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. 2019 Jun 1;41(2):354-361.
doi: 10.1093/pubmed/fdy082.

Association of e-cigarette use with oral health: a population-based cross-sectional questionnaire study

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Association of e-cigarette use with oral health: a population-based cross-sectional questionnaire study

Priyanka Huilgol et al. J Public Health (Oxf). .

Abstract

Background: The impact of daily or intermittent electronic cigarette (e-cigarette) use on oral health is unknown.

Methods: We performed a cross-sectional analysis using the 2016 Behavioral Risk Factor Surveillance System data. Poor oral health was determined by the number of permanent teeth removed due to non-traumatic causes, and e-cigarette use determined by daily or intermittent use within 30 days prior to survey administration. We performed logistic regression analysis to test associations between e-cigarette use and oral health with adjustment for factors associated with poor oral health, survey clustering, strata and weight.

Results: We included survey responses from 456 343 adults. Over half of respondents (51.5%) reported having at least one permanent tooth removed because of tooth decay or gum disease in their lifetime. Daily e-cigarette use was reported by 4957 (1.1%) of respondents. In multivariable analysis, daily e-cigarette use, was independently associated with a 78% higher odds of poor oral health (adjusted OR = 1.78, 95% CI: 1.39-2.30; P < 0.001).

Conclusions: In a population-based health survey of US adults, self-reported health behavior and outcomes, daily use, but not intermittent use of e-cigarettes was independently associated with poor oral health. Care must be exercised in seeking 'healthier' cigarette alternatives.

Keywords: electronic cigarettes; nicotine; oral health.

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Figures

Fig. 1
Fig. 1
Participant flow diagram. *Some subjects had data missing for both oral health and e-cigarette use.
Fig. 2
Fig. 2
Associations between clinical variables and poor oral health in BRFSS. Daily e-cigarette use, as well as other factors were independently associated with poor oral health in a logistic regression model adjusting for all listed covariates.

Comment in

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