Comparison of Serum Cotinine Concentration within and across Smokers of Menthol and Nonmenthol Cigarette Brands among Non-Hispanic Black and Non-Hispanic White U.S. Adult Smokers, 2001–2006

Background: The Food and Drug Administration (FDA) is examining options for regulating menthol content in cigarettes. There are many pharmacologic properties of menthol that may facilitate exposure to tobacco smoke, and it has been suggested that the preference for menthol cigarettes in black smokers accounts for their higher cotinine levels. Objective: To assess cigarettes smoked per day–adjusted cotinine levels in relation to smoking a menthol or nonmenthol cigarette brand among non-Hispanic black and white U.S. adult smokers under natural smoking conditions. Method: Serum cotinine concentrations were measured in 1,943 smokers participating in the 2001 to 2006 National Health and Nutrition Examination Surveys (NHANES). The effect of smoking a menthol brand on cigarettes smoked per day–adjusted serum cotinine levels in these two populations was modeled by adjusting for sex, age, number of smokers living in the home, body weight, time since last smoked, and FTC (Federal Trade Commission)-measured nicotine levels. The 8- or 12-digit Universal Product Code (UPC) on the cigarette label was used to determine the cigarette brand and whether it was menthol. Results: Smoking a menthol cigarette brand versus smoking a nonmenthol cigarette brand was not associated (P≥ 0.05) with mean serum cotinine concentration in either black or white smokers. Conclusions: The higher levels of cotinine observed in black smokers compared with white smokers are not explained by their higher preference for menthol cigarette brands. Impact: Further studies like ours are needed to improve our ability to understand health consequences of future changes in tobacco product design

Near optimal weights in nonparametric regression under some common restrictions

A fixed design nonparametric regression model having potentially correlated replicate measurements is considered. Optimal minimizers of the mean averaged squared error are derived under restrictions of symmetry and nonnegativity/normalization. The feasibility of a direct estimation strategy, naturally utilizing correlation, is discussed.Asymmetric kernels Correlated errors Linear estimator Mean averaged squared error Quadratic programming

Box Set (2001)

1. Poster [Attached][2 copies] 2. News release [Attached] 3. Q sheets 4. Rehearsal schedule 5. Invoice statements 6. Invoices 7. Contact list 8. Faxes 9. Royalty invoice [2 copies] 10. Box office receipts 11. Program 12. CDsArchival file for the Glendon College production of Box Set, conceived and directed by Robert Wallace. The play was performed November 13 to 17, 2001

BRIEF REPORT: Screening Items to Identify Patients with Limited Health Literacy Skills

BACKGROUND: Patients with limited literacy skills are routinely encountered in clinical practice, but they are not always identified by clinicians. OBJECTIVE: To evaluate 3 candidate questions to determine their accuracy in identifying patients with limited or marginal health literacy skills. METHODS: We studied 305 English-speaking adults attending a university-based primary care clinic. Demographic items, health literacy screening questions, and the Rapid Estimate of Adult Literacy in Medicine (REALM) were administered to patients. To determine the accuracy of the candidate questions for identifying limited or marginal health literacy skills, we plotted area under the receiver operating characteristic (AUROC) curves for each item, using REALM scores as a reference standard. RESULTS: The mean age of subjects was 49.5; 67.5% were female, 85.2% Caucasian, and 81.3% insured by TennCare and/or Medicare. Fifty-four (17.7%) had limited and 52 (17.0%) had marginal health literacy skills. One screening question, “How confident are you filling out medical forms by yourself?” was accurate in detecting limited (AUROC of 0.82; 95% confidence interval [CI]=0.77 to 0.86) and limited/marginal (AUROC of 0.79; 95% CI=0.74 to 0.83) health literacy skills. This question had significantly greater AUROC than either of the other questions (P<.01) and also a greater AUROC than questions based on demographic characteristics. CONCLUSIONS: One screening question may be sufficient for detecting limited and marginal health literacy skills in clinic populations