Our research shows the complex global relationship between widowhood and depression. Studies that do not compare depression trajectories over time may make incorrect inferences about the persistence of depression by gender and country. Interventions should target different components of depression: mood-related symptoms for men and somatic-related symptoms for women for most effective recovery.

BackgroundGlobally, one in ten individuals practice open defecation. Despite media speculation that it increases women’s risk of sexual violence, little empirical evidence supports the claims. We investigate the relationship between household sanitation facilities and women’s risk of non-partner sexual violence (NPSV) in India, where nearly half of the population lives without a pit or toilet.MethodsWe use the most recent NPSV data, from the National Family Health Survey-III, to estimate logistic regression models of the effects of household sanitation facilities (toilet, pit, or none) on NPSV in the last year among women who have resided in their current home for one year or more. These effects are estimated net of other socioeconomic factors, compared to effects of household sanitation facilities on child diarrhea, and, as a falsification test, compared to effects of household sanitation facilities on intimate partner sexual violence (IPSV) in the last year.ResultsNet of their socioeconomic status, women who use open defecation are twice as likely to face NPSV as women with a household toilet. This is twice the association between open defecation and child diarrhea. The results of our falsification test indicate that open defecation is not correlated with IPSV, thus disconfirming a simultaneous selection of women into open defecation and sexual violence.ConclusionsOur findings provide empirical evidence that lacking household sanitation is associated with higher risk of NPSV.

This study examines the relationship between male to female physical domestic violence and contraceptive adoption among women in four economically and culturally distinct areas of India. Data from India’s 1998–1999 National Family Health Survey–2 and a follow-up survey in 2002–2003 for which the same women in four states were reinterviewed are analyzed. The focus of the analysis is on how baseline exposure to physical domestic violence is associated with the intersurvey adoption of contraception. Women who experience physical violence from their husbands are significantly less likely to adopt contraception in the intersurvey period, although this relationship varies by State. This study builds upon previous work by using an indicator of physical domestic violence exposure that is measured before contraceptive adoption, thus allowing the identification of how exposure to violence shapes the adoption of contraception. The results demonstrate that for women living in Bihar and Jharkhand there is a clear negative relationship between physical domestic violence and a woman’s adoption of contraception; this relationship was not found for women in Maharashtra and Tamil Nadu. The results point to the need to include domestic violence screening and referral services into family planning services.

The prevalence of domestic violence and abortion in India is high, yet little is known about the relationship between these experiences. Data from two linked data sets, India's 1998-1999 National Family Health Survey (NFHS-2) and a follow-up survey in 2002-2003, were analyzed. The analysis examines how the experience of physical violence affects the subsequent uptake of abortion, and how the experience of abortion affects subsequent experience of physical, sexual, and verbal violence. Women who experienced physical violence have significantly higher odds of reporting a subsequent induced abortion, whereas women who had an induced abortion have significantly higher odds of reporting subsequent sexual and verbal violence. There was no significant relationship between domestic violence and spontaneous abortion.

Because contraceptive prevalence and unmet need for family planning estimates for unmarried women vary widely depending on the chosen sexual recency inclusion factor, all data platforms should adopt a 1-month window in these calculations to have comparable and actionable estimates.