Water insecurity in 3 dimensions: an anthropological perspective on water and women's psychosocial distress in Ethiopia.

Journal: Social science & medicine (1982)

Volume: 75

Issue: 2

Year of Publication: 2012

Affiliated Institutions:  Hubert Department of Global Health, Rollins School of Public Health, Clifton Road, Atlanta, GA , USA. jed.stevenson@gmail.com

Abstract summary 

Water insecurity is a primary underlying determinant of global health disparities. While public health research on water insecurity has focused mainly on two dimensions, water access and adequacy, an anthropological perspective highlights the cultural or lifestyle dimension of water insecurity, and its implications for access/adequacy and for the phenomenology of water insecurity. Recent work in Bolivia has shown that scores on a water insecurity scale derived from ethnographic observations are associated with emotional distress. We extend this line of research by assessing the utility of a locally developed water insecurity scale, compared with standard measures of water access and adequacy, in predicting women's psychosocial distress in Ethiopia. In 2009-2010 we conducted two phases of research. Phase I was mainly qualitative and designed to identify locally relevant experiences of water insecurity, and Phase II used a quantitative survey to test the association between women's reported water insecurity and the Falk Self-Reporting Questionnaire (SRQ-F), a measure of psychosocial distress. In multiple regression models controlling for food insecurity and reported quantity of water used, women's water insecurity scores were significantly associated with psychosocial distress. Including controls for time required to collect water and whether water sources were protected did not further predict psychosocial distress. This approach highlights the social dimension of water insecurity, and may be useful for informing and evaluating interventions to improve water supplies.

Authors & Co-authors:  Stevenson Edward G J EG Greene Leslie E LE Maes Kenneth C KC Ambelu Argaw A Tesfaye Yihenew Alemu YA Rheingans Richard R Hadley Craig C

Study Outcome 

Source Link: Visit source

Statistics
Citations :  Analytic Technologies. UCINET 6. 2011 Retrieved August 23, 2011 from http://www.analytictech.com/ucinet.htm.
Authors :  7
Identifiers
Doi : 10.1016/j.socscimed.2012.03.022
SSN : 1873-5347
Study Population
Male,Female
Mesh Terms
Adult
Other Terms
Study Design
Ethnographic Study,Cross Sectional Study
Study Approach
Quantitative,Qualitative
Country of Study
Ethiopia
Publication Country
England