Introduction Insomnia is a prevalent sleep disorder that can profoundly impact a person's physical health and mental wellbeing. Most of the currently available drugs for insomnia exert adverse effects. Hence, alternative herbal therapies could be effective in treating insomnia. Ashwagandha, a proven "Rasayana" from ancient Ayurveda is having the required potential to treat insomnia. Objective To determine the efficacy and safety of Ashwagandha root extract in patients with insomnia and anxiety. Methods This was a randomized, double-blind, placebo-controlled study conducted at Prakruti Hospital, Kalwa, Maharashtra, India. A total of 60 patients were randomly divided into two groups: test (n = 40) and placebo (n = 20) in a randomization ratio of 2:1. Test product was a capsule containing highest concentration full-spectrum Ashwagandha root extract 300 mg, and the placebo was an identical capsule containing starch. Both treatments were given twice daily with milk or water for 10 weeks. Sleep actigraphy (Respironics Philips) was used for assessment of sleep onset latency (SOL), total sleep time (TST), sleep efficiency (SE) and wake after sleep onset (WASO). Other assessments were total time in bed (sleep log), mental alertness on rising, sleep quality, Pittsburgh Sleep Quality Index (PSQI), and Hamilton Anxiety Rating Scale (HAM-A) scales. Results Two patients, one from each group, did not complete study and the per-protocol dataset (n = 58) included 29 and 19 patients from test and placebo, respectively. The baseline parameters were similar in the two groups at baseline. The sleep onset latency was improved in both test and placebo at five and 10 weeks. However, the SOL was significantly shorter (p, 0.019) after 10 weeks with test [29.00 (7.14)] compared to placebo [33.94 (7.65)]. Also, significant improvement in SE scores was observed with Ashwagandha which was 75.63 (2.70) for test at the baseline and increased to 83.48 (2.83) after 10 weeks, whereas for placebo the SE scores changed from 75.14

No abstract

IntroductionHepatitis C virus (HCV) infection prevalence is believed to be elevated in Punjab, India; however, state-wide prevalence data are not available. An understanding of HCV prevalence, risk factors and genotype distribution can be used to plan control measures in Punjab.MethodsA cross-sectional, state-wide, population-based serosurvey using a multi-stage stratified cluster sampling design was conducted October 2013 to April 2014. Children aged ≥5 years and adults were eligible to participate. Demographic and risk behavior data were collected, and serologic specimens were obtained and tested for anti-HCV antibody, HCV Ribonucleic acid (RNA) on anti-HCV positive samples, and HCV genotype. Prevalence estimates and adjusted odds ratios for risk factors were calculated from weighted data and stratified by urban/rural residence.Results5,543 individuals participated in the study with an overall weighted anti-HCV prevalence of 3.6% (95% Confidence Interval [CI]: 3.0%–4.2%) and chronic infection (HCV Ribonucleic acid test positive) of 2.6% (95% CI: 2.0%–3.1%). Anti-HCV was associated with being male (adjusted odds ratio 1.52; 95% CI: 1.08–2.14), living in a rural area (adjusted odds ratio 2.53; 95% CI: 1.62–3.95) and was most strongly associated with those aged 40–49 (adjusted odds ratio 40–49 vs. 19–29-year-olds 3.41; 95% CI: 1.90–6.11). Anti-HCV prevalence increased with each blood transfusion received (adjusted odds ratio 1.36; 95% CI: 1.10–1.68) and decreased with increasing education, (adjusted odds ratio 0.37 for graduate-level vs. primary school/no education; 95% CI: 0.16–0.82). Genotype 3 (58%) was most common among infected individuals.DiscussionThe study findings, including the overall prevalence of chronic HCV infection, associated risk factors and demographic characteristics, and genotype distribution can guide prevention and control efforts, including treatment provision. In addition to high-risk populations, efforts targeting rural areas and adults aged ≥40 would be the most effective for identifying infected individuals.

To better understand hepatitis C virus (HCV) epidemiology in Punjab state, India, we estimated the distribution of HCV antibody positivity (anti-HCV+) using a 2013–2014 HCV household seroprevalence survey. Household anti-HCV+ clustering was investigated (a) by individual-level multivariable logistic regression, and (b) comparing the observed frequency of households with multiple anti-HCV+ persons against the expected, simulated frequency assuming anti-HCV+ persons are randomly distributed. Village/ward-level clustering was investigated similarly. We estimated household-level associations between exposures and the number of anti-HCV+ members in a household (N = 1593 households) using multivariable ordered logistic regression. Anti-HCV+ prevalence was 3.6% (95% confidence interval 3.0–4.2%). Individual-level regression (N = 5543 participants) found an odds ratio of 3.19 (2.25–4.50) for someone being anti-HCV+ if another household member was anti-HCV+. Thirty households surveyed had ⩾2 anti-HCV+ members, whereas 0/1000 (P < 0.001) simulations had ⩾30 such households. Excess village-level clustering was evident: 10 villages had ⩾6 anti-HCV+ members, occurring in 31/1000 simulations (P = 0.031). The household-level model indicated the number of household members, living in southern Punjab, lower socio-economic score, and a higher proportion having ever used opium/bhuki were associated with a household's number of anti-HCV+ members. Anti-HCV+ clusters within households and villages in Punjab, India. These data should be used to inform screening efforts.

No abstract