| Literature DB >> 24134094 |
Kelvin Choi1, Raymond G Boyle.
Abstract
BACKGROUND: The cost of cigarettes has been cited as a motivating factor for smokers to quit smoking, and a cigarette tax increase is an effective way to increase the cost of cigarettes. Scholars have suggested that smokers may see cigarette tax increases as commitment devices to help them quit smoking. Little is known about whether smokers actually think cigarette tax increases help them quit, and whether this perception predicts subsequent smoking cessation behaviors. We used data from the Minnesota Adult Tobacco Survey Cohort Study collected after the 2009 federal tobacco tax increase to answer these questions.Entities:
Mesh:
Year: 2013 PMID: 24134094 PMCID: PMC3853445 DOI: 10.1186/1471-2458-13-965
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics associated with perceiving the 2009 federal cigarette tax increase as helpful among Minnesota current smokers in 2009, the Minnesota Adult Tobacco Survey Cohort Study (n = 727)
| | |||||||
|---|---|---|---|---|---|---|---|
| | | | | | | | |
| 20–29 | 108 (14.8%) | 61 (56.5%) | 0.63 (0.37, 1.07) | 43 (39.8%) | 0.69 (0.41, 1.16) | 28 (25.9%) | -- |
| 30–39 | 115 (15.8%) | 69 (60.5%) | 0.81 (0.48, 1.37) | 45 (39.1%) | 0.72 (0.43, 1.20) | 33 (28.7%) | |
| 40–49 | 154 (21.2%) | 98 (63.6%) | 0.88 (0.54, 1.44) | 75 (48.7%) | 0.97 (0.61, 1.56) | 46 (29.9%) | |
| 50–59 | 183 (25.2%) | 131 (72.4%) | 1.31 (0.80, 2.13) | 98 (53.9%) | 1.19 (0.75, 1.87) | 52 (28.6%) | |
| 60 or above | 167 (23.0%) | 108 (65.1%) | Ref. | 77 (46.7%) | Ref. | 51 (30.7%) | |
| | | | | | | | |
| Male | 349 (48.0%) | 216 (62.3%) | 0.82 (0.59, 1.13) | 159 (45.6%) | -- | 104 (29.8%) | -- |
| Female | 378 (52.0%) | 251 (66.8%) | Ref. | 179 (47.7%) | | 106 (28.2%) | |
| | | | | | | | |
| High school/GED | 292 (40.2%) | 205 (70.7%) | 154 (52.7%) | 102 (34.9%) | |||
| Some college | 289 (39.8%) | 186 (64.4%) | 137 (47.6%) | 78 (27.0%) | 1.43 (0.86, 2.37) | ||
| College or above | 145 (20.0%) | 75 (52.5%) | Ref. | 46 (32.2%) | Ref. | 29 (20.3%) | Ref. |
| | | | | | | | |
| ≤$35,000 | 246 (35.6%) | 159 (65.2%) | 1.03 (0.67, 1.58) | 119 (48.4%) | 1.47 (0.96, 2.24) | 86 (35.0%) | |
| $35,001-$75,000 | 271 (39.2%) | 180 (66.4%) | 1.18 (0.78, 1.77) | 143 (52.6%) | 77 (28.4%) | 1.27 (0.81, 1.99) | |
| ≥$75,001 | 175 (25.3%) | 101 (58.4%) | Ref. | 60 (34.7%) | Ref. | 39 (22.5%) | Ref. |
| | | | | | | | |
| ≤6 packs | 182 (25.1%) | 114 (63.3%) | -- | 105 (58.3%) | Ref. | 80 (44.4%) | Ref. |
| 7-15 packs | 238 (32.8%) | 155 (65.7%) | | 120 (50.6%) | 60 (25.2%) | ||
| 16-27 packs | 130 (17.9%) | 86 (66.2%) | | 58 (44.6%) | 25 (19.2%) | ||
| ≥28 packs | 176 (24.2%) | 111 (63.1%) | | 54 (30.7%) | 45 (25.6%) | ||
| 1.6 (1.2)* | -- | -- | -- | ||||
Demographics are only adjusted for demographics in the column that the crude associations are significant (p < 0.3). Other variables are adjusted for significant demographics and other variables in the column (crude association p < 0.3). *Mean and standard deviation presented. Bolded estimates are statistically significant (p<0.05).
Associations between perceived helpfulness of the 2009 federal cigarette tax increase at baseline and smoking cessation behaviors at follow-up among Minnesota current smokers in 2009, the Minnesota Adult Tobacco Survey Cohort Study (n = 609)
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|---|---|---|---|---|---|---|
| | | | | | | |
| Yes | 213 (54.8%) | 161 (41.2%) | 1.06 (0.74, 1.51) | 52 (13.2%) | 1.31 (0.76, 2.23) | |
| No | 68 (32.5%) | Ref. | 83 (39.0%) | Ref. | 23 (10.8%) | Ref. |
| | | | | | | |
| Yes | 162 (59.3%) | 120 (43.8%) | 1.25 (0.88, 1.79) | 41 (14.9%) | 1.33 (0.79, 2.23) | |
| No | 119 (36.6%) | Ref. | 124 (37.6%) | Ref. | 34 (10.3%) | Ref. |
| | | | | | | |
| Yes | 124 (70.9%) | 74 (42.1%) | 1.10 (0.75, 1.62) | 26 (14.8%) | 1.13 (0.65, 1.97) | |
| No | 158 (37.3%) | Ref. | 170 (39.6%) | Ref. | 49 (11.4%) | Ref. |
Bolded estimates are statistically significant (p < 0.05). Estimates for each perception on each outcome were adjusted for the propensity score for endorsing the perception, which accounted for age, gender, education, income, smoking intensity (in quartiles), and number of price-minimizing strategies used at baseline.