Evidence map›Paper›PMID 39448981›Full record

ArticleBMC public health2024

Challenges and solutions to banning the advertisement of unhealthy products: a qualitative study.

Marziyeh Najafi, Ali Mohammad Mosadeghrad, Mohammad Arab

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Marziyeh NajafiSocial Determinant of Health Research Center, Alborz University of Medical Sciences, Karaj, Iran.
Ali Mohammad MosadeghradDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad ArabDepartment of Health Management and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran. arabmoha@tums.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Unhealthy products (food, alcohol, tobacco) are among the main risk factors of non-communicable diseases. To discourage the consumption of these products, Iran has passed a law banning the advertisement of unhealthy products in all media and for all age groups. The purpose of the present study was to identify the challenges of this approach and provide evidence to facilitate the enforcement process and the participation of stakeholders. In this qualitative study participants were selected from the policymakers and experts involved in the banning of advertisements on unhealthy products in Iran. Semi-structured interviews were conducted with 24 specialists and experts. The participants were selected through purposive and snowball sampling. Identified challenges and solutions were divided into three categories and nine themes: external (political, social, and economic); interorganizational (mission and communication); and internal (planning, organization, leadership, and control). Banning the advertisement of unhealthy products involves many challenges due to the existence of key players with different roles and missions. If these challenges are not managed effectively, they will hinder the enforcement and success of this law. Therefore, it is necessary for policymakers and health system managers to take the necessary measures to remove these obstacles.

Indexed as

AdvertisingQualitative ResearchAlcoholic BeveragesFemaleFoodHumansInterviews as TopicIranMaleTobacco ProductsAdvertisementBanPolicyRestrictionUnhealthy products

Identifiers

PMID39448981
PMCPMC11515278

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.