It is thus critical to provide education to increase knowledge regarding the harmful health repercussions of hookah smoking, its addictiveness, and its chemical and carcinogen contents. Previous studies have suggested that educational interventions on hookah use among youth can successfully decrease the prevalence of hookah smoking [137,170] by enhancing self-efficacy [133,171], attitude, and intention to quit [134,170-172]. Comprehending and targeting the family's attitude, perception, and knowledge of hookah smoking is highly imperative [91] since they play a key role in influencing youth, introducing hookah smoking, and controlling their relationships and leisure time. Evidence suggests that family‐based interventions can have a positive impact on preventing youth from initiating smoking [173]. Furthermore, since youth are influenced by their peers, peer-to-peer prevention initiatives are recommended during which a few socially influential student leaders are selected and trained in communication skills and techniques, to effectively communicate with their peers about the harmful and addictive repercussions of hookah smoking [174]. Public health authorities should establish educational programs that reach youth in schools and universities. Teachers and faculty at schools should update their curriculum and include tobacco and hookah prevention programs to educate youth on the negative health consequences and addictive qualities of hookah smoking and discuss available prevention and treatment options for tobacco addiction [4]. University administrators should strongly advocate for reducing the prevalence of hookah use on and off their campuses [4]. Since hookah bars, lounges, and cafes are considered important sources of exposure to hookah smoking for youth, restricting access to such places should be considered [131,175]. A review of smoke-free laws indicated that many of the major US cities that prohibited cigarette smoking in bars had exemptions for hookah smoking [176]. Thus, strict regulations should be set for the access of hookah smoking for youth and for the production, distribution, marketing, and sales of hookahs [17].
To our knowledge, this review is the first to take a comprehensive approach to identifying peer-reviewed journal articles published globally that examine the prevalence and main determinants of hookah smoking among youth. However, most of the displayed findings were generated from cross-sectional investigations [2-15,28-129] which renders it challenging to assess causality and make robust conclusions. Findings from various longitudinal studies, nevertheless, also confirmed the high prevalence of hookah smoking among youth [107,130,131,135,136] and its main predictors such as co-addiction [135,145,177], SES, low refusal self-efficacy [135,143], positive attitude, knowledge on hookah’s harm [130], and the male gender [135,178].
Another limitation is the use of self-reported measures to assess and determine the prevalence and predictors of hookah smoking among youth. Social desirability bias could have thus impacted the findings of these investigations. Various studies did not use standardized or validated tools to estimate the prevalence of hookah smoking [4,58,60,113,119,130].
Nevertheless, their findings were consistent with other investigations that utilized pre-tested and validated instruments [13,49,81,89]. Moreover, several studies used a convenience sample from a single academic institution to assess hookah smoking prevalence which might have impacted the generalizability of the findings [37,89,93,96,157,162].
Our scoping review has limitations as well. First, we did not communicate with relevant experts to incorporate data from unpublished manuscripts and thus our review might be subjected to publication bias [179]. In addition, since we lacked access to databases such as Web of Science, we might have missed several articles published on this topic. Yet, by following inclusive search strategies, we made extensive efforts to identify and include all relevant published studies.
Future studies should attempt to assess hookah use longitudinally and select participants randomly from the community rather than through a convenience sample from a particular academic institution. This will lead to more robust conclusions regarding the cause-and-effect relationships between the different predictors and hookah use and will improve external validity [180]. Future studies should utilize instruments that have been tested for reliability and validity to examine the prevalence and predictors of hookah smoking. Self-reported hookah use should be verified with biochemical measures. Additional research should also examine the effect of policy changes and advertisements on hookah use and access among youth [181].
Conclusions
Hookah smoking is highly prevalent and has been rising in popularity among the youth worldwide. The scoping review showed that the main predictors of hookah use among youth include various intrapersonal and interpersonal factors such as the male gender and having friends and/or family members who smoke hookah, along with policy-level determinants including the lack of enforcement of prohibiting laws. Public health authorities, educators, and other stakeholders should implement educational interventions to enhance the knowledge level on hookah smoking’s harm and addiction and should target not only the individuals but also the family and the social environment. Strict regulations should be set to restrict access of youth to hookahs and for the production, distribution, marketing, and sales of hookahs.
Appendices
Table 2. References for the determinants of hookah smoking among youth.
| Determinants | References |
| Age | [3,5,6,13,35,49,62,66,68-70,76,77,80-83,88,97,99,126,138,139,182] |
| Gender | [5,6,11,14,29,39,40,44,49-51,55,59,61,64,69,71-74,76-78,80,83,86,88-90,94,98,99,118,120,123,125,127,128,131,138,139,142,167,168,178,183] |
| SES | [6,28,29,33,39,69,71,76,85,98,110,124,125,127,141-143,151,168] |
| Geographic region | [2-9,13,14,36-38,40-67,71-78,81-85,98,100-123,130-135,138] |
| Other addictive habits/substance abuse | |
| Cigarette smoking | [3,8,34,39,40,44,54,57,59,61,67,71,77,81,87-89,94,99,100,109-111,119,122,123,127,132,135,136,139,142,143,146,151,152,155,178,184] |
| Alcohol | [6,12,32,35,40,59,80,109,123,132,139,142,144,145,178] |
| Marijuana | [87,89,109,123,132,142,146,178] |
| Illicit drug use | [123,142] |
| Knowledge | |
| Less harmful than cigarettes | [4,10,28,33,36-38,48,65,69,71,79,81,83,84,88,89,92,109,119,122,123,132,149-151,153,156,160,161,165,166,169,182,185,186] |
| Less addictive than other forms of smoking | [4,10,60,69,74,79,83,92,109,152-156,164,169] |
| Lack of knowledge on hookah harm | [10,11,15,28,32,48,60,62,66,68,70,72,73,75,79,80,84,87,88,93,96,97,106,113,117,120,130,139,149,151,153,155-157,160,164-166,187,188] |
| Relaxation, fatigue relief, sensation, and trend | |
| Relaxation and fatigue relief | [4,10,35,38,45,74,93,105,113,153,178] |
| Stress and anxiety management | [9,38,46,74,156] |
| Pleasure and sensation seeking | [2,35,46,124,136,150,153,156,178] |
| Perception as trendy | [38,74,91,111,155,157] |
| Flavor | [54,71,88,91,92,97,149,158-160] |
| Social environment | [2,8-11,13,15,28,32,36,37,39,40,43,45,46,48,49,55,57-60,62,66,68,71,73,77,79,80,82,83,86,87,92,94-97,100,105,109,110,113,114,120-122,124,127,135,143,144,149,150,152-156,158-161,163-165,167] |
| Social acceptability | [2,58,60,87,95,113,121,150,153-156,159,165] |
| No intention of quitting hookah smoking | [42,45,57,87,98,116,157,161] |
| Attitude | [6,42,48,72,76,80,97,102,108,116,121,130,139] |
| Low hookah refusal self-efficacy | [47,51,135,143,163] |
| Curiosity | [9,74,80,84,92,98,150,164] |
| Accessibility and smoking location | |
| Cafes | [10,13,37,57-59,65,71,85,123,128,152,159,161] |
| Hookah lounges | [36,73,112,122,123] |
| Friend’s house | [10,14,87,100] |
| Home | [9,10,43,48,65,100,159] |
| Accessibility | [13,58,88,123,150] |
| Policies/Ads | [86,98,143,160] |
Disclosures
Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following:
Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work.
Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work.
Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Author Contributions
Concept and design: Tony Jehi , Anupama Joshi , Matthew Mutchler
Acquisition, analysis, or interpretation of data: Tony Jehi , Pamela Serban , Dania Matta , Archana Sharma
Drafting of the manuscript: Tony Jehi , Pamela Serban
Critical review of the manuscript for important intellectual content: Tony Jehi , Pamela Serban , Anupama Joshi , Dania Matta , Archana Sharma , Matthew Mutchler
Supervision: Tony Jehi , Pamela Serban , Anupama Joshi , Dania Matta , Archana Sharma , Matthew Mutchler
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