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The dynamics of household water security and treatment practices: a population-based, cross-sectional study in Osun State, Southwest Nigeria.

Olufemi O AlukoElizabeth O OloruntobaGodson R E E AnaOlusegun Temitope AfolabiAniekanabasi Jonathan Okon
Published in: Environmental monitoring and assessment (2022)
A minimum of basic water supply service is pertinent to improving living standards and water-dependent quality of life indices. In Nigeria, 14% have access to safely managed drinking water services, though approximately 30% of water pumps and schemes are likely to fail within 12 months of construction. This study aims to determine household water security and its predictors in Osun State, Nigeria. The cross-sectional study recruited 548 households through a five-stage sampling technique and used a semi-structured questionnaire for data collection. Results were presented by descriptive and inferential statistics, while binary logistic regression identified water-security predictors at P ά 0.05. Hand-dug wells (27.7%) and motorized boreholes (21.2%) were the predominant household drinking water sources. A total of 43.7% of households were water-secured while 35.2% of water sources were within residential settlements. A total of 25.1% of households experienced water scarcity, and 27.2% of households treat drinking water mainly by chlorination (56.7%) and boiling (14.7%). A total of 21.2%, 64.2%, and 9% of households, respectively, have safely managed basic and limited water supply services. Drinking water sources were associated with house ownership (p = 0.001) and residence period (p = 0.025) while water treatment was associated with gender (p = 0.010) and wealth (p = 0.0001). Age (p = 0.002) and wealth (p = 0.0001) are predictors of household water security. Two-fifths of households were water-secured, highlighting the dearth of potable water supply services and the need to incorporate strategic predictors of household water security in the existing national and state-level water resources regulations.
Keyphrases
  • drinking water
  • healthcare
  • primary care
  • mental health
  • health risk
  • health risk assessment
  • risk assessment
  • global health
  • deep learning
  • cross sectional