ArticleAmbio2026
From bathing standards to lived waterscapes: Why we need to rethink inland blue space quality.
Article in Ambio, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Currently, the main way that recreational blue space quality is monitored and communicated to potential users is through designated bathing water status, which is evaluated via microbiological standards and epidemiological evidence; however, our experiences of blue spaces extend beyond bathing and microbiology. Interactions across sensory and ecological dynamics are central to recreation in blue spaces where perceived cleanliness, aesthetic appeal, and multisensory richness influence patterns of use, enjoyment and wellbeing outcomes. We propose a need to reconceptualise what we mean by recreational water quality, to better reflect the diversity of 'qualities' associated with inland blue space and their influence on health-related outcomes. In this perspective, we outline why a reconceptualisation of recreational water quality classifications is needed, suggest what could be done to work towards a reconceptualised approach of classifying and communicating recreational inland water quality and consider which institutional mechanisms could support such a shift in approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.