Literature DB >> 33806511

Is Youth Smoking Related to the Density and Proximity of Outdoor Tobacco Advertising Near Schools? Evidence from Indonesia.

Sri Handayani1, Enny Rachmani2, Kriswiharsi Kun Saptorini2, Yusthin Merianti Manglapy1, Abdillah Ahsan3, Dian Kusuma4.   

Abstract

BACKGROUND: Smoking was among the top contributors to deaths and disability as the prevalence among male adults remains high, and that among male youth increases in Indonesia. While local studies have shown high visibility of outdoor tobacco advertising around schools, the country still has no outdoor tobacco advertising ban.
OBJECTIVE: To examine the association between youth smoking behavior and measures of outdoor tobacco advertising density and proximity in Indonesia.
METHODS: We combined two primary data sources, including outdoor tobacco advertising and smoking behavior among male youth in Semarang city. We randomly selected and interviewed 400 male students at 20 high schools in the city. In addition, we interviewed 492 male adults who lived near the schools for comparison.
RESULTS: We found significant associations between smoking use among youth (but not among adults) and measures of outdoor tobacco advertising density and proximity in Semarang city. Youth at schools with medium and high density of outdoor tobacco advertising were up to 2.16 times more likely to smoke, compared to those with low density. Similarly, youth at senior high schools with proximity to outdoor tobacco advertising were 2.8 times more likely to smoke. Also, young people at poorer-neighborhood schools with a higher density of and proximity to outdoor tobacco advertising were up to 5.16 times more likely to smoke.
CONCLUSIONS: There were significant associations between smoking use among male youth (but not among male adults) and measures of outdoor tobacco advertising density and proximity in Indonesia. This highlights the need to introduce an outdoor tobacco advertising ban effectively, at least near schools.

Entities:  

Keywords:  Indonesia; adolescent; advertising; built environment; smoking; tobacco

Year:  2021        PMID: 33806511      PMCID: PMC7967388          DOI: 10.3390/ijerph18052556

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  19 in total

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4.  Reducing Disparities in Tobacco Retailer Density by Banning Tobacco Product Sales Near Schools.

Authors:  Kurt M Ribisl; Douglas A Luke; Doneisha L Bohannon; Amy A Sorg; Sarah Moreland-Russell
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5.  Association Between Receptivity to Tobacco Advertising and Progression to Tobacco Use in Youth and Young Adults in the PATH Study.

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Journal:  JAMA Pediatr       Date:  2018-05-01       Impact factor: 16.193

6.  Mixed-methods evaluation of a ban on tobacco advertising and promotion in Banyuwangi District, Indonesia.

Authors:  Susy K Sebayang; Desak Made Sintha Kurnia Dewi; Syifa'ul Lailiyah; Abdillah Ahsan
Journal:  Tob Control       Date:  2018-10-19       Impact factor: 7.552

7.  Receptivity to tobacco advertising and promotions among young adolescents as a predictor of established smoking in young adulthood.

Authors:  Elizabeth A Gilpin; Martha M White; Karen Messer; John P Pierce
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8.  Spatial analysis of outdoor tobacco advertisement around children and adolescents in Indonesia.

Authors:  Susy Katikana Sebayang; Desak Made Sintha Kurnia Dewi; Septa Indra Puspikawati; Erni Astutik; Soenarnatalina Melaniani; Dian Kusuma
Journal:  Glob Public Health       Date:  2021-01-18

9.  SEATCA Tobacco Industry Interference Index: a tool for measuring implementation of WHO Framework Convention on Tobacco Control Article 5.3.

Authors:  Mary Assunta; E Ulysses Dorotheo
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10.  Monitoring Compliance and Examining Challenges of a Smoke-free Policy in Jayapura, Indonesia.

Authors:  Wahyuti Wahyuti; Suci Hasairin; Sherly Mamoribo; Abdillah Ahsan; Dian Kusuma
Journal:  J Prev Med Public Health       Date:  2019-11-22
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  3 in total

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Journal:  Front Public Health       Date:  2022-05-30

2.  Is Exposure to Social Media Advertising and Promotion Associated with E-cigarette Use? Evidence from Indonesia.

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3.  Disparities in Obesity Rates among Adults: Analysis of 514 Districts in Indonesia.

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  3 in total

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