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Soule EK, Sousan S, Pender J, Thomas L, Gold E, Fresquez S, Mooring R, Coombs V, Gogineni A, Tiet A. Secondhand electronic cigarette aerosol in vehicles impacts indoor air quality. Drug Alcohol Depend 2023; 250:110889. [PMID: 37478503 PMCID: PMC10528711 DOI: 10.1016/j.drugalcdep.2023.110889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 06/26/2023] [Accepted: 07/04/2023] [Indexed: 07/23/2023]
Abstract
BACKGROUND Electronic cigarette (ECIG) use in vehicles represents a public health concern due to the potential for exposure to high concentrations of particulate matter (PM) and other toxicants. This study examined the impact of ECIG use on air quality in vehicles. METHODS People who reported current ECIG use (n=60; mean age=20.5, SD=2.3) completed a brief survey and a 30-min ECIG use session in their own vehicle. Using a protocol similar to clinical laboratory studies involving tobacco use, participants took 10 directed puffs (i.e., a directed bout with one puff every 30s for 5min) followed by a 25-min ad libitum period in which participants took as many puffs as desired. PM 2.5µm in diameter or smaller (PM2.5) were measured using aerosol monitors set up to sample air from the breathing zone of the passenger seat and total puffs were recorded. The association between peak PM2.5 concentration and puff count was examined. RESULTS Participants took a median 18 total puffs during the sessions. Median PM2.5 concentrations increased from 4.78µg/m3 at baseline to 107.40µg/m3 after the directed bout. Median peak PM2.5 concentration was 464.48µg/m3 and ranged from 9.56µg/m3 to 143,503.91µg/m3 (IQR=132.72-1604.68). After removing two extreme outliers for puff count and PM2.5 concentrations, puff count was significantly correlated with peak PM2.5 concentration during the ad libitum bout (r=0.32, p=0.015). CONCLUSIONS ECIG use in vehicles impacts air quality negatively and may pose health risks to those present in vehicles when ECIG use is occurring.
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Affiliation(s)
- Eric K Soule
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA; Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, VA27858, USA.
| | - Sinan Sousan
- Department of Public Health, Brody School of Medicine, East Carolina UniversityGreenville, NC27858, USA; North Carolina Agromedicine Institute, Greenville, NC27858, USA
| | - Jack Pender
- Department of Chemistry, Thomas Harriot College of Arts & Sciences, East Carolina University, Greenville, NC27858, USA
| | - Luke Thomas
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Emily Gold
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Sarah Fresquez
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Ronald Mooring
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Vivien Coombs
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Anish Gogineni
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
| | - Alex Tiet
- Department of Health Education and Promotion, College of Health and Human Performance, East Carolina University, Greenville, NC27858, USA
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Soule EK, Sousan S, Pender J, Thomas A, Patel N. Electronic cigarette use and cigarette smoking in vehicles among adults who use electronic cigarettes and cigarettes in the USA. Tob Control 2023:tc-2022-057898. [PMID: 37451861 PMCID: PMC10787805 DOI: 10.1136/tc-2022-057898] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Accepted: 06/28/2023] [Indexed: 07/18/2023]
Affiliation(s)
- Eric K Soule
- Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina, USA
- Center for the Study of Tobacco Products, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Sinan Sousan
- Department of Public Health, East Carolina University, Greenville, North Carolina, USA
- North Carolina Agromedicine Institute, Greenville, North Carolina, USA
| | - Jack Pender
- Department of Chemistry, East Carolina University, Greenville, North Carolina, USA
| | - Alisha Thomas
- Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina, USA
| | - Neal Patel
- Department of Health Education and Promotion, East Carolina University, Greenville, North Carolina, USA
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Ranpara A, Stefaniak AB, Fernandez E, Bowers LN, Arnold ED, LeBouf RF. Influence of puff topographies on e-liquid heating temperature, emission characteristics and modeled lung deposition of Puff Bar ™. AEROSOL SCIENCE AND TECHNOLOGY : THE JOURNAL OF THE AMERICAN ASSOCIATION FOR AEROSOL RESEARCH 2023; 57:450-466. [PMID: 37969359 PMCID: PMC10641718 DOI: 10.1080/02786826.2023.2190786] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Accepted: 02/27/2023] [Indexed: 11/17/2023]
Abstract
Puff Bar™, one of the latest designs of e-cigarettes, heats a mixture of liquid using a battery-powered coil at certain temperatures to emit aerosol. This study presents a mass-based characterization of emissions from seven flavors of Puff Bar™ devices by aerosolizing with three puff topographies [(puff volume: 55 < 65 < 75-mL) within 4-seconds at 30-seconds interval]. We evaluated the effects of puff topographies on heating temperatures; characterized particles using a cascade impactor; and measured volatile carbonyl compounds (VCCs). Modeled dosimetry and calculated mass median aerodynamic diameters (MMADs) were used to estimate regional, total respiratory deposition of the inhaled aerosol and exhaled fractions that could pose secondhand exposure risk. Temperatures of Puff Bar™ e-liquids increased with increasing puff volumes: 55mL (116.6 °C), 65 mL (128.3 °C), and 75mL (168.9 °C). Flavor types significantly influenced MMADs, total mass of particles, and VCCs (μg/puff: 2.15-2.30) in Puff Bar™ emissions (p < 0.05). Increasing puff volume (mL:55 < 65 < 75) significantly increased total mass (mg/puff: 4.6 < 5.6 < 6.2) of particles without substantially changing MMADs (~1μm:1.02~0.99~0.98). Aerosol emissions were estimated to deposit in the pulmonary region of e-cigarette user (41-44%), which could have toxicological importance. More than 2/3 (67-77%) of inhaled particles were estimated to be exhaled by users, which could affect bystanders. The VCCs measured contained carcinogens-formaldehyde (29.6%) and acetaldehyde (16.4%)-as well as respiratory irritants: acetone (23.9%), isovaleraldehyde (14.5%), and acrolein (4.9%). As Puff Bar™ emissions contain respirable particles and harmful chemicals, efforts should be made to minimize exposures, especially in indoor settings where people (including vulnerable populations) spend most of their life-time.
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Affiliation(s)
- Anand Ranpara
- Department of Physiology and Pharmacology, School of Medicine, West Virginia University, Health Science Center, Morgantown, West Virginia, USA
| | - Aleksandr B. Stefaniak
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Elizabeth Fernandez
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Lauren N. Bowers
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Elizabeth D. Arnold
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
| | - Ryan F. LeBouf
- Respiratory Health Division, National Institute for Occupational Safety and Health, Morgantown, West Virginia, USA
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Shearston JA, Eazor J, Lee L, Vilcassim MJR, Reed TA, Ort D, Weitzman M, Gordon T. Effects of electronic cigarettes and hookah (waterpipe) use on home air quality. Tob Control 2023; 32:36-41. [PMID: 34021062 PMCID: PMC10787574 DOI: 10.1136/tobaccocontrol-2020-056437] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Revised: 03/30/2021] [Accepted: 04/06/2021] [Indexed: 11/04/2022]
Abstract
INTRODUCTION A major site of secondhand smoke exposure for children and adults is the home. Few studies have evaluated the impact of e-cigarette or hookah use on home air quality, despite evidence finding toxic chemicals in secondhand e-cigarette aerosols and hookah smoke. We assessed the effect of e-cigarette and hookah use on home air quality and compared it with air quality in homes where cigarettes were smoked and where no smoking or e-cigarette use occurred. METHODS Non-smoking homes and homes where e-cigarettes, hookah or cigarettes were used were recruited in the New York City area (n=57) from 2015 to 2019. Particulate matter with diameter less than 2.5 µm (PM2.5), black carbon and carbon monoxide (CO) were measured during a smoking or vaping session, both in a 'primary' smoking room and in an adjacent 'secondary' room where no smoking or vaping occurred. Log transformed data were compared with postanalysis of variance Tukey simultaneous tests. RESULTS Use of hookah significantly increased PM2.5 levels compared with non-smoking homes, in both the primary and secondary rooms, while use of e-cigarettes increased PM2.5 levels only in primary rooms. Additionally, in-home use of hookah resulted in greater CO concentrations than the use of cigarettes in primary rooms. CONCLUSIONS Use of e-cigarettes or hookah increases air pollution in homes. For hookah, increases in PM2.5 penetrated even into rooms adjacent to where smoking occurs. Extending smoke-free rules inside homes to include e-cigarette and hookah products is needed to protect household members and visitors from passive exposure to harmful aerosols and gases.
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Affiliation(s)
- Jenni A Shearston
- Department of Environmental Health Sciences, Columbia University Mailman School of Public Health, New York, New York, USA
| | - James Eazor
- Department of Pediatrics, New York University School of Medicine, New York, New York, USA
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
| | - Lily Lee
- State University of New York Downstate Medical Center, New York, New York, USA
| | - M J Ruzmyn Vilcassim
- Department of Environmental Health Sciences, The University of Alabama at Birmingham School of Public Health, Birmingham, Alabama, USA
| | - Taylor A Reed
- Department of Social Welfare, University of California Los Angeles, Los Angeles, California, USA
| | - Deborah Ort
- Nemours Children's Urgent Care, Orlando, Florida, USA
| | - Michael Weitzman
- Department of Pediatrics, New York University School of Medicine, New York, New York, USA
- New York University College of Global Public Health, New York, New York, USA
| | - Terry Gordon
- Department of Environmental Medicine, New York University School of Medicine, New York, New York, USA
- New York University College of Global Public Health, New York, New York, USA
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Amalia B, Fu M, Tigova O, Ballbè M, Paniello-Castillo B, Castellano Y, Vyzikidou VK, O'Donnell R, Dobson R, Lugo A, Veronese C, Pérez-Ortuño R, Pascual JA, Cortés N, Gil F, Olmedo P, Soriano JB, Boffi R, Ruprecht A, Ancochea J, López MJ, Gallus S, Vardavas C, Semple S, Fernández E. Exposure to secondhand aerosol from electronic cigarettes at homes: A real-life study in four European countries. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 854:158668. [PMID: 36099951 DOI: 10.1016/j.scitotenv.2022.158668] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 06/15/2023]
Abstract
Electronic cigarette (e-cigarette) use emits potentially hazardous compounds and deteriorates indoor air quality. Home is a place where e-cigarettes may frequently be used amid its increasing prohibition in public places. This study assessed the real-life scenario of bystanders' exposure to secondhand e-cigarette aerosol (SHA) at home. A one-week observational study was conducted within the TackSHS project in four countries (Greece, Italy, Spain, and the United Kingdom) in 2019 including: 1) homes of e-cigarette users living together with a non-user/non-smoker; and 2) control homes with no smokers nor e-cigarette users. Indoor airborne nicotine, PM2.5, and PM1.0 concentrations were measured as environmental markers of SHA. Biomarkers, including nicotine and its metabolites, tobacco-specific nitrosamines, propanediol, glycerol, and metals were measured in participants' saliva and urine samples. E-cigarette use characteristics, such as e-cigarette refill liquid's nicotine concentration, e-cigarette type, place of e-cigarette use at home, and frequency of ventilation, were also collected. A total of 29 e-cigarette users' homes and 21 control homes were included. The results showed that the seven-day concentrations of airborne nicotine were quantifiable in 21 (72.4 %) out of 29 e-cigarette users' homes; overall, they were quite low (geometric mean: 0.01 μg/m3; 95 % CI: 0.01-0.02 μg/m3) and were all below the limit of quantification in control homes. Seven-day concentrations of PM2.5 and PM1.0 in e-cigarette and control homes were similar. Airborne nicotine and PM concentrations did not differ according to different e-cigarette use characteristics. Non-users residing with e-cigarette users had low but significantly higher levels of cotinine, 3'-OH-cotinine and 1,2-propanediol in saliva, and cobalt in urine than non-users living in control homes. In conclusion, e-cigarette use at home created bystanders' exposure to SHA regardless of the e-cigarette use characteristics. Further studies are warranted to assess the implications of SHA exposure for smoke-free policy.
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Affiliation(s)
- Beladenta Amalia
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; School of Medicine and Health Sciences, University of Barcelona - UB, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain
| | - Marcela Fu
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; School of Medicine and Health Sciences, University of Barcelona - UB, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain.
| | - Olena Tigova
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; School of Medicine and Health Sciences, University of Barcelona - UB, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain
| | - Montse Ballbè
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain; Addictions Unit, Institute of Neurosciences, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Blanca Paniello-Castillo
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
| | - Yolanda Castellano
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; School of Medicine and Health Sciences, University of Barcelona - UB, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain
| | - Vergina K Vyzikidou
- Hellenic Cancer Society - George D. Behrakis Research Lab - HCS, Athens, Greece
| | - Rachel O'Donnell
- Institute for Social Marketing and Health, University of Stirling, Stirling, Scotland, United Kingdom of Great Britain and Northern Ireland
| | - Ruaraidh Dobson
- Institute for Social Marketing and Health, University of Stirling, Stirling, Scotland, United Kingdom of Great Britain and Northern Ireland
| | - Alessandra Lugo
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri - IRCCS, Milan, Italy
| | - Chiara Veronese
- IRCCS Istituto Nazionale dei Tumori - INT Foundation, Milan, Italy
| | - Raúl Pérez-Ortuño
- Hospital del Mar Medical Research Institute - IMIM, Barcelona, Spain
| | - José A Pascual
- Hospital del Mar Medical Research Institute - IMIM, Barcelona, Spain; Department of Experimental and Health Sciences, University Pompeu Fabra - UPF, Barcelona, Spain
| | - Nuria Cortés
- Agència de Salut Pública de Barcelona - ASPB, Barcelona, Spain
| | - Fernando Gil
- Department of Legal Medicine and Toxicology, School of Medicine, University of Granada - UG, Granada, Spain
| | - Pablo Olmedo
- Department of Legal Medicine and Toxicology, School of Medicine, University of Granada - UG, Granada, Spain
| | - Joan B Soriano
- CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain; Respiratory Department, Hospital Universitario La Princesa, Madrid, Spain
| | - Roberto Boffi
- IRCCS Istituto Nazionale dei Tumori - INT Foundation, Milan, Italy
| | - Ario Ruprecht
- IRCCS Istituto Nazionale dei Tumori - INT Foundation, Milan, Italy
| | - Julio Ancochea
- CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain; Respiratory Department, Hospital Universitario La Princesa, Madrid, Spain
| | - Maria J López
- Agència de Salut Pública de Barcelona - ASPB, Barcelona, Spain; CIBER de Epidemiología y Salud Pública - CIBERESP, Madrid, Spain; Institut d'Investigació Biomèdica Sant Pau - IIB St. Pau, Barcelona, Spain
| | - Silvano Gallus
- Department of Environmental Health Sciences, Istituto di Ricerche Farmacologiche Mario Negri - IRCCS, Milan, Italy
| | - Constantine Vardavas
- School of Medicine, University of Crete, Heraklion, Greece; Department of Oral Health Policy and Epidemiology, Harvard School of Dental Medicine, Harvard University, Boston, MA, USA
| | - Sean Semple
- Institute for Social Marketing and Health, University of Stirling, Stirling, Scotland, United Kingdom of Great Britain and Northern Ireland
| | - Esteve Fernández
- Tobacco Control Unit, Catalan Institute of Oncology - ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain; Tobacco Control Research Group, Bellvitge Biomedical Research Institute - IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain; School of Medicine and Health Sciences, University of Barcelona - UB, Barcelona, Spain; CIBER Respiratory Diseases - CIBERES, Instituto de Salud Carlos III, Madrid, Spain
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Edmiston JS, Rostami AA, Liang Q, Miller S, Sarkar MA. Computational modeling method to estimate secondhand exposure potential from exhalations during e-vapor product use under various real-world scenarios. Intern Emerg Med 2022; 17:2005-2016. [PMID: 36050572 PMCID: PMC9522680 DOI: 10.1007/s11739-022-03061-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Accepted: 07/20/2022] [Indexed: 11/05/2022]
Abstract
Potential secondhand exposure of exhaled constituents from e-vapor product (EVP) use is a public health concern. We present a computational modeling method to predict air levels of exhaled constituents from EVP use. We measured select constituent levels in exhaled breath from adult e-vapor product users, then used a validated computational model to predict constituent levels under three scenarios (car, office, and restaurant) to estimate likely secondhand exposure to non-users. The model was based on physical/thermodynamic interactions between air, vapor, and particulate phase of the aerosol. Input variables included space setting, ventilation rate, total aerosol amount exhaled, and aerosol composition. Exhaled breath samples were analyzed after the use of four different e-liquids in a cartridge-based EVP. Nicotine, propylene glycol, glycerin, menthol, formaldehyde, acetaldehyde, and acrolein levels were measured and reported based on a linear mixed model for analysis of covariance. The ranges of nicotine, propylene glycol, glycerin, and formaldehyde in exhaled breath were 89.44-195.70 µg, 1199.7-3354.5 µg, 5366.8-6484.7 µg, and 0.25-0.34 µg, respectively. Acetaldehyde and acrolein were below detectable limits; thus, no estimated exposure to non-EVP users is reported. The model predicted that nicotine and formaldehyde exposure to non-users was substantially lower during EVPs use compared to cigarettes. The model also predicted that exposure to propylene glycol, glycerin, nicotine and formaldehyde among non-users was below permissible exposure limits.
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Affiliation(s)
- Jeffery S Edmiston
- Center for Research and Technology, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA, 23219, USA
| | - Ali A Rostami
- Center for Research and Technology, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA, 23219, USA
| | - Qiwei Liang
- Center for Research and Technology, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA, 23219, USA
| | - Sandra Miller
- Center for Research and Technology, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA, 23219, USA
| | - Mohamadi A Sarkar
- Center for Research and Technology, Altria Client Services LLC, 601 East Jackson Street, Richmond, VA, 23219, USA.
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7
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Caron KT, Zhu W, Bernert JT, Wang L, Blount BC, Dortch K, Hunter RE, Harmon T, Akins JR, Tsai J, Homa DM, Pirkle JL, Sosnoff CS. Geometric Mean Serum Cotinine Concentrations Confirm a Continued Decline in Secondhand Smoke Exposure among U.S. Nonsmokers-NHANES 2003 to 2018. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19105862. [PMID: 35627398 PMCID: PMC9140715 DOI: 10.3390/ijerph19105862] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/09/2022] [Accepted: 05/10/2022] [Indexed: 11/16/2022]
Abstract
The objective of this study was to examine long-term trends in serum cotinine (COT) concentrations, as a measure of secondhand smoke (SHS) exposure, in U.S. nonsmokers using data from the National Health and Nutrition Examination Surveys (NHANES) from 2003 to 2018. We analyzed NHANES serum COT results from 8 continuous NHANES 2 year cycles from 2003 to 2018 using a liquid chromatography−tandem mass spectrometry assay that has been maintained continuously at the Centers for Disease Control and Prevention (CDC) since 1992. Serum COT concentrations (based on the geometric means) among nonsmokers in the U.S. decreased by an average of 11.0% (95% confidence interval (CI) [8.8%, 13.1%]; p < 0.0001) every 2 year cycle. From 2003 to 2018, serum COT concentrations in U.S. nonsmokers declined by 55.0%, from 0.065 ng/mL in 2003−2004 to 0.029 ng/mL in 2017−2018 (p < 0.0001). Significant decreases in serum COT concentrations were observed in all demographic groups. While disparities between these groups seems to be shrinking over time, several previously observed disparities in SHS exposure remain in 2017−2018. Serum COT concentrations of the non-Hispanic Black population remained higher than those of non-Hispanic Whites and Mexican Americans (p < 0.0001). Additionally, serum COT concentrations were significantly higher for children aged 3−5 years than other age groups (p ≤ 0.0002), and men continued to have significantly higher serum COT concentrations than women (p = 0.0384). While there is no safe level of exposure to SHS, the decrease in serum COT concentrations in the U.S. population as well as across demographic groupings represents a positive public health outcome and supports the importance of comprehensive smoke-free laws and policies for workplaces, public places, homes, and vehicles to protect nonsmokers from SHS exposure.
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Affiliation(s)
- Kevin T. Caron
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
- Correspondence: ; Tel.: +1-(770)-488-7648
| | - Wanzhe Zhu
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - John T. Bernert
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Lanqing Wang
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Benjamin C. Blount
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Kristin Dortch
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Ronald E. Hunter
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Tia Harmon
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - J. Ricky Akins
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - James Tsai
- Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (J.T.); (D.M.H.)
| | - David M. Homa
- Office on Smoking and Health, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (J.T.); (D.M.H.)
| | - James L. Pirkle
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
| | - Connie S. Sosnoff
- Division of Laboratory Sciences, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA; (W.Z.); (J.T.B.); (L.W.); (B.C.B.); (K.D.); (R.E.H.); (T.H.); (J.R.A.); (J.L.P.); (C.S.S.)
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8
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Stefaniak AB, Ranpara AC, Virji MA, LeBouf RF. Influence of E-Liquid Humectants, Nicotine, and Flavorings on Aerosol Particle Size Distribution and Implications for Modeling Respiratory Deposition. Front Public Health 2022; 10:782068. [PMID: 35372219 PMCID: PMC8968757 DOI: 10.3389/fpubh.2022.782068] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2021] [Accepted: 02/15/2022] [Indexed: 01/10/2023] Open
Abstract
Electronic cigarette, or vaping, products are used to heat an e-liquid to form an aerosol (liquid droplets suspended in gas) that the user inhales; a portion of this aerosol deposits in their respiratory tract and the remainder is exhaled, thereby potentially creating opportunity for secondhand exposure to bystanders (e.g., in homes, automobiles, and workplaces). Particle size, a critical factor in respiratory deposition (and therefore potential for secondhand exposure), could be influenced by e-liquid composition. Hence, the purposes of this study were to (1) test the influence of laboratory-prepared e-liquid composition [ratio of propylene glycol (PG) to vegetable glycerin (VG) humectants, nicotine, and flavorings] on particle size distribution and (2) model respiratory dosimetry. All e-liquids were aerosolized using a second-generation reference e-cigarette. We measured particle size distribution based on mass using a low-flow cascade impactor (LFCI) and size distribution based on number using real-time mobility sizers. Mass median aerodynamic diameters (MMADs) of aerosol from e-liquids that contained only humectants were significantly larger compared with e-liquids that contained flavorings or nicotine (p = 0.005). Humectant ratio significantly influenced MMADs; all aerosols from e-liquids prepared with 70:30 PG:VG were significantly larger compared with e-liquids prepared with 30:70 PG:VG (p = 0.017). In contrast to the LFCI approach, the high dilution and sampling flow rate of a fast mobility particle sizer strongly influenced particle size measurements (i.e., all calculated MMAD values were < 75 nm). Dosimetry modeling using LFCI data indicated that a portion of inhaled particles will deposit throughout the respiratory tract, though statistical differences in aerosol MMADs among e-liquid formulations did not translate into large differences in deposition estimates. A portion of inhaled aerosol will be exhaled and could be a source for secondhand exposure. Use of laboratory-prepared e-liquids and a reference e-cigarette to standardize aerosol generation and a LFCI to measure particle size distribution without dilution represents an improved method to characterize physical properties of volatile aerosol particles and permitted determination of MMAD values more representative of e-cigarette aerosol in situ, which in turn, can help to improve dose modeling for users and bystanders.
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9
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Khachatoorian C, McWhirter KJ, Luo W, Pankow JF, Talbot P. Tracing the movement of electronic cigarette flavor chemicals and nicotine from refill fluids to aerosol, lungs, exhale, and the environment. CHEMOSPHERE 2022; 286:131494. [PMID: 34392198 PMCID: PMC8787941 DOI: 10.1016/j.chemosphere.2021.131494] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Revised: 06/09/2021] [Accepted: 07/07/2021] [Indexed: 05/12/2023]
Abstract
BACKGROUND Given the high concentrations of nicotine and flavor chemicals in EC (electronic cigarette) fluids, it is important to determine how efficiently they transfer to aerosols, how well they are retained by users (exposure), and if they are exhaled into the environment where they settle of surfaces forming ECEAR (EC exhaled aerosol residue). OBJECTIVES To quantify the flavor chemicals and nicotine in refill fluids, inhaled aerosols, and exhaled aerosols. Then deduce their retention and contribution to ECEAR. METHODS Flavor chemicals and nicotine were identified and quantified by GC-MS in two refill fluids, smoking machine-generated aerosols, and aerosols exhaled by 10 human participants (average age 21; 7 males). Machine generated aerosols were made with varying puff durations and two wattages (40 and 80). Participants generated exhale ad libitum; their exhale was quantified, and chemical retention and contribution to ECEAR was modeled. RESULTS "Dewberry Cream" had five dominant (≥1 mg/mL) flavor chemicals (maltol, ethyl maltol, vanillin, ethyl vanillin, furaneol), while "Cinnamon Roll" had one (cinnamaldehyde). Nicotine transferred well to aerosols irrespective of topography; however, transfer efficiencies of flavor chemicals depended on the chemical, puff volume, puff duration, pump head, and EC power. Participants could be classified as "mouth inhalers" or "lung inhalers" based on their exhale of flavor chemicals and nicotine and retention. Lung inhalers had high retention and exhaled low concentrations of EC chemicals. Only mouth inhalers exhaled sufficient concentrations of flavor chemicals/nicotine to contribute to chemical deposition on environmental surfaces (ECEAR). CONCLUSION These data help distinguish two types of EC users, add to our knowledge of chemical exposure during vaping, and provide information useful in regulating EC use.
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Affiliation(s)
- Careen Khachatoorian
- Cell, Molecular, and Developmental Biology Graduate Program, University of California, Riverside, Riverside, CA, USA.
| | - Kevin J McWhirter
- Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA.
| | - Wentai Luo
- Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA.
| | - James F Pankow
- Department of Civil and Environmental Engineering, Portland State University, Portland, OR, USA.
| | - Prue Talbot
- Department of Molecular, Cell & Systems Biology University of California, Riverside, Riverside, CA, USA.
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10
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Amalia B, Fu M, Tigova O, Ballbè M, Castellano Y, Semple S, Clancy L, Vardavas C, López MJ, Cortés N, Pérez-Ortuño R, Pascual JA, Fernández E. Environmental and individual exposure to secondhand aerosol of electronic cigarettes in confined spaces: Results from the TackSHS Project †. INDOOR AIR 2021; 31:1601-1613. [PMID: 33905602 DOI: 10.1111/ina.12841] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 04/08/2021] [Accepted: 04/09/2021] [Indexed: 06/12/2023]
Abstract
Secondhand electronic cigarette (e-cigarette) aerosol (SHA) might impair indoor air quality and expose bystanders. This study aims to investigate exposure to SHA in controlled conditions of enclosed settings simulating real-world scenario. An experiment was performed in a car and in a room, in which SHA was generated during a 30-minute ad libitum use of an e-cigarette. The experiment was replicated on five consecutive days in each setting. We measured PM2.5 , airborne nicotine concentrations, and biomarkers of exposure to SHA, such as nicotine metabolites, tobacco-specific nitrosamines, propylene glycol, and glycerol in bystanders' saliva samples before, during, and after the exposure period. Self-reported health symptoms related to exposure to SHA were also recorded. The results showed that the highest median PM2.5 concentration was recorded during the exposure period, being 21 µg/m3 in the room setting and 16 µg/m3 in the car setting-about twofold increase compared to the baseline. Most concentrations of the airborne nicotine and all biomarkers were below the limit of quantification in both settings. Bystanders in both settings experienced some short-term irritation symptoms, expressed as dry throat, nose, eyes, and phlegm. In conclusion, short-term use of an e-cigarette in confined spaces increased indoor PM2.5 level and caused some irritation symptoms in bystanders.
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Affiliation(s)
- Beladenta Amalia
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
| | - Marcela Fu
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Consortium for Biomedical Research in Respiratory Diseases (CIBERES), Madrid, Spain
| | - Olena Tigova
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Consortium for Biomedical Research in Respiratory Diseases (CIBERES), Madrid, Spain
| | - Montse Ballbè
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- Consortium for Biomedical Research in Respiratory Diseases (CIBERES), Madrid, Spain
- Addictions Unit, Institute of Neurosciences, Hospital Clínic de Barcelona, Barcelona, Spain
| | - Yolanda Castellano
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Consortium for Biomedical Research in Respiratory Diseases (CIBERES), Madrid, Spain
| | - Sean Semple
- Institute for Social Marketing, University of Stirling, Stirling, Scotland
| | - Luke Clancy
- TobaccoFree Research Institute Ireland, Dublin, Ireland
| | | | - Maria J López
- Evaluation and Intervention Methods Service, Agència de Salut Pública de Barcelona, Barcelona, Spain
- CIBER de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Research group on Evaluation of Public Health Policies and Programs, Institut d'Investigació Biomèdica Sant Pau (IIB St. Pau), Barcelona, Spain
| | - Nuria Cortés
- Laboratory, Agència de Salut Pública de Barcelona, Spain
| | - Raúl Pérez-Ortuño
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - José A Pascual
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
- Department of Experimental and Health Sciences, University Pompeu Fabra, Barcelona, Spain
| | - Esteve Fernández
- Tobacco Control Unit, Catalan Institute of Oncology-ICO, WHO Collaborating Centre for Tobacco Control, L'Hospitalet de Llobregat, Barcelona, Spain
- Tobacco Control Research Group, Bellvitge Biomedical Research Institute-IDIBELL, L'Hospitalet de Llobregat, Barcelona, Spain
- School of Medicine and Health Sciences, University of Barcelona, Barcelona, Spain
- Consortium for Biomedical Research in Respiratory Diseases (CIBERES), Madrid, Spain
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11
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Patanavanich R, Aekplakorn W, Glantz SA, Kalayasiri R. Use of E-Cigarettes and Associated Factors among Youth in Thailand. Asian Pac J Cancer Prev 2021; 22:2199-2207. [PMID: 34319044 PMCID: PMC8607077 DOI: 10.31557/apjcp.2021.22.7.2199] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2021] [Accepted: 07/09/2021] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The study explored e-cigarette use among youth and associated factors in Thailand. METHODS This was a cross sectional study of 6,045 seventh grade students selected using a multistage design. Self-administered questionnaires relating to the socio-demographic characteristics, history of cigarette and e-cigarette uses, friends' and family's use of e-cigarettes, knowledge and perception of e-cigarette use, history of alcohol uses, and life assets were gathered. Multivariate logistic regression models were used to examine the variables and their association with e-cigarette use. RESULTS Prevalence of ever e-cigarette use was 7.2% and current e-cigarette use was 3.7%. We found that current cigarette smoking (AOR 4.28, 95% CI: 2.05-8.94), parental e-cigarette use (AOR 6.08, 95% CI: 2.81-13.17), peer e-cigarette use (AOR 3.82, 95% CI: 2.19-6.65), peer approval of smoking (AOR 1.95, 95% CI: 1.11-3.41), and unaware of e-cigarettes' risk (AOR 5.25, 95% CI: 2.67-10.34). were significantly associated with current use of e-cigarettes. Male sex, poor academic achievement, and poor life assets (power of wisdom) were only significantly associated with ever e-cigarette use. CONCLUSION Prevalence of current e-cigarette use among Thai middle school students did not change significantly since the government banned importation and sales of e-cigarettes in 2015, suggesting that the Thai ban has been a success. Factors associated with e-cigarette use among Thai youth were consistent with other countries. Ever e-cigarette use, increased, but less than in countries without a ban. To strengthen efforts to prevent youth from e-cigarette use and addiction, the government should improve law enforcement, especially against online marketing and strengthen school-based anti-smoking programs to include e-cigarette lessons, educating parents and the public about the harm of e-cigarettes, including secondhand effects on non-users. .
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Affiliation(s)
- Roengrudee Patanavanich
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
| | - Wichai Aekplakorn
- Department of Community Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.
| | - Stanton A Glantz
- Center for Tobacco Control Research and Education (retired), University of California San Francisco, San Francisco, US.
| | - Rasmon Kalayasiri
- Department of Psychiatry, Faculty of Medicine Chulalongkorn University, Bangkok, Thailand.
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12
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Jarrell ZR, Smith MR, He X, Orr M, Jones DP, Go YM. Firsthand and Secondhand Exposure Levels of Maltol-Flavored Electronic Nicotine Delivery System Vapors Disrupt Amino Acid Metabolism. Toxicol Sci 2021; 182:70-81. [PMID: 34009373 DOI: 10.1093/toxsci/kfab051] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Electronic nicotine delivery system (ENDS) use has become a popular, generally regarded as safe, alternative to tobacco use. The e-liquids used for ENDS vapor generation commonly contain flavoring agents, such as maltol, which have been subjected to little investigation of their effects on lung health from ENDS usage. In the present study, we examined the impacts of firsthand (3.9 mM) and secondhand (3.9 µM) exposure levels to maltol-flavored ENDS vapors on lung metabolism. Human lung bronchial epithelial cells were exposed to ENDS vapors using a robotic system for controlled generation and delivery of exposures, and the effects on metabolism were evaluated using high-resolution metabolomics. The results show that maltol in e-liquids impacts lung airway epithelial cell metabolism at both firsthand and secondhand exposure levels. The effects of maltol were most notably seen in amino acid metabolism while oxidative stress was observed with exposure to all ENDS vapors including e-liquids alone and maltol-contained e-liquids. Many effects of firsthand exposure were also observed with secondhand exposure, suggesting need for systematic investigation of both firsthand and secondhand effects of flavored ENDS vapors on lung metabolism and risk of lung disease.
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Affiliation(s)
- Zachery R Jarrell
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
| | - Matthew Ryan Smith
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
| | - Xiaojia He
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
| | - Michael Orr
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
| | - Dean P Jones
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
| | - Young-Mi Go
- Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, Georgia 30322
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13
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Toxicology of flavoring- and cannabis-containing e-liquids used in electronic delivery systems. Pharmacol Ther 2021; 224:107838. [PMID: 33746051 DOI: 10.1016/j.pharmthera.2021.107838] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 03/11/2021] [Indexed: 12/15/2022]
Abstract
Electronic cigarettes (e-cigarettes) were introduced in the United States in 2007 and by 2014 they were the most popular tobacco product amongst youth and had overtaken use of regular tobacco cigarettes. E-cigarettes are used to aerosolize a liquid (e-liquid) that the user inhales. Flavorings in e-liquids is a primary reason for youth to initiate use of e-cigarettes. Evidence is growing in the scientific literature that inhalation of some flavorings is not without risk of harm. In this review, 67 original articles (primarily cellular in vitro) on the toxicity of flavored e-liquids were identified in the PubMed and Scopus databases and evaluated critically. At least 65 individual flavoring ingredients in e-liquids or aerosols from e-cigarettes induced toxicity in the respiratory tract, cardiovascular and circulatory systems, skeletal system, and skin. Cinnamaldehyde was most frequently reported to be cytotoxic, followed by vanillin, menthol, ethyl maltol, ethyl vanillin, benzaldehyde and linalool. Additionally, modern e-cigarettes can be modified to aerosolize cannabis as dried plant material or a concentrated extract. The U.S. experienced an outbreak of lung injuries, termed e-cigarette, or vaping, product use-associated lung injury (EVALI) that began in 2019; among 2,022 hospitalized patients who had data on substance use (as of January 14, 2020), 82% reported using a delta-9-tetrahydrocannabinol (main psychoactive component in cannabis) containing e-cigarette, or vaping, product. Our literature search identified 33 articles related to EVALI. Vitamin E acetate, a diluent and thickening agent in cannabis-based products, was strongly linked to the EVALI outbreak in epidemiologic and laboratory studies; however, e-liquid chemistry is highly complex, and more than one mechanism of lung injury, ingredient, or thermal breakdown product may be responsible for toxicity. More research is needed, particularly with regard to e-cigarettes (generation, power settings, etc.), e-liquids (composition, bulk or vaped form), modeled systems (cell type, culture type, and dosimetry metrics), biological monitoring, secondhand exposures and contact with residues that contain nicotine and flavorings, and causative agents and mechanisms of EVALI toxicity.
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14
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McDonough SR, Rahman I, Sundar IK. Recent updates on biomarkers of exposure and systemic toxicity in e-cigarette users and EVALI. Am J Physiol Lung Cell Mol Physiol 2021; 320:L661-L679. [PMID: 33501893 DOI: 10.1152/ajplung.00520.2020] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023] Open
Abstract
Electronic nicotine delivery systems (ENDS), or e-cigarettes, are emerging tobacco products that produce aerosols by heating e-liquids, which most often consist of propylene glycol and vegetable glycerin along with various flavoring compounds, bypassing the combustion that occurs in the use of traditional tobacco cigarettes. These products have seen a drastic increase in popularity in recent years both as smoking cessation devices as well as among younger generations, due in large part to the widespread perception among consumers that e-cigs are significantly less harmful to health than traditional tobacco cigarettes. Due to the novelty of ENDS as well as their rapidly increasing use, research into biomarkers of e-cig exposure and toxicity have lagged behind their popularity, leaving important questions about their potential toxicity unanswered. Research into potential biomarkers of acute and chronic e-cig use, and e-cigarette- or vaping-associated lung injury is necessary for informing both clinical and regulatory decision-making. We aim to provide an updated review of recent research into potential circulating, genomic, transcriptomic, and epigenetic biomarkers of exposure to and toxicity of e-cigs. We additionally highlight research areas that warrant additional study to gain a better understanding of health risks associated with ENDS use, as well as to provide validation of existing data and methods for measuring and analyzing e-cig-associated biomarkers in human and animal biofluids, tissues, and cells. This review also highlights ongoing efforts within the WNY Center for Research on Flavored Tobacco for research into novel biomarkers in extracellular vesicles that may be associated with short- and long-term ENDS use.
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Affiliation(s)
- Samantha R McDonough
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York
| | - Irfan Rahman
- Department of Environmental Medicine, University of Rochester Medical Center, Rochester, New York
| | - Isaac Kirubakaran Sundar
- Division of Pulmonary, Critical Care and Sleep Medicine, Department of Internal Medicine, University of Kansas Medical Center, Kansas City, Kansas
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15
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Room air constituent concentrations from use of electronic nicotine delivery systems and cigarettes using different ventilation conditions. Sci Rep 2021; 11:1736. [PMID: 33462299 PMCID: PMC7814121 DOI: 10.1038/s41598-021-80963-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Accepted: 12/23/2020] [Indexed: 01/22/2023] Open
Abstract
To assess potential exposure of non-users to exhaled constituents from pod and cartridge electronic nicotine delivery systems (ENDS) products, an environmental clinical study was conducted with (n = 43) healthy adult smokers. Room air concentrations of 34 selected constituents (nicotine, propylene glycol, glycerin, 15 carbonyls, 12 volatile organic compounds, and 4 trace metals) and particle number concentration (0.3 to 25 µm) were compared from use of two ENDS products and conventional cigarettes using room ventilations representative of a residential, an office or a hospitality setting over a 4-h. exposure period. Products used were JUUL ENDS, Virginia Tobacco flavor (Group I), VUSE Solo, Original flavor (Group II) (5.0 and 4.8% nicotine by weight, respectively) and subjects' own conventional cigarettes (Group III). Cumulative 4-h room air sampling and particle counting were performed during prescribed (Groups I and II) and ad libitum product use (all Groups). Conventional cigarette use resulted in significantly more constituents detected and higher 4-h cumulative constituent concentrations compared to use of the ENDS products tested, except for the predominant ENDS ingredients, propylene glycol and glycerin. Use of conventional cigarettes also resulted in greater total particle number concentration than either prescribed or ad libitum use of either of the ENDS used in this study.
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16
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McGrath-Morrow SA, Gorzkowski J, Groner JA, Rule AM, Wilson K, Tanski SE, Collaco JM, Klein JD. The Effects of Nicotine on Development. Pediatrics 2020; 145:peds.2019-1346. [PMID: 32047098 PMCID: PMC7049940 DOI: 10.1542/peds.2019-1346] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/05/2019] [Indexed: 01/08/2023] Open
Abstract
Recently, there has been a significant increase in the use of noncombustible nicotine-containing products, including electronic cigarettes (e-cigarettes). Of increasing popularity are e-cigarettes that can deliver high doses of nicotine over short periods of time. These devices have led to a rise in nicotine addiction in adolescent users who were nonsmokers. Use of noncombustible nicotine products by pregnant mothers is also increasing and can expose the developing fetus to nicotine, a known teratogen. In addition, young children are frequently exposed to secondhand and thirdhand nicotine aerosols generated by e-cigarettes, with little understanding of the effects these exposures can have on health. With the advent of these new nicotine-delivery systems, many concerns have arisen regarding the short- and long-term health effects of nicotine on childhood health during all stages of development. Although health studies on nicotine exposure alone are limited, educating policy makers and health care providers on the potential health effects of noncombustible nicotine is needed because public acceptance of these products has become so widespread. Most studies evaluating the effects of nicotine on health have been undertaken in the context of smoke exposure. Nevertheless, in vitro and in vivo preclinical studies strongly indicate that nicotine exposure alone can adversely affect the nervous, respiratory, immune, and cardiovascular systems, particularly when exposure occurs during critical developmental periods. In this review, we have included both preclinical and clinical studies to identify age-related health effects of nicotine exposure alone, examining the mechanisms underlying these effects.
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Affiliation(s)
- Sharon A. McGrath-Morrow
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, School of Medicine and
| | - Julie Gorzkowski
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois
| | - Judith A. Groner
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Department of Pediatrics, Nationwide Children’s Hospital, Columbus, Ohio
| | - Ana M. Rule
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland
| | - Karen Wilson
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Department of Pediatrics, Icahn School of Medicine at Mount Sinai and Kravis Children’s Hospital, New York, New York
| | - Susanne E. Tanski
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Department of Pediatrics, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire; and
| | - Joseph M. Collaco
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Eudowood Division of Pediatric Respiratory Sciences, Department of Pediatrics, School of Medicine and
| | - Jonathan D. Klein
- Julius B. Richmond Center of Excellence, American Academy of Pediatrics, Itasca, Illinois;,Department of Pediatrics, University of Illinois at Chicago, Chicago, Illinois
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17
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Hilpert M, Ilievski V, Coady M, Andrade-Gutierrez M, Yan B, Chillrud SN, Navas-Acien A, Kleiman NJ. A custom-built low-cost chamber for exposing rodents to e-cigarette aerosol: practical considerations. Inhal Toxicol 2019; 31:399-408. [PMID: 31797690 DOI: 10.1080/08958378.2019.1698678] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Abstract
Objectives: To (1) design and build a low-cost exposure chamber system for whole-body exposure of rodents to electronic cigarette aerosol, (2) provide detailed instructions with particular focus on automated e-cigarette activation, and (3) develop a simple mathematical model for aerosol levels in the exposure chamber.Methods: We built the system with standard laboratory equipment and an open-source electronics platform (Arduino) for e-cigarette activation. Arduino is used to control a solenoid, which pushes the activation button of so-called "Mod" e-cigarettes, and a pump to move the aerosol from the mouthpiece of the e-cigarette into the chamber. For "Pods" and "Cigalikes," the solenoid is not used as they are activated by the vacuum created by the pump. Aerosol concentrations were measured with a light-scattering laser photometer.Results: The system allows varying the air exchange rate, monitoring aerosol levels, and programing arbitrary puff topography. Aerosol concentrations observed for different chamber operating conditions (puff time and period, e-cigarette power output, air exchange rate) were consistent with the mathematical model.Conclusions: Our low-cost exposure chamber can be used in animal experimental studies of the health effects of e-cigarettes. Our model allows estimating design parameters such as chamber volume, air exchange rate, and puff period.
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Affiliation(s)
- Markus Hilpert
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Vesna Ilievski
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Maxine Coady
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | | | - Beizhan Yan
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
| | - Steven N Chillrud
- Lamont-Doherty Earth Observatory, Columbia University, Palisades, NY, USA
| | - Ana Navas-Acien
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
| | - Norman J Kleiman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, USA
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18
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Jain RB. Concentrations of urine cotinine and hydroxycotinine among US children, adolescents, and adults: data from NHANES 2013–2014. Biomarkers 2019; 24:757-763. [DOI: 10.1080/1354750x.2019.1684563] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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