Exposure to anti- and pro-tobacco advertising, promotions or sponsorships: Turkey, 2008.

INTRODUCTION: In 2008, Turkey became one of 26 countries with a complete ban on all forms of direct and indirect tobacco marketing. We assessed the level of exposure to anti- and pro-cigarette advertising and to cigarette promotions and sponsorships among various demographic groups in Turkey. METHODS: We used the data from the Global Adult Tobacco Survey (GATS), conducted in November 2008 in Turkey. The data consist of answers to GATS questions by 9030 respondents from a nationally representative, multistage probability sample of adults 15 years of age or older. To find differences in exposure to the advertising by sex, age, education level and smoking status, we analyzed responses to GATS questions about cigarette advertisements and anti-cigarette smoking information in various forms and through various advertising channels, during the 30 days before the survey, using bivariate analysis. RESULTS: Overall, 13.3% of respondents aged 15 years or older noticed some type of cigarette marketing during the 30 days before the survey: 7.1% saw advertisements, 5.3% saw promotions and 3.3% saw sports sponsorships. Men were more likely than women to have seen cigarette promotions (7.8% versus 3.0%) and sports sponsorships (5.3% versus 1.4%). Respondents aged 15-24 years were more likely than those aged 25 years or older to have seen cigarette advertisements (10.2% versus 6.2%), promotions (8.7% versus 4.4%) and sponsorships (6.6% versus 2.3%), respectively. Respondents were most likely to have seen cigarette advertisements on television (3.4%) or in shops (2.7%). In addition, 2.8% of respondents reported seeing a clothing item with a brand name or logo, 2.5% reported that they received free samples of cigarettes and 0.3% received gifts along with the purchase of cigarettes. Almost 9 of 10 survey respondents (88.8%) reported having noticed some anti-cigarette information during the 30 days before the survey. Most anti-cigarette information was seen on television (85.5%). The anti-cigarette information was seen by slightly more cigarette smokers (91.6%) than nonsmokers (87.6%). Persons with less than a primary education were less likely to notice anti-cigarette information than those with a higher level of education, in all examined media channels. CONCLUSIONS: Our findings showed a low prevalence of noticing cigarette marketing, which indicates high compliance with the Turkish law banning such marketing. GATS data provide an in-depth understanding of the level of exposure to pro- and anti-cigarette information in 2008 and they are of practical assistance to those who implement policies to reduce the demand for tobacco. The challenge now is to maintain rigorous enforcement. To do so requires ongoing surveillance to produce data on the effectiveness of the enforcement efforts.

A classification of user-generated content into consumer decision journey stages.

In the last decades, the availability of digital user-generated documents from social media has dramatically increased. This massive growth of user-generated content has also affected traditional shopping behaviour. Customers have embraced new communication channels such as microblogs and social networks that enable them not only just to talk with friends and acquaintances about their shopping experience, but also to search for opinions expressed by complete strangers as part of their decision making processes. Uncovering how customers feel about specific products or brands and detecting purchase habits and preferences has traditionally been a costly and highly time-consuming task which involved the use of methods such as focus groups and surveys. However, the new scenario calls for a deep assessment of current market research techniques in order to better interpret and profit from this ever-growing stream of attitudinal data. With this purpose, we present a novel analysis and classification of user-generated content in terms of it belonging to one of the four stages of the Consumer Decision Journey Court et al. (2009) (i.e. the purchase process from the moment when a customer is aware of the existence of the product to the moment when he or she buys, experiences and talks about it). Using a corpus of short texts written in English and Spanish and extracted from different social media, we identify a set of linguistic patterns for each purchase stage that will be then used in a rule-based classifier. Additionally, we use machine learning algorithms to automatically identify business indicators such as the Marketing Mix elements McCarthy and Brogowicz (1981). The classification of the purchase stages achieves an average precision of 74%. The proposed classification of texts depending on the Marketing Mix elements expressed achieved an average precision of 75% for all the elements analysed.

Identifying states of a financial market.

The understanding of complex systems has become a central issue because such systems exist in a wide range of scientific disciplines. We here focus on financial markets as an example of a complex system. In particular we analyze financial data from the S&P 500 stocks in the 19-year period 1992-2010. We propose a definition of state for a financial market and use it to identify points of drastic change in the correlation structure. These points are mapped to occurrences of financial crises. We find that a wide variety of characteristic correlation structure patterns exist in the observation time window, and that these characteristic correlation structure patterns can be classified into several typical "market states". Using this classification we recognize transitions between different market states. A similarity measure we develop thus affords means of understanding changes in states and of recognizing developments not previously seen.

Classification bias in commercial business lists for retail food stores in the U.S.

BACKGROUND: Aspects of the food environment such as the availability of different types of food stores have recently emerged as key modifiable factors that may contribute to the increased prevalence of obesity. Given that many of these studies have derived their results based on secondary datasets and the relationship of food stores with individual weight outcomes has been reported to vary by store type, it is important to understand the extent to which often-used secondary data correctly classify food stores. We evaluated the classification bias of food stores in Dun & Bradstreet (D&B) and InfoUSA commercial business lists. METHODS: We performed a full census in 274 randomly selected census tracts in the Chicago metropolitan area and collected detailed store attributes inside stores for classification. Store attributes were compared by classification match status and store type. Systematic classification bias by census tract characteristics was assessed in multivariate regression. RESULTS: D&B had a higher classification match rate than InfoUSA for supermarkets and grocery stores, while InfoUSA was higher for convenience stores. Both lists were more likely to correctly classify large supermarkets, grocery stores, and convenience stores with more cash registers and different types of service counters (supermarkets and grocery stores only). The likelihood of a correct classification match for supermarkets and grocery stores did not vary systemically by tract characteristics whereas convenience stores were more likely to be misclassified in predominately Black tracts. CONCLUSION: Researches can rely on classification of food stores in commercial datasets for supermarkets and grocery stores whereas classifications for convenience and specialty food stores are subject to some systematic bias by neighborhood racial/ethnic composition.

Social media basics for orthodontists.

One of the most common buzz words in today's online world is "social media." This article defines social media, explains why it is important to practicing orthodontists, and provides information about how doctors can incorporate it into their practices. Five of the most useful social media tools are described in detail, outlining the strengths, weaknesses, opportunities, and risks inherent in each.

Chestnuts and spring chickens: conflict and change in farmers market ideologies.

The taxonomy of farmers markets requires an update to encompass the expanding range of available options. Also absent from the literature is an appreciation of the connection between market types, ideological stances, social characteristics, and conflict-necessary for understanding the social processes, motivations, and expectations that create a farmers market. Our study of a long-standing farmers market on the verge of municipal revamping aims to unite these interests, with a focus on the diverse demographics and values of the social groups involved. We propose a synthetic two-dimensional scheme to classify U.S. farmers markets. Bourdieu's theory of distinction is instrumental in making sense of the diversity encountered.

Food references and marketing to children in Australian magazines: a content analysis.

The aim of this study was to assess the content and extent of food references and marketing within popular children's magazines in Australia. Sixteen popular Australian children's magazines were selected, as determined by readership and circulation data. Back copies of each magazine were purchased for publications released between January and December 2006 (n = 76). Each magazine was assessed for food references on the basis of 23 food categories and 7 food-referencing types and as either branded or non-branded food references. There were a high number of overall food references within the children's magazines, with the majority of these being for unhealthy food products (63.7% unhealthy versus 36.3% healthy foods, p < 0.001). The food groups with the highest proportion of branded food references, and therefore paid marketing, were ice cream and iced confection (85.6% branded references), fast food restaurant meals (83.4%), high-sugar drinks (78.9%) and snack foods (73.4%). Of all magazines, those targeting males and children aged 7-12 years had the highest proportion of unhealthy food references (78.1 and 69.8% unhealthy food references, respectively). Food references within children's magazines are common and skewed towards unhealthy foods. Children's high magazine readership rates and a lack of advertising and product placement regulations for magazines in Australia make this media an attractive target for food marketers. The timely establishment of food marketing regulations within magazines are recommended to prevent further expansion of food marketing in this area.

Market orientation: a concept for health libraries.

OBJECTIVES: This paper is the result of exploratory research forming part of ongoing study into the value and relevance of market orientation as a strategic option for library managers. The aim of the study is to gain an understanding of the concept of market orientation relative to the health library sector. METHODOLOGY: A focus group was used to gather data from health librarians working at different levels in the sector. The data was coded and categorized by an expert panel and analysed using a taxonomic map developed during the study. RESULTS: Health library professionals define and understand market orientation in the same way as the concept is defined in the management literature. Their understanding of the concept is developing. A greater emphasis is given to some aspects of market orientation than others. CONCLUSIONS: There are implications for further research. Methods used to measure market orientation in other domains are likely to be relevant for libraries. Research should be extended to different sectors to explore any cross-sector differences. Fostering an organizational culture that supports market orientation has implications for service management and development.

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