Evidence map›Paper›PMID 38746596›Full record

ArticleTobacco use insights2024

Smoking Habits and Nicotine Dependence Among the General Lebanese Population Before and During Both the Economic Crisis and COVID-19 Pandemic.

Nina Rossa Haddad, Charbel B Aoun, Abdo Mghames, Mustafa Saleh, Mirna N Chahine

Abstract read
In one paragraph

Article in Tobacco use insights, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Nina Rossa HaddadFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Charbel B AounFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Abdo MghamesFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Mustafa SalehFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Mirna N ChahineFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Smoking habits have widely changed over time; however, they remain a well-known fashion that risks people's health. In addition, nicotine addiction depends on the interplay between several factors. Our study aimed to understand the smoking habits and nicotine dependence in the Lebanese population before (September 2019) and during (June 2020) the economic crisis and COVID-19 pandemic. Methods: This observational cross-sectional survey-based study included 1560 Lebanese individuals aged between 13 and 75 years old from June till October 2020. Data collection was performed through an electronic survey including patients' demographics and validated instruments to assess addiction to nicotine (CAGE, Four C's, Fagerström test, and Smoker's profile scores). Results: Out of 1560 participants, 794 (50.9%) were males. The mean age was 26.5 ± 11.69 years, and 67.8% were aged between 18 and 25 years old. We found that 865 (55.4%) participants were smokers. In addition, smoking cigarettes or vaping, significantly increased between September 2019 and June 2020. Our smoker group showed a high CAGE positivity ( Conclusion: During the economic crisis and the COVID-19 pandemic, the Lebanese population showed an increased prevalence of smoking, a high level of CAGE positivity, strong compulsion, and a significant lack of self-control when it came to quitting smoking. This strongly entails public health measures for smoking cessation through national awareness campaigns.

Indexed as

COVID-19economic crisisLebanonnicotine dependencesmoking habits

Identifiers

PMID38746596
PMCPMC11092306

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.