Literature DB >> 23718949

Antismoking messages and intention to quit - 17 countries, 2008-2011.

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Abstract

Antismoking mass media campaigns can help reduce the prevalence of smoking by discouraging young persons from initiating smoking and by encouraging current smokers to quit. Smoking cessation is a multistage process; intention to quit smoking precedes quit attempts. To assess whether awareness of anti-cigarette smoking information in four mass media channels (television, radio, billboards, and newspapers or magazines) was significantly associated with a current cigarette smoker's intention to quit, CDC analyzed data from 17 countries that participated in the Global Adult Tobacco Survey (GATS). Logistic regression was used to analyze the relationship between awareness of antismoking messages and intent to quit smoking; odds ratios were adjusted to control for demographic factors, awareness of warning labels on cigarette packages, and awareness of tobacco advertisements. In nine of 17 countries, intent to quit was significantly associated with awareness of antismoking messages in a single media channel versus no awareness, with adjusted odds ratios ranging from 1.3 to 1.9. In 14 countries, intent to quit was significantly associated with awareness of messages in multiple channels versus no awareness, with adjusted odds ratios ranging from 1.5 to 3.2. Antismoking information in mass media channels can help reduce tobacco consumption by encouraging smokers to contemplate quitting and might be more effective when presented in multiple channels.

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Year:  2013        PMID: 23718949      PMCID: PMC4604857     

Source DB:  PubMed          Journal:  MMWR Morb Mortal Wkly Rep        ISSN: 0149-2195            Impact factor:   17.586


Antismoking mass media campaigns can help reduce the prevalence of smoking by discouraging young persons from initiating smoking and by encouraging current smokers to quit (1,2). Smoking cessation is a multistage process; intention to quit smoking precedes quit attempts (3). To assess whether awareness of anti-cigarette smoking information in four mass media channels (television, radio, billboards, and newspapers or magazines) was significantly associated with a current cigarette smoker’s intention to quit, CDC analyzed data from 17 countries that participated in the Global Adult Tobacco Survey (GATS). Logistic regression was used to analyze the relationship between awareness of antismoking messages and intent to quit smoking; odds ratios were adjusted to control for demographic factors, awareness of warning labels on cigarette packages, and awareness of tobacco advertisements. In nine of 17 countries, intent to quit was significantly associated with awareness of antismoking messages in a single media channel versus no awareness, with adjusted odds ratios ranging from 1.3 to 1.9. In 14 countries, intent to quit was significantly associated with awareness of messages in multiple channels versus no awareness, with adjusted odds ratios ranging from 1.5 to 3.2. Antismoking information in mass media channels can help reduce tobacco consumption by encouraging smokers to contemplate quitting and might be more effective when presented in multiple channels. GATS is an ongoing, nationally representative household survey of noninstitutionalized adults aged ≥15 years (4). This report used data from current cigarette smokers in 17 countries that participated in GATS during 2008–2011. Current smokers who were categorized as intending to quit included 1) persons who indicated they planned to quit smoking in the next month and 2) persons who indicated they were thinking about quitting smoking in the next 12 months. Survey questions asking whether current smokers noticed anti-cigarette smoking information during the last 30 days in any of four media channels (television, radio, billboards, and newspapers or magazines) were used to measure awareness of the messages. Logistic regression was used to analyze the relationship between awareness of antismoking messages and intention to quit smoking. Awareness of antismoking messages was classified into three categories: 1) did not notice antismoking information in any media channels; 2) noticed antismoking information in one of the four channels; and 3) noticed antismoking information in more than one of the channels. Because intention to quit and exposure to antismoking information might both be associated with demographic characteristics, variables for sex, age, residence, education, and socioeconomic status (5) were entered into the model. Additionally, to control for media influence, two indicators were entered into the model: whether the respondent noticed warning labels on cigarette packages in the last 30 days and whether the respondent was aware of protobacco marketing in the last 30 days. Awareness of protobacco marketing was measured by affirmative responses to a series of questions asking whether the respondent had noticed protobacco advertisements, promotions, or sponsorships in the last 30 days in various marketing channels (6). A total of 265,564 persons participated in the 17 country surveys. Response rates for the surveys ranged from 65.1% in Poland to 97.7% in Russia, with a median response rate of 93.6%.* Of the participants, 50,209 reported they were current smokers.† In all 17 countries, these respondents noticed antismoking information during the last 30 days in all four of the media channels (television, radio, billboards, and newspapers or magazines). More than half of respondents noticed antismoking information in at least one of the four media channels in all countries, and more noticed antismoking information on television compared with the other three media channels. Awareness of antismoking information on television was reported by >80% of smokers in four countries: Turkey (87.8%), Malaysia (86.7%), Vietnam (85.6%), and Mexico (82.8%). Awareness for radio was highest in Mexico (47.9%), followed by Malaysia (47.0%) and Uruguay (43.0%). Awareness for billboards ranged from 17.6% in Brazil to 73.9% in Malaysia, while awareness for newspapers or magazines ranged from 9.4% in Indonesia to 74.3% in Malaysia (Table 1).
TABLE 1

Prevalence of current smoking and selected characteristics of current cigarette smokers* aged ≥15 years — Global Adult Tobacco Survey, 17 countries, 2008–2011

CharacteristicBangladesh (N = 9,629)Brazil (N = 39,425)China (N = 13,354)Egypt (N = 20,924)India (N = 69,296)Indonesia (N = 8,305)






%(95% CI)%(95% CI)%(95% CI)%(95% CI)%(95% CI)%(95% CI)
All persons aged ≥15 yrs
 Current cigarette smoking prevalence14.2(13.2–15.2)16.9(16.5–17.4)27.7(26.2–29.2)16.3(15.7–17.0)5.8(5.5–6.2)34.8(33.2–36.4)
Current cigarette smokers
 % who intend to quit43.8(39.6–48.2)18.7(17.3–20.3)16.0(12.9–19.7)27.9(25.7–30.2)27.8(25.2–30.6)10.5(8.2–13.3)
 % who noticed antismoking information in last 30 days
  On television45.3(40.6–50.0)64.8(63.2–66.3)47.1(41.3–52.9)54.4(51.7–57.1)39.3(36.7–41.9)38.8(34.6–43.2)
  On radio16.8(13.4–20.8)32.3(30.8–33.8)6.3(4.2–9.2)17.1(15.3–19.1)17.9(15.9–20.0)5.5(4.3–7.0)
  On billboards22.6(19.4–26.3)17.6(16.3–18.8)20.8(16.8–25.5)28.3(25.9–30.9)25.2(23.0–27.5)32.1(28.2–36.3)
  In newspapers or magazines12.8(10.8–15.2)36.3(34.7–37.9)22.3(18.5–26.6)16.0(14.5–17.8)32.7(30.2–35.3)9.4(7.8–11.3)
  In any of the above four media channels55.1(50.2–59.9)72.0(70.5–73.4)56.7(50.7–62.6)65.3(62.8–67.8)58.6(55.8–61.4)51.6(47.0–56.1)
 % who noticed warning labels on cigarette packaging90.7(88.5–92.6)87.9(86.8–88.9)87.5(82.9–91.0)98.6(97.9–99.0)70.7(68.0–73.2)72.2(67.4–76.6)
 % who noticed protobacco marketing54.9(50.0–59.6)37.7(36.0–39.3)17.3(14.1–21.1)0.0§18.8(16.8–21.1)87.3(84.9–89.4)

Abbreviation: CI = confidence interval.

Current cigarette smokers included those who smoked manufactured cigarettes, handrolled cigarettes, or kreteks, daily or less frequently than daily.

Current smokers who were categorized as intending to quit included 1) persons who indicated they planned to quit smoking in the next month and 2) persons who indicated they were thinking about quitting smoking in the next 12 months.

All forms of tobacco advertising, promotions, and sponsorship are banned in Egypt, Thailand, and Vietnam.

What is already known on this topic? Mass media antismoking messages can help reduce tobacco consumption. What is added by this report? Among current smokers in nine of 17 countries surveyed, the association between intent to quit and awareness of antismoking messages in a single media channel versus no awareness was significant, with adjusted odds ratios ranging from 1.3 to 1.9. In 14 of the countries, the association between intent to quit and awareness of messages in multiple media channels versus no awareness was significant, with adjusted odds ratios ranging from 1.5 to 3.2. What are the implications for public health practice? Antismoking information in the mass media can reduce tobacco consumption by encouraging smokers to contemplate quitting and might be even more effective when presented in multiple media channels. Among the respondents, 10,439 said they intended to quit. In five of the 17 countries, the number of respondents intending to quit was >30% (43.8% in Bangladesh, 34.6% in Mexico, 33.7% in Uruguay, 31.7% in Poland, and 30.2% in Vietnam). Intention to quit smoking was <20% in five countries (18.7% in Brazil, 16.0% in China, 14.5% in Russia, 14.2% in Malaysia, and 10.5% in Indonesia). The proportion of respondents who noticed a warning label in the last 30 days was high in all countries, ranging from 70.7% in India to 97.9% in Romania. Wide variation was observed in the percentage of respondents who noticed any type of protobacco marketing in the last 30 days, ranging from 0.0% in three countries (Egypt, Thailand, and Vietnam) where all forms of tobacco advertising, promotions, and sponsorship are banned to 87.3% in Indonesia, where only the distribution of free samples of cigarettes is banned (6,7) (Table 1). In nine of the 17 countries, the association between intent to quit and awareness of antismoking messages in a single channel versus no awareness was significant, with adjusted odds ratios ranging from 1.3 to 1.9. The association between intent to quit and awareness of messages in multiple channels versus no awareness was significant in 14 of the 17 countries, with adjusted odds ratios ranging from 1.5 to 3.2. The strongest association (adjusted odds ratio: 3.2) was in Bangladesh (Table 2).
TABLE 2

Odds ratios for current cigarette smokers* who intend to quit†, by awareness of anti-cigarette smoking information — Global Adult Tobacco Survey, 17 countries, 2008–2011

Awareness of anti-cigarette smoking informationUnadjusted OROR adjusted by demographic variables§OR adjusted by demographic variables and noticing warning labelsOR adjusted by demographic variables, noticing warning labels, and noticing protobacco marketing




OR(95% CI)AOR(95% CI)AOR(95% CI)AOR(95% CI)
Bangladesh
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.3(0.9–1.8)1.3(0.9–1.9)1.3(0.9–2.0)1.4(0.9–2.1)
 Noticed anti-cigarette smoking information in multiple channels2.8(1.9–4.1)2.9(1.9–4.4)3.0(2.0–4.5)3.2(2.1–4.8)
Brazil
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.6(1.2–2.1)1.7(1.3–2.2)1.6(1.2–2.1)1.6(1.2–2.1)
 Noticed anti-cigarette smoking information in multiple channels2.0(1.6–2.5)2.1(1.6–2.6)1.9(1.5–2.4)2.0(1.6–2.5)
China
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.5(1.0–2.1)1.6(1.1–2.2)1.6(1.1–2.3)1.6(1.1–2.2)
 Noticed anti-cigarette smoking information in multiple channels1.7(1.2–2.4)2.0(1.4–2.9)2.1(1.5–3.0)2.1(1.5–3.0)
Egypt
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.1(0.8–1.3)1.1(0.8–1.4)1.1(0.8–1.4)1.1(0.8–1.4)
 Noticed anti-cigarette smoking information in multiple channels1.7(1.3–2.2)1.6(1.3–2.1)1.6(1.3–2.1)1.6(1.3–2.1)
India
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.7(1.2–2.2)1.8(1.3–2.4)1.7(1.3–2.4)1.8(1.3–2.4)
 Noticed anti-cigarette smoking information in multiple channels1.9(1.5–2.5)2.1(1.6–2.8)2.1(1.6–2.8)2.1(1.6–2.8)
Indonesia
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.8(1.2–2.7)1.8(1.2–2.8)1.7(1.1–2.6)1.9(1.2–3.1)
 Noticed anti-cigarette smoking information in multiple channels1.8(1.2–2.8)1.8(1.2–2.7)1.7(1.1–2.6)1.9(1.2–3.0)
Malaysia
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel0.3(0.1–1.2)0.4(0.1–1.4)0.4(0.1–1.3)0.4(0.1–1.3)
 Noticed anti-cigarette smoking information in multiple channels1.1(0.4–3.1)1.2(0.4–3.7)1.1(0.4–3.2)1.1(0.4–3.0)
Mexico
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.1(0.7–1.7)1.0(0.7–1.7)1.0(0.6–1.6)1.0(0.6–1.6)
 Noticed anti-cigarette smoking information in multiple channels1.4(1.0–2.1)1.4(0.9–2.1)1.4(0.9–2.1)1.3(0.9–2.0)
Philippines
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.8(1.2–2.5)1.7(1.2–2.4)1.7(1.2–2.4)1.7(1.2–2.4)
 Noticed anti-cigarette smoking information in multiple channels1.9(1.4–2.6)1.7(1.2–2.3)1.7(1.2–2.3)1.7(1.2–2.3)
Poland
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.9(1.4–2.6)1.9(1.4–2.7)1.9(1.4–2.6)1.9(1.4–2.6)
 Noticed anti-cigarette smoking information in multiple channels2.0(1.5–2.7)2.1(1.6–2.7)2.0(1.5–2.7)2.0(1.5–2.6)
Romania
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.8(1.1–2.9)1.8(1.1–3.0)1.9(1.1–3.0)1.9(1.1–3.1)
 Noticed anti-cigarette smoking information in multiple channels2.4(1.5–3.7)2.4(1.5–3.7)2.4(1.5–3.7)2.4(1.5–3.7)
Russia
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.4(1.1–1.9)1.4(1.0–1.8)1.4(1.0–1.8)1.3(1.0–1.7)
 Noticed anti-cigarette smoking information in multiple channels1.8(1.3–2.5)1.8(1.3–2.4)1.8(1.3–2.4)1.7(1.3–2.3)
Thailand
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.6(1.2–2.1)1.6(1.2–2.1)1.5(1.1–2.1)1.5(1.1–2.1)
 Noticed anti-cigarette smoking information in multiple channels2.1(1.5–2.8)2.0(1.5–2.7)2.0(1.4–2.7)2.0(1.4–2.7)
Turkey
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.4(0.9–2.2)1.4(0.9–2.2)1.4(0.9–2.2)1.4(0.9–2.2)
 Noticed anti-cigarette smoking information in multiple channels1.5(1.0–2.3)1.5(1.0–2.3)1.5(1.0–2.3)1.5(1.0–2.3)
Ukraine
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.3(1.0–1.8)1.2(0.9–1.7)1.2(0.9–1.7)1.2(0.9–1.7)
 Noticed anti-cigarette smoking information in multiple channels2.0(1.5–2.7)1.8(1.3–2.4)1.8(1.3–2.4)1.8(1.3–2.4)
Uruguay
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.0(0.6–1.7)1.0(0.6–1.8)1.0(0.6–1.8)1.0(0.6–1.8)
 Noticed anti-cigarette smoking information in multiple channels1.2(0.8–1.8)1.2(0.8–1.7)1.2(0.8–1.7)1.2(0.8–1.7)
Vietnam
 Did not notice anti-cigarette smoking information1.01.01.01.0
 Noticed anti-cigarette smoking information in one channel1.9(1.0–3.7)2.1(1.0–4.1)2.0(1.0–4.0)2.0(1.0–4.0)
 Noticed anti-cigarette smoking information in multiple channels2.8(1.5–5.2)2.9(1.5–5.7)2.8(1.4–5.5)2.8(1.4–5.5)

Abbreviations: OR = odds ratio; AOR = adjusted odds ratio; CI = confidence interval.

Current cigarette smokers included those who smoked manufactured cigarettes, handrolled cigarettes, or kreteks, daily or less frequently than daily.

Current smokers who were categorized as intending to quit included 1) persons who indicated they planned to quit smoking in the next month and 2) persons who indicated they were thinking about quitting smoking in the next 12 months.

Demographic variables were sex, urban/rural residence, age group, education, and socioeconomic status. Data for Brazil were not adjusted for education because measures of education were not comparable with the other countries.

The association between intent to quit smoking and awareness of anti-cigarette smoking information was not significant (p≥0.05).

Editorial Note

The World Health Organization Framework Convention on Tobacco Control requires countries to provide widely accessible, comprehensive information about the addictiveness, risks, and harms of exposure to tobacco smoke. Antismoking messages in the mass media are one means to accomplish this goal. Whereas awareness of antismoking messages demonstrates that the information has reached the public, smokers’ intentions to quit are an indicator of the effectiveness of those messages. Campaign reach, intensity, duration, and the content of messages might influence effectiveness (8). Research has shown that mass media campaigns might be ineffective if they do not meet a threshold for sufficient population exposure. Among the GATS countries included in this study, such a threshold might be difficult to overcome without the use of television, the primary media channel associated with the greatest exposure. The content of the messages also matters; messages that convey the adverse health effects of tobacco use and secondhand smoke exposure have been found to be more effective than other message types (8). The findings in this report are subject to at least six limitations. First, awareness of mass media antismoking messages does not directly measure the frequency or duration of exposure to specific messages. The extent of the mass media campaigns in the countries studied was not reported. Second, differences in content can be found in antismoking media messages as well as in protobacco marketing and warning labels on cigarette packages; these differences might account for differences in their association with intention to quit. Third, additional factors (e.g., increases in tobacco prices or smokefree laws) not controlled for in this analysis might influence whether smokers intend to quit (8). Fourth, different types of smoked tobacco products other than cigarettes are common in several countries (e.g., bidis in Bangladesh and India and shisha in Egypt, Turkey, and Ukraine). This report is limited to anti-cigarette smoking messages specifically and does not consider media messages aimed at the use of other types of smoked tobacco. Fifth, although intention to quit has been correlated with actual quit behavior (3,8), it is not a direct measure of quit behavior. Finally, the survey design is cross-sectional, and causality cannot be inferred from the associations described in this report. This report adds to the body of evidence showing that awareness of mass media antismoking messages can be associated with intent to quit smoking. Mass media campaigns also can help reduce smoking prevalence by stimulating discussion and changing social norms regarding tobacco use and secondhand smoke exposure and are a crucial element of comprehensive tobacco control programs (8,9). These global findings provide additional support for CDC’s Tips from Former Smokers mass media campaign (10).
  5 in total

Review 1.  Mass media campaigns to promote smoking cessation among adults: an integrative review.

Authors:  Sarah Durkin; Emily Brennan; Melanie Wakefield
Journal:  Tob Control       Date:  2012-03       Impact factor: 7.552

2.  The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change.

Authors:  C C DiClemente; J O Prochaska; S K Fairhurst; W F Velicer; M M Velasquez; J S Rossi
Journal:  J Consult Clin Psychol       Date:  1991-04

3.  Real people, real stories: a new mass media campaign that could help smokers quit.

Authors:  Nancy A Rigotti; Melanie Wakefield
Journal:  Ann Intern Med       Date:  2012-12-18       Impact factor: 25.391

4.  Adult awareness of tobacco advertising, promotion, and sponsorship--14 countries.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2012-05-25       Impact factor: 17.586

5.  Social determinants of health and tobacco use in thirteen low and middle income countries: evidence from Global Adult Tobacco Survey.

Authors:  Krishna M Palipudi; Prakash C Gupta; Dhirendra N Sinha; Linda J Andes; Samira Asma; Tim McAfee
Journal:  PLoS One       Date:  2012-03-16       Impact factor: 3.240

  5 in total
  12 in total

1.  Smokefree home rules and cigarette smoking intensity among smokers in different stages of smoking cessation from 20 low-and-middle income countries.

Authors:  Daniel Owusu; Megan Quinn; Kesheng Wang; Faustine Williams; Hadii M Mamudu
Journal:  Prev Med       Date:  2020-01-22       Impact factor: 4.018

2.  Recall of anti-tobacco advertisements and effects on quitting behavior: results from the California smokers cohort.

Authors:  Eric C Leas; Mark G Myers; David R Strong; C Richard Hofstetter; Wael K Al-Delaimy
Journal:  Am J Public Health       Date:  2015-02       Impact factor: 9.308

3.  FDA cigarette warning labels lower craving and elicit frontoinsular activation in adolescent smokers.

Authors:  Kathy T Do; Adriana Galván
Journal:  Soc Cogn Affect Neurosci       Date:  2015-04-17       Impact factor: 3.436

4.  Health Care Provider Intervention and Utilization of Cessation Assistance in 12 Low- and Middle-Income Countries.

Authors:  Daniel Owusu; Ke-Sheng Wang; Megan Quinn; Jocelyn Aibangbee; Rijo M John; Hadii M Mamudu
Journal:  Nicotine Tob Res       Date:  2019-01-04       Impact factor: 4.244

5.  Text to Quit China: An mHealth Smoking Cessation Trial.

Authors:  Erik Augustson; Michael M Engelgau; Shu Zhang; Ying Cai; Willie Cher; Richun Li; Yuan Jiang; Krystal Lynch; Julie E Bromberg
Journal:  Am J Health Promot       Date:  2016-01-05

6.  Association of Exposure to Court-Ordered Tobacco Industry Antismoking Advertisements With Intentions and Attempts to Quit Smoking Among US Adults.

Authors:  Onyema Greg Chido-Amajuoyi; Israel Agaku; Dale S Mantey; Robert K Yu; Sanjay Shete
Journal:  JAMA Netw Open       Date:  2020-07-01

7.  Willingness to quit tobacco smoking and its correlates among Indian smokers - Findings from Global Adult Tobacco Survey India, 2009-2010.

Authors:  Mahendra M Reddy; Srikanta Kanungo; Bijaya Nanda Naik; Sitanshu Sekhar Kar
Journal:  J Family Med Prim Care       Date:  2018 Nov-Dec

Review 8.  Waterpipe tobacco smoking: what is the evidence that it supports nicotine/tobacco dependence?

Authors:  Eiman Aboaziza; Thomas Eissenberg
Journal:  Tob Control       Date:  2014-12-09       Impact factor: 7.552

9.  Effect of tobacco control policies on intention to quit smoking cigarettes: A study from Beirut, Lebanon.

Authors:  Monique Chaaya; Rima Nakkash; Dahlia Saab; Lina Kadi; Rima Afifi
Journal:  Tob Induc Dis       Date:  2019-09-02       Impact factor: 2.600

10.  Factors Affecting the Intention to Quit among Women Smokers in Turkey.

Authors:  Omer Alkan; Aysenur Demir
Journal:  Asian Pac J Cancer Prev       Date:  2020-11-01
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