Electronic cigarette (e-cigarette) use is rapidly increasing among youth and adults despite limited information regarding the long-term risks or benefits. The potential impact of e-cigarette use on public health is complex. E-cigarettes are sometimes considered as smoking cessation aids and, to the extent that they are successful in this regard, could have a net population benefit for adult smokers. However, limited knowledge exists about the long-term health effects of e-cigarette use, and research has suggested these novel tobacco products may lead to initiation and continued use among vulnerable populations, including youth. The current review aimed to summarize trends and available scientific information about e-cigarette use, focusing on the potential cardiovascular health risks and benefits, characteristics associated with e-cigarette use, and critical areas for future investigation to inform the research and clinical work of psychologists. Psychologists have a leadership role in mitigating health risks from smoking behavior, and there is a need for rigorous research assessing the impact of e-cigarette use on population health. In addition, psychologists are uniquely qualified to understand the underlying processes regarding decision-making and behaviors around e-cigarette use. Collectively, the research of psychologists in this area can have a substantial impact on patient education, policies, and the development of prevention and intervention programs to promote public health. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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http://dx.doi.org/10.1037/amp0000231 | DOI Listing |
Asian Pac J Cancer Prev
January 2025
Department of Rural Clinical Science, La Trobe Rural Health School, La Trobe University, Melbourne, Australia.
Objective: To compare the salivary profiles of smokers (e-cigarette smokers, e-cigarette and former conventional cigarette smokers, dual users, and conventional cigarette smokers) and non-smokers in adolescents, focusing on acidity level, flow rate, viscosity, as well as the quantity of Streptococcus mutans, Porphyromonas gingivalis, and Candida albicans.
Methods: This analytical observational study, with a cross-sectional design, involves collecting saliva samples from five groups through the draining method. Saliva viscosity was assessed visually, while saliva flow rate was monitored over a ten-minute period.
AJPM Focus
February 2025
Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, Florida.
Introduction: The growing prevalence of E-cigarette use among adolescents is alarming because it increases the probability of persistent tobacco use and addiction to nicotine. Healthcare providers are in a unique position to influence their patients' use of E-cigarettes. The purpose of the study is to determine the frequency at which providers screen adolescents for E-cigarette use and advise against use during healthcare visits.
View Article and Find Full Text PDFInt Dent J
January 2025
Research and Graduate Studies Department, Mohammed Bin Rashin University of Medicine and Health Sciences, Dubai, UAE. Electronic address:
Objectives: The use of electronic cigarettes "e-cigarettes," or vaping is growing in popularity, especially among adolescents and young adults. While the effects of cigarette smoking on oral health are well-established, the exact impact that e-cigarettes may have on dental tissues is still uncertain. The aim of the current review was to summarize evidence related to the effect of vaping on the periodontal health status of e-cigarette users.
View Article and Find Full Text PDFAddiction
January 2025
Centre for Pharmaceutical Medicine Research, Institute of Pharmaceutical Science, King's College London, London, UK.
J Racial Ethn Health Disparities
January 2025
Stephenson Cancer Center, and Department of Medicine, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Objective: This study examined the association of e-cigarette use status and history of depression among American Indian (AI) adults who smoke.
Method: We conducted a secondary data analysis using survey data from 375 AI adult smokers collected in 2016 at a tribally operated healthcare facility in northeast Oklahoma. Multivariable logistic regression was used to estimate the association between e-cigarette use and self-reported history of depression while adjusting for potential confounders.
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