Evidence map›Paper›PMID 34131420›Full record

ArticleTobacco induced diseases2021

Cross-sectional survey of flavored cigarette use among adult smokers in Singapore.

Yvette van der Eijk, Xian Yi Ng, Jeong Kyu Lee

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 55% of its field
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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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

3 authors at 2 institutions in 1 country.

Yvette van der EijkSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Xian Yi NgSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
Jeong Kyu LeeSaw Swee Hock School of Public Health, National University of Singapore, Singapore.
National University Health System · SGNational University of Singapore · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionSingapore, a city-state with a multi-ethnic Asian population, has one of the world's largest market shares for cigarettes with added flavors, such as menthol and fruit, which increase the appeal of smoking. Little is known on the sociodemographic or smoking-related traits associated with flavored cigarette use in the Asian context.

methodsA cross-sectional survey was conducted in January-March 2020 of 1123 Singaporean adult (aged 21-69 years) current smokers using a self-completed online or postal questionnaire. We used descriptive statistics and bivariate analyses to compare the answers of flavored and non-flavored cigarette users and fitted a multivariate logistic regression model to identify correlates of flavored cigarette use.

resultsOf the respondents, 85.2% reported ever use and 52.7% of respondents with a regular brand reported current use of flavored cigarettes. Older age 40-49 years (AOR= 0.63) age ≥50 years (AOR=0.60), Indian ethnicity (AOR=0.39), and a moderate (AOR=0.57) or high (AOR=0.34) dependence level were correlated with non-flavored cigarette use, while female gender (AOR=2.53) and a later initiation age (16-20 years: AOR=1.72; age ≥21 years: AOR=2.19) were correlated with flavored cigarette use.

conclusionsConsistent with findings from other countries, flavored cigarette use in Singapore is associated with being younger in age, female, of a certain ethnicity (Malay or Chinese), and having a lower nicotine dependence level.

Indexed as

AsiaflavorsmentholSingaporesurvey

Identifiers

PMID34131420
PMCPMC8173988
OpenAlexW3166325005

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.