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

Sebayang, Susy Katikana; Dewi, Desak Made Sintha Kurnia; Lailiyah, Syifa’ul; Ahsan, Abdillah

doi:10.1136/tobaccocontrol-2018-054443

Cited by 25 publications

(36 citation statements)

References 12 publications

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“…We used STATA 14 to calculate the number of retailers with and without outdoor advertisement. Using Quantum GIS 2.8.1, we calculated the proximity of the cigarette retailers to the nearest school using their GPS locations and categorized distance from schools as <25 m, 25-100 m, 100.1-250 m, 250.1-500 m, and >500 m. The 25 m cut-off was used to evaluate the distance where outdoor tobacco advertisement were prohibited by Banyuwangi Regents' regulation 29 while distances of 100, 250 and 500 m were used to facilitate comparisons with other studies conducted in Indonesia and several countries in Asia 28,32,33 .…”

Section: Discussionmentioning

confidence: 99%

“…We conducted a geographical mapping of outdoor tobacco advertisement and cigarette retailers in these locations and interviewed owners/keepers of randomly selected retailers from the mapping between November and December 2017. Results of the tobacco advertisement assessment have been previously published 29 . The current study only analysed cigarette retailers.…”

Section: Methodsmentioning

confidence: 99%

“…We randomly selected for interview 150 of 180 consumer goods stores featuring outdoor tobacco advertisement 29 using a random selection command in Stata V.14. By selecting a sample from stores featuring outdoor tobacco advertisement instead of those observed with cigarette packs on display, we hoped to include more cigarette retailers that might be concealing their cigarettes.…”

Section: Phase 2: Survey Of Retail Owners/keepers Samplingmentioning

confidence: 99%

“…We have previously reported that 23.4% of all types of retailers placed outdoor tobacco advertisements on their stores 29 . The current study shows that a much higher percentage (73.1%) of cigarette retailers featured outdoor tobacco advertisements.…”

Section: Main Findingsmentioning

confidence: 99%

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Density of cigarette retailers near schools and sales to minors in Banyuwangi, Indonesia: A GIS mapping

Dewi¹,

Sebayang²,

Lailiyah³

2020

Tob. Induc. Dis.

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INTRODUCTION There are weak regulations and controls on tobacco sales to adolescents in Indonesia, and these may have contributed to the increase in smoking prevalence among adolescents in the country. Our study aims to calculate the density of cigarette retailers near schools and ascertain the factors associated with sales to minors. METHODS We conducted geographical mapping by recording the GPS position of cigarette retailers in 15 locations in Banyuwangi District, Indonesia, to assess the density and proximity of cigarette retailers to schools. We interviewed randomly selected retailers, from the geographical mapping, for information on sales to minors, the cheapest price cigarettes are sold and the most popular cigarette brand purchased by adolescents, as well as owners/keepers knowledge of the regulation regarding sales to minors. RESULTS We identified 770 retailers of consumer goods in the study location; 28.1% (216) sold cigarettes, with mean density of 1.1 cigarette retailers per 100 m. Of the cigarette retailers, 6.9% were located <25 m from schools and all schools had at least one retailer within a 250 m radius. Owners/keepers of 107 cigarette retailers agreed to be interviewed for information on sales to minors. Brands from Gudang Garam were the most popular among adolescents and the brand from Bentoel, part of British American Tobacco, was the cheapest. The median of the cheapest price sold was US$0.7 per pack. Only 43.6% of retailers ever refused to sell cigarettes to adolescents. Within a school complex, retailers' refusal to sell cigarettes to adolescents was higher than in other locations. CONCLUSIONS Schools in Banyuwangi are surrounded by cigarette retailers. Half of the retailers sell cigarettes at a price affordable by adolescents, attracting adolescents to initiate smoking. There needs to be strict regulation to control cigarette sales to minors, through zoning and licensing in Indonesia.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Phase 2: Survey Of Retail Owners/keepers Samplingmentioning

confidence: 99%

Section: Main Findingsmentioning

confidence: 99%

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Density of cigarette retailers near schools and sales to minors in Banyuwangi, Indonesia: A GIS mapping

Dewi¹,

Sebayang²,

Lailiyah³

2020

Tob. Induc. Dis.

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“…For global tobacco control, all this supports and justifies the crucial role of an effective ban on outdoor tobacco advertising in reducing exposure to tobacco marketing, particularly to young people. Even in settings that have had regulations to ban outdoor tobacco advertisements, implementation issues like low enforcement and compliance are likely to arise 8 . For Indonesia, this evidence should serve as a wakeup call for the government to ban outdoor tobacco advertisements, ideally a total ban but at least a near-school ban, in order to halt the increasing trend of smoking prevalence among youth 21,28 .…”

Section: Discussionmentioning

confidence: 99%

Visibility and hotspots of outdoor tobacco advertisement around educational facilities without an advertising ban: Geospatial analysis in Surabaya City, Indonesia

Megatsari¹,

Ridlo²,

Amir³

et al. 2019

Tob. Prev. Cessation

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INTRODUCTION Despite having over 60 million smokers in 2018, Indonesia still lacks tobacco control measures, including an outdoor tobacco advertising ban. This study aimed to provide evidence on the visibility and hotspots of advertisements around educational facilities in a city without a ban. METHODS We collected data on the locations of outdoor tobacco advertisements and schools and universities in Surabaya city. We conducted buffer and hotspots analyses using ArcMap. Using Getis-Ord Gi* statistics, hotspot analysis identifies significant clusters with a high number of advertisements. RESULTS We found 307 large and medium-sized outdoor tobacco advertisements and 1287 educational facilities (1199 schools, 88 universities). Almost 80% of those advertisements (237 units) were just 300 m away (10-minute walk) from primary schools and high schools in the city. More than half of all schools (652) and two-thirds of all universities (59) were inside hotspots where there were statistically significant clusters with a high number of advertisements. These hotspots were more densely populated and more-deprived areas. CONCLUSIONS There was high visibility of large and medium-sized outdoor tobacco advertisements around educational facilities in the city without the ban.

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Density of outdoor food and beverage advertising around gathering place for children and adolescent in East Java, Indonesia

Puspikawati

Dewi

Astutik

et al. 2020

Public Health Nutr.

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Objective: To survey outdoor food and beverage advertisements (‘F&B adverts’) for products that may be a risk factor for obesity, diabetes and cardiovascular diseases located in the vicinity of gathering places for children and adolescents. Design: We recorded the GPS coordinates of all F&B adverts visible from the streets at distances of 0–100, 100–300 and 300–500 m from facilities often used by children and adolescents. Those for unhealthy foods and beverages were identified. The density (number per square kilometre) of such advertisements was calculated and evaluated using hotspot analysis. Setting: The sub-districts Mulyorejo and Sukolilo in Surabaya city and the sub-districts Banyuwangi and Giri in Banyuwangi District, Indonesia. Participants: None. Results: The proportion of all outdoor advertisements that were F&B adverts was slightly higher in Banyuwangi than in Surabaya. Of the 570 F&B adverts recorded in Banyuwangi, 227 (39.8%) and 273 (47.9%) were for unhealthy foods and beverages, respectively. Of 960 F&B adverts in Surabaya, 271 (28.2%) and 445 (46.3%) were for unhealthy foods and beverages. In both regions, F&B advert density increased near gathering places for children and adolescents; all recreational areas had at least one set of advertisements for unhealthy beverages and food at 100–300 and 300–500 m. Both regions had one hotspot with significantly high numbers of unhealthy advertisements; Banyuwangi had one cold spot with a significantly low number of healthy advertisements. Conclusion: Regulations to control advertisements for unhealthy foods and beverages in areas frequented by children and adolescents are urgently needed.

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

Cited by 25 publications

References 12 publications

Density of cigarette retailers near schools and sales to minors in Banyuwangi, Indonesia: A GIS mapping

Density of cigarette retailers near schools and sales to minors in Banyuwangi, Indonesia: A GIS mapping

Visibility and hotspots of outdoor tobacco advertisement around educational facilities without an advertising ban: Geospatial analysis in Surabaya City, Indonesia

Density of outdoor food and beverage advertising around gathering place for children and adolescent in East Java, Indonesia

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