| Literature DB >> 24450730 |
Stephanie A S Staras1, Melvin D Livingston, Alana M Christou, David H Jernigan, Alexander C Wagenaar.
Abstract
BACKGROUND AND AIMS: Alcohol taxes reduce population-level excessive alcohol use and alcohol-related morbidity and mortality, yet little is known about the distribution of the effects of alcohol taxation across race/ethnicity and age subgroups. We examined the race/ethnicity- and age group-specific effects of an excise alcohol tax increase on a common and routinely collected alcohol-related morbidity indicator, sexually transmitted infections.Entities:
Keywords: Alcohol; alcohol-related morbidity; excise tax; race/ethnicity; sexually transmitted infections; time series analysis
Mesh:
Year: 2014 PMID: 24450730 PMCID: PMC4013225 DOI: 10.1111/add.12493
Source DB: PubMed Journal: Addiction ISSN: 0965-2140 Impact factor: 7.256
Figure 1Crude monthly rates of gonorrhea (per 100 000 individuals) in Illinois
Figure 2Crude monthly rates of chlamydia (per 100 000 individuals) in Illinois
Estimated effect of the state-wide Illinois alcohol excise tax increase on sexually transmitted infections (STIs): 2003–2011
| Δ Rate per 100 000 population per month (95% CI) | Percentage change (95% CI) | |
|---|---|---|
| Gonorrhea | −3.2 (−4.0, −2.4) | −21.4 (−25.7 −16.7) |
| Chlamydia | −4.8 (−7.8, −1.9) | −11.4 (−17.8, −4.4) |
Estimates are adjusted for secular trends, seasonality and median household income. Estimates include all cases of gonorrhea or chlamydia reported in Illinois regardless of race/ethnicity. Δ = Change in; CI = confidence interval.
Estimated effects of 2009 Illinois alcohol excise tax increase on sexually transmitted infections (STIs) within race and age subpopulations
| Non-Hispanic black | Non-Hispanic white | Hispanic | ||||
|---|---|---|---|---|---|---|
| Δ Rate per 100 000 individuals per month (95% CI) | Percentage change (95% CI) | Δ Rate per 100 000 individuals per month (95% CI) | Percentage change (95% CI) | Δ Rate per 100 000 individuals per month (95% CI) | Percentage change (95% CI) | |
| Gonorrhea | ||||||
| All ages (years) | −21.7 (−26.1, −17.2) | −25.6 (−30.0, −21.0) | −0.1 (−0.3, 0.2) | −7.2 (−29.5, 22.1) | 0.5 (−0.1, 1.1) | 14.6 (−1.1, 32.7) |
| Ages 15–19 | −47.2 (−70.4, −24.0) | −23.0 (−31.6, −13.2) | −1.2 (−2.3, −0.1) | −13.2 (−24.3, −0.4) | 4.1 (1.7, 6.5) | 67.7 (20.8, 135.1) |
| Ages 20–24 | −71.1 (−96.4, −45.9) | −28.1 (−36.2, −18.9) | 0.4 (−0.7, 1.4) | 4.4 (−4.6, 14.2) | 1.2 (−0.4, 2.9) | 11.7 (−4.4, 30.5) |
| Ages 25–29 | −51.1 (−66.3, −35.9) | −40.0 (−48.1, −30.6) | −0.9 (−1.5, −0.3) | −12.3 (−20.0, −3.8) | 0.8 (−0.5, 2.1) | 15 (−8.9, 45.1) |
| Ages ≥ 30 | −6.7 (−8.6, −4.8) | −34.9 (−41.3, −27.9) | −0.1 (−0.2, 0.1) | −8.0 (−18.7, 4.1) | −0.4 (−0.7, −0.2) | −21.4 (−34.4, −5.8) |
| Chlamydia | ||||||
| All ages (years) | −26.6 (−39.1, −14.0) | −14.7 (−20.9, −8.0) | −1.0 (−2.3, 0.3) | −6.7 (−15.4, 3.0) | 0.8 (−1.9, 3.6) | 2.2 (−5.5, 10.5) |
| Ages 15–19 | −42.6 (−94.8, 9.7) | −7.6 (−15.9, 1.5) | 2.5 (−2.7, 7.8) | 6.7 (−1.6, 15.6) | 8.2 (2.7, 13.8) | 10.6 (2.7, 19.1) |
| Ages 20–24 | −117.9 (−174.4, −61.3) | −18.0 (−25.5, −9.6) | −7.2 (−14.6, 0.1) | −8.2 (−17.6, 2.1) | −7.0 (−21.3, 7.2) | −6.9 (−18.5, 6.3) |
| Ages 25–29 | −76.6 (−104.0, −49.2) | −28.2 (−35.9, −19.5) | −4.8 (−8.4, −1.2) | −16.9 (−27.9, −4.2) | −2.6 (−9.6, 4.3) | −4.1 (−16.7, 10.3) |
| Ages ≥ 30 | −5.5 (−7.4, −3.6) | −18.4 (−24.2, −12.2) | −0.2 (−0.4, −0.1) | −8.7 (−20.6, −4.9) | −0.4 (−1.3, 0.6) | −4.7 (−15.5, 7.6) |
Estimates are adjusted for temporal trends, seasonality, and median household income. Δ = Change in; CI = confidence interval.
Statistical significance.