The impact of media campaigns on smoking cessation activity: a Structural Vector Autoregression analysis
ABSTRACT To evaluate the effect of tobacco control media campaigns and pharmaceutical company-funded advertising for nicotine replacement therapy (NRT) on smoking cessation activity.
Multiple time series analysis using structural vector autoregression, January 2002-May 2010.
England and Wales.
Tobacco control campaign data from the Central Office of Information; commercial NRT campaign data; data on calls to the National Health Service (NHS) stop smoking helpline from the Department of Health; point-of-sale data on over-the-counter (OTC) sales of NRT; and prescribing data from The Health Improvement Network (THIN), a database of UK primary care records.
Monthly calls to the NHS stop smoking helpline and monthly rates of OTC sales and prescribing of NRT.
A 1% increase in tobacco control television ratings (TVRs), a standard measure of advertising exposure, was associated with a statistically significant 0.085% increase in calls in the same month (P = 0.007), and no statistically significant effect in subsequent months. Tobacco control TVRs were not associated with OTC NRT sales or prescribed NRT. NRT advertising TVRs had a significant effect on NRT sales which became non-significant in the seasonally adjusted model, and no significant effect on prescribing or calls.
Tobacco control campaigns appear to be more effective at triggering quitting behaviour than pharmaceutical company NRT campaigns. Any effect of such campaigns on quitting behaviour seems to be restricted to the month of the campaign, suggesting that such campaigns need to be sustained over time.
- SourceAvailable from: Sheldon Sloan
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- "The most common use of VAR for human data appears to be to analyze time-series data from neurophysiologic experiments (e.g., (Chen et al. 2011)). VAR has also been used to analyze time-series data from a variety of fields including ecology (Dhoray and Teelucksingh 2007), epidemiology (Hii et al. 2012), public health (Joyce and Grossman 1990; Langley et al. 2012), clinical medicine (Tschacher and Kupper 2002; Tsacher et al. 2003; Jones et al. 2008; Rosmalen et al. 2012; Bringmann et al. 2013), studies of human migration (Gorbey et al. 1999), models of gene regulatory networks (Lim et al. 2013), prediction of disease biomarkers (Rochon 2003), developing predictors of respiratory motion in robotic surgery (Ernst et al. 2013), and relating blood pressure to heart rate (Matsukawa and Wada 1997). "
ABSTRACT: Our previous finding of a fractal pattern for gastric pH and esophageal pH plus the statistical association of sequential pH values for up to 2 h led to our hypothesis that the fractal pattern encodes information regarding gastric acidity and that depending on the value of gastric acidity, the esophagus can signal the stomach to alter gastric acidity by influencing gastric secretion of acid or bicarbonate. Under our hypothesis values of gastric pH should provide information regarding values of esophageal pH and vice versa. We used vector autoregression, a theory-free set of inter-related linear regressions used to measure relationships that can change over time, to analyze data from 24-h recordings of gastric pH and esophageal pH. We found that in pH records from normal subjects, as well as from subjects with gastroesophageal reflux disease alone and after treatment with a proton pump inhibitor, gastric pH values provided important information regarding subsequent values of esophageal pH and values of esophageal pH provided important information regarding subsequent values of gastric pH. The ability of gastric pH and esophageal pH to provide information regarding subsequent values of each other was reduced in subjects with gastroesophageal reflux disease compared to normal subjects. Our findings are consistent with the hypothesis that depending on the value of gastric acidity, the esophagus can signal the stomach to alter gastric acidity, and that this ability is impaired in subjects with gastroesophageal reflux disease.07/2014; 2(7). DOI:10.14814/phy2.12051
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ABSTRACT: To characterise publically-funded tobacco control campaigns in England between 2004 and 2010 and to explore whether they were in line with recommendations from the literature in terms of their content and intensity. International evidence suggests that campaigns which warn of the negative consequences of smoking and feature testimonials from real-life smokers are most effective, and that four exposures per head per month are required to reduce smoking prevalence. Characterisation of tobacco control advertisements using a theoretically-based framework designed to describe advertisement themes, informational and emotional content and style. Study of the intensity of advertising and exposure to different types of advertisement using data on population-level exposure to advertisements shown during the study period. England. Television Ratings (TVRs), a standard measure of advertising exposure, were used to calculate exposure to each different campaign type. 89% of advertising was for smoking cessation; half of this advertising warned of the negative consequences of smoking, while half contained how-to-quit messages. Acted scenes featured in 72% of advertising, while only 17% featured real-life testimonials. Only 39% of months had at least four exposures to tobacco control campaigns per head. A theory-driven approach enabled a systematic characterisation of tobacco control advertisements in England. Between 2004 and 2010 only a small proportion of tobacco control advertisements utilised the most effective strategies - negative health effects messages and testimonials from real-life smokers. The intensity of campaigns was lower than international recommendations.Addiction 07/2013; 108(11). DOI:10.1111/add.12293 · 4.60 Impact Factor
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ABSTRACT: To measure the impact of the suspension of tobacco control mass media campaigns in England in April 2010 on measures of smoking cessation behaviour. Interrupted time series design using routinely-collected population-level data. Analysis of use of a range of types of smoking cessation support using segmented negative binomial regression. England. Use of non-intensive support: Monthly calls to the National Health Service (NHS) quitline (April 2005-September 2011), text requests for quit support packs (December 2007-December 2010), and web hits on the national smoking cessation website (January 2009-March 2011). Use of intensive cessation support: Quarterly data on the number of people setting a quit date and 4-week quitters at the NHS Stop Smoking Services (SSS) (quarter 1 2001-quarter 3 2011). During the suspension of tobacco control mass media spending, literature requests fell by 98% (95% CI: 96 to 99), and quitline calls and web hits fell by 65% (95% CI: 43 to 79) and 34% (95% CI: 11 to 50) respectively. The number of people setting a quit date and 4-week quitters at the SSS increased throughout the study period. The suspension of tobacco control mass media campaigns in England in 2012 appeared to markedly reduce use of smoking cessation literature, quitline calls and hits on the national smoking cessation website, but did not affect attendance at the Stop Smoking Services. Within a comprehensive tobacco control programme, mass media campaigns can play an important role in maximizing quitting activity.Addiction 12/2013; 109(6). DOI:10.1111/add.12448 · 4.60 Impact Factor