Measurement and meaning: reporting sex in health research
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Estimates of WASH-related disease burden are not disaggregated by sex, despite calls and guidelines to do so in public health and in the WASH sector.
“These estimates are not disaggregated by sex, despite calls and guidelines to do so in public health11, 12 and in the WASH sector.13”
Our review shows that the true burden of inadequate WASH is likely far greater.
“Our review shows that the true burden of inadequate WASH is likely far greater, supporting calls to collect and report sex-disaggregated and gender-specific data that also considers intersectionalities, [312,313] and to not discount or ignore impacts predominantly or only experienced by women and girls [314].”
From Water, sanitation, and women’s empowerment: A systematic review and qualitative metasynthesis (2022) · cites this paper as [313]
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- Authors
- Hawkes, S., Haseen, F., & Aounallah-Skhiri, H.
- Affiliations
- University College London (GB)
- Bangladesh Medical University (BD)
- Corresponding author
- Hawkes, Sarah
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2019-02
- Volume
- 393
- Issue
- 10171
- Pages
- 497-499
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- OpenAlex
- W2912529794
- Cited by
- 22
- References
- 8
- Citations by year
- 2026: 1 · 2025: 3 · 2024: 3 · 2023: 2 · 2022: 7 · 2021: 2 · 2020: 1 · 2019: 3
- FWCI
- 2.99
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Amgen
- National Institutes of Health
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Sex and Gender in Healthcare
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Gender Studies › Diversity and Career in Medicine
- Keywords
- sex differences, normality, measurement, gender and medicine, sex as a variable
- MeSH terms
- Research, Bibliometrics
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