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<p>Menstrual Hygiene Management (MHM) is essential for women’s health and reproductive life. Mass Media Exposure (MME) can significantly influence the use of hygienic menstrual absorbents. Using the fifth National Family Health Survey data, the current study investigates the association between women’s (15 to 24 years) MME and MHM condition in India. Binary Logistic Regression, Chi-square tests have been incorporated to reveal the empirical outcomes. A Mass Media Exposure Index (MMEI) has also been calculated. Further, district-wise calculations have also been attempted through a bivariate scatter plot with linear regression, Pearson’s correlation matrix, bivariate LISA (Local Indicators of Spatial Autocorrelation) cluster map and Moran’s <i>I</i> between MMEI and MHM. Moreover, spatial mapping of MMEI and MHM has been prepared. From the variables under MME, excluding listening to the radio, reading newspapers or magazines, watching television, using the internet and mobile phone, and MMEI are positively associated with the MHM. Moreover, the study explored deprived districts of India, which will be instrumental in shaping effective policies and advancing the Sustainable Development Goals (SDGs), particularly SDG-3 (Good Health and Well-being).</p>

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Shaping hygiene: the role of mass media in menstrual health among young Indian women

  • 期刊论文

  • 发表日期：

    2026年5月23日

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  • Arpita Trivedy,
  • Moududa Khatun

摘要

Menstrual Hygiene Management (MHM) is essential for women’s health and reproductive life. Mass Media Exposure (MME) can significantly influence the use of hygienic menstrual absorbents. Using the fifth National Family Health Survey data, the current study investigates the association between women’s (15 to 24 years) MME and MHM condition in India. Binary Logistic Regression, Chi-square tests have been incorporated to reveal the empirical outcomes. A Mass Media Exposure Index (MMEI) has also been calculated. Further, district-wise calculations have also been attempted through a bivariate scatter plot with linear regression, Pearson’s correlation matrix, bivariate LISA (Local Indicators of Spatial Autocorrelation) cluster map and Moran’s I between MMEI and MHM. Moreover, spatial mapping of MMEI and MHM has been prepared. From the variables under MME, excluding listening to the radio, reading newspapers or magazines, watching television, using the internet and mobile phone, and MMEI are positively associated with the MHM. Moreover, the study explored deprived districts of India, which will be instrumental in shaping effective policies and advancing the Sustainable Development Goals (SDGs), particularly SDG-3 (Good Health and Well-being).