Assessing Urine Concentration in Children by Combining Urine Color and Void Number

2017 ◽  
Vol 49 (5S) ◽  
pp. 319
Author(s):  
Lisa T. Jansen ◽  
Giannis Arnaoutis ◽  
Dimitris Bougatsas ◽  
J.D. Adams ◽  
Jeanne H. Bottin ◽  
...  
Keyword(s):  
Urine Concentration ◽  
Urine Color

scholarly journals Athletes’ Self-Assessment of Urine Color Using Two Color Charts to Determine Urine Concentration

2021 ◽  
Vol 18 (8) ◽  
pp. 4126
Author(s):  
Floris C. Wardenaar ◽  
Daniel Thompsett ◽  
Kaila A. Vento ◽  
Kathryn Pesek ◽  
Dean Bacalzo
Keyword(s):  
Area Under The Curve ◽  
Diagnostic Value ◽  
Urine Concentration ◽  
Urine Specific Gravity ◽  
Board Members ◽  
Self Assessment ◽  
Athletic Population ◽  
Institutional Review ◽  
Sample Classification ◽  
Urine Color

Our objective was to determine self-reported accuracy of an athletic population using two different urine color (Uc) charts (8-color vs. 7-color Uc chart). After approval by the Institutional Review Board, members of an athletic population (n = 189, 20 (19–22) year old student- or tactical athletes and coaches, with n = 99 males and n = 90 females) scored their Uc using two charts. To determine the diagnostic value of Uc, results were compared with urine concentration (osmolality and urine specific gravity, USG). Uc was scored slightly darker with the 8-color vs. 7-color Uc chart (2.2 ± 1.2 vs. 2.0 ± 1.2, respectively, p < 0.001), with a moderate correlation between charts (r = 0.76, 95% CI: 0.69–0.81). Bland-Altman analysis showed a weak reporting bias (r = 0.15, p = 0.04). The area under the curve for correct urine sample classification ranged between 0.74 and 0.86. Higher accuracy for both methods was found when Uc scores were compared to USG over osmolality, indicated by 4.8–14.8% range in difference between methods. The optimal Uc cut-off value to assess a low vs. a high urine concentration for both Uc charts varied in this study between 1 and ≤2 while accuracy for charts was similar up to 77% when compared to USG.

scholarly journals A Urine Color Chart Is An Accurate Tool For Self-identification Of High Urine Concentration In Athletes

2020 ◽  
Vol 52 (7S) ◽  
pp. 493-493
Author(s):  
Floris C. Wardenaar ◽  
Daniel Thompsett ◽  
Kathryn Pesek ◽  
Abigail T. Colburn ◽  
Kaila Vento ◽  
...  
Keyword(s):  
Urine Concentration ◽  
Color Chart ◽  
Urine Color

scholarly journals Validity Of Scoring Urine Color At Different Light Intensities To Assess Urine Concentration

2021 ◽  
Vol 53 (8S) ◽  
pp. 346-347
Author(s):  
Floris C. Wardenaar ◽  
Kaila A. Vento ◽  
Scott Armistead ◽  
Daniel Thompsett
Keyword(s):  
Urine Concentration ◽  
Light Intensities ◽  
Urine Color

scholarly journals Urine color as an indicator of urine concentration in pregnant and lactating women

2015 ◽  
Vol 56 (1) ◽  
pp. 355-362 ◽  
Author(s):  
Amy L. McKenzie ◽  
Colleen X. Muñoz ◽  
Lindsay A. Ellis ◽  
Erica T. Perrier ◽  
Isabelle Guelinckx ◽  
...  
Keyword(s):  
Urine Concentration ◽  
Lactating Women ◽  
Urine Color

scholarly journals Monitoring Body Water Balance in Pregnant and Nursing Women: The Validity of Urine Color

2017 ◽  
Vol 70 (Suppl. 1) ◽  
pp. 18-22 ◽  
Author(s):  
Amy L. McKenzie ◽  
Lawrence E. Armstrong
Keyword(s):  
Water Balance ◽  
Urine Osmolality ◽  
Urine Concentration ◽  
Body Water ◽  
Single Sample ◽  
Hydration Status ◽  
Positive Health ◽  
Lactating Women ◽  
Urine Color ◽  
And Control

Background: Urine osmolality (UOSM) reflects the renal regulation of excess fluid or deficit fluid, and therefore, serves as a marker of hydration status. Little is known about monitoring hydration in pregnant and lactating women despite significant physiological challenges to body water balance during that time. Therefore, we designed a study to assess if urine color (UCOL), an inexpensive and practical method, was a valid means of assessing urine concentration. Twenty-four hour UCOL was significantly correlated with 24 h UOSM in all women: pregnant, lactating, and control (r = 0.61-0.84, all p < 0.001). Utilizing a receiver operating characteristic statistical analysis, we found that 24 h and single sample UCOL had excellent diagnostic accuracy for identifying UOSM ≥500 mOsm·kg-1 in all women (area under the curve = 0.68-0.95, p < 0.001-0.46), and the UCOL that reflected this cut off was ≥4 on the UCOL chart. Summary: Therefore, UCOL is a valid marker of urine concentration and ultimately hydration status in pregnant, lactating, and non-pregnant, non-lactating women. For pregnant, lactating, and control women, the UCOL chart is a valid tool that can be used to monitor urine concentration in a single sample or over the course of the day via a 24 h sample. Key Message: Women who present with a UCOL of 4 or more likely have a UOSM ≥500 mOsm·kg-1. Given the positive health benefits associated with UOSM <500 mOsm·kg-1, women should aim for a 1, 2, or 3 on the UCOL chart. If a UCOL of ≥4 is observed, women should consider increasing fluid consumption to improve hydration status.

scholarly journals The validity urine color scoring at different light conditions to assess low versus high urine concentration

2021 ◽  
Author(s):  
Floris Wardenaar ◽  
Scott Armistead ◽  
Kayla Boeckman ◽  
Brooke Butterick ◽  
Darya Youssefi ◽  
...  
Keyword(s):  
Light Condition ◽  
Urine Concentration ◽  
Urine Samples ◽  
Urine Specific Gravity ◽  
Light Conditions ◽  
Operating Characteristics ◽  
Lighting Condition ◽  
Urine Color ◽  
Urine Concentrations ◽  
Scoring Accuracy

Context: Urine color (Uc) is used to asses urine concentration when lab techniques are not feasible. Objective: To compare the accuracy of Uc scoring using four different light conditions and two different scoring techniques with a 7-color Uc chart. Additionally to assess the results' generalizability, a subsample was compared to scores obtained from fresh samples. Design: Descriptive laboratory study. Samples: 178 previously frozen urine samples were scored and n=78 samples were compared to its own fresh outcomes. Main outcome measure: Urine color and accuracy for classifying urine samples were calculated using receiver operating characteristics (ROC) analysis, allowing to compare the diagnostic capacity against a 1.020 urine specific gravity (USG) cut-off and defining optimal Uc cut-off value. Results: Uc was significantly different between light conditions (P&lt;0.01), with the highest accuracy (80.3%) of correctly classifications of low or high urine concentrations occurring at the brightest light condition. Lower light intensity scored 1.5–2 shades darker on a 7-color Uc scale than bright conditions (P&lt;0.001), with urine color but no further practical differences for accuracy between scoring techniques. Frozen was 0.5–1 shade darker than freshly measured Uc (P&lt;0.004), but they were moderately correlated (r=0.64). A Bland-Altman plot showed that reporting bias mainly affects darker Uc without impacting the diagnostic ability of the method. Conclusions: Uc scoring, accuracy and Uc cut-off values are affected by lighting condition but not by scoring technique, with higher accuracy and a one-shade lower Uc cut-off value at the brightest light (i.e. LED flashlight).

THE SOURCES OF AUXIN HORMONE TO GROWTH OF SHOOT PINEAPPLE STEM CUTTING (Ananascomosus.L. Merr.)

2016 ◽  
Vol 1 (1) ◽  
pp. 45-52
Author(s):  
Palupi Puspitorini
Keyword(s):  
Water Concentration ◽  
Urine Concentration ◽  
Experimental Results ◽  
Stem Cuttings ◽  
Randomized Design ◽  
Natural Hormone ◽  
Cow Urine ◽  
Urine Concentrations ◽  
Completely Randomized Design ◽  
Better Than

The aim of this study was to select the best sources of auxin of which it can stimulate the growth of shoots Pineapple plant cuttings. This research is compiled in a completely randomized design (CRD) with 4 treatments and 6 replications. The Data were statistically Analyzed by the DMRT. Level of treatment given proves that no treatment 0%, cow urine concentration of 25%, young coconut water concentration of 25% and Rootone F 100 mg / cuttings. The results showed that cow urine concentrations of 25% and Rootone F 100 mg give the best results in stimulating the growth of shoots pineapple stem cuttings. Experimental results concluded that the effect of this natural hormone were better than the shoots without given hormone.           

scholarly journals Hydration status, body composition, and anxiety status in aeronautical military personnel from Spain: a cross-sectional study

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Alejandra Carretero-Krug ◽  
Natalia Úbeda ◽  
Carlos Velasco ◽  
Juan Medina-Font ◽  
Trinidad Trujillo Laguna ◽  
...  
Keyword(s):  
Body Composition ◽  
Water Balance ◽  
Body Fat ◽  
Water Intake ◽  
Military Personnel ◽  
Hydration Status ◽  
Total Water ◽  
Percentage Of Body Fat ◽  
Urine Color ◽  
Total Water Intake

Abstract Background An adequate hydration status is critical to ensure efficiency during mental and physical activities. Our goal was to assess the hydration status of a Spanish group of aeronautical military men and to determine the association of hydration status with body composition and anxiety. Methods A total of 188 men were evaluated through a validated hydration questionnaire, anthropometric and biochemical parameters, and an anxiety questionnaire. Based on these methods, the criteria of hydration were established. Results Of the total sample, 81% met the hydration criteria (urine color = well hydrated, water balance ≥ 0 ml, and total water intake/weight ≥ 35 ml/kg), and 19% did not meet the hydration criteria (urine color = not sufficiently hydrated or dehydrated, water balance < 0 ml, and total water intake/weight < 35 ml/kg). Subjects not meeting the hydration criteria had lower urine pH, negative water balance, and lower water intake. The latter also had higher anxiety status (score = 4 vs. 3, P = 0.026), weight [(84.7 ± 10.5) vs. (80.5 ± 10.2) kg], body mass index [(26.3 ± 3.1) vs. (25.2 ± 2.8)]kg/m2, body fat [(22.3 ± 5.6) vs. (18.3 ± 6.5)] %, urine specific gravity, and urine color. Using a logistic binary regression model, hydration status was related significantly with the percentage of body fat (P = 0.004), but no relation was found with age, comorbidities, or medications. Furthermore, total water intake/weight was positively correlated with percentage of body water (r = 0.357, P = 0.000) and negatively with body fat (kg) (r = − 0.427, P = 0.000), percentage of body fat (r = − 0.405, P = 0.000), and waist/hip ratio (r = − 0.223, P = 0.002). Based on a linear regression model, total water intake/weight was related significantly with percentage of body fat (P = 0.001) and percentage of body water content (P = 0.035). No relation was found, however, with waist/hip ratio, age, comorbidities, or medications. Conclusions These findings all suggest a relationship between hydration status and body composition but also set the bases for future studies that relate hydration status and anxiety status. These results can be used to improve the hydration status and body composition of military personnel.

scholarly journals Availability of a Flavored Beverage and Impact on Children’s Hydration Status, Sleep, and Mood

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1757
Author(s):  
Michael R. Szymanski ◽  
Gabrielle E. W. Giersch ◽  
Margaret C. Morrissey ◽  
Courteney L. Benjamin ◽  
Yasuki Sekiguchi ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Quality Index ◽  
Pittsburgh Sleep Quality Index ◽  
Intervention Group ◽  
Urine Osmolality ◽  
Urine Specific Gravity ◽  
Hydration Status ◽  
Control Group ◽  
Profile Of Mood States ◽  
Urine Color

Euhydration remains a challenge in children due to lack of access and unpalatability of water and to other reasons. The purpose of this study was to determine if the availability/access to a beverage (Creative Roots®) influences hydration in children and, therefore, sleep quality and mood. Using a crossover investigation, 46 participants were randomly assigned to a control group (CON) or an intervention group and received Creative Roots® (INT) for two-week periods. We recorded daily first morning and afternoon urine color (Ucol), thirst perception, and bodyweight of the two groups. Participants reported to the lab once per week and provided first morning urine samples to assess Ucol, urine specific gravity (USG), and urine osmolality (Uosmo). Participants also completed the questionnaires Profile of Mood States-Adolescents (POMS-a) and Pittsburgh Sleep Quality Index (PSQI). Dependent t-tests were used to assess the effects of the intervention on hydration, mood, and sleep quality. Uosmo was greater and Ucol was darker in the control group (mean ± SD) [Uosmo: INT = 828 ± 177 mOsm·kg−1, CON = 879 ± 184 mOsm·kg−1, (p = 0.037], [Ucol:INT = 5 ± 1, CON = 5 ± 1, p = 0.024]. USG, POMS-a, and PSQI were not significant between the groups. At-home daily afternoon Ucol was darker in the control group [INT = 3 ± 1, CON = 3 ± 1, p = 0.022]. Access to Creative Roots® provides a small, potentially meaningful hydration benefit in children. However, children still demonstrated consistent mild dehydration based on Uosmo, despite consuming the beverage.

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