Domestic spousal violence against women in developing countries like India, is now beginning to be recognized as a widespread health problem impeding development. This study aimed to explore the risk and protective factors for lifetime spousal physical violence. A cross-sectional household survey was carried out in rural, urban and urban-slum areas across seven sites in India, among women aged 15-49 years, living with a child less than 18 years of age. The sample was selected using the probability proportionate to size method. Trained field workers administered a structured questionnaire to elicit information on spousal physical violence. The main hypothesized variables were social support, witnessed father beating mother and experience of harsh physical violence during childhood, alcohol abuse by spouse and socioeconomic variables. The outcome variables included three physical violence behaviours of hit, kick and beat. Odds ratios were calculated for risk and protective factors of violence using logistic regression. Of 9938 women surveyed, 26% reported experiencing spousal physical violence during the lifetime of their marriage. Adjusted odds ratios calculated using multiple logistic regression analysis suggest that women whose husbands regularly consumed alcohol (OR 5.6; 95% CI 4.7-6.6); who experienced dowry harassment (OR 3.2; 95% CI 2.7-3.8); had reported experiencing harsh physical punishment during childhood (OR 1.6; 95% CI 1.4-1.8) and had witnessed their fathers beat their mothers (OR 1.9; 95% CI 1.6-2.1), were at increased risk of spousal physical violence (beat, hit and kick). Higher socioeconomic status and good social support acted as protective buffers against spousal physical violence. The findings provide compelling evidence of the potential risk factors for spousal physical violence, which in turn could help in planning interventions.

Objective To determine the prevalence of physical violence during pregnancy and the factors associated with it.Design A population-based, multicentre, cross sectional household survey.Setting Rural, slum and urban non-slum areas of Bhopal, Chennai, Delhi, Lucknow, Nagpur, Trivandrum and Vellore, in India. Participants A total of 9938 women who were 15 to 49 years of age and living with a child younger than 18 years old. Methods Probability proportionate to size sampling of households was performed in three strata. Trained field workers administered a structured questionnaire. Women who reported domestic violence were asked about violence during pregnancy. Outcome variables included six violent behaviours: slap, hit, kick, beat, use of weapon and harm in any other way. Moderate to severe violence was defined as experience of any one or more of the following behaviours: hit, beat or kick. Odds ratios were calculated for risk and protective factors of violence during pregnancy using logistic regression. Main outcome measures Physical spousal violence.Results The lifetime experience, during pregnancy, of being slapped was 16%, hit 10%, beat 10%, kicked 9%, use of weapon 5% and harmed in any other way 6%. Eighteen percent of women experienced at least one of these behaviours and 3% experienced all six. The overall prevalence of moderate to severe violence during pregnancy was 13%. Logistic regression showed that the factors determining whether a woman experienced moderate to severe violence during pregnancy were: husband accusing wife of an affair (OR 7.1; 95% CI 5.1 to 9.8), dowry harassment (OR 4.1; 95% CI 2.8 to 6.1), husband having an affair (OR 3.7; 95% CI 2.8 to 4.8), husband being regularly drunk (OR 3.2; 95% CI 2.6 to 4.1), low education of husband (OR 2.8; 95% CI 1.4 to 5.6), substance abuse by husband (OR 2.6; 95% CI 1.3 to 5.5), no social support (OR 1.8; 95% CI 1.1 to 3.0), three or more children (OR 1.6; 95% CI 1.2 to 2.1) and household crowding (OR 1.1; 95% CI 1.0 to 1.2). Conclusion In this study, 12.9% of women experienced moderate to severe physical violence during pregnancy. Suspicion of infidelity, dowry harassment, husband being regularly drunk and low education of husband were the main risk factors for violence during pregnancy.

Eighty patients with non-insulin-dependent diabetes mellitus being treated in a south Indian hospital were biopsied to confirm suspected nondiabetic renal disease (NDRD). The positive predictive value of the standard clinical indicators for NDRD in the presence or absence of diabetic retinopathy was 54 and 87%, respectively. These values are higher than those given by comparable studies in Western populations. This is probably due to a higher prevalence of NDRD in the population of south India, and especially of proliferative glomerulonephritis, which was found in 21.5% of the patients studied. Standard clinical predictors of NDRD in diabetics have a high predictive value in the tropics where there is a high prevalence of proliferative glomerulonephritis.

There is significant physical abuse during pregnancy in central India. Routine screen by AAS and a cohort study looking at adverse outcome of pregnancy is recommended.

Background: Since the onset of the COVID-19 in China, forecasting and projections of the epidemic based on epidemiological models have been in the centre stage. Researchers have used various models to predict the maximum extent of the number of cases and the time of peak. This yielded varying numbers. This paper aims to estimate the effective reproduction number (R) for COVID-19 over time using incident number of cases that are reported by the government. Methods: Exponential Growth method to estimate basic reproduction rate R 0 , and Time dependent method to calculate the effective reproduction number (dynamic) were used. "R0" package in R software was used to estimate these statistics. Results: The basic reproduction number (R 0 ) for India was estimated at 1.