Cited by 84Smoking Behavior and CessationGlobal Public Health Policies and EpidemiologyGlobal Cancer Incidence and Screening

Poly-tobacco use among adults in 44 countries during 2008-2012: evidence for an integrative and comprehensive approach in tobacco control

Agaku, Israel T., Filippidis, Filippos T., Vardavas, Constantine I., Odukoya, Oluwakemi O., Awopegba, Ayodeji J., Ayo-Yusuf, Olalekan A., Connolly, Gregory N.·2014·Drug and Alcohol Dependence

Abstract

Introduction The concurrent use of multiple tobacco products (i.e., poly-tobacco use) might hinder efforts to reduce overall tobacco use, particularly considering that use of some non-cigarette tobacco products may be popular in some regions due to social, cultural, or economic reasons. This study assessed poly-tobacco use patterns among persons aged ≥15 years old from 44 countries. Methods Data from 44 countries in all six World Health Organization regions were obtained from the 2008 to 2012 Global Adult Tobacco Surveys (n=19 countries), and the Special Eurobarometer 385 (77.1) survey, 2012 (n=25 countries). Correlates of poly-tobacco use were assessed using multivariate logistic regression analyses (p Results Overall prevalence of poly-tobacco use ranged from 0.8% (Mexico) to 11.9% (Denmark). In 28 countries, 20% or more of current smokers of manufactured cigarettes concurrently used at least one other tobacco product and this proportion was highest in India (66.2%) and lowest in Argentina (4.4%). After adjusting for other factors, the likelihood of being a poly-tobacco user among all respondents was lower among females (aOR=0.09; 95% CI: 0.08-0.11), and among respondents from upper-middle-income (aOR=0.53, 95% CI: 0.43-0.66), and lower-middle-income countries (aOR=0.64; 95% CI: 0.51-0.81) compared to high-income countries. Increased likelihood of poly-tobacco use was observed among respondents from the South-East Asian region compared to those from the European region (aOR…

Integrity signals

Registry

Crossref · 10.1016/j.drugalcdep.2014.03.003

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cited by

Sorted by citations

Authors
Agaku, I. T., Filippidis, F. T., Vardavas, C. I., Odukoya, O. O., Awopegba, A. J., Ayo-Yusuf, O. A., & Connolly, G. N.
Affiliations
  • Harvard University (US)
  • University of Lagos (NG)
  • Johns Hopkins University (US)
Corresponding author
Agaku, Israel T.
Venue
Drug and Alcohol Dependence
Publisher
Elsevier BV
Published
2014-06
Volume
139
Pages
60-70
ISSN
0376-8716 (ISSN-L)
OpenAlex
W2050380049
Cited by
84
References
0
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 14 · 2019: 9 · 2018: 12 · 2017: 9 · 2016: 4 · 2015: 12 · 2014: 4
FWCI
6.02
Type
journal article
Language
en
Open access
closed
Locations
  • Drug and Alcohol Dependence (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Harvard University
  • Centers for Disease Control and Prevention
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Global Public Health Policies and Epidemiology
  • Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
Keywords
polytobacco use, non-cigarette tobacco products, tobacco control, cigarette smoking, WHO regions, Global Adult Tobacco Survey
MeSH terms
Smoking Prevention, Adolescent, Adult, Aged, Data Collection, Female, Humans, Male, Middle Aged, Sex Factors, Smoking, Socioeconomic Factors, Global Health, Prevalence, Logistic Models, Young Adult, Tobacco Use

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review