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Water quality and gender intersections: Assessing differential impacts on health and well-being in Abeokuta, Nigeria

Research Square (Research Square) 2023 Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Grace Oluwasanya, Ayodetimi Omoniyi, Duminda Perera, Barakat O. Layi-Adigun, Laurens Thuy, Manzoor Qadir

Summary

This paper is not about microplastics — it examines how water quality and sanitation challenges in Nigeria affect men, women, and children differently based on gender and socioeconomic status.

Abstract It is often assumed that humans experience the effect of poor water quality like multiple health and socioeconomic impacts in the same way. But these impacts are not gender-neutral due to inequalities caused by physiological composition, age marginalization, and socioeconomic conditions, among others. We analyzed the intersections between water quality and gender and applied a mixed-method approach in collecting local-specific data and information. The assessment shows that without point-of-use water treatment, the water sources in the area are not safe for potable purposes, as the waters are hard in the sequence of borehole > surface water > hand-dug well > sachet water, with elevated levels of calcium (> 75mg/L) and not free from microbial contamination. Among the area population segments, men and boys (relative to women and girls) are more susceptible (55%) to the compounding health effects associated with the hardness and high calcium concentration in water. Girls are the most affected by the associated impacts of water collection. Men and boys are more vulnerable to the consequences of poor hygiene, while women are more susceptible to the health effects of toilet cleaning and sharing of sanitation facilities. Though most women and girls prefer disposable sanitary pads, women change more frequently and practice better menstrual hygiene than girls. We conclude that there are differential impacts of unsafe water, WASH services, and practices on human health. Gendered statistics through sex-disaggregated data is crucial to unmasking the differential impacts, which are neither gender-neutral nor evenly distributed between women and men, and boys and girls.

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