Optimal Water Intake Research Articles

Water intake and obesity: By amount, timing, and perceived temperature of drinking water.

Water intake has been suggested to be associated with weight control, but evidence for optimal water intake in terms of amount, timing, and temperature is sparse. Additionally, genetic predisposition to obesity, which affects satiety and energy expenditure, might interact with water intake in regulating individual adiposity risk. We conducted a cross-sectional study recruiting 172 Korean adults. Information on water intake and lifestyle factors was collected through self-reported questionnaires, and height, weight, and waist circumference (WC) were measured by researchers. The oral buccal swab was performed for genotyping of FTO rs9939609, MC4R rs17782313, BDNF rs6265 and genetic risk of obesity was calculated. Linear regression was performed to estimate mean difference in body mass index (BMI) and WC by water intake and its 95% confidence interval (95% CI). As a sensitivity analysis, logistic regression was performed to estimate odds ratio (OR) of obesity/overweight (BMI of ≥23kg/m2; WC of ≥90cm for men and of ≥80cm for women) and its 95% CI. Drinking >1L/day was significantly associated with higher BMI (mean difference: 0.90, 95% CI 0.09, 1.72) and WC (mean difference: 3.01, 95% CI 0.62, 5.41) compared with drinking ≤1L/day. Independent of total water intake, drinking before bedtime was significantly associated with lower BMI (mean difference: -0.98, 95% CI -1.91, -0.05). The results remained consistent when continuous BMI and WC were analyzed as categorical outcomes. By perceived temperature, drinking >1L/day of cold water was associated with higher BMI and WC compared with drinking ≤1L/day of water at room-temperature. By genetic predisposition to obesity, a positive association between water intake and WC was confined to participants with low genetic risk of obesity (P interaction = 0.04). In conclusion, amount, timing, and perceived temperature of water intake may be associated with adiposity risk and the associations might vary according to genetic predisposition to obesity.

Determination of Optimal Water Intake Layer Using Deep Learning-Based Water Quality Monitoring and Prediction

The effective management of drinking water sources is essential not only for maintaining their water quality but also for the efficient operation of drinking water treatment plants. A decline in water quality in water reservoirs can result in increased operational costs for water treatment and compromise the reliability and safety of treated water. In this study, a deep learning model, the long short-term memory (LSTM) algorithm, was employed to predict water quality and identify an optimal water intake layer across various seasons and years for Juam Lake, Korea. A comprehensive investigation was conducted to prioritize various water quality parameters and determine suitable intake layers. Based on these priorities, effective methods for optimizing an intake layer were developed to enable more reliable water intake operations. Water quality data from January 2013 to June 2023 were analyzed for the study. This dataset was used for rigorous statistical and correlational analyses to better understand the dynamics affecting water quality parameters. The findings aim to enhance the operational efficiency of water intake and treatment facilities.

Simulation of the Operation of a Borehole Groundwater Intake with an Annular Prefabricated Conduit

Among the considered options for schemes of prefabricated water conduits of borehole water intakes, the main ones are linear and ring schemes. The article presents a comparative analysis of the linear and ring schemes for the placement of prefabricated water conduits when choosing an option for designing a group well water intake with a circular arrangement of wells. It is founded that a small water intake with individual radial connections to the prefabricated unit can have advantages in reducing energy consumption for water transportation as compared to a water intake with an annular prefabricated conduit, which in any case should be justified by a feasibility comparison of options, which is based on hydraulic calculation water supply systems. Equations have been obtained for calculating the pumping rates of water intake wells with linear prefabricated conduits. It is shown that in an annular prefabricated conduit, in contrast to a linear one, in which the direction of movement of water flows is unambiguously known, there is always a point of separation of two flows directed along the ring to the prefabricated unit clockwise and counterclockwise, which makes it difficult to calculate such water intakes. Moreover, the position of this point depends on the number of water intake wells involved in the work and the parameters of the pipes connecting the sections of the water conduit. The absence of algorithms for calculating the ring prefabricated conduit with non-fixed flow rates at the well connection points complicates the hydraulic calculation, and, hence, finding the optimal water intake option. The article presents an algorithm for the hydraulic calculation of a water intake with a single-ring prefabricated conduit, which is based on the equation for the equality of pressure losses when water moves from the point of separation of two flows to the prefabricated unit along various paths and the continuity equation. The resulting algorithm can be easily extended to any number of wells. A numerical example of the hydraulic calculation of a group water intake, consisting of eight wells connected to an annular prefabricated, is considered.

Impact of Nocturnal Polyuria and Sleep Quality in Kidney Transplant Recipients With Nocturia

BackgroundTo investigate the quality of life (QOL) of patients with nocturia after kidney transplantation (KT) and the association between nocturnal polyuria and sleep quality. MethodsIn a cross-sectional study, a patient who consented was evaluated using the following items: international prostate symptom QOL score, nocturia-quality of life score, overactive bladder symptom score, Pittsburgh sleep quality index, bladder diary, uroflowmetry, and bioimpedance analysis. Clinical and laboratory data were obtained from medical charts. ResultsForty-three patients were included in the analysis. Approximately 25% of patients urinated once at night, and 58.1% had nocturia twice. Nocturnal polyuria was observed in 86.0% of patients, and overactive bladder was observed in 23.3% of patients. According to the Pittsburgh sleep quality Index, 34.9% of patients had poor sleep quality. Multivariate analysis revealed that patients with nocturnal polyuria tended to have a high estimated glomerular filtration rate (P = .058). On the other hand, multivariate analysis for poor sleep quality revealed that high body fat percentage and low nocturia-quality of life total score were independently correlated factors (P = .008 and P = .012, respectively). Furthermore, the patients with nocturia ≥3/night were significantly older than those with nocturia ≤2/night (P = .022). ConclusionNocturnal polyuria, poor sleep quality, and aging may decrease the QOL of patients with nocturia after KT. Further investigations, including optimal water intake and interventions, can lead to better management after KT.

Personalized prediction of optimal water intake in adult population by blended use of machine learning and clinical data

Growing evidence suggests that sustained concentrated urine contributes to chronic metabolic and kidney diseases. Recent results indicate that a daily urinary concentration of 500 mOsm/kg reflects optimal hydration. This study aims at providing personalized advice for daily water intake considering personal intrinsic (age, sex, height, weight) and extrinsic (food and fluid intakes) characteristics to achieve a target urine osmolality (UOsm) of 500 mOsm/kg using machine learning and optimization algorithms. Data from clinical trials on hydration (four randomized and three non-randomized trials) were analyzed. Several machine learning methods were tested to predict UOsm. The predictive performance of the developed algorithm was evaluated against current dietary guidelines. Features linked to urine production and fluid consumption were listed among the most important features with relative importance values ranging from 0.10 to 0.95. XGBoost appeared the most performing approach (Mean Absolute Error (MAE) = 124.99) to predict UOsm. The developed algorithm exhibited the highest overall correct classification rate (85.5%) versus that of dietary guidelines (77.8%). This machine learning application provides personalized advice for daily water intake to achieve optimal hydration and may be considered as a primary prevention tool to counteract the increased incidence of chronic metabolic and kidney diseases.

Total water intake guidelines are sufficient for optimal hydration in United States adults.

Recent studies suggest that 24-h urine osmolality (UOsm) for optimal water intake should be maintained < 500mmol·kg-1. The purpose of this study was to determine the total water intake (TWI) requirement for healthy adults to maintain optimal hydration as indicated by 24-h urine osmolality < 500mmol·kg-1. Twenty-four-hour UOsm was assessed in 49 men and 50 women residing in the United States (age: 41 ± 14 y, body mass index: 26.3 ± 5.2kg·m-2). TWI was assessed from 7-day water turnover, using a dilution of deuterium oxide, corrected for metabolic water production. The diagnostic accuracy of TWI to identify UOsm < 500mmol·kg-1 was evaluated using receiver operating characteristic (ROC) analysis in men and women separately. Twenty-four-hour UOsm was 482 ± 229 and 346 ± 182mmol·kg-1 and TWI was 3.57 ± 1.10L·d-1 and 3.20 ± 1.27L·d-1 in men and women, respectively. ROC analysis for TWI detecting 24-h UOsm < 500mmol·kg-1 in men yielded an area under the curve (AUC) of 77.4% with sensitivity, specificity, and threshold values of 83.3%, 64.5%, and 3.39L·d-1, respectively. The AUC was 82.4% in women with sensitivity, specificity, and threshold values of 85.7%, 72.1%, and 2.61L·d-1. Considering threshold values in men and women of 3.4L·d-1 and 2.6L·d-1, respectively, maintaining TWI in line with National Academy of Medicine guidelines of 3.7L·d-1 in men and 2.7L·d-1 in women should be sufficient for most individuals in the United States to maintain 24-h UOsm < 500mmol·kg-1.

Drinking Water in the United States: Implications of Water Safety, Access, and Consumption.

Recent water quality crises in the United States, and recognition of the health importance of drinking water in lieu of sugar-sweetened beverages, have raised interest in water safety, access, and consumption. This review uses a socioecological lens to examine these topics across the life course. We review water intakes in the United States relative to requirements, including variation by age and race/ethnicity. We describe US regulations that seek to ensure that drinking water is safe to consume for most Americans and discuss strategies to reduce drinking water exposure to lead, a high-profile regulated drinking water contaminant. We discuss programs, policies, and environmental interventions that foster effective drinking water access, a concept that encompasses key elements needed to improve water intake. We conclude with recommendations for research, policies, regulations, and practices needed to ensure optimal water intake by all in the United States and elsewhere.

Correlation of water consumption with nutritional status, metabolic risk and percentage of body fat in adults of Mexico City

AbstractThe promotion of water consumption has been identified by the government of Mexico as one of the main strategies to reduce the diet energy density in order to prevent the problems of overweight, obesity and other diseases. The aim of the present study was to determine the correlation of the water consumption with nutritional status, metabolic risk and percentage of body fat in adults of Mexico City. A sample of 12733 adults residing in Mexico City was obtained, of which 75.6% (n = 9 623) belongs to the female gender and 24.4% (n = 3110) belongs to the male gender. In the study those adults who were between 21 and 60 years old, with an average age of 39.59 ± 10.97 years, were included. The population was constituted in several health fairs celebrated in Mexico City from 2015–2018, in which nutritional consultation was provided. By correlating water consumption with nutritional status, metabolic risk and percentage of body fat, it was found that adults who consume a glass of water of 250 mL per day, have higher incidence of obesity, metabolic risk and percentage of body fat high (70.0%, 83.6% and 96.2, respectively), compared to adults who consume seven glasses of 250 mL of water per day equivalent to 1750 mL of water per day (40.4%, 63.8% and 92.9, respectively), finding a highly significant difference (p &lt; 0.01). In the present study it can be observed that adults who have optimal water intake have a lower incidence of obesity, metabolic risk and high percentage of body fat, data that agree with the literature. However, despite the fact that the multiple benefits of water intake have been documented, its consumption among the population in general is very low, so it is suggested to continue adding efforts to raise awareness among the population regarding the importance and benefits on health by staying well hydrated. Likewise, it is important to consider that the promotion of water consumption is an important component in strategies to promote healthy habits and lifestyles.

Optimal water intake and supply pump scheduling considering water quality safety in multiple water intake system

Optimal water intake and supply pump scheduling considering water quality safety in multiple water intake system

Improvement of Duration-Based Water Rights Management with Optimal Water Intake On/Off Events

Water rights management modeling was considered the useful measure to ensure efficient water resources allocation and to avoid intensifying conflicts over water rights. Regarding to the two major patterns of water rights across the world, namely, quantitative water rights (QWR) and duration-based water rights (DWR), the corresponding measures are fastidious. Since QWR was established to set water entitlements instead of DWR in Heihe River Basin, China, the disability of usual DWR tool, managing water diversion by water intakes closing (WIC) during a certain period, has arisen increasingly. The historical data also reflected the low reliability of DWR in allocating water resources quantitatively without modeling guidelines. Aimed at the challenge, a modeling framework and a mixed integer optimization model (MIOM) combing QWR objectives and DWR tools were developed, by which the optimal schemes in Pareto frontier were found to improve the water intake on/off events, including WIC stages, duration days, and starting date through long term series probability analysis and historical data. Results showed that the reliability of DWR allocation was enhanced and WIC duration was reduced significantly compared with current regulation. Scenario analyses indicated that MIOM was powerful for assisting DWR tool to manage QWR and the proposed framework was able to manage water rights efficiently in comparable basins.

Optimal water intake for the elderly: prevention of hypotremia

Aim The prevalence of hyponatremia in the elderly is quite high due to the rising of ADH and ANP concentrations which are part of eight physiologic changes. The complications are quite specific, among others, increased risk of bone fracture, declining of conciousness, and convulsion. The frequent cause of hyponatremia is high water intake. To achieve the optimal water intake designated as the highest water intake that did not cause hyponatremia and hypovolemia.

Stochastic multiobjective optimization model for allocating irrigation water to paddy fields

A stochastic multiobjective optimization model is presented to allocate irrigation waters to blocks of paddy fields in an agricultural district. Environmental uncertainty and temporal variation of water requirement at the fields are represented in the model formulation by employing a scenario-based description. To improve the efficiency of water use, two conflicting objectives, i.e., minimization of water withdrawal from a river and maximization of rice production, are expressed in linear objective functions. Water balances in a river, a field block and a channel network interconnecting with some blocks of paddy fields are considered as constraints. Adjusting a weight in a synthesized objective function results in producing a set of noninferior solutions, which could be useful in discussing water management alternatives in decision-making. The application of the presented model to a hypothetical irrigation district demonstrates that optimal water intake and allocations of irrigation waters could be produced.

URINE VOLUME AND TOTAL RENAL SODIUM EXCRETION DURING WATER DIURESIS

Excerpt The value of drastically reducing sodium intake in treating the edema of congestive heart failure is generally accepted. Concerning the optimal water intake during such sodium restriction r...