scholarly journals Stomach distention as a regulation of fluid intake

1974 ◽  
Vol 2 (3) ◽  
pp. 337-340 ◽  
Author(s):  
Robert Engstrom ◽  
Edward Deaux
Keyword(s):  
Fluid Intake ◽  
Stomach Distention

Watch Fluid Intake, Heat Illnesses in Young Athletes

2008 ◽  
Vol 41 (19) ◽  
pp. 28
Author(s):  
SUSAN LONDON
Keyword(s):  
Fluid Intake ◽  
Young Athletes

Nurses’ experience in improving adherence to fluid intake and diet in hemodialysis patients

2021 ◽  
Vol 31 ◽  
pp. S20-S23
Author(s):  
Dwi Retno Sulistyaningsih ◽  
Elly Nurachmah ◽  
Krisna Yetti ◽  
Sutanto Priyo Hastono
Keyword(s):  
Fluid Intake ◽  
Hemodialysis Patients

scholarly journals Reexamination of Total Fluid Intake and Bladder Cancer in the Health Professionals Follow-Up Study Cohort

2012 ◽  
Vol 175 (7) ◽  
pp. 696-705 ◽  
Author(s):  
J. Zhou ◽  
S. Smith ◽  
E. Giovannucci ◽  
D. S. Michaud
Keyword(s):  
Bladder Cancer ◽  
Health Professionals ◽  
Fluid Intake ◽  
Study Cohort ◽  
Total Fluid Intake ◽  
Follow Up Study ◽  
Total Fluid

scholarly journals Correction to: Analysis of food and fluid intake in elite ultra-endurance runners during a 24-h world championship

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Chloé Lavoué ◽  
Julien Siracusa ◽  
Émeric Chalchat ◽  
Cyprien Bourrilhon ◽  
Keyne Charlot
Keyword(s):  
Fluid Intake ◽  
World Championship ◽  
Endurance Runners ◽  
Ultra Endurance ◽  
Food And Fluid Intake

An amendment to this paper has been published and can be accessed via the original article.

Fluid intake recognition using inertial sensors

2019 ◽  
Author(s):  
Arne Wellnitz ◽  
Johann-Peter Wolff ◽  
Christian Haubelt ◽  
Thomas Kirste
Keyword(s):  
Fluid Intake ◽  
Inertial Sensors

How predictive is body weight on fluid intake in rats? It depends on sex.

2021 ◽  
Vol 229 ◽  
pp. 113262
Author(s):  
Jessica Santollo ◽  
Andrea A. Edwards
Keyword(s):  
Body Weight ◽  
Fluid Intake

scholarly journals Sequential Dependencies in Solid and Fluid Intake in Nursing Home Residents with Dementia: A Multistate Model

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 915-915
Author(s):  
Wen Liu ◽  
Kristine Williams ◽  
Yong Chen
Keyword(s):  
Nursing Home ◽  
Fluid Intake ◽  
Nursing Home Residents ◽  
Temporal Association ◽  
Negative Consequences ◽  
Severe Dementia ◽  
Assistance Programs ◽  
Sequential Dependencies ◽  
Dementia Severity ◽  
Multinomial Logit Models

Abstract Nursing home (NH) residents with dementia commonly experience low food intake leading to negative consequences. While multilevel factors influence intake, evidence is lacking on how intake is sequentially associated. This study examined the temporal association between previous and current solid and fluid intake in NH residents with dementia. We analyzed 160 mealtime videos involving 27 residents and 36 staff (53 dyads) in 9 NHs. The dependent variable was the current intake state (fluid, solid, no-intake). Independent variables included the prior intake state, technique of current intake state (resident-initiated, staff-facilitated), duration between previous and current intakes. Covariates included resident and staff characteristics. Two-way interactions of duration and technique with the prior intake state, and resident comorbidity and dementia severity were examined using Multinomial Logit Models. Interactions were significant for technique by comorbidity, technique by dementia severity, technique by prior fluid and solid intake, and duration by prior fluid intake. Successful previous intake increased odds of current solid and fluid intake. Staff-facilitation (vs. resident-initiation) reduced odds of solid and fluid intake for residents with moderately severe (vs. severe) dementia. Higher morbidity decreased odds of solid intake (vs. no-intake) for staff-facilitated intake. Resident with severe dementia had smaller odds of solid and fluid intake for resident-initiated intake. Longer duration increased odds of transition from liquid to solid intake. Findings supported strong sequential dependencies in intake, indicating the promise of intervening behaviorally to modify transitions to successful intake during mealtime. Findings inform the development and implementation of innovative mealtime assistance programs to promote intake.

User-centered Requirements for Patient Fluid Intake Monitoring Support

2020 ◽  
Vol 64 (1) ◽  
pp. 736-740
Author(s):  
Ellen J. Bass ◽  
Andrew J. Abbate ◽  
Yaman Noaiseh ◽  
Rose Ann DiMaria-Ghalili
Keyword(s):  
Data Analysis ◽  
Focus Group ◽  
Focus Groups ◽  
Real Time ◽  
Information Needs ◽  
Fluid Intake ◽  
Fluid Consumption ◽  
Registered Dietitians ◽  
Group Data ◽  
Focus Group Data

There is a need to support patients with monitoring liquid intake. This work addresses development of requirements for real-time and historical displays and reports with respect to fluid consumption as well as alerts based on critical clinical thresholds. We conducted focus groups with registered nurses and registered dietitians in order to identify the information needs and alerting criteria to support fluid consumption measurement. This paper presents results of the focus group data analysis and the related requirements resulting from the analysis.

scholarly journals Effects of a 14-Day Hydration Intervention on Individuals with Habitually Low Fluid Intake

2021 ◽  
Author(s):  
Aaron R. Caldwell ◽  
Megan E. Rosa-Caldwell ◽  
Carson Keeter ◽  
Evan C. Johnson ◽  
François Péronnet ◽  
...  
Keyword(s):  
Body Weight ◽  
Total Body Water ◽  
Fluid Intake ◽  
Urine Volume ◽  
Urine Osmolality ◽  
Body Water ◽  
Control Group ◽  
Intervention Phase ◽  
Total Body ◽  
Experimental Group

<b><i>Background:</i></b> Debate continues over whether or not individuals with low total water intake (TWI) are in a chronic fluid deficit (i.e., low total body water) [<xref ref-type="bibr" rid="ref1">1</xref>]. When women with habitually low TWI (1.6 ± 0.5 L/day) increased their fluid intake (3.5 ± 0.1 L/day) for 4 days 24-h urine osmolality decreased, but there was no change in body weight, a proxy for total body water (TBW) [<xref ref-type="bibr" rid="ref2">2</xref>]. In a small (<i>n</i> = 5) study of adult men, there were no observable changes in TBW, as measured by bioelectrical impedance, after increasing TWI for 4 weeks [<xref ref-type="bibr" rid="ref3">3</xref>]. However, body weight increased and salivary osmolality decreased indicating that the study may have been underpowered to detect changes in TBW. Further, no studies to date have measured changes in blood volume (BV) when TWI is increased. <b><i>Objectives:</i></b> Therefore, the purpose of this study was to identify individuals with habitually low fluid intake and determine if increasing TWI, for 14 days, resulted in changes in TBW or BV. <b><i>Methods:</i></b> In order to identify individuals with low TWI, 889 healthy adults were screened. Participants with a self-reported TWI less than 1.8 L/day (men) or 1.2 L/day (women), and a 24-h urine osmolality greater than 800 mOsm were included in the intervention phase of the study. For the intervention phase, 15 participants were assigned to the experimental group and 8 participants were assigned to the control group. The intervention period lasted for 14 days and consisted of 2 visits to our laboratory: one before the intervention (baseline) and 14 days into the intervention (14-day follow-up). At these visits, BV was measured using a CO-rebreathe procedure and deuterium oxide (D<sub>2</sub>O) was administered to measure TBW. Urine samples were collected immediately prior, and 3–8 h after the D<sub>2</sub>O dose to allow for equilibration. Prior to each visit, participants collected 24-h urine to measure 24-h hydration status. After the baseline visit, the experimental group increased their TWI to 3.7 L for males and 2.7 L for females in order to meet the current Institute of Medicine recommendations for TWI. <b><i>Results:</i></b> Twenty-four-hour urine osmolality decreased (−438.7 ± 362.1 mOsm; <i>p</i> &#x3c; 0.001) and urine volume increased (1,526 ± 869 mL; <i>p</i> &#x3c; 0.001) in the experimental group from baseline, while there were no differences in osmolality (−74.7 ± 572 mOsm; <i>p</i> = 0.45), or urine volume (−32 ± 1,376 mL; <i>p</i> = 0.89) in the control group. However, there were no changes in BV (Fig. <xref ref-type="fig" rid="f01">1</xref>a) or changes in TBW (Fig. <xref ref-type="fig" rid="f01">1</xref>b) in either group. <b><i>Conclusions:</i></b> Increasing fluid intake in individuals with habitually low TWI increases 24-h urine volume and decreases urine osmolality but does not result in changes in TBW or BV. These findings are in agreement with previous work indicating that TWI interventions lasting 3 days [<xref ref-type="bibr" rid="ref2">2</xref>] to 4 weeks [<xref ref-type="bibr" rid="ref3">3</xref>] do not result in changes in TBW. Current evidence would suggest that the benefits of increasing TWI are not related changes in TBW.

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