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Abstract Background Globally, one in three women experienced domestic violence. Alike the scenario observed in India, and a very few studies talk about violence and its consequences on women's health. Hence, the purpose of this study is to access the level of various types of spousal violence in India and to understand the association between physical, sexual and emotional violence against ever-married women by their husbands. The study further examines the consequences of spousal violence on women's health in terms of adverse pregnancy outcomes and reproductive health in India. Methods The study uses secondary data from National Family Health Survey-4 (NFHS-4, 2015–16). The analysis was based on a sample of ever-married women aged 15–49 years. Bivariate descriptive analysis and multiple regression analyses have been carried out to understand the association between spousal violence and its consequences on women's health. Results The study finds that the physical, sexual and emotional violence experienced by ever-married women in India are 29.8%, 13.8% and 7.0%, respectively. Further, the physical and sexual violence experienced by women have a significant association with an unwanted pregnancy, abortion, miscarriages and ever had termination of pregnancies. The regression analysis shows that violence by sexual partners among battered women increased the likelihood of unwanted pregnancy. Similarly, abortion and ever had a termination of pregnancies are also adversely affected by partner violence. Further, the risk of sexually transmitted infection increases 77% by sexual violence and 44% by emotional violence among battered women. Also, Sexual violence substantially increases the risk of prolonged labour during pregnancy. Conclusion This study revealed that one in three women experiencing violence by their husband and also it is evident that various forms of spousal violence adversely affect pregnancies outcomes and reproductive health among battered women compared to not battered.

Abstract Background The purpose of this study is to assess the status of physical body indices such as body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (WHR) among the older adults aged 45 and above in India. Further, to explore the association of anthropometric indices with various non-communicable morbidities. Methods The study uses secondary data of the Longitudinal Ageing Survey’s first wave in India (2017–18). The national representative sample for older adults 45 and above (65,662) considered for the analysis. The prevalence of the non-communicable diseases (NCDs) included in the study is based on the self-reporting of the participants. Diseases included are among the top ten causes of death, such as cancer, hypertension, stroke, chronic heart diseases, diabetes, chronic respiratory diseases, and multi-morbidity. Multi-morbidity is a case of having more than one of the morbidities mentioned above. BMI-obese indicates an individual having a BMI ≥30, and the critical threshold value for high-risk WC for men is ≥102 cm while for women is ≥88 cm. The critical limit for the high-risk WHR for men and women is ≥0.90 and ≥ 0.85, respectively. Descriptive statistics and multiple logistic regressions are used to assess the association BMI, WC, and WHR with non-communicable morbidities. Results Based on the multivariate-adjusted model, odds shows that an Indian older adult aged 45 and above is 2.3 times more likely (AOR: 2.33; 95% CI (2.2, 2.5)) by obesity, 61% more likely (AOR: 1.61; 95% CI (1.629, 1.631)) by high-risk WHR and 98% more likely (AOR: 1.98; 95% CI (1.9, 2.1)) by high-risk WC to develop CVDs than their normal counterparts. Similarly, significant positive associations of obesity, high-risk WC, and high-risk WHR were observed with other NCDs and multi-morbidity. Conclusion Our study shows that obesity, high-risk WC, and high-risk WHR are significant risks for developing NCDs and multi-morbidity among the older adults in India. There is a need for a multi-sectoral approach to reduce the share of the elderly population in high-risk groups of BMIs, WHR, and WC.