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<p>This study aims to assess the prevalence and determinants of sexual violence among married women in India using data from the National Family Health Survey-5 (NFHS-5) and the risk factors influencing it. Data from 63,851 ever-married women were analysed using a multilevel ecological model using Stata MP v18. Variables were categorised into indices affecting women’s lives. Logistic regression was used to identify factors associated with sexual violence. The study revealed that 6.1% of women experienced sexual violence. Significant factors influencing sexual violence included clerical occupations (AOR: 0.25, CI: 0.09, 0.63), and those not working (AOR: 0.57, CI: 0.35, 0.92) have lower odds compared to their counterparts. Women who witnessed their fathers beating their mothers (AOR: 2.41, CI: 2.08, 2.80), those who justify wife-beating (AOR: 1.67, CI: 1.45, 1.92), those with less educated husbands, increased number of children born (AOR: 1.67, CI: 1.33, 2.10), poorest women (AOR: 2.50, CI: 1.84, 3.39) and lack of decision-making autonomy were significant correlates for high risk of sexual violence. The study highlights the persistent influence of socioeconomic, educational, and autonomy-related factors on the risk of sexual violence among married women. Enhancing women’s decision-making power and improving educational opportunities for men are essential for mitigating this risk. </p>

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Behind closed doors: national survey insights on sexual violence among ever-married women in India

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年5月16日

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  • Deepthi Ramamurthy,
  • Ashwini Lonimath,
  • Suthanthira Kannan,
  • Mohammed Shoyaib Khazi

摘要

This study aims to assess the prevalence and determinants of sexual violence among married women in India using data from the National Family Health Survey-5 (NFHS-5) and the risk factors influencing it. Data from 63,851 ever-married women were analysed using a multilevel ecological model using Stata MP v18. Variables were categorised into indices affecting women’s lives. Logistic regression was used to identify factors associated with sexual violence. The study revealed that 6.1% of women experienced sexual violence. Significant factors influencing sexual violence included clerical occupations (AOR: 0.25, CI: 0.09, 0.63), and those not working (AOR: 0.57, CI: 0.35, 0.92) have lower odds compared to their counterparts. Women who witnessed their fathers beating their mothers (AOR: 2.41, CI: 2.08, 2.80), those who justify wife-beating (AOR: 1.67, CI: 1.45, 1.92), those with less educated husbands, increased number of children born (AOR: 1.67, CI: 1.33, 2.10), poorest women (AOR: 2.50, CI: 1.84, 3.39) and lack of decision-making autonomy were significant correlates for high risk of sexual violence. The study highlights the persistent influence of socioeconomic, educational, and autonomy-related factors on the risk of sexual violence among married women. Enhancing women’s decision-making power and improving educational opportunities for men are essential for mitigating this risk.