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Electronic cigarette use in Greece: an analysis of a representative population sample in Attica prefecture.


ABSTRACT:

Background

The purpose was to assess prevalence and correlates of electronic cigarette (e-cigarette) use in Greece in 2017.

Methods

A cross-sectional survey of a representative sample of 4058 adults living in Attica prefecture (35% of the Greek adult population) was performed in May 2017 through telephone interviews. Prevalence and frequency of e-cigarette use were assessed according to the smoking status, and logistic regression analysis was performed to identify correlates of use.

Results

Current smoking was reported by 32.6% of participants. Ever e-cigarette use was reported by 54.1% (51.4-56.8%) of current smokers, 24.1% (21.7-26.5%) of former smokers and 6.5% (5.3-7.7%) of never smokers. Past experimentation was the most prevalent pattern of e-cigarette use among ever users (P?ConclusionsE-cigarette use in Greece is largely confined to current or former smokers, while current use and nicotine use by never smokers is extremely rare. The majority of current e-cigarette users were former smokers. Most participants overestimate the harmfulness of e-cigarettes relative to smoking.

SUBMITTER: Farsalinos KE 

PROVIDER: S-EPMC5899338 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

Electronic cigarette use in Greece: an analysis of a representative population sample in Attica prefecture.

Farsalinos Konstantinos E KE   Siakas Georgios G   Poulas Konstantinos K   Voudris Vassilis V   Merakou Kyriakoula K   Barbouni Anastasia A  

Harm reduction journal 20180413 1


<h4>Background</h4>The purpose was to assess prevalence and correlates of electronic cigarette (e-cigarette) use in Greece in 2017.<h4>Methods</h4>A cross-sectional survey of a representative sample of 4058 adults living in Attica prefecture (35% of the Greek adult population) was performed in May 2017 through telephone interviews. Prevalence and frequency of e-cigarette use were assessed according to the smoking status, and logistic regression analysis was performed to identify correlates of us  ...[more]

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