Association between Regular Electronic Nicotine Product Use and Self-Reported Periodontal Disease Status: Population Assessment of Tobacco and Health Survey

Atuegwu, Nkiruka C.; Perez, Mario F.; Oncken, Cheryl; Thacker, Sejal; Mead, Erin L.; Mortensen, Eric M.

doi:10.3390/ijerph16071263

Cited by 47 publications

(53 citation statements)

References 34 publications

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“…In vitro studies have shown that e-cig aerosols can have detrimental effects on gingival epithelial cells and periodontal fibroblasts [ 31 ]. Although a cross-sectional study did not find significantly worse periodontal conditions in e-cig users than in never smokers [ 32 ], a recent study revealed that e-cig users have a higher risk of being diagnosed with gum disease and periodontal bone loss compared to subjects who have never used electronic nicotine delivery systems [ 33 ].…”

Section: The Link Between Periodontal Diseases and Systemic Conditmentioning

confidence: 99%

Periodontal Health and Systemic Conditions

et al. 2020

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According to the new classification proposed by the recent 2017 World Workshop on Periodontal and Peri-implant Diseases and Conditions, periodontitis, necrotizing periodontal diseases, periodontitis as a manifestation of systemic diseases, and systemic diseases or conditions affecting the periodontal supporting tissues, are considered as separate entities. Scientific evidence has demonstrated that periodontal diseases are not just simple bacterial infections but rather complex diseases of multifactorial complexity that interplay with the subgingival microbes, the host immune, and inflammatory responses. Despite dental plaque biofilm being considered the primary risk factor for periodontitis in the vast majority of patients that dentists encounter on a daily basis, there are other factors that can also contribute and/or accelerate pathologic progressive attachment loss. In this article, the authors aim to briefly review and discuss the present evidence regarding the association between periodontal diseases and systemic diseases and conditions.

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Section: The Link Between Periodontal Diseases and Systemic Conditmentioning

confidence: 99%

Periodontal Health and Systemic Conditions

et al. 2020

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“…Gingival pain was also reported more often by combustible cigarette smokers than by e‐cigarette users. However, although periodontal inflammation and self‐perceived oral symptoms were higher with cigarette smoke, it should be noted that e‐cigarettes also contributed to adverse periodontal health for their users as compared with non‐smokers (Atuegwu et al., 2019). The presence of humectants (propylene glycol (PG) and glycerol (GLY)) gives e‐liquid its high viscosity, which may promote its adherence to exposed surfaces, such as the soft and hard tissues of the oral cavity, as well as dental restoration materials.…”

Section: Introductionmentioning

confidence: 99%

Electronic cigarette vapor increases Streptococcus mutans growth, adhesion, biofilm formation, and expression of the biofilm‐associated genes

Rouabhia

Semlali

2020

Oral Diseases

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Objective It still not known whether electronic cigarettes (e‐cigarettes) contribute to dental caries. This study aimed to evaluate the effect of e‐cigarettes on the growth of Streptococcus mutans, the formation of biofilm, and the expression of certain virulence genes. Materials and Methods Streptococcus mutans cells were exposed or not to e‐cigarettes with and without nicotine or to cigarette smoke twice a day for 15 min each exposure period. The bacterial growth and the expression of glucosyltranferase, competence, and glucan‐binding genes were evaluated after 24 hr. Biofilm formation was assessed after 1, 2, and 3 days. S. mutans adhesion and growth to e‐cigarette exposed human teeth were assessed. Results We observed an increase in S. mutans growth with e‐cigarettes, mainly at the early culture period. This was confirmed by an increase of biofilm mass ranging from 8 ± 0.5 mg with the control to 47 ± 5 mg after six exposures to nicotine‐rich e‐cigarettes. S. mutans cells adhered better to e‐cigarette exposed teeth. E‐cigarettes increased the expression of glucosyltranferase, competence, and glucan‐binding genes. Conclusions E‐cigarettes increased the growth of S. mutans and the expression of virulent genes. E‐cigarettes promoted the adhesion to, and formation of biofilms on teeth surfaces.

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“…The long-term effects of e-cigarette use remain largely unknown, but e-cigarette aerosols contain toxins that can affect health [ 5 , 6 , 7 , 8 ]. There is increasing evidence that e-cigarettes may be associated with an increased risk of oral diseases [ 9 , 10 ], prediabetes [ 11 ], depression [ 12 , 13 ], asthma, chronic obstructive pulmonary disease (COPD) and respiratory symptoms [ 14 , 15 , 16 , 17 , 18 ]. Recently, the Centers for Disease Control and Prevention (CDC) reported multiple cases of e-cigarette or vaping product use-associated lung injury (EVALI), some of which resulted in deaths [ 19 ].…”

Section: Introductionmentioning

confidence: 99%

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

Atuegwu

Oncken

Laubenbacher

et al. 2020

IJERPH

Self Cite

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E-cigarette use is increasing among young adult never smokers of conventional cigarettes, but the awareness of the factors associated with e-cigarette use in this population is limited. The goal of this work was to use machine learning (ML) algorithms to determine the factors associated with current e-cigarette use among US young adult never cigarette smokers. Young adult (18–34 years) never cigarette smokers from the 2016 and 2017 Behavioral Risk Factor Surveillance System (BRFSS) who reported current or never e-cigarette use were used for the analysis (n = 79,539). Variables associated with current e-cigarette use were selected by two ML algorithms (Boruta and Least absolute shrinkage and selection operator (LASSO)). Odds ratios were calculated to determine the association between e-cigarette use and the variables selected by the ML algorithms, after adjusting for age, gender and race/ethnicity and incorporating the BRFSS complex design. The prevalence of e-cigarette use varied across states. Factors previously reported in the literature, such as age, race/ethnicity, alcohol use, depression, as well as novel factors associated with e-cigarette use, such as disabilities, obesity, history of diabetes and history of arthritis were identified. These results can be used to generate further hypotheses for research, increase public awareness and help provide targeted e-cigarette education.

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Association between Regular Electronic Nicotine Product Use and Self-Reported Periodontal Disease Status: Population Assessment of Tobacco and Health Survey

Cited by 47 publications

References 34 publications

Periodontal Health and Systemic Conditions

Periodontal Health and Systemic Conditions

Electronic cigarette vapor increases Streptococcus mutans growth, adhesion, biofilm formation, and expression of the biofilm‐associated genes

Factors Associated with E-Cigarette Use in U.S. Young Adult Never Smokers of Conventional Cigarettes: A Machine Learning Approach

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