Cigarette and Tobacco Receipts Report, July 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, August 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Impact of a board-game approach on current smokers: a randomized controlled trial.

ABSTRACT: BACKGROUND: The main objective of our study was to assess the impact of a board game on smoking status and smoking-related variables in current smokers. To accomplish this objective, we conducted a randomized controlled trial comparing the game group with a psychoeducation group and a waiting-list control group. METHODS: The following measures were performed at participant inclusion, as well as after a 2-week and a 3-month follow-up period: "Attitudes Towards Smoking Scale" (ATS-18), "Smoking Self-Efficacy Questionnaire" (SEQ-12), "Attitudes Towards Nicotine Replacement Therapy" scale (ANRT-12), number of cigarettes smoked per day, stages of change, quit attempts, and smoking status. Furthermore, participants were assessed for concurrent psychiatric disorders and for the severity of nicotine dependence with the Fagerström Test for Nicotine Dependence (FTND). RESULTS: A time × group effect was observed for subscales of the ANRT-12, ATS-18 and SEQ-12, as well as for the number of cigarettes smoked per day. At three months follow-up, compared to the participants allocated to the waiting list group, those on Pick-Klop group were less likely to remain smoker.Outcomes at 3 months were not predicted by gender, age, FTND, stage of change, or psychiatric disorders at inclusion. CONCLUSIONS: The board game seems to be a good option for smokers. The game led to improvements in variables known to predict quitting in smokers. Furthermore, it increased smoking-cessation rates at 3-months follow-up. The game is also an interesting alternative for smokers in the precontemplation stage.

Cigarette and Tobacco Receipts Report, September 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, October 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, November 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, December 2008

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, January 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, February 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

History of diabetes and risk of head and neck cancer: a pooled analysis from the international head and neck cancer epidemiology consortium.

BACKGROUND: A history of diabetes is associated with an increased risk of several types of cancers. Whether diabetes is a risk factor for head and neck cancer (HNC) has received little attention. METHODS: We pooled data from 12 case-control studies including 6,448 cases and 13,747 controls, and estimated odds ratios (OR) and 95% confidence intervals (CI) for the associations between diabetes and HNC, adjusted for age, education level, sex, race/ethnicity, study center, cigarette smoking, alcohol use and body mass index (BMI). RESULTS: We observed a weak association between diabetes and the incidence of HNC overall (OR, 1.09; 95% CI, 0.95-1.24). However, we observed a modest association among never smokers (OR, 1.59; 95% CI, 1.22-2.07), and no association among ever smokers (OR, 0.96; 95% CI, 0.83-1.11); likelihood ratio test for interaction p=0.001. CONCLUSIONS: A history of diabetes was weakly associated with HNC overall, but we observed evidence of effect modification by smoking status, with a positive association among those who never smoked cigarettes. Impact: This study suggests that glucose metabolism abnormalities may be a HNC risk factor in subgroups of the population. Prospective studies incorporating biomarkers are needed to improve our understanding of the relationship between diabetes and HNC risk, possibly providing new strategies in the prevention of HNC.

Perception of tobacco, cannabis, and alcohol use of others is associated with one's own use.

BACKGROUND: Interventions have been developed to reduce overestimations of substance use among others, especially for alcohol and among students. Nevertheless, there is a lack of knowledge on misperceptions of use for substances other than alcohol. We studied the prevalence of misperceptions of use for tobacco, cannabis, and alcohol and whether the perception of tobacco, cannabis, and alcohol use by others is associated with one's own use. METHODS: Participants (n=5216) in a cohort study from a census of 20-year-old men (N=11,819) estimated the prevalence of tobacco and cannabis use among peers of the same age and sex and the percentage of their peers drinking more alcohol than they did. Using the census data, we determined whether participants overestimated, accurately estimated, or underestimated substance use by others. Regression models were used to compare substance use by those who overestimated or underestimated peer substance with those who accurately estimated peer use. Other variables included in the analyses were the presence of close friends with alcohol or other drug problems and family history of substance use. RESULTS: Tobacco use by others was overestimated by 46.1% and accurately estimated by 37.3% of participants. Cannabis use by others was overestimated by 21.8% and accurately estimated by 31.6% of participants. Alcohol use by others was overestimated by more than half (53.4%) of participants and accurately estimated by 31.0%. In multivariable models, compared with participants who accurately estimated tobacco use by others, those who overestimated it reported smoking more cigarettes per week (incidence rate ratio [IRR] [95% CI], 1.17 [range, 1.05, 1.32]). There was no difference in the number of cigarettes smoked per week between those underestimating and those accurately estimating tobacco use by others (IRR [95% CI], 0.99 [range, 0.84, 1.17]). Compared with participants accurately estimating cannabis use by others, those who overestimated it reported more days of cannabis use per month (IRR [95% CI], 1.43 [range, 1.21, 1.70]), whereas those who underestimated it reported fewer days of cannabis use per month (IRR [95% CI], 0.62 [range, 0.23, 0.75]). Compared with participants accurately estimating alcohol use by others, those who overestimated it reported consuming more drinks per week (IRR [95% CI], 1.57 [range, 1.43, 1.72]), whereas those who underestimated it reported consuming fewer drinks per week (IRR [95% CI], 0.41 [range, 0.34, 0.50]). CONCLUSIONS: Perceptions of substance use by others are associated with one's own use. In particular, overestimating use by others is frequent among young men and is associated with one's own greater consumption. This association is independent of the substance use environment, indicating that, even in the case of proximity to a heavy-usage group, perception of use by others may influence one's own use. If preventive interventions are to be based on normative feedback, and their aim is to reduce overestimations of use by others, then the prevalence of overestimation indicates that they may be of benefit to roughly half the population; or, in the case of cannabis, to as few as 20%. Such interventions should take into account differing strengths of association across substances.

Cigarette and Tobacco Receipts Report, April 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, May 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, June 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.

Cigarette and Tobacco Receipts Report, July 2009

This is a report for the Iowa Department of Revenue and Finance about the receipts on cigarettes and tobacco for each month of the year. This receipt is the tax of each sale of cigarettes and tobacco.