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. Author manuscript; available in PMC: 2019 Jun 13.
Published in final edited form as: Tob Control. 2018 May 28;28(2):181–188. doi: 10.1136/tobaccocontrol-2017-054230

Toxicant inhalation among singleton waterpipe tobacco users in natural settings

Mohammed Jawad 1, Thomas Eissenberg 2,4, Rola Salman 3,4, Eric K Soule 2,4, Karem H Alzoubi 5, Omar F Khabour 6,7, Nareg Karaoghlanian 3,4, Rima Baalbaki 8, Rachel El-Hage 8, Najat A Saliba 3,4, Alan Shihadeh 3,4,*
PMCID: PMC6563915  NIHMSID: NIHMS971077  PMID: 29807946

Abstract

Background

Studies that assess waterpipe tobacco smoking behaviour and toxicant exposure generally use controlled laboratory environments with small samples that may not fully capture real-world variability in human behaviour and waterpipe products. This study aimed to conduct real-time sampling of waterpipe tobacco use in natural environments using an in situ device.

Methods

We used the REALTIME sampling instrument; a validated, portable, self-powered device designed to sample automatically a fixed percentage of the aerosol flowing through the waterpipe mouthpiece during every puff. We recruited participants at café and home settings in Jordan and measured puffing behaviour in addition to inhalation exposure of total particulate matter (TPM), carbon monoxide (CO), nicotine, polycyclic aromatic hydrocarbons and volatile aldehydes. We correlated total inhaled volume with five selected toxicants and calculated the regression line of this relationship.

Results

Averaged across 79 singleton sessions (52% male, mean age 27.0, 95% home sessions), sessions lasted 46.9 minutes and participants drew 290 puffs and inhaled 214 litres per session. Mean quantities of inhaled toxicants per session were 1910mg TPM, 259mg CO, 5.0mg nicotine, 117ng benzo[a]pyrene, and 198ng formaldehyde. We found positive correlations between total inhaled volume and TPM (r=0.472; p<0.001), CO (r=0.751; p<0.001), nicotine (r=0.301, p=0.035) and formaldehyde (r=0.526; p<0.001), but a non-significant correlation for benzo[a]pyrene (r=0.289; p=0.056).

Conclusions

In the natural environment, waterpipe tobacco users inhale large quantities of toxicants that induce tobacco-related disease, including cancer. Toxicant content per waterpipe session is at least equal, but for many toxicants several magnitudes of order higher, than that of a cigarette. Health warnings based on early controlled laboratory studies were well-founded; if anything our findings suggest a greater exposure risk.

Keywords: tobacco, waterpipe smoking, toxicant, puff topography, hookah, shisha, nargila, carbon monoxide, nicotine, polycyclic aromatic hydrocarbons, formaldehyde

INTRODUCTION

Waterpipe tobacco smoking is a generic term to describe the inhalation of charcoal and tobacco smoke that has passed through a water-containing instrument. Since the turn of the 21st century, the mass manufacture of Mo’assel tobacco, a product thought to contain 30% tobacco laced in molasses and glycerine[1], has contributed to substantial spread of waterpipe tobacco use in many settings globally[2]. National estimates of current use (defined as at least once in the past 30 days) are high among young people in Middle Eastern settings (e.g. Lebanon 37%, West Bank 33%, Syria 20%, and Jordan 19%)[3], Eastern European settings (e.g. Latvia 23%, Czech Republic 22%, and Estonia 22%)[3], and of concern in other settings (e.g. USA 11%, Germany 10%, Brazil 9%)[46]. Fuelling this popularity is the false belief that waterpipe tobacco contains fewer toxicants than cigarettes, or that toxicants are filtered out by the water through which the smoke passes[7].

In recent years, a growing literature has begun to demonstrate that, contrary to common perception, waterpipe tobacco smoke contains and delivers considerable toxicant loads. Studies have found consistently high yields of ‘tar’ (800 to 2350mg/session)[812], carbon monoxide (CO) (60 to 370mg/session)[815], nicotine (1 to 8mg/session)[911, 14, 16] and cancer-causing agents such as benzo[a]pyrene (ND to 300ng/session) and formaldehyde (40 to 630ng/session)[17]. Other harmful toxicants found within waterpipe tobacco smoke include tobacco-specific nitrosamines[18], primary aromatic amines[19], heavy metals[16, 20], and furanic[21], volatile organic[22], and phenolic compounds[22, 23]. To meet scientific standards for replicability, smoking machine studies of waterpipe toxicant emissions require standardized test conditions and fixing of numerous variables. These variables include the amount and manner in which the tobacco is loaded into the device, the amount, type, and timing at which charcoal is added, the geometry and materials of construction of the waterpipe, and the puffing regimen used to simulate smoking. To a large extent, the implications of the choices made by investigators are unknown, leaving uncertain the degree to which analytical laboratory measurements of toxicant emissions reflect real-world exposure, particularly given the highly idiosyncratic nature of waterpipe tobacco smoking. To take one example, waterpipe users commonly manipulate the several pieces of charcoal placed on the waterpipe head during a typical use session; e.g. on multiple occasions they may pick up one or more pieces with tongs, blow on them to remove ash, and return them to the waterpipe. They may also add new charcoal from a nearby fire box or remove charcoal to regulate the smoke density or flavour. Given that charcoal contributes more than 90% of the CO and benzo[a]pyrene in waterpipe smoke[13], the way that charcoal is applied in the analytical lab may influence resulting toxicant determinations. Any standard method adopted for laboratory testing purposes will involve a high degree of idealization of real-time use patterns. As with the tobacco industry’s decades-long effort to undercut tobacco control policy by creating scientific controversy[24], uncertainties deriving from the use of standardized testing methods have been exploited to sow doubt about the harmful nature of waterpipe smoke[25].

An approach that may have more ecological validity involves sampling waterpipe smoke in real-time, in the natural environment. We have reported the development and deployment of a device that can automatically sample a fraction of every puff drawn by a waterpipe user in natural settings[26]. We piloted this approach in a sample of café smokers in Beirut, Lebanon, and on average measured 119L of smoke, containing 602mg of tar, 150mg of CO, and 4mg of nicotine per use session, which on average lasted 61 minutes. While this study confirmed that real-world waterpipe use involves inhalation of large quantities of tar, nicotine, and CO, specific toxicants such as acrolein, formaldehyde, and benzo[a]pyrene that are associated with cancer and pulmonary disease were not examined. Concentrations of these toxicants in tobacco smoke are typically several orders of magnitude smaller than those of tar, nicotine, and CO, and are therefore more challenging to measure. More pertinently, emissions of these toxicants may vary widely with small changes in waterpipe smoking conditions, and therefore the relevance of reported laboratory smoking machine yields of these smoke components to real-world exposure is particularly uncertain.

In the current study, we developed a second-generation automatic smoke sampling instrument, REALTIME, and deployed it to determine inhalation exposure to 12 species of volatile aldehydes (VA), 16 species of polycyclic aromatic hydrocarbons (PAH), as well as nicotine, CO, and total particulate matter (TPM). In addition to documenting real-world exposure to a wider range of toxicants, this study focused on home use, which has been reported as the main smoking location in a number of studies in Jordan and elsewhere.

METHODS

REALTIME device

The REALTIME device used in this study had been described previously[26] and is shown schematically in Figure 1. In brief, REALTIME is a portable self-powered device designed to sample automatically a fixed percentage (5% in this study) of the aerosol flowing through the waterpipe mouthpiece during every puff. The sampled aerosol is drawn through a glass fibre filter trap (Pall Type A/E, 25mm), followed by a DNPH-coated silica cartridge (Sigma-Aldrich H10, 3 ml), and is then exhausted into an airtight Tedlar™ bag. This sampling arrangement allows for off-line quantification of PAH and nicotine (filter trap), volatile aldehydes (silica cartridge), and CO (bag). The REALTIME device can only generate one sampled filter from each session. Each filter was analysed for either PAH or nicotine. We therefore randomly selected half the filters for each analyte.

Figure 1.

Figure 1

Schematic of REALTIME smoke sampling apparatus

REALTIME incorporates a calibrated flow sensor/nozzle embedded inline of the smoking stream in the waterpipe hose. During a smoking session, the flow through the waterpipe mouthpiece is monitored continuously (every 0·1 seconds), and is used as an input to a proportional-integral-derivative controller that activates a variable-speed sampling pump whose instantaneous flow rate is also monitored, via a high speed mass flow sensor. The electrical power to the pump is varied automatically by the circuit to ensure that the sample flow is always a fixed fraction of the mainstream smoke flow. This closed-loop control system operates at a rate of 200 samples/second.

The mainstream and sample stream flow rates are sampled continuously, digitized and recorded by an automated data acquisition system that is connected to REALTIME via USB cable. These recordings allow post-processing to determine puff topography measures (e.g. puff duration, volume, interpuff interval, total number of puffs) and to determine the actual fraction of smoke sampled. The output data are reported via an intuitive graphical user interface as well as in a non-proprietary (ASCII) format that allows further post-processing by the end user.

REALTIME was validated in the clinical laboratory in an Institutional Review Board (IRB) approved study at Virginia Commonwealth University (VCU) involving 40 participants who in counterbalanced order smoked ad libitum with and without the device attached to a waterpipe, with a smoke sample fraction of 0, 2, 5, and 10%[26]. We found no difference in puff topography, exhaled CO boost, physiological measures (heart rate and blood pressure), or subjective effects across the conditions, indicating that the device does not influence smoking behaviour or effects.

Field study

This field study was approved by the IRBs of VCU and Jordan University of Science and Technology (JUST). Participants from Irbid, Jordan were recruited into the study, at their normal places of waterpipe use. We used a convenience sample; criteria included being aged 18 years or more, being an experienced waterpipe user (regular or current waterpipe use for at least a year), and we aimed to recruit participants of both sexes in equal number. Each participant provided written informed consent before participation. Excluded were individuals who were under 18 years old or who did not carry an official ID verifying their age.

Immediately before a waterpipe use session, a brief survey form was completed indicating the session place, date, start time, and participant’s age, age of smoking initiation, and frequency of waterpipe smoking. Expired-air CO concentration was measured before each session and exactly five minutes after the last puff, using a breath CO monitor (Vitalagraph, Lenaxa, KS). Expired-air CO is highly correlated with carboxyhaemoglobin level[27] and is a commonly used measure of tobacco smoke exposure[28, 29]. After attaching REALTIME to the participant’s waterpipe, the participant was allowed to smoke ad libitum. Participants were allowed to use their own tobacco and charcoal and to load their preferred amounts into the waterpipe, and to replace charcoal or waterpipe heads at will. Participants used their own waterpipe apparatus but used our customised hose which had the REALTIME device attached to it. All participants were compensated the Jordanian equivalent of $20 US for their time and inconvenience.

Steps for filter and DNPH cartridge sampling and storage are described in Appendix 1.

Analytical Chemistry

All analytes were determined per below procedures. Inhaled toxicant load from a given use session was reported after correction for the sampled fraction of the smoke. All solvents and standards were obtained from Sigma-Aldrich, unless otherwise stated.

TPM

Total particulate matter (TPM) was determined gravimetrically as the change in weight of the filter pad. We note that TPM includes all particulate mass, including water, and is therefore not a direct quantitative measure of harmful smoke constituents. Furthermore, its chemical profile is likely to differ significantly between waterpipe and cigarette smoke.

Nicotine

Nicotine was determined by GC-MS analysis (Thermo Scientific TRACE GC-Ion Trap MS, Thermo Fisher Scientific, Waltham, MA, USA) for filter samples extracted in an ethyl-acetate solvent as described elsewhere.[30] An extracted calibration curve with concentrations ranging from 1 to 20 ppm and spiked with the internal standard hexadecane was used to interpret the resulting chromatograms. This procedure results in an average recovery near 90%, and a limit of detection (LOD) of 0.5 μg.

Polycyclic aromatic hydrocarbons

Collected samples were analysed for sixteen particle-bound U.S. Environmental Protection Agency priority pollutant PAHs using a method reported previously[31] with some modification. Prior to extraction, glass fibre filters were spiked with deuterated standards (acenaphthene-D10, phenanthrene-D10, chrysene-D12, and perylene-D12 procured from Absolute Standards, Inc.). Then they were extracted using 8 mL toluene by 2 hr sonication followed by 30 minutes shaking at 250 rpm. The filters were then removed and the sample volume was reduced to 1 mL under a gentle flow of nitrogen. Subsequently, the concentrated samples were cleaned by silica solid phase extraction and concentrated again to a volume of 50 μL for GC-MS analysis. Blank filters were analysed in parallel to assess the filter background levels.

Extracted samples were analysed on a Thermo Trace GC Ultra equipped with an ITQ-900 MS detector. Chromatographic separation was carried out on a Thermo TG-5MS column (30m × 0·25mm, 0·25 μm film thickness), using 1 ml/min helium as the carrier gas. Splitless injection volume of 1 μl was utilized and the injector temperature was set at 280 °C. The temperature program of the oven was as follows: 80 °C for 4 min, 10 °C/min to 170 °C (hold for 1 min), 3 °C/min to 180 °C, 10 °C/min to 270 °C, and 3 °C/min to 300 °C (hold for 3 min). The mass spectrometer was operated in electron impact ionization mode with an ionizing energy of 70 eV and scanning from m/z 50 to 350 at an ion source temperature of 250 °C. Quantification was done in selected ion current profile using a calibration curve of PAH standards and deuterated PAH standards at seven different concentration ratios. The concentration of PAH standards ranged between of 0.05 and 1 ppm while that of deuterated standards was fixed at 0·6 ppm. The instrumental LOD for the 16 PAHs was found to range between 0·98 and 9·9 ng. The recovery of each PAH ranged between 65 and 128%.

Volatile aldehydes

Volatile aldehydes were trapped on DNPH cartridges, which were eluted with 5 mL of acetonitrile, filtered, and delivered into amber vials to be analysed by high-performance liquid chromatography-mass spectrometry (HPLC_MS) (LC/MSD Trap XCT, Agilent Technologies, Santa Clara, CA, USA)[32]. Cartridges were stored at 4°C until analysis, within 2 weeks of sampling. Recoveries ranged between 90% and 102%. The species analysed, and the LOD and LOQ were respectively as follows (ppm): formaldehyde, 0·002 and 0·007; acetaldehyde, 0·004 and 0·012; acetone, 0·001 and 0·004; acrolein, 0·003 and 0·012; propionaldehyde, 0·008 and 0·028; crotonaldehyde, 0·005 and 0·015; methacrolein, 0·004 and 0·014; butyraldehyde, 0·006 and 0·022; benzaldehyde 0·009 and 0·029; and valeraldehyde, 0·002 and 0·007.

Carbon monoxide

Carbon monoxide was quantified using a calibrated electrochemical CO analyser (Monoxor II, Bacharach Inc.) that was connected to the Teflon bag after the smoking session was terminated. The CO yield mass was computed using the ideal gas law; we multiplied the measured volume concentrations by the total drawn smoke volume and the density of CO at ambient temperature and pressure to obtain the mass of CO emitted.

Statistical analysis

We reported means with 95% confidence intervals (95% CIs) for all variables except for CO, nicotine, and benzo[a]pyrene toxicant yields, for which medians and interquartile ranges (IQRs) were reported. Normality was determined by the skewness and kurtosis test for Normality. We checked for differences in smoking behaviour by location of use (home or café), by sex and by smoking frequency (daily or weekly) by conducting independent samples t tests. The correlation and regression between five selected toxicants (TPM, CO, nicotine, benzo[a]pyrene, and formaldehyde) and the total inhaled volume were performed using Pearson (for TPM and formaldehyde) or Spearman’s (for CO, nicotine, and benzo[a]pyrene) correlation and linear regression modelling.

RESULTS

Of 110 approached individuals 87 agreed to participate, although the results of eight were discarded due to analytical error (n=6) or duplication (n=2). We therefore analysed users of 79 singleton waterpipe tobacco sessions: 52% (n=41) were male, the mean age was 27·0 (SD 8·1), the mean waterpipe tobacco smoking history was 4·6 (SD 3·3) years. Nearly all sessions (95%, n=75) took place at participants’ homes, whereas the remainder were conducted in cafés. Over half (54·4%, n=43) were daily users, 44·3% (n=35) were weekly users, and 1·3% (n=1) was a monthly user. Averaged across all 79 sessions, the total smoking time was 46·9 minutes (95% CI 44·9-49·0), the number of puffs was 290 (95% CI 266-315), and the total puffing time was 15·3 minutes (95% CI 12·3-18·3). Participants inhaled an average of 214 litres per session (95% CI 196·7-232·1), with puffs measuring approximately 0·79 litres (95% CI 0·73-0·86) each. Puff duration and interpuff interval averaged 2·9 seconds (95% CI 2·7-3·1), and 7·6 seconds (95% CI 6·9-8·3), respectively. We found no significant differences in puff topography by location (home or café), by sex or by smoking frequency (daily or weekly) (Table 1). The average expired CO increase was 45·3 ppm (95% CI 39·0-51·7) per person compared with baseline expired CO levels (average pre-session: 15·1, 95% CI 12·4-17·7; average post-session: 60·4, 95% CI 52·8-68·0).

Table 1.

Differences in smoke topography by location of use and by sex, mean (95% CI)

Topography Location Sex Frequency of use
Home
(n=75)
Café
(n=4)
p-value* Female
(n=38)
Male
(n=41)
p-value* Daily Weekly p-value*
Total smoking time, minutes 47.2 (45.1-49.4) 41.3 (38.0-44.6) 0.216 47.2 (44.2-50.3) 46.6 (43.7-49.6) 0.797 47.0 (44.3-49.8) 47.3 (44.1-50.6) 0.887
Total number of puffs 293 (267-318) 251 (105-397) 0.455 310 (269-350) 273 (244-301) 0.133 295 (269-321) 288 (242-335) 0.799
Total puffing time, minutes 15.6 (12.4-18.7) 10.0 (4.8-15.3) 0.427 13.9 (12.6-15.2) 16.6 (10.8-22.3) 0.386 17.0 (11.6-22.4) 13.4 (12.0-14.9) 0.244
Total inhaled volume, liters 217 (198-235) 176 (96-256) 0.324 218.1 (192-244) 211 (186-236) 0.696 221 (197-244) 211 (183-238) 0.583
Single puff volume, liters 0.79 (0.73-0.86) 0.75 (0.37-1.14) 0.786 0.74 (0.66-0.82) 0.84 (0.74-0.94) 0.125 0.79 (0.70-0.88) 0.81 (0.71-0.91) 0.785
Single puff duration, seconds 2.9 (2.7-3.1) 2.5 (1.0-4.0) 0.399 2.8 (2.5-3.0) 3.0 (2.7-3.4) 0.196 2.9 (2.6-3.2) 2.98 (2.67-3.30) 0.588
Inter-puff interval, seconds 7.5 (6.8-8.2) 8.8 (1.7-15.8) 0.441 7.1 (6.3-8.0) 8.0 (6.9-9.1) 0.203 7.2 (6.3-8.0) 8.14 (6.95-9.32) 0.168
*

independent samples t-test

Toxicants per session

We had full session data on TPM (n=79), but due to human error or equipment malfunction one session less for CO (n=78) and nicotine/PAHs (n=37/41), and two less for volatile aldehydes (n=77). Mean (95% CI) values per session were 1910 mg of TPM (1710-2100), 259 mg of CO (228-291), 5·0 mg of nicotine (4·2-5·8), 117 ng of benzo[a]pyrene (97-137), and 198 ng of formaldehyde (95% CI 175-220). Median (IQR) values for non-Normally distributed variables were 235mg of CO (75.8-534), 4.8 mg of nicotine (3.36-6.87), and 118 ng of benzo[a]pyrene (77.9-143). Mean values per session of other species of polycyclic aromatic hydrocarbons and volatile aldehydes are available in Online Appendix 1.

Relationship between total inhaled volume and selected toxicants

Figure 2 presents correlations between total inhaled volume and selected toxicants. We found significant positive correlations between total inhaled volume and TPM (r=0·472; p<0·001), CO (ρ=0·746; p<0·001), nicotine (ρ=0·357; p=0·030), benzo[a]pyrene (ρ=0·340; p=0·030), and formaldehyde (r=0·526; p<0·001). For every 1 litre increase in total inhaled volume, the total amount of toxicant exposure increased on average by 5·27mg (95% CI 3·04-7·50, p<0·001) for TPM, 0.61mg (95% CI 0.49-0.72, p<0.001) for CO, 0·31mg (95% CI −0·06-0·69, p=0·10) for nicotine, 0·32ng (95% CI −0·18-0·52, p=0·07) for benzo[a]pyrene, and 0·66ng (95% CI 0·42-0·81, p<0.001) for formaldehyde. We also found a significant positive correlation between expired CO and CO yield (r=0·421; p<0·001).

Figure 2.

Figure 2

Toxicant yield versus inhaled volume

DISCUSSION

This study provides perhaps the strongest evidence to date that waterpipe use in the real-world involves inhalation of large quantities of the major toxicants associated with addiction, pulmonary and cardiovascular disease, and cancer in tobacco cigarette smokers, and is therefore a serious public health concern. Our measurements demonstrate wide variability in puffing behaviour and toxicant inhalation that is expected in a natural setting. Despite the variability, there is a strong relationship across behaviours and products between the amount of smoke drawn and the quantity of toxicants inhaled. CO was most strongly associated with total inhaled volume, which is sourced from the burning charcoal. Furthermore, the expired CO and CO yield correlation is a valuable indicator of exposure of other toxicants, showing that these toxicants are absorbed by the smoker because they are found in the smoke[33]. Reported values were obtained from a single type of waterpipe tobacco, mo’assel, and with a small study population of singleton users drawn from one geographic area and mainly from one setting (homes). Other types of waterpipe tobacco, other populations, participants in other settings and those sharing the apparatus may have different puff topography and toxicant inhalation. Our sample was not intended to be representative of all waterpipe tobacco users, and that our sample’s smoking location was mainly home may mean the results are not generalisable to café settings. The external validity of this study is therefore uncertain. We did not measure concurrent cigarette use, which may act as a confounder in the smoke topography parameters and therefore toxicant exposure of users. Another important limitation is that we did not measure tobacco specific nitrosamines, an important class of toxicants.

Two pertinent discussion points follow. The first is the extent to which previous studies of waterpipe toxicant yield, including those tightly controlling for the numerous variables in waterpipe smoking behaviour, were justified in portraying waterpipe tobacco as a public health concern. The second is understanding the extent to which our measured toxicant values are of relative concern, which can be addressed by contextualizing these values against those derived from cigarette smoke. Tables 2 and 3 report on both discussion points. Table 2 shows that, while our mean session length (47 minutes) was within range of other studies (31 to 64 minutes), our sample had the highest volume of smoke drawn (214 litres), highest number of puffs (290), and shortest interpuff interval (7·6 seconds), than any other study on record. Table 3 shows corresponding toxicant yields from our study and the literature. Expectedly, our study’s toxicant yields are higher than all other studies with reference to TPM and formaldehyde, and second highest with respect to nicotine and carbon monoxide. These high yields are likely to be due to the intensive puffing behaviour of our sample (e.g. total inhaled volume per use session), the parameters for which are the highest recorded to our knowledge. Intense puffing behaviours could reflect cultural differences in waterpipe tobacco use behaviours, or that this sample was more nicotine dependent. Further research should assess the association between waterpipe smoking location and dependence. It is less plausible that researcher observation influenced puffing behaviours, which one could expect in laboratory settings, given the researchers sat a distance away from the participant and remained inconspicuous. Table 3 also shows that, relative to the toxicant exposure from a single cigarette, the smoke of one waterpipe session contains substantially higher yields of nicotine and CO (between 2 and 50 times that of a cigarette), and similar yields of the carcinogens benzo[a]pyrene and formaldehyde[17].

Table 2.

Comparison of measured puff topography with previous studies (parenthesis indicate 95% confidence intervals unless otherwise stated)

Session length, mins Smoke drawn, litres Number of puffs Puff duration, seconds Puff volume, mL Interpuff interval, seconds
Natural environment
Jawad et al 2017 (current study) 46.9 (44.9-49.0) 214 (197-232) 290 (266-315) 2.9 (2.7-3.1) 790 (730-860) 7.6 (6.9-8.3)
Katurji et al 2010[26] 64.0 (55.6-72.4) 130 (109-151) 220 (186-254) 2.8 (2.6-3.1) 626 (538-714) 17.4 (14.4-20.4)
Shihadeh et al 2004[34] 55.9 91 171 2.6 530 17.0
Shihadeh 2003[16] 50.6 30 100 3.0 300 30.0
Clinical laboratory
Alzoubi et al 2013 [35] – male only 31.1 (4.4)* 99 (55)* 176 (69)* 2.7 (1.1)* 570 (280)* 10.1 (6.9)*
Alzoubi et al 2013 [35] – female only 30.7 (2.4)* 77 (51)* 180 (95)* 2.4 (0.9)* 440 (230)* 10.2 (5.7)*
Blank et al 2011 [36] 45.0 57 (46)* 66 (42)* 3.9 (1.5)* 906 (517)* 47.5 (21.0)*
Cobb et al 2011 [37] 45.0 62 (5)$ 84.9 (6.4)$ 834 (65.7)$ 35.4 (2.7)$
Maziak et al 2009 [38] 33.1 (13.1)* 86 169 (100)* 3.2 (1.2)* 511 (333)* 12.6 (5.9)*
*

Standard deviation;

$

standard error of the mean

Table 3.

Comparison of measured toxicant content with previous studies (parenthesis indicate 95% confidence intervals unless otherwise stated)

Tar, mg Total particulate matter, mg Carbon monoxide, mg Nicotine, mg Benzo[a]pyrene, ng Formaldehyde, ng Expired carbon monoxide, ppm
Natural environment
Jawad et al. 2017 (current study) 1910 (1710-2100) 259 (228-291) 5.0 (4.2-5.8) 117 (97-137) 198 (175-220) 45.3 (39.0-51.7)
Katurji et al. 2010[26] 640 (521-759) 1193 (970-1416) 150 (124-176) 4.8 (3.7-5.9)
Clinical laboratory
Alzoubi et al. 2013 [35] – male only 60.0 (39.6)*
Alzoubi et al. 2013[35]- female only 46.8 (37.4)*
Blank et al. 2011 [36] 27.9 (2.6)$
Cobb et al. 2011 [37] 84.4
Maziak et al. 2009 [38] 31.5 (32.7)
Smoking machine
Markowicz et al. 2014[12] 1870 (310)* 254 (29)*
Shihadeh et al. 2014[15] 1150 (450)$ 190 (60)*
Shihadeh et al. 2012[14] 464 (159)* 770 (228)* 155 (49)* 1.0 (0.3)* 51.8 (12.9)*
Apsley et al. 2011 [20] 0.3 (0.2-0.6)ˆ BDL
Schubert et al. 2011/12[10, 21] 949 (27) 2710 (7.5) 367 (9) 7.8 (5.1) 55.6-111*
Monzer et al. 2008[13] 774.7 (210.8)$ 57.2 169.7
Saleh & Shihahdeh 2008[9] and 1180-2860ˆ 99-241ˆ 5.2-6.1ˆ 307 (20)
Sepetdjian et al. 2008[31]
Shihadeh & Saleh 2005 [11] and Al 802 1380 (1287-1473) 143 (132-154) 3.0 (2.8-3.2) 102.7 (16.3)*
Rashidi et al. 2008 [32]
Shihadeh 2003[16] 242 2.3
Cigarette
Hoffman and Hoffman [40] 10-23ˆ 1.0-3.0ˆ 20-40ˆ 70-100ˆ
Liu et al. 2009[41] 9.4 11 12.0 0.73
Tarrant et al. 2009[42] 6.6
Intorp et al. 2009[43] 20.6
*

Standard deviation;

$

standard error of the mean;

ˆ

range;

relative standard deviation

A strength of this study is that it is the first to our knowledge to measure directly PAHs and volatile aldehydes in the natural setting. The data that we report confirm previous observations from controlled laboratory studies[17] and add to the growing body of literature that action is needed to reduce population harm from waterpipe tobacco[39]. We are also the first to measure toxicant exposure in a home setting, which could add a new angle to the discussion around waterpipe should further research identify, for example, that home users are more dependent on waterpipe tobacco than café users.

To conclude, singleton waterpipe tobacco users in Jordan engaging in ad libitum smoking, most of whom were in their homes, demonstrate a harmful toxicological profile that appears more substantial than that found in the existing literature. We further demonstrated that toxicants found in trace quantities, such as benzo[a]pyrene and formaldehyde, are present in quantities that warrant public health concern. Further research could evaluate how patterns of use vary across settings and between sociodemographic groups.

Supplementary Material

Supp1

WHAT THIS PAPER ADDS.

What is already known on the subject

Studies have shown that waterpipe tobacco likely has a harmful toxicological profile. However, waterpipe toxicant inhalation estimates are limited to controlled experiments involving numerous idealizations. The degree to which toxicant inhalation with real-world waterpipe use is represented by controlled laboratory studies is not known, providing aficionados and marketers space to sow doubt about its harmful effects.

What this study adds

We present waterpipe toxicant data from ad libitum waterpipe smokers in their natural environment using a real-time in situ device. We demonstrate a substantial toxicological profile, possibly the highest on record, in this population. We demonstrate for the first time that real-world waterpipe use involves inhalation exposure to substantial quantities of carcinogens and lung irritants.

This study provides perhaps the strongest evidence to date that waterpipe use in the real-world involves inhalation of large quantities of the major toxicants associated with addiction, pulmonary and cardiovascular disease, and cancer in tobacco cigarette smokers, and is therefore a serious public health concern.

Acknowledgments

This study was funded by NIH/NIDA grant number R01 DA025659. Drs. Eissenberg, Saliba, Soule, and Shihadeh currently are supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number P50DA036105 and the Center for Tobacco Products of the U.S. Food and Drug Administration. The content is solely the responsibility of the authors and does not necessarily represent the views of the NIH or the FDA. The funder had no role in the study design, data collection, analysis and interpretation of data, in writing of the report, and in the decision to submit the paper for publication.

FUNDING

This study was funded by NIH/NIDA grant number R01 DA025659. Drs. Eissenberg, Saliba, Soule, and Shihadeh currently are supported by the National Institute on Drug Abuse of the National Institutes of Health under Award Number P50DA036105 and the Center for Tobacco Products of the U.S. Food and Drug Administration. The content is solely the responsibility of the authors and does not necessarily represent the views of the NIH or the FDA.

Footnotes

CONTRIBUTORSHIP STATEMENT

Study conception and design: AS, TE

Acquisition of data: AS, KA, OK, RB, RE, RS, NK, TE

Analysis and interpretation of data: AS, EKS, KA, MJ, OK, RE, RS, TE

Drafting of manuscript: AS, KA, MJ, OK, RS, TE

Critical revision: AS, EKS, KA, MJ, NAS, NK, OK, RB, RE, RS, TE

COMPETING INTERESTS

All authors have completed the ICMJE uniform disclosure form at qqq.icmje.org/coi_dislcosure.pdf and declare: no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work.

EXCLUSIVE LICENCE

All authors confirm this manuscript has not been accepted for publication elsewhere, is not being considered for publication elsewhere and does not duplicate material already published. I confirm all authors consent to publication of this manuscript.

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