Water Quality, Sanitation, and Hygiene Conditions in Schools and Households in Dolakha and Ramechhap Districts, Nepal: Results from A Cross-Sectional Survey

Int J Environ Res Public Health. 2017 Jan 18;14(1):89. doi: 10.3390/ijerph14010089.

Abstract

This study assessed drinking water quality, sanitation, and hygiene (WASH) conditions among 708 schoolchildren and 562 households in Dolakha and Ramechhap districts of Nepal. Cross-sectional surveys were carried out in March and June 2015. A Delagua water quality testing kit was employed on 634 water samples obtained from 16 purposively selected schools, 40 community water sources, and 562 households to examine water quality. A flame atomic absorption spectrophotometer was used to test lead and arsenic content of the same samples. Additionally, a questionnaire survey was conducted to obtain WASH predictors. A total of 75% of school drinking water source samples and 76.9% point-of-use samples (water bottles) at schools, 39.5% water source samples in the community, and 27.4% point-of-use samples at household levels were contaminated with thermo-tolerant coliforms. The values of water samples for pH (6.8-7.6), free and total residual chlorine (0.1-0.5 mg/L), mean lead concentration (0.01 mg/L), and mean arsenic concentration (0.05 mg/L) were within national drinking water quality standards. The presence of domestic animals roaming inside schoolchildren's homes was significantly associated with drinking water contamination (adjusted odds ratio: 1.64; 95% confidence interval: 1.08-2.50; p = 0.02). Our findings call for an improvement of WASH conditions at the unit of school, households, and communities.

Keywords: Nepal; cross-sectional survey; drinking water quality; hygiene; sanitation; schoolchildren.

MeSH terms

  • Adolescent
  • Child
  • Cross-Sectional Studies
  • Drinking Water / chemistry*
  • Family Characteristics*
  • Female
  • Humans
  • Hygiene*
  • Male
  • Nepal
  • Odds Ratio
  • Sanitation / statistics & numerical data*
  • Schools / statistics & numerical data*
  • Socioeconomic Factors
  • Surveys and Questionnaires
  • Water Quality*
  • Water Supply / statistics & numerical data*

Substances

  • Drinking Water