Abstract
Background
Waterpipe smoking has gained global popularity in recent years, especially among young people. However, there is a lack of empirical investigation into waterpipe smoking in East Asia. This study aimed to investigate the demographical and psycho-social characteristics and patterns of waterpipe smoking (WPS) among university students in Hong Kong.
Methods
A cross-sectional survey was conducted via online questionnaires administered to 1288 Hong Kong university students (mean age: 22.4 [SD = 3.8]). Logistic regressions were used to compute adjusted odd ratios (aOR) for waterpipe ever-smoking in relation to respondents’ characteristics. Moreover, multinomial logistic regression yielded adjusted RR (aRR) for four different smoking status (i.e., never, waterpipe-only, cigarette-only, and dual smoking) regarding the characteristics.
Results
23.8% of participants reported having ever smoked a waterpipe (vs. cigarette ever-smoking: 21.1%). Factors including being female (aOR:1.57; 95% CI: 1.22–2.02), older age (≥24 years: 4.17; 1.35–12.93), frequent alcohol consumption (>monthly: 26.02; 10.91–62.09), and higher sensation-seeking behaviours (high level: 2.98;1.46–6.08) were associated with waterpipe ever-smokers. The study also identified that demographical and psycho-social characteristics were variably associated with students’ smoking status. Particularly, more frequent alcohol consumption was most significantly associated with waterpipe-only smoking (aRR:45.73; 95% CI:11.44–182.73) (vs. cigarette-only smoking: 3.01; 1.76–5.14).
Conclusions
WPS is the most common form of tobacco smoking among university students in Hong Kong, and characteristics unique to the population were identified. There is no legislation of relevant policies on WPS despite its concerning significance in public health among young people, therefore immediate action to monitor and control WPS is needed in Hong Kong.
Keywords: Waterpipe smoking, Shisha, Hookah, University student, Prevalence, Young adult
Introduction
Waterpipe, also known as shisha and hookah, is a smoking device designed to generate tobacco smoke by placing lit charcoals on top of tobacco; the generated smoke then passes through water before the user inhales the smoke [1]. Contrary to the belief that waterpipe smoking (WPS) is safer than cigarette smoking (CS) because waterpipe smoke becomes purified as it passes through water, research has shown that waterpipe smoke contains just as many toxins as cigarette smoke. Therefore waterpipe smokers are exposed to the same health risks as cigarette smokers, such as acute and chronic respiratory and cardiovascular diseases [2–4]. However, compared to CS, waterpipe smokers are likely to inhale greater volumes of tobacco smoke due to longer smoking sessions and the use of charcoal, which further increases the levels of carbon monoxide and carcinogens in waterpipe smoke [5].
Despite the health risks, WPS has gained much popularity in many regions including the Eastern Mediterranean, North American, and European regions, especially with young people [6–9]. A recent systematic review reported that the prevalence of ever-WPS among youths ranged from 12.9 to 65.3% in the Eastern Mediterranean, from 3 to 44% in North America, and from 12.0 to 49.5% in Europe [9]. This is mainly due to several features of waterpipe smoking, including the introduction of sweet and aromatic flavours to tobacco for WPS [10, 11], peer influence [12], facilitated socialisation and social activity [2, 10, 11], the sense of belongingness and social inclusion [5, 10], online marketing strategies of WPS [13], the lack of waterpipe-specific regulations and policies [10, 11], and the misconception of WPS with regard to health [1]. In Hong Kong (HK), WPS is popular as evidenced by an increasing number of waterpipe establishments in busy city areas that are full of HK local customers, and the increasing media reports [14, 15]. Moreover, local studies [16, 17] reported that waterpipe was the second most popular tobacco product following cigarettes among adolescents in HK (1.2% current waterpipe smokers) and stressed the importance of continued surveillance of WPS in HK. However, there has been no WPS study on young adults in HK.
Despite the increasing popularity of WPS, published reports of the WPS global epidemiology [8–10, 18] have only covered the Eastern Mediterranean and North America regions, while the epidemiology in East Asia, including China, Korea, and Japan, which represent the second-largest population in the world following South Asia, is currently absent in the reports. It would be difficult to apply the research findings directly from the Eastern Mediterranean and North America regions to the East Asian regions, as the epidemiological characteristics and patterns of tobacco smoking including WPS differ among ethnic and/or socio-cultural groups [19–21]. Similarly, the World Health Organization [1] has urged researchers to conduct more WPS studies across regions with consideration for the cultural influence on WPS [1].
Moreover, WPS is influenced by psychosocial factors [5]. Specifically, sensation-seeking behaviour (SSB) is known as a predictor for problematic risk-taking behaviours such as substance use, smoking (including WPS), and problematic alcohol drinking [22, 23]. Loneliness is also known as a contributor to young people’s smoking behaviour [24]. Particularly, it has been hypothesised that WPS would likely be associated with loneliness as people can gain a sense of belonging and social inclusion through WPS [1, 2, 10]. However, there is a dearth of research exploring and defining the association between young people’s WPS and their levels of SSB and loneliness.
Therefore, this research on WPS in East Asia aimed to 1) investigate the demographical characteristics and patterns of WPS among university students in HK; 2) compare demographic characteristics between non-smokers, waterpipe-only ever-smokers, cigarette-only ever-smokers, and dual ever-smokers (i.e., waterpipe and cigarette); and 3) determine the associations of WPS and psychosocial factors.
Methods
Study design and sampling
A cross-sectional survey was conducted. All eight public universities funded by the University Grants Committee and form the major higher education institutions in HK were invited to collaborate with the study. One university declined the invitation due to their academic schedule. Each of the remaining seven universities’ Student Affairs or related administration department was asked to send the survey website link to enrolled students through registered student emails. This was sent as one bulk email to all students (total around 126,549 students, according to the universities’ reports) in April 2018 to reduce the burden of multiple bulk emails. The invitation email included general information about this study, such as details about the aim and incentive (i.e., Five participants randomly selected through lucky draw would receive HK$500 each [US$ 1 = HK$ 7.82] as a participation incentive). The participant inclusion criteria were: 1) currently registered as a student in a HK public university, 2) current HK resident, 3) English-speaking (main language of instruction in HK universities). The exclusion criteria were: 1) aged 17 years or younger, and 2) overseas exchange students.
Five thousand two hundred forty-three students visited the survey introduction website, and 1288 university students (331, 280, 247, 156, 105, 92, and 77 students from each university respectively) went on to participate in the survey after reading and agreeing to the consent form (response rate among all website visitors: 24.6%).
Measurements
Demographic and WPS pattern
Demographic characteristics including gender, age, monthly household income, and degree pursued were collected. If participants had ever smoked a waterpipe, their patterns of WPS were surveyed (e.g., WPS initiation date, frequency of WPS during the last 12 months, length of an WPS session, reasons for WPS, places of WPS, WPS with alcohol drinking, and perceived addiction to WPS; Table 2). In addition to WPS, CS status (i.e., ever CS or never CS) and its initiation date were also noted. Participants also reported their frequency of alcohol consumption (never, once a month or less, more than monthly).
Table 2.
Ever-smoked waterpipe (n = 306) | |
---|---|
Frequency of WPS in past 12 months, n (%) | |
Once a year or less | 172 (56.2) |
2–6 times | 89 (29.1) |
7–12 times | 27 (8.8) |
13–24 times | 8 (2.6) |
24–48 times | 10 (3.3) |
Length of an WPS session, n (%) | |
Within one hour | 93 (30.4) |
1–2 h | 146 (47.7) |
2–3 h | 57 (18.6) |
3 or more hours | 10 (3.3) |
Expense on WPS, n (%) | |
Less than HK$200 a | 131 (42.8) |
HK$200-HK$299 | 103 (33.7) |
HK$300-HK$399 | 49 (16.0) |
HK$400-HK$499 | 11 (3.6) |
HK$500 or more | 12 (3.9) |
Reason for WPS, n (%)b | |
Socialising | 253 (82.7) |
Curiosity | 215 (70.3) |
Enjoy the taste/smell | 147 (48.0) |
Feeling relaxed | 84 (27.5) |
Good with alcohol | 74 (24.2) |
Less harsh than cigarette smoke | 47(15.4) |
Feeling high | 36 (11.8) |
Craving of waterpipe | 5 (1.6) |
Helping to quit smoking | 3 (1.0) |
Others | 9 (2.9) |
Accompany with WPS, n (%)b | |
Friends | 296 (96.7) |
Family | 10 (3.3) |
Alone | 7 (2.3) |
Others | 4 (1.3) |
Location of WPS, n (%)b | |
Regular bar | 203 (66.3) |
Waterpipe bar | 175 (57.3) |
Restaurant | 29 (9.5) |
Other home | 20 (6.5) |
Own home | 16 (5.2) |
Others | 11 (3.6) |
Alcohol consumption with WPS, n (%) | |
Never | 40 (13.1) |
Rarely | 67 (21.9) |
Sometimes | 79 (22.9) |
Very often | 49 (16.0) |
Always | 80 (26.1) |
Perceived addiction to WPS, n (%) | |
No | 293 (95.8) |
Yes | 13 (4.2) |
Likelihood of stopping WPS, median (IQR) | 10 (9–10) |
Key: a US$ 1 = HK$ 7.82; b respondents may give more than one response to item
Brief sensation-seeking scale (BSSS)
The BSSS is shortened version of the 40-question Sensation Seeking Scale that measures the level of risk-taking behaviours, and has 8 questions [25]. The overall score of BSSS ranges from 8 to 40. Subjects with higher BSSS scores are more likely to seek risk-taking behaviours such as tobacco smoking than those of lower BSSS scores. The BSSS presented 0.76 internal consistency and reported construct validity [25]. It has been used for tobacco and alcohol studies with young adults [26], and has also been validated with the Chinese population [27]. We used the BSSS to measure the respondents’ risk-taking behaviours regarding WPS. The internal consistency of BSSS in this study was 0.82.
UCLA loneliness scale
We investigated the students’ level of loneliness using a short form of UCLA loneliness scale. The scale consists of three items ranging total score from 3 to 9, and reported 0.72 for internal consistency and both convergent and discriminant validity [28]. A score of ≥6 indicates that respondents feel lonely [29]. The UCLA loneliness scale was validated with Chinese adolescents [30]. The internal consistency of loneliness scale in this study was 0.81.
Statistical analysis
Descriptive statistics were reported in proportions or means and standard deviations (SD). Median and interquartile ranges (IQR) were presented for skewed data. In those that reported trying WPS at least once (i.e., ever-users of waterpipe), descriptive characteristics of WPS behaviour were reported (i.e., patterns of WPS). To clarify differences between smoking behaviours, demographic and other descriptive statistics were compared between four smoking behaviour groups (never smoked, only ever smoked waterpipe, only ever smoked cigarettes, and ever smoked both cigarettes and waterpipe). Logistic regression yielded odd ratios (OR) and adjusted OR (aOR) for WPS (a binary variable). Multinomial logistic regression yielded risk ratios (RR) and adjusted RR (aRR) for four different smoking behaviours in relation to respondents’ characteristics. As WPS risk factors differed by gender in existing studies [11], we added interaction terms to test if gender modifies the association of alcohol consumption and psychosocial factors (i.e., SSB and loneliness) with ever use of waterpipe. Sensitivity analysis was also conducted through multiple imputation using chained equation to handle missing values [31].
Results
Overall, 872 (67.7%) respondents were female, 897 (82.5%) were undergraduate students, 397 (42.4%) had a monthly household income between HK$20,000 and HK$49,999, and the mean age of respondents was 22.4 (SD = 3.8) years (Table 1). Among all respondents, 306 (23.8%) had ever used a waterpipe.
Table 1.
All respondents | Never smoked | Ever smoked | p value | |
---|---|---|---|---|
Total, n (%) | 1288 | 982 (76.2) | 306 (23.8) | |
Gender, n (%) | 0.091 | |||
Males | 416 (32.3) | 315 (32.1) | 101 (33.0) | |
Females | 872 (67.7) | 667 (67.9) | 205 (67.0) | |
Age, n (%) | < 0.001 | |||
18–19 years | 183 (14.3) | 164 (16.7) | 19 (6.2) | |
20–21 years | 463 (36.1) | 364 (37.2) | 99 (32.4) | |
22–23 years | 345 (26.8) | 257 (26.3) | 88 (28.8) | |
24 year or older | 293 (22.8) | 193 (19.7) | 100 (32.7) | |
- Age, mean (SD) | 22.4 (3.8) | 22.1 (3.7) | 23.2 (3.9) | < 0.001 |
- Initiation age, mean (SD) | – | – | 20.2 (3.6) | |
Household income, n (%)a | < 0.001 | |||
HK$19,999 or below | 425 (45.4) | 339 (47.3) | 86 (39.3) | |
HK$20,000 - HK$49,999 | 397 (42.4) | 308 (43.0) | 89 (40.6) | |
HK$50,000 or above | 114 (12.2) | 70 (9.7) | 44 (20.1) | |
Education level, n (%) | 0.217 | |||
Undergraduate | 897 (82.5) | 707 (83.3) | 190 (79.8) | |
Postgraduate | 190 (17.5) | 142 (16.7) | 48 (20.2) | |
Alcohol consumption, n (%) | < 0.001 | |||
Never | 337 (26.2) | 323 (32.9) | 14 (4.6) | |
Once a month or less | 663 (51.5) | 536 (54.6) | 127 (41.5) | |
More than monthly | 288 (22.4) | 123 (12.5) | 165 (53.9) | |
Sensation-seeking behaviour, n (%) | < 0.001 | |||
Low (8–18) | 315 (24.5) | 282 (28.7) | 33 (10.8) | |
Medium (19–29) | 834 (64.8) | 629 (64.1) | 205 (67.0) | |
High (30–40) | 139 (10.8) | 71 (7.2) | 68 (22.2) | |
Loneliness, n (%) | 0.009 | |||
Not lonely | 520 (40.4) | 377 (38.4) | 143 (46.7) | |
Lonely (≥6) | 768 (59.6) | 605 (61.6) | 163 (53.3) |
Among ever-waterpipe users (n = 306), more than half (56.2%) used it once a year or less, and the majority (96.7%) smoked waterpipe with friends (Table 2). Generally, each user spent less than HK$ 200 (42.8%) or HK$200 - HK$299 (33.7%) for one waterpipe session, and the length of each session was either less than 1 h (30.4%) or 1–2 h (47.7%). Waterpipes were usually available in both regular bars (66.3%) and waterpipe bars (57.3%), and were usually accompanied by alcohol consumption (86.9%). Users perceived that they were not addicted to WPS (95.8%) and could easily stop using it (score 10 of 10, IQR 9–10).
The factors of being female (aOR1.57, 95% CI 1.22–2.02), older age (20–21 years: aOR 2.48, 95% CI 1.07–5.72; 22–23 years: aOR 3.05, 95% CI 1.43–6.09; ≥24 years: aOR 4.17, 95% CI 1.35–12.93), drinking (monthly or less: aOR 5.10, 95% CI 2.30–11.30; more than monthly: aOR 26.02, 95% CI 10.91–62.09), and medium (aOR 1.63, 95% CI 1.08–2.46) or high (aOR 2.98, 95% CI 1.46–6.08) SSBs were positively associated with ever use of waterpipe. Although the adjusted model was not significant, loneliness level was negatively associated with WPS in the crude model (OR 0.71, 95% CI 1.08–2.46) (Table 3). Additionally, the interactions between gender and alcohol consumption, SSBs, loneliness level were all not statistically significant (all p > 0.05, data not shown in tables).
Table 3.
Odd Ratio (OR) (95% CI) | ||
---|---|---|
Crude | Adjusted b | |
Gender | ||
Males | REF | REF |
Females | 0.96(0.78–1.17) | 1.57(1.22–2.02)*** |
Age | ||
18–19 years | REF | REF |
20–21 years | 2.35(1.18–4.68)* | 2.48(1.07–5.72)* |
22–23 years | 2.96(1.43–6.09)** | 3.05(1.01–9.22)* |
24 year or older | 4.47(1.77–11.32)** | 4.17(1.35–12.93)* |
Household incomea | ||
HK$19,000 or below | REF | REF |
HK$20,000–$49,999 | 1.14(0.69–1.89) | 0.87(0.52–1.45) |
HK$50,000 or above | 2.48(1.26–4.88)** | 1.32(0.55–3.15) |
Qualification of study | ||
Undergraduate | REF | REF |
Postgraduate | 1.26(0.83–1.90) | 0.82(0.43–1.55) |
Alcohol consumption | ||
Never | REF | REF |
Once a month or less | 5.47(2.78–10.77)*** | 5.10(2.30–11.30)*** |
More than monthly | 30.95(16.33–58.67)*** | 26.02(10.91–62.09)*** |
Sensation-seeking behaviour | ||
Low (8–18) | REF | REF |
Medium (19–29) | 2.79(2.15–3.61)*** | 1.63(1.08–2.46)*** |
High (30–40) | 8.18(6.13–10.93)*** | 2.98(1.46–6.08)*** |
Loneliness | ||
Not lonely | REF | REF |
Lonely (≥6) | 0.71(0.53–0.96)* | 0.74(0.47–1.16) |
Key: a US$ 1 = HK$ 7.82; b Adjusted for all variables listed in the table (i.e., gender, age, household income, qualification of study, alcohol consumption, sensation-seeking behaviour and loneliness); *p < 0.05, **p < 0.01, ***p < 0.001
Different demographical and other descriptive characteristics between the four smoking behaviour groups were identified, shown in Table 4. Moreover, some characteristics were differently associated with each group (Table 5). Waterpipe-only group showed similar associations with ever use of waterpipe, other than age variables. In cigarette-only users, being older and having higher SSBs, and being a postgraduate student (aRR 2.77, 95% CI 1.42–5.41) had increased risk of ever-cigarette use, while being female (aRR 0.62, 95% CI 0.45–0.84) and having a higher household income (HK$50,000 or above: aRR 0.34, 95% CI 0.16–0.72) had decreased risk of ever-cigarette use (all p < 0.05). Although alcohol consumption was positively associated with both cigarette-only and waterpipe-only users, much lower risk was identified with cigarette-only users (more than monthly: aRR 3.49, 95% CI 2.29–5.33). Moreover, feeling lonely was also associated with cigarette-only users in the crude model (RR 1.43, 95% CI 1.13–1.82). Older age, greater alcohol consumption, and higher SSBs also increased the aRRs in dual smokers (all p < 0.05). Results from the multiple imputations were generally similar (Additional files 1 and 2).
Table 4.
Never smoked | Waterpipe only | Cigarette only | Dual smoking | p value | |
---|---|---|---|---|---|
Total, n (%) | 876 (68.0) | 140 (10.9) | 106 (8.2) | 166 (12.89) | |
Gender, n (%) | 0.010 | ||||
Males | 277 (31.6) | 33 (23.6) | 38 (35.9) | 68 (41.0) | |
Females | 599 (68.4) | 107 (76.4) | 68 (64.1) | 98 (59.0) | |
Age, n (%) | < 0.001 | ||||
18–19 years | 155 (17.8) | 12 (8.6) | 9 (8.6) | 7 (4.2) | |
20–21 years | 344 (39.4) | 54 (38.6) | 20 (19.1) | 45 (27.1) | |
22–23 years | 227 (26.0) | 44 (31.4) | 30 (28.6) | 44 (26.5) | |
24 year or older | 147 (16.8) | 30 (21.4) | 46 (43.8) | 70 (42.2) | |
- Age, mean (SD) | 21.9 (3.5) | 22.3 (2.6) | 24.1 (4.7) | 24.0 (4.6) | < 0.001 |
- Initiation age, mean (SD) | – | 19.9 (2.4) | 17.2 (5.1) | 20.5 (4.3)b/18.8 (4.0)c | |
Household income, n (%)a | < 0.001 | ||||
HK$19,999 or below | 288 (45.5) | 40 (39.2) | 51 (60.7) | 46 (39.3) | |
HK$20,000 - HK$49,999 | 282 (44.6) | 40 (39.2) | 26 (31.0) | 49 (41.9) | |
HK$50,000 or above | 63 (10.0) | 22 (21.6) | 7 (8.3) | 22 (18.8) | |
Qualification of study, n (%) | < 0.001 | ||||
Undergraduate | 652 (86.1) | 100 (87.7) | 55 (59.8) | 90 (72.6) | |
Postgraduate | 105 (13.9) | 14 (12.3) | 37 (40.2) | 34 (27.4) | |
Alcohol consumption, n (%) | < 0.001 | ||||
Never | 301 (34.4) | 5 (3.6) | 22 (20.8) | 9 (5.4) | |
Once a month or less | 477 (54.5) | 76 (54.3) | 59 (55.7) | 51 (30.7) | |
More than monthly | 98 (11.2) | 59 (42.1) | 25 (23.6) | 106 (63.9) | |
Sensation-seeking behaviour, n (%) | < 0.001 | ||||
Low (8–18) | 264 (30.1) | 17 (12.1) | 18 (17.0) | 16 (9.6) | |
Medium (19–29) | 560 (63.9) | 101 (72.1) | 69 (65.1) | 104 (62.7) | |
High (30–40) | 52 (5.9) | 22 (15.7) | 19 (17.9) | 46 (27.7) | |
Loneliness, n (%) | 0.021 | ||||
Not lonely | 344 (39.3) | 68 (48.6) | 33 (31.1) | 75 (45.2) | |
Lonely (≥6) | 532 (60.7) | 72 (51.4) | 73 (68.9) | 91 (54.8) |
Key: a US$ 1 = HK$ 7.82; b Waterpipe; c Cigarette
Table 5.
Waterpipe only | Cigarette only | Dual smoking | ||||
---|---|---|---|---|---|---|
Relative risk ratio (RR) (95% CI) | Relative risk ratio (RR) (95% CI) | Relative risk ratio (RR) (95% CI) | ||||
Crude | Adjusted b | Crude | Adjusted b | Crude | Adjusted b | |
Gender | ||||||
Males | REF | REF | REF | REF | REF | REF |
Females | 1.50(1.05–2.14)* | 1.92(1.14–3.22)* | 0.83(0.64–1.07) | 0.62(0.45–0.84)** | 0.67(053.-0.83)*** | 1.11(0.85–1.45) |
Age | ||||||
18–19 years | REF | REF | REF | REF | REF | REF |
20–21 years | 2.03(1.18–3.48)* | 1.91 (0.91–3.97) | 1.00(0.61–1.65) | 0.87(0.43–1.76) | 2.90(1.04–8.06)* | 3.59(1.03–12.54)* |
22–23 years | 2.50(1.50–4.17)*** | 2.48(1.09–5.65)* | 2.28(0.88–5.87) | 2.19(1.20–3.98)* | 4.29(1.35–13.68)* | 5.22(0.88–31.10) |
24 year or older | 2.64(1.07–6.48)* | 2.53(0.94–6.82) | 5.39(2.72–10.67)*** | 2.26 (1.26–4.07)** | 10.54(3.51–31.69)*** | 9.28(2.03–42.44)** |
Household incomea | ||||||
HK$19,000 or below | REF | REF | REF | REF | REF | REF |
HK$20,000–$49,999 | 1.02(0.59–1.78) | 0.78(0.47–1.29) | 0.52(0.36–0.76)** | 0.51(0.37–0.72)*** | 1.09(0.61–1.95) | 0.77(0.43–1.38) |
HK$50,000 or above | 2.51(1.25–5.07)* | 1.40(0.55–3.55) | 0.63(0.35–1.13) | 0.34(0.16–0.72)** | 2.19(1.08–4.41)* | 0.83(0.28–2.44) |
Qualification of study | ||||||
Undergraduate | REF | REF | REF | REF | REF | REF |
Postgraduate | 0.87(0.42–1.78) | 0.71(0.26–1.96) | 4.18(3.25–5.36)*** | 2.77(1.42–5.41)** | 2.35(1.60–3.44)*** | 1.35(0.64–2.84) |
Alcohol consumption | ||||||
Never | REF | REF | REF | REF | REF | REF |
Once a month or less | 9.59(3.75–24.56)*** | 13.98(4.42–45.24)*** | 1.69(1.16–2.46)** | 1.70(0.97–2.99) | 3.58(1.64–7.77)** | 2.59(1.11–6.01)* |
More than monthly | 36.24(15.03–87.38)*** | 45.73(11.44–182.73)*** | 3.49(2.29–5.33)*** | 3.01(1.76–5.14)*** | 36.17(18.75–69.78)*** | 25.66(10.74–61.32)*** |
Sensation-seeking behaviour | ||||||
Low (8–18) | REF | REF | REF | REF | REF | REF |
Medium (19–29) | 2.80(1.87–4.19)*** | 1.72(1.13–2.62)* | 1.81(1.13–2.89)* | 1.36(0.63–2.93) | 3.06(2.47–3.80)*** | 1.64(1.02–2.64)* |
High (30–40) | 6.57(4.29–10.06)*** | 2.79(1.49–5.24)** | 5.36(3.33–8.63)*** | 3.58(1.38–9.27)** | 14.60(9.28–22.96)*** | 4.82 (1.81–12.88)** |
Loneliness | ||||||
Not lonely | REF | REF | REF | REF | REF | REF |
Lonely (≥6) | 0.68(0.43–1.10) | 0.77(0.52–1.16) | 1.43(1.13–1.82)** | 1.37(0.76–2.49) | 0.78(0.59–1.04) | 0.78(0.42–1.44) |
Key: a US$ 1 = HK$ 7.82; b Adjusted for all variables listed in the table (i.e., gender, age, household income, qualification of study, alcohol consumption, sensation-seeking behaviour and loneliness); *p < 0.05, **p < 0.01, ***p < 0.001
Discussion
To the best of our knowledge, this study offers the first evidence of the demographical characteristics and patterns of WPS in East Asia as well as the association of WPS with psychosocial factors and alcohol consumption among university students in multiple institutions in HK.
Demographic characteristics of WPS
This research reported that the prevalence of ever-WPS was 23.8%, while the prevalence of ever-tobacco smoking (i.e., WPS and/or CS) was 32.0% among the respondents in HK. The ever-WPS prevalence in United States (US) studies ranged between 15.1 and 41% (mean: 30.3%) among university students [11] and 3 and 44% (mean 18.2%) among youth - defined by the United Nations as persons aged 15–24 years [9]. In some Middle Eastern countries like Iran, where WPS is more socially acceptable than in other regions, ever-WPS prevalence rates were higher than that of US studies (42.5% in Iran) [32]. Although the prevalence of WPS among university students in US was slightly higher than that of HK, WPS in the US was the second most popular form of smoking after CS [11]. In contrast, we reported that the prevalence of ever-WPS was higher than the ever-CS prevalence (21.1%: cigarette-only smoking 8.2% and dual smoking 12.9%), which is similar to the rates commonly reported in Middle Eastern studies such as Lebanon [33], Jordan [34] and Syria [35]. Due to governmental and social efforts toward tobacco control, HK achieved the lowest daily CS prevalence ever (10.0%) in 2017 [36], and has one of lowest prevalences of CS in the world [37]. However, WPS control has received less attention, and tobacco control counterparts have been less aware of the popularity of WPS as an alternative to CS in HK [16]. Such conditions result in a higher WPS prevalence than CS among university students in HK.
Female CS prevalence in HK has consistently been lower than most developed Western countries [37]. Li, et al. [38] attributed this to the strong social bias regarding female smokers in HK. We also identified that females are negatively associated with cigarette-only smoking. Being female, however, was positively associated with waterpipe smoking. It is also contrary to the existing WPS studies in both Western and Middle East countries that reported male students being more likely to smoke waterpipe than female students in the same countries [11, 32, 39]. It can be deduced that different social circumstances and dynamics surrounding WPS and CS (e.g., social acceptance of female WPS) would influence female WPS prevalence. Qualitative approaches will be required to identify the dynamics that are absent in the current knowledge base.
Psychosocial characteristics of WPS
Socialisation was identified as the top reason for WPS in US (56%) and Iran (65.3%) studies [40, 41]. In this study, the major motives for WPS were generally similar to the above studies, namely socialisation (82.7%). It was also established that WPS is a social activity as a significant number of waterpipe users smoked waterpipe with others. An Iranian study demonstrated that university students smoked waterpipe with not only their friends (63%), but also siblings (61.9%) and parents (58.4%) [32]. The students in HK, however, had mostly smoked waterpipe with their friends or acquaintances (96.7%), rather than with their family (3.3%) to seek socialisation. Chinese culture is more collectivistic than their more individualistic Western counterparts [42]. In a collectivistic culture, engaging in a group activity plays an important part to one’s relationships with others within the group and their sense of belonging to the group [43]. This can be interpreted to indicate that HK students would more strongly seek membership within a peer group they are already affiliated to due to the collectivistic culture in HK. Additionally, according to collectivistic cultural values and the importance of social hierarchy, they would be reluctant to smoke WPS with their family members because they (particularly female waterpipe smokers) believe that smoking with their parents or with persons of higher social positions would be immoral and impudent [44, 45].
Similar to another study [46], we identified that cigarette users were positively associated with a perceived loneliness level. However, the ever-WPS group reported a negative association with loneliness level and the waterpipe-only group presented the lowest proportion of loneliness in this research. Primack, et al. [47] found that WPS was less associated with mental health problems (e.g., depression and anxiety) than CS. As such waterpipe smokers may feel less lonely than cigarette smokers because WPS is a social activity. We also identified that all smoking forms had positive associations with SSB, but that dual smokers showed the highest SSB. Heinz, et al. [5] asserted that one SSB is often related to other SSBs. WPS studies [17, 32, 39, 48, 49] found that WPS is significantly associated with CS or cigarette smoking susceptibility, as one tobacco smoking behaviour can be the gateway to smoking other types of tobacco. As the initiation age of cigarette smoking (i.e., 18.8 years) was earlier than waterpipe smoking (i.e., 20.5 years) in the dual smoking group in this study (Table 4), CS may play a gateway role in WPS. Further research is required to examine the relationship, however.
In addition to CS, a study reported that alcohol consumption was associated with WPS [39]. This is in parallel with a finding from this research, that the majority of ever-waterpipe smokers reported that they tended to smoke waterpipe while also drinking alcohol. The most popular sites for WPS among the ever-waterpipe users in HK were bars (regular bars: 66.3% and waterpipe bars: 57.3%). Particularly, waterpipe-only users showed much higher associations with alcohol consumption than those in the cigarette-only group. Existing studies indicated that the combination of CS with alcohol drinking will lead to increased risk of brain damage and increased mortality rate [50–54]. As waterpipe smoke contains as many toxins, it can be deduced that WPS with alcohol drinking may have a similar or more serious health impact than CS with alcohol drinking. However, to date, only a few studies have explored the relationship between WPS and alcohol consumption. Further WPS studies that focus on alcohol drinking are also recommended.
In HK bars, including those specialising in waterpipe, customers must order at least one item from the food and beverage menu in addition to the waterpipe. Therefore, the total cost of a WPS session is usually higher than the cost of a single waterpipe. We found that most ever-waterpipe smokers spent HK$200 (approximately US$26) or more for a single WPS session, which is more expensive than one pack of cigarettes (e.g., 1 pack of Marlboro cigarettes = HK$59) and considerably expensive for students. Corresponding to this, we also found that a high household income (HK$50,000 or above) was more positively associated with WPS (i.e., ever-waterpipe and waterpipe-only user groups). Conversely, high household income was negatively associated with the cigarette-only user group. However, a US study [11] argued that WPS is relatively inexpensive, which can be attributed to the difference in patterns of WPS between HK and other counties. Lipkus, et al. [6] reported that university students in the US typically smoked waterpipe at home or in student accommodations (46.4%), while only 5.2 and 6.5% of the HK students in this research smoked waterpipe at their own or others’ homes, respectively. As HK students mostly smoked waterpipe at bars or restaurants, they get charged per session and inevitably spend more money than US students.
Lastly, 96% of the respondents of this research who had ever smoked waterpipe in this research perceived the addiction risk of WPS positively. They were also confident about their ability to stop WPS as they wished. A literature review [18] reported that high proportions of waterpipe smokers in universities in both the Middle Eastern and Western countries (ranging between 79 and 98%) were highly confident about stopping WPS at any time they want, which is similar to the finding in this research. However, WPS is actually associated with a high risk of addiction [55], due to highly-addictive substances like nicotine in waterpipe tobacco and smoke [56, 57]. Despite the smokers’ confidence in being free from WPS addiction, they are undoubtedly exposed to a high chance of addiction.
Implication
We have discovered that HK is not free from the global popularity of WPS (23.8% waterpipe ever smoking among HK university students). Thus, there is an urgent need to monitor and control the WPS trend within the HK population.
As most students initiated WPS during their university education (mean age: 20.2 years), WPS prevention education including education on WPS health risks should be developed and delivered to the students upon entry to university or at pre-university level. Moreover, given the association of WPS with CS and alcohol drinking, the existing CS and alcohol drinking prevention and cessation programme will need to be reviewed to include further information on the compounded health risks with the addition of WPS.
We also identified that bars were the most popular place for WPS. Particularly, the popularity and demand of waterpipe in HK can be inferred, as students can easily smoke waterpipe in mainstream bars in addition to waterpipe bars in HK. However, specific regulations for WPS in the bars are absent in HK and many other countries [1]. More seriously, most bars in HK allow indoor WPS, although it is illegal. Due to the indoor WPS, waterpipe smokers and staff in the bars are exposed to serious health conditions due to first-, second-, and third-hand smoking. Hence, the government’s surveillance of indoor WPS should be reinforced.
Limitation
This research has several limitations. We adopted a cross-sectional survey; hence, causality should not accordingly be inferred in the results. We recruited participants from 7 universities in HK, but the participants were not necessarily a representative sample of university students or all young adults. We conducted an online survey by sending a bulk invitation to the students’ university email accounts. This method can cause the issue of multiple responses from one participant. To address multiple responses, we collected the first four digits of each respondent’s national identification number. Moreover, sampling bias can be caused by the online survey method. Therefore, further studies recruiting more representative sample participants from the same population as this study will be useful to warrant our findings [58]. The results were based on participants’ self-report, which would be subject to social desirability and recall biases. Despite these limitations, the findings of this research will provide important information regarding the WPS situation in East Asia to guide further WPS studies.
Conclusion
Our findings highlighted that WPS is the most common form of tobacco smoking among university students in HK and has unique demographical and psychosocial characteristics that differ from those of the countries in which WPS is popular.
Because WPS among students has become a significant public health concern, policymakers, healthcare professionals, and researchers should take immediate action to extensively monitor and control this practice. As the demographical characteristics and patterns of WPS can be differentiated by socio-cultural group, more local and international studies are also required for the development of more effective strategies to address WPS.
Supplementary information
Acknowledgements
The authors would like to thank Dr. Daniel Yee Tak Fong, University of Hong Kong, and Dr. Sook Ching Yang, Royal Infirmary of Edinburgh, for their constructive feedback regarding this manuscript.
Abbreviations
- aOR
Adjusted odd ratios
- aRR
adjusted risk ratios
- BSSS
Brief sensation-seeking scale
- CI
Confidence Interval
- CS
Cigarette smoking
- HK
HongKong
- IQR
Interquartile ranges
- OR
Odd ratios
- RR
Risk ratios
- SSB
Sensation-seeking behaviour
- SD
Standard deviations
- US
United States
- WPS
Waterpipe smoking
Authors’ contributions
JJL contributed to the study design, data acquisition and analysis, and to the drafting of the manuscript. MPW, YW, JYHW, RS contributed to the analysis, draft and critical revision of the manuscript. KCYY contributed to the study design, data acquisition, and to the drafting of the manuscript. All authors read and approved the final manuscript.
Funding
Not applicable.
Availability of data and materials
The datasets generated and analysed during the current study are not publicly available because the datasets are currently used for another project, but are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
We obtained ethical approval from the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster (UW17–510). Informed consent was received in electronic from each participant.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Jung Jae Lee, Email: leejay@hku.hk.
Yongda Wu, Email: yongdang@hku.hk.
Man Ping Wang, Email: mpwang@hku.hk.
Karly Cheuk-Yin Yeung, Email: karlyyeung@gmail.com.
Janet Yuen-Ha Wong, Email: janetyh@hku.hk.
Robert Smith, Email: robsmith@hku.hk.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12889-020-08686-6.
References
- 1.World Health Organization . Advisory note: Waterpipe tobacco smoking: Health effects, research needs and recommended actions for regulators. 2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Lopez AA, Eissenberg T, Jaafar M, Afifi R. Now is the time to advocate for interventions designed specifically to prevent and control waterpipe tobacco smoking. Addict Behav. 2017;66:41–47. doi: 10.1016/j.addbeh.2016.11.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Schubert J, Heinke V, Bewersdorff J, Luch A, Schulz TG. Waterpipe smoking: the role of humectants in the release of toxic carbonyls. Arch Toxicol. 2012;86(8):1309–1316. doi: 10.1007/s00204-012-0884-5. [DOI] [PubMed] [Google Scholar]
- 4.El-Zaatari ZM, Chami HA, Zaatari GS. Health effects associated with waterpipe smoking. Tob Control. 2015;24(1):i31–i43. doi: 10.1136/tobaccocontrol-2014-051908. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Heinz AJ, Giedgowd GE, Crane NA, Veilleux JC, Conrad M, Braun AR, Olejarska NA, Kassel JD. A comprehensive examination of hookah smoking in college students: use patterns and contexts, social norms and attitudes, harm perception, psychological correlates and co-occurring substance use. Addict Behav. 2013;38(11):2751–2760. doi: 10.1016/j.addbeh.2013.07.009. [DOI] [PubMed] [Google Scholar]
- 6.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. doi: 10.1093/ntr/ntr049. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Dugas E, Tremblay M, Low NCP, Cournoyer D, Loughlin J. Water-pipe smoking among north American youths. Pediatrics. 2010;125(6):1184. doi: 10.1542/peds.2009-2335. [DOI] [PubMed] [Google Scholar]
- 8.Maziak W. The global epidemic of waterpipe smoking. Addict Behav. 2011;36(1–2):1–5. doi: 10.1016/j.addbeh.2010.08.030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.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):1-20. [DOI] [PMC free article] [PubMed]
- 10.Maziak W, Taleb ZB, Bahelah R, Islam F, Jaber R, Auf R, Salloum RG. The global epidemiology of waterpipe smoking. Tob Control. 2015;24(Suppl 1):i3. doi: 10.1136/tobaccocontrol-2014-051903. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Grekin ER, Ayna D. Waterpipe smoking among college students in the United States: a review of the literature. J Am Coll Heal. 2012;60(3):244–249. doi: 10.1080/07448481.2011.589419. [DOI] [PubMed] [Google Scholar]
- 12.Arshad A, Matharoo J, Arshad E, Sadhra SS, Norton-Wangford R, Jawad M. Knowledge, attitudes, and perceptions towards waterpipe tobacco smoking amongst college or university students: a systematic review. BMC Public Health. 2019;19(1):439. doi: 10.1186/s12889-019-6680-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Salloum RG, Osman A, Maziak W, et al. How popular is waterpipe tobacco smoking? Findings from internet search queries. Tob Control. 2015;24(5):509-13. [DOI] [PMC free article] [PubMed]
- 14.HK01: Witnessing indoor waterpipe smoking at bars in Tsim Sha Tsui. Bar staffs are standing outside acting as a lookout to avoid prosecutions from the Tobacco and alcohol control office. In.; 2018.
- 15.HK01: Tobacco and alcohol control office carried out more than 1,000 inspections of bars and 160 prosecutions were made. Unlicensed bars are the most difficult to investigate. In.; 2018.
- 16.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):427–434. doi: 10.1007/s00038-016-0796-x. [DOI] [PubMed] [Google Scholar]
- 17.Jiang N, Ho SY, Wang MP, Leung LT, Lam TH. The relationship of waterpipe use with cigarette smoking susceptibility and nicotine dependence: a cross-sectional study among Hong Kong adolescents. Addict Behav. 2017;64:123–128. doi: 10.1016/j.addbeh.2016.08.035. [DOI] [PubMed] [Google Scholar]
- 18.Akl EA, Jawad M, Lam WY, Co CN, Obeid R, Irani J. Motives, beliefs and attitudes towards waterpipe tobacco smoking: a systematic review. Harm Reduct J. 2013;10(1):12. doi: 10.1186/1477-7517-10-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Ng M, Freeman MK, Fleming TD, et al. Smoking prevalence and cigarette consumption in 187 countries, 1980-2012. JAMA. 2014;311(2):183–192. doi: 10.1001/jama.2013.284692. [DOI] [PubMed] [Google Scholar]
- 20.Sitas F, Egger S, Bradshaw D, Groenewald P, Laubscher R, Kielkowski D, Peto R. Differences among the coloured, white, black, and other south African populations in smoking-attributed mortality at ages 35–74 years: a case-control study of 481 640 deaths. Lancet. 2013;382(9893):685–693. doi: 10.1016/S0140-6736(13)61610-4. [DOI] [PubMed] [Google Scholar]
- 21.Maziak W. Rise of waterpipe smoking. BMJ. 2015;350:h1991. doi: 10.1136/bmj.h1991. [DOI] [PubMed] [Google Scholar]
- 22.Zuckerman M. Sensation seeking: beyond the optimal level of arousal. NY: Psychology Press; 1979. [DOI] [PubMed] [Google Scholar]
- 23.Cooper M, Pacek LR, Guy MC, Barrington-Trimis JL, Kong G, Simon P, Stanton C. Hookah use among us youth: a systematic review of the literature from 2009 to 2017. Nicotine Tobacco Res. 2018:nty135. [DOI] [PMC free article] [PubMed]
- 24.Varga S, Piko BF. Being lonely or using substances with friends? A cross-sectional study of Hungarian adolescents’ health risk behaviours. BMC Public Health. 2015;15(1):1107. doi: 10.1186/s12889-015-2474-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hoyle RH, Stephenson MT, Palmgreen P, Lorch EP, Donohew RL. Reliability and validity of a brief measure of sensation seeking. Personal Individ Differ. 2002;32(3):401–14.
- 26.Stephenson MT, Velez LF, Chalela P, Ramirez A, Hoyle RH. The reliability and validity of the Brief Sensation Seeking Scale (BSSS-8) with young adult Latino workers: implications for tobacco and alcohol disparity research. Addiction. 2007;102(Suppl 2):79–91. doi: 10.1111/j.1360-0443.2007.01958.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Chen X, Li F, Nydegger L, Gong J, Ren Y, Dinaj-Koci V, Sun H, Stanton B. Brief sensation seeking scale for Chinese – cultural adaptation and psychometric assessment. Pers Individ Dif. 2013;54(5):604–609. doi: 10.1016/j.paid.2012.11.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Hughes ME, Waite LJ, Hawkley LC, Cacioppo JT. A short scale for measuring loneliness in large surveys: results from two population-based studies. Res Aging. 2004;26(6):655–672. doi: 10.1177/0164027504268574. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Steptoe A, Shankar A, Demakakos P, Wardle J. Social isolation, loneliness, and all-cause mortality in older men and women. Proc Natl Acad Sci. 2013;110(15):5797–5801. doi: 10.1073/pnas.1219686110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Xu S, Qiu D, Hahne J, Zhao M, Hu M. Psychometric properties of the short-form UCLA Loneliness Scale (ULS-8) among Chinese adolescents. Medicine. 2018;97(38):1-6. [DOI] [PMC free article] [PubMed]
- 31.White IR, Royston P, Wood AM. Multiple imputation using chained equations: issues and guidance for practice. Stat Med. 2011;30(4):377–399. doi: 10.1002/sim.4067. [DOI] [PubMed] [Google Scholar]
- 32.Sabahy AR, Divsalar K, Bahreinifar S, Marzban M, Nakhaee N. Waterpipe tobacco use among Iranian university students: correlates and perceived reasons for use. Int J Tuber Lung Dis. 2011;15(6):844–847. doi: 10.5588/ijtld.10.0744. [DOI] [PubMed] [Google Scholar]
- 33.Tamim H, Terro A, Kassem H, Ghazi A, Khamis TA, Hay MMA, Musharrafieh U. Tobacco use by university students, Lebanon, 2001. Addiction. 2003;98(7):933–939. doi: 10.1046/j.1360-0443.2003.00413.x. [DOI] [PubMed] [Google Scholar]
- 34.Azab M, Khabour OF. Alkaraki AK, Eissenberg T, Alzoubi KH, Primack BA. Water pipe tobacco smoking among university students in Jordan. Nicotine Tob Res. 2010;12(6):606–612. doi: 10.1093/ntr/ntq055. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Almerie MQ, Matar HE, Salam M, Morad A, Abdulaal M, Koudsi A, Maziak W. Cigarettes and waterpipe smoking among medical students in Syria: a cross-sectional study. Int J Tuber Lung Dis. 2008;12(9):1085–1091. [PMC free article] [PubMed] [Google Scholar]
- 36.Census and Statistics Department: Thematic Household Survey Report No. 64. In.; 2017.
- 37.World Health Organization . Prevalence of tobacco smoking. 2015. [Google Scholar]
- 38.Li HCW, Chan SS, Lam TH. Smoking among Hong Kong Chinese women: behavior, attitudes and experience. BMC Public Health. 2015;15:183. doi: 10.1186/s12889-015-1529-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Sutfin EL, McCoy TP, Reboussin BA, Wagoner KG, Spangler J, Wolfson M. Prevalence and correlates of waterpipe tobacco smoking by college students in North Carolina. Drug Alcohol Depend. 2011;115(1):131–136. doi: 10.1016/j.drugalcdep.2011.01.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ghafouri N, Hirsch JD, Heydari G, Morello CM, Kuo GM, Singh RF. Waterpipe smoking among health sciences university students in Iran: perceptions, practices and patterns of use. BMC Res Notes. 2011;4(1):496. doi: 10.1186/1756-0500-4-496. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Ahmed B, Jacob P, Allen F, Benowitz N. Attitudes and practices of hookah smokers in the San Francisco Bay Area. J Psychoactive Drugs. 2011;43(2):146–152. doi: 10.1080/02791072.2011.587707. [DOI] [PubMed] [Google Scholar]
- 42.Triandis HC. Individualism & collectivism. Boulder: Westview Press; 1995. [Google Scholar]
- 43.Markus HR, Kitayama S. Culture and the self: Lmplications for cognition, emotion, and motivation. Psychol Rev. 1991;98(2):224–253. doi: 10.1037/0033-295X.98.2.224. [DOI] [Google Scholar]
- 44.Ma GX, Shive SE, Ma XS, Toubbeh JI, Tan Y, Lan YJ, Zhai CK, Pei X. Social influences on cigarette smoking among mainland Chinese and Chinese Americans: a comparative study. Am J Health Stud. 2013;28(1):12–20. [PMC free article] [PubMed] [Google Scholar]
- 45.Wang J, Li C, Jia C, Liu Y, Liu J, Yan X, Fang Y. Smoking, smoking cessation and tobacco control in rural China: a qualitative study in Shandong Province. BMC Public Health. 2014;14(1):916. doi: 10.1186/1471-2458-14-916. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Dyal SR, Valente TW. A systematic review of loneliness and smoking: small effects, big implications. Subst Use Misuse. 2015;50(13):1697–1716. doi: 10.3109/10826084.2015.1027933. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Primack BA, Land SR, Fan J, Kim KH, Rosen D. Associations of mental health problems with waterpipe tobacco and cigarette smoking among college students. Subst Use Misuse. 2013;48(3):211–219. doi: 10.3109/10826084.2012.750363. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Primack BA, Shensa A, Kim KH, Carroll MV, Hoban MT, Leino EV, Eissenberg T, Dachille KH, Fine MJ. Waterpipe smoking among U.S. university students. Nicotine Tob Res. 2013;15(1):29–35. doi: 10.1093/ntr/nts076. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Maziak W. The waterpipe: time for action. Addiction. 2008;103(11):1763–1767. doi: 10.1111/j.1360-0443.2008.02327.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Gomez R, Schneider R, Quinteros D, Santos CF, Bandiera S, Thiesen FV, Coitinho AS. Fernandes MdC, Wieczorek MG: effect of alcohol and tobacco smoke on long-term memory and cell proliferation in the hippocampus of rats. Nicotine Tob Res. 2015;17(12):1442–1448. doi: 10.1093/ntr/ntv051. [DOI] [PubMed] [Google Scholar]
- 51.Jang M-H, Shin M-C, Jung S-B, Lee T-H, Bahn G-H, Kwon YK, Kim E-H, Kim C-J. Alcohol and nicotine reduce cell proliferation and enhance apoptosis in dentate gyrus. Neuroreport. 2002;13(12):1509–1513. doi: 10.1097/00001756-200208270-00004. [DOI] [PubMed] [Google Scholar]
- 52.Quinteros AD, Witt Hansen A, Bellaver B, Bobermin LD, Pulcinelli RR, Bandiera S, Caletti G, PER B, Quincozes-Santos A, Gomez R. Combined exposure to alcohol and tobacco smoke changes oxidative, inflammatory, and neurotrophic parameters in different areas of the brains of rats. ACS Chem Neurosci. 2019;10(3):1336–1346. doi: 10.1021/acschemneuro.8b00412. [DOI] [PubMed] [Google Scholar]
- 53.Hart CL, Davey Smith G, Gruer L, Watt GCM. The combined effect of smoking tobacco and drinking alcohol on cause-specific mortality: a 30 year cohort study. BMC Public Health. 2010;10(1):789. doi: 10.1186/1471-2458-10-789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Knishkowy B, Amitai Y. Water-pipe (narghile) smoking: an emerging health risk behavior. Pediatrics. 2005;116(1):e113. doi: 10.1542/peds.2004-2173. [DOI] [PubMed] [Google Scholar]
- 55.Maziak W, Rastam S, Ibrahim I, Ward KD, Shihadeh A, Eissenberg T. CO exposure, puff topography, and subjective effects in waterpipe tobacco smokers. Nicotine Tob Res. 2009;11(7):806–811. doi: 10.1093/ntr/ntp066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Neergaard J, Singh P, Job J, Montgomery S. Waterpipe smoking and nicotine exposure: a review of the current evidence. Nicotine Tob Res. 2007;9(10):987–994. doi: 10.1080/14622200701591591. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Zhou S, Weitzman M, Vilcassim R, Wilson J, Legrand N, Saunders E, Travers M, Chen L-C, Peltier R, Gordon T. Air quality in New York City hookah bars. Tob Control. 2015;24(e3):e193. doi: 10.1136/tobaccocontrol-2014-051763. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Wright KB. Researching internet-based populations: advantages and disadvantages of online survey research, online questionnaire authoring software packages, and web survey services. J Comput-Mediat Commun. 2017;10(3).
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and analysed during the current study are not publicly available because the datasets are currently used for another project, but are available from the corresponding author on reasonable request.