Objectives The major objective of this study was to investigate the prevalence of labour room violence (LRV) (one of the forms of obstetric violence) faced by the women during the time of delivery in Uttar Pradesh (UP) (the largest populous state of India which is also considered to be a microcosm of India). Furthermore, this study also analyses the association between prevalence of obstetric violence and socioeconomic characteristics of the respondents. Design The study was longitudinal in design with the first visit to women made at the time of first trimester. The second visit was made at the time of second trimester and the last visit was made after the delivery. However, we have continuously tracked women over phone to keep record of developments and adverse consequences. Settings Urban and rural areas of UP, India. Participants Sample of 504 pregnant women was systematically selected from the Integrated Child Development Scheme Register of pregnant women. Outcome We aimed to assess the levels and determinants of LRV using data collected from 504 pregnant women in a longitudinal survey conducted in UP, India. The dataset comprised three waves of survey from the inception of pregnancy to childbirth and postnatal care. Logistic regression model has been used to assess the association between prevalence of LRV faced by the women at the time of delivery and their background characteristics. Result About 15.12% of women are facing LRV in UP, India. Results from logistic regression model (OR) show that LRV is higher among Muslim women (OR 1.8, 95% CI 0.7 to 4.3) relative to Hindu women (OR 1). The prevalence of LRV is higher among lower castes relative to general category, and is higher among those women who have no mass media exposure (OR 4.7, 95% CI 1.7 to 12.8) compared with those who have (OR 1). Conclusion In comparison with global evidence, the level of LRV in India is high. Women from socially disadvantaged communities are facing higher LRV than their counterparts.

A growing number of studies have tested the association between intimate partner violence (IPV) and the unintendedness of pregnancy or birth, and most have suggested that unintendedness of pregnancy is a cause of IPV. However, about nine in every ten women face violence after delivering their first baby. This study examined the effects of the intendedness of births on physical IPV using data from the National Family Health Survey (2015–16). The multivariate logistic regression model analysis found that, compared with women with no unwanted births (2.9%), physical IPV was higher among those women who had unwanted births (6.9%, p<0.001), followed by those who had mistimed births (4.4 %, p<0.001), even after adjusting for several women’s individual and socioeconomic characteristics. Thus, the reduction of women with mistimed and unwanted births could reduce physical IPV in India. The study highlights the unfinished agenda of family planning in the country and argues for the need to integrate family planning and Reproductive, Maternal and Child Health Care (RMNCH) services to yield multi-sectoral outcomes, including the elimination of IPV.

The gender-inequality is a critical economic challenge that has a significant negative impact on global economic prospects. In this context, this study aims to investigate the association between gender inequality and growth outcomes in the form of gross domestic product (GDP hereafter) per-capita across 158 countries in the world during 2000-15. Our findings suggest that GII has a significant inverse correlation with GDP per-capita (r=-0.7886); While gender development index (GDI hereafter) shows a positive correlation with GDP per-capita (r=0.574). Results from the multivariate log-linear model show that country with a high level of gender inequality index (GII hereafter) is having significantly lower levels of GDP per-capita even after controlling for other covariates. This study evidentially suggests that the economic policy of the countries should prioritize autonomy, agency, and empowerment of women to improve their participation in the national economy. Unless countries reduce gender inequalities, achieving full economic potential is not possible.