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Water Consumption

Water Consumpsion refers to the amount of water used by individuals, households, industries, or other entities for various purposes such as drinking, bathing, irrigation, and industrial processes.
It is an important factor in water resource management and sustainability.
Factors that influence water consumption include population growth, economic development, climate, and technological advancements.
Understanding patterns and trends in water consumption is crucial for developing effective water conservation strategies, ensuring water availability, and mitigating the impact of water scarcity.

Most cited protocols related to «Water Consumption»

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Publication 2012
Alcoholic Beverages Amniotic Fluid Beer Beverages Black Tea Carbohydrates Coffee Diet Drinks Eating Energy Drinks Fat-Restricted Diet Food Light Macronutrient Milk Soft Drinks Vegetable Juices Water Consumption Wine
The programming details of the induction phase include the designation of 3 experimental “States” for each session, imposed to separate the induction of ethanol drinking from the consumption of water and food later in the daily session. In “State 1” (scheduled-induced polydipsia) a food pellet was given every 300 seconds until the predetermined amount of fluid was consumed (or the daily food ration of pellets was delivered). “State 2” then ensued without pellet delivery and only vehicle (water) was available for 2 hours. However, if the induced dose of ethanol was not consumed in state 1 (an occurrence that would also indicate the entire daily food ration had been delivered under the fixed-time schedule), then ethanol remained the only fluid available in state 2 (this occurred in 5/900 or <0.5% of total ethanol induction sessions). “State 3” then began and any remaining pellets (daily ration minus pellets delivered under the fixed-time schedule) were available under a fixed ratio of 1 pellet for each press on the push panel. Water was also available. The preset volume of the induced fluid was completely consumed in either state 1 or state 2 in all, but 1 monkey on 1 day.
The main correlate of current study is daily ethanol intake (g/kg) during the 12-months of ethanol self-administration for 22 h/d (further details and characteristics of the 12 months of chronic ethanol self-administration to be published separately). Two sets of exploratory analyses, namely, principal components regression analysis (PCRA) and classification based on functional principal components analysis (FPCA), were performed to determine whether drinking behaviors on different induction doses (water, 0.5, 1.0, and 1.5 g/kg sessions) predict chronic alcoholic binge-drinker during 22-hour self-administration.
Publication 2008
Alcoholics Ethanol Food Monkeys Neoplasm Metastasis Obstetric Delivery Pellets, Drug Polydipsia Self Administration Water Consumption

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Publication 2010
Alcoholic Beverages Beverages Coffee Energy Drinks Eyeglasses Food Macronutrient Soft Drinks Sugars Sweetened Drinks Water Consumption
To date, the adequacy of water intake has been evaluated relative to dietary guidelines, or disease risk, or biomarkers of hydration. This analysis attempted to reconcile these three approaches into a combined, quantitative biomarker representing adequate intake for optimal hydration. To determine a threshold for 24 h UOsm representing adequate intake, three strategies were used. UOsm was assessed relative to dietary reference values, disease risk, and neuroendocrine control of water balance to determine whether these three approaches converged about a common, biologically-significant 24 h UOsm threshold. Specifically, urine osmolality was examined in relation to (1) existing European water intake dietary reference values [1 ]; (2) recent publications linking fluid intake and urine volume to lithiasis [4 (link)] and chronic kidney disease [7 (link)]; and (3) PAVP concentration. Statistical methods varied as a function of each approach, and included the use of ANOVA and receiver-operating characteristic (ROC) analysis to determine optimal UOsm cut-offs. For each strategy, the statistical methodology is presented in more detail. Moreover, due to the unique analytical approach of this study, in which three strategies are evaluated sequentially in order to arrive at a common conclusion, a brief discussion relevant to each strategy will be presented directly after each analysis. A general conclusion will follow.
Publication 2015
Biological Markers Chronic Kidney Diseases Diet Europeans Fluid Balance neuro-oncological ventral antigen 2, human Neurosecretory Systems Urine Urolithiasis Water Consumption
The aim of the experiment was to determine if standard laboratory rats (Long–Evans) will voluntarily consume ethanol when given intermittent-access to 20% ethanol using a 2-bottle-choice drinking paradigm without the use of sucrose fading. Twelve ethanol-naïve Long–Evans rats (360 ± 7 g) were given intermittent-access to 20% ethanol, as described above, for 20 drinking sessions (45 days). The ethanol and water intake was recorded on each ethanol day (no data collected during the 12th drinking session). In addition, the intake of water was recorded on the water days to enable comparison of the total fluid intake between the ethanol days (ethanol + water) and the water days.
Publication 2008
Ethanol Rats, Laboratory Rats, Long-Evans Sucrose Water Consumption

Most recents protocols related to «Water Consumption»

The sucrose preference test (SPT) was used to detect anhedonia, a core symptom of depression (Liu et al., 2018 (link)). In brief, after being deprived of water for 12 h, mice were placed in separate cages with two bottles for 12 h; one containing 1% sucrose solution (w/v) and the other containing tap water. The positions of bottles were switched after 6 h to avoid possible conditioned place preference. The formula for calculating the sucrose preference rate was as follows: sucrose preference rate (%) = {[sucrose consumption (g)/[sucrose consumption (g) + water consumption (g)]} × 100.
Publication 2023
Anhedonia Depressive Symptoms Mice, House Sucrose Water Consumption
A paper-based questionnaire was designed to obtain information on the demographics, diagnostic investigations, gastrointestinal cancers, year of diagnosis and treatment(s) received by the study participants. Additional information on the smoking status, alcohol consumption, sources of dietary proteins, daily intake of water, and frequency of fruit intake were obtained from the participants using the questionnaire. The information on nutrition obtained from the study participants relied on their ability to vividly recollect the constituent composition of their dietary foods. All data were handled anonymously and confidentially. Anonymity was ensured by the use of codes generated from the respondents’ initials. Data were stored and analyzed electronically using Microsoft Office (Excel) version 2016. The occurrence of all categorical data obtained in this study were expressed as percentages or cumulative frequencies.
A 2×2 contingency table was generated and used to calculate the odds ratio at 95% confidence interval for each category of GI cancers and a specified lifestyle.17 For each contingency table, patients diagnosed with a category of GI cancers under consideration was considered as bad outcome and all other patients were classified as a control group for that category of GI cancers. P-values were calculated in Microsoft Office (Excel) version 2016 using the upper and lower limits of the 95% confidence interval and z-statistic from each odds ratio calculation. P-value<.05 was considered statistically significant. The lifestyle of the study participants that were investigated for their association with gastrointestinal cancers were history of smoking, alcohol consumption, red meat consumption, seafood consumption, poultry and products consumption, and consumption of dietary plant proteins. Infrequent intake of fruits and insufficient daily water intake were also investigated for their association with gastrointestinal cancers.
The reporting of this study conforms to STROBE guidelines.18 (link)
Publication 2023
Diet Dietary Proteins Food Fowls, Domestic Fruit Gastrointestinal Cancer Mental Recall Patients Plant Proteins, Dietary Red Meat Seafood Water Consumption
This study used a prospective, longitudinal design to examine predictors of parent engagement in one component of the Imperial County, California, Childhood Obesity Research Demonstration study (CA-CORD). The objective of CA-CORD (conducted January 2012-June 2015), was to prevent and control childhood obesity by improving four weight-related behaviors: fruit and vegetable consumption, water consumption, physical activity, quality sleep. CA-CORD used a quasi-experimental pre/post-test design with three intervention arms and one control group, and implemented intervention strategies in five sectors: (1) healthcare, (2) early care and education centers, (3) schools, (4) community recreation organizations, and (5) restaurants. It was designed and implemented via a partnership between San Diego State University Research Foundation’s Institute for Behavioral and Community Health, Clínicas de Salud Del Pueblo, Inc., and the Imperial County Public Health Department. The full design and protocol of CA-CORD is described elsewhere [29 (link)]; it was registered as a clinical trial 22/07/2014 (Trial registration: NCT02197390).
The present study examined predictors of parent engagement in the Family Wellness Program, which was part of the CA-CORD healthcare sector intervention. The Family Wellness Program was included as part of an obesity care model implemented at Clínicas de Salud Del Pueblo, Inc., a large, federally-qualified health center. The program included a series of six healthy lifestyle workshops typically held weekly in small group settings (5–10 families per workshop). The workshops were led by trained community health workers (CHWs) and the content was rooted in health behavior change research and family systems theory [21 (link), 30 , 31 (link)]. Specifically, the evidence-based workshop curriculum was planned to promote health within the home by encouraging both parents and children to adopt healthy lifestyle behaviors by teaching them to navigate common challenges, such as social and structural barriers at home and in the community. For instance, parents received education on effective communication and parenting practices surrounding weight-related behaviors, including increasing parental capacity to set limits on certain behaviors, such as amount of screen time or sugary beverage consumption. Most workshop content was delivered to parents and children separately, though several joint activities were conducted. Families enrolled in the Family Wellness Program were also invited to attend a series of eight physical activity classes during the same six-week period as the lifestyle workshops. The physical activity classes taught families activities they could perform together at home. Parents received motivational interviewing phone calls at the start of the program and at quarterly intervals for the following year, to encourage attendance at workshops and classes, and the continued use of the new skills. Finally, parents received monthly educational newsletters. While the Family Wellness Program included many components, the outcome for the present study was attendance at the lifestyle workshops, as participation in the other components was either optional (i.e., physical activity classes) or passive (i.e., newsletters). All recruitment, informed consent, and measurement materials were approved by the SDSU Institutional Review Board and available in English and Spanish.
Publication 2023
AC protocol ARID1A protein, human Arm, Upper Behavior Control Beverages Carbohydrates Child Community Health Workers Cone-Rod Dystrophy 2 Ethics Committees, Research Fruit Hispanic or Latino Indium Joints Obesity Parent Pediatric Obesity Sleep Teaching Vegetables Water Consumption Wellness Programs Workshops
In this study, 60 adult Wistar albino rats (average weight: female rat 250-300 g, male rat 450-500 g) were randomly divided into 5 equal groups [6 males, 6 females (n = 12)]: group I (sham), group II (DOX), group III [treatment group I (DOX + P.v.L. hull extract 50 mg/kg)], group IV [treatment group II (DOX + P.v.L. hull extract 100 mg/kg)], group V (P.v.L. hull extract 100 mg/kg). The reason why we use both genders in rats, both male and female, is: heart diseases are found in people of both sexes, and one of the risk factors is gender. However, we could not obtain a statistically significant result in the evaluation made between rats according to their gender, so we presented the data in the general table without gender discrimination. Previously, male and female rats were treated with P.v.L. The response to this question was evaluated and compared separately. In order for the rats to adapt to the changing environmental conditions, they were housed for 5 days under routine housing conditions (temperature 22 ± 2ºC, 50% relative humidity, 12 hours of light and 12 hours of darkness, in type 3 cages with a transparent visible interior, designed to add standard rat chow, and ad libitum water) without any experimental intervention. All rats were fed with tap water and standard rat chow under standard conditions. The feeding of the rats was completely stopped 12 hours before the intervention. Female rats included in the study were placed in separate cages from male rats after the completion of the lactation period. During the study, experimental protocols were applied to rats grouped as male and female in separate cages. Due to this, vaginal plaque was not observed in female animals, and vaginal smear was not taken. Cardiac injury models were established as in previous study.18 For the experimental cardiac injury model, only food and water were given to group I for 15 days. In group II, DOX (2.5 mg/kg/day (15 days), a total dose of 37.5 mg/kg was administered intraperitoneally (IP). Group III was given only DOX for the first 7 days, then DOX and P.v.L. hull extract 50 mg/kg/day as gavage for 7 days. Group IV was given only DOX for the first 7 days, then DOX and P.v.L. hull extract 50 mg/kg/day as gavage for 7 days. In total, the duration of treatment was 15 days. Group V was given water for the first 7 days and P.v.L. hull extract by gavage for the next 7 days (Table 1). In total, the treatment lasted 15 days. At the end of the experiment (day 16), all rats were sacrificed under deep anesthesia (ketamine 90 mg/kg and xylazine 10 mg/kg IP), and their blood and all tissues were stored under appropriate conditions (Figure 1). Rats’ daily weight, feed, and water intake were followed up and noted. In the DOX-administered groups, the rats lost weight, their nutrition (feed and water consumption) decreased, they had diarrhea and nosebleeds and became weak. One male rat died in group II and group III.
Publication 2023
Adult Albinism Anesthesia Animals BLOOD Darkness Debility Dental Plaque Diarrhea Epistaxis Females Food Heart Diseases Heart Injuries Humidity Ketamine Lactation Light Males Rats, Wistar Tissues Tube Feeding Vagina Vaginal Smears Water Consumption Xylazine
Mouse metabolic rate was assessed by indirect calorimetry in an OxyletPro system (PanLab Harvard Apparatus). Mice were housed singly with water and food available ad libitum and maintained at ~22 °C under a 12:12-h light:dark cycle (light period 08:00–20:00). The concentrations of oxygen and carbon dioxide were monitored at the inlet and outlet of the sealed chambers to calculate oxygen consumption. Each chamber was measured for 60 s at 10-min intervals, and data were recorded for ~48 h total. Locomotor activity was monitored using an infrared photocell beam (rearing) and a sensor platform (activity). Food and water intake were automatically monitored using sensors in each cage.
Publication 2023
Calorimetry, Indirect Carbon dioxide Food Hypomenorrhea Locomotion Mus Oxygen Oxygen Consumption Water Consumption

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More about "Water Consumption"

Water usage, aqua consumption, hydro demand, liquid resource management, H2O utilization, aquatic footprint, water needs, hydrological demands, water draw, aqua intake, liquid resource expenditure.
Factors like population growth, economic development, climate, and technology can impact water consumption patterns and trends.
Understanding these dynamics is crucial for effective water conservation strategies, ensuring water availability, and mitigating water scarcity.
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