JOURNAL ARTICLE

Towards a feminist political ecology of health: Mystery kidney disease and the co-production of social, environmental, and bodily difference.

  • Published In: Environment & Planning E: Nature & Space, 2023, v. 6, n. 2. P. 1007 1 of 3

  • Database: Environment Complete 2 of 3

  • Authored By: Senanayake, Nari 3 of 3

Abstract

This article examines health improvement interventions targeting chronic kidney disease of unknown etiology (CKDu) in Sri Lanka's north-central dry zone through an intersectional lens, emphasizing how social, ecological, and bodily differences co-produce uneven health outcomes. Drawing on ethnographic research, it highlights how initiatives such as community-scale reverse osmosis (RO) water filters and promotion of indigenous (deshiya) rice cultivation generate differentiated benefits and burdens: poor women disproportionately bear increased labor demands for water procurement, while economically and ecologically marginalized farmers face intensified agrochemical use and market constraints. The study argues that these interventions reconfigure local socioecological relations, producing new patterns of harm alongside health opportunities, and that understanding these dynamics requires integrating intersectionality into political ecologies of health. It concludes that without addressing the complex, intersecting axes of power shaping residents' capacities to adopt "healthful" practices, such schemes risk perpetuating inequalities and paradoxical effects in disease mitigation.

Additional Information

  • Source:Environment & Planning E: Nature & Space. 2023/06, Vol. 6, Issue 2, p1007
  • Document Type:Article
  • Subject Area:Environmental Sciences
  • Publication Date:2023
  • ISSN:2514-8486
  • DOI:10.1177/25148486221113963
  • Accession Number:164078042
  • Copyright Statement:Copyright of Environment & Planning E: Nature & Space is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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