Evidence map›Paper›PMID 31582944›Full record

ArticleTobacco induced diseases2019

Cigarette retailer density around schools and neighbourhoods in Bali, Indonesia: A GIS mapping.

Putu A S Astuti, Ketut H Mulyawan, Susy K Sebayang, Ni Made D Kurniasari, Becky Freeman

Abstract read
In one paragraph

Article in Tobacco induced diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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.

Putu A S AstutiDepartment of Public Health and Preventive Medicine, Universitas Udayana, Denpasar, Indonesia.
Ketut H MulyawanDepartment of Public Health and Preventive Medicine, Universitas Udayana, Denpasar, Indonesia.
Susy K SebayangDepartment of Biostatistics and Population Studies, Universitas Airlangga, Banyuwangi, Indonesia.
Ni Made D KurniasariDepartment of Public Health and Preventive Medicine, Universitas Udayana, Denpasar, Indonesia.
Becky FreemanThe University of Sydney School of Public Health, Sydney, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe presence and density of tobacco retailers is associated with the perception of high availability of cigarettes and ease of purchase. Indonesia is the second largest cigarette market in the world with an increasing smoking rate among young people aged 10-18 years. Our study aims to assess density of cigarette outlets in neighbourhoods and around schools, and to evaluate correlation between retailer proximity to schools and retailer selling practices.

methodsWe conducted a geographical mapping and then an audit survey of 1000 randomly selected cigarette retailers in Denpasar, Bali, Indonesia. We measured neighbourhood retailer density, and retailer proximity to schools. We linked the coordinate data to the audit data to assess the association between retailer distance from schools with likelihood of selling tobacco to young people and selling single cigarette sticks.

resultsWe mapped 4114 cigarette retailers in Denpasar, the most common type was a kiosk, 3199 (77.8%), followed by mini market/convenience stores, 606 (14.7%). Retailer density was 32.2/km

conclusionsIn an unregulated retailer setting such as Indonesia, cigarette retailers are ubiquitous and selling to young people is commonplace. The Indonesian government should enforce the prohibition on selling to young people and should regulate cigarette retailers to reduce youth access to cigarettes.

Indexed as

cigarette retailersGISIndonesiaretailer densitytobacco control

Identifiers

PMID31582944
PMCPMC6770614

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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.