| Literature DB >> 36190944 |
Erin Keely O'Brien1, Andrea L Ruybal1, Amber R Koblitz1, Sarah E Johnson1.
Abstract
OBJECTIVES: No studies have examined the brand context in which modified risk claims appear on tobacco products. This study examines how marketing products with modified risk claims affects risk perceptions, appeal, and intentions among own-brand, other brand, and novel brand cigarettes.Entities:
Mesh:
Year: 2022 PMID: 36190944 PMCID: PMC9529086 DOI: 10.1371/journal.pone.0274097
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.752
Descriptive statistics by sample.
| Young adult established cigarette users N = 451 | Young adult experimental cigarette users N = 167 | Adult established cigarette users N = 475 | Adult former cigarette users N = 464 | |
|---|---|---|---|---|
| 21.77 (1.85) | 20.60 (1.92) | 47.93 (12.24) | 57.52 (15.00) | |
|
| ||||
| Male | 14.2% | 22.8% | 25.7% | 45.9% |
| Female | 85.4% | 76.6% | 72.8% | 54.1% |
| Missing | 0.4% | 0.6% | 1.5% | 0.0% |
|
| ||||
| Hispanic* | 2.9% | 10.2% | 2.1% | 0.2% |
| Black/African American | 8.6% | 15.7% | 7.6% | 4.3% |
| White | 77.6% | 55.7% | 81.9% | 90.1% |
| Asian American | 2.9% | 4.2% | 2.5% | 0.9% |
| Other | 4.9% | 11.4% | 2.7% | 3.7% |
| Missing | 3.1% | 3.0% | 3.2% | 0.9% |
|
| ||||
| $0-$24,999 | 46.1% | 43.1% | 26.3% | 18.3% |
| $25,000-$59,999 | 32.4% | 24.0% | 38.5% | 38.6% |
| $60,000+ | 11.3% | 21.0% | 28.6% | 38.6% |
| Missing | 10.2% | 12.0% | 6.5% | 4.5% |
Note.
*Ethnicity was assessed in a separate question from race; for analysis, all respondents affirming Hispanic ethnicity were counted in this category, and other categories represent those identifying as non-Hispanic.
Sample size by claim and brand condition.
| Young adult established cigarette users | Young adult experimental cigarette users | Adult established cigarette users | Adult former cigarette users | |
|---|---|---|---|---|
| Total N | N = 451 | N = 167 | N = 475 | N = 464 |
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| Control | n = 150 | n = 56 | n = 157 | n = 154 |
| Risk Modification | n = 151 | n = 54 | n = 159 | n = 155 |
| Exposure Modification | n = 150 | n = 57 | n = 159 | n = 155 |
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| Own | n = 150 | n = 56 | n = 158 | n = 156 |
| Other | n = 150 | n = 55 | n = 160 | n = 154 |
| Novel | n = 151 | n = 56 | n = 157 | n = 154 |
Effects of claim and brand condition on perceived risk, product appeal, and intentions to try/purchase.
| Factor | Young adult estab. cigarette users | Young adult exper. cigarette users | Adult estab. cigarette users | Adult former cigarette users |
|---|---|---|---|---|
| M (SE), 95% CI | M (SE), 95% CI | M (SE), 95% CI | M (SE), 95% CI | |
| Outcome: Perceived Risk | ||||
| - | ||||
| Claim2 | - | |||
| Control | 3.05 (.04), [2.97, 3.13] | 3.20 (.08), [3.04, 3.36] | 3.03 (.03), [2.97, 3.09] | - |
| Risk Modification | 2.85 (.03), [2.78, 2.91] | 2.75 (.08), [2.59, 2.90] | 2.87 (.03), [2.81, 2.94] | - |
| Exposure Modification | 2.91 (.04), [2.82, 3.00] | 2.92 (.09), [2.75, 3.10] | 2.84 (.03), [2.77, 2.91] | - |
| Brand | - | |||
| Own | 3.00 (.04), [2.91, 3.09] | 2.86 (.07), [2.71, 3.00] | 2.91 (.03), [2.85, 2.98] | - |
| Other | 2.93 (.03), [2.86, 3.00] | 3.13 (.09), [2.95, 3.30] | 2.93 (.03), [2.86, 3.00] | - |
| Novel | 2.88 (.04), [2.79, 2.96] | 2.90 (.09), [2.71, 3.09] | 2.90 (.03), [2.83, 2.96] | - |
| Claim * Brand | - | |||
| Outcome: Product Appeal | ||||
| Claim | ||||
| Control | 2.95 (.05), [2.85, 3.05] | 3.05 (.08), [2.89, 3.21] | 3.09 (.05), [3.00, 3.18] | 2.77 (.05), [2.67, 2.87] |
| Risk Modification | 2.99 (.05), [2.90, 3.07] | 3.13 (.07), [2.99, 3.28] | 3.09 (.04), [3.00, 3.17] | 2.82 (.05), [2.73, 2.92] |
| Exposure Modification | 3.03 (.05), [2.94, 3.12] | 2.93 (.06), [2.81, 3.05] | 3.12 (.05), [3.03, 3.21] | 2.90 (.04), [2.82, 2.99] |
| Brand | ||||
| Own | 3.16 (.05), [3.05, 3.26] | 3.20 (.06), [3.08, 3.33] | 3.21 (.04), [3.13, 3.30] | 2.91 (.05), [2.81, 3.01] |
| Other | 3.02 (.05), [2.93, 3.11] | 2.89 (.07), [2.76, 3.03] | 3.17 (.05), [3.08, 3.26] | 2.88 (.05), [2.79, 2.97] |
| Novel | 2.79 (.04), [2.71, 2.87] | 3.01 (.08), [2.85, 3.16] | 2.91 (.04), [2.83, 2.99] | 2.71 (.04), [2.63, 2.80] |
| Claim * Brand | ||||
| Outcome: Intentions to Try/Purchase | ||||
| Claim | ||||
| Control | 3.01 (.10), [2.82, 3.21] | 2.92 (.15), [2.62, 3.23] | 3.16 (.09), [2.97, 3.34] | 1.36 (.06), [1.24, 1.49] |
| Risk Modification | 3.06 (.10), [2.86, 3.25] | 3.09 (.15), [2.78, 3.40] | 3.34 (.09), [3.16, 3.34] | 1.49 (.08), [1.34, 1.64] |
| Exposure Modification | 3.30 (.10), [3.10, 3.49] | 3.15 (.16), [2.84, 3.46] | 3.57 (.09), [3.39, 3.76] | 1.60 (.09), [1.44, 1.77] |
| Brand | ||||
| Own | 3.36 (.10), [3.17, 3.56] | 3.30 (.15), [3.01, 3.60] | 3.66 (.09), [3.49, 3.83] | 1.61 (.08), [1.44, 1.77] |
| Other | 3.06 (.10), [2.86, 3.25] | 2.74 (.15), [2.43, 3.05] | 3.27 (.10), [3.08, 3.46] | 1.44 (.07), [1.29, 1.59] |
| Novel | 2.94 (.09), [2.76, 3.13] | 3.11 (.15), [2.81, 3.42] | 3.14 (.10), [2.96, 3.33] | 1.41 (.07), [1.27, 1.54] |
| Claim | ||||
Notes. Higher scores indicate a higher amount of the construct (e.g., likelihood that switching brands can result in a number of health risks.)
1 Six questions- Imagine that tomorrow you completely switched to [BRAND] cigarettes and stopped using your usual cigarettes. How would this affect your chances of getting each of these tobacco-related health issues? If I completely switched to using [brand] cigarettes, my chances of getting a tobacco-related disease would be: getting cancer, getting lung disease, getting heart disease, having a stroke, becoming addicted. Response options 1 (Much less likely) to 5 (Much more likely). This was not assessed among adult former cigarette users.
2 Claim conditions: control = no claim on the ad/pack, risk modification = “lower risk of heart disease” on ad/pack, exposure modification = “25% fewer nitrosamines” on ad/pack.
3Nine items- I think [brand] cigarettes would: be rich in tobacco flavor, taste of cheap tobacco, be satisfying, be of the highest quality tobacco, be harsh on the throat, taste good, be popular among cigarette users, be an expensive product, be a product I might try. Response options 1 (Strongly disagree) to 5 (Strongly agree).
4Three items- How likely would you be to: try [brand] cigarettes in the next 6 months?, purchase [brand] cigarettes in the next 6 months?, try [brand] cigarettes if one of your best friends offered it to you? Response options 1 (Very unlikely) to 5 (Very likely).
*p < .05
**p≤.01
***p≤.001