| Literature DB >> 22943135 |
Christine M White1, David Hammond, James F Thrasher, Geoffrey T Fong.
Abstract
BACKGROUND: Tobacco use is responsible for 5.4 million deaths every year worldwide and is a leading cause of preventable death. The burden of these deaths is rapidly shifting to low and middle-income countries, such as Brazil. Brazil has prohibited most forms of tobacco advertising; however, the cigarette pack remains a primary source of marketing. The current study examined how tobacco packaging influences brand appeal and perceptions of health risk among young women in Brazil.Entities:
Mesh:
Year: 2012 PMID: 22943135 PMCID: PMC3575335 DOI: 10.1186/1471-2458-12-737
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Figure 1Cigarette package images by experimental condition.
Sample characteristics (n = 640)
| Mean | 22.4 | 22.4 | 22.4 | 22.4 | F = 0.1 |
| SD = 2.4 | SD = 2.3 | SD = 2.4 | SD = 2.5 | p = 0.905 | |
| Low | 21.9% (140) | 18.8% (40) | 21.6% (45) | 25.1% (55) | |
| Moderate | 48.3% (309) | 48.8% (104) | 50.5% (105) | 45.7% (100) | p = 0.512 |
| High | 29.8% (191) | 32.4% (69) | 27.9% (58) | 29.2% (64) | |
| White | 62.9% (401) | 54.7% (116) | 65.2% (135) | 68.5% (150) | |
| “Pardo” | 25.2% (161) | 32.5% (69) | 23.7% (49) | 19.6% (43) | p = 0.025 |
| Other | 11.9% (76) | 12.7% (27) | 11.1% (23) | 11.9% (26) | |
| Smoker | 28.4% (182) | 28.2% (60) | 27.9% (58) | 29.2% (64) | |
| Non-smoker | 71.6% (458) | 71.8% (153) | 72.1% (150) | 70.8% (155) | p = 0.949 |
| Daily | 39.0% (71) | 43.3% (26) | 41.4% (24) | 32.8% (21) | |
| Weekly | 24.2% (44) | 20.0% (12) | 24.1% (14) | 28.1% (18) | p = 0.732 |
| Monthly | 36.8% (67) | 36.7% (22) | 34.5% (20) | 39.1% (25) | |
| Mean | 10.8 | 9.8 | 10.5 | 12.3 | F = 0.6 |
| SD = 7.6 | SD = 5.8 | SD = 8.8 | SD = 8.2 | p = 0.537 | |
| Within the next month | 12.9% (18) | 16.7% (8) | 8.3% (4) | 14.0% (6) | |
| Within the next 6 months | 18.0% (25) | 14.6% (7) | 22.9% (11) | 16.3% (7) | p = 0.609 |
| Sometime in the future | 53.2% (74) | 47.9% (23) | 58.3% (28) | 53.5% (23) | |
| Not planning to quit | 15.8% (22) | 20.8% (10) | 10.4% (5) | 16.3% (7) | |
SD, standard deviation.
*Statistically significant difference between experimental conditions (p < 0.05).
aAmong current smokers only.
Brand ratings for individual cigarette packages by experimental condition (n = 640)
| | |||||||||||
| (Mean score) | |||||||||||
| 77.1%a | 72.5%a | 71.6%a | 69.5%a | 68.9%a | 58.1%ab | 50.0%a | 49.5%a | 45.9%a | 23.4%a | 6.0a | |
| 48.7%b | 39.9%b | 32.8%b | 33.9%b | 51.1%b | 60.6%a | 40.2%b | 45.9%a | 39.1%a | 39.8%b | 4.3b | |
| 49.5%b | 13.8%c | 29.1%b | 29.1%b | 14.6%c | 50.5%b | 33.8%b | 27.5%b | 59.7%b | 38.5%b | 3.4c | |
| (Mean score) | |||||||||||
| 39.6%a | 65.5%a | 45.7%a | 56.8%a | 66.3%a | 60.6%a | 45.3%a | 57.7%a | 25.3%a | 24.5%a | 4.9a | |
| 25.4%b | 50.0%b | 23.7%b | 20.5%b | 55.8%b | 59.1%a | 50.3%a | 55.2%a | 26.6%a | 29.8%a | 3.9b | |
| 35.0%a | 9.7%c | 21.5%b | 20.6%b | 12.0%c | 32.8%b | 27.0%b | 18.7%b | 33.2%a | 30.8%a | 2.3c | |
| (Mean score) | |||||||||||
| 8.8%a | 22.5%a | 10.3%a | 24.0%a | 14.1%a | 18.0%a | 9.3%a | 13.9%a | 12.5%a | 11.4%a | 1.5a | |
| 9.7%a | 10.7%b | 7.4%a | 17.9%ab | 9.8%a | 10.9%a | 11.5%a | 14.5%a | 8.5%a | 16.1%a | 1.1a | |
| 11.6%a | 14.1%ab | 11.0%a | 10.6%b | 11.5%a | 14.1%a | 8.9%a | 9.0%a | 10.6%a | 10.8%a | 1.2a | |
| (Mean score) | |||||||||||
| 23.3%a | 56.5%a | 35.0%a | 46.2%a | 54.2%a | 51.5%a | 40.5%a | 50.5%a | 26.3%ab | 21.1%a | 4.1a | |
| 22.0%a | 41.1%b | 16.8%b | 25.9%b | 42.1%b | 43.8%a | 36.0%a | 45.1%a | 19.5%a | 25.9%a | 3.1b | |
| 29.1%a | 12.2%c | 11.6%b | 11.1%c | 7.5%c | 19.8%b | 16.2%b | 19.5%b | 29.1%b | 13.4%b | 1.6c | |
*Letters are used to indicate statistical significance between values in the same column based on logistic regression models for the single packages, and linear regression models for the index scores. Values with different letters are significantly different at the p < 0.05 level. All regression models were adjusted for age, education, ethnicity, and smoking status.
Mean index scores were created for each measure by summing the number of times “A little” or “A lot” was selected across the 10 brands (range: 1 to 10).
Index scores of perceived smoker traits by experimental condition (n = 623)
| 4.7a | 4.6a | 3.0a | 4.1a | 2.3a | 3.8a | |
| (1.7) | (2.7) | (2.5) | (2.8) | (2.6) | (2.0) | |
| 4.1b | 3.7b | 2.5b | 3.4b | 2.1a | 3.2b | |
| (2.2) | (2.6) | (2.5) | (2.6) | (2.6) | (2.1) | |
| 2.7c | 3.0c | 2.4b | 2.7c | 1.9a | 2.7c | |
| (1.8) | (2.5) | (2.5) | (2.5) | (2.3) | (2.0) | |
SD, standard deviation.
*Letters are used to indicate statistical significance between values in the same column based on logistic regression models for the single packages, and linear regression models for the index scores. Values with different letters are significantly different at the p < 0.05 level.
All regression models were adjusted for age, education, ethnicity, and smoking status.
Mean index scores were created by summing the number of desirable traits endorsed across the 10 brands (range: 1 to 10).