| Literature DB >> 27398028 |
Linda Haddad1, Debra Lynch Kelly2, Linda S Weglicki3, Tracey E Barnett4, Anastasiya V Ferrell5, Roula Ghadban6.
Abstract
BACKGROUND: Waterpipe smoking (WPS) is a social custom common in many Middle Eastern, North African, and Asian countries and has become increasingly popular in the US, especially among youth; however, WPS smoking may be increasing in the US adult population as well. There is a common belief among waterpipe (WP) smokers that WPS is less harmful than smoking cigarettes. Thus, this review aims to systematically explore the literature on the effects of WP tobacco smoking with a particular focus on cardiovascular and respiratory health outcomes as well as on oxidative stress, immunity, and cell cycle interference health outcomes.Entities:
Keywords: cancer; cardiovascular disease; health effects; hookah; respiratory system illness; waterpipe smoking
Year: 2016 PMID: 27398028 PMCID: PMC4934173 DOI: 10.4137/TUI.S39873
Source DB: PubMed Journal: Tob Use Insights ISSN: 1179-173X
Figure 1Process of the literature search.
WPS and cardiovascular effects.
| STUDY | STUDY DESIGN & LOCATION | SAMPLE SIZE & CHARACTERISTICS | STUDY PURPOSE/AIMS | FINDINGS | COMMENTS/LIMITATIONS |
|---|---|---|---|---|---|
| Alomari et al, 2015 | Case-control design | • Age range: 18–35 years old | • Determine effect of water-pipe smoking on the vascular function. | • There was a moderate effect on the venous outflow (d = 0.30) and post-occlusion vascular resistance (d = 0.32) along with a small effect on the forearm post-occlusion blood flow (d = −0.19) after waterpipe smoking. | • Small sample size. |
| Alomari et al, 2014 | Time-series design | • Age range: 18–35 years old | Investigate how waterpipe (WP) smoking affects central and peripheral cardiovascular systems. | • Mean arterial blood pressure ( | • Small sample size. |
| Cobsb et al, 2012 | Cross-over study design | • Age range: 18–50 years old | Determine the extent of carbon monoxide (CO), plasma nicotine level exposure on heart function after smoking tobacco-based and a tobacco-free waterpipe products. | • Heart rate variability significantly ( | • No clear description of demographics of the sample (possible selection bias). |
| Hakim et al, 2011 | Double-blind, quasi-experimental, prospective design | • Age range: 18.3–65.1 years old | Examine how 30-minutes of waterpipe (WP) smoking affects inflammatory and cardiorespiratory systems along with carboxyhemoglobin (COH b) levels. | • WP smoking significantly increased COHb levels from 1.47% ± 0.57% (median 1.4) to 9.47% ± 5.52% (median 7.4), | • No clear description of demographics of the sample. |
| Kadhum et al, 2014 | Cross-sectional design | • Age range: 18–25 years old | Examine how shisha (water-pipe) smoking affects the cardiovascular system. | • Waterpipe smoking significantly increased heart rate from 77 to 91 bpm ( | • Variability in smoking time (45–90 minutes) may have influenced the results. |
| Khlifi et al, 2015a | Case-control study | • Adults | Determine the nature of the relationship between nasal polyposis (NP) and metal blood levels. | • The control group (1.2 μg/L) had significantly ( | • Arsenic levels may vary depending on the shisha producer. |
| Khlifi et al, 2015b | Case-control study | • Adults | Evaluate whether exposure to cadmium (Cd) and nickel (Ni) is related to pathogenesis of Nasosinusal Polyposis (NSP). | • Compared to non-consumers, tobacco consumers, both controls ( | • It is possible that the Ni and Cd levels are due to concurrent environmental exposure, cigarette smoking, tobacco chewing, and shisha consumption. |
| Selim et al, 2013a | Case-control design | • Age range: 25–35 years old | Examine and compare how shisha (waterpipe) and cigarette smoking affect endothelial function. | • Compared to cigarette smokers (12 ± 3.4%) and non-smokers (21.5 ± 2.5%), shisha (7.9 ± 3.8%) smokers had a significantly impaired flow-mediated dilation ( | • The utilized brachial artery duplex ultrasonography needs to be verified as a reliable measuring tool for endothelial function. |
| Selim et al, 2013b | Prospective cohort design | • Adults | Examine whether shisha (waterpipe) smoking affects the health of coronary artery. | • Smokers of both shisha and cigarettes had significantly higher systolic blood pressure ( | • Study results may have been influenced by the medications participants took at the time of the study. |
| Wu et al, 2013 | Secondary analysis of national data | • Age range: 18–75 years old | Determine the association between hookah, cigarette/bidi smoking and mortality related to cancer, all-cause, and cardiovascular disease (CVD). | • Hookah smoking had a weak association with cancer and all-cause mortality. | • Results of this study should have been adjusted for environmental exposure to smoke and air pollution. |
| Shaikh et al, 2008 | Cross-sectional design | • Age range: 17 and older | Evaluate acute symptoms of waterpipe (WP) smoking (WPS) on cardiovascular and respiratory systems of WP smokers in Ajman, United Arab Emirates (UAE). | • There was a significant increase ( | • Convenience sampling. |
| Al-Kubati et al, 2006 | Cross-sectional design | • Age range: 20–40 years old | Determine acute results of waterpipe (WP) smoking (WPS) on blood pressure (BP), heart rate (HR), and the baroreflex control of HR. | • There was a significant increase in mean BP (82 ± 10 to 95 ± 11 mmHg, | • Small sample size. |
| Shishani et al, 2014 | Repeated-measures design | • Age range: 18–30 years old | Evaluate smoking behaviors along with subjective and physiological effects of nicotine on young adult occasional waterpipe smokers. | • Compared to the non-nicotine condition, there was a significant increase in heart rate (F = 7.92, | • Small sample size. |
| Eissenberg et al, 2009 | Two-condition crossover design | • Age range: 18–50 years-old | Analyze toxicant exposure to waterpipe (WP) tobacco and cigarette smoking in a controlled laboratory setting. | • Compared to pre-smoking condition, heart rate was significantly elevated at 5, 10, 15, 20, 25, and 35 minutes during the cigarette session and at 5-minute intervals during the water-pipe session ( | • Small sample size. |
| Al-Osaimi et al, 2012 | Cohort design Kuwait | • Age range: 18–66 years old | Evaluate acute effects of waterpipe smoking (WPS) on heart rate and oxygen saturation. | • Compared to baseline, WPS significantly decreased participants’ oxygen saturation by an average of 0.39% ( | Convenience sample. |
WPS and respiratory effects.
| STUDY | STUDY DESIGN | SAMPLE SIZE & CHARACTERISTICS | STUDY PURPOSE/AIMS | FINDINGS | COMMENTS/LIMITATIONS |
|---|---|---|---|---|---|
| Aoun et al, 2013 | Case-control design | • Age range: 18 years and older | Investigate whether there is any relationship between lung cancer, waterpipe smoking, and electricity generator exposure (a potential source of diesel exhaust to the community). | • The main risk factors of lung cancer among Lebanese women are use of heating fuel (ORa = 9.76/95% CI: 2.15–44.30/ | • No clear description of demographics of the sample. |
| Blank et al, 2011 | Quasi expermintal l design | • Age range: 18–50 years old | Investigate what health effects result from nicotine exposure during waterpipe tobacco smoking. | • The mean plasma nicotine concentration (3.6 ± 0.7 ng/mL) and heart rate (8.6 ± 1.4 bpm) significantly increased after waterpipe tobacco smoking ( | • Participants are occasional users (2–5 smoking episodes/month). |
| Boskabady et al, 2014 | Case-control design | • Age range: 20–70 years old | • Examine the prevalence of waterpipe smoking among the population of Mashhad. | • Compared to nonsmokers, waterpipe smokers showed significantly lower results on the PFT ( | • Subjective self-report of respiratory symptoms may have influenced the study results. |
| Boskabady et al, 2012 | Case-control design | • Age range: 20–70 years old | Compare respiratory symptoms (RS) and results of pulmonary function test (PFT) between deep (S-DI) and normal (S-NI) inspiration cigarette smokers along with waterpipe smokers (WP). | • Nonsmokers had significantly higher results of PFT than WP, S-DI, and some S-NI smokers ( | • No clear description of demographics of the sample. |
| Joseph et al, 2012 | Cross-sectional design | • Age range: 40 years and older | Describe the differences between Lebanese nonsmokers and smokers in relation to the respiratory quality of life, using data from a cross-sectional national study on the prevalence of Chronic Obstructive Pulmonary Disease (COPD). | • Independent of the respiratory disease status, nonsmokers had a higher respiratory quality of life compared to smokers. | • Data analysis included cumulative effect of cigarette and waterpipe smoking. |
| Koubaa et al, 2015 | Time-series design | • Age range: 18 years and older | Determine how interval exercise training program affects aerobic capacity and pulmonary function of hookah and cigarette smokers. | • Before the exercise intervention, the non-smokers had significantly higher pulmonary function than the hookah and cigarette smokers. | • Small sample size. |
| Meo et al, 2014 | Cross-sectional design | • Teenage and young adult males | Evaluate how Fractional Exhaled Nitric Oxide (FeNO) and lung function are affected by shisha (waterpipe) smoking. | • Shisha smokers had a significantly decreased lung function (FEV1, | • Small sample size. |
| Mohammad et al, 2013 | Cross-sectional design | • Children, teenage, and adult females | Determine how different smoking patterns influence chronic respiratory disease in women. | • While cigarette smoke was significantly associated with doctor-diagnosed COPD ( | • Authors admit the possibility that the participants had asthma, rather than COPD. |
| Salameh et al, 2012 | Case-control design | • Age range: 40 years and older | Investigate whether there is an association between chronic bronchitis, waterpipe smoking, and waterpipe dependence. | • Chronic bronchitis had a significant association ( | • Reduced power of study due to low number of participants with waterpipe smoking. |
| Tageldin et al, 2012 | Cross sectional design | • Age range: 40 years old and older | Determine and describe respiratory symptoms present in people with suspected COPD. | • After adjustment for cigarette use, waterpipe smoking was significantly associated with productive cough ( | • Results for waterpipe smokers should have been adjusted for air pollution and occupational exposure. |
| Waked et al, 2009 | Cross-sectional design | • Age range: 16 years old and older | • Describe the population of waterpipe smokers. | • Waterpipe smokers had a significantly higher rate of cigarette smoking ( | • Selection bias of only talking to people with phone may have influenced the study results. |
| Zeidan et al, 2014 | Cross-sectional design | • Age range: 18–35 years old | Evaluate how second hand smoke (SHS) relates to exhaled carbon monoxide levels and respiratory symptoms. | • Occupational exposure to waterpipe smoke (adjusted odds ratio (ORa) = 7.08) and to cigarette smoke (ORa = 6.06) were predictors of chronic cough. | • Generalizability may be limited because waterpipe smokers were demographically different from the rest of the sample. |
| Hawari et al, 2013 | Single group pre-test post-test design | • Males | Define acute symptoms of waterpipe tobacco smoking (WTS) on smokers’ respiratory and cardiovascular systems. | • After the WTS, there was a significant ( | • Small sample size. |
| Layoun et al, 2014 | Cross-sectional design | • Age range: 18 years old and older | Determine acute and chronic changes in function of pulmonary and cardiovascular systems after waterpipe (WP) smoking under real life conditions. | • There was no significant differences between WP and cigarette smoking in terms of respective mean values of forced expiratory volume at 1 s (FEV1), 6 s (FEV6), percentage of FEV1/FEV6, diastolic and systolic blood pressures. | • Convenience sampling. |
| Ben Saad et al, 2013 | Case-control design | • Males | Compare pulmonary function of waterpipe smokers (WPS) and exclusive cigarette smokers (ECS). | • Both ECS and WPS participants consumed similar amounts of tobacco (36922 waterpipe-years vs. 35919 pack years). | • Convenience sample. |
| Ben Saad et al, 2011 | Cross-sectional study | • Males | Determine how many waterpipe smokers (WPS) suffer from obstructive ventilatory defect (OVD), restrictive ventilatory defect (RVD), and/or static hyperinflation (SHI). To compare the estimated and chronological lung ages of WPS. | • Among the WPS participants, 6% had large airway OVD, 14% had small airway OVD, 14% had RVD, and 36% had SHI. | • Small sample size. |
| Mutairi et al, 2006 | Quasi-experimental design | • Age range: 24–65 years old | Determine and compare nicotine and cotinine levels in exclusive waterpipe smokers (WPS) and exclusive cigarette smokers (ECS). | • WPS, ECS, and non-smokers had comparable spirometric values. | • This study could benefit from randomization of subject selection and subject assignment to groups. |
| She et al, 2014 | Cross-sectional design | • Age range: over 40 years of age | Determine whether Chinese waterpipe smoking (WPS) and exposure among the Chinese population is related to the risk of developing COPD. | • Compared to ever non-smokers, the risk of developing COPD was significantly increased for Chinese water-pipe smokers (adjusted OR, 10.61; 95% CI, 6.89–16.34; | • Design of the Chinese waterpipe is different from the Arabic waterpipe. |
| Koul et al, 2011 | Case-control design India | • Age range was not reported | To evaluate if there is an association between waterpipe smoking (WPS) and lung cancer in the Kashmir population. | • Compared to not smoking anything at all, WPS significantly increased the risk for developing lung cancer by nearly six times (OR 5.83, 95% CI 3.95–8.60, | • Convenience sample. |
| Feng et al, 2009 | Case-control design | • Age range and average age were not reported | Evaluate exposure of North Africans to tobacco, cannabis, domestic fumes, alcohol intake, and lifestyle specific to North Africa in relation to the risk of developing nasopharyngeal carcinoma (NPC). | • Waterpipe smoking was not associated with the risk of developing NPC and undifferentiated carcinoma. | • Convenience sample. |
| Wang et al, 2015 | Case report | • One 20-year-old woman | To report the first Australian case of severe carbon monoxide poisoning cause by waterpipe use for one hour. | • Patient appeared lethargic. | • Findings from case report may not be applicable to the rest of the population. |
WPS, oxidative stress, and inflammation in the lung and heart.
| STUDY | STUDY DESIGN | SAMPLE SIZE & CHARACTERISTICS | STUDY PURPOSE/AIMS | FINDINGS | COMMENTS/LIMITATIONS |
|---|---|---|---|---|---|
| Rammah et al, 2013 | Experimental design | • Human aortic endothelial cells (HAEC) | Assess the changes in cell viability, reactive oxygen species (ROS) generation, inflammatory and vasodilatory markers and in vitro angiogenesis of human aortic endothelial cells in response to waterpipe smoke condensate exposure. | • Exposure to waterpipe smoke condensate (WSC) resulted in apoptosis, cell cycle arrest, and oxidative stress in HAEC. | • Study results are limited by the effect of WSC in vitro. |
| Rammah et al, 2012 | Experimental design | • Alveolar type II cells, vascular endothelial cells, genes involved in cell cycle arrest and inflammation | Investigate cytotoxicity and mutagenicity of the waterpipe smoke condensate (WSC). Examine how WSC changes the cellular profile of A549. | • The highest tested doses of WSC were significantly toxic for TA102 and TA97a strains ( | • Prokaryotic living organism was used. |
| Shihadeh et al, 2014 | Case-control design | • Age range: 18–50 years old | Evaluate how human alveolar cells are influenced by tobacco-free and tobacco-derived waterpipe smoke. | • There was no significant difference between tobacco-derived and tobacco-free waterpipe smoke. | • Study generalizability may have been limited by the sample of occasional water-pipe smokers. |
| Bentur et al, 2014 | Single group pre-test, post-test design Israel | • Age range: 18-years-old and older | Conduct clinical and laboratory analysis of acute effects from active and passive indoor groups of waterpipe smoking (WPS). | • Active WPS led to a significant decrease ( | • Small sample size. |