| Literature DB >> 20008156 |
Yan Yang1, Lin Li, Hua-Hie Yong, Ron Borland, Xi Wu, Qiang Li, Changbao Wu, Kin Foong.
Abstract
OBJECTIVE: To examine whether levels of, and factors related to, awareness of tobacco advertising and promotion differ across six cities in China.Entities:
Mesh:
Substances:
Year: 2009 PMID: 20008156 PMCID: PMC2989163 DOI: 10.1136/tc.2009.029868
Source DB: PubMed Journal: Tob Control ISSN: 0964-4563 Impact factor: 7.552
National level bans on advertising, promotion and sponsorship in China
| Areas | Banned |
| National television and radio | Yes |
| International television and radio | Yes |
| Local magazines/newspapers | Yes |
| International magazines/newspapers | Yes |
| Billboards/outdoor advertising | No |
| Point of sale | No |
| The internet | No |
| Free distribution | No |
| Promotional discounts | No |
| Non-tobacco products with tobacco brand names | No |
| Non-tobacco brand used for tobacco product | No |
| Appearance of tobacco products in television and/or films | No |
| Sponsored events | No |
| Enforcement |
For example, a brand of sports shoe on a pack of cigarettes.
Enforcement score represents the cumulative score out of a maximum of 10 from 5 experts who were asked to rank enforcement as minimal (0 points), moderate (1 point) or full (2 points). In the absence of any intervention, the enforcement score is not applicable. (Source: World Health Organization report on the global tobacco epidemic15).
Figure 1A tobacco advertisement from the website of the ‘Baisha Group’, promoting the ‘He’ (‘Harmonious’) brand of the cigarette company (at the top and in the middle of the web page), as well as its logo (‘Baisha’ with white cranes at bottom) (source: http://www.baisha.com/brand/exhibition/default.aspx).
Demographic and smoking-related characteristics of respondents
| Smokers (n=4763) | Non-smokers (n=1259) | |||
| n | % | n | % | |
| Gender | ||||
| Male | 4566 | 95.9 | 576 | 45.8 |
| Female | 197 | 4.1 | 683 | 54.2 |
| Ethnicity | ||||
| Han | 4536 | 95.2 | 1198 | 95.1 |
| Hui | 152 | 3.2 | 40 | 3.2 |
| Man | 57 | 1.2 | 12 | 0.9 |
| Others | 18 | 0.4 | 9 | 0.8 |
| Age | ||||
| 18–24 | 91 | 1.9 | 46 | 3.7 |
| 25–39 | 859 | 18.0 | 233 | 18.5 |
| 40–54 | 2268 | 47.6 | 493 | 39.2 |
| 55+ | 1544 | 32.4 | 487 | 38.7 |
| Education | ||||
| Low | 652 | 13.7 | 138 | 11.0 |
| Medium | 3153 | 66.3 | 735 | 58.4 |
| High | 950 | 20.0 | 386 | 30.6 |
| Income | ||||
| Low | 921 | 20.8 | 223 | 19.4 |
| Medium | 2156 | 48.8 | 592 | 51.6 |
| High | 1345 | 30.4 | 333 | 29.0 |
| Marital status | ||||
| Currently married/live with a partner | 4211 | 88.6 | 1112 | 88.8 |
| Currently single | 541 | 11.4 | 140 | 11.2 |
| Cigarettes per day | ||||
| 0–10 | 1658 | 35.0 | – | – |
| 11–20 | 23.8 | 48.7 | – | – |
| 21+ | 773 | 16.3 | – | – |
| Type of cigarettes smoked | ||||
| Factory-made only | 4459 | 93.8 | – | – |
| Roll your own only | 53 | 1.1 | – | – |
| Both | 241 | 5.1 | – | – |
Education: low, no schooling/elementary; medium, secondary; high, tertiary.
Income: low, <1000 yuan per month; medium, 1000–2999 yuan; high, ≥3000 yuan.
Unprompted recall (yes*) of noticing things that encourage smoking among the respondents in the six cities, by smoking status
| Smokers n=4753 | Non-smokers n=1257 | Total respondents n=6010 | ||||
| n | % | n | % | n | % | |
| Beijing | 327 | 41.2 | 45 | 20.6 | 372 | 36.8 |
| Shenyang | 377 | 47.8 | 73 | 37.4 | 450 | 45.7 |
| Shanghai | 307 | 39.0 | 83 | 40.7 | 390 | 39.2 |
| Changsha | 338 | 42.2 | 44 | 21.8 | 382 | 38.0 |
| Guangzhou | 191 | 24.0 | 23 | 10.3 | 214 | 21.0 |
| Yinchuan | 377 | 47.8 | 49 | 22.9 | 426 | 42.3 |
| Total | ||||||
This includes those who answered ‘once in a while’ and ‘often’; p<0.001 (χ2 test).
Prompted recall of tobacco advertising and promotional activities among smokers (n=4763), by city
| Total (n=4763), % | Beijing (n=793), % | Shenyang (n=789), % | Shanghai (n=792), % | Changsha (n=801), % | Guangzhou (n=795), % | Yinchuan (n=793), % | |
| Advertisements | |||||||
| Noticed tobacco ads (yes) | |||||||
| On television | 34.5 | 26.9 | 43.2 | 23.9 | 56.2 | 22.3 | 34.3 |
| On radio | 14.2 | 12.5 | 27.3 | 9.0 | 20.8 | 7.9 | 7.6 |
| On posters | 20.7 | 15.7 | 33.5 | 17.7 | 35.6 | 11.7 | 10.0 |
| On billboards | 33.4 | 20.4 | 51.2 | 35.4 | 59.8 | 17.2 | 16.5 |
| In newspapers, magazines | 19.1 | 18.1 | 28.6 | 16.3 | 28.3 | 13.3 | 10.1 |
| In cinema | 6.0 | 6.8 | 7.7 | 4.3 | 10.5 | 2.3 | 4.2 |
| Over the internet | 3.8 | 3.3 | 5.3 | 3.7 | 6.3 | 2.3 | 2.0 |
| At workplace | 11.1 | 11.4 | 18.5 | 8.1 | 18.6 | 6.0 | 4.2 |
| On transport vehicles, stations | 18.0 | 11.0 | 28.7 | 11.7 | 37.3 | 11.4 | 7.8 |
| In cafeterias/tea houses | 13.7 | 16.6 | 21.0 | 10.6 | 17.4 | 10.1 | 6.2 |
| In discos, karaoke lounges | 10.4 | 12.6 | 14.3 | 9.2 | 14.3 | 6.4 | 5.4 |
| At point of sale | |||||||
| In stores | 29.2 | 23.5 | 42.1 | 33.2 | 33.4 | 25.5 | 17.5 |
| Around street vendors | 20.3 | 17.0 | 34.1 | 17.8 | 23.6 | 18.0 | 11.1 |
| Any venue above | 62.6 | 48.9 | 78.0 | 62.4 | 79.8 | 52.0 | 54.6 |
| Mean (SE) number of venues noticed tobacco ad | 2.34 (0.04) | 1.96 (0.10) | 3.55 (0.11) | 2.00 (0.09) | 3.61 (0.11) | 1.55 (0.08) | 1.37 (0.07) |
| Sponsorships (yes) | |||||||
| Noticed sports sponsorship | 26.0 | 28.1 | 26.6 | 24.0 | 41.1 | 17.0 | 19.0 |
| Noticed arts sponsorship | 8.4 | 6.4 | 7.7 | 5.6 | 21.0 | 4.3 | 5.1 |
| Any type of sponsorship | 27.9 | 30.5 | 28.1 | 25.4 | 45.3 | 17.6 | 20.2 |
| Promotional activities (yes) | |||||||
| Noticed free samples of cigarettes | 13.8 | 8.2 | 15.1 | 7.1 | 14.2 | 9.7 | 28.5 |
| Special price offers for cigarettes | 12.9 | 10.7 | 15.2 | 9.0 | 13.9 | 10.9 | 17.7 |
| Gifts/discounts on other products | 22.5 | 23.5 | 16.0 | 27.9 | 12.3 | 35.2 | 20.3 |
| Clothing with cigarette brand name | 11.4 | 11.1 | 9.8 | 8.8 | 15.1 | 13.2 | 10.1 |
| Competitions linked to cigarettes | 8.5 | 5.4 | 10.6 | 5.4 | 13.9 | 3.8 | 12.0 |
| Any form of promotion | 38.5 | 33.3 | 35.3 | 35.4 | 35.3 | 42.2 | 49.4 |
| Total noticing advertising, sponsorship and promotion in any channel | 75.6 | 67.1 | 81.2 | 72.7 | 86.1 | 70.7 | 75.9 |
| Mean (SE) overall number of channels of advertising, sponsorship and promotion | 3.38 (0.05) | 2.89 (0.12) | 4.56 (0.15) | 2.88 (0.11) | 4.93 (0.15) | 2.49 (0.11) | 2.49 (0.09) |
Group differences for all the individual variables of interest are significant at p<0.01 level based on Pearson χ2 test.
Sociodemographic and behavioural correlates of smokers' noticing tobacco advertising and promotional activities
| Correlates | Advertisements overall (n=4368), adjusted OR (95% CI) | Advertisements on billboards (n=4379), adjusted OR (95% CI) | Sponsorships (n=4379), adjusted OR (95% CI) | Promotion (n=4374), adjusted OR (95% CI) | Total noticing advertising, sponsorship and promotion (n=4363), adjusted OR (95% CI) |
| City | |||||
| Beijing | Reference | Reference | Reference | Reference | Reference |
| Shenyang | 4.31 (3.40 to 5.45) | 4.36 (3.43 to 5.54) | 1.01 (0.79 to 1.28) | 1.26 (1.00 to 1.58) | 2.37 (1.85 to 3.05) |
| Shanghai | 1.72 (1.39 to 2.13) | 2.05 (1.62 to 2.59) | 0.76 (0.60 to 0.97) | 1.11 (0.89 to 1.38) | 1.25 (0.99 to 1.56) |
| Changsha | 4.67 (3.65 to 5.96) | 6.00 (4.71 to 7.66) | 2.20 (1.74 to 2.78) | 1.09 (0.86 to 1.37) | 3.45 (2.62 to 4.54) |
| Guangzhou | 1.26 (1.01 to 1.57) | 0.82 (0.62 to 1.08) | 0.57 (0.44 to 0.74) | 1.66 (1.32 to 2.08) | 1.36 (1.07 to 1.72) |
| Yinchuan | 1.21 (0.97 to 1.50) | 0.64 (0.48 to 0.84) | 0.52 (0.40 to 0.68) | 1.93 (1.54 to 2.42) | 1.57 (1.23 to 2.01) |
| Sex | |||||
| Male | 1.16 (0.83 to 1.62) | 1.53 (1.05 to 2.22) | 1.58 (1.05 to 2.40) | 1.38 (0.96 to 1.97) | 1.31 (0.93 to 1.85) |
| Female | Reference | Reference | Reference | Reference | Reference |
| Age | |||||
| 18–24 | Reference | Reference | Reference | Reference | Reference |
| 25–39 | 0.69 (0.31 to 1.52) | 0.61 (0.34 to 1.11) | 1.65 (0.95 to 2.86) | 0.99 (0.58 to 1.69) | 0.86 (0.35 to 2.13) |
| 40–54 | 0.31 (0.14 to 0.68) | 0.36 (0.20 to 0.65) | 0.86 (0.49 to 1.49) | 0.57 (0.33 to 0.97) | 0.47 (0.19 to 1.14) |
| 55+ | 0.28 (0.13 to 0.61) | 0.28 (0.16 to 0.51) | 0.55 (0.32 to 0.97) | 0.32 (0.18 to 0.54) | 0.30 (0.12 to 0.74) |
| Education | |||||
| Low | Reference | Reference | Reference | Reference | Reference |
| Medium | 1.25 (1.02 to 1.55) | 1.26 (0.99 to 1.60) | 1.66 (1.26 to 2.17) | 1.12 (0.90 to 1.40) | 1.24 (1.00 to 1.55) |
| High | 1.35 (1.04 to 1.75) | 1.31 (0.98 to 1.75) | 2.38 (1.74 to 3.24) | 1.05 (0.81 to 1.37) | 1.31 (0.99 to 1.73) |
| Income | |||||
| Low | Reference | Reference | Reference | Reference | Reference |
| Medium | 1.50 (1.26 to 1.79) | 1.20 (0.99 to 1.44) | 1.37 (1.13 to 1.67) | 1.32 (1.10 to 1.57) | 1.61 (1.33 to 1.95) |
| High | 1.70 (1.38 to 2.10) | 1.40 (1.12 to 1.74) | 1.53 (1.22 to 1.93) | 1.76 (1.44 to 2.16) | 1.82 (1.45 to 2.28) |
| Marital status | |||||
| Currently married | Reference | Reference | Reference | Reference | Reference |
| Currently single | 1.14 (0.90 to 1.44) | 1.00 (0.79 to 1.26) | 1.36 (1.07 to 1.72) | 1.34 (1.08 to 1.68) | 1.14 (0.88 to 1.47) |
| Cigarettes per day | |||||
| 10 or less | Reference | Reference | Reference | Reference | Reference |
| 11–20 | 0.93 (0.81 to 1.08) | 0.91 (0.78 to 1.06) | 1.02 (0.87 to 1.20) | 1.08 (0.93 to 1.24) | 1.00 (0.85 to 1.17) |
| 21+ | 1.04 (0.85 to 1.27) | 1.13 (0.92 to 1.38) | 0.98 (0.79 to 1.21) | 1.13 (0.93 to 1.37) | 1.04 (0.84 to 1.29) |
ORs are adjusted for all other variables in the model.
Significant at p<0.05
p<0.01
p<0.001.
Awareness of smoking images in entertainment media and attitudes towards the tobacco industry among smokers (n=4763), by city
| Total (n=4763), % | Beijing (n=793), % | Shenyang (n=789), % | Shanghai (n=792), % | Changsha (n=801), % | Guangzhou (n=795), % | Yinchuan (n=793), % | |
| See people smoking in the entertainment media | |||||||
| Once in a while | 27.9 | 27.9 | 23.1 | 26.0 | 33.9 | 34.7 | 21.7 |
| Often | 51.5 | 53.1 | 53.2 | 50.6 | 48.1 | 41.5 | 62.4 |
| Tobacco companies do good things for the Chinese society (agree+strongly agree) | 50.3 | 58.1 | 55.1 | 52.1 | 46.1 | 38.6 | 51.6 |
Group differences for all the individual variables of interest were significant at p<0.001 level based on the Pearson χ2 test.
Figure 2Proportion of smokers agreeing to allow tobacco companies to advertise and promote cigarettes as they please.