Non-linear multivariate decomposition modelling of the predictors of menstrual product use among reproductive-aged women: evidence from the 2022 Ghanaian demographic and health survey - Takeaways - MDSpire

Non-linear multivariate decomposition modelling of the predictors of menstrual product use among reproductive-aged women: evidence from the 2022 Ghanaian demographic and health survey

  • By

  • Benjamin Ansah Dortey

  • Yula Salifu

  • Emefa Judith Modey Amoah

  • Emmanuel Anongeba Anaba

  • Joseph Lasong

  • Amidu Alhassan

  • Adom Manu

  • July 7, 2026

  • 0 min

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  • 1

    The study analyzed factors influencing menstrual product use among 12,497 women aged 15–49 in Ghana using the 2022 Demographic and Health Survey.

  • 2

    Higher educational attainment, household wealth, urban residence, and media exposure were strongly associated with the use of modern menstrual products.

  • 3

    Compositional factors, particularly household wealth and education, accounted for 63% of rural-urban inequalities in menstrual product use.

  • 4

    The study found that 13%–15% of the variance in menstrual product use was attributable to differences between clusters.

  • 5

    The findings highlight the need for policy interventions to address structural inequities in wealth, education, and community resources.

Original Source(s)

Non-linear multivariate decomposition modelling of the predictors of menstrual product use among reproductive-aged women: evidence from the 2022 Ghanaian demographic and health survey

  • by Benjamin Ansah Dortey, Yula Salifu, Emefa Judith Modey Amoah, Emmanuel Anongeba Anaba, Joseph Lasong, Amidu Alhassan, Adom Manu

  • July 7, 2026

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