The natural history of type-specific human papillomavirus (HPV) infections was examined in a cohort of 331 women aged 18-35 years who self-referred for routine gynecological care. Participants underwent a gynecological examination at baseline and at approximately 4 and approximately 10 months after baseline. Cervical samples were collected for HPV testing and genotyping at each visit, as was information on reproductive, sexual, and medical histories. The rate of new HPV infections was 2.9% per month; the highest rates were observed for HPV types 16, 39, 84, and 51. Among women who tested negative for HPV at baseline, the cumulative probability of acquiring an oncogenic HPV strain during a 12-month follow-up period was 0.32, compared with 0.18 for nononcogenic strains. Women who had had >/=1 new male sex partner in the recent past were significantly more likely to acquire a new HPV infection (relative hazard, 2.39; 95% confidence interval, 1.20-4.76). The median time to clearance of infection was significantly longer for oncogenic strains (9.8 months) than for nononcogenic strains (4.3 months).

The purpose of this study is to investigate 1-year adherence rates to aromatase inhibitors (AI) and to determine risk factors for non-adherence among commercially insured post-menopausal breast cancer patients. A retrospective cohort of 13,593 commercially insured breast cancer patients with a prescription claim for an AI therapy (exemestane, anastrozole, and letrozole) in 2006 were identified using the MarketScan Commercial Claims and Encounters Database. Adherence was calculated by the medication possession ratio (MPR) for a 1-year period following the initial claim in 2006. The main outcome variable was non-adherence (<80% MPR) to AI therapy. Multivariate logistic regression was used to determine predictors of non-adherence. Over a 1-year period, 23% of patients were non-adherent with their AI therapy. AI non-adherence was associated with younger age, out-of-pocket costs ≥$30 per AI prescription, as well as with measures during the 12-month period prior to the initial 2006 AI claim of lower patient out-of-pocket total pharmacy costs, no mastectomy, and higher Charlson Comorbidity Index. Non-adherence to AI is a common occurrence. A number of factors were identified that influence patience non-adherence. These factors can be used to identifying patients at increased risk for non-adherence to better target and intervene to support medication taking behaviors.

Purpose Obesity increases risk for all-cause and breast cancer mortality and comorbidities in women who have been diagnosed and treated for breast cancer. The Exercise and Nutrition to Enhance Recovery and Good Health for You (ENERGY) study is the largest weight loss intervention trial among survivors of breast cancer to date. Methods In this multicenter trial, 692 overweight/obese women who were, on average, 2 years since primary treatment for early-stage breast cancer were randomly assigned to either a group-based behavioral intervention, supplemented with telephone counseling and tailored newsletters, to support weight loss or a less intensive control intervention and observed for 2 years. Weight and blood pressure were measured at 6, 12, 18, and 24 months. Longitudinal mixed models were used to analyze change over time. Results At 12 months, mean weight loss was 6.0% of initial weight in the intervention group and 1.5% in the control group (P < .001). At 24 months, mean weight loss in the intervention and control groups was 3.7% and 1.3%, respectively (P < .001). Favorable effects of the intervention on physical activity and blood pressure were observed. The weight loss intervention was more effective among women older than 55 years than among younger women. Conclusion A behavioral weight loss intervention can lead to clinically meaningful weight loss in overweight/obese survivors of breast cancer. These findings support the need to conduct additional studies to test methods that support sustained weight loss and to examine the potential benefit of intentional weight loss on breast cancer recurrence and survival.