Although tobacco smoking, pan chewing and alcohol drinking are important risk factors for head and neck cancer (HNC), the HNC risks conferred by products available in Nepal for these habits are unknown. We assessed the associations of tobacco smoking, chewing habits, and alcohol drinking with HNC risk in Nepal. A case-control study was conducted in Nepal with 549 incident HNC cases and 601 controls. Odds ratios (OR) and 95% confidence intervals (CI) were estimated using unconditional logistic regression adjusting for potential confounders. We observed increased HNC risk for tobacco smoking (OR: 1.54; 95% CI: 1.14, 2.06), chewing habits (OR: 2.39; 95% CI: 1.77, 3.23), and alcohol drinking (OR: 1.57; 95% CI: 1.14, 2.18). The population attributable fraction (PAF) was 24.3% for tobacco smoking, 39.9% for chewing habits and 23.0% for alcohol drinking. Tobacco smoking, chewing habits, and alcohol drinking might be responsible for 85.3% of HNC cases. Individuals who smoked tobacco, chewed products and drank alcohol had a 13-fold increase in HNC risk (OR: 12.83; 95% CI: 6.91, 23.81) compared to individuals who did not have any of these habits. Both high frequency and long duration of these habits were strong risk factors for HNC among the Nepalese with clear dose-response trends. Preventive strategies against starting these habits and support for quitting these habits are necessary to decrease the incidence of HNC in Nepal.Additional Supporting Information may be found in the online version of this article.

Detection of plasma human herpesvirus (HHV)-8 DNA correlates with antibodies to lytic HHV-8 antigens, being predictive of Kaposi's sarcoma in HIV-infected patients. We show that the prevalence of plasma HHV-8 DNA was 10.6% for HIV infection through sexual contact and 7.1% for HIV infection through intravenous injection. In addition, the prevalence of plasma HHV-8 DNA was significantly associated with male gender (9.4%) and HIV viral load below 1000 copies mL(-1) (12.1%), but not age or CD4 cell count in HIV-infected patients. The study suggested that detection of plasma HHV-8 DNA could be important for monitoring replicating HHV-8 in HIV-infected patients, and may have use as a marker for the diagnosis of HHV-8 infection in blood-borne transmission.

Background Previous research has demonstrated that women instructed in fertility awareness methods can identify the Peak Day of cervical mucus discharge for each menstrual cycle, and the Peak Day has high agreement with other indicators of the day of ovulation. However, previous studies enrolled experienced users of fertility awareness methods or were not fully blinded. Objective To assess the agreement between cervical mucus Peak Day identified by fertile women without prior experience on assessing cervical mucus discharge with the estimated day of ovulation (1 day after urine luteinising hormone surge). Methods This study is a secondary analysis of data from a randomised trial of the Creighton Model FertilityCareTM System (CrM), conducted 2003‐2006, for women trying to conceive. Women who had no prior experience tracking cervical mucus recorded vulvar observations daily using a standardised assessment of mucus characteristics for up to seven menstrual cycles. Four approaches were used to identify the Peak Day. The referent day was defined as one day after the first identified day of luteinising hormone (LH) surge in the urine, assessed blindly. The percentage of agreement between the Peak Day and the referent day of ovulation was calculated. Results Fifty‐seven women with 187 complete cycles were included. A Peak Day was identified in 117 (63%) cycles by women, 185 (99%) cycles by experts, and 187 (100%) by computer algorithm. The woman‐picked Peak Day was the same as the referent day in 25% of 117 cycles, within ±1 day in 58% of cycles, ±2 days in 84%, ±3 days in 87%, and ±4 days in 92%. The ±1 day and ± 4 days' agreement was 50% and 90% for the expert‐picked and 47% and 87% for the computer‐picked Peak Day, respectively. Conclusions Women's daily tracking of cervical mucus is a low‐cost alternative for identifying the estimated day of ovulation.