Evidence map›Paper›PMID 33402376›Full record

ArticleBMJ global health2021

Tobacco imagery in entertainment media: evolution of tobacco-free movies and television programmes rules in India.

Amit Yadav, Stanton A Glantz

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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3 · Its place in the literature

Who cites it

7 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

2 authors.

Amit YadavCenter for Tobacco Control Research and Education, University of California San Francisco, San Francisco, California, USA.ORCID 0000-0002-0638-2105
Stanton A GlantzCenter for Tobacco Control Research and Education, University of California San Francisco, San Francisco, California, USA stanton.glantz@sonic.net.ORCID 0000-0003-4620-6672

Funding

ANALYSIS OF TOBACCO INDUSTRY DOCUMENTSR01CA087472 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LING, PAMELA MAY · 2000 to 2018
$12.5M
NCI NIH HHS R01 CA087472
6 · The paper itself

Abstract

introductionTobacco imagery in films and television increased in India after it ended conventional tobacco advertising in 2004. The Ministry of Health and Family Welfare (MoHFW) introduced rules to eliminate this tobacco imagery in 2005 which took effect in amended form in 2012. This study presents the enablers and barriers in development and implementation of the regulations to curb tobacco imagery in films and television in India.

methodWe reviewed legislation, evolving regulations, parliamentary questions, judicial decisions, Bollywood trade publications and relevant news articles from 2003 to 2019 and interviewed key informants.

resultsBased on the WHO reports and civil society demands, the MoHFW issued a complete ban on tobacco imagery in movies and television programmes in 2005. The Ministry of Information and Broadcasting (MoIB) joined the film industry in opposing the rules. A filmmaker challenged the rules in court, which ruled that they violated constitutional freedoms. On appeal by MoHFW, the Supreme Court allowed the rules to take effect. Continuing opposition by MoIB and the film industry weakened the rules and delayed implementation until 2012. As of 2020, rather than a ban, all films with tobacco imagery require strong editorial justification, 100 s of antitobacco messages produced by the MoHFW, and a static health warning at the bottom of screen during tobacco imagery display. In 2015, less than 48% of movies had tobacco imagery compared with 89% in 2005.

conclusionsAlthough, not a ban, MoHFW, supported by local advocates and WHO, issued regulations that resulted in a substantial drop in on-screen tobacco imagery and increased exposure to antitobacco messages. India's experience informs WHO Framework Convention on Tobacco Control parties as they develop and implement policies to curb tobacco imagery in entertainment media.

Indexed as

Motion PicturesTobacco ProductsHumansIndiaTelevisionprevention strategiespublic healthqualitative study

Identifiers

PMID33402376
PMCPMC7786799

What OpenQuestion holds

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LicenceCC BY-NC
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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.