ArticleJournal of athletic training2022
Validity of Urine Color Scoring Using Different Light Conditions and Scoring Techniques to Assess Urine Concentration.
Article in Journal of athletic training, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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Who cites it
5 citing papers in PubMed, 10 citations in OpenAlex.
- The accuracy of a 4-item hydration self-assessment model to classify urine concentration using different cut-offs.Performance nutrition · 2026Article
- Plasma and serum volume remain unchanged following a 12-h fast from food and drink despite changes in blood and urinary hydration markers.European journal of clinical nutrition · 2025Article
- A 3D color model reports urine color similarly to a printed color chart with similar accuracy to determine a low vs. high urine concentration.Performance nutrition · 2025Article
- Observational
- Urine color expressed in CIE L*a*b* colorspace during rapid changes in hydration status.Current research in physiology · 2022Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextUrine color (Uc) is used to asses urine concentration when laboratory techniques are not feasible.
objectiveTo compare the accuracy of Uc scoring using 4 light conditions and 2 scoring techniques with a 7-color Uc chart. Additionally, to assess the results' generalizability, a subsample was compared with scores obtained from fresh samples.
designDescriptive laboratory study. SAMPLES: A total of 178 previously frozen urine samples were scored, and 78 samples were compared with their own fresh outcomes. MAIN OUTCOME MEASURE(S): Urine color and accuracy for classifying urine samples were calculated using receiver operating characteristics analysis, allowing us to compare the diagnostic capacity against a 1.020 urine specific gravity cutoff and defining optimal Uc cutoff value.
resultsUrine color was different among light conditions (P < .01), with the highest accuracy (80.3%) of correct classifications of low or high urine concentrations occurring at the brightest light condition. Lower light intensity scored 1.5 to 2 shades darker on the 7-color Uc scale than bright conditions (P < .001), but no further practical differences in accuracy occurred between scoring techniques. Frozen was 0.5 to 1 shade darker than freshly measured Uc (P < .004), but the values were moderately correlated (r = 0.64). A Bland-Altman plot showed that reporting bias mainly affected darker Uc without affecting the diagnostic ability of the method.
conclusionsUrine color scoring, accuracy, and Uc cutoff values were affected by lighting condition but not by scoring technique, with greater accuracy and a 1-shade-lower Uc cutoff value at the brightest light (ie, light-emitting diode flashlight).
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