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

Author:

OLUWASANYA Grace1,OMONIYI Ayodetimi2,PERERA Duminda1,LAYI-ADIGUN Barakat2,THUY Laurens3,QADIR Manzoor1

Affiliation:

1. United Nations University Institute for Water, Environment and Health (UNU-INWEH)

2. The Federal University of Agriculture, Abeokuta (FUNAAB)

3. United Nations Educational, Scientific and Cultural Organization World Water Assessment Programme (UNESCO WWAP)

Abstract

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.

Publisher

Research Square Platform LLC

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