Potential effectiveness of anti-smoking advertisement types in ten low and middle income countries: Do demographics, smoking characteristics and cultural differences matter?
Introduction
Over 80% of the world's adult male smokers now live in low and middle income countries (Eriksen, MacKay, & Ross, 2012). In order to reduce global smoking prevalence as rapidly as possible, it is imperative to fully implement comprehensive evidence-based tobacco control strategies, such as those articulated in the WHO Framework Convention on Tobacco Control (FCTC). Anti-tobacco mass media campaigns increase quitting and reduce smoking prevalence in high-income countries (Durkin et al., 2012, National Cancer Institute, 2008) and are supported by FCTC Article 12 on public education and training (World Health Organization, 2003). Mass media campaigns directly prompt quitting in adult smokers, as well as reduce the broader social acceptability of smoking and build public support for the implementation of other key tobacco control policies (Durkin et al., 2012, Wakefield et al., 2010).
Recent reviews highlight that the effectiveness of anti-tobacco mass media campaigns depends upon the types of messages used and the extent to which campaigns can be funded to consistently reach the majority of the population (Durkin et al., 2012, National Cancer Institute, 2008). Population-based and advertisement (ad) rating studies of different message themes in high income countries indicate that negative health effects messages, most of which feature graphic imagery (visceral pictures of external and internal body parts riddled with smoking related disease), testimonial stories and/or elicit negative emotions, tend to be more effective than other message themes (Durkin et al., 2012, U.SDepartment of Health and Human Services, 2012). There is a small but growing body of evidence of the effectiveness of anti-tobacco mass media campaigns in low and middle income countries (Alday et al., 2010, Murukutla et al., 2011, Perl et al., 2011, Thrasher et al., 2011, Wakefield et al., 2013), although only one study has directly compared the effectiveness of different message types among adult smokers in such countries (Wakefield et al., 2013). That study found two ads containing graphic imagery, and a third showing a disgust-provoking simulation of the serious health effects of smoking, were rated consistently more positively on message acceptance and perceived ad effectiveness than an emotional story about the health effects of smoking and a simulation of the effects of emphysema, across 10 low and middle income countries (Wakefield et al., 2013). A limitation of the study was that all ads featured the negative health effects of smoking and there were only one or two representations of the different ad types. The current study aims to more fully explore the effects of different types of anti-tobacco ads, using a total of 37 ads in the same 10 countries.
As smoking prevalence differs across different demographic groups – for example by age, gender or socio-economic status (Eriksen et al., 2012) – it is often assumed that particular campaigns should be specifically designed for the highest prevalence subgroups. However, developing and producing many different ads for different subgroups requires substantial resources and erodes the amount of funding available to widely broadcast ads and reach the majority of smokers (Durkin et al., 2012, U.SDepartment of Health and Human Services, 2012). Campaigns specifically targeted to subgroups risk stigmatizing the targeted group by implicitly communicating to the public that this group is in particular need of the message (Hornik & Ramirez, 2006). Creating targeted messages for many different groups may also inadvertently reduce the potential for campaigns to support broader societal norm and policy change, due to public perceptions that the messages are of relevance only to specific subgroups (Hornik & Ramirez, 2006). Also, targeted campaigns may not perform better for a particular demographic subgroup than ‘common denominator’ ads that are relevant to a broad range of smokers (Durkin et al., 2012, Hornik and Ramirez, 2006, National Cancer Institute, 2008, U.SDepartment of Health and Human Services, 2012). Therefore, it has been suggested that if ‘common denominator’ messages are found to be equally effective across different demographic groups, a segmented strategy is unnecessary and not worth the potential risks as well as extra costs (Hornik & Ramirez, 2006).
Previous research in high income countries has found few differences between the response of different demographic groups to anti-smoking mass media campaigns among adolescents (National Cancer Institute, 2008, U.SDepartment of Health and Human Services, 2012) and adults (Bala et al., 2008, Durkin et al., 2012). A review of campaign effects in adolescents (National Cancer Institute, 2008) concluded that ad characteristics are more important than demographic characteristics in determining ad effectiveness, and that ads that perform well do so among many population groups. Consistent with this, in adults, negative health effects ads that have been found to be most effective across a broad range of smokers have also been found to be equally effective across different age groups and genders (Durkin et al., 2012). There is also emerging evidence these health effects ads are at least equally, if not more effective among lower income and lower educated smokers (Durkin et al., 2009, Durkin et al., 2011, Niederdeppe et al., 2011). Decisions about segmentation of campaign messages are particularly important for the development of campaigns in low and middle income countries, where funding is limited. Therefore this study aimed to examine whether certain types of negative health effects and non-health effects anti-smoking ads are more likely to be accepted and perceived as effective across a broad cross-section of smokers from low and middle income countries, or whether there are no ‘common denominator’ messages and only specific types of ads are effective for specific demographic subgroups.
It has been suggested that an efficient way of using funds available for anti-smoking campaigns in low and middle income countries is to adapt and/or recycle messages already used successfully in other jurisdictions to reduce costs associated with new campaign development (Cotter et al., 2010). However, it is possible that the success of some of these ads may be reduced within different countries due certain ads being culturally different (Wakefield et al., 2013). Communication theories indicate personal relevance or self-referencing where viewers relate events in the message back to their own life and behaviour (Burnkrant and Unnava, 1989, Burnkrant and Unnava, 1995) are important in determining message persuasiveness (Dunlop et al., 2008, Dunlop et al., 2010, Epstein, 2003, Green, 2008, Petty et al., 2005). Messages may have lower personal relevance and elicit less self-referencing among viewers if they include people and actors from cultures obviously different from their own. If smokers see people like themselves in the ad or if the story is more recognizable, messages may be more likely to be accepted and perceived as effective. Our study also aimed to examine whether cultural differences between the characters and contexts in the ad and the country in which it was tested affected the perceived impact of different types of anti-tobacco ads, and whether this differed by demographic and smoker subgroups.
Interest in quitting, quitting history and addiction level have also been found in some studies to influence responses to anti-tobacco mass media campaign messages. Those who have greater motivation to quit smoking and have made previous attempts to quit are more likely to perceive anti-smoking ads to be relevant and effective (Davis et al., 2011, Durkin and Wakefield, 2008, Niederdeppe et al., 2011, Veer et al., 2008), while those who smoke more or are more addicted tend to be less likely to report positive responses to anti-smoking messages (Davis et al., 2011, Strasser et al., 2009). Other studies have found more behaviourally-based responses to health effects anti-tobacco campaigns (i.e. quit attempts) to be more equally generated by sustained media campaign exposure irrespective of baseline interest in quitting (Borland and Balmford, 2003, Wakefield et al., 2011). The current study also aimed to examine if smokers in low and middle income countries who are more motivated to quit or who have previously tried to quit respond more positively, and heavier smokers less positively, to anti-smoking messages, and whether this differs depending on the type of message.
Section snippets
Design
Smokers in ten low and middle-income countries individually rated, and then discussed in a group, a set of ten anti-smoking television ads. Five ads were shown and rated in all countries, and the remaining five ads differed in each country, providing a total of 37 different anti-smoking ads across the 10 countries (online Appendix 1).
Participants
2399 daily cigarette smokers (including female bidi smokers in India; a bidi is small cigarette, locally produced in India and usually from cut tobacco rolled in
Message Acceptance
Table 3 indicates a significant effect of ad type for MA (χ2 = 300.91, p < 0.001) and Fig. 1 plots the adjusted proportions of positive response for each ad type overall and for each country. Post hoc comparisons showed Graphic Health Effects ads were significantly more likely to be rated highly on MA than all other ad types (covariate adjusted proportion 91%; all p values <0.001). Simulated Health Effects (85%), Emotional Health Effects Stories (85%) and Other Health Effects (84%) ads were all
Discussion
Overall, graphic health effects ads were most likely to be accepted and perceived as effective, followed by simulated health effects ads, health effects stories and other health effects ads. Non-health effects ads were the least likely to be accepted and perceived as effective overall. Consistent with our previous examination of a sub-set of these ads (Wakefield et al., 2013) graphic health effects ads were not only rated most highly overall, but were also least likely to show differential
Role of the funding source
This study was funded by the World Lung Foundation (WLF) as part of the Bloomberg Initiative. WLF contributed to the study design, facilitated data collection in each country, and contributed to manuscript preparation and the decision to submit this paper for publication.
Acknowledgements
We acknowledge the assistance of the International Anti-Tobacco Advertisement Rating Study Team for the coordination of data collection in each country: Bangladesh: Sandra Mullin, Tahir Turk; China: Yvette Chang, Winnie Chen; Egypt: Mohamed Elghamrawy, Stephen Hamill; India: Shefali Gupta, Sandra Mullin, Tahir Turk; Indonesia: Yvette Chang; Mexico: Jorge Alday, Claudia Cedillo; Philippines: Jorge Alday; Russia: Irina Morozova, Rebecca Perl; Turkey: Stephen Hamill, Mego Lien; Vietnam: Tom
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