- Short report
- Open Access
Surveillance of tobacco retail density in Beirut, Lebanon using electronic tablet technology
© Salloum et al.; licensee BioMed Central Ltd. 2014
- Received: 22 January 2014
- Accepted: 14 February 2014
- Published: 17 February 2014
Lebanon has alarmingly high rates of tobacco use. The objective of this study is to examine the density of tobacco retail outlets and distance to schools as well as to survey retail pricing in a large district of Beirut, Lebanon.
We observed 100 tobacco retail outlets and collected data using iPad® technology. Store locations were recorded with Global Positioning System coordinates. The distances between all pairs of tobacco retail outlets and all schools were calculated. For 52% of tobacco outlets, the nearest distance to other tobacco retail outlets was < 50 meters and 17% were within a 100-meter radius of a school. We found a high proportion of tobacco retailers with close proximity to schools. The overall retailer density was 1.25 stores per 1,000 people.
These findings call for additional regulation including the establishment of strict density standards.
- Global Position System
- Retail Outlet
- Arab Region
- Outlet Density
- Retail Environment
The tobacco epidemic is a growing phenomenon in Lebanon and the greater Arab region in part due to a weak public health regulatory environment . The failure of public policy in responding to this epidemic has allowed the multinational tobacco industry nearly free rein for product marketing and promotion [2–4]. Despite a bleak outlook, glimmers of hope appeared over the past few years as Lebanon ratified the Framework Convention on Tobacco Control (FCTC) in 2005 and adopted its first comprehensive tobacco control policy measures in 2012 . These measures included a ban on all forms of advertising and sponsorship, effective March 2012, and a ban on indoor smoking in public places, effective September 2012.
Given the lack of strong surveillance systems, few studies have examined the tobacco regulatory environment in Lebanon or the Arab region . To our knowledge, only one previous study has reported on tobacco point-of-sale (POS) in the region, describing POS tobacco advertising and marketing, and POS industry activity . The aim of this study was to document tobacco retail outlet density, measured as the number of retailers per 1000 population, proximity of tobacco retailers to schools, and product pricing with the use of a novel electronic tablet tool.
We conducted observational store audits in Ras Beirut, a diverse mixed-use district of the capital city that is adjacent to the American University of Beirut. This high-income neighborhood (approximately 5 km2 in area and population of 80,000 ) is considered a main cultural and intellectual center within the city. The research area comprises 10 city sectors; printed maps of each sector were generated using Google Maps. After receiving a half-day training session, five university students canvassed the entire district with predetermined routes, marking the location of each store and assigning it a unique identification number, thus creating a census of all tobacco retail outlets (n = 100) in the Ras Beirut district. Next, the students conducted the interior and exterior audits and electronically recorded their observations. After excluding 3 stores that did not sell tobacco, 100 store audits were completed in June 2012. Tobacco retail outlets observed were all stores that sold cigarettes including small, convenience stores or mini markets; tobacco or liquor stores; bakeries; gas stations; and large or super markets. Additional details of our sampling strategy are reported elsewhere .
Store audit items were designed to solicit information on POS advertising, placement of tobacco products within each store, and advertised price per pack of Marlboro (top-selling premium brand) and Cedars (local/value brand). Our findings on product advertisement and placement are reported elsewhere . The store audit data and Global Positioning System (GPS) coordinates of the stores were recorded into a web form using internet-enabled tablet technology (iPad®). We used the ‘Where Am I At?’ © application (app) for iPhone®/iPad® to capture GPS coordinates.
Tobacco retailer density was calculated by dividing the number of stores by the area population and converted to a measure of the number of retailers per 1000 population. The point distance tool in ArcGIS (version 10, ESRI, Redland, CA, USA) was used to calculate the (1a) straight-line distance between each tobacco retail outlet and the next nearest tobacco retail outlet; (1b) the numbers of other tobacco retail outlets within a 50, 100, 200 and 400 meter radius of each outlet; and (2) straight line distance from each school to the nearest tobacco retail outlet as well as the numbers of tobacco retail outlets within a 100- and 200-meter radius of each school. We used GPS coordinates to generate a map of all retail outlets in Google Maps ©. Descriptive statistics were calculated using SAS software (version 9.3, SAS Institute Inc., Cary, NC, USA).
Price per pack and tobacco retail density
Store audits (n = 100)
Store type (%)
Large store or supermarket
Small grocery or convenience store, mini market
Price per pack in Lebanese Pounds (and USD equivalent)
Stores per 1,000 (age 15+)
Stores per 1,000 (age <15)
Stores per 1,000 (all ages)
Clustering of tobacco retail outlets (%)
≥ 1 other store(s) within 50 m radius
≥ 1 other store(s) within 100 m radius
≥ 1 other store(s) within 200 m radius
≥ 1 other store(s) within 400 m radius
Proximity to schools (%)
Stores within 100 m radius of school
Stores within 200 m radius of school
This was the first study in Lebanon and the region to assess several dimensions of POS tobacco sales, including pricing and proximity to schools. Further, our team employed an innovative approach for data collection. This is one of only a handful of POS audits to rely on electronic mobile input devices . In addition to a lack of compliance with the recent national advertising ban on tobacco products , our study found significant clustering of retailers, high retailer density (1.25/1000 population), and a high proportion of tobacco retailers located within close proximity (<200 m) to schools. Our findings of high tobacco retailer density were similar to results from audits conducted in the United States, Canada, China, India, and Guatemala [8–13]. The retail environment remains the least regulated channel of tobacco sales marketing worldwide and little is known on the potential impact of such regulation . In a region with a growing tobacco epidemic and a lack of regular surveillance channels, more research is needed on the tobacco retail environment. Our study was the first in Lebanon and the region to measure tobacco retailer density and proximity of tobacco retail outlets to schools. While an advertising ban has been implemented in Lebanon, the regulations did not establish density standards for tobacco retailers. These findings call for additional regulation to limit the locations, number, type, and density of tobacco retailers.
The authors would like to thank Mona Ascha, Allison Kratka, Jason Ni, Leighanne Oh, and Alessandro Recchia, who provided essential contributions and constructive criticisms during the data collection phase of this study.
Dr. Salloum was supported by the Cancer Care Quality Training Program from the National Cancer Institute at the National Institutes of Health under [grant R25 CA116339].
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