Evidence map›Paper›PMID 38172937›Full record

ArticleGlobalization and health2024

Association between Tobacco Industry Interference Index (TIII) and MPOWER measures and adult daily smoking prevalence rate in 30 countries.

Yuri Lee, Siwoo Kim, Min Kyung Kim, Ichiro Kawachi, Juhwan Oh

Open access · goldAbstract read
In one paragraph

Article in Globalization and health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
6.1field-weighted citation impact, top 4% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

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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 at 3 institutions in 4 countries.

Yuri LeeDepartment of Health and Medical Information, Myongji College, Seoul, Republic of Korea.
Siwoo KimInstitute of Environmental Medicine, SNU Medical Research Center, 103 Daehakro, Seoul, Republic of Korea.
Min Kyung KimEpidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, USA.
Ichiro KawachiJohn L. Loeb & Frances Lehman Loeb Professor of Social Epidemiology, Department of Social and Behavioral Sciences, Harvard School of Public Health, 677 Huntington Ave., 7th floor, Boston, MA, 02115, USA. ikawachi@hsph.harvard.edu.
Juhwan OhDepartment of Medicine, Seoul National University College of Medicine, 103 Daehakro, Seoul, Republic of Korea. oh328@snu.ac.kr.ORCID 0000-0003-0983-4872
Harvard University · USSeoul National University · KRUniversity of North Carolina at Chapel Hill · US

Funding

From Biological to Social Processes: Interdisciplinary Training in Life Course ResearchT32HD091058 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ROBERT A HUMMER, Amanda L Thompson · 2017 to 2026
$4.3M
NICHD NIH HHS T32 HD091058
6 · The paper itself

Abstract

backgroundThis study aimed to investigate the impact of tobacco industry interference on the implementation and management of tobacco control and the tobacco epidemic using the Tobacco Industry Interference Index (TIII) and MPOWER-a package of measures for tobacco control-and adult daily smoking prevalence in 30 countries.

methodsThe TIII was extracted from the Global Tobacco Industry Interference Index 2019 and Global Center for Good Governance in Tobacco Control (GGTC). MPOWER measures and adult daily smoking prevalence rate were extracted from the World Health Organization (WHO) report on the global tobacco epidemic in 2021. We assessed the ecological cross-lagged association between TIII and MPOWER scores and between TIII and age-standardized prevalence rates for adult daily tobacco users.

resultsTobacco industry interference was inversely correlated with a country's package of tobacco control measures (β = -0.088, P = 0.035). The TIII was correlated with weaker warnings about the dangers of tobacco (β = -0.016, P = 0.078) and lack of enforcement of bans on tobacco advertising promotion and sponsorship (β = -0.023, P = 0.026). In turn, the higher the TIII, the higher the age-standardized prevalence of adult daily tobacco smokers for both sexes (β = 0.170, P = 0.036). Adult daily smoking prevalence in males (β = 0.417, P = 0.004) was higher in countries where the tobacco industry received incentives that benefited its business.

conclusionWhere the interference of the tobacco industries was high, national compliance with the Framework Convention on Tobacco Control (FCTC) was lower, and the prevalence of adult daily smokers higher. National governments and global society must work together to minimize the tobacco industry's efforts to interfere with tobacco control policies.

Indexed as

SmokingSmoking CessationSmoking PreventionTobacco IndustryAdultFemaleHealth PolicyHumansMalePrevalenceTobacco ProductsWorld Health OrganizationFCTCMPOWERSmoking prevalenceTobacco IndustryTobacco Policy

Identifiers

PMID38172937
PMCPMC10765652
OpenAlexW4390534151

What OpenQuestion holds

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LicenceCC BY
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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.